An Epistemology for Life-Extension Science - The Experimental Animal Model A Consensus Survey (version 3)
This "consensus" survey is directed to individuals with expertise in animal experimentation vis a vis gerontology and life-extension. It is the third reiteration of the survey with modifications and expansions included from the recommendations which have been made by the initial panel of experts. There are two sections. The first is a synoptic statement; and the second is the detailed questionnaire from which that synopsis is derived. If you do not want to complete the detailed questionnaire, then your opinion on the synopsis would still be appreciated. The results of the survey will be sent to all contributors. I appreciate your time and expertise. All responses are confidential. If you wish to refer other experts to the survey, please do so at [http://www.fis.org/epistemology/survey-3.html]. Thank you for your contributions, Chadd Everone. Rationale The objective here is to establish a formal set of criteria (an epistemology) for conducting life-extension experiments in animal models. The purpose is to promulgate research protocols which yield relevant information and which avoid the common artifacts that, although well recognized for decades, continue to be over-looked in most of the experiments in this field. The central issue can be stated as follows. If a therapeutic modality is to be tested in an animal model for its effects on life-extension and control of ageing and for its possible relevance to human application, then what criteria make such an experiment valid? In addition, how may the experimental data be reported in a manner that it is easy to evaluate by independent sources? Again, the focus here is only on the formulation of an epistemology for life-extension experiments in an animal model. There is a different epistemology for life-extension experiments in humans, which is reviewed here only briefly, at the end of the survey in Section 9. Further, the epistemology for gerontology should be considered distinct from the epistemology for life-extension; and that is also discussed briefly in Section 9. It is understood that this epistemology for life-extension science in animal models is a dynamic schematic and contingent on changing criteria as this discipline evolves. The effort, here, is incomplete and requires expanded exposition in several areas, including such topics as: a) multiple animal models, b) the testing of experimental agents within the more sophisticated paradigm of caloric restriction, c) biological parameters of animals which correspond to life-extension effects, and d) the interface between animal models and human application. There is an extended rationale for why the definition of an epistemology for life-extension science is important and most of that is already well known to gerontologists. This includes such issues as: the distinction between life-extension science and gerontology; the place of the animal model vis a vis life-extension science in humans; and the relationship of life-extension science to the currently prevailing paradigms in health, disease prevention, and curative medicine. Although important, these issues are ancillary to the main subject here (i.e., the animal model); and their discussion is included, in rough exposition, in Section 9. The original questionnaire for this survey was sent to a small number of individuals who are recognized authorities in life-extension experiments in animals. Based on their responses, modifications were made and incorporated into this survey which is divided into two components - the synopsis and the full survey. This third revision of the survey is directed to virtually all individuals who can be identified as being involved in related scientific fields and who can be contacted by e-mail. If you complete the full survey, then responding to the synopsis is not necessary. Synopsis Epistemological Principles of Life-extenion Science in Animal Models The survival curve is the primary experimental paradigm for evaluating life-extension in animal models. The two principal parameters of the survival curve are: 1) the "median" life-span or age at which 50% of the cohort is still living; and 2) the "maximum" life-span or the age at which the last individual of the cohort dies. Life-extension effects may be distinguished as being of two types - "Phase I" and "Phase II". A "Phase I" Life-extension Effect occurs when the median life-span is increased, but the maximum life-span in not increased. In this situation, a beneficial health effect may be indicated but not any amelioration of biological ageing. A "Phase II" Life-extension Effect occurs when the maximum life-span is increased. In this situation, the median life-span will have been increased also, and both a beneficial health effect and a slowing of ageing may be indicated. Such a modality may be said to be a potential "anti-ageing treatment" and candidate for human applications. In the display of a survival curve, the Treated, experimental cohort is compared to the survival curve of the untreated, Control cohort. And both of those curves are compared to optimal Reference Controls as published in the literature for the particular strain of animal that is being used. Using such Reference Controls will make apparent the common artifact that is caused by sub-optimal controls. To avoid the artifact of a life-extension effect by the slowing of growth, an experiment must be initiated at an age, after which development has ceased in the particular strain of animal. To discover the artifact of a life-extension effect by unintentional, caloric restriction, the body weights and food consumption of both the Treated and the Controls should be taken at appropriate intervals. The food consumption might also be compared to that of Optimal Reference Controls in the literature. An anti-ageing treatment must increase both the median and maximum life-span in more than one mammalian model. In addition to the extensions in the median and maximum parameters of the survival curve, an anti-ageing treatment must significantly delay the age of onset and the age-specific incidence of the major age-related diseases that are associated with mortality in the models under study. Further, the treated animals, when compared to controls, must have significantly better physiological and behavioral functions at ages at and beyond the median life-span. The biology of the animal model must be as comparable as possible to human biology, given the practicalities of costs and husbandry. Various criteria for a proper animal model, all of which pertain, include the following: 1) Inbred strain or hybrid (F1) strain of rodent, 2) genetically well characterized, 3) a long lived strain that ages, 4) no single dominant disease, 5) optimal survival curve, well established, 6) pathologies similar to humans, 7) a supply of the strain, readily available from a certified breeder, 8) three stages of the life-span trajectory, analogous to humans, 9) a decline in lean body mass with age, 10) no marked difference in body mass within the cohorts. The ad libitum feeding protocol is the most feasible at this time. Husbandry procedures are fairly well established for optimal experimental conditions. The C57BL/6j mouse is one valid animal model, fulfilling all of the essential experimental criteria. I solicit comments from any scientist who is involved in gerontology, life-extension experiements, animal research, or simply good scientific methodology. If you are directly involved in animal studies, I hope that you will complete the Full Survey Questionnaire which follows. It does not take as much time as it might appear - most issues can be answered with the "yes" or "no" buttons. If commenting only on this Synopsis, then use the "Submit" button which is immediately below. Again, all submittals are confidential. Comments:
Rationale
The objective here is to establish a formal set of criteria (an epistemology) for conducting life-extension experiments in animal models. The purpose is to promulgate research protocols which yield relevant information and which avoid the common artifacts that, although well recognized for decades, continue to be over-looked in most of the experiments in this field.
The central issue can be stated as follows. If a therapeutic modality is to be tested in an animal model for its effects on life-extension and control of ageing and for its possible relevance to human application, then what criteria make such an experiment valid? In addition, how may the experimental data be reported in a manner that it is easy to evaluate by independent sources? Again, the focus here is only on the formulation of an epistemology for life-extension experiments in an animal model. There is a different epistemology for life-extension experiments in humans, which is reviewed here only briefly, at the end of the survey in Section 9. Further, the epistemology for gerontology should be considered distinct from the epistemology for life-extension; and that is also discussed briefly in Section 9. It is understood that this epistemology for life-extension science in animal models is a dynamic schematic and contingent on changing criteria as this discipline evolves.
The effort, here, is incomplete and requires expanded exposition in several areas, including such topics as: a) multiple animal models, b) the testing of experimental agents within the more sophisticated paradigm of caloric restriction, c) biological parameters of animals which correspond to life-extension effects, and d) the interface between animal models and human application.
There is an extended rationale for why the definition of an epistemology for life-extension science is important and most of that is already well known to gerontologists. This includes such issues as: the distinction between life-extension science and gerontology; the place of the animal model vis a vis life-extension science in humans; and the relationship of life-extension science to the currently prevailing paradigms in health, disease prevention, and curative medicine. Although important, these issues are ancillary to the main subject here (i.e., the animal model); and their discussion is included, in rough exposition, in Section 9.
The original questionnaire for this survey was sent to a small number of individuals who are recognized authorities in life-extension experiments in animals. Based on their responses, modifications were made and incorporated into this survey which is divided into two components - the synopsis and the full survey. This third revision of the survey is directed to virtually all individuals who can be identified as being involved in related scientific fields and who can be contacted by e-mail. If you complete the full survey, then responding to the synopsis is not necessary.
I solicit comments from any scientist who is involved in gerontology, life-extension experiements, animal research, or simply good scientific methodology. If you are directly involved in animal studies, I hope that you will complete the Full Survey Questionnaire which follows. It does not take as much time as it might appear - most issues can be answered with the "yes" or "no" buttons. If commenting only on this Synopsis, then use the "Submit" button which is immediately below.
Again, all submittals are confidential.
