Hemodynamic parameters and autonomic portrayal of WR and SHR males and females
Physiological analysis revealed significant differences in cardiovascular parameters between SHRs and WRs, with distinct profiles for males and females. For SBP, two-way ANOVA revealed significant main effects of strain (F = 215.509, P ≤ 0.0001) and a significant strain-by-sex interaction (F = 5.385, P = 0.032) (Fig. 1A). This pattern extends to SBP variability, with significant strain effects and interactions for total variability (TV-SBP: F = 20,346 P ≤ 0,0001; F = 12,135 P = 0,002), very-low-frequency SBP (VLF-SBP: F = 11,157 P = 0,003; F = 10,132 P = 0,005) and low-frequency SBP (LF-SBP: F = 5,5741 P = 0,029; F = 11,458 P = 0,003) (Fig. 1B-D). High-frequency SBP (HF-SBP) analysis revealed only a strain effect (F = 35,6 P ≤ 0,0001) (Fig. 1E). Post hoc tests confirmed that SBP was greater in SHRs than in WRs in both sexes. Notably, SHR males presented significantly increased TV-SBP and other variability metrics compared with those of WR males, whereas SHR females differed from WR females only in HF-SBP. Within-strain comparisons revealed that SHR females presented lower SBP, TV-SBP, and VLF-SBP than SHR males did, indicating a less severe autonomic phenotype in hypertensive females.
Similar patterns were observed for diastolic blood pressure (DBP), with significant strain and interaction effects on DBP (F = 65,404 P ≤ 0,0001; F = 5,275 P = 0,033), as well as in the variability analyses, with TV-DBP (F = 4,79 P = 0,041; F = 4,211 P = 0,05) and VLF-DBP (F = 4,781 P = 0,041; F = 4,052 P = 0,05) (Supplementary Fig. 1A-C). Strain vs. sex effects on LF-DBP were also observed (F = 7,650 P ≤ 0,012; F = 6,693 P = 0,018) (Supplementary Fig. 1D). Strain alone influenced HF-SBP (F = 16,603 P = 0,001) (Supplementary Fig. 1E). Intergroup comparisons revealed higher DBP, TV-DBP, VLF-DBP, LF-DBP and HF-DBP in SHR males than in WR males. In SHR females, DBP and HF-DBP were greater than they were in WR females. Intragroup differences indicate greater normal DBP, TV-DBP, and LF-DBP in WR females than in males, whereas no significant difference in DBP or its variability was detected between male and female SHRs.
We also analyzed heart rate (HR), which demonstrated a significant sex effect (F = 9.611, P = 0.006) (Supplementary Fig. 2A), where intergroup comparisons revealed higher HRs in SHRs than in males. Furthermore, in terms of variability analyses, we observed a strain effect on TV-HR (F = 4.789, P = 0.041) (Supplementary Fig. 2B) and VLF-HR (F = 5.219, P = 0.034) (Supplementary Fig. 2C) and a sex effect on LF-HR (F = 7.743, P = 0.012) (Supplementary Fig. 2D). For HF-HR, no significant effects of sex or strain were observed (Supplementary Fig. 2E). However, our analyses of the LF/HF HR ratio (Supplementary Fig. 2F) revealed significant effects of both sex (F = 6.912, P = 0.017) and strain (F = 6.648, P = 0.018). Finally, the BRS analysis revealed no significant effects of strain, sex, or their interaction (F = 2.630, P = 0.121; F = 0.570, P = 0.460; F = 0.052, P = 0.821; data not shown).
Characterization of the PVN transcriptomic profile in both sexes
RNA sequencing of the PVN identified over 21,000 expressed genes, with a core set of ~ 17,400 genes with a mean expression greater than 5 retained for differential analysis. These genes are distributed across all chromosomes in males and females (Supplementary Fig. 3A and B, Supplementary Table 1), including their median expression. Next, we categorized the genes on the basis of IUPHAR and TF classification and selected those with the highest expression levels in both males and females. Our analysis revealed strong conservation of expressed genes between the sexes and several expected genes, such as those in the endogenous peptide classification, including Oxytocin (Oxt), Vasopressin (Avp), and Angiotensinogen (Agt), in male (Supplementary Fig. 3C, Supplementary Table 2) and female rats (Supplementary Fig. 3D, Supplementary Table 2).
