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Lipidomic and Multi-Omics Profiling of Fatty Liver Disease in People With and Without HIV (MASLD)

5 de junio de 2026 actualizado por: Yinzhong Shen

Multi-Omics Characterization of Lipid Metabolic Reprogramming in People With HIV Versus HIV-Negative Metabolic Dysfunction-Associated Steatotic Liver Disease

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.

Descripción general del estudio

Estado

Aún no reclutando

Condiciones

Descripción detallada

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.

Tipo de estudio

De observación

Inscripción (Estimado)

120

Contactos y Ubicaciones

Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.

Estudio Contacto

Copia de seguridad de contactos de estudio

Ubicaciones de estudio

  • Porcelana
    • Shanghai Municipality
      • Shanghai, Shanghai Municipality, Porcelana, 201508
        • Shanghai Public Health Clinical Center
        • Contacto:
        • Contacto:

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

  • Adulto
  • Adulto Mayor

Acepta Voluntarios Saludables

Sí

Método de muestreo

Muestra no probabilística

Población de estudio

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.

Descripción

Inclusion Criteria:

  • Age 18-80 years
  • Able to provide written informed consent and cooperate with blood sample collection and clinical data recording

For Group 1 (Treatment-naive people with HIV and MASLD):

  • Confirmed HIV infection with no prior antiretroviral therapy (treatment-naive)
  • Diagnosis of MASLD per the 2024 Chinese Guidelines: hepatic steatosis confirmed by imaging or histology (≥5% macrovesicular steatosis), exclusion of excessive alcohol consumption (>210 g/week for men, >140 g/week for women), and at least one metabolic cardiovascular risk factor

For Group 2 (HIV-negative individuals with MASLD):

  • HIV-negative
  • Diagnosis of MASLD as defined above

For Group 3 (Healthy Controls):

  • HIV-negative
  • Normal liver morphology on abdominal ultrasonography within the past year, with no evidence of hepatic steatosis
  • Matched to MASLD groups by age (within 5 years), sex, and BMI (within 3 kg/m²)

Exclusion Criteria:

  • Chronic liver disease with decompensated cirrhosis, hepatic malignancy, or history of liver transplantation
  • Pregnancy or lactation
  • Active severe infectious disease (other than HIV for Group 1)
  • Severe critical illness or major organ failure

Plan de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

Cohortes e Intervenciones

Grupo / Cohorte
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.

¿Qué mide el estudio?

Medidas de resultado primarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Number of differentially abundant plasma lipid species identified by targeted lipidomics (UPLC-MS/MS)
Periodo de tiempo: At enrollment (single time point, cross-sectional)
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)

Medidas de resultado secundarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Number of differentially abundant plasma proteins identified by quantitative proteomics
Periodo de tiempo: At enrollment
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.
At enrollment
Number of differentially expressed genes in PBMCs identified by RNA sequencing
Periodo de tiempo: At enrollment
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

Colaboradores e Investigadores

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Patrocinador

Yinzhong Shen

Investigadores

  • Investigador principal: Yinzhong Shen, Shanghai Public Health Clinical Center, Shanghai, Shanghai 201508

Publicaciones y enlaces útiles

La persona responsable de ingresar información sobre el estudio proporciona voluntariamente estas publicaciones. Estos pueden ser sobre cualquier cosa relacionada con el estudio.

Publicaciones Generales

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio (Estimado)

1 de junio de 2026

Finalización primaria (Estimado)

1 de septiembre de 2026

Finalización del estudio (Estimado)

1 de septiembre de 2026

Fechas de registro del estudio

Enviado por primera vez

31 de mayo de 2026

Primero enviado que cumplió con los criterios de control de calidad

5 de junio de 2026

Publicado por primera vez (Actual)

11 de junio de 2026

Actualizaciones de registros de estudio

Última actualización publicada (Actual)

11 de junio de 2026

Última actualización enviada que cumplió con los criterios de control de calidad

5 de junio de 2026

Última verificación

1 de junio de 2026

Más información

Términos relacionados con este estudio

Palabras clave

Términos MeSH relevantes adicionales

Otros números de identificación del estudio

  • GKT1341

Plan de datos de participantes individuales (IPD)

¿Planea compartir datos de participantes individuales (IPD)?

NO

Descripción del plan IPD

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.

Información sobre medicamentos y dispositivos, documentos del estudio

Estudia un producto farmacéutico regulado por la FDA de EE. UU.

No

Estudia un producto de dispositivo regulado por la FDA de EE. UU.

No

Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .

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