Evidence map›Paper›PMID 41659454›Full record

ArticlebioRxiv : the preprint server for biology2026

Reciprocal adipose-heart regulation of NRAC.

Zhiyao Fu, Chao Zhang, Ren Zhang

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

3 authors.

Zhiyao FuCenter for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI 48201, USA.
Chao ZhangBiostatistics Shared Resource, Winship Cancer Institute of Emory University, 718 Gatewood Rd. NE, Atlanta, GA 30322, USA.
Ren ZhangCenter for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI 48201, USA.

Funding

Mitochondrial NAD kinase: function and mechanism in metabolismR01DK132065 · NIDDK · WAYNE STATE UNIVERSITY · PI ZHANG, KEZHONG, ZHANG, REN · 2022 to 2025
$1.5M
NIDDK NIH HHS R01 DK132065
6 · The paper itself

Abstract

Fatty acids (FAs) are a major energy substrate, and their storage and utilization must be balanced across tissues to maintain metabolic homeostasis. White adipose tissue (WAT) and the heart play opposing roles in FA metabolism, with WAT serving as the primary site of FA storage and the heart relying heavily on FAs as an energy source. However, the molecular factors regulating FA handling between the two tissues remain incompletely understood. We previously identified NRAC as a nutritionally regulated adipose- and cardiac-enriched protein; however, how its expression is regulated between these tissues across nutritional states, and how this relates to systemic FA homeostasis, remains unclear. Here, we integrate analyses of human transcriptomic datasets with nutritional and genetic perturbations in mice to examine the association between NRAC and FA metabolism. Human single-cell transcriptomic data from GTEx show enrichment of NRAC expression in adipocytes and cardiomyocytes, and analysis of subcutaneous adipose tissue from the UK Twins cohort reveals strong associations between NRAC expression and the abundance of multiple adipose lipid species. In mice, NRAC expression in WAT and heart was reciprocally regulated by fasting and refeeding and showed opposing associations with circulating free fatty acid (FFA) levels; moreover, whole-body deletion of NRAC elevated circulating FFA. Together, these findings support a role for NRAC in nutritionally responsive inter-organ regulation of FA between WAT and the heart, with implications for systemic lipid homeostasis.

Indexed as

adipocyteadiposeCD36fatty acidsheartmyocyteNRAC

Identifiers

PMID41659454
PMCPMC12873920

What OpenQuestion holds

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Registered trials

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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.