Solid organ transplantation (SOT) is an effective treatment method for various end-stage diseases. However, due to the need for long-term use of immunosuppressive drugs to prevent rejection reactions after the surgery, SOT recipients are generally in a state of low immune function, resulting in a significant increase in the risk of infection. Post-transplant infection, especially infections caused by multi-drug resistant bacteria, is one of the common complications for SOT recipients and is also a major cause of graft dysfunction, graft loss and even death of the recipients. As the global situation of bacterial resistance becomes increasingly severe, the burden of infectious diseases continues to increase, seriously threatening the survival prognosis and graft function of SOT recipients. The exploration of new antibiotic research and rational application strategies worldwide has become crucial. The development and launch of various new antibiotics have provided more options for clinical practice. Therefore, systematically reviewing the drug characteristics of new antibiotics and their application status in this special population of SOT recipients is of great significance for guiding clinical practice and improving patients’ prognosis.

ObjectiveThe exacerbating trend of global population aging poses profound socioeconomic and public health challenges, making the comprehensive elucidation of biological aging mechanisms and the discovery of effective anti-aging interventions an urgent priority in the life sciences. Based on our previous serum metabolomics findings that dimethylglycine, an intermediate metabolite of amino acid metabolism naturally present in the human body, was significantly enriched in the serum of longevity families, this study aimed to systematically investigate the anti-aging effects of dimethylglycine both in living organisms and in controlled laboratory environments, and to preliminarily elucidate its underlying molecular mechanisms. While existing literature indicates that dimethylglycine possesses antioxidant and immunomodulatory properties, its direct anti-aging efficacy and the specific molecular pathways through which it operates remain largely unexplored. MethodsTo comprehensively evaluate the anti-aging properties of dimethylglycine, we utilized replicative senescent human embryonic lung fibroblasts, specifically the WI-38 cell line, as an experimental model in a controlled laboratory environment. Cell viability and safety were thoroughly assessed using Cell Counting Kit-8 and lactate dehydrogenase release assays across various concentrations of dimethylglycine. The impact of dimethylglycine on cellular senescence phenotypes, oxidative stress, and proliferative capacity was evaluated via senescence-associated beta-galactosidase staining, reactive oxygen species fluorescence detection, and 5-ethynyl-2'-deoxyuridine incorporation assays. Furthermore, the molecular alterations of senescence-associated secretory phenotype factors and core senescence signaling pathways were quantified using quantitative reverse transcription polymerase chain reaction for the messenger RNA levels of interleukin-6, interleukin-8, p21, and matrix metalloproteinase-1, and enzyme-linked immunosorbent assay for the measurement of p16 and p21 protein expression levels. For the living organism model, the wild-type nematode Caenorhabditis elegans was used to evaluate systemic physiological effects. We conducted a comprehensive lifespan analysis at 20°C, heat stress resistance survival assays at 35℃, senescence-associated beta-galactosidase staining, lipofuscin accumulation tracking, intracellular reactive oxygen species measurement, and Oil Red O staining to ascertain systemic lipid accumulation. Additionally, network pharmacology bioinformatics tools, including PharmMapper and STRING databases, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were utilized to predict target pathways, alongside highly detailed molecular docking simulations utilizing SwissDock and Protein-Ligand Interaction Profiler to examine interactions