应用傅里叶变换红外光谱检测肥胖患者血清生化变化,Journal of Biophotonics

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应用傅里叶变换红外光谱检测肥胖患者血清生化变化
Journal of Biophotonics ( IF 2.8 ) Pub Date : 2023-03-03 , DOI: 10.1002/jbio.202200388
Zozan Guleken ₁ , Serpil Çeçen ₂ , Zeynep Ceylan ₃ , Paweł Jakubczyk ₄ , Joanna Depciuch _{5,

6}

Affiliation

肥胖通常是多种肥胖相关疾病的重要危险因素，这些疾病在世界范围内的流行率一直在上升。评估肥胖的人体测量数据，例如体重指数、脂肪和脂肪量值。因此，我们旨在提出两个傅里叶变换红外 (FT-IR) 光谱区域，800–1800 cm ^-1和 2700–3000 cm ^-1，作为肥胖相关生化变化的敏感潜在波段分配。共有 134 名肥胖者 ( n = 89) 和对照组 ( n = 45) 评估了指示肥胖的生化特征和临床参数。测量干燥血清的 FT-IR 光谱。与健康组相比，肥胖者的人体测量数据具有最高的体重指数、脂肪百分比和脂肪量值 ( p < 0.01)。此外，甘油三酯和高密度脂蛋白胆固醇水平高于健康受试者 ( p < 0.01)。主成分分析 (PCA) 技术成功区分了指纹中的肥胖组和对照组，占总变异性 (800–1800 cm ^-1 ) 和脂质 (2700–3000 cm ^{-1 ) 的 98.5% 和 99.9%}) 区域呈现为 2D 和 3D 得分图。加载结果表明，对应于膦酸酯基团、葡萄糖、酰胺 I 和脂质基团的峰在肥胖组中发生了偏移，表明它们具有作为肥胖生物标志物的潜力。本研究表明，基于 PCA 的 FTIR 分析可为肥胖患者的血清分析提供详细可靠的方法。

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Application of Fourier transform infrared spectroscopy to detect biochemical changes in blood serum of obese patients

Obesity is frequently a significant risk factor for multiple obesity-associated diseases that have been increasing in prevalence worldwide. Anthropometric data such as body mass index, fat, and fat mass values are assessed for obesity. Therefore, we aimed to propose two Fourier transform infrared (FT-IR) spectral regions, 800–1800 cm⁻¹ and 2700–3000 cm⁻¹, as sensitive potential band assignments for obesity-related biochemical changes. A total of 134 obese (n = 89) and controls (n = 45) biochemical characteristics and clinical parameters indicative of obesity were evaluated. The FT-IR spectra of dried blood serum were measured. Anthropometric data of the obese have the highest body mass index, %fat, and fat mass values compared to the healthy group (p < 0.01). Also, the triglyceride and high-density lipoprotein cholesterol levels were higher than in healthy subjects (p < 0.01). Principal component analysis (PCA) technique successfully distinguished obese and control groups in the fingerprint, accounting for 98.5% and 99.9% of the total variability (800–1800 cm⁻¹) and lipids (2700–3000 cm⁻¹) regions presented as 2D and 3D score plots. The loading results indicated that peaks corresponding to phosphonate groups, glucose, amide I, and lipid groups were shifted in the obese group, indicating their potential as biomarkers of obesity. This study suggests that FTIR analysis based on PCA can provide a detailed and reliable method for the analysis of blood serum in obese patients.

更新日期：2023-03-03

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