ObjectiveTo explore the effect and mechanism of tumor necrosis factor alpha （TNF-α）-regulated circular RNA Williams Beuren syndrome chromosomal region 22 （circWBSCR22） on the malignant behaviors of cervical cancer cells. MethodsHuman cervical cancer HeLa cells were treated with TNF-α. Reverse transcription quantitative polymerase chain reaction （RT-qPCR） was used to detect the expression level of circWBSCR22. Nuclear-cytoplasmic RNA separation experiments were conducted to determine the localization of circWBSCR22 in cells. Cell migration， invasion， viability， and proliferation were assessed through Transwell assay， tetrazolium salt （MTT） assay， and colony formation assay， respectively. Dual-luciferase reporter gene assays were performed to verify the targeting relationship between microRNA-512-5p （miR-512-5p） and circWBSCR22 or family with sequence similarity 60A （FAM60A）. RT-qPCR was used to detect the RNA levels of miR-512-5p and FAM60A. Western blot was used to detect the protein level of FAM60A. ResultsCompared with the Control group， the expression level of circWBSCR22 in HeLa cells treated with TNF-α increased （P<0.05）. About 66% of circWBSCR22 was found in the cytoplasm. Compared with the control group， the migration （P<0.01） and invasion （P<0.01） of HeLa cells transfected with circWBSCR22 were enhanced， but the cell activity and cell proliferation were not significantly affected （P>0.05）. The double luciferase reporter gene assay showed that the relative luciferase activity of the co transfected circWBSCR22-WT and miR-512-5p groups was lower than that of the co transfected circWBSCR22-WT and miR-NC groups （P<0.01）. Compared with the control group， the expression level of miR-512-5p in HeLa cells transfected with circWBSCR22 decreased （P<0.01）. Compared with the control group， the migration （P<0.01） and invasion （P<0.05） ability of HeLa cells transfected with miR-512-5p decreased. Double luciferase reporter gene assay showed that compared with the co transfected FAM60A 3´-UTR-WT and miR-NC groups， the fluorescence activity of the co transfected FAM60A 3´-UTR-WT and miR-512-5p groups decreased （P<0.01）.Compared with the control group， the expression levels of FAM60A mRNA （P<0.05） and protein （P<0.01） in HeLa cells transfected with miR-512-5p decreased. Compared with the control group， the migration （P<0.01） and invasion （P<0.01） of cervical cancer HeLa cells transfected with FAM60A were enhanced. Compared with the control group， the expression levels of FAM60A mRNA （P<0.01） and protein （P<0.05） in the cells transfected with circWBSCR22 increased. The results of rescue experiment showed that compared with the pcDNA+miR-NC group， the expression levels of FAM60A RNA （P<0.01） and protein （P<0.001） in the pcDNA+miR-512-5p group decreased， and the ability of migration （P<0.01） and invasion （P<0.05） decreased； Compared with pcDNA+miR-512-5p group， the expression levels of FAM60A RNA （P<0.01） and protein （P<0.001） in circWBSCR22+miR-512-5p group increased， and the ability of migration （P<0.01） and invasion （P<0.05） was enhanced. ConclusionTNF-α promotes the migration and invasion of cervical cancer cells through the circWBSCR22/miR-512-5p/FAM60A regulatory axis.

ObjectiveA multiplex amplification system was constructed based on the capillary electrophoresis platform for simultaneous detection of saliva, semen, and vaginal secretions using tissue-specific RNA markers. The aim of this study is to identify the tissue origin of suspicious body fluid stains found at crime scenes and determine whether the body fluid stains at the crime scene are one or several types among saliva, semen, and vaginal secretions. MethodsThirty saliva samples, forty semen samples, and forty vaginal secretion samples (half from 2015 and half from 2024) were collected from healthy adult volunteers. Through primer designing, system formulation, and PCR condition optimization, a multiplex fluorescent amplification system was constructed. The specificity, sensitivity, and detection ability for mixed samples of this system were investigated, and it was tested using real crime scene materials. In the primer design stage, to reduce the requirements for RNA template quality, the amplification products were set within 80-300 bp. In the system formulation stage, dominant and subordinate primers were mainly considered. By reducing the concentration of dominant primers and increasing that of subordinate primers, a capillary electrophoresis spectrum with an appropriate peak height ratio was finally obtained. Additionally, gradient experiments were designed to adjust the concentrations of PCR reagents and PCR amplification conditions, and multiple versions of DNA amplification enzymes were optimized to achieve the best experimental results. ResultsThrough statistical analysis, there was no significant difference in the capillary electrophoresis of the 3 types of body fluid samples from the two years (2015 and 2024), demonstrating that the sample preservation method in this study can preserve samples for a relatively long time. The composite amplification system constructed in this study exhibited high specificity for all 3 types of body fluid, with no cross-reactions between the markers of each type of body fluid. The minimum detection thresholds for the 3 types of body fluid reached 0.002 9, 0.001 5, and 0.42 mg/L, respectively. This system also had a high degree of discrimination for mixed samples, especially for semen-saliva mixtures, where each body fluid marker could still be successfully detected when the concentration ratio of semen to saliva was 100:1. Meanwhile, in the two actual cases presented in this article, the application of this composite amplification system performed outstandingly. ConclusionThe composite amplification detection system constructed in this study can achieve the correct screening of saliva, semen, and vaginal secretions, overcoming the problems such as low specificity and sensitivity of marker tests and unbalanced RFU values of each marker in previous studies. The specificity and sensitivity meet the practical work requirements, and the operation is simple. It provides an analytical and identification method for body fluid stains in actual case and is applicable to the identification of the tissue origin of biological evidence at crime scenes involving sexual assault, indecent assault, and other criminal acts. In the future, more types of body fluid markers will be screened to expand the types of body fluids detected by the system, and body fluid-specific cSNP and cInDel genetic markers will be introduced to infer the sources (individuals and types) of mixed and complex stains more accurately.

