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      Chaihu Shugan San ameliorated cognitive deficits through regulating gut microbiota in senescence-accelerated mouse prone 8

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          Abstract

          Background: Traditional Chinese medicines exhibit promising preventive effects on Alzheimer’s disease. Chaihu Shugan San (CSS) is a well-known traditional herbal formula whose several kinds of ingredients have the potential of ameliorating Alzheimer’s disease. The present study aimed to evaluate the effects of CSS on the microbiota–gut–brain axis and cognitive deficits of senescence-accelerated mouse prone 8 (SAMP8) mice as well as investigate the underlying mechanisms.

          Methods: Thirty 5-month-old SAMP8 mice were randomly divided into the model group (SAMP8), CSS low-dose treatment group (CSSL), and CSS high-dose treatment group (CSSH). Ten SAMR1 mice were used as the normal control, and ten SAMP8 mice treated with donepezil were used as the positive control of cognitive function. CSS was orally administrated to SAMP8 mice for 8 weeks. The Morris water maze test was used to evaluate cognitive function. Histological staining was used to observe neuronal injury and Aβ deposition. Transmission electron microscopy was used to observe the synaptic ultrastructure. 16S rRNA gene analysis was performed to measure the changes in intestinal microbiota.

          Results: The results showed that CSS significantly improved the learning function and memory deficits of aged SAMP8 mice in the Morris water maze examination. CSS ameliorated neuronal injury, synaptic injuries, and Aβ deposition in the brain of SAMP8 mice. In addition, CSS also significantly improved microbiota composition in terms of elevating Lactobacillus reuteri and decreasing Staphylococcus xylosus in the feces of aged SAMP8 mice.

          Conclusion: These findings suggested that CSS might have a preventive potential for cognitive deficits in aging through regulating gut microbiota, which paved the way for the application of CSS for prevention and therapeutic purposes for mild cognitive impairment as well as Alzheimer’s disease.

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          Most cited references36

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          UPARSE: highly accurate OTU sequences from microbial amplicon reads.

          Amplified marker-gene sequences can be used to understand microbial community structure, but they suffer from a high level of sequencing and amplification artifacts. The UPARSE pipeline reports operational taxonomic unit (OTU) sequences with ≤1% incorrect bases in artificial microbial community tests, compared with >3% incorrect bases commonly reported by other methods. The improved accuracy results in far fewer OTUs, consistently closer to the expected number of species in a community.
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            Metabolic endotoxemia initiates obesity and insulin resistance.

            Diabetes and obesity are two metabolic diseases characterized by insulin resistance and a low-grade inflammation. Seeking an inflammatory factor causative of the onset of insulin resistance, obesity, and diabetes, we have identified bacterial lipopolysaccharide (LPS) as a triggering factor. We found that normal endotoxemia increased or decreased during the fed or fasted state, respectively, on a nutritional basis and that a 4-week high-fat diet chronically increased plasma LPS concentration two to three times, a threshold that we have defined as metabolic endotoxemia. Importantly, a high-fat diet increased the proportion of an LPS-containing microbiota in the gut. When metabolic endotoxemia was induced for 4 weeks in mice through continuous subcutaneous infusion of LPS, fasted glycemia and insulinemia and whole-body, liver, and adipose tissue weight gain were increased to a similar extent as in high-fat-fed mice. In addition, adipose tissue F4/80-positive cells and markers of inflammation, and liver triglyceride content, were increased. Furthermore, liver, but not whole-body, insulin resistance was detected in LPS-infused mice. CD14 mutant mice resisted most of the LPS and high-fat diet-induced features of metabolic diseases. This new finding demonstrates that metabolic endotoxemia dysregulates the inflammatory tone and triggers body weight gain and diabetes. We conclude that the LPS/CD14 system sets the tone of insulin sensitivity and the onset of diabetes and obesity. Lowering plasma LPS concentration could be a potent strategy for the control of metabolic diseases.
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              Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019

