Evidence map›Paper›PMID 41552921›Full record

ArticleClinical science (London, England : 1979)2026

Disrupted renal clock and blood pressure rhythms in type 2 diabetic nephropathy.

Biyang Xu, Marharyta Semenikhina, Ratnakar Tiwari, Vladislav Levchenko, Olha Kravtsova, Melissa Lowe, Oleg Palygin, Alexander Staruschenko

Abstract read
In one paragraph

Article in Clinical science (London, England : 1979), 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

8 authors.

Biyang XuDepartment of Molecular Pharmacology and Physiology, University of South Florida, Tampa, FL, U.S.A.
Marharyta SemenikhinaDepartment of Medicine, Division of Nephrology, Medical University of South Carolina, Charleston, SC, U.S.A.
Ratnakar TiwariDepartment of Molecular Pharmacology and Physiology, University of South Florida, Tampa, FL, U.S.A.
Vladislav LevchenkoDepartment of Molecular Pharmacology and Physiology, University of South Florida, Tampa, FL, U.S.A.
Olha KravtsovaDepartment of Molecular Pharmacology and Physiology, University of South Florida, Tampa, FL, U.S.A.
Melissa LoweDepartment of Molecular Pharmacology and Physiology, University of South Florida, Tampa, FL, U.S.A.
Oleg PalyginDepartment of Medicine, Division of Nephrology, Medical University of South Carolina, Charleston, SC, U.S.A.
Alexander StaruschenkoDepartment of Molecular Pharmacology and Physiology, University of South Florida, Tampa, FL, U.S.A.ORCID 0000-0002-5190-8356

Funding

Sexual dimorphisms and role of the cGAS-STING pathway in diabetic nephropathyR01DK135644 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI Alexander Staruschenko · 2023 to 2026
$2.0M
Per1 and the kidney clock in hypertensionR01DK109570 · NIDDK · UNIVERSITY OF FLORIDA · PI GUMZ, MICHELLE L · 2017 to 2021
$1.5M
Renal diabetic complications mediated by the PAR1 signaling in podocytesR01DK129227 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI PALYGIN, OLEG, STARUSCHENKO, ALEXANDER · 2022 to 2025
$1.3M
Training in Research on Vascular Inflammation and InjuryT32HL160529 · NHLBI · UNIVERSITY OF SOUTH FLORIDA · PI Sarah Y Yuan · 2022 to 2026
$1.1M
Molecular insights into the role of basolateral Kir channels in controlling acid-base balance in salt-sensitive hypertensionK99DK143296 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI Biyang Xu · 2025 to 2026
$180k
American Heart Association 25CDA1449142BLRD VA I01 BX004024NHLBI NIH HHS T32 HL160529NIDDK NIH HHS DK129227NIDDK NIH HHS DK135644NIDDK NIH HHS DK135644; DK129227: DK143296NIDDK NIH HHS DK143296NIDDK NIH HHS K99 DK143296NIDDK NIH HHS R01 DK109570NIDDK NIH HHS R01 DK129227NIDDK NIH HHS R01 DK135644VA I01 BX004024 IK6 RD001204VA I01 BX004024; IK6 RD001204
6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM), accounting for approximately 90% of adult-onset diabetes cases, is a major risk factor for diabetic kidney disease (DKD). Emerging evidence has linked T2DM with disrupted circadian rhythms. However, its role in the progression of DKD remains poorly understood. To investigate the relationship between circadian rhythms and DKD, we used the type 2 diabetic nephropathy (T2DN) rat, a non-obese model that replicates key features of human DKD. Circadian rhythms were assessed in both male and female T2DN rats at 20 and >35 weeks (young and old) by continuous measurements of mean arterial pressure (MAP), systolic blood pressure (SBP), heart rate, and locomotor activity. Differential expression of circadian genes was evaluated by RNA sequencing of kidney cortex. In separate cohorts, the effects of renal denervation and melatonin treatment on circadian parameters were examined. T2DN rats exhibited impaired circadian rhythms in MAP and SBP, while heart rate and locomotor activity retained rhythmicity. Transcriptomic analysis revealed altered expression of several circadian-related genes, including core circadian gene Per1 and multiple circadian-controlled genes involved in insulin sensitivity, lipid metabolism, and immune regulation between different groups of T2DN rats. Neither renal denervation nor melatonin administration restored normal circadian rhythms of T2DN rats. Our data suggest that circadian rhythm disruption of blood pressure is a consistent feature of T2DN rats and that targeting circadian clock components such as Per1 could offer potential therapeutic strategies.

Indexed as

Blood PressureCircadian ClocksCircadian RhythmDiabetes Mellitus, Type 2Diabetic NephropathiesKidneyAnimalsDisease Models, AnimalFemaleHeart RateMaleMelatoninPeriod Circadian ProteinsRatsMelatoninPeriod Circadian ProteinsCircadian RhythmDiabetic Kidney DiseasePer1T2DN Rat Model

Identifiers

PMID41552921
PMCPMC13463387

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.