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Dirajlal-Fargo S, Yu W, Jacobson DL, Mirza A, Geffner ME, Jao J, McComsey GA. Gut permeability is associated with lower insulin sensitivity in youth with perinatally acquired HIV. AIDS 2024; 38:1163-1171. [PMID: 38564437 PMCID: PMC11141233 DOI: 10.1097/qad.0000000000003896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The relationships between alterations in the intestinal barrier, and bacterial translocation with the development of metabolic complications in youth with perinatally acquired HIV (YPHIV) have not been investigated. The PHACS Adolescent Master Protocol enrolled YPHIV across 15 U.S. sites, including Puerto Rico, from 2007 to 2009. For this analysis, we included YPHIV with HIV viral load 1000 c/ml or less, with at least one measurement of homeostatic assessment of insulin resistance (HOMA-IR) or nonhigh density lipoprotein (non-HDLc) between baseline and year 3 and plasma levels of intestinal fatty-acid binding protein (I-FABP), lipopolysaccharide-binding protein (LBP), and zonulin levels at baseline. We fit linear regression models using generalized estimating equations to assess the association of baseline log 10 gut markers with log 10 HOMA-IR and non-HDLc at all timepoints. HOMA-IR or non-HDLc was measured in 237, 189, and 170 PHIV at baseline, Yr2, and Yr3, respectively. At baseline, median age (Q1, Q3) was 12 years (10, 14), CD4 + cell count was 762 cells/μl (574, 984); 90% had HIV RNA less than 400 c/ml. For every 10-fold higher baseline I-FABP, HOMA-IR dropped 0.85-fold at baseline and Yr2. For a 10-fold higher baseline zonulin, there was a 1.35-fold increase in HOMA-IR at baseline, 1.23-fold increase in HOMA-IR at Yr2, and 1.20-fold increase in HOMA-IR at Yr3 in adjusted models. For a 10-fold higher baseline LBP, there was a 1.23-fold increase in HOMA-IR at baseline in the unadjusted model, but this was slightly attenuated in the adjusted model. Zonulin was associated with non-HDLc at baseline, but not for the other time points. Despite viral suppression, intestinal damage may influence downstream insulin sensitivity in YPHIV.
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Affiliation(s)
- Sahera Dirajlal-Fargo
- Rainbow Babies and Children's Hospital and Case Western Reserve University, Cleveland, Ohio
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Wendy Yu
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Denise L Jacobson
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Ayesha Mirza
- University of Florida Health, Jacksonville, Florida
| | - Mitchell E Geffner
- The Saban Research Institute of Children's Hospital Los Angeles, Los Angeles, California
| | - Jennifer Jao
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Grace A McComsey
- Rainbow Babies and Children's Hospital and Case Western Reserve University, Cleveland, Ohio
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de Lazzari E, Negredo EB, Domingo P, Tiraboschi JM, Ribera E, Abdulghani N, Alba V, Fernández-Arroyo S, Viladés C, Peraire J, Gatell JM, Blanco JL, Vidal F, Rull A, Martinez E. Multiomics plasma effects of switching from triple antiretroviral regimens to dolutegravir plus lamivudine. J Antimicrob Chemother 2024; 79:1133-1141. [PMID: 38546974 PMCID: PMC11062938 DOI: 10.1093/jac/dkae083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 03/06/2024] [Indexed: 05/03/2024] Open
Abstract
INTRODUCTION The DOLAM trial revealed that switching from triple antiretroviral therapy (three-drug regimen; 3DR) to dolutegravir plus lamivudine (two-drug regimen; 2DR) was virologically non-inferior to continuing 3DR after 48 weeks of follow-up. Weight increased with 2DR relative to 3DR but it did not impact on metabolic parameters. METHODS Multiomics plasma profile was performed to gain further insight into whether this therapy switch might affect specific biological pathways. DOLAM (EudraCT 201500027435) is a Phase 4, randomized, open-label, non-inferiority trial in which virologically suppressed persons with HIV treated with 3DR were assigned (1:1) to switch to 2DR or to continue 3DR for 48 weeks. Untargeted proteomics, metabolomics and lipidomics analyses were performed at baseline and at 48 weeks. Univariate and multivariate analyses were performed to identify changes in key molecules between both therapy arms. RESULTS Switching from 3DR to 2DR showed a multiomic impact on circulating plasma concentration of N-acetylmuramoyl-L-alanine amidase (Q96PD5), insulin-like growth factor-binding protein 3 (A6XND0), alanine and triglyceride (TG) (48:0). Correlation analyses identified an association among the up-regulation of these four molecules in persons treated with 2DR. CONCLUSIONS Untargeted multiomics profiling studies identified molecular changes potentially associated with inflammation immune pathways, and with lipid and glucose metabolism. Although these changes could be associated with potential metabolic or cardiovascular consequences, their clinical significance remains uncertain. Further work is needed to confirm these findings and to assess their long-term clinical consequences.
