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. 2022 Apr 30;44(5):2015–2028. doi: 10.3390/cimb44050136

Table 2.

Microbiome species associated with different dietary habits, antibiotic exposure and therapeutic responses.

Microbiome Diversity p-Value/Rho
Smoking Eggerthella lenta 0.03171159609
Bacteroides uniformis 0.04712580917
Parabacteroides distasonis 0.02032498682
Ruminococcus bromii 0.01317982135
Eubacterium dolichum 0.04625801676
Shigella flexneri 0.03093423221
Trichosporon asahii 0.005986598077
Alcohol Collinsella aerofaciens 0.0370489641
Yarrowia lipolytica 0.02290117753
Trichosporon asahii 0.03762051
Antibiotic Use Candida albicans 0.007496000617
Candida dubliniensis 0.004912107598
Candida Tropicalis 0.005475873728
Candida sp. 0.008415458738
Trichosporon mucoides 0.01966306396
Probiotic Use Bacteroidetes Prevotella 0.01892686135
Lactobacillus zeae 0.01330485808
Anoxybacillus kestanbolensis 0.04702981161
Metarhizium anisopliae 0.002430735173
Trichosporon mucoides 0.009765045696
Red Meat Bacteroides eggerthii 0.065/−0.31
Staphylococcus epidermidis 0.070/−0.31
Ruminococcus bromii 0.077/0.30
Citrobacter gillenii 0.030/−0.37
Fish Eubacterium dolichum 0.037/−0.358
Cronobacter sakazakii 0.087/−0.289
Haemophilus parainfluenzae 0.072/−0.311
Vegetables Roseburia faecis 0.096/−0.28
Faecalibacterium prausnitzii 0.080/−0.304
Ruminococcus bromii 0.066/−0.318
Veillonella parvula 0.002/−0.496
Candida albicans 0.0028/−0.496
Sweets Bifidobacterium adolescentis 0.056/0.329
Blautia producta 0.060/0.329
Agrobacterium sullae 0.078/0.306