Objective: To investigate the status of condom use and its influencing factors among men who have sex with men (MSM), so as to provide a basis for improving condom utilization rates and AIDS prevention and control in this population. Methods: From May to October 2024, a snowball sampling method was employed to recruit MSM in Songjiang District, Shanghai Municipality. Self-administered questionnaires were used to collect data on demographic characteristics, AIDS-related knowledge, sexual behaviors, pre-exposure prophylaxis (PrEP) and post-exposure prophylaxis (PEP), and condom use in the past six months. Multivariable logistic regression model was used to analyze the influencing factors for consistent condom use. Results: A total of 921 MSM were surveyed, with a median age of 29.00 (interquartile range, 9.00) years. Among them, 697 (75.68%) were aware of AIDS-related knowledge, 826 (89.69%) expressed willingness to use PrEP, and 835 (90.66%) were willing to use PEP. Additionally, 787 (85.45%) MSM reported their age at first homosexual intercourse as ≥18 years, while 519 (56.35%) reported consistent condom use in the past six months. Multivariable logistic regression analysis revealed that MSM who were aware of AIDS-related knowledge (OR=0.582, 95% CI: 0.423-0.801), willing to use PrEP (OR =0.611, 95% CI: 0.385-0.969), and whose age at first homosexual intercourse was <18 years (OR=0.480, 95% CI: 0.330-0.700) were less likely to consistent use condoms. Conclusion The proportion of consistent condom use among the MSM remains relatively low, which is primarily associated with AIDS-related knowledge, willingness to use PrEP, and the age at first homosexual intercourse.

OBJECTIVE: To explore the application value of artificial intelligence (AI)-assisted chromosomal karyotype analysis in the diagnosis of prenatal chromosomal mosaicism. METHODS: A retrospective analysis was conducted on 172 pregnant women who underwent amniocentesis at the Department of Medical Genetics and Prenatal Diagnosis, the Third Affiliated Hospital of Zhengzhou University between January 2019 and December 2024. All cases whose fetuses were diagnosed with chromosomal mosaicism via karyotype analysis and stratified into two groups based on the analytical software employed: the conventional analysis group (n = 70), which utilized Leica analysis software for karyotype image recognition and cell counting; and the AI-assisted analysis group (n = 102), which utilized AI-assisted software for the same procedures. The clinical performance of AI-assisted karyotype analysis in diagnosing chromosomal mosaicism was comprehensively evaluated by comparing the types of mosaic karyotypes, distribution of mosaic ratios, and verification outcomes of different detection modalities between the two groups. This study was approved by the Medical Ethics Committee of the Third Affiliated Hospital of Zhengzhou University (Ethics No.: 2024-406-01). RESULTS: No statistically significant difference was observed in baseline characteristics (maternal age, gestational week, and indications for prenatal diagnosis) between the two groups. Regarding the detection efficacy for numerical and structural mosaicisms, no significant difference was found in the detection of numerical mosaicism. However, the conventional analysis group exhibited a significantly higher detection rate of autosomal structural mosaicism compared to the AI-assisted group (11.43% vs. 0.98%, P < 0.05). Numerical mosaicism cases were further verified using copy number variation sequencing (CNV-seq) and/or fluorescence in situ hybridization (FISH). The AI-assisted group demonstrated a significantly lower inconsistency rate (5.56% vs. 20.41%, P < 0.05) compared to the conventional group. For low-proportion (< 10%) chromosomal mosaicism, the AI-assisted group had a significantly lower detection rate (13.25% vs. 29.69%, P < 0.05). Subsequent validation of low-proportion mosaicism by CNV-seq and/or FISH showed a higher consistency rate in the AI-assisted group (81.82% vs. 54.55%), though the difference did not reach statistical significance (P = 0.360). CONCLUSION For the karyotyping analysis of prenatal chromosomal mosaicism, AI-assisted karyotype analysis shows high accuracy and consistency in identifying numerical chromosomal mosaicism, particularly in reducing the detection of low-proportion (< 10%) mosaicism while improving verification accuracy. AI-assisted analysis can significantly improve the detection accuracy of numerical mosaicism and mitigate the risk of misclassification for low-proportion (< 10%) mosaicism, thereby providing more precise clinical evidence for the prenatal diagnosis of chromosomal mosaicisms.
Humans ; Female ; Mosaicism ; Pregnancy ; Karyotyping/methods* ; Artificial Intelligence ; Prenatal Diagnosis/methods* ; Adult ; Retrospective Studies ; Chromosome Disorders/genetics* ; Amniocentesis

