Search Results

You are looking at 1 - 4 of 4 items for

  • Author: Yun Shen x
Clear All Modify Search
Xiaomin Nie Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Xiaomin Nie in
Google Scholar
PubMed
Close
,
Yiting Xu Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Yiting Xu in
Google Scholar
PubMed
Close
,
Xiaojing Ma Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Xiaojing Ma in
Google Scholar
PubMed
Close
,
Yun Shen Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Yun Shen in
Google Scholar
PubMed
Close
,
Yufei Wang Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Yufei Wang in
Google Scholar
PubMed
Close
, and
Yuqian Bao Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Yuqian Bao in
Google Scholar
PubMed
Close

Background

A high level of free triiodothyronine (FT3) within the reference range may be a potential metabolic risk marker. However, the relationship between different fat depots and FT3 has remained unclear.

Objective

We aimed to explore the relationships between segmental fat distribution and FT3 in euthyroid middle-aged and elderly men and postmenopausal women.

Methods

A total of 891 subjects (394 men and 497 women) were enrolled. A bioelectrical impedance analyzer was used to measure total, trunk, arm and leg fat mass (FM) and fat percentage (fat%). The leg fat mass to trunk fat mass ratio (LTR) was calculated to evaluate the relative distribution of leg fat compared with that of trunk fat. Thyroid hormones were measured by electrochemical luminescence immunoassay.

Results

FT3 in men did not change significantly with increases in LTR quartiles, while FT3 in women decreased significantly (P for trend = 0.004). In multivariate linear regression analysis, multiple metabolic and cardiovascular risk factors were adjusted. The LTR was negatively related to FT3 in women (P < 0.05). After further mutual adjustment for trunk fat and leg fat parameters, trunk FM and fat% were positively related to FT3, while leg FM and fat% were negatively related to FT3 in women (all P < 0.05).

Conclusions

In euthyroid postmenopausal women, trunk fat was positively correlated with FT3, whereas leg fat was negatively correlated with FT3. Our findings supported that a high level of FT3 within the reference range was related to adverse fat distribution.

Open access
Yansu Wang Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Yansu Wang in
Google Scholar
PubMed
Close
,
Yun Shen Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Yun Shen in
Google Scholar
PubMed
Close
,
Tingting Hu Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Tingting Hu in
Google Scholar
PubMed
Close
,
Yufei Wang Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Yufei Wang in
Google Scholar
PubMed
Close
,
Xiaojing Ma Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Xiaojing Ma in
Google Scholar
PubMed
Close
,
Haoyong Yu Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Haoyong Yu in
Google Scholar
PubMed
Close
, and
Yuqian Bao Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China

Search for other papers by Yuqian Bao in
Google Scholar
PubMed
Close

Objective

Clusterin is closely correlated with insulin resistance and its associated comorbidities. This study aimed to investigate the correlation between serum clusterin levels and non-alcoholic fatty liver disease (NAFLD) and further explore the mediating role of insulin resistance in this relationship.

Methods

This study enrolled 195 inpatients (41 males and 154 females) aged 18–61 years. Twenty-four patients were followed up for 12 months after bariatric surgery. Serum clusterin levels were measured using a sandwich enzyme-linked immunosorbent assay. Fatty liver disease was diagnosed on the basis of liver ultrasonography. The fatty liver index (FLI) was calculated to quantify the degree of hepatic steatosis. The mediating role of homeostasis model assessment-insulin resistance (HOMA-IR) was assessed using mediation analysis.

Results

Participants with NAFLD had significantly higher serum clusterin levels than those without NAFLD (444.61 (325.76–611.52) mg/L vs 294.10 (255.20–373.55) mg/L, P < 0.01). With increasing tertiles of serum clusterin levels, the prevalence of NAFLD displayed an upward trend (P < 0.01). Multivariate linear regression analysis showed that serum clusterin levels were a positive determinant of FLI (standardized β = 0.271, P < 0.001) after adjusting for multiple metabolic risk factors. Serum clusterin levels significantly decreased after bariatric surgery (298.77 (262.56–358.10) mg/L vs 520.55 (354.94–750.21) mg/L, P < 0.01). In the mediation analysis, HOMA-IR played a mediating role in the correlation between serum clusterin levels and FLI; the estimated percentage of the total effect was 17.3%.

