Evidence map›Paper›PMID 40860948›Full record

ArticleJournal of inflammation research2025

Jianpi Lishi Jiedu Decoction (JLJD) Inhibit Th17 Cell Differentiation via the Jak/Stat3/RORγt Pathway in Colorectal Adenomas.

Min Si, Yan Wang, Hao Wu, Yuzhen Huang, Mengqing Ma, Kunhan Su, Dan Qiao, Weiwei Tao, Wanli Liu

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Min Si *Department of Gastroenterology, Nanjing First Hospital, Nanjing University of Chinese Medicine, Nanjing, 210014, People's Republic of China.
Yan Wang *Nanjing University of Chinese Medicine, Nanjing, 210023, People's Republic of China.
Hao WuDepartment of Gastroenterology, Nanjing Integrated Traditional Chinese and Western Medicine Hospital, Nanjing University of Chinese Medicine, Nanjing, 210014, People's Republic of China.
Yuzhen HuangDepartment of Gastroenterology, Nanjing First Hospital, Nanjing University of Chinese Medicine, Nanjing, 210014, People's Republic of China.
Mengqing MaDepartment of Gastroenterology, Nanjing First Hospital, Nanjing University of Chinese Medicine, Nanjing, 210014, People's Republic of China.
Kunhan SuDepartment of Gastroenterology, Nanjing Integrated Traditional Chinese and Western Medicine Hospital, Nanjing University of Chinese Medicine, Nanjing, 210014, People's Republic of China.
Dan QiaoNanjing University of Chinese Medicine, Nanjing, 210023, People's Republic of China.
Weiwei TaoNanjing University of Chinese Medicine, Nanjing, 210023, People's Republic of China.
Wanli LiuDepartment of Gastroenterology, Nanjing First Hospital, Nanjing University of Chinese Medicine, Nanjing, 210014, People's Republic of China.ORCID 0000-0002-0797-5447

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Jianpi Lishi Jiedu Decoction (JLJD) are used in China to prevent colorectal adenoma recurrence, but their molecular mechanism is unclear. Objective: Evaluate JLJD's preventive and therapeutic effects on colorectal adenomas and elucidate its molecular mechanisms. Methods: JLJD components were identified via HPLC. The Results: JLJD significantly reduced adenoma number and progression in Conclusion: JLJD inhibits the differentiation of Th17 cells by suppressing the Jak2/Stat3/RORγ pathway, thereby exerting an inhibitory effect on colorectal adenomas.

Indexed as

ApcMin/+ mouse modelcolorectal adenomasJak2/Stat3/RORγt pathwayJianpi Lishi Jiedu decoctionTh17 cell differentiation

Identifiers

PMID40860948
PMCPMC12377380

What Socratic holds

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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 Socratic graph.