ObjectiveTo investigate the effect of Qingrun prescription（QRP）-containing serum on improving insulin resistance in HepG2 cells and its potential mechanisms. MethodsAn insulin resistance model was established in HepG2 cells with 1×10^-6 mol·L^-1 insulin. Branched-chain α-keto acid dehydrogenase （BCKDH） gene silencing was achieved using siRNA， and the cells were divided into 8 groups： normal group， model group （1×10^-6 mol·L^-1 insulin）， metformin group （1 mmol·L^-1 metformin）， high-， medium-， and low-dose QRP groups （20%， 10%， and 5% QRP-containing serum， respectively）， QRP + siRNA-silenced BCKDH （si-BCKDH） group （10% QRP-containing serum + si-BCKDH）， and QRP + si-NC group （10% QRP-containing serum + si-NC）. Glucose levels in the supernatant were measured with a glucose assay kit， while glycogen content was assessed using a glycogen assay kit. Levels of branched-chain amino acids （BCAAs） and branched-chain keto acids （BCKAs） were determined using ultra-high performance liquid chromatography-tandem mass spectrometry （UHPLC-MS/MS）. mRNA transcription and protein expression levels of BCKDH， dishevelled， Egl-10， and pleckstrin （DEP） domain-containing mammalian target of rapamycin （mTOR）-interacting protein （DEPTOR）， mTOR， and ribosomal protein S6 kinase 1 （S6K1） were detected using real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot. ResultsCompared to the normal group， the model group exhibited significantly decreased glucose consumption and glycogen content， increased levels of BCAAs and BCKAs， downregulated expression of BCKDH and DEPTOR， and upregulated mTOR and S6K1 expression （P<0.01）. In comparison to the model group， QRP treatment at all doses significantly enhanced glucose consumption and glycogen content while reducing BCAAs and BCKAs levels （P<0.01）. The high- and medium-dose QRP groups demonstrated significant upregulation of BCKDH mRNA transcription and protein expression， as well as DEPTOR mRNA transcription. Moreover， the DEPTOR protein expression level was significantly increased in high-， medium-， and low-dose QRP groups， while mTOR and S6K1 mRNA and protein expression levels were markedly downregulated （P<0.05， P<0.01）. Compared to the QRP + si-NC group， the QRP + si-BCKDH group exhibited increased BCAAs and BCKAs levels， significantly decreased BCKDH mRNA transcription and protein expression， downregulated DEPTOR mRNA and protein expression， and upregulated mTOR and S6K1 mRNA and protein expression （P<0.05， P<0.01）. ConclusionQRP may improve insulin resistance by reprogramming BCAAs metabolism. This effect involves upregulating BCKDH， reducing BCAAs and BCKAs levels， and suppressing the mTOR pathway activation.

