HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Abstract Full Text (PDF) Purchase Article View Shopping Cart Alert me when this article is cited Alert me if a correction is posted Citation Map Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by McDermott, A. Y. Articles by Gorbach, S. Search for Related Content PubMed PubMed Citation Articles by McDermott, A. Y. Articles by Gorbach, S. Agricola Articles by McDermott, A. Y. Articles by Gorbach, S.

Effect of highly active antiretroviral therapy on fat, lean, and bone mass in HIV-seropositive men and women^1,2,3

¹ From the Department of Family Medicine and Community Health, Boston; the Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Boston; and the Department of Medicine, New England Medical Center, Boston.

² Supported by NIDDK grant P01-DK45734, the General Clinical Research Center funded by the National Center for Research Resources of the NIH (grant M01-RR00054), and the Boston Obesity Nutrition Research Center (grant NIDDK-P30-DK46200).

³ Address reprint requests to AY McDermott, Nutrition, Exercise Physiology and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, 711 Washington Street, Boston, MA 02111. E-mail: amcdermott{at}hnrc.tufts.edu.

	ABSTRACT

TOP ABSTRACT INTRODUCTION SUBJECTS AND METHODS RESULTS DISCUSSION REFERENCES

 
Background: Alterations in body composition have been reported in HIV-positive adults receiving highly active antiretroviral therapy (HAART), but the magnitude and potential determinants of these changes are unclear.

Objective: We compared total and regional body composition, as measured by dual-energy X-ray absorptiometry, in 203 HIV-positive men and 62 HIV-positive women according to HAART.

Design: This was a cross-sectional analysis of a cohort study of nutrition and HIV infection.

Results: After adjustment for age, weight, race, and exercise habits, total weight and fat mass did not differ significantly in men or women by HAART. Trunk fat was greater in men (1.0 kg; P < 0.001) and women (1.4 kg; P = 0.005) and leg fat was lower in men (-1.0 kg; P < 0.001) and women (-1.5 kg, P = 0.005) receiving HAART than in those not. This corresponded to a greater percentage of total fat mass located in the trunk (men: 7.5%, P < 0.001; women: 5.1%, P = 0.02). Lean mass was also greater with longer duration of HAART in men (P < 0.002). In men receiving HAART, total and regional bone mineral content were less than in the men not receiving HAART (P < 0.001). These effects increased with longer duration of HAART. Protease inhibitors were associated with the largest differences in regional fat.

Conclusions: HAART is associated with redistribution of fat mass from the legs to the trunk, despite no significant differences in total fat mass or weight. In men, HAART is also associated with a reduction in bone mineral content, suggesting that HAART increases the risk of central obesity and osteoporosis.

Key Words: HIV • human immunodeficiency virus • highly active antiretroviral therapy • HAART • dual-energy X-ray absorptiometry • protease inhibitors • nucleoside reverse transcriptase inhibitors • lipodystrophy • fat redistribution • lean body mass • fat mass • bone mineral content • osteopenia • osteoporosis

	INTRODUCTION

TOP ABSTRACT INTRODUCTION SUBJECTS AND METHODS RESULTS DISCUSSION REFERENCES

 
Historically, HIV infection has been thought to affect body composition primarily through loss of lean body mass (1–3). However, as the use of highly active antiretroviral therapy (HAART) has become widespread, many patients have reported a new phenomenon of fat redistribution, with central adiposity often accompanied by a peripheral loss of subcutaneous fat (4–6). Such changes were noted primarily in patients receiving protease inhibitor–based HAART, but not exclusively with this therapy (7–12). These changes in body shape have been described in association with every protease inhibitor, in both men and women (4, 10–17). The changes include increased abdominal adiposity, dorsocervical fat accumulation, and breast enlargement (9, 15–20). Peripheral changes include loss of subcutaneous fat in the legs, buttocks, arms, and face, and localized subcutaneous fat pockets (lipomatosis) (4, 20–22). The rate of fat redistribution is reported to differ with nucleoside regimens and to be associated with duration of HIV-positive status and duration of protease inhibitor therapy (23–27). Most studies to date were cross-sectional in design, included small sample sizes, examined white men, and measured isolated aspects of body composition.

Currently, there is considerable variation in the findings of lipodystrophy (4, 7, 9, 10, 13, 15, 23, 28, 29). The effect on whole and regional body composition (both fat and lean mass, separately and in the upper and lower extremities), the relation to HAART and its duration of use, and the relation to HIV infection itself have yet to be clarified. Information on the prevalence and severity of lipodystrophy in women is even more limited.

