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Wang F, Zhao D, Xu WY, Liu Y, Sun H, Lu S, Ji Y, Jiang J, Chen Y, He Q, Gong C, Liu R, Su Z, Dong Y, Yan Z, Liu L. Blood leukocytes as a non-invasive diagnostic tool for thyroid nodules: a prospective cohort study. BMC Med 2024; 22:147. [PMID: 38561764 PMCID: PMC10986011 DOI: 10.1186/s12916-024-03368-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 03/22/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Thyroid nodule (TN) patients in China are subject to overdiagnosis and overtreatment. The implementation of existing technologies such as thyroid ultrasonography has indeed contributed to the improved diagnostic accuracy of TNs. However, a significant issue persists, where many patients undergo unnecessary biopsies, and patients with malignant thyroid nodules (MTNs) are advised to undergo surgery therapy. METHODS This study included a total of 293 patients diagnosed with TNs. Differential methylation haplotype blocks (MHBs) in blood leukocytes between MTNs and benign thyroid nodules (BTNs) were detected using reduced representation bisulfite sequencing (RRBS). Subsequently, an artificial intelligence blood leukocyte DNA methylation (BLDM) model was designed to optimize the management and treatment of patients with TNs for more effective outcomes. RESULTS The DNA methylation profiles of peripheral blood leukocytes exhibited distinctions between MTNs and BTNs. The BLDM model we developed for diagnosing TNs achieved an area under the curve (AUC) of 0.858 in the validation cohort and 0.863 in the independent test cohort. Its specificity reached 90.91% and 88.68% in the validation and independent test cohorts, respectively, outperforming the specificity of ultrasonography (43.64% in the validation cohort and 47.17% in the independent test cohort), albeit with a slightly lower sensitivity (83.33% in the validation cohort and 82.86% in the independent test cohort) compared to ultrasonography (97.62% in the validation cohort and 100.00% in the independent test cohort). The BLDM model could correctly identify 89.83% patients whose nodules were suspected malignant by ultrasonography but finally histological benign. In micronodules, the model displayed higher specificity (93.33% in the validation cohort and 92.00% in the independent test cohort) and accuracy (88.24% in the validation cohort and 87.50% in the independent test cohort) for diagnosing TNs. This performance surpassed the specificity and accuracy observed with ultrasonography. A TN diagnostic and treatment framework that prioritizes patients is provided, with fine-needle aspiration (FNA) biopsy performed only on patients with indications of MTNs in both BLDM and ultrasonography results, thus avoiding unnecessary biopsies. CONCLUSIONS This is the first study to demonstrate the potential of non-invasive blood leukocytes in diagnosing TNs, thereby making TN diagnosis and treatment more efficient in China.
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Affiliation(s)
- Feihang Wang
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- National Clinical Research Center for Interventional Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, China
| | - Danyang Zhao
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- National Clinical Research Center for Interventional Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, China
| | - Wang-Yang Xu
- Singlera Genomics (Shanghai) Ltd., Shanghai, 201203, China
| | - Yiying Liu
- Singlera Genomics (Shanghai) Ltd., Shanghai, 201203, China
| | - Huiyi Sun
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- National Clinical Research Center for Interventional Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, China
| | - Shanshan Lu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yuan Ji
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jingjing Jiang
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yi Chen
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- National Clinical Research Center for Interventional Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, China
| | - Qiye He
- Singlera Genomics (Shanghai) Ltd., Shanghai, 201203, China
| | | | - Rui Liu
- Singlera Genomics (Shanghai) Ltd., Shanghai, 201203, China
| | - Zhixi Su
- Singlera Genomics (Shanghai) Ltd., Shanghai, 201203, China.
| | - Yi Dong
- Department of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Zhiping Yan
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- National Clinical Research Center for Interventional Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Shanghai Institute of Medical Imaging, Shanghai, 200032, China.
| | - Lingxiao Liu
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- National Clinical Research Center for Interventional Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Shanghai Institute of Medical Imaging, Shanghai, 200032, China.
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Chai R, Zhou C, Hu Z, Hu J. Diagnostic predictability of serum miR-4793-3p and miR-1180-3p expression in community-acquired pneumonia. Biomark Med 2024; 18:231-241. [PMID: 38456294 PMCID: PMC11216277 DOI: 10.2217/bmm-2023-0463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 12/07/2023] [Indexed: 03/09/2024] Open
Abstract
Background: Early identification of community-acquired pneumonia (CAP) is crucial to prevent severe progression. Methods: The authors enrolled 150 hospitalized CAP patients and collected clinicopathologic features and blood indicators. Plasma miRNA profiling was conducted using microarray detection, and selected miRNAs were tested with reverse transcription quantitative PCR. Predictive models were built using least shrinkage and selection operator regression. Results: Least shrinkage and selection operator regression identified two miRNAs (miR-4793-3p and miR-1180-3p) that distinguished mild from severe CAP patients (area under the curve = 0.948). The miRNA model outperformed D-dimer, platelet and procalcitonin (max area under the curve = 0.729). Conclusion: Increased levels of miR-4793-3p and miR-1180-3p may indicate severe pneumonia development. Plasma miRNA profiling enables early prediction of severe CAP, aiding therapeutic decisions.
