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Abstract The role of circadian rhythm genes (CRGs) in gastric cancer (GC) is poorly understood. This study aimed to develop a CRG signature to improve understanding of prognosis and immunotherapy responses in GC patients. We integrated the The Cancer Genome Atlas-Stomach adenocarcinoma (TCGA-STAD) dataset with CRGs to develop a prognostic signature for GC. The signature’s predictive ability was validated using Kaplan-Meier and ROC curves. The CIBERSORT algorithm evaluated immune cell proportions, and tumor immune dysfunction and exclusion score, as well as immune phenotype score, determined the response to immunotherapy for STAD patients. Finally, we assessed signature genes expression using real-time quantitative polymerase chain reaction. We developed a 4-CRG signature for STAD, demonstrating accurate prognostic ability. The low-risk group showed increased B cell memory and CD8 + T cells, and decreased M2 Macrophages compared to the high-risk group. Patients in the low-risk group had a higher likelihood of benefiting from immunotherapy. Additionally, gastric cancer tissues exhibited elevated expression of OPN3 and decreased expression of TP53 compared to adjacent tissue. This study successfully established a prognostic signature for CRGs, accurately predicting prognosis and immunotherapeutic response among STAD patients, providing insights for the development of personalized therapeutic strategies for these patients.

Abstract Exploring efficient and easily implementable prenatal screening strategies aims at birth defect prevention and control. However, there have been limited economic evaluations of non-invasive prenatal screening (NIPS) strategies in China. Furthermore, these studies were predominantly confined to local or geographically proximate provinces and lacked universality and representativeness. This study assesses the health economics of current prenatal screening strategies and NIPS as first-line screening programs, analyzing their efficacy to determine an optimal strategy. From the perspective of health economics, cost-effectiveness, cost-benefit, and single-factor sensitivity were conducted for five different screening strategies using a decision tree model. Among pregnant women aged

Abstract In the study of obesity and diabetes, mice are widely used for experimental research, and fasting is a common procedure used to reset metabolism in mouse models. The fasting duration for experimental mice varies greatly in nutritional and metabolic studies, ranging from 2 to 48 h. This study aims to assess the optimal fasting duration for mice fed low- and high-fat diets over a short period of time. C57BL/6J mice were fed a low-fat diet (LFD) or high-fat diet (HFD) and fasted for 4, 6, 8, 10, 12, or 24 h. The effects of different conditions after fasting on the metabolic level of mice were explored, and the data were collected for analysis. Our data indicate that fasting has inconsistent effects on mice fed a low-fat or high-fat diet. To compare the metabolic differences between mice in different dietary levels and thereby secure better scientific data, mice should fast for 6 h in animal experiments. Fasting for 6 h is also recommended when comparing glucose tolerance with insulin tolerance.

Abstract Background The transposons of the hAT superfamily are the most widespread transposons ever known. SLEEPER genes encode domesticated transposases from the hAT superfamily, which may have lost their transposable functions during long-term evolution and transformed into host proteins that regulate plant growth and development. Results This study identified 162 members of the SLEEPER gene family from Brassica napus. These members are widely distributed on 19 chromosomes, mainly in the Cn subgenome, and have promoters with various cis-acting elements related to hormone regulation, abiotic stress, and growth and development regulation. Most of the genes in this family contain similar conserved domains and motifs, and the closer the genes are distributed on evolutionary branches, the more similar their structures are. Transcriptome sequencing performed on tissues at different growth stages from B. napus line 3529 indicated that these genes had different expression patterns, and nearly half of the genes were not detectably expressed in all samples. Conclusions This study investigated the gene structure, expression patterns, evolutionary features, and gene localization of the SLEEPER family members to confirm the significance of these genes in the growth of B. napus, providing a reference for the study of transposon domestication and outstanding genetic resources for the genetic improvement of B. napus.

Abstract Currently, there is still debate over the effectiveness of transcranial direct current stimulation (tDCS) in treating obsessive-compulsive disorder (OCD), posttraumatic stress disorder (PTSD) and anxiety disorders (ADs). To investigate the immediate and long-term effectiveness of tDCS in these diseases, we conducted a systematic review and quantitative analysis of existing literature on the treatment of OCD, PTSD, and ADs with tDCS. Following the PRISMA guidelines, we searched seven electronic databases and systematically retrieved articles published from May 2012 to June 2024 that compared the effects of active tDCS with sham stimulation in the treatment of these disorders. We included primary outcome measures such as the change scores in disorder-specific and general anxiety symptoms before and after treatment, as well as secondary outcomes such as changes in disorder-specific and general anxiety symptoms at follow-up. We also assessed the impact of tDCS on depressive symptoms. Fifteen papers met the eligibility criteria. Overall, the results of meta-analysis indicated that tDCS had a high effect in improving specific symptoms (SMD = −0.73, 95% CI: −1.09 to −0.37) and general anxiety symptoms (SMD = −0.75; 95% CI: −1.23 to −0.26) in OCD, PTSD and ADs, with effects lasting up to 1 month and showing a moderate effect size. Furthermore, tDCS demonstrated immediate and significant alleviation of depressive symptoms in these diseases. This study concludes that tDCS can serve as a non-invasive brain stimulation technology for treating these disorders, and the therapeutic effects can be maintained for a period of time.

Abstract Background The gut-lung axis, pivotal for respiratory health, is inadequately explored in pulmonary and critical care medicine (PCCM) inpatients. Methods Examining PCCM inpatients from three medical university-affiliated hospitals, we conducted 16S ribosomal RNA sequencing on stool samples (inpatients, n = 374; healthy controls, n = 105). We conducted statistical analyses to examine the gut microbiota composition in PCCM inpatients, comparing it to that of healthy controls. Additionally, we explored the associations between gut microbiota composition and various clinical factors, including age, white blood cell count, neutrophil count, platelet count, albumin level, hemoglobin level, length of hospital stay, and medical costs. Results PCCM inpatients exhibited lower gut microbiota diversity than healthy controls. Principal Coordinates Analysis revealed marked overall microbiota structure differences. Four enterotypes, including the exclusive Enterococcaceae enterotype in inpatients, were identified. Although no distinctions were found at the phylum level, 15 bacterial families exhibited varying abundances. Specifically, the inpatient population from PCCM showed a significantly higher abundance of Enterococcaceae, Lactobacillaceae, Erysipelatoclostridiaceae, Clostridiaceae, and Tannerellaceae. Using random forest analyses, we calculated the areas under the receiver operating characteristic curves (AUCs) to be 0.75 (95% CIs 0.69–0.80) for distinguishing healthy individuals from inpatients. The four most abundant genera retained in the classifier were Blautia, Subdoligranulum, Enterococcus, and Klebsiella. Conclusions Evidence of gut microbiota dysbiosis in PCCM inpatients underscores the gut-lung axis's significance, promising further avenues in respiratory health research.

AIM: To compare the short-term effectiveness of intelligent navigated laser photocoagulation and 577-nm subthreshold micropulse laser (SML) treatment in patients with chronic central serous chorioretinopathy (cCSC). METHODS: This observational retrospective cohort study included 60 consecutive patients who underwent intelligent navigated laser photocoagulation (n=30) or 577-nm SML treatment (n=30) for cCSC between Jan. 2021 and Oct. 2022. During 3mo follow-up, all patients underwent assessments of best correct visual acuity (BCVA) and optical coherence tomography (OCT). RESULTS: The operation of laser treatment was successful in all cases. At 1mo, BCVA improved significantly more in the intelligent navigated laser photocoagulation group compared to the SML group (P0.05). Central macular thickness (CMT) in the intelligent navigated laser photocoagulation group was lower than in the SML group at 1mo (P0.05). CONCLUSION: Intelligent navigated laser photocoagulation is superior to SML for treating cCSC, leading to better improvements in vision and CMT for short term.