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Affiliation(s)
- Elisa de Lazzari
- Hospital Clinic - IDIBAPS, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat de Barcelona, Barcelona, Spain
| | - Eugenia B Negredo
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lluita contra les Infeccions, Hospital Universitari Germans Trias i Pujol, Badalona, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Pere Domingo
- Infectious Diseases Unit, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | | | - Esteve Ribera
- Hospital Universitario de la Vall d’Hebron, Barcelona, Spain
| | | | - Verònica Alba
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Infection and Immunity Research Group (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII, Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Salvador Fernández-Arroyo
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences, Joint Unit Eurecat-Universitat Rovira i Virgili, Unique Scientific and Technical Infrastructure (ICTS), 43204 Reus, Spain
| | - Consuelo Viladés
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Infection and Immunity Research Group (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII, Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Joaquim Peraire
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Infection and Immunity Research Group (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII, Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Jose M Gatell
- Universitat de Barcelona, Barcelona, Spain
- ViiV Healthcare, Barcelona, Spain
| | - Jose L Blanco
- Hospital Clinic - IDIBAPS, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Francesc Vidal
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Infection and Immunity Research Group (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII, Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Anna Rull
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Infection and Immunity Research Group (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII, Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Esteban Martinez
- Hospital Clinic - IDIBAPS, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat de Barcelona, Barcelona, Spain
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van der Post J, Guerra TEJ, van den Hof M, Vaz FM, Pajkrt D, van Genderen JG. Plasma Lipidomic Profiles in cART-Treated Adolescents with Perinatally Acquired HIV Compared to Matched Controls. Viruses 2024; 16:580. [PMID: 38675922 PMCID: PMC11053976 DOI: 10.3390/v16040580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 03/29/2024] [Accepted: 04/03/2024] [Indexed: 04/28/2024] Open
Abstract
Children with perinatally acquired human immunodeficiency virus (PHIV) are growing into adulthood with HIV and treatment-associated comorbidities, such as dyslipidemia and insulin resistance. HIV is identified as independent risk factor for cardiovascular disease (CVD). The hypothesis behind increased CVD risk associated with HIV includes vascular inflammation, dyslipidemia and combination antiretroviral therapy (cART) metabolomic toxicity. To investigate differences in lipid profiles and pathophysiological mechanisms of CVD risk in adolescents with PHIV, we compared the plasma lipidome of PHIV adolescents and HIV-negative controls. We additionally investigated the influence of current cART regimens and increased lipoprotein(a) (Lp(a)) levels on the plasma lipidome. We included 20 PHIV-infected adolescents and 20 HIV-negative controls matched for age, sex, ethnic origin and socio-economic status. Plasma lipidome was measured using Thermo Scientific Ultimate 3000 binary high-performance liquid chromatography (HPLC)-mass spectrometry. We evaluated the plasma lipidome in PHIV adolescents using different cART regimens (including those known to be associated with lipid alterations). The median age was 17.5 years (15.5-20.7) and 16.5 years (15.7-19.8) for PHIV adolescents and controls, respectively. Of PHIV adolescents, 45% used a non-nucleotide reverse transcriptase inhibitor (NNRTI)-based (25%) or protease inhibitor (PI)-based (20%) cART regimen. In this pilot study, we observed no significant differences between lipidomic profiles between PHIV adolescents and controls. We observed no differences in the plasma lipidome in participants with increased versus normal Lp(a) levels. Different cART regimens appear to influence chain length differences in the plasma lipidome of PHIV adolescents; however, the significance and causality of this observation remains undetermined. Further research on the influence of cART on lipid composition could further identify these alterations.
