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Lei Lei Department of Nephrology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China

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Yi-Hua Bai Department of Nephrology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China

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Hong-Ying Jiang Department of Nephrology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China

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Ting He Department of Nephrology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China

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Meng Li Department of Nephrology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China

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Jia-Ping Wang Department of Radiology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China

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-cells ( 8 ). Nevertheless, the exact role of m6A methylation in T2D has not been explored. In this study, bioinformatics is used to investigate the biological role and underlying mechanism of m6A methylation genes in T2D, and the INS gene was screened

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Taís S Assmann Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
Postgraduation Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

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Mariana Recamonde-Mendoza Institute of Informatics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

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Bianca M De Souza Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
Postgraduation Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

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Daisy Crispim Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
Postgraduation Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

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, to further investigate which miRNAs may be used as new potential biomarkers of T1DM, we performed a systematic review of the literature on the subject. Additionally, bioinformatic analyses were performed to investigate the regulatory and functional

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Zherui Fu Department of Emergency, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China

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Yi Lai Department of Emergency, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China

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Qianfei Wang Department of Emergency, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China

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Feng Lin Department of Orthopedics, The First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China

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Jiaping Fang Department of Emergency, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China

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prognosis and treatment of thyroid cancer. Methods RNA-seq data and bioinformatics analysis This study used data downloaded from the TCGA database ( https://portal.gdc.cancer.gov ). RNA-seq data from the TCGA–thyroid carcinoma (THCA) project was

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Xu Chen Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China

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Yi Tang Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China

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Shen Chen Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China

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Wenhua Ling Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China
Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou, People’s Republic of China

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Qing Wang Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou, People’s Republic of China

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Background and aims

Non-alcoholic fatty liver disease (NAFLD) has become a common chronic liver disease in the world. Simple steatosis (SS) is the early phase of NAFLD. However, the molecular mechanisms underlying the development of steatosis have not yet been fully elucidated.

Methods

Two public datasets (GSE48452 and GSE89632) through the Gene Expression Omnibus (GEO) database were used to identify differentially expressed genes (DEGs) in the development of steatosis. A total of 72 participants including 38 normal histological controls and 34 SS patients were included in this study. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein–protein interaction (PPI) network analysis were performed to explore the function of DEGs. The results were further confirmed in high-fat diet (HFD)-fed mice and oleate-treated HepG2 cells.

Results

Total 57 DEGs including 31 up- and 26 down-regulated genes between SS patients and healthy controls were determined. GO and KEGG analysis showed that most of the DEGs were enriched in the ligand–receptor signaling pathways. PPI network construction was used to identify the hub genes of the DEGs. MYC, ANXA2, GDF15, AGTR1, NAMPT, LEPR, IGFBP-2, IL1RN, MMP7, and APLNR were identified as hub genes, and IGFBP-2 expression was found to be reversely associated with hepatic steatosis, fasting insulin, HOMA-IR index, and ALT levels. In HFD-fed mice, hepatic IGFBP-2 was also downregulated and negatively associated with hepatic triglyceride (TG) levels. Moreover, overexpression of IGFBP-2 ameliorated the oleate induced accumulation of TGs in hepatocytes.

Conclusions

This study identified novel gene signatures in the hepatic steatosis and will provide new understanding and molecular clues of hepatic steatosis.

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Kylie D Rock Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA

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Brian Horman Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA

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Allison L Phillips Nicholas School of the Environment, Duke University, Durham, North Carolina, USA

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Susan L McRitchie NIH Eastern Regional Comprehensive Metabolomics Res. Core, Univ. of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

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Scott Watson NIH Eastern Regional Comprehensive Metabolomics Res. Core, Univ. of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

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Jocelin Deese-Spruill NIH Eastern Regional Comprehensive Metabolomics Res. Core, Univ. of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

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Dereje Jima Center for Human Health and the Environment, North Carolina State University, Raleigh, North Carolina, USA
Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, USA

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Susan Sumner NIH Eastern Regional Comprehensive Metabolomics Res. Core, Univ. of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
Center for Human Health and the Environment, North Carolina State University, Raleigh, North Carolina, USA

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Heather M Stapleton Nicholas School of the Environment, Duke University, Durham, North Carolina, USA

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Heather B Patisaul Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA
Center for Human Health and the Environment, North Carolina State University, Raleigh, North Carolina, USA

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://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE108965 ). RNA-seq data processing Data analysis for placenta RNA-seq was performed by the Bioinformatics Core at the University of Virginia, on a fee for service basis as described previously ( 53 ). Fetal forebrain data analysis was conducted

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Stefano Mangiola Bioinformatics Division, Walter and Eliza Hall Institute, Parkville, Victoria, Australia
Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia
Department of Urology, Royal Melbourne Hospital, Parkville, Victoria, Australia

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Ryan Stuchbery Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia

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Patrick McCoy Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia
Department of Urology, Royal Melbourne Hospital, Parkville, Victoria, Australia

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Ken Chow Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia
Department of Urology, Royal Melbourne Hospital, Parkville, Victoria, Australia

