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Shazman S. Understanding Type 2 Diabetes Mellitus Risk Parameters through Intermittent Fasting: A Machine Learning Approach. Nutrients 2023; 15:3926. [PMID: 37764710 PMCID: PMC10535779 DOI: 10.3390/nu15183926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 08/31/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by elevated blood glucose levels. Despite the availability of pharmacological treatments, dietary plans, and exercise regimens, T2DM remains a significant global cause of mortality. As a result, there is an increasing interest in exploring lifestyle interventions, such as intermittent fasting (IF). This study aims to identify underlying patterns and principles for effectively improving T2DM risk parameters through IF. By analyzing data from multiple randomized clinical trials investigating various IF interventions in humans, a machine learning algorithm was employed to develop a personalized recommendation system. This system offers guidance tailored to pre-diabetic and diabetic individuals, suggesting the most suitable IF interventions to improve T2DM risk parameters. With a success rate of 95%, this recommendation system provides highly individualized advice, optimizing the benefits of IF for diverse population subgroups. The outcomes of this study lead us to conclude that weight is a crucial feature for females, while age plays a determining role for males in reducing glucose levels in blood. By revealing patterns in diabetes risk parameters among individuals, this study not only offers practical guidance but also sheds light on the underlying mechanisms of T2DM, contributing to a deeper understanding of this complex metabolic disorder.
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Affiliation(s)
- Shula Shazman
- Department of Information Systems, The Max Stern Yezreel Valley College, Yezreel Valley 1930600, Israel; or ; Tel.: +972-54-6388131
- Department of Mathematics and Computer Science, The Open University of Israel, Ra’anana 4353701, Israel
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Yang T, Wang Y, Cao X, Peng Y, Huang J, Chen L, Pang J, Jiang Z, Qian S, Liu Y, Ying C, Wang T, Zhang F, Lu Q, Yin X. Targeting mTOR/YY1 signaling pathway by quercetin through CYP7A1-mediated cholesterol-to-bile acids conversion alleviated type 2 diabetes mellitus induced hepatic lipid accumulation. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2023; 113:154703. [PMID: 36889164 DOI: 10.1016/j.phymed.2023.154703] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 12/31/2022] [Accepted: 02/03/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Hepatic lipid accumulation was a major promoter for the further development of non-alcoholic fatty liver disease (NAFLD) in type 2 diabetes (T2DM). mTOR/YY1 signaling pathway regulated many metabolic processes in different organs, and played an important role in hepatic lipid metabolism. Thus, targeting mTOR/YY1 signaling pathway might be a novel therapeutic strategy of T2DM-associated NALFD. PURPOSE To investigate the effects and the mechanism of quercetin against T2DM-associated NAFLD. STUDY DESIGN AND METHODS The combine abilities of 24 flavonoid compounds with mTOR were detected by computer virtual screening (VS) and molecular modeling. mTOR/YY1 signaling pathway was examined in the liver of db/db mice, and high glucose (HG) and free fatty acid (FFA) co-cultured HepG2 cells. YY1 overexpression lentivirus vector and mTOR specific inhibitor rapamycin were used to further identify the indispensable role of mTOR/YY1 signaling pathway in quercetin's amelioration effect of hepatic lipid accumulation in vitro. Clinical studies, luciferase assay and chromatin immunoprecipitation (ChIP) assay were all carried out to investigate the potential mechanisms by which quercetin exerted its amelioration effect of hepatic lipid accumulation. RESULTS Quercetin had the strongest ability to combine with mTOR and could competitively occupy its binding pocked. Along with the alleviated hepatic injury by quercetin, mTOR/YY1 signaling pathway was down-regulated in vivo and in vitro. However, the alleviation effect of quercetin against hepatic lipid accumulation was inhibited by YY1 overexpression in vitro. Mechanistically, the down-regulated nuclear YY1 induced by quercetin directly bound to CYP7A1 promoter and activated its transcription, resulting in the restoration of cholesterol homeostasis via the conversion of cholesterol-to-bile acids (BAs). CONCLUSION The hepatoprotective effect of quercetin on T2DM-associated NAFLD was linked to the restoration of cholesterol homeostasis by the conversion of cholesterol-to-BAs via down-regulating mTOR/YY1 signaling pathway, leading to the increased CYP7A1 activity.
