Search Results (11)

Objectives: This study aims to explore the therapeutic effect and mechanism of stir-roasted deer velvet antler with ghee (ZLR) on Non-Alcoholic Fatty Liver Disease (NAFLD). Methods: This study used proteomics to analyze the protein composition of roasted deer antler velvet. It established a high-fat diet (HFD)-induced NAFLD rat model and evaluated the therapeutic effects of different dosage groups, including liver injury, oxidative stress, glucose metabolism, steatosis, and insulin homeostasis (via fasting glucose tolerance). Transcriptomics explored the mechanism. Gene expression and Western blot detected lipid metabolism-related gene expression. In vivo experiments validated that ZLR-containing serum alleviates NAFLD and reduces reactive oxygen species levels. Results: The results indicated that ZLR could significantly reduce the body weight, liver weight and degree of hepatic steatosis in HFD rats, improve glycolipid metabolism and insulin sensitivity, and alleviate oxidative stress damage. The mechanism involves activating the adenosine monophosphate-activated protein kinase/peroxisome proliferator-activated receptor (AMPK/PPAR) signaling pathway, regulating the expression of lipid metabolism-related genes, promoting fatty acid oxidation, and reducing fat deposition. The results of in vitro experiments show that ZLR-containing serum can effectively reduce lipid droplet production in liver cells and effectively alleviate oxidative stress damage in liver cells. Conclusions: The traditional Chinese medicine processed product ZLR can regulate lipid metabolism in the body and alleviate the degree of NAFLD by activating the AMPK and PPAR signaling pathways. It provides new ideas for the clinical treatment of NAFLD. Full article

In precision livestock farming, synchronous and high-precision instance segmentation of multiple key body parts of sika deer serves as the core visual foundation for achieving automated health monitoring, behavior analysis, and automated antler collection. However, in real-world breeding environments, factors such as lighting changes, severe individual occlusion, pose diversity, and small targets pose severe challenges to the accuracy and robustness of existing segmentation models. To address these challenges, this study proposes an improved model, MPDF-DetSeg, based on YOLO11-seg. The model reconstructs its neck network, and designs the multipath diversion feature fusion pyramid network (MPDFPN). The multipath feature fusion and cross-scale interaction mechanism are used to solve the segmentation ambiguity problem of deer body occlusion and complex illumination. The design depth separable extended residual module (DWEResBlock) improves the ability to express details such as texture in specific parts of sika deer. Moreover, we adopt the MPDIoU loss function based on vertex geometry constraints to optimize the positioning accuracy of tilted targets. In this study, a dataset consisting of 1036 sika deer images was constructed, covering five categories, including antlers, heads (front/side views), and legs (front/rear legs), and used for method validation. Compared with the original YOLO11-seg model, the improved model made significant progress in several indicators: the mAP50 and mAP50-95 under the bounding-box metrics increased by 2.1% and 4.9% respectively; the mAP50 and mAP50-95 under the mask metrics increased by 2.4% and 5.3%, respectively. In addition, in the mIoU index of image segmentation, the model reached 70.1%, showing the superiority of this method in the accurate detection and segmentation of specific parts of sika deer, this provides an effective and robust technical solution for realizing the multidimensional intelligent perception and automated applications of sika deer. Full article

Background/Objectives: The aim of this study was to investigate the role and potential mechanism of deer antler peptides (DAP) in D-galactose (D-gal)-induced brain injury. Methods: In the in vivo study, C57BL/6J mice were intraperitoneally injected with 400 mg/kg D-gal and gavaged with DAP (50 and 200 mg/kg) for 5 weeks. In vitro studies, D-gal (30 μg/mL) induced senescent BV2 cells were used for further research. Results: DAP increased the expression of BDNF and VEGF in the brain tissue of aging mice, reduced the levels of oxidative stress and inflammatory factors in serum, and decreased the pathological damage of brain tissue. In vitro, DAP promoted the proliferation of D-gal-induced senescent BV2 cells, reduced ROS level, and inhibited the release of IL-1β, IL-6 and TNF-α. In addition, DAP significantly reduced the protein expressions of TLR4 and MyD88, and inhibited the phosphorylation of NF-κB. Conclusions: DAP can inhibit the TLR4/MyD88/NF-κB signaling pathway, reduce oxidative stress and inflammation, and promote neovascularization. This indicates the therapeutic potential of DAP as a natural bioactive substance in preventing aging-related brain injury. Full article

