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Kamińska K, Świderska B, Malinowska A, Grzesiak M. Tandem mass tag-based proteomic analysis of granulosa and theca interna cells of the porcine ovarian follicle following in vitro treatment with vitamin D 3 and insulin alone or in combination. J Proteomics 2024; 310:105318. [PMID: 39284438 DOI: 10.1016/j.jprot.2024.105318] [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: 06/19/2024] [Revised: 09/08/2024] [Accepted: 09/11/2024] [Indexed: 09/19/2024]
Abstract
This study was performed to investigate the proteomic basis underlying the interaction between vitamin D3 (VD) and insulin (I) within ovarian follicle using the pig as a model. Porcine antral follicles were incubated in vitro for 12 h with VD alone and I alone or in combination (VD + I) or with no treatment as the control (C). In total, 7690 and 7467 proteins were identified in the granulosa and theca interna compartments, respectively. Comparative proteomic analysis revealed 97 differentially abundant proteins (DAPs) within the granulosa layer and 11 DAPs within the theca interna layer. In the granulosa compartment, VD affected proteome leading to the promotion of cell proliferation, whereas I influenced mainly proteins related to cellular adhesion. The VD + I treatment induced granulosa cell proliferation probably via the DAPs involved in DNA synthesis and the cell cycle regulation. In the theca interna layer, VD alone or in co-treatment with I affected DAPs associated with cholesterol transport and lipid and steroid metabolic processes that was further confirmed by diminished lipid droplet accumulation. SIGNIFICANCE: The application of quantitative proteomics demonstrated for the first time the complexity of VD and I interactions in porcine ovarian follicle, providing a framework for understanding the molecular mechanisms underlying their cross-talk. Although identified DAPs were related to crucial ovarian processes, including the granulosa cell proliferation and cholesterol transport in the theca interna layer, novel molecular pathways underlying these processes have been proposed. The identified unique proteins may serve as indicators of VD and I interactions in both follicle layers, and could be useful biomarkers of ovarian pathologies characterized by impaired VD and I levels, such as polycystic ovary syndrome.
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Affiliation(s)
- Kinga Kamińska
- Department of Endocrinology, Institute of Zoology and Biomedical Research, Faculty of Biology, Jagiellonian University, Gronostajowa 9, 30-387 Krakow, Poland; Doctoral School of Exact and Natural Sciences, Jagiellonian University, Krakow, Poland
| | - Bianka Świderska
- Mass Spectrometry Laboratory, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawinskiego 5a, 02-106 Warsaw, Poland
| | - Agata Malinowska
- Mass Spectrometry Laboratory, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawinskiego 5a, 02-106 Warsaw, Poland
| | - Małgorzata Grzesiak
- Department of Endocrinology, Institute of Zoology and Biomedical Research, Faculty of Biology, Jagiellonian University, Gronostajowa 9, 30-387 Krakow, Poland.
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Barboza BR, Macedo-da-Silva J, Silva LAMT, Gomes VDM, Santos DM, Marques-Neto AM, Mule SN, Angeli CB, Borsoi J, Moraes CB, Moutinho-Melo C, Mühlenhoff M, Colli W, Marie SKN, Pereira LDV, Alves MJM, Palmisano G. ST8Sia2 polysialyltransferase protects against infection by Trypanosoma cruzi. PLoS Negl Trop Dis 2024; 18:e0012454. [PMID: 39321148 PMCID: PMC11466412 DOI: 10.1371/journal.pntd.0012454] [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: 12/06/2023] [Revised: 10/10/2024] [Accepted: 08/13/2024] [Indexed: 09/27/2024] Open
Abstract
Glycosylation is one of the most structurally and functionally diverse co- and post-translational modifications in a cell. Addition and removal of glycans, especially to proteins and lipids, characterize this process which has important implications in several biological processes. In mammals, the repeated enzymatic addition of a sialic acid unit to underlying sialic acids (Sia) by polysialyltransferases, including ST8Sia2, leads to the formation of a sugar polymer called polysialic acid (polySia). The functional relevance of polySia has been extensively demonstrated in the nervous system. However, the role of polysialylation in infection is still poorly explored. Previous reports have shown that Trypanosoma cruzi (T. cruzi), a flagellated parasite that causes Chagas disease (CD), changes host sialylation of glycoproteins. To understand the role of host polySia during T. cruzi infection, we used a combination of in silico and experimental tools. We observed that T. cruzi reduces both the expression of the ST8Sia2 and the polysialylation of target substrates. We also found that chemical and genetic inhibition of host ST8Sia2 increased the parasite load in mammalian cells. We found that modulating host polysialylation may induce oxidative stress, creating a microenvironment that favors T. cruzi survival and infection. These findings suggest a novel approach to interfere with parasite infections through modulation of host polysialylation.