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Affiliation(s)
- Tingting Yang
- Department of Clinical Pharmacology, School of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, NO. 209. Tongshan Road, Xuzhou, Jiangsu 221004, China
| | - Yiying Wang
- Department of Clinical Pharmacology, School of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, NO. 209. Tongshan Road, Xuzhou, Jiangsu 221004, China
| | - Xinyun Cao
- Department of Clinical Pharmacology, School of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, NO. 209. Tongshan Road, Xuzhou, Jiangsu 221004, China
| | - Yuting Peng
- Department of Clinical Pharmacology, School of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, NO. 209. Tongshan Road, Xuzhou, Jiangsu 221004, China
| | - Jiawan Huang
- Department of Clinical Pharmacology, School of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, NO. 209. Tongshan Road, Xuzhou, Jiangsu 221004, China
| | - Li Chen
- Department of Clinical Pharmacology, School of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, NO. 209. Tongshan Road, Xuzhou, Jiangsu 221004, China
| | - Jiale Pang
- Department of Clinical Pharmacology, School of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, NO. 209. Tongshan Road, Xuzhou, Jiangsu 221004, China
| | - Zhenzhou Jiang
- New Drug Screening Center, Jiangsu Center for Pharmacodynamics Research and Evaluation, China Pharmaceutical University, Nanjing 210009, China
| | - Sitong Qian
- Department of Clinical Pharmacology, School of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, NO. 209. Tongshan Road, Xuzhou, Jiangsu 221004, China
| | - Ying Liu
- Department of Clinical Pharmacology, School of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, NO. 209. Tongshan Road, Xuzhou, Jiangsu 221004, China
| | - Changjiang Ying
- Department of Endocrinology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221006, China
| | - Tao Wang
- Department of Pharmacy, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221006, China
| | - Fan Zhang
- Department of Pharmacy, Xuzhou Central Hospital, Xuzhou 221009, China
| | - Qian Lu
- Department of Clinical Pharmacology, School of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, NO. 209. Tongshan Road, Xuzhou, Jiangsu 221004, China
| | - Xiaoxing Yin
- Department of Clinical Pharmacology, School of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, NO. 209. Tongshan Road, Xuzhou, Jiangsu 221004, China.
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Yang Y, Hou XY, Ge W, Wang X, Xu Y, Chen W, Tian Y, Gao H, Chen Q. Machine-learning models utilizing CYP3A4*1G show improved prediction of hypoglycemic medication in Type 2 diabetes. Per Med 2022; 20:27-37. [DOI: 10.2217/pme-2022-0059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The effectiveness and side effects of Type 2 diabetes (T2D) medication are related to individual genetic background. SNPs CYP3A4 and CYP2C19 were introduced to machine-learning models to improve the performance of T2D medication prediction. Two multilabel classification models, ML-KNN and WRank-SVM, trained with clinical data and CYP3A4/ CYP2C19 SNPs were evaluated. Prediction performance was evaluated with Hamming loss, one-error, coverage, ranking loss and average precision. The average precision of ML-KNN and WRank-SVM using clinical data was 92.74% and 92.9%, respectively. Combined with CYP2C19*2*3, the average precision dropped to 88.84% and 89.93%, respectively. While combined with CYP3A4*1G, the average precision was enhanced to 97.96% and 97.82%, respectively. Results suggest that CYP3A4*1G can improve the performance of ML-KNN and WRank-SVM models in predicting T2D medication performance.
