Dissection aortique dans le syndrome de Marfan: à propos d'un cas au CHU de Yaoundé

La dissection aortique est le déchirement de la paroi de l'aorte. Ce phénomène est rare et grave, car il peut conduire à la rupture totale de l'aorte et à une mort certaine. Une fois le diagnostic posé, la chirurgie doit être rapidement réalisée. Nous rapportons le cas d'un jeune homme de 30 ans chez qui nous avons fait le diagnostic de la dissection aortique dans le syndrome de Marfan. Il a pu bénéficier d'une intervention chirurgicale à coeur ouvert avec un remplacement de la valve aortique. A ce jour, 30ème mois après l’opération aucune complication n’est notée.Mots-clés: Dissection aortique, Syndrome de Marfan, YaoundéEnglish AbstractAortic dissection is defined as the separation of the layers within the aortic wall. This phenomenon is rare and could be very dangerous in the case of total aortic rupture with resultant death. Once the diagnosis is made, surgery should not be delayed. We present the case of a 30 years old man, in whom the diagnosis of aortic dissection was made in the context of Marfan's syndrome. He underwent a open heart surgical intervention with replacement of the aortic valve. No complications have been noted till date (30 months post surgery)Keywords: Aortic dissection, Marfan's syndrome, Yaound

Prognostic plasma protein panel for Aβ deposition in the brain in Alzheimer's disease

Alzheimer's disease (AD) is the most common age-associated dementia. Many studies have sought to predict cerebral amyloid deposition, the major pathological hallmark of AD, using body fluids such as blood or cerebral spinal fluid (CSF). The use of blood in diagnostic procedures is widespread in medicine; however, existing blood biomarkers for AD remain unreliable. We sought to discover blood biomarkers that discriminate A beta deposition status in the brain. This study used 107 individuals who were cognitively normal (CN), 107 patients with mild cognitive impairment (MCI), and 40 AD patients with Pittsburg compound B positron emission tomography (PiB-PET) amyloid imaging data available. We found five plasma biomarker candidates via mass spectrometry (MS) based-proteomic analysis and validated these proteins using enzyme-linked immunosorbent assay (ELISA). Our integrated models were highly predictive of brain amyloid deposition, exhibiting 0.871 accuracy with 79% sensitivity and 84% specificity overall, and 0.836 accuracy with 68% sensitivity and 90% specificity in patients with MCI. These results indicated that a combination of proteomic-based blood proteins might be a possible biomarker set for predicting cerebral amyloid deposition.N

Prognostic plasma protein panel for Aβ deposition in the brain in Alzheimer's disease

© 2019 Elsevier LtdAlzheimer's disease (AD) is the most common age-associated dementia. Many studies have sought to predict cerebral amyloid deposition, the major pathological hallmark of AD, using body fluids such as blood or cerebral spinal fluid (CSF). The use of blood in diagnostic procedures is widespread in medicine; however, existing blood biomarkers for AD remain unreliable. We sought to discover blood biomarkers that discriminate Aβ deposition status in the brain. This study used 107 individuals who were cognitively normal (CN), 107 patients with mild cognitive impairment (MCI), and 40 AD patients with Pittsburg compound B positron emission tomography (PiB-PET) amyloid imaging data available. We found five plasma biomarker candidates via mass spectrometry (MS) based-proteomic analysis and validated these proteins using enzyme-linked immunosorbent assay (ELISA). Our integrated models were highly predictive of brain amyloid deposition, exhibiting 0.871 accuracy with 79% sensitivity and 84% specificity overall, and 0.836 accuracy with 68% sensitivity and 90% specificity in patients with MCI. These results indicated that a combination of proteomic-based blood proteins might be a possible biomarker set for predicting cerebral amyloid deposition11Nsciescopu