ObjectiveTo investigate the mechanisms by which the combination of berberine （BBR） and baicalin （BAI） ameliorates type 2 diabetes mellitus （T2DM） due to internal accumulation of dampness-heat from the perspectives of gut microbiota and metabolomics. MethodsAntibiotics were used to induce pseudo-sterile mice. Thirty pseudo-sterile mice were randomized into a normal fecal microbiota transplantation group （n=10） and a T2DM （syndrome of internal accumulation of dampness-heat） fecal microbiota transplantation group （n=20）. The mice were then administrated with suspensions of fecal microbiota from healthy volunteers and a patient with T2DM due to internal accumulation of dampness-heat by gavage， respectively. Each mouse received 200 µL suspension every other day for a total of 15 times to reshape the gut microbiota. The T2DM model mice were then assigned into a model group （n=8） and a BBR-BAI group （n=11）. BBR was administrated at a dose of 200 mg·kg^-1， and BAI was administrated in a ratio of BBR-BAI 10∶1 based on preliminary research findings. The administration lasted for 8 consecutive weeks. Fasting blood glucose （FBG）， glycated hemoglobin （HbA1c）， insulin （INS）， triglycerides （TG）， total cholesterol （CHOL）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） levels were measured to evaluate the effects of the BBR-BAI combination on glucose and lipid metabolism and liver function in T2DM mice. Hematoxylin-eosin staining was employed to observe pathological changes in the colon tissue. The expression of claudin-1， zonula occludens-1 （ZO-1）， and occludin in the colon tissue was determined by Western blot. Real-time quantitative polymerase chain reaction（Real-time PCR） was employed to assess the levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） in the colon tissue. The fecal microbiota composition and differential metabolites were analyzed by 16S rRNA sequencing and ultra-high performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry （UPLC-Q-TOF-MS）， respectively. ResultsThe BBR-BAI combination lowered the FBG， HbA1c， and INS levels （P<0.05， P<0.01） and alleviated insulin resistance （P<0.01） in T2DM mice. Additionally， BBR-BAI elevated the levels of ZO-1， occludin， and claudin-1 （P<0.05， P<0.01） and down-regulated the expression levels of TNF-α， IL-1β， and IL-6 in the colon （P<0.05， P<0.01）. The results of 16S rRNA sequencing showed that BBR-BAI increased the relative abundance of Ligilactobacillus， Phascolarctobacterium， and Akkermansia （P<0.05）， while significantly decreasing the relative abundance of Alistipes， Odoribacter， and Colidextribacter （P<0.05）. UPLC-Q-TOF-MS identified 28 differential metabolites， which were primarily involved in arachidonic acid metabolism and α-linolenic acid metabolism. ConclusionBBR-BAI can ameliorate T2DM due to internal accumulation of dampness-heat by modulating the relative abundance of various bacterial genera in the gut microbiota and the expression of fecal metabolites.

Depression,as a severe psychological and psychiatric disorder,significantly impairs the long-term physical and mental health of patients.Current depression detection methods are plagued by strong subjectivity,limited techniques,and inadequate intelligence.Previous studies have mostly relied on single-modal signal analysis,making it difficult to comprehensively reflect the multidimensional characteristics of depression.Based on the independently developed intelligent depression detection system,wearable devices are used to collect prefrontal dual-lead EEG signals,PPG signals,and single-lead ECG signals.Data from 30 patients with depression and 40 healthy controls are collected and analyzed.A multimodal depression recognition model named RBLF-Net is proposed,which integrates spatiotemporal features,weighted attention,and random forests to utilize the multi-signal features for depression recognition.The model exhibits superior performance in the five-fold cross-validation,achieving a classification accuracy of 81.43%,a precision of 81.02%,and a recall rate of 81.25%,outperforming other comparative models,and thus providing an intelligent analysis approach for depression recognition from the perspective of multi-modal fusion.

Objective To analyze changes in intestinal microbiota composition and metabolites in mice with nitrous oxide poisoning using 16S rDNA sequencing and metabolomics,and to examine correlations between gut microbes and metabolites in order to explore the mechanisms of nitrous oxide poisoning.Methods C57BL/6 mice were randomly divided into a control group and a nitrous oxide poisoning group(n=6).The poisoning group was exposed to 90,000 ppm nitrous oxide twice daily for 1 h over 28 days,while the control group was exposed to air.Fecal samples were collected 24 h after the last exposure.16S rDNA sequencing was used to analyze structural differences in microbial communities and identify significantly different taxa.Metabolomics analysis was performed to detect changes in fecal metabolites and identify differential metabolites.Correlation analysis was conducted between differential microbiota and metabolites.Results 16S rDNA sequencing showed that the poisoning group had increased microbial abundance compared with controls,while species diversity remained unchanged.Significant differences were observed in gut microbiota structure between groups.Metabolomics identified 112 differential metabolites related to nitrous oxide poisoning,mainly involving the cAMP signaling pathway and sphingolipid metabolism.Spearman correlation analysis revealed a strong association between differential microbiota and differential metabolites.Conclusion Nitrous oxide poisoning alters the structure and metabolic profiles of intestinal microbiota.Changes in microbial abundance affect multiple metabolic pathways,which may be related to damage to the nervous and hematological systems.These findings provide a basis for further research on the mechanisms of nitrous oxide poisoning and for clinical treatment.