Objective To observe the characteristics of gut microbiota in patients with type 2 diabetes mellitus(T2DM)with different traditional Chinese medicine(TCM)syndrome types,and to further explore the key microbial communities and functional differences affecting syndrome differentiation.Methods A total of 45 patients who visited the Department of Geriatrics,Hunan Provincial Hospital of Integrated Traditional Chinese and Western Medicine in 2023 were enrolled.These included 15 T2DM patients with qi-yin deficiency and blood stasis syndrome(Group A),15 T2DM patients with qi-yin deficiency syndrome(Group B),and 15 non-diabetic patients from the same period(Group C).Fecal samples were collected,and 16S rRNA sequencing and analysis were performed.Results 1)A total of 1 564 operational taxonomic units(OTUs)were obtained from the three groups of patients,with 224,127,and 351 unique OTUs identified in Groups A,B and C,respectively.2)Both α-and β-diversity analyses indicated differences among the gut microbiota of the three groups.For instance,in the α-diversity analysis,the Sobs index showed significant inter-group differences(P＜0.01).Group A(264.00±88.84)was significantly higher than Group B(145.90±87.0)(P＜0.01),while Group B was significantly lower than Group C(229.7±112.4)(P＜0.05).In the β-diversity analysis,the principal coordinate analysis(PCoA)indicated a clear separation among groups(R=0.1610,P＜0.01).The R values in the Anosim/Adonis analysis ranged from 0.144 to 0.196,and the R2 values ranged from 0.067 to 0.083,all indicating differences in inter-group comparisons(P＜0.01).3)At the phylum level,Firmicutes,Actinobacteriota,and Bacteroidota were predominant in all groups.Among them,Bacteroidota exhibited significant inter-group differences(P＜0.05),with its abundance in Group A being significantly higher than that in Group B(P＜0.01).4)Analysis of differences in microbiota composition,combined with linear discriminant analysis effect size(LEfSe)and Random Forest analysis,revealed that,at the genus level,the microbiota biomarkers between Group A and Group B were Parabacteroides,Bacteroides,g_unclassified_f_Lachnospiraceae,Roseburia,and Aspergillus,those between Group B and Group C were Erysipelotrichaceae_UCG-003 and Ruminococcus,and those between Group A and Group C were Parabacteroides,Anaerotruncus,and Oscillibacter.The results were validated by receiver operating characteristic(ROC)curve analysis,which suggested that the microbiota biomarkers between Group A and Group B(AUC=0.91;95％CI,0.80-1.00),Group B and Group C(AUC=0.84;95％CI,0.69-0.99),Group A and Group C(AUC=0.87;95％CI,0.75-0.99)had good diagnostic efficacy.5)The study identified 116 major pathways with inter-group differences through Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis.For example,the enrichment degree of ABC transporter pathway in Group A(2.58±0.36)was significantly lower than those in Group B(2.90±0.48)and Group C(3.11±0.66)(P＜0.05).These pathways were associated with metabolism and environmental information processing.g.Conclusion The differences in the gut microbiota characteristics and functions among patients with specific TCM syndromes of T2DM may provide references for TCM syndrome differentiation and therapeutic mechanisms.

Objective:To explore the impact of parenting style on social anxiety among college students, and examine the mediating effect of core self-evaluation.Methods:From November 2022 to January 2023, a total of 1 126 college students in Harbin were taken as research subjects.Interaction anxiousness scale(IAS), short-egna minnen betraffende upfostran-Chinese(s-EMBU-C) and core self-evaluations scale(CSES) were used for analysis. Data were analyzed using SPSS 26.0 software for correlation analysis and analysis of variance.AMOS 27.0 software was used for mediation effect test.Results:Social anxiety (42.31±8.23) was negatively correlated with positive parenting style (5.44±1.45) ( r=-0.072, P<0.05) and core self-evaluation (32.12±6.01) ( r=-0.350, P<0.01), while positively correlated with negative parenting style (7.40±1.74)( r=0.302, P<0.01). Core self-evaluation was positively correlated with positive parenting style ( r=0.362, P<0.01) and negatively correlated with negative parenting style ( r=-0.346, P<0.01).Parent parenting styles had a significant mean direct effect on social anxiety of college students ( βpositive=0.098, βnegtive=0.222).Mediation analyses indicated that core self-evaluation played a masking role between positive parenting styles and social anxiety, with an absolute value of 90.82% for the ratio of indirect(-0.089) to direct effects(0.098).Core self-evaluation had partial mediating effect on negative parenting styles, with direct effect and indirect effect accounting for 73.03% and 26.97% of the total effect, respectively. Conclusion:Parenting style can either directly affect college students' social anxiety or indirectly through the mediating effect of core self-evaluations, with core self-evaluations playing a masking role in the positive parenting styles pathway.

