Discriminating fingerprints of chronic neuropathic pain following spinal cord injury using artificial neural networks and mass spectrometry analysis of female mice serum

IF 4.4 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Neurochemistry international Pub Date : 2024-10-23 DOI:10.1016/j.neuint.2024.105890
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Abstract

Spinal cord injury (SCI) often leads to central neuropathic pain, a condition associated with significant morbidity and is challenging in terms of the clinical management. Despite extensive efforts, identifying effective biomarkers for neuropathic pain remains elusive. Here we propose a novel approach combining matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) with artificial neural networks (ANNs) to discriminate between mass spectral profiles associated with chronic neuropathic pain induced by SCI in female mice. Functional evaluations revealed persistent chronic neuropathic pain following mild SCI as well as minor locomotor disruptions, confirming the value of collecting serum samples. Mass spectra analysis revealed distinct profiles between chronic SCI and sham controls. On applying ANNs, 100% success was achieved in distinguishing between the two groups through the intensities of m/z peaks. Additionally, the ANNs also successfully discriminated between chronic and acute SCI phases. When reflexive pain response data was integrated with mass spectra, there was no improvement in the classification. These findings offer insights into neuropathic pain pathophysiology and underscore the potential of MALDI-TOF MS coupled with ANNs as a diagnostic tool for chronic neuropathic pain, potentially guiding attempts to discover biomarkers and develop treatments.
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利用人工神经网络和雌性小鼠血清质谱分析鉴别脊髓损伤后慢性神经病理性疼痛的指纹。
脊髓损伤(SCI)通常会导致中枢神经病理痛,这种病症与严重的发病率有关,而且在临床治疗方面具有挑战性。尽管做出了大量努力,但确定神经病理性疼痛的有效生物标记物仍然遥遥无期。在这里,我们提出了一种结合基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)和人工神经网络(ANNs)的新方法,用于区分与雌性小鼠因脊髓损伤诱发的慢性神经性疼痛相关的质谱图谱。功能评估显示,轻度 SCI 后会出现持续性慢性神经病理性疼痛以及轻微的运动障碍,这证实了采集血清样本的价值。质谱分析揭示了慢性 SCI 和假对照组之间的不同特征。在应用 ANNs 时,通过 m/z 峰的强度区分两组的成功率达到了 100%。此外,ANN 还成功区分了慢性和急性 SCI 阶段。当反射性疼痛反应数据与质谱数据整合时,分类效果没有改善。这些发现提供了对神经病理性疼痛病理生理学的见解,并强调了 MALDI-TOF MS 与 ANNs 结合作为慢性神经病理性疼痛诊断工具的潜力,有可能为发现生物标记物和开发治疗方法提供指导。
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来源期刊
Neurochemistry international
Neurochemistry international 医学-神经科学
CiteScore
8.40
自引率
2.40%
发文量
128
审稿时长
37 days
期刊介绍: Neurochemistry International is devoted to the rapid publication of outstanding original articles and timely reviews in neurochemistry. Manuscripts on a broad range of topics will be considered, including molecular and cellular neurochemistry, neuropharmacology and genetic aspects of CNS function, neuroimmunology, metabolism as well as the neurochemistry of neurological and psychiatric disorders of the CNS.
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