Purpose: Postoperative complications following gastric cancer surgery significantly impact patient outcomes, yet standardized definitions for these events have not been consistently applied across institutions in Korea. This study aimed to develop a consensus-based, standardized complication classification system specific to gastrectomy for gastric cancer as part of the Korean Quality Improvement Platform in Surgery (K-QIPS) initiative. Methods: As part of K-QIPS, a dedicated task force team (TFT) was formed with surgical experts from fourteen high-volume hospitals across Korea. The TFT conducted ten formal meetings to review existing literature and international guidelines, and incorporated findings from randomized controlled trials. The final complication list was developed through expert consensus and structured into a standardized framework. A Data Entry Manual was created to support consistent data collection by surgical clinical reviewers. Results: The TFT defined specific postoperative complications following gastrectomy for gastric cancer, including anastomotic leakage, duodenal stump leakage, pancreatic fistula, intra-abdominal and luminal bleeding, delayed gastric emptying, and internal hernia. Notably, internal hernia was described in standardized form for the first time. General complications were developed first and overlapped in part with the gastric cancer-specific list. The task force also produced a Data Entry Manual that provides practical instructions to ensure consistency and accuracy in complication reporting. Conclusion This nationwide consensus initiative established the first standardized complication classification system for gastric cancer surgery in Korea. The proposed definitions and data entry system are expected to improve complication reporting, enable multicenter research, support surgical quality benchmarking, and ultimately enhance patient outcomes.

Objective To analyze the genomic characteristics of Legionella pneumophila (L. pneumophila) isolated from industrial circulating cooling water in workplace. Methods A total of 20 L. pneumophila strains isolated from industrial circulating cooling water collected from eight chemical enterprises were selected as the research subjects. Whole-genome sequencing was performed on the strains, followed by multilocus sequence typing (MLST), whole-genome single nucleotide polymorphism analysis, virulence factor profiling, and antibiotic resistance gene detection. Results The dominant MLST typing among the 20 L. pneumophila strains was ST2. Serogroup 1 (Lp1) strains exhibited high genetic diversity. Strains from different enterprises showed substantial genomic diversity, suggesting possible inter-enterprise dissemination. Each isolate harbored 175-295 virulence genes; among them, virulence genes were identified, and 139 genes were detected in all the 20 strains. These genes primarily included those related to the Dot/Icm type Ⅳ bacterial secretion system, flagellar synthesis and motility, and type Ⅳ pili. The number of virulence genes carried by L. pneumophila strains of different ST types differed (P<0.01), with unidentified sequence types harboring more virulence genes than other STs (P<0.01). A total of four resistance genes were predicted, including aminoglycoside phosphotransferase-encoding gene APH(9)-Ia, carbapenemase-encoding gene OXA-29, and efflux pump genes-encoding genes LpeA and LpeB, with detection rates of 100.00%, 100.00%, 10.00%, and 10.00%, respectively. These genes may confer resistance to cephalosporins, penicillins, and aminoglycosides, and all strains were multidrug resistance. Conclusion L. pneumophila isolated from industrial recirculating cooling water exhibits high genetic diversity, strong pathogenicity, and significant multidrug resistance potential.

Background: and Purpose The Treat Stroke to Target (TST) was a randomized clinical trial involving French and Korean patients demonstrating that a lower low-density lipoprotein cholesterol (LDL-C, <70 mg/dL) target group (LT) experienced fewer cerebro-cardiovascular events than a higher target (90–110 mg/dL) group (HT). However, whether these results can be applied to Asian patients with different ischemic stroke subtypes remains unclear. Methods: Patients from 14 South Korean centers were analyzed separately. Patients with ischemic stroke or transient ischemic attack with evidence of atherosclerosis were randomized into LT and HT groups. The primary endpoint was a composite of ischemic stroke, myocardial infarction, coronary or cerebral revascularization, and cardiovascular death. Results: Among 712 enrolled patients, the mean LDL-C level was 71.0 mg/dL in 357 LT patients and 86.1 mg/dL in 355 HT patients. The primary endpoint occurred in 24 (6.7%) of LT and in 31 (8.7%) of HT group patients (adjusted hazard ratio [HR]=0.78; 95% confidence interval [CI]=0.45–1.33, P=0.353). Cardiovascular events alone occurred significantly less frequently in the LT than in the HT group (HR 0.26, 95% CI 0.09–0.80, P=0.019), whereas there were no significant differences in ischemic stroke events (HR 1.12, 95% CI 0.60–2.10, P=0.712). The benefit of LT was less apparent in patients with small vessel disease and intracranial atherosclerosis than in those with extracranial atherosclerosis. Conclusion In contrast to the French TST, the outcomes in Korean patients were neutral. Although LT was more effective in preventing cardiovascular diseases, it was not so in stroke prevention, probably attributed to the differences in stroke subtypes. Further studies are needed to elucidate the efficacy of statins and appropriate LDL-C targets in Asian patients with stroke.

