Journal List > Yonsei Med J > v.53(6) > 1030938

Jeong, Chin, Chae, Jin, Ku, Baek, Han, Kim, Choi, Song, Lee, and Kim: Serum Retinol-Binding Protein-4 Levels Are Increased in HIV-Infected Subjects with Metabolic Syndrome Receiving Highly Active Antiretroviral Therapy

Abstract

Metabolic syndrome is an important long term complication in chronic asymptomatic HIV-infected subjects under highly active antiretroviral therapy (HAART), because it can contribute to morbidity and mortality via cardiovascular disease (CVD). Therefore, a predictive marker for early detection of metabolic syndrome may be necessary to prevent CVD in HIV-infected subjects. Retinol-binding protein-4 (RBP-4) has been shown to be associated with metabolic syndrome in various non-HIV-infected populations. We performed a cross-sectional study to evaluate whether serum RBP-4 levels are correlated with metabolic syndrome in HIV-infected subjects receiving HAART. In total, 98 HIV-infected Koreans who had been receiving HAART for at least 6 months were prospectively enrolled. Metabolic syndrome was diagnosed according to the Adult Treatment Panel III criteria, and serum RBP-4 concentrations were measured using human RBP-4 sandwich enzyme-linked immunosorbent assay. Serum RBP-4 levels were significantly higher in HIV-infected subjects receiving HAART with metabolic syndrome (n=33, 33.9±7.7 µg/mL) than in those without it (n=65, 29.9±7.2 µg/mL) (p=0.012). In multivariate linear regression analysis, the number of components of metabolic syndrome presented and waist circumference were independently, significantly correlated with RBP-4 (p=0.018 and 0.030, respectively). In conclusion, we revealed a strong correlation between RBP-4 and the number of components of metabolic syndrome in HIV-infected subjects receiving HAART.