Conclusion

Serum clusterin levels were associated with NAFLD. In addition, insulin resistance partially mediated the relationship between serum clusterin levels and FLI.

Open access
Chunyun Fu Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China
Medical Science Laboratory, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China
Department of pathology, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Chunyun Fu in
Google Scholar
PubMed
Close
,
Shiyu Luo Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Shiyu Luo in
Google Scholar
PubMed
Close
,
Yingfeng Li Medical Science Laboratory, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China
Department of pathology, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Yingfeng Li in
Google Scholar
PubMed
Close
,
Qifei Li Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Qifei Li in
Google Scholar
PubMed
Close
,
Xuehua Hu Medical Science Laboratory, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Xuehua Hu in
Google Scholar
PubMed
Close
,
Mengting Li Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Mengting Li in
Google Scholar
PubMed
Close
,
Yue Zhang Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Yue Zhang in
Google Scholar
PubMed
Close
,
Jiasun Su Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Jiasun Su in
Google Scholar
PubMed
Close
,
Xuyun Hu Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Xuyun Hu in
Google Scholar
PubMed
Close
,
Yun Chen Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Yun Chen in
Google Scholar
PubMed
Close
,
Jin Wang Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Jin Wang in
Google Scholar
PubMed
Close
,
Bobo Xie Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Bobo Xie in
Google Scholar
PubMed
Close
,
Jingsi Luo Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Jingsi Luo in
Google Scholar
PubMed
Close
,
Xin Fan Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Xin Fan in
Google Scholar
PubMed
Close
,
Shaoke Chen Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China

Search for other papers by Shaoke Chen in
Google Scholar
PubMed
Close
, and
Yiping Shen Department of Genetic Metabolism, Children’s Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China
Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA

Search for other papers by Yiping Shen in
Google Scholar
PubMed
Close

Background

The incidence of congenital hypothyroidism (CH) differs significantly among different ethnicities and regions, and early differentiation of transient CH is important to avoid unnecessary prolonged treatment with L-T4.

Objective

To investigate the incidence of CH based on the newborn screening program in Guangxi Zhuang Autonomous Region, China, and to analyze the predictors that might allow for an early differentiation between permanent (P) and transient (T) CH.

Design and methods

Data from newborn screening program over a seven-year period (January 2009 to January 2016) at Guangxi Maternal and Child Health Hospital are analyzed. Blood samples were collected on filter paper between 3 and 7 days after birth, and TSH level was measured by time-resolved fluorescence assay. Individuals with increased TSH (TSH ≥ 8 IU/L) levels detected by newborn screening were recalled for further evaluation. Serum TSH, FT3 and FT4 were determined by electrochemiluminescence assay using venous blood samples. Diagnosis of CH is based on elevated TSH levels (>10 IU/L) and decreased FT4 levels (<12 pmol/L). Patients with elevated TSH levels and normal FT4 levels were diagnosed as hyperthyrotropinemia. Permanent or transient CH was determined by using the results of thyroid function tests after temporary withdrawal of L-T4 therapy at approximately 2–3 years of age.

Results

Among 1,238,340 infants in the newborn screening program, 14,443 individuals were recalled for reevaluation (re-call rate 1.18%), 911 and 731 individuals were subsequently determined to have hyperthyrotropinemia and CH respectively; thus, a prevalence of 1:1359 and 1:1694 for hyperthyrotropinemia and CH. Of the 731 patients with CH, 161 patients were diagnosed with permanent CH (PCH), and 159 patients were diagnosed with transient CH (TCH), the other 411 patients are too young to determine their subtypes. Patients with PCH required an increasing dose of L-T4 during the first few years, whereas patients with TCH required a decreased dose of L-T4. The TSH levels at diagnosis and the dose of L-T4 used were significantly higher in PCH cases than in transient cases. The FT4 levels at diagnosis were significantly lower in PCH cases than in TCH cases. The TSH levels at diagnosis, FT4 levels at diagnosis and L-T4 doses at 90 days were evaluated as predictors for differentiating PCH and TCH, and their accuracy at their respective optimal cutoffs were determined to be 60.6%, 66.7% and 93.9%, respectively.

