Articles producció científica> Enginyeria Química

Metabolic Fingerprinting for the Diagnosis of Clinically Similar Long COVID and Fibromyalgia Using a Portable FT-MIR Spectroscopic Combined with Chemometrics

  • Dades identificatives

    Identificador: imarina:9331753
    Autors:
    Hackshaw KVYao SBao Hde Lamo Castellvi SAziz RNuguri SMYu LOsuna-Diaz MMBrode WMSebastian KRGiusti MMRodriguez-Saona L
    Resum:
    Post Acute Sequelae of SARS-CoV-2 infection (PASC or Long COVID) is characterized by lingering symptomatology post-initial COVID-19 illness that is often debilitating. It is seen in up to 30–40% of individuals post-infection. Patients with Long COVID (LC) suffer from dysautonomia, malaise, fatigue, and pain, amongst a multitude of other symptoms. Fibromyalgia (FM) is a chronic musculoskeletal pain disorder that often leads to functional disability and severe impairment of quality of life. LC and FM share several clinical features, including pain that often makes them indistinguishable. The aim of this study is to develop a metabolic fingerprinting approach using portable Fourier-transform mid-infrared (FT-MIR) spectroscopic techniques to diagnose clinically similar LC and FM. Blood samples were obtained from LC (n = 50) and FM (n = 50) patients and stored on conventional bloodspot protein saver cards. A semi-permeable membrane filtration approach was used to extract the blood samples, and spectral data were collected using a portable FT-MIR spectrometer. Through the deconvolution analysis of the spectral data, a distinct spectral marker at 1565 cm−1 was identified based on a statistically significant analysis, only present in FM patients. This IR band has been linked to the presence of side chains of glutamate. An OPLS-DA algorithm created using the spectral region 1500 to 1700 cm−1 enabled the classification of the spectra into their corresponding classes (Rcv > 0.96) with 100% accuracy and specificity. This high-throughput approach allows unique metabolic signatures associated with LC and FM to be identified, allowing these conditions to be distinguished and implemented for in-clinic diagnostics, which is crucial to guide future therapeutic approaches.
  • Altres:

    Autor segons l'article: Hackshaw KV; Yao S; Bao H; de Lamo Castellvi S; Aziz R; Nuguri SM; Yu L; Osuna-Diaz MM; Brode WM; Sebastian KR; Giusti MM; Rodriguez-Saona L
    Departament: Enginyeria Química
    Autor/s de la URV: De Lamo Castellvi, Silvia
    Paraules clau: Post-acute sequelae of sars-cov-2 (pasc)/long covid Metabolic fingerprinting In-clinic disease diagnostics Fibromyalgia Chemometrics Blood
    Resum: Post Acute Sequelae of SARS-CoV-2 infection (PASC or Long COVID) is characterized by lingering symptomatology post-initial COVID-19 illness that is often debilitating. It is seen in up to 30–40% of individuals post-infection. Patients with Long COVID (LC) suffer from dysautonomia, malaise, fatigue, and pain, amongst a multitude of other symptoms. Fibromyalgia (FM) is a chronic musculoskeletal pain disorder that often leads to functional disability and severe impairment of quality of life. LC and FM share several clinical features, including pain that often makes them indistinguishable. The aim of this study is to develop a metabolic fingerprinting approach using portable Fourier-transform mid-infrared (FT-MIR) spectroscopic techniques to diagnose clinically similar LC and FM. Blood samples were obtained from LC (n = 50) and FM (n = 50) patients and stored on conventional bloodspot protein saver cards. A semi-permeable membrane filtration approach was used to extract the blood samples, and spectral data were collected using a portable FT-MIR spectrometer. Through the deconvolution analysis of the spectral data, a distinct spectral marker at 1565 cm−1 was identified based on a statistically significant analysis, only present in FM patients. This IR band has been linked to the presence of side chains of glutamate. An OPLS-DA algorithm created using the spectral region 1500 to 1700 cm−1 enabled the classification of the spectra into their corresponding classes (Rcv > 0.96) with 100% accuracy and specificity. This high-throughput approach allows unique metabolic signatures associated with LC and FM to be identified, allowing these conditions to be distinguished and implemented for in-clinic diagnostics, which is crucial to guide future therapeutic approaches.
    Àrees temàtiques: Pharmacology & pharmacy Medicine, research & experimental Medicine (miscellaneous) General biochemistry,genetics and molecular biology Ciencias sociales Biochemistry, genetics and molecular biology (miscellaneous) Biochemistry, genetics and molecular biology (all) Biochemistry & molecular biology
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: silvia.delamo@urv.cat silvia.delamo@urv.cat
    Identificador de l'autor: 0000-0002-5261-6806 0000-0002-5261-6806
    Data d'alta del registre: 2024-08-03
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://www.mdpi.com/2227-9059/11/10/2704
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Biomedicines. 11 (10):
    Referència de l'ítem segons les normes APA: Hackshaw KV; Yao S; Bao H; de Lamo Castellvi S; Aziz R; Nuguri SM; Yu L; Osuna-Diaz MM; Brode WM; Sebastian KR; Giusti MM; Rodriguez-Saona L (2023). Metabolic Fingerprinting for the Diagnosis of Clinically Similar Long COVID and Fibromyalgia Using a Portable FT-MIR Spectroscopic Combined with Chemometrics. Biomedicines, 11(10), -. DOI: 10.3390/biomedicines11102704
    DOI de l'article: 10.3390/biomedicines11102704
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2023
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Biochemistry & Molecular Biology,Biochemistry, Genetics and Molecular Biology (Miscellaneous),Medicine (Miscellaneous),Medicine, Research & Experimental,Pharmacology & Pharmacy
    Post-acute sequelae of sars-cov-2 (pasc)/long covid
    Metabolic fingerprinting
    In-clinic disease diagnostics
    Fibromyalgia
    Chemometrics
    Blood
    Pharmacology & pharmacy
    Medicine, research & experimental
    Medicine (miscellaneous)
    General biochemistry,genetics and molecular biology
    Ciencias sociales
    Biochemistry, genetics and molecular biology (miscellaneous)
    Biochemistry, genetics and molecular biology (all)
    Biochemistry & molecular biology
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