Background: Alzheimer’s disease (AD) disproportionately affects Black/African American (B/AA) older adults, yet this group remains underrepresented in research. Traditional neuropsychological assessments, often developed on predominantly White populations, may not be reliable for B/AA individuals. The Loewenstein-Acevedo Scales for Semantic Interference and Learning (LASSI-L) have been shown to effectively differentiate individuals with amnestic mild cognitive impairment (aMCI) from cognitively unimpaired (CU) individuals. This study examines the relationship between LASSI-L performance and plasma p-tau217 levels to explore early detection methods for AD in B/AA populations. Methods: Fifty-six older adults received clinical and cognitive evaluations and were deemed cognitively unimpaired (CU) and p-tau217 negative (n = 35) or met criteria for amnestic mild cognitive impairment (aMCI) and p-tau217 positive (n = 21). All participants were administered the LASSI-L to compare groups, but it was not used for group allocation to avoid circularity. Results: After adjusting for age and MMSE score, the aMCI p-tau217+ group performed significantly worse than the CU p-tau217- group on both free recall on List B (Free B1 Recall) and frPSI (correct responses on Cued B2). These differences remained statistically significant after covariate adjustment (p < 0.001). In addition, four other outcomes remained statistically significant following covariate adjustment: the aMCI p-tau217+ group exhibited a higher percentage of intrusion errors (PIE) on both Cued B1 and Cued B2, along with poorer performance on maximal learning ability (Cued A2) and PSI (correct responses on Cued B1). However, after applying the Bonferroni correction, only PIE on Cued B2 remained statistically significant among these measures. Notably, performance on LASSI-L Free B1 Recall and PIE for List Cued B2 were significant predictors distinguishing aMCI p-tau217+ from CU p-tau217- groups, with high sensitivity (80%) and specificity (91.7%). ROC analysis of these predictors yielded an area under the curve of 0.872 (SE = 0.055; p < 0.001), with a 95% confidence interval ranging from 0.765 to 0.979. Conclusion: The study highlights the utility of the LASSI-L in conjunction with plasma biomarkers, particularly p-tau217, for early AD detection in B/AA older adults. The LASSI-L demonstrated strong sensitivity to cognitive impairment, effectively differentiating between CU
References
[1]
Kornblith, E., Bahorik, A., Boscardin, W.J., Xia, F., Barnes, D.E. and Yaffe, K. (2022) Association of Race and Ethnicity with Incidence of Dementia among Older Adults. JAMA, 327, 1488-1495. https://doi.org/10.1001/jama.2022.3550
[2]
Rosselli, M., Uribe, I.V., Ahne, E. and Shihadeh, L. (2022) Culture, Ethnicity, and Level of Education in Alzheimer’s Disease. Neurotherapeutics, 19, 26-54. https://doi.org/10.1007/s13311-022-01193-z
[3]
Rigby, T., Gregoire, A.M., Reader, J., Kahsay, Y., Fisher, J., Kairys, A., et al. (2024) Identification of Amnestic Mild Cognitive Impairment among Black and White Community-Dwelling Older Adults Using NIH Toolbox Cognition Tablet Battery. Journal of the International Neuropsychological Society, 30, 689-696. https://doi.org/10.1017/s1355617724000213
[4]
Barnes, L.L., Wilson, R.S., Li, Y., Aggarwal, N.T., Gilley, D.W., McCann, J.J., et al. (2005) Racial Differences in the Progression of Cognitive Decline in Alzheimer Disease. The American Journal of Geriatric Psychiatry, 13, 959-967. https://doi.org/10.1097/00019442-200511000-00006
[5]
Barnes, L.L. and Bennett, D.A. (2014) Alzheimer’s Disease in African Americans: Risk Factors and Challenges for the Future. Health Affairs, 33, 580-586. https://doi.org/10.1377/hlthaff.2013.1353
