Evidence map›Paper›PMID 35778423›Full record

ArticleScientific reports2022

Single-cell RNA sequencing data analysis suggests the cell-cell interaction patterns of the pituitary-kidney axis.

Yiyao Deng, Jingjing Da, Jiali Yu, Chaomin Zhou, Jing Yuan, Yan Zha

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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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

6 authors at 2 institutions in 1 country.

Yiyao DengDepartment of Nephrology, Guizhou Provincial People's Hospital, 83, Zhongshan Road, Nanming District, Guiyang, 550002, Guizhou, China.
Jingjing DaDepartment of Nephrology, Guizhou Provincial People's Hospital, 83, Zhongshan Road, Nanming District, Guiyang, 550002, Guizhou, China.
Jiali YuDepartment of Nephrology, Guizhou Provincial People's Hospital, 83, Zhongshan Road, Nanming District, Guiyang, 550002, Guizhou, China.
Chaomin ZhouDepartment of Nephrology, Guizhou Provincial People's Hospital, 83, Zhongshan Road, Nanming District, Guiyang, 550002, Guizhou, China.
Jing YuanDepartment of Nephrology, Guizhou Provincial People's Hospital, 83, Zhongshan Road, Nanming District, Guiyang, 550002, Guizhou, China. yuanjinger@126.com.
Yan ZhaDepartment of Nephrology, Guizhou Provincial People's Hospital, 83, Zhongshan Road, Nanming District, Guiyang, 550002, Guizhou, China. zhayan72@126.com.
Guizhou Provincial People's Hospital · CNGuizhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney functions, including electrolyte and water reabsorption and secretion, could be influenced by circulating hormones. The pituitary gland produces a variety of hormones and cytokines; however, the influence of these factors on the kidney has not been well explained and explored. To provide more in-depth information and insights to support the pituitary-kidney axis connection, we used mouse pituitary and kidney single-cell transcriptomics data from the GEO database for further analysis. Based on a ligand-receptor pair analysis, cell-cell interaction patterns between the pituitary and kidney cell types were described. Key ligand-receptor pairs, such as GH-GHR, PTN-SDC2, PTN-SDC4, and DLK1-NOTCH3, were relatively active in the pituitary-kidney axis. These ligand-receptor pairs mainly target proximal tubule cells, principal cells, the loop of Henle, intercalated cells, pericytes, mesangial cells, and fibroblasts, and these cells are related to physiological processes, such as substance reabsorption, angiogenesis, and tissue repair. Our results suggested that the pituitary gland might directly regulate kidney function by secreting multiple hormones or cytokines and indicated that the above ligand-receptor pairs might represent a new research focus for studies on kidney function or kidney disease.

Indexed as

Data AnalysisPituitary GlandAnimalsCell CommunicationCytokinesHormonesKidneyLigandsMiceSequence Analysis, RNACytokinesHormonesLigands

Identifiers

PMID35778423
PMCPMC9249760
OpenAlexW4283752810

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.