Highly active antiretroviral therapy (HAART) leads to a spectrum of metabolic complications, including lipodystrophy (LD), insulin resistance (IR) and dyslipidemia,1 that contribute to a higher prevalence of metabolic syndrome (MetSyn) and cardiovascular disease (CVD) in HIV-infected subjects.2-4 Therefore, early detection of MetSyn in these subjects may be important to preventing CVD. Recent studies have reported that retinol-binding protein-4 (RBP-4) is associated with IR,5,6 dyslipidemia7 and obesity,8,9 as well as the components of MetSyn,6,7,9,10 in various non-HIV-infected populations. However, whether serum RBP-4 levels may serve as a risk marker for MetSyn in HIV-infected subjects has not been investigated. The aim of this study was to evaluate the associations between serum RBP-4 levels and MetSyn in HIV-infected subjects receiving HAART.
A cross-sectional study was performed on 98 HIV-infected Koreans at Severance Hospital, Yonsei University Medical Center. We prospectively enrolled HIV-1-infected subjects between March 2007 and March 2008. Patients were eligible if they were between 20 and 80 years old and had been receiving HAART for at least 6 months. We excluded patients who had ever taken anti-obesity medications, corticosteroids, peroxisome proliferator-activated receptor-gamma (PPAR-γ) agonists, statins or fibrates, or had a history of diabetes mellitus or CVD. This study was approved by the Institutional Review Board of the Clinical Research Institute of Severance Hospital. Written informed consent was obtained from all participants.
MetSyn was diagnosed according to the Adult Treatment Panel III criteria when three or more of the following five criteria were fulfilled: blood pressure (BP) >130/85 mm Hg or current use of anti-hypertensive drugs, fasting plasma glucose >110 mg/dL, high-density lipoprotein (HDL)-cholesterol <40 mg/dL in men or <50 mg/dL in women, triglyceride (TG) >150 mg/dL, and abdominal obesity (waist circumference >90 cm in men or >80 cm in women according to the standards of the Asia-Pacific region).11,12 LD diagnosis was based on the clinical definition set by the US Division of AIDS adverse events (2004 version), in addition to a standardized LD-specific physical examination conducted by a single clinician and a previously described LD-specific questionnaire completed by the patient.13 BP, height, weight, and waist and hip circumference were measured. Waist-to-hip ratio (WHR) and body mass index (BMI) were also calculated.
We obtained blood samples following a 12-hour overnight fast. Plasma glucose, total cholesterol, triglyceride, HDL-cholesterol, peripheral blood CD4+ T lymphocyte counts, and plasma HIV-RNA were measured using standard laboratory methods. Low-density lipoprotein-cholesterol was calculated using the Friedewald formula,14 except in patients with TG levels higher than 400 mg/dL.
Serum RBP-4 concentrations were measured using the commercially available human RBP-4 sandwich enzyme-linked immunosorbent assay kit (Immunodiagnostik AG, Bensheim, Germany). The assay was conducted according to the manufacturer's instructions. The inter-assay and intra-assay variations were 9.8% and 5%, respectively.
All statistical analyses were performed using the SPSS 13.0 software (SPSS Inc., Chicago, IL, USA). Data were expressed as means±SD, medians (interquartile range) or numbers (%). The two-tailed unpaired Student's t-test or Mann-Whitney U test was used to compare the mean or median values of continuous variables. To analyze the differences in nominal variables, we performed a chi-square test or Fisher's exact test. To identify clinical parameters associated with RBP-4, a stepwise multivariate linear regression analysis was performed for age, BMI and all variables with a p-value of less than 0.10 on an age and BMI-adjusted partial correlation analysis. p-values <0.05 were considered statistically significant.
Thirty-three (33.7%) subjects fulfilled the criteria for MetSyn. The numbers of subjects per number of MetSyn components presented, from 0 to 5, were 9, 25, 31, 18, 12 and 3 in respective numerical order. The subjects with MetSyn were older and had significantly higher BMI and WHR than subjects without MetSyn. The percentage of patients with LD was higher in the group with MetSyn (45.5% vs. 23.1%, p=0.041). Also, serum RBP-4 level was significantly higher in subjects with MetSyn (33.87±7.72 vs. 29.85±7.15 µg/mL, p=0.012) (Table 1).
Serum RBP-4 levels were significantly, positively correlated with the number of components of MetSyn presented, TG, waist circumference, WHR and BMI without adjustment. After adjustment for age and BMI, the significant correlation with serum RBP-4 levels was sustained for the number of components of MetSyn presented, TG and waist circumference. The total duration of HAART and known duration of HIV infection had no correlation with serum RBP-4 levels (Table 2). Subjects that presented with 3 or 4 components of MetSyn demonstrated significantly higher serum RBP-4 levels than subjects that presented with none or only 1 component of MetSyn (Fig. 1). In stepwise multivariate linear regression analysis, we identified the number of components of MetSyn and waist circumference as the variables most strongly associated with RBP-4 (Table 2).
Metabolic and body fat abnormalities are common side-effects in HIV-infected subjects receiving HAART, and several reports have suggested that these subjects also involve an increased risk of CVD.15,16 Although the mechanism is not completely understood, adipocytokines such as adiponectin and leptin might contribute to the clinical features of this condition.17 Adipose tissue is considered to be an endocrine organ, and the hormonal alterations caused by changes in body fat may play an important role in metabolic abnormalities in HIV-infected subjects receiving HAART.17 Therefore, we investigated the relationship between serum levels of RBP-4, an adipocytokine, and MetSyn in HIV-infected subjects receiving HAART.
In this study, elevated serum RBP-4 levels were associated with a higher risk of MetSyn in HIV-infected subjects receiving HAART. We also found a strong correlation between serum RBP-4 levels and the number of components of MetSyn, in particular, its key components, including TG and waist circumference. This significant correlation was not attenuated after adjustment for age and BMI, which are known to be related to the prevalence of MetSyn.18,19 We also noted an increased prevalence of LD in HIV-infected subjects with MetSyn. These findings suggest a potential role for serum RBP-4 as a diagnostic marker for early detection of metabolic complications in HIV-infected subjects receiving HAART. To our knowledge, this is the first study to evaluate the relationship between serum RBP-4 levels and the presence of MetSyn in HIV-infected subjects. However, we did not compare serum RBP-4 levels between HIV-infected subjects receiving HAART without MetSyn and non-HIV-infected healthy individuals without MetSyn, in this study. In addition, we did not measure serum RBP-4 levels in the HIV-infected individuals who have never received HAART (treatment-naïve individuals). Therefore, there may be the possibility that neither HIV infection itself nor HAART have any impact on the association between RBP-4 and MetSyn. Further study with the aforementioned study design and a larger sample set is needed to evaluate whether serum RBP-4 levels are useful as diagnostic markers for MetSyn and/or predictive factors for the development of MetSyn or CVD in HIV-infected subjects receiving HAART, as well as to reveal the exact mechanism or causality for the relationship between RBP-4 and MetSyn in HIV-infected subjects. Because serum RBP-4 levels may be a useful marker for MetSyn and the measurement of serum RBP-4 levels is not difficult, it could allow clinicians and scientists to readily collect valuable information on metabolic complications in HIV-infected subjects receiving HAART.

