- Research article
- Open Access
Plasma metabolomics identifies lipid abnormalities linked to markers of inflammation, microbial translocation, and hepatic function in HIV patients receiving protease inhibitors
BMC Infectious Diseases volume 13, Article number: 203 (2013)
Metabolic abnormalities are common in HIV-infected individuals on antiretroviral therapy (ART), but the biochemical details and underlying mechanisms of these disorders have not been defined.
Untargeted metabolomic profiling of plasma was performed for 32 HIV patients with low nadir CD4 counts (<300 cells/ul) on protease inhibitor (PI)-based ART and 20 healthy controls using liquid or gas chromatography and mass spectrometry. Effects of Hepatitis C (HCV) co-infection and relationships between altered lipid metabolites and markers of inflammation, microbial translocation, and hepatic function were examined. Unsupervised hierarchical clustering, principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), Random forest, pathway mapping, and metabolite set enrichment analysis (MSEA) were performed using dChip, Metaboanalyst, and MSEA software.
A 35-metabolite signature mapping to lipid, amino acid, and nucleotide metabolism distinguished HIV patients with advanced disease on PI-based ART from controls regardless of HCV serostatus (p<0.05, false discovery rate (FDR)<0.1). Many altered lipids, including bile acids, sulfated steroids, polyunsaturated fatty acids, and eicosanoids, were ligands of nuclear receptors that regulate metabolism and inflammation. Distinct clusters of altered lipids correlated with markers of inflammation (interferon-α and interleukin-6), microbial translocation (lipopolysaccharide (LPS) and LPS-binding protein), and hepatic function (bilirubin) (p<0.05). Lipid alterations showed substantial overlap with those reported in non-alcoholic fatty liver disease (NALFD). Increased bile acids were associated with noninvasive markers of hepatic fibrosis (FIB-4, APRI, and YKL-40) and correlated with acylcarnitines, a marker of mitochondrial dysfunction.
Lipid alterations in HIV patients receiving PI-based ART are linked to markers of inflammation, microbial translocation, and hepatic function, suggesting that therapeutic strategies attenuating dysregulated innate immune activation and hepatic dysfunction may be beneficial for prevention and treatment of metabolic disorders in HIV patients.
Despite the success of combination antiretroviral therapy (ART) in reducing HIV-associated morbidity and mortality, long-term ART is frequently associated with metabolic abnormalities including dyslipidemia, lipodystrophy, and insulin resistance [1, 2]. These metabolic abnormalities increase the risk of cardiovascular, liver, kidney, bone, and neurological disorders and the incidence of these disorders is rising as HIV-infected populations age [1, 3]. Mechanisms driving these abnormalities are multifactorial including effects of ART (e.g., protease inhibitor (PI)-associated dyslipidemia and nucleoside reverse transcriptase inhibitor (NRTI)-associated mitochondrial toxicity [2–4]), disease related factors (e.g., CD4 T-cell depletion, inflammation, and unsuppressed viremia), and host factors (e.g. body mass index, comorbidities, and genetic predisposition) [1, 2].
The liver plays a central role in regulating lipid, amino acid, and carbohydrate metabolism, but few studies have explored relationships between hepatic dysfunction and metabolic abnormalities in HIV-infected individuals on ART. Liver disease represents a leading cause of morbidity and mortality in HIV patients on ART, with hepatic dysfunction affecting 30-40% of patients [5–7]. Ranging from mild reversible increases in hepatic enzymes to fibrosis and decompensation, hepatic dysfunction has been linked to co-infections with hepatitis B and C (HBV and HCV), ART-induced hepatotoxicity, and high prevalence of non-alcoholic fatty liver disease (NAFLD), which affects 20-70% of HIV-infected individuals .
Twenty-five to 40% of HIV-infected individuals in the United States and Europe are co-infected with HCV. In these populations, HCV co-infection is associated with increased rates of lipodystrophy [8, 9], hepatic steatosis [10–12], and insulin resistance [9, 13, 14], but lower total cholesterol (TC) and low-density lipoprotein cholesterol (LDL) [15–17], particularly in patients infected with HCV genotype 3 [11, 12, 18]. In HCV mono-infected individuals, altered cholesterol metabolism is associated with hepatic steatosis, advanced hepatic fibrosis, and poor responses to interferon-based therapy [19–21]. Further studies are required to better define metabolic alterations in HIV subjects with and without HCV co-infection.
Metabolomics is the unbiased identification and quantification of small molecules in biological fluids. In the context of disease, metabolomics has been used to identify novel clinical biomarkers and therapeutic targets. Here, we performed untargeted metabolomic profiling of plasma from two independent cohorts of HIV-infected individuals with late stage disease on PI-based ART to identify a metabolite signature that distinguishes HIV-infected from healthy control subjects regardless of HCV serostatus. We also examined relationships between altered lipid metabolites and markers of inflammation, microbial translocation, and hepatic dysfunction.
HIV subjects (n=32) in the two independent cohorts were from the National NeuroAIDS Tissue Consortium (NNTC) (Manhattan HIV Brain Bank, National Neurological AIDS Bank, California NeuroAIDS Tissue Network, Texas NeuroAIDS Research Center) and CNS HIV Anti-Retroviral Therapy Effects Research (CHARTER) study. Subjects were enrolled with written informed consent and IRB approval at each study site. Inclusion criteria were advanced disease (nadir CD4<300 cells/ul), HIV plasma viral load <400 copies/ml, and >1 year on PI-based ART (31% receiving lopinavir (LPV) plus ritonavir (RTV), 22% receiving nelfinavir (NFV), 16% receiving saquinavir (SQV) plus RTV, 10% receiving atazanavir (ATV) plus RTV, 6% receiving fosamprenavir (FPV) plus RTV, 6% receiving indinavir (IDV) plus RTV, 6% receiving SQV and NFV plus RTV, and 3% receiving amprenavir). Exclusion criteria were current use of lipid lowering medications, current heavy alcohol consumption, severe hepatotoxicity (defined in accordance with the AIDS Clinical Trials Group criteria as grades 3 or 4 ), and moderate to severe renal insufficiency . To evaluate effects of HCV co-infection (defined by positive serostatus), the initial cohort included HIV subjects with and without HCV co-infection (n=17). Results were validated in a second independent cohort of HIV subjects co-infected with HCV (n=15; defined by serostatus). HIV subjects in the initial and validation cohorts were matched for age, gender, race/ethnicity, and stage of HIV disease (nadir and current CD4 counts). Results were also validated in an independent cohort of HIV subjects on non-nucleoside reverse transcriptase inhibitors (NNRTI)-based ART (88% on efavirenz and 22% on nevirapine) matched to HIV subjects on PI-based ART in the initial and validation cohorts by age, gender, HCV serostatus, and stage of HIV disease (nadir and current CD4 counts). Healthy control samples were HIV- and HCV-negative individuals without a diagnosis of diabetes or hyperlipidemia obtained from Bioreclamation (Westbury, New York) and with informed consent and IRB approval from Dana-Farber Cancer Institute. Controls were matched by gender and by gender, age, race/ethnicity, and smoking in the initial and validation cohorts, respectively.
Quantification of soluble markers
Plasma levels of interferon (IFN)-α, interleukin (IL)-6, and IL-2 receptor alpha (RA) were measured using a Luminex multiplex assay (Bio-Plex System, Bio-Rad Laboratories). Plasma lipopolysaccaride (LPS) was quantified as previously described . Soluble CD14 (sCD14) (R&D Systems), LPS-binding protein (LBP) (Cell Sciences), and YKL-40 (Quidel Corporation) were quantified by ELISA.
Metabolomic profiling was performed by Metabolon (Durham, NC) using ultra high performance liquid chromatography and tandem mass spectrometry (UHLC/MS2/MS) optimized for the detection of acidic or basic metabolites, and gas chromatography (GC)/MS. Plasma samples were extracted using the MicroLab STAR system as described . The UHLC/MS2/MS platform was based on a Waters ACQUITY UHPLC and Thermo-Finnigan LTQ mass spectrometer, which consisted of an electrospray ionization source and linear ion-trap mass analyzer. Derivatized samples for GC/MS were separated on 5% phenyldimethyl silicone column with helium as the carrier gas and a temperature ramp from 60° to 340°C over a 16 minute period. Analysis was performed on a Thermo-Finnigan Trace DSQ fast-scanning single-quadrupole mass spectrometer using electron impact ionization. Compounds were identified by automated comparison of chromatographic and mass spectra properties in samples to metabolomic library entries of purified standards.
