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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
J Acquir Immune Defic Syndr. Author manuscript; available in PMC 2017 May 1.
Published in final edited form as:
PMCID: PMC4837005

CD4/CD8 Ratio Predicts Peripheral Fat in HIV-infected Population


Loss of peripheral fat (lipoatrophy) was previously common among HIV-infected individuals and was associated with the use of older nucleoside reverse transcriptase inhibitors (NRTI) such as stavudine (d4T) and zidovudine (ZDV).1-3 These older NRTIs are no longer in common use, but peripheral fat loss is still observed and could be from direct consequences of HIV per se and/or from HIV-induced immune activation/inflammation.4,5 Using dual energy absorptiometry (DXA), we compared peripheral fat content in older HIV-infected individuals who were virologically suppressed on potent antiretroviral therapy (ART) not including d4T or ZDV to HIV-negative individuals of similar age and socio-demographic characteristics, and assessed the relationship of T-cell immune parameters to peripheral fat content in HIV-infected individuals.


Patient Selection

Our study is a subgroup analysis utilizing baseline data from the Hawaii Aging with HIV-Cardiovascular Study (HAHC-CVD), a 5-year longitudinal cohort study of the pathogenesis of cardiovascular disease in HIV. Entry criteria included: documented HIV infection, ≥40 years of age, and on suppressive ART for ≥3 months. HIV-negative subjects of similar age and health status were used as controls. The University of Hawaii Institutional Review Board approved this study and informed written consent was obtained from all study subjects. Details of the HAHC-CVD study has been previously published.6

Laboratory Evaluations

CD4+ T-cell nadir levels and past use of zidovudine (ZDV), stavudine (d4T) and didanosine (ddI) were provided by self-report and cross-referenced with medical records. Body composition including peripheral fat was measured by DXA using Lunar Prodigy scanner (GE Medical Systems, Inc., Milwaukee, WI). T-cell subset and plasma HIV RNA were performed at Diagnostic Laboratory Services, Inc., a CLIA-certified local commercial laboratory. CD8+ T-cell activation levels were derived by multiplying the total number of CD8+ T-cells by the percentage of CD8+ T-cells co-expressing CD38+ and HLA-DR as assessed by a separate flow cytometry assay in our laboratory (CD38+HLA-DR+CD8+ T-cell).

Statistical Analyses

Peripheral fat was quantified in grams, divided by height in meters squared (as described by J.E. Lake et al)7 and log10-transformed to achieve normal distribution. Our analysis examined the effect of HIV status on height-normalized peripheral fat using multivariable linear regression analysis. Afterwards, we focused on the HIV-infected group and performed multivariable analyses to determine whether the outcome was associated with various T-cell immune parameters. Beta-estimates were back transformed to produce percentage estimates for all models. All models were adjusted for age, gender, and past use of ZDV, d4T or ddI, with all HIV-negative subjects classified as never using these ARTs. At all points of the analyses, tests were two-sided and p values < 0.05 were considered statistically significant. All statistical analyses were performed using commercially available software: SPSS version 22 (IBM corporation, Armonk, NY).


Over-all, 207 subjects were included in the analysis (133 HIV-infected subjects and 74 HIV-negative subjects). Among the HIV-infected subjects: mean age 52.2 years, 88% male, 60.2% Caucasian, and mean BMI 26.4 kg/m2. Among the HIV-negative subjects: mean age 54.3 years, 80% male, 66.2% Caucasian and mean BMI 27.3 kg/m2. There was no statistically significant difference in age, gender, ethnicity and BMI between HIV-infected subjects and controls.

Among the HIV-infected subjects, mean CD4+ T-cell count was 535.2 cells/mm3. All had HIV RNA <50 copies/mL and 70.7% had previously been treated with ZDV, d4T, and/or ddI. There were 11 (8.3%) subjects currently receiving AZT and 3 (2.3%) subjects currently receiving DDI. The mean CD4+ T-cell nadir was 171 cells/mm3 and the mean CD8+ T-cell count was 787.6 cells/mm3. Mean CD38+HLA-DR+CD8+ T-cell count was 97.7. Mean CD4/CD8 ratio was 0.77.

