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Objective: Rhesus monkeys are increasingly used in biomedical research, which makes their hematological and biochemical parameters increasingly important in preclinical research. Since age and sex can influence blood parameters, establishing reference intervals for such parameters based on age and sex becomes along with identifying the effect of age and sex on those parameters. Methods: A total of 1385 healthy Chinese rhesus monkeys (548 males and 837 females) anesthetized with ketamine were selected and segregated by age (six groups) and sex. A total of 21 hematological and 26 biochemical parameters were measured, and the effects of age and sex were analyzed. Results: We established baseline indices for hematological and biochemical parameters based on age and sex, separately, and observed significant impacts of age, sex, and age‐sex interactions on blood parameters. Among different age groups, significant differences were found in WBC, NEUT%, LYM%, EO%, LYM#, EO#, MCV, RDW‐CV, PLT, MPV, PDW, PCT, TP, Alb, GLB, A/G, ALT, AST, ALP, TBIL, GGT, BUN, Cre, GLU, CK, TRIG, LDL, HCY, IL‐6 FOL, Vit B12, VIT D‐T, PTH, and AMH. Additionally, significant differences were observed in RBC, HGB, HCT, MPV, Alb, BUN, Cre, GLU, CHOL, TRIG, HDL, LDL, HCY, and VIT D‐T between the two sexes. An age‐sex interaction exerted a significant effect on WBC, NEUT#, MCV, MCHC, PDW, GLB, ALP, Cre, CHOL, TRIG, HDL, LDL, HCY, IL‐6, Vit B12, VIT D‐T. However, neither age, sex, and age‐sex interactions exerted significant effects on MO%, MOMO#, MCH, RDW‐SD, CRP, and CT. Conclusion: Our study investigated the blood parameters of rhesus monkeys to provide a reference basis for rhesus monkey‐related scientific experimental research. [ABSTRACT FROM AUTHOR]

To investigate the potential effects and mechanism of wogonin on dextran sulfate sodium (DSS)‐induced colitis, 70 male mice were administered wogonin (12.5, 25, 50 mg·kg−1·d−1, i.g.) for 10 days, meanwhile, in order to induce colitis, the mice were free to drink 3% DSS for 6 days. We found that wogonin could obviously ameliorate DSS‐induced colitis, including preventing colon shortening and inhibiting pathological damage. In addition, wogonin could increase the expression of PPARγ, which not only restores intestinal epithelial hypoxia but also inhibits iNOS protein to reduce intestinal nitrite levels. All these effects facilitated a reduction in the abundance of Enterobacteriaceae in DSS‐induced colitis mice. Therefore, compared with the DSS group, the number of Enterobacteriaceae in the intestinal flora was significantly reduced after administration of wogonin or rosiglitazone by 16s rDNA technology. We also verified that wogonin could promote the expression of PPARγ mRNA and protein in Caco‐2 cells, and this effect disappeared when PPARγ signal was inhibited. In conclusion, our study suggested that wogonin can activate the PPARγ signal of the Intestinal epithelium to ameliorate the Intestinal inflammation caused by Enterobacteriaceae bacteria expansion. [ABSTRACT FROM AUTHOR]

The negative impact of high-temperature disaster on agricultural production is becoming more and more serious, and reducing the vulnerability to high-temperature disaster is fundamental to achieving sustainable agricultural development. This study is mainly focused on the vulnerability to agricultural high-temperature disaster in Shaanxi Province, China. Firstly, 15 indicators were selected from the perspectives of exposure, sensitivity, and adaptability. Secondly, the combined weighting method (Critic-G1 model) was used to determine the weight of each index. Based on the aforementioned procedures, the Kullback–Leibler (KL)-distance-improved TOPSIS model was utilized to evaluate the vulnerability. Lastly, the obstacle model was used to analyze the influencing factors and to make recommendations for disaster prevention and mitigation. The results show that: (1) The improved TOPSIS model was closer to the results of the synthetical index method. (2) The northern and southern area of Shaanxi is more vulnerable to high-temperature disaster, especially in Ankang and Tongchuan. Low values are distributed in the Guanzhong Plain. (3) Sensitivity is the biggest obstacle to reducing the vulnerability to high-temperature disaster. Among the influencing factors, the meteorological yield reduction coefficient of variation, multiple cropping index and per capita net income of rural residents of the obstacle are high. Decreasing sensitivity should be accompanied by increasing adaptability to improve regional disaster preparedness and mitigation. The results of this study can provide a basis for the development of agricultural high-temperature disaster mitigation and loss reduction strategies and provide new ideas for future research. [ABSTRACT FROM AUTHOR]

