Evidence map›Paper›PMID 38725043›Full record

ArticleMicrobiome2024

Gut microbiota, blood metabolites, and left ventricular diastolic dysfunction in US Hispanics/Latinos.

Kai Luo, Alkis Taryn, Eun-Hye Moon, Brandilyn A Peters, Scott D Solomon, Martha L Daviglus, Mayank M Kansal, Bharat Thyagarajan, Marc D Gellman, Jianwen Cai and 7 more

Abstract read
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. N-Lactoyl Amino Acids: Emerging Biomarkers in Metabolism and Disease.Diabetes/metabolism research and reviews · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Kai LuoDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Alkis TarynDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Eun-Hye MoonDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Brandilyn A PetersDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Scott D SolomonCardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.
Martha L DaviglusInstitute for Minority Health Research, University of Illinois Chicago College of Medicine, Chicago, IL, 60612, USA.
Mayank M KansalClinical Medicine, University of Illinois College of Medicine, Chicago, IL, 60612, USA.
Bharat ThyagarajanDepartment of Laboratory Medicine & Pathology, University of Minnesota Medical School, Minneapolis, MN, 55455, USA.
Marc D GellmanDepartment of Psychology, Clinical Research Building, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA.
Jianwen CaiDepartment of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Robert D BurkDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Rob KnightCenter for Microbiome Innovation, University of California, La Jolla, San Diego, CA, 92093, USA.
Robert C KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Susan ChengSmidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
Carlos J RodriguezDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Qibin QiDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA. qibin.qi@einsteinmed.edu.
Bing YuDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA. bing.yu@uth.tmc.edu.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Metabolic Signatures Underlying Cardiac Function for Heart Failure in Multi-Ethnic PopulationsR01HL141824 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI YU, BING · 2018 to 2021
$3.1M
NHLBI NIH HHS R01 HL141824NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

backgroundLeft ventricular diastolic dysfunction (LVDD) is an important precursor of heart failure (HF), but little is known about its relationship with gut dysbiosis and microbial-related metabolites. By leveraging the multi-omics data from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), a study with population at high burden of LVDD, we aimed to characterize gut microbiota associated with LVDD and identify metabolite signatures of gut dysbiosis and incident LVDD.

resultsWe included up to 1996 Hispanic/Latino adults (mean age: 59.4 years; 67.1% female) with comprehensive echocardiography assessments, gut microbiome, and blood metabolome data. LVDD was defined through a composite criterion involving tissue Doppler assessment and left atrial volume index measurements. Among 1996 participants, 916 (45.9%) had prevalent LVDD, and 212 out of 594 participants without LVDD at baseline developed incident LVDD over a median 4.3 years of follow-up. Using multivariable-adjusted analysis of compositions of microbiomes (ANCOM-II) method, we identified 7 out of 512 dominant gut bacterial species (prevalence > 20%) associated with prevalent LVDD (FDR-q < 0.1), with inverse associations being found for Intestinimonas_massiliensis, Clostridium_phoceensis, and Bacteroide_coprocola and positive associations for Gardnerella_vaginali, Acidaminococcus_fermentans, Pseudomonas_aeruginosa, and Necropsobacter_massiliensis. Using multivariable adjusted linear regression, 220 out of 669 circulating metabolites with detection rate > 75% were associated with the identified LVDD-related bacterial species (FDR-q < 0.1), with the majority being linked to Intestinimonas_massiliensis, Clostridium_phoceensis, and Acidaminococcus_fermentans. Furthermore, 46 of these bacteria-associated metabolites, mostly glycerophospholipids, secondary bile acids, and amino acids, were associated with prevalent LVDD (FDR-q < 0.1), 21 of which were associated with incident LVDD (relative risk ranging from 0.81 [p = 0.001, for guanidinoacetate] to 1.25 [p = 9 × 10

conclusionIn this study of US Hispanics/Latinos, we identified multiple gut bacteria and related metabolites linked to LVDD, suggesting their potential roles in this preclinical HF entity. Video Abstract.

Indexed as

Gastrointestinal MicrobiomeHispanic or LatinoVentricular Dysfunction, LeftAgedBacteriaDysbiosisEchocardiographyFemaleHumansMaleMetabolomeMiddle AgedUnited StatesBlood metabolomeGut dysbiosisHispanic/Latino individualsLeft ventricular diastolic dysfunction

Identifiers

PMID38725043
PMCPMC11084054

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.