Therapy with HIV protease inhibitors (PI) has had a significant beneficial impact on HIV plasma viremia, immune function, opportunistic infections and mortality from AIDS [1,2]. However, treatment with a PI has been associated with abnormalities in carbohydrate and lipid metabolism, including insulin resistance, hyperglycemia [3–5] and hyperlipidemia [6–11]. Therapy with a PI is also reported to be accompanied by changes in body composition, which include visceral fat accumulation , symmetrical lipomatosis , dorsocervical fat deposition (buffalo hump) , and peripheral fat loss . However, some of these changes in body composition and metabolism have also been reported in HIV-infected subjects not receiving PI therapy [16–18]. It is unclear whether adverse metabolic effects associated with PI are drug related, involve an interaction with the host response to HIV infection, or reflect changes in body composition.
In a recent prospective cohort study , treatment of HIV-infected subjects with a regimen that included a PI was found to induce hyperlipidemia and insulin resistance in the absence of changes in body composition. Studies on HIV-seronegative volunteers have shown that ritonavir caused significant hyperlipidemiaafter only 2 weeks of treatment, but effects on glucose metabolism were not reported . These results are compatible with direct drug effects of a PI inducing hyperlipidemia and insulin resistance.
Controversy still remains as to whether the observed metabolic effects are unique to individual drugs or common to all PI, as adverse metabolic effects may be more pronounced with some PI than others . Additionally, effects may be more severe in patients with ethnic  and genetic risk factors  for dyslipidemia and the metabolic syndrome. Finally, HIV infection itself induces changes in lipid metabolism , and therapy with PI may exacerbate these effects.
To resolve these issues, we gave indinavir to HIV-negative healthy volunteers to determine the effects of this PI drug in the absence of HIV infection and immune dysregulation. We studied glucose and lipid metabolism before and after 4 weeks of treatment to optimize detection of direct metabolic effects and minimize changes in body composition.
The study protocol was approved by the Committee on Human Research of the University of California, San Francisco (UCSF) and informed consent was obtained from each subject. Healthy volunteer subjects were recruited from staff at UCSF and from the community. Subjects had no history of medical illnesses (including nephrolithiasis), showed no abnormalities on screening physical examination and had stable weight over the preceding 6 months. Family history alone was not used as a criterion for exclusion. All subjects had a negative HIV-1 antibody test prior to and at the end of the study.
Exclusion criteria included body mass index (BMI) > 27 kg/m2, fasting serum total cholesterol > 6.2 mmol/l, triglycerides > 3.84 mmol/l, fasting glucose > 7 mmol/l, serum aspartate or alanine aminotransferases > 50 U/l and creatinine > 1.4 mg/dl. Twelve subjects enrolled in the study. One subject failed to return after baseline studies; a second withdrew during the baseline study. The data from these two subjects were not used.
This was an open-label study of indinavir. Subjects were admitted to the General Clinical Research Center (GCRC) at San Francisco General Hospital (SFGH) for 5 days and placed on a constant calorie diet with fixed proportions of carbohydrate, fat and protein designed to maintain body weight and minimize dietary influences on metabolism . After baseline studies, subjects were discharged, given indinavir (Crixivan, Merck & Co, Rahway, New Jersey, USA) 800 mg every 8 h (0700, 1500, and 2100 h) and seen weekly for safety and adherence monitoring (see below). They were instructed to resume their usual diet and physical activity. After 4 weeks on treatment, subjects were re-admitted to the GCRC for a second 5-day period for repeat studies.
Fasting lipids and free fatty acids were measured by enzymatic colorimetric methods (Sigma Diagnostics, St Louis, Missouri, and Wako Chemicals, Richmond, Virginia, USA, respectively). Lipoprotein subfractions and lipoprotein (a) were measured by microultracentrifugation (Atherotech, Birmingham, Alabama, USA). Whole blood and plasma glucose and lactate were measured using a glucose analyzer (YSI 2300 STAT-Plus Glucose & Lactate Analyzer, YSI Inc., Yellow Springs, Ohio, USA). Serum insulin levels were determined by Coat-A-Count radioimmunoassay (Diagnostic Products Corp, Los Angeles, California, USA) with interassay coefficient of variation of 7.3%, lower detection limit of 1.3 μU/ml and 40% cross-reactivity with pro-insulin. Indinavir levels were measured by liquid chromatography mass spectrometry (lower detection limit of 5 ng/ml) at the Drug Research Unit, SFGH.