Sex differences in the PVN transcriptome in normotensive and hypertensive rats
We observed strong conservation among the genes identified and expressed in each sex and strain (Fig. 2A). Further analysis of the base mean counts in males and females revealed a strong correlation between gene expression in WR and SHR (males: r = 0.994, slope = 1.116; females: r = 0.994, slope = 0.942). However, a significant difference in the regression slopes was observed (p < 0.0001; Fig. 2B). While both sexes presented highly correlated gene expression patterns between SHR and WR, the males presented a greater increase in gene expression in the SHR strain (slope above 1), with females showing a slight decrease in gene expression (slope below 1). This could indicate sex-specific differences in how gene expression is regulated between the two strains. (Fig. 2B).
To better understand the impact of sex on the gene expression profiles of the two strains, we conducted a differential expression analysis. Principal Component Analysis (PCA) revealed that the samples clustered distinctly based on both strain and sex, confirming the strong dimorphism of the PVN transcriptomic profile (Fig. 2C). Delving deeper into the impact of sex on the PVN transcriptome, we found a modest effect in normotensive rats, with only 18 DEGs between WR female and male rats (8 upregulated, 10 downregulated) (Fig. 2D, Supplementary Table 3). In contrast, the difference was amplified in the SHR strain, with 311 DEGs between SHR females and males (168 upregulated, 143 downregulated) (Fig. 2E, Supplementary Table 4). Among these DEGs, 9 were commonly regulated in both strains, primarily those related to sex chromosomes (Fig. 2F).
The 10 upregulated genes in the PVN of female Wistar rats revealed GO terms related to the receptor complex (GO:0043235), interleukins (GO:0070671, GO:0032729, GO:0032609, GO:0032649, rno04060, R-RNO-447115, and R-RNO-449147), and collagen processes (GO:0032967, GO:0010714, GO:0032965, GO:0010712, GO:0030199, GO:0032964, and GO:0032963). Conversely, pathways associated with the 8 downregulated genes in the PVN of Wistar females and consequently enriched in males were associated with potassium channels (GO:0005242, R-RNO-1296041, and R-RNO-1296059), ligand-gated channel activities (GO:0005217, GO:0015276, GO:0022834, GO:0099094, and GO:0099604), and the oxytocin signaling pathway (rno04921) (Fig. 2G, Supplementary Table 5).
In the SHR strain, pathways enriched with genes upregulated in females revealed mechanisms related to RNA polymerase II (R-RNO-73856), the extracellular matrix and collagen organization (GO:0031012, GO:0062023, GO:0030020, GO:0005201, R-RNO-1474244, GO:0005581, GO:0098644, GO:0005583, GO:0098643, R-RNO-8948216, R-RNO-1650814, and R-RNO-1474290). However, pathways related to genes downregulated in females and consequently upregulated in males included nervous system processes involved in the regulation of systemic arterial blood pressure (GO:0001976), neurodegeneration (rno05012) and protein folding (GO:0006457 and GO:0061077) (Fig. 2H, Supplementary Table 6).
The nine genes commonly regulated by sex in both strains were related to the sex chromosomes, with six genes associated with the X chromosome, including DEAD-Box Helicase 3 X-Linked (Ddx3x), Eukaryotic Translation Initiation Factor 2 Subunit Gamma (Eif2s3), Lysine Demethylase 6A (Kdm6a), Polysaccharide Biosynthesis Domain Containing 1 (Pbdc1), and the pseudogenes ENSRNOG00000037911 and ENSRNOG00000065796. Moreover, three genes related to the Y chromosome were observed: DEAD-Box Helicase 3 Y-Linked (Ddx3/Ddx3y/ENSRNOG00000057231), Lysine Demethylase 5D (Kdm5d), and Eukaryotic Translation Initiation Factor 2 Subunit 3, Structural Gene Y-Linked (Eif2s3y). These common genes demonstrated a conserved alteration influenced by sex, with those enriched in females related to translational initiation (R-RNO-72737, R-RNO-72649, R-RNO-72613, GO:0031369, GO:0005852, and GO:0003743), chromatin DNA binding (GO:0031490), and the histone complex (GO:0141052, GO:0035097, and GO:0032452). In contrast, those enriched in males also influenced pathways related to translational initiation (GO:0002183, GO:0006413, GO:0003743, GO:0008135, and GO:0090079), histone complexes (GO:0141052, GO:0032452, and R-RNO-3214842) and steroid hormone receptors (GO:0030521, GO:0060765, GO:0050681, GO:0030518, and GO:0033143) (Fig. 2I, Supplementary Table 7).
