ArticleAmerican journal of physiology. Renal physiology2025
Decreased parietal epithelial cell density is linked to podocyte depletion and predictors of kidney disease progression in human kidneys.
Jenna T Ference-Salo, Christopher L O'Connor, Rajasree Menon, Edgar A Otto, Meghan Dailey, Markus Bitzer, Jeffrey A Beamish
Abstract read
In one paragraphArticle in American journal of physiology. Renal physiology, 2025. 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
7 authors.
Jenna T Ference-SaloDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States.
Christopher L O'ConnorDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States.
Rajasree MenonDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States.
Edgar A OttoDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States.ORCID 0000-0002-2387-9973 Meghan DaileyAdvanced Research Computing, University of Michigan, Ann Arbor, Michigan, United States.
Markus BitzerDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States.ORCID 0000-0002-3711-2984 Jeffrey A BeamishDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States.ORCID 0000-0003-4851-3481 Funding
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PENNATHUR, SUBRAMANIAM · 2008 to 2022
$12.9MMolecular genetic mechanisms of renal cell regenerationK08DK125776 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEAMISH, JEFFREY ALAN · 2020 to 2024
$849kDeep learning and topological approaches to identify kidney tissue features associated with adverse outcomes after nephrectomyR21DK126329 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BITZER, MARKUS, SHEDDEN, KERBY · 2021 to 2022
$429kPax8-Hnf4a co-regulation in ischemic kidney injuryR03DK140216 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEAMISH, JEFFREY ALAN · 2024 to 2025
$234kAmerican Society of Nephrology (ASN) KidneyCure Carl W. Gottschalk Research Scholar GrantChan Zuckerberg Initiative (CZI) 2019-002447HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) DK125776HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) DK126329HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) DK140216HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) DK-P30-081943NIDDK NIH HHS K08 DK125776NIDDK NIH HHS P30 DK081943NIDDK NIH HHS R03 DK140216NIDDK NIH HHS R21 DK126329
6 · The paper itselfAbstract
Parietal epithelial cells (PECs) have been implicated in the pathogenesis of glomerulosclerosis in rodent models, and novel technologies are beginning to unravel their contributions to human glomerular disease. Here, we report the development, validation, and application of a deep learning approach to analyze the PEC population in over 14,000 glomeruli from nephrectomy samples from patients with minimal overt chronic kidney disease (CKD). This analysis revealed a striking correlation between PEC density and podocyte density. Reduced PEC density was also associated with aging and the presence of diabetes. Furthermore, the PEC density in normal-appearing glomeruli was associated with the frequency of glomerular pathology, including global and segmental glomerulosclerosis, in the same patient sample. Patients with low PEC density had gene expression changes consistent with cellular stress in PECs. These observations support a link between PEC population and the progression of CKD.
Indexed as
Epithelial CellsKidney GlomerulusPodocytesRenal Insufficiency, ChronicAdultAgedCell CountDeep LearningDisease ProgressionFemaleGlomerulosclerosis, Focal SegmentalHumansMaleMiddle AgedNephrectomyglomerulosclerosisparietal epithelial cellpodocyte
Identifiers
PMID41052018
PMCPMC12956430
What OpenQuestion holds
Textmetadata
LicenceTDM
Read underepoch 390