Relationships between Antioxidants and Quality Characteristics from Velvet Antlers of Formosan Sambar Deer

Characterization of oxidative damage induced by nanoparticles via mechanism-driven machine learning approaches

The wide application of TiO₂-based engineered nanoparticles (nTiO₂) inevitably led to release into aquatic ecosystems. Importantly, increasing studies have emphasized the high risks of nTiO₂ to coastal environments. Bivalves, the representative benthic filter feeders in coastal zones, acted as important roles to assess and monitor the toxic effects of nanoparticles. Oxidative damage was one of the main toxic mechanisms of nTiO₂ on bivalves, but the experimental variables/nanomaterial characteristics were diverse and the toxicity mechanism was complex. Therefore, it was very necessary to develop machine learning model to characterize and predict the potential toxicity. In this study, thirty-six machine learning models were built by nanodescriptors combined with six machine learning algorithms. Among them, random forest (RF) - catalase (CAT), k-neighbors classifier (KNN) - glutathione peroxidase (GPx), neural networks - multilayer perceptron (ANN) - glutathione s-transferase (GST), random forest (RF) - malondialdehyde (MDA), random forest (RF) - reactive oxygen species (ROS), and extreme gradient boosting decision tree (XGB) - superoxide dismutase (SOD) models performed good with high accuracy and balanced accuracy for both training sets and external validation sets. Furthermore, the best model revealed the predominant factors (exposure concentration, exposure periods, and exposure matrix) influencing the oxidative stress induced by nTiO₂. These results showed that high exposure concentrations and short exposure-intervals tended to cause oxidative damage to bivalves. In addition, gills and digestive glands could be vulnerable to nTiO₂-induced oxidative damage as tissues/organs differences were the important factors controlling MDA activity. This study provided insights into important nano-features responsible for the different indicators of oxidative stress and thereby extended the application of machine learning approaches in toxicological assessment for nanoparticles.

Parentage testing and looking for single nucleotide markers associated with antler quality in deer (Cervus elaphus)

To provide a cost-efficient parentage testing kit for red deer (Cervus elaphus), a 63 SNP set has been developed from a high-density Illumina BovineHD BeadChip containing 777 962 SNPs after filtering of genotypes of 50 stags. The successful genotyping rate was 38.6 % on the chip. The ratio of polymorphic loci among effectively genotyped loci was 6.5 %. The selected 63 SNPs have been applied to 960 animals to perform parentage control. Thirty SNPs out of the 63 had worked on the OpenArray platform. Their combined value of the probability of identity and exclusion probability was 4.9×10-11 and 0.99803, respectively.

A search for loci linked with antler quality was also performed on the genotypes of the above-mentioned stags. Association studies revealed 14 SNPs associated with antler quality, where low-quality antlers with short and thin main beam antlers had values from 1 to 2, while high-quality antlers with long and strong main beams had values between 4 and 5. The chance for a stag to be correctly identified as having high-value antlers is expected to be over 88 %.

Optimization and Pretreatment for Hot Water Extraction of Korean Deer (Cervus canadensis Erxleben) Velvet Antlers

Velvet antler (VA) is a historically traditional medicinal supplement and is well known in Asian countries for its pharmaceutical and health benefits. The objectives for this study were to optimize the hot water extraction (HWE) of VA for the Korean VA industry, and to determine the most effective pretreatment method among microwave (MW), ultrasonication (US), and enzymatic (EZ) techniques. Using response surface methodology, optimum extraction temperatures and times were determined by central composite design configuration based on extraction yield and sialic acid content. Various quality parameters of VA extract including yield, soluble solid, protein, and sialic acid contents were also compared with the conjunction of HWE and pretreatment. The yield and sialic acid content of VA extract were determined to be 40% and 0.73 mg/g, respectively, under an optimum temperature of 100°C at 24 h of extraction time. The yields from VA extracts pretreated with MW, US, and EZ were 17.42%, 19.73%, and 29.15%, respectively. Among the tested commercial enzymes, pepsin was the most effective proteolytic enzyme and led to the highest yield (47.65%), soluble solids (4.03 °brix), protein (1.12 mg/ml), and sialic acid (3.04 mg/ml) contents from VA extract.

