1
|
Song F, Zhang K, Yang J, Wilson AS, Chen C, Xu X. The Hypolipidemic Characteristics of a Methanol Extract of Fermented Green Tea and Spore of Eurotium cristatum SXHBTBU1934 in Golden Hamsters. Nutrients 2023; 15:1329. [PMID: 36986059 PMCID: PMC10055714 DOI: 10.3390/nu15061329] [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: 01/29/2023] [Revised: 03/03/2023] [Accepted: 03/07/2023] [Indexed: 03/11/2023] Open
Abstract
Fuzhuan brick tea (FBT), a distinctive Chinese dark tea with the predominant fungus of Eurotium cristatum, offered significant health benefits to Chinese people. In the current study, the in vivo bioactivities of E. cristatum (SXHBTBU1934) fermented green tea and spores of E. cristatum fermented on wheat were investigated, respectively. The methanol extract of fermented green tea and spore of E. cristatum both showed potent lipid-lowering activity in the blood of a high-fat diet induced hyperlipidemia model in golden hamsters and significantly reduced the accumulation of fat granules in the liver. These results indicated that the key active components were produced by E. cristatum. Chemical investigations suggested similar components in the two extracts and led to the identification of a new alkaloid, namely variecolorin P (1), along with four known structurally related compounds, (-)-neoechinulin A (2), neoechinulin D (3), variecolorin G (4), and echinulin (5). The structure of the new alkaloid was elucidated by HRESIMS, 1H, 13C, and 2D NMR analysis. The lipid-lowering activity of these compounds was evaluated using an oleic acid-induced HepG2 cell line model. Compound 1 significantly reduced the lipid accumulation in the HepG2 cell line with an IC50 value of 0.127 μM.
Collapse
Affiliation(s)
- Fuhang Song
- School of Light Industry, Beijing Technology and Business University, Beijing 100048, China;
| | - Kai Zhang
- School of Light Industry, Beijing Technology and Business University, Beijing 100048, China;
| | - Jinpeng Yang
- School of Ocean Sciences, China University of Geosciences, Beijing 100083, China;
| | - Annette S. Wilson
- School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; (A.S.W.); (C.C.)
| | - Caixia Chen
- School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; (A.S.W.); (C.C.)
| | - Xiuli Xu
- School of Ocean Sciences, China University of Geosciences, Beijing 100083, China;
| |
Collapse
|
2
|
Liu Y, Ning X, Zhang L, Long J, Liang R, Peng S, Wang H, Li Y, Chen W, Xiao H. Prevalence of long-term complications in inpatients with diabetes mellitus in China: a nationwide tertiary hospital-based study. BMJ Open Diabetes Res Care 2022; 10:10/3/e002720. [PMID: 35545316 PMCID: PMC9096476 DOI: 10.1136/bmjdrc-2021-002720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 04/12/2022] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION There is absence of national data to estimate the prevalence of long-term diabetic complications among inpatients with diabetes in tertiary hospitals in China. RESEARCH DESIGN AND METHODS Using the national Hospital Quality Monitoring System database, inpatients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) were identified by the International Classification of Diseases-10 code, and the temporal trends of microvascular and macrovascular complications 2013-2017 were calculated, and then the risk factors were analysed by multivariate regression analysis. RESULTS A total of 92 413 inpatients with T1DM and 6 094 038 inpatients with T2DM were identified in 2013-2017. The proportions of inpatients with microvascular complications in inpatients with T1DM and T2DM increased from 29.9% and 19.0% in 2013 to 31.6% and 21.0% in 2017, respectively. The proportions of inpatients with macrovascular complications in inpatients with T1DM and T2DM increased from 7.3% and 14.5% in 2013 to 13.2% and 18.4% in 2017, respectively. Hypertension and hyperlipidemia were risk factors for both microvascular and macrovascular complications. Among inpatients with T1DM, the adjusted ORs of microvascular complications increased in 40-49 age group and Northeast region, while older age, male and North region were risks factor for macrovascular complications. Among inpatients with T2DM, the ORs of microvascular complications increased in 40-49 age group, female, urban and North region, while older age, male, urban and Southwest region were risks factor for macrovascular complications. CONCLUSIONS The proportions of long-term complications of inpatients with diabetes in China increased in 2013-2017. Efforts are needed to improve the management of patients with diabetes in China.
