Background Co-exposure to noise and microwave radiation occurs frequently. The central nervous system has been identified as a sensitive target organ for both noise and microwave exposure individually, and the underlying mechanisms remain poorly understood. The specific biological effects resulting from co-exposure to these two factors have yet to be fully elucidated. Objective To clarify the effects of co-exposure to noise and microwave on neurobehavior and hippocampal tissue structure, and to explore the underlying mechanism through the assessment of serum cytokines. Methods C57BL/6N mice were selected and randomly assigned to a blank control group, a noise group, a microwave group, and a combined noise & microwave exposure group. To establish the exposure models, the noise group was subjected to broadband noise at 100 dB for 2 h, while the microwave group received radiation at a central frequency of 9.375 GHz with an average power density of 12 mW·cm⁻² and a specific absorption rate of 2.58 W·kg⁻¹ for 15 min. Open field and tail suspension tests assessed anxiety-like emotional behaviour; novel object recognition and Y-maze tests evaluated cognitive function. Histological changes in hippocampal tissue were examined using haematoxylin and eosin (HE) staining, and Nissl staining under light microscopy. Serum cytokine levels were measured using radioimmunoassay and enzyme-linked immunosorbent assay (ELISA). Results After 3 d of exposure, the noise, microwave, and combined exposure groups showed significant reductions in exploration frequency, duration, and distance within the central zone of the open field test compared to the control group (P < 0.01); the combined exposure group exhibited increased ratios of peripheral-to-central exploration time and distance (P < 0.05). After 7 d of exposure, compared with the control group, the noise group maintained a decrease in central zone exploration time (P < 0.01), while the combined exposure group showed persistent decline across all central zone metrics (P < 0.05) and elevated peripheral-to-central ratios (P < 0.05); compared to the microwave group, the combined exposure group showed significant less time in the central zone (P < 0.05) and higher peripheral-to-central ratios (P < 0.05). Regarding behaviour and cognition, compared with the control group, the combined exposure group showed increased immobility time in the tail suspension test after 3 d of exposure (P < 0.01). At this interval, all exposure groups demonstrated reduced frequency and duration of novel object recognition (P < 0.05), with the combined exposure group showing a marked decrease in novel arm exploration time (P < 0.01). After 7 d of exposure, compared with the control group, the noise group showed reduced novel object recognition frequency (P < 0.05), and both the noise and microwave groups exhibited decreased novel arm exploration time (P < 0.05). Pathological alterations including an increased number of hyperchromatic nuclei and depleted Nissl bodies were observed in the CA3 and DG regions across all exposure groups with the most severe lesions observed in the combined exposure group. Serum levels of central nervous system-specific protein β (S-100β), glial fibrillary acidic protein (GFAP), and corticosterone (CORT) were significantly elevated in all exposure groups compared with the control group (P < 0.05). Aquaporin-4 (AQP4) levels increased in the combined exposure group (P < 0.05), while CXC chemokine ligand 10 (CXCL10) levels rose in both the noise and combined groups compared with the control group (P < 0.05). Specifically, S-100β and CXCL10 levels in the combined exposure group were higher than those in the microwave group (P < 0.05); moreover, levels of S-100β, GFAP, CORT, AQP4, and CXCL10 in the combined exposure group were significantly higher than those in the noise group (P < 0.05). Conclusion Combined exposure to noise and microwave radiation induces pathological changes in the hippocampus of mice, increases levels of serum stress hormones and neuro-specific biomarkers. These impairments are more severe than those observed following single-factor exposure. The underlaying mechanism may be related to systemic stress response, neuronal damage, astrocyte activation, and changes in blood-brain barrier permeability, leading to emotional behavioral abnormalities and cognitive decline.

