Objective:To analyze the influence factors of urinary tract infection after transurethral bipolar plasma enucleation of the prostate (TUPEP) in patients with benign prostatic hyperplasia(BPH), and the early predictive value of serum inflammatory indicators for postoperative urinary tract infection.Methods:A total of 300 patients with BPH who received TUPEP treatment in the Department of Urology, Kailuan General Hospital from January 2021 to August 2023 were selected, according to whether they had urinary tract infections after the operation, they were divided into infection group ( n=117) and non-infection group ( n=183). The clinical data of the two groups were collected, and the serum inflammatory indexes of the two groups were recorded within 24 hours after the operation, including white blood cell count (WBC), neutrophil granulocyte (NE%), high-sensitivity C-reactive protein (hs-CRP), serum amyloid A (SAA), procalcitonin (PCT), heparin-binding protein (HBP), interleukin-2 (IL-2), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), and serum ferritin (SF). The differences of clinical data and serum inflammatory indexes between the two groups were analyzed. The measurement data of normal distribution were expressed as mean ± standard deviation ( ± s), and independent sample t-test was used for inter-group comparisons. The measurement data of non- normal distribution were represented by median (interquartile range) [ M ( Q1, Q3)], and the Mann-Whitney U test was used for inter-group comparison. The count data were expressed as cases and percentage, and inter-group comparisons were conducted using the Chi-test. Multivariate Logistic regression analysis was used to explored the influencing factors of urinary tract infections in BPH patients after TUPEP surgery. The receiver operating characteristic (ROC) curve was plotted using GraphPad Prism 8.0.1 medical plotting softwar to evaluate the predictive value of serum inflammatory markers and combined detection of multiple markers for early postoperative urinary tract infections. Results:The duration of disease, history of diabetes, international prostate symptom score (IPSS), prostate volume, preoperative serum prostate-specific antigen (PSA) level, preoperative urine residual volume, operation time, intraoperative blood loss, postoperative catheter indwelling time, and hospitalization time in the infection group were higher than those in the non-infection group ( P<0.05). The preoperative 25-hydroxyvitamin D (25OHD) level and maximum urinary flow rate were lower in the infection group than those in the non- infection group ( P<0.05). Multivariate Logistic regression analysis showed that the course of the disease, history of diabetes, IPSS score, prostate volume, preoperative PSA level, preoperative urine residual volume, operation time, intraoperative blood loss, postoperative catheter indwelling time was positively correlated with urinary tract infection after TUPEP ( B=0.660, 0.242, 0.164, 0.125, 0.230, 0.066, 0.382, 0.022, 0.436, P<0.01), and preoperative 25OHD level and preoperative maximum urinary flow rate were negatively correlated with urinary tract infection after TUPEP ( B=-0.216, -0.372, P<0.01). The levels of hs-CRP, SAA, PCT, HBP, IL-2, IL-4, IL-6, IL-8, IL-10, TNF-α, IFN-γ, SF in the infection group were higher than those in the non-infection group ( P<0.001). The ROC curve analysis showed that the area under the curve (AUC) of hs-CRP, SAA, PCT, HBP, IL-2, IL-4, IL-6, IL-8, IL-10, TNF-α, IFN-γ, SF in early predicting urinary tract infection after TUPEP in BPH patients were 0.697, 0.775, 0.902, 0.873, 0.884, 0.904, 0.917, 0.823, 0.906, 0.852, 0.807, 0.787. The AUC of the combined detection of multiple serum inflammatory markers was 0.972, the sensitivity and specificity were 93.18% and 96.63%, and the sensitivity and specificity of the combined detection of multiple serum inflammatory markers were higher than those of separate detection. Conclusion:The course of BPH, whether to combine history of diabetes, preoperative IPSS score, prostate volume, preoperative PSA level, preoperative 25OHD level, preoperative maximum urinary flow rate, operation time, intraoperative blood loss, and postoperative catheter indwelling time are influencing factors of urinary tract infection after TUPEP, hs-CRP, SAA, PCT, HBP, IL-2, IL-4, IL-6, IL-8, IL-10, TNF-α, IFN-γ, SF had certain value in the early prediction of urinary tract infection after TUPEP in patients with BPH, the combination of multiple indicators can improve the predictive value of early urinary tract infection.

The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.

Hospital culture is the sum of common values， codes of conduct， and working methods formed by internal employees within the hospital， and it is the spiritual pillar and core of cohesion of the hospital. Party-building leadership plays an important role in promoting hospital culture construction， including strengthening values guidance， enhancing team cohesion， facilitating management system innovation， and shaping social image and brand value. By analyzing the effectiveness of a series of Party-building activities carried out by Xi’an No. 9 Hospital in recent years， this paper explored the effect and significance of Party-building leadership in promoting hospital culture construction in the new era， as well as proposed guiding strategies for strengthening Party-building work in promoting hospital culture construction in the new era， so as to promote high-quality development of the hospital.

