Objective To investigate the mechanisms by which Porphyromonas gingivalis(P.gingivalis)promotes the malignant progression of oral squamous cell carcinoma(OSCC)through the recruitment of chemokine receptor 6-positive(CCR6+)regulatory T cells(Treg)in the tumor microenvironment(TME).Methods The Cancer Genome Atlas(TCGA)database was used to analyze the correlation between chemokine ligand 20(CCL20),CCR6,and Treg.The Treg enrichment index and the expression levels of interleukin(IL)-10 and tumor necrosis factor β1(TGF-β1)were assessed in the high CCR6 expression group of OSCC patients.C57BL/6 mice were randomly assigned to a control group and an experimental group(n=6 in each group).The control group received a single injection of 100 μL SCC7,a mice head and neck squamous carcinoma cell line,while the experimental group received a single injection of 100 μL mixture of SCC7 cells and P.gingivalis in the cheek.After two weeks,the mice were sacrificed,and immunohistochemistry was performed to assess the expression levels of CCR6 and forkhead box protein 3(FOXP3)in OSCC.Flow cytometry was performed to analyze the effects of P.gingivalis on OSCC malignant biological behavior,CCR6+Treg cells,and the immune microenvironment.Results Bioinformatics analysis revealed a correlation between CCL20,CCR6,and Treg(r=0.373,P＜0.0001).OSCC patients with high CCR6 expression showed higher Treg enrichment scores and increased IL-10 expression.Animal experiments showed that P.gingivalis promoted the increase in the tumor volume(mm3)(0.294±0.105 in the control group and 0.526±0.101 in the experimental group,P＜0.01)and mass(mg)(206.200±53.950 in the control group and 376.000±119.200 in the experimental group,P＜0.01)in mice with OSCC.Immunohistochemistry confirmed a correlation between CCR6 and FOXP3(r=0.659,P＜0.05),and P.gingivalis promoted the expression of CCR6 and FOXP3.Flow cytometry analysis showed that P.gingivalis increased the proportion of CCR6+Treg(％)(13.780±1.506 in the control group and 18.260±2.257 in the experimental group,P＜0.01)and decreased the proportion of CD8+T cells(％)(27.120±1.647 in the control group and 21.060±3.148 in the experimental group,P＜0.01)in OSCC,thereby promoting the formation of a immunosuppressive microenvironment.Conclusion P.gingivalis promotes the malignant progression of OSCC by recruiting CCR6+Treg cells to form an immunosuppressive TME.

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.

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

Femoral intertrochanteric fracture is one of the common types of fractures in the elderly. With the general improvement of medical and living standards, the number of elderly people is increasing, and the problem of osteoporosis has also become relatively prominent. Therefore, low violence can usually cause fractures in this area of the elderly, which has a significant negative impact on the quality of life of elderly patients. With the further development of medical technology and internal fixation materials, the emergence of proximal femoral nail antirotation(PFNA) has greatly improved the treatment effect of femoral intertrochanteric fractures in elderly patients. However, with the increasing number of patients treated, internal fixation failures have gradually been reported. In recent years, proximal femoral biomimetic intramedullary nail(PFBN) has been reported to have good clinical efficacy. Therefore, this article mainly elaborates on the theoretical basis, design characteristics, biomechanics, and clinical efficacy research of PFBN, providing more reference for the clinical treatment of femoral intertrochanteric fractures in elderly patients in the future.