Objective To analyze the status quo and identification efficiency of metabolic-associated fatty liver disease (MAFLD) in patients with chronic hepatitis C (CHC). Methods A total of 407 patients with CHC who were admitted to the hospital between January 2022 and January 2025 were collected as study subjects. According to whether MAFLD was newly diagnosed during the study period, all enrolled patients were classified into two groups, including MAFLD group (CHC with MAFLD, n=143) and CHC group (CHC, n=264). The general data [gender, age, place of residence, body mass index (BMI), systolic blood pressure, diastolic blood pressure, course of chronic hepatitis C (CHC), history of diabetes mellitus], liver function indicators [alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), γ-glutamyl transferase (GGT)], glucose metabolism indicators [fasting blood glucose (FBG), fasting insulin (FINS), hemoglobin A1c (HbA1c), homeostasis model assessment of insulin resistance (HOMA-IR)], lipid metabolism indicators [total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C)], serum specific protein markers {serum 25-hydroxyvitamin D [25(OH)D], adipocyte fatty acid binding protein (A-FABP), retinol binding protein 4 (RBP4), sterol regulatory element binding protein-1c (SREBP-1c)}were compared between both groups. Binary logistic regression analysis was performed for multivariate regression analysis. ROC curve was utilized to evaluate the identification value. Results The levels of ALT, AST, ALP, GGT, FBG, FINS, HbA1c, TC, TG, LDL-C, A-FABP, RBP4 and SREBP-1c in the MAFLD group were higher than those in the CHC group (P<0.05) while the levels of HDL-C and 25(OH)D were lower compared to the CHC group (P<0.05). Multivariate logistic regression analysis results suggested that TG, 25(OH)D, RBP4, HbA1c and HOMA-IR were independent related factors influencing MAFLD occurrence (P<0.05). ROC curve analysis results revealed that the identification efficiency of combined prediction (AUC=0.854, 95% CI : 0.812-0.887)was better than that of TG (AUC=0.653, 95% CI: 0.607-0.720), 25(OH)D (AUC=0.685, 95% CI: 0.607-0.715), RBP4 (AUC=0.649, 95%CI: 0.633-0.741), HbA1c (AUC=0.718, 95% CI: 0.657-0.755) or HOMA-IR (AUC=0.726, 95% CI: 0.654-0.757), and combined prediction had the best identification efficiency (P<0.05). Conclusion CHC patients with MAFLD have significant metabolic disorders and changes in specific protein markers. TG, 25(OH)D, RBP4, HbA1c and HOMA-IR are independent related factors, and combined prediction model of multiple indicators exhibits good identification efficiency.

Objective To investigate the value of combined detection of serum interleukin-25(IL-25),interleukin-33(IL-33),C-C motif chemokine ligand 2(CCL-2)and C-C motif chemokine ligand 17(CCL-17)in children with bronchial asthma.Methods A total of 91 children diagnosed with bronchial asthma were enrolled into asthma group,and 46 healthy children undergoing routine physical examinations during the same period were included in control group.General clinical data,airway inflammatory markers[fractional exhaled nitric oxide(FeNO)and immunoglobulin E(IgE)]and pulmonary function parameters[forced vital capacity(FVC),forced expiratory volume in one second(FEV1),peak expiratory flow(PEF),minute resting ventilation(VE)and specific airway resistance(Raw)]were comparedbetween the two groups.The levels of serum IL-25,IL-33,CCL-2 and CCL-17 were compared between the two groups.According to the severity of asthma,the patients were further divided into severe asthma subgroup(n=31)and non-severe asthma subgroup(n=60).Spearman correlation analysis was performed to evaluate the association between serum levels of IL-25,IL-33,CCL-2 as well as CCL-17 and the severity of asthma.Multivariate logistic regression analysis was used to identify independent risk factors for severe exacerbation in children with bronchial asthma.The predictive value of serum IL-25,IL-33,CCL-2 and CCL-17 for severe at-tacks of bronchial asthma was analyzed by using the receiver operating characteristic(ROC)curve.Results The levels of FeNO,IgE,IL-25,IL-33,CCL-2 CCL-17 and VE in the asthma group were significantly higher than those in the healthy group,while the levels of FVC,FEV1,PEF and Raw were significantly lower than those in the healthy group(P＜0.05).The levels of FeNO,IgE,IL-25,IL-33,CCL-2,CCL-17 and VE in the severe group were significantly higher than those in the non-severe group,while the levels of FVC,FEV1,PEF and Raw were significantly lower than those in the non-severe group(P＜0.05).The levels of serum IL-25,IL-33,CCL-2 and CCL-17 in children of the asthma group were positively correlated with the severity of asthma(r=0.382,0.416,0.475,0.501,P＜0.05).The levels of serum IL-25,IL-33,CCL-2 and CCL-17 were in-dependent influencing factors for severe asthma.The area under the receiver operating characteristic curve for the combined detection of IL-25,IL-33,CCL-2 and CCL-17 was greater than that obtained from each individual biomarker.Conclusion The combined prediction of serum IL-25,IL-33,CCL-2 and CCL-17 has relatively high value in predicting the development of severe asthma in chil-dren with bronchial asthma.

