A review of long non-coding RNAs in ankylosing spondylitis: pathogenesis, clinical assessment, and therapeutic targets.

Ankylosing spondylitis (AS) is a chronic immune-mediated type of inflammatory arthritis characterized by inflammation, bone erosion, and stiffness of the spine and sacroiliac joints. Despite great efforts put into the investigation of the disease, the pathogenesis of AS remains unclear, posing challenges in identifying ideal targets for diagnosis and treatment. To enhance our understanding of AS, an increasing number of studies have been conducted.

Design, Synthesis, Nematicidal, and Fungicidal Activities of Novel Azo and Azoxy Compounds.

() and are parasitic nematodes that have caused severe ecological and economic damage in pinewood and crops, respectively. Jietacins (jietacin A and B) were found to have excellent biological activity against . Based on our tremendous demand for chemicals against , a novel scaffold based on the azo and azoxy groups was designed, and a series of compounds were synthesized.

Predicting the Mechanism of Tiannanxing-shengjiang Drug Pair in Treating Pain Using Network Pharmacology and Molecular Docking Technology.

Objective: This study aimed to analyze the potential targets and mechanism of the Tiannanxing-shengjiang drug pair in pain treatment using network pharmacology and molecular docking technology.

Methods: The active components and target proteins of Tiannanxing-Shengjiang were obtained from the TCMSP database. The pain-related genes were acquired from the DisGeNET database.

P -Directed Late-Stage Ligation and Macrocyclization of Peptides with Olefins by Rhodium Catalysis.

Transition metal-catalyzed C-H activation is a step-economical strategy for peptide functionalization. Herein, we report the method of late-stage peptide ligation and macrocyclization through rhodium-catalyzed alkylation of tryptophan residues at the C7 position. This method utilizes a N-P Bu directing group and tolerates various peptide and alkene substrates.

A hybrid XGBoost-ISSA-LSTM model for accurate short-term and long-term dissolved oxygen prediction in ponds.

Dissolved oxygen (DO) is one of the most critical factors to measure the water quality in ponds, which greatly impacts on healthy growth of aquatic organisms. To improve the prediction accuracy of DO and grasp its changing trends, a novel hybrid DO prediction model based on the long short-term memory network (LSTM) optimized by an improved sparrow search algorithm (ISSA) is proposed. Firstly, to discard redundant information and improve the calculation speed of the model, the key factors that have a greater correlation with DO are selected as the input parameters by extreme gradient boosting (XGBoost).

Effect of storage states on stability of three organophosphorus insecticide residues on cowpea samples.

Background: The stability of pesticide residues in stored samples is very important to ensure the quality of data about the residues. The evaluation of pesticide residues in food and environment samples is an important means to ensure food quality and protect consumers against potential dietary risks. Improper storage of pesticide residue samples may result in loss of pesticide and unreliable data, which could affect safety assessments.

The stability of four organophosphorus insecticides in stored cucumber samples is affected by additives.

The influence of some additives, including metal ions, antioxidants, enzyme inhibitors and organic solvents, on the storage stability of four organophosphorus pesticides in cucumber samples were investigated. It was found that metal ions, including Al, Fe, and Co, increased the stability of dichlorvos, malathion, and chlorpyrifos. Conversely, Al, Fe, Fe, and Co caused catalytic degradation of diazinon.