2022

UCLA study shows HIV speeds up body’s aging processes soon after infection


Changes at the DNA level can accelerate aging by nearly five years, according to research co-authored by Dr. Steven Horvath and Dr. Christina Ramirez.

HIV

HIV has an “early and substantial” impact on aging in infected people, accelerating biological changes in the body associated with normal aging within just two to three years of infection, according to a study by UCLA researchers and colleagues.

The findings suggest that new HIV infection may rapidly cut nearly five years off an individual’s life span relative to an uninfected person.

“Our work demonstrates that even in the early months and years of living with HIV, the virus has already set into motion an accelerated aging process at the DNA level,” said lead author Dr. Elizabeth Crabb Breen, a professor emerita at UCLA’s Cousins Center for Psychoneuroimmunology and of psychiatry and biobehavioral sciences at the David Geffen School of Medicine at UCLA. “This emphasizes the critical importance of early HIV diagnosis and an awareness of aging-related problems, as well as the value of preventing HIV infection in the first place.”

The study is published in the peer-reviewed journal iScience; co-authors include Dr. Steven Horvath, UCLA Fielding School of Public Health professor of human genetics and biostatistics, and Dr. Christina Ramirez, UCLA Fielding School professor of biostatistics.

Previous research has suggested that HIV and antiretroviral therapies used to keep the infection under control are associated with an earlier onset of age-related conditions typically associated with aging, such as heart and kidney disease, frailty, and cognitive difficulties.

The research team analyzed stored blood samples from 102 men collected six months or less before they became infected with HIV and again two to three years after infection. They compared these with matching samples from 102 non-infected men of the same age taken over the same time period. The authors say this study is the first to match infected and non-infected people in this way. All the men were participants in the Multicenter AIDS Cohort Study, an ongoing nationwide study initiated in 1984.

The researchers focused on how HIV affects epigenetic DNA methylation, a process cells use to turn genes on or off in the course of normal physiological changes. Epigenetic changes are those made in response to the influence of environment, people’s behaviors or other outside factors — such as disease — that affect how genes behave without changing the genes themselves.

The team examined five epigenetic measures of aging. Four of them are what are known as epigenetic “clocks,” each of which uses a slightly different approach to estimate biological age acceleration in years, relative to chronologic age. The fifth measure assessed the length of telomeres, the protective cap-like ends of chromosomes that become progressively shorter with age as cells divide, until they become so short that division is no longer possible.

HIV-infected individuals showed significant age acceleration in each of the four epigenetic clock measurements — ranging from 1.9 to 4.8 years — as well as telomere shortening over the period beginning just before infection and ending two to three years after, in the absence of highly active antiretroviral treatment. Similar age acceleration was not seen in the non-infected participants over the same time interval.

“Our access to rare, well-characterized samples allowed us to design this study in a way that leaves little doubt about the role of HIV in eliciting biological signatures of early aging,” said senior author Dr. Beth Jamieson, a professor in the division of hematology and oncology at the Geffen School. “Our long-term goal is to determine whether we can use any of these signatures to predict whether an individual is at increased risk for specific aging-related disease outcomes, thus exposing new targets for intervention therapeutics.”

The researchers noted some limitations to the study. It included only men, so results may not be applicable to women. In addition, the number of non-white participants was small, and the sample size was insufficient to take into consideration later effects of highly active antiretroviral treatment or to predict clinical outcomes.

There is still no consensus on what constitutes normal aging or how to define it, the researchers wrote.

The Multicenter AIDS Cohort Study, or MACS, is a large-scale research project that uses demographic factors, habits, disease history and sexual history among men who have sex with men to examine the natural and treated history of HIV infection and AIDS. It is led by Dr. Roger Detels, UCLA Fielding School of Public Health distinguished research professor of epidemiology and infectious diseases and director and principal investigator of MACS. It is one of the few cohort studies in the world to have biological samples available both before and after documented HIV infection in the same individuals. In 2019, MACS was combined with the Women’s Interagency HIV Study to form the MACS/WIHS Combined Cohort Study, or MWCCS.

This work was supported by grants from the National Institutes of Health National Institute on Aging (R01 AG052340, R01 AG030327) and National Heart, Lung and Blood Institute (U01-HL146333), and the Susan G. Komen Career Catalyst Award (CCR16380478).

by Enrique Rivero


The UCLA Fielding School of Public Health, founded in 1961, is dedicated to enhancing the public's health by conducting innovative research, training future leaders and health professionals from diverse backgrounds, translating research into policy and practice, and serving our local communities and the communities of the nation and the world. The school has 761 students from 26 nations engaged in carrying out the vision of building healthy futures in greater Los Angeles, California, the nation and the world.

Faculty Referenced by this Article

Dr. Christina Ramirez
Christina Ramirez
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Dr. Marc Suchard
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Martin L. Lee
Martin L. Lee
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Dr. Zhe Fei
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Dr. Donatello Telesca
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Brunilda Balliu headshot
Brunilda Balliu
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Xiaowu Dai headshot
Xiaowu Dai
Biostatistics
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Honghu Liu
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Li, Jingyi Jessica
Jingyi Jessica Li
Biostatistics
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Dr. Dorota Dabrowska
Dorota M. Dabrowska
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Ron Brookmeyer
Ron Brookmeyer
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Jason H. Moore, Ph.D.
Jason H. Moore

Automated and accessible artificial intelligence methods and software for biomedical data science.

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Sudipto Banerjee
Sudipto Banerjee
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Damla Senturk
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David Gjertson
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Dr. Hilary Aralis
Hilary Aralis
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Dr. Michele Guindani
Michele Guindani
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Thomas Belin
Thomas R. Belin
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Andrew Holbrook
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Abdelmonem Afifi
Abdelmonem A. Afifi
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