As early as 1993, before the advent of HAART, alterations in bone turnover and mineral content were reported in HIV-positive adults (30–32). More recently, disturbed bone formation and resorption were reported with the use of protease inhibitors or HAART (33–35; M Romeyn, J Ireland, unpublished observations, 1999). However, little is known about the long-term effects of HIV infection and HAART use on bone health.

To further investigate these questions, we examined a large, racially diverse cohort of men and women with various medication histories. With use of dual-energy X-ray absorptiometry (DXA), we studied regional differences in body composition—including fat, lean, and bone mass—in individuals receiving or not receiving HAART and specific medications. DXA is a useful method of body-composition assessment in large-scale studies because of its accuracy, availability, ease, and cost (36–39). Although this was a cross-sectional study, we also examined the effect of duration of HAART and its association with body composition.

	SUBJECTS AND METHODS

TOP ABSTRACT INTRODUCTION SUBJECTS AND METHODS RESULTS DISCUSSION REFERENCES

 
Study design
The subjects in the present study resided primarily in New England and were enrolled in a longitudinal study [Nutrition for Healthy Living (NFHL)] that began in February 1995. They were English-speaking HIV-seropositive men and women aged >18 y. Subjects were recruited through postings in hospitals, health centers, and community centers that serve the HIV-positive population; through community outreach education programs; and by participant referral. Data collection for the NFHL included interviewer-administered questionnaires to collect information about medication and health history. On enrollment in the study, medication history for the previous 12 mo was determined by patient recall. Subjects were telephoned monthly to track subsequent changes in medication and health status. Subjects were seen monthly for 2 baseline appointments, then biannually for the duration of the study. Starting in 1997, DXA scans were conducted on all subjects at specified visits. The protocol was approved by the Tufts University Human Investigation Review Committee and written, informed consent was obtained from all participants. This report is a cross-sectional analysis of all persons (n = 265) who underwent a DXA scan before July 22, 1999. If subjects had more than one DXA scan available, the earliest one was used in this study.

Testing protocol
Transverse whole-body scans were obtained by 1 of 3 validated technicians using a QDR2000 scanner (Hologic, Waltham, MA) in the array mode. DXA phantoms were scanned daily to minimize instrument drift as recommended by the manufacturer. DXA was conducted with the subject in a standard supine position, wearing a hospital gown, and after emptying his or her bladder. Data were collected in 120 pixel elements per transverse scan with a pixel size of 5 x 10 mm. Percentage fat and lean mass were derived for the whole body and for regions of interest by using whole-body software (version 7.10A) provided by the manufacturer. A series of DXA cutoff lines positioned at anatomical markers defined the regions of interest. The trunk was isolated to include the neck, chest, abdomen, and the central portion of the pelvis. Longitudinal cutoff lines positioned between the head of the humerus and scapula at the glenoid fossa isolated the arms (to include the deltoid muscles). A horizontal line positioned at the iliac crest defined the top of the pelvis, with diagonal cutoff lines below the pelvis to bisect both femoral necks and to isolate the legs (to include the upper thighs and lateral portion of the gluteus maximus). Appendicular composition was analyzed by summing the regional data from the 4 extremities.

Antiretroviral drug regimens reported at each visit were classified as HAART or non-HAART. HAART regimens included 1) 2 protease inhibitors, 2) 2 nucleoside reverse transcriptase inhibitors (NRTIs) with 1 protease inhibitor, or 3) 2 NRTIs with 1 nonnucleoside RTI (NNRTI). Determination of no antiretroviral therapy was made if the subject reported no antiretroviral therapy use in the 12 mo before entry into the NFHL study and remained antiretroviral therapy–free through the date of the DXA scan visit. History of AIDS diagnosis included a CD4 count <200 x 10³ cells/L at the time of any study visit, self-reported occurrence of any AIDS-defining illness, or AIDS diagnosis before or during NFHL participation. HIV RNA was measured with the Roche Amplicor Monitor reverse transcriptase polymerase chain reaction assay (Roche Molecular Systems, Somervillle, NJ) with a lower detection limit of 400000 copies/L. CD4⁺ lymphocyte counts were performed by using a specific monoclonal antibody and fluorescence-activated cell sorter analysis (FACScan; Becton-Dickinson, Mansfield, MA).

Statistical analysis
Patients were classified by the medication regimen reported at the time of their DXA scan. Body composition was compared by Student's t test, Kruskal-Wallis test, or chi-square test as appropriate between those reporting HAART use and those not reporting HAART. Two-factor analysis of variance determined that no interaction existed between sex and HAART use or HAART duration. Nevertheless, data for each sex were analyzed and are presented separately because of the large differences in normal body composition between men and women and because of controversy regarding differences in lipodystrophy between the sexes.