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Affiliation(s)
- Yi Yang
- Translational Medical Center, Chinese People's Liberation Army General Hospital, Beijing, 100039, China
| | - Xing-yun Hou
- Department of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Weiqing Ge
- Department of Information, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Xinye Wang
- School of Computer Science, Sichuan University, Chengdu, 610065, China
| | - Yitian Xu
- College of Science, China Agricultural University, Beijing, 100083, China
| | - Wansheng Chen
- Department of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Yaping Tian
- Translational Medical Center, Chinese People's Liberation Army General Hospital, Beijing, 100039, China
| | - Huafang Gao
- National Research Institute for Family Planning, Beijing,100081, China
| | - Qian Chen
- Translational Medical Center, Chinese People's Liberation Army General Hospital, Beijing, 100039, China
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Yu Y, Lu Q, Chen F, Wang S, Niu C, Liao J, Wang H, Chen F. Serum untargeted metabolomics analysis of the mechanisms of evodiamine on type 2 diabetes mellitus model rats. Food Funct 2022; 13:6623-6635. [PMID: 35635367 DOI: 10.1039/d1fo04396j] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Evodiamine (EVO) is an alkaloid extracted from Evodia rutaecarpa and has various pharmacological activities, including hypolipidemic, anti-inflammatory, anti-infective, and antitumor effects. However, the therapeutic effects of EVO on type 2 diabetes mellitus (T2DM) and the possible mechanisms remain unknown. In this study, we used a T2DM rat model using a high-fat diet (HFD) combined with streptozotocin (STZ) injections followed by treatment with EVO. First, we evaluated the therapeutic effects of EVO on T2DM rats, following which we evaluated the anti-inflammatory and anti-oxidative effects of EVO on T2DM rats. Finally, we analyzed the metabolic regulatory mechanism of EVO in T2DM rats using an untargeted metabolomics approach. The results showed that EVO treatment alleviated the hyperglycemia, hyperlipidemia, insulin resistance (IR), and pathological changes of the liver, pancreas and kidneys in T2DM rats. Moreover, EVO treatment ameliorated the oxidative stress and decreased the serum levels of pro-inflammatory cytokines in T2DM model rats. Serum untargeted metabolomics analysis indicated that the EVO treatment affected the levels of 26 metabolites, such as methionine, citric acid, cholesterol, taurocholic acid, pilocarpine, adrenic acid, and other metabolites. These metabolites were mainly related to the amino sugar and nucleotide sugar metabolism, arginine biosynthesis, arginine and proline metabolism, glutathione metabolism, and tryptophan metabolism pathways. In conclusion, EVO can reduce blood glucose and improve oxidative stress and inflammatory response in T2DM rats. These functions are related to the regulation of amino sugar and nucleotide sugar metabolism, arginine biosynthesis, arginine and proline metabolism, glutathione metabolism, and tryptophan metabolism pathways.
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Affiliation(s)
- Yuejie Yu
- Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing 314001, China.
| | - Qinyan Lu
- Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing 314001, China.
| | - Feng Chen
- Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing 314001, China.
| | - Shangli Wang
- Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing 314001, China.
| | - Chunxiang Niu
- Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing 314001, China.
| | - Jiabao Liao
- Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing 314001, China.
| | - Hongwu Wang
- Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
| | - Fengjuan Chen
- Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing 314001, China.
