Objective To assess the current status of microbial and parasitic quality control for laboratory animals in Jiangxi Province by analyzing microbiological and parasitic test results from production facilities between 2020 and 2024, and to provide a basis for enhancing quality control measures. MethodsIn accordance with the current national standards for laboratory animals at the time of testing, the Jiangxi Provincial Laboratory Animal Quality Inspection Station (affiliated to Institute of Occupational Medicine of Jiangxi) conducted microbial and parasitic testing on 451 laboratory animals of 4 species from 6 laboratory animal production units in Jiangxi Province between 2020 and 2024, and analyzed the quality status of laboratory animals in the province. ResultsPasteurella pneumotropica was detected in one mouse sample in 2020, with a detection rate of 5.00%. Pseudomonas aeruginosa was detected in one mouse sample and mouse hepatitis virus antibody was detected in another mouse sample in 2023, with a detection rate of 2.78%, respectively. No microorganisms or parasites that should be excluded from SPF grade mice as specified in the national standards were detected in 2021, 2022, or 2024, with a qualification rate of 100.00%. Pasteurella pneumotropica was detected in four rat samples in 2020, with a detection rate of 20.00%. Pseudomonas aeruginosa was detected in two rat samples in 2021, with a detection rate of 10.00%, and Tyzzer's disease agent antibody was detected in four rat samples in 2024, with a detection rate of 10.00%. No microorganisms or parasites that should be excluded from SPF grade rats as specified in the national standards were detected in 2022 or 2023, with a qualification rate of 100.00%. For rabbits and guinea pigs, no microorganisms or parasites required to be tested for conventional grade rabbits and guinea pigs as specified in the national standards were detected from 2020 to 2024, with the qualification rate of both species reaching 100.00%. ConclusionBased on the microbial and parasitic testing results, the quality of rabbits and guinea pigs in Jiangxi Province is satisfactory. However, some issues persist with rats and mice. It is recommended to enhance the quality of experimental animals in Jiangxi Province by increasing the frequency of random inspections by quality testing units or by improving the self-inspection capabilities of production and user facilities.

Non-small cell lung cancer (NSCLC), as the predominant histological subtype of lung cancer, accounts for approximately 85% of all lung cancer cases. In recent years, immune checkpoint inhibitors (ICIs), represented by programmed death 1/programmed death ligand 1 (PD-1/PD-L1) inhibitors, have achieved breakthrough advancements in patients with driver gene-negative NSCLC. They have been established as a key component of first-line treatment regimens and have significantly improved clinical outcomes. However, limited clinical evidence has emerged showing the phenomenon of histological transformation from NSCLC to small cell lung cancer (SCLC) in patients experiencing disease progression after ICIs monotherapy or combination therapy. Systematic research data on the clinical characteristics, molecular biological basis, and subsequent treatment strategies for such transformation events are currently lacking. This article reports a case of SCLC transformation occurring in a patient with KRAS-mutated lung adenocarcinoma after 16 months of ICIs combination therapy and provides a systematic review of 22 similar published cases. The study demonstrates that small cell transformation is a critical mechanism of immunotherapy resistance, and transformed patients exhibit poor prognosis. The research emphasizes the importance of dynamic monitoring of neuron-specific enolase (NSE) and standardized repeat biopsies during treatment, providing a basis for clinical practice. This aids in enhancing the recognition and management capabilities for this rare histological transformation, ultimately improving patient outcomes.
Humans ; Immune Checkpoint Inhibitors/therapeutic use* ; Lung Neoplasms/immunology* ; Carcinoma, Non-Small-Cell Lung/immunology* ; Small Cell Lung Carcinoma/genetics* ; Male ; Middle Aged ; Female

Acute liver injury (ALI) serves as a critical precursor and major etiological factor in the progression and ultimate manifestation of various hepatic disorders. The prevention and treatment of ALI is still a serious global challenge. Given the limited therapeutic options for ALI, exploring novel targeted therapeutic agents becomes imperative. The potential therapeutic efficacy of inhibiting RIPK2 is highlighted, as it may provide significant benefits by attenuating the MAPK pathway and NF-κB signaling. Herein, we propose a CMD-OPT model, a two-stage molecular optimization tool for the rapid discovery of RIPK2 inhibitors with optimal properties. Compound RP20, which targets the ATP binding site, demonstrated excellent kinase specificity, ideal oral pharmacokinetics, and superior therapeutic effects in a model of APAP-induced ALI, positioning RP20 as a promising preclinical candidate. This marks the first application of RIPK2 inhibitors in ALI treatment, opening a novel therapeutic pathway for clinical applications. These results highlight the efficacy of the CMD-OPT model in producing lead compounds from known active molecules, showcasing its significant potential in drug discovery.

