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Metabolic - associated fatty liver disease (MAFLD) is a common hepatic disorder with increasing prevalence, and early detection remains inadequately achieved. This study aims to explore the relationship between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and MAFLD, and to establish a predictive model for MAFLD using NHHR as a key variable. All participants were selected from the NHANES cohort, spanning from 2017 to March 2020. Multiple linear regression models were employed to examine the relationship between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and the controlled attenuation parameter (CAP). To explore the non-linear association between NHHR and CAP, smooth curve fitting and restricted cubic splines (RCS) of the adjusted variables were utilized. Subgroup analyses were conducted to identify variations in the relationships between the independent and dependent variables across different populations. Finally, a metabolic - associated fatty liver disease (MAFLD) prediction model was developed using seven machine learning methods, including eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), Multilayer Perceptron (MLP), Random Forest, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and logistic regression. The SHAP (SHapley Additive exPlanations) value was employed to interpret the importance of various features. Weighted multiple linear regression models revealed a significant positive correlation between the NHHR and the CAP (Beta =  7.42, 95% CI: 5.35-9.50, P <  0.001). Smooth curve fitting and RCS demonstrated a non-linear relationship between NHHR and CAP. Subgroup analyses indicated that this relationship was more pronounced in females. Among the seven machine learning predictive models incorporating NHHR, the XGBoost algorithm exhibited the highest predictive performance, with an area under the curve (AUC) of 0.828. Furthermore, NHHR was identified as the second most important feature in the SHAP analysis, following body mass index (BMI), highlighting its potential in predicting MAFLD. A significant positive correlation was identified between the NHHR and the CAP. The inclusion of NHHR in the XGBoost predictive model for MAFLD demonstrated robust predictive capability, providing a valuable tool for the early detection of MAFLD with considerable clinical application potential.

The postpartum period is critical for maternal health status after childbirth. The traditional Chinese postpartum confinement practice, \"doing-the-month\", is considered especially effective in helping mothers recover during the postpartum period. However, research has not provided evidence to confirm its benefits. Postpartum depression is a common postpartum disease that seriously threatens maternal health. The systematic review aims to explore the association between \"doing-the-month\" and postpartum depression in the Chinese female population and to provide a scientific foundation for evidence-based postpartum maternal care. Five databases (PubMed, Embase, Web of Science, Scopus, Cochrane, PsycINFO, and Web of Science) were searched according to the protocol (INPALSY202320102). The JBI assessment tool was used to assess the quality of the included studies. Sixteen quantitative studies from China and Chinese female immigrants in other countries, including 15 cross-sectional studies and 1 randomized controlled study, were identified. Four studies indicated that \"doing-the-month\" rituals reduced postpartum depression risk while 2 studies showed opposite results; 10 studies did not show a significant association between \"doing-the-month\" practices and postpartum depression. There is conflicting evidence regarding the association between \"doing-the-month\" and the likelihood of developing postpartum depression. Some studies have explored the impact of family ties, particular rituals, and specific stressors during the postpartum period on the occurrence of postpartum depression in Chinese women. According to current research, \"doing-the-month\" practice failed to show a significant protective effect on postpartum depression in the Chinese maternal population. Evidence-based medical health education for the Chinese postpartum female community is urgently needed.

The postpartum period is critical for maternal health status after childbirth. The traditional Chinese postpartum confinement practice, \"doing-the-month\", is considered especially effective in helping mothers recover during the postpartum period. However, research has not provided evidence to confirm its benefits. Postpartum depression is a common postpartum disease that seriously threatens maternal health. The systematic review aims to explore the association between \"doing-the-month\" and postpartum depression in the Chinese female population and to provide a scientific foundation for evidence-based postpartum maternal care. Five databases (PubMed, Embase, Web of Science, Scopus, Cochrane, PsycINFO, and Web of Science) were searched according to the protocol (INPALSY202320102). The JBI assessment tool was used to assess the quality of the included studies. Sixteen quantitative studies from China and Chinese female immigrants in other countries, including 15 cross-sectional studies and 1 randomized controlled study, were identified. Four studies indicated that \"doing-the-month\" rituals reduced postpartum depression risk while 2 studies showed opposite results; 10 studies did not show a significant association between \"doing-the-month\" practices and postpartum depression. There is conflicting evidence regarding the association between \"doing-the-month\" and the likelihood of developing postpartum depression. Some studies have explored the impact of family ties, particular rituals, and specific stressors during the postpartum period on the occurrence of postpartum depression in Chinese women. According to current research, \"doing-the-month\" practice failed to show a significant protective effect on postpartum depression in the Chinese maternal population. Evidence-based medical health education for the Chinese postpartum female community is urgently needed.

