Collagen-based materials, renowned for their biocompatibility and minimal immunogenicity, serve as exemplary substrates in a myriad of biomedical applications. Collagen-based micro/nanogels, in particular, are valued for their increased surface area, tunable degradation rates, and ability to facilitate targeted drug delivery, making them instrumental in advanced therapeutics and tissue engineering endeavors. Although extensive reviews on micro/nanogels exist, they tend to cover a wide range of biomaterials and lack a specific focus on collagen-based materials. The current review offers an in-depth look into the manufacturing technologies, drug release mechanisms, and biomedical applications of collagen-based micro/nanogels to address this gap. First, we provide an overview of the synthetic strategies that allow the precise control of the size, shape, and mechanical strength of these collagen-based micro/nanogels by controlling the degree of cross-linking of the materials. These properties are crucial for their performance in biomedical applications. We then highlight the environmental responsiveness of these collagen-based micro/nanogels, particularly their sensitivity to enzymes and pH, which enables controlled drug release under various pathological conditions. The discussion then expands to include their applications in cancer therapy, antimicrobial treatments, bone tissue repair, and imaging diagnosis, emphasizing their versatility and potential in these critical areas. The challenges and future perspectives of collagen-based micro/nanogels in the field are discussed at the end of the review, with an emphasis on the translation to clinical practice. This comprehensive review serves as a valuable resource for researchers, clinicians, and scientists alike, providing insights into the current state and future directions of collagen-based micro/nanogel research and development.
Collagen/chemistry* ; Drug Delivery Systems/methods* ; Humans ; Tissue Engineering/methods* ; Animals ; Biocompatible Materials/chemistry*

As the main body of scientific research and innovation in hospitals,timely understanding of medical person-nel's scientific research outputs and its influencing factors has practical guiding significance for hospital management to identify scientific research talents,formulate targeted training programs,customize relevant science and technology policies,etc.This ar-ticle will comprehensively elaborate the concept of scientific research outputs,evaluation methods and influencing factors of scien-tific research outputs among medical personnel.Meanwhile,the article will provide suggestions for influencing factors,in order to provide references for the hospital management in the future.

Objective:This study aimed to analyze the prognostic risk factors for hepatoid adenocarcinoma of the stomach (HAS) and construct two nomogram-based clinical prediction models to predict overall survival (OS) and recurrence-free survival (RFS) in patients with HAS.Methods:Data were retrospectively collected from 82 patients (64 males, 18 females; mean age 60.3 ± 9.4 years) who underwent radical gastrectomy and were pathologically diagnosed with gastric hepatoid adenocarcinoma at the First Medical Center of the PLA General Hospital between February 2006 and September 2023. Statistical analyses were conducted using SPSS 25.0 and R 4.3.2. Survival analyses were performed using the Kaplan-Meier method, and univariate analyses were used to identify clinical and pathological factors associated with prognosis. Variables with P<0.05 in the univariate analysis were included in multivariate Cox regression models to identify independent risk factors for OS and RFS. These factors were incorporated into the prediction models to construct nomograms. The discriminatory power of the models was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) analyses, while calibration curves, decision curve analysis (DCA), and comparisons with the 8th edition of the TNM staging system of the American Joint Committee on Cancer (AJCC) were employed to evaluate model performance. Results:Among the 82 patients, 36 (43.9%) exhibited vascular infiltration, 61 (74.4%) had nerve infiltration, and lymph node metastasis was observed in 60 cases (73.2%). Pathological stages I, II, III, and IV were distributed as 11 (13.4%), 26 (31.7%), 44 (53.7%), and 1 (1.2%) cases, respectively. Inflammatory markers included neutrophil-to-lymphocyte ratio (NLR) ≥ 4.33 in 22 cases (26.8%), platelet-to-lymphocyte ratio (PLR) ≥ 142.2 in 50 cases (61.0%), monocyte-to-lymphocyte ratio (MLR) ≥ 0.411 in 22 cases (26.8%), α-fetoprotein (AFP) ≥ 2.48 μg/L in 64 cases (78.0%), and C-reactive protein (CRP) ≥ 7.506 mg/L in 12 cases (14.6%). Among the 82 patients, 3 cases (3.6%) were lost to follow-up. The median follow-up time was 52 (range: 8–147) months, with a median OS of 61(2–147) months. The 1-year and 3-year OS rates were 78.5% and 58.5%, respectively, while the 1-year and 3-year RFS rates were 77.3% and 60.3%, respectively. Multivariate analysis identified several independent risk factors influencing OS in patients with HAS: advanced pathological stage, MLR ≥ 0.411, AFP ≥ 2.545 μg/L, and CRP ≥ 7.51 mg/L. The hazard ratios (HRs) and 95% confidence intervals (CIs) were as follows: 5.218 (1.230–22.143), 2.610 (1.287–5.294), 2.950 (1.013–8.589), and 2.594 (1.145–5.877), respectively (all P < 0.05). For RFS, advanced pathological stage, PLR ≥ 152.0, and MLR ≥ 0.411 were independent risk factors, with HRs (95% CIs) of 4.735 (1.080–20.760), 3.759 (1.259–11.226), and 2.714 (1.218–6.048), respectively (all P < 0.05). The AUC values for OS prediction at 1 year, 3 years, and 5 years were 0.7765, 0.7525, and 0.7702, respectively. For RFS, the AUC values were 0.7304, 0.8137, and 0.8307 at 1 year, 3 years, and 5 years, respectively. The calibration curves demonstrated strong agreement between nomogram- predicted outcomes and observed survival data. DCA indicated that both TNM staging and the nomogram-based clinical prediction models provided a net positive benefit in predicting OS and RFS in HAS patients, with the nomogram model demonstrating superior performance. Conclusion:The nomogram-based clinical prediction models developed in this study demonstrated robust performance in predicting long-term OS and RFS in patients with HAS.