Drug repurposing offers a promising alternative to traditional drug development and significantly reduces costs and timelines by identifying new therapeutic uses for existing drugs. However, the current approaches often rely on limited data sources and simplistic hypotheses, which restrict their ability to capture the multi-faceted nature of biological systems. This study introduces adaptive multi-view learning (AMVL), a novel methodology that integrates chemical-induced transcriptional profiles (CTPs), knowledge graph (KG) embeddings, and large language model (LLM) representations, to enhance drug repurposing predictions. AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning (MVL), matrix factorization, and ensemble optimization techniques to integrate heterogeneous multi-source data. Comprehensive evaluations on benchmark datasets (Fdataset, Cdataset, and Ydataset) and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art (SOTA) methods, achieving superior accuracy in predicting drug-disease associations across multiple metrics. Literature-based validation further confirmed the model's predictive capabilities, with seven out of the top ten predictions corroborated by post-2011 evidence. To promote transparency and reproducibility, all data and codes used in this study were open-sourced, providing resources for processing CTPs, KG, and LLM-based similarity calculations, along with the complete AMVL algorithm and benchmarking procedures. By unifying diverse data modalities, AMVL offers a robust and scalable solution for accelerating drug discovery, fostering advancements in translational medicine and integrating multi-omics data. We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Drug repurposing offers a promising alternative to traditional drug development and significantly re-duces costs and timelines by identifying new therapeutic uses for existing drugs.However,the current approaches often rely on limited data sources and simplistic hypotheses,which restrict their ability to capture the multi-faceted nature of biological systems.This study introduces adaptive multi-view learning(AMVL),a novel methodology that integrates chemical-induced transcriptional profiles(CTPs),knowledge graph(KG)embeddings,and large language model(LLM)representations,to enhance drug repurposing predictions.AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning(MVL),matrix factorization,and ensemble optimization techniques to integrate heterogeneous multi-source data.Comprehensive evaluations on benchmark datasets(Fdata-set,Cdataset,and Ydataset)and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art(SOTA)methods,achieving superior accuracy in predicting drug-disease associations across multiple metrics.Literature-based validation further confirmed the model's predictive capabilities,with seven out of the top ten predictions corroborated by post-2011 evidence.To promote transparency and reproducibility,all data and codes used in this study were open-sourced,providing resources for pro-cessing CTPs,KG,and LLM-based similarity calculations,along with the complete AMVL algorithm and benchmarking procedures.By unifying diverse data modalities,AMVL offers a robust and scalable so-lution for accelerating drug discovery,fostering advancements in translational medicine and integrating multi-omics data.We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