Colorectal cancer (CRC) is a prevalent malignancy with significant mortality rates globally. Understanding the genetic and molecular mechanisms underlying CRC development is crucial for improving therapeutic strategies. In this study, we utilized cis-eQTL summary data to identify genes potentially causally associated with CRC. The expression levels of candidate genes in tumor and normal tissues were compared using the GEPIA2 database. The correlations between FUT8 expression and cellular functions, tumor mutation burden, immune checkpoint genes, and immune infiltration were analyzed. Molecular docking was performed to identify potential drugs targeting FUT8, and the effects of the selected drug on cell proliferation were evaluated using the MTT assay. Additionally, the cellular thermal shift assay (CETSA) was employed to assess the interaction between the drug and the target protein. We identified 19 genes with eQTLs potentially associated with CRC, among which six eQTLs were associated with increased CRC risk, including FUT8. FUT8 was significantly overexpressed in CRC tumor tissues and correlated with various cellular functions such as stemness, invasion, EMT, and metastasis. Higher FUT8 expression was associated with higher tumor mutation burden and significant correlations with multiple immune checkpoint genes. Molecular docking identified VE-822 as a promising drug candidate targeting FUT8, which demonstrated inhibitory effects on CRC cell proliferation. The CETSA results indicated that VE ‒ 822 could bind to FUT8 and improve its thermal stability. FUT8 is a crucial gene that causes colon cancer and is linked to tumour immunity. VE-822 is a promising candidate for treating CRC by targeting FUT8.

This study establishes a homogeneous half-space and a horizontally layered two-layer background stratigraphy model using cross-borehole electrical resistivity tomography (ERT) based on an incomplete Gauss–Newton (IGN) method to investigate the resistivity inversion characteristics of CO2 storage zones. The effects of storage zone volume (VCO2), storage zone resistivity (ρCO2), background formation resistivity (ρf), and CO2 diffusion on inversion results were systematically analyzed, and the mechanisms underlying the influence of different parameters on inversion imaging were explored. The results indicate that an increase in the VCO2 significantly affects the inverted resistivity. The ρCO2 can be well inverted within a certain range, but inversion accuracy decreases once the resistivity exceeds a threshold. The ρf is a critical factor influencing inversion results; as the ρf increases, the inverted resistivity values rise markedly, although this effect exhibits an upper limit. The study also uncovers the exponential nature of CO2 diffusion in the storage zone, where diffusion leads to exponential changes in resistivity and the delineation of the diffusion zone is enhanced by comparing pre- and post-injection resistivity differences. These findings offer valuable insights for CO2 storage monitoring, contributing to both safety assessments and the evaluation of storage stability in geological sequestration.

Pollen, as an important component of Eucommia ulmoides (EUP), is rich in nutrients and is receiving increasing attention. At present, there are no reports on research related to the chemical composition and quality standards of EUP, and there are significant quality differences and counterfeit phenomena in the market. This study used a UPLC-QTOF-MS system to identify 49 chemical components in EUP for the first time. In the second step, 2,2-diphenyl-1-picrylhydrazyl (DPPH)-HPLC antioxidant activity screening technology was used to identify the main active components of EUP, quercetin-3-O-sophoroside (QSH), quercetin-3-O-sambubioside (QSB), and quercetin 3-O-neohesperidoside (QNH), and their purification, preparation, and structure identification were carried out. Third, molecular docking was used to predict the activity of these components. Fourth, the intracellular ROS generation model of RAW264.7 induced by H2O2 was used to verify and evaluate the activity of candidate active ingredients to determine their feasibility as Q-markers. Finally, a quality control method for EUP was constructed using the three selected components as Q-markers. The identification of chemical components and the discovery, prediction, and confirmation of characteristic Q-markers in EUP provide important references for better research on EUP and the effective evaluation and control of its quality. This approach provides a new model for the quality control of novel foods or dietary supplements.

