Sexual dimorphism plays an important role in the pathogenesis and progression of CKD. Men with CKD often exhibit faster kidney function decline, leading to higher rates of kidney failure and mortality compared with women. Studies suggest that sex hormones may influence this apparent dimorphism, although the mechanisms underlying these influences remain poorly understood. In this review, we first summarize recent findings on sex differences in the prevalence and progression of CKD. Subsequently, we will focus on ( 1 ) the role of sex hormones in these sex differences, ( 2 ) kidney structural and hemodynamic differences between men and women, ( 3 ) the influence of sex hormones on pathophysiological processes leading to kidney disease, including glomerular hyperfiltration and key pathways involved in kidney inflammation and fibrosis, and finally, focus on the consequences of the underrepresentation of women in clinical trials. Understanding these sex differences is critical for advancing precision medicine and improving outcomes for both men and women with CKD.

BACKGROUND: Men with chronic kidney disease (CKD) experience faster kidney function decline than women. Studies in individuals undergoing sex hormone therapy suggest a role for sex hormones, as estimated glomerular filtration rate (eGFR) increases with feminizing therapy and decreases with masculinizing therapy. However, effects on measured GFR (mGFR), glomerular and tubular function, and involved molecular mechanisms remain unexplored. METHODS: This prospective, observational study included individuals initiating feminizing (estradiol and antiandrogens; n = 23) or masculinizing (testosterone; n = 21) therapy. Baseline and 3-month assessments included mGFR (iohexol clearance), kidney perfusion (para-aminohippuric acid clearance), tubular injury biomarkers, and plasma proteomics. RESULTS: During feminizing therapy, mGFR and kidney perfusion increased (+3.6% and +9.1%, respectively; P < 0.05) without increased glomerular pressure. Tubular injury biomarkers, including urine neutrophil gelatinase-associated lipocalin, epidermal growth factor (EGF), monocyte chemoattractant protein-1, and chitinase 3-like protein 1 (YKL-40), decreased significantly (–53%, –42%, –45%, and –58%, respectively). During masculinizing therapy, mGFR and kidney perfusion remained unchanged, but urine YKL-40 and plasma tumor necrosis factor receptor 1 (TNFR-1) increased (+134% and +8%, respectively; P < 0.05). Proteomic analysis revealed differential expression of 49 proteins during feminizing and 356 proteins during masculinizing therapy. Many kidney-protective proteins were positively associated with estradiol and negatively associated with testosterone, including proteins involved in endothelial function (SFRP4, SOD3), inflammation reduction (TSG-6), and maintaining kidney tissue structure (agrin). CONCLUSION: Sex hormones influence kidney physiology, with estradiol showing protective effects on glomerular and tubular function, while testosterone predominantly exerts opposing effects. These findings emphasize the role of sex hormones in sexual dimorphism observed in kidney function and physiology and suggest new approaches for sex-specific precision medicine. TRIAL REGISTRATION: Dutch Trial Register (ID: NL9517); ClinicalTrials.gov (ID: NCT04482920).

BACKGROUND: In type 1 diabetes (T1D), impaired insulin sensitivity may contribute to the development of diabetic kidney disease (DKD) through alterations in kidney oxidative metabolism. METHODS: Young adults with T1D ( n = 30) and healthy controls (HCs) ( n = 20) underwent hyperinsulinemic-euglycemic clamp studies, MRI, ¹¹ C-acetate PET, kidney biopsies, single-cell RNA-Seq, and spatial metabolomics to assess this relationship. RESULTS: Participants with T1D had significantly higher glomerular basement membrane (GBM) thickness compared with HCs. T1D participants exhibited lower insulin sensitivity and cortical oxidative metabolism, correlating with higher insulin sensitivity. Proximal tubular transcripts of TCA cycle and oxidative phosphorylation enzymes were lower in T1D. Spatial metabolomics showed reductions in tubular TCA cycle intermediates, indicating mitochondrial dysfunction. The Slingshot algorithm identified a lineage of proximal tubular cells progressing from stable to adaptive/maladaptive subtypes, using pseudotime trajectory analysis, which computationally orders cells along a continuum of states. This analysis revealed distinct distribution patterns between T1D and HCs, with attenuated oxidative metabolism in T1D attributed to a greater proportion of adaptive/maladaptive subtypes with low expression of TCA cycle and oxidative phosphorylation transcripts. Pseudotime progression associated with higher HbA1c, BMI, and GBM, and lower insulin sensitivity and cortical oxidative metabolism. CONCLUSION: These early structural and metabolic changes in T1D kidneys may precede clinical DKD. TRIAL REGISTRATION: ClinicalTrials.gov NCT04074668. FUNDING: University of Michigan O’Brien Kidney Translational Core Center grant (P30 DK081943); CROCODILE studies by National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) (P30 DK116073), Juvenile Diabetes Research Foundation (JDRF) (2-SRA-2019-845-S-B), Boettcher Foundation, Intramural Research Program at NIDDK and Centers for Disease Control and Prevention (CKD Initiative) under Inter-Agency Agreement #21FED2100157DPG.