[6]
Loewenstein, D.A., Curiel, R.E., Duara, R. and Buschke, H. (2017) Novel Cognitive Paradigms for the Detection of Memory Impairment in Preclinical Alzheimer’s Disease. Assessment, 25, 348-359. https://doi.org/10.1177/1073191117691608
[7]
Crocco, E.A., Loewenstein, D.A., Curiel, R.E., Alperin, N., Czaja, S.J., Harvey, P.D., et al. (2018) A Novel Cognitive Assessment Paradigm to Detect Pre-Mild Cognitive Impairment (PreMCI) and the Relationship to Biological Markers of Alzheimer’s Disease. Journal of Psychiatric Research, 96, 33-38. https://doi.org/10.1016/j.jpsychires.2017.08.015
[8]
Cid, R.E.C. and Loewenstein, D.A. (2022) Salient Cognitive Paradigms to Assess Preclinical Alzheimer’s Disease. Neurotherapeutics, 19, 89-98. https://doi.org/10.1007/s13311-022-01192-0
[9]
Sierra, L.A., Hughes, S.B., Ullman, C.J., Hall, A., Pandeya, S.R., Schubert, R., et al. (2023) LASSI-L Detects Early Cognitive Changes in Pre-Motor Manifest Huntington’s Disease: A Replication and Validation Study. Frontiers in Neurology, 14, Article 1191718. https://doi.org/10.3389/fneur.2023.1191718
[10]
Loewenstein, D.A., Curiel, R.E., Wright, C., Sun, X., Alperin, N., Crocco, E., et al. (2017) Recovery from Proactive Semantic Interference in Mild Cognitive Impairment and Normal Aging: Relationship to Atrophy in Brain Regions Vulnerable to Alzheimer’s Disease. Journal of Alzheimer’s Disease, 56, 1119-1126. https://doi.org/10.3233/jad-160881
[11]
Matías-Guiu, J.A., Curiel, R.E., Rognoni, T., Valles-Salgado, M., Fernández-Matarrubia, M., Hariramani, R., et al. (2016) Validation of the Spanish Version of the LASSI-L for Diagnosing Mild Cognitive Impairment and Alzheimer’s Disease. Journal of Alzheimer’s Disease, 56, 733-742. https://doi.org/10.3233/jad-160866
[12]
Curiel Cid, R.E., Loewenstein, D.A., Rosselli, M., Matias‐Guiu, J.A., Piña, D., Adjouadi, M., et al. (2019) A Cognitive Stress Test for Prodromal Alzheimer’s Disease: Multiethnic Generalizability. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 11, 550-559. https://doi.org/10.1016/j.dadm.2019.05.003
[13]
Capp, K.E., Curiel Cid, R.E., Crocco, E.A., Stripling, A., Kitaigorodsky, M., Sierra, L.A., et al. (2019) Semantic Intrusion Error Ratio Distinguishes between Cognitively Impaired and Cognitively Intact African American Older Adults. Journal of Alzheimer’s Disease, 73, 785-790. https://doi.org/10.3233/jad-191022
[14]
Ashton, N.J., Brum, W.S., Di Molfetta, G., Benedet, A.L., Arslan, B., Jonaitis, E., et al. (2024) Diagnostic Accuracy of a Plasma Phosphorylated Tau 217 Immunoassay for Alzheimer Disease Pathology. JAMA Neurology, 81, 255-263. https://doi.org/10.1001/jamaneurol.2023.5319
[15]
Doecke, J.D., Pérez-Grijalba, V., Fandos, N., Fowler, C., Villemagne, V.L., Masters, C.L., et al. (2020) Total Aβ42/Aβ40 Ratio in Plasma Predicts Amyloid-Pet Status, Independent of Clinical AD Diagnosis. Neurology, 94, e1580-e1591. https://doi.org/10.1212/wnl.0000000000009240
[16]
Mundada, N.S., Rojas, J.C., Vandevrede, L., Thijssen, E.H., Iaccarino, L., Okoye, O.C., et al. (2023) Head-to-Head Comparison between Plasma P-Tau217 and Flortaucipir-PET in Amyloid-Positive Patients with Cognitive Impairment. Alzheimer’s Research & Therapy, 15, Article No. 157. https://doi.org/10.1186/s13195-023-01302-w
[17]
Lehmann, S., Schraen-Maschke, S., Vidal, J., Delaby, C., Buee, L., Blanc, F., et al. (2024) Clinical Value of Plasma ALZpath pTau217 Immunoassay for Assessing Mild Cognitive Impairment. Journal of Neurology, Neurosurgery & Psychiatry, 95, 1046-1053. https://doi.org/10.1136/jnnp-2024-333467
[18]
Jonaitis, E.M., et al. (2022) Plasma pTau-217 in Preclinical Alzheimer’s Disease. medRxiv 2022.06.09.22276206. https://doi.org/10.1101/2022.06.09.22276206.