Objective To investigate the expression of serum microRNA-29b(miR-29b),microRNA-199a(miR-199a),and microRNA-19a-3p(miR-19a-3p)in patients with acute cerebral infarction(ACI)and their relationship with disease severity and prognosis.Methods(1)Rats were randomly divided into a control group(Control group)and a model group(Model group),with 6 rats in each group.ACI was induced in the model group using the modified Longa suture method;the expression levels of miR-29b,miR-199a,miR-19a-3p in rat serum and brain tissue were detected and analyzed.(2)A total of 106 ACI patients diagnosed at Tangshan People's Hospital from June 2023 to June 2024 were enrolled as the study group,and 108 healthy individuals who underwent physical check-ups at the same hospital during the same period were chosen as the control group.According to the NIHSS evaluation results,the study group patients were assigned into mild(42 cases),moderate(34 cases),and severe(30 cases)groups.Based on the mRS evaluation results,the patients were assigned into good prognosis(68 cases)and poor prognosis(38 cases)groups.Real-time fluorescence quantitative PCR was applied to measure the expression levels of serum miR-29b,miR-199a,and miR-19a-3p.Pearson correlation analyzed the correlation between serum miR-29b,miR-199a,miR-19a-3p levels and NIHSS score and mRS score in ACI patients.The risk factors for poor prognosis in ACI patients were analyzed using multivariate logistic regression.ROC curves were used to analyze the predictive value of serum miR-29b,miR-199a,miR-19a-3p levels and NHISS scores in poor prognosis of ACI patients.Results(1)Compared with the Control group,the levels of miR-199a and miR-19a-3p in the serum and brain tissue of the Model group rats were significantly increased,while the level of miR-29b was significantly decreased(P<0.05);(2)Compared with the control group,as the severity of ACI patients gradually increased,the levels of serum miR-199a and miR-19a-3p unusually increased in the mild,moderate,and severe groups,while the level of miR-29b was significantly decreased(P<0.05).The NHISS score,miR-199a and miR-19a-3p levels in the poor prognosis group were significantly higher than those in the good prognosis group,while miR-29b was significantly lower than that in the good prognosis group(P<0.05).The levels of serum miR-199a and miR-19a-3p were positively correlated with NIHSS score;the level of miR-29b was negatively correlated with NIHSS score(P<0.05).Elevated serum miR-199a and miR-19a-3p levels and increased NHISS score were independent risk factors for poor prognosis in ACI patients,and elevated serum miR-29b levels were protective factors for poor prognosis in ACI patients(P<0.05).The combined prediction of poor prognosis in ACI patients using serum miR-29b,miR-199a,miR-19a-3p levels and NHISS scores yielded an ACI of 0.988,which was superior to individual predictions(Z=2.878,3.551,3.300,3.452,P<0.05).Conclusion The serum expression levels of miR-199a and miR-19a-3p were significantly up-regulated,while miR-29b levels significantly down-regulated,which were related to the disease severity and prognosis.The the combination of the three miRNAs had certain value in predicting the poor prognosis of patients.MiR-29b,miR-199a,and miR-19a-3p can be used as important predictors to evaluate the progression and prognosis of ACI patients.

This study identified six novel azaphilones, isochromophilones G-L (1-6), and three novel biosynthetically related congeners (7-9) from Diaporthe sp. SCSIO 41011. The structures and absolute configurations were elucidated through comprehensive spectroscopic analyses combined with experimental and calculated electronic circular dichroism (ECD) spectra. Significantly, three highly oxygenated azaphilones contain an acetyl group at the terminal chain (4) or linear conjugated polyenoid moieties (5 and 6), which occur infrequently in the azaphilone family. Additionally, several compounds demonstrated inhibition of lipopolysaccharide (LPS)-induced nuclear factor kappa-B (NF-κB) activation in RAW 264.7 macrophages at 20 μmol·L^-1. The novel compound (1) effectively inhibited receptor activator of NF-κB ligand (RANKL)-induced osteoclast differentiation without exhibiting cytotoxicity in bone marrow and RAW 264.7 macrophages, indicating its potential as a promising lead compound for osteolytic disease treatment. This research presents the first documented evidence of azaphilone derivatives as inhibitors of RANKL-induced osteoclastogenesis.