Collapse
Affiliation(s)
- Yihao Liu
- Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xin Ning
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Luyao Zhang
- Department of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jianyan Long
- Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ruiming Liang
- Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Sui Peng
- Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Haibo Wang
- Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yanbing Li
- Department of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Wei Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Haipeng Xiao
- Department of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
3
|
Metabolomics Analysis Reveals the Effects of Compound Fuzhuan Brick Tea (CFBT) on Regulating Dyslipidemia and Metabolic Disorders in Mice Induced by High-Fat Diet. Nutrients 2022; 14:nu14061128. [PMID: 35334785 PMCID: PMC8952331 DOI: 10.3390/nu14061128] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 03/02/2022] [Accepted: 03/04/2022] [Indexed: 12/10/2022] Open
Abstract
Background: It is well known that obesity induced by high-fat diet (HFD) poses a serious threat to people’s health. Fuzhuan brick tea, one of the most popular beverages, is reported to possess a significant effect on regulating lipid metabolism, attributed to its many bioactive ingredients. However, the efficacy and mechanism of compound Fuzhuan brick tea (CFBT) made from Fuzhuan brick tea and other six Chinese herbal medicines are still not well defined. Methods: Sixty mice were divided into six groups: normal control group (CK), high-fat model group (NK), positive control group with anti-hyperlipidemic drug (YK), CFBT at low-(FL), medium-(FM) and high-(FH) dosage. Intervening for 30 days, conventional indexes analysis combined with metabolomics were performed to evaluate the changes in biochemical indexes and liver metabolic profiles in mice submitted to HFD. Results: CFBT treatment was able to ameliorate obesity, serum biochemical parameters, antioxidant activity and hepatic steatosis. In addition, significant alterations in the liver tissue metabolic profiles were observed, with most of these associated with inflammation, glucose and lipid metabolism. Conclusions: This study provides evidence that consumption of CFBT is capable of preventing dyslipidemia, reducing weight gain, restoring liver injury, as well as improving metabolic disorders.
Collapse
|
4
|
Hu Y, Wang J, Zeng S, Chen M, Zou G, Li Y, Zhu L, Xu J. Association Between Serum Albumin Levels and Diabetic Peripheral Neuropathy Among Patients with Type 2 Diabetes: Effect Modification of Body Mass Index. Diabetes Metab Syndr Obes 2022; 15:527-534. [PMID: 35228809 PMCID: PMC8881928 DOI: 10.2147/dmso.s347349] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 01/18/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The role of serum albumin in the risk of diabetic peripheral neuropathy (DPN) remains unclear. This study aimed to explore the relationship between serum albumin level and DPN, and to examine any possible effect modifiers among patients with type 2 diabetes mellitus. METHODS This cross-sectional study was conducted in Jiangxi, China, from May 2012 to December 2014. Serum albumin levels were determined in 523 subjects, and the association between serum albumin level and DPN was evaluated using linear regression models (odds ratio [OR] and corresponding 95% confidence interval [CI]). RESULTS There was a significant inverse association between serum albumin level (per 1 g/L increment, OR 0.95 [95% CI 0.92-0.98]) and the risk of DPN. Accordingly, when serum albumin was assessed as quartiles, a significantly lower risk of DPN was found in participants in quartile 4 (OR 0.49 [95% CI 0.25-0.95]), compared with those in quartile 1. Consistently, higher albumin levels (≥35 g/L) were associated with decreased odds for DPN (OR 0.36 [95% CI 0.17-0.74]) compared with lower levels. Furthermore, the albumin-DPN association was significantly stronger in patients with a relatively high body mass index (BMI; ≥24 kg/m2; OR 0.91 [95% CI 0.85-0.98]) than in those with a low BMI (<24 kg/m2; OR 0.99 [95% CI 0.94-1.04]; P for interaction = 0.042). CONCLUSION These data suggest that serum albumin level could be a novel risk factor for DPN among patients with type 2 diabetes and relatively high BMI (>24 kg/m2).
