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1.
Arch Soc Esp Oftalmol (Engl Ed) ; 99(7): 304-308, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38768849

ABSTRACT

Progressive Supranuclear Palsy (PSP), also known as Steele-Richardson-Olszewski syndrome, is a rare neurodegenerative disease characterized by a variety of motor and neuro-ophthalmological symptoms. We present the case of a 73-year-old male patient with a history of type 2 diabetes and high blood pressure, who consulted for gait disorders, tremors in the extremities, and difficulty controlling conjugate gaze. During physical examination, findings consistent with PSP were noted, including hypomimia, muscle rigidity, and abnormal movements. The initial misdiagnosis of Parkinson's disease and subsequent administration of levodopa highlight the importance of accurate diagnosis in complex neurological conditions. This clinical case highlights the need for a thorough evaluation of neuro-ophthalmological symptoms and signs to ensure an appropriate therapeutic approach and improve the quality of life of patients.


Subject(s)
Supranuclear Palsy, Progressive , Humans , Supranuclear Palsy, Progressive/diagnosis , Male , Aged , Levodopa/therapeutic use , Parkinson Disease/complications , Parkinson Disease/drug therapy , Parkinson Disease/diagnosis
2.
Food Chem ; 167: 36-9, 2015 Jan 15.
Article in English | MEDLINE | ID: mdl-25148956

ABSTRACT

n-Alkane profiles established by gas chromatography-mass spectrometry (GC-MS) were used to classify vegetable oils according to their botanical origin. The n-alkanes present in corn, grapeseed, hazelnut, olive, peanut and sunflower oils were isolated by means of alkaline hydrolysis followed by silica gel column chromatography of the unsaponifiable fractions. The n-alkane fraction was constituted mainly of n-alkanes in the range C8-C35, although only those most abundant (15 n-alkanes, from 21 to 35 carbon No.) were used as original variables to construct linear discriminant analysis (LDA) models. Ratios of the peak areas selected by pairs were used as predictors. All the oils were correctly classified according to their botanical origin, with assignment probabilities higher than 95%, using an LDA model.


Subject(s)
Alkanes/chemistry , Gas Chromatography-Mass Spectrometry/methods , Plant Oils/chemistry
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