Animals ; Mice ; RANK Ligand/genetics* ; RAW 264.7 Cells ; Osteoclasts/metabolism* ; Benzopyrans/isolation & purification* ; Osteogenesis/drug effects* ; Macrophages/metabolism* ; Molecular Structure ; Pigments, Biological/isolation & purification* ; Ascomycota/chemistry* ; NF-kappa B/genetics* ; Cell Differentiation/drug effects*

Objective:To investigate the molecular pathogenic mechanism of venous thrombosis caused by heterozygous missense mutations in two protein C (PROC) genes through laboratory phenotype analysis, genetic mutation analysis, and in vitro expression experiments.Methods:Two probands presented with venous thromboembolism at the First Affiliated Hospital of Wenzhou Medical University. Clinical data and blood samples were collected from the probands and their family members to evaluate the plasma protein C (PC) activity (PC∶A), PC antigen (PC∶Ag) levels, and other relevant coagulation parameters. The anticoagulant capacity was assessed using the thrombin generation test (TGT). The mutation sites of the PROC gene were identified using direct DNA sequencing. Bioinformatics software was used to analyze the conservation and pathogenicity of the mutated gene. PyMOL software was used for the analysis of the protein three-dimensional models and interactions between mutated amino acids. Wild-type and two mutant expression vectors were constructed and HEK293T cells were transiently transfected. Total cellular RNA was extracted from positively transfected cells to investigate the transcriptional levels of the mutant PROC gene. Enzyme-linked immunosorbent assay, Western blot, and cellular immunofluorescence assays were used to investigate the translation levels of the mutant PROC protein.Results:Probands 1 and 2 exhibited PC∶A levels of 35% and 40% and PC∶Ag levels of 44% and 39%, with increasing D-dimer levels to 4.42 mg/L and 0.83 mg/L, respectively. Meanwhile, other coagulation parameters revealed no significant abnormalities. TGT demonstrated impaired anticoagulant function in both proband witnesses and their familial PC carriers. Sequencing analysis revealed heterozygous missense mutations c. 833T>C (p. Leu278Pro) in proband 1 and c. 1330T>C (p. Trp444Arg) in proband 2 within exon 9 of the PROC gene. Conservation analysis revealed that Leu278 and Trp444 were highly conserved across homologous species. Pathogenicity analysis indicated that both p. Leu278Pro and p. Trp444Arg mutations are deleterious. Protein modeling analysis demonstrated that both mutations induce structural alterations in the protein. In vitro expression experiments revealed that compared with the wild-type, both p. Leu278Pro and p. Trp444Arg mutations showed no significant differences in the mRNA expression level of the PC protein. However, both mutations caused significantly lower PC∶Ag content and protein expression levels in the cell culture supernatant compared with the wild-type, whereas higher levels were observed in the cell culture lysate. This indicates the association of both mutations with the secretion function of the PC protein.Conclusion:The heterozygous missense mutations p. Leu278Pro and p. Trp444Arg in exon 9 of the PROC gene in both probands are associated with decreased PC levels.