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Chen X, Li X, Kang S, Duan W. Correlation of Serum IGF-1R, VEGF, and ET Levels with Bone Mineral Density in Type 2 Diabetic Mellitus Patients Treated with Metformin Plus α-Glucosidase Inhibitors. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE : ECAM 2022; 2022:7707875. [PMID: 35497918 PMCID: PMC9050299 DOI: 10.1155/2022/7707875] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/14/2022] [Accepted: 03/28/2022] [Indexed: 11/21/2022]
Abstract
Diabetes mellitus is a common chronic disease. This study aimed to investigate the correlation between serum insulin-like growth factor 1 receptor (IGF-1R), vascular endothelial growth factor (VEGF), endothelin (ET) levels, and bone mineral density (BMD) in type 2 diabetic mellitus (T2DM) patients treated with metformin plus α-glucosidase inhibitors and evaluate the predictive value of serum factors in the prognosis of osteoporosis in these patients. It was a prospective study that enrolled 142 patients with T2DM treated in Dinghu District People's Hospital from March 2019 to May 2020. All enrollments were randomized (1 : 1) to receive either metformin (control group) or metformin plus α-glucosidase inhibitors (study group). After 12 weeks of treatment, metformin plus α-glucosidase inhibitors were associated with significantly lower levels of 2 hPG, FPG, HbA1c, and HOMA-IR versus metformin alone (P < 0.05). After treatment, the BMD was positively correlated with IGF-1R and negatively correlated with VEGF and ET. Alpha-glucosidase inhibitors plus metformin for primary T2DM can effectively manage blood glucose and reduce insulin resistance in patients, but the prediction of osteoporosis development remains to be further explored in large sample studies.
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Affiliation(s)
- Xue Chen
- Department of Pathology and Pathophysiology, Zhaoqing Medical College, Zhaoqing City, Guangdong Province 526020, China
| | - Xiaosheng Li
- Emergency Department, Dinghu District People's Hospital, Zhaoqing City, Guangdong Province 526070, China
| | - Sheng Kang
- Department of Endocrinology, Lanling County People's Hospital, Linyi City, Shandong Province 277700, China
| | - Wenbiao Duan
- School Office, Zhaoqing Medical College, Zhaoqing City, Guangdong Province 526020, China
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Vales-Villamarín C, de Dios O, Pérez-Nadador I, Gavela-Pérez T, Soriano-Guillén L, Garcés C. PPARγ2 Pro12Ala Polymorphism is Associated in Children With Traits Related to Susceptibility to Type 2 Diabetes. Front Pharmacol 2021; 12:763853. [PMID: 34887761 PMCID: PMC8650059 DOI: 10.3389/fphar.2021.763853] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 11/10/2021] [Indexed: 12/16/2022] Open
Abstract
Peroxisome proliferator-activated receptor gamma (PPARγ) is a ligand-activated nuclear receptor that regulates glucose and lipid metabolism. Pharmacological activators of PPARγ are being used as a treatment of obesity related disorders such as dyslipidaemia and type 2 diabetes, but questions remain open regarding the effects of PPARγ on traits related to the development of type 2 diabetes. In our study, we have analyzed the relationship of the common variant Pro12Ala in the human PPARγ2 gene with the presence of obesity and with insulin, HOMA and lipid profile in a representative sample of 6-to 8-year-old children free from the confounding factors associated with adults. We found that Ala12Ala genotype was significantly more frequent in females with obesity than in those without obesity, with Ala12Ala carriers having significantly higher weight and body mass index (BMI), however the association disappeared when adjusting by leptin concentrations. The Ala12Ala genotype was associated with significantly higher HDL-cholesterol and apoA-I levels in males but not in females, independently of BMI. In a recessive model, in females, leptin levels appeared higher in Ala12Ala carriers. Although no apparent differences were observed in any sex when analyzing insulin levels and HOMA among genotypes without adjusting, lower insulin levels and lower HOMA appeared associated with Ala12Ala carriers when adjusting for BMI and leptin levels. In summary, our data showed that leptin seems to be having an effect on the association between the PPARγ2 Pro12Ala and BMI. Besides, after controlling for BMI and leptin, a protective effect of the Ala12Ala variant of the PPARγ2 Pro12Ala polymorphism on insulin sensitivity is evident already in prepubertal children.