HIV-infected subjects had 22% less peripheral fat normalized to height squared than the HIV-negative subjects, controlling for age, gender and past use of ZDV, d4T and/or ddI (p = 0.02). Multivariable linear regression models among the HIV-infected subgroup examining the association of T-cell immune parameters adjusting for the same covariates found that CD4/CD8 ratio was positively associated and CD8+ T-cell count and CD38+HLA-DR+CD8+ T-cell count were negatively associated with height-normalized peripheral body fat (see Table). Each 0.1 increase in CD4/CD8 ratio was associated with a 2.6% increase in peripheral fat. There was no statistically significant association between CD4+ T-cell count and CD4+ T-cell nadir with height-normalized peripheral fat.

Multivariable linear regression analysis assessing association of each T-cell subset with peripheral fat in HIV infected subjects*


Our study found that HIV-infected subjects in the era of ART continue to have less peripheral fat than HIV-negative subjects of similar age. This difference was independent of past use of ZDV, d4T and/or ddI. These findings are consistent with previous studies which have suggested that peripheral fat loss is mainly affected by HIV immune dysregulation, specifically high levels of CD8+ T-cell activation.5,8

Chronic inflammation has been described to play a major role in the development of lipoatrophy, as shown by increased circulating activated monocytes (CD16-expressing monocytes) and macrophages and high expression of TNF-α, IL-6 and IL-8 within subcutaneous adipose tissue of subjects with lipoatrophy.9 Our study found an association between peripheral fat loss and increased CD8+ T-cell immune dysregulation/activation, as well as with decreased CD4/CD8 ratio. A low CD4/CD8 ratio represents an imbalance in immune reconstitution and is associated with T cell activation, senescence and dysfunction, and with chronic inflammation.10,11 This increase in chronic inflammation has been hypothesized to explain the association between low CD4/CD8 ratio and non-AIDS related complications, such as cardiovascular disease, end-staged kidney disease, and non-AIDS malignancies.12,13 Very low CD4/CD8 ratios (< 0.3) independently predict the risk of serious non-AIDS events or deaths including cardio-metabolic disease.14 Our data suggests that low CD4/CD8 ratios are also a predictor of decreased subcutaneous fat loss.

Aging is also associated not only with increased inflammatory tendencies but also with body fat redistribution, including a relative loss of subcutaneous peripheral fat. These age-related changes in body fat have been linked to increased risk of metabolic complications including diabetes and cardiovascular disease.15 While much regarding its pathogenesis remains unknown, a recent study in a healthy older population showed an association between peripheral fat loss and a decline in adipogenesis which in turn was associated with higher plasma levels of soluble tumor necrosis factor receptor 2 (sTNFR2) and greater release of TNF-α from fat tissue.16

Our study has important limitations. First, our study is cross-sectional and causation or temporal effects of variables remains conjectural. Additionally, duration of ZDV, d4T, and ddI use was not available.

In conclusion, HIV-infected individuals in the era of potent ART continue to have lower peripheral fat compared to HIV-negative individuals. Similar to other non-infectious chronic complications of HIV, immune dysregulation and inflammation may serve to accentuate age-related peripheral fat loss. CD4/CD8 ratio, a commonly assessed clinical laboratory value, may be helpful in defining risk of peripheral fat loss and future cardio-metabolic disease risk in this population.


The authors thank the clinical and laboratory staff of the Hawaii Center for AIDS, University of Hawaii and the volunteers of the Hawaii Aging with HIV cohort study who made this study possible. This research was supported by grants R01HL095135, U54 NS43049 and U54MD007584.

This study was supported in part by grants R01HL095135, U54 NS43049 and U54MD007584 from the National Institute of Health (NIH).


The authors have no conflicts of interest to disclose.


