Contribution of proteomics and metabolomics data to understanding of health benefits of tea

Tea is the second most widely consumed non-alcoholic beverage globally. While most teas originate from <i>Camellia sinensis</i> (L.) Kuntze plants, rooibos and honeybush teas are produced from <i>Aspalathus linearis</i> (Burm.f.) R.Dahlgren and <i>Cyclopia</i> species tea plants. Interest in tea and tea-derived components, has increased due to their well-known health benefits. The mechanisms of these health benefits are however poorly understood. Proteomics and metabolomics provide valuable tools to assess the mechanisms of the therapeutic effects of tea in disease treatment. This review summarizes the role played by proteomic and metabolomic studies in investigating the health benefits of <i>C. sinensis</i>, <i>A. linearis,</i> and <i>Cyclopia</i> spp<i>.</i> teas. Surprisingly, no proteomic and metabolomic studies investigating the health benefits of <i>A. linearis</i> and <i>Cyclopia</i> spp<i>.</i> teas and/or their components were identified in a literature search. However, 25 studies using proteomics and 16 studies using metabolomics to investigate the health benefits of <i>C. sinensis</i> teas and/or their components were identified in a literature search. Proteomics and metabolomics have been valuable tools for investigating the health benefits of <i>C. sinensis</i> teas and tea components, and will likely also prove valuable for investigating the effects of <i>A. linearis</i> and <i>Cyclopia</i> spp. teas on human health.

Authors

Institutions

Publication Details

Journal
Chinese Herbal Medicines
Published
2025-11-20
DOI
https://doi.org/10.1016/j.chmed.2025.11.009
Primary Topic
Tea Polyphenols and Effects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Contribution of proteomics and metabolomics data to understanding of health benefits of tea

Mariska Lilly, Mariam Rado, Danicke Willemse
Chinese Herbal Medicines
Tea Polyphenols and Effects
article

Contribution of proteomics and metabolomics data to understanding of health benefits of tea

Mariska Lilly, Mariam Rado, Danicke Willemse
article en

Abstract

Tea is the second most widely consumed non-alcoholic beverage globally. While most teas originate from <i>Camellia sinensis</i> (L.) Kuntze plants, rooibos and honeybush teas are produced from <i>Aspalathus linearis</i> (Burm.f.) R.Dahlgren and <i>Cyclopia</i> species tea plants. Interest in tea and tea-derived components, has increased due to their well-known health benefits. The mechanisms of these health benefits are however poorly understood. Proteomics and metabolomics provide valuable tools to assess the mechanisms of the therapeutic effects of tea in disease treatment. This review summarizes the role played by proteomic and metabolomic studies in investigating the health benefits of <i>C. sinensis</i>, <i>A. linearis,</i> and <i>Cyclopia</i> spp<i>.</i> teas. Surprisingly, no proteomic and metabolomic studies investigating the health benefits of <i>A. linearis</i> and <i>Cyclopia</i> spp<i>.</i> teas and/or their components were identified in a literature search. However, 25 studies using proteomics and 16 studies using metabolomics to investigate the health benefits of <i>C. sinensis</i> teas and/or their components were identified in a literature search. Proteomics and metabolomics have been valuable tools for investigating the health benefits of <i>C. sinensis</i> teas and tea components, and will likely also prove valuable for investigating the effects of <i>A. linearis</i> and <i>Cyclopia</i> spp. teas on human health.

Chinese Herbal MedicinesVol. 18(1)
Cape Peninsula University of Technology (ZA)
Openalex Percentile: Top 51%
Tea Polyphenols and Effects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.