Evidence map›Paper›PMID 31463037›Full record

ArticleBone & joint research2019

Whole-transcriptome sequencing of knee joint cartilage from osteoarthritis patients.

H Li, H H Yang, Z G Sun, H B Tang, J K Min

Open access · goldAbstract read
In one paragraph

Article in Bone & joint research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 4% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. MicroRNA expression in osteoarthritis: a meta-analysis.Clinical and experimental medicine · 2023
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  19. Cartilage Homeostasis and Osteoarthritis.International journal of molecular sciences · 2022
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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

5 authors at 2 institutions in 1 country.

H LiDepartment of Orthopaedics, The First People's Hospital of Huzhou, The First Affiliated Hospital of Huzhou Teachers College, Huzhou, China.
H H YangDepartment of Orthopaedics, The First People's Hospital of Huzhou, The First Affiliated Hospital of Huzhou Teachers College, Huzhou, China.
Z G SunDepartment of Orthopaedics, The First People's Hospital of Huzhou, The First Affiliated Hospital of Huzhou Teachers College, Huzhou, China.
H B TangDepartment of Orthopaedics, The First People's Hospital of Huzhou, The First Affiliated Hospital of Huzhou Teachers College, Huzhou, China.
J K MinDepartment of Orthopaedics, The First People's Hospital of Huzhou, The First Affiliated Hospital of Huzhou Teachers College, Huzhou, China.
Third People's Hospital of Huzhou · CNHuzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to provide a comprehensive understanding of alterations in messenger RNAs (mRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs) in cartilage affected by osteoarthritis (OA).

methodsThe expression profiles of mRNAs, lncRNAs, and circRNAs in OA cartilage were assessed using whole-transcriptome sequencing. Bioinformatics analyses included prediction and reannotation of novel lncRNAs and circRNAs, their classification, and their placement into subgroups. Gene ontology and pathway analysis were performed to identify differentially expressed genes (DEGs), differentially expressed lncRNAs (DELs), and differentially expressed circRNAs (DECs). We focused on the overlap of DEGs and targets of DELs previously identified in seven high-throughput studies. The top ten DELs were verified by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) in articular chondrocytes, both

resultsIn total, 739 mRNAs, 1152 lncRNAs, and 42 circRNAs were found to be differentially expressed in OA cartilage tissue. Among these, we identified 18 overlapping DEGs and targets of DELs, and the top ten DELs were screened by expression profile analysis as candidate OA-related genes.

conclusionThis study revealed expression patterns of coding and noncoding RNAs in OA cartilage, which added sets of genes and noncoding RNAs to the list of candidate diagnostic biomarkers and therapeutic agents for OA patients.

Indexed as

Articular cartilageCartilageNoncoding RNAsOsteoarthritisRNA-SeqWhole-transcriptome sequencing

Identifiers

PMID31463037
PMCPMC6691371
OpenAlexW2962430279

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.