Exploring cognitive and neuroimaging profiles of dementia subtypes of individuals with dementia in the Democratic Republic of Congo
ObjectiveThe 2024 Alzheimer’s Association (AA) research diagnostic criteria for Alzheimer’s Disease (AD) considers fluid biomarkers, including promising blood-based biomarkers for detecting AD. This study aims to identify dementia subtypes and their cognitive and neuroimaging profiles in older adult...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-02-01
|
| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2025.1552348/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823856563569295360 |
|---|---|
| author | Jean Ikanga Jean Ikanga Saranya Sundaram Patel Saranya Sundaram Patel Megan Schwinne Caterina Obenauf Caterina Obenauf Emmanuel Epenge Guy Gikelekele Nathan Tshengele Immaculee Kavugho Samuel Mampunza Lelo Mananga Charlotte E. Teunissen Julio C. Rojas Brandon Chan Argentina Lario Lago Joel H. Kramer Adam L. Boxer Andreas Jeromin Emile Omba Alvaro Alonso Alden L. Gross |
| author_facet | Jean Ikanga Jean Ikanga Saranya Sundaram Patel Saranya Sundaram Patel Megan Schwinne Caterina Obenauf Caterina Obenauf Emmanuel Epenge Guy Gikelekele Nathan Tshengele Immaculee Kavugho Samuel Mampunza Lelo Mananga Charlotte E. Teunissen Julio C. Rojas Brandon Chan Argentina Lario Lago Joel H. Kramer Adam L. Boxer Andreas Jeromin Emile Omba Alvaro Alonso Alden L. Gross |
| author_sort | Jean Ikanga |
| collection | DOAJ |
| description | ObjectiveThe 2024 Alzheimer’s Association (AA) research diagnostic criteria for Alzheimer’s Disease (AD) considers fluid biomarkers, including promising blood-based biomarkers for detecting AD. This study aims to identify dementia subtypes and their cognitive and neuroimaging profiles in older adults with dementia in the Democratic Republic of Congo (DRC) using biomarkers and clinical data.MethodsForty-five individuals with dementia over 65 years old were evaluated using the Community Screening Instrument for Dementia and the informant-based Alzheimer’s Questionnaire. Core AD biomarkers (Aβ42/40 and p-tau181) and non-specific neurodegeneration biomarkers (NfL, GFAP) were measured in blood plasma. Neuroimaging structures were assessed using magnetic resonance imaging (MRI). Dementia subtypes were determined based on plasma biomarker pathology and vascular markers. Biomarker cutoff scores were identified to optimize sensitivity and specificity. Individuals were stratified into one of four dementia subtypes—AD only, non-AD vascular, non-AD other, or mixed – based on combinations of abnormalities in these markers.ResultsAmong the 45 individuals with dementia, mixed dementia had the highest prevalence (42.4%), followed by AD-only (24.4%), non-AD other dementia (22.2%), and non-AD vascular dementia subtypes (11.1%). Both cognitive and neuroimaging profiles aligned poorly with biomarker classifications in the full sample. Cognitive tests varied across dementia subtypes. The cognitive profile of the AD-only and mixed groups suggested relatively low cognitive performance, while the non-AD and other groups had the best scores on average.ConclusionConsistent with studies in other settings, our preliminary findings suggest that neurodegenerative plasma biomarkers may help to identify dementia subtypes and provide insight into cognitive and neuroimaging profiles among older adults in the DRC. |
| format | Article |
| id | doaj-art-23dd2e6290e342b4a97290f884933918 |
| institution | Kabale University |
| issn | 1663-4365 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj-art-23dd2e6290e342b4a97290f8849339182025-02-12T07:25:53ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652025-02-011710.3389/fnagi.2025.15523481552348Exploring cognitive and neuroimaging profiles of dementia subtypes of individuals with dementia in the Democratic Republic of CongoJean Ikanga0Jean Ikanga1Saranya Sundaram Patel2Saranya Sundaram Patel3Megan Schwinne4Caterina Obenauf5Caterina Obenauf6Emmanuel Epenge7Guy Gikelekele8Nathan Tshengele9Immaculee Kavugho10Samuel Mampunza11Lelo Mananga12Charlotte E. Teunissen13Julio C. Rojas14Brandon Chan15Argentina Lario Lago16Joel H. Kramer17Adam L. Boxer18Andreas Jeromin19Emile Omba20Alvaro Alonso21Alden L. Gross22Department of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, United StatesDepartment of Psychiatry, School of Medicine, University of Kinshasa and Catholic University of Congo, Kinshasa, Democratic Republic of CongoDepartment of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, United StatesOne Rehab, Dallas, TX, United StatesDepartment of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United StatesDepartment of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, United StatesDepartment of Psychology, University of Tennessee, Knoxville, Knoxville, TN, United StatesMemory Clinic of Kinshasa, Kinshasa, Democratic Republic of CongoDepartment of Psychiatry, School of Medicine, University of Kinshasa and Catholic University of Congo, Kinshasa, Democratic Republic of CongoDepartment of Psychiatry, School of Medicine, University of Kinshasa and Catholic University of Congo, Kinshasa, Democratic Republic of CongoMemory Clinic of Kinshasa, Kinshasa, Democratic Republic of CongoDepartment of Psychiatry, School of Medicine, University of Kinshasa and Catholic University of Congo, Kinshasa, Democratic Republic of CongoDepartment of Neurology, University of Kinshasa, Kinshasa, Democratic Republic of CongoNeurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Neurodegeneration, Amsterdam University Medical Centers, Vrije Universitiet, Amsterdam, NetherlandsDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States0ALZpath, Inc., San Francisco, CA, United StatesDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United StatesDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United StatesDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States0ALZpath, Inc., San Francisco, CA, United States1Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States1Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States2Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United StatesObjectiveThe 2024 Alzheimer’s Association (AA) research diagnostic criteria for Alzheimer’s Disease (AD) considers fluid biomarkers, including promising blood-based biomarkers for detecting AD. This study aims to identify dementia subtypes and their cognitive and neuroimaging profiles in older adults with dementia in the Democratic Republic of Congo (DRC) using biomarkers and clinical data.MethodsForty-five individuals with dementia over 65 years old were evaluated using the Community Screening Instrument for Dementia and the informant-based Alzheimer’s Questionnaire. Core AD biomarkers (Aβ42/40 and p-tau181) and non-specific neurodegeneration biomarkers (NfL, GFAP) were measured in blood plasma. Neuroimaging structures were assessed using magnetic resonance imaging (MRI). Dementia subtypes were determined based on plasma biomarker pathology and vascular markers. Biomarker cutoff scores were identified to optimize sensitivity and specificity. Individuals were stratified into one of four dementia subtypes—AD only, non-AD vascular, non-AD other, or mixed – based on combinations of abnormalities in these markers.ResultsAmong the 45 individuals with dementia, mixed dementia had the highest prevalence (42.4%), followed by AD-only (24.4%), non-AD other dementia (22.2%), and non-AD vascular dementia subtypes (11.1%). Both cognitive and neuroimaging profiles aligned poorly with biomarker classifications in the full sample. Cognitive tests varied across dementia subtypes. The cognitive profile of the AD-only and mixed groups suggested relatively low cognitive performance, while the non-AD and other groups had the best scores on average.ConclusionConsistent with studies in other settings, our preliminary findings suggest that neurodegenerative plasma biomarkers may help to identify dementia subtypes and provide insight into cognitive and neuroimaging profiles among older adults in the DRC.https://www.frontiersin.org/articles/10.3389/fnagi.2025.1552348/fulldementiaDemocratic Republic of the Congocognitionneuroimagingbiomarkers |
| spellingShingle | Jean Ikanga Jean Ikanga Saranya Sundaram Patel Saranya Sundaram Patel Megan Schwinne Caterina Obenauf Caterina Obenauf Emmanuel Epenge Guy Gikelekele Nathan Tshengele Immaculee Kavugho Samuel Mampunza Lelo Mananga Charlotte E. Teunissen Julio C. Rojas Brandon Chan Argentina Lario Lago Joel H. Kramer Adam L. Boxer Andreas Jeromin Emile Omba Alvaro Alonso Alden L. Gross Exploring cognitive and neuroimaging profiles of dementia subtypes of individuals with dementia in the Democratic Republic of Congo Frontiers in Aging Neuroscience dementia Democratic Republic of the Congo cognition neuroimaging biomarkers |
| title | Exploring cognitive and neuroimaging profiles of dementia subtypes of individuals with dementia in the Democratic Republic of Congo |
| title_full | Exploring cognitive and neuroimaging profiles of dementia subtypes of individuals with dementia in the Democratic Republic of Congo |
| title_fullStr | Exploring cognitive and neuroimaging profiles of dementia subtypes of individuals with dementia in the Democratic Republic of Congo |
| title_full_unstemmed | Exploring cognitive and neuroimaging profiles of dementia subtypes of individuals with dementia in the Democratic Republic of Congo |
| title_short | Exploring cognitive and neuroimaging profiles of dementia subtypes of individuals with dementia in the Democratic Republic of Congo |
| title_sort | exploring cognitive and neuroimaging profiles of dementia subtypes of individuals with dementia in the democratic republic of congo |
| topic | dementia Democratic Republic of the Congo cognition neuroimaging biomarkers |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2025.1552348/full |
| work_keys_str_mv | AT jeanikanga exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT jeanikanga exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT saranyasundarampatel exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT saranyasundarampatel exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT meganschwinne exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT caterinaobenauf exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT caterinaobenauf exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT emmanuelepenge exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT guygikelekele exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT nathantshengele exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT immaculeekavugho exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT samuelmampunza exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT lelomananga exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT charlotteeteunissen exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT juliocrojas exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT brandonchan exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT argentinalariolago exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT joelhkramer exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT adamlboxer exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT andreasjeromin exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT emileomba exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT alvaroalonso exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo AT aldenlgross exploringcognitiveandneuroimagingprofilesofdementiasubtypesofindividualswithdementiainthedemocraticrepublicofcongo |