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Dong YH, Wang ZX, Chen C, Wang PP, Fu X. A review on the hypoglycemic effect, mechanism and application development of natural dietary polysaccharides. Int J Biol Macromol 2023; 253:127267. [PMID: 37820903 DOI: 10.1016/j.ijbiomac.2023.127267] [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: 08/30/2023] [Revised: 09/20/2023] [Accepted: 10/03/2023] [Indexed: 10/13/2023]
Abstract
Diabetes mellitus (DM) as one chronic metabolic disease was greatly increased over recent decades. The major agents treating diabetes have noticeable side effects as well as the tolerability problems. The bioactive dietary polysaccharides from abundant natural resources exhibit good hypoglycemic effect with rare adverse effects, which might serve as a candidate to prevent and treat diabetes. However, the correlations between the hypoglycemic mechanism of polysaccharides and their structure were not mentioned in several studies, what's more, most of the current hypoglycemic studies on polysaccharides were based on in vitro and in vivo experiments, and there was a lack of knowledge about the effects in human clinical trials. The aim of this review is to discuss recent literature about the variety of dietary polysaccharides with hypoglycemic activity, as well the mechanism of action and the structure-function relationship are highlighted. Meanwhile, the application of dietary polysaccharides in functional foods and clinical medicine are realized with an in-depth understanding. So as to promote the exploration of dietary polysaccharides in low glycemic healthy foods or clinical medicine to prevent and treat diabetes.
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Affiliation(s)
- Yu-Hao Dong
- SCUT-Zhuhai Institute of Modern Industrial Innovation, School of Food Science and Engineering, South China University of Technology, 381 Wushan Road, Guangzhou 510640, China
| | - Zhen-Xing Wang
- College of life Science, Southwest Forestry University, Kunming 650224, China
| | - Chun Chen
- SCUT-Zhuhai Institute of Modern Industrial Innovation, School of Food Science and Engineering, South China University of Technology, 381 Wushan Road, Guangzhou 510640, China; Guangzhou Inst Modern Ind Technol, Nansha 511458, China; Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety, Guangzhou 510640, China; Overseas Expertise Introduction Center for Discipline Innovation of Food Nutrition and Human Health (111 Center), Guangzhou, China.
| | - Ping-Ping Wang
- School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China
| | - Xiong Fu
- SCUT-Zhuhai Institute of Modern Industrial Innovation, School of Food Science and Engineering, South China University of Technology, 381 Wushan Road, Guangzhou 510640, China; Guangzhou Inst Modern Ind Technol, Nansha 511458, China; Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety, Guangzhou 510640, China; Overseas Expertise Introduction Center for Discipline Innovation of Food Nutrition and Human Health (111 Center), Guangzhou, China.
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Hendriks S, Ramos KM, Grady C. Survey of Investigators About Sharing Human Research Data in the Neurosciences. Neurology 2022; 99:e1314-e1325. [PMID: 35981894 PMCID: PMC9576293 DOI: 10.1212/wnl.0000000000200886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 05/11/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES In the neurosciences, significant opportunities for sharing individual-level data are underexploited. Commentators suggest various barriers to data sharing, which may need to be addressed. Investigators' perspectives on the main barriers are unclear. Furthermore, bioethicists have raised concerns about the potential misuse of neuroscience data, although discussions are hampered by uncertainty about the potential risks. It is unclear how common sensitive data are obtained and whether investigators judge them as sensitive. METHODS An online survey was disseminated among 1,190 principal investigators (PIs) of active National Institute of Neurological Disorders and Stroke, National Institute of Mental Health, or NIH Brain Research Through Advancing Innovative Neurotechnologies Initiative grants involving human subject research. RESULTS A total of 397 investigators responded to the survey (response rate 33%). Most investigators (84%) support efforts to increase sharing of deidentified individual-level data. However, investigators perceive many barriers to data sharing. The largest barriers were costs and time; limited interpretation of the data without understanding the context of data collection; lack of incentives; limited standardization and norms for data acquisition, formatting, and description; and heterogeneity of data types. Several types of data described as sensitive in the literature are common among neuroscience studies, for example, neural correlates of behavior, emotions, or decision making (71%) and/or predictive data (54%). Although most investigators consider it unlikely or extremely unlikely for their research data to be misused to harm individual research participants (82%), the majority were at least slightly concerned about potential harm to individuals if their research data were misused (65%). Investigators with more easily reidentifiable data, data from vulnerable groups, and neural data were more concerned about the likelihood of misuse and/or magnitude of harm of misuse of their research data. DISCUSSION We hope these data help prioritize the development of tools and strategies to overcome the main barriers to data sharing. Furthermore, these data provide input on what may be sensitive data for which additional safeguards should be considered.
