Hybridization-encoded DNA tags with paper-based readout for anti-forgery raw material tracking.

Tracking and tracing raw materials is crucial for securing global supply chains. Conventional methods like barcodes and Radio Frequency Identification (RFID) tags are effective but fall short in ensuring raw material traceability and anti-counterfeiting. This work introduces DNA as a powerful tool for source tracking, leveraging its invisibility, safety, and seamless product integration.

Innovative Atherosclerosis Models: Advancing Pathophysiology and Translational Research.

Atherosclerosis (AS) is a chronic inflammatory condition influenced by glucose and lipid disorders, oxidative stress, and thrombosis, reflecting the complexity of its pathological process. The development of accurate experimental models that simulate human AS is essential for understanding its initiation and progression. This review summarizes the current AS research models and analyzes their specific application scenarios.

Liposome-trimethyl chitosan nanoparticles codeliver insulin and siVEGF to treat corneal alkali burns by inhibiting ferroptosis.

Alkali burns are potentially blinding corneal injuries. Due to the lack of available effective therapies, the prognosis is poor. Thus, effective treatment methods for corneal alkali burns are urgently needed.

Using Convolutional Neural Network as a Statistical Algorithm to Explore the Therapeutic Effect of Insulin Liposomes on Corneal Inflammation.

Aiming at the disadvantages of easy recurrence of keratitis, difficult eradication by surgery, and easy bacterial resistance, insulin-loaded liposomes were prepared, and convolutional neural network was used as a statistical algorithm to build SD rat corneal inflammation model and study insulin-loaded liposomes, alleviating effect on corneal inflammatory structure in SD rats. The INS/PFOB@LIP was developed by means of thin-film dispersive phacoemulsification, its structure was monitored using a transmission electron microscope, particle size and appearance potential were monitored using a Malvern particle sizer, and ultraviolet consumption spectrum was monitored using a UV spectrophotometer. The encapsulation rate, drug loading, and distribution of insulin liposomes in rat corneal inflammatory model were measured and calculated.

Urea derivative organocatalyzed enantioselective Friedel-Crafts alkylation of α-naphthols with isatins.

An organocatalytic enantioselective Friedel-Crafts alkylation of α-naphthols with isatin derivatives was catalyzed by Takemoto-type urea catalyst to give optical active 3-(naphthalen-2-yl)-3-hydroxy-2-oxindoles in 75%-92% yields with up to 95% enantiomeric excess (ee) value. The catalyst type and the substrate scope were broadened in this methodology.

Shenjinhuoxue Mixture Attenuates Inflammation, Pain, and Cartilage Degeneration by Inhibiting TLR-4 and NF-B Activation in Rats with Osteoarthritis: A Synergistic Combination of Multitarget Active Phytochemicals.

Osteoarthritis (OA), a highly prevalent chronic joint disease, involves a complex network of inflammatory mediators that not only triggers pain and cartilage degeneration but also accelerates disease progression. Traditional Chinese medicinal shenjinhuoxue mixture (SHM) shows anti-inflammatory and analgesic effects against OA with remarkable clinical efficacy. This study explored the mechanism underlying anti-OA properties of SHM and evaluated its efficacy and safety via in vivo experiments.

Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification.

The worldwide spread of coronavirus disease (COVID-19) has become a threat to global public health. It is of great importance to rapidly and accurately screen and distinguish patients with COVID-19 from those with community-acquired pneumonia (CAP). In this study, a total of 1,658 patients with COVID-19 and 1,027 CAP patients underwent thin-section CT and were enrolled.

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.

Chest computed tomography (CT) becomes an effective tool to assist the diagnosis of coronavirus disease-19 (COVID-19). Due to the outbreak of COVID-19 worldwide, using the computed-aided diagnosis technique for COVID-19 classification based on CT images could largely alleviate the burden of clinicians. In this paper, we propose an Adaptive Feature Selection guided Deep Forest (AFS-DF) for COVID-19 classification based on chest CT images.

Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning.

Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of infected patients and heavy labor for doctors, computer-aided diagnosis with machine learning algorithm is urgently needed, and could largely reduce the efforts of clinicians and accelerate the diagnosis process. Chest computed tomography (CT) has been recognized as an informative tool for diagnosis of the disease.

Validation of the Key Active Ingredients and Anti-Inflammatory and Analgesic Effects of Shenjin Huoxue Mixture Against Osteoarthritis by Integrating Network Pharmacology Approach and Thin-Layer Chromatography Analysis.

Background: Shenjin Huoxue Mixture (SHM), a classic traditional herb mixture has shown significant clinical efficacy against osteoarthritis (OA). Our previous experimental study has confirmed its anti-inflammatory and analgesic effect on acute soft tissue injury in rats, with the compound of glycyrrhizinate in SHM identified and the content of paeoniflorin in SHM determined by high-performance liquid chromatography (HPLC). However, the components and its pharmacological mechanisms of SHM against OA have not been systematically elucidated yet.

Predicting Brain Age of Healthy Adults Based on Structural MRI Parcellation Using Convolutional Neural Networks.

Structural magnetic resonance imaging (MRI) studies have demonstrated that the brain undergoes age-related neuroanatomical changes not only regionally but also on the network level during the normal development and aging process. In recent years, many studies have focused on estimating age using structural MRI measurements. However, the age prediction effects on different structural networks remain unclear.

A new genus of Rhaphidophorinae (Orthoptera, Rhaphidophoridae) from China.

In this article, a new genus Sinorhaphidophora gen. nov., three new combinations: Sinorhaphidophora hainanensis (Bian Shi, 2016) comb.

[PK/PD of vancomycin in patients with severe acute pancreatitis combined with augmented renal clearance].

Objective: To evaluate the serum trough concentration and the pharmacokinetics/pharmacodynamics (PK/PD) of vancomycin in patients with severe acute pancreatitis (SAP), and analyze the effect of vancomycin continuous infusion for optimizing the characteristics of its PK/PD.

Methods: The inhospital patients with SAP received vancomycin treatment and admitted to emergency intensive care unit (EICU) of Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 2011 to December 2016 were enrolled. Steady-state trough concentrations of vancomycin from patients were collected retrospectively.

[Pharmacokinetics of vancomycin in patients with severe acute pancreatitis and its influencing factors: analysis of 7 years data].

Objective: To observe the change of the serum trough concentration and its pharmacokinetics of vancomycin in patients with severe acute pancreatitis (SAP), and to analyze the factors influencing vancomycin concentration.

Methods: A retrospective analysis was conducted. Steady-state trough concentrations of vancomycin from patients (18-80 years old) with SAP concomitantly with G infection admitted to Intensive Care Unit (ICU) of Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 2010 to December 2016 were enrolled.

Pre-Treatment Serum C-Reactive Protein Level Is An Independent Risk Factor for Development of Nephrotoxicity in Patients Receiving High-Dose Vancomycin.

High-dose vancomycin treatment increases the likelihood of vancomycin-related nephrotoxicity. C-reactive protein (CRP) is a sensitive marker of systemic inflammation. In this study, we evaluated the pre-treatment serum CRP level as a risk factor of the development of nephrotoxicity in patients receiving high total daily doses (>2.

The pharmacokinetics of vancomycin in patients with severe acute pancreatitis.

Objective: The aim of this study was to evaluate the pharmacokinetics of vancomycin in patients with severe acute pancreatitis (SAP).

Methods: Sixty-seven patients with SAP were included. The FPIA method was used to measure vancomycin serum trough concentrations, and the pharmacokinetic parameters were calculated using the Bayesian estimator.