Unmasking Bacterial Identities: Exploiting Silver Nanoparticle 'Masks' for Enhanced Raman Scattering in the Rapid Discrimination of Diverse Bacterial Species and Antibiotic-Resistant Strains.

Unraveling bacterial identity through Raman scattering techniques has been persistently challenging due to homogeneously amplified Raman signals across a wide variety of bacterial molecules, predominantly protein- or nucleic acid-mediated. In this study, we present an approach involving the use of silver nanoparticles to completely and uniformly "mask" adsorption on the surface of bacterial molecules through sodium borohydride and sodium chloride. This approach enables the acquisition of enhanced surface-enhanced Raman scattering (SERS) signals from all components on the bacterial surface, facilitating rapid, specific, and label-free bacterial identification. For the first time, we have characterized the identity of a bacterium, including its DNA, metabolites, and cell walls, enabling the accurate differentiation of various bacterial strains, even within the same species. In addition, we embarked on an exploration of the origin and variability patterns of the main characteristic peaks of Gram-positive and Gram-negative bacteria. Significantly, the SERS peak ratio was found to determine the inflection point of accelerated bacterial death upon treatment with antimicrobials. We further applied this platform to identify 15 unique clinical antibiotic-resistant bacterial strains, including five Escherichia coli strains in human urine, a first for Raman technology. This work has profound implications for prompt and accurate identification of bacteria, particularly antibiotic-resistant strains, thereby significantly enhancing clinical diagnostics and antimicrobial treatment strategies.

Solution Combustion Synthesis of Submicron-Sized Titanium Niobium Oxide Anodes for High-Rate and Ultrastable Lithium-Ion Batteries.

Recently, the development of high-rate performance lithium-ion batteries is crucial for the development of next-generation energy storage systems. Nanoarchitecturing of the electrode material is a common strategy to improve the effective Li+ diffusion transport rate. However, this method often results in a reduction of volumetric energy density and battery stability. In this work, we propose a different strategy by synthesizing submicron-sized Ti2Nb10O29 (s-TNO) as a durable high-rate anode material using a facile and scalable solution combustion method, eliminating the dependence nanoarchitectures. The s-TNO electrode material exhibits a large tunnel structure and an excellent pseudocapacitive performance. The results show that this electrode material delivers a commendable reversible capacity of 238.7 mAh g-1 at 0.5 C and retains 78.2% of its capacity after 10,000 cycles at 10 C. This work provides a valuable guide for the synthesis of submicron-structured electrode materials using the solution combustion method, particularly for high-capacity, high-rate, and high-stability electrode materials.

Multi-resource allocation and care sequence assignment in patient management: a stochastic programming approach.

To mitigate outpatient care delivery inefficiencies induced by resource shortages and demand heterogeneity, this paper focuses on the problem of allocating and sequencing multiple medical resources so that patients scheduled for clinical care can experience efficient and coordinated care with minimum total waiting time. We leverage highly granular location data on people and medical resources collected via Real-Time Location System technologies to identify dominant patient care pathways. A novel two-stage Stochastic Mixed Integer Linear Programming model is proposed to determine the optimal patient sequence based on the available resources according to the care pathways that minimize patients' expected total waiting time. The model incorporates the uncertainty in care activity duration via sample average approximation.We employ a Monte Carlo Optimization procedure to determine the appropriate sample size to obtain solutions that provide a good trade-off between approximation accuracy and computational time. Compared to the conventional deterministic model, our proposed model would significantly reduce waiting time for patients in the clinic by 60%, on average, with acceptable computational resource requirements and time complexity. In summary, this paper proposes a computationally efficient formulation for the multi-resource allocation and care sequence assignment optimization problem under uncertainty. It uses continuous assignment decision variables without timestamp and position indices, enabling the data-driven solution of problems with real-time allocation adjustment in a dynamic outpatient environment with complex clinical coordination constraints.

Effect of Special Training Method Based on Breathing Meditation Training on Negative Emotions, Job Burnout and Attention in Operating Room Nurses.

