ObjectiveTo compare the histological staining performance of four various tissue fixatives, including a self-developed fixative, for preparing paraffin sections of rat eyeball tissue. MethodsTwenty 5-week-old male Sprague-Dawley (SD) rats were randomly divided into 4 groups (n=5 per group). After anesthesia by intraperitoneal injection of Zoletil™ 50 at a dose of 45 mg/kg body weight, the rats were euthanized by exsanguination via the abdominal aorta. Bilateral eyeballs were carefully extracted intact and fixed for 72 h in 10% formaldehyde fixative, glutaraldehyde-formaldehyde mixed fixative, Davidson's fixative, and self-developed fixative, respectively. After fixation, the eyeballs were longitudinally sectioned along the optic nerve, with the portions containing the optic nerve preserved. The tissues were then dehydrated, embedded, and sectioned. Following hematoxylin and eosin (HE) staining, histological staining quality was compared among ocular structures including the cornea, lens, and retina. ResultsThe overall appearance of rat eyeballs showed marked shrinkage in the 10% formaldehyde group and the glutaraldehyde-formaldehyde group, whereas the eye morphology remained round and intact in the modified Davidson's fixative group and self-developed fixative group. The corneal stroma exhibited obvious rupture, and the cells were arranged in folded arrangement in the modified Davidson's fixative group, 10% formaldehyde group, and self-developed fixative group. In contrast, the corneal cells in the glutaraldehyde-formaldehyde group were neatly arranged, showing no rupture or folding, and exhibited clear staining, indicating the highest quality of corneal sectioning among all groups. In the 10% formaldehyde group, cracks were observed in the equatorial and cortical regions of the lens, but the lens fiber structure remained intact. The lenses in the modified Davidson's fixative group showed extensive rupture and detachment. The glutaraldehyde-formaldehyde group displayed only slight cracks at the equator. In the self-developed fixative group, mild red folding was limited to the peripheral lens region, with the remaining structures intact and unbroken. These findings indicated that the glutaraldehyde-formaldehyde and self-developed fixative groups achieved the best lens sectioning quality. The retina was severely detached from the choroid/sclera layer, with extensive rupture of each cellular layer in the 10% formaldehyde fixative group. In the glutaraldehyde-formaldehyde group, partial detachment between the retina and choroid/sclera was observed. The outer plexiform layer and nerve fiber layer showed separation with edema, while the cells in all layers were neatly arranged. In both the Davidson's fixative and the self-developed fixative groups, the retina remained intact without rupture, and no structural separation was observed in any layer. Both demonstrated advantages in preserving the integrity and orderly arrangement of all retinal layers; however, the self-developed fixative group exhibited greater contrast. ConclusionThe choice of fixative significantly affects the morphological preservation of various structures in the rat eye. The self-developed fixative demonstrates the best overall performance in maintaining overall eye morphology, the structural integrity of the lens, and retinal adhesion. For studies focusing solely on the corneal structure, the glutaraldehyde-formaldehyde mixed fixative is recommended. The 10% formaldehyde fixative exhibits unsatisfactory fixation effects for all the aforementioned ocular structures and is not recommended for detailed morphological studies of eyeball tissues.

As a major challenge in the global field of critical care medicine, sepsis is associated with high morbidity and mortality, driving intensive research into the development of precise risk prediction models. Among these, machine learning and deep learning-based predictive models have garnered particular attention. This article systematically reviews the evolution of sepsis risk prediction models and the challenges associated with their clinical translation, with a focus on their clinical applicability in common septic complications, including acute kidney injury, encephalopathy, and coagulation disorders. Current evidence indicates that machine learning models, by integrating multidimensional dynamic data from electronic health records, significantly enhance early warning capabilities and individualized predictive performance. However, major bottlenecks limiting clinical translation include insufficient data standardization, lack of model interpretability, and inadequate external validation. Future research should prioritize multicenter collaboration, time-series modeling strategies, and explainable artificial intelligence frameworks to optimize clinical translation pathways and facilitate the paradigm shift from traditional empirical approaches to data-driven precision strategies in sepsis risk stratification.

