ObjectiveTo construct a nomogram prediction model for non-valvular persistent atrial fibrillation （PeAF） patients with left ventricular hypertrophy （LVH） ， followed by prognostic analysis through follow-up. MethodsThis study retrospectively enrolled 949 patients with newly diagnosed and hospitalized non-valvular PeAF. Among them， 403 patients presented with LVH. The cohort was randomly stratified into a training set （n=665） and a validation set （n=284）. Univariate and multivariate Logistic regression analyses were employed to identify independent risk factors for PeAF complicated by LVH. A nomogram prediction model was subsequently constructed and evaluated for discriminative ability， calibration， and clinical utility using receiver operating characteristic （ROC） curve analysis， calibration plots， and decision curve analysis （DCA）. ResultsSeven independent risk factors were ultimately identified and included in the prediction model： female sex， hypertension， diabetes， red blood cell distribution width-SD （RDW-SD）， body mass index （BMI）， left atrial diameter （LAD）， and left ventricular ejection fraction （LVEF）. The area under the ROC curve （AUC） in the training set was 0.862 （95% CI： 0.834-0.890）， and in the validation set， it was 0.870 （95% CI： 0.829-0.911）， demonstrating excellent predictive performance. ConclusionIndependent risk factors for LVH in PeAF patients include female， hypertension， diabetes， RDW-SD， BMI， LAD， and LVEF. The prediction model built based on this can help early identification of PeAF patients with high risk of LVH. At the same time， the incidence of major adverse cardiovascular events （MACE） is higher in PeAF patients with LVH. Patients with atrial fibrillation combined with LVH may benefit from catheter ablation.

Objective To compare the effects of nalbuphine combined with etomidate and nalbuphine combined with propofol in painless colonoscopy for elderly patients with hypertension. Methods Elderly patients with hypertension who underwent painless colonoscopy in the Department of Anesthesiology of Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University from August 2022 to February 2023 were selected and randomly divided into three groups: nalbuphine combined with etomidate group (E group), nalbuphine combined with propofol group (P group), and the nalbuphine combined with etomidate and propofol group (EP group). The primary endpoint was the incidence of hypotension during anesthesia. Secondary endpoints included mean arterial pressure (MAP), systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR) at five time points: before anesthesia (T₀), before colonoscopy (T₁), 5 minutes after colonoscopy (T₂), at the end of the examination (T₃), upon leaving the post-anesthesia care unit (PACU, T₄). Additionally, examination time, awakening time, Ramsay score, and adverse reactions were compared among the three groups. Results A total of 180 patients were included in the analysis, with 60 cases in each group. The incidence of hypotension was 11.7%, 55.0%, and 33.3% in the E group, P group, and EP group, respectively. The incidence of hypotension in the E group was lower than that in the P and EP groups (P＜0.05). At T₁, T₂, T₃, and T₄, MAP, SBP, and DBP in the E group were significantly higher than those in the P and EP groups (P＜0.05). There were no statistically significant differences among the three groups in awakening time, Ramsay score, or incidence of adverse reactions. Conclusions Compared with nalbuphine combined with propofol, nalbuphine combined with etomidate for painless colonoscopy in elderly patients with hypertension resulted in a lower incidence of hypotension, less impact on hemodynamics, and higher safety.

The interplay between psychological pain and physical pain is one of the key issues in the research of non-suicidal self-injury (NSSI). Psychological pain, driven by negative self-perception and difficulties in emotional regulation, activates specific brain regions, such as the anterior cingulate gyrus and insula, areas that overlap with neural networks involved in physical pain. Physical pain can, in turn, activate distinct neural pathways that temporarily alleviate psychological pain. However, repeated self-injury may lead to increased pain tolerance over time, contributing to a vicious cycle. This paper reviews the potential neural network connections and interactions between psychological and physical pain in the context of NSSI behavior. It also summarizes current clinical interventions and their effectiveness in treating NSSI, aiming to offer new insights for future research and clinical practice in preventing and treating NSSI.