With use of general linear regression models, adjustments were made for age, participation in strength training, duration of HAART use, race, body mass index (BMI), and total body weight or total body fat, depending on the outcome of interest. The strength-training variable recorded all strength-training exercises performed in the 7 d before the DXA scan. Time per week spent strength training was also reported. All total and regional body-composition measures were adjusted for both the presence (yes or no) and duration (h/wk) of strength training, in separate models. The small number of women in this population who participated in strength training (n = 4) did not allow an effect to be determined for women. The HAART duration data were also tested with quadratic and cubic equations to check for linearity. Specific medications taken at the time of the DXA scan were also examined for effects on regional fat mass, with adjustments made for age, participation in strength training, and BMI. Amprenavir and dideoxycytadine were dropped from the analysis because of small sample sizes (n = 6 men, 2 women).

All values are presented as means ± SDs if normally distributed or as medians and interquartile ranges if not normally distributed. Results were considered significant if the 2-tailed P value was <0.05. All data were analyzed with the SYSTAT 9 statistical package (SPSS, Inc, Chicago).

	RESULTS

TOP ABSTRACT INTRODUCTION SUBJECTS AND METHODS RESULTS DISCUSSION REFERENCES

 
Two hundred three men and 62 women were included in this analysis (Table 1). The men were 3 y older on average (P < 0.001). The men had been aware of their positive HIV status for an average of 7.5 y, the women, for 6.9 y (NS). In this ethnically diverse cohort, the racial profile of the female HAART users did not differ significantly from that of the female nonusers, but white men were more likely to be receiving HAART than were nonwhite men. HIV RNA viral load and CD4 count were available in a subset of 230 subjects and did not differ significantly by HAART use. The median CD4⁺ lymphocyte counts were 350 x 10³ cells/L in men and 400 x 10³ cells/L in women, and the median HIV log₁₀ RNA values were 3.31 and 2.92 x 10³ log₁₀ copies/L, respectively; both included a wide range of values. The median BMI (in kg/m²) was 24.1 in men and 24.3 in women and did not differ by HAART use. Strength training was reported by 35% of the men and 6.5% of all women, but did not differ by HAART use. At the time of their DXA scan, 68% of men (n = 138) and 56% of women (n = 35) were receiving HAART. The mean duration of HAART use was 16.3 mo for men (median: 15.1 mo) and 11.2 mo for women (median: 10.7 mo; P = 0.003). The median duration of protease inhibitor use was 15.9 mo for men and 12.0 mo for women (P = 0.002). In men, a history of an AIDS diagnosis (including a wasting diagnosis) was more prevalent among HAART users than nonusers; this variable did not differ significantly in women.

Regional body composition
The unadjusted total and regional fat, lean, and bone mineral content values for each sex, stratified by HAART use, are shown in Table 2. Women receiving HAART tended to have more trunk fat than did women not receiving HAART (NS). Men receiving HAART had significantly less appendicular fat mass and leg fat mass than did men not receiving HAART, and less total and regional bone mineral content. When expressed as a percentage of total mass located below the head, both men and women receiving HAART had a different fat distribution pattern than did those not receiving HAART (Figure 1). Otherwise, there were no significant differences in the crude analysis in total or regional body composition by HAART use.

View larger version (18K): [in this window] [in a new window]   FIGURE 1. . Unadjusted mean (±SD) distribution of body fat in the appendages () and trunk () in HIV-positive men (n = 203) and women (n = 62) in relation to highly active antiretroviral therapy (HAART) use. P values are by t test.

Multivariate analysis of differences in lean mass
After adjustment for age, weight, height, and participation in strength training, trunk lean mass (0.8 kg; 95% CI: 0.1, 1.5 kg; P = 0.03) and leg lean mass (0.4 kg; 95% CI: -0.05, 0.9 kg; P = 0.09) tended to be greater in male HAART users than in male nonusers. However, appendicular lean mass (as the sum of arms and legs) did not differ significantly by HAART use in the men. In the women, HAART use was not associated with a significant effect on total or regional lean mass.

Multivariate analysis of differences in bone mineral content
After adjustment for age, height, weight, race, and strength training, differences in bone mineral content were evident when comparing men receiving HAART with those not receiving HAART, with less total (-179.2 g; 95% CI: -201.5, -155.9 g), trunk (-51.8 g; 95% CI: -23.2, -82.4 g), appendicular (-117.5 g; 95% CI: -168.8, -68.4 g), and leg bone mineral content (-83.1 g; 95% CI: -122.5, -45.5 g) (all P 0.001) in men receiving HAART. There were no significant differences in bone mineral content by HAART use among the women.

