Biomarcadores para diagnóstico e prognóstico de Alzheimer
DOI:
https://doi.org/10.36414/rbmc.v12i26.211Palavras-chave:
Biomarcadores, Alzheimer, PrognósticoResumo
A Doença de Alzheimer (DA) é a principal causa de demência no mundo, caracterizada por processos neurodegenerativos progressivos que comprometem cognição, comportamento e funcionalidade. O diagnóstico precoce permanece desafiador, pois os métodos tradicionais, como análise de líquido cefalorraquidiano e exames de imagem, embora considerados referência, são invasivos, caros e pouco acessíveis em larga escala. Nesse contexto, os biomarcadores periféricos emergem como alternativas promissoras por aliarem menor invasividade, maior viabilidade clínica e potencial para refletir alterações neuropatológicas precoces. O presente estudo objetivou realizar uma revisão da literatura sobre os principais biomarcadores aplicados ao diagnóstico e prognóstico do Alzheimer, incluindo também estudos que avaliem intervenções, como o uso de probióticos, desde que estejam diretamente relacionados à modulação de biomarcadores associados à fisiopatologia, progressão ou detecção precoce da doença. Trata-se de uma revisão integrativa da literatura com base no modelo PRISMA, com seleção de estudos nas bases de dados Portal de Periódicos da PubMed/Medline, Scielo e Biblioteca Virtual em Saúde, empregando os descritores: Alzheimer, biomarcadores, probióticos, em português e inglês, no período de 2019 a 2024. Esta revisão evidencia que os biomarcadores representam ferramentas fundamentais para o diagnóstico precoce e o prognóstico da DA. Enquanto os exames do líquor e de imagem permanecem como padrão, avanços em marcadores periféricos, como p-tau, NfL, GFAP e citocinas inflamatórias, ampliam as possibilidades de aplicação clínica por serem menos invasivos e mais acessíveis. Além disso, estratégias como a suplementação com probióticos e kefir mostram potencial em modular processos relacionados à neuroinflamação e ao estresse oxidativo, sugerindo caminhos promissores para futuras intervenções terapêuticas. A integração entre biomarcadores clássicos, periféricos e inovadores, aponta para um modelo de medicina personalizada e preventiva, essencial para o enfrentamento da DA.
Downloads
Referências
Livingston G, Huntley J, Sommerlad A, Ames D, Ballard C, Banerjee S, et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet. 2020;396(10248):413-46.
Vermesan D, Popescu BO. Biomarkers for Alzheimer’s disease diagnosis. J Med Life. 2020;13(2):223-7.
Zhang X, Li Y, Wang Z. Tau em doenças neurodegenerativas: mecanismos moleculares, biomarcadores e estratégias terapêuticas. Front Neurol. 2024;15:1-15.
Kosenko EA, Solomadin IN, Tikhonova LA, Reddy VP, Aliev G, Kaminsky YG. Pathogenesis of Alzheimer disease: role of oxidative stress in the amyloid cascade. Neurochem Int. 2014;62(5):719-32.
Jack CR, Bennett DA, Blennow K, Carrillo MC, Dunn B, Haeberlein SB, et al. NIA-AA Research Framework: Toward a biological definition of Alzheimer’s disease. Alzheimers Dement. 2018;14(4):535-62.
Studart-Neto A, et al. Uso e interpretação de biomarcadores da doença de Alzheimer na prática clínica no Brasil. Dement Neuropsychol. 2024;18(1):12-26.
Janelidze S, Mattsson N, Palmqvist S, Smith R, Beach TG, Serrano GE, et al. Plasma P-tau181 in Alzheimer’s disease: relationship to other biomarkers, differential diagnosis, neuropathology and longitudinal progression to Alzheimer’s dementia. Nat Med. 2020;26(3):379-86.
Leuzy A, Cullen N, Mattsson-Carlgren N, Palmqvist S, Janelidze S, Dage JL, et al. Blood-based biomarkers for Alzheimer’s disease. EMBO Mol Med. 2022;14(1):e14408.