The Full Survey Questionnaire The following epistemology contains six components: 1) General criteria for a proper animal experiment for life-extension science, 2) General criteria for a proper animal model for life-extension science, 3) Other criteria for the experimental protocol, 4) Recommended husbandry procedures, 5) Reporting of the experimental data, 6) Ancillary considerations, 7) The C57BL/6j mouse is a valid animal model, 8) Other animal models, and 9) Some general considerations. Section 1 - GENERAL CRITERIA FOR AN ANIMAL EXPERIMENT 1(a) - The survival curve is the primary and defining, experimental paradigm for evaluating life-extension in animal models. In this display of the data, the percentage of cohort survival is plotted against the chronological age. Those criteria satisfy the essential elements of "survival data" - 1) a time of origin, objectively defined (i.e., birth, and the initiation of treatment), 2) a scale of measuring the passage of time (i.e., daily, weekly, or monthly intervals), and 3) the meaning of failure (i.e., percentage of the original population which is surviving, that being the inverse of mortality). [1a] [1a] Analysis of Survival Data. Cox DR & Oakes D. Chapman & Hall, 1984. yes no no-response. Comments: 1(b) - The two principal parameters of the survival curve are: 1) the "median" life-span or age at which 50% of the cohort is still living; and 2) the "maximum" life-span or the age at which the last individual of the cohort dies. Generally speaking, if the median life-span is increased, but not the maximum life-span, then a beneficial health effect may be indicated but not any amelioration of ageing. Such an effect can be described as "Phase I - Life-extension". If the maximum life-span is increased, then the median life-span will also have been increased, and both a beneficial health effect and a slowing of ageing may be indicated. Such an effect can be described as "Phase II - Life-extension". That latter modality may be said to be a potential "anti-ageing treatment". These criteria are defined further at 1(e), below. yes no no-response. Comments: 1(b)1 - Several qualifications to these criteria have been noted. 1) Some investigators believe that the "maximal" life-span (i.e., the age at which 90% of the cohort has died) is better than the "maximum" so that the survival curve is not skewed by a few, exceptionally hearty individuals. 2) An analysis of the shape of the survival curve, according to Gompertzian, mathematical characteristics, might be used to evaluate a life-extension effect. However, it has also been noted that the slope of the survival curve can be slowed by excess early deaths, as well as by reduced late deaths; and those factors can be misleading. 3) Some investigators hold that, in a particular experiment, biological parameters, which are associated with health, will be improved but not show a change in any of the aspects of the survival curve. While such bio-markers might be useful in gerontology, they probably would not be within the domain of life-extension, proper, because a life-extension effect is the governing criterion for life-extension science. These three variables are not addressed in this epistemology at this time; and their inclusion or exclusion would neither nullify or materially modify the principles of the epistemology as stated herein. Comments: The main elements of the survival curve are the following. 1(c) - The survival curve of the Experimental Treated animals (a.k.a., Treated or ET) is compared to the survival curve of the untreated, Experimental Control cohort (a.k.a., Controls or EC). yes no no-response. Comments: 1(d) - Both of those survival curves are compared to a reference range of survival curves (a.k.a., Reference Controls or RC) which is a composite of published studies of optimal, untreated Controls for the particular strain of animal. The use of such optimal, survival curves of untreated controls, as a reference for an experiment, has not been used in reports up to this point in time; and therefore it requires some justification. When the survival curve of the Controls and the Treated are compared, many life-extension studies show a life-extension effect; however, if one were to compare those experimental cohorts with Reference Controls, as published in the literature, then it can be seen whether or not the ostensible life-extension is real. Frequently, there are idiosyncratic nutritional and environmental variables which cause sub-optimal survival in the Controls but for which a therapeutic agent compensates; thus yielding only apparent life-extension. This common artifact can be easily seen when the experimental data are compared to optimal Reference Controls. yes no no-response. Comments: 1(e) - The elements of the survival curve and various experimental results are described further as follows. 1(e)1 - Reference Controls (RC). A reference range of optimal, untreated controls (as published in the literature for the particular strain of animal) should be used as a basis for comparing the experimental control and treated cohorts. Figure 1(e)1 yes no no-response. Comments: 1(e)2 - Experimental Controls (EC) should be within the range of the Reference Controls. This would demonstrate that husbandry conditions are adequate and would not represent an artifact. yes no no-response. Comments: 1(e)3 - Sub-optimal Controls. If the Experimental Controls are sub-optimal, then the husbandry conditions are inadequate and the experiment is flawed. yes no no-response. Comments: 1(e)4 - Super-optimal Controls. Although unlikely, it has happened that a genetic drift or some improvement in husbandry conditions has occurred in established strains, resulting in an improvement of the survival curve of the Reference Controls. This would be of considerable scientific importance and should be reported. yes no no-response. Comments: 1(e)5 - If both the Treated and Control cohorts are within the Reference Range, then the therapeutic modality has a "null effect" - both in terms of health improvement and life-extension. yes no no-response. Comments: 1(e)6 - If the survival curve of the Treated Cohort is below that of both the Control's and the Reference Range, then the therapeutic modality causes a "toxic effect". yes no no-response. Comments: 1(e)7 - If the survival curve of the Controls is sub-optimal but that of the Treated Cohort is superior but still in the Reference Range, then the therapeutic modality has compensated for inadequate husbandry; but there is still a "null effect", both in terms of health improvement and life-extension. yes no no-response. Comments: 1(e)8 - If the curve of the Experimental Controls is within the zone of the Reference Controls and that of the Experimental Treated shows only an increase in median life-expectancy and a squaring of the survival curve, then there is a "health improvement effect", without slowing ageing - assuming similar body weights and food consumption for the Treated and Controls. If the food consumption and the body weights are below that of the Controls, then caloric restriction is most-likely the cause of the health effect. yes no no-response. Comments: 1(e)9 - If the Experimental Controls are within the zone of the Reference Controls and if the Experimental Treated show an extension of both median life-span and maximum life-span, where the entire survival curve is extended and shifted to the right, then there is a "life-extension effect", having been caused most-likely by the prevention of disease and a slowing of ageing - assuming similar body weights and food consumption for the Treated and Controls. yes no no-response. Comments: 1(e)10 - The above are restated in the composite graph below. RC = the shaded range for optimal Reference Controls, as reported in the literature. EC = the Controls for the experimenta cohort should be in the optimal reference range. This would indicate that the husbandry conditions are adequate and that the experiment is not faulted by sub-optimal controls. ET-toxic = a Treated cohort in which the experimental agent has a toxic effect, as evidenced by a decrease in the survival curve when compared to both the experimental Controls and the Reference Controls. ET-phase I = a Treated cohort in which the experimental agent increased the median life-span but not the maximum, indicating that health has been ameliorated and disease prevented or retarded, but there was no effect on fundamental ageing. ET-phase II = a Treated cohort in which the experimental agent extended both the median and the maximum life-span, indicating an amelioration of health, prevention or retardation of disease, and a slowing fundamental ageing. yes no no-response. Comments: 1(f) - To avoid the artifact of a life-extension effect by the slowing of growth, an experiment must be initiated at an age, after which development has fully ceased in the particular strain of animal. This can be determined by an analysis of when the lean body mass for the particular strain is no longer increasing and when there is closure of the epiphyses. (Epiphyses - "The head of a long bone that is separated from the shaft by the epiphyseal plate until bone growth stops. At that time, the plate disappears and the head and shaft are united." ref. MeSH vocabulary, MEDLINE.) The criterion of initiating an application after growth has ceased corresponds to practical applications in humans which would only be initiated in adults. yes no no-response. Comments: 1(g) - To discover the artifact of a life-extension effect by caloric restriction, the body weights of both the Experimental Treated and the Controls should be taken at the time the experiment begins and at intervals of at least 1 month thereafter for a reasonable period of time. The data should be graphically displayed also using a reference range for the weight of optimal Controls. RC = the shaded range of optimal body weights, as reported in the literature and as correlative to optimal survival curves, serves as Reference Controls. EC & ET = the body weights of Experimental Controls and the body weights of the Experimental Treated must be similar. ET-toxic or caloric restricted = if the body weights of the Treated are sub-optimal, then the experimental agent is either toxic or is, in some way, inducing caloric restriction. This can be elucidated by measuring and comparing food consumption at 7 day intervals over a 2 month period. If food consumption is similar, then the agent is probably toxic. If the Experimentals are eating less, then the agent probably makes the food taste bad and therefore consumption is less, and that is causing a caloric restriction effect. Or, less likely, the agent inhibits hunger by an endogenous mechanism, in which case it might prove to be a useful life-extension agent. yes no no-response. Comments: 1(h) - Similar to above, to discover the artifact of a life-extension effect by caloric restriction, the food consumption of both the Experimental Treated and the Controls should be measured at the time the experiment begins and at intervals of at least 1 month thereafter for a reasonable period of time. The data should be graphically displayed also using a reference range for the food consumption of optimal Controls. yes no no-response. Comments: 1(i) - An anti-ageing treatment must increase both the median and maximum life-span in a mammalian model as defined by the criteria which are established in Section 2. yes no no-response. Comments: 1(i)1 - Further, a valid life-extension modality must increase both the median and maximum life-span in at least two mammalian models as defined by the criteria which are established in Section 2. yes no no-response. Comments: 1(j) - Also, a valid life-extension modality must have demonstrated, in the Treated cohort, significantly better physiological and behavioral functions at ages at and beyond the median life-span. yes no no-response. Comments:
The following epistemology contains six components: 1) General criteria for a proper animal experiment for life-extension science, 2) General criteria for a proper animal model for life-extension science, 3) Other criteria for the experimental protocol, 4) Recommended husbandry procedures, 5) Reporting of the experimental data, 6) Ancillary considerations, 7) The C57BL/6j mouse is a valid animal model, 8) Other animal models, and 9) Some general considerations.