Objective:To review the applications of key technologies of 5G+helicopter medical rescue and predict future developments. Literature resource and selection Related literature in this field that was published at home and abroad. Literature quotation Forty articles published at home and abroad. Literature synthesis 5G+helicopter medical rescue is a new medical rescue model that integrates airborne 5G network technology, body area network disease awareness technology and 5G air-ground collaborative rapid diagnosis and treatment technology. It can shorten the time and space distance of medical rescue and improve the efficiency. The clinical applications of 5G+helicopter medical rescue, including the development of rescue schemes, daily and disaster scenarios 5G networking schemes, and air-ground collaborative emergency rescue information sharing platforms, have delivered remarkable results in the field of medical rescue. Despite the challenges facing 5G technology such as high cost and inconsistent technical standards, its development will promote innovation and progress in low-airspace helicopter medical rescue and offer more efficient, more accurate and safer rescue services. Conclusions:It is recommended that 5G network be given more weight, the auto-flight technology of helicopters developed, rescue command and dispatch platforms established, rescue personnel better-trained and supervision and safety guarantee be enhanced.

Objective To evaluate the consistency of DNA coding region single nucleotide polymorphism(cSNP)genotyping at the DNA and RNA levels in common body fluid samples based on the next-generation sequencing platform.Methods After extensive literature retrieval,25 cSNP loci of 8 human tissue-specific mRNAs in peripheral blood,semen and vaginal secretion were selected.Two cSNP multiplex genotyping panels based on DNA and RNA,respectively,were developed for use on the MiSeq FGx sequencing platform.45 body fluid samples(including 14 peripheral blood samples,15 semen samples and 16 vaginal secretion samples)were sequenced and analyzed.The inconsistent typing results of DNA and RNA were rechecked by Sanger sequencing.Results The results of cSNP genotyping at the DNA and RNA levels in peripheral blood were completely consistent.Among the 15 semen samples,the genotypes of rs1995640 and rs 1995641 on the TGM4 gene were inconsistent in 3 cases.Among the 16 vaginal secretion samples,there were 2 cases,1 case and 2 case with inconsistent results of rs3869098,rs10947121 and rs12110470 in MUC22 gene,respectively.Conclusion In this study,MiSeq FGx sequencing and Sanger sequencing were used to test 25 cSNP loci with body fluid tissue specificity.The same typing results at the DNA and RNA levels were observed at 20 cSNPs.Inconsistent genotypes at the DNA and RNA levels were observed at 5 cSNPs on the TGM4 and MUC22 genes.This study provides experimental methods and data for forensic cSNP studies.

Objective To explore the trajectory of psychological symptom clusters in pregnant women with assisted reproductive technology(ART),and analyze the influencing factors of each trajectory subgroups,in order to provide a theoretical basis for the management of psychological health during pregnancy in pregnant women with ART.Methods A total of 205 pregnant women who had conceived using ART were sampled from the obstetrics clinic of a tertiary hospital in Nanjing from August 2023 to April 2024 using a convenient sampling method.The baseline data were assessed by general information questionnaire,Symptom Checklist-90,Distress Disclosure Index and Positive Psychological Capital Questionnaire at 10-14 weeks gestation,and the follow-up information was assessed by Symptom Checklist-90 at 22-26 weeks of gestation and 34-38 weeks of gestation.Exploratory factor analysis was used to extract symptom clusters;the latent class growth mixture model was used to identify the track categories;the multiple logistic regression analysis was used to analyze the influencing factors of the track.Results 180 cases were finally included.By exploratory factor analysis,5,4 and 5 factors were extracted at 3 time points respectively.Trajectories of psychological symptom clusters in pregnant women with ART is divided into 3 potential classes:low level-slow relieving group(28.89％),high level-significant increasing group(6.11％),medium level-slow increasing group(65.00％).Logistic regression analyses showed that duration of infertility,number of ART,literacy,pain self-expression and positive psychological capital were influential factors in the potential categories of psychological symptom clusters in pregnant women conceived with ART(all P＜0.05).Conclusion The trajectory of psychological symptom clusters in pregnant women with ART was divided into 3 potential classes.Medical workers could develop corresponding interventions based on the influencing factors and implement comprehensive and efficient symptom management.

