Objective: To explore the core features of trait aggression in children and adolescents, so as to provide a theoretical basis for behavioral interventions targeting the central psychological characteristics of aggression in children and adolescents. Methods: From March to May 2020, a simple random convenience sampling method was employed to recruit 39 165 students from grades 4 to 12 in Sichuan, Chongqing, Guizhou, and Shandong. Data were collected via online questionnaires, with all participants completing the Chinese Version of the Aggression Questionnaire. Psychometric network analysis was utilized for data processing. Results: Trait aggression among Chinese children and adolescents was at a moderately low level. The core nodes of the network structure included physical aggression [if someone intentionally causes trouble for me, I will hit them severely (AGG6); if someone hits me, I will retaliate (AGG11)] and self aggression [When I am very irritable, I think of hurting myself (AGG5); when I am in a bad mood, I engage in behaviors that harm my health, such as overeating (AGG25)]. Across grade levels, core nodes primarily originated from the anger dimension [When I m angry, I feel like a powder magazine that could explode at any moment (AGG13); I can t control my temper (AGG18); I am prone to getting angry when I see things that are not pleasing to the eye (AGG23); I will get angry for no reason (AGG27)]. Except for grades 7 and 9, core nodes in other grades included the verbal aggression dimension [I am prone to arguments with people (AGG22)]. Before grade 8, core nodes incorporated the self aggression dimension (AGG 5, AGG 25); after grade 8, core nodes included the physical aggression dimension [AGG 6, AGG 11, I fight slightly more than others (AGG16), and if people around me make things difficult for me to a certain extent, I will fight with them (AGG26)]. No statistically significant differences were found in the trait aggression network structures across grades, genders, or within gender comparisons of different grades. Conclusion These findings broaden our understanding of aggression in children and adolescents, suggesting that behavioral interventions can effectively reduce aggressive behaviors in this population.

OBJECTIVE: The triply periodic minimal surface (TPMS) Gyroid porous scaffolds were built with identical porosity while varying pore sizes were used by fluid mechanics finite element analysis (FEA) to simulate the in vivo microenvironment. The effects of scaffolds with different pore sizes on cell adhesion, proliferation, and osteogenic differentiation were evaluated through calculating fluid velocity, wall shear stress, and permeability in the scaffolds. METHODS: Three types of gyroid porous scaffolds, with pore sizes of 400, 600 and 800 μm, were established by nTopology software. Each scaffold had dimensions of 10 mm × 10 mm × 10 mm and isotropic internal structures. The models were imported to the ANSYS 2022R1 software, and meshed into over 3 million unstructured tetrahedral elements. Boun- dary conditions were set with inlet flow velocities of 0.01, 0.1, and 1 mm/s, and outlet pressure of 0 Pa. Pressure, velocity, and wall shear stress were calculated as fluid flowed through the scaffolds using the Navier-Stokes equations. At the same time, permeability was determined based on Darcy' s law. The compressive strength of scaffolds with different pore sizes was evaluated by ANSYS 2022R1 Static structural analysis. RESULTS: A linear relationship was observed between the wall shear stress and fluid velocity at inlet flow rates of 0.01, 0.1 and 1 mm/s, with increasing velocity leading to higher wall shear stress. At the flow velocity of 0.1 mm/s, the initial pressures of scaffolds with pore sizes of 400, 600 and 800 μm were 0.272, 0.083 and 0.079 Pa, respectively. The fluid pressures were gradually decreased across the scaffolds. The average flow velocities were 0.093, 0.078 and 0.070 mm/s, the average wall shear stresses 2.955, 1.343 and 1.706 mPa, permeabilities values 0.54×10^-8 1.80×10^-8 and 1.89×10^-8 m² in the scaffolds with pore sizes of 400, 600 and 800 μm. The scaffold surface area proportions according with optimal wall shear stress range for cell growth and osteogenic differentiation were calcula-ted, which was highest in the 600 μm scaffold (27.65%), followed by the 800 μm scaffold (17.30%) and the 400 μm scaffold (1.95%). The compressive strengths of the scaffolds were 23, 26 and 34 MPa for the 400, 600 and 800 μm pore sizes. CONCLUSION The uniform stress distributions appeared in all gyroid scaffold types under compressive stress. The permeabilities of scaffolds with pore sizes of 600 and 800 μm were significantly higher than the 400 μm. The average wall shear stress in the scaffold of 600 μm was the lowest, and the scaffold surface area proportion for cell growth and osteogenic differentiation the largest, indicating that it might be the most favorable design for supporting these cellular activities.
Tissue Scaffolds/chemistry* ; Porosity ; Finite Element Analysis ; Osteogenesis ; Cell Differentiation ; Cell Proliferation ; Tissue Engineering/methods* ; Hydrodynamics ; Humans ; Stress, Mechanical ; Cell Adhesion

