Joshi Radha, Goswami Debosmita, Saha Panchali, Hole Arti, Mandhare Poonam, Wadke Rishikesh, Murthy Prabhatha Rashmi, Borgohain Shyamdeep, C Murali Krishna, Kapoor Sudhir
Sri Sathya Sai Sanjeevani Research Centre, Sri Sathya Sai Sanjeevani Research Foundation, Plot No. 2, Sector 38, Kharghar, Navi Mumbai, 410210, Maharashtra, India.
Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Sector 22, Utsav Chowk - CISF Road, Owe Camp, Kharghar, Navi Mumbai, 410210, Maharashtra, India.
Heliyon. 2024 Jul 14;10(16):e34575. doi: 10.1016/j.heliyon.2024.e34575. eCollection 2024 Aug 30.
In the present study, efficacy of minimally-invasive serum Raman spectroscopy (SRS) in stratification of congenital heart diseases was explored. Blood was collected from 62 subjects [42 congenital heart defect (CHD) patients (19 with atrial septal defect, 13 with ventricular septal defect and 10 with tetralogy of fallot) and 20 controls], and serum separated. Raman spectra of sera were recorded, pre-processed and subjected to spectral and multivariate analyses. Multivariate curve resolution-alternating least squares (MCR-ALS) analyses indicated alterations in lipid and protein levels between the study groups. Principal Component Analysis (PCA) and Principal Component based Linear Discriminant Analysis (PC-LDA), cross-validated with Leave-one-out cross validation (LOOCV), were employed to study stratification between the different groups. CHD could be classified from controls with 76 % efficiency. The different CHD subtypes could be distinguished with efficiencies as high as ∼90 %. To the best of our knowledge, differentiation between controls and CHDs as well as the stratification between controls and CHDs subtypes was for the first time successfully accomplished by serum-based Raman spectroscopy.
在本研究中，探讨了微创血清拉曼光谱（SRS）在先天性心脏病分层中的功效。从62名受试者[42名先天性心脏病（CHD）患者（19名房间隔缺损、13名室间隔缺损和10名法洛四联症）和20名对照]中采集血液，并分离血清。记录血清的拉曼光谱，进行预处理，然后进行光谱和多变量分析。多变量曲线分辨交替最小二乘法（MCR-ALS）分析表明，研究组之间脂质和蛋白质水平存在变化。采用主成分分析（PCA）和基于主成分的线性判别分析（PC-LDA），并通过留一法交叉验证（LOOCV）进行交叉验证，以研究不同组之间的分层。CHD与对照组的分类效率为76%。不同的CHD亚型可以以高达约90%的效率区分。据我们所知，基于血清的拉曼光谱首次成功实现了对照组与CHD之间的区分以及对照组与CHD亚型之间的分层。
