PAX2 is regulated by estrogen/progesterone through promoter methylation in endometrioid adenocarcinoma and has an important role in carcinogenesis via the AKT/mTOR signaling pathway.

Endometrioid adenocarcinoma (EEC) is one of the most common cancers of the female reproductive system. In recent years, much emphasis has been placed on early diagnosis and treatment. PAX2 (Paired box 2) inactivation is reportedly an important biomarker for endometrioid intraepithelial neoplasia (EIN) and EEC. However, the role of PAX2 in EEC carcinogenesis remains unclear. PAX2 expression and associated clinical characteristics were analyzed via The Cancer Genome Atlas, Gene Expression Omnibus, and Cancer Cell Line Encyclopedia databases and clinical paired EIN/EEC tissue samples. Bioinformatic analysis was conducted to identify the putative molecular function and mechanism of PAX2. Cell proliferation, colony formation, cell migration, and invasion assays in vitro, and mouse xenograft models were utilized to study the biological functions of PAX2 in vivo. Pyrosequencing and the demethylating drug 5-Aza-dc were used to verify promoter methylation in clinical tissues and cell lines, respectively. The mechanism underlying the regulatory effect of estrogen (E2) and progesterone (P4) on PAX2 expression was investigated by receptor block assay and double luciferase reporter assay. PAX2 expression was found to be significantly downregulated in EIN and EEC tissues, its overexpression inhibited EEC cell malignant behaviors in vivo and in vitro and inhibited the AKT/mTOR signaling pathway. PAX2 inactivation in EEC was related to promoter methylation, and its expression was regulated by E2 and P4 through their receptors via promoter methylation. Our findings elucidated the expression and function of PAX2 in EEC and have provided hitherto undocumented evidence of the underlying molecular mechanisms. PAX2 expression is suppressed by estrogen prompting its methylation through estrogen receptor. Furthermore, PAX2 regulates the AKT/mTOR signaling pathway to influence EEC progression. © 2024 The Pathological Society of Great Britain and Ireland.

Modulating Lysine Crotonylation in Cardiomyocytes Improves Myocardial Outcomes.

BACKGROUND: Ischemic heart disease is a major global public health challenge, and its functional outcomes remain poor. Lysine crotonylation (Kcr) was recently identified as a post-translational histone modification that robustly indicates active promoters. However, the role of Kcr in myocardial injury is unknown. In this study, we aimed to clarify the pathophysiological significance of Kcr in cardiac injury and explore the underlying mechanism. METHODS: We investigated the dynamic change of both the Kcr sites and protein level in left ventricular tissues at 2 time points following sham or cardiac ischemia-reperfusion injury, followed by liquid chromatography-coupled tandem mass tag mass spectrometry. After validation of the enriched protein Kcr by immunoprecipitation and Western blot, the function and mechanism of specific Kcr sites were further investigated in vitro and in vivo by gain- or loss-of-function mutations targeting Kcr sites of selected proteins. RESULTS: We found that cardiac ischemia-reperfusion injury triggers preferential Kcr of proteins required for cardiomyocyte contractility, including mitochondrial and cytoskeleton proteins, which occurs largely independently of protein-level changes in the same proteins. Those exhibiting Kcr changes were associated not only with disruption of cardiomyocyte mitochondrial, sarcomere architecture, and gap junction but also with cardiomyocyte autophagy and apoptosis. Modulating site-specific Kcr of selected mitochondrial protein IDH3a (isocitrate dehydrogenase 3 [NAD+] alpha) at K199 and cytoskeletal protein TPM1 (tropomyosin alpha-1 chain) at K28/29 or enhancing general Kcr via sodium crotonate provision not only protects cardiomyocyte from apoptosis by inhibiting BNIP3 (Bcl-2 adenovirus E18 19-kDa-interacting protein 3)-mediated mitophagy or cytoskeleton structure rearrangement but also preserves postinjury myocardial function by inhibiting fibrosis and apoptosis. CONCLUSIONS: Our results indicate that Kcr modulation is a key response of cardiomyocytes to ischemia-reperfusion injury and may represent a novel therapeutic target in the context of ischemic heart disease.

Detection of wheat saccharification power and protein content using stacked models integrated with hyperspectral imaging.

