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bioRxiv preprint doi: https://doi.org/10.1101/2020.09.03.280974; this version posted September 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.

1 Sex-dependent pathways in hepatocarcinogenesis triggered by 2 deregulated synthesis

3 Running title: Hepatocarcinogenesis and deregulated cholesterol synthesis 4 5 Kaja Blagotinšek Cokan1, Žiga Urlep1, Gregor Lorbek1, Madlen Matz-Soja2*, Cene Skubic1, 6 Martina Perše3, Jera Jeruc4, Peter Juvan1, Tadeja Režen1, Damjana Rozman1#

7 1 Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, 8 Ljubljana, Slovenia

9 2 Rudol-Schönheimer-Institute of Biochemistry, Divison of General Biochemistry, Faculty of Medicine, University of Leipzig, 10 Leipzig, Germany

11 3 Medical Experimental Centre, Institute of Pathology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia

12 4 Institute of Pathology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia

13 * Current address: Section of Hepatology, Clinic and Polyclinic for Gastroenterology, Hepatology, Infectiology, Pneumology, 14 University Clinic Leipzig, Germany

15 # Correspondence and requests for materials should be addressed to D.R. ([email protected]) 16

17 ABSTRACT

18 We uncover novel pathways of sex-dependent hepatocarcinogenesis due to chronic 19 repression of cholesterol synthesis at the 14α-demethylase (CYP51) step. 20 The response to metabolic insult determined by global liver transcriptome, qPCR and 21 sterol metabolite analysis, together with blood parameters, revealed molecular 22 signatures that differ between females and males. The data deduced from the 23 mouse model are highly relevant for humans. The dampened hepatic 24 presents a hallmark of carcinogenesis, particularly in ageing females, with increased 25 plasma cholesterol and HDL, and a substantial negative enrichment of transcription 26 factors from , such as NR1B1, LXRα, LRH1, and FXR. Importantly, 27 the carcinogenic signalling pathways (ECM-receptor interaction and PI3K/Akt) are 28 positively enriched, albeit with sex-dependent targets. The activated TGF-β, 29 mTOR, Wnt, and signalling worsen the phenotype, with NFATC1/2 being 30 central to the female phenotype. This collectively leads to activated cell death and 31 diminished basal metabolism. In conclusion, our data underline sex as an important 32 biological variable of hepatocarcinogenesis. We uncover novel cholesterol- 33 dependent transcription factors and signalling pathways as cancer markers in the 34 ageing females.

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35

36 Significance: Chronic repression of the late part of cholesterol synthesis provokes 37 hepatocarcinogenesis with sex-dependent modulation of signalling pathways and 38 transcription factors. Aging females show specific metabolic signatures and a more 39 aggrevated phenotype of metabolism-related HCC.

40

41 Keywords. Cholesterol biosynthesis / hepatocellular carcinoma / lanosterol 14α- 42 demethylase (CYP51A1) / sex dimorphism.

43

44 INTRODUCTION

45 Metabolic abnormalities result in metabolic associated fatty liver disease (MAFLD),

46 previously termed (NAFLD) that affects over 30% of the western population and has

47 no approved drug therapies (1). MAFLD can further develop into hepatocellular

48 carcinoma (HCC) and both diseases are predicted to increase in the following

49 decades (2) not only in men but also in women (3).

50 Among lipid factors associated with progressive liver damage is also cholesterol. The

51 cellular cholesterol concentrations are fine-tuned by a balance of synthesis, uptake,

52 and efflux (4). of cholesterol synthesis differ in their susceptibility to loss of

53 function mutations and can affect cell metabolism in different manners, from

54 promoting cell survival towards manifesting in malignancies (5). Linking cholesterol

55 synthesis and liver disease remains controversial. Cholesterol synthesis was shown

56 to support the growth of HCC lesions after depletion of fatty acid synthesis (6),

57 indicating a cross-talk between fatty acid and cholesterol pathways in carcinogenesis.

58 Overexpression of the squalene epoxidase of cholesterol synthesis was

59 identified as a driver of NAFLD-induced HCC (7). On the other hand, blocking

60 cholesterol synthesis at the lanosterol 14α-demethylase (CYP51) step leads to the

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61 prepubertal onset of liver injury with ductular reaction and fibrosis and a pronounced

62 male prevalent liver dysfunction before the puberty (8). In young adults, the liver

63 damage was more prominent among female mice due to diminished cholesterol

64 esters and elevated sterol substrates (9).