As one of the ligands of aryl hydrocarbon receptor (AhR), baicalein, isolated from Scutellaria baicalensis Georgi, has been proved to exert potential therapeutic effects on ulcerative colitis (UC), but its therapeutic mechanism remains obscure. Authentically, ulcerative colitis can be alleviated by regulating the differentiation of naïve CD4+ T cells via AhR activation. So, our study planned to prove the hypothesis that baicalein protected mice against UC by regulating the balance of Th17/Treg cells via AhR activation. Immunofluorescence and western blot results showed that baicalein could promote AhR activation and induce it to transfer to the nucleus. We further determined the effect of baicalein on naïve CD4+ T cell differentiation in vitro by magnetic cell separation and drug intervention. The results showed that baicalein could promote Treg cell differentiation by activating AhR. In vivo study, UC mice were established by free drinking of dextran sulfate sodium (DSS) for 7 days and then were orally administrated by baicalein (10, 20, and 40 mg/kg), TCDD (AhR agonist), and CH223191 (antagonist). The results demonstrated that baicalein improved the symptoms of UC mice, regulated the balance of Th17/Treg cells, and restored the balance of proinflammatory cytokines such as IL-17, IL-6, and TNF-α; anti-inflammatory cytokines such as IL-10 and TGF-β; and epithelial protective cytokine IL-22 in UC mice, and these effects were related to AhR. Taken together, our research found that baicalein might be a potential drug for UC via regulating Treg cell differentiation and maintaining immune homeostasis and attempted to shed a light on the pivotal role of AhR in these effects. [ABSTRACT FROM AUTHOR]

Currently, the potential role of the alterations occurring in the liver immune system and intestinal flora in liver injury remains unknown. Our study aimed to explore the impacts of intestinal microbial barrier damage induced by ceftriaxone on liver immunity. We developed the BALB/c mice model by administering ceftriaxone. The intestinal microbial barrier damage was observed by 16S rRNA, and the pathological changes of intestines and livers were detected by H&E or transmission electron microscope. The activation of immunocytes were tested by Flow Cytometry; the expression of LPS, ALT, AST, IL-6 and TNF-α were detected by Limulus Test or ELISA. Compared to the control, the intestinal microbes significantly decreased in ceftriaxone group. Additionally, the weight of cecum contents increased, the intestinal wall became thinner and the villus in the small intestine and cecum were damaged. The expression of LPS and the ratio of liver lymphocytes were significantly increased. H&E results indicated the structures of liver arose the pathologic changes. Meanwhile, the content of serum ALT, AST, IL-6 and TNF-α increased. Collectively, our study indicates that the damages of gut microbial barrier induced by ceftriaxone prompted activation of immunocytes and release of inflammatory cytokines, which may lead to chronic inflammation in liver. [ABSTRACT FROM AUTHOR]