Metabolic associated fatty liver disease （MAFLD） is a chronic liver disease with a rapidly increasing incidence rate worldwide， and its complex pathogenesis is closely associated with O-linked β-N-acetylglucosamine （O-GlcNAc） modification. As a dynamic and reversible post-translational modification of proteins， O-GlcNAc modification is mainly regulated by O-GlcNAc transferase and O-GlcNAcase. O-GlcNAc modification can drive hepatic steatosis， exacerbate insulin resistance， and impair mitochondrial function， thereby leading to the aggravation of metabolic disorders， promoting inflammation response， and driving the progression of MAFLD to metabolic associated steatohepatitis and hepatic fibrosis. This article systematically reviews the latest research advances in the role of O-GlcNAc modification in the development and progression of MAFLD， in order to provide theoretical support and research direction for a deeper understanding of the pathological mechanism of MAFLD and the development of effective therapeutic strategies.

To analyze global trends and research hotspots in exercise intervention for overweight and obesity from 2010 to 2024, to provide novel perspectives for comprehensive management research on overweight and obesity.

Objective:To investigate the effects of Zhibai Dihuang Pills on neurons of cognitive dysfunction in D-galactose (D-gal) model mice.Methods:Totally 60 male mice were divided into four groups using a random number table method: control group, model group, donepezil group, and Zhibai Dihuang Pills group, with 15 mice in each group. Except for the control group, the other groups were subcutaneously injected with D-galactose solution at a dosage of 125 mg/kg once a day for 8 weeks to prepare the aging model. Mice in the donepezil group were intragastrically administered donepezil solution at a dosage of 0.65 mg/kg, and those in the Zhibai Dihuang Pills group were intragastrically administered Zhibai Dihuang Pills solution at a dosage of 1.56 g/kg. The control group was intragastrically administered an equal volume of physiological saline once a day for 8 weeks. The object recognition test and Morris Water Maze were used to assess object recognition memory and spatial learning memory abilities of mice in each group, respectively. Hematoxylin-Eosin (HE) staining and Nissl staining were employed to observe the morphology of neurons in the hippocampal region; Golgi staining was used to observe neuronal dendritic spines; Western Blot was used to detect the protein expression levels of PI3K, p-Akt/Akt, glycogen synthase kinase 3β (GSK3β), postsynaptic density protein-95 (PSD-95), and synaptophysin (SYP) in the hippocampus region; RT-qPCR was performed to detect mRNA expression of PI3K, Akt and GSK3β in the hippocampus region.Results:Compared with the model group, the recognition index in both the donepezil group and the Zhibai Dihuang Pills group increased ( P<0.05), the escape latency was shortened ( P<0.05), the platform crossings times and the target quadrant dwell time increased ( P<0.05), the number of nerve cells in the hippocampal region increased, arranged closely, the number of Nissl bodies increased, the morphology returned to normal, and the density of dendritic spines increased; the protein expressions of PI3K, PSD-95, and SYP in the hippocampal region and the ratio of p-Akt/Akt increased ( P<0.01), the mRNA level of PI3K increased ( P<0.01 or P<0.05), and the protein and mRNA levels of GSK3β decreased ( P<0.01 or P<0.05). Conclusion:Zhibai Dihuang Pills can improve the learning and memory ability and rescue neuronal damage in D-gal model mice, and the mechanism may be related to the activation of PI3K/Akt pathway and the restoration of synaptic connections.