Objective Piperazine derivatives are a group of emerging psychoactive substances with excitatory and hallucinogenic effects on the central nervous system.This study established a high-performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)screening method for the detection of 40 piperazine compounds in urine.Methods A 200 μL urine sample(spiked with an internal standard at 1 ng/mL)was subjected to liquid-liquid extraction with ethyl acetate.After nitrogen evaporation,the residue was redissolved in 200 μL methanol and injected for analysis.Separation was performed on a Waters Acquity UPLC? HSS T3 column(100 mm × 2.1 mm,1.8 μm).The mobile phase consisted of(A)20 mmol/L ammonium acetate buffer containing 0.1％formic acid and 5％acetonitrile,and(B)acetonitrile.Gradient elution was applied,and detection was carried out in multiple reaction monitoring(MRM)mode.Quantification was achieved using an internal standard calibration curve.Results The 40 piperazine substances demonstrated good linearity within the range of 1-50 ng/mL,with correlation coefficients of 0.995-0.998.The extraction recovery ranged from 51.51％to 104.1％.Intra-day precision was below 5％,while inter-day precision ranged from 1.61％to 10.17％.Accuracy was between-7.84％and 8.77％.The limits of detection were 0.2-1 ng/mL,and the limit of quantification was 1 ng/mL.Conclusion The proposed method requires only a small sample volume,exhibits high sensitivity,selectivity,and stability,and offers short run times.It is suitable for the qualitative and quantitative determination of piperazine derivatives in urine in forensic toxicology practice.

Bone tissue engineering(BTE)is expected to be used as an autologous bone graft substitute for bone defects,and in the se-lection of BTE scaffold materials,collagen(Col)and hydroxyapatite(HA)have attracted attention due to their unique biomimetic ad-vantages.Collagen/hydroxyapatite(CHA)composite scaffolds made by combining the two have been shown to have excellent biocompat-ibility and bone-enhancing potential in various in vitro,in vivo,and clinical studies.With the development of three-dimensional(3D)printing technology in the field of tissue engineering,bone scaffolds constructed using 3D printing methods have been shown to possess superior clinical potential.This review describes new advances in 3D printed CHA composite scaffolds and introduces the application of 3D printed CHA scaffolds in oral and maxillofacial bone regenerative repair.

Objective:To investigate gut microbiota differences between individuals with and without colorectal adenoma(CRA)and to identify gut microbes associated with CRA.Methods:This cross-sectional study analyzed the gut microbiota of 100 patients with CRA and 68 individuals without CRA(aged 40-75 years)who underwent colonoscopies between March 2021 and March 2022 at Tianjin Nankai Hospital.Fecal samples were sequenced for the V3-V4 region of the bacterial 16S rRNA gene using the Illumina NovaSeq platform.Results:Compared to the non-CRA group,the CRA group exhibited reduced relative abundances of identified and unidentified Lachnospiraceae,with increased Faecalibacterium and Streptococcus.In the non-CRA group,the relative abundances of Coprococcus,unidentified Clostridiaceae,and Clostridium were higher.LEfSe analysis revealed significant enrichment of Gammaproteobacteria,Proteobacteria,Enterobacteriales,and Faecalibacterium in the CRA group,while the non-CRA group was enriched for Moraxellaceae,Acinetobacter,and Anaerostipes.Conclusions:These findings suggest a discernible disparity in the gut microbiota structure between CRA patients and individuals without adenoma.The enrichment of potential pathogenic taxa,such as Faecalibacterium and Streptococcus,in the CRA group suggests a possible association with adenoma development.

Depression,as a severe psychological and psychiatric disorder,significantly impairs the long-term physical and mental health of patients.Current depression detection methods are plagued by strong subjectivity,limited techniques,and inadequate intelligence.Previous studies have mostly relied on single-modal signal analysis,making it difficult to comprehensively reflect the multidimensional characteristics of depression.Based on the independently developed intelligent depression detection system,wearable devices are used to collect prefrontal dual-lead EEG signals,PPG signals,and single-lead ECG signals.Data from 30 patients with depression and 40 healthy controls are collected and analyzed.A multimodal depression recognition model named RBLF-Net is proposed,which integrates spatiotemporal features,weighted attention,and random forests to utilize the multi-signal features for depression recognition.The model exhibits superior performance in the five-fold cross-validation,achieving a classification accuracy of 81.43%,a precision of 81.02%,and a recall rate of 81.25%,outperforming other comparative models,and thus providing an intelligent analysis approach for depression recognition from the perspective of multi-modal fusion.

