Evidence map›Paper›PMID 41289163›Full record

ArticleChemistry & biodiversity2026

Exploring the Active Substances and Mechanism of Physalis Calyx seu Fructus Against Inflammation-related Respiratory Diseases via Integrating Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry, Network Pharmacological Analysis, and Experimental Verification.

Hui Meng, Lin-Tao Xu, Ping-Ping Li, Dong-Xiao Guo, Guo-Hui Li, Hao-Ran Gu, Xiao-Ning Wang, Yong-Qiang Lin, Zhen-Peng Xu, Tao Shen

Abstract read
In one paragraph

Article in Chemistry & biodiversity, 2026. 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

10 authors.

Hui MengState Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Shandong University, Jinan, P. R. China.
Lin-Tao XuState Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Shandong University, Jinan, P. R. China.
Ping-Ping LiState Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Shandong University, Jinan, P. R. China.
Dong-Xiao GuoShandong Institute for Food and Drug Control, Jinan, P. R. China.
Guo-Hui LiDepartment of Pharmacy, Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, P. R. China.
Hao-Ran GuState Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Shandong University, Jinan, P. R. China.
Xiao-Ning WangState Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Shandong University, Jinan, P. R. China.
Yong-Qiang LinShandong Institute for Food and Drug Control, Jinan, P. R. China.
Zhen-Peng XuState Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Shandong University, Jinan, P. R. China.
Tao ShenState Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Shandong University, Jinan, P. R. China.ORCID https://orcid.org/0000-0002-5474-2646

Funding

Chinese medicine in National Administration of Traditional Chinese Medicine ZYYZDXK-2023296Key R&D Program of Shandong Province 2025CXGC010617Major Scientific and Technological Innovation Projects of Shandong Key R & D Plan 2021CXGC010511National Natural Science Foundation of China 22307065National Natural Science Foundation of China 82274065National Natural Science Foundation of China 82304691Shandong Provincial Natural Science Foundation ZR2023LZY003
6 · The paper itself

Abstract

Physalis Calyx seu Fructus (PCF) is frequently prescribed for treating inflammation-related respiratory diseases in traditional Chinese medicine. The aim of the study is to identify the active partitions of PCF against inflammation-related respiratory diseases and explore their therapeutic effects and mechanisms. In the present study, two active partitions, 50-EFP-2 and 70-EFP, were obtained through anti-inflammatory bioactivity-guided enrichment of macroporous resin. These two partitions at 10 mg/kg potently alleviated lipopolysaccharide (LPS)-stimulated acute lung inflammation (ALI) and ovalbumin (OVA)-induced asthma in mice. Phytochemical investigation was performed using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) and high-performance LC (HPLC), and indicated that withanolides are the predominant constituents of these two partitions. Moreover, their potential targets were predicted by network pharmacological analysis, which showed that withanolides in PCF mainly attenuated ALI and asthma by regulating nuclear factor-κB (NF-κB) to inhibit inflammatory response. 50-EFP-2 and 70-EFP inhibited inflammation and oxidative stress by regulating NF-κB and nuclear factor erythroid 2-related factor 2 (Nrf2), both in vivo and in vitro. Collectively, two partitions rich in withanolides were discovered from PCF, which potently alleviated ALI and asthma by regulating Nrf2 and NF-κB pathways. These findings provide the foundation for discovering withanolide-type leading compounds and developing novel therapeutics against inflammation-related respiratory diseases.

Indexed as

Anti-Inflammatory AgentsAsthmaDrugs, Chinese HerbalInflammationPhysalisAnimalsChromatography, High Pressure LiquidFruitLipopolysaccharidesMaleMiceMice, Inbred BALB CNetwork PharmacologyNF-kappa BOvalbuminTandem Mass SpectrometryAnti-Inflammatory AgentsDrugs, Chinese HerbalLipopolysaccharidesNF-kappa BOvalbuminWithanolidesinflammationNF‐κBNrf2Physalis Calyx seu Fructuswithanolide

Identifiers

PMID41289163
PMCPMC13421874

What OpenQuestion holds

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Registered trials

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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.