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Record W2164815751 · doi:10.1093/ilar.41.2.99

Humane Endpoints for Infectious Disease Animal Models

2000· review· en· W2164815751 on OpenAlexaffabout
Ernest D. Olfert, Dale L. Godson

Bibliographic record

VenueILAR Journal · 2000
Typereview
Languageen
FieldVeterinary
TopicAnimal testing and alternatives
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsInfectious disease (medical specialty)Animal testingDiseaseMedicineIntensive care medicineClinical trialDistressVeterinary medicinePathologyBiology

Abstract

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Ernest D. Olfert, D.V.M., M.Sc, is Director of the Animal Resources Centre, and Dale L. Godson, D.V.M., Ph.D., is Research Scientist of the Veterinary Infectious Diseases Organisation, at the University of Saskatchewan, Saskatoon, Saskatchewan, Canada. Ernest D. Olfert, D.V.M., M.Sc, is Director of the Animal Resources Centre, and Dale L. Godson, D.V.M., Ph.D., is Research Scientist of the Veterinary Infectious Diseases Organisation, at the University of Saskatchewan, Saskatoon, Saskatchewan, Canada. The obligation to minimize or eliminate unnecessary pain and distress animals may experience when they are used in biomedical research, teaching, and testing is clearly stated in the Canadian Council on Animal Care guidelines on choosing an appropriate endpoint in experiments using animals for research, teaching, and testing: “In experiments involving animals, any actual or potential pain, distress, or discomfort should be minimized or alleviated by choosing the earliest endpoint that is compatible with the scientific objectives of the research. Selection of this endpoint should involve consultation with the laboratory animal veterinarian and the animal care committee” ( CCAC 1998 , p. 2). Additional guidance is provided for animals used in infectious disease studies, as follows: “For all infectious disease research, including virulence tests in animal models, endpoints should be established that minimize the potential for pain and/or distress in the animals“ ( CCAC 1998 , p. 15). Since the work of pioneers such as Jenner and Pasteur ( Fenner et al. 1997 ) more than a century ago, animal models have provided essential information in the study of infectious diseases. Although much experimentation can now be accomplished with in vitro systems, animals continue to be necessary for this field for studying the process of inflammation, specific infectious diseases, and pharmacologic treatment of infectious diseases; vaccine development and efficacy and safety testing; virulence testing; and, for diagnostic purposes, in both human and veterinary medicine. The use of whole animal models, both natural and induced (including transgenic models), is considered important to the understanding of the very complex temporal relationships that occur in infectious disease involving the body, its neuroendocrine and immune systems, and the infectious organism. Animals used in infectious disease research may experience significant pain and/or distress as part of the disease process. Seeking earlier, more humane endpoints can result in significant reductions in the potential pain and distress experienced by these animals. However, the use of earlier endpoints give rise to a valid scientific concern—An earlier endpoint should accurately predict the outcome of the experiment. The earlier endpoints should be based on scientifically valid values of variables, not just honest judgments based on an appreciation of the distress and pain the animal may be experiencing. For example, animals becoming sick in an infection challenge/antibiotic efficacy trial might be euthanized for humane reasons when in fact they could have survived the challenge, proving that a (new) antibiotic was an effective treatment. One earlier endpoint that has been validated for several infectious agents involves the use of decreased body temperatures as a predictor of impending death, which is discussed further below. Biochemical changes that occur in response to infection are being investigated for their potential to serve as earlier, more humane endpoints in infectious disease studies. Research during the past decade has revealed a great deal about how the body responds to infection. Infectious organisms invading the body stimulate the immune system into rapid action, initiating (up-regulating) a complex array or cascade of activities that include biochemical, endocrinologic, physiologic, behavioral, and pathologic changes. This activation of immune system-mediated defense mechanisms is called the acute phase response. An overview of the acute phase response is presented in Figure 1 . Such work is now providing clues to measurements that can be used to set earlier, more humane endpoints, before the animal's welfare is seriously compromised by the infectious or inflammatory process being studied. Overview of the acute phase response. Many of the biochemical and endocrinologic changes that occur early in the process of the response to infection have been measured. Increases in serum levels of cytokines and acute phase proteins (APPs 1 ) occur early, before severe behavioral and physiologic changes. These biochemical changes can serve as indicators of the presence of infectious disease and as predictors of both the severity and the outcome of infectious disease. This approach has been used for other reasons in human medicine and veterinary medicine, and it appears to have application in selecting earlier, more humane endpoints in infectious disease animal models. We propose that measuring some