High mobility group box 1 (HMGB1), when released extracellularly, plays a pivotal role in the development of spinal cord synapses and exacerbates autoimmune diseases within the central nervous system. In experimental autoimmune encephalomyelitis (EAE), a condition that models multiple sclerosis, the levels of extracellular HMGB1 and interleukin-33 (IL-33) have been found to be inversely correlated. However, the mechanism by which IL-33 deficiency enhances HMGB1 release during EAE remains elusive. Our study elucidates a potential signaling pathway whereby the absence of IL-33 leads to increased binding of P300/CBP-associated factor with HMGB1 in the nuclei of astrocytes, upregulating HMGB1 acetylation and promoting its release from astrocyte nuclei in the spinal cord of EAE mice. Conversely, the addition of IL-33 counteracts the TNF-α-induced increase in HMGB1 and acetylated HMGB1 levels in primary astrocytes. These findings underscore the potential of IL-33-associated signaling pathways as a therapeutic target for EAE treatment.
Animals ; Encephalomyelitis, Autoimmune, Experimental/metabolism* ; Astrocytes/metabolism* ; Interleukin-33/metabolism* ; HMGB1 Protein/metabolism* ; Acetylation ; Mice, Knockout ; Mice, Inbred C57BL ; p300-CBP Transcription Factors/metabolism* ; Mice ; Spinal Cord/metabolism* ; Cells, Cultured ; Female ; Signal Transduction

Objective:By conducting a retrospective analysis of the clinical data of 14 patients diagnosed with invasive fungal rhinosinusitis (IFRS) confirmed by metagenomics next generation sequencing (mNGS) technology, we aim to explore the rapid diagnosis value of mNGS in IFRS.Methods:The clinical data of 14 IFRS patients admitted to TianJin First Central Hospital were retrospectively analyzed from February 2021 to October 2023. The study cohort comprised 8 males and 6 females, with ages ranging from 14 to 77 years. All patients were diagnosed as IFRS by performing mNGS sequencing technology of nasal sinus lesion biopsy specimens. Clinical data such as laboratory examination, imaging examination, histopathological examination results, treatment plan and prognosis were summarized and analyzed.Results:All 14 patients were diagnosed as IFRS, with mNGS detecting pathogens such as Rhizopus (7 cases), Aspergillus (5 cases), Trichoderma (1 case), and Scedosporium apiospermum (1 case). Follow-up evaluations were conducted for a period ranging from 2 months to 2 years post-treatment. At the end of follow-up, 11 out of 14 IFRS patients achieved a complete cure with no signs of recurrence, while the symptoms of the remaining 3 patients significantly improved with comprehensive treatment. Conclusion:mNGS emerges as a highly effective diagnostic tool for IFRS, providing valuable microbiological evidence for clinical diagnosis and demonstrating promising clinical utility.

