Sergio Baranzini

Brisbane

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Articles

Genetics of multiple sclerosis severity: The importance of statistical power in replication studies

Aug 14, 2024 | journals.sagepub.com | Adil Harroud |Stephen Sawcer |Sergio Baranzini

Get full access to this articleView all access and purchase options for this article. Data availability statementData sharing not applicable to this article as no datasets were generated or analyzed during the current study. References1. Campagna MP, Havrdova EK, Horakova D, et al. No evidence for association between rs10191329 severity locus and longitudinal disease severity in 1813 relapse-onset multiple sclerosis patients from the MSBase registry. Mult Scler J. Epub ahead of print 21 March 2024. 2.
Cosmic kidney disease: an integrated pan-omic, physiological and morphological study into spaceflight-induced renal dysfunction - Nature Communications

Jun 10, 2024 | nature.com | Keith Siew |Charlotte Nelson |Alessandra Grillo |Eliah G. Overbey |JangKeun Kim |Sanghee Yun | +41 more

AbstractMissions into Deep Space are planned this decade. Yet the health consequences of exposure to microgravity and galactic cosmic radiation (GCR) over years-long missions on indispensable visceral organs such as the kidney are largely unexplored.
Cosmic kidney disease: an integrated pan-omic, physiological and morphological study into spaceflight-induced renal dysfunction - Nature Communications

Jun 10, 2024 | nature.com | Keith Siew |Charlotte Nelson |Alessandra Grillo |Eliah G. Overbey |JangKeun Kim |Sanghee Yun | +41 more

AbstractMissions into Deep Space are planned this decade. Yet the health consequences of exposure to microgravity and galactic cosmic radiation (GCR) over years-long missions on indispensable visceral organs such as the kidney are largely unexplored.
Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights - Nature Aging

Feb 20, 2024 | nature.com | Alice S. Tang |Jacquelyn Roger |Sarah R. Woldemariam |Riley Bove |Nima Aghaeepour |Tomiko Oskotsky | +1 more

AbstractIdentification of Alzheimer’s disease (AD) onset risk can facilitate interventions before irreversible disease progression. We demonstrate that electronic health records from the University of California, San Francisco, followed by knowledge networks (for example, SPOKE) allow for (1) prediction of AD onset and (2) prioritization of biological hypotheses, and (3) contextualization of sex dimorphism.
Commentary: What doesn’t kill you makes you stronger . . . or does it?

Feb 17, 2024 | journals.sagepub.com | Sergio Baranzini

Cite articleIf you have citation software installed, you can download article citation data to the citation manager of your choiceSelect your citation manager software:Share optionsShare this articleShare with emailEMAIL ARTICLE LINKShare on social mediaShare access to this articleSharing links are not relevant where the article is open access and not available if you do not have a subscription. For more information view the Sage Journals article sharingpage.
Integration of epigenetic and genetic profiles identifies multiple sclerosis disease-critical cell types and genes - Communications Biology

Mar 30, 2023 | nature.com | Qin Ma |Sergio Baranzini |Stephen L. Hauser |Roland Henry

AbstractGenome-wide association studies (GWAS) successfully identified multiple sclerosis (MS) susceptibility variants. Despite this notable progress, understanding the biological context of these associations remains challenging, due in part to the complexity of linking GWAS results to causative genes and cell types. Here, we aimed to address this gap by integrating GWAS data with single-cell and bulk chromatin accessibility data and histone modification profiles from immune and nervous systems.
Biomonitoring and precision health in deep space supported by artificial intelligence - Nature Machine Intelligence

Mar 23, 2023 | nature.com | Ryan Scott |Lauren Sanders |Erik L. Antonsen |Seung-min Park |Robert Reynolds |Casey Greene | +18 more

AbstractHuman exploration of deep space will involve missions of substantial distance and duration. To effectively mitigate health hazards, paradigm shifts in astronaut health systems are necessary to enable Earth-independent healthcare, rather than Earth-reliant. Here we present a summary of decadal recommendations from a workshop organized by NASA on artificial intelligence, machine learning and modelling applications that offer key solutions toward these space health challenges.
Biological research and self-driving labs in deep space supported by artificial intelligence - Nature Machine Intelligence

Mar 23, 2023 | nature.com | Lauren Sanders |Ryan Scott |Jason Yang |Héctor Martín |Stuart Chalk |Erik L. Antonsen | +18 more

AbstractSpace biology research aims to understand fundamental spaceflight effects on organisms, develop foundational knowledge to support deep space exploration and, ultimately, bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals and humans for sustained multi-planetary life. To advance these aims, the field leverages experiments, platforms, data and model organisms from both spaceborne and ground-analogue studies.

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Sergio Baranzini

Articles

Genetics of multiple sclerosis severity: The importance of statistical power in replication studies

Cosmic kidney disease: an integrated pan-omic, physiological and morphological study into spaceflight-induced renal dysfunction - Nature Communications

Cosmic kidney disease: an integrated pan-omic, physiological and morphological study into spaceflight-induced renal dysfunction - Nature Communications

Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights - Nature Aging

Commentary: What doesn’t kill you makes you stronger . . . or does it?

Integration of epigenetic and genetic profiles identifies multiple sclerosis disease-critical cell types and genes - Communications Biology

Biomonitoring and precision health in deep space supported by artificial intelligence - Nature Machine Intelligence

Biological research and self-driving labs in deep space supported by artificial intelligence - Nature Machine Intelligence

Contact details

Emails

Socials & Sites