Background: Emodin is an active ingredient of traditional Chinese medicine Rheum palmatum L. and Polygonum cuspidatum, which possesses anti-inflammatory and intestinal mucosal protection effects. Our previous study found that emodin significantly alleviated ulcerative colitis induced by sodium dextran sulfate (DSS). In this study, we found the underlying mechanism of emodin on ulcerative colitis (UC).Purpose: We aimed to further explore the mechanism of emodin in the treatment of ulcerative colitis from the perspective of metabolism and intestinal flora.Methods: Ulcerative colitis was induced by 3% sodium dextran sulfate (DSS) on mice, and the mice were respectively treated with mesalazine, rosiglitazone, emodin, and emodin combined with GW9662 (PPARγ inhibitor) simultaneously. Weight changes, the disease activity index (DAI), colonic length, and pathologic changes in colon were used to evaluate the efficacy of emodin. LC-MS/MS was performed for metabolomics analysis of colon. In addition, intestinal flora was assessed using 16S rDNA sequencing. A vector-based short hairpin RNA (shRNA) method was used to silence PPARγ gene expression in Caco-2 cells.Results: Emodin binds to the active site of PPARγ protein and forms hydrogen bond interaction with ARG288 and CYS285 amino acids. Furthermore, Emodin significantly promotes the protein expression of PPARγ, while inhibiting iNOS and NF-kB p65 in UC mice, however, this effect is hardly shown when it is combined with GW9662 (the inhibitor of PPARγ). Meanwhile, emodin suppresses the expression of iNOS in Caco-2 cells induced with IFNγ and IL-22, but has no effect on its expression in shPPARγ-Caco-2 cells. In addition, through activating PPARγ signal pathway, emodin is capable of regulating colonic metabolism including oxidative phosphorylation and citrulline metabolism and effecting luminal availability of oxygen and nitrate. This promotes the recovery of anoxic environment of colon epithelial cells, which strains the growth and expansion of Enterobacteriaceae.Conclusion: The mechanism of Emodin in the treatment of ulcerative colitis relies on its regulation of PPARγ signal pathway, which could modulate colonic metabolism and restore intestinal homeostasis. [ABSTRACT FROM AUTHOR]

Landslides pose a constant threat to the lives and property of mountain people and may also cause geomorphological destruction such as soil and water loss, vegetation destruction, and land cover change. Landslide susceptibility assessment (LSA) is a key component of landslide risk evaluation. There are many related studies, but few analyses and comparisons of models for optimization. This paper aims to introduce the Tree-structured Parzen Estimator (TPE) algorithm for hyperparameter optimization of three typical neural network models for LSA in Shuicheng County, China, as an example, and to compare the differences of predictive ability among the models in order to achieve higher application performance. First, 17 influencing factors of landslide multiple data sources were selected for spatial prediction, hybrid ensemble oversampling and undersampling techniques were used to address the imbalanced sample and small sample size problem, and the samples were randomly divided into a training set and validation set. Second, deep neural network (DNN), recurrent neural network (RNN), and convolutional neural network (CNN) models were adopted to predict the regional landslides susceptibility, and the TPE algorithm was used to optimize the hyperparameters respectively to improve the assessment capacity. Finally, to compare the differences and optimization effects of these models, several objective measures were applied for validation. The results show that the high-susceptibility regions mostly distributed in bands along fault zones, where the lithology is mostly claystone, sandstone, and basalt. The DNN, RNN, and CNN models all perform well in LSA, especially the RNN model. The TPE optimization significantly improves the accuracy of the DNN and CNN (3.92% and 1.52%, respectively), but does not improve the performance of the RNN. In summary, our proposed RNN model and TPE-optimized DNN and CNN model have robust predictive capability for landslide susceptibility in the study area and can also be applied to other areas containing similar geological conditions. [ABSTRACT FROM AUTHOR]

Among the most frequent and dangerous natural hazards, landslides often result in huge casualties and economic losses. Landslide susceptibility mapping (LSM) is an excellent approach for protecting and reducing the risks by landslides. This study aims to explore the performance of Bayesian optimization (BO) in the random forest (RF) and gradient boosting decision tree (GBDT) model for LSM and applied in Shuicheng County, China. Multiple data sources are used to obtain 17 conditioning factors of landslides, Borderline-SMOTE and Randomundersample methods are combined to solve the imbalanced sample problem. RF and GBDT models before and after BO are adopted to calculate the susceptibility value of landslides and produce LSMs and these models were compared and evaluated using multiple validation approach. The results demonstrated that the models we proposed all have high enough model accuracy to be applied to produce LSM, the performance of the RF is better than the GBDT model without BO, while after adopting the Bayesian optimized hyperparameters, the prediction accuracy of the RF and GBDT models is improved by 1% and 7%, respectively and the Bayesian optimized GBDT model is the best for LSM in this four models. In summary, the Bayesian optimized RF and GBDT models, especially the GBDT model we proposed for landslide susceptibility assessment and LSM construction has a very good application performance and development prospects. [ABSTRACT FROM AUTHOR]