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Vitamin D and Folate as Predictors of MMSE in Alzheimer's Disease: A Machine Learning Analysis.
Murdaca, Giuseppe; Banchero, Sara; Tonacci, Alessandro; Nencioni, Alessio; Monacelli, Fiammetta; Gangemi, Sebastiano.
Affiliation
  • Murdaca G; Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy.
  • Banchero S; Ospedale Policlinico San Martino IRCCS, 16132 Genoa, Italy.
  • Tonacci A; Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy.
  • Nencioni A; Ospedale Policlinico San Martino IRCCS, 16132 Genoa, Italy.
  • Monacelli F; Clinical Physiology Institute, National Research Council of Italy (IFC-CNR), 56124 Pisa, Italy.
  • Gangemi S; Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy.
Diagnostics (Basel) ; 11(6)2021 May 24.
Article in En | MEDLINE | ID: mdl-34073931
ABSTRACT
Vitamin D (VD) and micronutrients, including folic acid, are able to modulate both the innate and the adaptive immune responses. Low VD and folic acid levels appear to promote cognitive decline as in Alzheimer's disease (AD). A machine learning approach was applied to analyze the impact of various compounds, drawn from the blood of AD patients, including VD and folic acid levels, on the Mini-Mental State Exam (MMSE) in a cohort of 108 patients with AD. The first analysis was aimed at predicting the MMSE at recruitment, whereas a second investigation sought to predict the MMSE after a 4 year follow-up. The simultaneous presence of low levels of VD and folic acid allow to predict MMSE, suggestive of poorer cognitive function. Such results suggest that the low levels of VD and folic acid could be associated with more severe cases of cognitive impairment in AD. It could be hypothesized that simultaneous supplementation of VD and folic acid could slow down the progression of cerebral degeneration at least in a subset of AD individuals.
Key words

Full text: 1 Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Diagnostics (Basel) Year: 2021 Type: Article Affiliation country: Italy

Full text: 1 Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Diagnostics (Basel) Year: 2021 Type: Article Affiliation country: Italy