Objective:To analyze the differentially expressed messenger RNA(mRNA), microRNA(miRNA), and long non-coding RNA(lncRNA)during the browning of mouse subcutaneous adipose tissue, construct a competitive endogenous RNA(ceRNA)network, and provide a theoretical basis for investigating the regulatory mechanisms of white adipose tissue browning.Methods:A cold-stimulated mouse model was established for transcriptome sequencing.Bioinformatics tools were employed to screen for differentially expressed mRNAs, miRNAs, and lncRNAs.An integrated mRNA-miRNA-lncRNA analysis was performed to construct a ceRNA network.Gene Ontology(GO), Kyoto Encyclopedia of Genes and Genomes(KEGG), and Gene Set Enrichment Analysis(GSEA)were conducted on the differentially expressed mRNAs and ceRNA networks to explore transcriptional regulation during the cold-induced browning of subcutaneous adipose tissue.Results:Transcriptomic analysis of the cold-stimulated model identified 4, 256 differentially expressed RNAs, which include 3, 600 mRNAs, 588 lncRNAs, and 68 miRNAs.GO and KEGG analyses revealed that the browning of white adipose tissue involves immune-related processes, such as immune system processes, immune responses, adaptive and innate immune responses, and the positive regulation of T-cell activation.A ceRNA network associated with browning regulation was constructed, comprising 233 nodes(188 mRNAs, 34 miRNAs, and 11 lncRNAs)and 351 edges.Protein-protein interaction(PPI)analysis of the mRNAs within the ceRNA network highlighted pathways including apoptosis, intracellular signaling transduction, hypoxia-inducible factor-1(HIF-1), AMP-activated protein kinase(AMPK), Janus kinase-signal transducer and activators of transcription(JAK-STAT)signaling, carbon metabolism, glycolysis, and thyroid hormone pathways, all of which regulate lipid metabolism, hypoxia, and glycolysis.Cytohubba analysis identified the top 10 hub genes: Bcl2, Src, Cebpb, Creb1, Runx1, Foxo3, Ets1, Socs3, Slc2 a4, and Pkm. Conclusions:The ceRNA network that regulates the browning of white adipose tissue is involved in various pathways, including carbon metabolism, glycolysis, thyroid hormone signaling, growth hormone signaling, prolactin signaling, as well as the HIF-1, AMPK, and JAK-STAT pathways.Key regulatory miRNAs in this context include miR-30e-5p, miR-182-5p, miR-20b-5p, miR-144-3p, miR-363-3p, miR-141-3p, miR-203-3p, and miR-107-3p.These miRNAs may serve as critical targets for inducing browning in response to cold exposure.

Objective:To investigate the pollution status of legionella pneumophila of industrial circulating cooling towers, and explore the factors affecting the positive rate and quantity of legionella pneumophila, in order to provide data support for the risk assessment and hierarchical management of legionella pneumophila in workplaces.Methods:In February, May, August and October 2023, the cooling water samples were collected from a total of 20 industrial circulating cooling towers of 9 enterprises in an industrial park in Shanghai. The water temperature, free residual chlorine, total residual chlorine, turbidity, chroma, pH, conductivity, chemical oxygen consumption, iron content and total plate count in the water samples were detected. Meanwhile, the legionella pneumophila in the water samples were qualitatively and quantitatively analyzed, and the influence of water quality indexes on the positive rate and number of legionella pneumophila detected was analyzed by logistic regression and linear regression respectively.Results:The positive rates of legionella pneumophila in the first to fourth quarters of 20 industrial circulating cooling towers of 9 chemical enterprises were 35% (7/20), 45% (9/20), 45% (9/20), and 85% (17/20). The serotypes of legionella pneumophila detected in the cooling tower were mainly legionella pneumophila type 1 (95.2%, 40/42), and the number of legionella pneumophila ranged from 0.2 to 316.8 cfu/ml. Circulating cooling water temperature ( OR=1.36, 95% CI: 1.12-1.64, P=0.001) and conductivity ( OR=1.02, 95% CI: 1.00-1.03, P=0.026) were independent risk factors affecting the detection of legionella pneumophila. There was a positive correlation between chemical oxygen consumption and the detected amount of legionella pneumophila ( β=8.08, P=0.002) . Conclusion:The positive rate of legionella pneumophila in industrial circulating cooling water system is high, and the detected quantity fluctuates greatly, which may have health risks, suggesting that it is necessary to pay attention to the water quality management such as water temperature, conductivity and chemical oxygen consumption of industrial circulating cooling water and the monitoring and control of legionella pneumophila.