Objective:To test the reliability and validity of the general procrastination scale (GPS) in the application of middle school students.Methods:The Chinese version of GPS, the irrational procrastination scale(IPS), and the Maslach burnout inventory(MBI) were utilized to survey 10 825 middle school students in Harbin City through stratified random sampling, and 4 498 students were retested after 4 weeks. Statistical analysis was performed using SPSS 27.0 and Mplus 8.0.Results:The entries were well differentiated.Exploratory and confirmatory factor analysis indicated that GPS was composed of two factors, including active avoidance and lack of planning.The model fit was good (CFI=0.914, TLI=0.901, RMSEA=0.069, SRMR=0.072). GPS was positively correlated with the total scores of IPS and MBI ( r=0.753, 0.677, both P<0.001). The Cronbach's α coefficient of GPS was 0.864, the folded half reliability was 0.870, and the retest reliability after 4 weeks was 0.756. Conclusion:The GPS has good reliability and validity among middle school students, which provides a standard for measuring the procrastination level of middle school students and carrying out related research.

Major depressive disorder (MDD) has become an increasingly serious public health issue, characterized by high incidence and high disability rates. It often coexists with other mental health problems and physical diseases, with a significant negative impact on patients' quality of life. In clinical practice, MDD is considered a heterogeneous disease. The complexity of the pathological mechanisms and the variability in treatment responses lead to a lack of clear therapeutic targets, which complicates the treatment process. In recent years, with advancements in neuroscience, the crucial role of microglia in the pathogenesis of MDD has been revealed. As the main immune cells in the brain, microglia are not only involved in the regulation of neuroinflammation but also play important roles in neurogenesis and neuronal regulation in MDD. This article mainly discusses the role of microglia in the pathophysiological mechanisms of MDD, aiming to provide a theoretical basis for microglia as a potential target for the treatment of MDD.

Objective:To explore the impact of negative perfectionism on academic procrastination, as well as the mediating role of anxiety and the moderating role of negative cognitive emotion regulation strategies.Methods:In December 2022, a cross-sectional survey was conducted on 4 178 students from a medical college in Heilongjiang Province. The Zi negative perfectionism questionnaire, procrastination assessment scale-student, generalized anxiety disorder-7, and cognitive emotion regulation questionnaire were used to conduct the questionnaire survey, and 4 004 valid questionnaires were recovered. SPSS 26.0 statistical software was used for common method deviation test, descriptive statistics and correlation analysis, PROCESS macro program was used for mediation and moderation effect analysis.Results:(1) The scores of nursing students' negative perfectionism, anxiety, negative cognitive emotion regulation strategy, and academic procrastination were (120.48±23.40), (12.75±5.36), (44.82±11.20), and (42.95±14.30), respectively. (2) Negative perfectionism was positively correlated with anxiety ( r=0.311, P<0.01) and academic procrastination ( r=0.113, P<0.01). Academic procrastination was positively correlated with anxiety ( r=0.190, P<0.01) and negative cognitive emotion regulation strategies ( r=0.260, P<0.01). (3) Anxiety played a partially mediating role between negative perfectionism and academic procrastination, with direct effect and mediating effect accounting for 49.11% (0.055/0.112) and 50.89% (0.057/0.112) of the total effect, respectively. (4) The effect of negative perfectionism on anxiety was moderated by negative cognitive emotions, and the predictive effect of negative perfectionism on anxiety was stronger in nursing college students with high negative cognitive emotion ( β=0.231, P<0.001). Conclusion:Among nursing college students, negative perfectionism can predict academic procrastination through anxiety, and cognitive emotion regulation strategies moderate the predictive effect of negative perfectionism on anxiety.

