Objective: To explore the relationship between non suicidal self injury (NSSI) behavior and serum lipid levels as well as thyroid function among college students with depression. Methods: A total of 169 college students with depression in the psychiatry departments of tertiary hospitals (grade 3A and 3B) in Ningbo from December 2023 to April 2025 were selected. The Adolescent Self injury Scale (ASIS) was used to assess the presence of NSSI, and participants were accordingly divided into a NSSI group ( n =51) and a non NSSI group ( n =118). General demographic data (including gender, age, and family situation) were collected from both groups. Blood tests were performed to measure lipid profiles [triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C)] and thyroid hormones [triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), free thyroxine (FT4), thyroid stimulating hormone (TSH)]. Multivariate Logistic regression was employed to analyze risk factors for NSSI, and receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of serum lipid and thyroid hormone levels for NSSI occurrence in college students with depression. Results: The levels of TC, LDL-C, and TSH in the NSSI group were (4.02±0.73) mmol/L, (2.32±0.36) mmol/L, and (6.57±1.95) mU/L , which were significantly higher than those in the non NSSI group [(3.41±0.56) mmol/L, (2.00±0.27) mmol/L, and ( 4.48± 1.09) mU/L, respectively] ( t =5.32, 5.60, 7.20, all P <0.05). Logistic regression analysis revealed that college students from single parent/reconstituted families, those who had experienced school bullying, and those with higher levels of TC, LDL-C, and TSH had a significantly increased risk of engaging in NSSI ( OR =5.22, 6.12, 5.90, 83.64, 3.64, all P <0.05). ROC curve analysis demonstrated that the combined detection of TC, LDL-C, and TSH had high diagnostic efficacy for predicting NSSI in college students with depression, with a sensitivity of 86.3% and a specificity of 94.9%. Conclusions NSSI behavior in college students with depression is associated with serum lipid levels and thyroid function. These biomarkers may serve as useful reference indicators for assessing the conditions of these patients.

OBJECTIVE: To observe the clinical effect and safety of Jiuci renmai therapy (moxibustion and acupuncture on the conception vessel) combined with bladder function training in treatment of post-stroke neurogenic bladder (PSNB). METHODS: Sixty patients with PSNB were randomly divided into an observation group and a control group, 30 cases in each group. On the basis of conventional treatment with western medication, bladder function training was delivered in the control group, once a day for 4 weeks. In the observation group, Jiuci renmai therapy was supplemented besides the regimen as the control group. The main acupoints were Guanyuan (CV4), Zhongji (CV3), Qihai (CV6) and Qugu (CV2); and the supplementary acupoints were Henggu (KI11), Zhongwan (CV12), Xiawan (CV10) and Shuifen (CV9). Warm needling and moxibustion were operated, once every other day, for 4 weeks. Separately, before treatment and in 2 and 4 weeks of treatment, the urodynamic parameters were detected in the two groups, including maximal urine flow rate (Qmax), maximal detrusor pressure (PdetQmax), residual urine volume (RUV), maximal bladder capacity in the filling phase (MCC), and maximal intravesical pressure in the voiding phase (Pvesmax); the voiding parameters (the average daily number of micturition, urinary leakage episodes, and single voiding volume) were recorded; neurogenic bladder symptom score (NBSS), lower urinary tract symptom score (LUTS) and the score of quality of life scale for incontinence of urine (I-QoL) were evaluated, as well as the clinical effect and safety in the two groups. RESULTS: In 2 and 4 weeks of treatment, Qmax, PdetQmax, MCC, Pvesmax, and average daily single voiding volume were increased compared with the levels before treatment in each group (P<0.05), and the above indexes in the observation group were higher than those of the control group (P<0.05). RUV, the average daily number of micturition, urinary leakage episode, NBSS and LUTS scores of the two groups were reduced in comparison with those before treatment (P<0.05 ), and these indexes in the observation group were lower than those of the control group (P<0.05). In 4 weeks of treatment, the average urinary leakage episode was reduced largely in comparison with the control group (P<0.05); and the improvement in RUV for the patients with retention of urine in the observation group was superior to the control group (P<0.05). In 4 weeks of treatment, the score of each dimension in I-QoL and the total score were elevated compared with those before treatment in the two groups (P<0.05), and the scores in the observation were higher when compared with the control group (P<0.05). The total effective rate in the observation group was 90.0% (27/30) which was higher than 70.0% (21/30) of the control group (P<0.05). The incidence of adverse reactions was 3.3% (1/30) in the observation group, which was not significantly different from that in the control group [10.0% (3/30), P>0.05]. CONCLUSION The combination of Jiuci renmai therapy and bladder function training can effectively alleviate clinical symptoms, recover bladder voiding function, and improve the quality of life in the patients with PSNB, presenting the favorable safety profile in treatment.
Humans ; Female ; Male ; Middle Aged ; Urinary Bladder, Neurogenic/etiology* ; Urinary Bladder/physiopathology* ; Adult ; Aged ; Stroke/complications* ; Acupuncture Therapy ; Acupuncture Points ; Treatment Outcome ; Combined Modality Therapy ; Moxibustion

