HIV is associated with accelerated ageing that antiretroviral therapy only partially reverses

Domizia Salusest | www.domiziasalusest.com

Untreated HIV infection is associated with epigenetic age acceleration, which is more pronounced in individuals with severe immunodeficiency, according to a study recently published in The Lancet HIV. It also suggests that epigenetic ageing can be partly reversed by antiretroviral therapy only two years after starting it. However, no significant difference was found in epigenetic age between the two antiretroviral regimens taken by the study participants.

Background

Antiretroviral therapy has transformed HIV into a chronic disease in which life expectancy of people living with HIV approaches that of the general population. However, rates of age-related co-morbidities, including metabolic disorders, cardiovascular, bone, neurological, kidney and liver disease, as well as cancers and frailty are higher in people living with HIV.

This observation has led to the hypothesis that people living with HIV might age prematurely or more markedly than other people. In other words, their biological age (how well their body functions) might be greater than their chronological age (how many years they have lived). It is also assumed that this phenomenon may be linked to the residual immune system deterioration and to the inflammation that persists in people living with HIV, despite successful antiretroviral therapy.

Epigenetics is recognised as key to the understanding of biological ageing. The term refers to metabolic processes regulating gene functions and to their study. DNA methylation is one of these processes: groups of molecules – methyl groups – attach to genes to facilitate their expression, or instructions to produce genetic material where needed, without altering their DNA structure. 

Glossary

deoxyribonucleic acid (DNA)

The material in the nucleus of a cell where genetic information is stored.

control group

A group of participants in a trial who receive standard treatment, or no treatment at all, rather than the experimental treatment which is being tested. Also known as a control arm.

comorbidity

The presence of one or more additional health conditions at the same time as a primary condition (such as HIV).

biomarker

Genes, proteins or chemicals that can act as signals for certain diseases.

metabolism

The physical and chemical reactions that produce energy for the body. Metabolism also refers to the breakdown of drugs or other substances within the body, which may occur during digestion or elimination.

However, alterations in DNA methylation can occur under the influence of external factors such as persistent HIV inflammation, and consequently accelerate epigenetic ageing and the risk of age-related diseases. This is why DNA methylation has become an important marker for the calculation of epigenetic ageing.

Mathematical algorithms called epigenetic clocks, or DNA methylation clocks, have been developed to estimate epigenetic age. Based on DNA methylation and other biomarkers, their interest lies in the fact that epigenetic age acceleration predicts the occurrence of age-related co-morbidities and mortality in the general population. 

The study

Dr Andrés Esteban-Cantos, from the Hospital La Paz in Madrid, and colleagues from other European research centres, explored the potential benefit of antiretroviral therapy on epigenetic ageing. For this, the team used frozen blood samples from 168 participants in the NEAT001/ANRS143 clinical trial – 84 in each arm of the trial. For comparison purposes, it also used blood samples from a control group made of 44 HIV-seronegative individuals, with a similar age and gender distribution as among the 168 trial participants. However, in this small control sample, the only matched variables were age and sex. Therefore, comparisons between HIV-positive and HIV-negative participants cannot account for potential confounders such as socioeconomic status, lifestyle and prevalence of cytomegalovirus co-infection, which have been shown to be associated with epigenetic ageing.

NEAT001/ANRS143 was a European clinical trial conducted in 2010-13 among people living with HIV who had never taken antiretrovirals. It showed that over 96 weeks, a nucleoside sparing antiretroviral regimen (boosted darunavir + raltegravir) was as effective as a conventional regimen (boosted darunavir + tenofovir disoproxil fumarate + emtricitabine).

The investigators used four different clocks to calculate epigenetic age acceleration: Horvath’s clock, Hannum’s clock, PhenoAge and GrimAge. Each of these tools takes into account a large number of biomarkers, but calculates epigenetic age differently. The latter two more reliably predict morbidity and mortality than the first two, with GrimAge generally considered the most reliable of the four.

Results

At the very beginning of the NEAT trial, or baseline, participants’ characteristics were similar in both treatment groups. They were relatively young (median 38 years), mostly male (88%) and White (82%), with a median CD4 count of 346.