with the cytochrome P450 family 2 subfamily C member 9 protein. ResultsThe experimental outcomes robustly demonstrate the potent anti-aging capabilities of dimethylglycine. At the cellular level, toxicity analyses firmly confirmed that dimethylglycine is highly safe; continuous treatment with 50 mol/L and 70 mol/L of dimethylglycine for 5 d did not induce any cellular membrane damage or cytotoxicity, but rather actively promoted cellular proliferation. Utilizing the optimal standardized concentration of 50 mol/L, dimethylglycine treatment significantly ameliorated senescent phenotypic markers in human embryonic lung fibroblasts, which was evidenced by a drastic and highly significant reduction in the senescence-associated beta-galactosidase positive cell percentage (P<0.000 1) and intracellular reactive oxygen species levels (P<0.000 1), alongside a marked increase in the 5-ethynyl-2'-deoxyuridine-positive proliferation rate (P=0.003 5). On a molecular expression scale, dimethylglycine significantly downregulated the messenger RNA expression of multiple core senescence-associated secretory phenotype inflammatory factors, including interleukin-6, interleukin-8, p21, and matrix metalloproteinase-1. Concurrently, it effectively suppressed the protein expression of critical cell cycle arrest markers, diminishing p16 protein levels by 57.3% (P=0.000 4) and p21 protein levels by 27.2% (P=0.000 7). In the nematode Caenorhabditis elegans animal model, dimethylglycine significantly extended the mean lifespan from 20.402 d to an impressive 23.066 d (P<0.000 1) and notably enhanced overall survival rates under severe heat stress environmental conditions (P=0.017). Furthermore, systemic dimethylglycine intervention significantly mitigated age-related physiological decline by decreasing bodily lipofuscin accumulation (P<0.000 1), significantly reducing senescence-associated beta-galactosidase activity, lowering systemic reactive oxygen species fluorescence (P=0.008), and effectively alleviating overall fat accumulation (P<0.000 1). Mechanistically, extensive network pharmacology and Kyoto Encyclopedia of Genes and Genomes analyses strongly revealed that the potential targets of dimethylglycine are significantly enriched in fundamental drug metabolism and oxidative stress response pathways. Precision molecular docking simulations conclusively demonstrated that dimethylglycine forms highly stable structural interactions with the cytochrome P450 family 2 subfamily C member 9 protein, specifically highlighting the definitive formation of 5 stable hydrogen bonds involving serine 365, leucine 366, and serine 429 residues, as well as two critical salt bridge formations with arginine 97 and histidine 368 residues. It is additionally predicted to interact favorably with glutathione S-transferase family proteins. ConclusionDimethylglycine exhibits a profoundly significant and multifaceted anti-aging activity at both the cellular and entire living animal levels. By powerfully alleviating oxidative stress, heavily suppressing the core p16 and p21-dependent cellular senescence signaling pathways, and substantially mitigating the detrimental senescence-associated secretory phenotype, dimethylglycine effectively delays fundamental cellular senescence processes and drastically extends whole-organism lifespan. The biological mechanisms driving these robust protective effects are highly likely closely associated with its direct stable interactions with crucial metabolic and detoxifying enzyme systems, such as cytochrome P450 family 2 subfamily C member 9 and glutathione S-transferase family proteins, thereby systemically improving metabolic dysregulation and restoring critical redox homeostasis. This comprehensive study provides highly solid experimental evidence supporting dimethylglycine as a highly potent and safe potential anti-aging intervention agent, while simultaneously offering a clear molecular mechanistic explanation for the previously documented high abundance of dimethylglycine observed within exceptionally long-lived human populations.