Figures and Tables

Fig. 1
Serum RBP-4 levels according to the number of components of metabolic syndrome present in HIV-infected subjects receiving HAART. The middle lines of the box plots indicate median values and the boundaries of the box signify the upper and lower quartiles. MetSyn, metabolic syndrome; RBP-4, retinol-binding protein-4; HAART, highly active antiretroviral therapy.
ymj-53-1211-g001
Table 1
Characteristics of the Study Participants and Groups according to the Presence of Metabolic Syndrome
ymj-53-1211-i001

MetSyn, metabolic syndrome; BP, blood pressure; BMI, body mass index; WHR, waist-to-hip ratio; HAART, highly active antiretroviral therapy; HDL, high-density lipoprotein; RBP-4, retinol-binding protein-4; LDL, low-density lipoprotein.

Results are expressed as mean±SD, median (interquartile range) or n (%).

Antiretroviral drugs which had been administered for at least 6 months until the measurement of serum RBP-4 levels [n (% of 98 subjects)]: nucleoside analogue reverse transcriptase inhibitor, zidovudine 43 (43.9), lamivudine 98 (100), stavudine 17 (17.3), didanosine 32 (32.7), abacavir 10 (10.2); non-nucleoside analogue reverse transcriptase inhibitor, efavirenz 30 (30.6); protease inhibitor, ritonavir-boosted lopinavir 50 (51.0), unboosted atazanavir 12 (12.2), unboosted nelfinavir 4 (4.1), unboosted indinavir 2 (2.0).

*Independent two sample t-test.

Fisher's exact test.

Mann-Whitney U test.

§Pearson chi-square.

Less than 40 copies/mL.

Table 2
Correlation between Serum RBP-4 Levels and Covariates
ymj-53-1211-i002

MetSyn, metabolic syndrome; BP, blood pressure; WHR, waist-to-hip ratio; BMI, body mass index; HAART, highly active antiretroviral therapy; NI, not included in the multivariate model; EX, excluded variables in the multivariate model; RBP-4, retinol-binding protein-4; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

*Independent variables included in the multivariate model were age, BMI and all variables with a p-value of less than 0.10 on an age and BMI-adjusted partial correlation analysis. In this model, the cut-off level of the probability of F value used for the entry or removal of successively entered variables was 0.05 and 0.10, respectively.

Logarithmic transformation was performed because of a skewed distribution.

ACKNOWLEDGEMENTS

This study was approved by the Institutional Review Board of the Clinical Research Institute of the Severance Hospital. Written informed consent was obtained from all participants.

Notes

The authors have no financial conflicts of interest.