Objective:To evaluate the relationship between inositol-requiring enzyme 1α-X box-binding protein 1 (IRE1α-XBP1) signaling pathway in endoplasmic reticulum and neutrophil extracellular traps during endotoxin-induced acute lung injury (ALI) in mice.Methods:Forty-eight SPF healthy male C57BL/6 mice, aged 6-8 weeks, weighing 25-30 g, were divided into 4 groups ( n=12 each) using a random number table method: control group (C group), STF-083010 group (ST group), lipopolysaccharide (LPS)-induced ALI group (ALI group) and LPS-induced ALI + STF-083010 group (ALI+ ST group). The ALI model was established by inhaling aerosolized LPS in ALI group and ALI+ ST group. The equal volume of aerosolized normal saline was inhaled in C and ST groups. IRE1α inhibitor STF-083010 50 mg/kg was intraperitoneally injected at 1 h before developing the model in ST and ALI+ ST groups, and the equal volume of normal saline was intraperitoneally injected in the other two groups. The mice were sacrificed after anesthesia at 24 h after developing the model. Bronchoalveolar lavage fluid (BALF) and lung tissues were collected for determination of the pathological changes (by light microscopy) which were scored, wet/dry lung weight (W/D) ratio, concentrations of interleukin-1beta (IL-1β), IL-18 and myeloperoxidase (MPO) in the BALF supernatant, and expression of phosphorylated IRE1α(p-IRE1α), XBP1s and citrullinated histone H3 (Cit H3) in lung tissues (using Western blot). Results:Compared to group C, the lung injury scores and W/D ratio were significantly increased at 24 h after developing the model, the concentrations of IL-1β, IL-18 and MPO in BALF were increased, and the expression of p-IRE1α, XBP1s and Cit H3 in lung tissues was up-regulated in ALI and ALI+ ST groups. Compared to group L, the lung injury scores and W/D ratio were significantly decreased at 24 h after developing the model, the concentrations of IL-1β, IL-18 and MPO in BALF were decreased, and the expression of p-IRE1α, XBP1s and Cit H3 in lung tissues was down-regulated in group ALT+ ST ( P<0.05). Conclusions:The IRE1α-XBP1 signaling pathway in endoplasmic reticulum is involved in endotoxin-induced ALI by up-regulating the expression of neutrophil extracellular traps in mice.

Objective:Based on bioinformatics,new immune-related LncRNAs related to the prognosis of gastric cancer were screened,and a prognostic risk model of immune-related LncRNA was further constructed,in order to be used as a new indicator for early diagnosis and prognostic status of gastric cancer.Methods:The gastric cancer transcriptome data and corresponding clinical prog-nosis data were downloaded from multiple data platforms,and the immune-related LncRNAs of gastric cancer were screened by bioin-formatics methods.Cox regression analysis was used to screen LncRNAs related to immune prognosis in gastric cancer,and LncRNAs related to immune prognosis with independent prognostic significance were identified to construct a prognostic risk model,and the risk score of each patient was calculated.Patients were divided into low-risk and high-risk groups according to the cutpoint.Kaplan-Meier analysis was performed for survival analysis and survival curves were drawn,nomograms were drawn and internal validation was per-formed,and univariate and multivariate Cox regression analysis was performed to analyze the relationship between risk scores and clin-icopathological characteristics and survival prognosis of gastric cancer patients.Results:Three immune prognosis-related LncRNAs(UCA1,MIR4435-1HG,RP11-617F23.1)were identified by Cox regression analysis,and a predictive scoring model was constructed to divide the patients into high-risk group and low-risk group according to the prognosis score.There was a statistically significant dif-ference in the prognosis of patients between the two groups(P<0.05).The multivariate Cox regression analysis risk score was an inde-pendent risk factor for the prognosis of gastric cancer,and the internal verification of the nomogram showed good reliability.Conclu-sion:Three immune-related LncRNAs in gastric cancer are significantly correlated with the prognosis of gastric cancer patients,and the predictive scoring model constructed based on them can effectively predict the prognosis and can be used as their independent prog-nostic biomarkers.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

The aim of this study was to evaluate the roles of interleukin (IL)-17A in risk stratification and prognosis of patients with sepsis-associated acute kidney injury (SAKI). Methods: We enrolled 146 sepsis patients (84 non-SAKI and 62 SAKI patients) admitted to the emergency department from November 2020 to November 2021. Patients with SAKI were differentiated based on the severity of acute kidney injury. All clinical parameters were evaluated upon admission before administering antibiotic treatment. Inflammatory cytokines were assessed using flow cytometry and the Pylon 3D automated immunoassay system (ET Healthcare). In addition, a receiver operating characteristic (ROC) curve was utilized to determine the prognostic values of IL-17A in SAKI. Results: The levels of creatinine, IL-2, IL-4, IL-6, IL-17A, tumor necrosis factor alpha, C-reactive protein, and procalcitonin (PCT) were significantly higher in the SAKI group than in the non-SAKI group (p < 0.05). The level of IL-17A revealed significant differences among stages 1, 2, and 3 in SAKI patients (p < 0.05). The mean levels of PCT, IL-4, and IL-17A were significantly higher in the non-survival group than in the survival group in SAKI patients (p < 0.05). In addition, the area under the ROC curve of IL-17A was 0.811. Moreover, the IL-17A cutoff for differentiating survivors from non-survivors was 4.7 pg/mL, of which the sensitivity and specificity were 77.4% and 71.0%, respectively. Conclusion: Elevated levels of IL-17A could predict that SAKI patients are significantly prone to worsening kidney injury with higher mortality. The usefulness of IL-17A in treating SAKI requires further research.