BACKGROUND: Wheat is one of the key ingredients used to make Chinese liquor, and its saccharification power and protein content directly affect the quality of the liquor. In pursuit of a non-destructive assessment of wheat components and the optimization of raw material proportions in liquor, this study introduces a precise predictive model that integrates hyperspectral imaging (HSI) with stacked ensemble learning (SEL). RESULTS: This study extracted hyperspectral information from 14 different varieties of wheat and employed various algorithms for preprocessing. It was observed that multiplicative scatter correction (MSC) emerged as the most effective spectral preprocessing method. The feature wavelengths were extracted from the preprocessed spectral data using three different feature extraction methods. Then, single models (support vector machine (SVM), backpropagation neural network (BPNN), random forest (RF), and gradient boosting tree (XGBoost)) and a SEL model were developed to compare the prediction accuracies of the SEL model and the single models based on the full-band spectral data and the characteristic wavelengths. The findings indicate that the MSC-competitive adaptive reweighted sampling-SEL model demonstrated the highest prediction accuracy, with Rp 2 (test set-determined coefficient) values of 0.9308 and 0.9939 for predicting the saccharification power and protein content and root mean square error of the test set values of 0.0081 U and 0.0116 g kg-1, respectively. CONCLUSION: The predictive model established in this study, integrating HSI and SEL models, accurately detected wheat saccharification power and protein content. This validation underscores the practical potential of the SEL model and holds significant importance for non-destructive component analysis of raw materials used in liquor. © 2024 Society of Chemical Industry.

Current understanding of the role of microRNAs from adipose-derived extracellular vesicles in obesity.

Obesity and its associated metabolic diseases, including diabetes, insulin resistance, and inflammation, are rapidly becoming a global health concern. Moreover, obese individuals are more likely to be infected with COVID-19. New research on adipose tissue is required to help us understand these metabolic diseases and their regulatory processes. Recently, extracellular vesicles (EVs) have been identified as novel intercellular vectors with a wide range of regulatory functions. The miRNAs carried by EVs participate in the regulation of white adipose tissue (WAT) browning, insulin resistance, diabetes, and inflammation. In addition, EV miRNAs demonstrate great potential for helping elucidating the mechanism of metabolic diseases, and for advancing their prevention and treatment. In this review, we focus on the mechanisms underlying the regulation of adipose differentiation and metabolic diseases by adipose-derived EV miRNAs. Understanding the role of these miRNAs should enrich our understanding of the etiology and pathogenesis of metabolic diseases caused by obesity.

DDR2, a discoidin domain receptor, is a marker of periosteal osteoblast and osteoblast progenitors.

INTRODUCTION: The periosteum has a bilayered structure that surrounds cortical bone. The outer layer is rich in connective tissue and fibroblasts, while the inner layer in contact with the cortical surface of the bone predominantly consists of osteoblasts and osteoblast progenitors. The identification of cell-specific surface markers of the bilayered structure of the periosteum is important for the purpose of tissue regeneration. MATERIALS AND METHODS: We investigated the expression of the discoidin domain tyrosine kinase receptor DDR2, fibroblast specific protein-1 (FSP-1) and alkaline phosphatase (ALP) in the periosteum of cortical bone by immunohistochemistry. Osteogenic differentiation was compared between DDR2- and FSP-1-expressing cells flow-sorted from the periosteum. RESULTS: We showed that DDR2 predominantly labeled osteogenic cells residing in the inner layer of the periosteum and that Pearson's coefficient of colocalization indicated a significant correlation with the expression of ALP. The mineralization of DDR2-expressing osteogenic cells isolated from the periosteum was significantly induced. In contrast, FSP-1 predominantly labeled the outer layer of periosteal fibroblasts, and Pearson's coefficient of colocalization indicated that FSP-1 was poorly correlated with the expression of DDR2 and ALP. FSP-1-expressing periosteal fibroblasts did not exhibit osteogenic differentiation for the induction of bone mineralization. CONCLUSION: DDR2 is a novel potential cell surface marker for identifying and isolating osteoblasts and osteoblast progenitors within the periosteum that can be used for musculoskeletal regenerative therapies.

[Non-Hodgkin's lymphoma in the jaw: A report of 3 cases and literature review].