Abstract Campanumoea javanica Bl. (CJ) traditionally used in Southwestern China, is now widely consumed as a health food across the nation. Due to its similar efficacy to Codonopsis Radix (CR) and their shared botanical family, CJ is often used as a substitute for CR. According to the Chinese Pharmacopoeia, Codonopsis pilosula var. modesta (Nannf.) L.T. Shen (CPM), Codonopsis pilosula (Franch.) Nannf. (CP), and Codonopsis tangshen Oliv. (CT) are the primary sources of CR. However, details on the differences in composition, effectiveness, and compositional between CJ and CR are still limited. Besides, there is little evidence to support the application of CJ as a drug. In this study, we employed widely targeted metabolomics, network pharmacology analysis, and molecular docking to explore the disparities in metabolite profiles between CJ and CR and to predict the pharmacological mechanisms of the dominant differential metabolites of CJ and their potential medicinal applications. The widely targeted metabolomics results indicated that 1,076, 1,102, 1,102, and 1,093 compounds, most phenolic acids, lipids, amino acids, and flavonoids, were characterized in CJ, CPM, CP, and CT, respectively. There were an average of 1061 shared compounds in CJ and CRs, with 95.07% similarity in metabolic profiles. Most of the metabolites in CJ were previously unreported. Twelve of the seventeen dominant metabolites found in CJ were directly associated with treating cancer and lactation, similar to the traditional medicinal efficacy. The molecular docking results showed that the dominant metabolites of CJ had good docking activity with the core targets PIK3R1, PIK3CA, ESR1, HSP90AA1, EGFR, and AKT1. This study provides a scientific basis for understanding the similarities and differences between CJ and CR at the metabolome level, offering a theoretical foundation for developing innovative medications from CJ. Additionally, it significantly enhances the metabolite databases for both CJ and CR.

Co-based superalloys have attracted attention to replace Ni-based superalloys in high temperature structural applications because of their higher melting temperature and corrosion resistance. Strengthening is provided by Co3(Al, X) (X = W, Cr, Mo, Ni) phases and optimization of their properties requires detailed information about the free energies of the different phases and of the phase diagram of the Co–Al system. This is achieved in this paper through first principles calculations in combination with statistical mechanics. Configurational entropic contributions to the free energy were included through Monte Carlo simulations using the cluster expansion formalism. The vibrational entropy of each phase was determined through the length-stiffness relationship while the magnetic entropy was also included through the Heisenberg Hamiltonian. The computed phase diagram is compared with the currently accepted experimental phase diagram and the different contributions to the stability of each phase are analyzed independently. The potential of this strategy to predict phase diagrams of magnetic systems is clearly established.

Abstract Matching abbreviated names with their full names (full-abbr matching) plays a key role in data integration, address matching, information retrieval, and other fields. Traditional full-abbr matching technology often encounters issues related to near homophones and near homoglyphs. First, a near-homophone full-abbr matching model based on Simbert and VGG was first proposed, which integrates character and speech features, leveraging a speech recognition model and combining a brain-like cognitive learning dual-process mechanism which involves linguistic knowledge and neural network together. Second, to address the problem of near-homoglyph full-abbr matching in Chinese, a DenseNet-based model that fuses glyph structure and image features was proposed, in which statistical feature extractors are employed to extract feature vectors for glyphic features including stroke, Wubi and structural features separately. Lastly, the near-homophone model and the near-homoglyph model are coupled to work together in the full-abbr matching task, in which expert knowledge is used as a component of the feature optimizer. Experimental results showed that the integrated model significantly increased the matching accuracy to 87.5%, demonstrating a 12.3% improvement.

Abstract Background Many healthcare professionals are experiencing psychological distress. Electronic mental health (e-mental health) interventions are convenient and multifunctional. This review aimed to examine the effectiveness of e-mental health interventions in enhancing the well-being of healthcare professionals and to identify moderating factors. Methods A comprehensive and systematic retrieval of randomized controlled trial (RCT) studies was conducted across eight databases. Population, intervention, comparison, and outcome (PICO) were used to define eligibility criteria. Stress, anxiety, and depression were included as the main outcomes. The overall effect was calculated based on the random effect model, and the effect size was presented using the standardized mean difference. The characteristics of the research design, intervention object, and intervention design were further selected as potential moderating factors for subgroup analysis. Meta-regression analyses were finally performed, incorporating intervention duration and sample size as independent variables. Results A total of 20 studies were included in the systematic review, and 17 were included in the meta-analysis. A large effect on relieving stress and anxiety and a small-to-medium effect on reducing depression were observed. Subgroup analyses showed that features including mindfulness approaches, online courses, computer use, group interventions, and professional guidance were more favorable in the design of services. Meta-regression revealed that intervention duration only affected anxiety symptoms. Caution should be exercised, as some subgroups had fewer studies and higher heterogeneity. For the secondary outcomes, a large effect on emotional exhaustion and a small-to-medium effect on well-being were observed. Conclusion In general, e-mental health interventions significantly improve the psychological health of healthcare staff. Future high-quality, large-scale studies targeting healthcare professionals and specific intervention scenarios are warranted.

Abstract The response of soil microorganisms and plants in soil ecosystems to biochar is well recognised. However, biochars’ impact on large soil animal, such as ants, is inadequately understood, with only limited studies focusing on the abundance and mortality rates of some specific ant species. In this study, soil physicochemical properties, and ant community diversity and functional characteristics were compared between experimental plots with and without biochar application. No significant differences in soil (soil physicochemical properties) or ants (ant community richness, species abundance, and morphological characteristics) were observed between the two plots before biochar application. However, the biochar-treated plot soil surface temperatures, pH, and soil water content were significantly higher after 48 weeks. Biochar application promoted Cardiocondyla nuda (by 426%) and Formica japonica abundance (by 93%), but decreased Solenopsis invicta invasive ant species richness (by 54%), consistent with the fact that changes in soil properties were more beneficial to the former two species. In addition, in biochar-treated plots, F. japonica and S. invicta generally showed larger body size (18% and 6.7%), larger eyes (2.7% and 4.0%), and longer femurs (6.3% and 7.9%), which enabled them to respond better to potential barriers, such as plants. Our results highlighted that, besides species abundance and community structure, certain ant functional morphological indicators were also informative in evaluating biochar ecological implications. Graphical abstract

Abstract Heritage buildings represent history and act as vessels of human civilisation. The significance of these architectural phenomena increases as society increases, which renders their preservation and ethical use increasingly crucial. Hence, preserving heritage buildings is necessary for societal benefit. The accuracy of three-dimensional (3D) point cloud models of heritage buildings is important to their digital conservation. Traditional mapping methods typically require more time and human resources. Furthermore, the outcome is subject to measurement omissions, errors, and other issues, which are contrary to the protection of the object measured. The complex elements of ancient Chinese architecture render it challenging for traditional measuring techniques to accurately capture spatial structural information. The 3D laser scanning technology is a novel technology to obtain 3D data rapidly. In this paper, the Great Achievement Palace of the Confucian Temple in Yuci District, Jinzhong City, Shanxi Province, was used as an example to examine the application of 3D laser scanning technology to acquire point cloud models of heritage buildings. Field data collection for architectural heritage using 3D laser scanning technology requires measuring station setting analysis to ensure effect accuracy while considering the elements of target location and quantity. For the 3D point cloud model of the Great Achievement Palace, error analysis and accuracy assessment were conducted on the quality elements of alignment accuracy between scanning stations, point cloud model reliability, point cloud data noise condition, and whether the point cloud data were stratified. The findings demonstrated that the improved method quickly and accurately acquired 3D point cloud model data and obtained realistic spatial data models of the heritage building.

