Kounis syndrome is an acute coronary syndrome triggered by an allergic reaction, which is clinically rare and frequently subject to misdiagnosis or missed diagnosis. This article presents a case report of a 70-year-old male patient who developed a rash, pruritus, and chest pain following colon polyp resection. Coronary angiography revealed occlusion of the left anterior descending artery, and blood flow was restored after stent implantation. However, the patient experienced recurrent symptoms accompanied by loss of consciousness. Drug skin tests confirmed positive reactions to chlorhexidine and fondaparinux sodium, leading to a diagnosis of type Ⅱ Kounis syndrome. By avoiding allergenic drugs and combining antihistamines with symptomatic treatment to correct myocardial ischemia, the patient′s clinical symptoms significantly improved, and he eventually recovered and was discharged from the hospital. This case underscores the importance of maintaining vigilance for this syndrome in patients with allergies accompanied by chest pain and promptly identifying and avoiding allergens.

Objective To investigate the association between the Chinese visceral adiposity index (CVAI) and diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension among elderly people in Hebei Province. Methods In 2020, a stratified multi-stage random sampling was used to conduct questionnaire survey, physical examination and laboratory detection among permanent residents of 10 monitoring sites in Hebei Province. Logistic regression was used to analyze the association between CVAI and diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension. The area under the ROC curve (AUC) was used to evaluate the predictive value of CVAI for diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension. Results The detection rates of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension were 19.8%, 74.6%, 78.2%, and 16.2%, respectively. Multivariate logistic regression analysis showed that compared with the lowest quartile of CVAI group Q1, the OR (95% CI) of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension in the highest quartile Q4 group were 3.55 (2.58~4.89), 2.52 (1.92~3.31), 3.09 (2.31~4.12), and 4.92 (3.40~7.12), respectively. The ROC curve results showed that CVAI had the best predictive value in the diagnosis of diabetes with hypertension, and the optimized critical values in males and females were 128.54 and 141.88, respectively. Conclusion The detection rates of diabetes mellitus and hypertension are high in the elderly population in Hebei Province. CVAI is positively associated with the risk of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension among the elderly in Hebei. CVAI has the strongest prediction ability for diabetes with hypertension.

AIM: To investigate the correlation of serum C-reactive protein(CRP)-to-albumin(ALB)ratio(CAR)and neutrophil-to-lymphocyte count ratio(NLR)with pathological staging and prognosis of retinopathy of prematurity(ROP), and the predictive value of its combined testing for the prognosis of infants.METHODS:Prospective study. A total of 147 children with ROP who were born in our hospital from March 2022 to September 2024 were served as the ROP group, and 100 premature infants without ROP were served as the control group in the same period. Fully automatic biochemical analyzer was used to detect serum CRP and ALB; the flow cytometry nucleic acid fluorescence staining was used to count neutrophils and lymphocytes, and the CAR and NLR were calculated. Spearman correlation was used to analyze the relationship of serum CAR and NLR with ROP staging. Logistic regression was used to analyze the factors affecting the prognosis of children with ROP. ROC curve was drew to analyze the predictive value of serum CAR and NLR for the prognosis of ROP.RESULTS: There was comparability between the ROP group and the control group. The ROP group had significantly higher serum CRP, CAR, neutrophil count, and NLR than the control group, and clearly lower ALB and lymphocyte count than the control group(all P<0.05). Children with stage IV ROP had clearly higher serum CAR and NLR than stages I, II, and III, and the differences among stages I, II, and III were significant(all P<0.05). Serum CAR and NLR were positively correlated with ROP staging(r=0.529, 0.587, all P<0.05), and there was a positive correlation between serum CAR and NLR(r=0.546, P<0.05). The poor prognosis group had clearly higher serum CAR and NLR than good prognosis group(all P<0.001). Elevated serum CAR and NLR were risk factors affecting the prognosis of children with ROP(all P<0.05). The AUC of serum CAR, NLR, and joint detection in predicting the prognosis of ROP children was 0.803, 0.825, and 0.938, respectively. The joint detection showed better predictive performance(Zcombinatoion-CAR=2.637, Zcombinatoion-NLR=2.528, all P<0.05).CONCLUSION:Serum CAR and NLR are elevated in children with ROP, and they are closely related to pathological staging and prognosis. The joint detection has a higher predictive value in evaluating the prognosis of ROP.

