Evidence map›Paper›PMID 36682023›Full record

ArticleJournal of Crohn's & colitis2023

A Compendium of Mucosal Molecular Characteristics Provides Novel Perspectives on the Treatment of Ulcerative Colitis.

Min-Jing Chang, Jia-Wei Hao, Jun Qiao, Miao-Ran Chen, Qian Wang, Qi Wang, Sheng-Xiao Zhang, Qi Yu, Pei-Feng He

Open access · hybridAbstract read
In one paragraph

Article in Journal of Crohn's & colitis, 2023. 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
0.9field-weighted citation impact, top 21% 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.

  1. Review
  2. Article
  3. Review
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.

Min-Jing ChangShanxi Key Laboratory of Big Data for Clinical Decision, Shanxi Medical University, Taiyuan, China.ORCID 0000-0001-8875-9254
Jia-Wei HaoMinistry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China.
Jun QiaoMinistry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China.ORCID 0000-0001-7038-4538
Miao-Ran ChenMinistry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China.
Qian WangMinistry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China.
Qi WangShanxi Key Laboratory of Big Data for Clinical Decision, Shanxi Medical University, Taiyuan, China.
Sheng-Xiao ZhangMinistry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China.
Qi YuSchool of Management, Shanxi Medical University, Taiyuan, China.
Pei-Feng HeShanxi Key Laboratory of Big Data for Clinical Decision, Shanxi Medical University, Taiyuan, China.
Shanxi Medical University · CN

Funding

Key R&D Project of Shanxi Province 202102130501003National Social Science Fund of China 21BTQ050
6 · The paper itself

Abstract

BACKGROUND AND

aimsUlcerative colitis [UC] is a complex heterogeneous disease. This study aims to reveal the underlying molecular features of UC using genome-scale transcriptomes of patients with UC, and to develop and validate a novel stratification scheme.

methodsA normalised compendium was created using colon tissue samples (455 patients with UC and 147 healthy controls [HCs]), covering genes from 10 microarray datasets. Upregulated differentially expressed genes [DEGs] were subjected to functional network analysis, wherein samples were grouped using unsupervised clustering. Additionally, the robustness of subclustering was further assessed by two RNA sequencing datasets [100 patients with UC and 16 HCs]. Finally, the Xgboost classifier was applied to the independent datasets to evaluate the efficacy of different biologics in patients with UC.

resultsBased on 267 upregulated DEGs of the transcript profiles, UC patients were classified into three subtypes [subtypes A-C] with distinct molecular and cellular signatures. Epithelial activation-related pathways were significantly enriched in subtype A [named epithelial proliferation], whereas subtype C was characterised as the immune activation subtype with prominent immune cells and proinflammatory signatures. Subtype B [named mixed] was modestly activated in all the signalling pathways. Notably, subtype A showed a stronger association with the superior response of biologics such as golimumab, infliximab, vedolizumab, and ustekinumab compared with subtype C.

conclusionsWe conducted a deep stratification of mucosal tissue using the most comprehensive microarray and RNA sequencing data, providing critical insights into pathophysiological features of UC, which could serve as a template for stratified treatment approaches.

Indexed as

Biological ProductsColitis, UlcerativeHumansInfliximabMucous MembraneTranscriptomeBiological ProductsInfliximabMachine learningulcerative colitisunsupervised clustering

Identifiers

PMID36682023
PMCPMC10274304
OpenAlexW4317708649

What OpenQuestion holds

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LicenceCC BY-NC
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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.