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Affiliation(s)
- Julie van der Post
- Department of Pediatric Infectious Diseases, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, 1100 DD Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | - Thiara E. J. Guerra
- Department of Pediatric Infectious Diseases, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, 1100 DD Amsterdam, The Netherlands
| | - Malon van den Hof
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Public Health, Ageing & Later Life, Health Behaviors and Chronic Diseases, Amsterdam, The Netherlands
| | - Frédéric M. Vaz
- Department of Clinical Chemistry and Pediatrics, Laboratory Genetic Metabolic Diseases, Emma Children’s Hospital, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands;
- Amsterdam Gastroenterology Endocrinology Metabolism, Inborn Errors of Metabolism, Amsterdam, The Netherlands
- Core Facility Metabolomics, Amsterdam UMC, Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Dasja Pajkrt
- Department of Pediatric Infectious Diseases, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, 1100 DD Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Amsterdam Infectious Diseases and Immunology Research Institute, Amsterdam, The Netherlands
| | - Jason G. van Genderen
- Department of Pediatric Infectious Diseases, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, 1100 DD Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
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Privatt SR, Braga CP, Johnson A, Lidenge SJ, Berry L, Ngowi JR, Ngalamika O, Chapple AG, Mwaiselage J, Wood C, West JT, Adamec J. Comparative polar and lipid plasma metabolomics differentiate KSHV infection and disease states. Cancer Metab 2023; 11:13. [PMID: 37653396 PMCID: PMC10470137 DOI: 10.1186/s40170-023-00316-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 08/22/2023] [Indexed: 09/02/2023] Open
Abstract
BACKGROUND Kaposi sarcoma (KS) is a neoplastic disease etiologically associated with infection by the Kaposi sarcoma-associated herpesvirus (KSHV). KS manifests primarily as cutaneous lesions in individuals due to either age (classical KS), HIV infection (epidemic KS), or tissue rejection preventatives in transplantation (iatrogenic KS) but can also occur in individuals, predominantly in sub-Saharan Africa (SSA), lacking any obvious immune suppression (endemic KS). The high endemicity of KSHV and human immunodeficiency virus-1 (HIV) co-infection in Africa results in KS being one of the top 5 cancers there. As with most viral cancers, infection with KSHV alone is insufficient to induce tumorigenesis. Indeed, KSHV infection of primary human endothelial cell cultures, even at high levels, is rarely associated with long-term culture, transformation, or growth deregulation, yet infection in vivo is sustained for life. Investigations of immune mediators that distinguish KSHV infection, KSHV/HIV co-infection, and symptomatic KS disease have yet to reveal consistent correlates of protection against or progression to KS. In addition to viral infection, it is plausible that pathogenesis also requires an immunological and metabolic environment permissive to the abnormal endothelial cell growth evident in KS tumors. In this study, we explored whether plasma metabolomes could differentiate asymptomatic KSHV-infected individuals with or without HIV co-infection and symptomatic KS from each other. METHODS To investigate how metabolic changes may correlate with co-infections and tumorigenesis, plasma samples derived from KSHV seropositive sub-Saharan African subjects in three groups, (A) asymptomatic (lacking neoplastic disease) with KSHV infection only, (B) asymptomatic co-infected with KSHV and HIV, and (C) symptomatic with clinically diagnosed KS, were subjected to analysis of lipid and polar metabolite profiles RESULTS: Polar and nonpolar plasma metabolic differentials were evident in both comparisons. Integration of the metabolic findings with our previously reported KS transcriptomics data suggests dysregulation of amino acid/urea cycle and purine metabolic pathways, in concert with viral infection in KS disease progression. CONCLUSIONS This study is, to our knowledge, the first to report human plasma metabolic differentials between in vivo KSHV infection and co-infection with HIV, as well as differentials between co-infection and epidemic KS.