Cantharidin(CTD),a natural compound used to treat multiple tumors in the clinic setting,has been limited due to acute kidney injury(AKI).However,the major cause of AKI and its underlying mechanism remain to be elucidated.Serum creatinine(SCr)and blood urea nitrogen(BUN)were detected through pathological evaluation after CTD(1.5 mg/kg)oral gavage in mice in 3 days.Kidney lipidomics based on ultra-high performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)was used to investigate lipids disorder after CTD exposure in mice.Then,spatial metabolomics based on matrix-assisted laser desorption/ionization-mass spectrometry imaging(MALDI-MSI)was used to detect the kidney spatial distribution of lipids.Integrative analysis was performed to reveal the spatial lipid disorder mechanism and verify key lipids in vitro.The results showed that the levels of SCr and BUN were increased,and tubular necrosis was observed in mouse kidneys,resulting in acute tubular necrosis(ATN)in CTD-induced AKI.Then,lipidomics results revealed that after CTD exposure,232 differential lipid metabolites and 11 pathways including glycerophospholipid(GP)and sphingolipid(SL)metabolism were disrupted.Spatial metabolomics revealed that 55 spatial differential lipid metabolites and nine metabolic pathways were disturbed.Subsequently,integrative analysis found that GP metabolism was stimulated in the renal cortex and medulla,whereas SL metabolism was inhibited in the renal cortex.Up-regulated lysophosphatidylcholine(LysoPC)(18∶2(9Z,12Z)),LysoPC(16∶0/0∶0),glycerophosphocholine,and down-regulated sphingomyelin(SM)(d18∶0/16:0),SM(d 18∶1/24:0),and SM(d42∶1)were key differential lipids.Among them,LysoPC(16∶0/0∶0)was increased in the CTD group at 1.1196 μg/mL,which aggravated CTD-induced ATN in human kidney-2(HK-2)cells.LysoPC acyltransferase was inhibited and choline phos-photransferase 1(CEPT1)was activated after CTD intervention in mice and in HK-2 cells.CTD induces ATN,resulting in AKI,by activating GP metabolism and inhibiting SL metabolism in the renal cortex and medulla,LysoPC(16:0/0:0),LysoPC acyltransferase,and CEPT1 may be the therapeutic targets.

Objective To observe the value of 18F-D3FSP PET/CT machine learning(ML)models for evaluating subjective cognitive decline(SCD).Methods Thirty-two SCD patients(SCD group)and 16 healthy volunteers(control group)who received 18F-D3FSP PET/CT were selected from Sino Longitudinal Study on Cognitive Decline(SILCODE)and divided into training set(n=34)and test set(n=14)at a ratio of 7∶3.Support vector machine(SVM),random forest(RF)and logistic regression(LR)models were constructed based on Hamilton anxiety scale(HAMA)and standard uptake value ratio(SUVR)of brain regions being significantly different between groups to evaluate SCD.Then PET/CT data were amplified by format conversion and divided into training set(including 8 775 CT images and 1 833 PET images)and test set(including 2 025 CT images and 423 PET images)at the ratio of 8∶2.VGG16 models were constructed based on CT and PET images to evaluate SCD,respectively.Results The area under the receiver operating characteristic curve(AUC)of SVM,RF and LR model for evaluating SCD in training set was all 1.000,while was 0.863,0.872 and 1.000 in test set,respectively.LR model was overfitting,and RF model had better performance.The accuracy of VGG16 model for evaluating SCD based on CT and PET images tended to be stable after the 175th and 150th iterations,with the highest accuracy of 67.11％ and 65.35％ in training set,which tended to be stable after the 165th and 145th iterations,with the highest accuracy of 62.43％ and 59.16％ in test set,respectively.Conclusion 18F-D3FSP PET/CT ML models could be used to evaluate SCD.

