Evidence map›Paper›PMID 40529830›Full record

ArticleFrontiers in endocrinology2025

Multiparametric MRI assessment of renal blood oxygenation, fat content, and hemodynamics in an animal model of metabolic dysfunction-associated steatotic liver disease.

Chao Wang, Jiaming Qin, Hongtao Yuan, Jin Zhou, Ting Cao, Jinxia Zhu, Simeng Kang, Shuangshuang Xie, Wen Shen

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Chao WangFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Jiaming QinDepartment of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin Institute of Imaging Medicine, Tianjin, China.
Hongtao YuanDepartment of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin Institute of Imaging Medicine, Tianjin, China.
Jin ZhouGeneral Surgery Department, Affiliated Hospital of Inner Mongolia Minzu University, Tongliao, Inner Mongolia, China.
Ting CaoDepartment of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin Institute of Imaging Medicine, Tianjin, China.
Jinxia ZhuMR Research Collaboration, Siemens Healthineers, Beijing, China.
Simeng KangDepartment of Stomatology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Shuangshuang XieDepartment of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin Institute of Imaging Medicine, Tianjin, China.
Wen ShenDepartment of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin Institute of Imaging Medicine, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a significant risk factor for chronic kidney disease. There is a lack of an accurate and comprehensive technique for detecting MASLD-related renal injury. This study aims to evaluate the efficacy of arterial spin labeling (ASL), blood oxygen level-dependent (BOLD) imaging, and proton density fat fraction (PDFF) for assessing renal injury in an animal model of MASLD. Methods: An animal model of MASLD was established using a high-fat diet. Forty-nine 6-week-old male Sprague-Dawley rats were divided into the pathology (14, 16, 18, 20, 22, and 24 weeks, n = 7 per subgroup) and continuous-scanning (n = 7) groups. Renal alterations at different time points were quantified through the application of ASL-renal blood flow (RBF), BOLD-T2*, and Fat Fraction (FF), alongside pathological indices and blood biochemical markers. Results: RBF did not change significantly from 14-24 weeks, consistent with the peritubular capillary density. Compared with those at week 14, renal T2* significantly decreased at week 20, FF increased at week 20, and serum creatine levels increased at week 24. Renal T2* and FF were significantly correlated with renal H&E scores and HIF-1α expression (|r| = 0.3552-0.7745). Kidney BOLD-T2*, liver and kidney FF enabled detecting renal injury in an animal model of MASLD (area under the curve = 0.76-0.86). Conclusion: During fatty liver disease progression, renal blood oxygen levels decreased, fat deposition increased, and blood flow remained unchanged. BOLD and PDFF allowed accurately quantifying these changes to facilitate early detection of kidney injury.

Indexed as

Fatty LiverHemodynamicsKidneyMultiparametric Magnetic Resonance ImagingNon-alcoholic Fatty Liver DiseaseOxygenAnimalsDiet, High-FatDisease Models, AnimalMaleRatsRats, Sprague-DawleyRenal CirculationOxygenblood oxygenationfat contenthemodynamicsMASLDmultiparametric MRIrenal

Identifiers

PMID40529830
PMCPMC12171186

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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.