Objective:To investigate the molecular etiology of Perrault syndrome by analyzing the clinical phenotype and pathogenic gene variants of 2 male patients with bilateral severe sensorineural deafness.Methods:Two male patients with Perrault syndrome characterized by severe sensonrineual deafness adimitted to the First Affiliated Hospital of Zhengzhou University between February 2021 and March 2022 were selected, and the clinical phenotype and pathogenic gene variants of them and their family members were summarized. The whole exome sequencing technology was used to screen the pathogenic variants of the probands, and the candidate variants were determined by combining with clinical phenotype. The probands and their family members were verified by the Sanger sequencing method.Results:The whole exome sequencing results showed that the proband of family 1 had a compound heterozygous variants of the LARS2 (NM_015340.4) gene c.1565C>A (p.Thr522Asn) and c.1079T>C (p.Ile360Thr). The reported pathogenic variant c.1565C>A came from the mother, and the novel variant c.1079T>C came from the father. The second proband harbored compound heterozygous variants of HARS2 gene (NM_012208.4) c.1273C>T (p.Arg425Trp) and c.1403G>C (p.Gly468Ala), with the former from the proband′s mother, the latter from the father. The c.1273C>T was novel and c.1403G>C was the reported pathogenic variant. All above variants were respectively classified as pathogenic, uncertain significance, uncertain significance and likely pathogenic based on the ACMG guidelines. Conclusion:This study expands the mutational spectrum of LARS2 and HARS2 genes, which highlights that genetic testing plays an important role in the early diagnosis of syndromic deafness.

Objective:To analyze the risk factors of hypoparathyroidism after thyroid cancer surgery.Methods:The clinical data of 430 patients who underwent total thyroidectomy and central lymph node dissection due to thyroid cancer from Jan. 2021 to Dec. 2021 in the First Ward of Head and Neck Surgery of Sichuan Cancer Hospital were collected. They were divided into two groups according to their parathyroid hormone levels at day 1 and 6 months after surgery: temporary hypoparathyroidism group ( n = 174) and permanent hypoparathyroidism group ( n = 11). and patients with normal parathyroid function were selected as control group (256 cases on postoperative day 1 and 419 cases on postoperative month 6). Gender, age, body mass index, tumor diameter, invasion, central lymph node dissection, parathyroid transplantation, Hashimoto’s thyroiditis, and lymph node dissection in lateral neck region were monitored. The suspicious risk factors of hypoparathyroidism were evaluated by χ2 test and multivariate logistic regression analysis. Results:Univariate analysis showed that women (86.21% vs 77.34%, χ2 = 5.73, P = 0.022) and parathyroid autotransplantation (44.83% vs 28.91%, χ2 = 11.49, P = 0.001) were associated with postoperative transient hypoparathyroidism. The posterior capsule of tumor invasion (81.82% vs 45.11%, χ2 = 5.81, P = 0.016) was associated with postoperative hypoparathyroidism.Multivariate analysis showed that the independent risk factors of transient hypoparathyroidism were female ( P=0.028, OR=1.870), the largest diameter of tumor ( P=0.043, OR=1.595), extravasation of tumor ( P=0.018, OR=1.587), and parathyroid transplantation ( P=0.001, OR=1.966). The independent risk factor of permanent parathyroidism was the posterior capsule of tumor invasion ( P=0.046, OR=4.658) . Conclusions:Female, the largest tumor diameter, tumor invasion and parathyroid transplantation are independent risk factors for transient hypoparathyroidism after total thyroidectomy. The posterior capsule of tumor invasion is an independent risk factor for permanent hypoparathyroidism after total thyroidectomy.