OBJECTIVE: To analyze the results of prenatal diagnosis for fetuses with a high risk for sex chromosome aneuploidies (SCAs) indicated by non-invasive prenatal testing (NIPT), and to assess the influence of maternal chromosomal factors on the results of NIPT. METHODS: A retrospective analysis was conducted on the clinical data of 454 pregnant women with a high risk for SCAs indicated by NIPT undergoing invasive prenatal diagnosis at the Medical Genetics Center of Northwest Women's and Children's Hospital from January 2022 to September 2024. The data has included prenatal diagnosis indications, results, pregnancy outcomes, and the chromosomal results of pregnant women. RESULTS: Among the 454 women (including 10 with twin pregnancy) with a high risk for SCAs indicated by NIPT, 149 (including 4 twin cases) were diagnosed with SCAs through invasive prenatal diagnosis. These had included 47,XXX (37 cases), 47,XXY (56 cases), 47,XYY (29 cases), 45,X (1 case), 48,XXYY (1 case), mosaicism (20 cases), sex chromosome structural abnormalities (6 cases), and small-scale pathogenic copy number variations (3 cases). 383 pregnant women (including 7 with twin pregnancy) had accepted chromosomal karyotyping analysis. In total 49 cases of SCAs abnormalities were detected. Among them, 41 cases were pregnant women with SCAs but normal fetal chromosomes, which yielded a false positive rate for NIPT caused by maternal factors by 10.7%. In addition, 8 cases (including 1 twin case) had SCAs abnormalities in both the pregnant woman and the fetus. Among the 383 pregnant women, 129 cases (including 3 twin cases) of fetal SCAs were diagnosed, which yielded an overall positive predictive value (PPV) of NIPT for SCAs by 33.7% (129/383). With the 41 false positive cases caused by maternal SCAs abnormalities excluded, the PPV of NIPT for SCAs will be increased to 37.7% (129/342). Among the 454 pregnant women, twin pregnancies have accounted for 2.2% (10/454). Among the confirmed cases of SCAs abnormalities, twin cases accounted for 2.7% (4/149). Among the 383 pregnant women undergoing chromosomal karyotyping, twin cases accounted for 1.8% (7/383). Among the detected cases of chromosomal abnormalities, twin cases accounted for 2.0% (1/49). By calculation, the proportion of singleton pregnant women with a high risk for SCAs indicated by NIPT was approximately 32.1%, and the proportion of twin pregnant women was approximately 38.6%, indicating that twin pregnancies could increase the positive rate of NIPT. CONCLUSION NIPT can improve the screening efficiency for SCAs, but its PPV is limited. Therefore, pregnant women with a high risk for SCAs indicated by NIPT need to undergo invasive prenatal diagnosis for a definite diagnosis, and twin pregnancies can increase the positive rate of NIPT. The study confirmed that chromosomal abnormalities in pregnant women can significantly affect the accuracy of NIPT in detecting fetal SCAs. Therefore, when NIPT indicates SCAs abnormalities, it is recommended to simultaneously conduct chromosomal testing on the pregnant women. The combined application of chromosomal karyotyping analysis, fluorescence in situ hybridization, and copy number variation detection techniques can significantly improve the diagnostic accuracy for SCAs, especially for the detection of mosaicisms.
Humans ; Female ; Pregnancy ; Sex Chromosome Aberrations ; Adult ; Retrospective Studies ; False Positive Reactions ; Prenatal Diagnosis/methods* ; Noninvasive Prenatal Testing/methods* ; Aneuploidy ; Male ; Sex Chromosome Disorders/genetics*

OBJECTIVE: To assess the association between the single nucleotide polymorphisms (SNP) rs174575 and rs2845574 of the fatty acid desaturase 2 (FADS2) gene and gestational diabetes mellitus (GDM). METHODS: A total of 1 514 pregnant women who visited West China Second University Hospital of Sichuan University between January 1, 2013 and December 31, 2021 were enrolled in this study. Among them, 583 were diagnosed with gestational diabetes mellitus (GDM group), and 931 had normal pregnancies (control group). The SNPs rs174575 and rs2845574 of the FADS2 gene were analyzed using Sanger DNA sequencing. Plasma levels of insulin (INS), apolipoprotein A1 (apoA1) and apolipoprotein B (apoB) were measured using enzymatic methods, chemiluminescence and immunoturbidimetry. This study was approved by the Medical Ethics Committee of the West China Second University Hospital of Sichuan University (Ethics No.: 2020-036). RESULTS: The main genotype at the rs174575 C/G and rs2845574 C/T loci were CC in both GDM and control groups. No significant difference was found between the GDM and control groups regarding the genotypic or allelic frequencies of rs174575 and rs2845574 sites (P > 0.05). Among the GDM group, individuals with the GG genotype at the rs174575 site had lower plasma HDL-C levels compared to those with the CC genotype (P < 0.05), and had higher atherogenic indices (AI) compared with the CC and CG genotype (P < 0.05; P < 0.05). Individuals with the TT genotype at the rs2845574 site had higher AI compared with the CT genotype (P < 0.05). Among the control group, individuals with the GG genotype had lower diastolic blood pressure (DBP) compared to those with the CC genotype (P < 0.05). Additional subgroup analysis demonstrated that the rs174575 polymorphism was associated with AI levels in obesity subgroup of GDM, TG levels in non-obese subgroup of control and DBP levels in the obese subgroup of control (P < 0.05; P < 0.05; P < 0.05). CONCLUSION The FADS2 rs174575 and rs2845574 polymorphisms in GDM patients are associated wit HDL-C and AI levels, and the FADS2 rs174575 polymorphisms was also associated with DBP levels in normal pregnant women. The AI and DBP levels have a BMI-dependent effect.
Humans ; Female ; Pregnancy ; Fatty Acid Desaturases/genetics* ; Polymorphism, Single Nucleotide ; Adult ; Diabetes, Gestational/blood* ; Blood Pressure/genetics* ; Lipids/blood* ; Genotype ; Genetic Predisposition to Disease

