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New discoveries in obesity and related metabolic diseases:from bench to bed

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Journal of Molecular Cell Biology 2021年第8期13卷 541-542页

作者： Weiping Jia Department of Endocrinology and Metabolism Shanghai Diabetes InstituteShanghai Key Laboratory of Diabetes MellitusShanghai Clinical Center for DiabetesShanghai Key Clinical Center for Metabolic DiseaseShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghai 200233China

Obesity,and other metabolic diseases including non-alcoholic fatty liver disease(NAFLD),metabolic syndrome(MetS),type 2 diabetes mellitus(T2DM)and its related complications like chronic kidney disease(CKD),and hepatocellular carcinoma(HCC)have led to alarming health and social burdens globally and in China as well.Although strong links exist among those multifactorial metabolic disorders,there are limited researches on better understanding of their pathogenesis and the provision of effective interventional measures in practice.In this special issue,we have five researches including three research articles providing new insights into potential mechanisms in the development and possible prevention and treatment therapies of NAFLD,HCC,and CKD,as well as two review articles summarizing multi-omics profiling and future strategies for precision medicine in T2DM,NAFLD,and MetS,and the rapid advances in the field of metabolic surgery in China.

关键词： diseases prevention obesity

Early-onset diabetes:an epidemic in China

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Frontiers of Medicine 2018年第6期12卷 624-633页

作者： Jiemin Pan Weiping Jia Department of Endocrinology and Metabolism Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai Clinical Center for DiabetesShanghai Diabetes InstituteShanghai 200233China

Although type 2 diabetes is a disease often associated with aging, the global prevalence of early-onset diabetes has been increasing due to man’s sedentary lifestyle, low-physical activity, obesity, and some non-modifiable risk factors. Many studies have found that individuals with early-onset type 2 diabetes were at higher risk of developing vascular complications than those with late-onset diabetes. Individuals with early-onset diabetes are usually unwilling to visit hospital and have more confidence in their health, which results in poor glycemic control and the delayed detection of diabetes-related complications. Few studies have focused on the treatment and prevention of complications in specific population of individuals with early-onset type 2 diabetes. Therefore, focusing on this particular population is critical for the government and academic societies. Screening for T2DM is imminent for young adults with a family history of diabetes, obesity, markers of insulin resistance, or alcohol consumption. More data are definitely required to establish a reasonable risk model to screen for early-onset diabetes.

关键词： diabetes early-onset diabetes complications

Multi-omics profiling:the way toward precision medicine in metabolic diseases

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Journal of Molecular Cell Biology 2021年第8期13卷 576-593页

作者： Cheng Hu Weiping Jia Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes MellitusShanghai Clinical Center for DiabetesShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai 200233China Institute for Metabolic Disease Fengxian Central HospitalThe Third School of Clinical MedicineSouthern Medical UniversityShanghai 201499China

Metabolic diseases including type 2 diabetes mellitus(T2DM),non-alcoholic fatty liver disease(NAFLD),and metabolic syndrome(MetS)are alarming health burdens around the world,while therapies for these diseases are far from satisfying as their etiologies are not completely dear yet.T2DM,NAFLD,and MetS are all complex and multifactorial metabolic disorders based on the interactions between genetics and environment.Omics studies such as genetics,transcriptomics,epigenetics,proteomics,and metabolomics are all promising approaches in accurately characterizing these diseases.And the most effective treatments for individuals can be achieved via omics pathways,which is the theme of precision medicine.In this review,we summarized the multi-omics studies of T2DM,NAFLD,and MetS in recent years,provided a theoretical basis for their pathogenesis and the effective prevention and treatment,and highlighted the biomarkers and future strategies for precision medicine.