65 The sex disparity in liver pathologies is far from conclusive. While some studies don’t

66 describe sex as a cofounding factor (6, 7, 10, 11), there is increasing evidence that

67 after the menopause MAFLD occurs at a higher rate in women compared to men

68 (12). Female and male livers are metabolically distinct organs, which was

69 demonstrated also in mathematical models of the liver with unique regulators of sex-

70 specific metabolic outcomes (13). A recent review concluded that clinical and

71 epidemiological studies frequently fail to address sex differences appropriately (12).

72 This study aimed to address the long-term effect of disrupted liver cholesterol

73 synthesis where the knock-out model of ageing mice was applied. Surprisingly, the

74 tumors developed spontaneously mainly in female ageing mice. We identified novel

75 metabolic pathways and transcription factors that can be linked to metabolism

76 associated with female-prone hepatocarcinogenesis and provide mechanistic insights

77 with relevance for humans.

78

79 RESULTS

80 (1) Long-term hepatocyte deletion of Cyp51 results in HCC. We monitored

81 the liver pathology in mice between 12 month and 24 month of age. Moderate to

82 severe ductular reaction bridging the adjacent portal tracts was observed,

83 accompanied by mild inflammation (predominantly mononuclear cells; arrows in Fig.

84 1A), and fibrosis that was more pronounced in females (Sirius red staining (SR); Fig.

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85 1B). Yellow pigment likely representing lipofuscin (arrow in Suppl. Fig. 1) was

86 observed in areas of pronounced ductular reaction, sometimes surrounded by other

87 hepatic cells, evaluated as macrophages (stars in Fig. 1A).

88 Surprisingly, liver tumors were observed in 12M female and 18M male Cyp51 KO

89 mice (Fig. 2A) defined as macroscopically visible nodules (> 1 mm) of various

90 colours. At 24M the incidence of tumors was 77.8% for KO females and 50% for

91 males. In WTs, a single tumor was found in a 2-year male, histologically described as

92 adenoma (Suppl. Table 2). At 24M, the KOs showed a decreased body weight

93 compared to controls, significantly higher liver weight, and elevated relative liver

94 weights especially in females with the liver tumors (Suppl. Fig. 2 & Suppl. Table 3).

95 Tumors were histologically classified as eosinophilic/clear cell nodules, hepatocellular

96 adenomas, or HCCs (15). Immunohistochemical staining for synthetase as

97 a recently proposed marker of HCC is shown in Suppl. Fig. 3. For further molecular

98 analyses we selected only tumors histologically classified as HCC, with features such

99 as the absence of portal tracts and hepatic lobules, thickened hepatic plates, solid

100 growth, focal tubular or pseudoglandular structures, focal necrosis, numerous

101 apoptotic cells, and presence of cellular and nuclear polymorphism with brisk mitotic

102 activity (Fig. 2B, C).

103

104 (2) From metabolism associated features of MALD towards HCC in

105 females and males. The long-term ablation of Cyp51 in hepatocytes was studied at

106 the gene and metabolic levels. Deregulation of genes from cholesterol synthesis was

107 more pronounced in the Cyp51 KO females (Fig. 3A & Suppl. Tables 4 - 6).

108 Additionally, expression of Cyp8b1, Cyp7a1 and Cyp27a1 from the (BA)

109 synthesis pathway was at 24 months also decreased only in female KO mice,

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110 indicating a drop in the classical pathway of BA synthesis (Suppl. Fig. 4 & Suppl.

111 Tables 4 - 6).

112 Plasma cholesterol (CHOL), free fatty acids (FFA), HDL (high-density lipoprotein),

113 and triglycerides (TG) showed opposite trends among females and males during the

114 ageing, with CHOL and HDL increasing in KO females. A significant increase in ALT

115 in female Cyp51 KO mice is an additional indication of chronic hepatic injury (Fig. 3B

116 & Suppl. Table 4).

