Maillard reaction products inhibit lipid oxidation by regulating myoglobin stability in washed muscle model.

Lipid oxidation significantly contributes to muscle deterioration, with heme protein oxidation playing a crucial role in this process. This study investigated the inhibition of heme protein oxidation by Maillard reaction products (MRPs) using a washed muscle model combining washed carp with myoglobin (Mb). Protein oxidation products, protein texture, and lipid oxidation levels were assessed.

Classification of coronary artery disease using radial artery pulse wave analysis via machine learning.

Background: Coronary artery disease (CAD) is a major global cardiovascular health threat and the leading cause of death in many countries. The disease has a significant impact in China, where it has become the leading cause of death. There is an urgent need to develop non-invasive, rapid, cost-effective, and reliable techniques for the early detection of CAD using machine learning (ML).

Effect of fatty acid composition on the volatile compounds of pasteurized milk during low-temperature storage.

The change in milk fat during storage greatly influences its flavor. This study investigates the effect of fatty acid composition on milk flavor by analyzing volatile compounds in pasteurized whole milk (PWM) and pasteurized skim milk (PSM) during storage at 4 °C. 33 types of volatile compounds were detected and the content of ketones was highest, followed by esters and aldehydes.

5-Fluorouracil resistance-based immune-related gene signature for COAD prognosis.

Background: Drug resistance is the primary obstacle to advanced tumor therapy and the key risk factor for tumor recurrence and death. 5-Fluorouracil (5-FU) chemotherapy is the most common chemotherapy for individuals with colorectal cancer, despite numerous options.

Methods: The Gene Expression Omnibus database was utilized to extract expression profile data of HCT-8 human colorectal cancer wild-type cells and their 5-FU-induced drug resistance cell line.

Prediction of hypertension risk based on multiple feature fusion.

Objective: In the application of machine learning to the prediction of hypertension, many factors have seriously affected the classification accuracy and generalization performance. We propose a pulse wave classification model based on multi-feature fusion for accuracy prediction of hypertension.

Methods And Materials: We propose an ensemble under-sampling model with dynamic weights to decrease the influence of class imbalance on classification, further to automatically classify of hypertension on inquiry diagnosis.

Jianpi Jiedu decoction suppresses colorectal cancer growth by inhibiting M2 polarization of TAMs through the tryptophan metabolism-AhR pathway.

Background: Traditional Chinese medicine, JianpiJiedu decoction (JPJDF), has been utilized in colorectal cancer (CRC) treatment for over forty years. The potential of JPJDF to inhibit CRC through modulation of intestinal microbiota and their metabolites remains uncertain.

Aims: This study aims to further investigate the therapeutic mechanisms of JPJDF in CRC.

Recruitment of beneficial cucumber rhizosphere microbes mediated by amino acid secretion induced by biocontrol isolate 1JN2.

Introduction: At present, the use of beneficial microorganisms to control cucumber wilt is a widely used method, and the rhizosphere microecological reset is one of the mechanisms involved. However, how biocontrol strains reshape cucumber rhizosphere microecology remains to be further studied.

Methods: The composition changes of cucumber root exudates induced by biocontrol strain 1JN2, the microbial ecology of cucumber rhizosphere and the colonization ability of biocontrol strain 1JN2 in cucumber rhizosphere were analyzed through UHPLC-MS/MS analysis, Illumina high-throughput sequencing and SEM, respectively.

An innovative approach for assessing coronary artery lesions: Fusion of wrist pulse and photoplethysmography using a multi-sensor pulse diagnostic device.

Coronary heart disease (CHD) is a leading cause of mortality globally and poses a significant threat to public health. Coronary angiography (CAG) is a gold standard for the clinical diagnosis of CHD, but its invasiveness restricts its widespread application. In this study, we utilized a pulse diagnostic device equipped with pressure and photoelectric sensors to synchronously and non-invasively capture wrist pressure pulse waves and fingertip photoplethysmography (FPPG) of patients undergoing CAG.

Risk prediction of pulse wave for hypertensive target organ damage based on frequency-domain feature map.

The application of deep learning to the classification of pulse waves in Traditional Chinese Medicine (TCM) related to hypertensive target organ damage (TOD) is hindered by challenges such as low classification accuracy and inadequate generalization performance. To address these challenges, we introduce a lightweight transfer learning model named MobileNetV2SCP. This model transforms time-domain pulse waves into 36-dimensional frequency-domain waveform feature maps and establishes a dedicated pre-training network based on these maps to enhance the learning capability for small samples.

Ocu-miR-10a-5p promotes the chondrogenic differentiation of rabbit BMSCs by targeting BTRC-mediated Wnt/β-catenin signaling pathway.

