Nipah virus (NiV) and related viruses form a distinct henipavirus genus within the Paramyxoviridae family. NiV continues to spillover into the humans causing deadly outbreaks with increasing human-bat interaction. NiV encodes the large protein (L) and phosphoprotein (P) to form the viral RNA polymerase machinery. Their sequences show limited homologies to those of non-henipavirus paramyxoviruses. We report two cryo-electron microscopy (cryo-EM) structures of the Nipah virus (NiV) polymerase L-P complex, expressed and purified in either its full-length or truncated form. The structures resolve the RNA-dependent RNA polymerase (RdRp) and polyribonucleotidyl transferase (PRNTase) domains of the L protein, as well as a tetrameric P protein bundle bound to the L-RdRp domain. L-protein C-terminal regions are unresolved, indicating flexibility. Two PRNTase domain zinc-binding sites, conserved in most Mononegavirales, are confirmed essential for NiV polymerase activity. The structures further reveal anchoring of the P protein bundle and P protein X domain (XD) linkers on L, via an interaction pattern distinct among Paramyxoviridae. These interactions facilitate binding of a P protein XD linker in the nucleotide entry channel and distinct positioning of other XD linkers. We show that the disruption of the L-P interactions reduces NiV polymerase activity. The reported structures should facilitate rational antiviral-drug discovery and provide a guide for the functional study of NiV polymerase.
Nipah Virus/chemistry* ; Cryoelectron Microscopy ; Viral Proteins/genetics* ; RNA-Dependent RNA Polymerase/genetics* ; Phosphoproteins/genetics* ; Humans ; Models, Molecular ; Protein Binding

Objective::To examine the impact of hypertensive disorders of pregnancy (HDP) on offspring metabolomics.Methods::We searched five databases: PubMed, Ovid Embase, MEDLINE, Web of Science, and China National Knowledge Infrastructure, and included studies that reported metabolomics among human offspring born to HDP-complicated pregnancies.Results::Database search yielded 4054 articles, and after full-text screening, ten observational studies met inclusion criteria. Half of the studies had a sample size of less than 100 and were all observational studies in preeclampsia (PE) and gestational hypertension.Neonates were the most focused group in all included studies. Offspring born to HDP-complicated pregnancies exhibited statistically significant variations in blood metabolomics compared to their counterparts, characterized by amino acids, lipids, carnitine, and others (e.g., 1α,25-(OH) 2-D). Most studies reported a significant increase in differential metabolites of offspring born to HDP-complicated pregnancies. Four studies ( n = 1109) measured lipids-related metabolites, and all consistently showed that offspring born to PE-complicated pregnancies had significantly higher concentrations than non-PE exposed offspring. Conclusion::The existing evidence suggests an intergenerational effect of HDP on offspring metabolomics. Long-term follow-up studies are needed to advance the health effects of related adverse health outcomes and inform the prevention of offspring’s health.