OBJECTIVE: This study aimed to identify high-risk areas for type 2 diabetes mellitus (T2DM) mortality to provide relevant evidence for interventions in emerging economies. METHODS: Empirical Bayesian Kriging and a discrete Poisson space-time scan statistic were applied to identify the spatiotemporal clusters of T2DM mortality. The relationships between economic factors, air pollutants, and the mortality risk of T2DM were assessed using regression analysis and the Poisson Log-linear Model. RESULTS: A coastal district in East Guangdong, China, had the highest risk (Relative Risk [RR] = 4.58, P < 0.01), followed by the 10 coastal districts/counties in West Guangdong, China (RR = 2.88, P < 0.01). The coastal county in the Pearl River Delta, China (RR = 2.24, P < 0.01), had the third-highest risk. The remaining risk areas were two coastal counties in East Guangdong, 16 districts/counties in the Pearl River Delta, and two counties in North Guangdong, China. Mortality due to T2DM was associated with gross domestic product per capita (GDP per capita). In pilot assessments, T2DM mortality was significantly associated with carbon monoxide. CONCLUSION High mortality from T2DM occurred in the coastal areas of East and West Guangdong, especially where the economy was progressing towards the upper middle-income level.
Diabetes Mellitus, Type 2/epidemiology* ; China/epidemiology* ; Humans ; Risk Factors ; Spatio-Temporal Analysis ; Air Pollutants/analysis* ; Socioeconomic Factors ; Bayes Theorem ; Female ; Male ; Middle Aged

Wastewater-based epidemiology has emerged as a transformative surveillance tool for estimating substance consumption and monitoring disease prevalence, particularly during the COVID-19 pandemic. It enables the population-level monitoring of illicit drug use, pathogen prevalence, and environmental pollutant exposure. In this perspective, we summarize the key challenges specific to the Chinese context: (1) Sampling inconsistencies, necessitating standardized 24-hour composite protocols with high-frequency autosamplers (≤ 15 min/event) to improve the representativeness of samples; (2) Biomarker validation, requiring rigorous assessment of excretion profiles and in-sewer stability; (3) Analytical method disparities, demanding inter-laboratory proficiency testing and the development of automated pretreatment instruments; (4) Catchment population dynamics, reducing estimation uncertainties through mobile phone data, flow-based models, or hydrochemical parameters; and (5) Ethical and data management concerns, including privacy risks for small communities, mitigated through data de-identification and tiered reporting platforms. To address these challenges, we propose an integrated framework that features adaptive sampling networks, multi-scale wastewater sample banks, biomarker databases with multidimensional metadata, and intelligent data dashboards. In summary, wastewater-based epidemiology offers unparalleled scalability for equitable health surveillance and can improve the health of the entire population by providing timely and objective information to guide the development of targeted policies.
China/epidemiology* ; Humans ; Wastewater/analysis* ; COVID-19/epidemiology* ; Public Health ; Wastewater-Based Epidemiological Monitoring ; SARS-CoV-2

Incomplete debridement of chronic osteomyelitis is the main factor leading to recurrence. For the treatment of chronic osteomyelitis, the complete elimination of the source of infection is the key to preventing recurrence. This process includes not only the complete removal of infected lesions, dead bone, accreted scar tissue and granulation tissue, but also the elimination of dead space and improved local blood circulation. In these steps, debridement is a core procedure, and judging the scope of debridement is the premise of whether it could be completely debridement. This article systematically reviewed the application of different imaging techniques in evaluating the scope of chronic osteomyelitis infection, and discusses its future development trend. Although traditional plain X-ray film could preliminarily indicate osteomyelitis, it is difficult to determine the infection scope. CT scan has the function of accurate anatomic localization, which is important for preoperative assessment of the scope of bone infection, but the recognition of soft tissue information is limited. MRI, with its high sensitivity, clearly distinguishes between infected bone and soft tissue, which plays an important role in the evaluation of soft tissue infection, but may overestimate the extent of bone infection. Nuclide techniques such as 18F-FDG PET/CT and SPECT/CT show great potential for accurately assessing the extent of infection before surgery. In the future, by optimizing the combination of different imaging technologies, combining clinical symptoms, intraoperative conditions and pathological results, and developing an image analysis platform based on artificial intelligence, it will be able to more accurately assess the scope of infection, provide more effective and personalized treatment plans for patients with chronic osteomyelitis, enhance treatment effects, and significantly improve quality of life of patients.
Humans ; Osteomyelitis/diagnosis* ; Chronic Disease ; Magnetic Resonance Imaging ; Tomography, X-Ray Computed

