Evidence map›Paper›PMID 37460555›Full record

ArticleCell death & disease2023

Single-cell transcriptomic profiles in the pathophysiology within the microenvironment of early diabetic kidney disease.

Yi-Chun Tsai, Mei-Chuan Kuo, Juan-Chi Huang, Wei-An Chang, Ling-Yu Wu, Yung-Chi Huang, Chao-Yuan Chang, Su-Chu Lee, Ya-Ling Hsu

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  7. Cell-cell crosstalk in kidney health and disease.Nature reviews. Nephrology · 2026
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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

9 authors at 1 institution in 1 country.

Yi-Chun TsaiSchool of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.ORCID 0000-0003-4923-3342
Mei-Chuan KuoDivision of Nephrology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Juan-Chi HuangDivision of Nephrology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Wei-An ChangDivision of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Ling-Yu WuGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Yung-Chi HuangGraduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Taiwan, Kaohsiung, Taiwan.
Chao-Yuan ChangDepartment of Anatomy, Kaohsiung Medical University, Kaohsiung, Taiwan.
Su-Chu LeeDivision of Nephrology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Ya-Ling HsuDrug Development and Value Creation Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan. yainghsu@kmu.edu.tw.ORCID 0000-0002-1288-8348
Kaohsiung Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease, resulting in a huge socio-economic impact. Kidney is a highly complex organ and the pathogenesis underlying kidney organization involves complex cell-to-cell interaction within the heterogeneous kidney milieu. Advanced single-cell RNA sequencing (scRNA-seq) could reveal the complex architecture and interaction with the microenvironment in early DKD. We used scRNA-seq to investigate early changes in the kidney of db/m mice and db/db mice at the 14th week. Uniform Manifold Approximation and Projection were applied to classify cells into different clusters at a proper resolution. Weighted gene co-expression network analysis was used to identify the key molecules specifically expressed in kidney tubules. Information of cell-cell communication within the kidney was obtained using receptor-ligand pairing resources. In vitro model, human subjects, and co-detection by indexing staining were used to identify the pathophysiologic role of the hub genes in DKD. Among four distinct subsets of the proximal tubule (PT), lower percentages of proliferative PT and PT containing AQP4 expression (PT

Indexed as

Diabetes MellitusDiabetic NephropathiesAnimalsEndothelial CellsHumansKidneyKidney GlomerulusMiceTranscriptome

Identifiers

PMID37460555
PMCPMC10352247
OpenAlexW4384562093

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.