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Affiliation(s)
- Bruno Rafael Barboza
- GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Janaina Macedo-da-Silva
- GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | | | - Vinícius de Morais Gomes
- GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Deivid Martins Santos
- GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Antônio Moreira Marques-Neto
- GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Simon Ngao Mule
- GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Claudia Blanes Angeli
- GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Juliana Borsoi
- Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
| | - Carolina Borsoi Moraes
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - Cristiane Moutinho-Melo
- Laboratory of Vaccine Development, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
- Laboratory of Immunological and Antitumor Analysis, Department of Antibiotics, Bioscience Center, and Keizo Asami Immunopathology Laboratory, Federal University of Pernambuco, Recife, Brazil
| | - Martina Mühlenhoff
- Institute of Clinical Biochemistry, Hannover Medical School, Hannover, Germany
| | - Walter Colli
- Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, Brazil
| | - Suely Kazue Nagashi Marie
- Laboratory of Molecular and Cellular Biology (LIM 15), Department of Neurology, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Lygia da Veiga Pereira
- Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
| | - Maria Julia Manso Alves
- Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, Brazil
| | - Giuseppe Palmisano
- GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
- School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia
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Lind-Holm Mogensen F, Sousa C, Ameli C, Badanjak K, Pereira SL, Muller A, Kaoma T, Coowar D, Scafidi A, Poovathingal SK, Tziortziou M, Antony PMA, Nicot N, Ginolhac A, Vogt Weisenhorn DM, Wurst W, Poli A, Nazarov PV, Skupin A, Grünewald A, Michelucci A. PARK7/DJ-1 deficiency impairs microglial activation in response to LPS-induced inflammation. J Neuroinflammation 2024; 21:174. [PMID: 39014482 PMCID: PMC11253405 DOI: 10.1186/s12974-024-03164-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 07/03/2024] [Indexed: 07/18/2024] Open
Abstract
BACKGROUND Specific microglia responses are thought to contribute to the development and progression of neurodegenerative diseases, including Parkinson's disease (PD). However, the phenotypic acquisition of microglial cells and their role during the underlying neuroinflammatory processes remain largely elusive. Here, according to the multiple-hit hypothesis, which stipulates that PD etiology is determined by a combination of genetics and various environmental risk factors, we investigate microglial transcriptional programs and morphological adaptations under PARK7/DJ-1 deficiency, a genetic cause of PD, during lipopolysaccharide (LPS)-induced inflammation. METHODS Using a combination of single-cell RNA-sequencing, bulk RNA-sequencing, multicolor flow cytometry and immunofluorescence analyses, we comprehensively compared microglial cell phenotypic characteristics in PARK7/DJ-1 knock-out (KO) with wildtype littermate mice following 6- or 24-h intraperitoneal injection with LPS. For translational perspectives, we conducted corresponding analyses in human PARK7/DJ-1 mutant induced pluripotent stem cell (iPSC)-derived microglia and murine bone marrow-derived macrophages (BMDMs). RESULTS By excluding the contribution of other immune brain resident and peripheral cells, we show that microglia acutely isolated from PARK7/DJ-1 KO mice display a distinct phenotype, specially related to type II interferon and DNA damage response signaling, when compared with wildtype microglia, in response to LPS. We also detected discrete signatures in human PARK7/DJ-1 mutant iPSC-derived microglia and BMDMs from PARK7/DJ-1 KO mice. These specific transcriptional signatures were reflected at the morphological level, with microglia in LPS-treated PARK7/DJ-1 KO mice showing a less amoeboid cell shape compared to wildtype mice, both at 6 and 24 h after acute inflammation, as also observed in BMDMs. CONCLUSIONS Taken together, our results show that, under inflammatory conditions, PARK7/DJ-1 deficiency skews microglia towards a distinct phenotype characterized by downregulation of genes involved in type II interferon signaling and a less prominent amoeboid morphology compared to wildtype microglia. These findings suggest that the underlying oxidative stress associated with the lack of PARK7/DJ-1 affects microglia neuroinflammatory responses, which may play a causative role in PD onset and progression.