Objective:To explore the impact of negative perfectionism on academic procrastination, as well as the mediating role of anxiety and the moderating role of negative cognitive emotion regulation strategies.Methods:In December 2022, a cross-sectional survey was conducted on 4 178 students from a medical college in Heilongjiang Province. The Zi negative perfectionism questionnaire, procrastination assessment scale-student, generalized anxiety disorder-7, and cognitive emotion regulation questionnaire were used to conduct the questionnaire survey, and 4 004 valid questionnaires were recovered. SPSS 26.0 statistical software was used for common method deviation test, descriptive statistics and correlation analysis, PROCESS macro program was used for mediation and moderation effect analysis.Results:(1) The scores of nursing students' negative perfectionism, anxiety, negative cognitive emotion regulation strategy, and academic procrastination were (120.48±23.40), (12.75±5.36), (44.82±11.20), and (42.95±14.30), respectively. (2) Negative perfectionism was positively correlated with anxiety ( r=0.311, P<0.01) and academic procrastination ( r=0.113, P<0.01). Academic procrastination was positively correlated with anxiety ( r=0.190, P<0.01) and negative cognitive emotion regulation strategies ( r=0.260, P<0.01). (3) Anxiety played a partially mediating role between negative perfectionism and academic procrastination, with direct effect and mediating effect accounting for 49.11% (0.055/0.112) and 50.89% (0.057/0.112) of the total effect, respectively. (4) The effect of negative perfectionism on anxiety was moderated by negative cognitive emotions, and the predictive effect of negative perfectionism on anxiety was stronger in nursing college students with high negative cognitive emotion ( β=0.231, P<0.001). Conclusion:Among nursing college students, negative perfectionism can predict academic procrastination through anxiety, and cognitive emotion regulation strategies moderate the predictive effect of negative perfectionism on anxiety.

Objective:To investigate the regulatory role of defferentially expressed LOC107987438 in the pathogenesis of depressive disorder and provide a theoretical basis for its clinical application in depressive disorder.Methods:Differential expression of LOC107987438 was verified by quantitative real-time polymerase chain reaction(qRT-PCR)in peripheral blood monocular cells(PBMCs)of 60 patients with depressive disorder and 60 health controls. In addition, its diagnostic value was assessed by receiver operating characteristic(ROC)curves. Based on the ceRNA mechanism of lncRNA, the miRDB database was applied to predict the target miRNAs of LOC107987438, and the miRNAs with target score ≥ 80 among them were screened out.The screened miRNAs were then used to predict their potential target mRNAs through four databases which were TargetScan 8.0, miRTarBase, mirDIP and miRPathDB. Moreover, the predicted target mRNAs were annotated for gene ontology(GO)function annotation and tokoyo encyclopedia of genes and genomes(KEGG) pathway enrichment analysis via ClusterProfiler 4.0.5 package of R 4.1.1. Finally, a protein-protein interaction network was constructed using the STRING 11.5 platform to retrieve the interacting genes.Results:The qRT-PCR results showed that normalized expression of LOC107987438 in PBMCs of patients with depressive disorder was higher than that in health controls(depressive disorder: 2.084±1.357, health controls: 1.000±0.660, P<0.001). The ROC curve results showed that the area under curves(AUC)of LOC107987438 was 0.759(95% CI: 0.675-0.842, P<0.05), indicating its high potential diagnostic value. Bioinformatics analysis showed that hsa-miR-4670-3p, hsa-miR-619-3p, hsa-miR-6721-5p and hsa-miR-297 were the miRNAs with high bindings to LOC107987438. The results of KEGG signaling pathway enrichment revealed that hypoxia-inducible factor 1(HIF-1)signaling pathway, phosphatidylinositol 3-kinase-AKT(PI3K-Akt) signaling pathway and erythroblastic oncogene B(ErbB) signaling pathway were closely associated with depressive disorder. Among the top ten key genes screened by the protein-protein interaction network, kirsten rats arcomaviral oncogene homolog(KRAS), androgen receptor(AR), cyclic-AMP response binding protein1(CREB1), insulin-like growth factor 1(IGF1), cyclin-dependent kinase inhibitor 1B(CDKN1B) and calcium/calmodulin-dependent protein kinase type Ⅱ alpha(CAMK2A)were strongly associated with depressive disorder. Conclusion:The establishment of ceRNA regulatory network of LOC107987438 provides a theoretical basis for exploring the pathophysiology of depressive disorders.

