Objective To evaluate the effect of LifePort combined with polymyxin B in preventing donor-derived infections caused by preservation solution contamination. Methods Clinical data of 110 kidney transplant recipients were retrospectively analyzed. According to the decontamination status of preservation solution, the recipients were divided into the decontamination group (n=62) and the non-decontamination group (n=48). The general data of the two groups were compared, and the preventive effect of polymyxin B on possible donor-derived infections (p-DDI) was analyzed, especially infections associated with multidrug-resistant Gram-negative bacteria (MDR GNB). Results There were no statistically significant differences in baseline data (gender, age, preservation solution contamination status, etc.) between the decontamination group and the non-decontamination group (all P > 0.05). The overall contamination rate of preservation solution was 80.0%, and 68 contaminated samples were with single microorganism and 20 with multiple microorganisms. Coagulase-negative staphylococci, Enterococcus and Klebsiella pneumoniae were the most common microorganisms in the positive samples. Fifteen cases of preservation solution were contaminated by MDR GNB, including 10 cases in the non-decontamination group and 5 cases in the decontamination group, with no statistically significant difference between the two groups (P = 0.053). Postoperative infection-related events occurred in 69 recipients, including 39 cases in the non-decontamination group and 30 cases in the decontamination group, with the incidence rate in the non-decontamination group significantly higher than that in the decontamination group (P < 0.001). Only 10 cases of infections were identified as p-DDI, all of which were positive for preservation solution culture, including 8 cases in the non-decontamination group and 2 cases in the decontamination group (P < 0.05). There were 5 cases of p-DDI related to MDR GNB in the non-decontamination group, while no such cases occurred in the decontamination group (P < 0.05). No adverse reactions related to polymyxin B were observed, and no recipient death or renal allograft dysfunction occurred in either group. Conclusions Adding polymyxin B to the preservation fluid during hypothermic machine perfusion with LifePort before renal transplantation may reduce p-DDI and its potential adverse consequences.

Informed consent constitutes a fundamental ethical principle in medical practice. With the in-depth integration of generative artificial intelligence （AI） represented by Chat Generative Pre-trained Transformer （ChatGPT） with medicine， it has brought revolutionary development to traditional informed consent while also introducing new ethical challenges. ChatGPT offers features such as improving the readability of informed consent content， enhancing its comprehensiveness and accuracy， and increasing the convenience of obtaining informed consent. However， as the application of ChatGPT in informed consent is still in the exploratory stage， it is imperative to proactively and fully consider the accompanying ethical issues， such as information security， liability determination， transparency， and fairness. This paper conducted an ethical analysis on the challenges faced by generative AI， represented by ChatGPT， in the application of informed consent and proposed countermeasures， such as upholding free and fully informed consent， strengthening the balance of rights and obligations in informed consent， and establishing a transparent and fair supervision mechanism. The aim was to promote the ethically compliant， orderly， and controllable development of generative AI in the field of medical informed consent.

AIM: To investigate and analyze serum nitric oxide synthase 4(NOX4)and matrix metalloproteinase(MMP)-2 expressions in patients with diabetes mellitus(DM)complicated with neovascular glaucoma(NVG)and their clinical significance.METHODS: A prospective study was conducted on 161 patients with DM complicated with NVG admitted to Handan City Eye Hospital(The Third Hospital of Handan)from June 2020 to June 2023. Based on whether complications occurred 1 a after trabeculectomy in the study group patients, they were divided into a group with good prognosis(n=90)and a group with poor prognosis(n=71). During the same period, 161 patients with chronic angle-closure glaucoma without iris neovascularization were selected as the control group. ELISA method was applied to detect the expression levels of serum NOX4 and MMP-2. ROC curve was plotted to evaluate the diagnostic value and postoperative complication prediction value of NOX4 and MMP-2 in patients with DM complicated with NVG. Pearson method was applied to analyze the correlation of NOX4 and MMP-2 with vascular endothelial growth factor(VEGF)and interleukin-6(IL-6). Multivariate Logistic regression was applied to analyze the influencing factors of postoperative complications in the study group.RESULTS:The general information of the study group and control group of patients is comparable. Compared with the control group, the expression levels of serum NOX4, MMP-2, VEGF, and IL-6 in the study group were significantly increased(P<0.001). According to Pearson analysis, serum NOX4 and MMP-2 levels significantly positively correlated with VEGF and IL-6 levels, respectively(P<0.001). According to ROC curve, the AUC of NOX4 combined with MMP-2 in the diagnosis of DM complicated with NVG was better than that of individual diagnosis of NOX4(Z=3.341, P<0.05)and MMP-2(Z=2.788, P<0.05). The duration of DM, the proportion of people with intraocular pressure >21 mmHg, and the expression levels of NOX4, MMP-2, VEGF, and IL-6 in the poor prognosis group were all higher than those in the good prognosis group(P<0.001). The duration of DM, intraocular pressure >21 mmHg, the levels of NOX4, MMP-2, VEGF, and IL-6 were all risk factors for poor prognosis in DM patients with NVG(P<0.001). According to ROC curve, the combined prediction of NOX4 and MMP-2 for postoperative complications in patients with DM complicated by NVG was superior to the AUC predicted by NOX4(Z=3.727, P<0.05)and MMP-2(Z=2.219, P<0.05), respectively.CONCLUSION:NOX4 and MMP-2 are upregulated in the serum of patients with DM complicated by NVG. Combined detection of these two markers holds significant clinical value for the early diagnosis and prognosis of patients with DM complicated by NVG.

