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Kole A, Bag AK, Pal AJ, De D. Generic model to unravel the deeper insights of viral infections: an empirical application of evolutionary graph coloring in computational network biology. BMC Bioinformatics 2024; 25:74. [PMID: 38365632 PMCID: PMC10874019 DOI: 10.1186/s12859-024-05690-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 02/02/2024] [Indexed: 02/18/2024] Open
Abstract
PURPOSE Graph coloring approach has emerged as a valuable problem-solving tool for both theoretical and practical aspects across various scientific disciplines, including biology. In this study, we demonstrate the graph coloring's effectiveness in computational network biology, more precisely in analyzing protein-protein interaction (PPI) networks to gain insights about the viral infections and its consequences on human health. Accordingly, we propose a generic model that can highlight important hub proteins of virus-associated disease manifestations, changes in disease-associated biological pathways, potential drug targets and respective drugs. We test our model on SARS-CoV-2 infection, a highly transmissible virus responsible for the COVID-19 pandemic. The pandemic took significant human lives, causing severe respiratory illnesses and exhibiting various symptoms ranging from fever and cough to gastrointestinal, cardiac, renal, neurological, and other manifestations. METHODS To investigate the underlying mechanisms of SARS-CoV-2 infection-induced dysregulation of human pathobiology, we construct a two-level PPI network and employed a differential evolution-based graph coloring (DEGCP) algorithm to identify critical hub proteins that might serve as potential targets for resolving the associated issues. Initially, we concentrate on the direct human interactors of SARS-CoV-2 proteins to construct the first-level PPI network and subsequently applied the DEGCP algorithm to identify essential hub proteins within this network. We then build a second-level PPI network by incorporating the next-level human interactors of the first-level hub proteins and use the DEGCP algorithm to predict the second level of hub proteins. RESULTS We first identify the potential crucial hub proteins associated with SARS-CoV-2 infection at different levels. Through comprehensive analysis, we then investigate the cellular localization, interactions with other viral families, involvement in biological pathways and processes, functional attributes, gene regulation capabilities as transcription factors, and their associations with disease-associated symptoms of these identified hub proteins. Our findings highlight the significance of these hub proteins and their intricate connections with disease pathophysiology. Furthermore, we predict potential drug targets among the hub proteins and identify specific drugs that hold promise in preventing or treating SARS-CoV-2 infection and its consequences. CONCLUSION Our generic model demonstrates the effectiveness of DEGCP algorithm in analyzing biological PPI networks, provides valuable insights into disease biology, and offers a basis for developing novel therapeutic strategies for other viral infections that may cause future pandemic.
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Affiliation(s)
- Arnab Kole
- Department of Computer Application, The Heritage Academy, Kolkata, W.B., 700107, India.
| | - Arup Kumar Bag
- Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA
| | | | - Debashis De
- Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Nadia, W.B., 741249, India
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Poddar NK, Khan A, Fatima F, Saxena A, Ghaley G, Khan S. Association of mTOR Pathway and Conformational Alterations in C-Reactive Protein in Neurodegenerative Diseases and Infections. Cell Mol Neurobiol 2023; 43:3815-3832. [PMID: 37665407 DOI: 10.1007/s10571-023-01402-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 08/15/2023] [Indexed: 09/05/2023]
Abstract
Inflammatory biomarkers have been very useful in detecting and monitoring inflammatory processes along with providing helpful information to select appropriate therapeutic strategies. C-reactive protein (CRP) is a nonspecific, but quite useful medical acute inflammatory biomarker and is associated with persistent chronic inflammatory processes. Several studies suggest that different levels of CRP are correlated with neurological disorders such as Alzheimer's disease (AD). However, dynamics of CRP levels have also been observed in virus/bacterial-related infections leading to inflammatory responses and this triggers mTOR-mediated pathways for neurodegeneration diseases. The biophysical structural transition from CRP to monomeric CRP (mCRP) and the significance of the ratio of CRP levels on the onset of symptoms associated with inflammatory response have been discussed. In addition, mTOR inhibitors act as immunomodulators by downregulating the expression of viral infection and can be explored as a potential therapy for neurological diseases.
