Evidence map›Paper›PMID 39228698›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Endogenous adenine is a potential driver of the cardiovascular-kidney-metabolic syndrome.

Ian Tamayo, Hak Joo Lee, M Imran Aslam, Jian-Jun Liu, Nagarjunachary Ragi, Varsha Karanam, Soumya Maity, Afaf Saliba, Esmeralda Treviño, Huili Zheng and 12 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Ian TamayoCenter for Precision Medicine, University of Texas Health San Antonio.
Hak Joo LeeCenter for Precision Medicine, University of Texas Health San Antonio.
M Imran AslamDivision of Cardiology, University of Texas Health San Antonio.ORCID 0000-0003-4560-8661
Jian-Jun LiuClinical Research Unit, Khoo Teck Puat Hospital, Singapore.
Nagarjunachary RagiCenter for Precision Medicine, University of Texas Health San Antonio.
Varsha KaranamDivision of Cardiology, University of Texas Health San Antonio.
Soumya MaityCenter for Precision Medicine, University of Texas Health San Antonio.
Afaf SalibaCenter for Precision Medicine, University of Texas Health San Antonio.
Esmeralda TreviñoCenter for Precision Medicine, University of Texas Health San Antonio.
Huili ZhengClinical Research Unit, Khoo Teck Puat Hospital, Singapore.ORCID 0000-0002-3976-0088
Su Chi LimClinical Research Unit, Khoo Teck Puat Hospital, Singapore.
Jan D LanzerHeidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany.
Petter BjornstadUW Medicine Diabetes Institute, University of Washington.
Katherine TuttleDepartment of Medicine, University of Washington, Seattle, WA, USA, Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington.ORCID 0000-0002-2235-0103
Kenneth C BediCardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Kenneth B MarguliesCardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Vasan RamachandranDivision of Cardiology, University of Texas Health San Antonio.
Ahmed Abdel-LatifDepartment of Medicine, University of Michigan, Ann Arbor, MI.ORCID 0000-0002-8178-7102
Julio Saez-RodriguezHeidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany.
Ravi IyengarDepartment of Pharmacological Sciences and Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY.ORCID 0000-0002-7814-0180
Jean C BopassaDepartment of Cellular and Integrative Physiology, University of Texas Health San Antonio, San Antonio, Texas.
Kumar SharmaCenter for Precision Medicine, University of Texas Health San Antonio.ORCID 0000-0002-7550-8525

Funding

OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository CoreOT2HL161847 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GROSS, RACHEL SHARON, HORWITZ, LEORA · 2021 to 2025
$651.0M
Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
ConProject-002U2CDK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI KRETZLER, MATTHIAS · 2017 to 2021
$21.0M
Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GIPSON, DEBBIE S · 2009 to 2023
$20.3M
Integrative genomics of human heart failureR01HL105993 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI ASHLEY, EUAN A, CAPPOLA, THOMAS P. · 2011 to 2014
$8.9M
CureGN-Penn PCCU01DK100846 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LAWRENCE B. HOLZMAN · 2019 to 2026
$8.3M
Mechanical Stress-Dependent Remodeling of the Cardiac Microtubule NetworkR01HL149891 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Kenneth Ber Margulies, Benjamin Lears Prosser · 2020 to 2026
$4.2M
Spatial Multi-Omics to Profile Metabolic Pathways for Kidney DiseaseU01DK114920 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Christopher R Anderton, Kumar Sharma · 2022 to 2026
$3.9M
Systems Pharmacology for overcoming cell variabilityR01GM137056 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI IYENGAR, SRINIVAS RAVI V · 2020 to 2023
$1.9M
Prediction of Chronic Kidney Disease by Simulation Modeling to Improve the Health of Minority PopulationsR01MD014712 · NIMHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUI, ALEX, NICHOLAS, SUSANNE B · 2020 to 2023
$1.5M
New Insights in Mechanisms of Renal InjuryI01BX001340 · VA · SOUTH TEXAS VETERANS HEALTH CARE SYSTEM · PI Kumar Sharma · 2012 to 2026
–
BLRD VA I01 BX001340NCATS NIH HHS UL1 TR002319NHLBI NIH HHS OT2 HL161847NHLBI NIH HHS R01 HL105993NHLBI NIH HHS R01 HL149891NIDDK NIH HHS U01 DK100846NIDDK NIH HHS U01 DK114920NIDDK NIH HHS U2C DK114886NIDDK NIH HHS U54 DK083912NIGMS NIH HHS R01 GM137056NIMHD NIH HHS R01 MD014712
6 · The paper itself

Abstract

Mechanisms underlying the cardiovascular-kidney-metabolic (CKM) syndrome are unknown, although key small molecule metabolites may be involved. Bulk and spatial metabolomics identified adenine to be upregulated and specifically enriched in coronary blood vessels in hearts from patients with diabetes and left ventricular hypertrophy. Single nucleus gene expression studies revealed that endothelial methylthioadenosine phosphorylase (MTAP) was increased in human hearts with hypertrophic cardiomyopathy. The urine adenine/creatinine ratio in patients was predictive of incident heart failure with preserved ejection fraction. Heart adenine and MTAP gene expression was increased in a 2-hit mouse model of hypertrophic heart disease and in a model of diastolic dysfunction with diabetes. Inhibition of MTAP blocked adenine accumulation in the heart, restored heart dysfunction in mice with type 2 diabetes and prevented ischemic heart damage in a rat model of myocardial infarction. Mechanistically, adenine-induced impaired mitophagy was reversed by reduction of mTOR. These studies indicate that endogenous adenine is in a causal pathway for heart failure and ischemic heart disease in the context of CKM syndrome.

Identifiers

PMID39228698
PMCPMC11370547

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.