Effect of duration of HAART use
The self-reported duration of HAART use was associated with differences in regional fat mass, lean mass, and bone mineral content in men and regional fat mass in women (Table 3). The effect on body composition increased linearly with greater duration of treatment. Analyses of total fat mass and lean mass were adjusted for age, total body weight, height, and participation in strength training. Analysis of bone mineral content was adjusted for age, total body weight, height, race, and participation in strength training. Analyses of regional fat variables were adjusted for age, total fat mass, and participation in strength training.

Lean mass
In men, total lean mass increased per month of HAART use (111.6 g/mo), including an increase in both trunk lean (55.8 g/mo) and appendicular lean (52.8 g/mo) mass (Table 3). Appendicular lean mass increases occurred in both the legs (40.2 g/mo) and arms (12.5 g/mo). There were no significant differences in regional lean mass proportions associated with HAART duration in men. No significant differences were found in total lean body mass or the lean distribution pattern in association with treatment duration in women.

Bone mineral content
Bone mineral content decreased monthly in small, but significant, amounts from all regions of the body in men receiving HAART (Table 3). Total bone mineral content was reduced 5.7 g/month of HAART, seen in the trunk (-1.9 g/mo) and appendages (-3.7 g/mo), with legs contributing -2.7 g/mo and arms -0.9 g/mo. No significant differences were found in total or regional bone mineral content in association with HAART duration in women.

Effect of specific medications
Among HAART nonusers, specific NRTI use was not associated with regional fat mass differences in men or women, although the effects of lamivudine (3TC; n = 20) and didanosine (DDI; n = 2) on appendicular fat were nearly significant in men (Table 4). Amounts of appendicular fat were lower in men receiving each protease inhibitor–based HAART regimen than in men not receiving HAART. A similar effect size was seen with all protease inhibitors, and significant differences in trends were seen with all effects except trunk fat increases with indinavir and melfinavir. In women, only indinavir use was predictive of trunk and appendicular fat differences. Among the NNRTIs, nevirapine use was associated with less appendicular fat in men receiving HAART than in nonusers.

	DISCUSSION

TOP ABSTRACT INTRODUCTION SUBJECTS AND METHODS RESULTS DISCUSSION REFERENCES

In men receiving HAART, treatment was associated with more total and regional lean mass and less total and regional bone mineral content. To our knowledge, such opposing changes in bone content and lean mass have not been reported before. The differences were not attributable to age, weight, height, BMI, body fat, race, duration of HIV infection, or involvement in strength training. In this cohort, 35% of all men reported current strength training, which was shown previously to decrease fat and increase lean and bone mass (40). Viral load, when included in models, was not a significant predictor of differences in body composition (data not shown). Although our study was cross-sectional, the large number and variety of subjects involved, the length of time the subjects were seropositive, and the duration of treatment strengthen these conclusions.

In contrast with the subjects in several earlier studies, the subjects in the present study were not selected for weight or body-composition changes or signs or symptoms of fat redistribution or lipodystrophy. The current lack of a standard definition and criteria for lipodystrophy make comparisons between our and previous studies difficult. Nevertheless, we found that the fat distribution pattern differed significantly by HAART use. The association of fat mass and treatment duration found in our study supports the recent longitudinal and cross-sectional results reported by Carr et al (4, 23), who found duration of protease inhibitor use in men to be associated with lower total fat mass, less appendicular fat, and greater trunk fat. In contrast with our study, a recent comparison between HIV-seropositive persons receiving HAART and those studied before receiving HAART reported differences in overall body composition, but not in fat distribution patterns (29). This finding may have been due to the use of anthropometry, a less precise method than DXA.

Peripheral fat wasting may not be as apparent in women as in men because women normally have more appendicular fat. Bernasconi et al (41) reported partial lipodystrophy to be common in women, with fat atrophy of the upper body (including the face) and a sparing effect in the lower extremities. This was not the case in our female population. In the present analysis, women had twice the leg fat of men, and the absolute effect of HAART on leg fat was greater in women than in men. Because women store a greater percentage of their fat reserves in the legs, a greater amount of regional fat mass must be lost before fat wasting is clinically apparent and leg muscles or veins are prominent. However, these changes in leg fat are evident with the use of DXA.

Our results also differ from other recently published studies (29) in that the duration of HAART use was associated with increased lean mass in men. These differences in lean body mass may have been due to differences in eating habits or levels of daily activity, despite adjustment for strength training. For example, Silva et al (42) found an increased daily energy intake of 915.5 kJ/d (219 kcal/d) (P = 0.01) in a longitudinal study of adults from this cohort after they began receiving protease inhibitors. Monkemuller et al (43) reported a marked decrease in the prevalence of gastrointestinal opportunistic infections in those receiving HAART, which may result in fewer days with gastrointestinal symptoms, less limitation of energy intake, and better nutrient absorption.

