Evidence map›Paper›PMID 35177125›Full record

ArticleStem cell research & therapy2022

Identification of functional pathways for regenerative bioactivity of selected renal cells.

Wei Sha, Timothy Bertram, Deepak Jain, Cory Brouwer, Joydeep Basu

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2022. 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
0.2field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

5 authors at 1 institution in 1 country.

Wei ShaBioinformatics Services Division, Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 150 Research Campus Drive, Ste. 3333, Kannapolis, NC, 28081, USA.
Timothy BertramProkidney, LLC, Winston-Salem, NC, 27103, USA.
Deepak JainProkidney, LLC, Winston-Salem, NC, 27103, USA.
Cory BrouwerBioinformatics Services Division, Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 150 Research Campus Drive, Ste. 3333, Kannapolis, NC, 28081, USA.
Joydeep BasuProkidney, LLC, Winston-Salem, NC, 27103, USA. joydeep.basu@prokidney.com.
University of North Carolina at Charlotte · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelected renal cells (SRC) are in Phase II clinical trials as a kidney-sourced, autologous, tubular epithelial cell-enriched cell-based therapy for chronic kidney disease (CKD). In preclinical studies with rodent models of CKD, SRC have been shown to positively modulate key renal biomarkers associated with development of the chronic disease condition.

methodsA comparative bioinformatic analysis of transcripts specifically enriched or depleted in SRC component sub-populations relative to the initial, biopsy-derived cell source was conducted.

resultsOutcomes associated with therapeutically relevant bioactivity from a systematic, genome-wide transcriptomic profiling of rodent SRC are reported. Key transcriptomic networks and concomitant signaling pathways that may underlie SRC mechanism of action as manifested by reparative, restorative, and regenerative bioactivity in rodent models of chronic kidney disease are identified. These include genes and gene networks associated with cell cycle control, transcriptional control, inflammation, ECM-receptor interaction, immune response, actin polymerization, regeneration, cell adhesion, and morphogenesis.

conclusionsThese data indicate that gene networks associated with development of the kidney are also leveraged for SRC regenerative bioactivity, providing evidence of potential mechanisms of action.

Indexed as

KidneyRenal Insufficiency, ChronicEpithelial CellsGene Expression ProfilingGene Regulatory NetworksHumansCell therapyChronic kidney diseaseMechanism of actionPotency assayPreclinical animal modelSelected renal cellsStem cellTissue engineeringTranscriptomics

Identifiers

PMID35177125
PMCPMC8851708
OpenAlexW4212980576

What OpenQuestion 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 OpenQuestion graph.