Hypertrophic scar is a fibrous hyperplastic disorder that arises from skin injuries. The current therapeutic modalities are constrained by the dense and rigid scar tissue which impedes effective drug delivery. Additionally, insufficient autophagic activity in fibroblasts hinders their apoptosis, leading to excessive matrix deposition. Here, we developed an active microneedle (MN) system to overcome these challenges by integrating micromotor-driven drug delivery with autophagy regulation to remodel the scar microenvironment. Specifically, sodium bicarbonate and citric acid were introduced into the MNs as a built-in engine to generate CO₂ bubbles, thereby enabling enhanced lateral and vertical drug diffusion into dense scar tissue. The system concurrently encapsulated curcumin (Cur), an autophagy activator, and triamcinolone acetonide (TA), synergistically inducing fibroblast apoptosis by upregulating autophagic activity. In vitro studies demonstrated that active MNs achieved efficient drug penetration within isolated scar tissue. The rabbit hypertrophic scar model revealed that TA-Cur MNs significantly reduced the scar elevation index, suppressed collagen I and transforming growth factor-β1 (TGF-β1) expression, and elevated LC3 protein levels. These findings highlight the potential of the active MN system as an efficacious platform for autonomous augmented drug delivery and autophagy-targeted therapy in fibrotic disorder treatments.

A 38-year-old male patient with ankylosing spondylitis received subcutaneous injection of adalimumab 40 mg once every 2 weeks. After 21 months of medication, the patient developed fever, fatigue, swelling, and pain in the right neck lymph node and throat. Laboratory tests showed that the tuberculin test was strong positive, mycobacterium tuberculosis γ-interferon release test was 1 911.98 ng/L, and erythrocyte sedimentation rate was 27 mm/1 h. The biopsy of right neck lymph node showed granulomatous inflammation of the lymph node. The patient was diagnosed with cervical lymph node tuberculosis, which was considered to be related to adalimumab. The drug was stopped and anti-tuberculosis treatments were given. The next day, the patient′s temperature returned to normal. After 5 days, the swelling and pain of cervical lymph nodes and throat, and the fatigue were relieved gradually. After 45 days, the above symptoms in the patient disappeared.

A 38-year-old male patient with ankylosing spondylitis received subcutaneous injection of adalimumab 40 mg once every 2 weeks. After 21 months of medication, the patient developed fever, fatigue, swelling, and pain in the right neck lymph node and throat. Laboratory tests showed that the tuberculin test was strong positive, mycobacterium tuberculosis γ-interferon release test was 1 911.98 ng/L, and erythrocyte sedimentation rate was 27 mm/1 h. The biopsy of right neck lymph node showed granulomatous inflammation of the lymph node. The patient was diagnosed with cervical lymph node tuberculosis, which was considered to be related to adalimumab. The drug was stopped and anti-tuberculosis treatments were given. The next day, the patient′s temperature returned to normal. After 5 days, the swelling and pain of cervical lymph nodes and throat, and the fatigue were relieved gradually. After 45 days, the above symptoms in the patient disappeared.

Objective:To evaluate the preservation efficacy of 7 non-inactivating virus preservation solutions.Methods:Equal amounts of H1N1 virus were added to 7 commercially available non-inactivating virus preservation solutions, and the samples were stored at -20 ℃, 4 ℃, 25 ℃ and 37 ℃ for 1 hour, 6 hours, 1 day, 3 days, and 5 days. The viral nucleic acid in each simulated sample under different storage conditions was measured using real-time quantitative PCR. The hemagglutination (HA) titer was determined through viral isolation culture and hemagglutination assay, comparing the differences in viral growth activity across different storage solutions and conditions.Results:Except for solution E, the other solutions effectively protected viral nucleic acid at the 4 storage temperatures. In terms of viral activity, solutions A, B, C, and D effectively maintained viral viability. A and B showing the best performance, E and F showed poorer performance, and G performed the worst.Conclusions:Most non-inactivating virus preservation solutions effectively protect viral nucleic acid, but there are significant differences in their ability to maintain viral viability. To ensure optimal virus preservation, it is recommended that medical institutions evaluate the effectiveness of preservation solutions before use.

