@booklet {228733,
	title = {Integrating Microbiome Analysis, Metabolomics, Bioinformatics, and Histopathology to Elucidate the Protective Effects of Pomegranate Juice against Benzo-alpha-pyrene-Induced Colon Pathologies},
	journal = {International Journal of Molecular Sciences},
	volume = {24},
	year = {2023},
	note = {n/a},
	month = {2023},
	abstract = {<p>Polycyclic aromatic hydrocarbons, e.g., benzo[a]pyrene (BaP), are common dietary pollutants with potential carcinogenic activity, while polyphenols are potential chemopreventive antioxidants. Although several health benefits are attributed to polyphenol-rich pomegranate, little is known about its interaction with BaP. This study integrates histochemical, microbiomic, and metabolomic approaches to investigate the protective effects of pomegranate juice from BaP-induced pathologies. To this end, 48 Sprague\&ndash;Dawley rats received, for four weeks, either pomegranate, BaP, both, or neither (n = 12 rats per group). Whereas histochemical examination of the colon indicated tissue damage marked by mucin depletion in BaP-fed animals, which was partially restored by administration of pomegranate juice, the fecal microbiome and metabolome retained their resilience, except for key changes related to pomegranate and BaP biotransformation. Meanwhile, dramatic microbiome restructuring and metabolome shift were observed as a consequence of the elapsed time (age factor). Additionally, the analysis allowed a thorough examination of fecal microbiome\&ndash;metabolome associations, which delineated six microbiome clusters (marked by a differential abundance of Lactobacillaceae and Prevotellaceae, Rumincococcaceae, and Erysipelotrichaceae) and two major metabolome clusters (a sugar- and amino-acids-dominated metabotype vs. a cluster of fatty acids and hydrocarbons), with sugar alcohols maintaining a unique signature. In conclusion, using paired comparisons to minimize inter-individual animal variations allowed the dissection of temporal vs. treatment-derived variations. Microbiome\&ndash;metabolome association clusters may be further exploited for metabotype prediction and gut-health biomarker discovery.</p>
},
	keywords = {bioinformatics, cancers, multi-omics, Multivariate Analysis, polycyclic aromatic hydrocarbons, Polyphenols, systems biology, systems toxicology, toxicomicrobiomics},
	isbn = {1422-0067},
	author = {Attia, Heba and Shahira A. Elbanna and Rania A. Khattab and Mohamed A. Farag and Aymen S. Yassin and Ramy K. Aziz}
}
