Uncovering Lipid Biomarkers Linked to Methylphenidate Efficacy in Treating Apathy in Alzheimer's Disease: Insights from the ADMET 2 trial

Abstract Background Apathy is a prevalent neuropsychiatric symptom (NPS) in Alzheimer's disease (AD), linked to functional impairment and reduced quality of life. The Apathy in Dementia Methylphenidate Trial 2 (ADMET‐2) found modest efficacy of methylphenidate (MPH) for treating apathy, but treatment responses varied. This highlights the need for biomarkers to personalize treatments. Lipidomic profiling offers a promising approach by providing insights into the molecular basis of treatment response. Beyond their structural role in cell membranes, lipids serve as bioactive signaling molecules essential to neurotransmission, neuroinflammation, and synaptic plasticity—processes disrupted in NPS and AD. This study aimed to identify lipid species associated with MPH treatment response and explore lipid pathway disruptions in responders versus non‐responders. Method Participants randomized to MPH in ADMET‐2 were analyzed. Responders were defined by a 4‐point improvement on the Neuropsychiatric Inventory Apathy subscale (NPI‐A). Baseline plasma samples underwent lipidomic profiling. Partial Least Squares Discriminant Analysis (PLS‐DA) was used to identify lipid species distinguishing responders from non‐responders, with model performance evaluated by area under the curve (AUC). Identified lipid species were analyzed in MetaboAnalyst for pathway enrichment. Result A total of 45 participants were included, with 28 classified as responders. The PLS‐DA model achieved robust discrimination between responders and non‐responders, with an AUC of 0.81, indicating good predictive performance. Pathway analysis in MetaboAnalyst revealed disruption in lipid pathways related to ceramide, phosphospingolipid, and glycosphingolipid metabolism. Conclusion This study demonstrates the utility of lipidomic profiling in identifying biomarkers of response to MPH in AD patients with apathy. The observed disruptions in ceramide, phosphosphingolipid, and glycosphingolipid metabolism suggest a role for sphingolipid signaling which could have effects on neurotransmission, neuroinflammation, and synaptic plasticity—key processes implicated in NPS and AD. The identified lipidomic species and pathways offer insights into the molecular mechanisms underlying treatment response and could inform future biomarker‐guided interventions.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_105185
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Uncovering Lipid Biomarkers Linked to Methylphenidate Efficacy in Treating Apathy in Alzheimer's Disease: Insights from the ADMET 2 trial

Suzanne Craft, Norman J. Haughey, Krista L. Lanctôt, P. Rosenberg et al.
Alzheimer s & Dementia
Alzheimer's disease research and treatments
article

Uncovering Lipid Biomarkers Linked to Methylphenidate Efficacy in Treating Apathy in Alzheimer's Disease: Insights from the ADMET 2 trial

Suzanne Craft, Norman J. Haughey, Krista L. Lanctôt, P. Rosenberg, A B Lerner, David Shade, Prasad R. Padala, Jacobo Mintzer, Myuri Ruthirakuhan, Anton P. Porsteinsson, Allan I. Levey, Nathan Herrmann, Christopher H van Dyck, Maya Mills
article en

Abstract

Abstract Background Apathy is a prevalent neuropsychiatric symptom (NPS) in Alzheimer's disease (AD), linked to functional impairment and reduced quality of life. The Apathy in Dementia Methylphenidate Trial 2 (ADMET‐2) found modest efficacy of methylphenidate (MPH) for treating apathy, but treatment responses varied. This highlights the need for biomarkers to personalize treatments. Lipidomic profiling offers a promising approach by providing insights into the molecular basis of treatment response. Beyond their structural role in cell membranes, lipids serve as bioactive signaling molecules essential to neurotransmission, neuroinflammation, and synaptic plasticity—processes disrupted in NPS and AD. This study aimed to identify lipid species associated with MPH treatment response and explore lipid pathway disruptions in responders versus non‐responders. Method Participants randomized to MPH in ADMET‐2 were analyzed. Responders were defined by a 4‐point improvement on the Neuropsychiatric Inventory Apathy subscale (NPI‐A). Baseline plasma samples underwent lipidomic profiling. Partial Least Squares Discriminant Analysis (PLS‐DA) was used to identify lipid species distinguishing responders from non‐responders, with model performance evaluated by area under the curve (AUC). Identified lipid species were analyzed in MetaboAnalyst for pathway enrichment. Result A total of 45 participants were included, with 28 classified as responders. The PLS‐DA model achieved robust discrimination between responders and non‐responders, with an AUC of 0.81, indicating good predictive performance. Pathway analysis in MetaboAnalyst revealed disruption in lipid pathways related to ceramide, phosphospingolipid, and glycosphingolipid metabolism. Conclusion This study demonstrates the utility of lipidomic profiling in identifying biomarkers of response to MPH in AD patients with apathy. The observed disruptions in ceramide, phosphosphingolipid, and glycosphingolipid metabolism suggest a role for sphingolipid signaling which could have effects on neurotransmission, neuroinflammation, and synaptic plasticity—key processes implicated in NPS and AD. The identified lipidomic species and pathways offer insights into the molecular mechanisms underlying treatment response and could inform future biomarker‐guided interventions.

Alzheimer s & DementiaVol. 21(S2)
Sunnybrook Health Science Centre (CA), Johns Hopkins University (US), Emory University (US), Medical University of South Carolina (US), University of Toronto (CA), Johns Hopkins Medicine (US), Yale University (US), University School (US), Sunnybrook Research Institute, Wake Forest University (US), University of Rochester (US), Case Western Reserve University (US), University of Arkansas for Medical Sciences (US)
Reduced inequalities
Openalex Percentile: Top 31%
Alzheimer's disease research and treatments
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