Abstract Background Early-onset schizophrenia (EOS) is a type of schizophrenia (SCZ) with an age of onset of 0.7. Conclusion Our results indicate that immune system function is altered in SCZ. In addition, CCL8, PSMD1, AVPR1B and SEMG1 may regulate peripheral immune cells in EOS. Further, immune characteristic genes and cells are expected to be diagnostic markers and therapeutic targets of SCZ.

BackgroundImmune checkpoint inhibitors (ICIs) are an emerging tumor treatment pathway after traditional surgery, chemoradiotherapy, and targeted therapy. They have proven to be effective in a variety of cancers, but may not respond to non-target populations. Inflammatory markers such as neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), derived neutrophil lymphocyte ratio (dNLR), and neutrophil count (ANC) have been shown to be strongly associated with tumor prognosis, but their prognostic significance remains controversial. We therefore performed a meta-analysis to explore the association between NLR, PLR, LMR, dNLR, ANC and prognostic and clinicopathological factors in melanoma patients treated with ICIs.MethodsA comprehensive search was conducted in Pubmed, Embase, Web Of Science and Cochrane databases, and the last search time was July 2024. To estimate the prognostic value of NLR, PLR, LMR, dNLR, ANC for PFS and OS, hazard ratio (HR) and corresponding 95% confidence interval (CI) estimates were used.ResultsThis meta-analysis ultimately included 22 cohort studies involving 3235 melanoma patients. Meta-analysis results showed that high levels of NLR in melanoma patients receiving ICIs were associated with poorer OS and PFS, Merging the HR respectively OS [HR = 2.21, 95% CI (1.62, 3.02), P < 0.001], PFS [HR = 1.80, 95% CI (1.40, 2.30), P < 0.001]; High levels of PLR were associated with poor OS and PFS, and the combined HR was OS[HR=2.15,95%CI(1.66,2.80),P < 0.001] and PFS[HR=1.67,95%CI(1.31,2.12),P < 0.001]. High levels of dNLR were associated with poor OS and PFS, with combined HR being OS[HR=2.34,95%CI(1.96,2.79),P < 0.001] and PFS[HR=2.05,95%CI(1.73,2.42),P < 0.001], respectively. High ANC was associated with poor OS and PFS, and combined HR was OS[HR=1.95,95%CI(1.16,3.27),P < 0.001] and PFS[HR=1.63,95%CI(1.04,2.54),P=0.032], respectively. Increased LMR was associated with prolonged OS and PFS, with combined HR being OS[HR=0.36, 95%CI(0.19,0.70),P < 0.001] and PFS[HR=0.56,95%CI(0.40,0.79),P=0.034], respectively.ConclusionIn melanoma patients treated with ICIs, elevated levels of NLR, PLR, dNLR, and ANC were associated with poorer overall survival OS and PFS. Conversely, a high LMR correlated with improved OS and PFS. Subgroup analyses indicated that dNLR may be linked to a worse prognosis in melanoma patients. In summary, inflammatory markers such as NLR, PLR, LMR, dNLR, and ANC serve as effective biomarkers for the prognostic assessment of melanoma patients following ICI treatment. These markers provide valuable insights for treatment decision-making in the realm of melanoma immunotherapy, and we anticipate further high-quality prospective studies to validate our findings in the future.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier CRD42024573406.

BackgroundAlthough online health communities are acknowledged for their role in bridging the supply-demand gap in mental health services, the client decision-making process in these environments remains underexplored. ObjectiveThis study aimed to explore the impact of different signals presented on psychological counselors’ home pages on clients’ choices. MethodsAdopting signaling theory as the framework, this study classified information into online and offline signals and developed a theoretical model to examine client choice behaviors. We collected data from 487 psychological counselors in a leading Chinese online mental health community during March, June, September, and December 2023. Based on these data, we constructed a 4-period balanced panel dataset. A fixed effects model was used to analyze which signals influence clients’ choices of psychological counselors. ResultsRegarding online signals, the service price (β=0.186, P

Background: Nicorandil and verapamil can improve coronary blood flow and coronary microcirculation during percutaneous coronary intervention. However, the effects of intracoronary (IC) administration of nicorandil and verapamil on hemodynamics remain unclear. Aims: To clarify the safety and effects of IC administration of nicorandil and verapamil on blood pressure (BP) and heart rate (HR) to provide evidence-based basis for clinical intervention. Methods: The study cohort included 70 patients with coronary artery stenosis recruited from Zhejiang Provincial Hospital of Traditional Chinese Medicine. The patients were randomly assigned to the intervention group (IC administration of 2 mg/2 ml of nicorandil and 200 μg/2 ml of verapamil) or the control group (IC administration of 2 ml of saline). BP and HR were compared before medication, after medication, and when stabilized. Results: IC administration of verapamil at 200 μg significantly reduced systolic BP as compared to the control group (113.72 ± 3.40 vs. 123.63 ± 3.33 mmHg, respectively, p

Background: Improving the quality of care relies on understanding patients' perceptions and expectations based on their experiences. The study aimed to determine the gaps between patients’ perceived value and expected value, and to identify critical areas for outpatient service improvement. Method: This cross-sectional study was conducted in China from November 2020 to February 2021. A sample of 572 outpatients, randomly selected from a comprehensive tertiary public hospital, was surveyed using a validated patient perceived value questionnaire. Importance-performance analysis was used to evaluate the differences between patients' perceived and expected value. Results: The scores of patients’ expected value for outpatient services were significantly higher than their perceived value in all 29 items and 8 dimensions. The items with the highest and lowest gaps were “short waiting time” (−1.52) and “hospital reputation and popularity” (−0.24) respectively, and the dimensions of price and efficiency (functional value) were located in the quadrant of high expectation and low perception. Conclusion: Our findings are useful for hospital administrators and policymakers to identify strategic focus areas and allocate resources rationally and effectively. We suggest healthcare providers should take measures to narrow the gaps, especially in terms of service efficiency and price.

Tetrodotoxin (TTX), which is found in various marine organisms, including pufferfish, shellfish, shrimp, crab, marine gastropods, and gobies, is an effective marine toxin and the cause of many seafood poisoning incidents. Owing to its toxicity and threat to public health, the development of simple, rapid, and efficient analytical methods to detect TTX in various food matrices has garnered increasing interest worldwide. Herein, we reviewed the structure and properties, origin and sources, toxicity and poisoning, and relevant legislative measures of TTX. Additionally, we have mainly reviewed the state-of-the-art progress of analytical methods for TTX detection in the past five years, such as bioassays, immunoassays, instrumental analysis, and biosensors, and summarized their advantages and limitations. Furthermore, this review provides an in-depth discussion of the most advanced biosensors, including cell-based biosensors, immunosensors, and aptasensors. Overall, this study provides useful insights into the future development and wide application of biosensors for TTX detection.

Objective To investigate the cerebroprotective effects of leptin in vitro and in vivo via the Janus kinase-2 (JAK2)/transcription factor signal transducer and activators of transcription-3 (STAT3) pathway and leptin receptors (LEPR). Methods The study used the cellular oxygen-glucose deprivation (OGD) model in PC12 cells and the middle cerebral artery occlusion (MCAO) rat model of cerebral ischaemia–reperfusion injury (CIRI) to assess changes in gene expression and protein levels following leptin pretreatment. The methylated DNA immunoprecipitation (MeDIP) assay measured DNA methylation levels. Results The optimal leptin concentration for exerting neuroprotective effects against ischaemia–reperfusion injury in PC12 cells was 200 ng/ml in vitro , but excessive leptin diminished this effect. Leptin pretreatment in the MCAO rat model demonstrated a similar effect to previously reported leptin administration post-CIRI. In addition to regulating the expression of inflammation-related cytokines, Western blot analysis showed that leptin pretreatment upregulated BCL-2 and downregulated caspase 3 levels. The MeDIP analysis demonstrated that DNA methylation regulated LEPR gene expression in the MCAO rat model when leptin pretreatment was used. Conclusion Exogenous leptin might bind to extra-activated LEPR by reducing the methylation level of the LEPR gene promoter region, which leads to an increase in phosphorylated JAK2/STAT3 and apoptotic signalling pathways.