At 8:00 a.m., after a 10 h overnight fast, clearance of triglyceride-rich particles was determined by intravenous fat tolerance test, as described previously . Intralipid (Liposyn II 20%, Abbott Laboratories, Chicago Illinois, USA) was infused at 0.1 g/kg body weight over 2 min and blood samples were collected at 0, 5, 10, 15, 20, 30, 40 and 50 min for nephelometry.
Oral glucose tolerance test
At 8:00 a.m., after a 10 h overnight fast, subjects received 75 g glucose orally. Blood samples were collected at 0, 30, 60, 90, 120 and 180 min for the measurement of plasma glucose (NaF-containing tubes) and serum insulin. The areas under the curve (AUC) for glucose and insulin were calculated by the trapezoid method. Fasting plasma glucose (FPG) and serum insulin (FSI) levels were measured on 2 days and averaged data were used to calculate insulin resistance index (RI) by the homeostasis model assessment (HOMA)  (RI = FSI × FPG/22.5) and insulin : glucose (I:G) ratios.
Studies of body composition
BMI was calculated as weight in kilograms divided by height in meters squared (kg/m2). Total and regional body composition were measured by dual-energy X-ray absorptiometry (DEXA; Lunar model DPX, Madison, Wisconsin, USA, software version 3.65) . Analysis of scans was performed as previously described  with coefficient of variation for repeated regional analysis of trunk, arm, and leg fat at 1.0, 2.7, and 1.4%, respectively. Central abdominal region (at L2–L4) was analyzed as described by Carey et al. 
Computed tomography was performed on a helical HiSpeed CTI Scanner (General Electric Medical Systems, Milwaukee, Wisconsin, USA). A single 7 mm slice obtained at the level of the L4–L5 intervertebral disc space was used for quantification of visceral and subcutaneous fat. All images were analyzed in a matrix of 512 × 512 pixels by one investigator, with a coefficient of variation < 1% on repeat analysis.
Waist (at the level of the umbilicus) and hip circumferences were measured in triplicate and waist : hip ratio calculated. Bioelectric impedance analysis was performed using a tetra polar BIA101 Quantum (RJL Systems Inc, Clinton Township, Michigan, USA). Body cell mass and total body water were calculated using software version 3.1b.
Hyperinsulinemic euglycemic clamp
The hyperinsuliemic euglycemic clamp was performed as described by DeFronzo et al. . Polyethylene cannulae were placed into an antecubital vein for infusion and into a vein in the dorsum of the contralateral hand, which was kept in a heated box at 50–55°C for ‘arterialized’ blood sampling. Subjects fasted overnight prior to the procedure. Beginning at 9:00 a.m., insulin (Humulin R, Eli Lilly, Indianapolis, Indiana, USA) was administered as a primed continuous intravenous infusion, followed by a constant infusion at the rate of 40 mU/m2 ⋅ min for 180 min. Whole blood glucose concentration was measured every 5 min after the start of the insulin infusion. A variable infusion of 20% dextrose was used to maintain plasma glucose concentration at 4.4 mmol/l (80 mg/dl) with a coefficient of variation < 5% based on the negative feedback principle. Blood samples were collected for post-hoc determination of plasma glucose and serum insulin concentrations.
Subjects were instructed to take indinavir 800 mg three times daily with two glasses of water. Adherence was monitored at each weekly visit by four methods: (i) self-report and direct questioning; (ii) manual pill counts; (iii) electronic pill counts using a Medication Event Management System (MEMS, Aprex Corp. Union City, California, USA) for quantification of adherence rate and dosing intervals; and (iv) measurement of plasma indinavir trough levels.
Data were analyzed using Sigma Stat v. 2.03 (SPSS, Inc. San Rafael, California, USA). Paired t-tests were used for normally distributed data. Non-parametric data were analyzed using Mann–Whitney or Wilcoxon Rank Sum test. Data are presented as mean ± SEM. P values are two-tailed.