Objective:To assess the application effects of an energy-restricted diet combined with high-protein, high-dietary-fiber meal replacement powder and probiotics in overweight/obese adults.Methods:It was a randomized controlled trial. A consecutive sample of 150 overweight/obese adults who underwent physical examinations at the Health Care Center of the First Hospital of Hebei Medical University between November 2021 and March 2022. The participants were randomly assigned into the combined group, the high-protein group, and the common group (50 participants per group) using a random number table method. All three groups of subjects received weight loss health education, energy-restricted diet, and interventions with meal replacement powder and probiotics (or probiotic placebo). The combined group was given high-protein and high-dietary fiber meal replacement powder and probiotics. The high-protein group was given high-protein meal replacement powder and probiotic placebo. The common group was given ordinary meal replacement powder and probiotic placebo. The meal replacement powder was packaged in 35 g per bag, with main components of varying amounts of protein, fat, carbohydrates, vitamins, and trace elements. Both the probiotic powder and the probiotic placebo came in 2 g sachets. The primary components of probiotic powder were various Bifidobacterium, Lactobacillus and excipients, while the main component of probiotic placebo was excipients. The meal replacement powder and the probiotic powder or probiotic placebo were taken twice a day for a total of 12 weeks, one sachet of each time, followed by a 4-week follow-up. The body weight, body mass index, body fat mass, abdominal circumference and hip circumference were measured before the trial (week 0) and at the end of weeks 2, 4, 8, 12, and 16. The change rates of each indicator were calculated. Biochemical indicators, trace elements, and 25-hydroxyvitamin D levels were measured at the end of week 0, 4, 8, and 12. A product evaluation questionnaire was conducted at the end of week 12. A total of 19 cases dropped out due to various reasons. Finally, 46 cases in the combined group, 42 cases in the high-protein group, and 43 cases in the common group were included in the analysis. Paired-samples t test, Kruskal-Wallis H test, one-way analysis of variance, and Mann-Whitney U test were used to compare the differences in weight-loss and maintenance effects, safety and patient acceptance among the three intervention groups, and to analyze the application effect of the energy-restricted diet combined with high-protein and high-dietary fiber meal replacement powder plus probiotics in overweight/obese adults. Results:Among the 131 overweight/obese adults included in the analysis, there were 57 males and 74 females, with a mean age of (37.30±8.33) years. By the end of the week 12, the body mass index [26.87(25.77, 30.38) vs 29.61(27.96, 33.09) kg/m2; 27.10(24.70, 31.37) vs 29.40(27.20, 34.17) kg/m2; 27.98(26.43, 30.12) vs 29.88(28.22, 31.93) kg/m2] and body fat masses [22.15(17.70, 30.15) vs 30.75(25.63, 35.40) kg; 23.35(19.12, 28.70) vs 29.45(26.20, 37.05) kg; 26.80(24.10, 31.60) vs 30.00(26.00, 34.70) kg] in the combined group, the high-protein group and the common group were all lower than those at baseline (week 0) (all P<0.05). At the end of the week 12, the change rates of body fat mass and body mass index in the combined group were both higher than those in the high-protein group and the common group [(25.98%±9.58%) vs (23.88%±11.15%) and (9.35%±11.00%), 9.29%(7.23%, 11.58%) vs 7.96% (5.51%, 10.92%) and 5.77% (2.68%, 10.03%)] (all P<0.05). At the end of the week 12, the body fat mass in the combined group and the high-protein group were both lower than that in the common group [22.15(17.70, 30.15), 23.35(19.12, 28.70) vs 26.80(24.10, 31.60) kg] (both P<0.05). At the end of the week 12, the decreased values of uric acid and high-sensitivity C-reactive protein in the combined group were both higher than those in the high-protein group and the common group [17.15(13.02, 23.45) vs 1.50(0.22, 28.60) and 4.20(0.15, 19.95) μmol/L, 0.43(0.24, 0.60) vs 0.21(0.06, 0.43) and 0.28(-0.04, 0.88) mg/L](both P<0.05). No serious adverse events were observed during the intervention period and at the end of the intervention. In the product evaluation questionnaire, the combined group scored higher than the high-protein group and the common group on items such as usage frequency, taste, satiety, willingness to continue use, willingness to recommend to others, and willingness to purchase [4(3, 4) vs 3(3, 4) and 3(2, 4) points, 4(3, 4) vs 3(3, 4) and 3(2, 4) points, 4(3, 4) vs 3(3, 4) and 3(3, 3) points, 4(3, 4) vs 3(3, 4) and 3(3, 4) points, 4(3, 4) vs 3(3, 4) and 3(3, 3) points, 3(3, 4) vs 3(3, 4) and 3(2, 3) points] (all P<0.05). Conclusion:An energy-restricted diet combined with high-protein, high-dietary-fiber meal replacement powder and probiotics demonstrates superior weight-loss and weight-maintenance effects in overweight/obese adults, with high safety and great user acceptability.