Benedet AL, Ashton NJ, Pascoal TA, Leuzy A, Mathotaarachchi S, Kang MS, et al. Plasma GFAP is an early marker of amyloid-β but not tau pathology in Alzheimer’s disease. Brain. 2021;144(12):3505-16.
Lovell MA, Markesbery WR. Oxidative DNA damage in mild cognitive impairment and late-stage Alzheimer’s disease. Nucleic Acids Res. 2007;35(22):7497-504.
Silva YP, Bernardi A, Frozza RL. The role of short-chain fatty acids from gut microbiota in gut-brain communication. Front Endocrinol. 2020;11:25.
Hampel H, Vergallo A, Aguilar LF, Benda N, Broich K, Cuello AC, et al. Precision medicine and the future of individualized Alzheimer’s disease therapy: integratin proteomics, genomics, and biomarkers into clinical practice. Alzheimers Dement. 2021;17(4):593-609.
Janelidze S, Mattsson-Carlgren N, Palmqvist S, Zetterberg H, Hansson O. Plasma P-tau217 as a biomarker for Alzheimer’s disease: a diagnostic performance study. Lancet Neurol. 2020;19(5):422-33.
Hanseeuw BJ, et al. Longitudinal plasma p-tau217 and Alzheimer disease progression. Nat Med. 2022;28(1):154-63.
Bellenguez C, et al. New insights into the genetic etiology of Alzheimer’s disease and related dementias. Nat Genet. 2022;54;412-36.
Goate A, Chartier-Harlin MC, Mullan M, Brown J, Crawford F, Fidani L, et al. Segregation of missense mutation in the amyloid precursor protein gene with familial Alzheimer’s disease. Nature. 1991;349:704-6.
Corder EH, Saunders Am, Strittmatter WJ, Schmechel DE, Gaskell PC, Small GW, et al. Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer’s disease in late onset families. Science. 1993;261(5123):921-3.
Palomino A, Karch CM. Genetic risk factors for Alzheimer’s disease. Cold Spring Harb Perspect Med. 2021;11(4):a039602.
Van Cauwenberghe C, Van Broeckhoven C, Sleegers K. The genetic landscape of Alzheimer disease: clinical implications and perspectives. Genet Med. 2016;18(5):421-30.
Moscoso A, Grothe MJ, Ashton NJ, Karikari TK, Lantero-Rodriguez J, Snellman A, et al. Time course of phosphorylated-tau181 in blood across the Alzheimer’s disease spectrum. Brain. 2021;144(1):325-39.
Preische O, Schultz SA, Apel A, Kuhle J, Kaeser SA, Barro C, et al. Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease. Nat Med. 2019;25(2):277-83.
Yuyama K, Sun H, Mitsutake S, Igarashi Y. Sphingolipid-modulated exosome secretion promotes clearance of amyloid-β by microglia. J Biol Chem. 2012;287(14):10977-89.
Fiandaca MS, Kapogiannis D, Mapstone M, Boxer A, Eitan E, Schwartz JB, et al. Identification of preclinical Alzheimer’s disease by a profile of exosomal biomarkers. J Alzheimers Dis. 2015;47(3):633-44.
Goetzl EJ, Mustapic M, Kapogiannis D, Eitan E, Lobach IV, Goetzl L, et al. Neuronal-derived exosome biomarkers track cognitive decline in Alzheimer’s disease. Alzheimers Dement. 2016;12(5):644-53.
Kapogiannis D, Boxer A, Schwartz JB, Abner El, Biragyn A, Masharani U, et al. Dysfunctionally phosphorylated tau as a potential biomarker for Alzheimer’s disease and other tauopathies. Front Neurol. 2019;10:132.
Kojima R, Bojar D, Rizzi G, Hamri GC-E, El-Baba MD, Saxena P, et al. Designer exosomes produced by implanted cells intracerebrally deliver therapeutic cargo for Parkinson’s disease. Nat Commun. 2018;9:1305.
Delay C, Mandemakers W, Hébert SS. MicroRNAs in Alzheimer’s disease. Neurobiol Dis. 2012;46(2):285-90.