Data processing, bioinformatics, and statistical analysis
Metabolite data was normalized by median centering. Missing values (33% of metabolites had at least one missing value) were imputed with the lower limit of detection for a given metabolite. Batch normalization was performed using the median ratio for each metabolite in duplicate “anchor” samples across runs. Significantly altered metabolites were defined by a fold change (FC) >1.3, p-value <0.05 and FDR ≤0.1. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and Random Forest were performed in the Metaboanalyst web portal (http://www.metaboanalyst.ca). Hierarchical clustering of signature metabolites altered in HIV compared to control subjects was performed in dChip (http://www.dchip.org). KEGG API was used to interface with the KEGG database. Additional small molecule pathways were extracted from Small Molecule Pathways Database (SMPDB). Quantitative enrichment analysis was performed in Metabolite Set Enrichment Analysis (MSEA) software (http://www.metaboanalyst.ca) using the Metabolic Pathways library from MSEA and metabolite sets from Lipid Maps (http://www.lipidmaps.org). Additional statistical analyses were performed in R on log-transformed data. Pearson correlations were used to evaluate relationships between metabolites (p<0.05, FDR≤0.1). Spearman correlations were used to examine relationships between metabolites and markers of inflammation (IFN-α, IL-6, IL2RA, and sCD14), microbial translocation (LPS and LBP), and hepatic function (total bilirubin, bilirubin (E,E), bilirubin (Z,Z), and albumin), and liver enzymes (alanine transaminase (ALT), aspartate transaminase (AST), and alkaline phosphatase (ALP))(p<0.05, FDR≤0.1). Multiple testing corrections were performed by calculating the false discovery rate (FDR) using fdrtool.
HIV subject cohorts
Clinical characteristics of HIV subjects in the two cohorts are shown in Table 1. Both cohorts were predominantly male and African American (median age 45), with similar nadir and current CD4 T cell counts (median 58 vs. 53 (p=0.314) and 267 vs. 212 cells/ul (p=0.472)) and suppressed plasma viral loads (median 69 vs. 50 copies/ml) in initial and validation cohorts, respectively. All HIV subjects were on ART including at least one protease inhibitor for a median of 31 months (IQR: 15–50 months); 75% were on RTV-boosted PI and 25% were on unboosted PI. 97% of HIV subjects were taking NRTI inhibitors. Only three HIV subjects had hyperlipidemia (2 with mildly elevated total cholesterol, LDL, and triglycerides, 1 with high triglycerides and mildly elevated total cholesterol), one subject had clinical evidence of lipodystrophy, and one had diabetes. 38% of HIV subjects had mild-to-moderate elevations in hepatic aminotransferases (ALT range: 62–113 IU/L and AST range: 38–133 IU/L) and 19% had elevations in total bilirubin (range: 1.3-4.2 mg/dL) and/or decreased albumin (range: 2–3.3 g/dL). HCV co-infection was not associated with higher levels of ALT, AST, or total bilirubin compared to those without HCV co-infection. 31% of HIV subjects reported past alcohol abuse and one had current alcohol dependence (assessed by Psychiatric Research Interview for Substance and Mental Disorders (PRISM)).
Alterations in the plasma metabolome of HIV subjects are linked to multiple biosynthetic pathways
Untargeted metabolomic profiling of plasma from 2 independent cohorts of HIV and control subjects detected a total of 335 and 349 metabolites in the initial and validation cohorts, respectively (Figure 1A). To reduce noise in the data analysis, pre-processing was performed to exclude xenobiotics, carbohydrates, and metabolites >3-fold different between the control groups (p<0.01). By this approach, 227 metabolites detected across both cohorts met acceptability criteria and were further analyzed using bioinformatic tools (Additional file 1). PCA revealed a clear separation of HIV and control metabolomes in both cohorts (Figure 2A). Consistent with these results, Random Forest analysis classified HIV vs. control subjects with 96% and 100% predictive accuracy in initial and validation cohorts, respectively. 35 metabolites distinguished between HIV subjects and controls across both cohorts (10 up and 26 down) regardless of HCV serostatus based fold change analysis (FC>1.3, p<0.05, FDR<10%) and subsequent sub-analysis of HIV subjects from the initial cohort with and without HCV co-infection. Moreover, the majority of these metabolites (23 of 35), including bile acids, steroids, and long chain fatty acids (LCFA), were altered in an independent cohort of HIV subjects on NNRTI-based ART vs. matched healthy controls (Additional file 2), indicating that many of these alterations also occur in HIV patients not on PI-based ART. Unsupervised hierarchical clustering of this metabolite set classified HIV vs. control subjects with 100% accuracy in both cohorts (Figure 1B). To identify and rank signature metabolites explaining most of the variance between HIV and control metabolomes, we used PLS-DA to evaluate variable importance in projection scores (VIP scores) (Figure 1C). Eleven of 15 top-ranked VIP scores overlapped between cohorts (p<0.05), corresponding to 3 bile acids (glycocholate (GCA), taurocholate (TCA), and taurodeoxycholate (TDCA)), 3 steroids (dehydroepiandrosterone sulfate (DHEA-S), epiandrosterone sulfate (EpiA-S), and pregnenolone sulfate), eicosapentaenoic acid (EPA), 5-hydroxyeicosatetraenoic acid (5-HETE), indolepropionate, phenylacetylglutamine, and histidylphenylalanine. Thus, we identified a 35-metabolite signature that distinguishes HIV-infected from healthy control subjects regardless of HCV serostatus.
Substantial overlap between alterations in the plasma metabolome of HIV subjects with and without HCV co-infection
Given the high prevalence of HCV co-infection in HIV-infected populations and the association between HCV co-infection and increased rates of lipodystrophy, hepatic steatosis, and insulin resistance, we next examined the effects of HCV co-infection on the HIV plasma metabolome. Within the initial cohort, PCA revealed a clear separation of the plasma metabolomes from HIV subjects with and without HCV co-infection (Figure 2A). To examine the effects of HCV co-infection on the HIV plasma metabolome, we compared metabolic alterations in subgroups consisting of HIV subjects with and without HCV co-infection (Figure 2B). In addition to the 35-metabolite signature that distinguished HIV subjects from healthy controls regardless of HCV serostatus (Figure 1B), 11 additional metabolites (2 up and 9 down) (FC>1.3, p<0.05, FDR<10%) were altered only in HCV-positive subjects across both cohorts (Figure 2B). Next, we performed a sub-analysis of HIV subjects with (n=10) and without HCV co-infection (n=7) and healthy controls (n=8) matched for age, gender, and race/ethnicity. The majority of metabolites altered in HIV subjects with HCV co-infection were also altered in subjects without HCV including sulfated steroids, bile acids, essential fatty acids (EFA), LCFA, fibrinogen cleavage peptides, and tryptophan metabolites (Figure 2C and Additional file 3). Compared to HIV subjects without HCV, HCV co-infection was associated with lower sulfated steroids, essential fatty acids (EFA), long chain fatty acids (LCFA), fibrinogen cleavage peptides, and tryptophan metabolites (i.e. tryptophan betaine and indolepropionate) and higher plasma LPS (Figure 2C). Unexpectedly, bile acid levels were similar in HIV subjects with and without HCV. These results suggest there is substantial overlap between metabolite sets altered in HIV subjects with versus without HCV co-infection in the study cohort. However, HCV co-infection appears to potentiate some of these metabolic abnormalities.