MicroRNAs (miRNAs) play an important role in articular cartilage damage in osteoarthritis (OA). However, the biological role of miRNAs in the chondrogenic differentiation of bone marrow mesenchymal stem cell (BMSC) remains largely unclear. Rabbit bone marrow mesenchymal stem cells (rBMSCs) were isolated, cultured, and identified.

Artificial neural networks based multimodal device for autism spectrum disorder.

The neuro developmental condition known as Autism Spectrum Disorder (ASD) affects people on a lifetime basis and exhibits itself in a wide range of ways. In this research work a brand-new semi-supervised training method for the recognition of discrete multi-modal autism spectrum disorder is proposed. At the coarse-grained level, we consider that various methodologies are anticipated to explore equivalent information about child autism.

Mapping the intellectual structure and landscape of nano-drug delivery systems in colorectal cancer.

Colorectal cancer (CRC) is a prevalent malignancy affecting the digestive tract, and its incidence has been steadily rising over the years. Surgery remains the primary treatment modality for advanced colorectal cancer, complemented by chemotherapy. The development of drug resistance to chemotherapy is a significant contributor to treatment failure in colorectal cancer.

Effects of Maillard reaction products on myoglobin-mediated lipid oxidation during refrigerated storage of carp.

Lipid oxidation is the major cause of quality deterioration in freshwater fish, especially mediated by myoglobin (Mb). This study aimed to investigate the antioxidant mechanism of Maillard reaction products (MRPs) in Mb-mediated lipid oxidation in common carp (Cyprinus carpio). MRPs exhibited promising antioxidant and antimicrobial capacities based on the reduced content of peroxide and thiobarbituric acid-reactive substances and inhibited microbial growth.

Uncertainty quantification of microcirculatory characteristic parameters for recognition of cardiovascular diseases.

Background: Cardiovascular disease is one of the leading causes of death worldwide. However, according to studies, 90% of cardiovascular diseases can be prevented. Cardiovascular function parameters are an important basis for the diagnosis of cardiovascular diseases.

The effect of B-type procyanidin on free radical and metal ion induced β-lactoglobulin glyco-oxidation via mass spectrometry and interaction analysis.

Procyanidin is a group of dietary flavonoids abundant in berry fruits. In this study, the effects and underlying mechanisms of B type procyanidin (PC) on free radical and metal ion (HO, AAPH and Fe) induced milk protein β-lactoglobulin (BLG) glyco-oxidation were investigated. The results indicated that PC protected BLG structure changes from cross-link and aggregation induced by free radicals and metal ion.

The effect of lactose and its isomerization product lactulose on functional and structural properties of glycated casein.

Lactulose is an isomer of lactose, formed under thermal processing of milk. Alkaline conditions favor the isomerization of lactose. As reducing sugar, lactose and lactulose could participate in the Maillard reaction and cause protein glycation in milk products.

Effect of milk fat and its main fatty acids on oxidation and glycation level of milk.

Unlabelled: Milk is a highly nutritional food rich in protein and fat that is prone to deterioration by oxidation and glycation reactions at storage and processing. In this study, glycation products and lipid oxidation products contents in skim milk, whole milk, and milk fat simulation groups were determined to evaluate the effect of milk fat components on glycation at 120 °C for 60 min. The increase rate of carbonyl compound, main advanced glycation end products (AGEs) levels, and glycation sites number of -casein and -casein are higher in whole milk than that in skim milk, indicating that milk fat promoted protein glycation significantly.

Tongue crack recognition using segmentation based deep learning.

Tongue cracks refer to fissures with different depth and shapes on the tongue's surface, which can characterize the pathological characteristics of spleen and stomach. Tongue cracks are of great significance to the objective study of tongue diagnosis. However, tongue cracks are small and complex, existing methods are difficult to extract them effectively.

Turfgrass-dependent mycotrophic change enhances soil deterioration in dry, cold and high-alkali environments.

Aims: Soil quality is undergoing severe degradation under anthropogenic effects. Different methods of land management have been implemented for soil reclamation, such as turfing. Although widely accepted to improve soil quality, turfing in specific environments may also culminate in soil deterioration.

Tongue Image Texture Classification Based on Image Inpainting and Convolutional Neural Network.

Tongue texture analysis is of importance to inspection diagnosis in traditional Chinese medicine (TCM), which has great application and irreplaceable value. The tough and tender classification for tongue image relies mainly on image texture of tongue body. However, texture discontinuity adversely affects the classification of the tough and tender tongue classification.

Spectroscopic analysis of the effect of glycation on casein structure and aggregation and its dependence on lactose concentration.

In order to study the effect of glycation on the molecular structure of casein (CN), three groups of simulated milk powders with different lactose (Lac) contents, CN:Lac = 1:1.5, 1:2, and 1:2.5 (m:m), were constructed.