Evidence map›Paper›PMID 31700894›Full record

ArticleAnnals of translational medicine2019

Transcriptional dissection of differentially expressed long non-coding RNAs and messenger RNAs reveals the potential molecular mechanism after kidney transplantation.

Hengcheng Zhang, Guodong Shi, Qingqiao Hu, Henglu Zhang, Ming Zheng, Kuirong Jiang, Min Gu

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 3 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

7 authors at 3 institutions in 1 country.

Hengcheng ZhangDepartment of Urology, Jiangsu Provincial Hospital, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Guodong ShiPancreas Center, Department of General Surgery, Jiangsu Provincial Hospital, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Qingqiao HuDepartment of Nuclear Medicine, Jiangsu Provincial Hospital, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Henglu ZhangDepartment of Endocrinology and Metabolism, Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian 223001, China.
Ming ZhengDepartment of Urology, Jiangsu Provincial Hospital, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Kuirong JiangPancreas Center, Department of General Surgery, Jiangsu Provincial Hospital, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Min GuDepartment of Urology, Jiangsu Provincial Hospital, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Nanjing Medical University · CNHuaian First People’s Hospital · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKidney transplantation has given benefits to patients, although the associated genetic mechanisms are unclear. The present study aimed to understand the changes in gene expression and genetic pathways after kidney transplantation with the administration of immunosuppressive drugs.

methodsThe transcriptome data of blood samples from kidney transplantation recipients, obtained by RNA-seq, were reannotated to a more complete human genome (GRCh38/hg38). We compared the differentially expressed genes (DEGs) at pretransplant and 1 week, 3 months and 6 months posttransplant; researched the temporal variation of the DEGs; and constructed a long non-coding RNA (lncRNA)-messenger RNA (mRNA) network.

resultsWe found that compared to that at pretransplantation, 1,766 genes and 3,530 genes were upregulated and downregulated, respectively, at 1 week after kidney transplantation, and the number of DEGs declined over time. These DEGs were separated into 16 clusters, and the temporal variation expression was established by the average expression of the DEGs. A pathway analysis suggested that the immune reaction was attenuated and that the expression of ribosome-related proteins was reduced.

conclusionsThe lncRNA-mRNA network had 235 connections between 138 lncRNAs and 170 mRNAs. This work generated a gene profile based on temporal variation and revealed a significantly altered lncRNA-mRNA axis contributing to molecular regulation, suggesting the potential gene mechanism of kidney transplantation and the effects of immunosuppressive drugs.

Indexed as

differentially expressed genes (DEGs)Kidney transplantationlong non-coding RNAs (lncRNAs)messenger RNAs (mRNAs)networkRNA-seq

Identifiers

PMID31700894
PMCPMC6803192
OpenAlexW2971724637

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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.