Objective: Nurses working in the operating room face high levels of work stress, leading to an increased prevalence of negative emotions and job burnout. These issues not only affect the well-being of nurses, but may also affect the quality of patient care. Therefore, this study aimed to investigate the effect of a special training method based on breathing meditation on negative emotions, job burnout, attention, and caring ability of operating room nurses. Methods: Taking special training time based on breathing meditation training for nurses in the operating room (June 2022) as the dividing point, operating room nurses with routine training from March 2022 to May 2022 were taken as a pre-training group, and operating room nurses who underwent special training of breathing meditation training from June 2022 to August 2022 were enrolled as a post-training group, special training consisted of breathing meditation training for 8 weeks, once a day, 5 days a week. The same group of nurses (n=35) were enrolled before and after training, and 53 patients in each group were included in the two intervention periods for cooperative study. The scores of nurses' negative emotions [Symptom Checklist (SCL-90), Self-Reporting Questionnaire 20 (SRQ-20)], job burnout scores (emotional consumption, depersonalization and personal accomplishment), attention scores (visual attention, auditory attention and audio-visual combination attention) and caring ability (cognition, courage and patience) before and after training and satisfaction of nursing work were compared between the two groups of patients. Results: The data analysis was performed using SPSS 22.0, with chi-squared tests for categorical data, and t-tests (LSD or paired) for continuous data. The scores of SCL-90 and SRQ-20 of nurses in the post-training group were significantly lower than those in the pre-training group (P < .05). The scores of emotional consumption, depersonalization and, personal accomplishment and total score of job burnout of nurses were significantly lower in a post-training group than those in a pre-training group (P < .05). The visual attention, auditory attention, audio-visual combination attention and total attention score of nurses in the post-training group were significantly higher compared with those in a pre-training group (P < .05). The scores of cognition, courage and patience and total score of the caring ability of nurses in the post-training group were significantly higher than those in the pre-training group (P < .05). The satisfaction of nursing work in post-training group (98.11%) was significantly higher than that in the pre-training group (84.91%) (P < .05). The results indicate that the post-training group of nurses experienced significantly lower levels of emotional distress, reduced job burnout, and improved attention and caring abilities compared to the pre-training group. Additionally, their satisfaction with nursing work significantly increased. These findings suggest that the training program had a positive impact on nurses' mental well-being, job performance, and job satisfaction, which is highly relevant for enhancing the quality of patient care in clinical practice. Conclusion: Our findings are consistent with existing literature on the benefits of meditation and mindfulness training in healthcare Settings. These results have practical implications for both operating room nurses and patient care, indicating that breathing meditation training can be used as an effective tool to improve nurses' mental health and work productivity. Although the study sample was limited, these preliminary results provide valuable directions for future research.

Research on the toxicological prognostic significance of age-related genes in endometrial cancer unveiling key factors in patient prognosis.

This study investigates the influence of aging-related genes on endometrial cancer, a prominent gynecological malignancy with rising incidence and mortality. By analyzing gene expression differences between cancerous and normal endometrial tissues, 42 aging-related genes were identified as differentially expressed. Utilizing the TCGA-UCEC sample, consensus clustering divided the samples into two molecular subgroups, Aging low and Aging high, based on their expression profiles. These subgroups showed distinct prognoses and survival rates, with the Aging high group associated with DNA repair and cell cycle pathways, and the Aging low group showing suppressed metabolic pathways and increased immune cell infiltration, suggesting a potential for better immunotherapy outcomes. Mutation analysis did not find significant differences in mutation frequencies between the groups, but a high Tumor Mutation Burden (TMB) correlated with better prognosis. A risk score model was also developed, showcasing significant prognostic power. Further analysis of the SIX1 gene revealed its overexpression in cancer cells. Drug sensitivity tests indicated that the low-risk group might respond better to chemotherapy. This research underscores the significance of aging-related genes in endometrial cancer, offering insights into their prognostic value and therapeutic potential, which could lead to personalized treatment approaches and enhanced patient management.

The efficacy of ixekizumab treatment in Chinese psoriasis patients: a short-term retrospective study.

Ixekizumab is a monoclonal antibody targeting interleukin-17A that has shown significant improvement in alleviating psoriasis. However, data is sparse on the efficacy of ixekizumab in psoriasis patients in China. To investigate the efficacy of ixekizumab in Chinese psoriasis patients. Patients with moderate-to-severe psoriasis were retrospectively investigated from April 2020 to October 2020. A total of 16 patients were treated with 80 mg ixekizumab every two weeks after a 160-mg loading dose. Efficacy was assessed using the Psoriasis Activity and Severity Index (PASI), static Physician's Global Assessment (sPGA) and Dermatology Life Quality Index (DLQI) at Weeks 0, 1, 2, 3, 4, 8, and 12. All patients showed excellent response to the treatment. Compared to baseline level, the improvement was significant and statistically significant at Week 1, 2, 4, 8 and 12 (p<0.05). Of the patients, 18.75% reported sPGA 0/1 (clear or almost clear skin) as early as Week 2, and the percentage of patients who reported sPGA 0/1 reached 100% at Week 12. Moreover, the DLQI decreased gradually coinciding with improvement in PASI and sPGA. The head/neck regions showed the fastest improvements, followed by the trunk and the arms/legs. During the 12-week period, no serious adverse effects occurred. Our results indicate that the treatment of ixekizumab was safe and effective in psoriasis patients in China.

