MOESM1 of Serum FFAs profile analysis of Normal weight and obesity individuals of Han and Uygur nationalities in China
Creators: name: Ma, Yinghua
name: Qiu, Tongtong
name: Zhu, Jiaojiao
name: Wang, Jingzhou
name: Li, Xue
name: Deng, Yuchun
name: Zhang, Xueting
name: Feng, Jiale
name: Chen, Keru
name: Wang, Cuizhe
name: Xie, Jianxin
name: Zhang, Jun
Publisher: name: figshare
Year: 2020
Subjects: subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Mental Health
subject: Cardiology

description: Additional file 1: Table S1. Significant differences in FFAs detected by UHPLC-MS and analyzed by OPLS-DA and Mann-Whitney U test between the Han and Uyghur nationalities in NW group. Table S2. Significant differences in FFAs detected by UHPLC-MS and analyzed by OPLS-DA and Mann-Whitney U test between the Han and Uyghur nationalities in OB group. Table S3. Significant differences in FFAs detected by UHPLC-MS and analyzed by OPLS-DA and Mann-Whitney U test between the NW and OB groups in all individuals of two nationalities. Table S4. 34 FFAs detected by UHPLC-MS and analyzed by OPLS-DA and the Mann-Whitney U-test in NW and OB group of Han nationality. Table S5. 34 FFAs detected by UHPLC-MS and analyzed by OPLS-DA and the Mann-Whitney U-test in NW and OB group of Han males. Table S6. 34 FFAs detected by UHPLC-MS and analyzed by OPLS-DA and the Mann-Whitney U-test in NW and OB group of Han females. Table S7. Significant differences in FFAs detected by UHPLC-MS and analyzed by OPLS-DA and Mann-Whitney U test between the male and female groups in NW group of Han nationality. Table S8. Significant differences in FFAs detected by UHPLC-MS and analyzed by OPLS-DA and Mann-Whitney U test between the male and female groups in OB group of Han nationality. Table S9. 34 FFAs detected by UHPLC-MS and analyzed by OPLS-DA and the Mann-Whitney U-test in NW and OB group of Uygur. Table S10. 34 FFAs detected by UHPLC-MS and analyzed by OPLS-DA and the Mann-Whitney U-test in NW and OB group of Uygur males. Table S11. 34 FFAs detected by UHPLC-MS and analyzed by OPLS-DA and the Mann-Whitney U-test in NW and OB group of Uygur females. Table S12. Significant differences in FFAs detected by UHPLC-MS and analyzed by OPLS-DA and Mann-Whitney U test between the male and female groups in NW group of Uyghur nationality. Table S13. Significant differences in FFAs detected by UHPLC-MS and analyzed by OPLS-DA and Mann-Whitney U test between the male and female groups in the OB group of Uygur nationality. Figure S1. Orthogonal partial least squares discriminant analysis in different groups between two nationalities. (a)The score plot of the OPLS-DA model shows a clear discrimination between the 20 NW subjects of Hans (green triangle) and 20 NW subjects of Uygurs (blue square), (b)Permutation test with a permutation number of 200 in the NW groups between two nationalities, (c)The score plot of the OPLS-DA model shows a clear discrimination between the 20 OB subjects of Hans and 20 OB subjects of Uygurs, (d)Permutation test with a permutation number of 200 in the OB groups between two nationalities, (e)The score plot of the OPLS-DA model shows a clear discrimination between the 40 NW subjects and 40 OB subjects of two nationalities, (f)Permutation test with a permutation number of 200 in different groups between two nationalities. Figure S2. Orthogonal partial least squares discriminant analysis between NW and OB group in Han nationality. (a)The score plot of the OPLS-DA model shows a clear discrimination between the 20 OB subjects (blue square)(blue square) and 20 NW subjects (green triangle)(green circle) in the Han nationality, (b)Permutation test with a permutation number of 200 in Han nationality, (c)The score plot of the OPLS-DA model shows a clear discrimination between the 10 OB subjects and 10 NW subjects in the male group, (d)Permutation test with a permutation number of 200 in the male group, (e)The score plot of the OPLS-DA model shows a clear discrimination between the 10 OB subjects and 10 NW subjects in the female group, (f)Permutation test with a permutation number of 200 in the female group. Figure S3. Orthogonal partial least squares discriminant analysis between different genders in the Han nationality. (a)The score plot of the OPLS-DA model shows a clear discrimination between the 10 males (green triangle) and 10 females (blue square) in the NW group (b)Permutation test with a permutation number of 200 in the NW group, (c)The score plot of the OPLS-DA model shows a clear discrimination between the 10 males and 10 females in the OB group, (d)Permutation test with a permutation number of 200 in the OB group. Figure S4. Orthogonal partial least squares discriminant analysis between normal NW OB group in Uygur nationality. (a)The score plot of the OPLS-DA model shows a clear discrimination between the 20 OB subjects (green triangle)(blue square) and 20 NW subjects (blue square)(green circle) in the Uygur nationality, (b)Permutation test with a permutation number of 200 in the Uygur nationality, (c)The score plot of the OPLS-DA model shows a discrimination between the 10 OB subjects and 10 NW subjects in the males group, (d)Permutation test with a permutation number of 200 in the males group, (e)The score plot of the OPLS-DA model shows a clear discrimination between the 10 OB subjects and 10 NW subjects in the females group, (f)Permutation test with a permutation number of 200 in the females group. Figure S5. Orthogonal partial least squares discriminant analysis between different genders in the Uygur nationality. (a)The score plot of the OPLS-DA model shows a clear discrimination between the 10 males (green triangle) and 10 females (blue square) in the NW group (b)Permutation test with a permutation number of 200 in the NW group, (c)The score plot of the OPLS-DA model shows a clear discrimination between the 10 males and 10 females in the OB group, (d)Permutation test with a permutation number of 200 in the OB group. Figure S6. The traditional Venn diagram is used to observe the generality and personality differences of FFAs between NW and OB group in two nationalities. (a)On the overall level, observing the generality and personality differences of FFAs between NW and OB group in two nationalities, (b)In the male group, observing the generality and personality differences of FFAs between NW and OB group in two nationalities. Table S14. Diagnostic accuracy of targeted plasma metabolomics in status of obesity. Table S15. Pathway enrichment analysis of FFAs. Table S16. Disease enrichment analysis of FFAs.