Sjögren's syndrome (SS) is an autoimmune disease in which the salivary glands (SGs) and the lacrimal glands (LGs) are affected by lymphocytic infiltration and inflammation. It has been reported that interferon-α (IFN-α) released by plasmacytoid dendritic cells (pDCs) contribute to the pathology of SS, and ART has been shown to effectively ameliorates SS. Despite the current research endeavors, the mechanism of how ART works in the treatment of SS remains to be fully elucidated. Whether ART can treat SS by inhibiting IFN-α remains unclear. This hypothesis was tested both in vivo and in vitro settings during the study. The SS model mice, which were treated with ART, showed amelioration in symptoms related to dryness. RNA-seq analysis revealed strong anti-IFN-α signaling response upon ART treatment. Additional in vitro studies provided further confirmation that the application of ART inhibits the MyD88 protein expression and the nuclear translocation of IRF7. This suggests that the intervention of ART in the TLR-MyD88-IRF7 pathway plays a role in the therapeutic approach for SS. In summary, this study highlighted the therapeutic potential of ART in SS and ART inhibited the IFN-α signaling in pDCs via the TLR-MyD88-IRF7 pathway.

ObjectiveTo compare the disease burden of mental disorders and its changes among children and adolescents in China between 1990 and 2019 to establish strategies for the prevention and control of mental illnesses. MethodsThe data on mental disorders in children and adolescents (0 – 19 years) were collected from the Global Burden of Disease 2019 (GBD2019) database. The burden of these diseases was assessed using indicators such as the number of cases, standardized prevalence, disability-adjusted life years (DALYs), and standardized DALYs rate. Additionally, the difference in disease burden between 1990 and 2019 was estimated through the rate of change and average annual percentage change (AAPC). ResultsThe prevalence, standardized prevalence, DALYs, and standardized DALYs rates of mental disorders in the Chinese population under the age of 20 years in 2019 were recorded as 20.607 million cases, 8611.08/100 000 population, 2.1029 million person-years, and 688.12/100 000 population respectively. In comparison to the data from 1990, there was a reduction of 34.25% in the prevalence rate, a decrease of 37.25% in DALYs rate, and a decline of 1.76% in standardized DALYs rate (AAPC = – 1.436%, – 1.575%, and – 0.068% respectively). However, the standardized prevalence rate increased by 1.64% (AAPC = 0.052%). During the same period under consideration, the male population exhibited higher rates of both standardized prevalence and standardized DALYs for mental disorders compared to the females. Anxiety disorder remained the most burdensome condition among the population in both years (1990 and 2019), while attention deficit hyperactivity disorder had the highest number of cases reported along with its corresponding standardized prevalence rate. Among all psychological disorders analyzed for their change rates over time between 1990 and 2019, eating disorder showed the fastest increase in its standardized prevalence rate (change rate = + 60.06%, AAPC = + 1.647%), whereas congenital intellectual disorder demonstrated the fastest decrease (– 47.15%, AAPC = – 2.176%). Similarly, eating disorders experienced the greatest rise (+ 59.85%) while congenital mental retardation witnessed significant decline (– 43.01%) when considering changes in their standardized DALY rates over this timeframe (AAPC = + 1.644%; AAPC = – 1.927%). ConclusionThe burden of mental disorders in children and adolescents in China has shown some improvement since 1990, but it still remains relatively high in 2019. Therefore, it is imperative to prioritize intervention, prevention, and control measures based on the various burdens associated with different mental disorders.

Abstract The stink bug Arma custos (Hemiptera: Pentatomidae) is a predatory enemy successfully used for biocontrol of lepidopteran and coleopteran pests in notorious invasive species. In this study, a high-quality chromosome-scale genome assembly of A. custos was achieved through a combination of Illumina sequencing, PacBio HiFi sequencing, and Hi-C scaffolding techniques. The final assembled genome was 969.02 Mb in size, with 935.94 Mb anchored to seven chromosomes, and a scaffold N50 length of 135.75 Mb. This genome comprised 52.78% repetitive elements. The detected complete BUSCO score was 99.34%, indicating its completeness. A total of 13,708 protein-coding genes were predicted in the genome, and 13219 of them were annotated. This genome provides an invaluable resource for further research on various aspects of predatory bugs, such as biology, genetics, and functional genomics.

Abstract Inflammatory depression is a treatment-resistant subtype of depression. A causal role of the gut microbiota as a source of low-grade inflammation remains unclear. Here, as part of an observational trial, we first analyze the gut microbiota composition in the stool, inflammatory factors and short-chain fatty acids (SCFAs) in plasma, and inflammatory and permeability markers in the intestinal mucosa of patients with inflammatory depression (ChiCTR1900025175). Gut microbiota of patients with inflammatory depression exhibits higher Bacteroides and lower Clostridium, with an increase in SCFA-producing species with abnormal butanoate metabolism. We then perform fecal microbiota transplantation (FMT) and probiotic supplementation in animal experiments to determine the causal role of the gut microbiota in inflammatory depression. After FMT, the gut microbiota of the inflammatory depression group shows increased peripheral and central inflammatory factors and intestinal mucosal permeability in recipient mice with depressive and anxiety-like behaviors. Clostridium butyricum administration normalizes the gut microbiota, decreases inflammatory factors, and displays antidepressant-like effects in a mouse model of inflammatory depression. These findings suggest that inflammatory processes derived from the gut microbiota can be involved in neuroinflammation of inflammatory depression.

Abstract Kuding Tea (Ilex latifolia) is a bitter‐tasting herbal tea that was used for the treatment of symptoms related with diabetes mellitus, hypertension, and hyperlipidemia. However, Kuding Tea is also difficultly accepted by people in daily life because of its poor palatability. In this study, Kuding Tea, green tea (GT) (Camellia sinensis L.), and Luohan (Siraitia grosvenorii) fruits were formulated into a compound Kuding Tea (CKT) to improve the taste and health benefits of this beverage. High‐fat diet‐fed male C57BL/6J mice were used as animal models to explore the effects of CKT (6 or 12 mg/mL, water ad libitum) on body weight, food intake, liver function, blood glucose and lipids, and gene expression. L02 and 3T3‐L1 cells were used to further demonstrate the effects of CKT on fat accumulation and hepatic lipid deposition. Our results suggest that CKT can regulate glucose and lipid metabolism by decreasing body weight, reducing white adipose deposition, improving glucose tolerance, increasing the expression of brown adipose genes, and reducing fat accumulation in the liver, and CKT inhibited fat accumulation better than GT. In addition, a low dose (6 mg/mL) of CKT reduced the abundance of Desulfovibrio bacteria, positively associated with obesity, and increased that of norank_f__Muribaculaceae, Lachnospiraceae_NK4A136_group, and Alloprevotella, which are beneficial to glucose and lipid metabolism. This study suggests that CKT not only has a better palatability but also has potential preventive effects on high‐fat diet‐induced glucose–lipid metabolic diseases.

