Skip to main content

Predictive effects of body mass index on immune reconstitution among HIV-infected HAART users in China



Body mass index (BMI) may contribute somewhat to drug metabolism, and thus affecting the efficacy of highly active antiretroviral therapy (HAART). This study aimed to determine the frequencies of underweight, normal and overweight/obesity at pre-HAART in a large cohort of HIV-infected Chinese patients, and investigate the prospective effects of BMI on immune reconstitution after HAART initiation.


A longitudinal cohort study was performed to analyze the effects of BMI on immune reconstitution in HIV-infected patients treated with HAART. Multiple linear regression was used to evaluate the relationship between baseline BMI and increased CD4+ T lymphocyte levels at 12 and 30 months after initiating HAART. In addition, Cox proportional hazard model was used to assess the relationship between BMI and time to achieve immunologic reconstitution (CD4+ T lymphocytes>500cells/μL) during the follow-up period.


Among the 1612 enrolled patients, 283 (17.6%) were overweight/obese (BMI ≥ 25 kg/m2), 173 (10.7%) were underweight (BMI < 18.5 kg/m2) and the remaining were normal weight. Prior to HAART initiating, overweight HIV-infected patients were mostly males, older ages, exhibited higher CD4+ T lymphocytes and lower viral loads (p < 0.01 for all). Patients with higher baseline BMI had an independently positive effect on 30-month CD4+ T lymphocyte recovery (p = 0.028), but not 12-month CD4+ T lymphocyte gain (p = 0.104). In addition, a Cox proportional hazard model with baseline BMI as an independent variable indicated that BMI was correlated with an increased likelihood of achieving immunologic reconstitution over time (hazard ratios [HR] 1.03; 95% confidence intervals [CI] 1.01–1.06; p = 0.011), after adjusting for baseline age, gender, CD4+ T lymphocytes, CD4/CD8 ratio, viral load and WHO stage.


Higher baseline BMI could predict better immune reconstitution in HIV-infected patients after HAART initiating.

Peer Review reports


Body mass index (BMI) is a critical indicator of nutritional status in patients with human immunodeficiency virus (HIV) infection. The World Health Organization (WHO) has recommended the following categories based on BMI values: underweight (< 18.5 kg/m2); normal (18.5–24.9 kg/m2); overweight (25–29.9 kg/m2); obese (30–39.9 kg/m2) and morbidly obese (≥40 kg/m2). Emaciation is a common condition during the early period of HIV epidemic. However, with the emergence of highly active antiretroviral therapy (HAART), the frequency of overweight/obesity has risen considerably [1, 2]. For instance, a study in an urban cohort of HIV-infected patients has demonstrated that 45% of that population is overweight/obese, which may be more prevalent than wasting [3].

Typically, obesity can increase the risk of numerous deleterious health consequences in general populations, including hypertension, coronary artery disease, myocardial infarction, diabetes and stroke [4, 5]. In the pre-HAART era, obesity has been associated with delayed disease progression among HIV-infected patients [6, 7]. However, the effects of BMI on immune reconstitution after initiating HAART remain inconsistent. Several studies have reported a comparable immune status among HIV-infected patients under normal, overweight, and obese categories, and higher BMI is not correlated with immunological and viral responses to antiretroviral therapy [8]. In contrast, other reports suggest that the immune reconstitution induced by HAART is often greatest among subjects classified as overweight [9, 10], and there is some evidence that a higher BMI is associated with more robust CD4+ T-cell recovery in HAART-treated patients [11]. Besides, a study discovered that following HAART, obese HIV-infected patients acquired fewer CD4+ T lymphocytes compared to normal weight HIV-infected patients, indicating that the potentially adverse immune response is associated with excess weight [6].

