Evidence map›Paper›PMID 39589985›Full record

ArticleBiosensors2024

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

Kateryna Tkachenko, José M González-Saíz, Ana C Calvo, Christian Lunetta, Rosario Osta, Consuelo Pizarro

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kateryna TkachenkoDepartment of Chemistry, University of La Rioja, Logroño, 26006 La Rioja, Spain.
José M González-SaízDepartment of Chemistry, University of La Rioja, Logroño, 26006 La Rioja, Spain.
Ana C CalvoLAGENBIO, Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Aragon Institute for Health Research (IIS Aragon), Zaragoza University, Calle Miguel Servet 13, 50013 Zaragoza, Spain.ORCID 0000-0001-5193-7782
Christian LunettaDepartment of Neurological Rehabilitation, Istituti Clinici Scientifici Maugeri IRCCS, Institute of Milan, 20138 Milan, Italy.
Rosario OstaLAGENBIO, Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Aragon Institute for Health Research (IIS Aragon), Zaragoza University, Calle Miguel Servet 13, 50013 Zaragoza, Spain.ORCID 0000-0001-5687-6704
Consuelo PizarroDepartment of Chemistry, University of La Rioja, Logroño, 26006 La Rioja, Spain.ORCID 0000-0001-6450-8741

Funding

European Union's H2020 N· 801586
6 · The paper itself

Abstract

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.

Indexed as

Amyotrophic Lateral SclerosisAdultAgedBiomarkersDiagnosis, DifferentialFemaleHumansMaleMiddle AgedPilot ProjectsSpectroscopy, Fourier Transform InfraredBiomarkersamyotrophic lateral sclerosischemometricsclassification strategyhealth and wellbeing monitoringinfrared spectroscopymetabolic signaturespatient stratification

Identifiers

PMID39589985
PMCPMC11591577

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.