              Background Given the projected trends in population ageing and population growth, the number of people with dementia is expected to increase. In addition, strong evidence has emerged supporting the importance of potentially modifiable risk factors for dementia. Characterising the distribution and magnitude of anticipated growth is crucial for public health planning and resource prioritisation. This study aimed to improve on previous forecasts of dementia prevalence by producing country-level estimates and incorporating information on selected risk factors. Methods We forecasted the prevalence of dementia attributable to the three dementia risk factors included in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 (high body-mass index, high fasting plasma glucose, and smoking) from 2019 to 2050, using relative risks and forecasted risk factor prevalence to predict GBD risk-attributable prevalence in 2050 globally and by world region and country. Using linear regression models with education included as an additional predictor, we then forecasted the prevalence of dementia not attributable to GBD risks. To assess the relative contribution of future trends in GBD risk factors, education, population growth, and population ageing, we did a decomposition analysis. Findings We estimated that the number of people with dementia would increase from 57·4 (95% uncertainty interval 50·4–65·1) million cases globally in 2019 to 152·8 (130·8–175·9) million cases in 2050. Despite large increases in the projected number of people living with dementia, age-standardised both-sex prevalence remained stable between 2019 and 2050 (global percentage change of 0·1% [–7·5 to 10·8]). We estimated that there were more women with dementia than men with dementia globally in 2019 (female-to-male ratio of 1·69 [1·64–1·73]), and we expect this pattern to continue to 2050 (female-to-male ratio of 1·67 [1·52–1·85]). There was geographical heterogeneity in the projected increases across countries and regions, with the smallest percentage changes in the number of projected dementia cases in high-income Asia Pacific (53% [41–67]) and western Europe (74% [58–90]), and the largest in north Africa and the Middle East (367% [329–403]) and eastern sub-Saharan Africa (357% [323–395]). Projected increases in cases could largely be attributed to population growth and population ageing, although their relative importance varied by world region, with population growth contributing most to the increases in sub-Saharan Africa and population ageing contributing most to the increases in east Asia. Interpretation Growth in the number of individuals living with dementia underscores the need for public health planning efforts and policy to address the needs of this group. Country-level estimates can be used to inform national planning efforts and decisions. Multifaceted approaches, including scaling up interventions to address modifiable risk factors and investing in research on biological mechanisms, will be key in addressing the expected increases in the number of individuals affected by dementia. Funding Bill & Melinda Gates Foundation and Gates Ventures.
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                Author and article information

                Contributors
                Journal
                Front Pharmacol
                Front Pharmacol
                Front. Pharmacol.
                Frontiers in Pharmacology
                Frontiers Media S.A.
                1663-9812
                15 May 2023
                2023
                : 14
                : 1181226
                Affiliations
                [1] 1 The First Affiliated Hospital of Shenzhen University , Shenzhen Second People’s Hospital , Shenzhen, China
                [2] 2 Academician Workstation, Ningbo College of Health Sciences , Ningbo, China
                [3] 3 The Eighth Affiliated Hospital of Sun Yat-Sen University , Shenzhen, China
                [4] 4 State Key Laboratory of Bio-Fibers and Eco-Textiles , Collaborative Innovation Center of Marine Biobased Fiber and Ecological Textile Technology , College of Materials Science and Engineering , Qingdao University , Qingdao, China
                Author notes

                Edited by: Jun Lu, Chengdu University of Traditional Chinese Medicine, China

                Reviewed by: Chengxin Sun, Zunyi Medical University, China

                Kaikai Wang, Nantong University, China

                Xun Li, University of Maryland, United States

                *Correspondence: Zhengzhi Wu, szwzz001@ 123456email.szu.edu.cn ; Hanlin Ou, hlou@ 123456nankai.edu.cn
                [ † ]

                These authors have contributed equally to this work and share first authorship

                Article
                1181226
                10.3389/fphar.2023.1181226
                10226648
                37256236
                8f35164d-f2c4-48e1-9378-1a89e9675d9f
                Copyright © 2023 Li, Zeng, Hu, Liu, Wang, Jin, Li, Ou and Wu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 07 March 2023
                : 24 April 2023
                Funding
                Funded by: Ministry of Science and Technology of the People’s Republic of China , doi 10.13039/501100002855;
                Award ID: 2017ZX09301001
                Funded by: Science and Technology Planning Project of Guangdong Province; , doi 10.13039/501100012245;
                Award ID: 20215002
                Funded by: Basic and Applied Basic Research Foundation of Guangdong Province , doi 10.13039/501100021171;
                Award ID: 2023A1515011999 2020A1515010758
                Funded by: Shenzhen Science and Technology Innovation Program , doi 10.13039/501100017610;
                Award ID: 20190812171611467
                Funded by: National Key Laboratory Foundation of China , doi 10.13039/501100014206;
                The present study was financially supported by the major new drug innovation project of the Ministry of Science and Technology of China (No. 2017ZX09301001), the China Central Finance Improvement Project for the National Key Laboratory of Traditional Chinese Medicine [China Central Finance. CS (2021) No. 151], the special key project of science and technology of Guangdong Province with strong traditional Chinese medicine (No. 20215002), Guangdong Basic and Applied Basic Research Foundation (2023A1515011999, 2020A1515010758), the Science and Technology Innovation Projects of Shenzhen (JCYJ 20190812171611467), and the Research Project of Futian District Health Bureau (FTWS2022034).
                Categories
                Pharmacology
                Original Research
                Custom metadata
                Experimental Pharmacology and Drug Discovery

                Pharmacology & Pharmaceutical medicine
                mild cognitive impairment,gut microbiota,neural injury,chaihu shugan san,senescence-accelerated mouse prone 8

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