The following epistemology contains six components:
1) General criteria for a proper animal experiment for life-extension science,
2) General criteria for a proper animal model for life-extension science,
3) Other criteria for the experimental protocol,
4) Recommended husbandry procedures,
5) Reporting of the experimental data,
6) Ancillary considerations,
7) The C57BL/6j mouse is a valid animal model,
8) Other animal models, and
9) Some general considerations.
Section 1 - GENERAL CRITERIA FOR AN ANIMAL EXPERIMENT
1(a) - The survival curve is the primary and defining, experimental paradigm for evaluating life-extension in animal models. In this display of the data, the percentage of cohort survival is plotted against the chronological age. Those criteria satisfy the essential elements of "survival data" - 1) a time of origin, objectively defined (i.e., birth, and the initiation of treatment), 2) a scale of measuring the passage of time (i.e., daily, weekly, or monthly intervals), and 3) the meaning of failure (i.e., percentage of the original population which is surviving, that being the inverse of mortality). [1a]
[1a] Analysis of Survival Data. Cox DR & Oakes D. Chapman & Hall, 1984.
1(b) - The two principal parameters of the survival curve are: 1) the "median" life-span or age at which 50% of the cohort is still living; and 2) the "maximum" life-span or the age at which the last individual of the cohort dies. Generally speaking, if the median life-span is increased, but not the maximum life-span, then a beneficial health effect may be indicated but not any amelioration of ageing. Such an effect can be described as "Phase I - Life-extension". If the maximum life-span is increased, then the median life-span will also have been increased, and both a beneficial health effect and a slowing of ageing may be indicated. Such an effect can be described as "Phase II - Life-extension". That latter modality may be said to be a potential "anti-ageing treatment".
These criteria are defined further at 1(e), below.
1(b)1 - Several qualifications to these criteria have been noted. 1) Some investigators believe that the "maximal" life-span (i.e., the age at which 90% of the cohort has died) is better than the "maximum" so that the survival curve is not skewed by a few, exceptionally hearty individuals. 2) An analysis of the shape of the survival curve, according to Gompertzian, mathematical characteristics, might be used to evaluate a life-extension effect. However, it has also been noted that the slope of the survival curve can be slowed by excess early deaths, as well as by reduced late deaths; and those factors can be misleading. 3) Some investigators hold that, in a particular experiment, biological parameters, which are associated with health, will be improved but not show a change in any of the aspects of the survival curve. While such bio-markers might be useful in gerontology, they probably would not be within the domain of life-extension, proper, because a life-extension effect is the governing criterion for life-extension science. These three variables are not addressed in this epistemology at this time; and their inclusion or exclusion would neither nullify or materially modify the principles of the epistemology as stated herein.
The main elements of the survival curve are the following.
1(c) - The survival curve of the Experimental Treated animals (a.k.a., Treated or ET) is compared to the survival curve of the untreated, Experimental Control cohort (a.k.a., Controls or EC).
1(d) - Both of those survival curves are compared to a reference range of survival curves (a.k.a., Reference Controls or RC) which is a composite of published studies of optimal, untreated Controls for the particular strain of animal. The use of such optimal, survival curves of untreated controls, as a reference for an experiment, has not been used in reports up to this point in time; and therefore it requires some justification. When the survival curve of the Controls and the Treated are compared, many life-extension studies show a life-extension effect; however, if one were to compare those experimental cohorts with Reference Controls, as published in the literature, then it can be seen whether or not the ostensible life-extension is real. Frequently, there are idiosyncratic nutritional and environmental variables which cause sub-optimal survival in the Controls but for which a therapeutic agent compensates; thus yielding only apparent life-extension. This common artifact can be easily seen when the experimental data are compared to optimal Reference Controls.
1(e) - The elements of the survival curve and various experimental results are described further as follows.
1(e)1 - Reference Controls (RC). A reference range of optimal, untreated controls (as published in the literature for the particular strain of animal) should be used as a basis for comparing the experimental control and treated cohorts.
1(e)2 - Experimental Controls (EC) should be within the range of the Reference Controls. This would demonstrate that husbandry conditions are adequate and would not represent an artifact.
1(e)3 - Sub-optimal Controls. If the Experimental Controls are sub-optimal, then the husbandry conditions are inadequate and the experiment is flawed.
1(e)4 - Super-optimal Controls. Although unlikely, it has happened that a genetic drift or some improvement in husbandry conditions has occurred in established strains, resulting in an improvement of the survival curve of the Reference Controls. This would be of considerable scientific importance and should be reported.
1(e)5 - If both the Treated and Control cohorts are within the Reference Range, then the therapeutic modality has a "null effect" - both in terms of health improvement and life-extension.
1(e)6 - If the survival curve of the Treated Cohort is below that of both the Control's and the Reference Range, then the therapeutic modality causes a "toxic effect".
1(e)7 - If the survival curve of the Controls is sub-optimal but that of the Treated Cohort is superior but still in the Reference Range, then the therapeutic modality has compensated for inadequate husbandry; but there is still a "null effect", both in terms of health improvement and life-extension.
1(e)8 - If the curve of the Experimental Controls is within the zone of the Reference Controls and that of the Experimental Treated shows only an increase in median life-expectancy and a squaring of the survival curve, then there is a "health improvement effect", without slowing ageing - assuming similar body weights and food consumption for the Treated and Controls. If the food consumption and the body weights are below that of the Controls, then caloric restriction is most-likely the cause of the health effect.
1(e)9 - If the Experimental Controls are within the zone of the Reference Controls and if the Experimental Treated show an extension of both median life-span and maximum life-span, where the entire survival curve is extended and shifted to the right, then there is a "life-extension effect", having been caused most-likely by the prevention of disease and a slowing of ageing - assuming similar body weights and food consumption for the Treated and Controls.
1(e)10 - The above are restated in the composite graph below.
RC = the shaded range for optimal Reference Controls, as reported in the literature.
EC = the Controls for the experimenta cohort should be in the optimal reference range. This would indicate that the husbandry conditions are adequate and that the experiment is not faulted by sub-optimal controls.
ET-toxic = a Treated cohort in which the experimental agent has a toxic effect, as evidenced by a decrease in the survival curve when compared to both the experimental Controls and the Reference Controls.
ET-phase I = a Treated cohort in which the experimental agent increased the median life-span but not the maximum, indicating that health has been ameliorated and disease prevented or retarded, but there was no effect on fundamental ageing.
ET-phase II = a Treated cohort in which the experimental agent extended both the median and the maximum life-span, indicating an amelioration of health, prevention or retardation of disease, and a slowing fundamental ageing.
