000145709 001__ 145709
000145709 005__ 20241129133041.0
000145709 0247_ $$2doi$$a10.3390/bios14110526
000145709 0248_ $$2sideral$$a140680
000145709 037__ $$aART-2024-140680
000145709 041__ $$aeng
000145709 100__ $$aTkachenko, Kateryna
000145709 245__ $$aComparative Blood Profiling Based on ATR-FTIR Spectroscopy and Chemometrics for Differential Diagnosis of Patients with Amyotrophic Lateral Sclerosis—Pilot Study
000145709 260__ $$c2024
000145709 5060_ $$aAccess copy available to the general public$$fUnrestricted
000145709 5203_ $$aAmyotrophic lateral sclerosis (ALS) is a motor neurodegenerative disease characterized by poor prognosis. Currently, screening and diagnostic methods for ALS remain challenging, often leading to diagnosis at an advanced stage of the disease. This delay hinders the timely initiation of therapy, negatively impacting patient well-being. Additionally, misdiagnosis with other neurodegenerative disorders that present similar profiles often occurs. Therefore, there is an urgent need for a cost-effective, rapid, and user-friendly tool capable of predicting ALS onset. In this pilot study, we demonstrate that infrared spectroscopy, coupled with chemometric analysis, can effectively identify and predict disease profiles from blood samples drawn from ALS patients. The selected predictive spectral markers, which are used in various discriminant models, achieved an AUROC sensitivity of almost 80% for distinguishing ALS patients from controls. Furthermore, the differentiation of ALS at both the initial and advanced stages from other neurodegenerative disorders showed even higher AUROC values, with sensitivities of 87% (AUROC: 0.70–0.97). These findings highlight the elevated potential of ATR-FTIR spectroscopy for routine clinical screening and early diagnosis of ALS.
000145709 536__ $$9info:eu-repo/grantAgreement/ES/ISCIII/FEDER/PI21-00372
000145709 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000145709 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000145709 700__ $$aGonzález-Saíz, José M.
000145709 700__ $$0(orcid)0000-0001-5193-7782$$aCalvo, Ana C.$$uUniversidad de Zaragoza
000145709 700__ $$aLunetta, Christian
000145709 700__ $$0(orcid)0000-0001-5687-6704$$aOsta, Rosario$$uUniversidad de Zaragoza
000145709 700__ $$aPizarro, Consuelo
000145709 7102_ $$11001$$2420$$aUniversidad de Zaragoza$$bDpto. Anatom.,Embri.Genét.Ani.$$cÁrea Genética
000145709 773__ $$g14, 11 (2024), 526 [14 pp.]$$tBiosensors$$x2079-6374
000145709 8564_ $$s1999087$$uhttps://zaguan.unizar.es/record/145709/files/texto_completo.pdf$$yVersión publicada
000145709 8564_ $$s2737506$$uhttps://zaguan.unizar.es/record/145709/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000145709 909CO $$ooai:zaguan.unizar.es:145709$$particulos$$pdriver
000145709 951__ $$a2024-11-29-13:28:57
000145709 980__ $$aARTICLE