Moreover, at week 96 of the trial, immunological and virological responses did not differ between treatment groups. An increase of the CD4 counts and the CD4/CD8 ratio from baseline was observed.

No difference in age acceleration was observed between the two treatment groups at any time point. A strong correlation was found between chronological age and the four epigenetic clocks in participants with HIV, both at baseline and at week 96, as well as in the control group.

By comparison with the HIV-negative control group, the investigators found that, before starting antiretroviral therapy, trial participants showed higher epigenetic age acceleration, according to all the four clocks: mean 2.5 years, 95% CI 1.89 to 3.22, for Horvath; 1.4 years, 0.74 to 1.99, for Hannum; 2.8 years, 1.97 to 3.68, for GrimAge; and 7.3 years, 6.40 to 8.13, for PhenoAge.

This acceleration decreased significantly after 96 weeks of antiretroviral therapy. Compared with the baseline data mentioned above, mean differences were as follows:

  • -1.1 years, 95% CI -1.51 to 0.66 for Horvath.
  • -1.6 years, 95% CI -2.08 to -1.21 for Hannum.
  • -0.6 years, 95% CI -1.14 to -0.05 for GrimAge.
  • -3.6 years, 95% CI -4.27 to -2.88 for PhenoAge.

In other words, before starting antiretroviral therapy, people with HIV had an epigenetic age that was 2.8 years “older” than that of the control group, as measured by GrimAge. Two years of therapy reduced this by 0.6 years, so that they were 2.2 years older. Slightly different results were observed with each epigenetic clock.

"Epigenetic age acceleration predicts the occurrence of age-related co-morbidities and mortality in the general population."

This result is significant because it demonstrates a positive effect of antiretroviral therapy on epigenetic ageing. However, compared with the control group, participants with HIV still showed a significantly higher epigenetic age acceleration with PhenoAge and GrimAge, despite being on antiretroviral therapy for two years.

Since this suggested a negative effect of HIV on epigenetic ageing, the investigators assessed whether more advanced HIV infection was associated with higher epigenetic age acceleration.

In 28 participants with a CD4 count below 200 at baseline, higher levels of epigenetic age acceleration markers were found, with slightly different results depending on the estimator. Epigenetic age acceleration measures were also increased in the 51 participants with a viral load greater than 100,000 copies at baseline, again with variations depending on the clock used.

Interestingly, a statistical model showed that after two years of antiretroviral therapy, participants with CD4 counts below 200 at baseline had a more pronounced decline in epigenetic ageing than their counterparts with a CD4 count above 200. However, similar differences were not observed according to baseline viral load. 

The underlying causes of the association between HIV and epigenetic age acceleration, suggested by many previous studies, remain unclear. Since this study was done with frozen blood samples, the investigators estimated the composition of the main leucocytes (proportion of each type of leucocytes) subsets to examine their relationship with epigenetic age acceleration.

They found that leucocyte composition was markedly different between participants with untreated HIV at baseline, participants with treated HIV for 96 weeks and control participants. After adjustment for leucocyte composition, epigenetic differences were no longer found for Horvath’s clock and GrimAge. Further research should further investigate this point.

Discussing their results, Esteban-Cantos and colleagues highlight their main findings:

  • Participants with HIV had accelerated epigenetic ageing, which was more marked in those with CD4 counts less than 200 or viral load over 100,000 copies at baseline.
  • A partial reversal of epigenetic ageing was observed after only two years of antiretroviral therapy, with no difference between the NEAT trial treatment groups.
  • This reversal was more marked in participants with more severe baseline CD4 immunodeficiency at baseline.

Of course, many questions remain unanswered. For example, could epigenetic ageing reversal be more pronounced with the most recent antiretrovirals than those given in the NEAT001/ANRS143 trial? And how long would it take for this to be observed? 

Esteban-Cantos and colleagues conclude that “further research is needed to evaluate the long-term effect of antiretroviral therapy in epigenetic ageing dynamics and to reveal the clinical relevance of epigenetic biomarkers in people living with HIV”. If they are shown to be clinically relevant, epigenetic ageing biomarkers could be used to identify which individuals living with HIV have an elevated risk of age-related co-morbidities, and therefore might benefit from more aggressive preventive interventions than today’s.