Evidence mapPaperPMID 42328010Full record

ArticleInfectious diseases & immunity2025

Metabolomic and transcriptomic features of the cardiometabolic disease spectrum in people living with HIV.

Liqin Sun, Chenyan Shi, Xiaorui Li, Yuxin Jiang, Yiyao Hu, Fan Bu, Yinsong Luo, Yun He, Qiaoli Peng, Fang Zhao and 2 more

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Article in Infectious diseases & immunity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Liqin SunDepartment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen 518010, China.
Chenyan ShiSchool of Public Health, Shenzhen University Medical School, Shenzhen 518060, China.
Xiaorui LiSchool of Public Health, Shenzhen University Medical School, Shenzhen 518060, China.
Yuxin JiangSchool of Public Health, Shenzhen University Medical School, Shenzhen 518060, China.
Yiyao HuSchool of Public Health, Shenzhen University Medical School, Shenzhen 518060, China.
Fan BuDepartment of Neurology & Psychology, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China.
Yinsong LuoSchool of Public Health, Shenzhen University Medical School, Shenzhen 518060, China.
Yun HeDepartment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen 518010, China.
Qiaoli PengDepartment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen 518010, China.
Fang ZhaoDepartment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen 518010, China.
Hongzhou LuDepartment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen 518010, China.
Jiaye LiuSchool of Public Health, Shenzhen University Medical School, Shenzhen 518060, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Human immunodeficiency virus (HIV) infection is associated with significant metabolic disruptions, and understanding how these disruptions contribute to cardiovascular disease (CVD) is essential for improving patient management and therapeutic strategies. By integrating metabolomics and transcriptomics, we aimed to elucidate the cardiometabolic disease spectrum of people living with HIV (PLWH) and to identify biomarkers and pathways associated with disease progression in this population. Methods: We conducted a cross-sectional observational study between October 2022 and June 2023 at the Third People's Hospital of Shenzhen, China. Participants were categorized into one of four groups: HIV+ without metabolic abnormalities (healthy control [HC]), HIV + with untreated metabolic (UM) abnormalities (HIV + UM), HIV + with treated metabolic (TM) abnormalities (HIV + TM), and HIV + with CVD (HIV + CVD). Key metabolic and transcriptomic features were identified through a comparative analysis using untargeted metabolomics and RNA sequencing, followed by statistical and pathway enrichment analyses. Results: This study included 114 PLWH: HC group ( Conclusions: This study identified key metabolic and transcriptomic alterations associated with CVD among PLWH. These alterations, primarily driven by immune activation, inflammation, and metabolic dysregulation, reflect unique molecular characteristics of CVD in PLWH. Our findings underscore the importance of early detection and tailored interventions to manage CVD risk in this population, providing insights into potential biomarkers for disease progression.

Indexed as

Cardiometabolic disease spectrumCardiovascular diseasesDrug deconfoundingHIVMetabolomicsTranscriptomics

Identifiers

PMID42328010
PMCPMC13277614

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.