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Metabolic dysfunction-associated steatotic liver disease (MASLD), commonly known as fatty liver disease, is increasingly prevalent worldwide. People living with HIV (PWH) face a higher risk of developing MASLD due to chronic immune activation and long-term antiretroviral therapy, yet whether the underlying biological changes differ from those in HIV-negative individuals with MASLD remains unknown.
This prospective observational study will enroll three groups: PWH with MASLD, HIV-negative individuals with MASLD, and healthy controls without liver disease. A single fasting blood sample will be collected from each participant. Using targeted lipidomics, proteomics, and transcriptomics platforms, researchers will compare plasma molecular profiles across the three groups to identify MASLD-specific lipid signatures, characterize metabolic pathway dysregulation, and discover potential blood-based biomarkers for non-invasive diagnosis of MASLD.
Findings from this study may help explain how HIV infection alters lipid metabolism in the context of MASLD and support the development of HIV-specific diagnostic tools for fatty liver disease.
MASLD is characterized by hepatic lipid accumulation driven by metabolic dysfunction, and its pathophysiology involves extensive lipid metabolic reprogramming - including dysregulation of triglycerides, diacylglycerols, ceramides, and phosphatidylcholines. In people living with HIV (PWH), the metabolic burden imposed by chronic immune activation and long-term antiretroviral therapy (ART) further disrupts circulating lipid homeostasis, potentially creating a distinct pathophysiological profile compared to HIV-negative individuals with MASLD. However, the molecular differences between HIV-associated and HIV-negative MASLD have not been systematically characterized.
This prospective, observational, cross-sectional study enrolls three groups: (1) PWH with MASLD, (2) HIV-negative individuals with MASLD, and (3) healthy controls matched for age, sex, and BMI. All participants are recruited from Shanghai Public Health Clinical Center and affiliated health examination centers. A single fasting peripheral blood sample (10 mL) is collected from each participant, from which plasma is isolated and stored at -80°C until analysis.
Plasma samples will undergo multi-omics profiling including:
Targeted lipidomics: quantitative analysis of core lipid classes (free fatty acids, ceramides, sphingomyelins, triglycerides, diacylglycerols, phosphatidylcholines) using UPLC-MS/MS in multiple reaction monitoring (MRM) mode Proteomics: plasma protein profiling to identify disease-associated protein expression changes Transcriptomics: gene expression analysis to characterize transcriptional alterations associated with MASLD in the context of HIV infection Differential lipid features will be identified using multivariate analysis (PCA, OPLS-DA) and univariate filtering (VIP > 1, |FC| > 1.5, FDR < 0.05). KEGG and LipidMaps pathway enrichment analyses will reveal key metabolic pathways involved in lipid reprogramming. Correlations between lipid signatures and clinical parameters will be examined using Spearman correlation analysis. ROC curve analysis and logistic regression will be used to evaluate the diagnostic performance of candidate biomarkers.
This study aims to: (1) establish a comprehensive plasma lipidomic and multi-omics atlas of MASLD in PWH versus HIV-negative individuals; (2) identify HIV-specific lipid dysregulation patterns; and (3) discover novel, non-invasive biomarkers for MASLD diagnosis applicable to the HIV-infected population.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| PWH with MASLD | People with HIV diagnosed with metabolic dysfunction-associated steatotic liver disease (MASLD), enrolled from the outpatient clinic of Shanghai Public Health Clinical Center. | ||
| HIV negative with MASLD | HIV-negative individuals diagnosed with MASLD, enrolled from Shanghai Public Health Clinical Center and affiliated health examination centers. | ||
| healthy controls | HIV-negative individuals without liver disease, matched to MASLD groups by age, sex, and BMI, enrolled from affiliated health examination centers. |
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| Measure | Description | Time Frame |
|---|---|---|
| Number of differentially abundant plasma lipid species identified by targeted lipidomics (UPLC-MS/MS) | Number of plasma lipid species showing statistically significant differential abundance among the three groups (treatment-naïve people with HIV and MASLD, HIV-negative people with MASLD, and healthy controls). Lipid species across core lipid classes (free fatty acids, ceramides, sphingomyelins, triglycerides, diacylglycerols, and phosphatidylcholines) are quantified by targeted lipidomics using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) in multiple reaction monitoring (MRM) mode, with quality-control samples and internal standards (e.g., TAG 17:0, Cer d18:1/17:0; RSD <15%). A lipid species is counted as differentially abundant if it meets fold change ≥1.5 or ≤0.67, and FDR <0.05. | At enrollment (single time point, cross-sectional) |
