Objective To design and evaluate the clinical application efficacy of a novel bilateral-separation endotracheal tube fixation device and provide references for clinical practice.Methods Using convenient sampling,60 patients from the Neurological Intensive Care Unit of a tertiary-level hospital in Zhengzhou were selected from May to December 2024.Patients were randomly divided into an experimental group(n=30)and a control group(n=30).The experimental group utilized the novel bilateral-separation endotracheal tube fixation device,while the control group employed traditional bandage fixation methods.Differences in fixation time,tube displacement,and intubation duration were compared between the 2 groups.Results The experimental group demonstrated significantly shorter tube fixation times compared to the control group(P＜0.05).However,no statistically significant differences were observed between the groups regarding intubation duration and tube displacement(P＞0.05).Conclusion The novel bilateral-separation endotracheal tube fixation device can reduce tube fixation time for patients in neurological intensive care and enhance nurse satisfaction.Despite not showing advantages in preventing tube displacement,the device still presents promising potential for broad clinical application.

Abstract Skin, the largest organ of the human body, serves as the primary barrier against environmental hazards. Skin aging is a complex process influenced by both intrinsic factors, such as endogenous physiological changes, and extrinsic factors, including environmental exposures, reflecting the internal health status of the body. During skin aging, various cell types exhibit diverse responses to aging-related stimulations. This paper systematically reviews the roles of cells in the pathogenesis of skin aging and explores potential therapeutic strategies for mitigating this process. Furthermore, based on the biological activities of cells during skin aging, we elucidate the interaction mechanisms among cells within the skin microenvironment.

Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.

The global prevalence of diabetes among adults is increasing year by year,with diabetes mellitus type 2(T2DM)being the most common form.T2DM is a chronic disease characterized by insulin resistance and insufficient insulin secretion,often accompanied by disturbances in glucose,protein,and lipid metabolism.Impaired wound healing is one of the major complications of T2DM.Studies have shown that wound healing in T2DM patients are regulated by macrophages and are closely related to their phenotype,activity,and abundance.Macrophages of different phenotypes play distinct roles in various stages of T2DM wound healing:M1 macrophages are involved in the early inflammatory response and pathogen clearance,while M2 macrophages contribute to anti-inflammatory responses and wound repair during later stages.Dysregulation of macrophage phenotype switching affects wound inflammatory response,skin cell function,and extracellular matrix(ECM)synthesis,ultimately leading to impaired healing.Significant progress has been made in understanding the interactions between macrophage metabolic changes and phenotype switching,and this dynamic relationship might play a synergistic role in regulating the wound healing process in T2DM.This review summarizes the functional roles of macrophages in both normal and T2DM-associated wound healing,discusses alterations in glucose,lipid,and amino acid metabolism in macrophages under pathological conditions,and explores how these metabolic shifts regulate wound healing.Furthermore,it examines the therapeutic potential of targeting macrophage metabolism to improve wound healing outcomes.

Objective To design and evaluate the clinical application efficacy of a novel bilateral-separation endotracheal tube fixation device and provide references for clinical practice.Methods Using convenient sampling,60 patients from the Neurological Intensive Care Unit of a tertiary-level hospital in Zhengzhou were selected from May to December 2024.Patients were randomly divided into an experimental group(n=30)and a control group(n=30).The experimental group utilized the novel bilateral-separation endotracheal tube fixation device,while the control group employed traditional bandage fixation methods.Differences in fixation time,tube displacement,and intubation duration were compared between the 2 groups.Results The experimental group demonstrated significantly shorter tube fixation times compared to the control group(P＜0.05).However,no statistically significant differences were observed between the groups regarding intubation duration and tube displacement(P＞0.05).Conclusion The novel bilateral-separation endotracheal tube fixation device can reduce tube fixation time for patients in neurological intensive care and enhance nurse satisfaction.Despite not showing advantages in preventing tube displacement,the device still presents promising potential for broad clinical application.