At present, the monitoring technology of the growth status of sika deer antlers faces many challenges in a complex breeding environment (such as light change, object occlusion, etc.). More importantly, an effective method for the segmentation of sika deer antlers is still lacking, which hinders the development of subsequent quality classification of sika deer antlers. In order to fill the research gap and lay a foundation for future sika deer antler quality classification, this paper proposed an improved semantic segmentation model based on U-Net, named SDAS-Net. In order to improve the segmentation accuracy and generalization ability of the model in a complex environment, we introduced a two-dimensional discrete wavelet transform module (2D-DWT) in the encoder head to reduce noise interference and enhance the ability to capture features. In order to compensate for the loss of feature information caused by 2D-DWT, we embedded the Star Blocks module in the encoder. In addition, the efficient mixed channel attention (EMCA) module was introduced to adaptively enhance key feature channels in the decoder, and the dual cross-attention mechanism (DCA) module was used to fuse high-dimensional features in skip connections. To verify the validity of the model, we constructed a 1055-image sika deer antler dataset (SDR). The experimental results show that compared with the baseline model, the performance of the SDAS-Net model is significantly improved, reaching 92.12% in MIoU and 93.63% in the PA index, and the number of parameters is only increased by 6.9%. The results show that the SDAS-Net model can effectively deal with the task of sika deer antler segmentation in a complex breeding environment while maintaining high precision. Full article

Antlers are genetically coded to have bilateral symmetry. However, environmental stressors cause asymmetries between antlers. Previous studies have investigated fluctuating asymmetries on harvested white-tailed deer (Odocoileus virginianus Zimmermann, 1780). Cast antlers provide underutilized metrics that are not available prior to shedding. The objectives of this study were to quantify relative fluctuating asymmetry (RFA) between age groups and identify the best age-specific pre- and post-cast antler metrics to confirm an antler pair. We hypothesized lower RFA values for post-cast measurements than pre-cast measurements due to a lessened chance for damage when atop the head. Additionally, younger individuals were hypothesized to have higher RFA values due to greater susceptibility to environmental stressors. Cast antler pairs from 196 white-tailed deer were collected in Nebraska. We measured 14 available antler metrics per cast antler side classified by age group. The most symmetric measurements between antler sides included pedicle seal area, main beam length, and circumference. Antlers of older deer were consistently more symmetric than younger deer. When combining the top metrics and testing against random antler pairs, we found an 81.9–92.3% match rate for 1.5 and ≥2.5-year-olds, respectively. Our findings provided a quantifiable method to assign antler pair classifications more confidently while documenting decreased symmetry in younger individuals. Full article

Prehistoric communities had strong ties with the animal world that surrounded them—animals were prey, sources of food, and raw materials, but also threats and mysteries, and certain animals often had an important place in the symbolic realm. With the process of domestication and the switch to animal husbandry as the main source of animal food, these relations changed considerably, and a certain dichotomy between “the domestic” and “the wild” may be noted in numerous past communities. When it comes to the Neolithic period in the Balkans, domestic animals had an important place in subsistence and economy, and it seems that cattle had a particularly prominent symbolic role. Wild species preserved some of their significance in both subsistence and symbolic realms, especially cervids (red deer, roe deer, and fallow deer). In this paper, the place of deer in the material culture of the Neolithic communities in the Balkans will be analysed: skeletal elements of deer were used for the production of diverse items, including non-utilitarian ones, or were part of ritual depositions, and deer representations are encountered in other materials, such as clay figurines. The symbolic meaning of deer cannot be reconstructed with certainty; however, it is probable that deer were tied with territoriality and the landscape. Full article

Two Iron Age settlements, Tuzusai and Taldy Bulak 2 (ca. 500 BC to 1 CE), located in southeastern Kazakhstan on the Talgar alluvial fan north of the Tian Shan range, have yielded a small collection of bone, antler/horn, bronze, and stone artifacts with an affinity to the nomadic art of the first millennium BC. Both settlements date within the period of late Saka culture. Two pieces have decorative ornamentations with zoomorphic imagery: a small carved fragment with carved images of a wing and an ear and a perforated bone disk with the carving of three birds’ heads. The other artifacts include objects associated with Saka weaponry or nomadic economy, such as two horn psalias (cheek pieces) and a bronze amulet. A carnelian bead will also be described as an imported object. These special finds were found on the occupation floors of mud brick houses and in the pit houses of settlements, not in grave or burial contexts. The objects were placed in a stratigraphic sequence in the settlement sites. The method for placing these objects within the chronological framework of “animal-style art” is through comparisons with similar objects found throughout Eurasia—a method used in Soviet and post-Soviet archaeology. The results show that the functional and stylistic elements of the six objects indicate that the Talgar settlements were part of a larger world-system of trade and communication along the early Silk Route(s). Full article