Most of the aforementioned studies are conducted in Western countries. Indeed, Wang et al. [12] suggest that Asians possess lower mean BMI but higher body fat percentage than Caucasians of the same age and gender. Nonetheless, the dosages of antiretroviral drugs used for treating our HIV-infected Asian patients were the same as those used by Caucasians. To date, studies on the clinical characteristics and efficacy of antiretroviral therapy among underweight, normal and overweight/obese HIV-infected adult populations in China are relatively limited. Therefore, this study aimed to assess the frequencies of underweight, normal and overweight/obesity at baseline (pre-HAART) in a large cohort of HIV-infected Chinese patients. In addition, the effects of baseline BMI on HIV prognosis were investigated by measuring CD4+ T lymphocyte levels during routine medical care after HAART initiation.


HIV subjects

A retrospective observational cohort study was conducted on adult patients enrolling in care at the HIV Clinic of the 1st Affiliated Hospital of China Medical University, Shenyang. Patients with HIV-seropositive test results were eligible for this study. The study cohort included HAART-naïve patients who initiated HAART between 2004 and 2016, and underwent follow-up examinations for up to 120 months during antiretroviral therapy. Written informed consent was obtained from all participants prior to enrollment.

Data collection

At initial clinic visit before treatment, a detailed questionnaire was specifically designed to collect the demographic, clinical and socioeconomic data from all participants, including height, weight, age at HAART initiation, gender, clinical symptoms, history of AIDS-defining events and drug combinations. Other recorded variables were included race (Han and non-Han), alcohol use, tobacco smoking, transmission route (homosexual transmission, heterosexual transmission, injection drug use [IDU], transfusion or other), marital status (single, married/partnered, divorced/separated or widowed) and educational background.

In addition, all patients underwent a complete physical examination and laboratory testing such as cytometry, fasting blood lipids, CD4+ T lymphocytes, HIV-RNA viral load, and co-infection with tuberculosis and hepatitis B/C virus. According to the WHO clinical staging system for HIV/AIDS, the patients were classified as Stage I to IV, depending on their specific clinical conditions and symptoms that reflect disease progression from primary HIV infection to advanced AIDS. Stage IV was characterized by severe opportunistic infection and/or a CD4+ T lymphocyte count of less than 200cells/μL.

After initiating antiretroviral therapy, the patients attended follow-up visits every 3 months during the first year after starting HAART, and then the frequencies of follow-up were reduced to 6-month intervals. Biological specimens were collected during each follow-up visit for routine examination, immunological and viral assays, in order to evaluate adverse events (AEs) and therapeutic effects. All data obtained from patients’ medical records were entered into an electronic database.

Measurements of BMI and HIV-RNA

The weight of all patients was objectively measured in the morning after fasting for more than 6 h. BMI was calculated by dividing weight in kilograms by height in meters squared (kg/m2), and categorized according to above-mentioned WHO guidelines.

An internationally accredited Roche TaqMan viral load method was used to measure and quantify HIV-RNA, which exhibited excellent stability, high sensitivity and low detection limit (20copies/mL). At present, the most commonly used definition of virologic suppression is less than 400copies/mL in most areas of China.

Statistical analysis

Wilcoxon rank sum test (continuous variables) or χ2 test (discrete variables) was used to compare the differences in demographic and clinical characteristics of HIV patients across different BMI categories. The continuous variables were summarized as medians (inter quartile range [IQR]). Logistic regression models were used to identify the factors that contribute to undetectable viral load (HIV-RNA < 400copies/mL) within 3–6 months after initiating HAART. Besides, univariable and multivariable linear regression (enter) were performed to assess the relationship between the baseline variables, including BMI and CD4+ T cell increase at 12 and 30 months. Viral suppression has been hypothesized to have potential effects on the elevated levels of CD4+ T lymphocytes, and thus virologic failure was incorporated into the model. Patients who did not achieve an viral suppression (HIV-RNA < 400copies/mL) within the first 3–6 months after HAART, or with a plasma HIV-RNA level of greater than or equal to 400copies/mL for two successive censor after achieving <400copies/mL were considered as virologic failure. All variables with p-value< 0.2 in the univariate model were included into the multivariate analysis.