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Affiliation(s)
- Frida Lind-Holm Mogensen
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, 6A, rue Nicolas-Ernest Barblé, L-1210, Luxembourg, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, L-4365, Esch-sur-Alzette, Luxembourg
| | - Carole Sousa
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, 6A, rue Nicolas-Ernest Barblé, L-1210, Luxembourg, Luxembourg
- International Iberian Nanotechnology Laboratory, 4715-330, Braga, Portugal
| | - Corrado Ameli
- Integrative Cell Signalling Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
| | - Katja Badanjak
- Molecular and Functional Neurobiology Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
| | - Sandro L Pereira
- Molecular and Functional Neurobiology Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
| | - Arnaud Muller
- Bioinformatics Platform, Department of Medical Informatics, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
- LuxGen Genome Center, Luxembourg Institute of Health and Laboratoire National de Santé, L-3555, Dudelange, Luxembourg
| | - Tony Kaoma
- Bioinformatics Platform, Department of Medical Informatics, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
| | - Djalil Coowar
- Rodent Platform, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
| | - Andrea Scafidi
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, 6A, rue Nicolas-Ernest Barblé, L-1210, Luxembourg, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, L-4365, Esch-sur-Alzette, Luxembourg
| | - Suresh K Poovathingal
- Integrative Cell Signalling Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
- Single Cell Analytics and Microfluidics Core, Vlaams Instituut Voor Biotechnologie-KU Leuven, 3000, Louvain, Belgium
| | - Maria Tziortziou
- Molecular and Functional Neurobiology Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
| | - Paul M A Antony
- Bioimaging Platform, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
| | - Nathalie Nicot
- LuxGen Genome Center, Luxembourg Institute of Health and Laboratoire National de Santé, L-3555, Dudelange, Luxembourg
| | - Aurélien Ginolhac
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine, University of Luxembourg, L-4365, Esch-sur-Alzette, Luxembourg
| | - Daniela M Vogt Weisenhorn
- Institute of Developmental Genetics, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Technische Universität München-Weihenstephan, 85354, Freising, Germany
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Technische Universität München-Weihenstephan, 85354, Freising, Germany
- German Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377, Munich, Germany
- Deutsche Zentrum für Psychische Gesundheit (DZPG), 80336, Munich, Germany
| | - Aurélie Poli
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, 6A, rue Nicolas-Ernest Barblé, L-1210, Luxembourg, Luxembourg
| | - Petr V Nazarov
- Bioinformatics Platform, Department of Medical Informatics, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
- Multiomics Data Science Group, Department of Cancer Research, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
| | - Alexander Skupin
- Integrative Cell Signalling Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
- Department of Neuroscience, University of California San Diego, La Jolla, CA, 92093, USA
- Integrative Biophysics, Department of Physics and Material Science, University of Luxembourg, L-1511, Luxembourg, Luxembourg
| | - Anne Grünewald
- Molecular and Functional Neurobiology Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4362, Esch-sur-Alzette, Luxembourg
- Institute of Neurogenetics, University of Lübeck, 23538, Lübeck, Germany
| | - Alessandro Michelucci
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, 6A, rue Nicolas-Ernest Barblé, L-1210, Luxembourg, Luxembourg.
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Zhang C, Zeng M, Xu Y, Huang B, Shi P, Zhu X, Cao Y. S100A6 mediated epithelial-mesenchymal transition affects chemosensitivity of colorectal cancer to oxaliplatin. Gene 2024; 914:148406. [PMID: 38521111 DOI: 10.1016/j.gene.2024.148406] [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: 01/06/2024] [Revised: 03/17/2024] [Accepted: 03/20/2024] [Indexed: 03/25/2024]
Abstract
PURPOSE To investigate the mechanism by which S100 calcium-binding protein A6 (S100A6) affects colorectal cancer (CRC) cells to oxaliplatin (L-OHP) chemotherapy, and to explore new strategies for CRC treatment. METHODS S100A6 expression was assessed in both parental and L-OHP-resistant CRC cells using western blotting, quantitative real-time polymerase chain reaction (qRT-PCR), and enzyme-linked immunosorbent assays (ELISA). Lentiviral vectors were utilized to induce the knockdown of S100A6 expression, followed by comprehensive evaluations of cell proliferation, apoptosis, and epithelial-mesenchymal transition (EMT). Additionally, RNA-seq analysis was conducted to identify genes associated with the knockdown of S100A6. RESULTS Elevated S100A6 expression in CRC tissues correlated with an adverse prognosis in patients with CRC. Higher expression of S100A6 was also observed in L-OHP-resistant CRC cells, which showed enhanced proliferation, migration, invasion, and antiapoptotic capabilities. Notably, the knockdown of S100A6 expression resulted in decreased proliferation, increased apoptosis, and suppression of EMT and tumorigenicity in L-OHP-resistant CRC cells. Transcriptome sequencing reveals a noteworthy association between S100A6 and vimentin expression. Application of the EMT agonist, transforming growth factor β (TGF-β), induces EMT in CRC cells. S100A6 expression positively correlates with TGF-β expression. TGF-β facilitated the expression of EMT-related molecules and reduced the chemosensitivity of L-OHP in S100A6-knockdown cells. CONCLUSION In conclusion, the knockdown of S100A6 may overcome the L-OHP resistance of CRC cells by modulating EMT.