Parkinson's disease （PD） is a neurodegenerative disorder primarily characterized by motor dysfunction. Traditionally， its main clinical features include resting tremor， muscular rigidity， bradykinesia， and postural balance disorders. However， an increasing number of studies have shown that its non-motor symptoms （NMS） exert an even greater impact on patients' quality of life than motor symptoms， severely affecting daily functioning and increasing the burden on families and society. Among these， depression is one of the most common and most debilitating NMS， with statistics indicating that the incidence of depression among PD patients reaches as high as 40%-50%. The pathological mechanisms are complex， involving the interplay between degenerative changes in dopaminergic neurons and disruptions in emotional regulatory circuits， which poses a substantial challenge to clinical treatment. Traditional Chinese medicine （TCM）， characterized by holistic regulation and multi-target intervention， has demonstrated significant advantages in the treatment of PD and depression， offering new insights for managing PD-depression comorbidity. This study integrates research extracted from multiple databases， including PubMed， Web of Science， Google Scholar， and China National Knowledge Infrastructure （CNKI）， that investigates the potential mechanisms of PD and depression as well as TCM-based treatments for these conditions. The aim is to elucidate the shared pathological mechanisms underlying PD and depression and to explore the therapeutic potential of TCM in effectively combating PD-depression comorbidity through these shared mechanisms， thereby providing valuable insights for the development of targeted therapies.

OBJECTIVES: Obtaining informed consent from research participants is an ethical and legal obligation for medical researchers in clinical studies. Electronic informed consent (eIC) is increasingly being adopted in clinical research worldwide. However, there is limited data on Chinese medical researchers' knowledge and attitudes toward eIC. This study aims to investigate their knowledge, attitudes, and influencing factors regarding eIC use in clinical research. METHODS: This cross-sectional study was conducted using stratified random sampling. From June to August 2022, medical researchers from 8 tertiary hospitals were surveyed via an online platform (Wenjuanxing). A self-developed eIC knowledge questionnaire and attitude scale were used to assess participants' understanding and perceptions of eIC. Univariate analysis was employed to explore factors influencing attitude scores and the correlation between knowledge and attitudes. A generalized linear model was used to analyze associations between demographic characteristics and attitude scores, including the frequency of difficulties in using smartphones or computers, preferred device for using eIC, and their interaction effects. Stratified analysis was further performed for significant interactions. RESULTS: A total of 399 valid questionnaires were collected. The mean accuracy rate on the eIC knowledge questionnaire was (94.88±15.50)%. Of the respondents, 74.9% had heard of eIC, and 84.5% preferred using mobile devices over computers to access eIC. The median attitude score was 3.41 (3.18, 3.76), indicating generally positive attitudes. Specifically, 81.7% found eIC more convenient than paper-based consent, 79.7% considered it more efficient, and 51.1% believed it could fully replace paper forms. However, 60.7% expressed concerns about data security and privacy, and 89.7% believed that relevant laws and regulations need improvement. Spearman correlation analysis showed a weak positive correlation between knowledge and attitude scores (r=0.171, P=0.001). Univariate analysis indicated that the frequency of difficulty using devices and preferred device for eIC were significantly associated with attitude scores (P<0.05). After adjusting for confounding factors, the generalized linear model demonstrated that participants who occasionally experienced had difficulty using devices had significantly lower attitude scores compared to those who never had difficulty (β=-0.040, 95% CI -0.071 to -0.009, P=0.012). Those who preferred using PCs had significantly lower attitude scores than those who preferred mobile devices (β=-0.066, 95% CI -0.108 to -0.023, P=0.002). Interaction analysis showed a significant interaction analysis showed a significant interaction between age and preferred device (P=0.011), particularly among participants aged ≥45-year (P<0.001). No other interactions were found to be significant (all P>0.05). CONCLUSIONS Medical researchers in China generally have a high level of knowledge and positive attitudes toward eIC, though concerns remain regarding data security and privacy. Future promotion of eIC in Chinese clinical research should be grounded in ethical considerations and address the specific needs of older users and mobile device users, while also enhancing researchers' competencies in using digital tools and eIC systems.
Humans ; Cross-Sectional Studies ; Informed Consent ; Surveys and Questionnaires ; Female ; Male ; Health Knowledge, Attitudes, Practice ; Adult ; Biomedical Research ; Research Personnel/psychology* ; Middle Aged ; China