Collapse
Affiliation(s)
- Ying Hu
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China
- Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, JIangxi, 330006, People's Republic of China
| | - Jiancheng Wang
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China
- Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, JIangxi, 330006, People's Republic of China
| | - Sha Zeng
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China
- Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, JIangxi, 330006, People's Republic of China
| | - Mengxia Chen
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China
- Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, JIangxi, 330006, People's Republic of China
| | - Guilin Zou
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China
- Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, JIangxi, 330006, People's Republic of China
| | - Yuxia Li
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China
- Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, JIangxi, 330006, People's Republic of China
| | - Lingyan Zhu
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China
- Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, JIangxi, 330006, People's Republic of China
| | - Jixiong Xu
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China
- Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, JIangxi, 330006, People's Republic of China
- Correspondence: Jixiong Xu; Jiancheng Wang, Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, No. 17, Yongwaizheng Street, Nanchang, Jiangxi, 330006, People’s Republic of China,Tel/Fax +86-791-86836960, Email ;
| |
Collapse
|
5
|
Detection of diabetic polyneuropathy in a family medicine clinic by using monofilament. VOJNOSANIT PREGL 2022. [DOI: 10.2298/vsp200226053l] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Background/Aim. Diabetic polyneuropathy (DPN) is the most common microvascular complication of diabetes mellitus (DM), which may be present at the time of disease detection. Screening for DPN is performed for the patients with type 2 diabetes at the time of diagnosis and for type 1 diabetes 5 years after diagnosis. The primary aim of this study was to determine the prevalence of DNP among family medicine patients with DM aged 18 to 70 years using nylon monofilament. Methods. The cross-sectional study estimated the prevalence of DPN among primary care patients with DM in Banja Luka, Republic of Srpska, Bosnia and Herzegovina. Semmes-Weinstein nylon 10 g monofilament was used to detect DPN. Age, gender, duration of DM, type of therapy, symptoms, glycosylated hemoglobin (HbA1c), and risk factors (hypertension, smoking, dyslipidemia, obesity, physical inactivity) were analyzed. Data collection took place from June 1st, 2017 to May 31st, 2018. Results. The study included 228 patients, 132 (57.9%) men and 96 (42.1%) women. There was a statistically significant difference in the presence of all symptoms of DPN (tingling, burning, light burning, and stinging) among patients with different duration of DM (p < 0.01). Multivariate logistic regression revealed that patients who had hypertension [odds ratio (OR) = 26.2; 95% confidence interval (CI): 4.070?168.488; p = 0.001], used oral anti-diabetic therapy (OR = 12.3; 95% CI: 1.300?116.309; p = 0.029), had tingling (OR = 5.2; 95% CI: 1.431?18.571; p = 0.012) and a longer duration of diabetes (OR = 4.27; 95% CI: 1.983?9.175; p = 0.000) were more likely to have DPN. Conclusion. The prevalence of DPN in family medicine patients with DM using nylon monofilament was 24.2%. Determinants of DNP were the presence of symptoms of tingling, duration of diabetes, hypertension, and the use of oral antidiabetic therapy alone.
Collapse
|
6
|
Wu B, Niu Z, Hu F. Study on Risk Factors of Peripheral Neuropathy in Type 2 Diabetes Mellitus and Establishment of Prediction Model. Diabetes Metab J 2021; 45:526-538. [PMID: 34352988 PMCID: PMC8369209 DOI: 10.4093/dmj.2020.0100] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 06/12/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Diabetic peripheral neuropathy (DPN) is one of the most serious complications of type 2 diabetes mellitus (T2DM). DPN increases the risk of ulcers, foot infections, and noninvasive amputations, ultimately leading to long-term disability. METHODS Seven hundred patients with T2DM were investigated from 2013 to 2017 in the Sanlin community by obtaining basic data from the electronic medical record system (EMRS). From September 2018 to July 2019, 681 patients (19 missing) were investigated using a questionnaire, physical examination, biochemical index test, and follow-up Toronto clinical scoring system (TCSS) test. Patients with a TCSS score ≥6 points were diagnosed with DPN. After removing missing values, 612 patients were divided into groups in a 3:1 ratio for external validation. Using different Lasso analyses (misclassification error, mean squared error, -2log-likelihood, and area under curve) and a logistic regression analysis of the training set, models A, B, C, and D were established. The receiver operating characteristic (ROC) curve, calibration plot, dynamic component analysis (DCA) measurements, net classification improvement (NRI) and integrated discrimination improvement (IDI) were used to validate discrimination and clinical practicality of the model. RESULTS Through data analysis, model A (containing four factors), model B (containing five factors), model C (containing seven factors), and model D (containing seven factors) were built. After calibration, ROC curve, DCA, NRI and IDI, models C and D exhibited better accuracy and greater predictive power. CONCLUSION Four prediction models were established to assist with the early screening of DPN in patients with T2DM. The influencing factors in model C and D are more important factors for patients with T2DM diagnosed with DPN.