Abstract Introduction This study aims to document and preserve the traditional medicinal knowledge of the Gelao community in Northern Guizhou, China, providing valuable insights for modern pharmacological research and the development of these traditional remedies. Methods Our methodology encompassed a blend of literature review, community interviews, and participatory observation to delve into the traditional knowledge of animal-derived medicines among the Gelao community. We employed quantitative ethnological and ecological assessment techniques to evaluate the significance of these practices. Informed consent was secured before conducting interviews, with a focus on ascertaining the types of medicines familiar to the informants, including their local names, sources, methods of preparation, application techniques, diseases treated, frequency of use, and safety considerations. Results Our research cataloged 55 varieties of animal-derived medicines utilized by the Gelao people. Out of these, 34 originate from wild animals, mainly encompassing small insects, reptiles, and aquatic species; the remaining 21 are derived from domesticated animals, largely involving their tissues, organs, and various physiological or pathological by-products. These medicines are primarily applied in treating pediatric ailments (13 types), internal disorders (11 types), gynecological issues (3 types), dermatological problems (7 types), ENT conditions (3 types), trauma-related injuries (5 types), joint and bone ailments (5 types), infections (2 types), dental issues (2 types), and urolithiasis (1 type), with three types being used for other miscellaneous conditions. Commonly utilized medicines, such as honey, Blaps beetle, chicken gallstones, and snake-based products, are preferred for their availability, edibility, and safety within the Gelao communities. Conclusion The Gelao community’s traditional medicines represent a rich diversity of animal sources, showcasing extensive expertise and knowledge in their processing and clinical applications. This wealth of traditional knowledge offers novel perspectives for the contemporary pharmacological study and development of these remedies. Additionally, our research plays a crucial role in aiding the preservation and continuation of this invaluable cultural heritage.

Abstract Background Photosynthesis is a fundamental process that underlies the formation of crop yield, wherein light serves as the driving force and carbon dioxide (CO2) as the raw material. These two factors have a direct influence on the progress and efficiency of photosynthesis in crops. Rapeseed is one of the four major oilseed crops worldwide. Plateau rapeseed has now become a research hotspot. However, the lack of high-yielding rapeseed germplasm resources on the plateau and the highly efficient strategy for screening them severely affect the development of rapeseed industry in plateau. Results In the rapeseed experimental fields located on the plateau (Lhasa, Tibet), we measured abundant sunlight, characterized by an average daily photosynthetically active radiation (PAR) of 1413 μmol m−2 s−1. In addition, the atmospheric CO2 concentrations range from 300 to 400 ppm, which is only two-thirds of that in the plain (Chengdu, Sichuan). We found that under different measurement conditions of light intensity and CO2 concentration, different rapeseed genotypes showed significant differences in leaf photosynthetic efficiency during the seedling stage. Moreover, the rapeseed materials with high photosynthetic efficiency under low CO2 concentrations rather than high light intensity, exhibited significant advantages in biomass, yield, and oil content when cultivated on the plateau, indicating that the CO2 is the key environmental factor which limited rapeseed production in plateau. Based on photosynthetic efficiency screening under low CO2 concentrations, six rapeseed varieties SC3, SC10, SC25, SC27, SC29 and SC37, shown significantly higher yields in plateau environment compared to local control variety were obtained. In addition, the adaptability of rapeseed to plateau was found to be related to the activities of key Calvin cycle enzymes and the accumulation of photosynthetic products. Conclusions This study established a screening strategy for plateau high-yielding rapeseed materials, obtained six varieties which were suitable for plateau cultivation, explored the mechanism of rapeseed response to the plateau environment, and thus provides a feasible strategy for plateau-adapted rapeseed breeding.

Abstract Chronic obstructive pulmonary disease (COPD) is a heterogeneous lung disease and a major health burden worldwide. Extracellular vesicles (EVs) are nanosized vesicles which possess a lipid bilayer structure that are secreted by various cells. They contain a variety of bioactive substances, which can regulate various physiological and pathological processes and are closely related to the development of diseases. Recently, EVs have emerged as a novel tool for intercellular crosstalk, which plays an essential role in COPD development. This paper reviews the role of EVs in the development of COPD and their potential clinical value, in order to provide a reference for further research on COPD.

Abstract Background Pathogenic (P) copy number variants (CNVs) may be associated with second-trimester ultrasound soft markers (USMs), and noninvasive prenatal screening (NIPS) can enable interrogate the entire fetal genome to screening of fetal CNVs. This study evaluated the clinical application of NIPS for detecting CNVs among fetuses with USMs in pregnant women not of advanced maternal age (AMA). Results Fetal aneuploidies and CNVs were identified in 6647 pregnant women using the Berry Genomics NIPS algorithm.Those with positive NIPS results underwent amniocentesis for prenatal diagnosis. The NIPS and prenatal diagnosis results were analyzed and compared among different USMs. A total of 96 pregnancies were scored positive for fetal chromosome anomalies, comprising 37 aneuploidies and 59 CNVs. Positive predictive values (PPVs) for trisomy 21, trisomy 18, trisomy 13, and sex chromosome aneuploidies were 66.67%, 80.00%, 0%, and 30.43%, respectively. NIPS sensitivity for aneuploidies was 100%. For CNVs, the PPVs were calculated as 35.59% and false positive rate of 0.57%. There were six P CNVs, two successfully identified by NIPS and four missed, of which three were below the NIPS resolution limit and one false negative. The incidence of aneuploidies was significantly higher in fetuses with absent or hypoplastic nasal bone, while that of P CNVs was significantly higher in fetuses with aberrant right subclavian artery (ARSA), compared with other groups. Conclusions NIPS yielded a moderate PPV for CNVs in non-AMA pregnant women with fetal USM. However, NIPS showed limited ability in identifying P CNVs. Positive NIPS results for CNVs emphasize the need for further prenatal diagnosis. We do not recommend the use of NIPS for CNVs screening in non-AMA pregnant women with fetal USM, especially in fetuses with ARSA.

The Epidermal Patterning Factor/EPF-like (EPF/EPFL) family encodes a specific type of secreted protein in plants and plays an important role in plant growth and development, especially in the process of morphogenesis. To investigate the characteristics of EPF/EPFL gene family members and their regulatory functions in stomatal development of Populus trichocarpa, a total of 15 EPF/EPFL family genes were identified. Then the gene structure, chromosome location, phylogenetic relationship, protein conserved domain and gene expression profile were analyzed. According to phylogenetic analysis, PtEPF/EPFL can be classified into four groups. The gene structure and protein conservation motifs within the EPF family indicate the high conservation of the PtEPF/EPFL sequence. The promoter region of PtEPF/EPFL was found to contain cis-elements in response to stress and plant hormones. In addition, RT-qPCR results indicated that the PtEPF/EPFL have a differentially expressed in different tissues. Under drought stress treatment, a substantial upregulation was observed in the majority of PtEPF/EPFL members, suggesting their potential involvement in drought response. These results provide a theoretical basis for future exploration of the characteristics and functions of more PtEPF/EPFL genes.