Cardiotocography (CTG) is a non-invasive and important tool for diagnosing fetal distress during pregnancy. To meet the needs of intelligent fetal heart monitoring based on deep learning, this paper proposes a TWD-MOAL deep active learning algorithm based on the three-way decision (TWD) theory and multi-objective optimization Active Learning (MOAL). During the training process of a convolutional neural network (CNN) classification model, the algorithm incorporates the TWD theory to select high-confidence samples as pseudo-labeled samples in a fine-grained batch processing mode, meanwhile low-confidence samples annotated by obstetrics experts were also considered. The TWD-MOAL algorithm proposed in this paper was validated on a dataset of 16 355 prenatal CTG records collected by our group. Experimental results showed that the algorithm proposed in this paper achieved an accuracy of 80.63% using only 40% of the labeled samples, and in terms of various indicators, it performed better than the existing active learning algorithms under other frameworks. The study has shown that the intelligent fetal heart monitoring model based on TWD-MOAL proposed in this paper is reasonable and feasible. The algorithm significantly reduces the time and cost of labeling by obstetric experts and effectively solves the problem of data imbalance in CTG signal data in clinic, which is of great significance for assisting obstetrician in interpretations CTG signals and realizing intelligence fetal monitoring.
Humans ; Pregnancy ; Female ; Cardiotocography/methods* ; Deep Learning ; Neural Networks, Computer ; Algorithms ; Fetal Monitoring/methods* ; Heart Rate, Fetal ; Fetal Distress/diagnosis* ; Fetal Heart/physiology*

Nonalcoholic steatohepatitis （NASH） is a chronic liver disease with the main pathological features of hepatic steatosis， inflammatory cell infiltration， and interstitial fibroplasia， and it is an important risk factor for liver fibrosis， liver cirrhosis， and hepatocellular carcinoma. NOD-like receptor protein 3 （NLRP3） inflammasome is the core of innate immunity， and the abnormal activation of NLRP3 inflammasome is closely associated with the development and progression of NASH， which involves multiple links such as inflammatory response and oxidative stress. A large number of studies have shown that the active ingredients of traditional Chinese medicine （TCM） and TCM compound prescriptions can improve oxidative stress， regulate lipid metabolism， and alleviate liver inflammation by regulating NLRP3 inflammasome. TCM treatment applied in clinical practice has achieved a good therapeutic effect， while inflammasome is one of the key pathways or targets for TCM in improving NASH. This article reviews the mechanism of action of NLRP3 inflammasome in NASH and the research advances in TCM intervention of NLRP3 inflammasome， in order to provide ideas for the clinical TCM treatment of NASH， as well as reference targets and research directions for the research and development of new TCM drugs.

Multimorbidity of chronic diseases is one of the most common health issues among older adults, and the resulting demand for long-term medical care and management imposes a considerable burden on healthcare systems. Muscle strength, a core indicator of overall health status, is closely associated with the risk of developing multimorbidity of chronic diseases in older adults. Decline in muscle strength not only increases the risk of multimorbidity of chronic diseases but also interacts with it to exacerbate disease burden. In older adults with existing multimorbidity of chronic diseases, muscle strength decline can impair physical function and quality of life, leading to a vicious cycle of disease progression and physical disability. Strength training can help prevent multimorbidity, with potential mechanisms including the promotion of anti-inflammatory effects and enhancement of mitochondrial energy metabolism. This review summarizes the impact of muscle strength decline on multimorbidity of chronic diseases in older adults and the effectiveness and potential mechanisms of exercise interventions, providing evidence to delay muscle strength decline, prevent the occurrence and progression of multimorbidity of chronic diseases, and improve quality of life in older adults.
Humans ; Aged ; Chronic Disease/prevention & control* ; Muscle Strength/physiology* ; Multimorbidity ; Quality of Life ; Resistance Training ; Exercise Therapy ; Exercise ; Sarcopenia

In the century-long evolution of insulin pharmaceuticals, each transformative advancement in this drug class has been closely tied to the ability to obtain new insulin isoforms for research. Despite this, the recently discovered naturally occurring isoforms of glycosylated human insulin have remained largely unattainable for proper characterization. Herein, we demonstrate for the first time that total chemical synthesis can be used to generate all isoforms. This achievement required maintaining the correct positions of the interchain disulfide bonds while effectively removing protecting groups on complex glycans. Notably, the availability of seven glycoforms reveals the important effects of natural sialylated glycans in suppressing insulin self-association and enhancing its solubility, surpassing the performance of currently employed rapid-acting insulin drugs. This work not only offers a readily adaptable platform for exploring natural O-glycosylation in other therapeutic proteins and peptides but also lays the groundwork for further research into harnessing natural glycosylation for therapeutic applications.