Altered bile acid, acylcarnitine, PUFA, glycerophospholipid, and steroid metabolism in HIV subjects on PI-based ART
Given substantial overlap between metabolites altered in HIV subjects with and without HCV co-infection, we used a merged dataset of all HIV subjects (n=32) and healthy controls (n=20) for pathway mapping and correlation analysis. In the merged dataset, 58 metabolites distinguished between HIV subjects and controls (FC>1.3, p<0.05, FDR<10%), including the 35 signature metabolites and 23 additional metabolites that approached significance in the initial and validation cohorts (0.05<p<0.20). Mapping these metabolites with KEGG IDs (n=50) to KEGG and SMPDB pathways identified alterations in multiple biosynthetic pathways including glycerophospholipid metabolism (lysophosphocholine (LPC)), steroid metabolism (pregnenolone sulfate, DHEA-S, EpiA-S, and androsterone sulfate), bile acid biosynthesis (TCA, taurodeoxycholate (TCDA), GCA, and glycodeoxycholate (GCDA)), LCFA metabolism (arachidonic acid (AA), EPA, docosahexaenoic acid (DHA), and docosapentaenoic acid (DPA)), eicosanoid biosynthesis (5-HETE, prostaglandin B2 (PGB2), prostaglandin E2 (PGE2), and thromboxane B2 (TXB2)), mitochondrial function (carnitine and butyrylcarnitine), tryptophan metabolism (tryptophan betaine, kynurenine, and indoleproprionate), the citric acid cycle (fumarate and malate), and pyrimidine metabolism (uridine, pseudouridine, and 5-methyluridine) (Figure 3). Because >50% of altered metabolites were lipids, we performed MSEA for 113 lipids from the merged dataset (Additional file 4). 11 metabolite sets were enriched in the HIV plasma lipidome compared to controls (p<0.05, FDR<5%) including bile acid biosynthesis, steroidogenesis and sulfation, LPC and acylcarnitine biosynthesis, and pathways involved in fatty acid biosynthesis, elongation, oxidation, and metabolism (Figure 4A). Consistent with these results, Welch’s t-tests identified alterations in several lipid classes including bile acids, acylcarnitines, PUFA, LPC, and sulfated steroids (FC>1.3, p<0.05, FDR<10%) (Figure 4B). Four bile acids and two acylcarnitines were increased and omega-3 and omega-6 PUFA (AA, EPA, DPA, and DHA), LPC ((LPC (18:0), LPC (18:1), and LPC (20:4)), and sulfated steroids (DHEA-S, pregnenolone sulfate, androsterone sulfate and EpiA-S) were decreased in HIV compared to control subjects. Thus, alterations in the HIV plasma metabolome are indicative of dysregulated of bile acid, acylcarnitine, PUFA, LPC, and steroid metabolism.
Identification of lipid abnormalities linked to markers of inflammation, microbial translocation, and hepatic function
Next, we examined inter-relationships between alterations in the plasma lipidome and markers of inflammation, microbial translocation, and hepatic function. Pearson correlation analysis followed by clustering and visualization of the correlation matrix identified 3 distinct clusters of co-modulated lipids (p<0.05, FDR<0.1) (Figure 5, Additional file 5). In cluster 1, steroids and LPC were positively correlated. In cluster 2, acylcarnitines and medium chain fatty acids were positively correlated. In cluster 3, LCFA were positively correlated. Next, we examined correlations between these lipid subsets and markers of inflammation (IFN-α, IL-6, IL-2RA, and sCD14), microbial translocation (LPS, and LBP), hepatic function (bilirubin and albumin), and liver enzymes (ALT, AST, and ALP). In cluster 1, sulfated steroids correlated negatively with IFN-α and IL-6 (p<0.05, FDR<10%) (Figure 5). In cluster 2, acylcarnitines correlated positively with bile acids (GCA and TCA) and bilirubin (E,E), a geometric isomer of bilirubin identified by metabolomic profiling. In Cluster 3, LCFA correlated negatively with LPS, LBP, and bilirubin (Z,Z) and (E,E). LPS and LBP are markers of microbial translocation from a damaged gut that have been previously linked to chronic innate immune activation [24, 26] and hepatic dysfunction (9–10) in HIV infection. These results identify distinct alterations in the HIV plasma lipidome linked to markers of inflammation, microbial translocation, and hepatic function.
Overlap between alterations in the HIV plasma lipidome and changes previously described in NAFLD/Nonalcoholic Steatohepatitis (NASH)
Given the high prevalence of NAFLD/NASH in HIV patients on ART [6, 7], we compared alterations in the HIV plasma lipidome to those previously reported in 3 independent studies of HIV-negative patients with NAFLD/NASH [27–29]. Of 113 lipids detected in plasma, 60 were previously studied in subjects with NAFLD/NASH and 45 were altered in HIV or NAFLD/NASH. 53% (19/36) of lipids altered in HIV subjects overlapped with those altered in NAFLD/NASH, including increased bile acids and acylcarnitines and decreased LPC, PUFA, and DHEA-S (Figure 6, Additional file 6). However, 47% (17/36) of altered lipids were unique to HIV subjects, including decreased saturated LCFA and eicosanoids. Thus, the plasma lipidome of HIV patients on suppressive ART has overlapping, yet distinctive features compared to those reported in NAFLD/NASH.
Increased plasma bile acids are associated with noninvasive markers of liver fibrosis (FIB-4, APRI, and YKL-40)
Recent studies suggest serum bile acids may represent a noninvasive marker of liver disease in patients with HCV . To explore relationships between bile acids and non-invasive markers of liver fibrosis in HIV patients on ART, we calculated FIB-4 (age [years] × AST [IU/L]/platelet count [109/L] × (ALT1/2[IU/L])) and AST-Platelets Ratio Index (APRI) (AST [IU/L]/platelet count [109/L]) scores, evaluated YKL-40 levels in plasma, and examined associations between these markers and alterations in bile acids. FIB-4, APRI, and YKL-40 are non-invasive markers of liver fibrosis shown to correlate with the Ishak histology scoring system [31–37]. Using previously described cut-offs [31, 38], 44 and 47% of HIV subjects had intermediate to high FIB-4 (>1.45) and APRI (>0.5) scores, respectively. 53% of HIV subjects had high (>155 ng/ml) levels of plasma YKL-40. HIV subjects with intermediate/high FIB-4 and APRI scores had higher plasma GCA, GDCA, and TCA compared to those with low scores and controls (Figure 7). Consistent with these findings, HIV subjects with high levels of circulating YKL-40 had higher levels of plasma GCA and TCA. These results suggest that elevated plasma bile acids are associated with non-invasive markers of hepatic fibrosis in HIV patients with advanced disease on PI-based ART.
In this study, we characterized the plasma metabolome of HIV patients with advanced disease (CD4 nadir <300 cells/ul) on PI-based ART and identified a 35-metabolite signature mapping to lipid, amino acid, and nucleotide metabolism that distinguished HIV from control subjects independent of HCV serostatus. Seventy percent of these altered metabolites were lipids, including endogenous ligands for the nuclear receptors FXR, PXR, CAR, and PPAR such as bile acids, sulfated steroids, and PUFA. These receptors play important roles in regulating lipid metabolism, inflammation, and hepatic function. Lipids regulate diverse cellular processes including metabolic, inflammatory, and innate immune responses, and imbalances in lipid signaling pathways contribute to diverse pathologies including insulin resistance and cardiovascular disease [39–41]. Untargeted metabolomic profiling represents a powerful tool for deconvoluting these pathways and gaining insights important for developing therapeutic strategies to reduce metabolic disease and chronic inflammation in HIV patients on ART.
In treatment-naive HIV patients studied prior to the introduction of ART, dyslipidemia was frequently detected, and characterized by hypocholesterolemia with and without hypertriglyceridemia [42, 43]. The severity and frequency of these abnormalities were associated with decreasing CD4 counts and advanced disease [43, 44]. In HIV patients on ART, dyslipidemia has been traditionally characterized by increased triglycerides, increased total and LDL cholesterol, and decreased HDL cholesterol . However, these lipids represent only a small subset of those in plasma . By profiling 113 plasma lipids, we identified alterations in several lipid classes including bile acids, acylcarnitines, sulfated steroids, and PUFA. Bile acids were increased in HIV patients on PI-based ART, consistent with a small previous study (n=11) . Under physiological conditions, bile acids play an important role in lipid absorption and homeostasis (reviewed in ). At high concentrations, however, bile acids are proinflammatory and hepatotoxic . Acylcarnitines were also elevated in HIV subjects. Increased serum acylcarnitines, a marker of incomplete fatty acid β-oxidation, have been reported in patients with diabetes, and metabolic, cardiovascular, and mitochondrial diseases [49–51]. In rodent models of obesity and insulin resistance, increased acylcarnitines have been linked to mitochondrial overload under conditions of metabolic stress [52, 53]. Another important finding was reduced plasma sulfated steroids including DHEA-S, EpiA-S, pregnenolone sulfate, and androsterone sulfate. Reduced DHEA-S has been implicated in aging, age-related comorbidities (e.g., atherosclerosis and bone metabolism), and immune dysfunction . Furthermore, previous studies found associations between low DHEA-S and progression to AIDS, as well as dyslipidemia in HIV subjects on ART [55, 56]. Bioactive PUFA including AA, EPA, DPA, and DHA were also decreased in the HIV plasma metabolome. PUFA depletion has been linked to hepatic triglyceride accumulation, unfolded protein responses, and increased susceptibility to endoplasmic reticulum stress [57–59]. Collectively, these alterations show substantial overlap with those previously reported in NAFLD and NASH, (i.e., bile acids, acylcarnitines, LPC, PUFA, and DHEA-S) [27–29], raising the possibility that mechanisms underlying development of NAFLD (i.e., lipid peroxidation and mitochondrial dysfunction) may also contribute to dyslipidemia in HIV patients on ART. However, other alterations were unique to HIV patients, including decreased saturated LCFA and eicosanoids. Thus, the plasma lipidome of HIV patients on PI-based ART has overlapping, yet distinctive features compared to NAFLD/NASH.