| Measure | Description | Time Frame |
|---|---|---|
| Number of differentially abundant plasma proteins identified by quantitative proteomics | Number of plasma proteins showing statistically significant differential abundance among the three groups (treatment-naïve people with HIV and MASLD, HIV-negative people with MASLD, and healthy controls), quantified by mass spectrometry-based (DIA) proteomics. A protein is counted as differentially abundant if it meets |log2 fold change| >1 and adjusted p <0.05. |
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Inclusion Criteria:
For Group 1 (Treatment-naive people with HIV and MASLD):
For Group 2 (HIV-negative individuals with MASLD):
For Group 3 (Healthy Controls):
Exclusion Criteria:
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Participants are recruited from a single tertiary hospital (Shanghai Public Health Clinical Center): (1) treatment-naive people with HIV and MASLD from the outpatient Department of Infection and Immunity; (2) HIV-negative individuals with MASLD identified through the hospital's Health Management Center; and (3) healthy controls without liver disease from the same Health Management Center, matched to MASLD groups by age, sex, and BMI.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yinzhong Shen, PhD | Contact | +8618916113951 | shenyinzhong@shphc.org.cn | |
| Wei Xu, PhD | Contact | +8613660308971 | 24111300008@m.fudan.edu.cn |
| Name | Affiliation | Role |
|---|---|---|
| Yinzhong Shen | Shanghai Public Health Clinical Center, Shanghai, Shanghai 201508 | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Shanghai Public Health Clinical Center | Shanghai | Shanghai Municipality | 201508 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38718757 | Result | Bo T, Gao L, Yao Z, Shao S, Wang X, Proud CG, Zhao J. Hepatic selective insulin resistance at the intersection of insulin signaling and metabolic dysfunction-associated steatotic liver disease. Cell Metab. 2024 May 7;36(5):947-968. doi: 10.1016/j.cmet.2024.04.006. | |
| 35584814 | Result | Rui L, Lin JD. Reprogramming of Hepatic Metabolism and Microenvironment in Nonalcoholic Steatohepatitis. Annu Rev Nutr. 2022 Aug 22;42:91-113. doi: 10.1146/annurev-nutr-062220-105200. Epub 2022 May 18. |
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Individual participant data will not be shared publicly to protect the privacy and confidentiality of people living with HIV, given the sensitive nature of HIV status and the potential risk of participant re-identification in this population. De-identified data may be made available from the corresponding author upon reasonable request and with appropriate ethical approval.
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| ID | Term |
|---|---|
| D000163 | Acquired Immunodeficiency Syndrome |
| ID | Term |
|---|---|
| D015658 | HIV Infections |
| D000086982 | Blood-Borne Infections |
| D003141 | Communicable Diseases |
| D007239 | Infections |
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Fasting peripheral blood (10 mL) is collected from each participant via venipuncture. Blood samples are centrifuged within 30 minutes of collection at 2,000 × g for 10 minutes at 4°C to isolate plasma. Plasma aliquots are stored at -80°C until analysis for targeted lipidomics and proteomics. Peripheral blood mononuclear cells (PBMCs) are simultaneously isolated using density gradient centrifugation, and cell pellets are stored at -80°C for subsequent transcriptomic profiling. All biospecimens are retained for the duration of the study and may be used for additional omics analyses related to the study objectives.
| At enrollment |
| Number of differentially expressed genes in PBMCs identified by RNA sequencing | Number of genes showing statistically significant differential expression in peripheral blood mononuclear cells (PBMCs) among the three groups (treatment-naïve people with HIV and MASLD, HIV-negative people with MASLD, and healthy controls), quantified by RNA sequencing. A gene is counted as differentially expressed if it meets |log2 fold change| >1 and FDR <0.05. | At enrollment |
| 30704819 | Result | Waters DD, Hsue PY. Lipid Abnormalities in Persons Living With HIV Infection. Can J Cardiol. 2019 Mar;35(3):249-259. doi: 10.1016/j.cjca.2018.11.005. Epub 2018 Nov 15. |
| 38823393 | Result | Horn P, Tacke F. Metabolic reprogramming in liver fibrosis. Cell Metab. 2024 Jul 2;36(7):1439-1455. doi: 10.1016/j.cmet.2024.05.003. Epub 2024 May 31. |
| D015229 |
| Sexually Transmitted Diseases, Viral |
| D012749 | Sexually Transmitted Diseases |
| D016180 | Lentivirus Infections |
| D012192 | Retroviridae Infections |
| D012327 | RNA Virus Infections |
| D014777 | Virus Diseases |
| D012897 | Slow Virus Diseases |
| D000091662 | Genital Diseases |
| D000091642 | Urogenital Diseases |
| D007153 | Immunologic Deficiency Syndromes |
| D007154 | Immune System Diseases |