Collapse
Affiliation(s)
- Birong Wu
- School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zheyun Niu
- School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Fan Hu
- School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Corresponding author: Fan Hu https://orcid.org/0000-0002-7929-6953 School of Public Health, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai 201203, China E-mail:
| |
Collapse
|
7
|
Zhao J, Li Y, Xin L, Sun M, Yu C, Shi G, Bao T, Liu J, Ni Y, Lu R, Wu Y, Fang Z. Clinical Features and Rules of Chinese Herbal Medicine in Diabetic Peripheral Neuropathy Patients. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE : ECAM 2020; 2020:5795264. [PMID: 32724325 PMCID: PMC7382735 DOI: 10.1155/2020/5795264] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 03/27/2020] [Accepted: 06/08/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To analyse the clinical features of diabetic peripheral neuropathy (DPN) and employ data mining technology to explore the rules of Chinese herbal medicine (CHM) therapy. METHODS The clinical data of 216 patients with DPN and qi-yin deficiency syndrome were obtained, and the clinical features of the patients were assessed by cluster analysis. Relevant information was entered into the clinical diagnosis and treatment collection system, and data mining techniques were used to analyse the drug frequency, core CHM, CHM pair, and so on. RESULTS In this study, glycated haemoglobin (HbA1c) and homocysteine (HCY) were closely related to the pathogenesis of DPN. Overall, 162 patients had typical DPN syndrome characteristics, and we analysed 216 prescriptions, including 182 CHM. The frequencies of prescription of Astragalus membranaceus, Ligusticum wallichii, Poria cocos, and Radix Rehmanniae were greater than 45%. A Bayesian network analysis diagram showed that the 9 most common core CHM included Astragalus membranaceus, Ligusticum wallichii, Poria cocos, atractylodes rhizome, and Salvia miltiorrhiza Bge. According to the association rules of CHM, Radix Ophiopogon is used for Codonopsis pilosula; Astragalus membranaceus and atractylodes rhizome for Rehmannia are also frequently used. Astragalus membranaceus and Cinnamomi Ramulus or Ligusticum wallichii and Moutan bark were highly related to a decreased Michigan Diabetic Neuropathy Score. CONCLUSION HbA1c and HCY are related risk factors for DPN. Numbness is a typical syndrome characteristic. Astragalus membranaceus is a monarch CHM and is used most frequently.
Collapse
Affiliation(s)
- Jindong Zhao
- Department of Endocrine Disease, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China
| | - Yan Li
- Department of Infectious Disease, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China
| | - Ling Xin
- Department of Information, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China
| | - Min Sun
- School of Life Sciences, Anhui University, Hefei 230039, China
| | - Chanjuan Yu
- Department of Endocrine Disease, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China
| | - Guobin Shi
- Department of Endocrine Disease, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China
| | - Taotao Bao
- Department of Endocrine Disease, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China
| | - Jian Liu
- Department of Endocrine Disease, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China
| | - Yingqun Ni
- Department of Endocrine Disease, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China
| | - RuiMin Lu
- Department of Endocrine Disease, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China
| | - Yuanyuan Wu
- Department of Endocrine Disease, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China
| | - Zhaohui Fang
- Department of Endocrine Disease, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China
| |
Collapse
|