Comparative Blood Profiling Based on ATR-FTIR Spectroscopy and Chemometrics for Differential Diagnosis of Patients with Amyotrophic Lateral Sclerosis-Pilot Study

被引:0
作者
Tkachenko, Kateryna [1 ]
Gonzalez-Saiz, Jose M. [1 ]
Calvo, Ana C. [2 ]
Lunetta, Christian [3 ]
Osta, Rosario [2 ]
Pizarro, Consuelo [1 ]
机构
[1] Univ La Rioja, Dept Chem, Logrono 26006, La Rioja, Spain
[2] Zaragoza Univ, Aragon Inst Hlth Res IIS Aragon, Ctr Invest Biomed Red Enfermedades Neurodegenerat, LAGENBIO, Calle Miguel Servet 13, Zaragoza 50013, Spain
[3] Inst Milan, Dept Neurol Rehabil, Ist Clin Sci Maugeri IRCCS, I-20138 Milan, Italy
来源
BIOSENSORS-BASEL | 2024年 / 14卷 / 11期
关键词
amyotrophic lateral sclerosis; infrared spectroscopy; metabolic signatures; patient stratification; chemometrics; classification strategy; health and wellbeing monitoring; INFRARED-SPECTROSCOPY; CLASSIFICATION; FEATURES; DISEASE;
D O I
10.3390/bios14110526
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Amyotrophic 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.
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页数:14
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共 41 条
  • [1] Analytical methods in untargeted metabolomics: state of the art in 2015
    Alonso, Arnald
    Marsal, Sara
    Julia, Antonio
    [J]. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2015, 3
  • [2] Tear-Based Vibrational Spectroscopy Applied to Amyotrophic Lateral Sclerosis
    Ami, Diletta
    Duse, Alessandro
    Mereghetti, Paolo
    Cozza, Federica
    Ambrosio, Francesca
    Ponzini, Erika
    Grandori, Rita
    Lunetta, Christian
    Tavazzi, Silvia
    Pezzoli, Fabio
    Natalello, Antonino
    [J]. ANALYTICAL CHEMISTRY, 2021, 93 (51) : 16995 - 17002
  • [3] Lipidomics study of plasma from patients suggest that ALS and PLS are part of a continuum of motor neuron disorders
    Area-Gomez, Estela
    Larrea, D.
    Yun, T.
    Xu, Y.
    Hupf, J.
    Zandkarimi, F.
    Chan, R. B.
    Mitsumoto, H.
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01) : 13562
  • [4] Infrared spectroscopy of proteins
    Barth, Andreas
    [J]. BIOCHIMICA ET BIOPHYSICA ACTA-BIOENERGETICS, 2007, 1767 (09): : 1073 - 1101
  • [5] Biomolecular and bioanalytical applications of infrared spectroscopy - A review
    Bec, Krzysztof B.
    Grabska, Justyna
    Huck, Christian W.
    [J]. ANALYTICA CHIMICA ACTA, 2020, 1133 : 150 - 177
  • [6] The inflammatory pathology of dysferlinopathy is distinct from calpainopathy, Becker muscular dystrophy, and inflammatory myopathies
    Becker, Nicole
    Moore, Steven A.
    Jones, Karra A.
    [J]. ACTA NEUROPATHOLOGICA COMMUNICATIONS, 2022, 10 (01)
  • [7] Sphingolipids metabolism alteration in the central nervous system: Amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases
    Bouscary, Alexandra
    Quessada, Cyril
    Rene, Frederique
    Spedding, Michael
    Turner, Bradley J.
    Henriques, Alexandre
    Ngo, Shyuan T.
    Loeffler, Jean-Philippe
    [J]. SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY, 2021, 112 : 82 - 91
  • [8] Brown S., 2010, Comprehensive Chemometrics
  • [9] Spectral classification for diagnosis involving numerous pathologies in a complex clinical setting: A neuro-oncology example
    Bury, Danielle
    Morais, Camilo L. M.
    Paraskevaidi, Maria
    Ashton, Katherine M.
    Dawson, Timothy P.
    Martin, Francis L.
    [J]. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2019, 206 : 89 - 96
  • [10] Clinical Features of Alzheimer Disease With and Without Lewy Bodies
    Chung, Eun Joo
    Babulal, Ganesh M.
    Monsell, Sarah E.
    Cairns, Nigel J.
    Roe, Catherine M.
    Morris, John C.
    [J]. JAMA NEUROLOGY, 2015, 72 (07) : 789 - 796