Objective:To analyze the changes in the phylogenetic and antigenic characteristics of the hemagglutinin (HA) gene of influenza virus A(H3N2) [A(H3N2)] during the 2022-2024 influenza seasons in Beijing.Methods:The data of influenza-like cases and A(H3N2) strains from 17 network laboratories and their corresponding sentinel hospitals were collected during the 2022-2024 influenza seasons. The HA genes were amplified and sequenced after extracting nucleic acids of the chosen virus strains. BioEdit, the nucleotide and amino acid sequence identity were conducted, and the maximum likelihood method in MEGA 5.0 software was used to construct the phylogenetic tree of HA genes. Web Logo displayed the amino acid mutation, and the N-glycosylation sites of HA online were analyzed using the NetNGlyc1.0 Server online. The Datamonkey platform was utilized to analyze the positive selection pressure sites of the HA protein.Results:The 2022-2024 influenza season includes 2022-2023 and 2023-2024. During the influenza seasons of 2022-2024, the positive rates of A(H3N2) nucleic acid were 10.35% (2 127/20 543) and 10.47% (4 386/41 876), respectively. In the 2022-2023 influenza season, there were two peaks in the A(H3N2). The comparison of HA genes between all A(H3N2) strains studied with the 2022-2024 vaccine strain (A/Darwin/9/2021) revealed that all of the strains studied have the two amino acid mutations involving 186 and 225 receptor binding sites. There were 31 amino acid substitutions in the 2022-2023 influenza season, of which 18 variant sites involved antigenic determinants. There were 35 amino acid mutations during the 2023-2024 influenza season, of which 14 were related to antigenic determinants. There were changes in the genetic evolutionary subclades of A(H3N2) strains in two influenza seasons: from 2022 to 2023, three evolutionary subclades were co-prevalent together, with the 3C.2a1b.2a.2a.3a.1 accounting for 76.67% (23/30), the 3C.2a1b.2a.1a accounting for 20.00% (6/30), the 3C.2a1b.2a.2a.1 accounting for 3.33% (1/30); from 2023 to 2024, two subclades were prevalent, with 3C.2a1b.2a.2a.3a.1 accounting for 95.12% (39/41) and 3C.2a1b.2a.2a.1 accounting for 4.88% (2/41). The glycosylation site changes of the HA protein of A(H3N2) have been enhanced from 2023 to 2024. The 145 amino acid position of the HA protein of the A(H3N2) was the positive selection site for stress selection site analysis.Conclusions:The evolutionary subclades of the HA gene of A(H3N2) in Beijing showed changes from 2022 to 2024, and the glycosylation site polymorphism of the HA protein of A(H3N2) significantly increased from 2023 to 2024. Continuous monitoring of HA mutations in the A(H3N2) is crucial, providing a basis for developing influenza prevention and control strategies, as well as new strategic support for screening influenza vaccine components, vaccine design, and discovery of drug targets.

