Trans women have worse cardiovascular biomarker profiles than cisgender men independent of hormone use and HIV serostatus.

BACKGROUND: Feminizing hormonal therapy (FHT) and HIV potentially alter cardiovascular disease (CVD) risk in transgender women (TW). METHODS: TW were enrolled in Los Angeles, California and Houston, Texas and frequency-matched to Multicenter AIDS Cohort Study cisgender men (CM) on age, race, substance use, and abacavir use. Biomarkers of CVD risk and inflammation were assessed via ELISA. Wilcoxon rank sum and Fisher's exact tests compared TW and CM. Multivariable linear regression assessed factors associated with biomarker concentrations. RESULTS: TW (HIV+ n  = 75, HIV- n  = 47) and CM (HIV+ n  = 40, HIV- n  = 40) had mean age 43-45 years; TW/CM were 90%/91% non-Hispanic Black, Hispanic, or Multiracial, 26%/53% obese, and 34%/24% current smokers; 67% of TW were on FHT. Among people with HIV (PWH), TW had higher median extracellular newly-identified receptor for advanced glycation end-products (EN-RAGE), lipoprotein-associated phospholipase A2 (LpPLA2), oxidized low-density lipoprotein (oxLDL), soluble tumor necrosis factor receptor type (sTNFR) I/II, interleukin (IL)-8 and plasminogen activator inhibitor (PAI)-1, but lower soluble CD14, von Willebrand factor (vWF) and endothelin (ET)-1 levels than CM. Findings were similar for participants without HIV (all P  < 0.05). In multivariable analysis, TW had higher EN-RAGE, IL-6, IL-8, P selectin, PAI-1, oxLDL and sTNFRI/II concentrations, and lower vWF, independent of HIV serostatus and current FHT use. Both being a TW and a PWH were associated with lower ET-1. CONCLUSIONS: Compared to matched cisgender men, trans women have altered profiles of biomarkers associated with systemic inflammation and CVD. Further work is needed to decipher the contributions of FHT to CVD risk in TW with HIV.

Intersectional Differences in Protective School Assets by Sexuality, Gender, Race/Ethnicity, and Socioeconomic Status.

BACKGROUND: School assets-such as connectedness, caring relationships with adults, high behavioral expectations from adults, and meaningful participation-are associated with positive outcomes for adolescents. However, little is known about how school assets differ among adolescents with intersecting marginalized identities. METHODS: We used the 2013-2014 California Healthy Kids Survey (N = 320,462 students) to examine differences in school assets with respect to sexuality, gender, race/ethnicity, and socioeconomic status using adjusted multilevel linear regression models. RESULTS: Sexual minority, gender minority, racial/ethnic minority, and low socioeconomic status adolescents had significantly lower protective school assets. For all outcomes, the differences between sexual minority and heterosexual adolescents were more pronounced among nontransgender girls than nontransgender boys; however, these differences were not consistently present among racial/ethnic minority students. For school connectedness and meaningful participation, differences for racial/ethnic minorities versus white adolescents were more pronounced among nontransgender girls than nontransgender boys. Differences between transgender adolescents and nontransgender boys were more pronounced for white adolescents compared to some other racial/ethnic minority students. Overall, adolescents with certain multiple marginalized identities had lower school assets. CONCLUSIONS: Interventions are needed to strengthen school assets among marginalized students, thereby helping mitigate health and education inequities.