Cox proportional hazard model was used to compare hazard ratios (HR) on time to events of immune reconstitution outcomes, with BMI as a continuous variable. The primary outcome measure was time to first occurrence of achieving more than 500cells/μL CD4+ T lymphocytes during the entire course of this study. The event was documented from the date of initial inclusion to the date of the visit in which the event was recorded. The model was adjusted by age, gender, CD4+ T lymphocytes, HIV-RNA viral load and WHO stage at pre-HAART.

All statistical analyses were performed using SPSS version 18.0 (IBM Corp., Armonk, NY, USA). P values of less than 0.05 were considered statistically significant.


Cross-sectional analysis: relationship of demographics and clinical characteristics with different BMI categories prior to HAART initiation

This study included 1612 eligible HIV-infected patients, of whom 173 (10.7%) were underweight, 1156 (71.7%) were normal weight, 256 (15.9%) were overweight and only 27 (1.7%) were obese. Obese and overweight patients were combined into a single group because obese cohort contained less than 2% of total patients. Demographic characteristics are presented according to BMI strata. Overweight patients were older than underweight and normal weight patients (p < 0.01), with median ages of 29, 32 and 35, respectively. Most of the subjects were male (94.2%), while female patients, comprising 5.8% of the cohort, were more likely to be underweight compared to male patients (p = 0.004). However, the marital status, educational levels and history of excessive ethanol and smoking did not remarkably differ across BMI groups. The majority of the participants (86.4%) were Han Chinese, and BMI groups did not differ significantly by ethnic group (p = 0.613). The association between hepatitis B/C virus serostatus and BMI categories could not be investigated, due to their low overall prevalence rates (< 5% for both subtypes). Besides, the history of AIDS-defining event and tuberculosis co-infection were most frequent (p < 0.01) in the underweight HIV-infected patient group (Table 1). An AIDS-defining event was defined as the occurrence of a serious opportunistic infection, including pneumocystis carinii pneumonia (PCP), Kaposi’s sarcoma, oesophageal candidiasis, cytomegalovirus, wasting syndrome, lymphoma, atypical mycobacteria and various presumptive infections. In addition, the frequency of advanced HIV infection (Stage IV) was significantly higher (p < 0.01) in underweight group than in the other two BMI groups.

Table 1 Cohort Demographic and Clinical Characteristics stratified by body mass index prior to HAART introduction

The results of laboratory examinations demonstrated that underweight patients exhibited significantly lower levels of nutritional markers, such as haemoglobin (p < 0.01). On the contrary, the levels of total cholesterol, triglyceride and glucose tended to be increased with increasing BMI category (p < 0.01 for all). Regarding the baseline laboratory markers of HIV infection, underweight HIV-infected patients were found to have modestly higher viral loads (p = 0.002) than normal and overweight/obese groups. Likewise, prior to HAART initiation, the baseline mean CD4+ T lymphocyte counts and CD4/CD8 ratios of overweight/obese groups were significantly higher (p < 0.01) compared to normal and underweight groups, suggesting that the immune status of overweight/obese HIV-infected patients is comparatively better than the other two BMI groups.

Longitudinal analysis: association of baseline BMI with immune reconstitution after HAART