Transcriptomic Profile of Hypertensive Males Reveals Sympathoexcitatory and Stress Pathways
Transcriptomic differences between strains in male rats were clear in the PCA (Fig. 3A). A comparison of SHR males with WR males revealed a massive transcriptomic shift, with 3,013 DEGs (1,335 upregulated and 1,678 downregulated) (Fig. 3B, C and Supplementary Table 8). The categorization of these DEGs by the IUPHAR and TF databases revealed some potentially important genes for PVN functionality. The upregulated genes, including the endogenous peptides Hypocretin Neuropeptide Precursor (Hcrt) and Brain-Derived Neurotrophic Factor (Bdnf), are key drivers of sympathetic activation. In the GPCR category, genes such as Angiotensin II Receptor Type 1 (Agtr1a), Atypical Chemokine Receptor 3 (Ackr3), and the catalytic receptor TNF Receptor Superfamily Member 12A (Tnfrsf12a) were also upregulated (Fig. 3D, Supplementary Table 8). The differentially expressed genes also revealed important gene ontology terms, such as the upregulated genes, which were related to the cellular response to stress processes (R-RNO-2262752 and GO:0034976), protein folding (GO:0006457, GO:0051082, GO:0061077, GO:0051087, GO:0044183, GO:0140662, GO:0101031, GO:0006458, GO:0051084, GO:0051085, and GO:0042026), protein localization (GO:1903405, GO:1990173, GO:0034504, GO:1904851, GO:1900182, GO:0070203, GO:0070202, GO:0072594, GO:1900180, GO:1904816, and GO:0070200), and transcription complexes (GO:0090575). Conversely, the downregulated genes were associated with processes involving the extracellular matrix (GO:0031012, GO:0062023, GO:0030020, and GO:0005201) and gas transport (GO:0015669, GO:0005344, and GO:0015670) (Fig. 3E, Supplementary Table 9).
Transcriptomic changes in the PVN of hypertensive female rats
The clear effect of strain on the PVN of female rats was also evident, as demonstrated by PCA (Fig. 4A). A comparison of SHR females with WR females revealed 1,122 DEGs (435 upregulated, 687 downregulated) (Fig. 4B, C and Supplementary Table 10). The categorization of these DEGs by the IUPHAR and TF databases revealed several potentially important genes that were differentially expressed in female SHRs compared with Wistars. Specifically, among the upregulated genes, the NLR Family CARD Domain Containing 3 (Nlrc3) was noted in the catalytic receptor category, whereas the downregulation of Absent in Melanoma 2 (Aim2) was observed in the other protein category (Fig. 4D, Supplementary Table 10). The impact of these transcriptomic alterations was also reflected in the gene ontology analyses, revealing pathways related to myelination (GO:0042552, GO:0022010, GO:0043209, GO:0043218, and GO:0019911), neuron ensheathment (GO:0032291, GO:0007272, and GO:0008366), and the regulation of glial cells (GO:0045685, GO:0010001, GO:0097386, GO:0021782, GO:0048713, GO:0014003, and GO:0048709) related to the downregulated genes. Moreover, pathways related to the axoneme (GO:0005930), ciliary plasm (GO:0097014), and plasma membrane-bound cell projection cytoplasm (GO:0032838) were enriched with the upregulated genes (Fig. 4E, Supplementary Table 11).
