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NMR 临床代谢组学揭示了用于区分结节病和结核病的血清代谢特征。

Clinical metabolomics by NMR revealed serum metabolic signatures for differentiating sarcoidosis from tuberculosis.

机构信息

Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, UP, 226014, India.

Department of Chemistry, Integral University, Lucknow, UP, 226026, India.

出版信息

Metabolomics. 2023 Nov 8;19(11):92. doi: 10.1007/s11306-023-02052-4.

Abstract

BACKGROUND

Pulmonary sarcoidosis (SAR) and tuberculosis (TB) are two granulomatous lung-diseases and often pose a diagnostic challenge to a treating physicians.

OBJECTIVE

The present study aims to explore the diagnostic potential of NMR based serum metabolomics approach to differentiate SAR from TB.

MATERIALS AND METHOD

The blood samples were obtained from three study groups: SAR (N = 35), TB (N = 28) and healthy normal subjects (NC, N = 56) and their serum metabolic profiles were measured using 1D H CPMG (Carr-Purcell-Meiboom-Gill) NMR spectra recorded at 800 MHz NMR spectrometer. The quantitative metabolic profiles were compared employing a combination of univariate and multivariate statistical analysis methods and evaluated for their diagnostic potential using receiver operating characteristic (ROC) curve analysis.

RESULTS

Compared to SAR, the sera of TB patients were characterized by (a) elevated levels of lactate, acetate, 3-hydroxybutyrate (3HB), glutamate and succinate (b) decreased levels of glucose, citrate, pyruvate, glutamine, and several lipid and membrane metabolites (such as very-low/low density lipoproteins (VLDL/LDL), polyunsaturated fatty acids, etc.).

CONCLUSION

The metabolic disturbances not only found to be well in concordance with various previous reports, these further demonstrated very high sensitivity and specificity to distinguish SAR from TB patients suggesting serum metabolomics analysis can serve as surrogate method in the diagnosis and clinical management of SAR.

摘要

背景

肺结节病(SAR)和肺结核(TB)是两种肉芽肿性肺病,常常给治疗医生带来诊断上的挑战。

目的

本研究旨在探讨基于 NMR 的血清代谢组学方法在 SAR 与 TB 鉴别诊断中的应用潜力。

材料与方法

从三个研究组中获取血液样本:SAR(N=35)、TB(N=28)和健康正常对照组(NC,N=56),并采用 800 MHz NMR 谱仪上的 1D H CPMG(Carr-Purcell-Meiboom-Gill)NMR 谱记录其血清代谢谱。采用单变量和多变量统计分析方法对定量代谢谱进行比较,并采用受试者工作特征(ROC)曲线分析评估其诊断潜力。

结果

与 SAR 相比,TB 患者的血清特征为:(a)乳酸、乙酸、3-羟基丁酸(3HB)、谷氨酸和琥珀酸水平升高;(b)葡萄糖、柠檬酸、丙酮酸、谷氨酰胺和几种脂质和膜代谢物(如极低/低密度脂蛋白(VLDL/LDL)、多不饱和脂肪酸等)水平降低。

结论

这些代谢紊乱不仅与先前的各种报道非常吻合,而且进一步证明了其在 SAR 与 TB 患者鉴别诊断中具有很高的灵敏度和特异性,表明血清代谢组学分析可作为 SAR 诊断和临床管理的替代方法。

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