Basic Study
Copyright ©The Author(s) 2022.
World J Hepatol. Apr 27, 2022; 14(4): 719-728
Published online Apr 27, 2022. doi: 10.4254/wjh.v14.i4.719
Table 1 Demographic and laboratorial characteristic of 41 patients with Schistosomiasis mansoni, Pernambuco, Brazil, 2020
Characteristic
Total
Mild PPF (C pattern)
Significant PPF (D/E/F pattern)
P value
n411031-
Age (yr)57 (18-80)48.1 (18-75)57.2 (25-80)0.0865a
Sex0.4820b
Male17 (41%)5 (40%)12 (39%)
Female24 (59%)5 (50%)19 (61%)
AST (U/L)29.0 ± 2.624.3 ± 1.930.0 ± 2.90.3328c
ALT (U/L)29.0 ± 2.226.2 ± 4.530.0 ± 3.20.4584c
ALP (U/L)262 ± 33329 ± 113238 ± 220.6379c
GGT (/LSN)62 ± 1235 ± 1671.2 ± 14.00.0013c
Platelets count (/mm3) 131 ± 12218 ± 15102 ± 110.0001c
Total Cholesterol (mg/dL)169.0 ± 4.6174.0 ± 7.2167.8 ± 5.60.4626c
HDL (mg/dL)45.7 ± 2.049 ± 5.744.6 ± 2.00.4863c
LDL (mg/dL)105.0 ± 3.8108 ± 4.7104 ± 4.80.3760c
Glucose (mg/dL)93.6 ± 5.297 ± 1492 ± 5.10.9451c
Table 2 Metabolites responsible for discrimination between mild from significant periportal fibrosis of 41 patients with Schistosomiasis mansoni, Pernambuco, Brazil, 2020
Metabolite
Chemical shift (δ/ppm)
Metabonomics formalism
Higher serum level
Valine1.030OPLS-DAMild PPF
No identified1.046OPLS-DAMild PPF
Alanine1.446 and 1.502PLS-DA and OPLS-DASignificant PPF
N-acetylglucosamine1.975 up to 2.011PLS-DASignificant PPF
Glycolaldehyde3.492PLS-DASignificant PPF
Carbohydrates3.544; 3.692; and 3.808PLS-DA and OPLS-DAMild PPF
Table 3 Confusion matrix-orthogonal projections to latent structures discriminant analysis metabonomics model (mild vs significant periportal fibrosis) of 41 patients with Schistosomiasis mansoni, Pernambuco, Brazil, 2020
Classification from WHO Niamey Protocol


Significant PPF
Mild PPF
P valuea
Metabonomics ModelSignificant PPF280< 0.0001
Mild PPF310