Evidence map›Paper›PMID 34901088›Full record

ReviewFrontiers in medicine2021

Emerging Technologies to Study the Glomerular Filtration Barrier.

Emma Gong, Laura Perin, Stefano Da Sacco, Sargis Sedrakyan

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2021. 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

4 authors.

Emma GongDivision of Urology, GOFARR Laboratory for Organ Regenerative Research and Cell Therapeutics, Children's Hospital Los Angeles, Saban Research Institute, Los Angeles, CA, United States.
Laura PerinDivision of Urology, GOFARR Laboratory for Organ Regenerative Research and Cell Therapeutics, Children's Hospital Los Angeles, Saban Research Institute, Los Angeles, CA, United States.
Stefano Da SaccoDivision of Urology, GOFARR Laboratory for Organ Regenerative Research and Cell Therapeutics, Children's Hospital Los Angeles, Saban Research Institute, Los Angeles, CA, United States.
Sargis SedrakyanDivision of Urology, GOFARR Laboratory for Organ Regenerative Research and Cell Therapeutics, Children's Hospital Los Angeles, Saban Research Institute, Los Angeles, CA, United States.

Funding

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
Novel mechanisms of glomerular injury in primary membranous nephropathyR01DK123234 · NIDDK · CHILDREN'S HOSPITAL OF LOS ANGELES · PI DA SACCO, STEFANO · 2020 to 2024
$1.9M
USC/CHLA Summer Oncology Research Fellowship (SORF) Program for Medical StudentsR25CA225513 · NCI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI ANAT ERDREICH-EPSTEIN, WIJBE MARTIN KAST · 2019 to 2026
$1.7M
NCI NIH HHS R25 CA225513NIDDK NIH HHS R01 DK121037NIDDK NIH HHS R01 DK123234
6 · The paper itself

Abstract

Kidney disease is characterized by loss of glomerular function with clinical manifestation of proteinuria. Identifying the cellular and molecular changes that lead to loss of protein in the urine is challenging due to the complexity of the filtration barrier, constituted by podocytes, glomerular endothelial cells, and glomerular basement membrane. In this review, we will discuss how technologies like single cell RNA sequencing and bioinformatics-based spatial transcriptomics, as well as

Indexed as

glomerular filtration barrierkidney diseasekidney-on-a-chipkidney organoidsProteinuriasingle cell transcriptomicsspatial transcriptomics

Identifiers

PMID34901088
PMCPMC8655839

What OpenQuestion holds

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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 OpenQuestion graph.