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Serum-plasma matched metabolomics for comprehensive characterization of benign thyroid nodule and papillary thyroid carcinoma
Authors:Feng-Qing Huang  Jing Li  Lin Jiang  Feng-Xiang Wang  Raphael N. Alolga  Ma-Jie Wang  Wen-Jian Min  Gaoxiang Ma  Yi-Jing Zhao  Shi-Lei Wang  Yuan Yu  Xiang Chen  Danxia Zhu  Jun Zhu  Guangzhou Wang  Tiansong Xia  Jian-Feng Sang  Mao-De Lai  Ping Li  Wei Zhu  Lian-Wen Qi
Affiliation:1. State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China;2. The Clinical Metabolomics Center, China Pharmaceutical University, Nanjing, Jiangsu, China;3. Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China;4. Department of General Surgery, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, China;5. Department of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China;6. Department of Radiation Oncology, Jiangsu Cancer Hospital, Nanjing, China;7. Clinical Lab, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China;8. Department of Breast Surgery, Breast Disease Center of Jiangsu Province, First Affiliated Hospital of Nanjing Medical University, Nanjing, China;9. Department of General Surgery, Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China;10. Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
Abstract:
Metabolomics offers a noninvasive methodology to identify metabolic markers for pathogenesis and diagnosis of diseases. This work aimed to characterize circulating metabolic signatures of benign thyroid nodule (BTN) and papillary thyroid carcinoma (PTC) via serum-plasma matched metabolomics. A cohort of 1,540 serum-plasma matched samples and 114 tissues were obtained from healthy volunteers, BTN and PTC patients enrolled from 6 independent centers. Untargeted metabolomics was determined by liquid chromatography-quadrupole time-of-flight mass spectrometric and multivariate statistical analyses. The use of serum-plasma matched samples afforded a broad-scope detection of 1,570 metabolic features. Metabolic phenotypes revealed significant pattern differences for healthy versus BTN and healthy versus PTC. Perturbed metabolic pathways related mainly to amino acid and lipid metabolism. It is worth noting that, BTN and PTC showed no significant differences but rather overlap in circulating metabolic signatures, and this observation was replicated in all study centers. For differential diagnosis of healthy versus thyroid nodules (BTN + PTC), a panel of 6 metabolic markers, namely myo-inositol, α-N-phenylacetyl-L-glutamine, proline betaine, L-glutamic acid, LysoPC(18:0) and LysoPC(18:1) provided area under the curve of 97.68% in the discovery phase and predictive accuracies of 84.78–98.18% in the 4 validation centers. Taken together, serum-plasma matched metabolomics showed significant differences in circulating metabolites for healthy versus nodules but not for BTN versus PTC. Our results highlight the true metabolic nature of thyroid nodules, and potentially decrease overtreatment that exposes patients to unnecessary risks.
Keywords:metabolomics  biomarkers  non-invasive diagnosis  thyroid nodule  papillary thyroid carcinoma
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