References

1. Barbaro G. Highly active antiretroviral therapy-associated metabolic syndrome: pathogenesis and cardiovascular risk. Am J Ther. 2006. 13:248–260.
crossref
2. Bonfanti P, Giannattasio C, Ricci E, Facchetti R, Rosella E, Franzetti M, et al. HIV and metabolic syndrome: a comparison with the general population. J Acquir Immune Defic Syndr. 2007. 45:426–431.
3. Estrada V, Martínez-Larrad MT, González-Sánchez JL, de Villar NG, Zabena C, Fernández C, et al. Lipodystrophy and metabolic syndrome in HIV-infected patients treated with antiretroviral therapy. Metabolism. 2006. 55:940–945.
crossref
4. Grinspoon S, Carr A. Cardiovascular risk and body-fat abnormalities in HIV-infected adults. N Engl J Med. 2005. 352:48–62.
crossref
5. Cho YM, Youn BS, Lee H, Lee N, Min SS, Kwak SH, et al. Plasma retinol-binding protein-4 concentrations are elevated in human subjects with impaired glucose tolerance and type 2 diabetes. Diabetes Care. 2006. 29:2457–2461.
crossref
6. Graham TE, Yang Q, Blüher M, Hammarstedt A, Ciaraldi TP, Henry RR, et al. Retinol-binding protein 4 and insulin resistance in lean, obese, and diabetic subjects. N Engl J Med. 2006. 354:2552–2563.
crossref
7. von Eynatten M, Lepper PM, Liu D, Lang K, Baumann M, Nawroth PP, et al. Retinol-binding protein 4 is associated with components of the metabolic syndrome, but not with insulin resistance, in men with type 2 diabetes or coronary artery disease. Diabetologia. 2007. 50:1930–1937.
crossref
8. Lee JW, Im JA, Lee HR, Shim JY, Youn BS, Lee DC. Visceral adiposity is associated with serum retinol binding protein-4 levels in healthy women. Obesity (Silver Spring). 2007. 15:2225–2232.
crossref
9. Aeberli I, Biebinger R, Lehmann R, L'allemand D, Spinas GA, Zimmermann MB. Serum retinol-binding protein 4 concentration and its ratio to serum retinol are associated with obesity and metabolic syndrome components in children. J Clin Endocrinol Metab. 2007. 92:4359–4365.
crossref
10. Qi Q, Yu Z, Ye X, Zhao F, Huang P, Hu FB, et al. Elevated retinol-binding protein 4 levels are associated with metabolic syndrome in Chinese people. J Clin Endocrinol Metab. 2007. 92:4827–4834.
crossref
11. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002. 106:3143–3421.
12. Fan JG, Peng YD. Metabolic syndrome and non-alcoholic fatty liver disease: Asian definitions and Asian studies. Hepatobiliary Pancreat Dis Int. 2007. 6:572–578.
13. National Institutes of Health. Division of AIDS (DAIDS) revised toxicity tables for grading severity of adult and pediatric adverse experiences, US National Institutes of Health DAIDS HIV Vaccine and Research Program, Version 1.0. 2004. 12. Washington, DC: Available at http://rsc.tech-res.com/safetyandpharmacovigilance/gradingtables.aspx.
14. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972. 18:499–502.
crossref
15. Bozzette SA, Ake CF, Tam HK, Chang SW, Louis TA. Cardiovascular and cerebrovascular events in patients treated for human immunodeficiency virus infection. N Engl J Med. 2003. 348:702–710.
crossref
16. Mary-Krause M, Cotte L, Simon A, Partisani M, Costagliola D. Clinical Epidemiology Group from the French Hospital Database. Increased risk of myocardial infarction with duration of protease inhibitor therapy in HIV-infected men. AIDS. 2003. 17:2479–2486.
crossref
17. Sweeney LL, Brennan AM, Mantzoros CS. The role of adipokines in relation to HIV lipodystrophy. AIDS. 2007. 21:895–904.
crossref
18. Kolovou GD, Anagnostopoulou KK, Salpea KD, Mikhailidis DP. The prevalence of metabolic syndrome in various populations. Am J Med Sci. 2007. 333:362–371.
crossref
19. Niwa Y, Ishikawa S, Gotoh T, Kayaba K, Nakamura Y, Kajii E. Metabolic syndrome mortality in a population-based cohort study: Jichi Medical School (JMS) Cohort Study. J Epidemiol. 2007. 17:203–209.
crossref
TOOLS
Similar articles