117 In the livers, we measured CHOL and the intermediate sterols of the cholesterol

118 synthesis (Fig. 3C & Suppl. Table 4). In the KO mice with inactivated CYP51A1

119 enzyme, its substrates lanosterol and dihydrolanosterol were highly elevated (~100-

120 fold and ~500-fold, respectively), proving disrupted cholesterol synthesis.

121 Dihydrolanosterol was higher than lanosterol indicating that 24-dehydrocholesterol

122 reductase (DHCR24) enzyme functions normally. Downstream the pathway,

123 was not statistically significantly different between Cyp51 KO and WT

124 mice, however, zymostenol was significantly higher in Cyp51 KO livers. Small or no

125 change between genotypes indicates that sterol intermediates were replaced by

126 transport to the liver or by the upregulated synthesis in other cell types.

127 For liver CHOL, sex represents a statistically significant parameter in the interaction

128 analysis between sex and age. Similarly as for blood CHOL also hepatic CHOL is

129 increased in female mice during the ageing while this was not the case for the males

130 (Fig 3B, C & Suppl. Table 4).

131

132 (3) Transcriptome analysis identified sex differences in gene expression

133 linked to hepatocarcinogenesis. We used Affymetrix microarrays for gene

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134 expression profiling of 24M Cyp51 KO (24M.KO) and controls (24M.WT) mouse liver

135 samples. Data was compared to 19W Cyp51 KO (19W.KO) and controls (19W.WT)

136 (14) (Suppl. Tables 6 – 8) and discussed in the view of the early processes towards

137 carcinogenesis.

138 Hierarchical clustering of differentially expressed (DE) genes showed a clear

139 difference between 24M.WT and 24M.KO mice for both sexes (Fig. 4A) and a clear

140 sex imbalance in the number of DE genes (Fig. 4B). From these, 11.6% DE genes

141 including Trp53, Ezh2, Foxa1, and Rb1 were deregulated only in males, while 63.4%

142 DE genes including Ctnnb1, Gsk3b, Nova1, Lmna, Gstp1, and Mup20 were

143 deregulated only in females (Suppl. Tables 6, 9). Furthermore, a majority of DE

144 genes were positively enriched (56% in females and 68% in males) (Fig. 4B). Using

145 NetworkAnalyst (16), the functionally enriched networks of DE genes showed that

146 positively enriched genes were mostly involved in pathways related to cancer and

147 extracellular matrix (ECM)-receptor interaction pathway, while genes from metabolic

148 pathways were negatively enriched, especially among female KOs (Fig. 4C).

149

150 (4) Enriched KEGG pathways and transcription factors (TFs) as triggers

151 of female prevalent hepatocarcinogenesis. From 323 KEGG pathways, we

152 discovered 209 that were enriched in livers of 19W.KO mice aligned with 19W.WT

153 (Suppl. Tables 7, 10) and 230 in 24M.KO compared to 24M.WT mice (Table 1,

154 Suppl. Table 7), including the activation of HCC, apoptosis, endocytosis, PI3K/Akt

155 signalling, pathways in cancer, and proteoglycans in cancer. ECM-receptor

156 interaction pathway was observed as the most positively enriched in 19W KO

157 females (Suppl. Table 10) and 24M KO females and males (Table 1), which is in line

158 with the histological findings (Fig. 2B). Chronic injury induces numerous molecular

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159 alterations in hepatocytes and causes a gradual accumulation of extracellular matrix

160 components (ECM) that might lead to a complete architectural reconstruction of

161 hepatocytes and tumor development.

162 Interestingly, the TGF-β signalling pathway was significantly elevated only in Cyp51

163 KO female livers (19W: Suppl. Table 10; 24M: Table 1). Additionally, the Wnt

164 signalling and circadian entrainment pathways were activated only in KO females

165 (Table 1). We further explored if these pathways could serve as triggers for female

166 hepatocarcinogenesis in the Cyp51 KO model. The selected markers of the

167 TGF-β and Wnt signalling were evaluated by qPCR and IHC. Here TGF-β showed a

168 positive reaction, particularly in female Cyp51 KO mice (Suppl. Fig. 5, 6 & Suppl.

169 Table 11). Biosynthesis of unsaturated fatty acids, fatty acid degradation, and

170 peroxisome pathways were negatively enriched in KO females at 19W and 24M as

171 well as males at 24M KO (19W: Suppl. Table 10; 24M: Table 1).