As the main body of scientific research and innovation in hospitals,timely understanding of medical person-nel's scientific research outputs and its influencing factors has practical guiding significance for hospital management to identify scientific research talents,formulate targeted training programs,customize relevant science and technology policies,etc.This ar-ticle will comprehensively elaborate the concept of scientific research outputs,evaluation methods and influencing factors of scien-tific research outputs among medical personnel.Meanwhile,the article will provide suggestions for influencing factors,in order to provide references for the hospital management in the future.

Objective:This study aimed to analyze the prognostic risk factors for hepatoid adenocarcinoma of the stomach (HAS) and construct two nomogram-based clinical prediction models to predict overall survival (OS) and recurrence-free survival (RFS) in patients with HAS.Methods:Data were retrospectively collected from 82 patients (64 males, 18 females; mean age 60.3 ± 9.4 years) who underwent radical gastrectomy and were pathologically diagnosed with gastric hepatoid adenocarcinoma at the First Medical Center of the PLA General Hospital between February 2006 and September 2023. Statistical analyses were conducted using SPSS 25.0 and R 4.3.2. Survival analyses were performed using the Kaplan-Meier method, and univariate analyses were used to identify clinical and pathological factors associated with prognosis. Variables with P<0.05 in the univariate analysis were included in multivariate Cox regression models to identify independent risk factors for OS and RFS. These factors were incorporated into the prediction models to construct nomograms. The discriminatory power of the models was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) analyses, while calibration curves, decision curve analysis (DCA), and comparisons with the 8th edition of the TNM staging system of the American Joint Committee on Cancer (AJCC) were employed to evaluate model performance. Results:Among the 82 patients, 36 (43.9%) exhibited vascular infiltration, 61 (74.4%) had nerve infiltration, and lymph node metastasis was observed in 60 cases (73.2%). Pathological stages I, II, III, and IV were distributed as 11 (13.4%), 26 (31.7%), 44 (53.7%), and 1 (1.2%) cases, respectively. Inflammatory markers included neutrophil-to-lymphocyte ratio (NLR) ≥ 4.33 in 22 cases (26.8%), platelet-to-lymphocyte ratio (PLR) ≥ 142.2 in 50 cases (61.0%), monocyte-to-lymphocyte ratio (MLR) ≥ 0.411 in 22 cases (26.8%), α-fetoprotein (AFP) ≥ 2.48 μg/L in 64 cases (78.0%), and C-reactive protein (CRP) ≥ 7.506 mg/L in 12 cases (14.6%). Among the 82 patients, 3 cases (3.6%) were lost to follow-up. The median follow-up time was 52 (range: 8–147) months, with a median OS of 61(2–147) months. The 1-year and 3-year OS rates were 78.5% and 58.5%, respectively, while the 1-year and 3-year RFS rates were 77.3% and 60.3%, respectively. Multivariate analysis identified several independent risk factors influencing OS in patients with HAS: advanced pathological stage, MLR ≥ 0.411, AFP ≥ 2.545 μg/L, and CRP ≥ 7.51 mg/L. The hazard ratios (HRs) and 95% confidence intervals (CIs) were as follows: 5.218 (1.230–22.143), 2.610 (1.287–5.294), 2.950 (1.013–8.589), and 2.594 (1.145–5.877), respectively (all P < 0.05). For RFS, advanced pathological stage, PLR ≥ 152.0, and MLR ≥ 0.411 were independent risk factors, with HRs (95% CIs) of 4.735 (1.080–20.760), 3.759 (1.259–11.226), and 2.714 (1.218–6.048), respectively (all P < 0.05). The AUC values for OS prediction at 1 year, 3 years, and 5 years were 0.7765, 0.7525, and 0.7702, respectively. For RFS, the AUC values were 0.7304, 0.8137, and 0.8307 at 1 year, 3 years, and 5 years, respectively. The calibration curves demonstrated strong agreement between nomogram- predicted outcomes and observed survival data. DCA indicated that both TNM staging and the nomogram-based clinical prediction models provided a net positive benefit in predicting OS and RFS in HAS patients, with the nomogram model demonstrating superior performance. Conclusion:The nomogram-based clinical prediction models developed in this study demonstrated robust performance in predicting long-term OS and RFS in patients with HAS.