Probiotics play a crucial role in colon cancer treatment by metabolizing prebiotics to generate short-chain fatty acids (SCFAs). Colon cancer patients are frequently propositioned to supplement with probiotics to enhance the conversion and utilization of prebiotics. Nevertheless, the delivery and colonization of probiotics is hindered by the harsh conditions of gastrointestinal tract (GIT). Here, we devised a straightforward yet potent modified prebiotic-based "shield" (Gelatin-Inulin, GI), employing dietary inulin and natural polymer gelatin crosslinked via hydrogen bonding for enveloping Lactobacillus reuteri (Lr) to formulate synbiotic hydrogel capsules (Lr@Gl). The GI "shield" serves as a dynamic barrier, augmenting the resistance of Lr to gastric acid and facilitating its bioactivity and adherence in the GIT, synergizing with Lr to elicit an anti-tumor effect. Simultaneously, Lr@GI demonstrates anti-tumor effects by depleting glutathione to release reactive oxygen species, accompanied by the activation of NLRP3 (NOD-like receptor family pyrin domain containing 3), and the induction M1 macrophage polarization. Furthermore, Lr@GI can not only promote the recovery of intestinal barrier but also regulate intestinal flora, promoting the production of SCFAs and further exerting anti-tumor effect. Crucially, Lr@GI also potentiates the anti-tumor effect of 5-Fluorouracil. The construction and synergistic anti-tumor mechanism of synbiotic hydrogel capsules system provide valuable insights for gut microbial tumor therapy.

Due to its high sensitivity and non-destructive nature, Raman spectroscopy has become an essential analytical tool in biopharmaceutical analysis and drug development. Despite of the computational demands, data requirements, or ethical considerations, artificial intelligence (AI) and particularly deep learning algorithms has further advanced Raman spectroscopy by enhancing data processing, feature extraction, and model optimization, which not only improves the accuracy and efficiency of Raman spectroscopy detection, but also greatly expands its range of application. AI-guided Raman spectroscopy has numerous applications in biomedicine, including characterizing drug structures, analyzing drug forms, controlling drug quality, identifying components, and studying drug-biomolecule interactions. AI-guided Raman spectroscopy has also revolutionized biomedical research and clinical diagnostics, particularly in disease early diagnosis and treatment optimization. Therefore, AI methods are crucial to advancing Raman spectroscopy in biopharmaceutical research and clinical diagnostics, offering new perspectives and tools for disease treatment and pharmaceutical process control. In summary, integrating AI and Raman spectroscopy in biomedicine has significantly improved analytical capabilities, offering innovative approaches for research and clinical applications.

