Three-tiered authentication of herbal traditional Chinese medicine ingredients used in women's health provides progressive qualitative and quantitative insight

Front Pharmacol. 2024 Feb 5:15:1353434. doi: 10.3389/fphar.2024.1353434. eCollection 2024.

Abstract

Traditional Chinese Medicine (TCM) herbal products are increasingly used in Europe, but prevalent authentication methods have significant gaps in detection. In this study, three authentication methods were tested in a tiered approach to improve accuracy on a collection of 51 TCM plant ingredients obtained on the European market. We show the relative performance of conventional barcoding, metabarcoding and standardized chromatographic profiling for TCM ingredients used in one of the most diagnosed disease patterns in women, endometriosis. DNA barcoding using marker ITS2 and chromatographic profiling are methods of choice reported by regulatory authorities and relevant national pharmacopeias. HPTLC was shown to be a valuable authentication tool, combined with metabarcoding, which gives an increased resolution on species diversity, despite dealing with highly processed herbal ingredients. Conventional DNA barcoding as a recommended method was shown to be an insufficient tool for authentication of these samples, while DNA metabarcoding yields an insight into biological contaminants. We conclude that a tiered identification strategy can provide progressive qualitative and quantitative insight in an integrative approach for quality control of processed herbal ingredients.

Keywords: DNA barcoding; Traditional Chinese Medicine; chemical fingerprinting; endometriosis; pharmacovigilance; women’s healthcare.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by H2020-MSCA-ITN-ETN Plant. ID: Molecular Identification of Plants, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 765000.