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Affiliation(s)
| | - Olaya de Dios
- Lipid Research Laboratory, IIS-Fundación Jiménez Díaz UAM, Madrid, Spain
| | - Iris Pérez-Nadador
- Lipid Research Laboratory, IIS-Fundación Jiménez Díaz UAM, Madrid, Spain
| | | | | | - Carmen Garcés
- Lipid Research Laboratory, IIS-Fundación Jiménez Díaz UAM, Madrid, Spain
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Furgiuele A, Cosentino M, Ferrari M, Marino F. Immunomodulatory Potential of Cannabidiol in Multiple Sclerosis: a Systematic Review. J Neuroimmune Pharmacol 2021; 16:251-269. [PMID: 33492630 PMCID: PMC7829325 DOI: 10.1007/s11481-021-09982-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 01/06/2021] [Indexed: 02/06/2023]
Abstract
Multiple sclerosis (MS) is the most common chronic autoimmune disease of the central nervous system. Efficacy of treatments for MS is associated with risk of adverse effects, and effective and well-tolerated drugs remain a major unmet need. Cannabis (Cannabis sativa L., fam. Cannabaceae) and cannabinoids are popular among MS patients to treat spasticity and pain. Cannabinoids are endowed with remarkable immunomodulating properties, and in particular the non-psychotropic cannabinoid cannabidiol (CBD) is increasingly recognized as anti-inflammatory and immunosuppressive, nevertheless with excellent tolerability even at high doses. In this systematic review, we retrieved and critically evaluated available evidence regarding the immune and disease-modifying effects of CBD in experimental autoimmune encephalomyelitis (EAE) and in MS. Evidence in rodent models of EAE strongly supports CBD as effective, while clinical evidence is still limited and usually negative, due to paucity of studies and possibly to the use of suboptimal dosing regimens. Better characterization of targets acted upon by CBD in MS should be obtained in ex vivo/in vitro studies in human immune cells, and higher doses should be tested in well-designed clinical trials with clinically relevant efficacy endpoints. Graphical Abstract.
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Affiliation(s)
- Alessia Furgiuele
- Center for Research in Medical Pharmacology and Center for Research in Neuroscience, University of Insubria, Via Ottorino Rossi n. 9, 21100, Varese, VA, Italy
| | - Marco Cosentino
- Center for Research in Medical Pharmacology and Center for Research in Neuroscience, University of Insubria, Via Ottorino Rossi n. 9, 21100, Varese, VA, Italy.
| | - Marco Ferrari
- Center for Research in Medical Pharmacology and Center for Research in Neuroscience, University of Insubria, Via Ottorino Rossi n. 9, 21100, Varese, VA, Italy
| | - Franca Marino
- Center for Research in Medical Pharmacology and Center for Research in Neuroscience, University of Insubria, Via Ottorino Rossi n. 9, 21100, Varese, VA, Italy
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Yang T, Yang H, Heng C, Wang H, Chen S, Hu Y, Jiang Z, Yu Q, Wang Z, Qian S, Wang J, Wang T, Du L, Lu Q, Yin X. Amelioration of non-alcoholic fatty liver disease by sodium butyrate is linked to the modulation of intestinal tight junctions in db/db mice. Food Funct 2020; 11:10675-10689. [PMID: 33216087 DOI: 10.1039/d0fo01954b] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The intestinal microenvironment, a potential factor that contributes to the development of non-alcoholic fatty liver disease (NALFD) and type 2 diabetes (T2DM), has a close relationship with intestinal tight junctions (TJs). Here, we show that the disruption of intestinal TJs in the intestines of 16-week-old db/db mice and in high glucose (HG)-cultured Caco-2 cells can both be improved by sodium butyrate (NaB) in a dose-dependent manner in vitro and in vivo. Accompanying the improved intestinal TJs, NaB not only relieved intestine inflammation of db/db mice and HG and LPS co-cultured Caco-2 cells but also restored intestinal Takeda G-protein-coupled (TGR5) expression, resulting in up-regulated serum GLP-1 levels. Subsequently, the GLP-1 analogue Exendin-4 was used to examine the improvement of lipid accumulation in HG and free fatty acid (FFA) co-cultured HepG2 cells. Finally, we used 16-week-old db/db mice to examine the hepatoprotective effects of NaB and its producing strain Clostridium butyricum. Our data showed that NaB and Clostridium butyricum treatment significantly reduced the levels of blood glucose and serum transaminase and markedly reduced T2DM-induced histological alterations of the liver, together with improved liver inflammation and lipid accumulation. These findings suggest that NaB and Clostridium butyricum are a potential adjuvant treatment strategy for T2DM-induced NAFLD; their hepatoprotective effect was linked to the modulation of intestinal TJs, causing the restoration of glucose and lipid metabolism and the improvement of inflammation in hepatocytes.