Objective To explore the impact of δ-catenin expression level on resting-state brain function in breast cancer patients.Methods Totally 104 female breast cancer patients were prospectively enrolled and divided into δ-catenin high expression group(DH group,n=51)and δ-catenin low expression group(DL group,n=53)according to δ-catenin expression level,while 36 female healthy volunteers were selected as controls(control group).Neuropsychological tests were performed,and resting-state functional MRI(rs-fMRI)were acquired,then parameters of brain function,including amplitude of low frequency fluctuation(ALFF),fractional ALFF(fALFF),regional homogeneity(ReHo)and functional connectivity strength(FCS)of brain regions with differences among groups were obtained.Spearman correlation analysis was used to evaluate the correlations of function parameters of brain regions with general data and neuropsychological test scores.Results Significant differences of fALFF,ReHo and FCS values were found among 3 groups(familywise error rate[FWE]correction,all P＜0.05).fALFF value of left inferior temporal gyrus in DH and DL groups were both higher than that in control group(FWE correction,both P＜0.05),ReHo value of right inferior temporal gyrus in DH group,as well as of right middle temporal gyrus,right inferior temporal gyrus and right fusiform gyrus in DL group were all lower than that in control group(FWE correction,all P＜0.05),FSC value of left lenticular nucleus,left putamen,left fusiform gyrus,left calcarine fissure surrounding cortex and left inferior temporal gyrus in DH group were all higher than that in DL group(FWE correction,all P＜0.05),FSC value of left lenticular nucleus,left putamen,left fusiform gyrus and left calcarine fissure surrounding cortex in DH group were all higher than that in control group(FWE correction,all P＜0.05),while FSC value of left lingual gyrus,left lenticular nucleus and left putamen were both higher than that in control group(FWE correction,both P＜0.05).In brain regions with different fMRI indexes between DH group and DL group,FSC values were lowly positively correlated with CogPCA results(r=0.313,P＜0.05).In brain regions with different fMRI indexes between DH group and control group,fALFF value were lowly positively correlated with trail making test A(TMT A)and trail making test B(TMT B)(r=0.301,0.310,both P＜0.05),ReHo values were lowly negatively correlated with TMT B(r=-0.307,P＜0.05),FCS values were weakly/lowly positively correlated with TMT A and TMT B(r=0.282,0.309,both P＜0.05)and lowly negatively correlated with results of digital symbol substitution test(DSST)(r=-0.363,P＜0.05).In brain regions with different fMRI indexes between DL group and control group,fALFF values were weakly/lowly negatively correlated with results of mini mental state examination(MMSE),Montreal cognitive assessment(MoCA),auditory verbal learning test(AVLT)short-term memory and DSST(r=-0.399,-0.362,-0.344,-0.288,all P＜0.05).Conclusion The expression level of δ-catenin had certain impact on brain function of breast cancer patients,resulted in asymmetry changes of brain network in bilateral hemispheres,as well as memory loss through affecting left inferior temporal gyrus,left lenticular nucleus,left putamen and left fusiform gyrus.

