Evidence map›Paper›PMID 37831113›Full record

ReviewNaunyn-Schmiedeberg's archives of pharmacology2024

Functions and targets of miRNAs in pharmacological and toxicological effects of major components of Tripterygium wilfordii Hook F.

Wei Pan, Bo Yang, Dongxiu He, Linxi Chen, Chengxiao Fu

Abstract readReview
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In one paragraph

Review in Naunyn-Schmiedeberg's archives of pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wei PanInstitute of Pharmacy and Pharmacology, College of Basic Medical Science, Hengyang Medical School, University of South China, Hengyang, 421200, Hunan, People's Republic of China.
Bo YangThe First Affiliated Hospital, Department of Pharmacy, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, People's Republic of China.
Dongxiu HeInstitute of Pharmacy and Pharmacology, College of Basic Medical Science, Hengyang Medical School, University of South China, Hengyang, 421200, Hunan, People's Republic of China.
Linxi ChenInstitute of Pharmacy and Pharmacology, College of Basic Medical Science, Hengyang Medical School, University of South China, Hengyang, 421200, Hunan, People's Republic of China.
Chengxiao FuInstitute of Pharmacy and Pharmacology, College of Basic Medical Science, Hengyang Medical School, University of South China, Hengyang, 421200, Hunan, People's Republic of China. paulfcx@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tripterygium wilfordii Hook F (TwHF) has a long history of use as a traditional Chinese medicine and has been widely administered to treat various inflammatory and autoimmune diseases. MicroRNAs (miRNAs) are endogenous, short, non-coding RNAs that regulate gene expression post-transcriptionally. They participate in the efficacies and even toxicities of the components of TwHF, rendering miRNAs an appealing therapeutic strategy. This review summarizes the recent literature related to the roles and mechanisms of miRNAs in the pharmacological and toxicological effects of main components of TwHF, focusing on two active compounds, triptolide (TP) and celastrol (CEL). Additionally, the prospects for the "You Gu Wu Yun" theory regarding TwHF nephrotoxicity are presented.

Indexed as

Drugs, Chinese HerbalMicroRNAsMedicine, Chinese TraditionalTripterygiumDrugs, Chinese HerbalMicroRNAsCelastrolMicroRNAPharmacological effectToxicological effectTriptolide

Identifiers

What OpenQuestion holds

Textmetadata
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.