Conectar
by Jinghui Xie, Haofang Guan, Maohui Liu, Weijun Ding
BackgroundCurrent obesity treatments include behavioral interventions, pharmacotherapy and surgery. Recently, the combination of ‘medicinal food’ products such as the plant Crataegus pinnatifida and its interaction with the gut microbiota has shown promise as an alternative therapeutic strategy to treat obesity.
MethodsWe obtained secondary metabolites (SMs) of obesity-related gut microbiota and Crataegus pinnatifida from gutMGene database and NAPSS database. bioinformatics analysis was used to elucidate key target and signaling pathways, whereas molecular docking (MD), molecular dynamics simulation and quantum chemical calculations identified crucial SMs involved in these pathways. The toxicity and physicochemical properties of these SMs were also assessed.
ResultsPhosphoinositide-3-kinase regulatory subunit 1 (PIK3R1), a key mediator in the phosphoinositide 3-kinase (PI3K)/ Protein Kinase B (Akt) pathway that is crucial for regulating insulin signaling and adipogenesis, emerged as the central hub within the PPI network. Strong binders to PIK3R1 were predicted to be quercetin, kaempferol and naringenin chalcone, suggesting their potential as therapeutic agents to treat obesity.
ConclusionThe synergistic combination of Crataegus pinnatifida and the obesity-related gut microbiota holds promise as a novel therapeutic strategy for obesity by targeting PIK3R1 and modulating the PI3K/Akt signaling pathway. Further experimental validation is necessary to confirm these findings.
by Jiaxu Chen, Lin Zhao, Jinghui Liu, Gaolei Wang, Zhan Guo
To quantitatively analyze the coupling relationships between railway safety risk factors, identify key factors contributing to railway accidents, and develop scientific strategies for accident prevention, this study introduces a complex network-based N-K model to investigate the coupling relationships of railway safety risk factors. First, we identified 18 railway safety risk factors by analyzing case data from railway accidents. The occurrence probabilities and coupling values of these risk factors were then calculated using the N-K model. Subsequently, based on the constructed railway safety risk complex network, reachability and centrality analyses were performed to determine the key factors of railway safety risk. Results indicate that the occurrence of railway accidents is directly proportional to the risk coupling value; the greater the number of coupling factors, the higher the risk value. The coupling of personnel factors and equipment factors is particularly prone to leading to railway accidents. Conversely, effective management of the coupling between personnel and equipment factors can significantly reduce the likelihood of accidents. Inadequate maintenance and unsafe human behavior were identified as critical factors contributing to railway accidents and should be prioritized in prevention efforts.by Jingwei Song, Alexander A. Langley, Michael A. Banks, Bernarda Calla
Hemolymph is vital for bivalves, contributing to their innate immune system, nutrient transport, waste elimination, and hormone regulation. Yet, traditional sampling methods are often invasive or fatal to the organisms. In this study, we evaluated the effects of repeated, non-lethal hemolymph sampling on adult Pacific oysters (Magallana gigas). Five- year-old oysters were relaxed with magnesium sulphate, and hemolymph was extracted from half of the individuals, while the other half with relaxation served as controls. Sampling took place during gonad maturation in two groups: one laboratory conditioned (approximately three months in indoor tanks with controlled environment), and one naturally conditioned (approximately seven months at the bay in Yaquina Bay, Oregon, USA). Total mortalities ranged from 10% in the laboratory groups (after four samplings) and 22% (after seven samplings) in the natural groups; most of the mortalities took place after the last sampling. Sex ratio was similar between the sampled (66%) and control groups (63%) in the laboratory setting. In the natural setting, the final sex ratio was male biased in the group that was repeatedly sampled for hemolymph (58%) compared to the non-sampled controls (28%). Our findings highlight that repeated hemolymph sampling can be performed with minimal mortality, allowing non-lethal monitoring of hemolymph physiology over time.by Mengqi Yuan, Yajing Yuan, Xiangqun Zhang, Zhenghao Zhu, Chenxi Zhao, Xiangqian Gao, Genyuan Du
Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. Therefore, the research on millimeter wave radar object detection is of great practical significance for applications in the field of intelligent security and transportation. However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. Focusing on the above problems, a new target detection and classification framework of S2DB-mmWave YOLOv8n, based on deep learning, is proposed to realize more accuracy. There are three main improvements. First, a novel backbone network was designed by incorporating new convolutional layers and the Simplified Spatial Pyramid Pooling - Fast (SimSPPF) module to strengthen feature extraction. Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. A publicly available 5-class object mmWave radar heatmap dataset, including 2,500 annotated images, were selected for data modeling and method evaluation. The results show that the mean average precision (mAP), precision and recall of the S2DB-mmWave YOLOv8n model were 93.1% mAP@0.5, 55.8% mAP@0.5:0.95, 89.4% and 90.6%, respectively, which is 3.3, 1.6, 4.5 and 7.7 percentage points higher than the baseline YOLOv8n network without increasing the parameter count.by Ming Li, Jingang Ma, Jing Zhao