The diagnosis of occupational radiation diseases, with the diagnostic criteria as main technical basis, has always been one of the emphases of China's occupational health work. This study compared the diagnostic standards for occupational radiation diseases between China and the International Labour Organization (ILO) across three aspects—types, classifications/grades, and diagnostic dose requirements—categorizing the diseases into tissue reactions and stochastic effects. ① For tissue reactions, 8 types are included both in China and ILO standards, 13 unique to China's standards, and 4 unique to the ILO standards; significant differences exist in classifaton/grading; China's standards are either consistent with or stricter (i.e., requiring higher diagnostic dose values) than the ILO standards. ② For stochastic effects (radiation-induced cancer), 12 types were included in both standards; China's standards provide more comprehensive coverage for certain malignancies (e.g., bone cancer); while 5 types were unique to the ILO standards have, some (e.g. salivary gland cancer) are primarily observed in non-occupational populations. Overall, China’s standards include more disease types and maintain more stringent diagnostic dose requirements. However, specific discrepancies require further deliberation during future revisions. Finally, based on these results, recommendations were provided for basic research and the evaluation of Chinese diagnostic criteria.

The diagnosis of occupational radiation diseases, with the diagnostic criteria as main technical basis, has always been one of the emphases of China's occupational health work. This study compared the diagnostic standards for occupational radiation diseases between China and the International Labour Organization (ILO) across three aspects—types, classifications/grades, and diagnostic dose requirements—categorizing the diseases into tissue reactions and stochastic effects. ① For tissue reactions, 8 types are included both in China and ILO standards, 13 unique to China's standards, and 4 unique to the ILO standards; significant differences exist in classifaton/grading; China's standards are either consistent with or stricter (i.e., requiring higher diagnostic dose values) than the ILO standards. ② For stochastic effects (radiation-induced cancer), 12 types were included in both standards; China's standards provide more comprehensive coverage for certain malignancies (e.g., bone cancer); while 5 types were unique to the ILO standards have, some (e.g. salivary gland cancer) are primarily observed in non-occupational populations. Overall, China’s standards include more disease types and maintain more stringent diagnostic dose requirements. However, specific discrepancies require further deliberation during future revisions. Finally, based on these results, recommendations were provided for basic research and the evaluation of Chinese diagnostic criteria.

Objective To explore the predictive value of automated breast ultrasound(ABUS)features combined with Ki-67 in predicting pathological complete response(pCR)after neoadjuvant chemotherapy(NAC)in triple-negative breast cancer(TNBC).Methods A retrospective analysis was conducted on 127 female TNBC patients treated at Xijing Hospital,Air Force Medical University from March 2019 to December 2023.All patients underwent NAC and surgical treatment after ABUS examination.Based on postoperative pathological results,patients were divided into pCR group(n=60)and non-pathological complete response(npCR)group(n=67).Differences in various parameters before NAC were compared between the two groups.LASSO regression was used to identify independent factors influencing pCR after NAC in TNBC patients,and a predictive model was constructed using multivariate logistic regression.The prediction model was internally validated using the Bootstrap method(1000 resamples).The discriminative ability of the model was evaluated using receiver operating characteristic(ROC)curves,and the area under the curves(AUCs)of different prediction models were compared using De-long's test.The accuracy of the model was assessed using calibration curves,and the clinical benefit of the model was evaluated using clinical decision curve analysis(DCA).Results Significant differences were observed between two groups in terms of age,Ki-67,menopausal status,tumor type,posterior echo,coronal plane convergence sign,coronal plane skip sign,and coronal plane white wall sign before NAC(P<0.05).LASSO regression analysis showed that Ki-67,coronal plane convergence sign,and coronal plane white wall sign were independent influencing factors of pCR after NAC in TNBC patients(P<0.05).The AUC of the multivariate logistic regression model based on Ki-67 was 0.733(95%CI 0.646-0.819),the AUC of ABUS model was 0.777(95%CI 0.695-0.858),and the AUC of ABUS combined with Ki-67 model was 0.816(95%CI 0.741-0.890).De-long's test showed that the AUC of the combined model was higher than those of ABUS feature model and Ki-67 model,with statistically significant differences(P<0.05).There was no significant difference in the AUC between ABUS feature model and Ki-67 model(P=0.40).Hosmer-Lemeshow test indicated that the combined model had a good fit(P=0.304).Internal validation results showed that the combined model had a good stability with a consistency index(C-index)of 0.820(95%CI 0.726-0.879).The calibration curve demonstrated good consistency between the predicted and actual probabilities of the combined prediction model,and the DCA curve indicated that the model had favorable clinical benefit.Conclusion The combined ABUS feature and Ki-67 model can be used to predict the probability of pCR after NAC in TNBC patients,providing a reference for the formulation of clinical treatment plans in TNBC patients.