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Affiliation(s)
- Tingting Yang
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China.
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An T, Zhang J, Liu YF, Wu YX, Lian J, Wang TY, Hu YY, Zhu JJ, Huang J, Zhao DD, Mo FF, Gao SH, Jiang GJ. Combined analysis of whole-exon sequencing and lncRNA sequencing in type 2 diabetes mellitus patients with obesity. J Cell Mol Med 2020; 24:2451-2463. [PMID: 31957265 PMCID: PMC7028848 DOI: 10.1111/jcmm.14932] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 12/06/2019] [Accepted: 12/09/2019] [Indexed: 12/12/2022] Open
Abstract
This study sought to find more exon mutation sites and lncRNA candidates associated with type 2 diabetes mellitus (T2DM) patients with obesity (O‐T2DM). We used O‐T2DM patients and healthy individuals to detect mutations in their peripheral blood by whole‐exon sequencing. And changes in lncRNA expression caused by mutation sites were studied at the RNA level. Then, we performed GO analysis and KEGG pathway analysis. We found a total of 277 377 mutation sites between O‐T2DM and healthy individuals. Then, we performed a DNA‐RNA joint analysis. Based on the screening of harmful sites, 30 mutant genes shared in O‐T2DM patients were screened. At the RNA level, mutations of 106 differentially expressed genes were displayed. Finally, a consensus mutation site and differential expression consensus gene screening were performed. In the current study, the results revealed significant differences in exon sites in peripheral blood between O‐T2DM and healthy individuals, which may play an important role in the pathogenesis of O‐T2DM by affecting the expression of the corresponding lncRNA. This study provides clues to the molecular mechanisms of metabolic disorders in O‐T2DM patients at the DNA and RNA levels, as well as biomarkers of the risk of these disorders.
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Affiliation(s)
- Tian An
- Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China
| | - Jing Zhang
- Department of Endocrinology, Tangshan People's Hospital, Tangshan, China
| | - Yu-Fei Liu
- The Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yan-Xiang Wu
- Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China
| | - Juan Lian
- Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China
| | - Ting-Ye Wang
- Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China
| | - Yuan-Yuan Hu
- Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China
| | - Jia-Jian Zhu
- Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China
| | | | - Dan-Dan Zhao
- Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China
| | - Fang-Fang Mo
- Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China
| | - Si-Hua Gao
- Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China
| | - Guang-Jian Jiang
- Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China
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Alam F, Kamal MA, Islam MA, Banu S. Current Genetic and Epigenetic Insights into Type 2 Diabetes Mellitus. Endocr Metab Immune Disord Drug Targets 2019; 19:717-718. [PMID: 31530259 DOI: 10.2174/187153031906190724104004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Fahmida Alam
- Human Genome Centre, School of Medical Sciences, University Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Mohammad A Kamal
- King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.,Enzymoics, 7 Peterlee Place, Hebersham, NSW 2770, Australia.,Novel Global Community Educational Foundation, Australia
| | - Md Asiful Islam
- Department of Haematology, School of Medical Sciences, University Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
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