Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

Objective To investigate the prevalence of Paragonimus infection in freshwater crabs from selected areas of Yunnan Province, and to perform molecular characterization and phylogenetic analysis of the isolated parasites based on the internal transcribed spacer 2 (ITS2) and cytochrome c oxidase subunit I (COI) gene sequences. Methods Freshwater crabs were collected from both local markets and natural streams in Zhaotong City, Pu’er City, Dehong Dai and Jingpo Autonomous Prefecture, Baoshan City, Honghe Hani and Yi Autonomous Prefecture and Lincang City of Yunnan Province from May to August 2025. Paragonimus metacercariae were isolated using a sieve and sedimentation method. After morphological identification of the metacercariae, the infection rate and infection intensity of Paragonimus in freshwater crabs were calculated. Then genomic DNA was extracted from an individual metacercaria, and ITS2 and COI gene fragments were amplified using a PCR assay and sequenced. The obtained sequences were aligned with those available in the GenBank database. Genetic distances were calculated with the software MEGA 11.0 based on the Kimura 2-parameter model, and phylogenetic trees were built using the neighbour-joining method. Results A total of 600 freshwater crabs were collected, with 18 positive for Paragonimus metacercariae. The prevalence of Paragonimus infection was 12.00% (18/150) in freshwater crabs from Zhaotong City, while no Paragonimus infection was detected in crabs from other five prefectures (cities). Twenty metacercariae were recovered, with an overall infection intensity of 1.11 metacercariae per crab. Morphological observation revealed two types of Paragonimus metacercariae, including 19 resembling P. skrjabini, and 1 resembling P. paishuihoensis. Ten metacercariae of distinct morphotypes were randomly selected for molecular identification, and sequence alignment and phylogenetic analysis of ITS2 and COI genes identified 9 as P. skrjabini and 1 as P. paishuihoensis. The nine ITS2 gene sequences shared 98.34% to 100.00% homology with the reference sequence of P. skrjabini (GenBank accession number: KX129924.1), and the single ITS2 gene sequence showed 100.00% homology with the reference sequence of P. paishuihoensis (GenBank accession number: OM401939.1), while its COI sequence showed 98.80% homology with the reference sequence of P. paishuihoensis (GenBank accession number: AB679288.1). Phylogenetic analysis further confirmed that the 10 sequences were clustered separately into the clades of P. skrjabini and P. paishuihoensis. Conclusions This study reports the first detection of P. paishuihoensis in freshwater crabs from Zhaotong City, Yunnan Province, and confirms P. skrjabini as the dominant Paragonimus species in this region. Molecular identification and phylogenetic analysis based on ITS2 and COI genes are effective to distinguish Paragonimus species, which provides the scientific evidence for precise control of paragonimiasis in Yunan Province.

ObjectiveTo clarify the independent and synergistic effects of dyslipidemia in the progression of hepatic steatosis in metabolic dysfunction-associated fatty liver disease （MAFLD）. MethodsA total of 7 697 participants who underwent physical examination in Beijing Friendship Hospital， Capital Medical University， from January 2022 to December 2024 were enrolled， and finally 2 177 patients with MAFLD were enrolled as subjects. Transient elastography was used to quantify the severity of hepatic steatosis （grades S1-S3）. The multivariable ordinal Logistic regression analysis was used to investigate the independent and synergistic associations of serum triglyceride （TG）， high-density lipoprotein cholesterol （HDL-C）， and low-density lipoprotein cholesterol （LDL-C） with the severity of hepatic steatosis， and their interactions and potential nonlinear relationships with metabolic factors were also examined. One-way analysis of variance or Kruskal-Wallis H test was used for comparison of continuous data between groups， and chi-square test was used for comparison of categorical data between groups. ResultsAn increase in TG （odds ratio ［OR］=1.77， 95% confidence interval ［CI］： 1.48 — 2.10， P<0.001） and a reduction in HDL-C （OR=1.35， 95%CI： 1.11 — 1.65， P=0.003） were independently associated with a greater severity of hepatic steatosis， with the strongest association when both abnormalities coexisted （OR=2.40， 95%CI： 1.87 — 3.07， P<0.001）. The dose-response relationship analysis further revealed a nonlinear threshold effect of TG on hepatic steatosis at the threshold of 1.51 mmol/L （P_nonlinearity=0.001）， below which the severity of steatosis increased more rapidly with the increase in TG concentration （P=0.001）. The subgroup analysis showed that the association between the reduction in HDL-C and the severity of steatosis was observed only in males， young adults （aged <45 years）， and metabolically healthier subgroups （without diabetes， obesity， hyperuricemia or hypertension）. Significant interactions were observed between the presence or absence of obesity and the abnormal levels of TG and HDL‑C （both P_interaction<0.05）. The association of the increase in LDL-C with steatosis was confined to specific subgroups （without obesity or hyperuricemia）. ConclusionThe increase in TG and the reduction in HDL-C are independently associated with the severity of hepatic steatosis in MAFLD. The synergistic effect of blood lipids and their interactions with metabolic factors may further refine risk stratification， so as to provide a basis for precise management of MAFLD.