Key Points: Proteomics analyses identified seven proteins predictive of time to development of albuminuria among youth with type 2 diabetes in the Treatment Options for Type 2 Diabetes in Adolescents and Youth cohort, 118 proteins predictive of time to development of hyperfiltration, and three proteins predictive of time to rapid eGFR decline. Seven proteins were predictive of all three outcomes (SEM4A, PSB3, dihydroxyphenylalanine decarboxylase, C1RL1, T132A, pyruvate carboxylase, and C1-esterase inhibitor) and have been implicated in immune regulatory mechanisms, metabolic dysregulation, proteostasis, and cellular signaling pathways. Elastic net Cox proportional hazards model identified distinct multiprotein signatures (38–68 proteins) of time to albuminuria, hyperfiltration, and rapid eGFR decline with concordance for models with clinical covariates and selected proteins between 0.81 and 0.96, whereas the concordance for models with clinical covariates only was between 0.56 and 0.63. Background: The onset of diabetic kidney disease (DKD) in youth with type 2 diabetes (T2D) mellitus often occurs early, leading to complications in young adulthood. Risk biomarkers associated with the early onset of DKD are urgently needed in youth with T2D. Methods: We conducted an in-depth analysis of 6596 proteins (SomaScan 7K) in 374 baseline plasma samples from the Treatment Options for Type 2 Diabetes in Adolescents and Youth study to identify multiprotein signatures associated with the onset of albuminuria (urine albumin-to-creatinine ratio ≥30 mg/g), a rapid decline in eGFR (annual eGFR decline >3 ml/min per 1.73 m ² and/or ≥3.3% at two consecutive visits), and hyperfiltration (≥135 ml/min per 1.73 m ² at two consecutive visits). Elastic net Cox regression with ten-fold cross-validation was applied to the top 100 proteins (ranked by P value) to identify multiprotein signatures of time to development of DKD outcomes. Results: Participants in the Treatment Options for Type 2 Diabetes in Adolescents and Youth study (14±2 years, 63% female, 7±6 months diabetes duration) experienced high rates of early DKD: 43% developed albuminuria, 48% hyperfiltration, and 16% rapid eGFR decline. Increased levels of seven and three proteins were predictive of shorter time to develop albuminuria and rapid eGFR decline, respectively; 118 proteins predicted time to development of hyperfiltration. Elastic net Cox proportional hazards models identified multiprotein signatures of time to incident early DKD with concordance for models with clinical covariates and selected proteins between 0.81 and 0.96, whereas the concordance for models with clinical covariates only was between 0.56 and 0.63. Conclusions: Our research sheds new light on proteomic changes early in the course of youth-onset T2D that associate with DKD. Proteomic analyses identified promising risk factors that predict DKD risk in youth with T2D and could deepen our understanding of DKD mechanisms and potential interventions. Clinical Trial registry name and registration number: NCT00081328.

Adult-onset diabetes increases one’s risk of neurodegenerative disease including Alzheimer’s disease (AD); however, the risk associated with youth-onset diabetes (Y-DM) remains underexplored. We quantified plasma biomarkers of neurodegeneration and AD in participants with Y-DM from the SEARCH cohort at adolescence and young adulthood (Type 1, n = 25; Type 2, n = 25; 59% female; adolescence, age = 15 y/o [2.6]; adulthood, age = 27.4 y/o [2.2]), comparing them with controls (adolescence, n = 25, age = 14.8 y/o [2.7]; adulthood, n = 21, age = 24.9 y/o [2.8]). Plasma biomarkers, including glial fibrillary acidic protein (GFAP), neurofilament light chain protein (NfL), phosphorylated tau-181 (pTau181), and amyloid beta (Aβ40, Aβ42), were measured via Simoa. A subset of participants (n = 7; age = 27.5 y/o [5.7]) and six controls (age = 25.1 y/o [4.5]) underwent PET scans to quantify brain amyloid and tau densities in AD sensitive brain regions. Y-DM adolescents exhibited lower plasma levels of Aβ40, Aβ42, and GFAP, and higher pTau181 compared to controls (p < 0.05), a pattern persisting into adulthood (p < 0.001). All biomarkers showed significant increases from adolescence to adulthood in Y-DM (p < 0.01), though no significant differences in brain amyloid or tau were noted between Y-DM and controls in adulthood. Preliminary evidence suggests that preclinical AD neuropathology is present in young people with Y-DM, indicating a potential increased risk of neurodegenerative diseases.

Purpose: Women are generally protected against insulin resistance and related comorbidities when compared with men, potentially due to the role of sex hormones. While epidemiological and animal studies suggest that sex hormones may impact insulin sensitivity, studies in humans on the effects of estradiol and testosterone treatment on insulin sensitivity assessed by gold-standard measures remain limited. The molecular mechanisms involved are also not well understood. Therefore, we aimed to investigate changes in insulin sensitivity and associated change in plasma proteome following 3 months of sex hormone therapy. Methods: This prospective, observational study included 29 individuals initiating feminizing (estradiol with GnRH analogue; n = 16) or masculinizing (testosterone; n = 13) therapy. Measurements at baseline and after 3 months included insulin sensitivity, assessed via hyperinsulinemic-euglycemic clamp (M-value: adjusted for lean body mass and M/I ratio: M-value adjusted for plasma insulin concentrations), along with plasma proteomics. Results: During feminizing hormone therapy, insulin sensitivity increased (M-value: + 23.3%, M/I ratio: + 20.2%; P < .05), whereas during masculinizing hormone therapy, no changes were observed. Of the differentially expressed plasma proteins (49 during feminizing and 356 during masculinizing hormone therapy), 16 correlated with changes in insulin sensitivity. Several were involved in immunoregulation and inflammation (vascular endothelial growth factor D, 5′-nucleotidase), iron homeostasis and erythropoiesis (hepcidin, transferrin receptor protein 1:cytoplasmic domain), and oxidative stress (superoxide dismutase 3). Conclusion: Feminizing hormone therapy, characterized by high serum estradiol and low serum testosterone concentrations, enhanced insulin sensitivity. These findings highlight the impact of sex hormones on insulin sensitivity and may inform sex-specific precision medicine.