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Affiliation(s)
- Sara R Privatt
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, NE, USA
- Department of Interdisciplinary Oncology, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | | | - Alicia Johnson
- Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA
- Redox Biology Center, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Salum J Lidenge
- Ocean Road Cancer Institute, Dar Es Salaam, Tanzania
- Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania
| | - Luke Berry
- Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA
- Redox Biology Center, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - John R Ngowi
- Ocean Road Cancer Institute, Dar Es Salaam, Tanzania
| | - Owen Ngalamika
- Dermatology and Venereology Section, Adult Hospital of the University Teaching Hospitals, University of Zambia School of Medicine, Lusaka, Zambia
| | - Andrew G Chapple
- Department of Interdisciplinary Oncology, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Julius Mwaiselage
- Ocean Road Cancer Institute, Dar Es Salaam, Tanzania
- Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania
| | - Charles Wood
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, NE, USA
- Department of Interdisciplinary Oncology, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - John T West
- Department of Interdisciplinary Oncology, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
| | - Jiri Adamec
- Department of Interdisciplinary Oncology, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
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Liang X, Qi X, Yang J, Wang X, Qin H, Hu F, Bai H, Li Y, Zhang C, Shi B. Lipid alternations in the plasma of COVID-19 patients with various clinical presentations. Front Immunol 2023; 14:1221493. [PMID: 37705971 PMCID: PMC10495680 DOI: 10.3389/fimmu.2023.1221493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 07/21/2023] [Indexed: 09/15/2023] Open
Abstract
Background COVID-19 is a highly infectious respiratory disease that can manifest in various clinical presentations. Although many studies have reported the lipidomic signature of COVID-19, the molecular changes in asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected individuals remain elusive. Methods This study combined a comprehensive lipidomic analysis of 220 plasma samples from 166 subjects: 62 healthy controls, 16 asymptomatic infections, and 88 COVID-19 patients. We quantified 732 lipids separately in this cohort. We performed a difference analysis, validated with machine learning models, and also performed GO and KEGG pathway enrichment analysis using differential lipids from different control groups. Results We found 175 differentially expressed lipids associated with SASR-CoV-2 infection, disease severity, and viral persistence in patients with COVID-19. PC (O-20:1/20:1), PC (O-20:1/20:0), and PC (O-18:0/18:1) better distinguished asymptomatic infected individuals from normal individuals. Furthermore, some patients tested positive for SARS-CoV-2 nucleic acid by RT-PCR but did not become negative for a longer period of time (≥60 days, designated here as long-term nucleic acid test positive, LTNP), whereas other patients became negative for viral nucleic acid in a shorter period of time (≤45 days, designated as short-term nucleic acid test positive, STNP). We have found that TG (14:1/14:1/18:2) and FFA (4:0) were differentially expressed in LTNP and STNP. Conclusion In summary, the integration of lipid information can help us discover novel biomarkers to identify asymptomatic individuals and further deepen our understanding of the molecular pathogenesis of COVID-19.
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Affiliation(s)
- Xiao Liang
- Cancer Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Precision Medicine Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xin Qi
- Cancer Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Precision Medicine Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Jin Yang
- Cancer Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Precision Medicine Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Department of Medical Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xiaorui Wang
- Precision Medicine Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Hongyu Qin
- Precision Medicine Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Fang Hu
- Precision Medicine Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Han Bai
- The MED-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yixin Li
- Precision Medicine Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- The MED-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Chengsheng Zhang
- The MED-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, United States
| | - Bingyin Shi
- Department of Endocrinology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
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Svensson Akusjärvi S, Krishnan S, Ambikan AT, Mikaeloff F, Munusamy Ponnan S, Vesterbacka J, Lourda M, Nowak P, Sönnerborg A, Neogi U. Role of myeloid cells in system-level immunometabolic dysregulation during prolonged successful HIV-1 treatment. AIDS 2023; 37:1023-1033. [PMID: 36779490 PMCID: PMC10155691 DOI: 10.1097/qad.0000000000003512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/19/2023] [Accepted: 02/01/2023] [Indexed: 02/14/2023]
Abstract
OBJECTIVE Why people with HIV-1 on ART (PWH ART ) display convoluted metabolism and immune cell functions during prolonged suppressive therapy is not well evaluated. In this study, we aimed to address this question using multiomics methodologies to investigate immunological and metabolic differences between PWH ART and HIV-1 negative individuals (HC). DESIGN Cross-sectional study. METHODS Untargeted and targeted metabolomics was performed using gas and liquid chromatography/mass spectrometry, and targeted proteomics using Olink inflammation panel on plasma samples. The cellular metabolic state was further investigated using flow cytometry and intracellular metabolic measurement in single-cell populations isolated by EasySep cell isolation. Finally, flow cytometry was performed for deep-immunophenotyping of mononuclear phagocytes. RESULTS We detected increased levels of glutamate, lactate, and pyruvate by plasma metabolomics and increased inflammatory markers (e.g. CCL20 and CCL7) in PWH ART compared to HC. The metabolite transporter detection by flow cytometry in T cells and monocytes indicated an increased expression of glucose transporter 1 (Glut1) and monocarboxylate transporter 1 (MCT-1) in PWH ART . Single cell-type metabolite measurement identified decreased glucose, glutamate, and lactate in monocytic cell populations in PWH ART . Deep-immunophenotyping of myeloid cell lineages subpopulations showed no difference in cell frequency, but expression levels of CCR5 were increased on classical monocytes and some dendritic cells. CONCLUSIONS Our data thus suggest that the myeloid cell populations potentially contribute significantly to the modulated metabolic environment during suppressive HIV-1 infection.