关键词： type 2 diabetes mellitus non-alcoholic fatty liver disease metabolic syndrome biomarkers multi-omics profiling precision medicine

Hyocholic acid and glycemic regulation:comments on‘Hyocholic acid species improve glucose homeostasis through a distinct TGR5 and FXR signaling mechanism’

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Journal of Molecular Cell Biology 2021年第6期13卷 460-462页

作者： Wei jia Cynthia Rajani Xiaojiao Zheng Weiping Jia Center for Translational Medicine Shanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghai Diabetes InstituteShanghai 200233China School of Chinese Medicine Hong Kong Baptist UniversityKowloon TongHong Kong SARChina University of Hawaii Cancer Center HonoluluHI 96813USA

Hyocholic acid species(HCA,hyodeoxycholic acid,and their glycine and taurine conjugated forms)comprise 80%of the composition of pig bile(Haslewood,1956).An interesting fact about pigs is that they do not get diabetes even though they eat almost everything and in abundant amounts,a diabetes-promoting diet.The first use of pig bile for treatment of‘xiao-ke’.

关键词： homeostasis bile abundant

Obesity in China： its characteristics, diagnostic criteria, and implications

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Frontiers of Medicine 2015年第2期9卷 129-133页

作者： Weiping Jia Department of Endocrinology and Metabolism Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai Clinical Centerfor Diabetes Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes Mellitus Shanghai Key Clinical Center for MetabolicDisease Shanghai 200233 China

The rising prevalence of overweight and obesity in several countries has been described as a global pandemic. Obesity and obesity-related diseases are increasing dramatically and have become a massive burden on world economy and global health. In 2010, overweight and obesity were estimated to cause 3.4 million deaths, with 4% of years of life lost and 4% of disability-adjusted life-years worldwide [1]. Abdominal obesity, also known as central obesity, refers to the presence of excess fat in the abdominal area. Epidemiological studies have demonstrated that obesity, especially central obesity,

关键词： INTIMA-MEDIA THICKNESS BODY-MASS INDEX WAIST CIRCUMFERENCE CUTOFFS CORONARY-ARTERY-DISEASE METABOLIC RISK-FACTORS ABDOMINAL OBESITY VISCERAL FAT CARDIOVASCULAR-DISEASE ADULT OVERWEIGHT ADIPOSE-TISSUE

Public auditing for real‑time medical sensor data in cloud‑assisted HealthIIoT system

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Frontiers of Optoelectronics 2022年第3期15卷 1-14页

作者： weiping Ye jia Wang Hui Tian Hanyu Quan College of Computer Science and Technology Huaqiao UniversityXiamen 361021China Wuhan National Laboratory for Optoelectronics Wuhan 430074China Xiamen Key Laboratory of Data Security and Blockchain Technology Xiamen 361021China Fujian Key Laboratory of Big Data Intelligence and Security Xiamen 361021China

With the advancement of industrial internet of things(IIoT),wireless medical sensor networks(WMSNs)have been widely introduced in modern healthcare systems to collect real-time medical data from patients,which is known as HealthIIoT.Considering the limited computing and storage capabilities of lightweight HealthIIoT devices,it is necessary to upload these data to remote cloud servers for storage and maintenance.However,there are still some serious security issues within outsourcing medical sensor data to the cloud.One of the most signifcant challenges is how to ensure the integrity of these data,which is a prerequisite for providing precise medical diagnosis and treatment.To meet this challenge,we propose a novel and efcient public auditing scheme,which is suitable for cloud-assisted HealthIIoT system.Specifcally,to address the contradiction between the high real-time requirement of medical sensor data and the limited computing power of HealthIIoT devices,a new online/ofine tag generation algorithm is designed to improve preprocessing efciency;to protect medical data privacy,a secure hash function is employed to blind the data proof.We formally prove the security of the presented scheme,and evaluate the performance through detailed experimental comparisons with the state-of-the-art ones.The results show that the presented scheme can greatly improve the efciency of tag generation,while achieving better auditing performance than previous schemes.

