An LCMS/MS method for the simultaneous determination of ten antimicrobials and its application in critically ill patients.

Significant pharmacokinetic variation occurs in critically ill patients, leading to underexposure to antibiotics and poor prognosis. In this study, we developed a simple, sensitive, and fast liquid chromatography tandem mass spectrometry (LCMS/MS) platform for the simultaneous quantification of 8 antibacterial and 2 antifungal drugs, which is optimally suited for clinically efficient, real-time therapeutic drug monitoring (TDM). Multiple reaction monitoring (MRM) mass spectrometry was used in this method, and samples were prepared via protein precipitation with methanol.

A Liquid Band-Aid with Mesenchymal Stem Cell-Derived Exosomes for Wound Healing in Mice.

Introduction/objective: This study aimed to examine the effect of a human umbilical cord mesenchymal stem cell-derived exosome (hUC-MSC-Exo) liquid band-aid on wound healing in mice.

Methods: hUC-MSC-Exos were prepared from the supernatant via ion exchange chromatography. The composition ratio of the chitosan liquid band-aid was optimized to form a film and encapsulate hUC-MSC-Exo.

Using Bioinformatics and Machine Learning to Predict the Genetic Characteristics of Ferroptosis-Cuproptosis-Related Genes Associated with Sleep Deprivation.

Purpose: Sleep deprivation (SD), a common sleep disease in clinic, has certain risks, and its pathogenesis is still unclear. This study aimed to identify ferroptosis-cuproptosis-related genes (FCRGs) associated with SD through bioinformatics and machine learning, thus elucidating their biological significance and clinical value.

Methods: SD-DEGs were obtained from GEO.

Digital Dental Biometrics for Human Identification Based on Automated 3D Point Cloud Feature Extraction and Registration.

Background: Intraoral scans (IOS) provide precise 3D data of dental crowns and gingival structures. This paper explores an application of IOS in human identification.

Methods: We propose a dental biometrics framework for human identification using 3D dental point clouds based on machine learning-related algorithms, encompassing three stages: data preprocessing, feature extraction, and registration-based identification.

Ultrasensitive Terahertz Label-Free Metasensors Enabled by Quasi-Bound States in the Continuum.

Advanced sensing devices based on metasurfaces have emerged as a revolutionary platform for innovative label-free biosensors, holding promise for early diagnostics and the detection of low-concentration analytes. Here, we developed a chip-based ultrasensitive terahertz (THz) metasensor, leveraging a quasi-bound state in the continuum (BIC) to address the challenges associated with intricate operations in trace biochemical detection. The metasensor design features an open-ring resonator metasurface, which supports magnetic dipole -BIC combining functionalized gold nanoparticles (AuNPs) bound with a specific antibody.

The Causal Relationship Between Immune Cells and Infertility: A Mendelian Randomisation Study.

Objective: Infertility has emerged as a significant global public health concern, with a multitude of complex underlying causes. Epidemiological evidence indicates that immunological factors are significant contributors to the aetiology of infertility. However, previous studies on the relationship between immune inflammation and infertility have yielded inconclusive results.

[Acupuncture artery technique at Zusanli (ST 36) for Wagner grade 0 diabetic foot].

Objective: To observe the clinical efficacy of acupuncture artery technique at Zusanli (ST 36) for Wagner grade 0 diabetic foot.

Methods: Sixty patients with Wagner grade 0 diabetic foot were randomly divided into an observation group and a control group, with 30 patients in each group. Both groups selected bilateral Zusanli (ST 36).

Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging.

Transesophageal echocardiography (TEE) is the standard method for diagnosing left atrial appendage (LAA) hypercoagulability in patients with atrial fibrillation (AF), which means LAA thrombus/sludge, dense spontaneous echo contrast and slow LAA blood flow velocity (< 0.25 m/s). Based on machine learning algorithms, cardiac computed tomography angiography (CCTA) radiomics features were adopted to construct prediction models and explore a suitable approach for diagnosing LAA hypercoagulability and adjusting anticoagulation.

BCMA-BBZ-OX40 CAR-T Therapy Using an Instant Manufacturing Platform in Multiple Myeloma.