ObjectiveTo investigate the anti-inflammatory and antioxidant effects of baicalin for treating chronic obstructive pulmonary disease （COPD） in rats and decipher the molecular mechanisms via the nuclear factor-kappa B （NF-κB）/nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway. MethodsSixty SPF-grade male Sprague-Dawley rats were randomly assigned into six groups： normal control， COPD model， low-dose baicalin， medium-dose baicalin， high-dose baicalin， and budesonide. The normal control group received no treatment， whereas COPD was modeled in other groups with a combined modeling approach involving intratracheal lipopolysaccharide instillation and passive cigarette smoke exposure. The model establishment was evaluated through behavioral observation combined with pathological examination. Hematoxylin-eosin （HE） staining was performed to assess histopathological changes in the lung. Serum levels of inflammatory cytokines ［interleukin （IL）-6， IL-8， IL-17， IL-22， tumor necrosis factor （TNF）-α， and transforming growth factor （TGF）-β）］， reactive oxygen species （ROS）， and vascular endothelial growth factor （VEGF） were quantified by enzyme-linked immunosorbent assay （ELISA）. Meanwhile， the levels of IL-6， IL-17， and IL-22 in the bronchoalveolar lavage fluid （BALF） and IL-10， IL-22， and TNF-α in the lung tissue were measured via ELISA. Immunohistochemistry （IHC） was employed to detect the expression of histone deacetylase 2 （HDAC2） and Nrf2. Western blot was performed to evaluate the expression of phosphoinositide 3-kinase （PI3K）， protein kinase B （Akt）， glucocorticoid receptor （GR）， NF-κB， HDAC2， and Nrf2 in the lung tissue. Additionally， real-time PCR was conducted to assess the mRNA levels of PI3K， Akt， HDAC2， Nrf2， GR， and NF-κB in the lung tissue. ResultsHE staining revealed that the airway mucosal epithelium in the COPD model group appeared extensive shedding， structural disorganization， and diffuse infiltration of inflammatory cells within the lumen. And goblet cells showed compensatory proliferation with pathological hypertrophy of mucus glands. In contrast， inflammatory infiltration and alveolar overdistension were significantly alleviated in the medium- and high-dose baicalin groups. The COPD model group exhibited mucus plug formation within the terminal bronchioles， along with fibrotic narrowing of the bronchial wall. Moreover， the smooth muscle bundles of the bronchial wall were hypertrophic， with concomitant collagen deposition. Progressive dissolution and rupture of alveolar septa were observed， leading to the formation of abnormally enlarged air-filled cavities. However， the bronchial wall structure was largely restored with only mild thickening of the smooth muscle layer in the baicalin groups. Compared with the COPD model group， the medium- and high-dose baicalin groups showed declined ROS and VEGF levels （P<0.05）， and all the baicalin groups presented lowered levels of IL-6， IL-8， IL-17， IL-22， TGF-β， and TNF-α and elevated level of IL-10 （P<0.05）. Baicalin upregulated the protein levels of HDAC2， Nrf2， GR， PI3K， and Akt， while suppressing the protein level of NF-κB （P<0.05）. Furthermore， baicalin increased the mRNA levels of Nrf2 and GR while down-regulating the mRNA level of NF-κB （P<0.05）. ConclusionBaicalin exerts anti-inflammatory and antioxidant effects by inhibiting the pro-inflammatory factor NF-κB while enhancing the expression of the anti-inflammatory factor HDAC2 and activating the antioxidant factor Nrf2， thereby alleviating the lung tissue damage in COPD rats. The therapeutic effects of baicalin may be closely associated with its regulatory role in the NF-κB/Nrf2 signaling pathway.

ObjectiveTo investigate the anti-inflammatory and antioxidant effects of baicalin for treating chronic obstructive pulmonary disease （COPD） in rats and decipher the molecular mechanisms via the nuclear factor-kappa B （NF-κB）/nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway. MethodsSixty SPF-grade male Sprague-Dawley rats were randomly assigned into six groups： normal control， COPD model， low-dose baicalin， medium-dose baicalin， high-dose baicalin， and budesonide. The normal control group received no treatment， whereas COPD was modeled in other groups with a combined modeling approach involving intratracheal lipopolysaccharide instillation and passive cigarette smoke exposure. The model establishment was evaluated through behavioral observation combined with pathological examination. Hematoxylin-eosin （HE） staining was performed to assess histopathological changes in the lung. Serum levels of inflammatory cytokines ［interleukin （IL）-6， IL-8， IL-17， IL-22， tumor necrosis factor （TNF）-α， and transforming growth factor （TGF）-β）］， reactive oxygen species （ROS）， and vascular endothelial growth factor （VEGF） were quantified by enzyme-linked immunosorbent assay （ELISA）. Meanwhile， the levels of IL-6， IL-17， and IL-22 in the bronchoalveolar lavage fluid （BALF） and IL-10， IL-22， and TNF-α in the lung tissue were measured via ELISA. Immunohistochemistry （IHC） was employed to detect the expression of histone deacetylase 2 （HDAC2） and Nrf2. Western blot was performed to evaluate the expression of phosphoinositide 3-kinase （PI3K）， protein kinase B （Akt）， glucocorticoid receptor （GR）， NF-κB， HDAC2， and Nrf2 in the lung tissue. Additionally， real-time PCR was conducted to assess the mRNA levels of PI3K， Akt， HDAC2， Nrf2， GR， and NF-κB in the lung tissue. ResultsHE staining revealed that the airway mucosal epithelium in the COPD model group appeared extensive shedding， structural disorganization， and diffuse infiltration of inflammatory cells within the lumen. And goblet cells showed compensatory proliferation with pathological hypertrophy of mucus glands. In contrast， inflammatory infiltration and alveolar overdistension were significantly alleviated in the medium- and high-dose baicalin groups. The COPD model group exhibited mucus plug formation within the terminal bronchioles， along with fibrotic narrowing of the bronchial wall. Moreover， the smooth muscle bundles of the bronchial wall were hypertrophic， with concomitant collagen deposition. Progressive dissolution and rupture of alveolar septa were observed， leading to the formation of abnormally enlarged air-filled cavities. However， the bronchial wall structure was largely restored with only mild thickening of the smooth muscle layer in the baicalin groups. Compared with the COPD model group， the medium- and high-dose baicalin groups showed declined ROS and VEGF levels （P<0.05）， and all the baicalin groups presented lowered levels of IL-6， IL-8， IL-17， IL-22， TGF-β， and TNF-α and elevated level of IL-10 （P<0.05）. Baicalin upregulated the protein levels of HDAC2， Nrf2， GR， PI3K， and Akt， while suppressing the protein level of NF-κB （P<0.05）. Furthermore， baicalin increased the mRNA levels of Nrf2 and GR while down-regulating the mRNA level of NF-κB （P<0.05）. ConclusionBaicalin exerts anti-inflammatory and antioxidant effects by inhibiting the pro-inflammatory factor NF-κB while enhancing the expression of the anti-inflammatory factor HDAC2 and activating the antioxidant factor Nrf2， thereby alleviating the lung tissue damage in COPD rats. The therapeutic effects of baicalin may be closely associated with its regulatory role in the NF-κB/Nrf2 signaling pathway.