Objective:To investigate the risk factors of pathological complete response(pCR)after neoadjuvant therapy for locally advanced gastric cancer(LAGC)and assess the value of gastric tumor markers for predicting pCR in LAGC patients.Methods:We retrospectively ana-lyzed the clinical and pathological characteristics of 213 patients who underwent radical gastrectomy and gastric tumor marker analysis after neoadjuvant therapy at The Chinse PLA General Hospital First Medical Center,between January 2020 and April 2024(20 and 193 cases in the pCR and non-pCR groups,respectively).The interrelationships among pCR,tumor markers,and clinicopathological features were compared,and independent risk factors for pCR were analyzed.A nomogram was constructed to predict the pCR.Results:Among 213 patients,20(9.4% )achieved pCR.Univariate analysis showed that age(P=0.067),tumor bed diameter(P<0.001),gastrin-17 levels(P=0.005),CA72-4 levels(P=0.073),pepsinogen ratio(P=0.024),and neoadjuvant immunotherapy(P=0.022)were strongly associated with pCR in LAGC pa-tients.Multivariate analysis showed that neoadjuvant immunotherapy,CA72-4 levels<2.5 U/mL,gastrin-17 levels<1.48 pmol/L,and tumor bed diameter<2.85 cm were independent predictive factors for pCR in LAGC patients(P<0.05).These indicators were incorporated into a nomogram prediction model;an receiver operating characteristic curve(ROC)was plotted with an AUC(95% CI)of 0.863(0.785-0.942).The calibration and decision curves suggested that the nomogram was well calibrated and had a good net benefit.Conclusions:Gastric tumor markers can effectively predict pCR after neoadjuvant therapy in LAGC patients.Our nomogram showed a good predictive ability for pCR.Thus,our findings can serve as a useful reference for clinical decision making for LAGC patients.

OBJECTIVE To study the protective effect of saikosaponin b2(SSb2)on corticosterone(CORT)induced PC12 cell injury and its mechanism.METHODS ① PC12 cells were divided into the cell control group(24 h of culture with RPMI-1640 medium),CORT group(24 h of culture with CORT 100-800 μmol·L-1)and SSb2 group(24 h of culture with SSb2 1.5625,3.125,6.25,12.5,25,50 and 100 μmol·L-1).MTT assay was used to detect the cell survival rate.②PC12 cells were divided into the cell control group(24 h of culture with RPMI 1640 medium),model group(24 h of culture with CORT 400 μmol·L-1),and model+SSb2 group(3 h pretreatment with SSb2 1.5625,3.125,6.25,12.5 and 25 μmol·L-1,removal of the supernatant before cells were co-incubated with CORT 400 μmol·L-1 and corresponding concentrations of SSb2 for 24 h).MTT assay was used to detect the cell survival rate while micro-plate assay was used to detect the lactate dehydrogenase(LDH)leakage rate of PC12 cells.③PC12 cells were divided into the cell control group,model group and model+SSb2 12.5 μmol·L-1 group.AnnexinV-FITC/PI flow cytometry assay was used to detect PC12 cell apoptosis,ultra-perfor-mance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS)cell metabonomics was used to detect metabolic profile changes and colorimetric assay was employed to detect the glutamic acid content and glutaminase activity in PC12 cells.RESULTS Compared with the cell control group,the cell viability decreased to(55±6)%(P<0.01)when the concentration of CORT was 400 μmol·L-1.When the concentration of SSb2 was higher than 50 μmol·L-1,there was significant toxicity to PC12 cells(P<0.01).②Compared with the cell control group,the cell survival rate was signif-icantly decreased(P<0.01),while the release rate of LDH was significantly increased(P<0.01)in the model group.Compared with the model group,the cell survival rate significantly increased(P<0.05,P<0.01),while the LDH release rate significantly decreased(P<0.01)in the model+SSb2 group.③ Com-pared with the cell control group,cell apoptosis was significantly increased in the model group(P<0.05).Compared with the model group,cell apoptosis was significantly decreased(P<0.05)in the model+ SSb2 group.Metabolomics results show that SSb2 significantly back-regulated nine differential metabo-lites of glutamate,creatine,N-acetylaspartate,L-tyrosine,citric acid,L-isoleucine,lactic acid,glutamine and choline.Further network analysis of the key metabolites regulated by SSb2 yielded five major metabolic pathways:D-glutamine and D-glutamate metabolism,phenylalanine,tyrosine and tryptophan biosynthesis,alanine,aspartate and glutamate metabolism,tyrosine metabolism and arginine biosynthesis.Compared with the cell control group,the content of glutamate and activity of glutaminase were significantly decreased in the model group(P<0.01).Compared with the model group,the content of glutamate(P<0.01)and activity of glutaminase(P<0.05)were significantly increased in the model+SSb2 group.CONCLUSION SSb2 has a neuroprotective effect on CORT-injured PC12 cells,and the mechanism of which is related to inhibition of apoptosis and regulation of metabolic disorders.