Mapping altered metabolites to KEGG and SMPDB pathways identified alterations in immunomodulatory pathways including tryptophan catabolism and eicosanoid biosynthesis (Figure 3). Despite long-term ART, tryptophan betaine and indoleproprionate were decreased and kynurenine and K:T ratios (an index of indolamine 2,3-dioxygenase (IDO) activity and tryptophan catabolism) were increased in HIV subjects compared to controls. Tryptophan catabolism is regulated by the balanced expression of IDO/tryptophanyl-tRNA-synthetase (TTS) [60, 61]. Chronic IDO activation, however, drives immune dysfunction by suppressing T cell proliferation, increasing production of toxic metabolites (kynurenine and quinolinic acid), and altering the Th17/Treg balance, and has been previously linked to dysfunctional T cell responses in HIV patients [60–62]. Another important finding was decreased eicosanoids (e.g., 5-HETE, PGB2, PGE2, and TXB2). Eicosanoids, derived from PUFA, play an important role in the initiation and resolution of inflammation (reviewed in ). Thus, PUFA depletion and decreased eicosanoids biosynthesis may contribute to dysregulated inflammatory responses in HIV patients on PI-based ART. Correlation analysis identified negative correlations between sulfated steroids and markers of innate immune activation (IFN-α and IL-6). Mounting evidence suggests that innate immune responses regulate cholesterol/sterol metabolism. Sulfated steroids correlated inversely with plasma IFN-α, consistent with previous studies demonstrating that type I IFNs downregulate sterol metabolism during anti-viral responses [64, 65]. Sulfated steroids also correlated inversely with IL-6. Dysregulated IL-6 production plays a role in age-related conditions, such as rheumatoid arthritis [66, 67], osteoporosis , atherosclerosis , and Alzheimer's disease [70, 71]. Consistent with our results, IL-6 has been shown to correlate inversely with serum DHEA-S in aging populations . In aging mice, dysregulated IL-6 production can be reversed by supplementing animals with DHEA-S . Thus, the relationship between IL-6 and sulfated steroids in HIV patients on PI-based ART merits further study.
The FIB-4 and APRI indices represent inexpensive, accurate (overall accuracy up to 87% and 72%, respectively), and non-invasive markers of liver fibrosis in HIV-infected individuals with and without HCV co-infection [31–33, 74]. Similarly, circulating YKL-40 has been shown to correlate with the severity of fibrosis in chronic HCV infection and alcoholic liver disease [75, 76]. Here, we found that intermediate/high FIB-4 and APRI scores and high levels of plasma YKL-40 were associated with increased plasma bile acids in HIV subjects on PI-based ART. Consistent with these findings, elevated serum bile acids have been reported in patients with cirrhosis and chronic HCV infection and were shown to correlate with the severity of liver fibrosis [30, 77]. Bile acid levels (GCA and TCA) were positively correlated with acylcarnitines, a marker of incomplete fatty acid β-oxidation and mitochondrial dysfunction [52, 78]. In rat models, bile acids have been shown to inhibit mitochondrial respiration in a dose dependent manner [79–81] and to enhance the permeability of mitochondria to protons . Our findings, together with those of previous studies [77, 83], suggest that plasma bile acids may represent a sensitive non-invasive marker of liver dysfunction in HIV patients.
Elevated plasma LPS has been reported in alcoholic liver disease , NAFLD , and inflammatory bowel disease  and predicts progression to end-stage liver disease in patients with chronic HCV infection . Consistent with these findings, we found plasma LPS correlated positively with markers of hepatic function (bilirubin (E,E) and bilirubin (Z,Z)). The liver plays a key role in clearing LPS from the circulation, so increased plasma LPS may reflect decreased hepatic clearance [85, 87, 88]. In turn, circulating LPS may promote hepatic dysfunction by increasing hepatic inflammation and fibrosis . Unexpectedly, LPS, LBP, and bilirubin ((E,E) and (Z,Z)) were negatively correlated with LCFA. LCFA deficiency has been reported in patients with advanced cirrhosis and other liver diseases (acute hepatitis, cholestasis) [87, 89]. Thus, decreased plasma LCFA may be indicative of hepatic dysfunction in HIV patients. Together, these findings suggest complex inter-relationships between hepatic dysfunction, microbial translocation, and dyslipidemia in HIV patients on PI-based ART.
We acknowledge certain limitations of our study. We selected HIV subjects with advanced disease at increased risk for dyslipidemia (PI-based ART) and hepatic dysfunction (HCV). Further studies are required to define metabolic alterations in cohorts who are treatment-naive, at earlier stages of disease, on specific treatment regimens, with acute vs. chronic HCV infection, and with clinical evidence of metabolic abnormalities such as lipodystrophy and insulin resistance. Importantly, >60% of signature metabolites altered in HIV subjects on PI-based ART were also altered in an independent cohort of HIV subjects on NNRTI-based ART including sulfated steroids, bile acids, and LCFA (Additional file 2), indicating that many of the metabolite alterations we detected in HIV subjects on PI-based ART are not unique to this class of ART drugs. Future studies are required to better understand which metabolic abnormalities are associated with ART versus HIV infection. Individuals in both cohorts were predominantly African American. African Americans have higher rates of coronary heart disease and metabolic syndrome compared to Caucasians . Thus, further studies are needed to investigate these findings in other races/ethnicities. Finally, our study cohort was relatively small. Nonetheless, there was sufficient statistical power to identify metabolite sets with significant differences between HIV subjects with advanced disease and healthy controls. Despite these limitations, by applying stringent selection criteria, our study identified significant alterations in several important lipid classes associated with markers of inflammation and hepatic function in HIV patients on PI-based ART.
In summary, metabolomic profiling identified alterations in the plasma lipidome of HIV patients on PI-based ART, including increased bile acids and acylcarnitines and decreased sulfated steroids, PUFA, and LPC. Correlation analysis identified alterations in distinct lipid classes linked to markers of inflammation, microbial translocation, and hepatic function. Future studies are required to determine if these correlations reflect direct or indirect interactions and define the mechanisms underlying these inter-relationships. Many of the altered lipids represent important ligands of the nuclear receptor superfamily. Bile acids are endogenous ligands for FXR, which regulates bile acid biosynthesis and hepatic fatty acid and triglyceride biosynthesis . In mice, FXR activation protects against ritonavir-induced dyslipidemia and aortic plaque development, reverses insulin resistance and lipid abnormalities, and protects against hepatic steatosis [92, 93]. Sulfated steroids and bile acids are ligands for PXR and CAR, which regulate expression of Phase I and II drug-metabolizing enzymes and transporters and hepatic lipid metabolism . Omega-3 and omega-6 PUFA modulate transcription via interactions with PPARs, which increase fatty acid oxidation and suppress lipogenesis and control inflammation by transrepression of NF-κB, NFAT, AP-1, and STATs [39, 91]. Clinical trials have only shown modest effects of PPARα (fibrates) and PPARγ (thiazolidinediones and pioglitazone) agonists in reversing ART lipoatrophy [94, 95], while other studies suggested these drugs may be useful in treating ART-associated diabetes and NAFLD .