Objective:To investigate the arterial blood pressure levels of fighter pilots and to analyze the risk factors associated with blood pressure in fighter pilots.Methods:A retrospective analysis was conducted on the physical examination data and questionnaire data of the fighter pilots who underwent aeromedical assessment at Air Force Healthcare Center for Special Services Hangzhou. They were divided into hypertension group [SBP≥140 mmHg (1 mmHg=0.133 kPa) and (or) DBP≥90 mmHg], normal high blood pressure group [120 mmHg≤SBP<140 mmHg and (or) 80 mmHg≤DBP<90 mmHg] and normal blood pressure group (SBP<120 mmHg and DBP<80 mmHg) according to the blood pressure level. The differences of physiological and biochemical indicators among the pilots of 3 groups were compared, and the risk factors affecting blood pressure were analyzed by multiple Logistic regression.Results:A total of 414 fighter pilots were included, with 9 (2.17%) in the hypertension group, 274 (66.18%) in the normal high blood pressure group, and 131 (31.64%) in the normal blood pressure group. There were significant differences in age, flying hours, body mass index, waist circumference, fasting plasma glucose, total cholesterol, low-density lipoprotein cholesterol, and blood uric acid among the pilots of different blood pressure groups ( F=2.97-11.08, all P<0.05), but no significant difference in HDL-C ( P>0.05). The risk factors for increased the blood pressure of fighter pilots included alcohol consumption ( OR=9.865, P=0.021), salt consumption ( OR=8.971, P=0.033), blood uric acid ( OR=1.013, P=0.046), BMI ( OR=1.431, P=0.001) and waist circumference ( OR=1.340, P=0.039). The protective factor was the consumption of vegetables and fruits ( OR=0.623, P=0.033). Conclusions:High sodium diet, overweight or obesity, excessive alcohol consumption, increased blood uric acid and low consumption of vegetables and fruits may be the risk factors result in high blood pressure of fighter pilots.

Objective:To investigate the arterial blood pressure levels of fighter pilots and to analyze the risk factors associated with blood pressure in fighter pilots.Methods:A retrospective analysis was conducted on the physical examination data and questionnaire data of the fighter pilots who underwent aeromedical assessment at Air Force Healthcare Center for Special Services Hangzhou. They were divided into hypertension group [SBP≥140 mmHg (1 mmHg=0.133 kPa) and (or) DBP≥90 mmHg], normal high blood pressure group [120 mmHg≤SBP<140 mmHg and (or) 80 mmHg≤DBP<90 mmHg] and normal blood pressure group (SBP<120 mmHg and DBP<80 mmHg) according to the blood pressure level. The differences of physiological and biochemical indicators among the pilots of 3 groups were compared, and the risk factors affecting blood pressure were analyzed by multiple Logistic regression.Results:A total of 414 fighter pilots were included, with 9 (2.17%) in the hypertension group, 274 (66.18%) in the normal high blood pressure group, and 131 (31.64%) in the normal blood pressure group. There were significant differences in age, flying hours, body mass index, waist circumference, fasting plasma glucose, total cholesterol, low-density lipoprotein cholesterol, and blood uric acid among the pilots of different blood pressure groups ( F=2.97-11.08, all P<0.05), but no significant difference in HDL-C ( P>0.05). The risk factors for increased the blood pressure of fighter pilots included alcohol consumption ( OR=9.865, P=0.021), salt consumption ( OR=8.971, P=0.033), blood uric acid ( OR=1.013, P=0.046), BMI ( OR=1.431, P=0.001) and waist circumference ( OR=1.340, P=0.039). The protective factor was the consumption of vegetables and fruits ( OR=0.623, P=0.033). Conclusions:High sodium diet, overweight or obesity, excessive alcohol consumption, increased blood uric acid and low consumption of vegetables and fruits may be the risk factors result in high blood pressure of fighter pilots.