[19]
Bennett, D.A., Schneider, J.A., Arvanitakis, Z., Kelly, J.F., Aggarwal, N.T., Shah, R.C., et al. (2006) Neuropathology of Older Persons without Cognitive Impairment from Two Community-Based Studies. Neurology, 66, 1837-1844. https://doi.org/10.1212/01.wnl.0000219668.47116.e6
[20]
Knopman, D.S., Parisi, J.E., Salviati, A., Floriach-Robert, M., Boeve, B.F., Ivnik, R.J., et al. (2003) Neuropathology of Cognitively Normal Elderly. Journal of Neuropathology & Experimental Neurology, 62, 1087-1095. https://doi.org/10.1093/jnen/62.11.1087
[21]
Grøntvedt, G.R., Schröder, T.N., Sando, S.B., White, L., Bråthen, G. and Doeller, C.F. (2018) Alzheimer’s Disease. Current Biology, 28, R645-R649. https://doi.org/10.1016/j.cub.2018.04.080
[22]
Gurland, B.J., Wilder, D.E., Lantigua, R., Stern, Y., Chen, J., Killeffer, E.H.P., et al. (1999) Rates of Dementia in Three Ethnoracial Groups. International Journal of Geriatric Psychiatry, 14, 481-493. https://doi.org/10.1002/(sici)1099-1166(199906)14:6<481::aid-gps959>3.0.co;2-5
[23]
Potter, G.G., Plassman, B.L., Burke, J.R., Kabeto, M.U., Langa, K.M., Llewellyn, D.J., et al. (2009) Cognitive Performance and Informant Reports in the Diagnosis of Cognitive Impairment and Dementia in African Americans and Whites. Alzheimer’s & Dementia, 5, 445-453. https://doi.org/10.1016/j.jalz.2009.04.1234
[24]
Reitan, R.M. (1958) Validity of the Trail Making Test as an Indicator of Organic Brain Damage. Perceptual and Motor Skills, 8, 271-276. https://doi.org/10.2466/pms.1958.8.3.271
[25]
Manly, J.J., Jones, R.N., Langa, K.M., Ryan, L.H., Levine, D.A., McCammon, R., et al. (2022) Estimating the Prevalence of Dementia and Mild Cognitive Impairment in the US. The 2016 Health and Retirement Study Harmonized Cognitive Assessment Protocol Project. JAMA Neurology, 79, 1242-1249. https://doi.org/10.1001/jamaneurol.2022.3543
[26]
Loewenstein, D.A., Curiel, R.E., Greig, M.T., Bauer, R.M., Rosado, M., Bowers, D., et al. (2016) A Novel Cognitive Stress Test for the Detection of Preclinical Alzheimer Disease: Discriminative Properties and Relation to Amyloid Load. The American Journal of Geriatric Psychiatry, 24, 804-813. https://doi.org/10.1016/j.jagp.2016.02.056
[27]
Loewenstein, D.A., Curiel, R.E., DeKosky, S., Bauer, R.M., Rosselli, M., Guinjoan, S.M., et al. (2018) Utilizing Semantic Intrusions to Identify Amyloid Positivity in Mild Cognitive Impairment. Neurology, 91, e976-e984. https://doi.org/10.1212/wnl.0000000000006128
[28]
Curiel, R.E., Loewenstein, D.A., Rosselli, M., Penate, A., Greig-Custo, M.T., Bauer, R.M., et al. (2018) Semantic Intrusions and Failure to Recover from Semantic Interference in Mild Cognitive Impairment: Relationship to Amyloid and Cortical Thickness. Current Alzheimer Research, 15, 848-855. https://doi.org/10.2174/1567205015666180427122746
[29]
Kitaigorodsky, M., Curiel Cid, R.E., Crocco, E., Gorman, K.L., González-Jiménez, C.J., Greig-Custo, M., et al. (2021) Changes in LASSI-L Performance over Time among Older Adults with Amnestic MCI and Amyloid Positivity: A Preliminary Study. Journal of Psychiatric Research, 143, 98-105. https://doi.org/10.1016/j.jpsychires.2021.08.033
[30]
American Psychiatric Association (2022) Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR). American Psychiatric Association. https://doi.org/10.1176/appi.books.9780890425787