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Affiliation(s)
- Saskia Hendriks
- From the The Office of Neuroscience Communications and Engagement (S.H., K.M.R.), National Institute of Neurological Disorders and Stroke; and Department of Bioethics (S.H., C.G.), Clinical Center National Institute of Health, Bethesda, MD.
| | - Khara M Ramos
- From the The Office of Neuroscience Communications and Engagement (S.H., K.M.R.), National Institute of Neurological Disorders and Stroke; and Department of Bioethics (S.H., C.G.), Clinical Center National Institute of Health, Bethesda, MD
| | - Christine Grady
- From the The Office of Neuroscience Communications and Engagement (S.H., K.M.R.), National Institute of Neurological Disorders and Stroke; and Department of Bioethics (S.H., C.G.), Clinical Center National Institute of Health, Bethesda, MD
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Near-infrared light reduces glia activation and modulates neuroinflammation in the brains of diet-induced obese mice. Sci Rep 2022; 12:10848. [PMID: 35761012 PMCID: PMC9237037 DOI: 10.1038/s41598-022-14812-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 06/13/2022] [Indexed: 12/06/2022] Open
Abstract
Neuroinflammation is a key event in neurodegenerative conditions such as Alzheimer's disease (AD) and characterizes metabolic pathologies like obesity and type 2 diabetes (T2D). Growing evidence in humans shows that obesity increases the risk of developing AD by threefold. Hippocampal neuroinflammation in rodents correlates with poor memory performance, suggesting that it contributes to cognitive decline. Here we propose that reducing obesity/T2D-driven neuroinflammation may prevent the progression of cognitive decline associated with AD-like neurodegenerative states. Near-infrared light (NIR) has attracted increasing attention as it was shown to improve learning and memory in both humans and animal models. We previously reported that transcranial NIR delivery reduced amyloid beta and Tau pathology and improved memory function in mouse models of AD. Here, we report the effects of NIR in preventing obesity-induced neuroinflammation in a diet-induced obese mouse model. Five-week-old wild-type mice were fed a high-fat diet (HFD) for 13 weeks to induce obesity prior to transcranial delivery of NIR for 4 weeks during 90-s sessions given 5 days a week. After sacrifice, brain slices were subjected to free-floating immunofluorescence for microglia and astrocyte markers to evaluate glial activation and quantitative real-time polymerase chain reaction (PCR) to evaluate expression levels of inflammatory cytokines and brain-derived neurotrophic factor (BDNF). The hippocampal and cortical regions of the HFD group had increased expression of the activated microglial marker CD68 and the astrocytic marker glial fibrillary acidic protein. NIR-treated HFD groups showed decreased levels of these markers. PCR revealed that hippocampal tissue from the HFD group had increased levels of pro-inflammatory interleukin (IL)-1β and tumor necrosis factor-α. Interestingly, the same samples showed increased levels of the anti-inflammatory IL-10. All these changes were attenuated by NIR treatment. Lastly, hippocampal levels of the neurotrophic factor BDNF were increased in NIR-treated HFD mice, compared to untreated HFD mice. The marked reductions in glial activation and pro-inflammatory cytokines along with elevated BDNF provide insights into how NIR could reduce neuroinflammation. These results support the use of NIR as a potential non-invasive and preventive therapeutic approach against chronic obesity-induced deficits that are known to occur with AD neuropathology.
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Wang F, Wang J, Cai H, Yuan L, Sun C, Peng X, Yan W, Zhang J. Network pharmacology combined with metabolomics to investigate the anti-hyperlipidemia mechanism of a novel combination. J Funct Foods 2021. [DOI: 10.1016/j.jff.2021.104848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Leonardi BF, Gosmann G, Zimmer AR. Modeling Diet-Induced Metabolic Syndrome in Rodents. Mol Nutr Food Res 2020; 64:e2000249. [PMID: 32978870 DOI: 10.1002/mnfr.202000249] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 08/24/2020] [Indexed: 12/17/2022]
Abstract
Standardized animal models represent one of the most valuable tools available to understand the mechanism underlying the metabolic syndrome (MetS) and to seek for new therapeutic strategies. However, there is considerable variability in the studies conducted with this essential purpose. This review presents an updated discussion of the most recent studies using diverse experimental conditions to induce MetS in rodents with unbalanced diets, discusses the key findings in metabolic outcomes, and critically evaluates what we have been learned from them and how to advance in the field. The study includes scientific reports sourced from the Web of Science and PubMed databases, published between January 2013 and June 2020, which used hypercaloric diets to induce metabolic disorders, and address the impact of the diet on metabolic parameters. The collected data are used as support to discuss variables such as sex, species, and age of the animals, the most favorable type of diet, and the ideal diet length to generate metabolic changes. The experimental characteristics propose herein improve the performance of a preclinical model that resembles the human MetS and will guide researchers to investigate new therapeutic alternatives with confidence and higher translational validity.