To investigate the clinical manifestations, imaging features, and diagnosis for non-Hodgkin's lymphoma in the jaw, we retrospectively analyzed 3 cases of non-Hodgkin's lymphoma in the jaw and reviewed relevant literature. Three patients' lesion occurred in the maxilla with early painless masses. Two patients were diagnosed as diffuse large B-cell lymphoma via biopsy, and one patient underwent maxillofacial resection with pathological examination which showed plasmaoblastoma lymphoma. Non-Hodgkin's lymphoma in the maxilla is rare and easily misdiagnosed due to the atypical clinical features. Biopsy at the early stage of the lesion and pathological examination can assist the diagnosis for non-Hodgkin's lymphoma.

One-time ray-tracing optimization method and its application to the design of an illuminator for a tube photo-bioreactor.

This study details a one-time ray-tracing optimization method for the optimization of LED illumination systems [S.-C. Chu and H.-L. Yang, "One-time ray-tracing method for the optimization of illumination system," in Proceedings of International Conference on Optics in Precision Engineering and Nanotechnology (icOPEN, 2013), 87692M]. This method optimizes the performance of illumination systems by modifying the light source's radiant intensity distribution with a freeform lens, instead of modifying the illumination system structure. Because illumination system structures are unchanged in the design process, a designer can avoid the common problems faced when designing illumination systems, i.e., the repeated and time-consuming ray-tracing process when optimizing the illumination system parameters. The easy approaches of the proposed optimization method to sample the target illumination areas and to divide the light source radiant intensity distribution make the proposed method can be applied to both direct-lit and non-direct-lit illumination systems. To demonstrate the proposed method, this study designs an illuminator for a tube photo-bioreactor using the proposed one-time ray-tracing method. A comparison shows that in the designing of the photo-bioreactor, tracing all rays one time requires about 13 hours, while optimizing the light source's radiant intensity distribution requires only about twenty minutes. The considerable reduction in the ray-tracing time shows that the proposed method is a fast and effective way to design illumination systems.

A Role for miRNAs in the Regulation of Brown Adipose Tissue Whitening in Goats (Capra Hircus).

A study of the mechanism of and metabolic regulation of brown adipose tissue (BAT) production is important for improving the survival rate of young animals. In the present study, we observed that perirenal adipose tissue in goats undergoes a rapid BAT whitening after birth. However, the underlying regulatory mechanism remains unknown. To address this further, we investigated the role of miRNAs in regulating the whitening process of BAT in goats. First, we identified the dynamic expression profiles of miRNAs during the whitening of BAT in Dazu black goat using RNA-seq. We identified a total of 1374 miRNAs, including 408 exist miRNAs, 693 known miRNAs, and 273 novel miRNAs. By analysis of the differentially expressed miRNAs (DE miRNAs), we found that 102 highly expressed miRNAs, including chi-miR-144-3p, chi-miR-144-5p, chi-miR-378-5p, chi-miR-136-3p, chi-miR-381, chi-miR-323b, chi-miR-1197-3p, chi-miR-411b-3p, and chi-miR-487a-3p, were enriched in BAT. In addition, 60 highly expressed miRNAs, including chi-miR-184, chi-miR-193a, chi-miR-193b-3p, chi-let-7c-5p, and chi-let-7e-5p, were enriched in white fat-like tissue. An analysis of miRNAs that were linearly down-regulated (profile 0) or linearly up-regulated (profile 19) over the D0 - D28 period found that these DE miRNAs were mainly enriched in the Hippo signaling pathway, Cytokine-cytokine receptor interactions, and the TGF-beta signaling pathway. Furthermore, we confirmed that chi-let-7e-5p promotes the proliferation and differentiation of brown adipocytes. These results should facilitate a better understanding of the molecular regulation of miRNAs involved in BAT whitening in goats.

Effects of episodic future thinking in health behaviors for weight loss: A systematic review and meta-analysis.