172 Considering the general alteration of DE genes and KEGG pathways in Cyp51 KO

173 mice, the transcription landscape was investigated. The TF enrichment analysis

174 indicated 321 and 142 enriched TFs in 19W.KO and 24M.KO in comparison to WT

175 littermates (Suppl. Table 8). The enriched TFs with specific functions are listed in

176 Suppl. Table 10 (19W), and Table 1 (24M). In both groups, the transcriptional

177 activity of RORC was negatively enriched (at 19W.KO in females only), while SOX9,

178 SP1, AP1, and C-JUN TFs activities were positively enriched. The oncogenic isoform

179 of SOX9 ((Sox9)2) was positively enriched only among females. The expression of

180 the majority of RORC and SOX9 target genes was decreased in Cyp51 KO mice,

181 while Cd36 in Cyp51 KO 19W males and 24M of both sexes was positively enriched

182 (Suppl. Table 12). Additionally, the RORC gene target G6pc, which is involved in the

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183 regulation of the PI3K/Akt signalling pathway, was significantly negatively enriched in

184 female KO mice (Suppl. Table 12).

185 The TF networks were visualized with STRING (17) to determine the interactions.

186 Different colours of nodes represent biological processes in which enriched TFs of

187 Cyp51 KO mice are involved. Surprisingly, SP1 and JUND expressed in both sexes

188 represent nodules with most protein-protein associations linked to

189 hepatocarcinogenesis of Cyp51 KO mice (Suppl. Fig. 7).

190

191 DISCUSSION

192 The hallmark of cancer cells is metabolic reprogramming, causing new cellular

193 demands in selective survival and growth (18). Cholesterol is a precursor of

194 hormones and bile acids and an essential component of cellular membranes. Its

195 circulating levels are under healthy homeostatic conditions regulated by a balance

196 between cellular cholesterol synthesis, dietary intake, and removal of excess

197 cholesterol (19).

198 CYP51A1 is a gene from the late (post-squalene) part of the pathway (20). The

199 disruption of this gene in hepatocytes starts with morphological alterations, such as

200 ductular reaction accompanied by mild inflammation, and can end with malignant

201 liver tumors in ageing mice that are first observed at 12M in females and 18M in

202 males, with the highest incidence in the 24M female Cyp51 KO mice. Also, humans

203 show sex-dependent differences in liver pathologies. Women more commonly

204 present with acute liver failure, benign liver lesions, autoimmune hepatitis, and toxin-

205 mediated hepatotoxicity. Oppositely, malignant liver tumors, and viral hepatitis are

206 less commonly observed in women (21). However, non-alcoholic steatohepatitis

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207 (NASH) as a more serious form of MALD, more commonly progresses to HCC in

208 women (22). Generally, women are less prone to developing HCC than men (due to

209 hormone-dependent resistance), while after the menopause a sharp increase in HCC

210 incidence is witnessed (23).

211 The latest studies indicate that post-squalene intermediates of cholesterol synthesis

212 are also signalling molecules. Inhibiting different from the pathway results in

213 the accumulation of sterol intermediates with different cellular effects. Sterol products

214 can activate RORC signalling (24), promote oligodendrocyte formation (25), or

215 activate LXRα and inhibit EGFR signalling (26). Inhibitors of lanosterol synthase were

216 identified as potential anticancer drug targets (27) while the accumulation of

217 lanosterol can cause degradation of 3-hydroxy-3-methyl-glutaryl-coenzyme A

218 reductase (HMGCR) (28). Our sterol measurements show significant accumulation of

219 CYP51A1 substrates lanosterol and dihydrolanosterol, with differences between

220 males and females regarding lanosterol. The main difference between the genotypes

221 is likely in the accumulation of sterol substrates rather than a lack of downstream

222 sterols, while the difference between the sexes is shown by the sex-dependent

223 transcriptome response to sterol imbalance. Due to the lack of sterols between

224 lanosterol and zymosterol as proposed RORC natural ligands, we observe at 24M

225 the repression of the RORC signalling pathway in both sexes. The RORC-dependent

226 mechanisms in cancerogenesis were recently described. Oh et al. reported that

227 RORC expression is decreased in basal-like subtype cancers and inversely

228 correlated with histological grade and cancer drivers in breast cancer cohorts (29). In

229 line with our findings, negatively enriched RORC could inversely regulate the TGF-

230 β/EMT signalling in Cyp51 KO mice.

