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      Gut microbiota regulates mouse behaviors through glucocorticoid receptor pathway genes in the hippocampus

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          Abstract

          Gut microbiota has an important role in the immune system, metabolism, and digestion, and has a significant effect on the nervous system. Recent studies have revealed that abnormal gut microbiota induces abnormal behaviors, which may be associated with the hypothalamic–pituitary–adrenal (HPA) axis. Therefore, we investigated the behavioral changes in germ-free (GF) mice by behavioral tests, quantified the basal serum cortisol levels, and examined glucocorticoid receptor pathway genes in hippocampus using microarray analysis followed by real-time PCR validation, to explore the molecular mechanisms by which the gut microbiota influences the host’s behaviors and brain function. Moreover, we quantified the basal serum cortisol levels and validated the differential genes in an Escherichia coli-derived lipopolysaccharide (LPS) treatment mouse model and fecal “depression microbiota” transplantation mouse model by real-time PCR. We found that GF mice showed antianxiety- and antidepressant-like behaviors, whereas E. coli LPS-treated mice showed antidepressant-like behavior, but did not show antianxiety-like behavior. However, “depression microbiota” recipient mice exhibited anxiety- and depressive-like behaviors. In addition, six glucocorticoid receptor pathway genes ( Slc22a5, Aqp1, Stat5a, Ampd3, Plekhf1, and Cyb561) were upregulated in GF mice, and of these only two ( Stat5a and Ampd3) were upregulated in LPS-treated mice, whereas the shared gene, Stat5a, was downregulated in “depression microbiota” recipient mice. Furthermore, basal serum cortisol levels were decreased in E. coli LPS-treated mice but not in GF mice and “depression microbiota” recipient mice. These results indicated that the gut microbiota may lead to behavioral abnormalities in mice through the downstream pathway of the glucocorticoid receptor. Herein, we proposed a new insight into the molecular mechanisms by which gut microbiota influence depressive-like behavior.

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          The role of JAK-STAT signaling within the CNS

          JAK-STAT is an efficient and highly regulated system mainly dedicated to the regulation of gene expression. Primarily identified as functioning in hematopoietic cells, its role has been found critical in all cell types, including neurons. This review will focus on JAK-STAT functions in the mature central nervous system. Our recent research suggests the intriguing possibility of a non-nuclear role of STAT3 during synaptic plasticity. Dysregulation of the JAK-STAT pathway in inflammation, cancer and neurodegenerative diseases positions it at the heart of most brain disorders, highlighting the importance to understand how it can influence the fate and functions of brain cells.
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            With Reference to Reference Genes: A Systematic Review of Endogenous Controls in Gene Expression Studies

            The choice of reference genes that are stably expressed amongst treatment groups is a crucial step in real-time quantitative PCR gene expression studies. Recent guidelines have specified that a minimum of two validated reference genes should be used for normalisation. However, a quantitative review of the literature showed that the average number of reference genes used across all studies was 1.2. Thus, the vast majority of studies continue to use a single gene, with β-actin (ACTB) and/or glyceraldehyde 3-phosphate dehydrogenase (GAPDH) being commonly selected in studies of vertebrate gene expression. Few studies (15%) tested a panel of potential reference genes for stability of expression before using them to normalise data. Amongst studies specifically testing reference gene stability, few found ACTB or GAPDH to be optimal, whereby these genes were significantly less likely to be chosen when larger panels of potential reference genes were screened. Fewer reference genes were tested for stability in non-model organisms, presumably owing to a dearth of available primers in less well characterised species. Furthermore, the experimental conditions under which real-time quantitative PCR analyses were conducted had a large influence on the choice of reference genes, whereby different studies of rat brain tissue showed different reference genes to be the most stable. These results highlight the importance of validating the choice of normalising reference genes before conducting gene expression studies.
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              TLR4 at the Crossroads of Nutrients, Gut Microbiota, and Metabolic Inflammation.

              Obesity is accompanied by the activation of low-grade inflammatory activity in metabolically relevant tissues. Studies have shown that obesity-associated insulin resistance results from the inflammatory targeting and inhibition of key proteins of the insulin-signaling pathway. At least three apparently distinct mechanisms-endoplasmic reticulum stress, toll-like receptor (TLR) 4 activation, and changes in gut microbiota-have been identified as triggers of obesity-associated metabolic inflammation; thus, they are expected to represent potential targets for the treatment of obesity and its comorbidities. Here, we review the data that place TLR4 in the center of the events that connect the consumption of dietary fats with metabolic inflammation and insulin resistance. Changes in the gut microbiota can lead to reduced integrity of the intestinal barrier, leading to increased leakage of lipopolysaccharides and fatty acids, which can act upon TLR4 to activate systemic inflammation. Fatty acids can also trigger endoplasmic reticulum stress, which can be further stimulated by cross talk with active TLR4. Thus, the current data support a connection among the three main triggers of metabolic inflammation, and TLR4 emerges as a link among all of these mechanisms.
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                Author and article information

                Contributors
                +86-23-68752051 , weihong63528@163.com
                +86-23-68485490 , xiepeng@cqmu.edu.cn
                Journal
                Transl Psychiatry
                Transl Psychiatry
                Translational Psychiatry
                Nature Publishing Group UK (London )
                2158-3188
                7 September 2018
                7 September 2018
                2018
                : 8
                : 187
                Affiliations
                [1 ]ISNI 0000 0000 8653 0555, GRID grid.203458.8, Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, , Chongqing Medical University, ; Chongqing, 400016 China
                [2 ]Chongqing Key Laboratory of Neurobiology, Chongqing, 400016 China
                [3 ]ISNI 0000 0000 8653 0555, GRID grid.203458.8, Department of Neurology, Yongchuan Hospital, , Chongqing Medical University, ; Chongqing, 402160 China
                [4 ]ISNI 0000 0004 1760 6682, GRID grid.410570.7, Department of Laboratory Animal Science, College of Basic Medical Sciences, , Third Military Medical University, ; Chongqing, 400038 China
                [5 ]GRID grid.412461.4, Department of Nephrology, , the Second Affiliated Hospital of Chongqing Medical University, ; Chongqing, 400010 China
                [6 ]ISNI 0000 0004 0369 313X, GRID grid.419897.a, Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), ; Chongqing, China
                [7 ]GRID grid.452206.7, Department of Neurology, , the First Affiliated Hospital of Chongqing Medical University, ; Chongqing, 400042 China
                [8 ]ISNI 0000 0004 0367 2697, GRID grid.1014.4, South Australian Health and Medical Research Institute, Mind and Brain Theme, , and Flinders University, ; Adelaide, SA Australia
                Article
                240
                10.1038/s41398-018-0240-5
                6128920
                30194287
                db73469a-d06d-432c-bd6e-27056bd758b7
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 January 2018
                : 19 June 2018
                : 14 July 2018
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 81701361
                Award Recipient :
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                Article
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                © The Author(s) 2018

                Clinical Psychology & Psychiatry
                Clinical Psychology & Psychiatry

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