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective To analyze the anatomical characteristics of the azygos lobe in the right upper lung using three-dimensional CT reconstruction.Methods This retrospective study analyzed 92 patients diag-nosed with azygos lobe in the right upper lung through thin-section chest CT at the First Affiliated Hospital of Chongqing Medical University from March 2016 to March 2019.Three-dimensional reconstruction models were utilized to statistically analyze the trajectories of bronchi and vessels in the azygos lobe,and to evaluate the anatomical structures of the right upper lobe in these patients.Results According to the classification based on the origin of the azygos lobe bronchi and the number of lobar bronchi,the unibranched type was pre-dominant,accounting for 76.1%(70/92),with most azygos lobe bronchi originating from B1b or B1a.Regard-ing arterial origin classification,the unibranched type remained dominant at 72.8%(67/92),primarily origina-ting from A1a,followed by A1b and A1a.Most azygos lobe veins drained into V1a(68 cases,73.9%),while the remainder drained into V1b(24 cases,26.1%).There were six branching patterns of right upper lobe bronchi,with the trifurcated type(B1-B2-B3)being the most common anatomical configuration at 53.3%(49/92).The mean volume of the azygos lobe was(62 869.36±45 097.76)cm3,smaller than the average volume of other pulmonary segments.Patients with larger azygos lobe volumes generally had dual bronchial branches,with a mean volume of(120 421.41±25 294.04)cm3,whereas unibranched azygos lobes showed a mean volume of(43 685.34±31 697.77)cm3.Conclusion The pulmonary anatomical structure of the azygos lobe demon-strates and multitype variations in complexity,and may exhibit extremely rare anatomical variants.

Background The active metabolite of benzo[a]pyrene (BaP), 7,8-dihydroxy-9,10-epoxybenzo[a]pyrene (BPDE), can form adducts with DNA, but the spectrum of BPDE-DNA adducts is unclear. Objective To identify the distribution of BPDE adduct sites and associated genes at the whole-genome level by chromatin immunoprecipitation followed by sequencing (ChIP-Seq), and serve as a basis for further exploring the toxicological mechanisms of BaP. Methods Human bronchial epithelial-like cells (16HBE) were cultured to the fourth generation inthe logarithmic growth phase. Cells were harvested and added to chromatin immunoprecipitation lysis buffer. The lysate was divided into experimental and control groups. The experimental group received a final concentration of 20 μmol·L⁻¹ BPDE solution, while the control group received an equivalent volume of dimethyl sulfoxide solution. The cells were then incubated at 37 °C for 24 h. Chromatin fragments of 100-500 bp were obtained through sonication. BPDE-specific antibody (anti-BPDE 8E11) was used to enrich DNA fragments with BPDE adducts. High-throughput sequencing was conducted to detect BPDE adduct sites. The top 1000 peak sequences were subjected to motif analysis using MEME and DREME software. BPDE adduct target genes at the whole-genome level were annotated, and Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of BPDE adduct target genes were conducted using bioinformatics techniques. Results The high-throughput sequencing detected a total of 842 BPDE binding sites, distributed across various chromosomes. BPDE covalently bound to both coding and non-coding regions of genes, with 73.9% binding sites located in intergenic regions, 19.6% in intronic regions, and smaller proportions in upstream 2 kilobase, exonic, downstream 2 kilobase, and 5' untranslated regions. Regarding the top 1000 peak sequences, four reliable motifs were identified, revealing that sites rich in adenine (A) and guanine (G) were prone to binding. Through the enrichment analysis of binding sites, a total of 199 BPDE-adduct target genes were identified, with the majority located on chromosomes 1, 5, 7, 12, 17, and X. The GO analysis indicated that these target genes were mainly enriched in nucleic acid and protein binding, participating in the regulation of catalytic activity, transport activity, translation elongation factor activity, and playing important roles in cell division, differentiation, motility, substance transport, and information transfer. The KEGG analysis revealed that these target genes were primarily enriched in pathways related to cardiovascular diseases, cancer, and immune-inflammatory responses. Conclusion Using ChIP-Seq, 199 BPDE adduct target genes at genome-wide level are identified, impacting biological functions such as cell division, differentiation, motility, substance transport, and information transfer. These genes are closely associated with cardiovascular diseases, tumors, and immune-inflammatory responses.

