Evidence map›Paper›PMID 35809207›Full record

ArticleJournal of cell communication and signaling2023

Prediction of cellular targets in diabetic kidney diseases with single-cell transcriptomic analysis of db/db mouse kidneys.

Chenhua Wu, Yingjun Tao, Nan Li, Jingjin Fei, Yurong Wang, Jie Wu, Harvest F Gu

Open access · greenAbstract read
In one paragraph

Article in Journal of cell communication and signaling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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  8. Evaluation of the efficacy ofFrontiers in pharmacology · 2023
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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

7 authors at 2 institutions in 1 country.

Chenhua WuLaboratory of Molecular Medicine, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Yingjun TaoLaboratory of Minigene Pharmacy, School of Life Science and Technology, China Pharmaceutical University, Nanjing, 211198, China.
Nan LiLaboratory of Molecular Medicine, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Jingjin FeiLaboratory of Minigene Pharmacy, School of Life Science and Technology, China Pharmaceutical University, Nanjing, 211198, China.
Yurong WangLaboratory of Molecular Medicine, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Jie WuLaboratory of Minigene Pharmacy, School of Life Science and Technology, China Pharmaceutical University, Nanjing, 211198, China. wujie@cpu.edu.cn.
Harvest F GuLaboratory of Molecular Medicine, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China. feng.gu@cpu.edu.cn.ORCID http://orcid.org/0000-0003-4578-5449
China Pharmaceutical University · CNNanjing University of Chinese Medicine · CN

Funding

Cooperation Research Project XH20190128Start grant of CPU 20180815
6 · The paper itself

Abstract

Diabetic kidney disease is the leading cause of impaired kidney function, albuminuria, and renal replacement therapy (dialysis or transplantation), thus placing a large burden on health-care systems. This urgent event requires us to reveal the molecular mechanism of this disease to develop more efficacious treatment. Herein, we reported single-cell RNA sequencing analyses in kidneys of db/db mouse, an animal model for type 2 diabetes and diabetic kidney disease. We first analyzed the hub genes expressed differentially in the single cell resolution transcriptome map of the kidneys. Then we figured out the communication among the renal and immune cells in the kidneys. Data from this report may provide novel information for better understanding the cell-specific targets involved in the aetiologia of type 2 diabetic kidney disease and for cell communication and signaling between renal cells and immune cells of this complex disease.

Indexed as

DiabetesDiabetic kidney diseaseEnd-stage renal diseaseProximal epithelial tubular cellsSingle-cell RNA sequencing

Identifiers

PMID35809207
PMCPMC10030752
OpenAlexW4284990415

What Socratic holds

Textmetadata
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.