Sika deer ( , 1838) antler is a highly esteemed tonic renowned for its abundant assortment of polypeptides, polysaccharides, amino acids, and minerals, and is recognized for its multifarious pharmacological properties. However, limited research has been conducted regarding the variation in composition of deer antlers between the upper and basal sections, as well as their pharmacological effects on immunological activity and anti-fatigue in mice. The objective of this study was to conduct a comprehensive analysis on the appearance, chemical composition, and pharmacological effects of different components within sika deer antlers. This investigation aims to elucidate the disparities in quality among various parts of antlers and establish a theoretical foundation for the precise utilization of sika deer antlers. The contents of protein, amino acids, polysaccharides, phospholipids, minerals and nucleotides in wax, powder, gauze and bone slices were determined by different nutrient assays. Then, 100 mice were randomly divided into 5 groups. The mice in control group were administered 0.3 mL of saline solution per day. The mice in experimental groups were administered 0.3 mL enzymatic hydrolysate of the wax slice, powder slice, gauze slice, bone slice separately per day, continuously for 14 days from the first day. The effect of antler on boosting immunity was evaluated by testing organ indices and assessing immunoglobulin levels by ELISA. Anti-fatigue effects were assessed by a mouse swimming test. Finally, the correlation between composition and pharmacological effects was analysed. The content of each marker substance gradually decreases from the upper to the basal of deer antler. The protein and uracil content in the wax slice were significantly higher than the other three groups ( < 0.05), and the phospholipid and inosine content were strongly significantly higher than the other three groups ( < 0.01). The content of polysaccharides and hypoxanthine in the wax slice group and powder slice group was significantly higher than that in the gauze slice group and bone slice group ( < 0.05). The amino acid content decreases from the upper to the basal section. Among, the content of Glu, Gly, His, and Pro wax slice was significantly higher than the other three groups ( < 0.01). The content of other minerals except Fe and Mg in the wax slice group was significantly higher than the other three groups ( < 0.01), and the content of Fe and Mg in the bone slice was the highest. Additionally, the immune organ index, immunoglobulin, and glycogen contents displayed a significant increase in comparison to both the control group and the other experimental groups ( < 0.05). And the swimming endurance of mice in the wax slice group was significantly prolonged ( < 0.01). The skeletal muscle state of the wax group mice exhibited superior characteristics, characterized by distinct horizontal stripes and tightly arranged muscle fibers. In contrast, the bone group displayed noticeable yet relatively less compact horizontal stripes. Among the organic and inorganic compositions of deer antler, the highest degree of correlation with the content of IgA, IgM, and IgG was found to be protein (r = 0.999), uracil (r = 0.987), and inosine (r = 0.999), respectively. The proteins (r = 0.997) appear to exert a significant influence on the anti-fatigue effect, while polysaccharides (r = 0.865) demonstrate the least relevance. These outcomes indicated that the wax slice yielded optimal results among the tested parts and demonstrated the highest efficacy.

Background The management of small gastric submucosal tumors (SMTs) originating from the muscularis propria layer (SMT-MPs) remains a subject of debate. Endoscopic submucosal dissection (ESD) is currently considered the optimal treatment for resection. However, high expenses, complex procedures, and the risk of complications have limited its application. Our previously proposed novel operation, precutting endoscopic band ligation (precutting EBL), has been demonstrated in a long-term, single-arm study to be an effective and safe technique for removing small gastric SMTs. However, the absence of a pathological examination and the potential for delayed perforation have raised concerns. Thus, we modified the precutting EBL by adding endoscopic resection to the snare after ligation and closure, yielding the precutting endoscopic band ligation-assisted resection (precutting EBLR). Moreover, the initial pilot study confirmed the safety and efficacy of the proposed approach and we planned a randomized controlled trial (RCT) to further validate its clinical feasibility. Methods This was a prospective, single-center, open-label, parallel group, and randomized controlled trial. Approximately 40 patients with SMT-MPs will be included in this trial. The patients included were allocated to two groups: ESD and precutting EBLR. The basic clinical data of the patients were collected in detail. To better quantify the difference between ESD and precutting EBLR, the primary outcome was set as the operation duration. The secondary outcomes included total operation cost and hospitalization, intraoperative adverse events, and postoperative recurrence. The primary outcome was tested for superiority, while the secondary outcomes were tested for noninferiority. SPSS is commonly used for statistical analysis. Discussion This study was designed to validate the feasibility of a novel operation for removing gastric SMT-MPs. To intuitively assess this phenomenon, the operation durations of precutting EBLR and ESD were compared, and other outcomes were also recorded comprehensively. Trial registration Chinese Clinical Trial Registry ChiCTR2200065473 . Registered on November 5, 2022.