Following HAART initiation, the relationship between BMI and immune reconstitution was assessed. The median duration and regimen of HAART did not differ significantly among the three BMI groups (p = 0.945 and p = 0.122, respectively). Only a small number of patients were followed for more than 5 years. Beyond that, the CD4+ T lymphocytes and CD4/CD8 ratio of HIV-infected subjects often continued to increase during the first 5-year period after HAART initiation, and the fastest rise in these values occurred within the first 12 months. In addition, during the first 5-year period after treatment, the mean CD4+ T lymphocytes and CD4/CD8 ratio differed among the three BMI groups, the greater values of BMI appeared persistently related to higher mean CD4+ T lymphocyte levels and CD4/CD8 ratios (Fig.1). The data of CD4+ T lymphocytes at 12 and 30 months were available for 1454 (90.2%) and 830 (51.5%) patients, respectively. Notably, CD4+ T cell counts at 12 and 30 months had increased from baseline in 1337 and 784 patients, respectively. Multiple linear regression analysis was performed to evaluate the independent factors associated with increased CD4+ T lymphocyte at both 12 and 30 months. The results showed that baseline BMI was independently predictive of 30-month CD4+ T lymphocyte gain (β = 3.43; 95% confidence intervals [CI] 0.36–6.49; p = 0.028) after adjusting for age, gender, baseline CD4+ T lymphocyte count, CD4/CD8 ratio, and WHO stage (Table 2). However, BMI was not significantly correlated with 12-month CD4+ T lymphocyte increase (p = 0.104).

Fig. 1

Mean CD4+ T lymphocytes and CD4/CD8 ratio over time on HAART stratified by body mass index

Table 2 Univariable and multivariable linear regression model of CD4+ T lymphocytes recovery at different time points after antiretroviral therapy initiation

During the follow-up period, among 1561 patients with <500cells/μL CD4+ T lymphocytes at pre-treatment, 750 (48.0%) met the criteria for the primary end point of CD4+ T cell reconstitution during follow-up. A Cox proportional hazard model with continuous BMI as an independent covariate revealed that higher BMI was associated with an increased likelihood of achieving immunologic reconstitution (CD4 > 500cells/μL) after adjusting for age, gender, baseline CD4+ T lymphocytes, CD4/CD8 ratio, viral load and WHO stage (HR = 1.03; 95% CI 1.01–1.06; p = 0.011) (Table 3). Furthermore, an adjusted logistic regression model with significant demographic factors indicated that baseline viral load (p < 0.01) and CD4+ T lymphocytes (p < 0.01) were the only baseline variables associated with achieving virus suppression within 3–6 months. (Data not shown).

Table 3 Effect of BMI on immune reconstitution outcome of CD4 more than 500cells/μL during the follow-up after antiretroviral therapy


The reconstitution of the immune system is an ultimate goal of HAART, but the host factors contributing to these processes remain largely uncertain. Through a large cohort of HIV-infected adults in China, we found that higher BMI at pre-treatment was associated with advantages in immune recovery over time after HAART initiation. To the best our knowledge, this is the first study to evaluate the impact of BMI on immune reconstitution in a large cohort of Chinese HIV-infected patients.

BMI is a measure of weight relative to height in order to determine body composition. Among the 1612 study participants, the baseline prevalence of overweight/obese was found to be 17.6%. Several recent studies have reported that obesity occurs in 40–60% of HIV-infected adults, whereas our data showed an obviously lower prevalence of overweight among the study participants [9, 13, 14]. These differences may be due to the influence of different dietary patterns on nutritional alterations experienced by patients suffering from HIV infection in each population. Thus, further research is needed to examine the poor nutritional status of HIV-infected patients, such as dietary habits, sleep patterns, employment status and socioeconomic conditions.

Our cross-sectional analyses highlighted significant differences in CD4+ T lymphocytes and HIV-RNA viral load among different BMI groups at baseline (pre-HAART), and the frequency of advanced HIV stage was definitely higher in the underweight group. This can be explained by previous finding that malnutrition is associated with the immune suppression of antigen-specific arms, decreased T-lymphocyte proliferation, and atrophy of lymph tissues. However, most of these studies were conducted on children populations [15,16,17]. Higher CD4+ T lymphocytes before initiating HAART has been demonstrated to predict better prognosis, and some reports emphasized that patients suffering from pre-treatment immunodeficiency or AIDS-defining conditions may have greater risks of morbidity and mortality both before and during the initial months of HAART [18]. In addition, our results showed that lower baseline HIV-RNA viral loads were associated with achieving virus suppression after 3–6 months of treatment. Thus we propose that higher baseline HIV-1 RNA levels in the underweight strata of our cohort may contribute to the delayed interval before virus inhibition.