By untargeted metabolomic profiling, this study provides better understanding of metabolic abnormalities in HIV patients with advanced disease on PI-based ART. Lipid abnormalities were linked to markers of inflammation, microbial translocation, and hepatic function, suggesting that therapeutic strategies attenuating innate immune activation and hepatic dysfunction may offer new approaches for prevention and treatment of dyslipidemia on PI-based regimens. Conversely, reversing lipid abnormalities in HIV patients may be beneficial for attenuating inflammation, immune dysfunction, and hepatic dysfunction. Plasma bile acids may represent a sensitive non-invasive marker of liver dysfunction in HIV patients on ART. Untargeted metabolomic profiling represents a powerful tool for gaining a systems-level understanding of metabolic alterations and their relationship to dysfunction involving other organ systems that will be important for developing therapeutic strategies targeting metabolic disease and chronic inflammation in HIV patients on ART.
Carr A: HIV lipodystrophy: risk factors, pathogenesis, diagnosis and management. AIDS. 2003, 17 (Suppl 1): S141-148.
Brown TT, Glesby MJ: Management of the metabolic effects of HIV and HIV drugs. Nat Rev Endocrinol. 2012, 8 (1): 11-21.
Sulkowski MS: Management of hepatic complications in HIV-infected persons. J Infect Dis. 2008, 197 (Suppl 3): S279-293.
Sulkowski MS: Drug-induced liver injury associated with antiretroviral therapy that includes HIV-1 protease inhibitors. Clin Infect Dis. 2004, 38 (Suppl 2): S90-97.
Joshi D, O'Grady J, Dieterich D, Gazzard B, Agarwal K: Increasing burden of liver disease in patients with HIV infection. Lancet. 2011, 377 (9772): 1198-1209. 10.1016/S0140-6736(10)62001-6.
Guaraldi G, Squillace N, Stentarelli C, Orlando G, D'Amico R, Ligabue G, Fiocchi F, Zona S, Loria P, Esposito R: Nonalcoholic fatty liver disease in HIV-infected patients referred to a metabolic clinic: prevalence, characteristics, and predictors. Clin Infect Dis. 2008, 47 (2): 250-257. 10.1086/589294.
Lemoine M, Serfaty L, Capeau J: From nonalcoholic fatty liver to nonalcoholic steatohepatitis and cirrhosis in HIV-infected patients: diagnosis and management. Curr Opin Infect Dis. 2012, 25 (1): 10-16. 10.1097/QCO.0b013e32834ef599.
Zylberberg H, Nalpas B, Pol S, Brechot C, Viard JP: Is there a relationship between hepatitis C virus infection and antiretroviral-associated lipoatrophy?. AIDS. 2000, 14 (13): 2055-10.1097/00002030-200009080-00025.
Duong M, Petit JM, Piroth L, Grappin M, Buisson M, Chavanet P, Hillon P, Portier H: Association between insulin resistance and hepatitis C virus chronic infection in HIV-hepatitis C virus-coinfected patients undergoing antiretroviral therapy. J Acquir Immune Defic Syndr. 2001, 27 (3): 245-250.
Sulkowski MS, Mehta SH, Torbenson M, Afdhal NH, Mirel L, Moore RD, Thomas DL: Hepatic steatosis and antiretroviral drug use among adults coinfected with HIV and hepatitis C virus. AIDS. 2005, 19 (6): 585-592. 10.1097/01.aids.0000163935.99401.25.
Bani-Sadr F, Carrat F, Bedossa P, Piroth L, Cacoub P, Perronne C, Degott C, Pol S: Hepatic steatosis in HIV-HCV coinfected patients: analysis of risk factors. AIDS. 2006, 20 (4): 525-531. 10.1097/01.aids.0000210606.63138.f5.
McGovern BH, Ditelberg JS, Taylor LE, Gandhi RT, Christopoulos KA, Chapman S, Schwartzapfel B, Rindler E, Fiorino AM, Zaman MT: Hepatic steatosis is associated with fibrosis, nucleoside analogue use, and hepatitis C virus genotype 3 infection in HIV-seropositive patients. Clin Infect Dis. 2006, 43 (3): 365-372. 10.1086/505495.
Howard AA, Hoover DR, Anastos K, Wu X, Shi Q, Strickler HD, Cole SR, Cohen MH, Kovacs A, Augenbraun M: The effects of opiate use and hepatitis C virus infection on risk of diabetes mellitus in the Women's Interagency HIV Study. J Acquir Immune Defic Syndr. 2010, 54 (2): 152-159.
Butt AA, McGinnis K, Rodriguez-Barradas MC, Crystal S, Simberkoff M, Goetz MB, Leaf D, Justice AC: HIV infection and the risk of diabetes mellitus. AIDS. 2009, 23 (10): 1227-1234. 10.1097/QAD.0b013e32832bd7af.
Dai CY, Chuang WL, Ho CK, Hsieh MY, Huang JF, Lee LP, Hou NJ, Lin ZY, Chen SC, Wang LY: Associations between hepatitis C viremia and low serum triglyceride and cholesterol levels: a community-based study. J Hepatol. 2008, 49 (1): 9-16. 10.1016/j.jhep.2008.03.016.
Cooper CL, Mills E, Angel JB: Mitigation of antiretroviral-induced hyperlipidemia by hepatitis C virus co-infection. AIDS. 2007, 21 (1): 71-76. 10.1097/QAD.0b013e3280110ada.
Patroni A, Torti C, Tomasoni L, Roldan EQ, Bertelli D, Puoti M, Cadeo GP, Sleiman I, Tinelli C, Carosi G: Effect of highly active antiretroviral therapy (HAART) and hepatitis C Co-infection on hyperlipidemia in HIV-infected patients: a retrospective longitudinal study. HIV Clin Trials. 2002, 3 (6): 451-461. 10.1310/W024-QC4T-NXU0-TKYT.
Hui JM, Kench J, Farrell GC, Lin R, Samarasinghe D, Liddle C, Byth K, George J: Genotype-specific mechanisms for hepatic steatosis in chronic hepatitis C infection. J Gastroenterol Hepatol. 2002, 17 (8): 873-881. 10.1046/j.1440-1746.2002.02813.x.
Hourigan LF, Macdonald GA, Purdie D, Whitehall VH, Shorthouse C, Clouston A, Powell EE: Fibrosis in chronic hepatitis C correlates significantly with body mass index and steatosis. Hepatology. 1999, 29 (4): 1215-1219. 10.1002/hep.510290401.
Adinolfi LE, Gambardella M, Andreana A, Tripodi MF, Utili R, Ruggiero G: Steatosis accelerates the progression of liver damage of chronic hepatitis C patients and correlates with specific HCV genotype and visceral obesity. Hepatology. 2001, 33 (6): 1358-1364. 10.1053/jhep.2001.24432.
Patton HM, Patel K, Behling C, Bylund D, Blatt LM, Vallee M, Heaton S, Conrad A, Pockros PJ, McHutchison JG: The impact of steatosis on disease progression and early and sustained treatment response in chronic hepatitis C patients. J Hepatol. 2004, 40 (3): 484-490. 10.1016/j.jhep.2003.11.004.
AACTG) AACTG: Table for grading severity of adult adverse experiences. 1992, Bethesda, Md: National Institute of Allergy and Infectious Diseases (NIAID)
Johnson CA, Levey AS, Coresh J, Levin A, Lau J, Eknoyan G: Clinical practice guidelines for chronic kidney disease in adults: Part I. Definition, disease stages, evaluation, treatment, and risk factors. Am Fam Physician. 2004, 70 (5): 869-876.
Ancuta P, Kamat A, Kunstman KJ, Kim EY, Autissier P, Wurcel A, Zaman T, Stone D, Mefford M, Morgello S: Microbial translocation is associated with increased monocyte activation and dementia in AIDS patients. PLoS One. 2008, 3 (6): e2516-10.1371/journal.pone.0002516.
Evans AM, DeHaven CD, Barrett T, Mitchell M, Milgram E: Integrated, nontargeted ultrahigh performance liquid chromatography/electrospray ionization tandem mass spectrometry platform for the identification and relative quantification of the small-molecule complement of biological systems. Anal Chem. 2009, 81 (16): 6656-6667. 10.1021/ac901536h.
Brenchley JM, Price DA, Schacker TW, Asher TE, Silvestri G, Rao S, Kazzaz Z, Bornstein E, Lambotte O, Altmann D: Microbial translocation is a cause of systemic immune activation in chronic HIV infection. Nat Med. 2006, 12 (12): 1365-1371.