The suitability of CT and 3D scanners for craniometric proposes was tested using digital calipers when determining linear measurements, and a measuring cylinder was used for the accuracy of 3D printing of deer antlers obtained by the CT and 3D scanners. The resolution of digitized objects from a 3D scanner ranged from 0.008 mm to 0.122 mm. For mandibular dimensions, a positive deviation (p < 0.01) from the primary control measurement was recorded. The average antler volume measured with the cylinder was 60.47 cm³ at the first measurement, in the case of the CT scanner 61.62 cm³ and for the 3D scanner 64.76 cm³—both technologies exhibit a positive deviation from the primary measurement. Precise sensing and measurements can be used to evaluate the quality and evolution of wildlife populations, create digital museum collections, or to examine in detail certain traits such as antler and horn development or dentition. Full article

In the area of zoology, it is of great interest to determine the degree of asymmetry existing in the different animal structures in order to establish it as a variable (biomarker). In this study, a new methodology is proposed for obtaining this variable ‘Asymmetry Index’. Forty-eight Iberian red deer antlers (Cervus elaphus hispanicus) from hunting reserves in the province of Jaen (Spain) have been used. The degree of asymmetry of their antlers between homologous points considered in the two right and left sides of each antler was obtained. The methodology is applied within a parametric Computer-Aided Design system from the photogrammetric restitution of the antler from two photographs. The procedure compares the degree of asymmetry in which the points of each of the right and left sides of the antler are found by means of lengths and angles with respect to an established reference plane based on the geometry of the specimen’s skull. As a result of the study, it has been observed that the Asymmetry Index obtained is lower in those specimens that have a high score in their hunting valuation, so it is considered that this factor can be taken into account as an objective and quantifiable indicator (biomarker). Full article

Quality grading in antler mushroom industrial production is a labor-intensive operation. For a long time, manual grading has been used for grading, which produces various problems such as insufficient reliability, low production efficiency, and high mushroom body damage. Automatic grading is a problem to be solved urgently for antler mushroom industrial development with increasing labor costs. To solve the problem, this paper deeply integrates the single-stage object detection of YOLOv5 and the semantic segmentation of PSPNet, and proposes a Y-PNet model for real-time object detection and an image segmentation network. This article also proposes an evaluation model for antler mushroom’s size, which eliminates subjective judgment and achieves quality grading. Moreover, to meet the needs of efficient and accurate hierarchical detection in the factory, this study uses the lightweight network model to construct a lightweight YOLOv5 single-stage object detection model. The MobileNetV3 network model embedded with a CBAM module is used as the backbone extractor in PSPNet to reduce the model’s size and improve the model’s efficiency and accuracy for segmentation. Experiments show that the proposed system can perform real-time grading successfully, which can provide instructive and practical references in industry. Full article

Velvet antler has a long history in traditional medicine. It is also an important healthy ingredient in food as it is rich in protein. However, there has been no report about antioxidant peptides extracted from velvet antler by enzymatic hydrolysis. Thus, the objective of this study was to hydrolyze velvet antler using different commercial proteases (Acalase, Neutrase, trypsin, pepsin, and α-chymotrypsin). Antioxidant activities of different hydrolysates were investigated using peroxyl radical scavenging assay by electron spin resonance spectrometry. Among all enzymatic hydrolysates, Alcalase hydrolysate exhibited the highest peroxyl radical scavenging activity. Alcalase hydrolysate was then purified using ultrafiltration, gel filtration, and reverse-phase high performance liquid chromatography. The purified peptide was identified to be Trp-Asp-Val-Lys (tetrapeptide) with molecular weight of 547.29 Da by Q-TOF ESI mass spectroscopy. This purified peptide exhibited strong scavenging activity against peroxyl radical (IC₅₀ value, 0.028 mg/mL). In addition, this tetrapeptide showed significant protection ability against AAPH-induced oxidative stress by inhibiting of reactive oxygen species (ROS) generation in Chang liver cells in vitro and in a zebrafish model in vivo. This research suggests that the tetrapeptide derived from Alcalase-proteolytic hydrolysate of velvet antler are excellent antioxidants and could be effectively applied as functional food ingredients and pharmaceuticals. Full article