Evidence map›Paper›PMID 38576744›Full record

ArticleWorld journal of clinical cases2024

Exploring the autophagy-related pathogenesis of active ulcerative colitis.

Zhuo-Zhi Gong, Teng Li, He Yan, Min-Hao Xu, Yue Lian, Yi-Xuan Yang, Wei Wei, Tao Liu

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2024. 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
1.2field-weighted citation impact, top 22% 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

8 authors at 2 institutions in 1 country.

Zhuo-Zhi GongWangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China.
Teng LiWangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China.
He YanWangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China.
Min-Hao XuCollege of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Beijing 100102, China.
Yue LianWangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China.
Yi-Xuan YangGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
Wei WeiWangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China.
Tao LiuWangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China. ltlyf2@163.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNWangjing Hospital of China Academy of Chinese Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pathogenesis of ulcerative colitis (UC) is complex, and recent therapeutic advances remain unable to fully alleviate the condition.

aimTo inform the development of novel UC treatments, bioinformatics was used to explore the autophagy-related pathogenesis associated with the active phase of UC.

methodsThe GEO database was searched for UC-related datasets that included healthy controls who met the screening criteria. Differential analysis was conducted to obtain differentially expressed genes (DEGs). Autophagy-related targets were collected and intersected with the DEGs to identiy differentially expressed autophagy-related genes (DEARGs) associated with active UC. DEARGs were then subjected to KEGG, GO, and DisGeNET disease enrichment analyses using R software. Differential analysis of immune infiltrating cells was performed using the CiberSort algorithm. The least absolute shrinkage and selection operator algorithm and protein-protein interaction network were used to narrow down the DEARGs, and the top five targets in the Dgree ranking were designated as core targets.

resultsA total of 4822 DEGs were obtained, of which 58 were classified as DEARGs. SERPINA1, BAG3, HSPA5, CASP1, and CX3CL1 were identified as core targets. GO enrichment analysis revealed that DEARGs were primarily enriched in processes related to autophagy regulation and macroautophagy. KEGG enrichment analysis showed that DEARGs were predominantly associated with NOD-like receptor signaling and other signaling pathways. Disease enrichment analysis indicated that DEARGs were significantly linked to diseases such as malignant glioma and middle cerebral artery occlusion. Immune infiltration analysis demonstrated a higher presence of immune cells like activated memory CD4 T cells and follicular helper T cells in active UC patients than in healthy controls.

conclusionAutophagy is closely related to the active phase of UC and the potential targets obtained from the analysis in this study may provide new insight into the treatment of active UC patients.

Indexed as

AutophagyBioinformaticPathogenesisTargetsUlcerative colitis

Identifiers

PMID38576744
PMCPMC10989433
OpenAlexW4393153197

What OpenQuestion holds

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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.