Evidence map›Paper›PMID 34731090›Full record

ArticleAging2021

New tale on LianHuaQingWen: IL6R/IL6/IL6ST complex is a potential target for COVID-19 treatment.

Zhao Tianyu, Cui Xiaoli, Wang Yaru, Zhang Min, Yue Fengli, He Kan, Chen Li, Li Jing

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. 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

8 authors at 2 institutions in 1 country.

Zhao TianyuDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province 130021, People's Republic of China.
Cui XiaoliDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province 130021, People's Republic of China.
Wang YaruDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province 130021, People's Republic of China.
Zhang MinDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province 130021, People's Republic of China.
Yue FengliDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province 130021, People's Republic of China.
He KanDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province 130021, People's Republic of China.
Chen LiDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province 130021, People's Republic of China.
Li JingDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province 130021, People's Republic of China.
Jilin University · CNJilin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

LianHuaQingWen (LHQW) improves clinical symptoms and alleviates the severity of COVID-19, but the mechanism is unclear. This study aimed to investigate the potential molecular targets and mechanisms of LHQW in treating COVID-19 using a network pharmacology-based approach and molecular docking analysis. The main active ingredients, therapeutic targets of LHQW, and the pathogenic targets of COVID-19 were screened using the TCMSP, UniProt, STRING, and GeneCards databases. According to the "Drug-Ingredients-Targets-Disease" network, Interleukin 6 (IL6) was identified as the core target, and quercetin, luteolin, and wogonin as the active ingredients of LHQW associated with IL6. The response to lipopolysaccharide was the most significant biological process identified by gene ontology enrichment analysis, and AGE-RAGE signaling pathway activation was prominent based on the interaction between LHQW and COVID-19. Protein-protein docking analysis showed that IL6 receptor (IL6R)/IL6/IL6 receptor subunit beta (IL6ST) and Spike protein were mainly bound via conventional hydrogen bonds. Furthermore, protein-small molecule docking showed that all three active ingredients could bind stably in the binding model of IL6R/IL6 and IL6ST. Our findings suggest that LHQW may inhibit the lipopolysaccharide-mediated inflammatory response and regulate the AGE-RAGE signaling pathway through IL6. In addition, the N-terminal domain of the S protein of COVID-19 has a good binding activity to IL6ST, and quercetin and wogonin in LHQW may affect IL6ST-mediated IL6 signal transduction and a large number of signaling pathways downstream to other cytokines by directly affecting protein-protein interaction. These findings suggest the potential molecular mechanism by which LHQW inhibits COVID-19 through the regulation of IL6R/IL6/IL6ST.

Indexed as

COVID-19COVID-19 Drug TreatmentSARS-CoV-2Antiviral AgentsCytokine Receptor gp130Drugs, Chinese HerbalFlavanonesGlycation End Products, AdvancedHumansInterleukin-6LuteolinMolecular Docking SimulationQuercetinReceptor for Advanced Glycation End ProductsReceptors, Interleukin-6Signal TransductionAntiviral AgentsCytokine Receptor gp130Drugs, Chinese HerbalFlavanonesGlycation End Products, AdvancedIL6 protein, humanIL6R protein, humanIL6ST protein, humanInterleukin-6lianhuaqingwenLuteolinQuercetinReceptor for Advanced Glycation End ProductsReceptors, Interleukin-6Spike Glycoprotein, Coronavirusspike protein, SARS-CoV-2wogoninAGE-RAGE signaling pathwayCOVID-19IL6R/IL6/IL6ST complexLianHuaQingWen (LHQW)quercetin

Identifiers

PMID34731090
PMCPMC8610116
OpenAlexW3210365414

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.