Ten subjects completed the study. Subjects ranged in age from 30 to 65 years (mean 42.1 ± 3.9); four were non-white (two Hispanic, two African-American). Average weekly indinavir trough levels were 0.726 ± 0.205 μmol/l (range, 0.161–1.239) (446 ± 126 ng/ml) (range, 99–761 ng/ml). Average therapeutic coverage as measured by MEMS was 95 ± 2% (range, 86–100). The most common reported adverse effects were dry skin and dry mouth (in seven) followed by nausea and muscle aches (in three). Three subjects developed asymptomatic elevations in total bilirubin (peak levels 23, 17, and 16 mg/l) and one had aspartate aminotransferase elevation to twice the upper limit of normal value. No subject withdrew from the study because of adverse events related to indinavir.
Fasting glucose, insulin, I : G ratio and insulin resistance index by HOMA all increased significantly with indinavir (Table 1). Fasting lactate levels did not change. Seven subjects had an increase in HOMA index while three had no change (Fig. 1). During OGTT, glucose and insulin levels at 2 h also increased (Table 1). Of note, based on glucose levels at 2 h on OGTT, one subject developed diabetes (2 h glucose 11.3 mmol/l), one became glucose intolerant (2 h glucose 7.9 mmol/l), and one nearly developed impaired glucose tolerance (2 h glucose 7.7 mmol/l) (Fig. 2). A trend towards an increase in AUC for glucose was observed (Fig. 3a). Insulin levels at 2 h were significantly increased (Table 1 and Fig. 3b).
During hyperinsulinemic euglycemic clamp, a steady-state insulin level of ≃500 pmol/l was achieved after 30 min (Fig. 4a). Steady-state glucose levels of ≃4.5 mmol/l were reached at 60 min and were maintained for 180 min (Fig. 4a). After 4 weeks of indinavir treatment, insulin-mediated glucose disposal rate per unit of insulin from 60 to 180 min declined in nine out ten subjects by an average of 1.4 mg/kg ⋅ min per μU/ml (95% confidence interval, 0.6–3.0; P < 0.01) (Fig. 4b).
Total, direct cholesterol levels in low density lipoproteins (LDL), high density lipoproteins (HDL) and intermediate density lipoproteins did not change (Table 2). The mean difference in plasma triglyceride levels was not significant (P = 0.22), nor was there a significant change in plasma free fatty acids, lipoprotein (a) or subclasses of LDL and HDL. The density pattern of LDL particles increased in two subjects [type A (light) to type B (dense) and type AB (intermediate) to type B] and decreased in another (type AB to type A). The clearance time of triglycerides as measured by an intravenous fat tolerance test increased slightly (Table 2). After 4 weeks of indinavir treatment, there was no significant change in weight, waist : hip ratio, percentage body fat, body cell mass, total body water by bioelectric impedance analysis, or in visceral fat or subcutaneous fat by computed tomography. There was a small loss of total fat and trunk fat, but no change in L2–L4 fat. Total and regional lean body mass remained unchanged (Table 3).
The metabolic effects of indinavir in HIV-seronegative subjects was studied to distinguish direct drug effects from those caused by the host response to HIV that occurs in the context of immune reconstitution. Following 4 weeks of treatment, there was a small decrease in total fat by DEXA but no increase in abdominal visceral fat and subcutaneous fat or the ratio of visceral to total adipose tissue by computed tomographic scanning. Consequently the effects on intermediary metabolism cannot be attributed to an increase in visceral fat, although they could be part of a more complex syndrome that subsequently would lead to changes in body composition.
Indinavir caused insulin resistance in these HIV-negative subjects. Insulin resistance could be demonstrated using fasting samples (HOMA index and insulin : glucose ratio), OGTT, and, more significantly, hyperinsulinemic euglycemic clamp. Based on 2 h glucose during OGTT, diabetes mellitus developed in one subject, impaired glucose tolerance in another and near impaired glucose tolerance in a third. These changes occurred despite only a small increase in fasting glucose and insulin levels. The increase of 5% in fasting glucose after 4 weeks of treatment was less than the average increase of 11% after 3 months on a PI drug seen in HIV-positive subjects in a prospective study , and the 15% reported in a cross-sectional study with average duration on PI of 18 months . One previous study reported a delay in the peak of insulin levels in PI-treated compared with PI-naive HIV-infected patients . However, there was a typical early peak of insulin levels in our HIV-negative patients treated with indinavir.
Genetic factors may play a role in susceptibility to the effects of indinavir. Three subjects had first-degree relatives with diabetes. These included the subject who developed diabetes and the subject who developed near impaired glucose tolerance by OGTT criteria. The third subject with a family history of diabetes had the greatest decline in glucose disposal rate (M value) during hyperinsulinemic euglycemic clamp on indinavir.