Objective:To establish a nomogram model based on elastic imaging parameters and ultrasound image features, and evaluate its predictive value in central lymph node metastasis (CLNM) in papillary thyroid carcinoma (PTC) .Methods:The clinical data of 168 patients (the research group) with papillary thyroid carcinoma who underwent thyroid surgery in our hospital from Jan. 2019 to Dec. 2021 were retrospectively collected, including gender, age, ultrasound elastography parameters (elasticity ratio, blue area ratio), and ultrasound examination indicators (nodule diameter, nodule number, internal echo, border, edge, aspect ratio, microcalcification, capsule invasion). Another 150 patients who underwent thyroid surgery in our hospital during the same period were selected as the validation group.According to the results of postoperative pathological examination, the the research group were divided into two groups: 64 cases (38.10%) of CLNM and 104 cases (61.90%) of non-CLNM. Binary logistic regression analysis was used to explore the influencing factors of CLNM in PTC patients, and a nomogram model based on elastic imaging parameters and ultrasound image features was established. The nomogram model was drawn to predict the receiver operating characteristic (ROC) curve of CLNM in PTC patients.Results:There were statistically significant differences in nodule diameter, edge, microcalcification, capsule invasion, blue area ratio, and elasticity ratio ( P<0.05). Most of the nodules in the CLNM group were ≥10 mm in diameter, with uneven margins, an aspect ratio of <1, microcalcifications and capsular invasion. Logistic regression analysis showed that nodule diameter, capsule invasion, blue area ratio and elastic ratio were risk factors for CLNM ( P<0.05). The AUC of the combined detection was 0.857 (0.777-0.937), and the sensitivity and specificity were 78.1% and 86.5%, respectively, and the AUC and sensitivity were significantly higher than the individual detection of each index ( P<0.05). In the research group, the sensitivity and specificity of the ultrasound parameter prediction model in predicting CLNM were 81.25% (52/64) and 84.62% (88/104), respectively. In the validation group, the sensitivity and specificity of the ultrasound parameter prediction model in predicting CLNM were 79.17% (38/48) and 85.29% (87/102), respectively. Conclusion:Elastography parameters (blue area ratio, elasticity ratio) and ultrasound image features (nodule diameter, capsular invasion) are the influencing factors of CLNM in PTC patients, and the combined prediction based on the above four indicators has good application value.

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.

Background:Previous studies have proved that neutrophil gelatinase-associated lipocalin(NGAL)plays an important role in the progression of Crohn's disease(CD),and may serve as a potential biomarker for disease activity prediction,severity assessment,treatment response evaluation and prognosis monitoring.However,the diagnostic value of NGAL in perianal fistulizing Crohn's disease(pfCD)is still unclear.Aims:To investigate the serum level of NGAL and its diagnostic value in patients with active pfCD.Methods:A total of 66 patients diagnosed as pfCD from July 2021 to June 2023 at Longhua Hospital,Shanghai University of Traditional Chinese Medicine were enrolled,including 36 active pfCD patients and 30 inactive pfCD patients.The disease activity and perianal fistula activity were assessed by Crohn's disease activity index(CDAI)and perianal disease activity index(PDAI),respectively.Serum NGAL,fecal calprotectin(FC),C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),as well as CDAI score and PDAI score were compared between the active and inactive pfCD patients,and the correlations of NGAL with the other parameters in active pfCD patients were analyzed.ROC curve was drawn to evaluate the values of serum NGAL,FC,CRP and ESR for diagnosis of active pfCD.Results:The serum NGAL,FC,CRP,ESR,CDAI score and PDAI score in active pfCD patients were significantly higher than those in inactive pfCD patients(all P＜0.001).NGAL was positively correlated with FC(r=0.64,P＜0.001),CRP(r=0.55,P＜0.001),ESR(r=0.53,P＜0.001),CDAI score(r=0.59,P＜0.001)and PDAI score(r=0.54,P＜0.001)in active pfCD patients.The optimal cut-off values of NGAL,FC,CRP and ESR were 220.5 μg/L,146.0 μg/g,7.9 mg/L and 23.5 mm/h,respectively,for the diagnosis of active pfCD,and the area under the curve were 0.922(95％CI:0.850-0.995),0.888(95％CI:0.806-0.970),0.853(95％CI:0.763-0.944)and 0.830(95％CI:0.731-0.930),respectively.Conclusions:Serum NGAL level is associated with the disease activity of pfCD,and can be used as a non-invasive biomarker for the clinical diagnosis of active pfCD.