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Affiliation(s)
- Rong Chai
- Department of Respiratory & Critical Care Medicine, Changhai Hospital, Navy Military Medical University, No. 168 Changhai RD, Yangpu District, Shanghai, P.R. China
| | - Cihang Zhou
- Department of General Practice Teaching & Research Office, Changhai Hospital, Navy Military Medical University, No. 168 Changhai RD, Yangpu District, Shanghai, P.R. China
| | - Zhenli Hu
- Department of Respiratory & Critical Care Medicine, Changhai Hospital, Navy Military Medical University, No. 168 Changhai RD, Yangpu District, Shanghai, P.R. China
| | - Jingjing Hu
- Department of Clinical Laboratory, Changhai Hospital, Navy Military Medical University, No. 168 Changhai RD, Yangpu District, Shanghai, P.R. China
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Wang H, Lin X, Wang X, Liu X, He S, Lyu G. Maternal body fluid lncRNAs serve as biomarkers to diagnose ventricular septal defect: from amniotic fluid to plasma. Front Genet 2023; 14:1254829. [PMID: 37745849 PMCID: PMC10516564 DOI: 10.3389/fgene.2023.1254829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 08/21/2023] [Indexed: 09/26/2023] Open
Abstract
Background: Maternal body fluids contain abundant cell-free fetal RNAs which have the potential to serve as indicators of fetal development and pathophysiological conditions. In this context, this study aimed to explore the potential diagnostic value of maternal circulating long non-coding RNAs (lncRNAs) in ventricular septal defect (VSD). Methods: The potential of lncRNAs as non-invasive prenatal biomarkers for VSD was evaluated using quantitative polymerase chain reaction (qPCR) and receiver operating characteristic (ROC) curve analysis. The biological processes and regulatory network of these lncRNAs were elucidated through bioinformatics analysis. Results: Three lncRNAs (LINC00598, LINC01551, and GATA3-AS1) were found to be consistent in both maternal plasma and amniotic fluid. These lncRNAs exhibited strong diagnostic performance for VSD, with AUC values of 0.852, 0.957, and 0.864, respectively. The bioinformatics analysis revealed the involvement of these lncRNAs in heart morphogenesis, actin cytoskeleton organization, cell cycle regulation, and protein binding through a competitive endogenous RNA (ceRNA) network at the post-transcriptional level. Conclusion: The cell-free lncRNAs present in the amniotic fluid have the potential to be released into the maternal circulation, making them promising candidates for investigating epigenetic regulation in VSD.
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Affiliation(s)
- Huaming Wang
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Xi Lin
- Department of Diagnostic Radiology, Fujian Cancer Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Xinda Wang
- Department of Radiology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Xinxiu Liu
- Department of Medical Ultrasound, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Shaozheng He
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Guorong Lyu
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
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Liu D, Li X, Zeng B, Zhao Q, Chen H, Zhang Y, Chen Y, Wang J, Xing HR. Exosomal microRNA-4535 of Melanoma Stem Cells Promotes Metastasis by Inhibiting Autophagy Pathway. Stem Cell Rev Rep 2023; 19:155-169. [PMID: 35296991 DOI: 10.1007/s12015-022-10358-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/23/2022] [Indexed: 01/29/2023]
Abstract
High mortality rate and poor survival in melanoma are associated with efficient metastatic colonization. The underlying mechanisms remain elusive. Elucidating the role of exosomes in mediating the interactions between cancer cells and the metastatic microenvironment has been focused on cancer cell derived exosomes in modulating the functions of stromal cells. Whether cancer stem cells (CSCs) can modify the metastatic properties of non-CSC cells, and whether exosomal crosstalk plays a role have not been demonstrated prior to this report. In this study, a paired M14 melanoma derivative cell line, i.e., melanoma parental cell (MPC) and its CSC derivative cell line melanoma stem cell (MSC) were employed. We demonstrated that exosomal crosstalk betwen MSCs and non-CSC MPCs is a new mechanism that underlies melanoma metastasis. Low metastatic melanoma cells (MPCs) can acquire the "metastatic power" from highly metastatic melanoma CSCs (MSCs). We illustrated an uncharacterized microRNA, miR-4535 in mediating such exosomal crosstalk. MSCs deliver its exosomal miR-4535 to the targeted MPCs. Upon entering MPCs, miR-4535 augments metastatic colonization of MPCs by inactivating the autophagy pathway.
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Affiliation(s)
- Doudou Liu
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China.,Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China
| | - Xiaoshuang Li
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China.,Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China
| | - Bin Zeng
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China.,Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China
| | - Qiting Zhao
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China.,Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China
| | - Hao Chen
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China.,Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China
| | - Yuhan Zhang
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China.,Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China
| | - Yuting Chen
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China.,Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China
| | - Jianyu Wang
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China.
| | - H Rosie Xing
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China.
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