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Healthcare Engineering JO. Retracted: The Effect of Suppression Taurine on Relocation and Epithelial-Mesenchymal Transition in Mankind Lung Cancer Cells. JOURNAL OF HEALTHCARE ENGINEERING 2023; 2023:9893582. [PMID: 37829413 PMCID: PMC10567361 DOI: 10.1155/2023/9893582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 10/03/2023] [Indexed: 10/14/2023]
Abstract
[This retracts the article DOI: 10.1155/2021/6656080.].
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Sun D, Zhang Y, Wang D, Zhao X, Han R, Li N, Li X, Li T, Wang P, Jia Q, Tan J, Zheng W, Song L, Meng Z. Experimental study on changes in metabolic mechanism of papillary thyroid carcinoma complicated with Hashimoto's thyroiditis. Heliyon 2023; 9:e20661. [PMID: 37860538 PMCID: PMC10582305 DOI: 10.1016/j.heliyon.2023.e20661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 10/02/2023] [Accepted: 10/03/2023] [Indexed: 10/21/2023] Open
Abstract
Background Whether the mechanism of thyroid papillary carcinoma (PTC) is the same in patients with a Hashimoto's thyroiditis (HT) background as compared with patients with a normal background remains a highly debated and controversial issue. In this study, we aimed to analyze the differences and similarities of the metabolic mechanism of PTC in normal and HT background, and to explore the relationship between HT and PTC. Methods The ultra performance liquid chromatography-quadrupole-time of flight-mass spectrometry (UPLC-Q-TOF/MS) technology was used to analyze 61 PTC patient tissues (31 HT background and 30 normal tissue (NC) background). Potential biomarkers were screened from principal component analysis (PCA) to orthogonal partial least square (OPLS) discriminant analysis. HMDB was searched to identify potential differential metabolites and final metabolic pathway analysis was performed by MetaboAnalyst 5.0. We analyzed the differential metabolites diagnostic accuracy through receiver operating characteristic (ROC) curves analysis. Results Seven different metabolites were screened from HT group and NC group, including arginine, glutamic acid, cysteine, citric acid, malic acid, uracil and taurine. Logistic regression model combined with ROC analysis of these 7 biomarkers had good discriminability for PTC (area under operating characteristic curve of HT group and NC group were 0.867 and 0.973, respectively). The HT group had specific metabolic pathways, including aminoacyl-tRNA biosynthesis, glycine, serine and threonine metabolism. Conclusions The metabolic profiles of the NC and HT groups had important similarities and differences in PTC. The correlation of PTC with HT may be related to aminoacyl-tRNA biosynthesis, serine and threonine metabolism.
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Affiliation(s)
- Danyang Sun
- Department of Nuclear Medicine, Tianjin Medical University General Hospital Airport Site, Tianjin, China
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Yujie Zhang
- Department of Pathology, Tianjin Medical University General Hospital, Tianjin, China
- Department of Pathology, Tianjin First Central Hospital, Tianjin, China
| | - Dan Wang
- Department of Pathology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xue Zhao
- Department of Pathology, Tianjin Medical University General Hospital, Tianjin, China
| | - Rui Han
- School of Traditional Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Ning Li
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Xue Li
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Tingwei Li
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Peng Wang
- Tianjin Shangmei Cosmetics Co., Ltd, Tianjin, China
| | - Qiang Jia
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Jian Tan
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Wei Zheng
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Lili Song
- School of Traditional Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Zhaowei Meng
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, China
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Zhu S, Han X, Yang R, Tian Y, Zhang Q, Wu Y, Dong S, Zhang B. Metabolomics study of ribavirin in the treatment of orthotopic lung cancer based on UPLC-Q-TOF/MS. Chem Biol Interact 2023; 370:110305. [PMID: 36529159 DOI: 10.1016/j.cbi.2022.110305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 12/06/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022]
Abstract
Ribavirin is a common antiviral drug, especially for patients with hepatitis C. Our recent studies demonstrated that ribavirin showed anti-tumor activity in colorectal cancer and hepatocellular carcinoma, but its effects on lung cancer remains unclear. This study aimed to evaluate the anti-tumor activity of ribavirin against lung cancer and elucidate the underlying mechanism. We established orthotopic mouse model of lung cancer (LLC and GLC-82) and employed an ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS)-based metabolomics approach. We found that ribavirin significantly inhibited the proliferation and colony formation of lung cancer cells. Tumor sizes of orthotopic lung cancer in ribavirin-treated groups were also significantly lower than those in control groups. Metabolomics analysis revealed that ribavirin mainly affected 5 metabolic pathways in orthotopic lung tumor models, taurine and hypotaurine metabolism, nicotinate and nicotinamide metabolism, linoleic acid metabolism, arginine biosynthesis and arachidonic acid metabolism. Furthermore, we identified 5 upregulated metabolites including β-nicotinamide adenine dinucleotide (NAD+), nicotinamide (NAM), taurine, ornithine and citrulline, and 7 downregulated metabolites including 1-methylnicotinamide (MNAM), S-adenosyl-l-homocysteine (SAH), N1-Methyl-2-pyridone-5-carboxamide (2PY), homocysteine (Hcy), linoleic acid, arachidonic acid (AA) and argininosuccinic acid in ribavirin-treated groups. These results provide new insight into the anti-tumor mechanism of ribavirin for lung cancer.