1(f) - To avoid the artifact of a life-extension effect by the slowing of growth, an experiment must be initiated at an age, after which development has fully ceased in the particular strain of animal. This can be determined by an analysis of when the lean body mass for the particular strain is no longer increasing and when there is closure of the epiphyses. (Epiphyses - "The head of a long bone that is separated from the shaft by the epiphyseal plate until bone growth stops. At that time, the plate disappears and the head and shaft are united." ref. MeSH vocabulary, MEDLINE.) The criterion of initiating an application after growth has ceased corresponds to practical applications in humans which would only be initiated in adults.
1(g) - To discover the artifact of a life-extension effect by caloric restriction, the body weights of both the Experimental Treated and the Controls should be taken at the time the experiment begins and at intervals of at least 1 month thereafter for a reasonable period of time. The data should be graphically displayed also using a reference range for the weight of optimal Controls.
RC = the shaded range of optimal body weights, as reported in the literature and as correlative to optimal survival curves, serves as Reference Controls.
EC & ET = the body weights of Experimental Controls and the body weights of the Experimental Treated must be similar.
ET-toxic or caloric restricted = if the body weights of the Treated are sub-optimal, then the experimental agent is either toxic or is, in some way, inducing caloric restriction. This can be elucidated by measuring and comparing food consumption at 7 day intervals over a 2 month period. If food consumption is similar, then the agent is probably toxic. If the Experimentals are eating less, then the agent probably makes the food taste bad and therefore consumption is less, and that is causing a caloric restriction effect. Or, less likely, the agent inhibits hunger by an endogenous mechanism, in which case it might prove to be a useful life-extension agent.
1(h) - Similar to above, to discover the artifact of a life-extension effect by caloric restriction, the food consumption of both the Experimental Treated and the Controls should be measured at the time the experiment begins and at intervals of at least 1 month thereafter for a reasonable period of time. The data should be graphically displayed also using a reference range for the food consumption of optimal Controls.
1(i) - An anti-ageing treatment must increase both the median and maximum life-span in a mammalian model as defined by the criteria which are established in Section 2.
1(i)1 - Further, a valid life-extension modality must increase both the median and maximum life-span in at least two mammalian models as defined by the criteria which are established in Section 2.
1(j) - Also, a valid life-extension modality must have demonstrated, in the Treated cohort, significantly better physiological and behavioral functions at ages at and beyond the median life-span.
Section 2 - THE GENERAL CRITERIA FOR AN ANIMAL MODEL. Keep in mind that the consideration here is for life-extension science and is not for gerontological studies.
Section 2 - THE GENERAL CRITERIA FOR AN ANIMAL MODEL.
Keep in mind that the consideration here is for life-extension science and is not for gerontological studies.
2(a) - The biology of the animal model must be as comparable as possible to human biology. Although cell cultures or invertebrates such as Drosophila or C. elegans may be useful for gerontological studies and may be informative about what life-extension experiments might be attempted, they are inappropriate for a definitive life-extension study, because their biologies are not sufficiently homologous to that of humans. A mammal must be used.
2(b) - The appropriate mammal should be practical in terms of husbandry, costs, and length of life. For example, although monkeys are the animal model which is most similar to human biology, they are difficult to acquire, and entail a great deal of expertise and money to maintain. They live some 40 years, and thus, it would take decades to obtain solid information. Further, they are phenotypically heterogeneous and not inbred, which makes it impossible to have comparable cohorts in different experiments. Consequently, except under very exceptional circumstances and for modalities that are already well developed, monkeys would not be feasible. The mammal should not hibernate nor have other metabolic characteristics which are different from humans and which might be influenced inadvertently by therapeutic agents and thereby cause a life-extension effect. Rodents (either mice or rats) are the most appropriate model.
An appropriate strain of rodent would have to have the following characteristics.
2(c) - The life-span trajectory of growth, maturation, and senescence must be analogous to that of humans. Many rats grow throughout most of their life-span; and consequently, those which do would be inappropriate because any agent which retarded growth would likely have a life-extension effect. Indeed, that is a common artifact in many life-extension experiments. The mouse does not have this characteristic; and that is a more appropriate model.
2(d) - For homogeneity and consistency, the strain of mouse must be a well studied inbred strain or a well studied hybrid, first generation (F1) cross between two well studied inbred strains. This insures experimental consistency among different experiments, by different investigators, asynchronously.
2(e) - The strain must be genetically well characterized, so that it is positioned for more fundamental research into molecular mechanisms of disease and biological vitality.
2(f) - The strain must be a long lived strain, so that it ages.
2(g) - Optimal, ad libitum, survival curves must be well established by multiple investigators.
2(h) - Optimal, calorically restricted, survival curves should be well established by multiple investigators.
2(i) - The causes of mortality and pathologies of the strain should be well known and as analogous as possible to the pathologies of humans, and multiple, so that no one pathology is the dominant cause of death. The following table contains the major causes of morbidity and mortality in humans and can be used as a schematic reference.
2(j) - The particular strain, must be readily available from a certified breeding colony that has accreditation from an organization such as the "Association for Assessment and Accreditation of Laboratory Animal Care." {http://www.aaalac.org}
2(k) - In evidence that the strain ages, there must be a decline in lean body mass in the last quartile of the life-span. Also, to insure homogeneity of the experimental cohort, there should not be a marked difference in body mass within the population.
2(l) - The life-span trajectory should have three stages (growth, maturation, and senescing) and be proportionately comparable to that of humans. See the table below.
2(m) - The following table of criteria serves as a check list of the major relevant factors, as defined above, for selecting a mouse strain for a life-extension study. The answer to each should be "yes".
Section 3 - OTHER CRITERIA FOR THE EXPERIMENTAL PROTOCOL
3(a) - It is the prevailing opinion that no single strain of mouse sufficiently fits all of the above criteria in such a manner as to constitute one definitive model for life-extension experiments. This is the opinion of the investigators surveyed here and is the published opinion for gerontological studies [3a]. Consequently, depending on the resources and interests of a particular investigator, either a sequential or parallel research strategy is required in which different strains of long-lived inbred or their F1 hybrids are used. In terms of such a sequential strategy, an appropriate animal model must be selected for the initial experiment. Depending on the preliminary experimental results, the protocol can be subsequently expanded to other strains. Perhaps, at about the age of 100 weeks, an analysis of the Gompertzian characteristics of the survival curve might indicate that a life-extension effect is being achieved; and therefore, the initiation of parallel experiments is justified by the original investigator or by collaborators. If an investigator is well funded and enthusiastic about a particular line of investigation, an experiment can be initiated in multiple strains simultaneously. Finally, where positive results are gained or discernible within the course of an experiment, an experiment might be conducted with the caloric restriction paradigm; however, there are some important qualification that must be considered in the usage of that paradigm; and they are discussed briefly, below, at 3e.
[3a] Hazzard DG, Bronson RT, McClearn GE, Strong R. Selection of an appropriate animal model to study aging processes with special emphasis on the use of rat strains. J Gerontol 1992 May;47(3):B63-4. MEDLINE: 1573179.
3(b) - In addition to the above criteria for the animal model, an experiment must be initiated at an age after which growth has ceased, so that any life-extension due to growth retardation is not a potential artifact.
3(c) - The number of animals to be used for statistical significance should be no less than 50 and need not exceed 100 per cohort. A good protocol would be 56 males and 56 females. This would mean: a minimum of 200 experimental animals (50 male Experimental Controls, 50 female Experimental Controls, 50 male Experimental Treated, 50 female Experimental Treated)
3(d) - Standard scientific criteria of reproducibility by independent investigators is an obvious component of this or any epistemology.
3(e) - The two experimental paradigms are: 1) ad libitum feeding; and 2) caloric restriction. Here, only the ad libitum paradigm is considered in detail. Although the caloric restriction paradigm is considered the "gold standard" for gerontology and for elucidating ageing parameters, it is problematic for testing life-extension agents. First, life-extension epistemology requires that the experimental animal model be similar to humans; and humans will not voluntarily conform to a caloric restriction regimen. Thus, without an appetite suppressant that is non-toxic and that induces life-extension by caloric restriction in a way that people will use, the caloric restriction paradigm does not have good correspondence to real life. In addition, in animal studies, when caloric restriction is initiated after growth and development has ceased, there is not much of a life-extension effect [3e1].
