OBJECTIVES: To construct vocal recognition classification models using 6 machine learning algorithms and vocal emotional characteristics of individuals with subthreshold depression to facilitate early identification of subthreshold depression. METHODS: We collected voice data from both normal individuals and participants with subthreshold depression by asking them to read specifically chosen words and texts. From each voice sample, 384-dimensional vocal emotional feature variables were extracted, including energy feature, Meir frequency cepstrum coefficient, zero cross rate feature, sound probability feature, fundamental frequency feature, difference feature. The Recursive Feature Elimination (RFE) method was employed to select voice feature variables. Classification models were then built using the machine learning algorithms Adaptive Boosting (AdaBoost), Random Forest (RF), Linear Discriminant Analysis (LDA), Logistic Regression (LR), Lasso Regression (LRLasso), and Support Vector Machine (SVM), and the performance of these models was evaluated. To assess generalization capability of the models, we used real-world speech data to evaluate the best speech recognition classification model. RESULTS: The AdaBoost, RF, and LDA models achieved high prediction accuracies of 100%, 100%, and 93.3% on word-reading speech test set, respectively. In the text-reading speech test set, the accuracies of the AdaBoost, RF, and LDA models were 90%, 80%, and 90%, respectively, while the accuracies of the other 3 models were all below 80%. On real-world word-reading and text-reading speech data, the classification models using AdaBoost and Random Forest still achieved high predictive accuracies (91.7% and 80.6% for AdaBoost and 86.1% and 77.8% for Random, respectively). CONCLUSIONS Analyzing vocal emotional characteristics allows effective identification of individuals with subthreshold depression. The AdaBoost and RF models show excellent performance for classifying subthreshold depression individuals, and may thus potentially offer valuable assistance in the clinical and research settings.
Humans ; Machine Learning ; Emotions ; Depression/diagnosis* ; Algorithms ; Voice ; Support Vector Machine ; Male ; Female

OBJECTIVES: To investigate the therapeutic mechanism of Wendan Decoction for phlegm syndrome in rats with metabolic syndrome (MS). METHODS: Forty Wistar rats were randomly divided into normal control group (n=8) and 3 phlegm syndrome model groups (induced by high-fat, high-sugar, and high-salt feeding and a single-dose intraperitoneal STZ injection; n=24) treated with daily gavage of saline, Wendan Decoction (3.6 g/kg), or metformin (0.1 g/kg) for 4 weeks. General conditions and glucose and lipid metabolism parameters of the rats were monitored, and serum LPS, liver histopathology, hepatic expressions of FXR, CYP7A1 and FGFR4 and ileal expressions of FXR and FGF15 were examined. Gut microbiota structure was analyzed using 16S rDNA sequencing, and serum bile acids were quantified with UHPLC-MS/MS. RESULTS: The rat models of phlegm syndrome exhibited severe hepatic steatosis and necrosis, increased body weight, abdominal circumference, Lee's index, FBG, FINS, HOMA-IR, TG, TC, LDL and LPS, and decreased HDL level. The abundance of Bacteroidetes, Megamonas, and Bacteroides in gut microbiota increased while Firmicutes, Lachnospiraceae_NK4A136_group, isohyodeoxycholic acid, and glycohyodeoxycholic acid decreased significantly; hepatic FXR and FGFR4 expressions and ileal FXR and FGF15 expressions decreased while hepatic CYP7A1 expression increased significantly in the rat models. Treatment with Wendan Decoction effectively alleviated hepatic pathology, reduced body weight and abdominal circumference, improved glucose and lipid metabolic profiles and gut microbiota structure, and reversed the changes in hepatic and ileal protein expressions. Correlation analysis revealed that Firmicutes and Lachnospiraceae_NK4A136_group were positively correlated while Bacteroidetes, Megamonas and Bacteroides were negative correlated with the levels of isohyodeoxycholic acid and hyodeoxycholic acid. CONCLUSIONS Wendan Decoction can significantly improve metabolic profiles in rats with phlegm syndrome of MS possibly by regulating the intestinal flora-bile acid axis to modulate the intestinal flora structure and maintain bile acid homeostasis via the FXR signaling pathway.
Animals ; Gastrointestinal Microbiome/drug effects* ; Metabolic Syndrome/microbiology* ; Bile Acids and Salts/metabolism* ; Rats, Wistar ; Drugs, Chinese Herbal/therapeutic use* ; Rats ; Male ; Fibroblast Growth Factors/metabolism* ; Liver/metabolism* ; Cholesterol 7-alpha-Hydroxylase/metabolism* ; Receptors, Cytoplasmic and Nuclear/metabolism*