Since Transformers have demonstrated excellent performance in the segmentation of two-dimensional medical images, recent works have also introduced them into 3D medical segmentation tasks. For example, hierarchical transformers like Swin UNETR have reintroduced several prior knowledge of convolutional networks, further enhancing the model’s volumetric segmentation ability on three-dimensional medical datasets. The effectiveness of these hybrid architecture methods is largely attributed to the large number of parameters and the large receptive fields of non-local self-attention. We believe that large-kernel volumetric depthwise convolutions can obtain large receptive fields with fewer parameters. In this paper, we propose a lightweight three-dimensional convolutional network, LKDA-Net, for efficient and accurate three-dimensional volumetric segmentation. This network adopts a large-kernel depthwise convolution attention mechanism to simulate the self-attention mechanism of Transformers. Firstly, inspired by the Swin Transformer module, we investigate different-sized large-kernel convolution attention mechanisms to obtain larger global receptive fields, and replace the MLP in the Swin Transformer with the Inverted Bottleneck with Depthwise Convolutional Augmentation to reduce channel redundancy and enhance feature expression and segmentation performance. Secondly, we propose a skip connection fusion module to achieve smooth feature fusion, enabling the decoder to effectively utilize the features of the encoder. Finally, through experimental evaluations on three public datasets, namely Synapse, BTCV and ACDC, LKDA-Net outperforms existing models of various architectures in segmentation performance and has fewer parameters. Code: https://github.com/zouyunkai/LKDA-Net.by Jing Guo, Wenshuang Wang, Xiaoxue Zhang, Yulin Zheng, Xinran Wang
Frailty is a common multifactorial clinical syndrome in older patients that seriously affects their prognosis. However, most studies to date have ignored the dynamics of frailty. Therefore, we employed a one-month observational longitudinal study to explore frailty trajectories using a latent class growth model. In total, 155 older patients who underwent abdominal surgery involving the digestive system were assessed preoperatively, at discharge, and at the one-month follow-up, and multiple logistic regression analysis was conducted to identify factors influencing frailty trajectories. Four frailty trajectory patterns were identified: no frailty (13.5%), frailty exacerbation (40.0%), frailty improvement (20.0%), and persistent frailty (26.5%). Logistic regression analysis revealed that body mass index, the Charlson comorbidity index score, the type of surgery, the intraoperative drainage tube retention time (drainage time), the first time the patient got out of bed after surgery, the time of the first oral feed after surgery, postoperative complications, mobility, nutritional risk, and anxiety were associated with frailty trajectories. We identified four frailty trajectories in older patients undergoing abdominal surgery involving the digestive system and found that these trajectories were influenced by multiple factors. Focusing on individual specificity is conducive to accurately addressing frailty-associated clinical problems and guiding relevant nursing decisions.by Hui Ouyang, Xiaolin Dou, Xinying Li, Mingyu Cao, Zhijing Wu, Fada Xia
PurposeThis retrospective cohort study aimed to reevaluate the prognostic impact of sex and determine whether age modifies the effect of sex on cancer-specific survival (CSS) in PTC patients.
MethodsData for PTC patients diagnosed between 2004 and 2015 were retrieved from the SEER database. The primary outcome was CSS. The effect of Sex was evaluated using both relative (hazard ratios, HRs) and absolute measures (survival differences). Additionally, the effect of sex modified by age was assessed using restricted cubic spline curves from the Cox and Poisson models, with further analysis of the interaction between sex and age.
ResultsOf 77,349 patients, 16,152 (20.9%) were male. Men exhibited older age, more aggressive clinicopathological features, and received more radioactive iodine treatment. Multivariate Cox analysis determined male sex as an independent risk factor (adjusted HR: 1.46 (1.24–1.70). The 10-year and 15-year survival differences between men and women were 0.46% (95% CI, 0.25%−0.67%) and 0.77% (95% CI, 0.31%−1.22%), respectively. Moreover, a nonlinear effect for sex across age was observed, with HRs for men plateauing below age 50 and decreasing thereafter. Importantly and conversely, before age 50, the absolute survival difference increased slightly with age, but after 50, it significantly widened. Furthermore, A significant negative multiplicative interaction between sex and age was found.