IntroductionDespite observational studies suggest hypotheses indicating a potential link, the precise causal connection between sarcopenia and digestive system illnesses has not been clearly defined.MethodsWe first use Linkage Disequilibrium Score Regression (LDSC) testing to determine the genetic correlation of traits associated with sarcopenia and 10 specific gastrointestinal diseases. Subsequently, we performed a set of bidirectional Mendelian Randomization (MR) analyses to gauge the genetic inclination towards sarcopenia-related traits in relation to each gastrointestinal condition, individually, across the FinnGen, UK Biobank, and other extensive collaborative consortia. The analytical outcomes were synthesized using a fixed-effects meta-analytic model. For outcomes indicating substantial causal impacts, mediation MR analyses were executed. Additionally, a battery of sensitivity analyses was conducted to evaluate the study’s strength and dependability.ResultsOur findings established a strong causal link between appendicular lean mass and gastroesophageal reflux disease (OR = 0.8607; 95% CI: 0.8345–0.8877; p

Gastric cancer, the fifth most prevalent cancer worldwide, is often diagnosed in advanced stages with limited treatment options. Examining the tumor microenvironment (TME) and its metabolic reprogramming can provide insights for better diagnosis and treatment. This study investigates the link between TME factors and metabolic activity in gastric cancer using bulk and single-cell RNA-sequencing data. We identified two molecular subtypes in gastric cancer by analyzing the distinct expression patterns of 81 prognostic genes related to the TME and metabolism, which exhibited significant protein-level interactions. The high-risk subtype had increased stromal content, fibroblast and M2 macrophage infiltration, elevated glycosaminoglycans/glycosphingolipids biosynthesis, and fat metabolism, along with advanced clinicopathological features. It also exhibited low mutation rates and microsatellite instability, associating it with the mesenchymal phenotype. In contrast, the low-risk group showed higher tumor content and upregulated protein and sugar metabolism. We identified a 15-gene prognostic signature representing these characteristics, including CPVL, KYNU, CD36, and GPX3, strongly correlated with M2 macrophages, validated through single-cell analysis and an internal cohort. Despite resistance to immunotherapy, the high-risk group showed sensitivity to molecular targeted agents directed at IGF-1R (BMS-754807) and the PI3K-mTOR pathways (AZD8186, AZD8055). We experimentally validated these promising drugs for their inhibitory effects on MKN45 and MKN28 gastric cells. This study unveils the intricate interplay between TME and metabolic pathways in gastric cancer, offering potential for enhanced diagnosis, patient stratification, and personalized treatment. Understanding molecular features in each subtype enriches our comprehension of gastric cancer heterogeneity and potential therapeutic targets.

BackgroundTo reduce the burden of patients’ medical care, the Xuzhou Municipal Government has initiated an exploratory study on the supply model and categorized management of nationally negotiated drugs. This study aims to understand the extent to which Xuzhou’s 2021 reform of the National Drug Price Negotiation (NDPN) policy has had a positive impact on the healthcare costs of individuals with different types of health insurance.MethodsThe Interrupted Time Series Analysis method was adopted, and the changes in average medical expenses per patient, average medical insurance payment cost per patient and actual reimbursement ratio were investigated by using the data of single-drug payments in Xuzhou from October 2020 to October 2022.ResultsFollowing the implementation of the policy, there was a significant decrease in the average medical expenses per patient of national drug negotiation in Xuzhou, with a reduction of 62.42 yuan per month (p

Recent research on traditional Chinese medicine (TCM) saponin pharmacokinetics has revealed transformative breakthroughs and challenges. The multicomponent nature of TCM makes it difficult to select representative indicators for pharmacokinetic studies. The clinical application of saponins is limited by their low bioavailability and short half-life, resulting in fluctuating plasma concentrations. Future directions should focus on novel saponin compounds utilizing colon-specific delivery and osmotic pump systems to enhance oral bioavailability. Optimizing drug combinations, such as ginsenosides with aspirin, shows therapeutic potential. Rigorous clinical validation is essential for practical applications. This review emphasizes a transformative era in saponin research, highlighting the need for clinical validation. TCM saponin pharmacokinetics, guided by traditional principles, are in development, utilizing multidisciplinary approaches for a comprehensive understanding. This research provides a theoretical basis for new clinical drugs and supports rational clinical medication.

As one of the popular and effective supervised classification methods, linear regression is extensively used in image classification. However, the zero-one labeling matrix is too strict to be conducive to linear regression methods for learning labeling information. In addition, the linear regression focuses only on the fit of the input features to the corresponding output labels and ignores the distinctiveness between the samples. To address these two issues, this paper proposes a new method, namely, discriminative regression with latent label learning, for image classification. In contrast to the other methods, the proposed method learns labeling information in the latent label space instead of the input zero-one labeling space, doing so has the advantage that the proposed method can learn the labeling information in the data more flexibly. To guide the transform matrix to learn the discriminative information in the data, a regularization term with the idea of shortening the distance between samples within a class and lengthening the distance between samples between classes is integrated into the objective function of the proposed method. To obtain the solution of the proposed model, an iterative optimization algorithm is developed. Comprehensive experiments show that the classification performance of the proposed method outperforms the current state-of-the-art methods and deep learning methods on public image datasets with small sample sizes.

[INLINE:1] Parkinson's disease is a neurodegenerative disease characterized by motor and gastrointestinal dysfunction. Gastrointestinal dysfunction can precede the onset of motor symptoms by several years. Gut microbiota dysbiosis is involved in the pathogenesis of Parkinson's disease, whether it plays a causal role in motor dysfunction, and the mechanism underlying this potential effect, remain unknown. CCAAT/enhancer binding protein β/asparagine endopeptidase (C/EBPβ/AEP) signaling, activated by bacterial endotoxin, can promote α-synuclein transcription, thereby contributing to Parkinson's disease pathology. In this study, we aimed to investigate the role of the gut microbiota in C/EBPβ/AEP signaling, α-synuclein-related pathology, and motor symptoms using a rotenone-induced mouse model of Parkinson's disease combined with antibiotic-induced microbiome depletion and fecal microbiota transplantation. We found that rotenone administration resulted in gut microbiota dysbiosis and perturbation of the intestinal barrier, as well as activation of the C/EBP/AEP pathway, α-synuclein aggregation, and tyrosine hydroxylase-positive neuron loss in the substantia nigra in mice with motor deficits. However, treatment with rotenone did not have any of these adverse effects in mice whose gut microbiota was depleted by pretreatment with antibiotics. Importantly, we found that transplanting gut microbiota derived from mice treated with rotenone induced motor deficits, intestinal inflammation, and endotoxemia. Transplantation of fecal microbiota from healthy control mice alleviated rotenone-induced motor deficits, intestinal inflammation, endotoxemia, and intestinal barrier impairment. These results highlight the vital role that gut microbiota dysbiosis plays in inducing motor deficits, C/EBPβ/AEP signaling activation, and α-synuclein-related pathology in a rotenone-induced mouse model of Parkinson's disease. Additionally, our findings suggest that supplementing with healthy microbiota may be a safe and effective treatment that could help ameliorate the progression of motor deficits in patients with Parkinson's disease.

AIM: To develop an artificial intelligence (AI) diagnosis model based on deep learning (DL) algorithm to diagnose different types of retinal vein occlusion (RVO) by recognizing color fundus photographs (CFPs). METHODS: Totally 914 CFPs of healthy people and patients with RVO were collected as experimental data sets, and used to train, verify and test the diagnostic model of RVO. All the images were divided into four categories [normal, central retinal vein occlusion (CRVO), branch retinal vein occlusion (BRVO), and macular retinal vein occlusion (MRVO)] by three fundus disease experts. Swin Transformer was used to build the RVO diagnosis model, and different types of RVO diagnosis experiments were conducted. The model's performance was compared to that of the experts. RESULTS: The accuracy of the model in the diagnosis of normal, CRVO, BRVO, and MRVO reached 1.000, 0.978, 0.957, and 0.978; the specificity reached 1.000, 0.986, 0.982, and 0.976; the sensitivity reached 1.000, 0.955, 0.917, and 1.000; the F1-Sore reached 1.000, 0.955 0.943, and 0.887 respectively. In addition, the area under curve of normal, CRVO, BRVO, and MRVO diagnosed by the diagnostic model were 1.000, 0.900, 0.959 and 0.970, respectively. The diagnostic results were highly consistent with those of fundus disease experts, and the diagnostic performance was superior. CONCLUSION: The diagnostic model developed in this study can well diagnose different types of RVO, effectively relieve the work pressure of clinicians, and provide help for the follow-up clinical diagnosis and treatment of RVO patients.