BACKGROUND: Obesity and related diseases have become one of the leading causes of death worldwide, which has been linked to biopsychosocial effects such as type 2 diabetes, cardiovascular disease, various cancers, depression, and weight stigma. Episodic future thinking (EFT) has been found to support the development of changes in health behaviors. However, the effectiveness of EFT in enhancing weight loss behavior and health outcomes is not well supported. OBJECTIVE: To establish implementation options for the EFT intervention, and critically synthesize the data that assesses the impact of EFT on weight loss behavior and health outcomes. METHODS: Searches were performed across 5 Chinese and 9 English databases systematically from inception to March 2023. Randomized controlled trials, written in English or Chinese were included. Two independent reviewers evaluated all relevant studies, who also assessed the risk of bias, and extracted the data. Meta-analyses were conducted using Review Manager 5.4.1. The quantity of evidence's certainty was assessed using the Risk bias assessment tool RoB2 (revised version 2019). This study was registered in PROSPERO. RESULTS: A total of 1740 participants were included, and 18 studies were eligible for inclusion. Meta-analysis reported a statistically significant effect size favoring EFT on delay discounting (AUC) (MD = 0.1, 95 % CI: [0.02, 0.17], P = 0.01; I2 = 73 %), delay discounting (K) (MD = -0.85, 95 % CI: [-1.44, -0.26], P = 0.005; I2 = 77 %), energy intake (MD = -107.59, 95 % CI: [-192.21, -22.97], P = 0.01; I2 = 57 %), grocery purchased (SMD: -0.91, 95 % CI:[-1.48, -0.34], P = 0.002; I2 = 63 %), and BMI (MD = -2.73, 95 % CI: [-5.13, -0.32], P = 0.03; I2 = 0 %, two studies). CONCLUSIONS: EFT was found to have favorable effects on delay discounting, energy intake, grocery purchased, and BMI of individuals. The presence of high heterogeneity is evident in most of the outcomes. The modalities of EFT intervention are still in the exploratory phase, there is no consensus on the valence, context type, longest delay time, and practice strategy, and it needs to be further explored for different populations. It is anticipated that additional well-designed studies will continue developing high-quality evidence in this field.

Causal association of immune cells and endometriosis: a Mendelian randomization study.

Objective: To investigate the causal effect of immune cells on endometriosis (EMS), we performed a Mendelian randomization analysis. Methods: Mendelian randomization (MR) uses genetic variants as instrumental variables to investigate the causal effects of exposures on outcomes in observational data. In this study, we conducted a thorough two-sample MR analysis to investigate the causal relationship between 731 immune cells and endometriosis. We used complementary Mendelian randomization (MR) methods, including weighted median estimator (WME) and inverse variance weighted (IVW), and performed sensitivity analyses to assess the robustness of our results. Results: Four immune phenotypes have been found to be significantly associated with the risk of developing EMS: B cell %lymphocyte (WME: OR: 1.074, p = 0.027 and IVW: OR: 1.058, p = 0.008), CD14 on Mo MDSC (WME: OR: 1.056, p =0.021 and IVW: OR: 1.047, p = 0.021), CD14+ CD16- monocyte %monocyte (WME: OR: 0.947, p = 0.024 and IVW: OR: 0.958, p = 0.011), CD25 on unsw mem (WME: OR: 1.055, p = 0.030 and IVW: OR: 1.048, p = 0.003). Sensitivity analyses confirmed the main findings, demonstrating consistency across analyses. Conclusions: Our MR analysis provides compelling evidence for a direct causal link between immune cells and EMS, thereby advancing our understanding of the disease. It also provides new avenues and opportunities for the development of immunomodulatory therapeutic strategies in the future.

Rapid determination of starch and alcohol contents in fermented grains by hyperspectral imaging combined with data fusion techniques.

Starch and alcohol serve as pivotal indicators in assessing the quality of lees fermentation. In this paper, two hyperspectral imaging (HSI) techniques (visible-near-infrared (Vis-NIR) and NIR) were utilized to acquire separate HSI data, which were then fused and analyzed toforecast the starch and alcohol contents during the fermentation of lees. Five preprocessing methods were first used to preprocess the Vis-NIR, NIR, and the fused Vis-NIR and NIR data, after which partial least squares regression models were established to determine the best preprocessing method. Following, competitive adaptive reweighted sampling, successive projection algorithm, and principal component analysis algorithms were used to extract the characteristic wavelengths to accurately predict the starch and alcohol levels. Finally, support vector machine (SVM)-AdaBoost and XGBoost models were built based on the low-level fusion (LLF) and intermediate-level fusion (ILF) of single Vis-NIR and NIR as well as the fused data. The results showed that the SVM-AdaBoost model built using the LLF data afterpreprocessing by standard normalized variable was most accurate for predicting the starch content, with an R P 2 $\ R_P^2$ of 0.9976 and a root mean square error of prediction (RMSEP) of 0.0992. The XGBoost model built using ILF data was most accurate for predicting the alcohol content, with an R P 2 $R_P^2$ of 0.9969 and an RMSEP of 0.0605. In conclusion, the analysis of fused data from distinct HSI technologies facilitates rapid and precise determination of the starch and alcohol contents in fermented grains.