Lau P, Bossers K, Janky R, Salta E, Frigerio CS, Barbash S, et al. Alteration of the microRNA network during the progression of Alzheimer’s disease. EMBO Mol Med. 2013;5(10):1613-34.
Kiko T, Nakagawa K, Tsuduki T, Furukawa K, Arai H, Miyazawa T. MicroRNAs in plasma and cerebrospinal fluid as potential markers for Alzheimer’s disease. J Alzheimers Dis. 2014;39(2):253-9.
Sheinerman KS, Umansky SR. Circulating cell-free microRNA as biomarkers for screening, diagnosis and monitoring of neurodegenerative diseases and other neurologic pathologies. Front Cell Neurosci. 2013;7:150.
Cha DJ, Mengel D, Mustapic M, Liu W, Selkoe DJ, Kapogiannis D, et al. miRNA-mediated neurodegeneration and exosome-based biomarkers in Alzheimer’s disease. Neurobiol Aging. 2019;74:226-34.
Hansson O, Mikulskis A, Fagan AM, Teunissen C, Zetterberg H, Vanderstichele H, et al. The impact of pre-analytical variables on measuring cerebrospinal fluid biomarkers for Alzheimer’s disease diagnosis: a review. Alzheimers Dement. 2018;14(10):1313-33.
Mattsson N, Andreasson U, Persson S, Arai H, Batish SD, Bernardini S, et al. The Alzheimer’s Association external quality control program for cerebrospinal fluid biomarkers. Alzheimers Dement. 2011;7(4):386-95.
Schindler SE, Bollinger JG, Ovod V, Mawuenyega KG, Li Y, Gordon BA, et al. High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis. Neurology. 2019;93(17):e1647-59.
Cryan JF, O’Riordan KJ, Cowan CS, Sandhu KV, Bastiaanssen TF, Boehme M, et al. The microbiota-gut-brain axis. Physiol Rev. 2019;99(4):1877-2013.
Vogt NM, Kerby RL, Dill-McFarland KA, Harding SJ, Merluzzi AP, Johnson SC, et al. Gut microbiome alterations in Alzheimer’s disease. Sci Transl Med. 2017;9(377):eaao5774.
Xu R, Wang Q. Towards understanding brain–gut–microbiome connections in Alzheimer’s disease. BMC Syst Biol. 2016;10(Suppl 3):63.
Zhan X, Stamova B, Jin LW, Wu Y, Zheng H, Ander BP, et al. Gram-negative bacterial molecules associate with Alzheimer disease pathology. Neurology. 2016;87(22):2324-32.
Kobayashi Y, Sugahara H, Shimada K, Mitsuyama E, Kuhara T, Yasuoka A, et al. Therapeutic potential of Bifidobacterium breve strain A1 for preventing cognitive impairment in Alzheimer’s disease. Sci Rep. 2017;7:1351.
Chen C, Ahn EH, Kang SS, Liu X, Alam A, Ye K. Gut dysbiosis contributes to amyloid pathology, associated with C/EBPβ/AEP signaling pathway in Alzheimer’s disease mouse model. Sci Adv. 2020;6(31):eaba0466.
Carro E, Bartolome F, Bermejo-Pareja F, Villarejo-Galende A, Molina JA, Ortiz P, et al. Early diagnosis of mild cognitive impairment and Alzheimer’s disease based on salivary lactoferrin. Alzheimers Dement (Amst). 2017;8:131-8.
Sabbagh MN, Shi J, Lee M, Arnold L, Al-Hasan Y, Roher AE, et al. Salivary tau species are potential biomarkers for Alzheimer’s disease. J Alzheimers Dis. 2018;64(1):1085-93.
Bermejo-Pareja F, Antequera D, Vargas T, Molina JA, Carro E. Saliva levels of Abeta1-42 as potential biomarker of Alzheimer’s disease: a pilot study. BMC Neurol. 2010;10:108.