Objective To investigate the expression of GJB4 gene in pancreatic cancer tissue and its correlation with clinicopathology.Methods The expression levels of GJB4 mRNA in pancreatic cancer and adjacent cancer tissues were analyzed using bioinformatics to analyze the Cancer Genome Atlas(TCGA)and Genotype-Tissue Expression(GTEx)RNA sequencing datasets.A total of 120 pancreatic cancer samples and 40 adjacent cancer samples from the Pathology Department of The Second Affiliated Hospital of Kunming Medical University from January 2019 to December 2023 were collected and sorted.Immunohistochemistry staining method was used to detect the expression difference of GJB4 protein between the two groups.RT-qPCR method was used to detect the expression levels of GJB4 in four pancreatic cancer cell lines.Univariate and multivariate Cox regression and Kaplan-Meier curves were used to analyze the clinical pathological data of GJB4 and pancreatic cancer patients.DAVID functional annotation bioinformatics and GSEA enrichment analysis were used to explore the relevant pathways of GJB4 in pancreatic cancer.Results The expression level of GJB4 mRNA in pancreatic cancer was higher than that in adjacent tissues,and the high expression of GJB4 was significantly associated with poor prognosis of patients(P<0.05).Immunohistochemical analysis showed that GJB4 protein was brown-yellow granular in pancreatic cancer tissues,mainly expressed in cytoplasm and cell membrane,and GJB4 protein expression was up-regulated in pancreatic cancer(P<0.05).The RT-qPCR test results showed that out of 4 pancreatic cancer cell lines,3 of them had upregulated expression(P<0.05).COX regression analysis showed that GJB4 gene was an independent risk factor in the prognosis of pancreatic cancer patients.The results of GO enrichment analysis showed that GJB4 was related to the transmembrane transport,ion channel,signal release and membrane potential regulation of pancreatic cancer.GSEA analysis showed that GJB4 was enriched in the Wnt/β-catenin signaling pathway.Conclusion In pancreatic cancer,the high expression level of GJB4 is closely related to the clinicopathological features of the patients,which may predict the poor prognosis of the patients.GJB4 may be involved in regulating the Wnt/β-catenin signaling pathway of pancreatic cancer,and is expected to be one of the potential biomarkers of pancreatic cancer prognosis.

Objective:To evaluate the preservation efficacy of 7 non-inactivating virus preservation solutions.Methods:Equal amounts of H1N1 virus were added to 7 commercially available non-inactivating virus preservation solutions, and the samples were stored at -20 ℃, 4 ℃, 25 ℃ and 37 ℃ for 1 hour, 6 hours, 1 day, 3 days, and 5 days. The viral nucleic acid in each simulated sample under different storage conditions was measured using real-time quantitative PCR. The hemagglutination (HA) titer was determined through viral isolation culture and hemagglutination assay, comparing the differences in viral growth activity across different storage solutions and conditions.Results:Except for solution E, the other solutions effectively protected viral nucleic acid at the 4 storage temperatures. In terms of viral activity, solutions A, B, C, and D effectively maintained viral viability. A and B showing the best performance, E and F showed poorer performance, and G performed the worst.Conclusions:Most non-inactivating virus preservation solutions effectively protect viral nucleic acid, but there are significant differences in their ability to maintain viral viability. To ensure optimal virus preservation, it is recommended that medical institutions evaluate the effectiveness of preservation solutions before use.

AIM: To construct column-line plots to predict survival in elderly patients with early-stage HER2-positive breast cancer using the Surveillance, Epidemiology and End Results (SEER) database. METHODS: 5 220 (based on the era of single-targeted therapy) and 1 176 (based on the era of dual-targeted therapy) patients screened in the SEER database were randomized into a training group and an internal validation group. COX proportional risk regression was used to screen survival-related predictors and build a column-line graphical model, and the accuracy and utility of the model were tested using the consistency index (C-index), calibration curves, and time-dependent ROC curves. Patients receiving chemotherapy and non-chemotherapy were statistically paired using two-group propensity score matching, and subgroup analyses were performed on the screened variables. RESULTS: The single-targeted therapy era line graph was constructed from seven variables: age, marital status, T-stage, N-stage, surgery, chemotherapy, and radiotherapy. The dual-targeted therapy era line graph was constructed from five variables: age, AJCC staging, surgery, chemotherapy, and radiotherapy. The results of the subgroup analysis showed that older HER2-positive breast cancer patients who received chemotherapy had better OS. CONCLUSION: Based on the SEER database, an accurate column-line graph predicting survival in elderly patients with early-stage HER2-positive breast cancer was established and validated. This study suggests that chemotherapy increases survival benefit in elderly patients.