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231 Injured hepatocytes in Cyp51 KO mice produce different ECMs, exemplified by

232 enrichment of laminin and collagen genes (Col5a1, Col4a1, Lamc1, etc.) and strongly

233 positively enriched ECM-receptor interaction pathway in KOs of both sexes. In some

234 way, these alterations could contribute to microenvironmental reorganization and

235 induction of epithelial-mesenchymal transition (EMT) that positively influences tumor

236 progression (30). A higher rate of cancer progression in female Cyp51 KO mice could

237 be explained by the female-specific interplay of positively enriched TGF-β signalling.

238 An activated TGF-β represents a central regulator of chronic liver disease and could

239 contribute to the progression of all disease stages in animal models and humans

240 (31). Interestingly, important crosstalk between TGF-β and Cyp51 gene expression

241 has been shown in the Tgf-βfl/fl; Wnt-Cre mouse model (32).

242 Furthermore, the results of our analysis identified the key transcriptional regulators of

243 DE molecular pathways: positively enriched SOX9, SP1, and negatively enriched

244 RORC. SOX9 is an important candidate for the cancer marker required for the

245 activation of the TGF-β/Smad signalling (33). As SOX9, the tumor progression driver

246 SP1 is also a key factor for the induction of TGF-β during inflammation (34) and its

247 overexpression in Cyp51 KO relates to EMT and migration of pancreatic cancer cells

248 (35). The impact of higher disease progression in female Cyp51 KO mice is reflected

249 also in the interplay of transcription regulator SMAD3 on TGF-β signalling (36).

250 Increased plasma CHOL and HDL, and decreased plasma TG and FFA, are

251 observed only in female KO mice. This is a possible effect of induced -

252 binding globulin (SHBG) by specific targets of an estrogen signalling pathway (37).

253 SHBG is positively correlated with HDL and negatively with TGs and has been

254 already associated with different cancers in ageing humans (38, 39). Supporting

255 other hepatocarcinogenesis studies (40, 41), the outcome of altered cholesterol and

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256 BA homeostasis was a chronic liver injury in our Cyp51 KO mouse model with

257 widespread fibrosis, inflammation, and malignant transformation due to toxic sterol

258 accumulation. Additionally, sterol accumulation, in our case the consequence of

259 inhibition of CYP51A1 (14), could be a cause of the observed widespread increase of

260 hepatic progenitors (also known as a ductular reaction) that may also differentiate

261 into mature hepatocyte-like cells with oncogenic potential (42).

262 Based on our data we propose that the repression of CYP51A1 enzyme can

263 contribute to HCC development. In humans, whole-body deletion of CYP51A1 is not

264 reported, since this gene is essential and is embryonically lethal in the mouse (43).

265 Only two studies are reporting the CYP51A1 deleterious mutations, which resulted in

266 infant liver failure and death (44, 45). Numerous polymorphisms in CYP51A1 have

267 been associated with different phenotypes in humans (46), but the consequences of

268 CYP51A1 heterozygosity in human hepatocarcinogenesis need yet to be established.

269 CYP51A1 has a low mutation rate, lower than other cholesterol synthesis genes (47).

270 The CYP51A1 rs37417517 variant was found associated with the female-specific

271 breast cancer and variant rs229188 with the women ageing genetics (48, 49).

272 Additionally, the COSMIC database revealed the presence of somatic CYP51A1

273 point mutations in tumor samples, some also with predicted deleterious effect on

274 activity (Suppl. Tables 13, 14).

275

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276 CONCLUSIONS

277 The hallmark of cancer cells is metabolic reprogramming, causing new cellular

278 demands in selective survival and growth. Innactivation of CYP51A1 from cholesterol

279 synthesis provokes global transcriptome changes. Multiple signalling pathways and

280 transcription factors are deregulated in a sex-dependent manner (Suppl. Fig. 8)

281 which leads towards metabolic-related HCC. Female-specific cholesterol-related

282 mechanism of hepatocarcinogenesis was aligned with human data (Fig. 5) and is in

283 line with the fact that the liver is a sex-dimorphic metabolic organ and a major organ

284 of cholesterol homeostasis. A novel finding of our work is that cholesterol synthesis

285 deregulation due to repression of Cyp51 initially results in NASH-like features that

286 progress towards hepatocellular carcinoma in a sex-specific manner, with more

287 aggrevated phenotype and specific signalling pathways in the aging females.

