Some aging treatments shown to have opposite effects on males and females
What helps her live longer might be harmful to him, according to a new study that may shed light on how and why organisms age. Analyzing years of previous research on dietary and pharmaceutical tests on flies and mice, researchers showed that aging interventions can have opposite effects on mortality rates in males versus females.
Researchers found that treating flies with the steroid hormone mifepristone/RU486 (used in humans for terminating pregnancy) decreased egg production in females while increasing longevity. Similar effects were seen by tweaking the diets of flies and mice, but the effects were sometimes opposite in males versus females.
Increasing lifespan also increased the acceleration of age-dependent mortality rate of the population. That’s evidence of a strong Strehler-Mildvan relationship, which is described by the Gompertz equation, a model for mortality in a population.
Suppose you could create a graph of the mortality rate of everyone born in a single year, from birth until the last person died. You’d see two key things at play: Right off the bat, there’d be a small number of individuals dying here and there – typically due to infections and pathogens. That’s non-age-driven mortality.
Then, as the group aged, you’d see the mortality rate rise exponentially until the last person died. This acceleration is thought to represent true aging – the inexplicable breakdown of the body over time.
“We all speculate, but no one has really figured out what the cause of that acceleration is,” Tower said.
“Our results show that dietary and genetic interventions sometimes have opposite effects on that acceleration in males versus females.”
The combination of age-driven and non-age-driven mortality is described by the Gompertz equation, named for the British mathematician who first suggested it in 1825.
What the Strehler-Mildvan relationship implies is that this equation is affected by the mixture of strong and frail individuals in a population – and that if you tweak the mixture, the mortality rates will adjust accordingly.
“There are weaker, low-vitality individuals in the population and if you kill them off, you’re left with high-vitality individuals and the population has a slow mortality acceleration with age,” Tower said.
“The relationship was so striking in how robust it was in the data we analyzed. I’ve never seen numbers like that. It confirms that this is a very fundamental relationship.”
The findings would also seem to support the antagonistic pleiotropy model for aging, proposed in 1957 by George Williams of Michigan State University. In part, the model tries to explain why our bodies ultimately break down and die.
Williams suggested that natural selection might select for a gene that creates a fatal flaw later in life if it offers some significant benefit earlier – that is, if it helps individuals reproduce successfully, it’s beneficial to the species even if it does ultimately shorten the individual’s lifespan. (“Pleiotropy” refers to a single gene that affects multiple physical characteristics.) Such genes would, against common wisdom, be selected for.
The mifepristone intervention appears to prevent such a trade-off between lifespan and reproductive ability – albeit, a sex-dependent one.
The antagonistic pleiotropy model has received a number of criticisms over the past half-century, including the thought if that were really the driving force behind aging, somewhere in the history of evolution, some organism should have been able to overcome it.
Tower’s study supports the idea that sexual antagonistic pleiotropy, where a gene benefits one sex but has a detriment for the other sex, maintains genes in the genome that shorten life span of both sexes.
Shen J, Landis GN, & Tower J (2016). Multiple Metazoan Life-span Interventions Exhibit a Sex-specific Strehler-Mildvan Inverse Relationship Between Initial Mortality Rate and Age-dependent Mortality Rate Acceleration. The journals of gerontology. Series A, Biological sciences and medical sciences PMID: 26893470