Machine learning algorithms reveal gut microbiota signatures associated with chronic hepatitis B-related hepatic fibrosis

doi:10.3748/wjg.v31.i16.105985

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Apr 28, 2025 (publication date) through Nov 2, 2025

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World Journal of Gastroenterology

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1007-9327

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World J Gastroenterol. Apr 28, 2025; 31(16): 105985
Published online Apr 28, 2025. doi: 10.3748/wjg.v31.i16.105985

Table 1 Demographic and clinical characteristics of non-HF and HF patients, mean ± SD/n (%)

Characteristic		non-HF (n = 35)	HF (n = 102)	P value
Age (years)		39.11 ± 8.03	42.05 ± 10.44	0.097
BMI (kg/m²)		22.54 ± 2.93	23.43 ± 2.82	0.220
Sex	Male	20 (0.213)	74 (0.787)	0.097
	Female	15 (0.349)	26 (0.651)
Occupation	Mental	25 (0.294)	50 (0.706)	0.403
	Physical	5 (0.208)	19 (0.792)
	Retire	5 (0.179)	23 (0.821)
History of smoking	Still	8 (0.235)	26 (0.765)	0.914
	Never	24 (0.258)	69 (0.742)
	Quitting	3 (0.300)	7 (0.700)
History of drinking	Still	7 (0.250)	21 (0.750)	0.299
	Never	26 (0.286)	65 (0.714)
	Quitting	2 (0.111)	16 (0.889)
Drug allergy history	Yes	2 (0.400)	3 (0.600)	0.450
	No	33 (0.250)	99 (0.755)
HBV family history	Yes	28 (0.272)	75 (0.728)	0.444
	No	7 (0.206)	27 (0.794)
Hypertension	Yes	2 (0.250)	6 (0.750)	0.971
	No	33 (0.256)	96 (0.744)
HBsAg (IU/mL)		680.4 (2205.1)	1275.9 (2643.4)	0.191

HF: Hepatic fibrosis; BMI: Body mass index; HBV: Hepatitis B virus; HBsAg: Hepatitis B virus surface antigen.

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Citation: Zhu Y, Geng SY, Chen Y, Ru QJ, Zheng Y, Jiang N, Zhu FY, Zhang YS. Machine learning algorithms reveal gut microbiota signatures associated with chronic hepatitis B-related hepatic fibrosis. World J Gastroenterol 2025; 31(16): 105985
URL: https://www.wjgnet.com/1007-9327/full/v31/i16/105985.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i16.105985