Objective To investigate the factors influencing mood and sleep among special operation personnel,so as to provide evidence for the prevention and intervention of related issues.Methods A total of 600 special operation personnel during their special duty were enrolled by random sampling method.Basic information was collected by a general information questionnaire.Mood and sleep status were evaluated by self-rating anxiety scale(SAS),self-rating depression scale(SDS),and Pittsburgh sleep quality index scale(PSQI).Results Spearman correlation analysis showed that factors associated with anxiety were years of work experience(r=0.099,P=0.016),family residence(r=-0.153,P＜0.001),and sleep status(r=0.199,P＜0.001);the factors associated with depression were relationship with parents(r=-0.134,P=0.001),family residence(r=-0.144,P＜0.001),and sleep status(r=0.122,P=0.003);and the factors associated with sleep were age(r=0.088,P=0.031),years of work experience(r=0.079,P=0.049),and number of children(r=0.083,P=0.043).Binary logistic regression analysis showed that depression was not an influencing factor of sleep(odds ratio[OR]=1.302,95%confidence interval[95%CI]0.759-1.758,P=0.086),while anxiety was an influencing factor of sleep(OR=2.187,95%CI 1.608-4.695,P=0.001).Conclusion The sleep status of special operation personnel investigated in this survey is related to age and years of work experience,and is influenced by anxiety.Therefore,greater attention should be given to sleep issues in the occupational health support of special operations.Additionally,years of work experience,family residence,relationship with parents,and sleep status are related to anxiety and depression among special operation personnel.It is necessary to focus on the mental health of older workers and those with longer tenure.

Objective:To investigate alterations in the immune lineage of T-cell large granular lymphocytic leukemia (T-LGLL) at the single-cell transcriptome level and to elucidate its pathogenic mechanisms.Methods:Peripheral blood samples were collected from 5 T-LGLL patients before and after treatment (from June 2019 to December 2020) and 3 healthy controls at the Institute of Hematology & Blood Diseases Hospital, CAMS & PUMC. Single-cell transcriptome sequencing libraries were prepared and sequenced using 10× Genomics technology. Differentially expressed genes in immune cells were compared between patients and healthy donors, followed by pathway enrichment analyses.Results:Profiling 67,237 immune cells revealed that, in T-LGLL: 1) Effector CD8+ T cells exhibited increased numbers, enhanced cytotoxicity, and greater proliferative capacity. Following effective immunosuppressive therapy, both the proliferative capacity and effector functions of these cells significantly decreased ( P<0.05). 2) The proportion of regulatory T (Treg) cells was reduced, accompanied by increased apoptosis. After effective immunosuppressive therapy leading to remission, Treg cell proportions increased, and apoptotic pathways were downregulated ( P<0.05). 3) Antigen-presenting cells (APCs) showed enhanced functionality. Monocytes and dendritic cells were enriched in antigen synthesis and presentation pathways, while B cells displayed increased antigen-binding capacity and were enriched in pathways related to T-cell activation ( P<0.05). 4) Natural killer (NK) cells exhibited attenuated cytotoxic function but demonstrated an enhanced regulatory capacity over T cells ( P<0.05) . Conclusions:T-LGLL patients present a characteristic immunological profile marked by an imbalance in immune homeostasis. This profile includes abnormal activation and expansion of effector CD8 + T cells, and a reduction in Treg cell numbers accompanied by functional impairment. Furthermore, APCs and NK cells were found to positively regulate T-lymphocyte activation, differentiation, and proliferation.

Objective:To compare the efficiency and characteristics of different carrier proteins and signal sequences in delivering antigens into Escherichia coli outer membrane vesicles (OMVs). Methods:The fusion protein F1V, which consisted of the main protective antigen of Yersinia pestis F1 and LcrV, was expressed using the carrier proteins such as cytolysin A (ClyA), outer membrane protein A (OmpA), or β-lactamases (Bla) signal sequence as a carrier protein. The expression, localization, and content of F1V protein in OMVs were compared and analyzed. Results:All three delivery methods successfully incorporated F1V protein into OMVs and localized it on the surface of OMVs. Notably, when OmpA was used as the carrier protein, the F1V fusion protein constituted up to 30% of the total protein in OMVs. The highest yield of OMVs, reaching 4.2 mg/L, was achieved when Bla signal sequence was used as the carrier.Conclusions:There is a significant difference in the efficiency of different carrier proteins in delivering the F1V antigen into OMVs of Escherichia coli. Considering both the yield of OMVs and the proportion of antigen in the total protein of OMVs, the carrier Bla signal sequence demonstrated the highest efficiency in delivering F1V into OMVs, showing a potential for the future development of OMVs-based plague vaccines.