关键词： Healthcare industrial internet of things(HealthIIoT) Medical sensor data Online/ofine signature Public auditing

miRNAs in non-alcoholic fatty liver disease

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Frontiers of Medicine 2016年第4期10卷 389-396页

作者： Zhen He Cheng Hu Weiping Jia Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes Mellitus Shanghai Clinical Center for Diabetes Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai 200233 China

Non-alcoholic fatty liver disease （NAFLD） is a major cause of liver cirrhosis and hepatocellular carcinoma and is a considerable threat to public health, miRNAs are important post-transcriptional regulators of gene expression, and the dysregulation of miRNAs is involved in various biological processes in the liver, including lipid homeostasis, inflammation, apoptosis, and cell proliferation. Recently, a number of studies have described the association between miRNAs and NAFLD progression and have shown that circulating miRNAs reflect histological changes in the liver. Therefore, circulating miRNAs have potential use for the evaluation of NAFLD severity. In this review, we discuss the involvement of miRNAs in NAFLD pathogenesis and the key role of miRNAs in the screening, diagnosis, and staging of NAFLD.

关键词： nonalcoholic fatty liver disease nonalcoholic steatohepatitis hepatocellular carcinoma miRNA

Application and prospect of artificial intellingence in diabetes care

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Medical Review 2023年第1期3卷 102-104页

作者： Weiping Jia Edwin B.Fisher Shanghai Diabetes Institute Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai Technical Center for Diabetes Prevention and Clinical CareShanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Clinical Center for DiabetesShanghai Key Clinical Center for Metabolic DiseaseShanghai Research Center for Endocrine and Metabolic Diseases600 Yishan RoadShanghai 200233 Peers for Progress Department of Health BehaviorGillings School of Global Public HealthUniversity of North Carolina at Chapel Hill135 Dauer DriveCampus Box 744027599-7440 Chapel HillNCUSA

Diabetes is one of the fastest-growing non-communicable diseases,becoming an important public health concern worldwide as well as in China.Currently,China has the largest population living with diabetes.Artiﬁcial intelligence(AI)is a fast-growingﬁeld and its applications to diabetes could enable the delivery of better management services for people with diabetes.This perspective summarized the latestﬁndings of digital tech-nologies and AI use in the following areas of diabetes care,mainly including screening and risk predictions of diabetes and diabetic complications,precise monitoring and inter-vention combined with new technologies,and mobile health application in self-management support for people with diabetes.Challenges to promote further use of AI in diabetes care included data standardization and integra-tion,performance of AI-based medical devices,motivation of patients,and sensitivity to privacy.In summary,although the AI applications in clinical practice is still at an early stage,we are moving toward a new paradigm for diabetes care with the rapid development and emerging application of AI.

关键词： diabetes care digital health mobile health selfmanagement support

Altered intestinal microbiota associated with colorectal cancer

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Frontiers of Medicine 2019年第4期13卷 461-470页

作者： Hong Zhang Ying Chang Qingqing Zheng Rong Zhang Cheng Hu Weiping Jia Shanghai Diabetes Institute Shanghai Key L aboratory of Diabetes Mellitus Shanghai Clinical Center for Diabetes Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai 200233 China Digestive Endoscopic Center Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai 200233 China

The gut microbiota plays an important role in the development and progression of colorectal cancer (CRC). To learn more about the dysbiosis of carcinogenesis, we assessed alterations in gut microbiota in patients with CRC. A total of 23 subjects were enrolled in this study: 9 had CRC (CRC group) and 14 had normal colons (normal group). The microbiome of the mucosal-luminal interface of each subject was sampled and analyzed using 16S rRNA gene amplicon sequencing. We also used Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) to predict microbial functional profiles. The microbial composition of the mucosal lumen differed between the groups, and the presence of specific bacteria may serve as a potential biomarker for colorectal carcinogenesis. We identified a significant reduction in Eubacterium, which is a butyrate-producing genera of bacteria, and a significant increase in Devosia in the gut microbiota of CRC patients. Different levels of gut microflora in healthy and CRC samples were identified. The observed abundance of bacterial species belonging to Eubacterium and Devosia may serve as a promising biomarker for the early detection of CRC.

关键词： colorectal cancer (CRC) gut microbiota intestinal Eubacterium Devosia