We found no significant differences in trunk or appendicular fat according to specific NRTI medication use. An important feature of this analysis is that patients receiving an NRTI were compared with patients not receiving the NRTI but who were also not receiving HAART. We chose this approach to remove the potential confounding effect of HAART on the NRTI-fat association. NRTIs are components of most HAART regimens, but the question of interest was whether they themselves are associated with fat redistribution. For analyses of protease inhibitor and NNRTI use and regional fat distribution, the comparison group was also patients not receiving HAART so that the reference group was the same across the 3 drug classes.

Although mean duration of treatment was greatest with NRTI use, individual NRTIs were not associated with significant differences in either trunk or appendicular fat in men or women after adjustment for age, BMI, and strength training (Table 4). Despite other analyses suggesting that stavudine (D4T) plays a role in fat redistribution (11, 13), we did not find this to be true. It may be the combination of D4T in HAART or D4T as a marker of successful viral suppression that is associated with regional fat change. Each of the protease inhibitors, however, was associated with a similar effect on appendicular fat. Although the sample size in women was very small for each drug, the estimate of effect size was similar to those seen in the men. There was greater variability among the NNRTIs: sample sizes were small in both sexes and the estimates of effect size were probably unstable. In addition, NNRTI use is probably confounded by concurrent or previous exposure to protease inhibitors as part of HAART regimens.

Several potential limitations of this study should be considered. First, DXA was used as a compromise between more expensive imaging methods (computed tomography and magnetic resonance imaging) and less accurate assessment methods (anthropometry and bioelectrical impedance). DXA has been validated for measurement of total-body soft tissue composition of lean and fat mass in persons with HIV infection and in other populations (4, 23, 38, 39, 44–46). The use of DXA for regional analysis has several limitations, however. First, trunk image analysis by DXA is complicated by a combination of asymmetry of the visceral organs, rib bone patterns, lung tissue, air space, and respiratory motion (47). Second, in the arms, the total tissue available for analysis is relatively small, making the error proportionally large. Third, facial wasting is a commonly reported symptom of fat redistribution, but DXA does not quantify facial fat. Fourth, total body scans may have difficulty quantifying soft tissue in the neck area (another body site of reported fat abnormalities). Fifth, DXA has not been validated for regional bone mass. Nevertheless, there is no evidence that DXA is biased in persons receiving HAART.

The results of this study do not prove causality by HAART regimens. Shifts in regional body composition attributed to HAART could also be related to viral suppression, immune reconstitution, cytokine production, severity of the underlying HIV infection, self-selection for HAART continuation, and other undetermined factors. Despite multivariate adjustment, the possibility of treatment bias remains, in that those receiving HAART may have had more advanced disease. As in other studies, we cannot exclude the possibility that prior disease severity increased the risk of subsequent fat redistribution. In this study, a greater proportion of HAART users than nonusers had received a diagnosis of AIDS, although the number of years the subjects knew themselves to be HIV seropositive were similar. We also do not have information on the indication for HAART initiation, pretreatment CD4 counts, disease stage, or viral load response. This underscores the need for longitudinal studies and baseline studies before the initiation of HAART.

The mechanism of the syndrome of central adiposity remains elusive. The major emphasis in studying this syndrome has been on abdominal adiposity, but our findings suggest that peripheral fat wasting, primarily in the legs; lean mass increases; and decreases in bone mineral content are as strongly associated with HAART use in a diverse HIV-seropositive population. Thus, in future studies, it will be important to separately analyze arms and legs, as well as fat, lean, and bone mass, in the study of this syndrome.

	ACKNOWLEDGMENTS

 
We thank Susan Harris and Aviva Must for their expertise in study design and their helpful suggestions in the review of the manuscript. We are grateful for the ongoing support of the clinical staff and data management team of the Nutrition for Healthy Living project, as well as the New England Medical Center General Clinical Research Center staff.

	REFERENCES

TOP ABSTRACT INTRODUCTION SUBJECTS AND METHODS RESULTS DISCUSSION REFERENCES

 