ConclusionsOur analyses provide robust evidence that male sex is indeed an independent risk factor for CSS in PTC patients. Although younger female patients show a relative survival advantage, this does not translate into a substantial absolute benefit, which widens with advancing age.
by Zhihao Zheng, Jianguang Zhao, Jingjing Fan
Uav target detection is a key technology in low altitude security, disaster relief and other fields. However, in practical application scenarios, there are many complex and highly uncertain factors, such as extreme weather changes, large scale and span of the target, complex background interference, motion ambiguity, etc., which makes accurate and real-time UAV target detection still a great challenge. In order to reduce the interference of these situations in real detection scenes and improve the accuracy of UAV detection, a Global Edge Information Enhance (GEIE)module is proposed in this paper, which enables edge information to be fused into features extracted at various scales. It can improve the attention of the network to the edge information of the object. In addition, special weather conditions can greatly reduce the detection accuracy of the target, this paper proposes a Multiscale Edge Feature Enhance(MEFE) module to extract features from different scales and highlight edge information, which can improve the model’s perception of multi-scale features. Finally, we propose a Lightweight layered Shared Convolutional BN(LLSCB) Detection Head based on LSCD, so that the detection heads share the convolutional layer, and the BN is calculated independently, which improves the detection accuracy and reduces the number of parameters. A high performance YOLO detector (YOLO-GML) based on YOLO11 model is proposed. Experimental results show that Compared with YOLO11s, YOLO-GML can improve AP50 by 2.3% to 73.6% on the challenging UAV detection dataset HazyDet, achieving a better balance between accuracy and inference efficiency compared to the most advanced detection algorithms. YOLO-GML also showed good performance improvement in the SODA-A and VisDrone-2019 datasets, demonstrating the generalization of the model.by Xi Cao, Bi-ting Zhu, Cai-peng Xie, Jing-yue Cai, Ding-guo Dong, Miao-ting Chen, Cheng-zhao Huang, Yong-chun Lin
To explore the risk factors influencing vancomycin trough concentration (Cvg−min) overexposure in critically ill patients with mechanical ventilation and rank the factors, the medical records of 194 mechanically ventilated critically ill patients hospitalized from 12/10/2021–06/10/2024 were analyzed. Among 194 critically ill patients, 77.83% were male and 22.17% were female. Univariate analysis showed that oxygenation index (OI), activated partial thromboplastin time (APTT), urea nitrogen (UN), septic shock, heart disease, congestive heart failure (CHF), moderate/severe chronic kidney disease (CKD), etc. were statistically different (P P P CI) and consistency ratio (CR) of analytic hierarchy process (AHP) was 0.0796 and 0.0885, respectively, which meets the consistency test standard. The contributions of APTT, OI, CHF and moderate to severe CKD to the overexposure of Cvg−min were 0.0584, 0.1899, 0.1614 and 0.5902, respectively. The overexposure rates of Cvg−min in patients with moderate/severe CKD and CHF were 95.12% and 95.23%, respectively. With regard to OI, when the cutoff value of OI was less than 245, the Cvg−min overexposure rate was 83%, otherwise, the overexposure rate was 60.97%. The risk factors for excessive exposure of Cvg−min in critically ill patients with mechanical ventilation were ranked as follows: moderate/severe CKD > OI > CHF > APTT.by Chao Xu, Chuan Shao, Jing Wang, Xinmin Ding, Nan Wu
BackgroundData regarding the association between anthropometric factors and meningioma risk are inconsistent. Our aim was to investigate the association of body mass index (BMI), height, waist to hip ratio (WHR), waist circumference, and meningioma risk through a comprehensive meta-analysis.
MethodsAn extensive review of literature was conducted in PubMed and Embase databases. Random-effects models were used to pool the study-specific relative risk estimates (RRs) and 95% confidence intervals (CIs). Moreover, we employed a dose-response meta-analysis with a one-stage robust error meta-regression (REMR) model.
