Evidence map›Paper›PMID 34485320›Full record

ReviewFrontiers in medicine2021

Single Cell Transcriptome Helps Better Understanding Crosstalk in Diabetic Kidney Disease.

Chunyang Du, Yunzhuo Ren, Guixin Li, Yan Yang, Zhe Yan, Fang Yao

Open access · goldAbstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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 1 institution in 1 country.

Chunyang DuKey Laboratory of Kidney Diseases of Hebei Province, Department of Pathology, Hebei Medical University, Shijiazhuang, China.
Yunzhuo RenKey Laboratory of Kidney Diseases of Hebei Province, Department of Pathology, Hebei Medical University, Shijiazhuang, China.
Guixin LiDepartment of Burn, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Yan YangKey Laboratory of Kidney Diseases of Hebei Province, Department of Pathology, Hebei Medical University, Shijiazhuang, China.
Zhe YanDepartment of Nephrology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Fang YaoKey Laboratory of Kidney Diseases of Hebei Province, Department of Pathology, Hebei Medical University, Shijiazhuang, China.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Years of research revealed that crosstalk extensively existed among kidney cells, cell factors and metabolites and played an important role in the development of diabetic kidney disease (DKD). In the last few years, single-cell RNA sequencing (scRNA-seq) technology provided new insight into cellular heterogeneity and genetic susceptibility regarding DKD at cell-specific level. The studies based on scRNA-seq enable a much deeper understanding of cell-specific processes such as interaction between cells. In this paper, we aim to review recent progress in single cell transcriptomic analyses of DKD, particularly highlighting on intra- or extra-glomerular cell crosstalk, cellular targets and potential therapeutic strategies for DKD.

Indexed as

crosstalkdiabetic kidney diseaseglomerulussingle-cell RNA sequencingtubular epithelial cell

Identifiers

PMID34485320
PMCPMC8415842
OpenAlexW3195111248

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.