Abstract Background Peripheral blood immunomarkers are associated with prognosis in patients with solid tumors receiving chemotherapy or immunotherapy. In this study, the associations of circulating neutrophil‐to‐lymphocyte ratio (NLR), monocyte‐to‐lymphocyte ratio (MLR), and platelet‐to‐lymphocyte ratio (PLR), as well as their dynamic changes were investigated in relation to the efficacy of immunotherapy in patients with primary liver cancer. Methods Comparisons were made between NLR, MLR, and PLR among individuals exhibiting disease control (defined as the best response of partial response [PR] or stable disease [SD]) and those with progressive disease (PD). Additionally, disease control rate (DCR), overall survival (OS), and progression‐free survival (PFS) were compared between individuals with different NLR, MLR, and PLR levels before initiating palliative immunotherapy. Furthermore, comparisons were made between patients with different alterations in the ratios at the second cycle of immunotherapy compared to baseline. These analyses were performed using univariate and multivariate approaches. A total of 119 Chinese patients with liver cancer who underwent immunotherapy were included in this study, which focused on hepatocellular carcinoma (HCC). Results In cases with HCC (n = 104), the cutoffs of NLR, MLR, and PLR to differentiate treatment responders from nonresponders were 3.38, 0.28, and 227.18, respectively. Patients with the best response of PR or SD had significantly lower NLR and MLR. Patients with NLR

Abstract Background In adults with non-Hodgkin's lymphoma, renal enlargement and acute kidney injury occur infrequently at first presentation, especially in T lymphocytic lymphomas. Case presentation We report three cases of non-Hodgkin’s lymphoma with acute renal injury and bilateral renal enlargement. At diagnosis, one patient presented with an adrenal mass, one patient's lymph node biopsy was consistent with a renal biopsy, and one patient had primary renal lymphoma with no extrarenal disease. Assessment of renal pathology in Case 2 and Case 3 showed interstitial lymphocyte infiltration; the pathological types were non-Hodgkin's diffuse large B lymphoma originating from activated B cells outside germinal centers and non-Hodgkin's T-lymphoblastic lymphoma/leukemia, respectively. Case 1 did not receive anti-lymphoma therapy and died from infection and multiple organ failure within 1 month of hospitalization. Case 2 received eight courses of R-CHOP; her lymphoma recurred 2 years after diagnosis and she died from severe pulmonary infection 3 years after diagnosis. Case 3 received hyper-CVAD regularly and achieved stable renal function; this patient remains under follow-up. Conclusions Renal lymphoma may have diverse manifestations, especially primary renal lymphoma without extrarenal involvement. Nephrologists should pay careful attention to these manifestations to ensure accurate diagnosis.

Abstract Background Liver stiffness (LS) is regarded as an indicator of the stages of liver fibrosis and liver cirrhosis. Numerous studies have investigated the relationship between body mass index (BMI) and LS; however, the conclusions remain controversial. In the current study, we utilized transient elastography (TE) technique, which could measure LS in a non-painful and noninvasive way, to explore the relationship between BMI and the risk of elevated LS in common community residents. Methods 5791 participants were included in the present study. To calculate BMI value, height and weight of the participants were carefully measured. Liver stiffness measurement (LSM) > 9.1 kPa was considered as a cutoff suggesting elevated LS. The relationship of BMI and risk of elevated LS was derived using generalized linear regression models, and the threshold effect was then analyzed by smooth curve fitting and segmented regression model. Results Elevated LS was detected in 230 participants (3.97%) using the TE technique. After potential confounders were adjusted according to the individual’s demographic variables, underlying comorbidities and blood biochemical test results, we observed a J-shaped relationship between BMI and the risk of elevated LS, with the inflection point at 23.05 kg/m2. The effect size (and confidence interval) was 0.84 (0.71, 0.98) on the left side of the inflection point, and 1.32 (1.24, 1.41) on the right side of it. Conclusions Our study found a novel J-shaped relationship between BMI and the risk of elevated LS assessed by TE technique. Abnormal BMI, either higher or lower, was associated with an increased risk of elevated LS.

AbstractContext Sanguinarine (SAG) is the most abundant constituent of Macleaya cordata (Willd.) R. Br. (Popaceae). SAG has shown antimammary and colorectal metastatic effects in mice in vivo, suggesting its potential for cancer chemotherapy.Objective To determine the antimetastatic effect and underlying molecular mechanisms of SAG on melanoma.Materials and methods CCK8 assay was used to determine the inhibition of SAG on the proliferation of A375 and A2058 cells. Network pharmacology analysis was applied to construct a compound-target network and select potential therapeutic targets of SAG against melanoma. Molecular docking simulation was conducted for further analysis of the selected targets. In vitro migration/invasion/western blot assay with 1, 1.5, 2 μM SAG and in vivo effect of 2, 4, 8 mg/kg SAG in xenotransplantation model in nude mice.Results The key targets of SAG treatment for melanoma were mainly enriched in PI3K-AKT pathway, and the binding energy of SAG to PI3K, AKT, and mTOR were −6.33, −6.31, and −6.07 kcal/mol, respectively. SAG treatment inhibited the proliferation, migration, and invasion ability of A375 and A2058 cells (p

Abstract Introduction This study aims to safeguard the ethnobotanical knowledge pertaining to traditional forage plants within the ethnically diverse Gansu–Ningxia–Inner Mongolia junction zone. It seeks to establish a foundation for the sustainable utilization of these traditional resources for animal husbandry. Methods A combination of literature research, village interviews, participatory observation, and ethnobotanical quantitative evaluation methods was employed to investigate and study the traditional knowledge of wild forage plants used by local residents in the study area. Results Local residents provided information on 73 forage plants, which were identified as 116 distinct wild forage plant species. These plants belong to 22 families and play an active role in the lives of the local inhabitants. Notably, the families Poaceae, Fabaceae, and Asteraceae are prominent, comprising the most abundant and widely utilized wild forage plants. Bing Cao (collectively referring to plants of the Agropyron, Leymus, and Psammochloa), Suo Cao (collectively referring to plants of the genus Stipa), and Ku Cai (encompassing Lactuca tatarica (L.) C.A.Mey. and Ixeris polycephala Cass.) emerge as the most representative and vital wild forage plants for animal husbandry. Additionally, plants within the Astragalus (referred to collectively as NiaoZi by local residents) in the Fabaceae family, as well as plants from the Amaranthaceae family, exhibit notable significance. Conclusion Animal husbandry assumes a pivotal role in the local agricultural economy, and the 116 wild forage plants investigated hold substantial importance in its development. Among these, 59 and 103 plant resources display high developmental potential, making them prospective candidates for high-quality cultivated forage grasses. Additionally, extensive grazing practices have resulted in significant ecological degradation within this already fragile ecosystem. The cultivation of forage grasses and the practice of pen-based animal husbandry may emerge as crucial strategies for sustainable development in this area.

Secure distributed matrix multiplication (SDMM) schemes are crucial for distributed learning algorithms where extensive data computation is distributed across multiple servers. Inspired by the application of repairing Reed–Solomon (RS) codes in distributed storage and secret sharing, we propose SDMM schemes with reduced communication overhead through the use of trace polynomials. Specifically, these schemes are designed to address three critical concerns: (i) ensuring information-theoretic privacy against collusion among servers; (ii) providing security against Byzantine servers; and (iii) offering resiliency against stragglers to mitigate computing delays. To the best of our knowledge, security and resiliency are being considered for the first time within trace polynomial-based approaches. Furthermore, our schemes offer the advantage of reduced sub-packetization and a lower server-count requirement, which diminish the computational complexity and download cost for the user.