The glucagon receptor (GCGR) is a critical target for the treatment of metabolic disorders such as Type 2 Diabetes Mellitus (T2DM) and obesity. Activation of GCGR enhances systemic insulin sensitivity through paracrine stimulation of insulin secretion, presenting a promising avenue for treatment. However, the discovery of effective GCGR agonists remains a challenging and resource-intensive process, often requiring time-consuming wet-lab experiments to synthesize and screen potential compounds. Recent advances in artificial intelligence technologies have demonstrated great potential in accelerating drug discovery by streamlining screening and efficiently predicting bioactivity. In the present work, we propose DeepGCGR, a two-layer deep learning model that leverages graph convolutional networks (GCN) integrated with a multiple attention mechanism to expedite the identification of GCGR agonists. In the first layer, the model predicts the bioactivity of various compounds against GCGR, efficiently filtering large chemical libraries to identify promising candidates. In the second layer, DeepGCGR classifies high bioactive compounds based on their functional effects on GCGR signaling, identifying those with potential agonistic or antagonistic effects. Moreover, DeepGCGR was specifically applied to identify novel GCGR-regulating compounds for the treatment of T2DM from natural products derived from traditional Chinese medicine (TCM). The proposed method will not only offer an effective strategy for discovering GCGR-targeting compounds with functional activation properties but also provide new insights into the development of T2DM therapeutics.
Deep Learning ; Drug Discovery/methods* ; Humans ; Diabetes Mellitus, Type 2/metabolism* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology*

This paper summarizes Professor WANG Xiuxia's clinical experience in treating hyperprolactinemia using the liver soothing therapy. Professor WANG identifies liver qi stagnation and rebellious chong qi （冲气） as the core pathomechanisms of hyperprolactinemia. Furthermore， liver qi stagnation may transform into fire or lead to pathological changes such as spleen deficiency with phlegm obstruction or kidney deficiency with essence depletion. The treatment strategy centers on soothing the liver， with a modified version of Qinggan Jieyu Decoction （清肝解郁汤） as the base formula. Depending on different syndrome patterns such as liver stagnation transforming into fire， liver stagnation with spleen deficiency， or liver stagnation with kidney deficiency， heat clearing， spleen strengthening， or kidney tonifying herbs are added accordingly. In addition， three paired herb combinations are commonly used for symptom specific treatment， Danggui （Angelica sinensis） with Chuanxiong （Ligusticum chuanxiong）， Zelan （Lycopus lucidus） with Yimucao （Leonurus japonicus） ， and Jiegeng （Platycodon grandiflorus） with Zisu （Perilla frutescens）.

Objective To investigate the relationship of mindful attention awareness with sleep quality and occupational stress of soldiers.Methods A questionnaire survey was conducted on 1 100 soldiers by using the mindful attention awareness scale(MAAS),occupational stress scale(OSS),and Pittsburgh sleep quality index(PSQI).Results The PSQI of the soldiers was negatively correlated with mindful attention awareness(r=-0.446,P<0.01),and positively correlated with occupational stress(r=0.569,P<0.01).Mindful attention awareness and occupational stress were effective predictors for sleep quality,accounting for 34.7%of variance.And the mediating effect of occupational stress between mindful attention awareness and sleep quality accounted for 58.86%.Conclusion The mindful attention awareness in soldiers can not only directly affect the sleep quality,but also indirectly affect the sleep quality through their occupational stress.

Ferroptosis has received great attention as an iron-dependent programmed cell death for efficient cancer therapy. However, with the accumulation of iron in tumor cells, the antioxidant system is activated by reducing glutathione (GSH) with glutathione peroxidase 4 (GPX4), which critically limits the ferroptosis therapeutic effect. Herein, an iron and GPX4 silencing siRNA (siGPX4) co-encapsulated ferritin nanocage (HFn@Fe/siGPX4) was developed to enhance ferroptosis by disruption of redox homeostasis and inhibition of antioxidant enzyme synergistically. The siGPX4 were loaded into the nanocages by pre-incubated with iron, which could significantly improve the loading efficiency of the gene drugs when compared with the reported gene drug loading strategy by ferritin nanocages. And more iron was overloaded into the ferritin through the diffusion method. When HFn@Fe/siGPX4 was taken up by human breast cancer cell MCF-7 in a TfR1-mediated pathway, the excess iron ions in the drug delivery system could for one thing induce ferroptosis by the production of reactive oxygen species (ROS), for another promote siGPX4 escaping from the lysosome to exert gene silencing effect more effectively. Both the in vitro and in vivo results demonstrated that HFn@Fe/siGPX4 could significantly inhibit tumor growth by synergistical ferroptosis. Thus, the developed HFn@Fe/siGPX4 afforded a combined ferroptosis strategy for ferroptosis-based antitumor as well as a novel and efficient gene drug delivery system.