1. Kotler DP, Tierney AR, Wang J, Pierson RN Jr. Magnitude of body-cell-mass depletion and the timing of death from wasting in AIDS. Am J Clin Nutr 1989;50:444–7.[Abstract/Free Full Text]
2. Kotler DP, Wang J, Pierson RN. Body composition studies in patients with the acquired immunodeficiency syndrome. Am J Clin Nutr 1985;42:1255–65.[Abstract/Free Full Text]
3. Ott M, Lembcke B, Fischer H, et al. Early changes of body composition in human immunodeficiency virus-infected patients: tetrapolar body impedance analysis indicates significant malnutrition. Am J Clin Nutr 1993;57:15–9.[Abstract/Free Full Text]
4. Carr A, Samaras K, Burton S, et al. A syndrome of peripheral lipodystrophy, hyperlipidaemia and insulin resistance in patients receiving HIV protease inhibitors. AIDS 1998;12:F51–8.[Medline]
5. Lipsky JJ. Abnormal fat accumulation in patients with HIV-1 infection. Lancet 1998;351:847–8.[Medline]
6. Miller KK, Daly PA, Sentochnik D, et al. Pseudo-Cushing's syndrome in human immunodeficiency virus-infected patients. Clin Infect Dis 1998;27:68–72.[Medline]
7. Saint-Marc T, Partisani M, Poizot-Martin I, et al. Fat distribution evaluated by computer tomography and metabolic abnormalities in patients undergoing antiretroviral therapy: preliminary results of the LIPOCO study. AIDS 2000;14:37–49.[Medline]
8. Galli M, Ridolfo AL, Ravasio L, et al. Cumulative time-dependent probability of developing fat tissue alterations in female patients treated with combined antiretroviral therapy. In: Program and abstracts of the 7th Conference on Retroviruses and Opportunistic Infections. Alexandria, VA: Foundation for Retrovirology and Human Growth, 2000:80 (abstr).
9. Lo JC, Mulligan K, Tai VW, Algren H, Schambelan M. "Buffalo hump" in men with HIV-1 infection. Lancet 1998;351:867–70.[Medline]
10. Engelson ES, Kotler DP, Tan Y, et al. Fat distribution in HIV-infected patients reporting truncal enlargement quantified by whole-body magnetic resonance imaging. Am J Clin Nutr 1999;69:1162–9.[Abstract/Free Full Text]
11. Galli M, Ridolfo AL, Gervasoni C, Ravasio L, Adorni F, Moroni M. Incidence of fat tissue abnormalities in protease inhibitor-naive patients treated with NRTI-combinations. Antiviral Ther 1999; 4(suppl):29 (abstr).[Medline]
12. Wanke C, Jacobsen D, Knox TA, Gorbach S. Prevalence of fat deposition and fat atrophy in a cohort of HIV-infected men and women. In: Program and abstracts of the 7th Conference on Retroviruses and Opportunistic Infections. Alexandria, VA: Foundation for Retrovirology and Human Growth, 2000:79 (abstr).
13. Gervasoni C, Ridolfo AL, Trifiro G, et al. Redistribution of body fat in HIV-infected women undergoing combined antiretroviral therapy. AIDS 1999;13:465–71.[Medline]
14. Engelson ES, Pi-Sunyer FX, Kotler DP. Effects of megestrol acetate therapy on body composition and circulating testosterone concentrations in patients with AIDS. AIDS 1995;9:1107–8 (letter).[Medline]
15. Dong KL, Bausserman LL, Flynn MM, et al. Changes in body habitus and serum lipid abnormalities in HIV-positive women on highly active antiretroviral therapy (HAART). J Acquir Immune Defic Syndr 1999;21:107–13.
16. Dong K, Flynn MM, Dickinson BP, et al. Changes in body habitus in HIV(+) women after initiation of protease inhibitor therapy. International Conference on AIDS 1998;12 (abstr 177/12373). Internet: http://www.thebody.com/confs/worldaids698/pavia3.html#177 (version current 5 September 2001).
17. Muurahainen N, Falutz J, Pettit R, et al. HIV-associated adipose redistribution syndrome (HARS); overweight patients report less lipodystrophy, more fat accumulation. In: 39th Interscience Conference on Antimicrobial Agents and Chemotherapy. Washington, DC: American Society for Microbiology, 1999:502 (abstr).
18. Roth VR, Kravcik S, Angel JB. Development of cervical fat pads following therapy with human immunodeficiency virus type 1 protease inhibitors. Clin Infect Dis 1998;27:73–5.[Medline]
19. Herry I, Bernard L, de Truchis P, Perronne C. Hypertrophy of the breasts in a patient treated with indinavir. Clin Infect Dis 1997; 25:937–8.[Medline]
20. Carr A, Cooper DA. Images in clinical medicine. Lipodystrophy associated with an HIV-protease inhibitor. N Engl J Med 1998;339:1296.[Free Full Text]
21. Carr A, Samaras K, Chisholm DJ, Cooper DA. Pathogenesis of HIV-1-protease inhibitor-associated peripheral lipodystrophy, hyperlipidaemia, and insulin resistance. Lancet 1998;351:1881–3.[Medline]
22. Hengel RL, Watts NB, Lennox JL. Benign symmetric lipomatosis associated with protease inhibitors. Lancet 1997;350:1596 (letter).
23. Carr A, Samaras K, Thorisdottir A, et al. Diagnosis, prediction, and natural course of HIV-1 protease-inhibitor-associated lipodystrophy, hyperlipidaemia, and diabetes mellitus: a cohort study. Lancet 1999; 353:2093–9.[Medline]
24. 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;13:1659–67.[Medline]
25. Polo R, Verdejo J, Gonzalez-Munoz M, et al. Lipodystrophy related to NRT inhibitors in HAART therapy. In: 39th Interscience Conference on Antimicrobial Agents and Chemotherapy. Washington, DC: American Society for Microbiology, 1999:502 (abstr).