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Affiliation(s)
- Nitesh Kumar Poddar
- Department of Biosciences, Manipal University Jaipur, Jaipur-Ajmer Express Highway, Dehmi Kalan, Near GVK Toll Plaza, Jaipur, Rajasthan, India, 303007.
| | - Arshma Khan
- Department of Biotechnology, Invertis University, Bareilly, Uttar Pradesh, India, 243123
| | - Falak Fatima
- Amity Institute of Biotechnology, Amity University, Uttar Pradesh, Noida, India, 201301
| | - Anshulika Saxena
- Department of Biosciences, Manipal University Jaipur, Jaipur-Ajmer Express Highway, Dehmi Kalan, Near GVK Toll Plaza, Jaipur, Rajasthan, India, 303007
| | - Garima Ghaley
- Department of Biosciences, Manipal University Jaipur, Jaipur-Ajmer Express Highway, Dehmi Kalan, Near GVK Toll Plaza, Jaipur, Rajasthan, India, 303007
| | - Shahanavaj Khan
- Department of Medical Lab Technology, Indian Institute of Health and Technology (IIHT), Deoband, Saharanpur, Uttar Pradesh, India, 247554.
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Gupta Y, Savytskyi OV, Coban M, Venugopal A, Pleqi V, Weber CA, Chitale R, Durvasula R, Hopkins C, Kempaiah P, Caulfield TR. Protein structure-based in-silico approaches to drug discovery: Guide to COVID-19 therapeutics. Mol Aspects Med 2023; 91:101151. [PMID: 36371228 PMCID: PMC9613808 DOI: 10.1016/j.mam.2022.101151] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 10/19/2022] [Accepted: 10/21/2022] [Indexed: 11/06/2022]
Abstract
With more than 5 million fatalities and close to 300 million reported cases, COVID-19 is the first documented pandemic due to a coronavirus that continues to be a major health challenge. Despite being rapid, uncontrollable, and highly infectious in its spread, it also created incentives for technology development and redefined public health needs and research agendas to fast-track innovations to be translated. Breakthroughs in computational biology peaked during the pandemic with renewed attention to making all cutting-edge technology deliver agents to combat the disease. The demand to develop effective treatments yielded surprising collaborations from previously segregated fields of science and technology. The long-standing pharmaceutical industry's aversion to repurposing existing drugs due to a lack of exponential financial gain was overrun by the health crisis and pressures created by front-line researchers and providers. Effective vaccine development even at an unprecedented pace took more than a year to develop and commence trials. Now the emergence of variants and waning protections during the booster shots is resulting in breakthrough infections that continue to strain health care systems. As of now, every protein of SARS-CoV-2 has been structurally characterized and related host pathways have been extensively mapped out. The research community has addressed the druggability of a multitude of possible targets. This has been made possible due to existing technology for virtual computer-assisted drug development as well as new tools and technologies such as artificial intelligence to deliver new leads. Here in this article, we are discussing advances in the drug discovery field related to target-based drug discovery and exploring the implications of known target-specific agents on COVID-19 therapeutic management. The current scenario calls for more personalized medicine efforts and stratifying patient populations early on for their need for different combinations of prognosis-specific therapeutics. We intend to highlight target hotspots and their potential agents, with the ultimate goal of using rational design of new therapeutics to not only end this pandemic but also uncover a generalizable platform for use in future pandemics.
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Affiliation(s)
- Yash Gupta
- Department of Medicine, Infectious Diseases, Mayo Clinic, Jacksonville, FL, USA
| | - Oleksandr V Savytskyi
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA; In Vivo Biosystems, Eugene, OR, USA
| | - Matt Coban
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA; Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA
| | | | - Vasili Pleqi
- Department of Medicine, Infectious Diseases, Mayo Clinic, Jacksonville, FL, USA
| | - Caleb A Weber
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Rohit Chitale
- Department of Medicine, Infectious Diseases, Mayo Clinic, Jacksonville, FL, USA; The Council on Strategic Risks, 1025 Connecticut Ave NW, Washington, DC, USA
| | - Ravi Durvasula
- Department of Medicine, Infectious Diseases, Mayo Clinic, Jacksonville, FL, USA
| | | | - Prakasha Kempaiah
- Department of Medicine, Infectious Diseases, Mayo Clinic, Jacksonville, FL, USA
| | - Thomas R Caulfield
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA; Department of QHS Computational Biology, Mayo Clinic, Jacksonville, FL, USA; Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA; Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA; Department of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA.
