Peng-Fei Shan

Dr. Peng-Fei Shan

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 September 2020 in Scientific Reports
Verified
Journal Article
Open access
PDF file
XLXiling Lin
Xiling Lin
YXYufeng Xu
Yufeng Xu
XPXiaowen Pan
Xiaowen Pan
JXJingya Xu
Jingya Xu
YDYue Ding
Yue Ding
PSPeng-Fei Shan
Peng-Fei Shan
Diabetes mellitus is a leading cause of mortality and reduced life expectancy. We aim to estimate the burden of diabetes by type, year, regions, and socioeconomic status in 195 countries and territories over the past 28 years, which provide information to achieve the goal of World Health Organization Global Action Plan for the Prevention and Control of Noncommunicable Diseases in 2025. Data were obtained from the Global Burden of Disease Study 2017. Overall, the global burden of diabetes had increased significantly since 1990. Both the trend and magnitude of diabetes related diseases burden varied substantially across regions and countries. In 2017, global incidence, prevalence, death, and disability-adjusted life-years (DALYs) associated with diabetes were 22.9 million, 476.0 million, 1.37 million, and 67.9 million, with a projection to 26.6 million, 570.9 million, 1.59 million, and 79.3 million in 2025, respectively. The trend of global type 2 diabetes burden was similar to that of total diabetes (including type 1 diabetes and type 2 diabetes), while global age-standardized rate of mortality and DALYs for type 1 diabetes declined. Globally, metabolic risks (high BMI) and behavioral factors (inappropriate diet, smoking, and low physical activity) contributed the most attributable death and DALYs of diabetes. These estimations could be useful in policy-making, priority setting, and resource allocation in diabetes prevention and treatment.

20 May 2022 in Frontiers in Endocrinology
Verified
Journal Article
Open access
YSYuyan Shen
Yuyan Shen
XHXin Huang
Xin Huang
JWJunyun Wu
Junyun Wu
XLXiling Lin
Xiling Lin
XZXiao Zhou
Xiao Zhou
PSPeng-Fei Shan
Peng-Fei Shan
Background: Low bone mineral density (LBMD), including osteoporosis and low bone mass, has becoming a serious public health concern. We aimed to estimate the disease burden of LBMD and its related fractures in 204 countries and territories over the past 30 years.Methods: We collected detailed information and performed a secondary analysis for LBMD and its related fractures from the Global Burden of Disease Study 2019. Numbers and age-standardized rates related to LBMD of disability-adjusted life-years (DALYs) and deaths in 204 countries and territories were compared by age, gender, socio-demographic index (SDI), and location.Results: Global deaths and DALYs number attributable to LBMD increased from 207 367 and 8 588 936 in 1990 to 437 884 and 16 647 466 in 2019, with a raise of 111.16% and 93.82%, respectively. DALYs and deaths number of LBMD-related fractures increased 121.07% and 148.65% from 4 436 789 and 121248 in 1990 to 9 808 464 and 301 482 in 2019. In 2019, the five countries with the highest disease burden of DALYs number in LBMD-related fractures were India (2 510 288), China (1 839 375), United States of America (819 445), Japan (323 094), and Germany (297 944), accounting for 25.59%, 18.75%, 8.35%, 3.29%, and 3.04%. There was a quadratic correlation between socio-demographic index (SDI) and burden of LBMD-related fractures: DALYs rate was 179.985-420.435SDI+417.936SDI2(R2 = 0.188, p<0.001); Deaths rate was 7.879-13.416SDI+8.839 SDI2(R2 = 0.101, p<0.001).Conclusions: The global burden of DALYs and deaths associated with LBMD and its related fractures has increased significantly since 1990. There were differences in disease burden between regions and countries. These estimations could be useful in priority setting, policy-making, and resource allocation in osteoporosis prevention and treatment.