The global prevalence of diabetes among adults is increasing year by year,with diabetes mellitus type 2(T2DM)being the most common form.T2DM is a chronic disease characterized by insulin resistance and insufficient insulin secretion,often accompanied by disturbances in glucose,protein,and lipid metabolism.Impaired wound healing is one of the major complications of T2DM.Studies have shown that wound healing in T2DM patients are regulated by macrophages and are closely related to their phenotype,activity,and abundance.Macrophages of different phenotypes play distinct roles in various stages of T2DM wound healing:M1 macrophages are involved in the early inflammatory response and pathogen clearance,while M2 macrophages contribute to anti-inflammatory responses and wound repair during later stages.Dysregulation of macrophage phenotype switching affects wound inflammatory response,skin cell function,and extracellular matrix(ECM)synthesis,ultimately leading to impaired healing.Significant progress has been made in understanding the interactions between macrophage metabolic changes and phenotype switching,and this dynamic relationship might play a synergistic role in regulating the wound healing process in T2DM.This review summarizes the functional roles of macrophages in both normal and T2DM-associated wound healing,discusses alterations in glucose,lipid,and amino acid metabolism in macrophages under pathological conditions,and explores how these metabolic shifts regulate wound healing.Furthermore,it examines the therapeutic potential of targeting macrophage metabolism to improve wound healing outcomes.

Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.

Objective:To investigate the hemodynamic changes in the ascending aorta (AAo) before and after interventricular septal myocardial resection in obstructive hypertrophic cardiomyopathy (HOCM) using cardiac magnetic resonance four-dimensional blood flow (CMR 4D Flow) technology.Methods:HOCM patients who underwent interventricular septal myocardial resection at Guangdong Provincial People′s Hospital from May 2021 to September 2022 were prospectively included. Age and gender matched healthy volunteers (control group) were included during the same period. Both the control group and HOCM patients underwent CMR examination (including cine sequence and 4D Flow sequence) before and 6 months after surgery. CMR 4D flow technology was used to evaluate changes in AAo preoperative and postoperative blood flow patterns (eddy currents, spiral flow), maximum energy loss (EL max), and average energy loss (EL avg). HOCM patients underwent laboratory tests, including N-terminal pro-brain natriuretic peptide (N-pro BNP) and high-sensitivity troponin T (hsTnT). At the same time, the correlation between postoperative energy loss in HOCM patients and the degree of improvement in laboratory biomarkers was explored. Results:A total of 15 HOCM patients and 15 healthy volunteers were included. (1) In terms of blood flow patterns, the preoperative spiral flow degree of HOCM patients was significantly higher than that of the control group ( P=0.001), but the postoperative difference was not statistically significant ( P=0.059). The degree of eddy currents in HOCM patients before and after surgery was higher than that in the control group (all P<0.05). (2) In terms of energy loss, the preoperative EL max [21.17(14.30-28.10)mW vs 10.17(7.66-13.07)mW, P<0.001] and EL avg [4.87(3.46-5.77)mW vs 2.27(2.19-2.27)mW, P=0.023] of HOCM patients were higher than those of the control group, but there was no statistically significant difference between the postoperative and control groups (all P>0.05). Compared with preoperative, the postoperative EL max [12.33(8.70-17.41)mW] and EL avg [3.10(2.25-4.40)mW] of AAo in HOCM patients were significantly reduced (mean P=0.001). (3) Correlation analysis showed that there was a positive correlation ( r=0.587, P=0.021) between the EL max of AAo and the degree of improvement in hsTNT after interventricular septum myocardial resection, but no significant correlation ( r=0.229, P=0.413) with the degree of improvement in NT-pro BNP. Conclusions:The degree of postoperative AAo blood flow disorder in HOCM patients is reduced, and EL max and EL avg are significantly reduced. The EL max of postoperative AAo is positively correlated with the degree of improvement in hsTNT, suggesting that EL max may be applicable for prognostic evaluation of patients.

Lipotoxicity is a pivotal factor that initiates and exacerbates liver injury and is involved in the development of metabolic-associated fatty liver disease (MAFLD). However, there are few reported lipotoxicity inhibitors. Here, we identified a natural anti-lipotoxicity candidate, HN-001, from the marine fungus Aspergillus sp. C1. HN-001 dose- and time- dependently reversed palmitic acid (PA)-induced hepatocyte death. This protection was associated with IRE-1α-mediated XBP-1 splicing inhibition, which resulted in suppression of XBP-1s nuclear translocation and transcriptional regulation. Knockdown of XBP-1s attenuated lipotoxicity, but no additional ameliorative effect of HN-001 on lipotoxicity was observed in XBP-1s knockdown hepatocytes. Notably, the ER stress and lipotoxicity amelioration was associated with PLA2. Both HN-001 and the PLA2 inhibitor MAFP inhibited PLA2 activity, reduced lysophosphatidylcholine (LPC) level, subsequently ameliorated lipotoxicity. In contrast, overexpression of PLA2 caused exacerbation of lipotoxicity and weakened the anti-lipotoxic effects of HN-001. Additionally, HN-001 treatment suppressed the downstream pro-apoptotic JNK pathway. In vivo, chronic administration of HN-001 (i.p.) in mice alleviated all manifestations of MAFLD, including hepatic steatosis, liver injury, inflammation, and fibrogenesis. These effects were correlated with PLA2/IRE-1α/XBP-1s axis and JNK signaling suppression. These data indicate that HN-001 has therapeutic potential for MAFLD because it suppresses lipotoxicity, and provide a natural structural basis for developing anti-MAFLD candidates.