ObjectiveTo provide scientific support for the compilation of high-quality anti-nuclear， biological， and chemical （NBC） medical textbooks in China by retrieving books in the field of biological weapons defense in China， summarizing the publication time and distribution of publishing institutions， and categorizing content and key points of related books. MethodsRelevant subject terms in the field of biological weapons defense were searched through the official website of China National Digital Library and other websites， up until December 31， 2023， and were limited to books. Topic analysis was conducted on the introductions and contents of the books using the latent Dirichlet allocation （LDA） model. The number of topics was determined based on perplexity， and topics were identified according to the intertopic distance map， followed by a qualitative description of the core content of each topic. ResultsA total of 104 books were included in this study， among which four were identified as higher educational textbooks. The volume of publications increased during the periods 2002‒2004 and 2020‒2023. Research institutions accounted for the highest percentage of publishers （37.78%）， and 56.67% of the publishers were military institutions. The study identified six topics： "distribution， defense， and response to biological weapons"， "category， diagnosis， and treatment of biological warfare agents"， "response to biological public health emergencies"， "status of nuclear， biological， and chemical weapons internationally"， "biosafety risk management and prevention and control"， and "technologies and equipment related to biological hazard identification". ConclusionThere are few books in the field of biological weapons defense in China and the content is relatively outdated. In the future， the preparation of teaching materials should be aimed at practical emergency handling techniques for biological weapons， enhance the emphasis on biological weapons detection and biological warfare early warning， improve the fundamental theories at different training levels， and timely update the current research status in the field.

Chaigui granules(CG)are a compound composed of six herbal medicines with significant antidepressant effects.However,the antidepressant mechanism of CG remains unclear.In the present study,we attempted to elucidate the antidepressant mechanism of CG by regulating purine metabolism and purinergic signaling.First,the regulatory effect of CG on purine metabolites in the prefrontal cortex(PFC)of chronic unpredictable mild stress(CUMS)rats was analyzed by ultra high-performance liquid chro-matography tandem mass spectrometry(UHPLC-MS/MS)targeted quantitative analysis.Meanwhile,purinergic receptors(P2X7 receptor(P2X7R),A1 receptor(A1R)and A2A receptor(A2AR))and signaling pathways(nod-like receptor protein 3(NLRP3)inflammasome pathway and cyclic adenosine mono-phosphate(cAMP)-protein kinase A(PKA)pathway)associated with purine metabolism were analyzed by western blotting and enzyme-linked immunosorbent assay(ELISA).Besides,antidepressant mecha-nism of CG by modulating purine metabolites to activate purinergic receptors and related signaling pathways was dissected by exogenous supplementation of purine metabolites and antagonism of puri-nergic receptors in vitro.An in vivo study showed that the decrease in xanthine and the increase in four purine nucleosides were closely related to the antidepressant effects of CG.Additionally,purinergic re-ceptors(P2X7R,A1R and A2AR)and related signaling pathways(NLRP3 inflammasome pathway and cAMP-PKA pathway)were also significantly regulated by CG.The results of exogenous supplementation of purine metabolites and antagonism of purinergic receptors showed that excessive accumulation of xanthine led to activation of the P2X7R-NLRP3 inflammasome pathway,and the reduction of adenosine and inosine inhibited the A1R-cAMP-PKA pathway,which was significantly ameliorated by CG.Overall,CG could promote neuroprotection and ultimately play an antidepressant role by inhibiting the xanthine-P2X7R-NLRP3 inflammasome pathway and activating the adenosine/inosine-A1R-cAMP-PKA pathway.