26. Romeu J, Sirera G, Rego MJ, et al. Cumulative risk for developing hyperlipidemia in HIV-infected patients treated with protease inhibitors. In: 39th Interscience Conference on Antimicrobial Agents and Chemotherapy. Washington, DC: American Society for Microbiology, 1999:499 (abstr).
27. Martinez E, Perez B, Garcia MA, et al. Risk factors for developing lipodystrophy (LD) in patients receiving protease inhibitors (PI). In: Program and abstracts of the 7th Conference on Retroviruses and Opportunistic Infections. Alexandria, VA: Foundation for Retrovirology and Human Growth, 2000:78 (abstr).
28. Lo JC, Mulligan K, Tai VW, Algren H, Schambelan M. Body shape changes in HIV-infected patients. J Acquir Immune Defic Syndr 1998;19:307–8.
29. Kotler DP, Rosenbaum K, Wang J, Pierson RN. Studies of body composition and fat distribution in HIV-infected and control subjects. J Acquir Immune Defic Syndr 1999;20:228–37.
30. Hernandez Quero J, Ortego Centeno N, Munoz-Torres M, Martinez Perez MA, Higuera Torres-Puchol JM. Alterations in bone turnover in HIV-positive patients. Infection 1993;21:220–2.[Medline]
31. Serrano S, Marinoso ML, Soriano JC, et al. Bone remodelling in human immunodeficiency virus-1-infected patients. A histomorphometric study. Bone 1995;16:185–91.[Medline]
32. Paton NIJ, Macallan D, Griffin GE, Pazianas M. Bone mineral density in patients with human immunodeficiency virus infection. Calcif Tissue Int 1997;61:30–2.[Medline]
33. Aukrust P, Haug CJ, Ueland T, et al. Decreased bone formative and enhanced resorptive markers in human immunodeficiency virus infection: indication of normalization of the bone-remodeling process during highly active antiretroviral therapy. J Clin Endocrinol Metab 1999;84:145–50.[Abstract/Free Full Text]
34. Hoy J, Hudson J, Law M, Cooper DA, PIILR investigators. Osteopenia in a randomized, multicenter study of protease inhibitor (PI) substitution in patients with the lipodystrophy syndrome and well-controlled HIV viremia. In: Program and abstracts of the 7th Conference on Retroviruses and Opportunistic Infections. Alexandria, VA: Foundation for Retrovirology and Human Growth, 2000:114 (abstr).
35. Tebas P, Powderly WG, Claxton S, et al. Accelerated bone mineral loss in HIV-infected patients receiving potent antiretroviral therapy. In: Program and abstracts of the 7th Conference on Retroviruses and Opportunistic Infections. Alexandria, VA: Foundation for Retrovirology and Human Growth, 2000:114 (abstr).
36. Visser M, de Groot LC, Deurenberg P, van Staveren WA. Validation of dietary history method in a group of elderly women using measurements of total energy expenditure. Br J Nutr 1995;74:775–85.[Medline]
37. Prior BM, Cureton KJ, Modlesky CM, et al. In vivo validation of whole body composition estimates from dual-energy X-ray absorptiometry. J Appl Physiol 1997;83:623–30.[Abstract/Free Full Text]
38. Jensen MD, Kanaley JA, Reed JE, Sheedy PF. Measurement of abdominal and visceral fat with computed tomography and dual-energy x-ray absorptiometry. Am J Clin Nutr 1995;61:274–8.[Abstract/Free Full Text]
39. Wang W, Wang Z, Faith MS, et al. Regional skeletal muscle measurement: evaluation of new dual-energy X-ray absorptiometry model. J Appl Physiol 1999;87:1163–71.[Abstract/Free Full Text]
40. McDermott AY, Shevitz A, Knox T, Roubenoff R. The effect of strength training on body composition in HIV+ men. FASEB J 2000; 14:A487 (abstr).
41. Bernasconi E, Ridolfo A, Trifiro G, et al. Redistribution of body fat in HIV-infected women undergoing combined antiretroviral therapy. AIDS 1999;13:465–71.
42. Silva M, Skolnik PR, Gorbach SL, et al. The effect of protease inhibitors on weight and body composition in HIV-infected patients. AIDS 1998;12:1645–51.[Medline]
43. Monkemuller KE, Call SA, Lazenby AJ, Wilcox CM. Declining prevalence of opportunistic gastrointestinal disease in the era of combination antiretroviral therapy. Am J Gastroenterol 2000;95:457–62.[Medline]
44. Visser M, Fuerst T, Lang T, Salamone L, Harris TB. Validity of fan-beam dual-energy X-ray absorptiometry for measuring fat-free mass and leg muscle mass. Health, Aging, and Body Composition Study. Dual-Energy X-ray Absorptiometry and Body Composition Working Group. J Appl Physiol 1999;87:1513–20.[Abstract/Free Full Text]
45. Nelson ME, Fiatarone MA, Layne JE, et al. Analysis of body-composition techniques and models for detecting change in soft tissue with strength training. Am J Clin Nutr 1996;63:678–86.[Abstract/Free Full Text]
46. Wang ZM, Visser M, Ma R, et al. Skeletal muscle mass: evaluation of neutron activation and dual-energy X-ray absorptiometry methods. J Appl Physiol 1996;80:824–31.[Abstract/Free Full Text]
47. Roubenoff R, Kehayias JJ, Dawson-Hughes B, Heymsfield SB. Use of dual-energy x-ray absorptiometry in body-composition studies: not yet a "gold standard." Am J Clin Nutr 1993;58:589–91.[Free Full Text]