Peripheral insulin resistance has been reported as a complication of therapy with PI in HIV-infected patients, but the mechanism is not completely understood [5,10,15,19]. In this study there was a 20% decrease in sensitivity of the peripheral tissues to insulin action (i.e. insulin-mediated glucose disposal) during a hyperinsulinemic euglycemic clamp. Insulin-mediated glucose disposal occurs primarily in muscle and adipose tissues . Insulin signaling induces translocation of the glucose transporter vesicles (predominantly GLUT4) to the plasma membrane . In vitro study of the effect of PI on glucose uptake in cultured adipocytes has shown that indinavir at near-peak therapeutic concentration of 10 μmol/l (7120 ng/ml) caused inhibition of the insulin-stimulated glucose uptake . This 26% decrease is similar to our finding of 20% decline in insulin-mediated glucose disposal, although findings in cultured cells cannot be directly extrapolated to results in vivo. Moreover, our data do not exclude another independent effect of indinavir on the liver that causes insulin resistance.
Our study demonstrates that treatment with indinavir for 4 weeks has little direct effect on lipid and lipoprotein levels in HIV-seronegative subjects. Total cholesterol values were within 8% of baseline and lipoprotein (a) remained unchanged. Triglycerides were 26% higher; however, this increase was not statistically significant as the increase in the mean level after indinavir treatment was driven primarily by a single subject. Lipoprotein subfraction analysis revealed no significant alteration in HDL subclasses. It is, therefore, unlikely that a defect in lipid metabolism is the cause of indinavir-induced insulin resistance. However, the finding of a small change in plasma triglyceride levels and an increased rate of clearance of triglycerides suggest that some changes occur that may increase in magnitude with longer exposure to PI or as a consequence of subsequent changes in body composition.
In the prospective cohort study of HIV-infected subjects cited above , those who initiated therapy with a PI had an average increase of 22% in total cholesterol, 20% in LDL cholesterol and 47% in triglycerides, consistent with other prospective studies of similar duration  in HIV-infected subjects. Also in contrast to our data, Purnell et al. found that HIV-seronegative subjects treated with ritonavir for only 2 weeks had an average increase of 24% in total cholesterol, 40% in lipoprotein (a), and 245% in triglycerides . Though apparently contradictory, these data are supported by other observations indicating that ritonavir has a more potent effect on plasma lipids than other PI [8,11,21]. For example, ritonavir increased triglycerides, while nelfinavir and indinavir did not; ritonavir and nelfinavir caused statistically greater increases in LDL than did indinavir (150%, 144% and 126%, respectively) . These data, therefore, support an early and more potent effect of ritonavir on lipids than with indinavir or nelfinavir. The differing effects of individual PI on lipids support the concept of drug-specific rather than class-specific effects.
Our study has a number of potential limitations. We have studied only one PI and therefore our data may not be applicable to all drugs in this class. We studied men only; metabolic effects might be different in pre- and postmenopausal women. While it was advantageous to study metabolism after 4 weeks of treatment with indinavir, we cannot determine if longer duration of treatment would lead to significant changes in body composition. Furthermore, we cannot determine whether changes in body composition, if they occurred, would compound the metabolic effects we have reported in this study. Data presented in this paper cannot be used to determine whether indinavir causes insulin resistance in the liver. Finally, combination drug regimens (e.g. indinavir in combination with ritonavir or stavudine) may have additional unique metabolic effects.
In summary, our study suggests that the earliest direct effect of treatment with indinavir on metabolism is peripheral insulin resistance, which can be detected within 4 weeks in the absence of any increases in visceral fat tissue. In that period, indinavir has little effect on lipid and lipoprotein levels in healthy HIV-negative subjects. The mechanism by which indinavir induces insulin resistance is unknown. Future studies are needed to assess whether these effects are common to other PI and how they might be influenced by genetic predisposition and interact with the changes in body composition.
The authors thank Miyin Pang, Barbara Chang, Joy Hirai, Natalie Patterson, Carlynn Yee-Hicaiji and the GCRC nursing staff for technical assistance and Dr Francesca Aweeka for measuring indinavir levels.
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Keywords:© 2001 Lippincott Williams & Wilkins, Inc.
HIV protease inhibitors; indinavir; insulin resistance; body composition; cholesterol; triglycerides; diabetes; lipodystrophy; HIV; AIDS