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Affiliation(s)
- Bianca F Leonardi
- Phytochemistry and Organic Synthesis Laboratory, Pharmaceutical Sciences Graduate Program, Faculty of Pharmacy, Federal University of Rio Grande do Sul (UFRGS), 2752 Ipiranga avenue, Porto Alegre, RS, 90610-000, Brazil
| | - Grace Gosmann
- Phytochemistry and Organic Synthesis Laboratory, Pharmaceutical Sciences Graduate Program, Faculty of Pharmacy, Federal University of Rio Grande do Sul (UFRGS), 2752 Ipiranga avenue, Porto Alegre, RS, 90610-000, Brazil
| | - Aline R Zimmer
- Phytochemistry and Organic Synthesis Laboratory, Pharmaceutical Sciences Graduate Program, Faculty of Pharmacy, Federal University of Rio Grande do Sul (UFRGS), 2752 Ipiranga avenue, Porto Alegre, RS, 90610-000, Brazil
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Jang SA, Namkoong S, Lee SR, Lee JW, Park Y, So G, Kim SH, Kim MJ, Jang KH, Avolio AP, Gangoda SVS, Koo HJ, Kim MK, Kang SC, Sohn EH. Multi-tissue lipotoxicity caused by high-fat diet feeding is attenuated by the supplementation of Korean red ginseng in mice. Mol Cell Toxicol 2019. [DOI: 10.1007/s13273-019-00056-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Guo WL, Deng JC, Pan YY, Xu JX, Hong JL, Shi FF, Liu GL, Qian M, Bai WD, Zhang W, Liu B, Zhang YY, Luo PJ, Ni L, Rao PF, Lv XC. Hypoglycemic and hypolipidemic activities of Grifola frondosa polysaccharides and their relationships with the modulation of intestinal microflora in diabetic mice induced by high-fat diet and streptozotocin. Int J Biol Macromol 2019; 153:1231-1240. [PMID: 31759027 DOI: 10.1016/j.ijbiomac.2019.10.253] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 10/25/2019] [Accepted: 10/28/2019] [Indexed: 02/07/2023]
Abstract
This study aimed to investigate the hypoglycemic and hypolipidemic activities of polysaccharides from Grifola frondosa (GFP) in diabetic mice induced by high-fat diet (HFD) and streptozotocin (STZ). Results showed that oral administration of GFP markedly reduced the serum levels of fasting blood glucose (FBG), oral glucose tolerance (OGT), cholesterol (TC), triglyceride (TG) and low-density lipoprotein cholesterol (LDL-C), and significantly decreased the hepatic levels of TC, TG and free fatty acids (FFA). Meanwhile, high-dose of GFP supplementation (900 mg/kg day) also showed powerful effects on moderating the composition of intestinal microflora in diabetic mice, especially altering the functionally relevant intestinal microbial phylotypes. Spearman's correlation network analysis revealed that key microbial phylotypes responding to GFP intervention were strongly correlated with the glucose and lipid metabolic disorders associated parameters. Moreover, GFP treatment regulated mRNA expression levels of the genes responsible for hepatic glucose and lipid metabolism. It is noteworthy that GFP treatment markedly increased mRNA expression of cholesterol 7α-hydroxylase (CYP7A1) and bile salt export pump (BSEP), suggesting an enhancement of bile acids (BAs) synthesis and excretion in liver. These findings demonstrated that GFP could prevent hyperglycemia and hyperlipidemia in diabetic mice by altering gut microbiota and regulating hepatic glycolipid metabolism related genes, and therefore could be used as potential functional food ingredients for the prevention or treatment of hyperglycemia and hyperlipidemia.
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Affiliation(s)
- Wei-Ling Guo
- Institute of Food Science and Technology, College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; National Engineering Research Center of JUNCAO Technology, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Jia-Cong Deng
- School of Ocean Science and Biochemistry Engineering, Fuqing Branch of Fujian Normal University, Fuqing, Fujian 350300, China
| | - Yu-Yang Pan
- National Engineering Research Center of JUNCAO Technology, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Jia-Xin Xu
- National Engineering Research Center of JUNCAO Technology, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Jia-Li Hong
- National Engineering Research Center of JUNCAO Technology, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Fei-Fei Shi
- Institute of Food Science and Technology, College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; National Engineering Research Center of JUNCAO Technology, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Gong-Liang Liu
- College of Light Industry and Food Science, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Min Qian
- College of Light Industry and Food Science, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Wei-Dong Bai
- College of Light Industry and Food Science, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Wen Zhang
- Institute of Food Science and Technology, College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Bin Liu
- National Engineering Research Center of JUNCAO Technology, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Yan-Yan Zhang
- Institute of Food Science and Technology, College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; Department of Flavor Chemistry, Institute of Food Science and Biotechnology, University of Hohenheim, Stuttgart 70599, Germany
| | - Peng-Jie Luo
- China National Center for Food Safety Risk Assessment, NHC Key Laboratory of Food Safety Risk Assessment, Beijing 100022, China.
| | - Li Ni
- Institute of Food Science and Technology, College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Ping-Fan Rao
- Institute of Food Science and Technology, College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Xu-Cong Lv
- Institute of Food Science and Technology, College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; National Engineering Research Center of JUNCAO Technology, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China; Department of Flavor Chemistry, Institute of Food Science and Biotechnology, University of Hohenheim, Stuttgart 70599, Germany.
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