Common and unique genes affected by hypertension in the PVN of male and female rats
Compared with those in WRs, the transcriptomic changes in the PVN of SHRs were notably more pronounced in males than in females. Among the DEGs, 2,458 DEGs were uniquely affected in males, and 567 were uniquely affected in females, according to the blood pressure state of each sex, with 555 genes commonly affected in both sexes (Fig. 5A). A distribution analysis of the commonly regulated genes in both sexes revealed that 552 (99.45%) changed in the same direction and were significantly positively correlated between males and females (R = 0.942, p < 0.0001). Among these genes, several were upregulated in both males and females, such as Serum/Glucocorticoid-Regulated Kinase 1 (Sgk1) and Ly6/PLAUR domain containing 10 (Lypd10), whereas E2F Transcription Factor 2 (E2f2) and Amylase Alpha 1A (Amy1) were downregulated regardless of sex. Among the commonly regulated genes, three were significantly regulated in both sexes but in opposite directions: Mannose Receptor C-Type 1 (Mrc1) and Potassium Inwardly Rectifying Channel Subfamily J Member 4 (Kcnj4) were downregulated in males and upregulated in females, whereas Adipocyte-related X-chromosome expressed sequence 2 (Arxes2) was upregulated in males and downregulated in females (Fig. 5B, Supplementary Table 12). Furthermore, linear regression analysis comparing the effects of common genes on male and female DEGs (Fig. 5C) revealed that females presented a greater coefficient of determination (males: r = 0.363, R² = 0.107, slope = 0.042; females: r = 0.412, R² = 0.184, slope = 0.058), indicating a significant difference in slope (F = 17.17, p < 0.001) and indicating a stronger transcriptomic response to hypertension in females than in males.
The classification of these common genes by the IUPHAR and TF databases revealed potentially important genes regulated by the SHR strain in each category. For example, in the enzyme category, there was an upregulation of the zeta chain of T-cell receptor-associated protein kinase 70 (Zap70) and Sgk1, whereas a downregulation of the endogenous peptide Annexin A1 (Anxa1) was observed (Fig. 5D, Supplementary Table 12). Among the pathways commonly affected by the hypertensive strain in male and female rats, six pathways were conserved (Fig. 5E). These included pathways related to cytoplasmic projection (GO:0032838), ciliary plasm (GO:0097014), and axoneme (GO:0005930) due to the positively regulated genes, whereas the negatively regulated genes affected gas transport pathways (GO:0015669, GO:0015670, and GO:0005344) (Fig. 5F, Supplementary Table 13).
Associations between hypertension and sex differences in the PVN transcriptome
To identify key sex-specific drivers of hypertension, we correlated genes differentially expressed by strain with those differentially expressed by sex in the SHR groups. This analysis revealed 146 genes in common (Fig. 6A). A correlation analysis of these 146 genes revealed a strong and significant correlation (r = 0.901, p = 0.0001), with 35 genes being positively regulated in males and associated with the hypertensive strain, including Adrenoceptor Alpha 2A (Adra2a), Angiotensin II Receptor Type 1 (Agtr1a), Regulator Of G Protein Signaling 2 (Rgs2), TNF Receptor Superfamily Member 12A (Tnfrsf12a), Atypical Chemokine Receptor 3 (Ackr3), and Brain-Derived Neurotrophic Factor (Bdnf) (Fig. 6B, Supplementary Table 14). The positively regulated genes were associated with steroid hormone receptor signaling (GO:0031958, GO:0071383, GO:0033143, GO:0030518, GO:0043401, and GO:0033145), nervous system processes involved in the regulation of systemic arterial BP (GO:0001976), and G protein regulation (GO:0045744, GO:0008277, GO:0001637, and GO:0004930). In contrast, the downregulated genes were associated with processes involving the extracellular matrix process (R-RNO-1474228 and R-RNO-216083) (Fig. 7C, Supplementary Table 15).
Moreover, in the female analysis, among the genes regulated by the hypertensive strain in females and those affected by sex in the SHR lineage, 36 genes that were commonly associated were identified (Fig. 6D), revealing a strong and significant correlation (r = 0.792, p = 0.0001). Among these genes, 11 were positively enriched in females and in the hypertensive strain; notably, they included Nlrc3 and Paired Ig-like Receptor B (Pirb) (Fig. 6E, Supplementary Table 14). The positively regulated genes were shown to be related to specific pathways, such as neutrophil degranulation (R-RNO-6798695), whereas the negatively regulated genes influenced pathways associated with neurodegeneration (rno05022), the ribosomal complex (GO:0000028), and glial cell projection (GO:0097386) (Fig. 6F, Supplementary Table 16).