Causal relationships between modifiable risk factors and polycystic ovary syndrome: a comprehensive Mendelian randomization study.

Background: Polycystic Ovary Syndrome (PCOS) is a heritable condition with an as yet unclear etiology. Various factors, such as genetics, lifestyle, environment, inflammation, insulin resistance, hyperandrogenism, iron metabolism, and gut microbiota, have been proposed as potential contributors to PCOS. Nevertheless, a systematic assessment of modifiable risk factors and their causal effects on PCOS is lacking. This study aims to establish a comprehensive profile of modifiable risk factors for PCOS by utilizing a two-sample Mendelian Randomization (MR) framework. Methods: After identifying over 400 modifiable risk factors, we employed a two-sample MR approach, including the Inverse Variance Weighted (IVW) method, Weighted Median method, and MR-Egger, to investigate their causal associations with PCOS. The reliability of our estimates underwent rigorous examination through sensitivity analyses, encompassing Cochran's Q test, MR-Egger intercept analysis, leave-one-out analysis, and funnel plots. Results: We discovered that factors such as smoking per day, smoking initiation, body mass index, basal metabolic rate, waist-to-hip ratio, whole body fat mass, trunk fat mass, overall health rating, docosahexaenoic acid (DHA) (22:6n-3) in blood, monounsaturated fatty acids, other polyunsaturated fatty acids apart from 18:2 in blood, omega-3 fatty acids, ratio of bisallylic groups to double bonds, omega-9 and saturated fatty acids, total lipids in medium VLDL, phospholipids in medium VLDL, phospholipids in very large HDL, triglycerides in very large HDL, the genus Oscillibacter, the genus Alistipes, the genus Ruminiclostridium 9, the class Mollicutes, and the phylum Tenericutes, showed a significant effect on heightening genetic susceptibility of PCOS. In contrast, factors including fasting insulin interaction with body mass index, sex hormone-binding globulin, iron, ferritin, SDF1a, college or university degree, years of schooling, household income, the genus Enterorhabdus, the family Bifidobacteriaceae, the order Bifidobacteriales, the class Actinobacteria, and the phylum Actinobacteria were determined to reduce risk of PCOS. Conclusion: This study innovatively employs the MR method to assess causal relationships between 400 modifiable risk factors and the susceptibility of PCOS risk. It supports causal links between factors like smoking, BMI, and various blood lipid levels and PCOS. These findings offer novel insights into potential strategies for the management and treatment of PCOS.

Global gene expression profiling of perirenal brown adipose tissue whitening in goat kids reveals novel genes linked to adipose remodeling.

BACKGROUND: Brown adipose tissue (BAT) is known to be capable of non-shivering thermogenesis under cold stimulation, which is related to the mortality of animals. In the previous study, we observed that goat BAT is mainly located around the kidney at birth, and changes to white adipose tissue (WAT) in the perirenal adipose tissue of goats within one month after birth. However, the regulatory factors underlying this change is remain unclear. In this study, we systematically studied the perirenal adipose tissue of goat kids in histological, cytological, and accompanying molecular level changes from 0 to 28 d after birth. RESULTS: Our study found a higher mortality rate in winter-born goat kids, with goat birthing data statistics. Then we used thermal imaging revealing high temperature in goat hips at postnatal 0 d and gradually decrease during 28 d. This is consistent with the region of perirenal BAT deposition and highlights its critical role in energy expenditure and body temperature regulation in goat kids. Additionally, we found a series of changes of BAT during the first 28 d after birth, such as whitening, larger lipid droplets, decreased mitochondrial numbers, and down-regulation of key thermogenesis-related genes (UCP1, DIO2, UCP2, CIDEA, PPARGC1a, C/EBPb, and C/EBPa). Then, we used RNA-seq found specific marker genes for goat adipose tissue and identified 12 new marker genes for BAT and 10 new marker genes for WAT of goats. Furthermore, 12 candidate genes were found to potentially regulate goat BAT thermogenesis. The mechanism of the change of this biological phenomenon does not involve a large-scale death of brown adipocytes and subsequent proliferation of white adipocytes. While apoptosis may play a limited role, it is largely not critical in this transition process. CONCLUSIONS: We concluded that perirenal BAT plays a crucial role in thermoregulation in newborn goat kids, with notable species differences in the expression of adipose tissue marker genes, and we highlighted some potential marker genes for goat BAT and WAT. Additionally, the change from BAT to WAT does not involve a large-scale death of brown adipocytes and subsequent proliferation of white adipocytes.