9 April 2021 in Journal of Human Nutrition and Dietetics
Verified
Journal Article
Closed access
PDF file
JQJie Qiao
Jie Qiao
XLXiling Lin
Xiling Lin
YWYiwen Wu
Yiwen Wu
XHXin Huang
Xin Huang
XPXiaowen Pan
Xiaowen Pan
PSPeng-Fei Shan
Peng-Fei Shan

8 July 2024 in BMC Public Health
Verified
Journal Article
Open access
PDF file
XCXian Chen
Xian Chen
JZJia Zheng
Jia Zheng
JWJianying Wang
Jianying Wang
HWHongping Wang
Hongping Wang
HSHui Shi
Hui Shi
QLQiang Liu
Qiang Liu
Data sources: The Global Burden of Diseases, Injuries, and Risk Factors study (GBD) 2019. Background: To describe burden, and to explore cross-country inequalities according to socio-demographic index (SDI) for stroke and subtypes attributable to diet. Methods: Death and years lived with disability (YLDs) data and corresponding estimated annual percentage changes (EAPCs) were estimated by year, age, gender, location and SDI. Pearson correlation analysis was performed to evaluate the connections between age-standardized rates (ASRs) of death, YLDs, their EAPCs and SDI. We used ARIMA model to predict the trend. Slope index of inequality (SII) and relative concentration index (RCI) were utilized to quantify the distributive inequalities in the burden of stroke. Results: A total of 1.74 million deaths (56.17% male) and 5.52 million YLDs (55.27% female) attributable to diet were included in the analysis in 2019.Between 1990 and 2019, the number of global stroke deaths and YLDs related to poor diet increased by 25.96% and 74.76% while ASRs for death and YLDs decreased by 42.29% and 11.34% respectively. The disease burden generally increased with age. The trends varied among stroke subtypes, with ischemic stroke (IS) being the primary cause of YLDs and intracerebral hemorrhage (ICH) being the leading cause of death. Mortality is inversely proportional to SDI (R = -0.45, p < 0.001). In terms of YLDs, countries with different SDIs exhibited no significant difference (p = 0.15), but the SII changed from 38.35 in 1990 to 45.18 in 2019 and the RCI showed 18.27 in 1990 and 24.98 in 2019 for stroke. The highest ASRs for death and YLDs appeared in Mongolia and Vanuatu while the lowest of them appeared in Israel and Belize, respectively. High sodium diets, high red meat consumption, and low fruit diets were the top three contributors to stroke YLDs in 2019. Discussion: The burden of diet-related stroke and subtypes varied significantly concerning year, age, gender, location and SDI. Countries with higher SDIs exhibited a disproportionately greater burden of stroke and its subtypes in terms of YLDs, and these disparities were found to intensify over time. To reduce disease burden, it is critical to enforce improved dietary practices, with a special emphasis on mortality drop in lower SDI countries and incidence decline in higher SDI countries.

2 June 2020 in Endocrine
Verified
Journal Article
Closed access
PDF file
XLXiling Lin
Xiling Lin
YXYufeng Xu
Yufeng Xu
JXJingya Xu
Jingya Xu
XPXiaowen Pan
Xiaowen Pan
XSXiaoxiao Song
Xiaoxiao Song
PSPeng-Fei Shan
Peng-Fei Shan

2 June 2022 in Journal of Experimental Medicine
Verified
Journal Article
Open access
PDF file
RWRuo-Ran Wang
Ruo-Ran Wang
XQXinyuan Qiu
Xinyuan Qiu
RPRan Pan
Ran Pan
HFHongxing Fu
Hongxing Fu
ZZZiyin Zhang
Ziyin Zhang
ZMZhuo-Xian Meng
Zhuo-Xian Meng
Pancreatic β cell plasticity is the primary determinant of disease progression and remission of type 2 diabetes (T2D). However, the dynamic nature of β cell adaptation remains elusive. Here, we establish a mouse model exhibiting the compensation-to-decompensation adaptation of β cell function in response to increasing duration of high-fat diet (HFD) feeding. Comprehensive islet functional and transcriptome analyses reveal a dynamic orchestration of transcriptional networks featuring temporal alteration of chromatin remodeling. Interestingly, prediabetic dietary intervention completely rescues β cell dysfunction, accompanied by a remarkable reversal of HFD-induced reprogramming of islet chromatin accessibility and transcriptome. Mechanistically, ATAC-based motif analysis identifies CTCF as the top candidate driving dietary intervention–induced preservation of β cell function. CTCF expression is markedly decreased in β cells from obese and diabetic mice and humans. Both dietary intervention and AAV-mediated restoration of CTCF expression ameliorate β cell dysfunction ex vivo and in vivo, through transducing the lipid toxicity and inflammatory signals to transcriptional reprogramming of genes critical for β cell glucose metabolism and stress response.