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Robert L Perlman

Publications and source records attributed to Robert L Perlman.

4 recordsLinked to original sources

Why disease persists: an evolutionary nosology.

Although natural selection might be expected to reduce the incidence and severity of disease, disease persists. Natural selection leads to increases in the mean fitness of populations and so will reduce the frequency of disease-associated alleles, but other evolutionary processes, such as mutation and gene flow, may introduce or increase the frequency of these deleterious alleles. The pleiotropic actions of genes and the epistatic interactions between them complicate the relationship between genotype and phenotype, and may result in the preservation of disease-associated alleles. Deleterious alleles may also be maintained because of linkage to beneficial alleles. The inability of natural selection to eliminate diseases of aging is a reminder that fitness -- success in producing progeny, or in contributing genes to the population gene pool -- is not equivalent to the absence of disease. Nutritional or psychosocial cues may lead to life history strategies that maximize survival to reproductive maturity at the expense of disease later in life. Natural selection acts on genes, cells, and groups, as well as on organisms; the outcome of evolution reflects selection at different levels of biological organization. Finally, the human environment is constantly changing, largely because of the evolution of our parasites and because of changes in cultural beliefs and practices; genetic evolution is comparatively slow and lags behind environmental change. An evolutionary nosology complements traditional medical nosologies and enhances our understanding of the persistence of disease and the meaning of human variation.

Environment↗

Disparities and discrimination in health care: an introduction.

Racial disparities in health care and health outcomes are a disturbing feature of the American health care system. Efforts to reduce or ameliorate these disparities must be informed by an understanding of the factors that underlie and contribute to them. The papers in this issue are based on a recent conference that was held at the University of Chicago to address this problem. Socioeconomic status is an important determinant of health, and socioeconomic disparities are major determinants of the racial disparities in health. These socioeconomic disparities are complicated by access to health insurance, geographic factors, and unhealthy behaviors. Geographic disparities, both regional and local, also contribute to racial disparities in health. Moreover, current disparities in the health of adult populations may reflect socioeconomic disparities that prevailed during their intrauterine or early infant development. There seems little evidence that either overt or unconscious discrimination on the part of physicians is an important cause of racial disparities in health; blaming physicians for this problem is counterproductive. Improving the quality of medical care holds the promise not only of improving health for all Americans, but of decreasing the racial disparities in health care that are so troubling today.

Health Behavior↗

Why is revitalizing clinical research so important, yet so difficult?

We believe that support for academic clinical research has greatly declined in recent decades. Here we discuss our views on why this has happened. We define clinical or patient-oriented research as limited to the study of human beings or populations of individuals, and argue that its eclipse in favor of basic and "translational" research is the result of inappropriate conceptual paradigms or "models" for medical advances. We believe that medical history shows that the "bench-to-bedside" model is inadequate to explain most recent progress and that clinical advances themselves often lead to new basic research. Discussion of alternate conceptual frameworks for biomedical research should help lead to changes in funding and organizational structures that might finally revitalize clinical research.

Biomedical Research↗