Staphylococcus aureus is a Gram-positive bacterium with strong pathogenicity. With the widespread use of antibiotics， its multi-drug resistance has gradually increased. Among them， methicillin-resistant S. aureus （MRSA） is one of the main pathogens of hospital and community infections. Antimicrobial peptides are short-chain peptides with good antibacterial effects and low drug resistance， which have been widely studied in recent years. This study summarizes the mechanism of action of antimicrobial peptides and related study on antimicrobial peptides against MRSA from different sources. It is found that the mechanisms of action of antimicrobial peptides include targeting bacterial cell membranes， bacterial cells， and bacterial cell walls， etc. Besides isolating antimicrobial peptides with anti-MRSA activity from animals， plants， and microorganisms， antimicrobial peptides can also be obtained through synthetic methods. Among them， GHa-derived peptides from animal sources， Ib-AMP4 from plant sources， Ph-SA from microbial sources， the synthetic peptide LLKLLLKLL-NH2， and so on， due to their effective antibacterial activity， rapid bactericidal speed， and low toxicity， are promising candidates for anti-MRSA drugs.

Objective To analyze the risk factors and clinical outcomes of cognitive impairment in elderly patients with heart disease after surgery.Methods A total of 156 patients with heart valve diseases undergoing coronary artery bypass surgery admitted to the First Affiliated Hospital of H ainan Medical University from October 2021 to December 2023 were prospectively recruited.At 7 d postoperatively,Montreal cognitive assessment(MoCA)scale was used to assess their cogni-tive function,and based on MoCA score＜26 or not,they patients were divided into a cognitive impairment group(n=61)and a control group(n=95).The clinical features were compared be-tween the two groups,and the risk factors for cognitive impairment were analyzed.All patients were followed up for 1 year to compare the outcomes of the two groups.Results The cognitive impairment group had significantly advanced age,larger proportions of concomitant chronic respiratory diseases and sarcopenia,increased ratio of undergoing open heart surgery,and elevated incidence of intraoperative hypotension than the control group(P＜0.05,P＜0.01).Multivariate logistic regression analysis indicated that age,chronic respiratory diseases,sarcopenia,open heart surgery,and intraoperative hypotension were independent risk factors for postoperative cognitive impairment in elderly patients with heart diseases(OR=1.081,95％CI:1.007-1.161,P=0.030;OR=2.538,95％CI:1.062-6.066,P=0.036;OR=2.650,95％CI:1.174-5.985,P=0.019;OR=3.104,95％CI:1.391-6.929,P=0.006;OR=3.478,95％CI:1.298-9.322,P=0.0013).There was no statistical difference in preoperative MoCA scores between the two groups(27.90±1.40 vs 28.20±1.40,P=0.195).The MoCA score at 7 d and 6 and 12 months after surgery were obviously lower in the cognitive impairment group than the control group(22.90±1.27 vs 27.73±1.08,P=0.000;24.72±1.66 vs 27.73±1.23,P=0.000;25.48±1.73 vs 27.62±1.22,P=0.000).Age was identified as an independent factor affecting the outcome of cognitive function in the patients(OR=1.168,95％CI:1.035-1.318).Conclusion The incidence of postoperative cog-nitive impairment is relatively high in elderly patients with heart disease.So,relevant risk factors should be addressed to strengthen the prevention and management.

The effects of different robust optimization parameters on the doses to organs-at-risk(OAR)and the clinical target volume(CTV)in proton therapy plans for localized prostate cancer are explored for identifying the optimal robust optimization parameters.A retrospective analysis is conducted on 10 cases in which proton plans with a total dose of 76 Gy delivered in 38 fractions are designed.In robust optimization,uncertainties of 3.5%in range and setup errors of 3,5 and 7 mm are considered.After being grouped by setup errors,3 groups of plans are obtained.The effects of setup errors on the doses to CTV and OAR are analyzed,and the robustness of the CTV dose is assessed,including the worst-case values of dosimetric parameters and the passing rates under different scenarios.The results show that as the setup error increased,the doses to OAR tended to rise.Compared with the 3 mm plan group,the 5 mm and 7 mm plan groups experience increases of 1.99%and 5.15%in rectal V70,3.71%and 10.01%in rectal V45,0.93%and 2.55%in bladder V70,and 1.71%and 5.27%in bladder V45,respectively;similar patterns are observed for the doses to sigmoid colon and bulbous urethra,and the differences are statistically significant(P<0.05).In robustness analysis,the CTV D99 in the 5 mm and 7 mm plan groups increases by 0.68 Gy and 0.95 Gy as compared with the 3 mm plan group,with passing rates improving by 7.2%and 9.6%,respectively(passing criterion:D95 receives at least 100%of the prescribed dose),with significant differences(P<0.05).Considering both OAR dose and CTV robustness,the setup error of 5 mm is found to be a reasonable choice for robust optimization in proton therapy plans for localized prostate cancer,as it can effectively balance the enhancement of CTV dose robustness with the control of dose escalation to OAR.