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Nagendra L, Bhattacharya S, Kalra S, Kapoor N. Metformin in COVID-19: Is There a Role Beyond Glycemic Control? Int J Endocrinol Metab 2023; 21:e132965. [PMID: 37654526 PMCID: PMC10467582 DOI: 10.5812/ijem-132965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 03/26/2023] [Accepted: 04/15/2023] [Indexed: 09/02/2023] Open
Abstract
Context The coronavirus disease 2019 (COVID-19) pandemic is still a cause of worldwide health concern. Diabetes and its associated comorbidities are risk factors for mortality and morbidity in COVID-19. Selecting the right antidiabetic drug to achieve optimal glycemic control might mitigate some of the negative impacts of diabetes. Metformin continues to be the most widely administered antidiabetic agent. There is evidence of its beneficial outcome in COVID-19 independent of its glucose-lowering effect. Evidence Acquisition A thorough literature search was conducted in PubMed, Google Scholar, Scopus, and Web of Science to identify studies investigating metformin in COVID-19. Results Several overlapping mechanisms have been proposed to explain its antiviral properties. It could bring about conformational changes in the angiotensin-converting enzyme-2 receptor and decrease viral entry. The effects on the mammalian target of the rapamycin pathway and cellular pH have been proposed to reduce viral protein synthesis and replication. The immunomodulatory effects of metformin might counter the detrimental effects of hyperinflammation associated with COVID-19. Conclusions These findings call for broader metformin usage to manage hyperglycemia in COVID-19.
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Affiliation(s)
- Lakshmi Nagendra
- Department of Endocrinology, JSS Medical College and Hospital, JSS Academy of Higher Education & Research (JSS AHER), Mysore, Karnataka, India
| | | | - Sanjay Kalra
- Department of Endocrinology, Bharti Hospital, Karnal, India
| | - Nitin Kapoor
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, India
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Pan T, Cao G, Tang E, Zhao Y, Penaloza-MacMaster P, Fang Y, Huang J. A single-cell atlas reveals shared and distinct immune responses and metabolic profiles in SARS-CoV-2 and HIV-1 infections. Front Genet 2023; 14:1105673. [PMID: 36992700 PMCID: PMC10040851 DOI: 10.3389/fgene.2023.1105673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 03/01/2023] [Indexed: 03/16/2023] Open
Abstract
Introduction: Within the inflammatory immune response to viral infection, the distribution and cell type-specific profiles of immune cell populations and the immune-mediated viral clearance pathways vary according to the specific virus. Uncovering the immunological similarities and differences between viral infections is critical to understanding disease progression and developing effective vaccines and therapies. Insight into COVID-19 disease progression has been bolstered by the integration of single-cell (sc)RNA-seq data from COVID-19 patients with data from related viruses to compare immune responses. Expanding this concept, we propose that a high-resolution, systematic comparison between immune cells from SARS-CoV-2 infection and an inflammatory infectious disease with a different pathophysiology will provide a more comprehensive picture of the viral clearance pathways that underscore immunological and clinical differences between infections. Methods: Using a novel consensus single-cell annotation method, we integrate previously published scRNA-seq data from 111,566 single PBMCs from 7 COVID-19, 10 HIV-1+, and 3 healthy patients into a unified cellular atlas. We compare in detail the phenotypic features and regulatory pathways in the major immune cell clusters. Results: While immune cells in both COVID-19 and HIV-1+ cohorts show shared inflammation and disrupted mitochondrial function, COVID-19 patients exhibit stronger humoral immunity, broader IFN-I signaling, elevated Rho GTPase and mTOR pathway activity, and downregulated mitophagy. Discussion: Our results indicate that differential IFN-I signaling regulates the distinct immune responses in the two diseases, revealing insight into fundamental disease biology and potential therapeutic candidates.