of the species-typical major APPs can provide objective scientific information on the course of the disease (and possible outcome) on which an earlier endpoint can be based. We discuss below the use of physiologic responses to APPs and cytokines (e.g., body temperature and weight changes) as earlier, more humane endpoints, how monitoring the acute inflammatory response can be used to better assess disease severity, and how values of various variables of the response can be used to define earlier, more humane endpoints. The initial bodily response to foreign agents (e.g., bacteria, fungi, parasites, viruses) is usually local—at the site of infection—and involves neutrophils, macrophages, and other immune cells. The response includes the release of small proteins known as cytokines from macrophages and other neutrophils. Cytokines form a group of secreted regulatory proteins that orchestrate the development and regulation of the immune response. They act as intercellular messengers to coordinate cellular responses throughout the body as the immune system responds to infection ( Godson et al. 1995, 1997 ; Gregory 1998 ; Schijns and Horzinek 1997 ; van Deuren et al. 1992 ). The cytokines interleukin-1, interleukin-6, and tumor necrosis factor have been studied the most extensively. Cytokines produce a number of rapidly occurring systemic effects if the infection becomes generalized or prolonged ( Gregory 1998 ; Schijns and Horzinek 1997 ; van Deuren et al. 1992 ). In liver hepatocytes, the cytokines upregulate production and release of a group of proteins known as acute phase proteins ( Figure 1 ). In the brain and nervous system, the cytokines act to produce fever (probably through the prostaglandin system, changing the body temperature set point), lethargy/sleep, inappetence ( Gregory 1998 ; Schijns and Horzinek 1997 ; van Deuren et al. 1992 ), and hyperalgesia (increased sensitivity to pain) ( Dray 1995 ). The behavioral effects produced by the cytokines acting in the brain (lethargy, sleep, inappetence/anorexia) have been termed “sickness behaviour” ( Gregory 1998 ). As the infectious disease state progresses, there is increasing deviation from normal physiologic and behavioral states that may involve increasing pain and distress. These deviations from normal are evaluated through observations/checklists in an effort to establish endpoints that are predictive of the eventual experimental outcome. The experiment may then be terminated when the deviation from normal (behavior and physiology) exceeds a preset point (the endpoint). The use of immunologically deficient or genetically modified rodents in infectious disease research presents additional problems. First, the signs of disease may be altered from the “normal” rodent. Preliminary or pilot studies will help define which observations need to be made to determine the endpoint. Second, the isolator housing necessary to maintain immunocompromised rodents makes it more difficult to observe them thoroughly and frequently. In these circumstances, implanted telemetry technology may enhance the ability to perform frequent observations without stressing the animals or subjecting them to increased risk of contamination. Changes in body temperature are a common occurrence in infectious disease studies and can be used as an earlier, more humane endpoint than death or moribund condition. The initial body temperature response to infection is fever, or hyperthermia. The fever stage may be transient, however, particularly in small animal (rodent) infectious disease models. Fever is not included as a cardinal sign of infection in the rodent protection tests, for example ( Acred et al. 1994 ). Lowered body temperature, or hypothermia, however, can be an important indicator of a deteriorating condition in the animal when it occurs in specific disease or toxic states. It is well known that animals in a septic state lose the ability to maintain body temperature. A decrease in body temperature beyond a certain point (e.g., more than 4 to 6°C) has been correlated with death as an outcome in several infectious disease models. Studies of mice infected with bacteria ( Pseudomonas aeruginosa, Staphylococcus aureus, Staphylococcus epidermidis ) indicated that a hypothermia of 34°C (about 4.5°C lower than normal) was predictive of eventual mortality ( Soothill et al. 1992 ). The recommended endpoint for chronic infection of mice with systemic Candida albicans was the point when the body temperature decreased more than 4°C ( Siems and Allen 1989 ). Body temperature less than 32°C (about 6.5°C less than normal) in mice infected with an influenza virus was predictive of mortality ( Wong et al. 1997 ). Kort et al. (1998) reported that for mice infected with Klebsiella pneumoniae , a decrease in body temperature to less than 36°C was predictive of mortality and could be used as an endpoint that would not skew the results obtained. Monitoring body temperature should therefore be part of monitoring any infectious disease animal model. The frequency of monitoring will depend on the progression of the infection and the time frame to expected severe signs. Monitoring body temperature in small laboratory animals can be accomplished without undue disturbance using laser directed infrared temperature scanners ( Love et al. 1996 ), tympanic infrared thermometers ( Love et al. 1996 ), or implanted thermistor microchips ( Kort et al. 1998 ). As noted above, one effect of cytokines on animals is the production of inappetence or anorexia. Thus, the resulting weight loss is a cardinal indicator of the severity of infectious disease in