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Hutten, Samantha J.

https://orcid.org/0000-0002-8435-744X

Mayo Clinic

Michael J. Fox Foundation

Citations 2

Beyond Alzheimer’s disease—translating biomarker insights across CNS diseases
Brady, Linda S. , Mahinrad, Simin , Edelmayer, Rebecca M. , Potter, William Z. , Hutten, Samantha J. , Anticevic, Alan , Taylor‐Burds, Carol , Winston, Charisse N. , Coetzee, Timothy , Paulsen, Jane S. , Mantua, Valentina, Childers, Eva P. , Jack, Clifford R. , Jagust, William J. , Wagner, John A. , Sivakumaran, Sudhir , Shaw, Leslie M. , Jack, Clifford R , Jagust, William J , Wagner, John A , Sivakumaran, Sudhir , Shaw, Leslie , Mahinrad, Simin , Kolb, Hartmuth C. , Sharma, Vikas Mohan

Science Translational Medicine | November 5, 2025 | Volume: 17 | Issue: 823 | Pages: No page available

10.1126/scitranslmed.adr2511 Get It

Decades of research on biomarker identification and integration in Alzheimer’s disease (AD) have helped to advance biologically driven disease models, disease subtypes, and disease-modifying treatments. Key lessons learned from AD biomarker development include the need for integration of new biological insights, investment in large cross-sectional and longitudinal studies, a multicomponent biomarker approach, and recruitment of clinical trial cohorts and biosamples that are representative of the target population. We describe how these lessons are being applied in Parkinson’s disease, Huntington’s disease, multiple sclerosis, and psychotic disorders as use cases to inform biomarker-based approaches across central nervous system disorders.
The Mutation Matters: CSF Profiles of GCase , Sphingolipids, α‐Synuclein in PD
Lerche, Stefanie , Schulte, Claudia , Wurster, Isabel , Machetanz, Gerrit , Röeben, Benjamin , Deuschle, Christian , Hauser, Ann‐Kathrin , Böhringer, Judith , Waniek, Katharina , Lachmann, Ingolf , Petterson, Xuan-Mai, Chiang, Ruby W., Liepelt‐Scarfone, Inga , Maetzler, Walter , Gasser, Thomas , Hutten, Samantha J. , Mollenhauer, Brit , Sardi, S. Pablo , Berg, Daniela , Brockmann, Kathrin , Petterson, Xuan-Mai T, Schulte, Claudia , Zimmermann, Milan , Krägeloh‐Mann, Ingeborg , Chiang, Ruby, Park, Hye Jung , Wang, Bing , Galasko, Douglas , Scherzer, Clemens R. , Mielke, Michelle M.

Movement Disorders | February 8, 2021 | Volume: 36 | Issue: 5 | Pages: 1216-1228

10.1002/mds.28472 Get It

ABSTRACT Background With pathway‐specific trials in PD associated with variants in the glucocerebrosidase gene (PD GBA ) under way, we need markers that confirm the impact of genetic variants in patient‐derived biofluids in order to allow patient stratification merely based on genetics and that might serve as biochemical read‐out for target engagement. Objective To explore GBA‐pathway‐specific biomarker profiles cross‐sectionally (TUEPAC‐MIGAP, PPMI) and longitudinally (PPMI). Methods We measured enzyme activity of the lysosomal glucocerebrosidase, CSF levels of glucosylceramides (upstream substrate of glucocerebrosidase), CSF levels of ceramides (downstream product of glucocerebrosidase), lactosylceramides, sphingosines, sphingomyelin (by‐products) and CSF levels of total α‐synuclein in PD GBA patients compared to PD GBA_wildtype patients. Results Cross‐sectionally in both cohorts and longitudinally in PPMI: (1) glucocerebrosidase activity was significantly lower in PD GBA compared to PD GBA_wildtype . (2) CSF levels of upstream substrates (glucosylceramides species) were higher in PD GBA compared to PD GBA_wildtype . (3) CSF levels of total α‐synuclein were lower in PD GBA compared to PD GBA_wildtype . All of these findings were most pronounced in PD GBA with severe mutations (PD GBA_severe ). Cross‐sectionally in TUEPAC‐MIGAP and longitudinally in PPMI, CSF levels of downstream‐products (ceramides) were higher in PD GBA_severe . Cross‐sectionally in TUEPAC‐MIGAP by‐products sphinganine and sphingosine‐1‐phosphate and longitudinally in PPMI species of by‐products lactosylceramides and sphingomyelin were higher in PD GBA_severe . Interpretation These findings confirm that GBA mutations have a relevant functional impact on biomarker profiles in patients. Bridging the gap between genetics and biochemical profiles now allows patient stratification for clinical trials merely based on mutation status. Importantly, all findings were most prominent in PD GBA with severe variants. © 2021 International Parkinson and Movement Disorder Society