Objective To investigate the relationship between sleep disorders and coronary heart disease through big data combined with Mendelian randomization analysis.Methods Data from 2005 to 2018 National Health and Nutrition Examination Survey in the United States were utilized.Logistic regression analysis was employed to evaluate the association between sleep disorders and coronary heart disease,while analyzing relevant influencing factors.A two-sample Mendelian randomization approach was implemented using Genome-Wide Association Studies to establish causal relationships.Results Logistic regression analysis demonstrated a significant association between sleep disorders and coronary heart disease(P＜0.001),with the neutrophil-to-lymphocyte ratio serving as a mediating factor in this relationship(P＜0.001).Mendelian randomization analysis revealed a positive correlation between sleep disorders and coronary heart disease(OR=1.030,95％CI:1.01-1.04).Conclusion Sleep disorders can increase the risk of coronary heart disease by activating inflammatory factors.

Objective:To explore the mediating role of work engagement in the relationship between fear of missing out (FoMO) and work well-being among standardized training nurses, and to examine the moderating role of feedback-seeking behavior.Methods:Using convenience sampling, a total of 293 standardized training nurses were recruited from two ClassⅢ Grade A hospitals in Wuhan, Hubei Province, from April to May 2024. Participants completed a demographic questionnaire, the Employee Fear of Missing Out Scale, Feedback-Seeking Behavior Scale, Short Version of the Utrecht Work Engagement Scale, and the Nurse Work Well-Being Scale.Results:FoMO was negatively correlated with work well-being. Work engagement partially mediated the relationship between FoMO and work well-being, accounting for 45.0% (-0.18/-0.40) of the total effect. Feedback-seeking behavior moderated both the relationship between FoMO and work engagement and the overall mediation pathway.Conclusions:FoMO among standardized training nurses affects their work well-being both directly and indirectly through work engagement. This mechanism is moderated by feedback-seeking behavior, highlighting the importance of enhancing work engagement and constructive feedback practices to improve well-being.

Objective:To explore the correlation of bone metabolism with vitamin D and vitamin K levels in children with glucocorticoid-induced osteoporosis (GIOP) .Methods:A total of 120 GIOP children admitted to Neonatal Department of the First People’s Hospital of Chenzhou City, Hunan Province from Oct. 2022 to Dec. 2024 (GIOP group) and children without osteoporosis who received glucocorticoid therapy during the same period (the control group) were studied. Bone mineral density (BMD), biochemical indexes of bone metabolism and serum 25-hydroxyvitamin D (25 (OH) D), vitamin K1 (VitK1) and VitK2 were determined. BMD and bone metabolism indexes of GIOP children with different levels of 25 (OH) D, VitK1 and VitK2 were compared and their correlation was analyzed. Multiple linear regression analysis was conducted to analyze the independent factors affecting low BMD in GIOP children.Results:GIOP group had lower BMD, serum 25 (OH) D, VitK1 and VitK2 levels ( t=33.03, 42.22, 65.30, 86.16, P<0.05), while higher PINP, β-CTX and N-MID levels ( t=17.98, 34.78, 2.58, P<0.05); The levels of VitK1, VitK2, BMD, PINP, β-CTX and N-MID in GIOP children with different vitamin D and K levels were statistically significant ( F =54.31, 36.77, 82.32, 32.40, 22.80, 5.23), among which BMD was the lowest and PINP, β-CTX and N-MID levels were the highest ( P<0.05); The levels of 25 (OH) D, VitK1 and VitK2 were positively correlated with BMD ( r=0.54, 0.39, 0.47, P<0.05), but negatively correlated with PINP, β-CTX and N-MID ( r = -0.43, -0.34, -0.38, -0.39, -0.45, -0.44, -0.29, -0.32, -0.51, P<0.05); 25 (OH) D, VitK1 and VitK2 were protective factors for low BMD ( t=-2.76, -2.55, -3.51, P<0.05), while PINP, β-CTX, N-MID and hormone use time were risk factors ( t=2.48, 2.19, 2.22, 2.06, P<0.05) . Conclusions:The level of bone metabolism in children with GIOP is closely related to the levels of vitamin D and vitamin K. With the decrease of vitamin D and vitamin K levels, the decrease of BMD is more obvious. Therefore, vitamin D and vitamin K should be supplemented in a timely and reasonable manner for such children.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.