Puri P, Wiest MM, Cheung O, Mirshahi F, Sargeant C, Min HK, Contos MJ, Sterling RK, Fuchs M, Zhou H: The plasma lipidomic signature of nonalcoholic steatohepatitis. Hepatology. 2009, 50 (6): 1827-1838. 10.1002/hep.23229.
Kalhan SC, Guo L, Edmison J, Dasarathy S, McCullough AJ, Hanson RW, Milburn M: Plasma metabolomic profile in nonalcoholic fatty liver disease. Metabolism. 2011, 60 (3): 404-413. 10.1016/j.metabol.2010.03.006.
Barr J, Vazquez-Chantada M, Alonso C, Perez-Cormenzana M, Mayo R, Galan A, Caballeria J, Martin-Duce A, Tran A, Wagner C: Liquid chromatography-mass spectrometry-based parallel metabolic profiling of human and mouse model serum reveals putative biomarkers associated with the progression of nonalcoholic fatty liver disease. J Proteome Res. 2010, 9 (9): 4501-4512. 10.1021/pr1002593.
Shlomai A, Halfon P, Goldiner I, Zelber-Sagi S, Halpern Z, Oren R, Bruck R: Serum bile acid levels as a predictor for the severity of liver fibrosis in patients with chronic hepatitis C. J Viral Hepat. 2013, 20 (2): 95-102. 10.1111/j.1365-2893.2012.01628.x.
Sterling RK, Lissen E, Clumeck N, Sola R, Correa MC, Montaner J, SS M, Torriani FJ, Dieterich DT, Thomas DL: Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection. Hepatology. 2006, 43 (6): 1317-1325. 10.1002/hep.21178.
Nunes D, Fleming C, Offner G, Craven D, Fix O, Heeren T, Koziel MJ, Graham C, Tumilty S, Skolnik P: Noninvasive markers of liver fibrosis are highly predictive of liver-related death in a cohort of HCV-infected individuals with and without HIV infection. Am J Gastroenterol. 2010, 105 (6): 1346-1353. 10.1038/ajg.2009.746.
Shah AG, Smith PG, Sterling RK: Comparison of FIB-4 and APRI in HIV-HCV coinfected patients with normal and elevated ALT. Dig Dis Sci. 2011, 56 (10): 3038-3044. 10.1007/s10620-011-1710-2.
Resino S, Sanchez-Conde M, Berenguer J: Coinfection by human immunodeficiency virus and hepatitis C virus: noninvasive assessment and staging of fibrosis. Curr Opin Infect Dis. 2012, 25 (5): 564-569. 10.1097/QCO.0b013e32835635df.
Rath T, Roderfeld M, Guler C, Wenzel C, Graf J, Beitinger F, Roeb E, Zachoval R: YKL-40 and transient elastography, a powerful team to assess hepatic fibrosis. Scand J Gastroenterol. 2011, 46 (11): 1369-1380. 10.3109/00365521.2011.613949.
Fontana RJ, Dienstag JL, Bonkovsky HL, Sterling RK, Naishadham D, Goodman ZD, Lok AS, Wright EC, Su GL: Serum fibrosis markers are associated with liver disease progression in non-responder patients with chronic hepatitis C. Gut. 2010, 59 (10): 1401-1409. 10.1136/gut.2010.207423.
Fontana RJ, Goodman ZD, Dienstag JL, Bonkovsky HL, Naishadham D, Sterling RK, Su GL, Ghosh M, Wright EC: Relationship of serum fibrosis markers with liver fibrosis stage and collagen content in patients with advanced chronic hepatitis C. Hepatology. 2008, 47 (3): 789-798. 10.1002/hep.22099.
Wai CT, Greenson JK, Fontana RJ, Kalbfleisch JD, Marrero JA, Conjeevaram HS, Lok AS: A simple noninvasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C. Hepatology. 2003, 38 (2): 518-526. 10.1053/jhep.2003.50346.
Bensinger SJ, Tontonoz P: Integration of metabolism and inflammation by lipid-activated nuclear receptors. Nature. 2008, 454 (7203): 470-477. 10.1038/nature07202.
Sampath H, Ntambi JM: Polyunsaturated fatty acid regulation of genes of lipid metabolism. Annu Rev Nutr. 2005, 25: 317-340. 10.1146/annurev.nutr.25.051804.101917.
Wellen KE, Hotamisligil GS: Inflammation, stress, and diabetes. J Clin Invest. 2005, 115 (5): 1111-1119.
Grunfeld C, Feingold KR: Metabolic disturbances and wasting in the acquired immunodeficiency syndrome. N Engl J Med. 1992, 327 (5): 329-337. 10.1056/NEJM199207303270506.
Shor-Posner G, Basit A, Lu Y, Cabrejos C, Chang J, Fletcher M, Mantero-Atienza E, Baum MK: Hypocholesterolemia is associated with immune dysfunction in early human immunodeficiency virus-1 infection. Am J Med. 1993, 94 (5): 515-519. 10.1016/0002-9343(93)90087-6.
Constans J, Pellegrin JL, Peuchant E, Dumon MF, Pellegrin I, Sergeant C, Simonoff M, Brossard G, Barbeau P, Fleury H: Plasma lipids in HIV-infected patients: a prospective study in 95 patients. Eur J Clin Invest. 1994, 24 (6): 416-420. 10.1111/j.1365-2362.1994.tb02185.x.
Oh J, Hegele RA: HIV-associated dyslipidaemia: pathogenesis and treatment. Lancet Infect Dis. 2007, 7 (12): 787-796. 10.1016/S1473-3099(07)70287-6.
Ortiz A, Sanchez-Nino MD: The human plasma lipidome. N Engl J Med. 2012, 366 (7): 668-669. 668; author reply
McRae M, Rezk NL, Bridges AS, Corbett AH, Tien HC, Brouwer KL, Kashuba AD: Plasma bile acid concentrations in patients with human immunodeficiency virus infection receiving protease inhibitor therapy: possible implications for hepatotoxicity. Pharmacotherapy. 2010, 30 (1): 17-24. 10.1592/phco.30.1.17.
Thomas C, Pellicciari R, Pruzanski M, Auwerx J, Schoonjans K: Targeting bile-acid signalling for metabolic diseases. Nat Rev Drug Discov. 2008, 7 (8): 678-693. 10.1038/nrd2619.
Sampey BP, Freemerman AJ, Zhang J, Kuan PF, Galanko JA, O'Connell TM, Ilkayeva OR, Muehlbauer MJ, Stevens RD, Newgard CB: Metabolomic profiling reveals mitochondrial-derived lipid biomarkers that drive obesity-associated inflammation. PLoS One. 2012, 7 (6): e38812-10.1371/journal.pone.0038812.
Adams SH, Hoppel CL, Lok KH, Zhao L, Wong SW, Minkler PE, Hwang DH, Newman JW, Garvey WT: Plasma acylcarnitine profiles suggest incomplete long-chain fatty acid beta-oxidation and altered tricarboxylic acid cycle activity in type 2 diabetic African-American women. J Nutr. 2009, 139 (6): 1073-1081. 10.3945/jn.108.103754.
Shah SH, Bain JR, Muehlbauer MJ, Stevens RD, Crosslin DR, Haynes C, Dungan J, Newby LK, Hauser ER, Ginsburg GS: Association of a peripheral blood metabolic profile with coronary artery disease and risk of subsequent cardiovascular events. Circ Cardiovasc Genet. 2010, 3 (2): 207-214. 10.1161/CIRCGENETICS.109.852814.
Koves TR, Ussher JR, Noland RC, Slentz D, Mosedale M, Ilkayeva O, Bain J, Stevens R, Dyck JR, Newgard CB: Mitochondrial overload and incomplete fatty acid oxidation contribute to skeletal muscle insulin resistance. Cell Metab. 2008, 7 (1): 45-56. 10.1016/j.cmet.2007.10.013.
Noland RC, Koves TR, Seiler SE, Lum H, Lust RM, Ilkayeva O, Stevens RD, Hegardt FG, Muoio DM: Carnitine insufficiency caused by aging and overnutrition compromises mitochondrial performance and metabolic control. J Biol Chem. 2009, 284 (34): 22840-22852. 10.1074/jbc.M109.032888.
Traish AM, Kang HP, Saad F, Guay AT: Dehydroepiandrosterone (DHEA)–a precursor steroid or an active hormone in human physiology. J Sex Med. 2011, 8 (11): 2960-2982. 10.1111/j.1743-6109.2011.02523.x. quiz 2983
Grinspoon SK, Bilezikian JP: HIV disease and the endocrine system. N Engl J Med. 1992, 327 (19): 1360-1365. 10.1056/NEJM199211053271906.
