Deciphering Metabolic Responses in Traumatic Brain Injury Patients With Different Severity Using 1H NMR-Based Serum Metabolomics
The analysis of metabolites presents a promising opportunity to gain insight into the neuropathophysiology of individuals affected by traumatic brain injury (TBI). In order to elucidate the underlying pathophysiologic mechanisms and identify serum biomarkers associated with TBI, we conducted a compr...
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Wiley
2025-01-01
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Series: | Scientifica |
Online Access: | http://dx.doi.org/10.1155/sci5/5522830 |
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author | Huan Zhou Dongdong Sun Dongmei Wang Zirui Zhu Xuelian Hong Rui Fang Hua Wang Minghui Li |
author_facet | Huan Zhou Dongdong Sun Dongmei Wang Zirui Zhu Xuelian Hong Rui Fang Hua Wang Minghui Li |
author_sort | Huan Zhou |
collection | DOAJ |
description | The analysis of metabolites presents a promising opportunity to gain insight into the neuropathophysiology of individuals affected by traumatic brain injury (TBI). In order to elucidate the underlying pathophysiologic mechanisms and identify serum biomarkers associated with TBI, we conducted a comprehensive investigation utilizing a 1H nuclear magnetic resonance (NMR)–based metabolomics approach and ELISA analysis of serum samples obtained within 24 h postinjury from a cohort of participants with varying degrees of TBI severity. Our findings revealed that the decrease of isoleucine, valine, tryptophan, and histidine, as well as the increase of lactate, were proportional to the severity of TBI. In addition, creatine phosphate showed promise in specifically distinguishing moderate TBI from controls, while glutamine and the lactate-to-pyruvate ratio demonstrated excellent performance in diagnosing severe TBI from controls. Pathway analysis revealed disruptions in the ketone body metabolism, carnitine synthesis, butyrate metabolism, and citric acid cycle across mild to severe TBI patients. Moreover, our findings suggest an upregulation of the cytokines IL-1β, IL-6, and TNF-α following TBI, displaying correlations with lactate, 5-aminopentanoate, glucose, and creatinine metabolites. This study offers a novel concept and theoretical framework by leveraging serum metabolites to enhance the objective, rapid and reliable assessment of TBI severity. The clinical implications of this research are significant, as it facilitates the diagnosis and prognosis of TBI patients across a spectrum of severity levels. |
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id | doaj-art-0767a56a72b448aebd00f57257709a4c |
institution | Kabale University |
issn | 2090-908X |
language | English |
publishDate | 2025-01-01 |
publisher | Wiley |
record_format | Article |
series | Scientifica |
spelling | doaj-art-0767a56a72b448aebd00f57257709a4c2025-01-18T00:00:05ZengWileyScientifica2090-908X2025-01-01202510.1155/sci5/5522830Deciphering Metabolic Responses in Traumatic Brain Injury Patients With Different Severity Using 1H NMR-Based Serum MetabolomicsHuan Zhou0Dongdong Sun1Dongmei Wang2Zirui Zhu3Xuelian Hong4Rui Fang5Hua Wang6Minghui Li7School of Laboratory MedicineDepartment of NeurosurgerySchool of Laboratory MedicineSchool of Laboratory MedicineAnhui Provincial Key Laboratory of Molecular Enzymology and Mechanism of Major Metabolic DiseasesAnhui Provincial Key Laboratory of Molecular Enzymology and Mechanism of Major Metabolic DiseasesCollege of Chemistry and Materials ScienceAnhui Provincial Key Laboratory of Molecular Enzymology and Mechanism of Major Metabolic DiseasesThe analysis of metabolites presents a promising opportunity to gain insight into the neuropathophysiology of individuals affected by traumatic brain injury (TBI). In order to elucidate the underlying pathophysiologic mechanisms and identify serum biomarkers associated with TBI, we conducted a comprehensive investigation utilizing a 1H nuclear magnetic resonance (NMR)–based metabolomics approach and ELISA analysis of serum samples obtained within 24 h postinjury from a cohort of participants with varying degrees of TBI severity. Our findings revealed that the decrease of isoleucine, valine, tryptophan, and histidine, as well as the increase of lactate, were proportional to the severity of TBI. In addition, creatine phosphate showed promise in specifically distinguishing moderate TBI from controls, while glutamine and the lactate-to-pyruvate ratio demonstrated excellent performance in diagnosing severe TBI from controls. Pathway analysis revealed disruptions in the ketone body metabolism, carnitine synthesis, butyrate metabolism, and citric acid cycle across mild to severe TBI patients. Moreover, our findings suggest an upregulation of the cytokines IL-1β, IL-6, and TNF-α following TBI, displaying correlations with lactate, 5-aminopentanoate, glucose, and creatinine metabolites. This study offers a novel concept and theoretical framework by leveraging serum metabolites to enhance the objective, rapid and reliable assessment of TBI severity. The clinical implications of this research are significant, as it facilitates the diagnosis and prognosis of TBI patients across a spectrum of severity levels.http://dx.doi.org/10.1155/sci5/5522830 |
spellingShingle | Huan Zhou Dongdong Sun Dongmei Wang Zirui Zhu Xuelian Hong Rui Fang Hua Wang Minghui Li Deciphering Metabolic Responses in Traumatic Brain Injury Patients With Different Severity Using 1H NMR-Based Serum Metabolomics Scientifica |
title | Deciphering Metabolic Responses in Traumatic Brain Injury Patients With Different Severity Using 1H NMR-Based Serum Metabolomics |
title_full | Deciphering Metabolic Responses in Traumatic Brain Injury Patients With Different Severity Using 1H NMR-Based Serum Metabolomics |
title_fullStr | Deciphering Metabolic Responses in Traumatic Brain Injury Patients With Different Severity Using 1H NMR-Based Serum Metabolomics |
title_full_unstemmed | Deciphering Metabolic Responses in Traumatic Brain Injury Patients With Different Severity Using 1H NMR-Based Serum Metabolomics |
title_short | Deciphering Metabolic Responses in Traumatic Brain Injury Patients With Different Severity Using 1H NMR-Based Serum Metabolomics |
title_sort | deciphering metabolic responses in traumatic brain injury patients with different severity using 1h nmr based serum metabolomics |
url | http://dx.doi.org/10.1155/sci5/5522830 |
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