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Affiliation(s)
- Sara Svensson Akusjärvi
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Shuba Krishnan
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Anoop T. Ambikan
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Flora Mikaeloff
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Sivasankaran Munusamy Ponnan
- HIV Vaccine Trials Network, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Centre, Seattle, USA
| | - Jan Vesterbacka
- Department of Medicine Huddinge (MedH), Karolinska Institutet, Stockholm
| | - Magda Lourda
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, ANA Futura, Campus Flemingsberg
- Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Piotr Nowak
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
- Department of Medicine Huddinge (MedH), Karolinska Institutet, Stockholm
| | - Anders Sönnerborg
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
- Department of Medicine Huddinge (MedH), Karolinska Institutet, Stockholm
| | - Ujjwal Neogi
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
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Yang J, Wang D, Li Y, Wang H, Hu Q, Wang Y. Metabolomics in viral hepatitis: advances and review. Front Cell Infect Microbiol 2023; 13:1189417. [PMID: 37265499 PMCID: PMC10229802 DOI: 10.3389/fcimb.2023.1189417] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 04/28/2023] [Indexed: 06/03/2023] Open
Abstract
Viral hepatitis is a major worldwide public health issue, affecting hundreds of millions of people and causing substantial morbidity and mortality. The majority of the worldwide burden of viral hepatitis is caused by five biologically unrelated hepatotropic viruses: hepatitis A virus (HAV), hepatitis B virus (HBV), hepatitis C virus (HCV), hepatitis D virus (HDV), and hepatitis E virus (HEV). Metabolomics is an emerging technology that uses qualitative and quantitative analysis of easily accessible samples to provide information of the metabolic levels of biological systems and changes in metabolic and related regulatory pathways. Alterations in glucose, lipid, and amino acid levels are involved in glycolysis, the tricarboxylic acid cycle, the pentose phosphate pathway, and amino acid metabolism. These changes in metabolites and metabolic pathways are associated with the pathogenesis and medication mechanism of viral hepatitis and related diseases. Additionally, differential metabolites can be utilized as biomarkers for diagnosis, prognosis, and therapeutic responses. In this review, we present a thorough overview of developments in metabolomics for viral hepatitis.