[3e1] Goodrick CL, Ingram DK, Reynolds MA, Freeman JR, Cider N. Effects of intermittent feeding upon body weight and lifespan in inbred mice: interaction of genotype and age. Mech Ageing Dev 1990 Jul;55(1):69-87. Beginning at either 1.5, 6 or 10 months of age, male mice from the A/J and C57BL/6J strains and their F1 hybrid, B6AF1/J were fed a diet (4.2 kcal/g) either ad libitum every day or in a restricted fashion by ad libitum feeding every other day. Relative to estimates for ad libitum controls, the body weights of the intermittently-fed restricted C57BL/6J and hybrid mice were reduced and median and maximum life span were incremented when the every-other-day regimen was initiated at 1.5 or 6 months of age. When every-other-day feeding was introduced at 10 months of age, again both these genotypes lost body weight relative to controls; however, median life span was not significantly affected although maximum life span was increased. Among A/J mice, intermittent feeding did not reduce body weight relative to ad libitum controls when introduced at 1.5 or 10 months of age; however, this treatment did increase median and maximum life span when begun at 1.5 months, while it decreased median and maximum life span when begun at 10 months. When restricted feeding was introduced to this genotype at 6 months of age, body weight reduction compared to control values was apparent at some ages, but the treatment had no significant effects on median or maximum life span. These results illustrate that the effects of particular regimens of dietary restriction on body weight and life span are greatly dependent upon the genotype and age of initiation. Moreover, when examining the relationship of body weight to life span both between and within the various groups, it was clear that the complexity of this relationship made it difficult to predict that lower body weight would induce life span increment. MEDLINE: 2402168
Consequently, if the experiment must be initiated after development (as it must to avoid the artifact of the retardation of growth, as stipulated in 1(f) above), then caloric restriction would have to be initiated after the cessation of growth, which would have only a minimal life-extension effect. Therefore, in terms of life-extension science in animal models, it would seem that the caloric restriction paradigm would have little, if any, greater scientific merit than the ad libitum paradigm, which is much better studied and easier to perform.
Section 4 - RECOMMENDED HUSBANDRY PROCEDURES. The objective of proper husbandry procedures is to insure that an investigator's Controls are comparable to optimal Reference Controls for the particular strain of animal - thus, avoiding the confounding artifact of comparing Treated animals against an inadequate reference.
Section 4 - RECOMMENDED HUSBANDRY PROCEDURES.
The objective of proper husbandry procedures is to insure that an investigator's Controls are comparable to optimal Reference Controls for the particular strain of animal - thus, avoiding the confounding artifact of comparing Treated animals against an inadequate reference.
In general, a fairly wide range of husbandry conditions yield similar life-span results. Different frequency of cage changes (7, 14, and 21 days) and different cage ventilation rates (30, 60 and 100 air changes per hour) have not shown any differences in health status [4-1].
[4-1] Reeb-Whitaker CK, Paigen B, Beamer WG, Bronson RT, Churchill GA, Schweitzer IB, Myers DD. The impact of reduced frequency of cage changes on the health of mice housed in ventilated cages. Lab Anim 2001 Jan;35(1):58-73. MEDLINE ID: 11201289.
And fairly dirty, unsanitary conditions had no significant effect on the life-span - (4-2)
[4-2] Chino F, Makinodan T, Lever WE, Peterson WJ. The immune systems of mice reared in clean and in dirty conventional laboratory farms. I. Life expectancy and pathology of mice with long life-spans. J Gerontol 1971 Oct;26(4):497-507. PubMedID: 4329048.
Finally, animals raised in completely germ free conditions do not show a significant improvement in survival curves. Early reports did show an improved life-span from germ free husbandry [4-3], [4-4], [4-5], [4-6].
[4-3] Gordon HA, Bruckner-Kardoss E, Wostmann BS. Aging in germ-free mice: life tables and lesions observed at natural death. J Gerontol 1966 Jul;21(3):380-7. MEDLINE 5944800. [4-4] Pollard M. Senescence in germfree rats. Gerontologia 1971;17(5):333-8. MEDLINE 4948858. [4-5] Pollard M. Spontaneous prostate adenocarcinomas in aged germfree Wistar rats. J Natl Cancer Inst 1973 Oct;51(4):1235-41. MEDLINE 4745857.
[4-3] Gordon HA, Bruckner-Kardoss E, Wostmann BS. Aging in germ-free mice: life tables and lesions observed at natural death. J Gerontol 1966 Jul;21(3):380-7. MEDLINE 5944800.
[4-4] Pollard M. Senescence in germfree rats. Gerontologia 1971;17(5):333-8. MEDLINE 4948858.
[4-5] Pollard M. Spontaneous prostate adenocarcinomas in aged germfree Wistar rats. J Natl Cancer Inst 1973 Oct;51(4):1235-41. MEDLINE 4745857.
However, those findings were contravened by later studies showing that germ-free animals had a lower caloric intake with that being the likely cause of extended life-span. "The reduced early food intake and smaller body weight of adult (germ-free) GF rats may be the reason ad libitum fed GF rats live slightly longer than their (conventional) CV counterparts, but GF life was without additional effect on life span when food intake was restricted." [4-6]. This is a prime example of the artifact of caloric restriction even from an unusual source such as germ free environment.
[4-6] Snyder DL, Pollard M, Wostmann BS, Luckert P. Life span, morphology, and pathology of diet-restricted germ-free and conventional Lobund-Wistar rats. J Gerontol 1990 Mar;45(2):B52-8. MEDLINE 2313040
yes no no-response. Comments:
4(a) - Animals should be housed 1 per cage.
This will avoid various confounding factors, such as: territorial fights that cause lesions and, sometimes, death; and over-grooming dominance which can cause lesions. Infection transmission is mitigated. Animal identification is certain and makes unnecessary tatooing (which can scarified or be nibbled off) or ear notching (which can be obliterated by fighting when animals are housed together) or electronic identification implants (which are expensive). Finally, in cages with multiple animals and as each animal dies, the space per animal changes and that can cause a stress variable that may impact on the relatively mortality rates within the cohort. In single caging, minimum cage floor size is 180 cm2 with cage height of 12 cm.
4(b) - Water should be changed weekly.
4(c) - Change bedding at least every 14 days and, weekly if housing two to four mice per cage.
4(d) - Temperature. If housed singly, 25 degrees Centigrade or 77 degrees Fahrenheit. If housed multiply, 20-24 degrees Centigrade or 68-75 Fahrenheit.
4(e) - Humidity - 50-60%
4(f) - Ventilation or air changes - 15-20 per hour.
4(g) - Light/dark cycle 12/12 hours.
4(h) - Protect personnel from allergens and animals from infection by using masks and gloves.
4(i) - Clean and sterilize cages, bottles, drinking tubes, and feeders. Autoclaving is preferrable; however, this can be done without elaborate equipment by having a dual set of cages, bottles, tubes, and feeders, which are cleaned with soap and left to soak in highly chlorinated solution between cage changes.
4(j) - If lack of capital and smaller facilities require a greater density than 1 animal per cage, then house males and females separately and no more than four per cage. Change bedding, cages, and accouterments weekly.
4(k) - Watch for leaking water tubes which can be caused either by a mis-fit with the ball baring insert or by animals stuffing bedding in the tube.
4(l) - As a general reference, use the guidelines in Principles of Laboratory Animal Science. Van Zutphen LF, Baumans V, & Beynen AC [Eds.] Elsevier 2001.
5 - REPORTING OF THE EXPERIMENTAL DATA. A uniform format for reporting the experimental data would greatly facilitate the understanding of procedures and results by other investigators.
5 - REPORTING OF THE EXPERIMENTAL DATA.
A uniform format for reporting the experimental data would greatly facilitate the understanding of procedures and results by other investigators.
5(a) - Report the survival curves as represented in section 2, above, plotting Controls and Treated against a range of optimal Reference Controls. Also, report body weights and food consumption.
5(b) - Chronology. Unless otherwise necessary, use weeks for the chronology of percent surviving, the recording of body weights, food consumption, pathologies, and incidence of other events.
5(c) - Units of weight. Use grams for units of weight; and, if recording energy, use calories rather than joules.