Objective To develop and validate risk prediction models utilizing five machine learning algorithms for assessing postoperative pulmonary infection(PPI)risk in lung cancer patients undergoing grade Ⅳ thoracoscopic surgery.Methods A retrospective cohort study included 2,380 lung cancer patients who underwent grade Ⅳ thoracoscopic surgery at a tertiary hospital in Shanghai(January 2022 to June 2024).Patients were stratified into training(n=1,665)and validation(n=715)cohorts.Five machine learning algorithms—Logistic regression(LR),artificial neural network(ANN),support vector machine(S VM),random forest(RF),and extreme gradient boosting(XGB)—were employed to construct predictive models.A nomogram was developed for clinical utility.Results Among 2,380 patients,226(9.5％)developed PPI.The Least Absolute Shrinkage and Se-lection Operator(LASSO)regression identified eight predictive variables:daily cigarette consumption,diabetes history,preoperative diffusing capacity,maximal tumor diameter,24-hour postoperative chest drainage volume,perioperative oral nutritional supplementation(ONS),postoperative urinary cathe-terization,and intraoperative pleural adhesion severity.All models demonstrated robust discrimina-tion,with area under the curve(AUC)values ranging from 0.862 to 0.947.The XGB model a-chieved superior performance(AUC=0.947,95％CI,0.937 to 0.962),followed closely by the LR model(AUC=0.926,95％CI,0.918 to 0.933).Conclusion Machine learning-based algo-rithms models effectively stratify PPI risk in lung cancer patients following grade Ⅳ thoracoscopic surgery.The derived nomogram provides a practical tool for perioperative risk management by healthcare providers.

AIM To investigate the clinical effects of Modified Banxia Xiexin Decoction combined with Lizhong Decoction on patients with type 2 diabetes mellitus due to Cold-heat Complex in the Middle Energizer.METHODS One hundred and sixty-eight patients were randomly assigned into control group(84 cases)for 12-week intervention of conventional treatment,and observation group(84 cases)for 12-week intervention of Modified Banxia Xiexin Decoction,Lizhong Decoction and conventional treatment.The changes in clinical effects,compliance rate of blood glucoses,discontinuation and reduction rate of hypoglycemic drugs,continuous glucose parameters(TIR,GVP,FPG-ARV,MAGE),FPG,2 hPG,HbA1c,FINS,HOMA-β,HOMA-IR,lnISI,intestinal flora metabolites(SCFAs,CA,DC A,CDCA,CA/CDCA),score for Cold-heat Complex in the Middle Energizer and incidence of adverse reactions were detected.RESULTS The observation group demonstrated higher marked improvement rate,total effective rate,compliance rate of blood glucoses and discontinuation and reduction rate of hypoglycemic drugs,than the control group(P＜0.05).After the treatment,the two groups displayed increased TIR,FINS,HOMA-β,lnISI,SCFAs,CDCA(P＜0.05),and decreased GVP,FPG-ARV,MAGE,FPG,2 hPG,HbA1c,HOMA-IR,CA,DC A,CA/CDCA,score for Cold-heat Complex in the Middle Energizer(P＜0.05),especially for the observation group(P＜0.05).No significant difference in incidence of adverse reactions was found between the two groups(P＞0.05).CONCLUSION For the patients with type 2 diabetes mellitus due to Cold-heat Complex in the Middle Energizer,Modified Banxia Xiexin Decoction combined with Lizhong Decoction can improve islet β cell function and insulin resistance,enhance insulin sensitivity index and compliance rate of blood glucoses,reduce blood glucose fluctuation and dosages of hypoglycemic drugs,regulate intestinal flora metabolites,and affect glucose metabolism.

Researchers commonly use cyclization recombination enzyme/locus of X-over P1 (Cre/loxP) technology-based conditional gene knockouts of model mice to investigate the functional roles of genes of interest in Sertoli and Leydig cells within the testis. However, the shortcomings of these genetic tools include high costs, lengthy experimental periods, and limited accessibility for researchers. Therefore, exploring alternative gene silencing techniques is of great practical value. In this study, we employed adeno-associated virus (AAV) as a vector for gene silencing in Sertoli and Leydig cells. Our findings demonstrated that AAV serotypes 1, 8, and 9 exhibited high infection efficiency in both types of testis cells. Importantly, we discovered that all three AAV serotypes exhibited exquisite specificity in targeting Sertoli cells via tubular injection while demonstrating remarkable selectivity in targeting Leydig cells via interstitial injection. We achieved cell-specific knockouts of the steroidogenic acute regulatory ( Star ) and luteinizing hormone/human chorionic gonadotropin receptor (Lhcgr) genes in Leydig cells, but not in Sertoli cells, using AAV9-single guide RNA (sgRNA)-mediated gene editing in Rosa26-LSL-Cas9 mice. Knockdown of androgen receptor ( Ar ) gene expression in Sertoli cells of wild-type mice was achieved via tubular injection of AAV9-short hairpin RNA (shRNA)-mediated targeting. Our findings offer technical approaches for investigating gene function in Sertoli and Leydig cells through AAV9-mediated gene silencing.
Animals ; Male ; Leydig Cells/metabolism* ; Mice ; Dependovirus/genetics* ; Sertoli Cells/metabolism* ; Gene Silencing ; Genetic Vectors ; Testis/cytology*