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Affiliation(s)
- Shihao Zhu
- Department of Pharmacology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Xiang Han
- Department of Pharmacology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Ruiying Yang
- Department of Pharmacology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Yizhen Tian
- Department of Pharmacology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Qingqing Zhang
- Department of Pharmacology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Yongjie Wu
- Department of Pharmacology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Shuhong Dong
- Department of Pharmacology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China.
| | - Baolai Zhang
- Department of Pharmacology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China.
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Liu B, Li Y, Suo L, Zhang W, Cao H, Wang R, Luan J, Yu X, Dong L, Wang W, Xu S, Lu S, Shi M. Characterizing microbiota and metabolomics analysis to identify candidate biomarkers in lung cancer. Front Oncol 2022; 12:1058436. [PMID: 36457513 PMCID: PMC9705781 DOI: 10.3389/fonc.2022.1058436] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 11/01/2022] [Indexed: 09/21/2023] Open
Abstract
BACKGROUND Lung cancer is the leading malignant disease and cause of cancer-related death worldwide. Most patients with lung cancer had insignificant early symptoms so that most of them were diagnosed at an advanced stage. In addition to factors such as smoking, pollution, lung microbiome and its metabolites play vital roles in the development of lung cancer. However, the interaction between lung microbiota and carcinogenesis is lack of systematically characterized and controversial. Therefore, the purpose of this study was to excavate the features of the lung microbiota and metabolites in patients and verify potential biomarkers for lung cancer diagnosis. METHODS Lung tissue flushing solutions and bronchoalveolar lavage fluid samples came from patients with lung cancer and non-lung cancer. The composition and variations of the microbiota and metabolites in samples were explored using muti-omics technologies including 16S rRNA amplicon sequencing, metagenomics and metabolomics. RESULTS The metabolomics analysis indicated that 40 different metabolites, such as 9,10-DHOME, sphingosine, and cysteinyl-valine, were statistically significant between two groups (VIP > 1 and P < 0.05). These metabolites were significantly enriched into 11 signal pathways including sphingolipid, autophagy and apoptosis signaling pathway (P < 0.05). The analysis of lung microbiota showed that significant changes reflected the decrease of microbial diversity, changes of distribution of microbial taxa, and variability of the correlation networks of lung microbiota in lung cancer patients. In particular, we found that oral commensal microbiota and multiple probiotics might be connected with the occurrence and progression of lung cancer. Moreover, our study found 3 metabolites and 9 species with significantly differences, which might be regarded as the potential clinical diagnostic markers associated with lung cancer. CONCLUSIONS Lung microbiota and metabolites might play important roles in the pathogenesis of lung cancer, and the altered metabolites and microbiota might have the potential to be clinical diagnostic markers and therapeutic targets associated with lung cancer.