Section 6 - OTHER CONSIDERATIONS THAT YOU MAY CONSIDER IMPORTANT? Comments:
7 - BASED ON THE CRITERIA ESTABLISHED IN SECTION 2, THE C57BL/6j MOUSE IS A VALID ANIMAL MODEL
The lineage of this mouse dates as follows. From Chinese through Japanese and English "fanciers", this and almost all inbred strains of mice used in experimental science today were developed between 1903-1915 at Abbie Lathrop's mouse farm in Granby, Maryland. One was labeled "C57". Through Clarence Little, a "Black" sub-line was developed between 1921 and 1937. From that, another sub-line called "6" was developed at Jackson Laboratory in 1947 - thus becoming named as C57BL/6j (http://www.jax.org/). The strain was incorporated into the breeding colonies of various institutions. In 1951, the National Institutes of Health (HIH) bred this mouse as C57Bl/6N. It was bred by the National Institute of Aging via the NIH as C57Bl/6NNia. In 1974, NIH contracted breeding with the commercial vendor, Charles River Laboratories as C57BL/6Cr (http://www.criver.com/) and subsequently the NIH line became maintained by Simonsen Laboratories, Inc. as C57BL/6N Sim (http://www.simlab.com/). It is assumed that all lines have virtually identical survival and pathological criteria. [7-1] [7-2] [7-3] [7-4]
[7-1] Heston WE. Development of inbred strains in the mouse and their use in cancer research, p.9-13. In: Lectures on genetics, cancer, growth and social behavior. Roscoe B. Jackson Memorial Laboratory, Bar Harbor, Maine, 1949. [7-2] Biology of the Laboratory Mouse. EL Green (Ed.) McGraw-Hill Book Co. 1966, pg.1-8. [7-3] The Mouse in Biomedical Research. Foster HL, Small JD, Fox JG (Editors). Academic Press, 1981, pg. 7. [7-4] Malakoff D. The Rise of the Mouse, Biomedicine's Model Mammal. Science Apr 14 2000: 248-253. MEDLINE 10777401 yes no no-response. Comments:
[7-1] Heston WE. Development of inbred strains in the mouse and their use in cancer research, p.9-13. In: Lectures on genetics, cancer, growth and social behavior. Roscoe B. Jackson Memorial Laboratory, Bar Harbor, Maine, 1949.
[7-2] Biology of the Laboratory Mouse. EL Green (Ed.) McGraw-Hill Book Co. 1966, pg.1-8.
[7-3] The Mouse in Biomedical Research. Foster HL, Small JD, Fox JG (Editors). Academic Press, 1981, pg. 7.
[7-4] Malakoff D. The Rise of the Mouse, Biomedicine's Model Mammal. Science Apr 14 2000: 248-253. MEDLINE 10777401
7(a) - Given the criteria in Section 2(m), the C57BL/6j mouse fits the essential criteria for a life-extension study
7(b) - As stipulated in Section 2(l), the C57BL/6j mouse has a life-span trajectory sufficiently similar to humans.
7(c) - As stipulated in Section 2(i), the C57BL/6j mouse has pathologies that are analogous to those of humans. (Note. This needs a lot more work.)
(See also: Bronson RT. Rate of Occurrence of Lesions in 20 Inbred and Hybrid Genotypes of Rats and Mice Sacrificed at 6 Month Intervals During the First Years of Life. Ch. 17. In: Genetic Effects on Aging II, by David Harrison. Telford Press, 1990)
7(d) - The C57BL/6j mouse is well characterized and studied. In the U.S., 61% of the mice used for ageing studies were C57BL/6 [7d1]. See also the MEDLINE searches below.
[7d1] Sprott RL & Ramirez I. Current Inbred and Hybrid Rat and Mouse Models. ILAR Journal, 1997 vol.38 no.3, pg 104-108.
7(e) - Male & Female Reference Survival Curves, Body weights, and Food Consumption.
Between 1948 to 1956, the median life-span of this strain was 522 days for males and 581 days for females. After 1960, it increased to 878 days for males and 794 days for females. [7e1] [7e2] The major shift occurred around 1960. While a "genetic drift" may have been a factor, most-likely improved husbandry and diet more suitable to the genotype (possibly a higher fat content) was the major reason.
[7e1] Russel ES. Lifespan and Aging Patterns. pg. 511-519. In: Biology of the Laboratory Mouse. Green EL (Ed.), McGraw-Hill Book Company. 1966. [7e2] Kunstyr I, Leuenberger HG. Gerontological data of C57BL/6J mice. I. Sex differences in survival curves. J Gerontol 1975 Mar;30(2):157-62. A group of 1,052 C57BL/6J mice (296 males and 756 females) was kept under well-defined, clean laboratory conditions from the age of 6 weeks until natural death. The survival curves of males and females (computer-produced 3, 4, and 5 parameter curves, Gompertz curve histogram) were established and shown to follow a logistic function. The average life-span amounted to 878 plus or minus 10 days for males and 794 plus or minus 6 days for females. These values distinctly exceed comparable values given in the literature. They are attributed to favorable conditions of animal care and to supposed alterations in genetic background. A genetic drift in sex-dependent median survival time occurred in the genetically unstable C57BL/6J strain between 1966 and 1970. Before this drift, the males died sooner; after it, they lived longer. MEDLINE: 1123533
[7e1] Russel ES. Lifespan and Aging Patterns. pg. 511-519. In: Biology of the Laboratory Mouse. Green EL (Ed.), McGraw-Hill Book Company. 1966.
[7e2] Kunstyr I, Leuenberger HG. Gerontological data of C57BL/6J mice. I. Sex differences in survival curves. J Gerontol 1975 Mar;30(2):157-62. A group of 1,052 C57BL/6J mice (296 males and 756 females) was kept under well-defined, clean laboratory conditions from the age of 6 weeks until natural death. The survival curves of males and females (computer-produced 3, 4, and 5 parameter curves, Gompertz curve histogram) were established and shown to follow a logistic function. The average life-span amounted to 878 plus or minus 10 days for males and 794 plus or minus 6 days for females. These values distinctly exceed comparable values given in the literature. They are attributed to favorable conditions of animal care and to supposed alterations in genetic background. A genetic drift in sex-dependent median survival time occurred in the genetically unstable C57BL/6J strain between 1966 and 1970. Before this drift, the males died sooner; after it, they lived longer. MEDLINE: 1123533
Note: the charts which follow have been drawn from the studies which are referenced.