Objective:To report the long-term outcomes of Chinese rectal cancer patients after adopting a Watch and Wait (W&W) strategy following neoadjuvant therapy (NAT).Methods:This multicenter, cross-sectional study was based on real-world data. The study cohort comprised rectal cancer patients who had achieved complete or near complete clinical responses (cCRs, near-cCRs) after NAT and were thereafter managed by a W&W approach, as well as a few patients who had achieved good responses after NAT and had then undergone local excision for confirmation of pathological complete response. All participants had been followed up for ≥2 years. Patients with distant metastases at baseline or who opted for observation while living with the tumor were excluded. Data of eligible patients were retrospectively collected from the Chinese Wait-and-Watch Data Collaboration Group database. These included baseline characteristics, type of NAT, pre-treatment imaging results, evaluation of post-NAT efficacy, salvage measures, and treatment outcomes. We herein report the long-term outcomes of Chinese rectal cancer patients after NAT and W&W and the differences between the cCR and near-cCR groups.Results:Clinical data of 318 rectal cancer patients who had undergone W&W for over 2 years and been followed up were collected from eight medical centers (Peking University Cancer Hospital, Fudan University Shanghai Cancer Center, Sun Yat-sen University Cancer Center, Shanghai Changhai Hospital, Peking Union Medical College Hospital, Liaoning Cancer Hospital, the First Hospital of Jilin University, and Yunnan Cancer Hospital.) The participants comprised 221 men (69.4%) and 107 women (30.6%) of median age 60 (26-86) years. The median distance between tumor and anal verge was 3.4 (0-10.4) cm. Of these patients, 291 and 27 had achieved cCR or near-cCR, respectively, after NAT. The median duration of follow-up was 48.4 (10.2-110.3) months. The 5-year cumulative overall survival rate was 92.4% (95%CI: 86.8%-95.7%), 5-year cumulative disease-specific survival (CSS) rate 96.6% (95%CI: 92.2%-98.5%), 5-year cumulative organ-preserving disease-free survival rate 86.6% (95%CI: 81.0%-90.7%), and 5-year organ preservation rate 85.3% (95%CI: 80.3%-89.1%). The overall 5-year local recurrence and distant metastasis rates were 18.5% (95%CI: 14.9%-20.8%) and 8.2% (95%CI: 5.4%-12.5%), respectively. Most local recurrences (82.1%, 46/56) occurred within 2 years, and 91.0% (51/56) occurred within 3 years, the median time to recurrence being 11.7 (2.5-66.6) months. Most (91.1%, 51/56) local recurrences occurred within the intestinal lumen. Distant metastases developed in 23 patients; 60.9% (14/23) occurred within 2 years and 73.9% (17/23) within 3 years, the median time to distant metastasis being 21.9 (2.6-90.3) months. Common sites included lung (15/23, 65.2%), liver (6/23, 26.1%), and bone (7/23, 30.4%) The metastases involved single organs in 17 patients and multiple organs in six. There were no significant differences in overall, cumulative disease-specific, or organ-preserving disease-free survival or rate of metastases between the two groups (all P>0.05). The 5-year local recurrence rate was higher in the near-cCR than in the cCR group (41.6% vs. 16.4%, P<0.01), with a lower organ preservation rate (69.2% vs. 88.0%, P<0.001). The success rates of salvage after local recurrence and distant metastasis were 82.1% (46/56) and 13.0% (3/23), respectively. Conclusion:Rectal cancer patients who achieve cCR or near-cCR after NAT and undergo W&W have favorable oncological outcomes and a high rate of organ preservation. Local recurrence and distant metastasis during W&W follow certain patterns, with a relatively high salvage rate for local recurrence. Our findings highlight the importance of close follow-up and timely intervention during the W&W process.