Metabolomics Analysis Reveals Alterations in Cochlear Metabolic Profiling in Mice with Noise-Induced Hearing Loss

Miao, Long; Zhang, Juan; Yin, Lihong; Pu, Yuepu

doi:10.1155/2022/9548316

Cited by 9 publications

(11 citation statements)

References 43 publications

(46 reference statements)

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“…The data were then entered into the MS-DIAL software for preprocessing. Metabolites were characterized using LUG database (Lumingbio Untargeted database of GC-MS) ( He et al, 2022 ; Miao et al, 2022 ), and a data matrix was derived. The three-dimensional matrix includes: sample information, the peak name for each substance, retention time, retention index, mass-to-charge ratio, and signal intensity.…”

Section: Methodsmentioning

confidence: 99%

GC-MS-based untargeted metabolic profiling of malignant mesothelioma plasma

Wang

Zhu

et al. 2023

PeerJ

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Background Malignant mesothelioma (MM) is a cancer caused mainly by asbestos exposure, and is aggressive and incurable. This study aimed to identify differential metabolites and metabolic pathways involved in the pathogenesis and diagnosis of malignant mesothelioma. Methods By using gas chromatography-mass spectrometry (GC-MS), this study examined the plasma metabolic profile of human malignant mesothelioma. We performed univariate and multivariate analyses and pathway analyses to identify differential metabolites, enriched metabolism pathways, and potential metabolic targets. The area under the receiver-operating curve (AUC) criterion was used to identify possible plasma biomarkers. Results Using samples from MM (n = 19) and healthy control (n = 22) participants, 20 metabolites were annotated. Seven metabolic pathways were disrupted, involving alanine, aspartate, and glutamate metabolism; glyoxylate and dicarboxylate metabolism; arginine and proline metabolism; butanoate and histidine metabolism; beta-alanine metabolism; and pentose phosphate metabolic pathway. The AUC was used to identify potential plasma biomarkers. Using a threshold of AUC = 0.9, five metabolites were identified, including xanthurenic acid, (s)-3,4-hydroxybutyric acid, D-arabinose, gluconic acid, and beta-d-glucopyranuronic acid. Conclusions To the best of our knowledge, this is the first report of a plasma metabolomics analysis using GC-MS analyses of Asian MM patients. Our identification of these metabolic abnormalities is critical for identifying plasma biomarkers in patients with MM. However, additional research using a larger population is needed to validate our findings.

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Section: Methodsmentioning

confidence: 99%

GC-MS-based untargeted metabolic profiling of malignant mesothelioma plasma

Wang

Zhu

et al. 2023

PeerJ

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“…Metabolomics, reflecting both genetic traits and environmental influences, plays a crucial role in understanding various forms of hearing impairment [97]. Recent studies have reported consistent data on the predictive role of serum metabolic profiles in sudden hearing loss [98], noise-induced hearing loss [99], and the identification of markers for ototoxicity [97,100]. Metabolomic investigations may pave the way for improved diagnostic strategies, personalized interventions, and targeted treatments, ultimately enhancing the clinical management of individuals affected by different causes of hearing loss [101,102].…”

Section: Metabolomicsmentioning

confidence: 99%

The Inheritance of Hearing Loss and Deafness: A Historical Perspective

Martini,

Cozza,

Di Pasquale Fiasca

2024

Audiology Research

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If the term “genetics” is a relatively recent proposition, introduced in 1905 by English biologist William Bateson, who rediscovered and spread in the scientific community Mendel’s principles of inheritance, since the dawn of human civilization the influence of heredity has been recognized, especially in agricultural crops and animal breeding. And, later, in familial dynasties. In this concise review, we outline the evolution of the idea of hereditary hearing loss, up to the current knowledge of molecular genetics and epigenetics.

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“…Table 2 shows the key features of the included studies on animal models. Of them, 3 were performed on guinea pigs [45][46][47], 1 on rats [48], 2 on mice [49,50] and 1 on sheep [51]. Metabolomic profiling was conducted using LC-MS techniques in four studies [45,47,49,50], while in the others GC-MS was applied [46,48,51].…”

Section: Metabolomics Investigations On Animal Models Of Hearing Lossmentioning

confidence: 99%

A Systematic Review on Metabolomics Analysis in Hearing Impairment: Is It a Possible Tool in Understanding Auditory Pathologies?

Malesci,

Lombardi,

Abenante

et al. 2023

IJMS

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With more than 466 million people affected, hearing loss represents the most common sensory pathology worldwide. Despite its widespread occurrence, much remains to be explored, particularly concerning the intricate pathogenic mechanisms underlying its diverse phenotypes. In this context, metabolomics emerges as a promising approach. Indeed, lying downstream from molecular biology’s central dogma, the metabolome reflects both genetic traits and environmental influences. Furthermore, its dynamic nature facilitates well-defined changes during disease states, making metabolomic analysis a unique lens into the mechanisms underpinning various hearing impairment forms. Hence, these investigations may pave the way for improved diagnostic strategies, personalized interventions and targeted treatments, ultimately enhancing the clinical management of affected individuals. In this comprehensive review, we discuss findings from 20 original articles, including human and animal studies. Existing literature highlights specific metabolic changes associated with hearing loss and ototoxicity of certain compounds. Nevertheless, numerous critical issues have emerged from the study of the current state of the art, with the lack of standardization of methods, significant heterogeneity in the studies and often small sample sizes being the main limiting factors for the reliability of these findings. Therefore, these results should serve as a stepping stone for future research aimed at addressing the aforementioned challenges.

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Metabolomics Analysis Reveals Alterations in Cochlear Metabolic Profiling in Mice with Noise-Induced Hearing Loss

Cited by 9 publications

References 43 publications

GC-MS-based untargeted metabolic profiling of malignant mesothelioma plasma

GC-MS-based untargeted metabolic profiling of malignant mesothelioma plasma

The Inheritance of Hearing Loss and Deafness: A Historical Perspective

A Systematic Review on Metabolomics Analysis in Hearing Impairment: Is It a Possible Tool in Understanding Auditory Pathologies?

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