Objective:Based on the best evidence, formulate the review indicators to promote the initiation and establishment of maternal lactation and carry out clinical review, analyze the barriers and promoting factors of the clinical application of evidence, and formulate countermeasures.Methods:Evidence-based nursing research was used to identify clinical problems, build evidence-based group, systematically search, evaluate and synthesize evidence. On September 1,2023 to December 31 in Affiliated Hospital of Jiangsu University document and delivery of maternal investigation, in Ottawa research application mode as a guide, based on the evidence to review indicators and review method, clear clinical status and evidence gap, combined with the stakeholders interview, using content analysis to analyze barriers and promoting factors, to formulate action countermeasures.Results:In this study, 140 pregnant women were finally included for clinical review, aged from 22 to 42 (30.13 ± 3.69) years. A total of 23 pieces of best evidence were incorporated, leading to the establishment of 29 review indicators. Among these, 20 review indicators showed compliance rates below 60%. The main obstacles based on the results of review and interviews with stakeholders: the evidence content covered perinatal stages but lacked specificity and practical applicability; nurses had insufficient knowledge and faced increased workloads; pregnant/postpartum women lacked essential knowledge and skills, with delayed resolution of lactation issues; the practice environment lacked evidence-based implementation protocols, specialized assessment tools, and professional lactation consultant teams, etc. Promoting factors: the project team had rich experience in evidence transformation; the reform aligned with national policies, high engagement from departmental leaders, and standardized management systems for evidence-based projects in the nursing department; strong motivation among pregnant/postpartum women; the hospital was an infant-friendly hospital with talents needed for evidence transformation.Conclusions:There is a big gap between the clinical status and the evidence of promoting the initiation and establishment of lactation, so nursing staff should make full use of the promoting factors and formulate countermeasures according to the obstacle factors, so as to provide reference for promoting the initiation of lactation and the establishment of relevant evidence to clinical transformation.

Fear of disease progression(FoP)is a common psychological state among patients with coronary heart dis-ease(CHD),which exists throughout the course of disease and seriously affects the prognosis.High level of FoP not only harms the mental health of patients but also do not benefit their rehabilitation after discharge.This concept was first proposed by foreign researchers studying the psychological state of cancer patients.In recent years,there have been numerous studies on the influencing factors and qualitative aspects of FoP in CHD patients,while related inter-vention studies remain few.This paper reviews the concept,scales and related influencing factors of FoP,providing ideas for medical staff to provide targeted interventions for CHD patients.

Objective To investigate the feasibility of simultaneous multi-slice(SMS)acquisition combined with single-shot echo-planar imaging(SSEPI)multi-model diffusion weighted imaging(DWI)for breast lesions.Methods Totally 108 cases of breast lesions were retrospectively enrolled and divided into malignant group(n=66)and benign group(n=42)based on pathology.3.0T MR scanner was used to acquire SSEPI and SMS-SSEPI multi-b values DWI,7 derived parameters were obtained through post-processing with mono-exponential,fractional-order calculus(FROC)and continuous-time random walk(CTRW)models.Then the imaging quality and derived parameters of SMS-SSEPI and SSEPI DWI were compared between groups.Spearman correlation analysis was performed to explore the relationships of corresponding parameters between SMS-SSEPI DWI and SSEPI DWI.Diagnostic performance of each parameter for distinguishing malignant and benign lesions was evaluated according to the area under the receiver operating characteristic curve(AUC).Results Background noise score of SMS-SSEPI DWI was lower than that of SSEPI DWI(P＜0.05),whereas no significant difference of overall imaging quality,normal anatomical structure depiction,lesion conspicuity,geometric distortion,signal-to-noise ratio(SNR)nor contrast-to-noise ratio(CNR)was found between SMS-SSEPI DWI and SSEPI DWI(all P＞0.05).Parameters derived from SMS-SSEPI DWI were all moderately to highly positively correlated with those from SSEPI DWI(rs=0.66-0.98).Malignant lesions exhibited significantly lower apparent diffusion coefficient(ADC),diffusion coefficient based on FROC(DFROC),fractional order derivative in space(βFROC),diffusion coefficient based on CTRW(DCTRW),temporal diffusion heterogeneity index(αCTRW)and spatial diffusion heterogeneity index(βCTRW)values,but higher spatial parameter(μFROC)value than benign lesions(all P＜0.05).AUC of SMS-SSEPI DWI derived parameters for differentiating malignant from benign lesions were 0.699-0.900,of those from SSEPI DWI were 0.654-0.887,while in both SMS-SSEPI DWI and SSEPI DWI,DFROC had the highest diagnostic efficacy(AUC=0.900,0.887).Conclusion SMS-SSEPI DWI could be used to effectively differentiate malignant and benign breast lesions.