Background With the widespread application of ionizing radiation technology in non-medical fields, the number of non-medical radiation workers has steadily increased over the years. Individual dose monitoring serves as a crucial measure to safeguard the occupational health of non-medical radiation workers, as it can accurately identify occupational health risks and optimize radiation protection strategies. Objective To analyze the individual monitoring data of radiation workers from partial non-medical sectors in Shanghai from 2016 to 2023, to obtain the status of occupational radiation exposure and to provide a reference basis for non-medical radiation hygiene supervision and protection management. Methods The study subjects consisted of radiation workers from non-medical institutions in Shanghai who recieved individual dose monitoring at a Class-A radiation health technical service institution between 2016 and 2023. Under the Specifications for individual monitoring of occupational external exposure (GBZ 128-2019), thermoluminescence dosimetry was used for measuring personal dose equivalent, H_p(10), of various occupations encompassing industrial irradiation, industrial radiography, radioisotope production, accelerator operation, other industrial applications, education, and veterinary medicine. Kruskal-Wallis H test was used for comparison among multiple groups, Bonferroni method was adopted for pairwise comparison, and Mann-Kendall test was conducted for trend analysis to analyze the per-capita annual effective dose and its variation over time across different occupational categories of radiation workers. Results A total of 13728 person-times of non-medical radiation workers were monitored from 2016 to 2023, accumulating a collective effective dose of 3025.69 person-mSv. The per-capita annual effective dose M(P₂₅, P₇₅) was 0.14(0.08, 0.25) mSv. There were statistically significant differences in the per-capita annual effective dose of radiation workers in different years (H=874.826, P< 0.05). Similarly, significant variations were identified among various occupational categories (H=115.569, P< 0.05). Among them, the per-capita annual effective dose of radiological workers engaged in the production of radioactive isotopes was the highest, at 0.21(0.14, 0.32) mSv, followed by those in veterinary medicine, at 0.17 (0.11, 0.61) mSv; the difference between these two groups was not statistically significant (Z=1.231, P > 0.05), but both were significantly higher than those in other occupational categories (Z=3.913, 9.761, P<0.05). The veterinary medicine category had the highest proportion of monitored individuals with annual effective dose exceeding 1 mSv to the total number of monitored individuals(NR₁), reaching 17.12%, and the industrial radiography category showed the highest proportion of workers exposed to more than the annual investigation level 5 mSv to the total number of monitored individuals (NR₅), at 0.16%. Conclusion From 2016 to 2023, the overall individual doses of some non-medical radiation workers in Shanghai remain low, indicating well-controlled radiation levels in workplaces and low exposure risks. It is necessary to focus on radiation workers engaged in radioisotope production, veterinary medicine and industrial radiography.

Objective To investigate the changes in the tumor microenvironment of pancreatic cancer(PDAC)complicated with diabetes mellitus(DM)in a mouse model of hyperglycemia and orthotopic pancreatic cancer by analyzing transcriptome and single-cell transcriptome data in order to identify potential therapeutic targets.Method By integrating single-cell transcriptome and bulk transcriptome data,bioinformatics analysis was conducted to compare the characteristics of tumor cells and tumor immune microenvironment between PDAC patients with DM(DM group)and those without DM(non-DM group).Twenty male C57BL/6 mice(6 weeks old,weighing 18～20 g)were randomly divided into a hyperglycemic group[STZ group,continuous intraperitoneal injection of 50 mg/kg streptozocin(STZ)(final concentration of 1％)dissolved in citrate buffer],and a control group(Control group,an equivalent volume of citrate buffer without STZ at the same time points),with 10 mice in each group.Tail-tip blood glucose level was measured to monitor glycemic status.After orthotopic inoculation of pancreatic cancer cells in both Control and STZ groups,tumor-infiltrating immune cells were harvested.Flow cytometry was employed to determine the effects of hyperglycemia on:total CD8+T cell and Treg cell populations;CD8+T cell subsets expressing Ki67,TNF-α,granzyme B(GZMB)and IFN-γ;surface expression of PD-1,lymphocyte activation gene-3(LAG-3)and T cell immunoglobulin and mucin domain-3(Tim-3)on CD8+T cells;programmed death-ligand 1(PD-L1)expression on tumor cells;and tumor-associated macrophage surface expression of major histocompatibility complex classⅠ(MHC-Ⅰ)and cluster of differentiation 206(CD206).Results Bioinformatics analysis revealed that,compared to the non-DM group,the genes significantly up-regulated in the DM group were associated with poor prognosis(P＜0.001).The proportion of type 2 ductal cells was increased in the DM group,exhibiting higher levels of copy number variation(P＜0.001).In the tumor immune microenvironment of the DM group,there was an increase in the proportion of Treg cells(P＜0.05)and an elevated exhaustion score for CD8+T cells(P＜0.001),accompanied by down-regulated expression of effector molecules,up-regulated expression of inhibitory checkpoints,and a significant increase in the M2 score of M2-like macrophages(P＜0.001).Animal experiments and flow cytometry found that,compared to the Control group,the STZ group had a shorter survival time(P＜0.001),with decreased proportions of total CD8+T cells(P＜0.01)and CD8+T cells expressing Ki67,TNF-α,GZMB and IFN-γ(P＜0.01),increased proportion of Treg cells(P＜0.001),up-regulated expression of PD-1,LAG-3 and Tim-3 on the surface of CD8+T cells(P＜0.001),and up-regulation of PD-L1 on tumor cell surface(P＜0.001)and enhanced expression of CD206 on the surface of tumor-associated macrophages,while down-regulated expression of MHC-Ⅰ(P＜0.001).Conclusion High glucose promotes the formation of an immunosuppressive microenvironment in PDAC,and targeting type 2 ductal cells and immunosuppressive cells in the tumor microenvironment,combined with dual immune checkpoint antibody therapy,may improve patient prognosis.