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Affiliation(s)
- Tony Pan
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United States
| | - Guoshuai Cao
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United States
| | - Erting Tang
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United States
| | - Yu Zhao
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United States
| | | | - Yun Fang
- Biological Sciences Division, University of Chicago, Chicago, IL, United States
| | - Jun Huang
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United States
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Jiang Y, Zhao T, Zhou X, Xiang Y, Gutierrez‐Castrellon P, Ma X. Inflammatory pathways in COVID‐19: Mechanism and therapeutic interventions. MedComm (Beijing) 2022; 3:e154. [PMID: 35923762 PMCID: PMC9340488 DOI: 10.1002/mco2.154] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/01/2022] [Accepted: 06/02/2022] [Indexed: 02/05/2023] Open
Abstract
The 2019 coronavirus disease (COVID‐19) pandemic has become a global crisis. In the immunopathogenesis of COVID‐19, SARS‐CoV‐2 infection induces an excessive inflammatory response in patients, causing an inflammatory cytokine storm in severe cases. Cytokine storm leads to acute respiratory distress syndrome, pulmonary and other multiorgan failure, which is an important cause of COVID‐19 progression and even death. Among them, activation of inflammatory pathways is a major factor in generating cytokine storms and causing dysregulated immune responses, which is closely related to the severity of viral infection. Therefore, elucidation of the inflammatory signaling pathway of SARS‐CoV‐2 is important in providing otential therapeutic targets and treatment strategies against COVID‐19. Here, we discuss the major inflammatory pathways in the pathogenesis of COVID‐19, including induction, function, and downstream signaling, as well as existing and potential interventions targeting these cytokines or related signaling pathways. We believe that a comprehensive understanding of the regulatory pathways of COVID‐19 immune dysregulation and inflammation will help develop better clinical therapy strategies to effectively control inflammatory diseases, such as COVID‐19.
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Affiliation(s)
- Yujie Jiang
- Laboratory of Aging Research and Cancer Drug Target State Key Laboratory of Biotherapy National Clinical Research Center for Geriatrics West China Hospital Sichuan University Chengdu PR China
| | - Tingmei Zhao
- Laboratory of Aging Research and Cancer Drug Target State Key Laboratory of Biotherapy National Clinical Research Center for Geriatrics West China Hospital Sichuan University Chengdu PR China
| | - Xueyan Zhou
- Laboratory of Aging Research and Cancer Drug Target State Key Laboratory of Biotherapy National Clinical Research Center for Geriatrics West China Hospital Sichuan University Chengdu PR China
| | - Yu Xiang
- Department of Biotherapy State Key Laboratory of Biotherapy Cancer Center West China Hospital Sichuan University Chengdu PR China
| | - Pedro Gutierrez‐Castrellon
- Center for Translational Research on Health Science Hospital General Dr. Manuel Gea Gonzalez Ministry of Health Mexico City Mexico
| | - Xuelei Ma
- Department of Biotherapy State Key Laboratory of Biotherapy Cancer Center West China Hospital Sichuan University Chengdu PR China
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Hesperetin as an anti-SARS-CoV-2 agent can inhibit COVID-19-associated cancer progression by suppressing intracellular signaling pathways. Inflammopharmacology 2022; 30:1533-1539. [PMID: 35994216 PMCID: PMC9393098 DOI: 10.1007/s10787-022-01054-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 08/06/2022] [Indexed: 12/23/2022]
Abstract
Hesperetin, an aglycone metabolite of hesperidin with high bioavailability, recently gained attention due to its anti-COVID-19 and anti-cancer properties. Multiple studies revealed that cancer patients are prone to experience a severe form of COVID-19 and higher mortality risk. In addition, studies suggested that COVID-19 can potentially lead to cancer progression through multiple mechanisms. This study proposes that hesperetin not only can be used as an anti-COVID-19 agent but also can reduce the risk of multiple cancer progression by suppressing several intracellular signaling pathways in cancer patients with COVID-19. Therefore, in this review, we attempted to provide evidence demonstrating anti-COVID-19/cancer properties of hesperetin with several mechanisms.