The proliferation and differentiation characteristics of co-cultured porcine preadipocytes and muscle satellite cells in vitro.

To explore the proliferation and differentiation characteristics of co-cultured porcine preadipocytes and muscle satellite cells, preadipocytes and muscle satellite cells were isolated from the healthy nascent landrace. Oil Red O stain and desmin immunohistochemistry were used to identify the two solo-cultured cells. Methyl thiazolyl tetrazolium (MTT) colorimetric assay was used to detect the proliferation characteristic of co-cultured cells, and the expression level of differentiation marker genes lipoprotein lipase (LPL), peroxisome proliferator-activated receptors (PPARγ), myogenic factor 5 (Myf5), myogenin (MyoG) were analyzed with reverse transcription PCR (RT-PCR) and western blot. The success of co-culture system was proved. In the co-cultured cells, slight lipid droplets were observed and appeared more slowly. The polykaryocytes fused into myotubes in co-cultured cells were less and relatively slow than that in solo myocytes. After fusion, the proliferation rate of co-cultured cells was higher than that in the solo-cultured muscle satellite cells (P < 0.01), and the duration were also longer. On day 5 and 10, the expression of the marker genes in earlier stage of cell differentiation (LPL and Myf5) were lower than those in the solo-cultured cells (P < 0.01) (except LPL gene at day 5). Moreover, the expression of intermediate and advanced stages' maker genes (PPARγ2 and MyoG) were hardly detectable at day 5, but increased significantly on day 10 (P < 0.01). These results confirm that the co-culture system could facilitate the cells' growth and proliferation, meanwhile, inhibited the cell differentiation.

Screening genes related to embryo implantation in Dazu black goats (Capra Hircus) by morphological and transcriptome analyses.

Embryo implantation is a critical step in the establishment of pregnancy. However, the mechanisms of embryo implantation during early pregnancy in goats remain unclear due to the lack of published studies examining the genes involved in embryo implantation. As a popular goat breed in southwest China, Dazu black goats (DBGs) are highly adaptable and exhibit high fertility, making this breed a good model in which to study reproductive performance of goats. Here, morphological analysis showed that compared with the non-pregnant (NP) groups, the endometrial thickness of the goats in the P15 and P19 groups (15 and 19-day pregnant groups, respectively) were increased (P < 0.01). Proliferating Cell Nuclear Antigen (PCNA) staining showed that PCNA was expressed in the NP, P15, and P19 groups. Transcriptome analysis was then conducted to identify gene expression patterns in uterine tissue during DBG embryo implantation. By comparing uterine tissue at different stages of embryonic implantation, 48 in NP_vs._P15, 318 in NP_vs._P19, and 1439 in P15_vs._P19, differentially expressed mRNAs were identified. Gene Ontology (GO) enrichments of the differentially expressed genes were enriched in the extracellular region, extracellular space, transporter activity, extracellular region, immune system process, immune response, and defense response etc. Through Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, the biological metabolic pathways with which the differentially expressed genes are associated were explored. Through KEGG analysis, the DBGs were associated with oxidative phosphorylation, complement and coagulation cascades, arginine and proline metabolism, metabolic pathways, arachidonic acid metabolism, and ECM-receptor interaction. These candidate genes (CSF1, C1S, CST6, SLC24A4, HOXA10, HOXA11, MMP9, and ITGA11) and enriched signaling pathways could be valuable references for exploring the molecular mechanisms underlying goat embryo implantation.