1. Bernasconi E, Boubaker K, Junghans C, et al. Abnormalities of body fat distribution in HIV-infected persons treated with antiretroviral drugs: The Swiss HIV Cohort Study. J Acquir Immune Defic Syndr. 2002;31:50–55. [PubMed]
2. Saint-Marc T, Partisani M, Poizot-Martin I, et al. A syndrome of peripheral fat wasting (lipodystrophy) in patients receiving long-term nucleoside analogue therapy. Aids. 1999;13:1659–1667. [PubMed]
3. Barragan P, Fisac C, Podzamczer D. Switching strategies to improve lipid profile and morphologic changes. AIDS Rev. 2006;8:191–203. [PubMed]
4. Kotler DP, Rosenbaum K, Wang J, et al. Studies of body composition and fat distribution in HIV-infected and control subjects. J Acquir Immune Defic Syndr Hum Retrovirol. 1999;20:228–237. [PubMed]
5. Lichtenstein KA, Delaney KM, Armon C, et al. Incidence of and risk factors for lipoatrophy (abnormal fat loss) in ambulatory HIV-1-infected patients. J Acquir Immune Defic Syndr. 2003;32:48–56. [PubMed]
6. Shikuma C, Liang CY, Bennett K, et al. Vitamin D Levels and Markers of Arterial Dysfunction in HIV; Hawaii Aging with HIV-Cardiovascular Study Team. AIDS Research and Human Retrovirus. 2012;28:793–797. [PMC free article] [PubMed]
7. Lake JE, Wohl D, Scherzer R, et al. Regional fat deposition and cardiovascular risk in HIV infection: the FRAM study. AIDS Care. 2011;23:929–938. [PMC free article] [PubMed]
8. Guaraldi G, Luzi K, Bellistri GM, et al. CD8 T-cell activation is associated with lipodystrophy and visceral fat accumulation in antiretroviral therapy-treated virologically suppressed HIV-infected patients. J Acquir Immune Defic Syndr. 2013;64:360–366. [PubMed]
9. Caron-Debarle M, Lagathu C, Boccara F, et al. HIV-associated lipodystrophy: from fat injury to premature aging. Trends Mol Med. 2010;16:218–229. [PubMed]
10. Buggert M, Frederiksen J, Noyan K, et al. Multiparametric bioinformatics distinguish the CD4/CD8 ratio as a suitable laboratory predictor of combined T cell pathogenesis in HIV infection. J Immunol. 2014;192:2099–2108. [PubMed]
11. Serrano-Villar S, Deeks SG. CD4/CD8 ratio: an emerging biomarker for HIV. Lancet HIV. 2015;2:e76–77. [PubMed]
12. Lu W, Mehraj V, Vyboh K, et al. CD4:CD8 ratio as a frontier marker for clinical outcome, immune dysfunction and viral reservoir size in virologically suppressed HIV-positive patients. J Int AIDS Soc. 2015;18:20052. [PMC free article] [PubMed]
13. Serrano-Villar S, Perez-Elias MJ, Dronda F, et al. Increase risk of serious non-AIDS-related events in HIV-infected subjects on antiretroviral therapy associated with a low CD4/CD8 ratio. PLoS ONE. 2014;9:e85798. [PMC free article] [PubMed]
14. Mussini C, Lorenzini P, Cozzi-Lepri A, et al. CD4/CD8 ratio normalisation and non-AIDS-related events in individuals with HIV who achieve viral load suppression with antiretroviral therapy: an observational cohort study. Lancet HIV. 2015;2:e98–106. [PubMed]
15. Haffner SM. Pre-diabetes, insulin resistance, inflammation and CVD risk. Diabetes Res Clin Pract. 2003;61:S9–18. [PubMed]
16. Caso G, McNurlan M, Mileva I, et al. Peripheral fat loss and decline in adiogenesis in older humans. Metabolism. 2013;62:337–340. [PMC free article] [PubMed]