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 explore the impact of whole blood organophosphate esters (OPEs) flame retardant exposure on thyroid function-related hormones in healthy older adults.Methods:In this panel study, five repeated population-based epidemiological surveys and biological sample collection were conducted from September 2018 to January 2019, with 76 healthy older adults aged 60-69 years in the Dianliu Community of Jinan, Shandong Province. Information on the sociodemographic characteristics, diet, and health status of the respondents was systematically gathered through questionnaires and physical examinations. Fasting venous blood was collected to determine the levels of OPEs, thyroid-stimulating hormone (TSH), triiodothyronine (T 3), and thyroxine (T 4). A linear mixed-effects model was used to analyze the impact of OPEs exposure on thyroid function-related hormones in healthy older adults. Results:Each of the 76 subjects participated in at least two follow-up visits, resulting in a total of 350 person visits. The age of the study participants was (65.07±2.76) years, with 38 participants of both sexes. A total of eight OPEs were included with a detection rate exceeding 50%, and the M ( Q 1, Q3) for ∑OPEs was 3.85 (2.33, 5.74) ng/ml, with alkyl-OPEs being the major type of OPEs with an M ( Q 1, Q3) of 1.27 (0.64, 2.50) ng/ml. The M ( Q 1, Q3) for TSH, T 3, and T 4 was 3.74 (2.55, 5.69) μIU/ml, 1.32 (1.10, 1.60) ng/ml, and 45.04 (36.96, 53.27) ng/ml, respectively. Linear mixed-effects model showed that TSH was significantly decreased by 9.93% (95% CI:-15.17%, -4.36%) and 11.14% (95% CI:-15.94%, -6.06%) in older adults for each quartile level increase in TnBP and TEHP exposures, respectively. Gender-stratified analysis indicated that TEHP exposure was negatively associated with TSH levels in male older adults, whereas a decrease in TSH levels among female older adults was associated with TnBP exposure. Conclusion:Exposure to whole blood OPEs is associated with decreased TSH levels among healthy older adults, with notable gender differences.

Objective To investigate the mechanism underlying the neuroprotective effect of linarin(LIN)against microglia activation-mediated inflammation and neuronal apoptosis following spinal cord injury(SCI).Methods Fifty C57BL/6J mice(8-10 weeks old)were randomized to receive sham operation,SCI and linarin treatment at 12.5,25,and 50 mg/kg following SCI(n=10).Locomotor function recovery of the SCI mice was assessed using the Basso Mouse Scale,inclined plane test,and footprint analysis,and spinal cord tissue damage and myelination were evaluated using HE and LFB staining.Nissl staining,immunofluorescence assay and Western blotting were used to observe surviving anterior horn motor neurons in injured spinal cord tissue.In cultured BV2 cells,the effects of linarin against lipopolysaccharide(LPS)-induced microglia activation,inflammatory factor release and signaling pathway changes were assessed with immunofluorescence staining,Western blotting,RT-qPCR,and ELISA.In a BV2 and HT22 cell co-culture system,Western blotting was performed to examine the effect of linarin against HT22 cell apoptosis mediated by LPS-induced microglia activation.Results Linarin treatment significantly improved locomotor function(P<0.05),reduced spinal cord damage area,increased spinal cord myelination,and increased the number of motor neurons in the anterior horn of the SCI mice(P<0.05).In both SCI mice and cultured BV2 cells,linarin effectively inhibited glial cell activation and suppressed the release of iNOS,COX-2,TNF-α,IL-6,and IL-1β,resulting also in reduced neuronal apoptosis in SCI mice(P<0.05).Western blotting suggested that linarin-induced microglial activation inhibition was mediated by inhibition of the TLR4/NF-κB signaling pathway.In the cell co-culture experiments,linarin treatment significantly decreased inflammation-mediated apoptosis of HT22 cells(P<0.05).Conclusion The neuroprotective effect of linarin is medicated by inhibition of microglia activation via suppressing the TLR4/NF-κB signaling pathway,which mitigates neural inflammation and reduce neuronal apoptosis to enhance motor function of the SCI mice.