Christeff N, Melchior JC, de Truchis P, Perronne C, Nunez EA, Gougeon ML: Lipodystrophy defined by a clinical score in HIV-infected men on highly active antiretroviral therapy: correlation between dyslipidaemia and steroid hormone alterations. AIDS. 1999, 13 (16): 2251-2260. 10.1097/00002030-199911120-00007.
Pachikian BD, Essaghir A, Demoulin JB, Neyrinck AM, Catry E, De Backer FC, Dejeans N, Dewulf EM, Sohet FM, Portois L: Hepatic n-3 polyunsaturated fatty acid depletion promotes steatosis and insulin resistance in mice: genomic analysis of cellular targets. PLoS One. 2011, 6 (8): e23365-10.1371/journal.pone.0023365.
Kim SJ, Zhang Z, Saha A, Sarkar C, Zhao Z, Xu Y, Mukherjee AB: Omega-3 and omega-6 fatty acids suppress ER- and oxidative stress in cultured neurons and neuronal progenitor cells from mice lacking PPT1. Neurosci Lett. 2010, 479 (3): 292-296. 10.1016/j.neulet.2010.05.083.
Pachikian BD, Neyrinck AM, Cani PD, Portois L, Deldicque L, De Backer FC, Bindels LB, Sohet FM, Malaisse WJ, Francaux M: Hepatic steatosis in n-3 fatty acid depleted mice: focus on metabolic alterations related to tissue fatty acid composition. BMC Physiol. 2008, 8: 21-10.1186/1472-6793-8-21.
Mellor AL, Munn DH: IDO expression by dendritic cells: tolerance and tryptophan catabolism. Nat Rev Immunol. 2004, 4 (10): 762-774. 10.1038/nri1457.
Murray MF: Tryptophan depletion and HIV infection: a metabolic link to pathogenesis. Lancet Infect Dis. 2003, 3 (10): 644-652. 10.1016/S1473-3099(03)00773-4.
Favre D, Mold J, Hunt PW, Kanwar B, Loke P, Seu L, Barbour JD, Lowe MM, Jayawardene A, Aweeka F: Tryptophan catabolism by indoleamine 2,3-dioxygenase 1 alters the balance of TH17 to regulatory T cells in HIV disease. Sci Transl Med. 2010, 2 (32): 32-36.
Serhan CN, Chiang N, Van Dyke TE: Resolving inflammation: dual anti-inflammatory and pro-resolution lipid mediators. Nat Rev Immunol. 2008, 8 (5): 349-361. 10.1038/nri2294.
Blanc M, Hsieh WY, Robertson KA, Watterson S, Shui G, Lacaze P, Khondoker M, Dickinson P, Sing G, Rodriguez-Martin S: Host defense against viral infection involves interferon mediated down-regulation of sterol biosynthesis. PLoS Biol. 2011, 9 (3): e1000598-10.1371/journal.pbio.1000598.
Castrillo A, Joseph SB, Vaidya SA, Haberland M, Fogelman AM, Cheng G, Tontonoz P: Crosstalk between LXR and toll-like receptor signaling mediates bacterial and viral antagonism of cholesterol metabolism. Mol Cell. 2003, 12 (4): 805-816. 10.1016/S1097-2765(03)00384-8.
De Benedetti F, Massa M, Pignatti P, Albani S, Novick D, Martini A: Serum soluble interleukin 6 (IL-6) receptor and IL-6/soluble IL-6 receptor complex in systemic juvenile rheumatoid arthritis. J Clin Invest. 1994, 93 (5): 2114-2119. 10.1172/JCI117206.
Dasgupta B, Corkill M, Kirkham B, Gibson T, Panayi G: Serial estimation of interleukin 6 as a measure of systemic disease in rheumatoid arthritis. J Rheumatol. 1992, 19 (1): 22-25.
Manolagas SC, Jilka RL: Bone marrow, cytokines, and bone remodeling. Emerging insights into the pathophysiology of osteoporosis. N Engl J Med. 1995, 332 (5): 305-311. 10.1056/NEJM199502023320506.
Ikeda U, Ikeda M, Seino Y, Takahashi M, Kano S, Shimada K: Interleukin 6 gene transcripts are expressed in atherosclerotic lesions of genetically hyperlipidemic rabbits. Atherosclerosis. 1992, 92 (2–3): 213-218.
Blum-Degen D, Muller T, Kuhn W, Gerlach M, Przuntek H, Riederer P: Interleukin-1 beta and interleukin-6 are elevated in the cerebrospinal fluid of Alzheimer's and de novo Parkinson's disease patients. Neurosci Lett. 1995, 202 (1–2): 17-20.
Wood JA, Wood PL, Ryan R, Graff-Radford NR, Pilapil C, Robitaille Y, Quirion R: Cytokine indices in Alzheimer's temporal cortex: no changes in mature IL-1 beta or IL-1RA but increases in the associated acute phase proteins IL-6, alpha 2-macroglobulin and C-reactive protein. Brain Res. 1993, 629 (2): 245-252. 10.1016/0006-8993(93)91327-O.
Straub RH, Konecna L, Hrach S, Rothe G, Kreutz M, Scholmerich J, Falk W, Lang B: Serum dehydroepiandrosterone (DHEA) and DHEA sulfate are negatively correlated with serum interleukin-6 (IL-6), and DHEA inhibits IL-6 secretion from mononuclear cells in man in vitro: possible link between endocrinosenescence and immunosenescence. J Clin Endocrinol Metab. 1998, 83 (6): 2012-2017. 10.1210/jc.83.6.2012.
Daynes RA, Araneo BA, Ershler WB, Maloney C, Li GZ, Ryu SY: Altered regulation of IL-6 production with normal aging. Possible linkage to the age-associated decline in dehydroepiandrosterone and its sulfated derivative. J Immunol. 1993, 150 (12): 5219-5230.
Blackard JT, Welge JA, Taylor LE, Mayer KH, Klein RS, Celentano DD, Jamieson DJ, Gardner L, Sherman KE: HIV mono-infection is associated with FIB-4 - A noninvasive index of liver fibrosis - in women. Clin Infect Dis. 2011, 52 (5): 674-680. 10.1093/cid/ciq199.
Berres ML, Papen S, Pauels K, Schmitz P, Zaldivar MM, Hellerbrand C, Mueller T, Berg T, Weiskirchen R, Trautwein C: A functional variation in CHI3L1 is associated with severity of liver fibrosis and YKL-40 serum levels in chronic hepatitis C infection. J Hepatol. 2009, 50 (2): 370-376. 10.1016/j.jhep.2008.09.016.
Tran A, Benzaken S, Saint-Paul MC, Guzman-Granier E, Hastier P, Pradier C, Barjoan EM, Demuth N, Longo F, Rampal P: Chondrex (YKL-40), a potential new serum fibrosis marker in patients with alcoholic liver disease. Eur J Gastroenterol Hepatol. 2000, 12 (9): 989-993. 10.1097/00042737-200012090-00004.
Mannes GA, Thieme C, Stellaard F, Wang T, Sauerbruch T, Paumgartner G: Prognostic significance of serum bile acids in cirrhosis. Hepatology. 1986, 6 (1): 50-53. 10.1002/hep.1840060110.
Hoppel C: The role of carnitine in normal and altered fatty acid metabolism. American j kidney dis official j National Kidney Foundation. 2003, 41 (4 Suppl 4): S4-12.
Spivey JR, Bronk SF, Gores GJ: Glycochenodeoxycholate-induced lethal hepatocellular injury in rat hepatocytes. Role of ATP depletion and cytosolic free calcium. J Clin Invest. 1993, 92 (1): 17-24. 10.1172/JCI116546.
Krahenbuhl S, Fischer S, Talos C, Reichen J: Ursodeoxycholate protects oxidative mitochondrial metabolism from bile acid toxicity: dose–response study in isolated rat liver mitochondria. Hepatology. 1994, 20 (6): 1595-1601. 10.1002/hep.1840200632.
Krahenbuhl S, Talos C, Fischer S, Reichen J: Toxicity of bile acids on the electron transport chain of isolated rat liver mitochondria. Hepatology. 1994, 19 (2): 471-479.
