ArticlemedRxiv : the preprint server for health sciences2026
Blood-based proteomic signatures of spontaneous menopause: Implications for later-life brain aging and Alzheimer's disease risk.
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Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
21 authors.
Madeline Wood AlexanderHurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada, M4N 3M5.ORCID 0000-0003-4598-0201
Jennifer S RabinHurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada, M4N 3M5.
Michelle CauncaNeurovascular Division, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA, 94158.
Allesandra IadipaoloDepartment of Psychological & Brain Sciences, University of California, Santa Barbara, Santa Barbara, California, USA, 93106.
Louisa CornelisDepartment of Physics, University of California, Broida Hall, Santa Barbara, CA, USA, 93106.
Nina MiolaneAnn S. Bowers Women's Brain Health Initiative, University of California, California, USA, 93106.
Albert PhamEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA, 94158.
Julia BorgerEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA, 94158.
Valentina DiazEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA, 94158.
Emily W PaolilloEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA, 94158.ORCID 0000-0003-4188-6998
Joel KramerEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA, 94158.
Laura PritschetAnn S. Bowers Women's Brain Health Initiative, University of California, California, USA, 93106.
Caitlin TaylorDepartment of Psychological & Brain Sciences, University of California, Santa Barbara, Santa Barbara, California, USA, 93106.
Matthew S PanizzonCenter for Behavior Genetics of Aging, School of Medicine, University of California, San Diego, La Jolla, CA, USA, 92093.
Ramiro Eduardo Rea ReyesWisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA, 53792-2420.
Marisa N DenkingerBanner Sun Health Research Institute, Sun City, AZ, USA, 85351.
Nicholas J AshtonBanner Sun Health Research Institute, Sun City, AZ, USA, 85351.
Sterling C JohnsonWisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA, 53792-2420.
Emily G JacobsDepartment of Psychological & Brain Sciences, University of California, Santa Barbara, Santa Barbara, California, USA, 93106.
Rowan SalonerEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA, 94158.ORCID 0000-0002-1351-6183
Kaitlin B CasalettoEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA, 94158.
Funding
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WILLIAM W SEELEY · 2019 to 2026
$36.9MWisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6MWisconsin Registry for Alzheimer's PreventionRF1AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI JOHNSON, STERLING C · 2018 to 2018
$18.8MMechanisms of Executive Decline in Normal AgingR01AG032289 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kaitlin B Casaletto, JOEL H KRAMER · 2009 to 2026
$8.3MImpact of ovarian hormone suppression on regional and global brain architecture and cognitionR01AG063843 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JACOBS, EMILY G, PANIZZON, MATTHEW S · 2020 to 2024
$4.8MSpatial navigation, sex hormones, and the aging brainRF1AG096477 · NIA · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI CHRASTIL, ELIZABETH, JACOBS, EMILY G · 2025 to 2025
$4.8MUnraveling the intersection of synaptic biology, lifestyle, and cognitive resilienceR01AG072475 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CASALETTO, KAITLIN B · 2021 to 2025
$4.3MBiological drivers of sex differences in frontotemporal dementiaRF1AG096165 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CASALETTO, KAITLIN B · 2025 to 2025
$3.4MEffects of chronic inflammation on brain structure and functionR01AG048234 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRAMER, JOEL H · 2015 to 2019
$3.2MNINDS Research Education Programs for Residents and Fellows in Neurology, Neurosurgery, Neuropathology, Neuroradiology and Emergency Medicine (R25)UE5NS070680 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Scott Andrew Josephson · 2024 to 2026
$2.6MPassive digital phenotyping for capturing real-world neurobehavior in neurodegenerative diseaseK23AG084883 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emily Paolillo · 2024 to 2026
$592kDeciphering the molecular landscape of frontotemporal lobar degeneration: A network-based proteomic approachK23AG090757 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Rowan Saloner · 2025 to 2026
$400kNIA NIH HHS K00 AG079790NIA NIH HHS K23 AG084883NIA NIH HHS K23 AG090757NIA NIH HHS P30 AG062422NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG032289NIA NIH HHS R01 AG048234NIA NIH HHS R01 AG063843NIA NIH HHS R01 AG072475NIA NIH HHS RF1 AG027161NIA NIH HHS RF1 AG096165NIA NIH HHS RF1 AG096477NINDS NIH HHS UE5 NS070680Wellcome Trust
Abstract
Menopause is a hallmark process in biological aging that has been associated with later life neurodegenerative risk. We leveraged proteomics data from multiple cohorts (
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