Furthermore, higher BMI at pre-HAART was independently related to 30-month increase of CD4+ T lymphocytes and a greater possibility of immune reconstitution (more than 500cells/μL of CD4+ T lymphocytes) during the follow-up period. These findings are somewhat consistent with those reported by Johnson et al [10, 19] that higher BMI predicts greater increases in the amounts of CD4+ T lymphocytes after HAART initiation. To date, the physiological mechanisms linking BMI to the increases of peripheral CD4+ T lymphocytes in HIV-infected patients on HAART remain largely unknown. Several recent studies have shown that obese HIV-negative adults possess higher CD4+ T lymphocytes and CD4/CD8 ratio compared to under or normal weight adults [20, 21]. These phenomena may be explained by the observations that BMI (stratified by obese, overweight and normal) was positively associated with the serum levels of leptin, an adipocyte-derived hormone that influences body weight [22]. Leptin can play an essential role in the immune response to HIV infection by increasing CD4+ T lymphocyte levels, due to the fact that leptin supplementation is associated with CD4+ T lymphocyte proliferation in humans [23, 24]. However, other factors may also affect immunologic reconstitution in patients receiving HAART, such as thymic size and persistent immune activation [25, 26]. Thus, we can surmise that BMI has the potential to play a positive role in controlling immune reconstitution in response to HAART. Moreover, Huang et al. have highlighted that HIV disease progression is more rapid in Chinese men who have sex with men (MSM) than those experienced by MSM in resource-rich settings [27]. Therefore, the strengths of this study not only emphasize that BMI is an easily obtained surveillance indicator predictive of HIV-related health outcomes in some remote areas, but also provide an interesting hypothesis regarding the association between metabolic and immunological cross talks. In the context of HIV-1 infection, metabolism is intimately involved in the regulation and physiology of immune cells, which may represent a mechanistic pathway with therapeutic potential, particularly for underweight patients with poor immune reconstitution in response to HAART. In this study, CD4+ T cell counts significantly rose over a 5-year period after initiating HAART, with the rapidest growth observed during the first year of treatment. These findings were in agreement with some previous reports [28, 29]. In the present study, the baseline BMI was independently related to a greater probability of higher CD4 counts (more than 500cells/μL) and a 30-month increase of CD4+ T lymphocytes, indicating that BMI may predict immune reconstitution in response to HAART after a sufficiently long period of time. In addition, there is evidence suggesting that patients categorized early as having a suboptimal CD4 response may achieve later improvement in CD4 cells over time with continued HAART [30].

The percentage of overweight/obese patients (17.6%) found in this study was comparable to the 17.1% of overweight/obese men and 14.4% of overweight/obese women observed in the general Chinese population. A previous study reported that the obesity rates exhibit an increasing trend from 1993 to 2009 [31]. Thus, it is reasonable to predict that the frequency of overweight/obese HIV-infected patients is continuously increasing, probably due to better access to food and transition to modern sedentary lifestyles. Obesity is associated with an increased risk of diabetes mellitus and cardiovascular disease among HIV-uninfected individuals [32], but each unit increase in BMI may have a more profound effect against the risk of diabetes in HIV-infected patients compared to HIV-uninfected subjects [33, 34]. In contrast, obesity does not appear to adversely affect the key cardiovascular risk factors, such as lipid profile and endothelial activity, in HIV-infected patients [35]. Besides, obesity is associated with both liver steatosis and fibrosis [36], and certain types of cancer [37] in general population. While a recent study indicates that HIV patients receiving HAART with a BMI of approximately 30 kg/m2 tend to have a lower risk of developing hepatic, renal, and oncologic diseases compared to normal BMI individuals [38].