References - Males - Life-spans Adams DD, Lucas WO, Williams BG, Berkeley BB, Turner KW, Schofield JC. A mouse genetic locus with death clock and life clock features; Mech Ageing Dev 2001 Feb;122(2):173-189; ID:11166357 Economos AC, Miquel J. Usefulness of stochastic analysis of body weight as a tool in experimental aging research. Exp Aging Res 1980 Oct;6(5):417-30. ID:7227409 Goodrick CL, Ingram DK, Reynolds MA, Freeman JR, Cider N. Effects of intermittent feeding upon body weight and lifespan in inbred mice: interaction of genotype and age. Mech Ageing Dev 1990 Jul;55(1):69-87. ID:2402168 Archer J. Ab libitum survival curve for C57Bl/6j female mice - Jackson Labs 1979-80. unpublished, received from John Archer on r October 5, 2001. JacksonLabs-Male.pdf Konen TG, Smith GS, Walford RL. Decline in mixed lymphocyte reactivity of spleen cells from aged mice of a long-lived strain. J Immunol 1973. May;110(5):1216-21. ID:4348973 Kunstyr I, Leuenberger HG. Gerontological data of C57BL/6J mice. I. Sex differences in survival curves. J Gerontol 1975 Mar;30(2):157-62. ID:1123533 Massie HR, Aiello VR. Excessive intake of copper: influence on longevity and cadmium accumulation in mice. Mech Ageing Dev 1984 Aug;26(2-3):195-203. ID:6482518 Sohal RS, Ku HH, Agarwal S, Forster MJ, Lal H. Oxidative damage, mitochondrial oxidant generation and antioxidant defenses during aging and in response to food restriction in the mouse. Mech Ageing Dev 1994 May;74(1-2):121-33. ID:7934203 Turturro A, Witt WW, Lewis S, Hass BS, Lipman RD, Hart RW. Growth curves and survival characteristics of the animals used in the Biomarkers of Aging Program. J Gerontol A Biol Sci Med Sci 1999 Nov;54(11):B492-501. ID:10619312 Weindruch R, Walford RL. Dietary restriction in mice beginning at 1 year of age: effect on life-span and spontaneous cancer incidence. Science 1982 Mar 12;215(4538):1415-8. ID:7063854
References - Males - Life-spans
Adams DD, Lucas WO, Williams BG, Berkeley BB, Turner KW, Schofield JC. A mouse genetic locus with death clock and life clock features; Mech Ageing Dev 2001 Feb;122(2):173-189; ID:11166357
Economos AC, Miquel J. Usefulness of stochastic analysis of body weight as a tool in experimental aging research. Exp Aging Res 1980 Oct;6(5):417-30. ID:7227409
Goodrick CL, Ingram DK, Reynolds MA, Freeman JR, Cider N. Effects of intermittent feeding upon body weight and lifespan in inbred mice: interaction of genotype and age. Mech Ageing Dev 1990 Jul;55(1):69-87. ID:2402168
Archer J. Ab libitum survival curve for C57Bl/6j female mice - Jackson Labs 1979-80. unpublished, received from John Archer on r October 5, 2001. JacksonLabs-Male.pdf
Konen TG, Smith GS, Walford RL. Decline in mixed lymphocyte reactivity of spleen cells from aged mice of a long-lived strain. J Immunol 1973. May;110(5):1216-21. ID:4348973
Kunstyr I, Leuenberger HG. Gerontological data of C57BL/6J mice. I. Sex differences in survival curves. J Gerontol 1975 Mar;30(2):157-62. ID:1123533
Massie HR, Aiello VR. Excessive intake of copper: influence on longevity and cadmium accumulation in mice. Mech Ageing Dev 1984 Aug;26(2-3):195-203. ID:6482518
Sohal RS, Ku HH, Agarwal S, Forster MJ, Lal H. Oxidative damage, mitochondrial oxidant generation and antioxidant defenses during aging and in response to food restriction in the mouse. Mech Ageing Dev 1994 May;74(1-2):121-33. ID:7934203
Turturro A, Witt WW, Lewis S, Hass BS, Lipman RD, Hart RW. Growth curves and survival characteristics of the animals used in the Biomarkers of Aging Program. J Gerontol A Biol Sci Med Sci 1999 Nov;54(11):B492-501. ID:10619312 Weindruch R, Walford RL. Dietary restriction in mice beginning at 1 year of age: effect on life-span and spontaneous cancer incidence. Science 1982 Mar 12;215(4538):1415-8. ID:7063854
Reference - Males - Food Consumption Turturro A, Witt WW, Lewis S, Hass BS, Lipman RD, Hart RW. Growth curves and survival characteristics of the animals used in the Biomarkers of Aging Program. J Gerontol A Biol Sci Med Sci 1999 Nov;54(11):B492-501. ID:10619312
Reference - Males - Food Consumption
Turturro A, Witt WW, Lewis S, Hass BS, Lipman RD, Hart RW. Growth curves and survival characteristics of the animals used in the Biomarkers of Aging Program. J Gerontol A Biol Sci Med Sci 1999 Nov;54(11):B492-501. ID:10619312
References - Males - Body Weights Economos AC, Miquel J. Usefulness of stochastic analysis of body weight as a tool in experimental aging research. Exp Aging Res 1980 Oct;6(5):417-30. ID:7227409 Goodrick CL, Ingram DK, Reynolds MA, Freeman JR, Cider N. Effects of intermittent feeding upon body weight and lifespan in inbred mice: interaction of genotype and age. Mech Ageing Dev 1990 Jul;55(1):69-87. ID:2402168 Massie HR, Aiello VR. Excessive intake of copper: influence on longevity and cadmium accumulation in mice. Mech Ageing Dev 1984 Aug;26(2-3):195-203. ID:6482518. Sohal RS, Ku HH, Agarwal S, Forster MJ, Lal H. Oxidative damage, mitochondrial oxidant generation and antioxidant defenses during aging and in response to food restriction in the mouse. Mech Ageing Dev 1994 May;74(1-2):121-33. ID:7934203 Turturro A, Witt WW, Lewis S, Hass BS, Lipman RD, Hart RW. Growth curves and survival characteristics of the animals used in the Biomarkers of Aging Program. J Gerontol A Biol Sci Med Sci 1999 Nov;54(11):B492-501. ID:10619312 Weindruch R, Walford RL. Dietary restriction in mice beginning at 1 year of age: effect on life-span and spontaneous cancer incidence. Science 1982 Mar 12;215(4538):1415-8. ID:7063854
References - Males - Body Weights
Massie HR, Aiello VR. Excessive intake of copper: influence on longevity and cadmium accumulation in mice. Mech Ageing Dev 1984 Aug;26(2-3):195-203. ID:6482518.
Weindruch R, Walford RL. Dietary restriction in mice beginning at 1 year of age: effect on life-span and spontaneous cancer incidence. Science 1982 Mar 12;215(4538):1415-8. ID:7063854
References - Females - Life-span Archer J. Ab libitum survival curve for C57Bl/6j female mice - Jackson Labs 1979-80. unpublished, received from John Archer on October 5, 2001. JacksonLabs-Female.pdf Everone CA. Ab libitum survival curve for C57Bl/6j female mice in small, non-institutional colony, 1987. Everone-1987.pdf Kohn RR. Effect of antioxidants on life-span of C57BL mice. J Gerontol 1971 Jul;26(3):378-80. ID:5124518 Kunstyr I, Leuenberger HG. Gerontological data of C57BL/6J mice. I. Sex differences in survival curves. J Gerontol 1975 Mar;30(2):157-62. ID:1123533 Srivastava VK, Tilley RD, Miller S, Hart R, Busbee D. Effects of aging and dietary restriction on DNA polymerase expression in mice. Exp Gerontol 1991;26(1):97-112. ID:2055287 Turturro A, Witt WW, Lewis S, Hass BS, Lipman RD, Hart RW. Growth curves and survival characteristics of the animals used in the Biomarkers of Aging Program. J Gerontol A Biol Sci Med Sci 1999 Nov;54(11):B492-501. ID:10619312
References - Females - Life-span
Archer J. Ab libitum survival curve for C57Bl/6j female mice - Jackson Labs 1979-80. unpublished, received from John Archer on October 5, 2001. JacksonLabs-Female.pdf
Everone CA. Ab libitum survival curve for C57Bl/6j female mice in small, non-institutional colony, 1987. Everone-1987.pdf
Kohn RR. Effect of antioxidants on life-span of C57BL mice. J Gerontol 1971 Jul;26(3):378-80. ID:5124518 Kunstyr I, Leuenberger HG. Gerontological data of C57BL/6J mice. I. Sex differences in survival curves. J Gerontol 1975 Mar;30(2):157-62. ID:1123533
Srivastava VK, Tilley RD, Miller S, Hart R, Busbee D. Effects of aging and dietary restriction on DNA polymerase expression in mice. Exp Gerontol 1991;26(1):97-112. ID:2055287
References - Females- Food Consumption Turturro A, Witt WW, Lewis S, Hass BS, Lipman RD, Hart RW. Growth curves and survival characteristics of the animals used in the Biomarkers of Aging Program. J Gerontol A Biol Sci Med Sci 1999 Nov;54(11):B492-501. ID:10619312
References - Females- Food Consumption
References - Females - Body Weights Economos AC, Miquel J. Usefulness of stochastic analysis of body weight as a tool in experimental aging research. Exp Aging Res 1980 Oct;6(5):417-30. ID:7227409 Kohn RR. Effect of antioxidants on life-span of C57BL mice. J Gerontol 1971 Jul;26(3):378-80. ID:5124518 Turturro A, Witt WW, Lewis S, Hass BS, Lipman RD, Hart RW. Growth curves and survival characteristics of the animals used in the Biomarkers of Aging Program. J Gerontol A Biol Sci Med Sci 1999 Nov;54(11):B492-501. ID:10619312
References - Females - Body Weights
Kohn RR. Effect of antioxidants on life-span of C57BL mice. J Gerontol 1971 Jul;26(3):378-80. ID:5124518
Section 8 - OTHER ANIMAL MODELS.
A similar profile of essential criteria needs to be done for all commonly used inbred and F1 hybrid long-lived strains of mice and also for F344 and other rats that are used in life-extension studies.
Section 9 - SOME PRECEPTS. This is not an orderly exposition. Instead, it is just a cluster of notes that seem relevant to the topic at hand.