OBJECTIVES: To explore the measures to improve the follow-up rate of preterm infants after discharge, and to evaluate the effectiveness of these measures using quality improvement methodology. METHODS: The follow-up status of preterm infants discharged from March to May 2017 was used as the baseline before quality improvement, and a specific quality improvement goal for the follow-up rate was proposed. The Pareto chart was used to analyze the causes of follow-up failure, and a key driver diagram was constructed based on the links involved in improving follow-up rate. The causes of failure were analyzed to determine the key links and intervention measures for quality improvement, and the follow-up rate was monitored weekly using a control chart until the quality improvement goal was achieved. RESULTS: The follow-up rate of preterm infants after discharge was 57.92% (117/202) at baseline before quality improvement, and the quality improvement goal was set to increase the follow-up rate of preterm infants from baseline to more than 80% within 12 months. The Pareto chart analysis showed that the main causes of follow-up failure were deficiencies in follow-up file management and irregular follow-up times (33.70%, 31/92), insufficient follow-up education and poor communication (25.00%, 23/92), and the inability to meet the diverse needs of parents (18.48%, 17/92). Based on the key links for quality improvement and the main causes of follow-up failure, the following intervention measures were adopted: (1) strengthen follow-up publicity and education; (2) build a follow-up team; and (3) establish a follow-up platform and system. The control chart indicated that with the implementation of the above intervention measures, the weekly follow-up rate increased to 74.09% (306/413) in July 2017 and 83.09% (511/615) in December 2017, finally achieving the quality improvement goal. During the COVID-19 pandemic, the follow-up rate of preterm infants fluctuated between 23.54% (460/1 954) and 70.97% (1 931/2 721), and subsequently, it returned to pre-pandemic levels starting in February 2023. CONCLUSIONS The application of quality improvement methodology can help to formulate intervention measures based on the main causes of follow-up failure, thereby improving the follow-up rate of preterm infants after discharge. This quality improvement method is feasible and practical and thus holds promise for clinical application.
Humans ; Quality Improvement ; Infant, Premature ; Infant, Newborn ; Patient Discharge ; Follow-Up Studies ; Female ; Male

OBJECTIVE: To distinguish the ambiguous genotyping results of human leukocyte antigen (HLA), identify a novel HLA-B allele and analyze the nucleotide sequence. METHODS: A total of 2 076 umbilical core blood samples from the Zhejiang Cord Blood Bank in 2022 were detected using the next generation sequencing technology (NGS) based on the Ion Torrent S5 platform. Among these a rare HLA-B allele with ambiguous combination result containing a base mutation was identified, and was further confimed by the third-generation sequencing (TGS) based on the nanopore technology. RESULTS: The NGS typing result of HLA-B locus showed HLA-B* 46:18, 54:06 or HLA-B*46:01, 54:XX (including a base mutation), and nanopore sequencing confirmed the typing as HLA-B*46:01, 54:XX (including a base mutation). Compared with HLA-B*54:01:01:01, the HLA-B*54:XX allele showed one single nucleotide substitution at position 1014 T>C in exon 6, with no amino acid change. The nucleotide sequence of the novel HLA-B*54:XX has been submitted to the GenBank nucleotide sequence database and the accession number OP853532 was assigned. CONCLUSION A ambiguous genotyping of the HLA-B Locus detected by NGS was distinguished by nanopore sequencing and a new HLA-B allele was successfully identified, which was officially named as HLA-B*54:01:11 by the World Health Organization Nomenclature Committee for Factors of the HLA System.
Humans ; High-Throughput Nucleotide Sequencing ; Alleles ; HLA-B Antigens/genetics* ; Genotype ; Mutation ; Sequence Analysis, DNA ; Base Sequence

OBJECTIVES: To explore the mechanism of Lacticaseibacillus paracasei E6 for improving vinorelbine-induced immunosuppression in zebrafish. METHODS: The intestinal colonization of L. paracasei E6 labeled by fluorescein isothiocyanate (FITC) in zebrafish was observed under fluorescence microscope. In a zebrafish model of vinorelbine-induced immunosuppression, the immunomodulatory activity of L. paracasei E6 was assessed by analyzing macrophage and neutrophil counts in the caudal hematopoietic tissue (CHT), the number of T-lymphocyte, and the expressions of interleukin-12 (IL-12) and interferon-γ (IFN-γ). The contents of short-chain fatty acids (SCFAs) in L. paracasei E6 fermentation supernatant and the metabolites of L. paracasei E6 in zebrafish were detected by LC-MS/MS-based targeted metabolomics. The immunomodulatory effects of the SCFAs including sodium acetate, sodium propionate and sodium butyrate were evaluated in the zebrafish model of immunosuppression. RESULTS: After inoculation, green fluorescence of FITC-labeled L. paracasei E6 was clearly observed in the intestinal ball, midgut and posterior gut regions of zebrafish. In the immunocompromised zebrafish model, L. paracasei E6 significantly alleviated the reduction of macrophage and neutrophil counts in the CHT, increased the fluorescence intensity of T-lymphocytes, and promoted the expressions of IL-12 and IFN-γ. Compared with MRS medium, L. paracasei E6 fermentation supernatant showed significantly higher levels of acetic acid, propionic acid and butyric acid, which were also detected in immunocompromised zebrafish following treatment with L. paracasei E6. Treatment of the zebrafish model with sodium acetate and sodium propionate significantly increased macrophage and neutrophil counts in the CHT and effectively inhibited vinorelbine-induced reduction of thymus T cells. CONCLUSIONS L. paracasei E6 can improve vinorelbine-induced immunosuppression in zebrafish through its SCFA metabolites acetic acid and propionic acid.
Animals ; Zebrafish/immunology* ; Acetic Acid/metabolism* ; Propionates/metabolism* ; Fatty Acids, Volatile/metabolism*