Nevertheless, several limitations were inevitable in the present study. First, pharmacokinetic data was not collected, thus, it remained unknown whether the treatment (e.g. drug dosing) of overweight/obese patients could result in drug exposure as compared to normal weight patients. In addition, this observational study might not provide evidence of a direct causal pathway between BMI and immunologic reconstitution. Finally, time-updated BMI was not employed in this study, and therefore the issues of weight gain after HAART initiation had not been considered.


In summary, our results demonstrate that HIV-infected patients with higher BMI at pre-treatment exhibit better immune reconstitution over time after HAART initiation. Therefore, we should pay more attention to the weight of HIV-infected patients before initiating HAART, in order to predict the immunologic responses to therapy; but that does not imply that overweight patients should be clinically neglected. Future studies are warranted to understand the causal mechanisms underlying the association between BMI, body composition and immune reconstitution in HIV-infected patients, especially via the role of metabolism in regulating immune cell responses.



Adverse events


Body mass index


Confidence intervals


Highly active antiretroviral therapy


Human immunodeficiency virus


Hazard ratios


Injection drug use


Inter Quartile Range


Men who have sex with men


Pneumocystis Carinii Pneumonia


World Health Organization


  1. 1.

    Mankal PK, Kotler DP. From wasting to obesity, changes in nutritional concerns in HIV/AIDS. Endocrinol Metab Clin N Am. 2014;43(3):647–63.

    Article  Google Scholar 

  2. 2.

    Smit E, Skolasky RL, Dobs AS, et al. Changes in the incidence and predictors of wasting syndrome related to human immunodeficiency virus infection, 1987-1999. Am J Epidemiol. 2002;156(3):211–8.

    Article  PubMed  Google Scholar 

  3. 3.

    Amorosa V, Synnestvedt M, Gross R, et al. A tale of 2 epidemics: the intersection between obesity and HIV infection in Philadelphia. J Acquir Immune Defic Syndr. 2005;39(5):557–61.

    PubMed  Google Scholar 

  4. 4.

    Bray GA. Medical consequences of obesity. J Clin Endocrinol Metab. 2004;89(6):2583–9.

    CAS  Article  PubMed  Google Scholar 

  5. 5.

    Marti A, Marcos A, Martinez JA. Obesity and immune function relationships. Obes Rev. 2001;2(2):131–40.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Crum-Cianflone NF, Roediger M, Eberly LE, et al. Impact of weight on immune cell counts among HIV-infected persons. Clin Vaccine Immunol. 2011;18(6):940–6.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Martinez SS, Campa A, Bussmann H, et al. Effect of BMI and fat mass on HIV disease progression in HIV-infected, antiretroviral treatment-naive adults in Botswana. Br J Nutr. 2016;115(12):2114–21.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Tedaldi EM, Brooks JT, Weidle PJ, et al. Increased body mass index does not alter response to initial highly active antiretroviral therapy in HIV-1-infected patients. J Acquir Immune Defic Syndr. 2006;43(1):35–41.

    Article  PubMed  Google Scholar 

  9. 9.

    Koethe JR, Jenkins CA, Shepherd BE, Stinnette SE, Sterling TR. An optimal body mass index range associated with improved immune reconstitution among HIV-infected adults initiating antiretroviral therapy. Clin Infect Dis. 2011;53(9):952–60.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Johnson KD, Cai B, Duffus W, et al. Longitudinal association between BMI at diagnosis and HIV disease progression. AIDS Behav. 2014;18(11):2249–57.

    Article  PubMed  Google Scholar 

  11. 11.

    Koethe JR, Jenkins CA, Lau B, et al. Higher time-updated body mass index: association with improved CD4+ cell recovery on HIV treatment. J Acquir Immune Defic Syndr. 2016;73(2):197–204.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Wang J, Thornton JC, Russell M, Burastero S, Heymsfield S, Pierson RN Jr. Asians have lower body mass index (BMI) but higher percent body fat than do whites: comparisons of anthropometric measurements. Am J Clin Nutr. 1994;60(1):23–8.