Background and objective Transcription factor(TF)can bind specific sequences that either promotes or represses the transcription of target genes,and exerts important effects on tumorigenesis,migration,invasion.Staphylococcal nuclease-containing structural domain 1(SND1),which is a transcriptional co-activator,is considered as a promising target for tumor therapy.However,its role in lung adenocarcinoma(LUAD)remains unclear.This study aims to explore the role of SND1 in LUAD.Methods Data from The Cancer Genome Atlas(TCGA),Gene Expression Omnibus(GEO),Clinical Pro-teomic Tumor Analysis Consortium(CPTAC),and Human Protein Atlas(HPA)database was obtained to explore the associa-tion between SND1 and the prognosis,as well as the immune cell infiltration,and subcellular localization in LUAD tissues.Furthermore,the functional role of SND1 in LUAD was verified in vitro.EdU assay,CCK-8 assay,flow cytometry,scratch assay,Transwell assay and Western blot were performed.Results SND1 was found to be upregulated and high expression of SND1 is correlated with poor prognosis of LUAD patients.In addition,SND1 was predominantly present in the cytoplasm of LUAD cells.Enrichment analysis showed that SND1 was closely associated with the cell cycle,as well as DNA replication,and chro-mosome segregation.Immune infiltration analysis showed that SND1 was closely associated with various immune cell popula-tions,including T cells,B cells,cytotoxic cells and dendritic cells.In vitro studies demonstrated that silencing of SND1 inhib-ited cell proliferation,invasion and migration of LUAD cells.Besides,cell cycle was blocked at G,phase by down-regulating SND1.Conclusion SND1 might be an important prognostic biomarker of LUAD and may promote LUAD cells proliferation and migration.

MiRNAs are a class of small non-coding RNAs,which regulate gene expression post-transcriptionally by partial complementary base pairing.Aberrant miRNA expressions have been reported in tumor tissues and peripheral blood of cancer patients.In recent years,artificial intelligence algorithms such as machine learning and deep learning have been widely used in bioinformatic research.Compared to traditional bioinformatic tools,miRNA target prediction tools based on artificial intelligence algorithms have higher accuracy,and can successfully predict subcellular localization and redistribution of miRNAs to deepen our understanding.Additionally,the construction of clinical models based on artificial intelligence algorithms could significantly improve the mining efficiency of miRNA used as biomarkers.In this article,we summarize recent development of bioinformatic miRNA tools based on artificial intelligence algorithms,focusing on the potential of machine learning and deep learning in cancer-related miRNA research.

Objective:To explore the use of near-infrared autofluorescence probe (NIRAF-P) and its application in identifying parathyroid glands during surgery.Methods:A total of 68 patients undergoing thyroid surgery at Peking Union Medical College Hospital and Beijing Longfu Hospital between Dec. 2023 and Jun. 2024 were selected. During the operation, the near-infrared parathyroid gland detector was used to identify the parathyroid gland tissue to be tested, and histopathological examination was performed. The positive predictive value and accuracy of the near-infrared parathyroid gland detector were analyzed.Results:A total of 111 parathyroid glands were identified in 68 patients, and the positive predictive value and accuracy of the NIRAF-P were 95.5% and 94.6%, respectively.Conclusions:The NIRAF-P has high accuracy in identifying parathyroid glands. The standardized application of the NIRAF-P can help improve the efficiency of identifying parathyroid glands during surgery.

Objective:To investigate grey matter volume changes and their correlation with the severity of anxiety in adolescents with major depressive disorder (MDD) accompanied by anxious distress specifier (ADS).Methods:From June 2022 to June 2023, totally 71 inpatients with MDD in the child and adolescent psychiatry department of Anhui Mental Health Center were included. According to the definition of ADS in the DSM-5, MDD adolescents were divided into the group with anxious distress (MDD/ADS+ group, n=44) and the group without anxious distress (MDD/ADS- group, n=27). Healthy adolescents matched in terms of gender, age, education level were recruited as the control group (HC group, n=19). Voxel-based morphometry (VBM) was used to compare changes in grey matter volume among the three groups.Grey matter volume values of brain regions with significant differences between the MDD/ADS+ group and MDD/ADS- group were collected, and their correlation with Hamilton anxiety rating scale (HAMA) score were analyzed by Pearson correlation analysis using SPSS 26.0 software. Results:Compared to the MDD/ADS- group, the MDD/ADS+ group showed a significant decrease in grey matter volume in the right dorsolateral prefrontal cortex (MNI: x=16.5, y=34.5, z=52.5, t=4.48, P<0.05) and the right cerebellum (MNI: x=49.5, y=-69.0, z=-24.0, t=5.18, P<0.05). In MDD adolescents, the grey matter volumes of the right dorsolateral prefrontal cortex and the right cerebellum were negatively correlated with HAMA score ( r=-0.249, -0.491, both P<0.05). Conclusion:In adolescents with MDD accompanied by ADS, a decrease in gray matter volume is observed in the right dorsolateral prefrontal cortex and the right superior cerebellum. These brain regions may serve as potential biological markers for the severity of anxiety in adolescents with MDD.