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Natalie Kurganovs Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia
Australian Prostate Cancer Research Centre Epworth, Richmond, Victoria, Australia
Ontario Institute for Cancer Research, Toronto, Canada
Princess Margaret Cancer Centre, University Health Network, Toronto, Canada

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Michael Kerger Australian Prostate Cancer Research Centre Epworth, Richmond, Victoria, Australia

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Anthony Papenfuss Bioinformatics Division, Walter and Eliza Hall Institute, Parkville, Victoria, Australia
Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
Department of Medical Biology, University of Melbourne, Melbourne, Victoria, Australia
Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
Department of Mathematics and Statistics, University of Melbourne, Melbourne, Victoria, Australia

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Christopher M Hovens Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia
Department of Urology, Royal Melbourne Hospital, Parkville, Victoria, Australia

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Niall M Corcoran Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia
Department of Urology, Royal Melbourne Hospital, Parkville, Victoria, Australia
Department of Urology, Frankston Hospital, Frankston, Victoria, Australia

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sequence data . Cambridge, UK : Babraham Bioinformatics , 2010 . (available at: https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ ) 26 Bolger AM Lohse M Usadel B . Trimmomatic: a flexible trimmer for Illumina sequence data . Bioinformatics

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Joakim Crona Departments of Surgical Sciences, Medical Sciences, Uppsala University, S-751 85 Uppsala, Sweden

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Alberto Delgado Verdugo Departments of Surgical Sciences, Medical Sciences, Uppsala University, S-751 85 Uppsala, Sweden

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Dan Granberg Departments of Surgical Sciences, Medical Sciences, Uppsala University, S-751 85 Uppsala, Sweden

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Staffan Welin Departments of Surgical Sciences, Medical Sciences, Uppsala University, S-751 85 Uppsala, Sweden

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Peter Stålberg Departments of Surgical Sciences, Medical Sciences, Uppsala University, S-751 85 Uppsala, Sweden

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Per Hellman Departments of Surgical Sciences, Medical Sciences, Uppsala University, S-751 85 Uppsala, Sweden

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Peyman Björklund Departments of Surgical Sciences, Medical Sciences, Uppsala University, S-751 85 Uppsala, Sweden

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), bioinformatics analysis and, in the clinical setting, genetic consultation (19) . Due to its well-characterized genotype–phenotype correlation and the limitations imposed by existing technologies, there is a strong argument for investigating the potential use of

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Tao Gao Department of General Practice, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China

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Rui Liu Department of Oncology. The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China

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Chunli Li Institute of Life Sciences, Chongqing Medical University, Chongqing, China

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Xinglin Chu Department of General Practice, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China

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Qiao Guo Department of General Practice, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China

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Dazhi Ke Department of General Practice, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China

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concentration for fetuin-B was 0.1 μg/mL. And the preparation and operation steps of the reagent were performed strictly in accordance with the instructions. Bioinformatics analysis Protein–protein interaction network construction The Search Tool (v

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Tian Zhou School of Clinical Medicine, GuiZhou Medical University, Guiyang, Guizhou, China
Department of Breast Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China

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Dai-wei Zhao School of Clinical Medicine, GuiZhou Medical University, Guiyang, Guizhou, China
Department of Surgery, Second People's Hospital of Guizhou Province, Guiyang, Guizhou, China

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Ning Ma School of Clinical Medicine, GuiZhou Medical University, Guiyang, Guizhou, China

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Xue-ying Zhu School of Clinical Medicine, GuiZhou Medical University, Guiyang, Guizhou, China

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Xing-hong Chen Department of Surgery, Second People's Hospital of Guizhou Province, Guiyang, Guizhou, China

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Xue Luo Department of Breast Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China

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Song Chen School of Clinical Medicine, GuiZhou Medical University, Guiyang, Guizhou, China

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Qing-jun Gao Department of Thyroid Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China

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the growth and invasion of tumor cells ( 20 ). Until now, the expression and function of FOXP4 in THCA have not yet been determined. In the present study, the expression and biological behavior of FOXP4 in THCA are investigated through bioinformatics

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Zhengrong Jiang Department of Endocrinology, The Second affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China

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Linghong Huang Department of Endocrinology, The Second affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China

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Lijun Chen Department of Endocrinology, The Second affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China

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Jingxiong Zhou Department of Endocrinology, The Second affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China

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Bo Liang Department of Endocrinology, The Second affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China

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Xuefeng Bai Department of Endocrinology, The Second affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China

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Lizhen Wu Department of Endocrinology, The Second affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China

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Huibin Huang Department of Endocrinology, The Second affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China

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’GGGAAACTGTGGCGTGAT3’ R: 5’GAGTGGGTGTCGCTGTTGA3’ U6(HUMAN) F: 5’AGAGAAGATTAGCATGGCCCCTG3’ F, forward. R, reverse. Cell culture and transfection The aforementioned bioinformatic analysis and RT-qPCR results suggested that the

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