Landscape character assessment (LCA) is a crucial tool for conserving an area’s unique character. However, in our literature review, we found no data linking LCA to historic coal mining settings. This systematic review explores the ways in which the landscape character assessment (LCA) methodology has been applied, as well as the factors that influence it, in the conservation of historic coal mine landscapes. It focuses on three areas: analyzing the ways in which LCA has been applied in landscape conservation, proposing recommendations for the application of LCA in historic coal mine setting landscapes, and summarizing the factors that influence LCA in landscape conservation in historic coal mine settings. Methods: This study used the Meta-Analyses (PRISMA) method to perform the systematic review. The whole review was selected from 2030 potential articles; a total of 21 articles were included. Results: This study demonstrates that the LCA approach can be operationalized in the conservation of environmental landscapes in historic coal mines by combining cluster analysis and multi-scale assessment and incorporating other theories. The quality of the results can be affected by factors such as the accuracy and completeness of the data and the complexity and tractability of the model. Conclusions: Future research should focus on improving the data capture technology, model complexity, and design of actionable models. Additionally, we recommend the strategies of enhancing stakeholder engagement and raising public awareness.

Chronic cerebral ischemia (CCI) primarily causes cognitive dysfunction and other neurological impairments, yet there remains a lack of ideal therapeutic medications. The preparation combination of Astragalus membranaceus (Fisch.) Bunge and Erigeron breviscapus (Vant.) Hand.-Mazz have been utilized to ameliorate neurological dysfunction following cerebral ischemia, but material basis of its synergy remains unclear. The principal active ingredients and their optimal proportions in this combination have been identified through the oxygen and glucose deprivation (OGD) cell model, including astragaloside A, chlorogenic acid and scutellarin (ACS), and its efficacy in enhancing the survival of OGD PC12 cells surpasses that of the combination preparation. Nevertheless, mechanism of ACS against CCI remains elusive. In this study, 63 potential targets of ACS against CCI injury were obtained by network pharmacology, among which AKT1, CASP3 and TNF are the core targets. Subsequent analysis utilizing KEGG and GO suggested that PI3K/AKT pathway may play a crucial role for ACS in ameliorating CCI injury. Then, a right unilateral common carotid artery occlusion (rUCCAO) mouse model and an OGD PC12 cell model were established to replicate the pathological processes of CCI in vivo and in vitro. These models were utilized to explore the anti-CCI effects of ACS and its regulatory mechanisms, particularly focusing on PI3K/AKT pathway. The results showed that ACS facilitated the restoration of cerebral blood flow in CCI mice, enhanced the function of the central cholinergic nervous system, protected against ischemic nerve cell and mitochondrial damage, and improved cognitive function and other neurological impairments. Additionally, ACS upregulated the expression of p-PI3K, p-AKT, p-GSK3β and Bcl-2, and diminished the expression of Cyto-c, cleaved Caspase-3 and Bax significantly. However, the PI3K inhibitor (LY294002) partially reversed the downregulation of Bax, Cyto-c and cleaved Caspase-3 expression as well as the upregulation of p-AKT/AKT, p-GSK3β/GSK3β, and Bcl-2/Bax ratios. These findings suggest that ACS against neuronal damage in cerebral ischemia may be closely related to the activation of PI3K/AKT pathway. These results declared first time ACS may become an ideal candidate drug against CCI due to its neuroprotective effects, which are mediated by the activated PI3K/AKT pathway mitigates mitochondrial damage and prevents cell apoptosis.

ABSTRACT: Semen volume is an important economic trait of broilers and one of the important indices for continuous breeding. The objective of this study was to identify genes related to semen volume through transcriptome analysis of the testis tissue of white feather broilers. The testis samples with the highest semen volume (H group, n = 5) and lowest semen volume (L group, n = 5) were selected from 400-day-old roosters for transcriptome analysis by RNA sequencing. During the screening of differentially expressed genes (DEGs) between the H and L groups, a total of 386 DEGs were identified, among which 348 were upregulated and 38 were downregulated. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the immune response, leukocyte differentiation, cell adhesion molecules and collagen binding played vital roles in spermatogenesis. The results showed that 4 genes related to spermatogenesis, namely, COL1A1, CD74, ARPC1B and APOA1, were significantly expressed in Group H, which was consistent with the phenotype results. Our findings may provide a basis for further research on the genetic mechanism of semen volume in white feather broilers.

Abstract Asthma control in children is often challenging. This retrospective cohort study aimed to investigate the potential contribution of small airway function in predicting asthma control within a 2‐ to 3‐month period following the initial diagnosis in preschool children with asthma. A total of 219 preschool children diagnosed with asthma were enrolled, and their follow‐up was conducted by pediatric pulmonary physicians. Clinical history and lung function results were collected for analysis. To identify risk factors associated with poor asthma control, a multivariable regression model was employed. Sixty‐nine of the patients (31.5%) exhibited poor asthma control. Poor adherence to therapy (14.5% vs. 6.0%, p = 0.038) and the presence of severe airway hyperresponsiveness (AHR) (20.6% vs. 1.6%, p

Sensorineural hearing loss (SNHL) is a category of hearing loss that often leads to difficulty in understanding speech and other sounds. Auditory system dysfunction, including deafness and auditory trauma, results in cognitive deficits via neuroplasticity. Cognitive impairment (CI) refers to an abnormality in the brain’s higher intellectual processes related to learning, memory, thinking and judgment that can lead to severe learning and memory deficits. Studies have established a strong correlation between SNHL and CI, but it remains unclear how SNHL contributes to CI. The purpose of this article is to describe three hypotheses regarding this relationship, the mainstream cognitive load hypothesis, the co-morbidity hypothesis, and the sensory deprivation hypothesis, as well as the latest research progress related to each hypothesis.

Objectives: To explore the perceptions of pregnant women with urinary incontinence toward pelvic floor muscle training (PFMT). Methods: Semi-structured personal interviews were used to collect data. Pregnant women with urinary incontinence and no contraindications to PFMT were recruited for semi-structured interviews in the Outpatient Department of Obstetrics in a Class A tertiary hospital in Shenzhen from October to November 2021. Purposive sampling was performed, and Braun & Clarke thematic analysis was used for the data analysis. Results: Sixteen pregnant women with urinary incontinence and a mean age of (30.81 ± 3.66) years participated in the interview. “Sitting on the fence” was the predominant theme acquired after analysis. Pregnant women had contradictory attitudes toward PFMT. A total of four themes and nine sub-themes have been extracted: “It is normal and does not really matter” (normalized urinary incontinence, insufficient attention to PFMT); “There is nothing I can do” (insufficient subjective motivations, limitation of objective conditions, lack of social support); “We have to take care of ourselves” (the increasing self-care awareness, emerging autonomous motivation to practice PFMT); “Training should be guaranteed” (requiring the guidance, suggestions, and surveillance of healthcare professionals; requiring the perceptive benefits). Conclusions: This study reveals varying attitudes towards PFMT among pregnant women with urinary incontinence. To better promote pregnant women’s engagement in PFMT, it is necessary to provide professional guidance, increase self-care awareness, improve social support, and emphasize the benefits of PFMT.

A 90-day feeding trial was conducted to assess the effects of black soldier fly larvae meal (BSFLM) as a replacement for soybean meal (SM) on growth performance and flesh quality of grass carp. A total of 420 grass carp (299.93 ± 0.85 g) were randomly divided into 7 groups (triplicate) and fed 7 diets with SM substitution of 0% (SM, control), 15% (BSFLM15), 30% (BSFLM30), 45% (BSFLM45), 60% (BSFLM60), 75% (BSFLM75) and 100% (BSFLM100) by BSFLM. The growth performance of grass carp in the BSFLM75 and BSFLM100 groups were significantly lower compared to other groups (P