Evidence map›Paper›PMID 36738432›Full record

ArticleScience China. Life sciences2023

Herbal small RNAs in patients with COVID-19 linked to reduced DEG expression.

Xiangyu Qiao, Fengming Huang, Xiaohu Shi, Xingyu Deng, Cong Zhang, Song Mei, Zhiqing Wang, Congzhao Zhou, Chengyu Jiang, Xinghua Tan

Open access · bronzeAbstract read
In one paragraph

Article in Science China. Life sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  5. A new look at herbal extracts.Science China. Life sciences · 2023
    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

10 authors at 3 institutions in 1 country.

Xiangyu Qiao *State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Biochemistry, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
Fengming Huang *State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Biochemistry, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
Xiaohu Shi *Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Xingyu DengState Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Biochemistry, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
Cong ZhangState Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Biochemistry, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
Song MeiState Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Biochemistry, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
Zhiqing WangState Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Biochemistry, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
Congzhao ZhouHefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science and Technology of China, Hefei, 230027, China.
Chengyu JiangState Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Biochemistry, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China. jiang@pumc.edu.cn.
Xinghua TanGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, China. gz8htxh@126.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNGuangzhou Medical University · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In China, more than 80% of patients with coronavirus disease 2019 (COVID-19) received traditional Chinese medicine (TCM) as a treatment and their clinical efficacy have been reported. However, the underlying molecular mechanism remains unclear. Previous studies have identified herbal small RNAs (sRNAs) as novel functional components. In this study, a cohort of 22 patients with COVID-19 treated with Toujie Quwen (TQ) granules was analyzed. We observed thousands of herbal small RNAs that entered the blood cells of patients after the consumption of TQ granules. In response to this treatment, the reduced differentially expressed genes (DEGs) were highly correlated with the predicted target genes of the most prevalent herbal sRNAs detected in the blood. Moreover, the predicted target genes of the top 30 sRNAs from each of the 245 TCMs in the Bencao sRNA Atlas overlapped with 337 upregulated DEGs in patients with mild COVID-19, and 33 TCMs, with more than 50% overlapping genes were identified as effective TCMs. These predicted target genes of top 30 sRNAs from Juhong, Gualoupi and Foshou were confirmed experimentally. Our results not only elucidated a novel molecular mechanism of TCM potential clinical efficacy for COVID-19 patients, but also provided 33 effective COVID-19 TCMs for prescription optimization.

Indexed as

COVID-19Drugs, Chinese HerbalHumansMedicine, Chinese TraditionalRNASARS-CoV-2Drugs, Chinese HerbalRNACOVID-19Toujie Quwen granulestraditional Chinese medicinetranscriptome

Identifiers

PMID36738432
PMCPMC9898691
OpenAlexW4319071958

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.