OBJECTIVE To investigate the changes in high performance liquid chromatography （HPLC） fingerprint spectra and nucleoside components between Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine and its processed product Succus bambusae pinella preparata， providing a reference for the quality evaluation of the latter. METHODS HPLC fingerprint was established for 10 batches of Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine and its processed product Succus bambusae pinella preparata following the Similarity Evaluation System of TCM Chromatographic Fingerprints （2012 Edition）. Hierarchical cluster analysis （HCA）， principal component analysis （PCA）， and orthogonal partial least squares-discriminant analysis （OPLS- DA） were conducted on their common peaks. The contents of four nucleoside components， hypoxanthine， uridine， adenine， and guanosine， in both Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine and Succus bambusae pinella preparata were determined. RESULTS The similarity between the fingerprints of the 10 batches of Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine， Succus bambusae pinella preparata， and their corresponding reference fingerprints ranged from 0.851 to 0.990. A total of 10 common peaks were obtained for both samples， and 4 components were identified as hypoxanthine， uridine， adenine， and guanosine. The results of HCA， PCA and OPLS-DA showed that the samples of Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine and Succus bambusae pinella preparata were clustered into separate categories， with OPLS-DA selecting 4 differential components between them， ranked by variable importance projection values as peak 8， peak 1， peak 6 （adenine） and peak 10. The content determination results showed that the average contents of hypoxanthine， uridine， adenine and guanosine in Succus bambusae pinella preparata declined by 15.90%， 12.00%， 26.04% and 22.18% compared to Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine， respectively， with statistically significant differences in the contents of hypoxanthine， adenine and guanosine （P＜0.05 or P＜0.01）. CONCLUSIONS The established fingerprint and content determination methods are simple to operate and have good repeatability， which are suitable for qualitative and quantitative analysis of Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine and Succus bambusae pinella preparata. The average contents of the four nucleoside components decreased after the processing of Succus bambusae pinella preparata.

OBJECTIVE To extract and isolate the four chemical components of Yao medicine Ventilago leiocarpa， and to conduct identification and content determination for them. METHODS The chemical components of V. leiocarpa were separated and purified by solvent extraction， extraction， silica gel column chromatography and preparative liquid chromatography； then the chemical structures of four isolated compounds were identified based on their spectral data. The contents of four components were determined by high performance liquid chromatography（HPLC）-quantitative analysis of multi-components by single-marker （QAMS） method， with the following chromatographic conditions： chromatographic column was Echway GowonTM C18 （250 mm× 4.6 mm， 5 μm）. The mobile phase was acetonitrile-0.1% phosphoric acid for gradient elution； the detection wavelength was 269 nm， and the column temperature was 25 ℃ . Using emodin as internal reference， the relative correction factors （fi/s） between emodin and the other 3 components were established and used to calculate the content. At the same time， the content of each component was calculated with the external standard method （ESM）， and the differences between these two methods were compared. RESULTS Four compounds were isolated from V. leiocarpa， and they were identified as emodin， frangulin A， pleuropyrone A， emodin-8-O-β-D-glucoside. The result of HPLC-QAMS showed that the fi/s of pleuropyrone A， emodin-8-O-β-D- glucoside and frangulin A were 1.147 2， 0.874 7 and 0.644 4， respectively. The content of these four components was measured as a good linearity （r≥0.999 6）； relative standard deviation （RSD） of precision， stability and reproducibility tests were all lower than 2.00%， and average recoveries were E-mail：dearhuangjianyou@126.com 99.41%-100.46%（RSD≤2.05%）. There was no significant difference between QAMS method and ESM （RSD＜3.00%）. CONCLUSIONS Emodin， frangulin A， pleuropyrone A and emodin- 8-O-β-D-glucoside are isolated from V. leiocarpa； among them， the last three components are all isolated from for the first time. The established HPLC-QAMS method is accurate and reliable for the determination of 4 components in V. leiocarpa， and can used for quality control of V. leiocarpa.