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Pan T, Cao G, Tang E, Zhao Y, Penaloza-MacMaster P, Fang Y, Huang J. A single-cell atlas reveals shared and distinct immune responses and metabolism during SARS-CoV-2 and HIV-1 infections. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2022:2022.01.10.475725. [PMID: 35043114 PMCID: PMC8764725 DOI: 10.1101/2022.01.10.475725] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
UNLABELLED SARS-CoV-2 and HIV-1 are RNA viruses that have killed millions of people worldwide. Understanding the similarities and differences between these two infections is critical for understanding disease progression and for developing effective vaccines and therapies, particularly for 38 million HIV-1 + individuals who are vulnerable to SARS-CoV-2 co-infection. Here, we utilized single-cell transcriptomics to perform a systematic comparison of 94,442 PBMCs from 7 COVID-19 and 9 HIV-1 + patients in an integrated immune atlas, in which 27 different cell types were identified using an accurate consensus single-cell annotation method. While immune cells in both cohorts show shared inflammation and disrupted mitochondrial function, COVID-19 patients exhibit stronger humoral immunity, broader IFN-I signaling, elevated Rho GTPase and mTOR pathway activities, and downregulated mitophagy. Our results elucidate transcriptional signatures associated with COVID-19 and HIV-1 that may reveal insights into fundamental disease biology and potential therapeutic targets to treat these viral infections. HIGHLIGHTS COVID-19 and HIV-1 + patients show disease-specific inflammatory immune signatures COVID-19 patients show more productive humoral responses than HIV-1 + patients SARS-CoV-2 elicits more enriched IFN-I signaling relative to HIV-IDivergent, impaired metabolic programs distinguish SARS-CoV-2 and HIV-1 infections.
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Qian C, Jiang L, Xu S, Wang J, Tan Z, Xin Y, Ge M. Advances in targeted therapy for anaplastic thyroid carcinoma. Zhejiang Da Xue Xue Bao Yi Xue Ban 2021; 50:685-693. [PMID: 35347921 PMCID: PMC8931613 DOI: 10.3724/zdxbyxb-2021-0249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 10/24/2021] [Indexed: 06/14/2023]
Abstract
Anaplastic thyroid carcinoma (ATC) is a highly malignant and aggressive thyroid malignancy with rapid onset and poor prognosis. There is no effective treatment for ATC yet. Molecular targeted therapy provides a new idea for ATC treatment. Tyrosine kinase inhibitor lenvatinib has potential in treating ATC patients with favorable efficacy in clinical trials. The effectiveness of the v-raf murine sarcoma viral oncogene homologue B1 () gene inhibitor dabrafenib in combination with trametinib for the treatment of positive ATC patients has been demonstrated in clinical trials. The has proposed dabrafenib in combination with trametinib as the preferred modality for the treatment of patients with positive ATC. The immune checkpoint inhibitor pembrolizumab can be applied to treat thyroid cancer with high tumor mutational load and may be considered as the preferred modality for the treatment of ATC patients with high programmed death ligand-1 expression. The mammalian target of rapamycin pathway inhibitors, peroxisome proliferators-activated receptor γ agonists, endothelial growth factor receptors-targeting monoclonal antibody cetuximab and novel vascular blocker fosbretabulin are still in the clinical research stage, which are expected to provide new directions for the development of novel targeted drugs. This article reviews the current research progress on targeted drugs for the treatment of ATC.
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Affiliation(s)
- Chenhong Qian
- 1. Graduate School, Bengbu Medical College, Bengbu 233030, Anhui Province, China
- 2. Department of Head and Neck Surgery, Center of Otolaryngology, Head and Neck Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Liehao Jiang
- 2. Department of Head and Neck Surgery, Center of Otolaryngology, Head and Neck Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
- 3. Zhejiang Provincial Key Laboratory of Endocrine Gland Diseases, Hangzhou 310014, China
| | - Shiying Xu
- 2. Department of Head and Neck Surgery, Center of Otolaryngology, Head and Neck Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
- 4. The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Jiafeng Wang
- 2. Department of Head and Neck Surgery, Center of Otolaryngology, Head and Neck Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
- 3. Zhejiang Provincial Key Laboratory of Endocrine Gland Diseases, Hangzhou 310014, China
| | - Zhuo Tan
- 2. Department of Head and Neck Surgery, Center of Otolaryngology, Head and Neck Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
- 3. Zhejiang Provincial Key Laboratory of Endocrine Gland Diseases, Hangzhou 310014, China
| | - Ying Xin
- 2. Department of Head and Neck Surgery, Center of Otolaryngology, Head and Neck Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
- 3. Zhejiang Provincial Key Laboratory of Endocrine Gland Diseases, Hangzhou 310014, China
| | - Minghua Ge
- 1. Graduate School, Bengbu Medical College, Bengbu 233030, Anhui Province, China
- 2. Department of Head and Neck Surgery, Center of Otolaryngology, Head and Neck Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
- 3. Zhejiang Provincial Key Laboratory of Endocrine Gland Diseases, Hangzhou 310014, China
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