Precision Subtyping and Prognostic Study of Heart Failure Based on Multi-Omics Integration and Clinical Indicators: A Prospective Single-Center Cohort Study
HF-MultiOmics
1 other identifier
observational
600
1 country
1
Brief Summary
This is a prospective single-center cohort study conducted at The First Affiliated Hospital of Xinjiang Medical University, aiming to enroll 400 patients with chronic heart failure (including HFrEF, HFmrEF, HFpEF) and 200 healthy controls.We will collect clinical data (e.g., NYHA class, NT-proBNP), multi-omics samples (genome, proteome, metabolome, gut microbiome), and imaging indicators (e.g., EAT density, myocardial strain) from participants at baseline. For patients treated with SGLT2 inhibitors, we will also track dynamic changes in multi-omics during follow-up.The main purpose is to build a composite risk prediction model (integrating multi-omics and clinical indicators) to predict the 1-year composite endpoint (heart failure rehospitalization or all-cause death). Secondary goals include identifying specific molecular profiles related to heart failure phenotypes, exploring the "gut-heart axis" mechanism, and finding early biomarkers for SGLT2 inhibitor response.All participants will be followed up for at least 12 months, and the study will strictly comply with ethical norms and protect the privacy of participants.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2026
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 29, 2025
CompletedStudy Start
First participant enrolled
January 1, 2026
CompletedFirst Posted
Study publicly available on registry
January 21, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
March 1, 2028
January 21, 2026
December 1, 2025
1 year
December 29, 2025
January 12, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
1-Year Composite Endpoint by HF Subtype (Heart Failure Rehospitalization or All-Cause Death)
Occurrence of heart failure-related rehospitalization or all-cause death within 12 months after enrollment, stratified by heart failure subtypes (HFrEF, HFmrEF, HFpEF).Subtype stratification is based on the 2022 ESC HF classification criteria; endpoints are confirmed by the study's clinical endpoint adjudication committee.
12 months
Secondary Outcomes (1)
1-Year Heart Failure-Related Rehospitalization (Independent Endpoint)
12 months
Other Outcomes (3)
Identification of Heart Failure Phenotype-Specific Molecular Signatures (Multi-Omics Biomarker Panel)
Baseline
Correlation Between Multi-Omics Profiles and Clinical Phenotypes of Heart Failure
Baseline
Gut-Heart Axis Mechanistic Correlation: Gut Microbiome Composition vs. Circulating Metabolites/Inflammatory Proteins
Baseline
Study Arms (2)
Chronic Heart Failure Patients
Enroll 400 participants meeting 2022 ESC guidelines for chronic heart failure (including HFrEF, HFmrEF, HFpEF). Collect clinical data, multi-omics samples, and imaging indicators at baseline; follow up for 12 months to track outcomes and dynamic changes.
Healthy Controls
Enroll 200 age/gender-matched participants with no history of cardiovascular disease. Collect baseline clinical data and multi-omics samples for comparative analysis; follow up for 12 months.
Eligibility Criteria
This study enrolls 2 groups of participants at The First Affiliated Hospital of Xinjiang Medical University:(1)400 patients with chronic heart failure (stratified into HFrEF, HFmrEF, and HFpEF per 2022 ESC criteria), aged 18 to 80 years;(2)200 age- and gender-matched healthy controls (1:2 matching ratio with CHF patients) without a history of cardiovascular disease, aged 18 to 80 years.
You may qualify if:
- (2)For healthy controls:1.No history of cardiovascular disease, confirmed by medical history review and baseline echocardiography;2.Aged 18 to 80 years (inclusive), matched 1:2 with CHF patients by age and gender;3.Able to provide written informed consent.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
The First Affiliated Hospital of Xinjiang Medical University
Xinjiang, Urumqi, 831100, China
Related Publications (9)
Obermeyer Z, Emanuel EJ. Predicting the Future - Big Data, Machine Learning, and Clinical Medicine. N Engl J Med. 2016 Sep 29;375(13):1216-9. doi: 10.1056/NEJMp1606181. No abstract available.
PMID: 27682033BACKGROUNDAntonopoulos AS, Antoniades C. The role of epicardial adipose tissue in cardiac biology: classic concepts and emerging roles. J Physiol. 2017 Jun 15;595(12):3907-3917. doi: 10.1113/JP273049. Epub 2017 Mar 13.
PMID: 28191635BACKGROUNDMedvedofsky D, Kebed K, Laffin L, Stone J, Addetia K, Lang RM, Mor-Avi V. Reproducibility and experience dependence of echocardiographic indices of left ventricular function: Side-by-side comparison of global longitudinal strain and ejection fraction. Echocardiography. 2017 Mar;34(3):365-370. doi: 10.1111/echo.13446. Epub 2017 Feb 9.
PMID: 28185312BACKGROUNDTang WH, Wang Z, Levison BS, Koeth RA, Britt EB, Fu X, Wu Y, Hazen SL. Intestinal microbial metabolism of phosphatidylcholine and cardiovascular risk. N Engl J Med. 2013 Apr 25;368(17):1575-84. doi: 10.1056/NEJMoa1109400.
PMID: 23614584BACKGROUNDCheng ML, Wang CH, Shiao MS, Liu MH, Huang YY, Huang CY, Mao CT, Lin JF, Ho HY, Yang NI. Metabolic disturbances identified in plasma are associated with outcomes in patients with heart failure: diagnostic and prognostic value of metabolomics. J Am Coll Cardiol. 2015 Apr 21;65(15):1509-20. doi: 10.1016/j.jacc.2015.02.018.
