Literature DB >> 29356625

Multi-Omics for Biomarker Discovery and Target Validation in Biofluids for Amyotrophic Lateral Sclerosis Diagnosis.

Konstantinos Mitropoulos1, Theodora Katsila2, George P Patrinos2,3, Georgios Pampalakis2.   

Abstract

Amyotrophic lateral sclerosis (ALS) is a rare but usually fatal neurodegenerative disease characterized by motor neuron degeneration in the brain and the spinal cord. Two forms are recognized, the familial that accounts for 5-10% and the sporadic that accounts for the rest. New studies suggest that ALS is a highly heterogeneous disease, and this diversity is a major reason for the lack of successful therapeutic treatments. Indeed, only two drugs (riluzole and edaravone) have been approved that provide a limited improvement in the quality of life. Presently, the diagnosis of ALS is based on clinical examination and lag period from the onset of symptoms to the final diagnosis is ∼12 months. Therefore, the discovery of robust molecular biomarkers that can assist in the diagnosis is of major importance. DNA sequencing to identify pathogenic gene variants can be applied in the cases of familial ALS. However, it is not a routinely used diagnostic procedure and most importantly, it cannot be applied in the diagnosis of sporadic ALS. In this expert review, the current approaches in identification of new ALS biomarkers are discussed. The advent of various multi-omics biotechnology platforms, including miRNomics, proteomics, metabolomics, metallomics, volatolomics, and viromics, has assisted in the identification of new biomarkers. The biofluids are the most preferable material for the analysis of potential biomarkers (such as proteins and cell-free miRNAs), since they are easily obtained. In the near future, the biofluid-based biomarkers will be indispensable to classify different ALS subtypes and understand the molecular heterogeneity of the disease.

Entities:  

Keywords:  ALS; amyotrophic lateral sclerosis; biofluids; biomarkers; miRNA

Mesh:

Substances:

Year:  2018        PMID: 29356625     DOI: 10.1089/omi.2017.0183

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  8 in total

1.  Diagnostic Circulating miRNAs in Sporadic Amyotrophic Lateral Sclerosis.

Authors:  A Panio; C Cava; S D'Antona; G Bertoli; D Porro
Journal:  Front Med (Lausanne)       Date:  2022-05-06

2.  Dysregulation of MicroRNAs and Target Genes Networks in Peripheral Blood of Patients With Sporadic Amyotrophic Lateral Sclerosis.

Authors:  Maria Liguori; Nicoletta Nuzziello; Alessandro Introna; Arianna Consiglio; Flavio Licciulli; Eustachio D'Errico; Antonio Scarafino; Eugenio Distaso; Isabella L Simone
Journal:  Front Mol Neurosci       Date:  2018-08-28       Impact factor: 5.639

3.  Machine Learning Reveals Protein Signatures in CSF and Plasma Fluids of Clinical Value for ALS.

Authors:  Michael S Bereman; Joshua Beri; Jeffrey R Enders; Tara Nash
Journal:  Sci Rep       Date:  2018-11-05       Impact factor: 4.379

4.  Tyrosine and Tryptophan vibrational bands as markers of kidney injury: a renocardiac syndrome induced by renal ischemia and reperfusion study.

Authors:  Gabrielle Nepomuceno; Carolina Victoria Cruz Junho; Marcela Sorelli Carneiro-Ramos; Herculano da Silva Martinho
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

Review 5.  From Multi-Omics Approaches to Precision Medicine in Amyotrophic Lateral Sclerosis.

Authors:  Giovanna Morello; Salvatore Salomone; Velia D'Agata; Francesca Luisa Conforti; Sebastiano Cavallaro
Journal:  Front Neurosci       Date:  2020-10-30       Impact factor: 4.677

Review 6.  A chemogenomic approach is required for effective treatment of amyotrophic lateral sclerosis.

Authors:  Georgios Pampalakis; Georgios Angelis; Eleni Zingkou; Kostas Vekrellis; Georgia Sotiropoulou
Journal:  Clin Transl Med       Date:  2022-01

7.  Studies on Novel Diagnostic and Predictive Biomarkers of Intrahepatic Cholestasis of Pregnancy Through Metabolomics and Proteomics.

Authors:  Ruirui Dong; Ningzhen Ye; Shaojie Zhao; Gaoying Wang; Yan Zhang; Tiejun Wang; Ping Zou; Jing Wang; Tingting Yao; Minjian Chen; Conghua Zhou; Ting Zhang; Liang Luo
Journal:  Front Immunol       Date:  2021-10-14       Impact factor: 7.561

8.  Micro-Fourier-transform infrared reflectance spectroscopy as tool for probing IgG glycosylation in COVID-19 patients.

Authors:  Carla Carolina Silva Bandeira; Karen Cristina Rolim Madureira; Meire Bocoli Rossi; Juliana Failde Gallo; Ana Paula Marques Aguirra da Silva; Vilanilse Lopes Torres; Vinicius Alves de Lima; Norival Kesper Júnior; Janete Dias Almeida; Rodrigo Melim Zerbinati; Paulo Henrique Braz-Silva; José Angelo Lauletta Lindoso; Herculano da Silva Martinho
Journal:  Sci Rep       Date:  2022-03-11       Impact factor: 4.379

  8 in total

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