Objective To observe the ultrasound biomicroscopy(UBM)findings of lacrimal canaliculitis.Methods Totally 35 patients with single eye lacrimal canaliculitis who underwent surgical treatment were retrospectively enrolled,including 3 cases of simple superior lacrimal tubule abnormalities,19 cases of simple inferior lacrimal tubule abnormalities and 13 cases with both superior and inferior lacrimal tubules.UBM data and postoperative laboratory examination results were comparatively analyzed.Results The detection rate of UBM for lacrimal canaliculitis was 100％.Abnormal coenobium-like structures in lacrimal tubule were characterized by elliptical or irregular low echo,with unclear boundaries and uneven internal echo,some with punctate high echoes,while polyps presented as oval or strip-shaped high echo with clear boundaries and uniform internal echoes in UBM.UBM findings of tumor like hyperplasia were similar to abnormal coenobium-like structures but with relatively uniform internal echoes.Sulfur particles extracted from lacrimal tubule revealed no fungi in 35 cases by postoperation pathology,while actinomycete was observed in 24 cases,with UBM finding of abnormal coenobium-like structures and punctate high echoes.Conclusion UBM findings of lacrimal canaliculitis had certain characteristics.Coenobium-like structures and punctate high echoes in lacrimal tubule could be observed after infection of actinomycete.

With the rapid advancements in pancreatic cancer diagnosis and treatment research,the Chinese Society of Clinical Oncology(CSCO)has released two editions of pancreatic cancer diagnosis and treatment guidelines in 2022 and 2024.The present article systematic-ally compares the differences between the two editions in terms of diagnostic stratification,treatment pathways,and supportive manage-ment.By integrating insights from cutting-edge international research,the scientific rationale and clinical value of the underlying guideline revisions are explored.Clinicians are encouraged to adopt the new guidelines to dynamically assess the biological characteristics and treat-ment tolerance of patients,thereby formulating personalized diagnosis and treatment plans that ultimately lead to the synergistic enhance-ment of both survival benefits and quality of life for patients.

Dentofacial deformity is a disorder of the volume and morphological structure of the jaws and the positional relationship between the maxilla and mandible caused by abnormal development of the jaws, which is manifested by abnormal facial morphology, malocclusion and dysfunction of the stomatognathic system. Orthognathic surgery is an important means of treating dentofacial deformity, and the development of specialized nursing plans for orthognathic surgery needs to be developed based on the diagnostic and treatment characteristics and needs of different disease courses. This article proposed recommended nursing practices as a means of constructing a specialized nursing model for orthognathic surgery and providing standardized management for orthognathic patients throughout the entire cycle by reviewing previous literature and summarizing the nursing practice experience of our hospital in treating more than 3 000 patients undergoing orthognathic surgery and classify clinical nursing evidence according to the Oxford Evidence Grading Standards. The model is divided into three main phases: prehospital early referral care, in-hospital intensive care, and posthospital extended care, and contains five modules: case management, psychological intervention, nutritional guidance, management of complications, and functional recovery. In the pre-hospital early referral care stage, the specific nursing measures include digital surgical design, psychological care, and nutritional guidance; in the in-hospital cluster care stage, the specific nursing measures include four modules, such as management of complications, orofacial functional recovery, nutritional instructions, and psychological interventions; and in the post-hospital extended care stage, the patients need to be provided with case management, psychological guidance, nutritional guidance, and other nursing care. Post-hospital extended care stage, need to provide patients with case management, psychological guidance, nutritional guidance and other care.

To evaluate the therapeutic effect of baicalein topical preparation on atopic dermatitis, we first constructed two atopic dermatitis-like mouse models induced by calcipotriol and 1-fluoro-2,4-dinitrobenzene to assess their therapeutic effect with skin tissue staining and other experiments. It was found that topical preparation of baicalein could alleviate epidermal thickening of diseased skin tissues, repair damaged skin barrier proteins, and inhibit T helper 2 cells (Th2) infiltration and mast cell infiltration and activation in lesional sites. Cyberpharmacology was utilized to analyze whether baicalein could treat atopic dermatitis by interfering with multiple pathogenesis-associated pathways. Results indicated that baicalein reduced the mRNA levels of inflammatory factors and inhibited the phosphorylation of NF-κB p65 and STAT1 proteins in keratinocyte cells. Together, the topical preparation of baicalein may be effective in alleviating atopic dermatitis-like symptoms in mice by down-regulating the phosphorylation level of NF-κB in keratinocytes, thereby decreasing the expression of inflammatory factors in keratinocytes, which provides an idea and a theoretical basis for the topical preparation of baicalein for the treatment of inflammatory skin diseases such as atopic dermatitis.