Mammalian embryo implantation refers to the process that the embryo normally develops to the blastocyst stage, contacts the maternal endometrium, and establishes one kind structural connection. This intimate connection allows for the process of maternal­fetal material exchange, which is one of the key steps in the successful pregnancy. The success of embryo implantation depends on two aspects of the endometrium and the embryo, 1) the maternal endometrium is in a receptive state, and 2) the embryo develops normally, both of which are indispensable. In this stage, the mechanism of embryo implantation early in goat pregnancy is not clear, as only few limited studies have been conducted into gene expression in the uterus during embryo implantation. In this study, goat uterine tissue was systematically collected during the periods of non-pregnancy, pregnancy recognition, and embryo adhesion. And the morphological changes of the uterus in the different gestational stages were also observed, and gene expression associated with embryo implantation was further analyzed by RNA-seq method. This study provides a preliminary dataset for analyzing the molecular mechanisms regulating goat embryo implantation.

Screening Antibacterial Constituents of Scutellaria Radix Based on Spectrum-Effect Relationships Between HPLC Fingerprints and the Inhibition of Oral Bacteria.

Scutellaria Radix (SR) is a widely used traditional Chinese medicine in clinics for the therapy of upper respiratory tract infectious diseases. Modern pharmacological investigations indicate that SR exerts a significant bacteriostatic effect on different oral bacteria, but few studies have systematically investigated the main active constituents of SR causing this activity. Spectrum-effect correlation analysis was applied to screening anti-oral-microbial constituents from SR. The aqueous extract of SR was divided into fractions of different polarity and the active fraction was screened using the agar diffusion method. Eighteen batches of SR were further prepared and the chromatography fingerprint was established using high-performance liquid chromatography. The antibacterial activities of these constituents were examined against different oral bacteria. Finally, the spectrum-effect relationship between the fingerprint and those antibacterial effects was analyzed by gray correlation analysis and partial least squares regression. Five active constituents were screened out and their antibacterial activity was systematically confirmed by a knockout/in strategy combined with a biofilm extraction method, which indicated that these five compounds were responsible for the antibacterial activity of SR. These results form the basis for further development and improved quality control of SR in the treatment of oral diseases.

Comprehensive treatment strategy for diesel truck exhaust.

At present, diesel vehicles still play an irreplaceable role in the traditional energy field in China. Diesel vehicle exhaust contains hydrocarbons, carbon monoxide, nitrogen oxides, and particulate matter, which can lead to haze weather, photochemical smog, and the greenhouse effect; endanger human health; and damage the ecological environment. In 2020, the number of motor vehicles in China reached 372 million, and the number of automobiles reached 281 million, of which 20.92 million are diesel vehicles, accounting for only 5.6% of the number of motor vehicles and 7.4% of the number of automobiles. Nevertheless, diesel vehicles emitted 88.8% of nitrogen oxides and 99% of particulate matter in total vehicle emissions. Diesel vehicles, especially diesel trucks, have become the top priority of motor vehicle pollution control. However, there are few reviews on the comprehensive treatment of diesel vehicle exhaust. This review provides an overview of exhaust gas composition, hazards, and treatment techniques. Phytoremediation, three-way catalytic conversion, rare earth catalytic degradation, and nanoscale TiO2 catalytic degradation are briefly described.

Association of ACE2 gene functional variants with gestational diabetes mellitus risk in a southern Chinese population.

Objective: To explore the relationship between angiotensin-converting enzyme 2 (ACE2) genetic variants and gestational diabetes mellitus (GDM) in a southern Chinese population. Methods: Potential functional variants (rs2106809, rs6632677, and rs2074192) of ACE2 were selected and genotyped in 566 GDM patients and 710 normal pregnaõncies in Guilin, China. The odds ratio (OR) and its corresponding 95% confidence interval (CI) were used to evaluate the association between genetic variant and GDM risk, and then the false positive report probability, multifactor dimensional reduction (MDR), and bioinformatics tools were used to confirm the significant association in the study. Results: After adjusting for age and prepregnancy body mass index, logistic regression analysis showed that ACE2 rs6632677 was significantly associated with a decreased risk of GDM (CC vs. GG: adjusted OR = 0.09, 95% CI: 0.01 - 0.71, P = .023; GC/CC vs. GG: adjusted OR = 0.68, 95% CI = 0.46 - 0.99, P = .048; and CC vs. GG/GC: adjusted OR = 0.09, 95% CI = 0.01 - 0.72, P = .024), whereas rs2074192 was associated with increased GDM risk (TT vs. CC/CT: adjusted OR = 1.38, 95% CI = 1.08 - 1.75, P = .009). Furthermore, we found that rs6632677 interacted with SBP (P interaction = .043) and FPG (P interaction = .021) and rs2074192 interacted with HDL-c (P interaction = .029) and LDL-c (P interaction = .035) to influence the GDM risk of the individual. In the MDR analysis, the rs6632677 was the best one-locus model, and the three-loci model was the best interaction model to predict GDM risk. In addition, functional analysis confirmed that rs2074192 may regulate the splicing process of ACE2 gene. Conclusion: ACE2 gene variants are significantly associated with the risk of GDM via gene-gene and gene-environment combinations. The rs2074192 C > T affects the splicing of the ACE2 gene, which may be a potential mechanism leading to the changed susceptibility of an individual female during pregnancy to GDM.

