Evidence map›Paper›PMID 39380234›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2024

Association of miR-499 rs3746444, miR-149 rs2292832 polymorphisms and their expression levels with helicobacter pylori-related gastric diseases and Traditional Chinese Medicine syndromes.

Liu Qi, Y U Chang, Y E Jintong, Zhang Ling, L I Danyan, Dai Yunkai, Zhang Yunzhan, Luo Qi, Chen Weijing, Pan Huaigeng and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Liu QiInstitute of Gastroenterology, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
Y U ChangInstitute of Gastroenterology, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
Y E JintongInstitute of Gastroenterology, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
Zhang LingInstitute of Gastroenterology, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
L I DanyanInstitute of Gastroenterology, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
Dai YunkaiInstitute of Gastroenterology, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
Zhang YunzhanInstitute of Gastroenterology, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
Luo QiFirst Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
Chen WeijingInstitute of Gastroenterology, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
Pan HuaigengInstitute of Gastroenterology, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
L I RuliuInstitute of Gastroenterology, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
H U LingInstitute of Gastroenterology, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510000, China.

Funding

Exploration of the Traditional Chinese Medicine Syndrome Characteristics During Benign and Malignant Pathological Evolution in Hp-Related Gastric Diseases based on the Theory of "Latent Toxin" and the Polymorphism and Expression of Mucosal Barrier Related Genes 82174298Exploration of the Traditional Chinese Medicine Syndrome Characteristics During Benign and Malignant Pathological Evolution in Hp-Related Gastric Diseases from Wnt/β-catenin Signaling Pathway based on the Theory of "Evil Poison Lead to Change" 81774238
6 · The paper itself

Abstract

objectiveTo provide an objective experimental basis for the gastric mucosa pathological evolution and the transformation of different Traditional Chinese Medicine (TCM) syndromes in helicobacter pylori (H. pylori)-related gastric diseases (HPGD) patients, based on the combination of TCM syndrome differentiation, molecular biology and histopathology.

methodsA total of 203 participants were enrolled in this study. The expressions of miR-499/miR-149 and H. pylori infection in the gastric tissues from all participants were detected. The genotyping for miR-499 rs3746444 and miR-149 rs2292832 was performed.

resultsIn H. pylori positive subjects, the proportion of precancerous gastric lesions (PGL) in liver-stomach disharmony syndrome (LSDS) group was higher than in spleen Qi deficiency syndrome (SQDS) group (

conclusionThe C allele of miR-149 rs2292832 may be a protective factor for gastric mucosal atrophy. H. pylori may participate in the evolution of benign to malignant gastric mucosa lesions by inducing the overexpression of miR-499 and down regulation of miR-149. In addition, patients with H. pylori infection combined SQDS or LSDS may have higher risk of gastric mucosal malignant lesions.

Indexed as

Helicobacter InfectionsHelicobacter pyloriMedicine, Chinese TraditionalMicroRNAsStomach DiseasesAdultAgedFemaleGastric MucosaHumansMaleMiddle AgedPolymorphism, Single NucleotideStomach NeoplasmsMicroRNAsMIRN149 microRNA, humanMIRN499 microRNA, humanhelicobacter pylorimicroRNAspolymorphism, geneticstomach diseasessyndrome complex

Identifiers

PMID39380234
PMCPMC11462536

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.