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Taylor BS, Liang Y, Garduno LS, et al. High risk of obesity and weight gain for HIV-infected uninsured minorities. J Acquir Immune Defic Syndr. 2014;65(2):e33–40.

    Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Guadamuz TE, Lim SH, Marshal MP, Friedman MS, Stall RD, Silvestre AJ. Sexual, behavioral, and quality of life characteristics of healthy weight, overweight, and obese gay and bisexual men: findings from a prospective cohort study. Arch Sex Behav. 2012;41(2):385–9.

    Article  PubMed  Google Scholar 

  15. 15.

    Savino W. The thymus gland is a target in malnutrition. Eur J Clin Nutr. 2002;56(Suppl 3):S46–9.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Varg I, Nescakova E, Toth F, Uhrinova A, Adamkov M. Nutrition and immune system: the size of the thymus as an indicator of the newborn's nutrition status. Anthropol Anz. 2011;68(3):265–74.

    Article  PubMed  Google Scholar 

  17. 17.

    Najera O, Gonzalez C, Cortes E, Toledo G, Ortiz R. Effector T lymphocytes in well-nourished and malnourished infected children. Clin Exp Immunol. 2007;148(3):501–6.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Lawn SD, Myer L, Orrell C, Bekker LG, Wood R. Early mortality among adults accessing a community-based antiretroviral service in South Africa: implications for programme design. AIDS (London, England). 2005;19(18):2141–8.

    Article  Google Scholar 

  19. 19.

    Palermo B, Bosch RJ, Bennett K, Jacobson JM. Body mass index and CD4+ T-lymphocyte recovery in HIV-infected men with viral suppression on antiretroviral therapy. HIV Clin Trials. 2011;12(4):222–7.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Womack J, Tien PC, Feldman J, et al. Obesity and immune cell counts in women. Metab Clin Exp. 2007;56(7):998–1004.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Viardot A, Heilbronn LK, Samocha-Bonet D, Mackay F, Campbell LV, Samaras K. Obesity is associated with activated and insulin resistant immune cells. Diabetes Metab Res Rev. 2012;28(5):447–54.

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Sorensen TI, Echwald S, Holm JC. Leptin in obesity. BMJ (Clinical research ed). 1996;313(7063):953–4.

    CAS  Article  Google Scholar 

  23. 23.

    Koethe JR, Hulgan T, Niswender K. Adipose tissue and immune function: a review of evidence relevant to HIV infection. J Infect Dis. 2013;208(8):1194–201.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Kim SY, Lim JH, Choi SW, et al. Preferential effects of leptin on CD4 T cells in central and peripheral immune system are critically linked to the expression of leptin receptor. Biochem Biophys Res Commun. 2010;394(3):562–8.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Hunt PW, Martin JN, Sinclair E, et al. T cell activation is associated with lower CD4+ T cell gains in human immunodeficiency virus-infected patients with sustained viral suppression during antiretroviral therapy. J Infect Dis. 2003;187(10):1534–43.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Smith KY, Valdez H, Landay A, et al. Thymic size and lymphocyte restoration in patients with human immunodeficiency virus infection after 48 weeks of zidovudine, lamivudine, and ritonavir therapy. J Infect Dis. 2000;181(1):141–7.

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    Huang X, Lodi S, Fox Z, et al. Rate of CD4 decline and HIV-RNA change following HIV seroconversion in men who have sex with men: a comparison between the Beijing PRIMO and CASCADE cohorts. J Acquir Immune Defic Syndr. 2013;62(4):441–6.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Mocroft A, Phillips AN, Gatell J, et al. Normalisation of CD4 counts in patients with HIV-1 infection and maximum virological suppression who are taking combination antiretroviral therapy: an observational cohort study. Lancet (London, England). 2007;370(9585):407–13.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    He L, Pan X, Dou Z, et al. The factors related to CD4+ T-cell recovery and viral suppression in patients who have low CD4+ T cell counts at the initiation of HAART: a retrospective study of the national HIV treatment sub-database of Zhejiang Province, China, 2014. PLoS One. 2016;11(2):e0148915.

    Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Gilson RJ, Man SL, Copas A, et al. Discordant responses on starting highly active antiretroviral therapy: suboptimal CD4 increases despite early viral suppression in the UK collaborative HIV cohort (UK CHIC) study. HIV medicine. 2010;11(2):152–60.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Xi B, Liang Y, He T, et al. Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993-2009. Obes Rev. 2012;13(3):287–96.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Bays HE, Chapman RH, Grandy S. The relationship of body mass index to diabetes mellitus, hypertension and dyslipidaemia: comparison of data from two national surveys. Int J Clin Pract. 2007;61(5):737–47.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Butt AA, McGinnis K, Rodriguez-Barradas MC, et al. HIV infection and the risk of diabetes mellitus. AIDS. 2009;23(10):1227–34.

    Article  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Capeau J, Bouteloup V, Katlama C, et al. Ten-year diabetes incidence in 1046 HIV-infected patients started on a combination antiretroviral treatment. AIDS. 2012;26(3):303–14.

    CAS  Article  PubMed  Google Scholar 

  35. 35.

    Koethe JR, Grome H, Jenkins CA, Kalams SA, Sterling TR. The metabolic and cardiovascular consequences of obesity in persons with HIV on long-term antiretroviral therapy. AIDS. 2016;30(1):83–91.

    CAS  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Huh JH, Kim KJ, Kim SU, et al. Obesity is more closely related with hepatic steatosis and fibrosis measured by transient elastography than metabolic health status. Metab Clin Exp. 2017;66:23–31.

    CAS  Article  PubMed  Google Scholar 

  37. 37.

    Renehan AG, Tyson M, Egger M, Heller RF, Zwahlen M. Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet. 2008;371(9612):569–78.

    Article  Google Scholar 

  38. 38.

    Koethe JR, Jenkins CA, Turner M, et al. Body mass index and the risk of incident noncommunicable diseases after starting antiretroviral therapy. HIV medicine. 2015;16(1):67–72.

    CAS  Article  PubMed  Google Scholar 

Download references


The authors wish to thank the fellows at NHC Key Laboratory of AIDS Immunology of The First Affiliated Hospital-China Medical University, and all the patients who participated in the study.


This work was supported by grants from Mega-Projects of National Science Research for the 13th Five-Year Plan (2017ZX10201101). The funders had no role in the study design, data collection, data analysis, data interpretation or write up of the manuscript.

Availability of data and materials

All original data analyzed during this study are not yet publicly available as the patients are still undergoing follow up and data analysis of the cohort has not been completed, but can be made available from the corresponding author on reasonable request.

Author information




Study design: XLL, WQG, HBD, HS, YJJ. Data and specimen collection: JL. Data analysis: XLL, JJX, ZNZ. Writing: XLL, HS. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Hong Shang.

Ethics declarations

Authors’ information

Xiaolin Li, Haibo Ding, and Jing Liu mainly engage in the treatment and management of HIV-infected patients; Zining Zhang, Wenqing Geng, Yongjun Jiang and Hong Shang have an in-depth study on the immunology and virology of AIDS; Junjie Xu is engaged in epidemiological survey of AIDS.

Ethics approval and consent to participate

This study was approved by Ethics Committee of The First Affiliated Hospital of China Medical University. All participants signed informed consent statements.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Li, X., Ding, H., Geng, W. et al. Predictive effects of body mass index on immune reconstitution among HIV-infected HAART users in China. BMC Infect Dis 19, 373 (2019).

Download citation


  • HIV
  • Antiretroviral therapy
  • Body mass index
  • China
  • Immune reconstitution