Objective·To analyze infertility couples,dyadic coping level by using latent profile analysis(LPA),and explore the heterogeneity and related factors of different profiles.Methods·From September to November 2023,257 newly diagnosed infertility couples in pre-infertility treatment with assisted reproductive technology(ART)were recruited from Reproductive Medicine Center,Renji Hospital,Shanghai Jiao Tong University School of Medicine.All couples were evaluated by using general information questionnaire,Fertility Problem Inventory(FPI),Dyadic Coping Inventory(DCI),and Fertility Quality of Life(FertiQoL)Tool.LPA was used to explore the dyadic coping profiles of the couples before ART treatment,and general information,FPI scores and FertiQoL scores were compared among the profiles.Multinomial Logistic regression analysis was used to explore the related factors of different profiles.Results·A total of 257 couples with infertility were included,with an average age of(30.15±3.07)years for females,(31.82±3.82)years for males,(3.75±2.16)years for marriage,and(2.90±1.92)years for infertility;there were 118 couples caused by male infertility,109 couples caused by female infertility,and 30 couples caused by both infertility;the average DCI score for males was(128.25±19.15)points,while for females it was(129.91±18.32)points.According to the dyadic coping levels,the infertile couples were divided into four profiles:common positive coping group(153 couples,59.5％),common negative coping group(85 couples,33.1％),male positive coping group(12 couples,4.7％),and male negative coping group(7 couples,2.7％).There were statistically significant differences in the infertile couples'age,FPI score,FertiQoL score,and remarriage rate among the four profiles(P＜0.05).Multinomial Logistic regression analysis results showed that,with the common positive coping group as the reference,the common negative coping group had older men(OR=1.122,95％CI 1.004-1.254,P=0.036),higher FPI scores for both males and females(male:OR=1.019,95％CI 1.003-1.035,P=0.018;female:OR=1.020,95％CI 1.004-1.036,P=0.015),and lower FertiQol scores for males(OR=0.966,95％CI 0.937-0.996,P=0.029).Conclusion·There are four types of dyadic coping profiles in infertile couples before ART treatment.Compared with the common positive coping couples,higher reproductive pressure,elder age,and lower perceived fertility quality of life of males,and higher reproductive pressure of females are all risk factors for common negative coping couples.

Objective To analyze the occupational health status of radiation workers in Guangdong Province. Methods A total of 8 913 radiation workers who underwent occupational medical examination (OME) in Guangdong Province Hospital for Occupational Disease Prevention and Treatment in 2020 were selected as the exposure group, and 2 024 non-radiological workers who underwent health examination in the same hospital in the same period of time were selected as the control group using convenient sampling method. The study analyzed the prevalence of abnormalities in thyroid, eye lens, blood pressure, complete blood count and micronucleus in individuals of the two groups. Results The abnormal rates of eye lens, blood pressure and complete blood count in the radiation workers in the exposure group were higher than those in the control group (23.3% vs 8.0%, 18.6% vs 9.0%, 18.1% vs 8.5%, all P<0.01). However, there was no significant difference in the abnormal rates of thyroid and micronucleus in workers between these two groups (12.8% vs 11.5%, 0.1% vs 0.0%, all P>0.05). The abnormal rates of thyroid, eye lens and blood pressure in radiation workers increased with the exposure period of radiation (all P<0.05). Conclusion Long-term exposure to low-dose ionizing radiation have certain effects on the thyroid, eye lens, and blood pressure of radiation workers, with a time-effect relationship of years of radiation work.