Conclusions

The CH incidence in Guangxi Zhuang Autonomous Region is slightly higher (1:1694) compared to the worldwide levels (1/2000–1/4000). The PCH and TCH ratio is close to 1; thus, the estimated PCH incidence is 1/3388, which is similar to reported worldwide average incidence (1/3000). The L-T4 dose required at 90 days (>30 μg/day) has the highest predictive value for PCH. Earlier differentiation of PCH and TCH helps to determine appropriate treatment course.

Open access
Hsiao-Yun Yeh Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan
Faculty of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan

Search for other papers by Hsiao-Yun Yeh in
Google Scholar
PubMed
Close
,
Hung-Ta Hondar Wu Faculty of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
Division of Musculoskeletal Section, Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan

Search for other papers by Hung-Ta Hondar Wu in
Google Scholar
PubMed
Close
,
Hsiao-Chin Shen Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan
Faculty of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan

Search for other papers by Hsiao-Chin Shen in
Google Scholar
PubMed
Close
,
Tzu-Hao Li Division of Allergy, Immunology, and Rheumatology, Department of Internal Medicine, Shin Kong Wu Ho-Su Memorial Foundation, Taipei, Taiwan
School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei, Taiwan

Search for other papers by Tzu-Hao Li in
Google Scholar
PubMed
Close
,
Ying-Ying Yang Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan
Faculty of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
Division of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Veterans General Hospital, Taipei, Taiwan

Search for other papers by Ying-Ying Yang in
Google Scholar
PubMed
Close
,
Kuei-Chuan Lee Faculty of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
Division of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Veterans General Hospital, Taipei, Taiwan

Search for other papers by Kuei-Chuan Lee in
Google Scholar
PubMed
Close
,
Yi-Hsuan Lin Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan
Faculty of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan

Search for other papers by Yi-Hsuan Lin in
Google Scholar
PubMed
Close
,
Chia-Chang Huang Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan
Faculty of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan

Search for other papers by Chia-Chang Huang in
Google Scholar
PubMed
Close
, and
Ming-Chih Hou Faculty of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
Division of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Veterans General Hospital, Taipei, Taiwan

Search for other papers by Ming-Chih Hou in
Google Scholar
PubMed
Close

Objective

Previous studies have suggested that body mass index (BMI) should be considered when assessing the relationship between fatty liver (FL) and osteoporosis. The aim of this study was to investigate future fracture events in people with FL, focusing on the effect of BMI in both sexes.

Methods

This retrospective cohort study, spanning from 2011 to 2019, enrolled 941 people, including 441 women and 500 men, aged 50 years or older who underwent liver imaging (ultrasound, computed tomography, or magnetic resonance image) and dual-energy X-ray absorptiometry (for bone mineral density measurements). The study examined predictors of osteoporosis in both sexes and the effect of different ranges of BMI (18.5–24, 24–27, and ≥27 kg/m2) on the risk of future fracture events in FL patients.

Results

The average follow-up period was 5.3 years for women and 4.2 years for men. Multivariate analysis identified age and BMI as independent risk factors of osteoporosis in both sexes. Each unit increase in BMI decreased the risk of osteoporosis by ≥10%. In both women and men with FL, a BMI of 24–27 kg/m2 offered protection against future fractures, compared to those without FL and with a BMI of 18.5–24 kg/m2.

Conclusion

The protective effect of a higher BMI against future fractures in middle-aged and elderly female and male patients with FL is not uniform and diminishes beyond certain BMI ranges.

Open access