This article has been cited by other articles:

				S. Chandra, D. Mondal, and K. C. Agrawal HIV-1 Protease Inhibitor Induced Oxidative Stress Suppresses Glucose Stimulated Insulin Release: Protection with Thymoquinone Experimental Biology and Medicine, April 1, 2009; 234(4): 442 - 453. [Abstract] [Full Text] [PDF]

				K. M. Hendricks, K. Willis, R. Houser, and C. Y. Jones Obesity in HIV-Infection: Dietary Correlates. J. Am. Coll. Nutr., August 1, 2006; 25(4): 321 - 331. [Abstract] [Full Text] [PDF]

				S. E. Dolan, J. R. Kanter, and S. Grinspoon Longitudinal Analysis of Bone Density in Human Immunodeficiency Virus-Infected Women J. Clin. Endocrinol. Metab., August 1, 2006; 91(8): 2938 - 2945. [Abstract] [Full Text] [PDF]

				P. Koutkia, B. Canavan, J. Breu, and S. Grinspoon Effects of Growth Hormone-Releasing Hormone on Bone Turnover in Human Immunodeficiency Virus-Infected Men with Fat Accumulation J. Clin. Endocrinol. Metab., April 1, 2005; 90(4): 2154 - 2160. [Abstract] [Full Text] [PDF]

				K. E. Yarasheski, S. R. Smith, and W. G. Powderly Reducing plasma HIV RNA improves muscle amino acid metabolism Am J Physiol Endocrinol Metab, January 1, 2005; 288(1): E278 - E284. [Abstract] [Full Text] [PDF]

				T. T. Brown, M. D. Ruppe, R. Kassner, P. Kumar, T. Kehoe, A. S. Dobs, and J. Timpone Reduced Bone Mineral Density in Human Immunodeficiency Virus-Infected Patients and Its Association with Increased Central Adiposity and Postload Hyperglycemia J. Clin. Endocrinol. Metab., March 1, 2004; 89(3): 1200 - 1206. [Abstract] [Full Text] [PDF]

				K. M Hendricks, K. R Dong, A. M Tang, B. Ding, D. Spiegelman, M. N Woods, and C. A Wanke High-fiber diet in HIV-positive men is associated with lower risk of developing fat deposition Am. J. Clinical Nutrition, October 1, 2003; 78(4): 790 - 795. [Abstract] [Full Text] [PDF]

				D. Chen, A. Misra, and A. Garg Lipodystrophy in Human Immunodeficiency Virus-Infected Patients J. Clin. Endocrinol. Metab., November 1, 2002; 87(11): 4845 - 4856. [Abstract] [Full Text] [PDF]

This Article Abstract Full Text (PDF) Purchase Article View Shopping Cart Alert me when this article is cited Alert me if a correction is posted Citation Map Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by McDermott, A. Y. Articles by Gorbach, S. Search for Related Content PubMed PubMed Citation Articles by McDermott, A. Y. Articles by Gorbach, S. Agricola Articles by McDermott, A. Y. Articles by Gorbach, S.