Background Lactobacillus reuteri DSM 17,938 exhibits antidepressant and anxiolytic potential. The purpose of this study is to validate the effects of L. reuteri DSM 17,938 and preliminarily explore its underlying antidepressant and anxiolytic mechanisms, thereby providing a general direction for researching the targets of its antidepressant and anxiolytic effects. Methods The depressive mouse model induced by lipopolysaccharide (LPS) was intervened with L. reuteri DSM 17,938 (5 × 10 9 cfu/ml), and behavioral experiments were conducted to evaluate the therapeutic effects of the probiotic on depression. Moreover, the antidepressant and anxiolytic mechanism of probiotics was investigated through fecal metagenomics and fecal non-targeted metabolomics, as well as non-targeted metabolomics of the hippocampus and prefrontal cortex. Results In the behavioral experiments, L. reuteri DSM 17,938 significantly reversed the phenomena of reduced total moving distance, decreased center zone stay time and increased peripheral zone stay time in the open field test of LPS-induced depressed mice, and significantly reduced the immobility time of mice in the forced swimming test. L. reuteri DSM 17,938 restored gut microbial richness and ameliorated intestinal metabolic pathways in a depression mouse model, with lipopolysaccharide biosynthesis and ATP-binding cassette transporter (ABC) transporter metabolic pathways being significantly enriched. Untargeted metabolomics of the hippocampus and prefrontal cortex revealed that LPS intervention primarily induced dysregulation of amino acid metabolism-related pathways in these brain regions. In contrast, L. reuteri DSM 17,938 administration restored neural homeostasis, as evidenced by KEGG functional enrichment analysis identifying activated amino acid metabolism and unsaturated fatty acid metabolism pathways. Conclusion These findings collectively suggest that L. reuteri DSM 17,938 exerts antidepressant and anxiolytic effects by modulating gut microbiota composition to improve intestinal metabolism and subsequently rectifying amino acid and unsaturated fatty acid metabolic pathways in the hippocampus and prefrontal cortex. This study elucidate the gut-brain axis mechanisms underlying its antidepressant and anxiolytic effect and highlight its potential as a novel probiotic-based strategy for mood disorders.

Allergic contact dermatitis (ACD), a prevalent inflammatory skin disease, is elicited upon repeated skin contact with protein-reactive chemicals through a complex and poorly characterized cellular network between immune cells and skin resident cells. Here, single-cell transcriptomic analysis of the murine hapten-elicited model of ACD reveals that upon elicitation of ACD, infiltrated CD4 + or CD8 + lymphocytes were primarily the IFNγ-producing type 1 central memory phenotype. In contrast, type 2 cytokines (IL4 and IL13) were dominantly expressed by basophils, IL17A was primarily expressed by δγ T cells, and IL1β was identified as the primary cytokine expressed by activated neutrophils/monocytes and macrophages. Furthermore, analysis of skin resident cells identified a sub-cluster of dermal fibroblasts with preadipocyte signature as a prominent target for IFNγ + lymphocytes and dermal source for key T cell chemokines CXCL9/10. IFNγ treatment shifted dermal fibroblasts from collagen-producing to CXCL9/10-producing, which promoted T cell polarization toward the type-1 phenotype through a CXCR3-dependent mechanism. Furthermore, targeted deletion of Ifngr1 in dermal fibroblasts in mice reduced Cxcl9/10 expression, dermal infiltration of CD8 + T cell, and alleviated ACD inflammation in mice. Finally, we showed that IFNγ + CD8 + T cells and CXCL10-producing dermal fibroblasts co-enriched in the dermis of human ACD skin. Together, our results define the cell type-specific immune responses in ACD, and recognize an indispensable role of dermal fibroblasts in shaping the development of type-1 skin inflammation through the IFNGR-CXCR3 signaling circuit during ACD pathogenesis.