Objective To investigate the predictive value of serum ferritin(SF)and glycated haemoglobin(HbA1c)in the occurrence of adverse perinatal outcomes in pregnant women with gestational diabetes melli-tus(GDM).Methods A total of 97 pregnant women with GDM who underwent antenatal examination and gave birth in Qionglai Maternal and Child Health Hospital from March 2021 to February 2023 were selected as observation group,and another 116 healthy pregnant women who came to the hospital for prenatal examina-tion were concurrently selected as control group.The fasting blood glucose(FBG),SF and HbA1c were com-pared between two groups,and the clinical characteristics,SF and HbA1c levels were compared among women with different perinatal outcomes.Then the influencing factors of adverse perinatal outcomes in GDM preg-nant women were identified,and the value of serum SF and HbA1c in predicting adverse perinatal outcomes in GDM pregnant women was determined.Results FBG,triglycerides(TG),total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C),SF,and HbA1c were elevated in observation group compared to control group,and the differences were statistically significant(P＜0.05).FBG,TG,TC,SF,and HbA1c were higher in poor perinatal outcome group than in good perinatal outcome group,and the differences were statistically significant(P＜0.05).Multivariate Logistic regression analysis denoted that FBG,TG,TC,SF and HbA1c were independent influencing factors for adverse perinatal outcomes(P＜0.05).Receiver operating character-istic(ROC)curve analysis indicated that the area under the curve of single detection and combined detection of SF and HbA1c in predicting the adverse perinatal outcomes in GDM were 0.741(95％CI:0.638-0.844),0.685(95％CI:0.570-0.800)and 0.874(95％CI:0.797-0.951),respectively.Conclusion SF and HbA1c are abnormally elevated in pregnant women with GDM,and SF combined with HbA1c has certain predictive value for perinatal outcomes of pregnant women with GDM.

Objective To investigate the predictive value of serum ferritin(SF)in early gestation,pre-pregnancy body mass index(BMI)and gestational age for gestational diabetes mellitus(GDM).Methods A total of 260 pregnant women who had a routine prenatal examination in Wenzhou People's Hospital were collected from January 2021 to December 2022.Fasting venous blood was collected at the first prenatal examination(within 14 weeks'gestation)for SF.According to the results of 75 grams oral glucose tolerance test(OGTT)between 24 weeks and 28 weeks,they were divided into GDM group(n=62)and normal glucose tolerance(NGT)group(n=198).The general clinical data of the two groups were compared;Multivariate Logistic regression analysis was conducted to determine the independent risk factors of GDM.Receiver operating characteristic(ROC)curve was used to further analyze the predictive value of SF in early gestation,pre-pregnancy BMI and gestational age for GDM.Results Pregnant women in GDM group had higher SF,BMI and gestational age in early pregnancy than those of NGT group(P<0.05).Pre-pregnancy BMI,gestational age and SF increased in early pregnancy were independent risk factors for GDM(P<0.05).The area under the curve(AUC)of SF in early pregnancy as well as pre-pregnancy BMI and gestational age for predicting GDM were 0.612,0.691 and 0.664.The best tangent point values were 94.045ng/ml,21.125kg/m2 and 28.500 years old,respectively.The total AUC of ROC predicted GDM by SF in early gestation,pre-pregnancy BMI and gestational age was 0.750,the sensitivity and specificity were 66.1%and 79.3%,respectively.Conclusion SF in early gestation,pre-pregnancy BMI and gestational age are important factors in the development of GDM,the combined detection of SF in early pregnancy,pre-pregnancy BMI and gestational age has a certain predictive value for GDM.

