Evidence map›Paper›PMID 41648141›Full record

ArticlebioRxiv : the preprint server for biology2026

Molecular Imaging of Collagen Turnover in Myocardial Infarction.

Afarin Neishabouri, Mean Ghim, Onur Varli, Azmi A Ahmad, Gunjan Kukreja, Zhengxing Zhang, Jie Li, Jakub Toczek, Mani Salarian, Jiasheng Zhang and 5 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

5 · Who and what money

Authors and funding

15 authors.

Afarin NeishabouriYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Mean GhimYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Onur VarliYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Azmi A AhmadYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Gunjan KukrejaYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Zhengxing ZhangYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Jie LiYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Jakub ToczekYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Mani SalarianYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Jiasheng ZhangYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Daniel Ein AlshaebaYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Fadi G AkarYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Chi LiuDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
S Michael YuDepartment of Biomedical Engineering and Department of Molecular Pharmaceutics, University of Utah, Salt Lake City, Utah, USA.
Mehran M SadeghiYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-5074-3510

Funding

Training In Multi-modality Molecular & Translational Cardiovascular ImagingT32HL098069 · NHLBI · YALE UNIVERSITY · PI JAMES S DUNCAN, Georges El Fakhri · 2010 to 2026
$5.2M
PET Imaging of MMP Activation in AAA: First in-Human EvaluationR01AG065917 · NIA · YALE UNIVERSITY · PI GROPLER, ROBERT J., SADEGHI, MEHRAN M · 2020 to 2024
$3.3M
Molecular Imaging of Collagen Turnover in CardiomyopathyR01HL161746 · NHLBI · YALE UNIVERSITY · PI SADEGHI, MEHRAN M · 2022 to 2025
$3.1M
BLRD VA I01 BX006098NHLBI NIH HHS R01 HL161746NHLBI NIH HHS T32 HL098069NIA NIH HHS R01 AG065917
6 · The paper itself

Abstract

Cardiac fibrosis is a key contributor to cardiomyopathy after myocardial infarction (MI). Existing imaging techniques can detect established fibrotic changes; however, they lack sensitivity for ongoing collagen turnover-a dynamic process involving the denaturation of collagen triple helix. Molecular imaging of this process could enhance risk assessment and aid in the development of anti-fibrotic treatments. This study aimed to evaluate Methods: Results: Conclusion:

Indexed as

CardiomyopathyFibrosisMolecular ImagingMyocardial InfarctionSPECT/CT

Identifiers

PMID41648141
PMCPMC12871751

What OpenQuestion holds

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LicenceCC BY-NC
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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.