Background: Chimeric antigen receptor (CAR)-T cell has revolutionary efficacy against relapsed/refractory multiple myeloma (R/R MM). However, current CAR-T cell therapy has several limitations including long vein-to-vein time and limited viability.

Methods: A 4-1BB-costimulated B-cell maturation antigen (BCMA) CAR-T integrating an independently-expressed OX40 (BCMA-BBZ-OX40) was designed and generated by a traditional manufacturing process (TraditionCART) or instant manufacturing platform (named InstanCART).

Validation of the Athens Insomnia Scale Among Young Chinese Male Population in a High-Altitude Situation.

Purpose: The Athens Insomnia Scale (AIS) is a widely used and authorized questionnaire for evaluating insomnia symptoms. However, its reliability and validity at high altitudes are uncertain. Therefore, this study aimed to confirm the validity and reliability of AIS during a 3658 m altitude exposure.

Feasibility and Effectiveness of Venoarterial Extracorporeal Membrane Oxygenation Plus Intra-Aortic Balloon Pump Assisted High-Risk Percutaneous Coronary Intervention in Complex Coronary Disease.

Background: Mechanical circulatory support may facilitate high-risk percutaneous coronary intervention (PCI). This study aimed to assess the feasibility, safety and effectiveness of high-risk PCI under the support of venoarterial extracorporeal membrane oxygenation (VA-ECMO) combined with intra-aortic balloon pump (IABP).

Methods: We enrolled patients who received VA-ECMO plus IABP-assisted PCI procedures at our center from April 2012 to June 2018.

A higher body mass index and increased syndesmophytes volume are associated with facet joints ankylosis on thoracic spine in patients with ankylosing spondylitis: a retrospective cohort study.

Objective: To investigate the association between syndesmophytes and facet joint (FJ) lesions in patients with ankylosing spondylitis (AS), and to identify clinical factors associated with FJ ankylosis (FJA) in thoracic segment.

Methods: Ninety-seven patients with AS who underwent thoracic spine computed tomography (CT) or chest CT and without completely thoracic spine fusion were included. FJ lesions were analyzed for the numbers and distribution of normal, ankylosis, erosions, joint-space narrowing, osteophytes, and subchondral sclerosis.

Huperzine A protected against ferroptosis via activating PI3K/Akt signaling in lipopolysaccharide induced acute lung injury.

Huperzine A (Hup A), an extract from Huperzia serrata, exerted its anti-inflammation and anti-oxidation effect to protect against neurodegenerative disorders and organ injury. Ferroptosis was indicated to involve in the development of acute lung injury (ALI) accompanying by lipid reactive oxygen species (ROS) overexpressed. However, there is little research focused on the protective effect of Hup A on ALI, and the underlying molecular mechanism remains elusive.

Development and Validation of a Nomogram for Predicting Postoperative Recurrence-Free Survival in Patients With Nonmetastatic Pathological T3a Stage Renal Cell Carcinoma.

Background: To establish a nomogram predicting postoperative recurrence-free survival (RFS) in patients with nonmetastatic renal cell carcinoma (RCC) of pathological T3a (pT3a) stage undergoing nephrectomy.

Materials And Methods: A retrospective review included 668 patients with pT3a RCC between 2008 and 2019, randomly divided into training and validation groups (7:3 ratio). Cox regression analysis established the RFS-predicting nomogram in the training group.

Template-based synergy extrapolation analysis for prediction of muscle excitations.

Accurate prediction of unmeasured muscle excitations can reduce the required wearable surface electromyography (sEMG) sensors, which is a critical factor in the study of physiological measurement. Synergy extrapolation uses synergy excitations as building blocks to reconstruct muscle excitations. However, the practical application of synergy extrapolation is still limited as the extrapolation process utilizes unmeasured muscle excitations it seeks to reconstruct.

Identification of miR-1 and miR-499 in chronic atrial fibrillation by bioinformatics analysis and experimental validation.

Background: Atrial fibrillation (AF) is one of the most prevalent arrhythmias and is characterized by a high risk of heart failure and embolic stroke, yet its underlying mechanism is unclear. The primary goal of this study was to establish a miRNA-mRNA network and identify the miRNAs associated with chronic AF by bioinformatics and experimental validation.

Methods: The GSE79768 dataset was collected from the Gene Expression Omnibus(GEO) database to extract data from patients with or without persistent AF.