Objective To analyze the dosimetric differences between Monaco Monte Carlo(MC)algorithm and Pinnacle collapse cone convolution(CCC)algorithm for the same machine model using the 6 MV flatten-filter free(FFF)mode,thus providing a reference for the clinical application of these two treatment planning systems.Methods According to the MPPG5 and TRS430 reports,the acceptance and commissioning of Monaco MC algorithm model and Pinnacle CCC algorithm model in Department of Radiation Oncology,Shenzhen Hospital,Cancer Hospital of Chinese Academy of Medical Sciences were performed.A retrospectively analysis was conducted on 30 cases,including 10 cases of nasopharyngeal cancer,6 cases of lung cancer,4 cases of esophageal cancer,and 10 cases of cervical cancer.For each case,a 6 MV FFF plan was designed in Pinnacle using CCC algorithm.A 2.5 mm dose grid was selected for plan optimization and dose calculation.The plan was then exported to Monaco,where dose to medium was calculated using MC algorithm and a 2.5 mm dose grid with a 1%uncertainty for each control point.Both calculations in Pinnacle and Monaco took into account the impact of the treatment couch and immobilization devices on dose attenuation.The dose differences to the target volumes and major organs at risk between Pinnacle and Monaco for 3 different body parts including the head,chest and abdomen were compared.Results(1)For nasopharyngeal cancer,compared with Pinnacle CCC algorithm,Monaco MC algorithm lowered the Vpd of PTVp,PTVn,PTVrpn,PTV1 and PTV2 by 9.98%,2.64%,15.0%,1.93%and 8.01%,elevated the Dmax of PTVp,PTVn and PTVrpn by 2.98%,5.62%and 2.39%,increased the Dmean of PTVn and PTV1 by 1.87%and 0.72%,respectively;and the Dmax of the brainstem,the Dmax of the optic chiasm,and the Dmean of the right parotid gland were 3.83%lower,7.03%higher and 1.32%higher in Monaco MC algorithm as compared with Pinnacle CCC algorithm,respectively.(2)For lung cancer and esophageal cancer,Monaco MC algorithm showed increases of 2.37%,4.18%,15.30%,6.36%and 1.04%in the Dmax of PGTV,the V20,V5 and Dmean of lungs,and the V30 of heart as compared with Pinnacle CCC algorithm,respectively.(3)For cervical cancer,the Vpd of PTV_LR,Dmax of PTV_LR,the V40 of the rectum,the Dmax of the small intestine,and the Dmean of humeral head were 7.70%lower,3.70%higher,4.31%lower,3.05%higher and 2.07%higher in Monaco MC algorithm than in Pinnacle CCC algorithm,respectively.These differences were statistically significant(P<0.05).Conclusion For the above 3 treatment sites,significant differences are found in dose calculations for target areas and organs at risk between Monaco MC algorithm and Pinnacle CCC algorithm for the same treatment plan.Attention should be paid to the differences in dose algorithms for different treatment planning systems in clinical applications,which may have impacts on patient survival rates and organ toxicity.

RNA-binding protein human antigen R(HuR)is a protein product of the embryonic lethal abnormal vision gene(ELAVL).It is widely expressed in human cells and primarily regulates mRNA stability through post-transcriptional mecha-nisms,particularly by binding to AU-enriched elements(AR-Es).Recent studies have indicated that HuR interacts with non-coding RNAs to participate in the regulation of gene expression,including long non-coding RNAs,circular RNAs,microRNAs,and vault RNAs.The interactions between HuR and these ncR-NAs play a crucial role in the occurrence and development of va-rious diseases,including tumors.Since there are already reviews summarizing the research on tumors,this review mainly focuses on summarizing the role of HuR-ncRNA interactions in diseases other than tumors.

Blood from a case of group B epidemic cerebrospinal meningitis identified in February 2024 in Ganzhou City,Jiangxi Province,and throat swabs from close contacts were collected for isolation and culture.The isolates were subjected to serogrouping,drug sensitivity testing,and whole genome sequencing and analysis,to provide a basis for epidemiological inves-tigation and clinical drug use.One strain of Neisseria meningitidis was isolated from the blood of the case and denoted group B.The MLST type was ST-7962,with no clonal group attribution.The phylogenetic tree showed that it was genetically close to the 1977 Shanghai carrier isolate(id-52231).Drug sensitivity results indicated that the strain was sensitive to 8 drugs:azithro-mycin,cefotaxime,minocycline,ceftriaxone,chloramphenicol,meropenem,rifampicin,and benzylpenicillin;resistant to cot-rimoxazole,levofloxacin,and ciprofloxacin;and showed an intermediate response to penicillin.This report describes the first case of ST-7962 group B meningoencephalitis found in Jiangxi Province.Monitoring of Neisseria meningitidis carriage,drug re-sistance,and molecular characteristics of strains in the healthy population in this region should be strengthened,to provide la-boratory support for the clinical use of medications,traceability,and control of the pathogen underlying meningoencephalitis infection.