Objective::To examine the impact of hypertensive disorders of pregnancy (HDP) on offspring metabolomics.Methods::We searched five databases: PubMed, Ovid Embase, MEDLINE, Web of Science, and China National Knowledge Infrastructure, and included studies that reported metabolomics among human offspring born to HDP-complicated pregnancies.Results::Database search yielded 4054 articles, and after full-text screening, ten observational studies met inclusion criteria. Half of the studies had a sample size of less than 100 and were all observational studies in preeclampsia (PE) and gestational hypertension.Neonates were the most focused group in all included studies. Offspring born to HDP-complicated pregnancies exhibited statistically significant variations in blood metabolomics compared to their counterparts, characterized by amino acids, lipids, carnitine, and others (e.g., 1α,25-(OH) 2-D). Most studies reported a significant increase in differential metabolites of offspring born to HDP-complicated pregnancies. Four studies ( n = 1109) measured lipids-related metabolites, and all consistently showed that offspring born to PE-complicated pregnancies had significantly higher concentrations than non-PE exposed offspring. Conclusion::The existing evidence suggests an intergenerational effect of HDP on offspring metabolomics. Long-term follow-up studies are needed to advance the health effects of related adverse health outcomes and inform the prevention of offspring’s health.

Objective To develop a predictive model for guiding blood transfusion decisions in pediatric patients with traumatic brain injury(TBI)by identifying and analyzing key factors that influence blood transfusion requirements.Methods A retrospective analysis was conducted on the clinical data of 1,535 pediatric patients with TBI admitted to four medical institutions from January 1,2015,to December 31,2022.Patients were divided into two groups:those who received red blood cell transfusions during hospitalization and those who did not.Comparative analyses were performed on demographic,clinical,and laboratory data between these two groups.Logistic regression analysis was used to identify risk factors associated with in-hospital blood transfusion,and a predictive model was developed using a nomogram.The performance of this model was evaluated using a receiver operating characteristic(ROC)curve.Results Significant differences were observed between the blood transfusion and non-blood transfusion groups in terms of baseline demographics,clinical indicators,and laboratory test results(all P<0.05).Patients in the blood transfusion group exhibited significantly higher in-hospital mortality,compli-cation rates,use of mechanical ventilation,ICU admission rates,and length of stay compared to those in the non-blood transfusion group(all P<0.05).Multivariate logistic regression analysis identified heart rate,presence of other fractures,treatment methods,hemoglobin(Hb),platelet count(Plt),activated partial thromboplastin time(APTT),and D-dimer levels as independent risk factors for blood transfusion in TBI patients.The area under the ROC curve for the blood transfusion prediction model,based on these independent risk factors,was 0.95(95%CI:0.94～0.97),indicating excellent predictive accuracy.Calibration and decision curves further validated the robust-ness and reliability of the model's predictive capacity.Conclusions Heart rate,presence of other fractures,treatment methods,Hb,Plt count,APTT,and D-dimer levels serve as independent risk factors for blood transfusion in TBI patients.The prediction model developed based on these factors demonstrates excellent predictive performance,thereby guiding clinicians in making informed blood transfusion decisions and enhancing the success rate of patient outcomes.