[31]
Brandt, J. (1991) The Hopkins Verbal Learning Test: Development of a New Memory Test with Six Equivalent Forms. Clinical Neuropsychologist, 5, 125-142. https://doi.org/10.1080/13854049108403297
[32]
Beekly, D.L., Ramos, E.M., Lee, W.W., Deitrich, W.D., Jacka, M.E., Wu, J., et al. (2007) The National Alzheimer’s Coordinating Center (NACC) Database: The Uniform Data Set. Alzheimer Disease & Associated Disorders, 21, 249-258. https://doi.org/10.1097/wad.0b013e318142774e
[33]
Binetti, G., Magni, E., Cappa, S.F., Padovani, A., Bianchetti, A. and Trabucchi, M. (1995) Semantic Memory in Alzheimer’s Disease: An Analysis of Category Fluency. Journal of Clinical and Experimental Neuropsychology, 17, 82-89. https://doi.org/10.1080/13803399508406584
[34]
Golden, C., Freshwater, S.M. and Golden, Z. (1978) Stroop Color and Word Test. https://doi.org/10.1037/t06065-000
[35]
Reitan, R.M. (1958) Validity of the Trail Making Test as an Indicator of Organic Brain Damage. Perceptual and Motor Skills, 8, 271-276. https://doi.org/10.2466/pms.1958.8.3.271
[36]
Asken, B.M., DeSimone, J.C., Wang, W., McFarland, K.N., Arias, F., Levy, S., et al. (2024) Plasma P‐Tau217 Concordance with Amyloid PET among Ethnically Diverse Older Adults. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 16, e12617. https://doi.org/10.1002/dad2.12617
[37]
Crocco, E., Curiel, R.E., Acevedo, A., Czaja, S.J. and Loewenstein, D.A. (2014) An Evaluation of Deficits in Semantic Cueing and Proactive and Retroactive Interference as Early Features of Alzheimer’s Disease. The American Journal of Geriatric Psychiatry, 22, 889-897. https://doi.org/10.1016/j.jagp.2013.01.066
[38]
Curiel, R.E., Crocco, E., Acevedo, A., Duara, R., Agron, J. and Loewenstein, D.A. (2013) A New Scale for the Evaluation of Proactive and Retroactive Interference in Mild Cognitive Impairment and Early Alzheimer’s Disease. Aging, 1, Article 1000102.
[39]
Matias-Guiu, J.A., Cabrera-Martín, M.N., Curiel, R.E., Valles-Salgado, M., Rognoni, T., Moreno-Ramos, T., et al. (2017) Comparison between FCSRT and LASSI-L to Detect Early Stage Alzheimer’s Disease. Journal of Alzheimer’s Disease, 61, 103-111. https://doi.org/10.3233/jad-170604
[40]
Sánchez, S.M., Abulafia, C., Duarte-Abritta, B., de Guevara, M.S.L., Castro, M.N., Drucaroff, L., et al. (2017) Failure to Recover from Proactive Semantic Interference and Abnormal Limbic Connectivity in Asymptomatic, Middle-Aged Offspring of Patients with Late-Onset Alzheimer’s Disease. Journal of Alzheimer’s Disease, 60, 1183-1193. https://doi.org/10.3233/jad-170491
[41]
Curiel Cid, R.E., Crocco, E.A., Duara, R., Garcia, J.M., Rosselli, M., DeKosky, S.T., et al. (2020) A Novel Method of Evaluating Semantic Intrusion Errors to Distinguish between Amyloid Positive and Negative Groups on the Alzheimer’s Disease Continuum. Journal of Psychiatric Research, 124, 131-136. https://doi.org/10.1016/j.jpsychires.2020.02.008
[42]
Crocco, E.A., Curiel Cid, R., Kitaigorodsky, M., Grau, G.A., Garcia, J.M., Duara, R., et al. (2021) Intrusion Errors and Progression of Cognitive Deficits in Older Adults with Mild Cognitive Impairment and PreMCI States. Dementia and Geriatric Cognitive Disorders, 50, 135-142. https://doi.org/10.1159/000512804