MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1016/j.phymed.2025.157626

Медицинская библиотека · Phytomedicine : international journal of phytotherapy and phytopharmacology · 2025

Bioactivity-guided isolation of anti-inflammatory compounds from the herbs constituting a traditional Chinese medicine formulation used for the treatment of rheumatoid arthritis.

Welzel Janika, Robertson Luke P, Brieskorn Louisa, Chaitoglou Iro, Boddul Sanjay, Chuquimia Olga D, Shang Mingmei, Guo Jing, Zhang Mingshu, Mei Liyan, Berg Louise, Idborg Helena, Wermeling Fredrik, Wen Zehuai, Korotkova Marina, Huang Runyue, Göransson Ulf, Jakobsson Per-Johan

СтатьяПеревод в очереди

Аннотация

BACKGROUND

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease that poses a significant socio-economic burden. Traditional Chinese medicine (TCM) herbal formulations, with their long history of clinical use, represent a promising source for novel anti-rheumatic drugs. However, the complexity of RA pathogenesis and the chemical diversity of TCM formulations present challenges in understanding compound-target interactions.

PURPOSE: This study aimed to identify the anti-inflammatory constituents from the individual plant species included in the clinically used TCM formulation ("Formulation A"), and to characterize their effects on key inflammatory pathways. Formulation A is currently undergoing a double-blind, randomized clinical trial. A key innovation of this work is the integration of a phenotypic screening strategy, bridging the gap between typical single-species natural product studies and formulation-level decoction studies.

METHODS

A custom panel of phenotypic in vitro assays reflecting key inflammatory pathways relevant to RA (NF-ĸB, NFAT, STAT3, and STAT5) was developed. A suite of plant extracts and fractions was generated, then screened in the above assays. Effects on cytokine production in primary human B cells (IL-6, TNF-α, and GM-CSF) and prostaglandin production (PGD2, PGE2, PGF2α and TxB2) in a fibroblast cell line were also evaluated.

RESULTS

Plant species within Formulation A displayed a spectrum of biological activities, from minor to broad and more targeted effects. The strongest anti-inflammatory activities were observed in nonpolar extracts and fractions, reflecting the utility of organic solvent extraction for accessing pharmacologically potent constituents that may be underrepresented in traditional water-based decoctions. Two new compounds from Atractylodes lancea were identified, alongside 37 known compounds from other species exhibiting both new and previously known anti-inflammatory activities. These findings also highlight specific molecular effects of the formulation's components on inflammatory signaling pathways and mediators.

CONCLUSION

This study provides mechanistic insights into the anti-inflammatory effects of plant constituents present in Formulation A, based on the systematic analysis of each individual plant species. Moreover, it establishes a robust phenotypic screening platform for the systematic discovery of new anti-rheumatic agents from natural sources.

Для цитирования: Welzel Janika, Robertson Luke P, Brieskorn Louisa, Chaitoglou Iro, Boddul Sanjay, Chuquimia Olga D, Shang Mingmei, Guo Jing, Zhang Mingshu, Mei Liyan, Berg Louise, Idborg Helena, Wermeling Fredrik, Wen Zehuai, Korotkova Marina, Huang Runyue, Göransson Ulf, Jakobsson Per-Johan. Bioactivity-guided isolation of anti-inflammatory compounds from the herbs constituting a traditional Chinese medicine formulation used for the treatment of rheumatoid arthritis.. Phytomedicine : international journal of phytotherapy and phytopharmacology. 2025. DOI: 10.1016/j.phymed.2025.157626.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.