Rolo AP, Oliveira PJ, Moreno AJ, Palmeira CM: Bile acids affect liver mitochondrial bioenergetics: possible relevance for cholestasis therapy. Toxicol sci official j Society Toxicol. 2000, 57 (1): 177-185. 10.1093/toxsci/57.1.177.
Korman MG, Hofmann AF, Summerskill WH: Assessment of activity in chronic active liver disease. Serum bile acids compared with conventional tests and histology. N Engl J Med. 1974, 290 (25): 1399-1402. 10.1056/NEJM197406202902503.
Bode C, Kugler V, Bode JC: Endotoxemia in patients with alcoholic and non-alcoholic cirrhosis and in subjects with no evidence of chronic liver disease following acute alcohol excess. J Hepatol. 1987, 4 (1): 8-14. 10.1016/S0168-8278(87)80003-X.
Harte AL, da Silva NF, Creely SJ, McGee KC, Billyard T, Youssef-Elabd EM, Tripathi G, Ashour E, Abdalla MS, Sharada HM: Elevated endotoxin levels in non-alcoholic fatty liver disease. J Inflamm (Lond). 2010, 7: 15-10.1186/1476-9255-7-15.
Caradonna L, Amati L, Magrone T, Pellegrino NM, Jirillo E, Caccavo D: Enteric bacteria, lipopolysaccharides and related cytokines in inflammatory bowel disease: biological and clinical significance. J Endotoxin Res. 2000, 6 (3): 205-214.
Sandler NG, Koh C, Roque A, Eccleston JL, Siegel RB, Demino M, Kleiner DE, Deeks SG, Liang TJ, Heller T: Host response to translocated microbial products predicts outcomes of patients with HBV or HCV infection. Gastroenterology. 2011, 141 (4): 1220-1230. 10.1053/j.gastro.2011.06.063. 1230 e1221-1223
Hofer U, Schlaepfer E, Baenziger S, Nischang M, Regenass S, Schwendener R, Kempf W, Nadal D, Speck RF: Inadequate clearance of translocated bacterial products in HIV-infected humanized mice. PLoS Pathog. 2010, 6 (4): e1000867-10.1371/journal.ppat.1000867.
Cabre E, Gassull MA: Polyunsaturated fatty acid deficiency in liver diseases: pathophysiological and clinical significance. Nutrition. 1996, 12 (7–8): 542-548.
Ford ES, Giles WH, Dietz WH: Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002, 287 (3): 356-359. 10.1001/jama.287.3.356.
Wagner M, Zollner G, Trauner M: Nuclear receptors in liver disease. Hepatology. 2011, 53 (3): 1023-1034. 10.1002/hep.24148.
Mencarelli A, Cipriani S, Renga B, Francisci D, Palladino G, Distrutti E, Baldelli F, Fiorucci S: The bile acid sensor FXR protects against dyslipidemia and aortic plaques development induced by the HIV protease inhibitor ritonavir in mice. PLoS One. 2010, 5 (10): e13238-10.1371/journal.pone.0013238.
Cipriani S, Mencarelli A, Palladino G, Fiorucci S: FXR activation reverses insulin resistance and lipid abnormalities and protects against liver steatosis in Zucker (fa/fa) obese rats. J Lipid Res. 2010, 51 (4): 771-784. 10.1194/jlr.M001602.
Carr A, Workman C, Carey D, Rogers G, Martin A, Baker D, Wand H, Law M, Samaras K, Emery S: No effect of rosiglitazone for treatment of HIV-1 lipoatrophy: randomised, double-blind, placebo-controlled trial. Lancet. 2004, 363 (9407): 429-438. 10.1016/S0140-6736(04)15489-5.
Slama L, Lanoy E, Valantin MA, Bastard JP, Chermak A, Boutekatjirt A, William-Faltaos D, Billaud E, Molina JM, Capeau J: Effect of pioglitazone on HIV-1-related lipodystrophy: a randomized double-blind placebo-controlled trial (ANRS 113). Antivir Ther. 2008, 13 (1): 67-76.
Walli R, Michl GM, Muhlbayer D, Brinkmann L, Goebel FD: Effects of troglitazone on insulin sensitivity in HIV-infected patients with protease inhibitor-associated diabetes mellitus. Res Exp Med (Berl). 2000, 199 (5): 253-262. 10.1007/s004330050123.
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2334/13/203/prepub
This work was supported by the National Institute on Drug Abuse (NIDA) grant DP1 DA028994 to D.G. E.C. was supported by a fellowship from Canadian Institutes of Health Research (CIHR). NNTC and CHARTER sites were supported by National Institute of Mental Health (NIMH) and National Institute of Neurological Disorders and Stroke (NINDS) (grants U01MH083501, R24MH59724, U01MH083507, R24NS45491, U01MH083500, R24NS38841, U01MH083506, R24MH59745, U01MH083545, N01MH32002, and N01MH22005). Core facilities were supported by the Harvard Center for AIDS Research grant (P30 AI060354) and Dana-Farber Cancer Institute/Harvard Center for Cancer Research grant (P30 CA065/6).
The authors declare that they have no competing interests.
EC performed the experiments and data analysis, drafted the manuscript, and prepared figures. VM performed bioinformatics and statistical analysis and prepared figures. AH and AK carried out part of the data analysis and contributed to study design and bioinformatics. SM participated in study design, data analysis, and manuscript editing. DG conceived of the study, participated in its design, coordination, and data analysis, and helped write and edit the manuscript. All authors read, participated in editing the manuscript, and approved the final manuscript.
Electronic supplementary material
Additional file 1: Alterations in the plasma metabolome of HIV patients on PI-based ART compared to healthy controls. Shown is 682 the total dataset of 227 metabolites detected in the initial and validation 683 cohorts following data pre-processing. Significantly altered metabolites 684 were defined by a fold change (FC) >1.3, p-value <0.05, and FDR ≤0.1. (XLS 26 KB)
Additional file 2: Majority of signature metabolites are altered in an independent cohort of HIV subjects on NNRTI-based ART. An independent 674 cohort of HIV subjects on NNRTI-based ART (n=8) was matched to HIV 675 subjects in initial and validation cohorts by age, gender, HCV serostatus, 676 and stage of HIV disease (nadir and current CD4 count). Significantly 677 altered metabolites were defined by a FC >1.3, p-value ≤0.1 and FDR 678 ≤0.1 compared to healthy controls (n=8) matched for age, gender, and 679 race/ethnicity. (XLS 60 KB)
Additional file 3: Sub-analysis of HIV plasma metabolome according to HCV serostatus. Analysis was performed on a subset of HIV subjects with (n=10) and without HCV co-infection (n=7) matched for age, gender, and race/ethnicity. Shown is the total dataset of 227 metabolites detected in the initial and validation cohorts following data pre-processing. Significantly altered metabolites were defined by a FC >1.3, p-value ≤0.1 and FDR ≤0.1 compared to healthy controls (n=8) matched for age, gender, and race/ethnicity. (XLS 67 KB)
Additional file 4: Alterations in the plasma lipidome of all HIV subjects compared to controls. Shown are 113 lipids detected in the merged dataset of all HIV subjects on PI-based ART (n=32) compared to healthy controls (n=20). Significantly altered metabolites were defined by a FC >1.3, p-value <0.05 and FDR ≤0.1. (XLS 34 KB)
Additional file 5: Pearson correlation analysis of lipid metabolites detected in plasma from HIV patients on PI-based ART. Pearson correlation analysis was performed in R using cor.test function. FDR were generated in R using fdrtool. Shown are correlation coefficients (p-values) (FDR). (XLS 168 KB)
Additional file 6: Lipid metabolites detected in plasma from HIV patients on PI-based ART and HIV-negative individuals with NAFLD/NASH. NAFLD and NASH datasets were based on results from 3 previously published studies [36–38]. Red metabolites were altered in HIV patients compared to healthy controls in the present study or were previously reported to be altered in patients with NAFLD or NASH compared to healthy controls. (XLS 28 KB)
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Cassol, E., Misra, V., Holman, A. et al. Plasma metabolomics identifies lipid abnormalities linked to markers of inflammation, microbial translocation, and hepatic function in HIV patients receiving protease inhibitors. BMC Infect Dis 13, 203 (2013). https://doi.org/10.1186/1471-2334-13-203
- Antiretroviral therapy
- Protease inhibitors
- Hepatic dysfunction