PMID: 25881932BACKGROUNDZhang X, Schulz BL, Punyadeera C. The current status of heart failure diagnostic biomarkers. Expert Rev Mol Diagn. 2016;16(4):487-500. doi: 10.1586/14737159.2016.1144474. Epub 2016 Feb 17.
PMID: 26788983BACKGROUNDShah S, Henry A, Roselli C, Lin H, Sveinbjornsson G, Fatemifar G, Hedman AK, Wilk JB, Morley MP, Chaffin MD, Helgadottir A, Verweij N, Dehghan A, Almgren P, Andersson C, Aragam KG, Arnlov J, Backman JD, Biggs ML, Bloom HL, Brandimarto J, Brown MR, Buckbinder L, Carey DJ, Chasman DI, Chen X, Chen X, Chung J, Chutkow W, Cook JP, Delgado GE, Denaxas S, Doney AS, Dorr M, Dudley SC, Dunn ME, Engstrom G, Esko T, Felix SB, Finan C, Ford I, Ghanbari M, Ghasemi S, Giedraitis V, Giulianini F, Gottdiener JS, Gross S, Guethbjartsson DF, Gutmann R, Haggerty CM, van der Harst P, Hyde CL, Ingelsson E, Jukema JW, Kavousi M, Khaw KT, Kleber ME, Kober L, Koekemoer A, Langenberg C, Lind L, Lindgren CM, London B, Lotta LA, Lovering RC, Luan J, Magnusson P, Mahajan A, Margulies KB, Marz W, Melander O, Mordi IR, Morgan T, Morris AD, Morris AP, Morrison AC, Nagle MW, Nelson CP, Niessner A, Niiranen T, O'Donoghue ML, Owens AT, Palmer CNA, Parry HM, Perola M, Portilla-Fernandez E, Psaty BM; Regeneron Genetics Center; Rice KM, Ridker PM, Romaine SPR, Rotter JI, Salo P, Salomaa V, van Setten J, Shalaby AA, Smelser DT, Smith NL, Stender S, Stott DJ, Svensson P, Tammesoo ML, Taylor KD, Teder-Laving M, Teumer A, Thorgeirsson G, Thorsteinsdottir U, Torp-Pedersen C, Trompet S, Tyl B, Uitterlinden AG, Veluchamy A, Volker U, Voors AA, Wang X, Wareham NJ, Waterworth D, Weeke PE, Weiss R, Wiggins KL, Xing H, Yerges-Armstrong LM, Yu B, Zannad F, Zhao JH, Hemingway H, Samani NJ, McMurray JJV, Yang J, Visscher PM, Newton-Cheh C, Malarstig A, Holm H, Lubitz SA, Sattar N, Holmes MV, Cappola TP, Asselbergs FW, Hingorani AD, Kuchenbaecker K, Ellinor PT, Lang CC, Stefansson K, Smith JG, Vasan RS, Swerdlow DI, Lumbers RT. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure. Nat Commun. 2020 Jan 9;11(1):163. doi: 10.1038/s41467-019-13690-5.
PMID: 31919418BACKGROUNDIbrahim NE, Januzzi JL Jr. Beyond Natriuretic Peptides for Diagnosis and Management of Heart Failure. Clin Chem. 2017 Jan;63(1):211-222. doi: 10.1373/clinchem.2016.259564. Epub 2016 Oct 10.
PMID: 28062619BACKGROUNDShah SJ, Katz DH, Selvaraj S, Burke MA, Yancy CW, Gheorghiade M, Bonow RO, Huang CC, Deo RC. Phenomapping for novel classification of heart failure with preserved ejection fraction. Circulation. 2015 Jan 20;131(3):269-79. doi: 10.1161/CIRCULATIONAHA.114.010637. Epub 2014 Nov 14.
PMID: 25398313BACKGROUND
Biospecimen
The retained biospecimens include:Venous blood samples (for genome, proteome, and metabolome analysis)、Fecal samples (for gut microbiome analysis).All samples will be stored at -80°C after collection and processing.
Study Officials
- STUDY DIRECTOR
ailiman mahemut, MD
First Affiliated Hospital of Xinjiang Medical University
- STUDY DIRECTOR
xiang xie, MD
First Affiliated Hospital of Xinjiang Medical University
- STUDY CHAIR
refukait abuduhalike, MD
First Affiliated Hospital of Xinjiang Medical University
- STUDY CHAIR
aihaidan abuduwayiti, MD
First Affiliated Hospital of Xinjiang Medical University
- STUDY CHAIR
li zhao, MD
First Affiliated Hospital of Xinjiang Medical University
- STUDY CHAIR
yujun guo, MM
First Affiliated Hospital of Xinjiang Medical University
- STUDY CHAIR
zhiying wen, MM
First Affiliated Hospital of Xinjiang Medical University
- STUDY CHAIR
yanxiao li, MM
Xinjiang Medical University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 12 Months
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Attending Physician
Study Record Dates
First Submitted
December 29, 2025
First Posted
January 21, 2026
Study Start
January 1, 2026
Primary Completion (Estimated)
January 1, 2027
Study Completion (Estimated)
March 1, 2028
Last Updated
January 21, 2026
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will not share
This study involves human genetic resources and sensitive clinical data (including multi-omics profiles and patient follow-up information) of participants. According to the regulations on the management of human genetic resources in China and the informed consent agreement signed with participants (which does not include authorization for IPD sharing with external researchers), the individual participant data (IPD) will not be shared with other researchers to protect the privacy and rights of participants, and to comply with relevant national regulations.