Objective:To evaluate the lung ultrasound characteristics of mycoplasma pneumoniae pneumonia in children and to investigate the value of lung ultrasound monitoring in clinical diagnosis and treatment.Methods:A retrospective analysis of 62 children with mycoplasma pneumoniae pneumonia admitted to Xi'an Chest Hospital from 7 November to 30 November 2023 was performed，and the characteristic parameters of bedside lung ultrasound and their related clinical data were collected. Pathological lung ultrasound features such as interrupted pleural line，well-spaced B-lines，coalescent B-lines，small subpleural patchy pulmonary consolidation，large pulmonary consolidation and pleural effusion in 12 scan areas of both lungs were observed. The maximum upper and lower diameters，right and left diameters，and anterior and posterior diameters of the large pulmonary consolidations were measured，and the changes in the above signs before and after treatment were measured and compared.Results:In sixty-two children with mycoplasma pneumoniae pneumonia，including 32 males and 30 females，with a mean age of（8.18 ± 2.05）years old and a mean hospital stay of（8.79 ± 2.93）days，lung ultrasound showed interrupted pleural line，well-spaced B-lines，coalescent B-lines，small subpleural patchy pulmonary consolidation，large pulmonary consolidation and pleural effusion，with the incidence of 93.5%（58 /62），33.9%（21/62），32.3%（20/62），59.7%（37/62），66.1%（41/62）and 17.7%（11/62），respectively，in which the large pulmonary consolidations presented rich blood supply were more common in the L6 and L4 areas，while the pleural effusions were more common in the L6 area.The signs of interrupted pleural line，coalescent B-lines，large pulmonary consolidation and pleural effusion were significantly improved after treatment compared with before treatment（all P<0.05）. The upper and lower diameters，left and right diameters，and anterior and posterior diameters of large pulmonary consolidations were significantly reduced after treatment compared with before treatment［（4.19 ± 2.42）cm vs.（2.84 ± 2.31）cm， t=2.613， P=0.011；（2.80 ± 1.82）cm vs.（1.96 ± 1.62）cm， t=2.226， P=0.029；（3.41 ± 2.11）cm vs.（2.12 ± 1.82）cm， t=2.972， P=0.004］.With the process of treatment，the dynamic observation of lung ultrasound showed that the well-spaced B-lines/coalescent B-lines gradually decreased until they completely disappeared or a small number of B-lines remained，and the area of the large pulmonary consolidation showed a dynamic downward trend（all P<0.001），and the area of large pulmonary consolidations gradually decreased until they completely disappeared or only small subpleural patchy pulmonary consolidations and well-spaced/coalescent B-lines remained，and at the same time，the pleural effusion gradually absorbed until it disappeared. Conclusions:Lung ultrasound can detect the distribution area of lung lesions，morphology and blood supply characteristics of children with mycoplasma pneumoniae pneumonia，as well as the dynamic changes after treatment，and lung ultrasound can dynamically monitor and evaluate the progression and regression of the disease in real time，providing a reliable imaging evidence for clinical practice.

To summarize the nursing experience of a patient with uremia on maintenance hemodialysis complicated by recurrent ventricular tachycardia and treated with transcatheter radiofrequency ablation.Key nursing interventions included:dynamically assessing the patient's coagulation and bleeding status,being vigilant against the occurrence of deep vein thrombosis,and preventing local and major organ bleeding;implementing goal-oriented volume management strategies to prevent electrolyte disorders;the strengthened management of vascular access to reduce risks of stenosis or occlusion in the arteriovenous fistula;conducting precise assessment and comprehensive intervention to reduce the patient's psychological and mental burden.After careful treatment and nursing care,the patient was stable and discharged on the 6th postoperative day.During the 2-month outpatient follow-up,cardiac function indicators were normal,and the fistula was unobstructed,and the patient recovered well.