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Affiliation(s)
- Jiajia Yang
- Department of Infection Management, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Dawei Wang
- Department of Infectious Disease, The Second People’s Hospital of Yancheng City, Yancheng, China
| | - Yuancheng Li
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections (STIs), Nanjing, China
| | - Hongmei Wang
- Department of Infection Management, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Qiang Hu
- Department of Infection Management, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
- Department of Respiratory and Critical Care Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Ying Wang
- Department of Infection Management, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
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8
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Xu H, Xu J, Liu X, Song W, Lyu X, Guo X, Hu W, Yang H, Wang L, Pan H, Chen J, Xing X, Zhu H, Sun W, Gong F. Serum metabolomics profiling of improved metabolic syndrome is characterized by decreased pro-inflammatory biomarkers: A longitudinal study in Chinese male adults. Nutr Res 2023; 115:13-25. [PMID: 37216838 DOI: 10.1016/j.nutres.2023.04.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 05/24/2023]
Abstract
Metabolic syndrome (MetS) is a serious global health concern. The objective of this study is to dynamically investigate the changes of metabolic profiles and metabolites in Chinese male MetS subjects after an 18 months diet and exercise intervention. Fifty male MetS patients defined according to International Diabetes Federation 2005 guidelines were subjected to diet and exercise counseling for 18 months. Serum samples were taken at baseline, 12 months, and 18 months, respectively, for clinical evaluation and metabolomics analyses. Diet and exercise intervention for 18 months achieved significant improvements in the metabolic profiles of all participants. Nineteen subjects (38.0%) exhibited MetS remission at the end of the study. A total of 812 relative features were characterized and 61 were successfully identified. Furthermore, 17 differential metabolites were of significance at both time points (baseline-12 months, baseline-18 months) and presented nonlinear trends through time. Eight metabolites (47.1%) were predominantly converged to inflammation and oxidative stress. Pro-inflammatory biomarkers were remarkably decreased after 18 months of intervention, and prostaglandin E2, neuroprotectin D1, and taxiphyllin in combination were firstly found to demonstrate a fair discriminative power (area under curve = 0.911) to predict the improvement of MetS undergone diet and exercise intervention. The significant shift of metabolomic profiling after 18 months of lifestyle counseling provide a novel insight and reveal that earlier inflammation control may be of potential benefit in MetS management.
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Affiliation(s)
- Hanyuan Xu
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China; Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Jiyu Xu
- Institute of Basic Medical Sciences, School of Basic Medicine, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaoyan Liu
- Institute of Basic Medical Sciences, School of Basic Medicine, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Wei Song
- Medical Science Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Xiaorui Lyu
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Xiaonan Guo
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Wenjing Hu
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Hongbo Yang
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Linjie Wang
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Hui Pan
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Jichun Chen
- Nutrition Department, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Xicheng District, Beijing, China
| | - Xiaoping Xing
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Huijuan Zhu
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
| | - Wei Sun
- Institute of Basic Medical Sciences, School of Basic Medicine, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
| | - Fengying Gong
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
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9
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Mikaeloff F, Gelpi M, Benfeitas R, Knudsen AD, Vestad B, Høgh J, Hov JR, Benfield T, Murray D, Giske CG, Mardinoglu A, Trøseid M, Nielsen SD, Neogi U. Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection. eLife 2023; 12:82785. [PMID: 36794912 PMCID: PMC10017104 DOI: 10.7554/elife.82785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 02/15/2023] [Indexed: 02/17/2023] Open
Abstract
Multiomics technologies improve the biological understanding of health status in people living with HIV on antiretroviral therapy (PWH). Still, a systematic and in-depth characterization of metabolic risk profile during successful long-term treatment is lacking. Here, we used multi-omics (plasma lipidomic, metabolomic, and fecal 16 S microbiome) data-driven stratification and characterization to identify the metabolic at-risk profile within PWH. Through network analysis and similarity network fusion (SNF), we identified three groups of PWH (SNF-1-3): healthy (HC)-like (SNF-1), mild at-risk (SNF-3), and severe at-risk (SNF-2). The PWH in the SNF-2 (45%) had a severe at-risk metabolic profile with increased visceral adipose tissue, BMI, higher incidence of metabolic syndrome (MetS), and increased di- and triglycerides despite having higher CD4+ T-cell counts than the other two clusters. However, the HC-like and the severe at-risk group had a similar metabolic profile differing from HIV-negative controls (HNC), with dysregulation of amino acid metabolism. At the microbiome profile, the HC-like group had a lower α-diversity, a lower proportion of men having sex with men (MSM) and was enriched in Bacteroides. In contrast, in at-risk groups, there was an increase in Prevotella, with a high proportion of MSM, which could potentially lead to higher systemic inflammation and increased cardiometabolic risk profile. The multi-omics integrative analysis also revealed a complex microbial interplay of the microbiome-associated metabolites in PWH. Those severely at-risk clusters may benefit from personalized medicine and lifestyle intervention to improve their dysregulated metabolic traits, aiming to achieve healthier aging.