OBJECTIVE: To assess the value of copy number variations (CNVs) and chromosomal karyotyping analysis for patients with intellectual disability/developmental delay (ID/DD). METHODS: Chromosomal karyotype analysis was applied to 530 children diagnosed with ID/DD. Single nucleotide polymorphism array (SNP-array) was further applied for 120 children with unknown etiology. RESULTS: Among the 530 children with ID/DD, 104 (19.62%) were detected with chromosomal abnormalities. For the 120 children analyzed by SNP-array, 44 (36.67%) were detected with CNVs, among which 20 were predicted as pathogenic, 6 as likely pathogenic, 10 as variants of unknown significance, 7 as likely benign,and 1 as loss of heterozygosity. CONCLUSION SNP-array can facilitate delineation of the etiology of patients with ID/DD, which may provide a basis for their prognosis, consultation and clinical intervention.
Child ; Chromosome Aberrations ; DNA Copy Number Variations ; Developmental Disabilities/genetics* ; Humans ; Intellectual Disability/genetics* ; Karyotyping

Objective:To analyze the differences and similarities of pre-treatment and post-treatment lung microbiome of acute respiratory distress syndrome (ARDS) and find out the change rules of the lung microbiome in the progression of ARDS according to different prognosis.Methods:A retrospective study was conducted. Patients with ARDS caused by severe pneumonia admitted to intensive care unit (ICU) of Jiangmen Central Hospital from February 2019 to January 2020 were enrolled as the study subjects. The patients were divided into pre-treatment (ARDS-preT) group (24 cases), post-treatment survival (ARDS-poT-Survival) group (17 cases), and post-treatment death (ARDS-poT-Dead) group (7 cases). ICU patients with mild pulmonary infection and non-ARDS admitted to ICU during the same period were enrolled as control group (25 cases). The similarities and differences of lung microbiome in four groups were analyzed and compared, and the possible pathogenic bacteria (potential risk factors for death) and probiotics (potential survival and protective factors) related to death caused by ARDS were screened.Results:In terms of pathogenic microorganisms, the positive rates of Escherichia coli and Candida albicans in the ARDS-poT-Dead group were significantly higher than those in the ARDS-poT-Survival group [57.1% (4/7) vs. 5.9% (1/17) and 57.1% (4/7) vs. 0% (0/7), both P < 0.05]. In the screening of background bacteria, the decrease of bacteria in the ARDS-preT group compared with the ARDS-poT-Survival group, the ARDS-poT-Dead group compared with the ARDS-poT-Survival group, the ARDS-poT-Dead group compared with the control group, the reduced bacteria might be pulmonary probiotics (potential protective factor for ARDS). The screening result was Hydrobacter [ARDS-preT group vs. ARDS-poT-Survival group: 62.5% (15/24) vs. 94.1% (16/17); ARDS-poT-Dead group vs. ARDS-poT-Survival group: 14.3% (1/7) vs. 94.1% (16/17); ARDS-poT-Dead vs. control: 14.3% (1/7) vs. 96.0% (24/25), all P < 0.05]. In the screening of background bacteria, the increase of bacteria in the ARDS-poT-Dead group compared with the ARDS-preT group, the ARDS-poT-Dead group compared with the ARDS-poT-Survival group, the ARDS-poT-Dead group compared with the control group, and the increased bacteria might be potential pulmonary pathogen (potential risk factor for death of ARDS), which belonged to Enterobacteria: Edwardsiella, Enterobacteriaceae, Escherichia, Klebsiella, Kluyvera, Lelliottia, Pantoea, Raoultella. Conclusions:The results revealed the increase of Escherichia coli or Candida albicans in pulmonary pathogenic microorganisms, or the increase of Enterobacteria in background bacteria may be the risk factors for the death of ARDS. Additionally, background bacteria Hydrobacter probably is a protective factor for the survival of ARDS. Whether it can be used as a novel treatment for ARDS is worth further investigation.