Evidence map›Paper›PMID 38516889›Full record

ArticleJCI insight2024

The spatially resolved transcriptome signatures of glomeruli in chronic kidney disease.

Geremy Clair, Hasmik Soloyan, Paolo Cravedi, Andrea Angeletti, Fadi Salem, Laith Al-Rabadi, Roger E De Filippo, Stefano Da Sacco, Kevin V Lemley, Sargis Sedrakyan and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 7 institutions in 2 countries.

Geremy ClairBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Hasmik SoloyanThe GOFARR Laboratory, The Saban Research Institute, Division of Urology, Children's Hospital Los Angeles, Los Angeles, California, USA.
Paolo CravediDepartment of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Andrea AngelettiNephrology Dialysis and Renal Transplantation, IRCCS Istituto Giannina Gaslini, Genova, Italy.
Fadi SalemDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, Florida, USA.
Laith Al-RabadiDivision of Nephrology and Hypertension, Department of Internal Medicine, University of Utah Health, Salt Lake City, Utah, USA.
Roger E De FilippoBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Stefano Da SaccoBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Kevin V LemleyDivision of Nephrology, Department of Pediatrics, University of Southern California, Los Angeles, California, USA.
Sargis SedrakyanBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Laura PerinBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Pacific Northwest National Laboratory · USChildren's Hospital of Los Angeles · USIcahn School of Medicine at Mount Sinai · USIstituto Giannina Gaslini · ITJacksonville College · USUniversity of Southern California · USUniversity of Utah · US

Funding

Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HOLZMAN, LAWRENCE B. · 2009 to 2023
$20.3M
Extracellular vesicles derived from amniotic fluid stem cells normalize glomerular function during progressive kidney disease.R01DK121037 · NIDDK · CHILDREN'S HOSPITAL OF LOS ANGELES · PI PERIN, LAURA · 2020 to 2023
$2.2M
NIDDK NIH HHS R01 DK121037NIDDK NIH HHS U54 DK083912
6 · The paper itself

Abstract

Here, we used digital spatial profiling (DSP) to describe the glomerular transcriptomic signatures that may characterize the complex molecular mechanisms underlying progressive kidney disease in Alport syndrome, focal segmental glomerulosclerosis, and membranous nephropathy. Our results revealed significant transcriptional heterogeneity among diseased glomeruli, and this analysis showed that histologically similar glomeruli manifested different transcriptional profiles. Using glomerular pathology scores to establish an axis of progression, we identified molecular pathways with progressively decreased expression in response to increasing pathology scores, including signal recognition particle-dependent cotranslational protein targeting to membrane and selenocysteine synthesis pathways. We also identified a distinct signature of upregulated and downregulated genes common to all the diseases investigated when compared with nondiseased tissue from nephrectomies. These analyses using DSP at the single-glomerulus level could help to increase insight into the pathophysiology of kidney disease and possibly the identification of biomarkers of disease progression in glomerulopathies.

Indexed as

Glomerulosclerosis, Focal SegmentalNephritis, HereditaryRenal Insufficiency, ChronicHumansKidney GlomerulusTranscriptomeChronic kidney diseaseNephrology

Identifiers

PMID38516889
PMCPMC11063942
OpenAlexW4394000061

What Socratic holds

Textmetadata
LicenceCC BY
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.