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Affiliation(s)
- Chunying Zhang
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China
| | - Menglu Zeng
- Department of Clinical Laboratory, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynaecology and Paediatrics, Fujian Medical University, Fuzhou, China
| | - Yihan Xu
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China
| | - Bihan Huang
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China
| | - Pengchong Shi
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China
| | - Xianjin Zhu
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China.
| | - Yingping Cao
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China.
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Wang T, Zhu G, Wang B, Hu M, Gong C, Tan K, Jiang L, Zhu X, Geng Y, Li L. Activation of Hypoxia Inducible Factor-1 Alpha-Mediated DNA Methylation Enzymes (DNMT3a and TET2) Under Hypoxic Conditions Regulates S100A6 Transcription to Promote Lung Cancer Cell Growth and Metastasis. Antioxid Redox Signal 2024; 41:138-151. [PMID: 38299557 DOI: 10.1089/ars.2023.0397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2024]
Abstract
Aims: This research was aimed at investigating the effects of hypoxia inducible factor-1 alpha (HIF-1α)-mediated DNA methylation enzymes (ten-eleven translocase-2 [TET2] and DNA methyltransferase-3a [DNMT3a]) under hypoxic conditions on S100A6 transcription, thereby promoting the growth and metastasis of lung cancer cells. Methods: The expression of HIF-1α or S100A6 in lung cancer cells was interfered with under normoxic and hypoxic conditions, and the cell proliferative, migratory, and invasive properties were assessed. The mechanism of HIF-1α-regulated TET2 and DNMT3 effects on S100A6 transcription under hypoxic conditions was further investigated. Results: Functionally, S100A6 over-expression promoted lung cancer cell proliferation and metastasis. S100A6 over-expression reversed the inhibitory effects of HIF-1α interference on the proliferation and metastasis of lung cancer cells. S100A6 was induced to express in an HIF-1α-dependent manner under hypoxic conditions, and silencing S100A6 or HIF-1α suppressed lung cancer cell proliferation and metastasis under hypoxic conditions. Further, The Cancer Genome Atlas-lung adenocarcinoma database analysis revealed that S100A6 mRNA levels had a negative correlation with methylation levels. Mechanistically, CpG hypomethylation status in the S100A6 promoter hypoxia response element had an association with HIF-1α induction. TET2 was enriched in S100A6 promoter region of lung cancer cells under hypoxic conditions, whereas DNMT3a enrichment was reduced in S100A6 promoter region. HIF-1α-mediated S100A6 activation was linked to DNMT3a-associated epigenetic inactivation and TET2 activation. Innovation: The activation of HIF-1α-mediated DNA methylation enzymes under hypoxic conditions regulated S100A6 transcription, thereby promoting lung cancer cell growth and metastasis. Conclusion: In lung cancer progression, hypoxia-induced factor HIF-1α combined with DNA methylation modifications co-regulates S100A6 transcriptional activation and promotes lung cancer cell growth and metastasis.
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Affiliation(s)
- Tengfei Wang
- The Department of Thoracic Surgery; Anhui Wanbei Coal-Electricity Group General Hospital, Suzhou, China
| | - Genbao Zhu
- General Clinical Research Center; Anhui Wanbei Coal-Electricity Group General Hospital, Suzhou, China
| | - Bo Wang
- The Department of Thoracic Surgery; Anhui Wanbei Coal-Electricity Group General Hospital, Suzhou, China
| | - Mengxue Hu
- General Clinical Research Center; Anhui Wanbei Coal-Electricity Group General Hospital, Suzhou, China
| | - Chen Gong
- General Clinical Research Center; Anhui Wanbei Coal-Electricity Group General Hospital, Suzhou, China
| | - Kemeng Tan
- General Clinical Research Center; Anhui Wanbei Coal-Electricity Group General Hospital, Suzhou, China
| | - La Jiang
- General Clinical Research Center; Anhui Wanbei Coal-Electricity Group General Hospital, Suzhou, China
| | - Xiaohong Zhu
- General Clinical Research Center; Anhui Wanbei Coal-Electricity Group General Hospital, Suzhou, China
| | - Yuliu Geng
- The Department of Thoracic Surgery; Anhui Wanbei Coal-Electricity Group General Hospital, Suzhou, China
| | - Lili Li
- General Clinical Research Center; Anhui Wanbei Coal-Electricity Group General Hospital, Suzhou, China
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