Evidence map›Paper›PMID 38806679›Full record

ArticleNature medicine2024

Noninvasive assessment of organ-specific and shared pathways in multi-organ fibrosis using T1 mapping.

Victor Nauffal, Marcus D R Klarqvist, Matthew C Hill, Danielle F Pace, Paolo Di Achille, Seung Hoan Choi, Joel T Rämö, James P Pirruccello, Pulkit Singh, Shinwan Kany and 6 more

Abstract read
In one paragraph

Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Quantitative Multi-Parameter MRI Evaluation of Hashimoto's Thyroiditis Changes After Dietary Interventions.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

16 authors.

Victor Nauffal *Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0001-7199-299X
Marcus D R Klarqvist *Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Matthew C HillCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Danielle F PaceCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-5428-9538
Paolo Di AchilleData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Seung Hoan ChoiCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Joel T RämöCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-6429-5149
James P PirruccelloCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Pulkit SinghData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Shinwan KanyCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Cody HouCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Kenney NgCenter for Computational Health, IBM Research, Cambridge, MA, USA.ORCID 0000-0003-0792-070X
Anthony A PhilippakisCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-6953-3794
Puneet BatraData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-6822-0593
Steven A LubitzDemoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-9599-4866
Patrick T EllinorCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA. ellinor@mgh.harvard.edu.ORCID 0000-0002-2067-0533

Funding

IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
TRAINING PROGRAM IN CARDIOVASCULAR RESEARCHT32HL007604 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MARK W FEINBERG · 1985 to 2026
$19.0M
MULTIDISCIPLINARY RESEARCH TRAINING IN CARDIOLOGYT32HL007208 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Patrick Thomas Ellinor, David E Sosnovik · 1985 to 2026
$16.1M
Genomics of Cardiac ArrhythmiasR01HL139731 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS · 2018 to 2022
$3.3M
Using Electrocardiogram Genetics to Inform Arrhythmia RiskR01HL157635 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS, MIRSHAHI, TOORAJ · 2022 to 2025
$2.9M
Deep learning to enable the genetic analysis of aortaK08HL159346 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PIRRUCCELLO, JAMES · 2021 to 2025
$827k
American Heart Association-American Stroke Association 18SFRN34250007Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) 1R01HL157635Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) 1RO1HL092577Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) 5R01HL139731Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) T32HL007604NHLBI NIH HHS K08 HL159346NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL139731NHLBI NIH HHS R01 HL157635NHLBI NIH HHS T32 HL007208NHLBI NIH HHS T32 HL007604
6 · The paper itself

Abstract

Fibrotic diseases affect multiple organs and are associated with morbidity and mortality. To examine organ-specific and shared biologic mechanisms that underlie fibrosis in different organs, we developed machine learning models to quantify T1 time, a marker of interstitial fibrosis, in the liver, pancreas, heart and kidney among 43,881 UK Biobank participants who underwent magnetic resonance imaging. In phenome-wide association analyses, we demonstrate the association of increased organ-specific T1 time, reflecting increased interstitial fibrosis, with prevalent diseases across multiple organ systems. In genome-wide association analyses, we identified 27, 18, 11 and 10 independent genetic loci associated with liver, pancreas, myocardial and renal cortex T1 time, respectively. There was a modest genetic correlation between the examined organs. Several loci overlapped across the examined organs implicating genes involved in a myriad of biologic pathways including metal ion transport (SLC39A8, HFE and TMPRSS6), glucose metabolism (PCK2), blood group antigens (ABO and FUT2), immune function (BANK1 and PPP3CA), inflammation (NFKB1) and mitosis (CENPE). Finally, we found that an increasing number of organs with T1 time falling in the top quintile was associated with increased mortality in the population. Individuals with a high burden of fibrosis in ≥3 organs had a 3-fold increase in mortality compared to those with a low burden of fibrosis across all examined organs in multivariable-adjusted analysis (hazard ratio = 3.31, 95% confidence interval 1.77-6.19; P = 1.78 × 10

Indexed as

Magnetic Resonance ImagingOrgan SpecificitySignal TransductionBiomarkersFemaleFibrosisGenome-Wide Association StudyHumansKaplan-Meier EstimateMachine LearningMaleMiddle AgedTime FactorsBiomarkers

Identifiers

PMID38806679
PMCPMC12574816

What Socratic holds

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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.