Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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.
Takuto TorimitsuDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0009-0005-8991-0442
Kenichiro KinouchiDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-4743-2583
Kousha Changizi AshtianiDepartment of Computer Science, University of California, Irvine, Irvine, CA 92697, USA.ORCID 0009-0005-9233-5899
Sherif AbdelkarimDepartment of Computer Science, University of California, Irvine, Irvine, CA 92697, USA.ORCID 0000-0002-7456-6133
Tomoki SatoLaboratory of Nutritional Biochemistry, Graduate School of Nutritional and Environmental Sciences, University of Shizuoka, Shizuoka, Japan.ORCID 0000-0003-3044-6874
Takahide KozumaDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0009-0005-9535-9933
Na YaoDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0009-0000-5041-0786
Akihide IwaharaDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0009-0008-4378-3291
Kyosuke KatoDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0009-0001-6259-0478
Shun TonomuraDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0009-0000-7007-4417
Toshifumi NakamuraDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-2485-7028
Kenichi YokotaDivision of Metabolism and Endocrinology, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Japan.ORCID 0000-0001-9648-182X
Isao KuriharaDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-1782-8643
Pierre BaldiDepartment of Computer Science, University of California, Irvine, Irvine, CA 92697, USA.ORCID 0000-0001-8752-4664
Hiroshi ItohDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-2514-4919
Kaori HayashiDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-4923-1550
Funding
Bioinformatics Tools for Circadian BiologyR01GM123558 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI Pierre Baldi · 2017 to 2026
$2.4M
NIGMS NIH HHS R01 GM123558
6 · The paper itself
Abstract
Circadian misalignment of the feeding behavior and the terrestrial cycle is associated with obesity and metabolic perturbations. However, it remains unclear whether the quantity and timing of dietary salt intake influence temporal sodium handling and blood pressure regulation. Here, we demonstrate that the colonic mineralocorticoid receptor (MR) and peripheral clock affect the daily sodium absorption and blood pressure variations. Genes related to sodium handling display diurnal rhythms in synchrony with the daily rhythms of aldosterone and the colonic circadian clock. Cistromic analysis substantiated the overlap of occupancy between the MR and brain and muscle ARNT-like 1 (BMAL1). Diurnal oscillation of aldosterone and peripheral clocks, as well as blood pressure, was robustly driven by nighttime feeding of a low-salt diet but markedly disrupted by daytime feeding of a high-salt diet in nocturnal mice. These findings delineate the colonic temporal sensing of dietary sodium abundance and highlight the transcriptional mechanisms of daily salt handling and blood pressure variations.
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.
Circadian reprogramming by timed sodium intake reveals transcriptional pathways of daily salt handling in the colon. · full record | OpenQuestion