Um grande estudo liderado pela Universidade de Lund, na Suécia, mostrou que as pessoas com doença de Alzheimer agora podem ser identificadas antes de apresentarem qualquer sintoma. Agora também é possível prever quem vai se deteriorar nos próximos...
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)
NIA-AA versus critérios IWG. Diferenças na nomenclatura de indivíduos...
Há muito se sabe que existem duas proteínas ligadas à doença de Alzheimer – beta-amilóide, que forma placas no cérebro, e tau, que em um estágio posterior se acumula dentro das células cerebrais . Níveis elevados dessas proteínas em combinação com comprometimento cognitivo formaram anteriormente a base para o diagnóstico da doença de Alzheimer.
"Mudanças ocorrem no cérebro entre dez e vinte anos antes que o paciente experimente quaisquer sintomas claros, e é somente quando a tau começa a se espalhar que as células nervosas morrem e a pessoa em questão experimenta os primeiros problemas cognitivos. difícil de diagnosticar em seus estágios iniciais", explica Oskar Hansson, médico sênior em neurologia do Hospital Universitário de Skåne e professor da Universidade de Lund.
Ele agora liderou um grande estudo de pesquisa internacional que foi realizado com 1.325 participantes da Suécia, Estados Unidos, Holanda e Austrália. Os participantes não apresentavam nenhum comprometimento cognitivo no início do estudo. Usando PET scans, a presença de tau e amiloide no cérebro dos participantes pode ser visualizada.
As pessoas nas quais as duas proteínas foram descobertas apresentaram um risco 20 a 40 vezes maior de desenvolver a doença no acompanhamento alguns anos depois, em comparação com os participantes que não tiveram alterações biológicas.
"Quando tanto beta-amilóide quanto tau estão presentes no cérebro, isso não pode mais ser considerado um fator de risco, mas sim um diagnóstico. Um patologista que examinasse amostras de um cérebro como esse, diagnosticaria imediatamente o paciente com Alzheimer", diz Rik Ossenkopele, que é o primeiro autor do estudo e pesquisador sênior da Universidade de Lund e do Centro Médico da Universidade de Amsterdã.
Ele explica que os pesquisadores de Alzheimer pertencem a duas escolas de pensamento – por um lado, aqueles que acreditam que a doença de Alzheimer não pode ser diagnosticada até que o comprometimento cognitivo comece. Há também o grupo ao qual ele e seus colegas pertencem – que dizem que um diagnóstico pode ser baseado puramente na biologia e no que você pode ver no cérebro.
"Você pode, por exemplo, comparar nossos resultados com o câncer de próstata . Se você fizer uma biópsia e encontrar células cancerígenas, o diagnóstico será de câncer, mesmo que a pessoa em questão ainda não tenha desenvolvido sintomas", diz Rik Ossenkopele.
Recentemente, surgiram resultados positivos em ensaios clínicos de um novo medicamento contra Alzheimer, o Lecanemab, que foi avaliado em pacientes com Alzheimer. Com base nisso, o estudo da Universidade de Lund é particularmente interessante, dizem os pesquisadores:
"Se pudermos diagnosticar a doença antes que os desafios cognitivos apareçam, poderemos eventualmente usar a droga para retardar a doença em um estágio muito inicial. Em combinação com atividade física e boa nutrição, teríamos uma chance maior de prevenir ou retardando o comprometimento cognitivo futuro . No entanto, mais pesquisas são necessárias antes que o tratamento possa ser recomendado para pessoas que ainda não desenvolveram perda de memória ", conclui Oskar Hansson.