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Affiliation(s)
- Bo Liu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
- Department of Pulmonary and Critical Care Medicine, Department of Clinical Microbiology, Zibo City Key Laboratory of Respiratory Infection and Clinical Microbiology, Zibo City Engineering Technology Research Center of Etiology Molecular Diagnosis, Zibo Municipal Hospital, Zibo, China
- Shandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, China
- Department of Pulmonary and Critical Care Medicine, Shandong Institute of Respiratory Diseases, The First Affiliated Hospital of Shandong First Medical University, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, China
| | - Yige Li
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
| | - Lijun Suo
- Department of Pulmonary and Critical Care Medicine, Department of Clinical Microbiology, Zibo City Key Laboratory of Respiratory Infection and Clinical Microbiology, Zibo City Engineering Technology Research Center of Etiology Molecular Diagnosis, Zibo Municipal Hospital, Zibo, China
- Shandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, China
| | - Wei Zhang
- Department of Thoracic Surgery, Zibo Municipal Hospital, Zibo, China
| | - Hongyun Cao
- Department of Pulmonary and Critical Care Medicine, Department of Clinical Microbiology, Zibo City Key Laboratory of Respiratory Infection and Clinical Microbiology, Zibo City Engineering Technology Research Center of Etiology Molecular Diagnosis, Zibo Municipal Hospital, Zibo, China
- Shandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, China
| | - Ruicai Wang
- Department of Pathology, Zibo Municipal Hospital, Zibo, China
| | - Jiahui Luan
- Department of Pulmonary and Critical Care Medicine, Department of Clinical Microbiology, Zibo City Key Laboratory of Respiratory Infection and Clinical Microbiology, Zibo City Engineering Technology Research Center of Etiology Molecular Diagnosis, Zibo Municipal Hospital, Zibo, China
- Shandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, China
| | - Xiaofeng Yu
- Department of Pulmonary and Critical Care Medicine, Department of Clinical Microbiology, Zibo City Key Laboratory of Respiratory Infection and Clinical Microbiology, Zibo City Engineering Technology Research Center of Etiology Molecular Diagnosis, Zibo Municipal Hospital, Zibo, China
- Shandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, China
| | - Liang Dong
- Department of Pulmonary and Critical Care Medicine, Shandong Institute of Respiratory Diseases, The First Affiliated Hospital of Shandong First Medical University, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, China
| | - Wenjing Wang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
| | - Shiyang Xu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
- Shandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, China
| | - Shiyong Lu
- Shandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, China
| | - Mei Shi
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
- Shandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, China
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Yousuf M, Shamsi A, Mohammad T, Azum N, Alfaifi SYM, Asiri AM, Mohamed Elasbali A, Islam A, Hassan MI, Haque QMR. Inhibiting Cyclin-Dependent Kinase 6 by Taurine: Implications in Anticancer Therapeutics. ACS OMEGA 2022; 7:25844-25852. [PMID: 35910117 PMCID: PMC9330843 DOI: 10.1021/acsomega.2c03479] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 07/04/2022] [Indexed: 06/15/2023]
Abstract
Cyclin-dependent kinase 6 (CDK6) is linked with a cyclin partner and plays a crucial role in the early stages of cancer development. It is currently a potential drug target for developing therapeutic molecules targeting cancer therapy. Here, we have identified taurine as an inhibitor of CDK6 using combined in silico and experimental studies. We performed various experiments to find the binding affinity of taurine with CDK6. Molecular docking analysis revealed critical residues of CDK6 that are involved in taurine binding. Fluorescence measurement studies showed that taurine binds to CDK6 with a significant binding affinity, with a binding constant of K = 0.7 × 107 M-1 for the CDK6-taurine complex. Enzyme inhibition assay suggested taurine as a good inhibitor of CDK6 possessing an IC50 value of 4.44 μM. Isothermal titration calorimetry analysis further confirmed a spontaneous binding of taurine with CDK6 and delineated the thermodynamic parameters for the CDK6-taurine system. Altogether, this study established taurine as a CDK6 inhibitor, providing a base for using taurine and its derivatives in CDK6-associated cancer and other diseases.
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Affiliation(s)
- Mohd Yousuf
- Department
of Biosciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Anas Shamsi
- Centre
for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
- Centre
of
Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates
| | - Taj Mohammad
- Centre
for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Naved Azum
- Center
of Excellence for Advanced Materials Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Chemistry
Department, Faculty of Science, King Abdulaziz
University, Jeddah 21589, Saudi Arabia
| | - Sulaiman Y. M. Alfaifi
- Chemistry
Department, Faculty of Science, King Abdulaziz
University, Jeddah 21589, Saudi Arabia
| | - Abdullah M. Asiri
- Center
of Excellence for Advanced Materials Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Chemistry
Department, Faculty of Science, King Abdulaziz
University, Jeddah 21589, Saudi Arabia
| | - Abdelbaset Mohamed Elasbali
- Clinical
Laboratory Science, College of Applied Sciences-Qurayyat, Jouf University, Sakaka 72388, Saudi Arabia
| | - Asimul Islam
- Centre
for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Md Imtaiyaz Hassan
- Centre
for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
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