Objective To develop a predictive model for guiding blood transfusion decisions in pediatric patients with traumatic brain injury(TBI)by identifying and analyzing key factors that influence blood transfusion requirements.Methods A retrospective analysis was conducted on the clinical data of 1,535 pediatric patients with TBI admitted to four medical institutions from January 1,2015,to December 31,2022.Patients were divided into two groups:those who received red blood cell transfusions during hospitalization and those who did not.Comparative analyses were performed on demographic,clinical,and laboratory data between these two groups.Logistic regression analysis was used to identify risk factors associated with in-hospital blood transfusion,and a predictive model was developed using a nomogram.The performance of this model was evaluated using a receiver operating characteristic(ROC)curve.Results Significant differences were observed between the blood transfusion and non-blood transfusion groups in terms of baseline demographics,clinical indicators,and laboratory test results(all P<0.05).Patients in the blood transfusion group exhibited significantly higher in-hospital mortality,compli-cation rates,use of mechanical ventilation,ICU admission rates,and length of stay compared to those in the non-blood transfusion group(all P<0.05).Multivariate logistic regression analysis identified heart rate,presence of other fractures,treatment methods,hemoglobin(Hb),platelet count(Plt),activated partial thromboplastin time(APTT),and D-dimer levels as independent risk factors for blood transfusion in TBI patients.The area under the ROC curve for the blood transfusion prediction model,based on these independent risk factors,was 0.95(95%CI:0.94～0.97),indicating excellent predictive accuracy.Calibration and decision curves further validated the robust-ness and reliability of the model's predictive capacity.Conclusions Heart rate,presence of other fractures,treatment methods,Hb,Plt count,APTT,and D-dimer levels serve as independent risk factors for blood transfusion in TBI patients.The prediction model developed based on these factors demonstrates excellent predictive performance,thereby guiding clinicians in making informed blood transfusion decisions and enhancing the success rate of patient outcomes.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

This study investigated the infection status,drug resistance,and molecular characteristics of Shiga toxin-producing Escherichia coli(STEC)in domestic goats in Chengkou county,Chongqing.In August 2023,283 fecal samples were collected from households in Chengkou county.After enrichment with EC broth and inoculation onto selective media,samples that tested positive for stx1/stx2 were selected for further isolation.The positive strains were investigated with antimicrobial susceptibility testing and whole genome sequencing.According to the whole genomic sequences,the stx subtypes,serotypes,multi-locus sequence types,virulence genes,drug resistance genes,and phylogenetic relationships of the STEC strains were analyzed.Forty-six strains of STEC were isolated from 283 goat fecal samples,thus resulting in a detection rate of 16.25%.The 46 STEC strains were categorized into 12 O∶H serotypes,among which O76∶H19 and O8∶H7 predominated,each represented by 9 strains.Five STEC strains were identified as serotype O157∶H7.The 46 STEC strains were categorized into 11 sequence types(STs),among which ST675 and ST196 predominated,each represented by nine strains,accounting for a 19.57%proportion.The strains were categorized into 7 stx subtypes,among which stx1c(26/46,56.52%),followed by stx2k(9/46,19.57%)predominated.All nine Stx2k-STEC strains were identified as serotype O8∶H7 and sequence type ST196.In antimicrobial susceptibility testing,2 STEC strains were resistant to ampicillin,one strain was resistant to ampicillin/sulbactam,one strain was resistant to cefazolin,and one strain was resistant to cefoxitin.Nine Stx2k-STEC strains were found to carry the beta-lactam resistance gene blaEC-18.Antimicrobial sensitivity tests revealed that the nine Stx2k-STEC strains were sensitive to all 15 tested antibiotics.Moreover,phylogenetic analysis indicated that the 9 Stx2k-STEC strains were remarkably similar but showed high genetic diversity with respect to that of the Stx2k-STEC strains isolated from other regions in China.Goatsare an important animal reservoir for STEC in theChengkou district of Chongqing,and novel sequence type Stx2k-STEC strains distinct from those found in other regions of China were identified in this region.