OBJECTIVE: To explore the correlation between mechanical power normalized to dynamic lung compliance (Cdyn-MP) and weaning outcomes and prognosis in mechanically ventilated patients. METHODS: A prospective, observational cohort study was conducted. Patients who underwent invasive mechanical ventilation (IMV) for more than 24 hours and used a T-tube ventilation strategy for extubation in the intensive care unit (ICU) of Lianyungang First People's Hospital and Lianyungang Second People's Hospital between January 2022 and December 2023 were enrolled. The collected data encompassed patients' baseline characteristics, primary causes of ICU admission, vital signs and laboratory indicators during the initial spontaneous breathing trial (SBT), respiratory mechanics parameters within the 4-hour period prior to the SBT, weaning outcomes and prognostic indicators. Mechanical power (MP) and Cdyn-MP were calculated using a simplified MP equation. Univariate and multivariate Logistic regression analyses were utilized to determine the independent risk factors associated with weaning failure in patients undergoing mechanical ventilation. Restricted cubic spline (RCS) analysis and Spearman rank-sum test were employed to investigate the correlation between Cdyn-MP and weaning outcomes as well as prognosis. Receiver operator characteristic curve (ROC curve) was constructed, and the area under the ROC curve (AUC) was computed to evaluate the predictive accuracy of Cdyn-MP for weaning outcomes in mechanically ventilated patients. RESULTS: A total of 366 patients undergoing IMV were enrolled in this study, with 243 cases classified as successful weaning and 123 cases classified as failed weaning. Among them, 23 patients underwent re-intubation within 48 hours after the successful withdrawal of the first SBT, non-invasive ventilation, or died. Compared with the successful weaning group, the patients in the failed weaning group had significantly increased levels of sequential organ failure assessment (SOFA) score, body temperature and respiratory rate (RR) during SBT, and respiratory mechanical parameters within the 4-hour period prior to the SBT [ventilation frequency, positive end-expiratory pressure (PEEP), platform pressure (Pplat), peak inspiratory pressure (Ppeak), dynamic driving pressure (ΔPaw), fraction of inspired oxygen (FiO₂), MP, and Cdyn-MP], dynamic lung compliance (Cdyn) was significantly reduced, and duration of IMV, ICU length of stay, and total length of hospital stay were significantly prolonged. However, there were no statistically significant differences in age, gender, body mass index (BMI), smoking history, main causes of ICU admission, other vital signs [heart rate (HR), mean arterial pressure (MAP), saturation of peripheral oxygen (SpO₂)] and laboratory indicators [white blood cell count (WBC), albumin (Alb), serum creatinine (SCr)] during SBT of patients between the two groups. Univariate Logistic regression analysis was conducted, and variables with P < 0.05 and no multicollinearity with Cdyn-MP were selected for inclusion in the multivariate Logistic regression model. The results demonstrated that SOFA score [odds ratio (OR) = 1.081, 95% confidence interval (95%CI) was 1.008-1.160, P = 0.030], and PEEP (OR = 1.191, 95%CI was 1.075-1.329, P = 0.001), FiO₂ (OR = 1.035, 95%CI was 1.006-1.068, P = 0.021) and Cdyn-MP (OR = 1.190, 95%CI was 1.086-1.309, P < 0.001) within the 4-hour period prior to the SBT were independent risk factors for weaning failure in patients undergoing IMV. The RCS analysis after adjusting for confounding factors showed that as Cdyn-MP within the 4-hour period prior to the SBT increased, the risk of weaning failure in patients undergoing IMV significantly increased (P < 0.001). The Spearman rank correlation test showed that Cdyn-MP within the 4-hour period prior to the SBT was positively correlated with respiratory mechanical parameters including ΔPaw and MP (r values were 0.773 and 0.865, both P < 0.01), and negatively correlated with Cdyn (r = -0.587, P < 0.01). Cdyn-MP within the 4-hour period prior to the SBT was positively correlated with prognostic indicators such as duration of IMV, length of ICU stay, and total length of hospital stay (r values were 0.295, 0.196, and 0.120, all P < 0.05). ROC curve analysis demonstrated that, within the 4-hour period preceding the SBT, Cdyn-MP, MP, Cdyn, and ΔPaw possessed predictive value for weaning failure in patients undergoing IMV. Notably, Cdyn-MP exhibited superior predictive capability, evidenced by an AUC of 0.761, with a 95%CI ranging from 0.712 to 0.810 (P < 0.001). At the optimal cut-off value of 408.5 J/min×cmH₂O/mL×10^-3, the sensitivity was 68.29%, and the specificity was 71.19%. CONCLUSION Cdyn-MP is related to weaning outcomes and prognosis in mechanically ventilated patients, and has good predictive ability in assessing the risk of weaning failure.
Humans ; Prospective Studies ; Ventilator Weaning ; Prognosis ; Respiration, Artificial ; Intensive Care Units ; Lung Compliance ; Female ; Male ; Middle Aged ; Aged

The ability of cells to sense and adapt to metabolic changes and environmental variations is essential for their functions. Recent advances in synthetic biology have uncovered increasing mechanisms through which cells detect changes in metabolism and environmental conditions, leading to broader applications. However, a systematic review on the regulation of cellular metabolism and environmental adaption is currently lacking. This article presents a comprehensive overview of this field from three perspectives. First, it introduces key transmembrane and sensor proteins involved in the cellular perception of metabolic and environmental changes. Next, it summarizes the adaptive regulation mechanisms that natural cells employ when confronted with intracellular and extracellular metabolic changes. Finally, the review explores the application scenarios based on cellular adaptive regulation in three aspects: dynamic control, rational metabolic engineering, and adaptive evolution and makes an outlook on the future development directions in this field. This review not only provides a comprehensive perspective on the mechanisms by which cells sense metabolic and environmental variations, but also lays a theoretical foundation for further innovations in the field of synthetic biology. With the continuous advancement of future technologies, a deeper understanding of cellular adaptive regulation mechanisms holds great potential to drive the development and application of novel biomanufacturing platforms.
Adaptation, Physiological ; Synthetic Biology ; Metabolic Engineering/methods* ; Environment ; Bacteria/genetics*