Objective To analyze changes in intestinal microbiota composition and metabolites in mice with nitrous oxide poisoning using 16S rDNA sequencing and metabolomics,and to examine correlations between gut microbes and metabolites in order to explore the mechanisms of nitrous oxide poisoning.Methods C57BL/6 mice were randomly divided into a control group and a nitrous oxide poisoning group(n=6).The poisoning group was exposed to 90,000 ppm nitrous oxide twice daily for 1 h over 28 days,while the control group was exposed to air.Fecal samples were collected 24 h after the last exposure.16S rDNA sequencing was used to analyze structural differences in microbial communities and identify significantly different taxa.Metabolomics analysis was performed to detect changes in fecal metabolites and identify differential metabolites.Correlation analysis was conducted between differential microbiota and metabolites.Results 16S rDNA sequencing showed that the poisoning group had increased microbial abundance compared with controls,while species diversity remained unchanged.Significant differences were observed in gut microbiota structure between groups.Metabolomics identified 112 differential metabolites related to nitrous oxide poisoning,mainly involving the cAMP signaling pathway and sphingolipid metabolism.Spearman correlation analysis revealed a strong association between differential microbiota and differential metabolites.Conclusion Nitrous oxide poisoning alters the structure and metabolic profiles of intestinal microbiota.Changes in microbial abundance affect multiple metabolic pathways,which may be related to damage to the nervous and hematological systems.These findings provide a basis for further research on the mechanisms of nitrous oxide poisoning and for clinical treatment.

Objective Piperazine derivatives are a group of emerging psychoactive substances with excitatory and hallucinogenic effects on the central nervous system.This study established a high-performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)screening method for the detection of 40 piperazine compounds in urine.Methods A 200 μL urine sample(spiked with an internal standard at 1 ng/mL)was subjected to liquid-liquid extraction with ethyl acetate.After nitrogen evaporation,the residue was redissolved in 200 μL methanol and injected for analysis.Separation was performed on a Waters Acquity UPLC? HSS T3 column(100 mm × 2.1 mm,1.8 μm).The mobile phase consisted of(A)20 mmol/L ammonium acetate buffer containing 0.1％formic acid and 5％acetonitrile,and(B)acetonitrile.Gradient elution was applied,and detection was carried out in multiple reaction monitoring(MRM)mode.Quantification was achieved using an internal standard calibration curve.Results The 40 piperazine substances demonstrated good linearity within the range of 1-50 ng/mL,with correlation coefficients of 0.995-0.998.The extraction recovery ranged from 51.51％to 104.1％.Intra-day precision was below 5％,while inter-day precision ranged from 1.61％to 10.17％.Accuracy was between-7.84％and 8.77％.The limits of detection were 0.2-1 ng/mL,and the limit of quantification was 1 ng/mL.Conclusion The proposed method requires only a small sample volume,exhibits high sensitivity,selectivity,and stability,and offers short run times.It is suitable for the qualitative and quantitative determination of piperazine derivatives in urine in forensic toxicology practice.

Objective:To explore the influence of value orientation brief therapy (VBT) on anxiety and depression symptoms, social function, coping style and self-acceptance level of major depressive disorder adolescents with anxious distress.Methods:From June 2021 to June 2022, seventy adolescent major depressive disorder patients with anxious distress were included in the study, who were randomly divided into study group(35 people, 31 people completed)and control group (35 people, 30 people completed). The study group was given routine treatment combined with VBT, while the control group was given routine treatment only. Before and after treatment, Hamilton anxiety scale(HAMA), Hamilton depression scale (HAMD), social disability screening schedule (SDSS), coping style questionnaire(CSQ) and self-acceptance questionnaire (SAQ) were used to evaluate the two groups, and SPSS 26.0 software was used to statistically analyze the data of the two groups. Paired sample t-test was used for intra-group comparison, and independent sample t-test was used for inter-group comparison. Results:After 6 weeks of treatment, the scores of HAMA((6.03±3.58) vs (14.03±7.06), t=5.55, P<0.01), HAMD((8.77±5.52 ) vs (16.50±7.59), t=4.56, P<0.01)and SDSS((4.23±1.50) vs (6.63±0.96), t=7.43, P<0.01)in the study group were significantly lower than those in the control group, the differences were statistically significant. The scores of self-acceptance((19.23±1.33) vs (13.47±1.46), t=-16.12, P<0.01)and self-evaluation ((19.87±2.87) vs (12.77±1.68), t=-11.75, P<0.01) in the SAQ scale and the scores of problem-solving((8.71±2.30) vs (6.23±3.45), t=3.31, P<0.05) and rationalization ((6.20±3.11) vs (4.67±2.43), t=2.13, P<0.05) in the CSQ questionnaire were significantly higher than those in the control group, the differences were statistically significant. The total effective rate of the study group(90.3%(28/31) vs 66.7%(20/30), χ2=5.09, P<0.05) was significantly higher than that of the control group, the difference was statistically significant. Conclusion:The effect of routine treatment combined with VBT is better, which can effectively improve anxiety and depression symptoms, social function and coping style, and enhance self-acceptance and self-evaluation in adolescent major depressive disorder patients, which is worthy of clinical application.