The epidermal growth factor receptor (EGFR) exon 20 insertion (ex20ins) mutation is a rare subtype of mutations in non-small cell lung cancer (NSCLC). Patients with advanced NSCLC carrying the EGFR ex20ins mutation tend to have poor responses to traditional EGFR tyrosine kinase inhibitors (TKIs), chemotherapy, and immunotherapy, leading to a poor clinical prognosis. Significant progress has been made in the development of new drugs targeting the EGFR ex20ins mutation. The research on new drugs targeting EGFR ex20ins mutations has made significant progress. The main ones include new EGFR-TKIs (such as sunvozertinib, mobocertinib, and furmetinib, etc.), bispecific antibodies (such as amivantamab, JMT101, and GB263T, etc.), and emerging drugs such as AUY922. These agents have demonstrated promising efficacy in clinical trials, improving the objective response rate and progression-free survival of patients, and are expected to improve overall survival. An in-depth analysis of the mechanism of action and clinical trial progress of these novel targeted drugs for EGFR ex20ins-mutated NSCLC can offer new therapeutic strategies for patients with EGFR ex20ins-mutated NSCLC.

Objective: To investigate the effects of "liver-smoothing and spirit-regulating" acupuncture on the intestinal flora, lipopolysaccharide (LPS) and the hippocampal toll-like receptor 4 (TLR4)/ transcription factor (NF)-κB signaling pathway in depressive disorder mouse model, and to explore its underlying mechanisms. Methods: Eighteen male SPF-grade C57BL/6J mice were randomly assigned to the control, model, and acupuncture groups using a random number method, with six mice in each group. The depression disorder model was induced in mice from both the acupuncture and model groups using CUMS. The mice in the acupuncture group were treated with acupuncture at the acupoints of "Baihui" (DU20), "Yintang" (DU29), "Hegu" (LI4), and "Taichong" (LR3) on the 15th day of modeling, with a duration of 20 min per session, once per day, for 2 consecutive weeks. Behavioral differences were assessed using the sucrose preference test, open field test, and forced swim test. Hematoxylin-eosin staining was used to observe pathological changes in the hippocampus and colon. The levels of the inflammatory factors interleukin (IL)-1β, IL-6, tumor necrosis factor (TNF)-α, and LPS in the hippocampus and colon were measured using Enzyme-linked Immunosorbent Assay. Western blotting was used to detect the expression of TLR4 and NF-κB protein in the hippocampus. Changes in gut microbiota structure and abundance were analyzed by 16 S rDNA sequencing. Results: Compared to the control group, the model group showed reduced sucrose preference rate, time in the center area, and total distance, with an increase in immobility time (P<0.01). Inflammatory pathological changes were observed in the hippocampal CA1 region and colon. The contents of IL-1β, IL-6, TNF-α, and LPS in the hippocampus and colon increased (P<0.01). The protein expression levels of hippocampal TLR4 and NF-κB were increased (P<0.01). The Chao1 index was increased (P<0.01). The relative abundances of Pseudomonadales, Acinetobacter, Moraxellaceae, Solibacillus, Escherichia_shigella, Enterobacteriaceae, Enterobacterales, Dubosiella, and Erysipelottichales were decreased, while the relative abundances of Alloprevotella and gram_negative_bacteriurh_cTPY_13 were increased (P<0.05). The pathways of lipopolysaccharide biosynthesis and pathogenic Escherichia coli infection were upregulated, and the pathway of terpenoid backbone biosynthesis was downregulated (P<0.01). Compared to the model group, the acupuncture group showed increased sucrose preference, time in the center area, and total distance, with a decrease in immobility time (P<0.01). The inflammatory pathological changes in the hippocampal CA1 region and colon were alleviated. The contents of IL-1β, IL-6, TNF-α, and LPS in the hippocampus and colon were reduced(P<0.01). The protein expression levels of hippocampal TLR4 and NF-κB were reduced (P<0.01). The Chao1 index was decreased (P<0.05), and the relative abundances of Dubosiella and Erysipelotrichaceae were increased, while the relative abundance of Rikenellaceae, Alloprevotella, and gram_negative_bacteriuch_cTPY_13 were decreased(P<0.05). The pathways of lipopolysaccharide biosynthesis and pathogenic Escherichia coli infection were significantly downregulated, and the pathway of terpenoid backbone biosynthesis was upregulated (P<0.01). Conclusion " Liver-smoothing and spirit-regulating" acupuncture can improve depressive symptoms in depressive disorder mice, potentially through regulating the LPS and TLR4/NF-κB signaling pathway mediated by intestinal flora, reducing the inflammatory response of the hippocampus, and improving the pathological injury of the hippocampus.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1％of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9％)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5％)was lower than that in inpatient children(31.5％).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1％)than in inpatient children(59.4％).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14％,11.7％,47.8％in outpatients,but 24.2％,20.6％,and 52.8％in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.

Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)％.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0％vs 29.5％).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7％vs 7.8％,0.8％vs 0.1％,both P＜0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)％with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9％and 1.8％,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1％).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10％.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P＜0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.