Transcriptome-based selection and validation of optimal reference genes in perirenal adipose developing of goat (Capra hircus).

Brown adipose tissue (BAT) is mainly present in young mammals and is important for maintaining body temperature in neonatal mammals because of its ability to produce non-shivering thermogenesis. There is usually a large amount of BAT around the kidneys of newborn kids, but the BAT gradually "whiting" after birth. Screening and validating appropriate reference genes is a prerequisite for further studying the mechanism of goat brown adipose tissue "whiting" during the early stages. In this study, the expression stability of 17 candidate reference genes: 12 COPS8, SAP18, IGF2R, PARL, SNRNP200, ACTG1, CLTA, GANAB, GABARAP, PCBP2, CTSB, and CD151) selected based on previous transcriptome data as new candidate reference genes, 3 (PFDN5, CTNNB1, and EIF3M) recommended in previous studies, and 2 traditional reference genes (ACTB and GAPDH) was evaluated. Real-time quantitative PCR (RT-qPCR) technology was used to detect the expression level of candidate reference genes during goat BAT "whiting". Four algorithms: Normfinder, geNorm, ΔCt method, and BestKeeper, and two comprehensive algorithms: ComprFinder and RefFinder, were used to analyze the stability of each candidate reference genes. GABARAP, CLTA, GAPDH, and ACTB were identified as the most stable reference genes, while CTNNB1, CTSB, and EIF3M were the least stable. Moreover, two randomly selected target genes IDH2 and RBP4, were effectively normalized using the selected most stable reference genes. These findings collectively suggest that GABARAP, CLTA, GAPDH, and ACTB are relatively stable reference genes that can potentially be used for the development of perirenal fat in goats.

Genome-Wide Selection Sweep between Wild and Local Pigs from Europe for the Investigation of the Hereditary Characteristics of Domestication in Sus Scrofa.

The phenotypic characteristics of existing domestic pigs (DPs) greatly differ from those of wild boar (WB) populations thousands of years ago. After thousands of years of human domestication, WB and DP have diverged greatly in terms of genetics. Theoretically, worldwide local pigs have independent contributions from their local WBs at the beginning of Sus scrofa domestication. The investigation of the vicissitude of the heredity material between domestic populations and their wild ancestors will help in further understanding the domestication history of domestic animals. In the present study, we performed a genome-wide association scan (GWSA) and phylogeny estimation with a total of 1098 public European Illumina 60K single nucleotide polymorphism data, which included 650 local DPs and 448 WBs. The results revealed that the phylogenetic relationship of WBs corresponds to their geographical distribution and carries large divergence with DPs, and all WB breeds (e.g., HRWB, SBWB, and TIWB) presents a closely linkage with the middle WB (e.g., HRWB, and PLWB). In addition, 64 selected candidate genes (e.g., IDH2, PIP5K1B, SMARCA2, KIF5C, and TJP2) were identified from GWSA. A total of 63 known multiple biological functional pathways were annotated by 22 genes, and ubiquinone and other terpenoid-quinone biosynthesis pathways that belong to the metabolism of cofactors and vitamins were significantly enriched (p < 0.05). The most frequent (28.57%) pathways were classified under metabolism. We confirmed that the middle European WB has made an important genetic contribution to the entire European WB populations. A series of selected genes discovered from this study provides the scientific community with a deeper understanding of the heredity performance of metabolism and emotion and the real purpose behind domestication.