Evidence map›Paper›PMID 36386472›Full record

ReviewActa pharmaceutica Sinica. B2022

New opportunities and challenges of natural products research: When target identification meets single-cell multiomics.

Yuyu Zhu, Zijun Ouyang, Haojie Du, Meijing Wang, Jiaojiao Wang, Haiyan Sun, Lingdong Kong, Qiang Xu, Hongyue Ma, Yang Sun

Abstract readReview
In one paragraph

Review in Acta pharmaceutica Sinica. B, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 162 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
162citing papers in PubMed, 2 pooled it
–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

162 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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102 more citing papers are in PubMed but not listed here.

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.

Yuyu ZhuCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Zijun OuyangInstitute of Marine Biomedicine, School of Food and Drug, Shenzhen Polytechnic, Shenzhen 518055, China.
Haojie DuState Key Laboratory of Pharmaceutical Biotechnology, School of Life Science, Nanjing University, Nanjing 210023, China.
Meijing WangState Key Laboratory of Pharmaceutical Biotechnology, School of Life Science, Nanjing University, Nanjing 210023, China.
Jiaojiao WangCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Haiyan SunInstitute of Marine Biomedicine, School of Food and Drug, Shenzhen Polytechnic, Shenzhen 518055, China.
Lingdong KongState Key Laboratory of Pharmaceutical Biotechnology, School of Life Science, Nanjing University, Nanjing 210023, China.
Qiang XuState Key Laboratory of Pharmaceutical Biotechnology, School of Life Science, Nanjing University, Nanjing 210023, China.
Hongyue MaCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Yang SunState Key Laboratory of Pharmaceutical Biotechnology, School of Life Science, Nanjing University, Nanjing 210023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural products, and especially the active ingredients found in traditional Chinese medicine (TCM), have a thousand-year-long history of clinical use and a strong theoretical basis in TCM. As such, traditional remedies provide shortcuts for the development of original new drugs in China, and increasing numbers of natural products are showing great therapeutic potential in various diseases. This paper reviews the molecular mechanisms of action of natural products from different sources used in the treatment of inflammatory diseases and cancer, introduces the methods and newly emerging technologies used to identify and validate the targets of natural active ingredients, enumerates the expansive list of TCM used to treat inflammatory diseases and cancer, and summarizes the patterns of action of emerging technologies such as single-cell multiomics, network pharmacology, and artificial intelligence in the pharmacological studies of natural products to provide insights for the development of innovative natural product-based drugs. Our hope is that we can make use of advances in target identification and single-cell multiomics to obtain a deeper understanding of actions of mechanisms of natural products that will allow innovation and revitalization of TCM and its swift industrialization and internationalization.

Indexed as

BiosynthesisCancerInflammatory diseasesMolecular mechanismNatural productsSingle-cell multiomicsTarget identificationTraditional Chinese medicine

Identifiers

PMID36386472
PMCPMC9643300

What OpenQuestion 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 OpenQuestion graph.