288

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289 MATERIALS AND METHODS

290 Detailed materials and methods are described in Supplementary Materials and

291 methods. The experimental design of the study is shown in the Suppl. Fig. M1.

292 Animals. The homozygous hepatocyte-specific Cyp51 knock-out (Cyp51 KO) and

293 wild-type (Cyp51 WT) mice of both sexes were used following relevant guidelines

294 and regulations. The mice were sacrificed with cervical dislocation at 12, 18, and 24

295 months (M). Organs were removed, patho-morphology examined, freshly frozen, and

296 stored at – 80 °C.

297 Ethics statement. Mouse experiments were approved by the Veterinary

298 Administration of the Republic of Slovenia (license numbers 34401-31/2011/4 and

299 34401-52/2012/3) and were conducted in agreement with the National Institute of

300 Health guidelines for work with laboratory animals, national legislation and Directive

301 2010/63/EU on the protection of animals used for scientific purposes.

302 Histology. Hematoxylin and eosin (H&E) staining, Sirius red (SR) staining and

303 immunohistochemical reaction for glutamine synthetase, TGF-β and β-catenin were

304 carried out on 4-5 µm formalin-fixed and paraffin-embedded liver sections.

305 Analysis of plasma parameters. The concentration of lipids (total and HDL

306 cholesterol, FFA, TG) and activity of liver enzymes (ALT and AST) were measured in

307 plasma by commercial kits.

308 Liver sterol analysis. Sterol intermediates were isolated as described (50) and

309 identified and quantified by LC-MS. After normalization based on internal standard,

310 the concentration of individual sterols was calculated corresponding to the standard

311 sterols from Avanti Lipids.

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312 Gene expression profiling of liver samples of 24M old Cyp51 WT and KO mice of

313 both sexes was performed using Affymetrix GeneChip™ Mouse Gene 2.0 ST arrays

314 and validated by qPCR. Samples of 20 mice were obtained from normal livers as

315 controls (wild-type, WT) and macroscopically visible liver tumors with surrounding

316 tissue as KO. The data were analysed using R/limma controlling false discovery rate

317 at α=0.05 and deposited to GEO under accession number GSE127772. KEGG

318 PATHWAY and TRANSFAC databases were used for functional enrichment studies.

319 Gene expression data from 19 weeks (W) (14) WT and KO mice of both sexes were

320 used to determine processes that contribute to tumor progression from 19W towards

321 24M. Network diagrams were created using NetworkAnalyst and STRING. The

322 proposed mechanistic scheme was designed from data obtained from mice

323 experiments and aligned to human literature data to increase their relevance.

324

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325 DECLARATIONS

326 Ethical Approval and Consent to participate

327 None.

328 Consent for publication

329 None.

330 Availability of supporting data

331 The datasets generated during the current study are available in the Gene

332 Expression Omnibus database (https://www.ncbi.nlm.nih.gov/geo/) under accession

333 number GSE127772 and GSE58271.

334 Competing interest

335 The authors declare no competing financial interests.

336 Funding

337 This work was supported by the Slovenian Research Agency (ARRS) program grants

338 P1-0104, P1-0390, J1-9176. K. Blagotinšek Cokan, G. Lorbek, and Ž. Urlep is/were

339 supported by the graduate fellowship of ARRS.

340 Author contributions

341 Study design and supervision: D.R.; Experiment conduct: K.B.C., G.L., M.P., C.S.;

342 Data analysis: P.J.; Data evaluation and interpretation: K.B.C., M.P., J.J., C.S, D.R.;

343 Material support: M.M.S.; Writing of the manuscript: K.B.C., M.P., J.J., T.R., P.J.,

344 D.R. All the authors contributed to the final version of the manuscript.

345

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346 Acknowledgements

347 We thank K. Kodra, H. Klavžar, M. Kužnik, and D. Mahn for their help with

348 experiments. We acknowledge S. Horvat and R. Keber for their previous contribution

349 to the development of the Cyp51 knock-out mouse model. Thanks also to N. Nadižar

350 for help in statistical data evaluation and figures preparation and P. Ivanuša for help

351 with sterol isolation. Thanks to collaborators I. Vovk and M. Križman for LC-MS

352 method development.