Sika deer antler protein against acetaminophen-induced oxidative stress and apoptosis in HK-2 cells via activating Nrf2/keap1/HO-1 pathway

Nf-E2-related transcription factor 2 (Nrf2) helps cells fight oxidative stress events in vivo and in vitro by promoting the expression of antioxidants and detoxification enzymes. The necessary factors regulating Nrf2 activity and stability during analgesic nephropathy are not fully understood. Our results suggest that acetaminophen produces nephrotoxicity in HK-2 cells by inhibiting keap1 degradation. APAP subsided Nrf2 nuclear accumulation by inhibition of keap1 degradation, thereby reducing the binding of Nrf2 to ARE, leading to the loss of expression of antioxidant proteins such as HO-1, inducing a series of oxidative stress and apoptosis events. Therefore, Nrf2/keap1/HO-1 signal transduction pathway has a poor prognosis during analgesic nephrotoxicity. Sika deer antler protein (SDAPR) significantly prevented APAP-induced HK-2 cell damage by constitutively stabilized Nrf2 nuclear retention. Excess APAP leads to a decrease in Nrf2 nuclear translocation, leading to severe oxidative stress, increasing the levels of GSH and MDA in HK-2 cells, and reducing the enzyme activities of SOD and CAT in HK-2 cells. Increased biomarker levels of acute kidney injury (AKI) in HK-2 cells, including kidney injury molecule-1, neutrophil gelatinase-associated lipocalin and cystatin C, decrease the mitochondrial membrane potential in HK-2 cells, and cause mitochondrial dysfunction, it also reduced the ratio of mitochondria-associated apoptotic protein Bax/Bcl-2, leading to cell apoptosis. SDAPR dose dependently accorded protection against acetaminophen-induced nephrotoxicity, oxidative damage, and cell apoptosis by its molecular intervention with Nrf2/keap1/HO-1 pathway via keap1 degradation. PRACTICAL APPLICATIONS: In this paper, we investigated the protective effect of SDAPR on APAP-induced AKI in HK-2 cells, and briefly explained its possible mechanism of action, providing a basis for future clinical trials and the development of anti-APAP AKI drugs.

Comparison of anti-inflammatory effect and protein profile between the water extracts from Formosan sambar deer and red deer

Velvet antler (VA), the unossified antler from members of the family Cervidae, has been used in traditional Chinese medicines and health foods for over 2000 years in enhancement of kidney function and treatment or prevention of cardiovascular, immunological and gynaecological disease. The aim of this study was to investigate the anti-inflammatory effect of velvet antler water extracts from Formosan sambar deer (Rusa unicolor swinhoei, SVAE) and red deer (Cervus elaphus, RVAE). Results indicated that both SVAE and RVAE significantly reduced the pro-inflammatory cytokines tumor necrosis factor-α (TNF-α ) and interleukin-6 (IL-6) productions in lipopolysaccharide (LPS)-stimulated RAW 264.7 cells at concentrations above 200 μg mL⁻¹. SVAE seems to demonstrate a better anti-inflammatory effect than that of RVAE in vitro. Both SVAE and RAVE also enhanced the anti-inflammatory cytokine IL-10 production in LPS-stimulated RAW 264.7 cells. The results of MTT assay indicated that SVAE and RVAE did not exhibit any cytotoxicity in LPS-stimulated RAW 264.7 cells. Two-dimensional (2D) gel electrophoresis analysis revealed that the levels of 6 specific proteins were different between these two velvet antlers samples. Furthermore, the storage period was the major factor affecting the anti-inflammatory activity of SAVE. In this study, we demonstrated the difference of anti-inflammatory effect and the protein profile between SVAE and RVAE. SVAE showed better anti-inflammatory potential than RVAE. In the future, the anti-inflammatory active components and their related mechanisms should be further investigated.