TY - JOUR
T1 - A systematic review of metabolomics studies on metabolite profiling and phytogeographical discrimination of propolis
AU - Pratami, Diah Kartika
AU - Mun'im, Abdul
AU - Sahlan, Muhamad
AU - Kumazawa, Shigenori
AU - Jantan, Ibrahim
AU - Rahmawati, Siti Irma
AU - Putra, Masteria Yunovilsa
AU - Bayu, Asep
N1 - Publisher Copyright:
© 2024
PY - 2024/12
Y1 - 2024/12
N2 - Propolis, a functional food ingredient, has diverse constituents that give it pharmacological properties. This systematic review aimed to provide a summary of propolis metabolomics studies throughout the past decade. Covidence systematic review platform was used to summarize propolis metabolomics papers from 2014 to 2024 in Scopus, PubMed, and Web of Science. Thirty-three articles were conducted in vitro and in vivo, providing information on metabolite profiling (molecular markers and metabolic pathway information) and its phytogeographical discrimination (botanical origin and regional discrimination). Advanced data analysis, multivariate statistical analysis, bioinformatics tools, and machine learning were used in addition to chromatographic, spectroscopic, and spectrometric procedures. Propolis composition can be affected by plant sources, bee species, and location. This review examined the limitations of propolis metabolomic studies and recommended ways to improve their quality and applicability. It provides information on propolis in the metabolic pathways of various diseases and its metabolites as functional food ingredients.
AB - Propolis, a functional food ingredient, has diverse constituents that give it pharmacological properties. This systematic review aimed to provide a summary of propolis metabolomics studies throughout the past decade. Covidence systematic review platform was used to summarize propolis metabolomics papers from 2014 to 2024 in Scopus, PubMed, and Web of Science. Thirty-three articles were conducted in vitro and in vivo, providing information on metabolite profiling (molecular markers and metabolic pathway information) and its phytogeographical discrimination (botanical origin and regional discrimination). Advanced data analysis, multivariate statistical analysis, bioinformatics tools, and machine learning were used in addition to chromatographic, spectroscopic, and spectrometric procedures. Propolis composition can be affected by plant sources, bee species, and location. This review examined the limitations of propolis metabolomic studies and recommended ways to improve their quality and applicability. It provides information on propolis in the metabolic pathways of various diseases and its metabolites as functional food ingredients.
KW - Functional foods
KW - Metabolic pathway
KW - Metabolite profiling
KW - Metabolomics studies
KW - Phytogeographical origin
KW - Propolis
UR - http://www.scopus.com/inward/record.url?scp=85211058133&partnerID=8YFLogxK
U2 - 10.1016/j.jff.2024.106602
DO - 10.1016/j.jff.2024.106602
M3 - Review article
AN - SCOPUS:85211058133
SN - 1756-4646
VL - 123
JO - Journal of Functional Foods
JF - Journal of Functional Foods
M1 - 106602
ER -