NMR-based serum and muscle metabolomics for diagnosis and activity assessment in idiopathic inflammatory myopathies

IF 3 Q2 CHEMISTRY, ANALYTICAL Analytical science advances Pub Date : 2021-06-06 DOI:10.1002/ansa.202000171
Anupam Guleria, Umesh Kumar, Dinesh Kumar, Naveen R, Anamika Kumari Anuja, Mantabya Kumar Singh, Pulak Sharma, Vikas Agarwal, Ramnath Misra, Latika Gupta
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引用次数: 6

Abstract

Objectives

Differentiating smoldering disease activity from weakness due to fatty replacement of atrophied muscle can often be a challenge in the idiopathic inflammatory myositis (IIM). We aimed to identify the metabolic disturbances associated with IIM and if these changes can aid in the assessment of disease activity.

Methods

Metabolic profiles of sera (N = 99) and muscle (N = 21) from patients with IIM (ACR-EULAR criteria) were compared with healthy control (HC) samples (N = 75 for serum and N = 12 for muscle tissues) employing 800 MHz NMR (Nuclear Magnetic Resonance) spectroscopy. Metabolic disparity between IIM and HC was established based on Partial Least Squares Discriminant Analysis (PLS-DA) and the discriminatory metabolites were identified based on variable importance in projection (VIP) statistics (P-value < .05, corrected for false discovery rate (FDR)).

Results

Serum metabolomics profiles were distinctive in IIM as compared to HC, with a visible shift to anaerobic metabolism (increased lactate, low glucose), oxidative defect (high Phenylalanine/tyrosine), decreased muscle mass (low serum creatinine), increased muscle catabolism (increased branched-chain amino acids), and dyslipidemia (higher lipids, higher very low-density lipoprotein [VLDL]/low-density lipoprotein [LDL] ratio, lower polyunsaturated fatty acid [PUFA]). The sera of active IIM patients were characterized by anaerobic metabolism (low glucose), loss of muscle mass (low creatinine, amino acids), and oxidative defect (high Phenylalanine/tyrosine). Three metabolites (isopropanol, succinate, and glycine) were distinctive in muscle tissue metabolomics. NMR-based serum metabolic disparity was lacking between different clinical subsets of IIM.

Conclusion

Serum and muscle tissue metabolomics have the potential to distinguish (a) IIM from HC and (b) active IIM from inactive IIM irrespective of disease subtype.

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基于核磁共振的血清和肌肉代谢组学用于特发性炎性肌病的诊断和活动评估
在特发性炎性肌炎(IIM)中,鉴别由脂肪替代萎缩肌肉引起的阴燃性疾病活动性和虚弱常常是一个挑战。我们的目的是确定与IIM相关的代谢紊乱,以及这些变化是否有助于评估疾病活动。方法采用800 MHz核磁共振(NMR)波谱法对IIM (ACR-EULAR标准)患者血清(N = 99)和肌肉(N = 21)的代谢谱与健康对照(HC)血清(N = 75)和肌肉(N = 12)的代谢谱进行比较。基于偏最小二乘判别分析(PLS-DA)建立IIM和HC之间的代谢差异,并基于投影(VIP)统计变量重要性(p值<0.05,校正错误发现率(FDR))。结果与HC相比,IIM组的血清代谢组学特征明显,明显转变为无氧代谢(乳酸增加,低糖),氧化缺陷(苯丙氨酸/酪氨酸高),肌肉量减少(血清肌酐低),肌肉分解代谢增加(支链氨基酸增加),血脂异常(血脂升高,极低密度脂蛋白[VLDL]/低密度脂蛋白[LDL]比值升高)。低多不饱和脂肪酸[PUFA])。活动性IIM患者的血清特征为无氧代谢(低糖)、肌肉量损失(低肌酐、氨基酸)和氧化缺陷(高苯丙氨酸/酪氨酸)。三种代谢物(异丙醇、琥珀酸和甘氨酸)在肌肉组织代谢组学中是独特的。不同临床亚型IIM之间缺乏基于核磁共振的血清代谢差异。结论血清和肌肉组织代谢组学有可能区分(a) IIM和HC, (b)活性IIM和非活性IIM,而不考虑疾病亚型。
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