353

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511 FIGURE LEGENDS

512 Figure 1. Blocking cholesterol synthesis in KOs resulted in histological

513 alterations of the liver, particularly among females. (A) Histological examination

514 revealed ductular reaction (*) and inflammation (→) (H&E, original magnification

515 x200), N=5-10. (B) Sirius red stain (SR, original magnification x200) showed more

516 pronounced fibrosis in female transgenic mice, N=3-5. M, month; KO, Cyp51 KO;

517 WT, Cyp51 WT.

518

519 Figure 2. Blocking cholesterol synthesis in KOs resulted in

520 hepatocarcinogenesis, the bigger tumor histologically consistent with HCCs.

521 (A) Representative gross image of liver tumors in 24M KO mice. (B) Representative

522 histologic image of HCC showing different architectural abnormalities. (C) Higher

523 magnification showing cellular and nuclear polymorphism with brisk mitotic activity.

524 Hematoxylin and Eosin (H&E), original magnification A, B x100, C x400. KO, Cyp51

525 KO; T, tumor.

526

527 Figure 3. Age profiles of the compensatory changes in cholesterol

528 homeostasis in KOs and WTs. (A) Expression of hepatic genes from cholesterol

529 synthesis N = 5 mice per sex/genotype/age group. (B) Plasma biochemical

530 parameters, N=5-10 mice per sex/genotype/age group. (C) Levels of selected hepatic

531 sterol intermediates and cholesterol, N=4-6 mice per sex/genotype/age group. Light

532 color bands - 95% confidence interval. Dots - individual measurements. KO, Cyp51

533 KO; WT, Cyp51 WT, F = female; M = male.

534

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535 Figure 4. Target genes associated with blocking cholesterol synthesis. (A)

536 Heat-map of top 50 DE transcripts that showed significant differences in at least one

537 comparison: hierarchical clustering distinguished between the genotypes and sex of

538 24M.KO~WT mouse livers. (B) Stacked column plots with numbers of differentially

539 up- and down-regulated sex-specific genes of 24M Cyp51 KO mice. (C) The

540 functional enriched networks of up- and down-regulated DE genes in female and

541 male 24M.KO~WT mice using NetworkAnalyst. The size of nodes corresponds to the

542 number of DE genes within a particular molecular process. All pathway nodules are

543 differentially expressed (p<0.05), the gradation rising from red to yellow (most

544 enriched) in the network of positively (left) and negatively (right) enriched molecular

545 processes. Circles representing cancer pathways and ECM-receptor interaction are

546 surrounded by green lines.

547

548 Figure 5. Sex-dependent metabolic and transcriptional changes after disrupted

549 Cyp51 from cholesterol synthesis align with hepatocarcinogenesis. CYP51A1

550 enzyme was repressed in hepatocytes of both sexes. However, chronic metabolic

551 insult resulted in a variety of sex-specific metabolic changes. In the liver of both

552 sexes at 24 months, we observed accumulation of hepatic lanosterol and

553 dihydrolanosterol (metabolites of CYP51A1 enzyme), while hepatic cholesterol is

554 increased in females and decreased in males, both WTs and KOs. There is a

555 substantial negatively enrichment of TFs related to metabolism in female Cyp51 KO

556 mice, such as the NR1B1:RXR, LXR:RXR, LRH1, and FXR. The carcinogenesis

557 related signalling pathways (ECM-receptor interaction and PI3K/Akt) are positively

558 enriched, with sex-specific gene targets. The activated TGF-β and estrogen

559 signalling pathways worsen the phenotype, particularly among females. Increased

21 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.03.280974; this version posted September 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.

560 plasma CHOL and HDL, and decreased plasma TGs and FFA, are observed only in

561 female KO mice.

