Table 4. Top 10 lipid and gene expression markers associated with oxidative stress and fibrosis¹.

Pathway		Oxidative Stress			Fibrosis
Marker		Ncf2			Col1A1
Association	Feature	CC2	FDR3	Feature	CC	FDR
Positive	LpCat2	0.98	4.4E-13	Mcp1	0.90	4.0E-07
Positive	SpTlc2	0.95	4.1E-10	Liver Wt	0.90	4.0E-07
Positive	MIS4	0.94	2.1E-09	TNFα	0.88	1.6E-06
Positive	TNFα	0.94	3.7E-09	Change BW	0.88	1.6E-06
Positive	LpCat1	0.93	9.6E-09	AST U/L	0.88	2.4E-06
Positive	GpGro 38:5	0.92	2.4E-08	TG 54:3	0.87	2.7E-06
Positive	DG 36:1	0.91	3.8E-08	MAS5	0.87	2.7E-06
Positive	GpEtn 40:5	0.91	5.5E-08	GpGro 38:5	0.87	2.7E-06
Positive	18:1,ω9	0.90	1.0E-07	LpCat2	0.87	2.7E-06
Positive	SM 32:1	0.90	1.0E-07	Total GpGro	0.85	6.1E-06
Negative	GpCho 36:5	-0.93	1.2E-08	GpEtn 36:2	-0.85	7.0E-06
Negative	GpEtn 38:6	-0.92	2.7E-08	GpEtn 34:2	-0.85	8.2E-06
Negative	GpEtn 36:5	-0.92	2.7E-08	GpEtn 36:5	-0.83	1.3E-05
Negative	ω6 Index	-0.91	4.3E-08	ω3 Index	-0.83	1.3E-05
Negative	TG 58:9	-0.91	4.3E-08	ω6 Index	-0.83	1.3E-05
Negative	ω3 index	-0.91	5.1E-08	GpCho 36:2	-0.82	2.3E-05
Negative	Pdk4	-0.89	1.2E-07	GpEtn 38:6	-0.81	3.1E-05
Negative	11,12-EpETE	-0.88	2.3E-07	GpSer 40:6	-0.79	5.4E-05
Negative	GpCho 38:4	-0.88	2.3E-07	GpEtn 34:3	-0.79	6.1E-05
Negative	GpEtn 34:2	-0.88	2.6E-07	GpCho 36:5	-0.78	8.3E-05

¹Associations between NASH features were determined using the statistical package "Pattern Hunter" in Metabolanalyst [37, 38, 53]. The markers chosen for this analysis were based on the most robust response to the WD within each pathway.

²Correlation coefficient;

³False discovery rate;

⁴MIS, microsteatosis;

⁵MAS, macrosteatosis