Objective To analyze the influencing factors of treatment compliance in patients undergoing intracranial aneurysm (IA) surgery based on based on latent growth mixture model (LGMM). Methods A total of 150 patients who underwent IA surgery were selected as the study objects. The general data of patients were collected and the compliance scale was used to evaluate the compliance of patients. LGMM was used to predict the change track of treatment compliance of patients with IA after surgery, and the influencing factors of treatment compliance of patients with IA were analyzed by multivariate Logistic regression analysis. Results A total of 138 valid questionnaires were collected in this study, and the effective questionnaire recovery rate was 92.00%. The treatment compliance score of patients with IA was (5.18±1.59) points. After LGMM fitting, 3 potential profiles were selected. There were 37 patients with good compliance (26.81%), 42 patients with moderate compliance (30.43%), and 59 patients with poor compliance (42.75%). The potential profile category attribution probability matrix was 97.29% for patients with good compliance, 95.24% for patients with moderate compliance, and 98.31% for patients with poor compliance. The proportion of poor compliance patients with age of 30 to 50 years old, junior high school education level or below, combined with two or more diseases, out-of-pocket (medical expenses) and Hunt-Hess grade Ⅲ was significantly higher than those with good compliance and moderate compliance (P < 0.05). Age of 30 to 50 years old, Hunt-Hess grade Ⅲ, combined with two or more diseases, education level as junior high school or below and self-expense (medical expenses) were the influential factors of treatment compliance (P < 0.05). Conclusion Treatment compliance of patients undergoing IA surgery is low and heterogeneous. Age of 30 to 50 years old, junior high school education level or below, combination of more than two diseases, medical insurance payment method of self-payment and Hunt-Hess grade Ⅲ are all influencing factors for compliance of IA surgery patients.

Objective To investigate the construction and application of a risk prediction model for deep vein thrombosis (DVT) in patients with aneurysmal subarachnoid hemorrhage (aSAH). Methods A total of 250 patients with aSAH were enrolled in this study and divided into DVT (n=45) and non-DVT groups (n=205) based on the occurrence of DVT. General information and routinelaboratory indicators were collected and compared between the two groups. Multivariate Logistic regression analysis was performed to identify risk factors for DVT in aSAH patients. A nomogram prediction model for DVT after aSAH was established and its discriminative ability was evaluated using the receiver operating characteristic (ROC) curve. The clinical utility of the nomogram was assessed by decision curve analysis. Results Statistically significant differences were observed in age, history of hypertension, Glasgow Coma Scale (GCS) score, Hunt-Hess grade and length of hospital stay between the DVT and non-DVT groups (P < 0.05). The plasma fibrinogen level was significantly higher in the DVT group compared to the non-DVT group (P < 0.05), while no significant differences were found for other indicators (P>0.05). Multivariate Logistic regression analysis revealed that age, Hunt-Hess grade, length of hospital stay, and plasma fibrinogen level were influencing factors of the occurrence of DVT in aSAH patients(P < 0.05). ROC analysis showed that the nomogram exhibited good predictive performance in both the modeling and validation groups, with areas under the curve (AUCs) of 0.875 (95%CI, 0.802 to 0.948) and 0.872 (95%CI, 0.757 to 0.987), respectively. Decision curve analysis indicated that the nomogram provided a high net benefit for predicting DVT in aSAH patients across a wide range of threshold probabilities. Conclusion Age, Hunt-Hess grade, length of hospital stay, and plasma fibrinogen level are influential factors for DVT in aSAH patients. The nomogram in predicting DVT after aSAH demonstrates good discriminative ability, calibration degree, and clinical application value. This model can better identify high-risk patients and provide individualized prevention and treatment strategies.

Amino-containing compounds,including amino acids,aliphatic amines,aromatic amines,small peptides and catecholamines,are involved in various biological processes and play vital roles in multiple meta-bolic pathways.Previous studies indicated that some amino-containing metabolites are significant diagnostic and prognostic biomarkers of gastric cancer.However,the discovery of precise biomarkers for the preoperative diagnosis of gastric cancer is still in an urgent need.Herein,we established a polarity-regulated derivatization method coupled with liquid chromatography-mass spectrometry(LC-MS)for amino-containing metabolites profiling in the serum samples of patients with gastric cancer and healthy controls,based on our newly designed and synthesized derivatization reagent(S)-3-(1-(diisopropox-yphosphoryl)pyrrolidine-2-carboxamido)-N-hydroxysuccinimidyl ester(3-DP-NHS).Enhanced separa-tion efficiency and detection sensitivity for amino-containing metabolites were achieved after derivatization.This method exhibited good linearity,recovery,intra-and inter-day precision and accu-racy.Only 5 μL serum is needed for untargeted analysis,enabling 202 amino-containing metabolites to be detected.Statistical analysis revealed altered amino acid metabolisms in patients with gastric cancer.Furthermore,ultra high performance liquid chromatography coupled with mass spectrometry(UHPLC-MS/MS)analysis quantification revealed increased serum levels of tryptamine and decreased concen-trations of arginine and tryptophan in patients with gastric cancer.Receiver operating characteristic(ROC)curves indicated that an increased tryptamine/tryptophan ratio could serve as a potential biomarker for gastric cancer diagnosis.This study demostrated the possibility of using serum amino acid biomarkers for gastric cancer diagnosis,providing new avenues for the treatment of gastric cancer.