Section 9 - SOME PRECEPTS.
This is not an orderly exposition. Instead, it is just a cluster of notes that seem relevant to the topic at hand.
9(a) - The term "epistemology", as used here, means a set of definitions and criteria which circumscribe valid knowledge within a particular science. ("Epistemic" would perhaps be a better term but it is less familiar.) The consideration here is with life-extension science as it pertains to animal research. The central issue can be stated as follows: if a modality is tested in experimental animals for its effects on life-extension and control of ageing, then what criteria make such an experiment valid? Again, the focus here is only on the formulation of an epistemology for life-extension experiments in an animal model. There is a different epistemology for life-extension experiments in humans; and that is only briefly explained below.
9(b) - In general terms, "life-extension science" is engaged in the development of modalities which extend the human life-span. In more objective terms, life-extension science is about the enhancement of biological vitality, the effect of which would be to extend life-expectancy. Refining this further, although life-extension science may include modalities which prevent, manage, or cure disease or support health and thereby increase average life-expectancy, the primary target of life-extension science is that cluster of degenerative processes which come under the category of biological ageing, the successful treatment of which would enable survival beyond the natural, maximum life-span. The definition of life-extension science can entail many nuances because it is not a thing or a condition. Rather it is a potential that is inherent in a condition. It is stochastic and based on objective conjecture - i.e., given certain intrinsic conditions and baring certain extrinsic factors, life-expectancy will be prolonged.
9(c) - The prevailing public health and medical paradigms focus on the common causes of death (i.e., heart attack, stroke, cancer, diabetes, infections, accidents, etc.). However, even if measures were invented that either cured or prevented all such causes of mortality, that would only increase the median life-expectancy by about 12 years and would do nothing to increase the maximum life-span, which would remain unchanged at about 100. With such "perfect" medicine, virtually everyone would live out to the natural, maximum potential of human genetics. But, ironically, that would result in both a personal and social catastrophe because, then, everyone would survive into advanced senility and end-up spending a decade or more in the geriatric ward. Indeed, that is the direction things are presently headed. However, if ageing were cured, then health would remain optimal; the probability of disease would be minimal; if disease did occur, then treatment would be effective and recovery, rapid; and the potential, maximum life-span would be open-ended. Thus, in every respect (i.e., life-extension, disease prevention, and clinical medicine), the control of ageing is the conditio sine qua non, upon which all things depend and without which only marginal benefits can be derived. That is a dramatic, but simple fact, which goes completely ignored by the general consciousness and professional attention. Because the existing paradigms are inadequate, life-extension science via the control of ageing is, a fortiori, the future of health and medicine.
9(d) - "Gerontology" is about the study of the ageing processes; and "life-extension science" is about those modalities which increase life-expectancy. Gerontology is mostly analytic and descriptive; and life-extension science is mostly prescriptive and practical. The two disciplines are distinct but not separate; and they inform each other. Gerontological studies of the ageing process suggest therapeutic approaches to be tested in life-extension studies; and the results of such life-extension studies inform gerontology about mechanisms which may or may not warrant aggressive research. Indeed, empirical life-extension would be the ultimate proof-of-principle for the validity of gerontological theories; and this is evidenced by the fact that it is the technique of caloric restriction, which was discovered empirically to extend maximum life-span in animals, has set the dominant paradigm for modern gerontological studies. The mechanisms by which caloric restriction works are still not understood even though the life-extension effects are certain.
9(e) - Like any medical therapy, a life-extension modality will ultimately count in and be validated by its beneficial effects in a particular, individual, human being. However, the role of the animal experiment is much more central in life-extension science than in conventional medical science. Usually, in medical therapies, human pathology suggests a therapeutic approach, and animal models are used in phase I studies to work out surgical techniques or elucidate the pharmacological kinetics and to evaluate adverse effects before going into application on small human cohorts where the proof-of-principal is mostly studied. From there, an effective modality (measured in statistical significance) is advanced to trials on larger cohorts of human and finally into application on individual humans in clinical practice where it either works or does not work. In contrast, in the invention of life-extension therapies, mechanisms of degeneration in gerontological studies in animals are more likely to suggest degenerative processes in humans; and proof-of-principle for the therapeutic modalities will be demonstrated first in animals. Further, if life-extension were to be obtained in the animal experiments, it is likely that the intermediate human cohort studies would be by-passed, and administration would begin in individuals, validating efficacy in the process of clinical application. This is justified on the basis of both practicality and safety. In terms of practicality, intermediate human cohort studies would be completely unfeasible because the amount of time which it would take to test a life-extension agent in a human cohort would be decades and there would be a requirement of thousands of participants in order to demonstrate statistical significance. In terms of ethics, something which caused life-extension in animals is almost certainly non-toxic and without significant adverse effects. Several examples elucidate this point. Caloric restriction which clearly causes life-extension in animal models is being recommended for individual human application without doing first any clinical trails in humans. The drug, selegiline, which is licensed for certain medical usage, was investigated for its life-extension effects in animals. Life-extension was reported as well as enhanced reproductive activity, as a bio-marker; and based on that physicians began prescribing it and individuals began taking it for life-extension and vitality. Unfortunately, the original design of the animal experiments for selegiline were flawed (something which would have been avoided if the epistemology herein had been employed); and other investigators had to redo the animal studies, demonstrating the drug's lack of efficacy. Another case would be human growth hormone (HGH), which, in a small study in humans over short period of time, was reported to improve certain parameters of ageing (i.e., bone density, lean body mass, and skin thickness); and from that little evidence, physicians have begun prescribing and individuals taking HGH for an anti-ageing effect. Human growth hormone has not been subjected to proper a life-span study in animals, so it is unclear what, if any, effect it might have. Proper animal studies would have saved a lot of time, effort, money, and credibility.
9(f) - If we take McCay's animal experiment in 1935 as the beginning of scientific life-extension, then this discipline has a history of some 70 years. During this time, proper methods have been developed to yield valid experiments and various artifacts have been well identified. These artifacts include the following: a) an improper animal model is used; b) the survival curve of the control animals is sub-optimal due to deficient husbandry such that, if a therapeutic agent mitigates some of those deficiencies, then it appears that life-extension is achieved, but in fact the survival curve has just been normalized; and c) food consumption and body weights of the animals are not measured, such that treated animals may be calorically restricted, with that being the cause of the life-extension rather than the experimental agent. These experimental conditions have been identified for decades by many investigators; however, they have been ignored in most of the animals studies in the literature (except those involving caloric restriction) and continue to be disregarded even in the design of contemporary studies, with the result being that the literature is and will continue to be replete with mis-information.
9(g) - There is sufficient knowledge about what constitutes a valid life-extension experiment in animals such that a solid (albeit provisional) epistemology can be defined, the framework for which is the purpose of this present effort. It needs to be stated that this epistemology will evolve as the science improves and becomes more certain. A time can be foreseen when the bio-markers of vitality and ageing are so well know in humans and bio-informatic databases for simulation so well developed for toxicology and mechanisms of action that animal experiments may become sub-ordinate or irrelevant; but that will be some time in the more distant future. By adopting and promulgating a basic epistemology for life-extension science, the design of initial research by investigators and the evaluation of that research can be facilitated in both life-extension science and in gerontology. Further, with the completion and success of the Human Genome Project, the initiation of the next big program in molecular biology (Proteomics), and the continued surge in bio-technology enterprise, virtually every scientific discipline is getting into biology. And because, as previously noted, the disease-cure approach to medicine is, in effect, a cul-de-sac, there will be nowhere to go other than life-extension and control of ageing. Many of these new investigators will not be familiar with the well established artifacts in this science; and hopefully by using the guideline of a proper epistemology for animal experiments this "land-rush" into the field can be channeled into productive areas rather than further complicate the subject by more mis-information.
The epistemology for life-extension experiments in animals is different from the epistemology for life-extension experiments in humans. Human life-extension science would entail: 1) the determination of individual, human, biological parameters which functionally correspond to vitality, longevity, and disease and ageing; 2) the ability to test those parameters in a clinical environment in a particular individual and to show modification toward optimum values over short durations of time; and 3) therapies which restored those parameters back to optimum values. Beyond this general sketch there will not be here an exposition of an epistemology for life-extension science in humans.