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Affiliation(s)
- Flora Mikaeloff
- The Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska InstituteStockholmSweden
| | - Marco Gelpi
- Copenhagen University Hospital RigshospitaletCopenhagenDenmark
| | - Rui Benfeitas
- National Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm UniversityStockholmSweden
| | | | - Beate Vestad
- Research Institute of Internal Medicine, Oslo University Hospital RikshospitaletOsloNorway
- Norwegian PSC Research Center, Oslo University Hospital RikshospitaletOsloNorway
| | - Julie Høgh
- Copenhagen University Hospital RigshospitaletCopenhagenDenmark
| | - Johannes R Hov
- Research Institute of Internal Medicine, Oslo University Hospital RikshospitaletOsloNorway
- Norwegian PSC Research Center, Oslo University Hospital RikshospitaletOsloNorway
- Institute of Clinical Medicine, University of OsloOsloNorway
| | - Thomas Benfield
- Department of Infectious Diseases, Copenhagen University Hospital – Amager and HvidovreHvidovreDenmark
| | - Daniel Murray
- Centre of Excellence for Health, Immunity and Infections (CHIP), Rigshospitalet, University of CopenhagenCopenhagenDenmark
| | - Christian G Giske
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska InstitutetStockholmSweden
| | - Adil Mardinoglu
- Science for Life Laboratory, KTH - Royal Institute of TechnologyStockholmSweden
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College LondonLondonUnited Kingdom
| | - Marius Trøseid
- Research Institute of Internal Medicine, Oslo University Hospital RikshospitaletOsloNorway
- Institute of Clinical MedicineOsloNorway
| | | | - Ujjwal Neogi
- The Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska InstituteStockholmSweden
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10
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Ambikan AT, Svensson-Akusjärvi S, Krishnan S, Sperk M, Nowak P, Vesterbacka J, Sönnerborg A, Benfeitas R, Neogi U. Genome-scale metabolic models for natural and long-term drug-induced viral control in HIV infection. Life Sci Alliance 2022; 5:5/9/e202201405. [PMID: 35537851 PMCID: PMC9095731 DOI: 10.26508/lsa.202201405] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 05/02/2022] [Accepted: 05/02/2022] [Indexed: 12/21/2022] Open
Abstract
A system-level up-regulation of OXPHOS and glycolysis could play a role in latent reservoir dynamics and immunosenescence in HIV-1–infected individuals with long-term successful therapy. Genome-scale metabolic models (GSMMs) can provide novel insights into metabolic reprogramming during disease progression and therapeutic interventions. We developed a context-specific system-level GSMM of people living with HIV (PLWH) using global RNA sequencing data from PBMCs with suppressive viremia either by natural (elite controllers, PLWHEC) or drug-induced (PLWHART) control. This GSMM was compared with HIV-negative controls (HC) to provide a comprehensive systems-level metabo-transcriptomic characterization. Transcriptomic analysis identified up-regulation of oxidative phosphorylation as a characteristic of PLWHART, differentiating them from PLWHEC with dysregulated complexes I, III, and IV. The flux balance analysis identified altered flux in several intermediates of glycolysis including pyruvate, α-ketoglutarate, and glutamate, among others, in PLWHART. The in vitro pharmacological inhibition of OXPHOS complexes in a latent lymphocytic cell model (J-Lat 10.6) suggested a role for complex IV in latency reversal and immunosenescence. Furthermore, inhibition of complexes I/III/IV induced apoptosis, collectively indicating their contribution to reservoir dynamics.
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Affiliation(s)
- Anoop T Ambikan
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Sara Svensson-Akusjärvi
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Shuba Krishnan
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Maike Sperk
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Piotr Nowak
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden.,Department of Medicine, Huddinge (MedH), Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Jan Vesterbacka
- Department of Medicine, Huddinge (MedH), Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Anders Sönnerborg
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden.,Department of Medicine, Huddinge (MedH), Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Rui Benfeitas
- National Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Ujjwal Neogi
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden .,Manipal Institute of Virology (MIV), Manipal Academy of Higher Education, Manipal, Karnataka, India
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