In one paragraphArticle 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
17 authors.
Khanh-Van TranDivision of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA, USA.ORCID 0000-0002-7036-2969 Bernard OfosuheneDivision of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA, USA.ORCID 0000-0003-1479-9215 Anton GulkoDivision of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA.ORCID 0000-0003-3471-9665 Taylor OrwigDivision of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA, USA.ORCID 0000-0002-4899-7677 Zinger Yang LoureiroDivision of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA.ORCID 0000-0001-8543-4841 Christopher JacobsDivision of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Bella VogtDivision of Cardiac Surgery, University of Massachusetts Medical School, Worcester, MA, USA.
Irina RaduDivision of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA, USA.ORCID 0000-0001-7859-6674 David BunsickDivision of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Linus TsaiDivision of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA.ORCID 0000-0002-0134-6949 Leora BalsamDivision of Cardiac Surgery, University of Massachusetts Medical School, Worcester, MA, USA.
Jennifer WalkerDivision of Cardiac Surgery, University of Massachusetts Medical School, Worcester, MA, USA.
Kate FitzgeraldDepartment of Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
David McManusDivision of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Silvia CorveraProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA, USA.ORCID 0000-0002-0009-4129 Evan D RosenDivision of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA.ORCID 0000-0003-4603-708X Margo P EmontSection of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Chicago, Chicago, IL, USA.ORCID 0000-0001-9873-2784 Funding
Transgenic CoreP30DK057521 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI KAHN, BARBARA B. · 2000 to 2019
$31.4MTransgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI LOWELL, BRADFORD B · 1992 to 2021
$25.0MInvestigating Human Adipocyte HeterogeneityRC2DK116691 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Orr Ashenberg, Noel P Burtt · 2018 to 2026
$17.8MP&F programP30DK135043 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Aaron S Leong · 2023 to 2026
$5.4MThe role of interferon regulatory factors in tanycytes during HFD-induced inflammation, obesity and glucose dysregulationR01DK128406 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Linus Tzu-Yen Tsai · 2022 to 2026
$2.7MThe Role of Perivascular Adipose Tissue in Atherosclerotic Cardiovascular Disease (PVAT-ASCVD)R01HL180833 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Khanh-Van Thi Tran · 2025 to 2026
$1.5MThe Role of Highly inflamed Epicardial Adipose Tissue in the Development of Atrial FibrillationK23HL161432 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Khanh-Van Thi Tran · 2022 to 2026
$881kInvestigating the regulation of distinct human adipocyte subpopulationsK01DK134806 · NIDDK · UNIVERSITY OF CHICAGO · PI Margo Preminger Emont · 2023 to 2026
$592kCharacterizing adipocyte heterogeneity in response to metabolic stressR03DK147721 · NIDDK · UNIVERSITY OF CHICAGO · PI Margo Preminger Emont · 2026 to 2026
$123kNHLBI NIH HHS K23 HL161432NHLBI NIH HHS R01 HL180833NIDDK NIH HHS K01 DK134806NIDDK NIH HHS P30 DK046200NIDDK NIH HHS P30 DK057521NIDDK NIH HHS P30 DK135043NIDDK NIH HHS R01 DK128406NIDDK NIH HHS R03 DK147721NIDDK NIH HHS RC2 DK116691
6 · The paper itselfAbstract
Background: Adipose tissue surrounding the heart and vasculature plays critical roles in cardiovascular homeostasis and disease, yet the cellular and molecular milieu of these depots at single-cell resolution remains incompletely characterized. Understanding how regional adipocytes differ transcriptionally and communicate with neighboring cardiovascular cells is essential for developing targeted therapeutic strategies. Methods: We performed single-nucleus RNA sequencing (snRNA-seq) on human adipose tissue from four anatomically distinct depots: ascending aorta, left atrium, right coronary artery, and subcutaneous fat. We characterized cellular composition, adipocyte and progenitor heterogeneity, depot-specific transcriptional programs, and intercellular communication networks. We further examined signaling remodeling in disease contexts, including atrial fibrillation and aortic aneurysm. Results: We identified six transcriptionally distinct adipocyte subpopulations and six adipocyte stromal and progenitor cell (ASPC) subpopulations were shared across depots but showed marked differences in abundance and gene expression reflecting developmental imprinting, including HOX family genes and anterior-posterior patterning programs. Intercellular communication analysis revealed depot-specific ligand-receptor interactions, with EPHA signaling identified as selectively enriched in the left atrial adipose depot. Disease-state analyses demonstrated extensive change in cell-cell communication in atrial fibrillation and aortic aneurysm, with differential regulation of FN1, EGF, SLIT, NOTCH, and CD46 signaling pathways. Conclusions: Our study reveals that cardiac and vascular adipose depots harbor transcriptionally specialized adipocytes and progenitors with distinct intercellular communication programs that are remodeled in atrial fibrillation and aortic aneurysm.
Identifiers
PMID42845605
PMCPMC13640794
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