Objective:To analyze the epidemiological characteristics of wasting, spinal curvature abnormalities and multimorbidity among children and adolescents aged 6-18 in Inner Mongolia and explore the related factors of these two health problems.Methods:In September 2022, a stratified random cluster sampling method was employed to select 188 635 children and adolescents aged 6-18 in Inner Mongolia for physical examinations and questionnaire surveys. Data on height, weight, as well as dietary behavior, physical activity, classroom environment, academic tasks, writing posture, and screen behavior were collected. The epidemiological characteristics of wasting, spinal curvature abnormalities and multimorbidity were analyzed. Additionally, a multivariate logistic regression model was used to analyze the factors associated with wasting, spinal curvature abnormalities and multimorbidity.Results:A total of 188 635 children and adolescents aged 6-18 years participated in this study, including 95 393 boys (50.6%) with an average age of (11.53±3.32) years. The detection rate of wasting was 3.79%, with a higher detection rate in boys (4.18%) than in girls (3.38%) ( P<0.001). The detection rate of spinal curvature abnormalities was 3.64%, with a higher detection rate in girls (4.04%) than in boys (3.25%) ( P<0.001). The detection rate of multimorbidity between wasting and spinal curvature abnormalities was 0.17%, and there was no statistically significant difference between genders ( P>0.05). The detection rates of wasting, spinal curvature abnormalities, and multimorbidity all increased with age ( P t<0.001). The multivariate logistic regression analysis showed that, after adjusting for gender, age, urban/rural status, and school grade, compared to children and adolescents who exercised ≥1 hour of moderate-to-vigorous physical activity (MVPA) for at least 5 days per week and had daily screen time <2 hours, those who exercised <5 days per week ( OR=1.28, 95% CI: 1.19-1.37) and had daily screen time ≥2 hours ( OR=1.11, 95% CI: 1.03-1.19) had a higher risk of wasting. Compared to children and adolescents who had ≥5 physical education (PE) classes per week, adjusted desk and chair height,<1 hour of after-school study/writing time, and whose parents or teachers rarely or never reminded them about posture, those with <5 PE classes per week ( OR=1.11, 95% CI: 1.02-1.21), unadjusted desk and chair height ( OR=1.08, 95% CI: 1.01-1.15),≥1 hour of after-school study/writing time ( OR=1.15, 95% CI: 1.07-1.24), frequent reminders from parents ( OR=1.16, 95% CI: 1.09-1.23), and frequent reminders from teachers ( OR=1.10, 95% CI: 1.04-1.16) had a higher risk of spinal curvature abnormalities. Compared to children and adolescents who did not consume sugary drinks daily, exercised ≥1 hour of MVPA for at least 5 days per week, and whose teachers rarely or never reminded them about posture, those who consumed sugary drinks daily ( OR=1.61, 95% CI: 1.00-2.46), exercised <5 days per week ( OR=1.33, 95% CI: 1.01-1.79), and had teachers who frequently reminded them about posture ( OR=1.35, 95% CI: 1.05-1.75) had a higher risk of multimorbidity between wasting and spinal curvature abnormalities. Conclusion:The detection rates of wasting, spinal curvature abnormalities and multimorbidity among children and adolescents aged 6-18 in Inner Mongolia are generally low, with an increasing trend observed with age. Both lifestyle and school environmental factors are associated with wasting, spinal curvature abnormalities and multimorbidity.

Objective:To analyze the causal relationship between type 2 diabetes and lumbar bone mineral density and spinal fractures and to further explore the impact of central obesity on the diabetic bone paradox.Methods:A Mendelian randomization (MR) study was implemented. Single nucleotide polymorphisms (SNPs) associated with type 2 diabetes were selected from the data of genome-wide association studies as instrumental variables, with lumbar bone density and spinal fractures as the outcome variables. The inverse variance weighting method, weighted median method, and MR-Egger regression were applied to identify a causal relationship between type 2 diabetes and osteoporosis at the genetic level. Additionally, to analyze the impact of central obesity in the diabetic bone paradox, the waist-to-hip ratio was introduced as a new exposure variable, with type 2 diabetes and lumbar bone density as outcome variables, and the MR method was applied again to uncover the influencing factors.Results:The screening criteria were based on the three main assumptions of MR. Finally, 62 SNPs for type 2 diabetes and 241 SNPs for waist-to-hip ratio were included in the MR analysis. Using inverse variance weighting as the primary analysis, the causal association effect analysis indicated a causal relationship between type 2 diabetes and increased lumbar bone density ( OR=1.047 6, P=0.007) and spinal fractures ( OR=1.000 9, P=0.014). A causal relationship between waist-to-hip ratio and type 2 diabetes ( OR=1.638 6, P<0.001) was identified, indicating that the waist-to-hip ratio was a risk factor for type 2 diabetes and may have a causal association with increased lumbar bone density ( OR=1.096 3, P=0.044). This suggests that the waist-to-hip ratio may indirectly affect the relationship between diabetes and osteoporosis. The MR-Egger intercept test showed no horizontal pleiotropy in this study. The leave-one-out analysis indicated that no single SNP had a significant impact on the overall results. Furthermore, the MR-pleiotropy residual sum and outlier (MR-PRESSO) test results did not detect any outlier SNPs. Conclusion:MR analysis identified a causal relationship between type 2 diabetes and increased lumbar bone density as well as a higher risk of spinal fractures, a paradox that may be related to central obesity.