animal models. Body weight can be monitored by a number of scoring systems, and we recommend using a predetermined amount of weight loss (e.g., 10 to 20% or 20%) as an endpoint ( CCAC 1998 ; Morton and Townsend 1995 ; Workman et al. 1998 ). Prolonged inappetence can lead to cachexia. The total amount of the weight lost, as well as its duration and consistency, should be used to determine the endpoint for infectious disease animal models. Animals that are recumbent or have lost the ability to reach food and water will rapidly lose weight, and this observation should influence the chosen endpoint. Decreased activity (lethargy or sleep) is also an effect of the cytokines. This change in activity level and alertness should be monitored in infectious disease animal models. In addition to primary signs of infectious disease, there are many secondary signs that can be used to track deteriorating condition. For the common laboratory animal species, a number of publications are available that detail signs of pain and distress ( Acred et al. 1994 ; Baumans et al. 1994 ; CCAC 1998 ; Flecknell 1994 ; Morton 1990, 1997a ; Morton and Townsend 1995 ; NRC 1992 ; Wallace et al. 1990 ; Wolfensohn and Lloyd 1994 ). For common domestic species, the veterinary literature will be a valuable resource for information on the signs and symptoms of infectious diseases. Detailed observational checklists for the purposes of selecting an earlier endpoint have contributed in a significant way to moving away from death or moribundity as the endpoint for animals ( Morton 1990 ; Morton and Townsend 1995 ; Workman et al. 1998 ). The condition scoring checklist should be developed specifically for each infectious disease animal model because models can vary considerably in the number of observations required to determine the endpoint. Veterinary consultation will assist in establishing the list of observations that should be used to assess the animal’s condition. Examples of observational checklists for infectious disease animal models ( Acred et al. 1994 ; CCAC 1998 ) demonstrate the extent to which detailed observations can be made and scored to find a more humane endpoint. Elevated serum cytokine levels are associated with infectious disease and its severity. However, the transient nature of elevated cytokine levels and the rapid production of binding or regulatory factors limit the value of using elevated levels to determine earlier endpoints in infectious disease animal models. Measuring the biologic consequences of cytokine production, such as increased levels of APPs, however, holds promise as a more practical method for setting earlier endpoints in infectious disease research. In the normal healthy animal, APPs are either not detectable or occur at very low levels in the plasma. Plasma levels rise rapidly (within hours) after cytokine up-regulation of the hepatocytes in response to infection, inflammatory process, certain cancers, and trauma. Based on the magnitude of the rise in plasma APPs during the acute phase response, they are grouped as “major,” “moderate,” or “minor” ( Table 1 ). Efforts have been directed primarily at measuring the major APP specific to the species of animal being studied. Some acute phase proteins (APPs) in various species a Adapted from Eckersall PD. 1992 . Meat inspection—The potential of acute phase protein assay. Meat Focus Int Oct:279–283; and Eckersall PD. 1995 . Acute phase proteins as markers of inflammatory lesions. Comp Hematol Int 5:93–97. AGP, α 1 acid glycoprotein; AMG α 2 -macroglobulin; AP, α 1 antiproteinase; Cp, ceruloplasmin; CRP, C-reactive protein; Fb, Fibrinogen; Hp, haptoglobin; SAA, serum amyloid A. Some acute phase proteins (APPs) in various species a Adapted from Eckersall PD. 1992 . Meat inspection—The potential of acute phase protein assay. Meat Focus Int Oct:279–283; and Eckersall PD. 1995 . Acute phase proteins as markers of inflammatory lesions. Comp Hematol Int 5:93–97. AGP, α 1 acid glycoprotein; AMG α 2 -macroglobulin; AP, α 1 antiproteinase; Cp, ceruloplasmin; CRP, C-reactive protein; Fb, Fibrinogen; Hp, haptoglobin; SAA, serum amyloid A. Depending on the animal species, the serum profile of the APP varies and is related to the type of inflammatory response ( Conner et al. 1989 ; Eckersall and Conner 1988 ). This variation occurs even in closely related species like the mouse and rat; the major APP in the mouse is serum amyloid A, whereas in the rat it is α 2 -macroglobulin. The specific APP to be measured depends on the species and the type of infection/inflammatory response being studied. High levels of the major APP correlate well with the presence and severity of infectious disease. Thus, they can be used for diagnosis (the presence and extent of inflammatory lesions), for prognosis in infectious disease cases, for measuring the response to treatment, and as predictors of outcome in experimental situations. Research is needed in several areas for the use of APP measurements to become a practical means of setting more humane endpoints in the rodent models of infectious disease. In other words, a specific level of APP beyond which the animal never recovers is needed. Such research is necessary to clarify the nature and extent of the acute phase response in rodent models for specific infectious agents. Standardized, rapid tests for APPs using small volumes of blood or serum will also be necessary. The study of haptoglobin (Hp 1 ) levels in cattle serves as an excellent example of how an acute phase protein useful for diagnostic, prognostic, and treatment evaluation purposes can also serve as an early indicator