With the increasing demand for dynamic,real-time and rapid qualitative analysis of chemical composition in areas such as emergency response and space exploration,chip-scale mass spectrometers have attracted significant attention.These devices are expected to drive the integration of mass spectrometry with micro/nano-fabrication and intelligent sensing technologies,fostering profound innovation and breakthroughs in analytical chemistry.As an excellent mass analyzer,the ion trap exhibits numerous advantages,and its miniaturization creates favorable conditions for the high-density integration of miniature mass spectrometers.However,the reduction in ion storage capacity may compromise its sensitivity and dynamic range,rendering the study of ion unidirectional ejection in highly miniaturized ion traps of significant practical importance.In this work,a research was conducted on achieving efficient ion unidirectional ejection while maintaining high mass resolution in the extremely miniature hyperbolic linear ion trap(M-HLIT)with a field radius of 1 mm,and an electric field compensation method was proposed,which combined asymmetric electrode stretching and unbalanced RF voltage to achieve high-precision optimization of the electric field composition.Simulations showed that in an ideal structure,this method achieved 100％unidirectional ejection efficiency with the mass resolution of 518,significantly outperforming traditional asymmetric structure method(365)and unbalanced voltage method(321).Following the introduction of ion ejection slots,further optimization through bidirectional stretching and electrical parameters improved the resolution to 790 while maintaining a unidirectional ejection efficiency of 93％.This method eliminated the requirement for additional excitation voltage,offering an ideal solution for the miniature mass analyzer with high detection performance of chip-level mass spectrometers.

OBJECTIVE: Recombination events are common and serve as the primary driving force of diverse human adenovirus (HAdV), particularly in children with acute respiratory tract infections (ARIs). Therefore, continual monitoring of these events is essential for effective viral surveillance and control. METHODS: Respiratory specimens were collected from children with ARIs between January 2022 and December 2023. The penton base, hexon, and fiber genes were amplified from HAdV-positive specimens and sequenced to determine the virus type. In cases with inconsistent typing results, genes were cloned into the pGEM-T vector to detect recombination events. Metagenomic next-generation sequencing (mNGS) was performed to characterize the recombinant HAdV genomes. RESULTS: Among 6,771 specimens, 277 (4.09%, 277/6,771) were positvie for HAdV, of which 157 (56.68%, 157/277) were successfully typed, with HAdV-B3 being the dominant type (91.08%, 143/157), and 14 (5.05%, 14/277) exhibited inconsistent typing results, six of which belonged to species B. The penton base genes of these six specimens were classified as HAdV-B7, whereas their hexon and fiber genes were classified as HAdV-B3, resulting in a recombinant genotype designated P7H3F3, which closely resembled HAdV-B114. Additionally, a partial gene encoding L1 52/55 kD was identified, which originated from HAdV-B16. CONCLUSION A novel recombinant, P7H3F3, was identified, containing sequences derived from HAdV-B3 and HAdV-B7, which is similar to HAdV-B114, along with additional sequences from HAdV-B16.
Humans ; Adenoviruses, Human/isolation & purification* ; Respiratory Tract Infections/epidemiology* ; Child, Preschool ; Child ; Recombination, Genetic ; Male ; Beijing/epidemiology* ; Infant ; Female ; Phylogeny ; Adenovirus Infections, Human/epidemiology* ; Acute Disease ; Genome, Viral