Objective To understand the distribution characteristics of fungi on object surface in hospital environ-ment,and provide reference for the scientific and precise formulation of environment control strategies based on fun-gal in clinic.Methods From December 7 to 23,2023,a total of 60 environmental specimens of 19 categories in 6 departments of a large tertiary first-class hospital were collected and divided into water-related environmental speci-men group,complete facade environmental specimen group,and sanitary ware environmental specimen group.18S rRNA sequencing was performed on specimens with fungi detected.Results Fungal detection rate of environmental specimens was 20.00％(12/60).Sink in the department of endocrinology had the highest fungal colony count(15 CFU/cm2),followed by the air outlet of air disinfection device in the department of thoracic surgery and the in-ternal part of a faucet in the department of endocrinology(both 10 CFU/cm2).The water-related environmental specimen group detected most diverse fungal genera(14 species),with high relative abundances of Aspergillus(100％),Meyerozyma(99.06％),Ophiocordyceps genus(95.63％),and Kodamaea(87.86％).The air outlet of air disinfection device was detected with a high abundance of Chaetomium(44.08％)and Corollospora(39.71％).There was no statistically significant difference in the α-diversity(Shannon and Simpson indices,P values of 0.661 and 0.568,respectively)and β-diversity(P=0.712)among the three environmental specimens.Conclusion Under the routine implementation of basic environmental cleaning and disinfection in medical institutions,fungi are in a low prevalence in the environment.However,moist surfaces and air disinfection device are prone to fungal colonization,and it is necessary to strengthen daily monitoring and take corresponding intervention measures to reduce the risk of infection.

Pituitary adenoma is a common intracranial tumor, and endoscopic endonasal surgery has become one of its primary treatment modalities. Intraoperative magnetic resonance imaging (iMRI) technology can provide surgeons with real-time imaging during surgery, significantly enhancing surgical precision and safety. This case report retrospectively analyzes a case of recurrent pituitary adenoma treated at the Department of Neurosurgery, Huashan Hospital, Fudan University. During endoscopic endonasal surgery, the iMRI revealed residual tumor tissue located above the scar from previous surgery. With the aid of neuronavigation, the surgeon precisely identified and incised the proliferative fibrous tissue that had been misidentified as the diaphragma sellae, successfully removing the concealed tumor and achieving gross total resection. Postoperatively, the patient experienced marked improvement in visual acuity, preserved normal pituitary function, and had no cerebrospinal fluid leakage. Based on this case and relevant literature, this paper discusses the advantages of iMRI in endoscopic endonasal surgery and its potential to improve patient outcomes, aiming to provide reference and guidance for clinical practice.

Cysteine protease inhibitor SN(Cystatin SN , CST1), a member of the type 2 cystatins superfamily, regulates tumor biological activities by modulating cysteine protease activity. CST1 is abnormally expressed in digestive system neoplasms, such as esophageal cancer, gastric cancer, hepatocellular carcinoma, colorectal cancer, and pancreatic cancer. CST1 influences tumor cell proliferation, migration, and epithelial-mesenchymal transition (EMT) through signaling pathways including Wnt, STAT3, and PI3K-AKT. Its expression levels significantly correlated with tumor stage, metastasis, and patient prognosis, suggesting its potiential as a novel biomarker for early diagnosis, therapeutic evaluation, and prognosis in digestive system neoplasms. This article systematically reviews the molecular characteristics of CST1, its mechanisms of action in digestive system neoplasms, clinical significance, and explores its potential as a therapeutic target.

Objective:To illustrate the clinical modeling and commissioning results of Monte Carlo dose calculation algorithm in RayStation treatment planning system (TPS) for a domestically developed synchrotron-based spot scanning proton therapy system (SAPT-PS-01).Methods:The proton pencil beam model in RayStation required integral depth dose curves, spot profiles and absolute dose as the input beam data. It was not necessary to collect beam parameters with range shifter. The integral depth dose curves of a single spot were measured by an 8 cm parallel ion chamber. A 2-dimensional scintillation detector was used to measure the in-air spot profile at 5 different depths including the isocenter plane. The absolute dose was calibrated by a 0.25 cm parallel ion chamber under the single energy layer irradiation with a field size of 10 cm × 10 cm. After modeling, the results of the beam model and the Monte Carlo dose calculation algorithm were validated from the range, spot profile, point-dose in a spread-out Bragg peak, planar dose in a clinical plan, point dose in an end-to-end test.Results:For the 94 energy layers, the maximum deviation between the calculated and measured range was 0.03 cm. The maximum difference between the calculated and measured in-air spot sigma was 0.015 cm, and the deviation of in-water spot sigma was measured within ±15%. Compared with the measured values, the calculated dose deviation of 138 measured points in the spread-out Bragg peak was within 3%. For the planar dose verification of clinical plans, the TPS-calculated dose distribution of 285 planes agreed well with the measurement with a minimum gamma-passing rate of 90%, and the gamma passing rate of almost 95% of planes were greater than 95%. The point dose measurements for 8 beams in the end-to-end tests under 4 clinical scenarios were within 5%.Conclusions:The acceptable beam model validation results and successful end-to-end test confirm that the Monte Carlo dose calculation algorithm modeling for the synchrotron-based spot scanning proton therapy system is accurate, which is applicable for the design of patient treatment plan.