562 Arrows indicate active connections between enriched genes, KEGG pathways, and

563 TFs. Blocked arrows represent repression. Hatched arrows represent possible

564 transcription regulation of the selected pathway or connection between selected

565 pathways in KO mice. Metabolites, DE genes, KEGG pathways, and TFs are violet if

566 positively enriched and green if negatively enriched. Icons were used from the

567 Reactome icon library. All selected mouse signalling and metabolic pathways and

568 TFs were aligned with human literature data.

569

570 TABLE LEGEND

571 Table 1. The most significantly enriched KEGG pathways and their regulation

572 by DE TFs in 24M KOs. Parameters shown in bold are statistically significant. Dark

573 green logFC - the most negative enriched pathway/TF, dark violet logFC – the most

574 positive enriched pathway/TF. KEGG, Kyoto Encyclopaedia of Genes and Genomes;

575 * p<0.05, ** p<0.01, *** p<0.001.

576

22 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.03.280974; this version posted September 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. bioRxiv preprint doi: https://doi.org/10.1101/2020.09.03.280974; this version posted September 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. bioRxiv preprint doi: https://doi.org/10.1101/2020.09.03.280974; this version posted September 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. bioRxiv preprint doi: https://doi.org/10.1101/2020.09.03.280974; this version posted September 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. bioRxiv preprint doi: https://doi.org/10.1101/2020.09.03.280974; this version posted September 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. bioRxiv preprint doi: https://doi.org/10.1101/2020.09.03.280974; this version posted September 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.

Table 1. The most significantly enriched KEGG pathways and their regulation

by DE TFs in 24M KOs. Parameters shown in bold are statistically significant. Dark

green logFC - the most negative enriched pathway/TF, dark violet logFC – the most

positive enriched pathway/TF. KEGG, Kyoto Encyclopaedia of Genes and Genomes;

* p<0.05, ** p<0.01, *** p<0.001.

24M.KO~WT 24M.KO~WT FEMALES MALES TRANSCRIPTION FEMALES MALES KEGG PATHWAY adj. adj. FACTOR adj. adj. LogFC LogFC LogFC LogFC P-value P-value P-value P-value <0.001 <0.001 <0.001 <0.001 Cell cycle 1.60 2.13 SP1 1.47 1.49 *** *** *** *** <0.001 <0.001 <0.001 <0.001 Pathways in cancer 1.89 1.84 C-JUN 1.42 1.50 *** *** *** *** ECM-receptor <0.001 <0.001 <0.001 <0.001 1.82 1.85 JUND 1.05 0.91 interaction *** *** *** *** Proteoglycans in <0.001 <0.001 <0.001 <0.001 1.63 1.61 C-FOS 1.47 1.33 cancer *** *** *** *** <0.001 <0.001 <0.001 <0.001 Apoptosis 1.65 1.49 AP1 1.17 0.88 *** *** *** *** <0.001 <0.001 <0.001 0.004 p53 signalling pathway 1.26 1.33 C/EBPβ 0.91 0.87 *** *** *** ** <0.001 <0.001 <0.001 <0.001 MicroRNAs in cancer 0.87 0.95 Egr1 0.95 1.03 *** *** *** *** Hepatocellular <0.001 0.006 <0.001 0.001 0.95 0.72 SOX9 0.90 0.63 carcinoma *** ** *** ** 0.020 0.005 Circadian entrainment 0.42 0.27 0.197 (SOX9)2 0.67 0.50 0.062 * ** 0.007 0.008 0.004 TGF-β pathway 0.45 0.14 0.427 HIF1α 0.43 0.58 ** ** ** 0.035 Wnt signalling pathway 0.32 0.018 * 0.24 0.118 NFATC1 0.36 0.29 0.156 * PI3K/Akt signalling <0.001 <0.001 0.031 0.009 1.61 1.51 CLOCK -0.26 -0.41 pathway *** *** * ** 0.001 0.009 0.043 Fatty acid degradation -1.18 -1.12 LXRα:RXRα -0.56 -0.19 0.602 ** ** * 0.009 <0.001 0.019 Metabolic pathways -1.80 -0.69 0.367 α -1.60 -1.17 ** HNF4 *** * <0.001 0.018 Peroxisome -1.82 -1.20 RORα *** * Primary bile acid 0.002 0.004 <0.001 <0.001 -1.29 -1.40 RORC -1.68 -2.10 biosynthesis ** ** *** *** Biosynthesis of 0.018 <0.001 <0.001 -0.87 -0.46 0.261 NR1B1 -0.80 -0.59 unsaturated fatty acid * *** ***