Evidence map›Paper›PMID 42488839›Full record

ArticleChinese herbal medicines2026

Multi-pathway targeting by natural products in chronic respiratory diseases: Opportunities, challenges, and future perspectives.

Siqi Lin, Lili Li, Shiqing Zhuo, Liang Yu, Yu Huang, Xiaofei Chen, Huihui Ti

Abstract read
In one paragraph

Article in Chinese herbal medicines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Biology · 2026
    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

7 authors.

Siqi LinSchool of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Lili LiShanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China.
Shiqing ZhuoSchool of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Liang YuSchool of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Yu HuangSchool of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Xiaofei ChenGuangdong Provincial Key Laboratory of Chemical Measurement and Emergency Test Technology, Institute of Analysis, Guangdong Academy of Sciences (China National Analytical Center), Guangzhou 510070, China.
Huihui TiSchool of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou 510006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic respiratory diseases (CRDs) are multifactorial disorders driven by dysregulated inflammation, oxidative stress, and tissue remodeling. Conventional single-target therapies are insufficient to halt disease progression, underscoring the demand for alternative therapeutic approaches. Natural products, including bioactive compounds, herbal extracts, and traditional Chinese medicine (TCM) formulas, are characterized by their inherent multi-target properties and represent a promising intervention strategy for CRDs. This perspective emphasizes natural products as network modulators that can simultaneously regulate multiple signaling pathways. The integration of systems biology, network pharmacology, and artificial intelligence (AI) is crucial for deciphering their polypharmacological mechanisms. The clinical translation of natural products is anticipated to benefit from the implementation of several key strategies, including multi-omics integration, AI, targeted delivery, and blockchain-based quality control. By shifting from a reductionist to a network-centric view, natural products can fulfill their potential as next-generation therapeutics for CRDs.

Indexed as

chronic respiratory diseasesclinical translationmulti-pathway targetingnatural productsnetwork modulationtraditional Chinese medicine

Identifiers

PMID42488839
PMCPMC13389992

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.