Gleerup HS, Hasselbalch SG, Simonsen AH. Biomarkers for Alzheimer’s disease in saliva: a systematic review. Dis Markers. 2019;2019:4761054.
Tsuruoka M, Tsuruoka T, Suzuki T, Nagao K, Ohkawa H, Ito S, et al. Urinary formic acid is a potential marker of Alzheimer’s disease. Clin Chim Acta. 2021;514:32-8.
Gao Y, Tan L, Yu JT, Tan L. Biomarkers for Alzheimer’s disease: urine and beyond. J Mol Neurosci. 2018;64(4):572-9.
Xiang Y, Bu XL, Liu YH, Zhu C, Shen LL, Jiao SS, et al. Physiological amyloid-beta clearance in the periphery and its therapeutic potential for Alzheimer’s disease. Acta Neuropathol. 2015;130(4):487-99.
Olsson B, Lautner R, Andreasson U, Öhrfelt A, Portelius E, Bjerke M, et al. CSF and blood biomarkers for the diagnosis of Alzheimer’s disease: a systematic review and meta-analysis. Lancet Neurol. 2016;15(7):673-84.
Jack CR, Wiste HJ, Weigand SD, Therneau TM, Lowe VJ, Knopman DS, et al. Predicting future rates of tau accumulation and neurodegeneration based on β-amyloid and baseline tau burden. Brain. 2020;143(11):3136-50.
Escott-Price V, Sims R, Bannister C, Harold D, Vronskaya M, Majounie E, et al. Common polygenic variation enhances risk prediction for Alzheimer’s disease. Brain. 2015;138(12):3673-84.
Johnson ECB, Dammer EB, Duong DM, Ping L, Zhou M, Yin L, et al. Large-scale proteomic analysis of Alzheimer’s disease brain and cerebrospinal fluid reveals early changes in energy metabolism associated with microglia and astrocyte activation. Nat Med. 2020;26(5):769-80.
Ding Y, Sohn JH, Kawczynski MG, Trivedi H, Harnish R, Jenkins NW, et al. A deep learning model to predict a diagnosis of Alzheimer disease by using 18F-FDG PET of the brain. Radiology. 2019;290(2):456-64.
Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, et al. Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat Genet. 2019;51(3):414-30.
Sevigny J, Chiao P, Bussière T, Weinreb PH, Williams L, Maier M, et al. The antibody aducanumab reduces Aβ plaques in Alzheimer’s disease. Nature. 2016;537(7618):50-6.
Van Dyck CH, Swanson CJ, Aisen P, Bateman RJ, Chen C, Gee M, et al. Lecanemab in early Alzheimer’s disease. N Engl J Med. 2023;388(1):9-21.
Palmqvist S, Janelidze S, Quiroz YT, Zetterberg H, Lopera F, Stomrud E, et al. Discriminative accuracy of plasma p-tau217 for Alzheimer disease vs other neurodegenerative disorders. JAMA. 2020;324(8):772-81.
Leuzy A, Pascoal TA, Strandberg O, Savitcheva I, Svedberg MM, Karikari TK, et al. 18F-RO948 tau PET in the Alzheimer’s disease spectrum: pathophysiological staging and diagnostic utility. Eur J Nucl Med Mol Imaging. 2020;47(9):2045-56.
Cummings J, Lee G, Nahed P, Kambar ME, Zhong K, Fonseca J, et al. Alzheimer’s disease drug development pipeline: 2023. Alzheimers Dement (N Y). 2023;9(1):e12385.
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2026 REVISTA BRASILEIRA MILITAR DE CIÊNCIAS

Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
A submissão de originais para a Revista Brasileira Militar de Ciências implica na transferência, pelos autores, dos direitos de publicação digital. Os autores somente poderão utilizar os mesmos resultados em outras publicações indicando claramente a Revista Brasileira Militar de Ciências como o meio da publicação original. Em virtude de ser uma revista de acesso aberto, permite-se o uso gratuito dos artigos em aplicações educacionais, científicas, não comerciais, desde que citada a fonte (por favor, veja a LicençaCreative Commons no rodapé desta página)

