Evidence map›Paper›PMID 42898132›Full record

ArticleiScience2026

Multi-omics profiling reveals molecular features of visceral adiposity in autonomous cortisol secretion.

Hiroshi Nakao, Maki Yokomoto-Umakoshi, Masamichi Fujita, Kohta Nakatani, Yuya Kitamura, Ryo Ogasawara, Hiroki Kaneko, Norifusa Iwahashi, Yui Nakano, Tazuru Fukumoto and 8 more

Abstract read
In one paragraph

Article in iScience, 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

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

18 authors.

Hiroshi NakaoDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Maki Yokomoto-UmakoshiDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Masamichi FujitaDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kohta NakataniDivision of Metabolomics, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Yuya KitamuraDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Ryo OgasawaraDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Hiroki KanekoDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Norifusa IwahashiDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yui NakanoDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Tazuru FukumotoDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Tatsuki OgasawaraDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Hiroki TakayanagiDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Takashi MatsumotoDepartment of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yoshihiro IzumiDivision of Metabolomics, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Masatoshi EtoDepartment of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Takeshi BambaDivision of Metabolomics, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Hironobu UmakoshiDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yoshihiro OgawaDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autonomous cortisol secretion (ACS) from adrenal adenomas increases cardiometabolic risk. Visceral adiposity is a hallmark of ACS. We characterized ACS-associated visceral adiposity using multi-omics profiling of periadrenal adipose tissue and plasma. ACS exhibited higher visceral-to-subcutaneous fat ratio (VSR), adipocyte hypertrophy, and inflammation-related pathway enrichment than non-functioning adrenal tumors. RNA-seq deconvolution and immunohistochemistry indicated increased macrophage infiltration. Plasma steroid metabolomics identified 11-deoxycorticosterone (11-DOC), a mineralocorticoid metabolite, as positively associated with VSR in premenopausal ACS women independent of cortisol. The 11-DOC-associated gene module correlated with inflammation-related pathways, notably macrophage activation. Lipidomics identified ceramides as ACS discriminators, with Cer(d18:1/16:0) most strongly associated with inflammation- and lipid metabolism-related pathways. Mendelian randomization showed genetically predicted plasma Cer(d18:1/16:0) was positively associated with trunk fat mass. These findings identify circulating 11-DOC and adipose ceramide accumulation as molecular features associated with adipose inflammation and visceral adiposity in ACS, providing hypothesis-generating insights that require functional validation.

Indexed as

autonomous cortisol secretionceramidemulti-omicssteroid metabolitesvisceral adiposity

Identifiers

PMID42898132
PMCPMC13677310

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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.