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Biology of Sex DifferencesNeurosciencePeer-reviewed journal article

Single cell landscape of sex differences in the different courses of multiple sclerosis

Irene Soler-SáeziD, Borja Gómez-CabañesiD, Rubén Grillo-RiscoiD, Cristina Galiana‐RosellóiD, Lucas Barea MoyaiD, Héctor CarcelleriD, María de la Iglesia-VayáiD, Sara Gil‐PerotíniD, Vanja TepavčevićiD, Marta R. HidalgoiD, Francisco Garcia‐GarcíaiD

PDFDOIPreprint

Abstract

BackgroundOne of the major challenges in addressing multiple sclerosis is to understand its progression trajectory. The pathological process transitions from acute phases predominantly driven by inflammation to progressive clinical profiles where neurodegeneration takes precedence. It is known that sex plays a crucial role in this heterogeneity; females are two to three times more likely to suffer from multiple sclerosis, while males suffer from more rapid neurodegeneration with greater severity. ResultsTo gain insight into the sex-based molecular differences, we processed single cell datasets from the central nervous system and the peripheral blood, covering the different courses of multiple sclerosis. We generated cell-type specific landscapes, including gene signatures from differentially expressed genes, functional profiling, pathway activation, and cell-cell communication networks for females, males, and their sex differential profiles. Among our findings, we revealed that female neurons may exhibit protective mechanisms against neurodegeneration. In the inflammatory-predominant forms, female immune cells present an inflammatory core driven by the AP-1 transcription factor, while male adaptive immune cells exhibit higher mitochondrial impairment. Conversely, larger differences are reported in CD8+ T cells progressive forms, with males exhibiting cytolytic profiles that may promote neurodegeneration. Complete results can be explored in the interactive webtool https://bioinfo.cipf.es/cbl-atlas-ms/. ConclusionsWe identified cell-type specific sex differences in brain and immune cells that vary in the spectrum of multiple sclerosis. We consider this molecular description a valuable resource to promote future targeted approaches considering the sex of the individual.

Citations
3
FWCI
9.15
Field percentile
top 2%

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