suitable for determining an earlier, more humane endpoint in an infectious disease model. Hp has been associated with experimental inflammation in cattle (endotoxin administration, Conner et al. 1989 ; turpentine injection, Conner et al. 1988 ) and many clinical diseases (e.g., Conner et al. 1989 ; Godson et al. 1996 ; Hirvonen et al. 1996 ; Hofner et al. 1994 ; Horadagoda et al. 1994 ; Salonen et al. 1996 ). Hp levels also increase after surgery ( Makimura and Suzuki, 1982 , Morimatsu et al. 1992 ) and after certain stressful conditions such as transport ( Murata and Miyamoto 1993 ). Hp has very low values in normal healthy cattle ( McNair et al. 1995 ). The increase in Hp after infection can be on the order of 1000-fold and is associated with the severity of the insult; however, there is a range of response in individual animals given a specific challenge. Studies on a bovine respiratory disease model in weaned beef calves indicated that elevations in Hp levels, which correlated with the subjective clinical sickness score, elevated body temperature, and weight change could be used to discriminate between clinical outcomes ( Table 2 ; Godson et al. 1996 ). The clinical sickness score was determined using a clinical observational check list developed specifically for this model. A version of the clinical observational check list was published in the appendices to the CCAC endpoints guidelines ( CCAC 1998 ). Hp levels began increasing 24 to 48 hr after the calves were exposed to the bacterial agent Pasteurella haemolytica and were significantly higher by 72 hr in calves that were euthanized (or died) ( Figure 2 ; Godson et al. 1996 ). Thus Hp levels served as an early objective indicator of disease severity and could be included in the criteria for making a decision to euthanize the animal. Confidence in the decision may be improved by including measurement of additional acute phase reactants. For instance, levels of blood trace minerals such as copper, zinc, and iron also change during the acute phase response. In the experiment described above, zinc levels, which the authors measured, decreased during the same 24- to 48-hr period as Hp levels began increasing. Survivors and nonsurvivors were more clearly differentiated by this combination of Hp and zinc measurements ( Figure 2 ). Haptoglobin (Hp)/zinc ratio calculation (Hp value divided by the zinc value) improves separation of two outcome groups in a bovine respiratory disease model, compared with Hp measurements alone. Source: Unpublished data analysis arising from the work reported in Godson DL, Campos 1996 . haptoglobin as an indicator of the acute phase response in bovine respiratory disease. of haptoglobin with other of disease severity a Adapted from Godson DL, Campos 1996 . as an indicator of the acute phase response in bovine respiratory disease. calves were with on and with Pasteurella haemolytica on The data were grouped to the animal survived the challenge. animals in the are as the and for each of disease severity were significantly between the groups were significant serum haptoglobin determined by assay. sick score after haemolytica severe disease. temperature after haemolytica challenge. in weight from the of the trial to its on plasma zinc determined by of haptoglobin with other of disease severity a Adapted from Godson DL, Campos 1996 . as an indicator of the acute phase response in bovine respiratory disease. calves were with on and with Pasteurella haemolytica on The data were grouped to the animal survived the challenge. animals in the are as the and for each of disease severity were significantly between the groups were significant serum haptoglobin determined by assay. sick score after haemolytica severe disease. temperature after haemolytica challenge. in weight from the of the trial to its on plasma zinc determined by for measuring serum levels of Hp and other APPs have been developed and include the binding ( Makimura and Suzuki, 1982 ), ( Morimatsu et al. 1992 ), ( McNair et al. 1995 ), and ( Godson et al. 1996 ; et al. 1996 ). Depending on the the of serum needed will be small less than and the results may be 4 to hr for 24 hr for We are of one ) that an APP a 1 acid for several species including and about to and 24 hr to The of serum needed is small (e.g., of rapid tests for APPs, in to the has been The process of establishing more humane endpoints in infectious disease research involve the laboratory animal animal care and use and ( CCAC 1998 ; 1995 ). In any research in which an earlier endpoint is for welfare on the point that the laboratory animal’s pain and/or distress the scientific for objective evaluation will much consultation between the veterinary and animal care The published CCAC endpoints guidelines ( CCAC 1998 ), developed to assist animal care and with that process, will be useful to all with establishing endpoints in infectious disease animal models.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.057
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.300

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0570.053
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0040.003
Science and technology studies0.0020.004
Scholarly communication0.0050.004
Open science0.0040.005
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0330.012

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.376
GPT teacher head0.477
Teacher spread0.101 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
DomainMethods
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations97
Published2000
Admission routes2
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