Isoflurane Preconditioning Alleviates Hypoxia/Reoxygenation-Induced Cardiomyocyte Injury by Inhibiting miR-195-3p Expression.

To investigate the role of microRNA-195-3p (miR-195-3p) in hypoxia/reoxygenation (H/R)-induced cardiomyocyte injury. AC16 human cardiomyocyte cells were cultured and pretreated with different concentrations of isoflurane (ISO) (1%, 2%, and 3%), followed by 6 h each of hypoxia and reoxygenation to construct H/R cell models. The optimum ISO concentration was assessed based on the cell viability. miR-195-3p expression was regulated by in vitro cell transfection. Cell viability was determined by MTT assay, and apoptosis was evaluated by flow cytometry. The levels of myocardial injury and inflammation were determined by enzyme-linked immunosorbent assay. Compared with the control group, the cell viability of the H/R group had significantly decreased and that of ISO pretreatment had increased in a dose-dependent manner. Therefore, we selected a 2% ISO concentration for pretreatment. MiR-195-3p expression had significantly increased in the H/R group and decreased after 2% ISO pretreatment. Additionally, the number of apoptotic cells and the levels of lactate dehydrogenase, creatine kinase-myoglobin binding, cardiac troponin I, interleukin (IL)-1ß, IL-6, and tumor necrosis factor-α had increased significantly. ISO preconditioning inhibited H/R-induced AC16 cell damage, whereas miR-195-3p overexpression reversed the protective effects of ISO on cardiomyocytes. The expression of phosphatase and tensin homolog deleted on chromosome 10 (PTEN) was reduced in the H/R-induced AC16 cells, and PTEN is a downstream target gene of miR-195-3p. Preconditioning with 2% ISO plays a protective role in H/R-induced AC16 cell damage by inhibiting miR-195-3p expression.

LIPUS-induced neurogenesis:A potential therapeutic strategy for cognitive dysfunction in traumatic brain injury.

Traumatic brain injury (TBI) precipitates cellular membrane degeneration, phospholipid degradation, neuronal demise, impaired brain electrical activity, and compromised neuroplasticity, ultimately leading to acute and chronic brain dysfunction. Low-intensity pulsed ultrasound (LIPUS) is an emerging brain therapy with the characteristics of non-invasive, high spatial resolution, and high stimulation depth. Herein, we established a controlled cortical impact model to investigate the potential reparative mechanisms of LIPUS in TBI, employing a multi-faceted research methodology encompassing behavioral assessments, immunofluorescence, neuroelectrophysiology, scratch detection of primary cortical neurons, metabolomics and transcriptomics. Our findings demonstrate that LIPUS promotes hippocampal neurogenesis following brain injury, accomplished through the elevation of phosphatidylcholine levels in the hippocampus of TBI mice. Consequently, LIPUS enhances neural electrical activity and augments neural plasticity within the CA1 subregion of the hippocampus, effectively restoring neuronal function and cognitive capabilities in TBI mice. These findings shed light on the promising role of LIPUS in TBI brain rehabilitation, offering new perspectives and theoretical foundations for future studies in this domain.

Virtual Reality Utilized for Safety Skills Training for Autistic Individuals: A Review.

In recent years, virtual reality technology, which is able to simulate real-life environments, has been widely used in the field of intervention for individuals with autism and has demonstrated distinct advantages. This review aimed to evaluate the impact of virtual reality technology on safety skills intervention for individuals with autism. After searching and screening three databases, a total of 20 pertinent articles were included. There were six articles dedicated to the VR training of street-crossing skills for individuals with autism, nine articles focusing on the training of driving skills for individuals with ASD, and three studies examining the training of bus riding for individuals with ASD. Furthermore, there were two studies on the training of air travel skills for individuals with ASD. First, we found that training in some complex skills (e.g., driving skills) should be selected for older, high-functioning individuals with ASD, to determine their capacity to participate in the training using scales or questionnaires before the intervention; VR devices with higher levels of immersion are not suitable for younger individuals with ASD. Second, VR is effective in training safety skills for ASD, but there is not enough evidence to determine the relationship between the level of VR immersion and intervention effects. Although the degree of virtual reality involvement has an impact on the ability of ASD to be generalized to the real world, it is important to ensure that future virtual reality settings are realistic and lifelike. Again, adaptive models that provide personalized training to individuals with ASD in VR environments are very promising, and future research should continue in this direction. This paper also discusses the limitations of these studies, as well as potential future research directions.

Ultrasound assessment of diaphragmatic dysfunction in non-critically ill patients: relevant indicators and update.

Diaphragm dysfunction (DD) can be classified as mild, resulting in diaphragmatic weakness, or severe, resulting in diaphragmatic paralysis. Various factors such as prolonged mechanical ventilation, surgical trauma, and inflammation can cause diaphragmatic injury, leading to negative outcomes for patients, including extended bed rest and increased risk of pulmonary complications. Therefore, it is crucial to protect and monitor diaphragmatic function. Impaired diaphragmatic function directly impacts ventilation, as the diaphragm is the primary muscle involved in inhalation. Even unilateral DD can cause ventilation abnormalities, which in turn lead to impaired gas exchange, this makes weaning from mechanical ventilation challenging and contributes to a higher incidence of ventilator-induced diaphragm dysfunction and prolonged ICU stays. However, there is insufficient research on DD in non-ICU patients, and DD can occur in all phases of the perioperative period. Furthermore, the current literature lacks standardized ultrasound indicators and diagnostic criteria for assessing diaphragmatic dysfunction. As a result, the full potential of diaphragmatic ultrasound parameters in quickly and accurately assessing diaphragmatic function and guiding diagnostic and therapeutic decisions has not been realized.

Targeting inflammasomes and pyroptosis in retinal diseases-molecular mechanisms and future perspectives.

Retinal diseases encompass various conditions associated with sight-threatening immune responses and are leading causes of blindness worldwide. These diseases include age-related macular degeneration, diabetic retinopathy, glaucoma and uveitis. Emerging evidence underscores the vital role of the innate immune response in retinal diseases, beyond the previously emphasized T-cell-driven processes of the adaptive immune system. In particular, pyroptosis, a newly discovered programmed cell death process involving inflammasome formation, has been implicated in the loss of membrane integrity and the release of inflammatory cytokines. Several disease-relevant animal models have provided evidence that the formation of inflammasomes and the induction of pyroptosis in innate immune cells contribute to inflammation in various retinal diseases. In this review article, we summarize current knowledge about the innate immune system and pyroptosis in retinal diseases. We also provide insights into translational targeting approaches, including novel drugs countering pyroptosis, to improve the diagnosis and treatment of retinal diseases.

Cananga oil inhibits Salmonella infection by mediating the homeostasis of purine metabolism and the TCA cycle.

ETHNOPHARMACOLOGY RELEVANCE: Cananga oil (CO) is derived from the flowers of the traditional medicinal plant, the ylang-ylang tree. As a traditional antidepressant, CO is commonly utilized in the treatment of various mental disorders including depression, anxiety, and autism. It is also recognized as an efficient antibacterial insecticide, and has been traditionally utilized to combat malaria and acute inflammatory responses resulting from bacterial infections both in vitro and in vivo. AIM OF THE STUDY: The objective of this study is to comprehensively investigate the anti-Salmonella activity and mechanism of CO both in vitro and in vivo, with the expectation of providing feasible strategies for exploring new antimicrobial strategies and developing novel drugs. METHODS: The in vitro antibacterial activity of CO was comprehensively analyzed by measuring MIC, MBC, growth curve, time-killing curve, surface motility, biofilm, and Live/dead bacterial staining. The analysis of the chemistry and active ingredients of CO was conducted using GC-MS. To examine the influence of CO on the membrane homeostasis of Salmonella, we conducted utilizing diverse techniques, including ANS, PI, NPN, ONPG, BCECF-AM, DiSC3(5), and scanning electron microscopy (SEM) analysis. In addition, the antibacterial mechanism of CO was analyzed and validated through metabolomics analysis. Finally, a mouse infection model of Salmonella typhimurium was established to evaluate the toxic side effects and therapeutic effects of CO. RESULTS: The antibacterial effect of CO is the result of the combined action of the main chemical components within its six (palmitic acid, α-linolenic acid, stearic acid, benzyl benzoate, benzyl acetate, and myristic acid). Furthermore, CO disrupts the balance of purine metabolism and the tricarboxylic acid cycle (TCA cycle) in Salmonella, interfering with redox processes. This leads to energy metabolic disorders and oxidative stress damage within the bacteria, resulting in bacterial shock, enhanced membrane damage, and ultimately bacterial death. It is worth emphasizing that CO exerts an effective protective influence on Salmonella infection in vivo within a non-toxic concentration range. CONCLUSION: The outcomes indicate that CO displays remarkable anti-Salmonella activity both in vitro and in vivo. It triggers bacterial death by disrupting the balance of purine metabolism and the TCA cycle, interfering with the redox process, making it a promising anti-Salmonella medication.