ResultsWe included nine prospective studies for four anthropometric factors listed above and meningioma risk. Compared with normal weight, both overweight (RR:1.11, 95% CI: 1.04, 1.19; P = 0.003, I2 = 0.0%) and obesity (RR: 1.38, 95% CI:1.16, 1.64; P 2 = 54.7%) were statistically significantly associated with meningioma risk. Dose-response analysis showed a nonlinear relationship between BMI and meningioma risk (P = 0.038). For height, a positive association was identified for men (RR:1.30, 95% CI:1.08, 1.56; P = 0.005, I2 = 0.0%) but not women (RR:1.13, 95% CI: 0.94,1.36; P = 0.186, I2 = 49.8%). Highest vs. lowest levels analyses also showed a positive association between meningioma risk and waist circumference (RR:1.89, 95% CI:1.34, 2.66; P 2 = 0.0%) and WHR (RR:1.40, 95% CI:1.00, 1.94; P = 0.048, I2 = 0.0%).
ConclusionOur meta-analysis indicates greater height (in men) and excess weight and body fat mass were associated with an increased risk of meningioma. Further prospective studies with particular attention to sex disparity and dose-response analysis are warranted to confirm our observation.
by Jinfeng Yang, Yangzi Liujiao, Xijing Zhang, Jiong Xiong, Fengming Wang, Feng Shen
BackgroundNorepinephrine (NE) is a first line and effective vasopressor for septic shock management, but its impact on newonset acute kidney injury (AKI) in those patients remains controversial. This study sought to investigate the relationship between norepinephrine dose trajectories and the new occurrence of AKI during the management of septic shock by using NE.
MethodsA retrospective cohort study was conducted using the MIMIC-IV database, which includes 3,462 patients diagnosed with septic shock during the initial 96 hours following their admission to the ICU. The unique patterns of trajectory analysis of NE were characterized by using group-based trajectory modeling (GBTM) during the initial four days of ICU admission. We employed multivariable logistic regression analysis and subgroup analysis to evaluate the association between NE dose trajectories and new-onset AKI in patients with septic shock.
ResultsThree NE dose trajectories were identified: low NE dose (47.3%), middle NE dose (41.5%), and high NE dose (11.2%). The high NE dose trajectory had significantly higher risks for new onset of AKI (OR 2.39, 95% CI 1.43–3.99), MAKE-30 (OR 3.82, 95% CI 2.97–4.91), and for 28-day mortality (HR 2.01, 95% CI 1.70–2.37) compared to the low NE dose trajectory. Despite over 90% of patients in the middle NE dose trajectory developing AKI, patients in this trajectory exhibited a lower risk of MAKE-30 and 28-day mortality. After comprehensive adjustment for demographic characteristics, comorbidities, acute physiological status, laboratory indicators, and fluid management, high NE dose trajectory remained independently associated with increased risk of new-onset AKI (OR 1.39, 95% CI 1.04–1.86, P = 0.024), this association persisted across multiple subgroup analyses.
ConclusionDuring the management of septic shock, high dose of NE trajectory was associated with high likelihood of new onset of AKI, high possibility of MAKE-30 and high 28-day mortality in patients with septic shock. High NE dose trajectory serves as an independent predictor for assessing the risk of new-onset AKI in patients with septic shock.
by Zhenzhen Li, Lili Cui, Jing Sun, Wanlu Liu
ObjectiveThe relationship among body mass index (BMI), postoperative complications, and clinical outcomes in patients undergoing gastrectomy for gastric cancer remains unclear. This study aimed to evaluate this association using a meta-analysis.
MethodWe conducted a systematic search of the PubMed, Embase, and Cochrane Library databases up to February 25, 2024. Patients were classified into underweight (2), normal weight (18.5–25.0 kg/m2), and overweight (≥25.0 kg/m2) groups based on BMI categories. Meta-analysis was performed using a random-effects model. Additionally, exploratory sensitivity and subgroup analyses were performed.
ResultsTwenty-two studies involving 41,144 patients with gastric cancer were included for quantitative analysis. Preoperative underweight (odds ratio [OR]: 1.26; 95% confidence interval [CI]: 1.03–1.55; P = 0.024) and overweight (OR: 1.19; 95%CI: 1.09–1.30; P P P P = 0.069), whereas preoperative overweight was associated with longer disease-free survival (HR: 0.80; 95%CI: 0.70–0.91; P = 0.001). In terms of specific postoperative complications, preoperative underweight was associated with an increased risk of septic shock (OR: 3.40; 95%CI: 1.26–9.17; P = 0.015) and a reduced risk of fever (OR: 0.39; 95%CI: 0.18–0.83; P = 0.014). Preoperative overweight was associated with an increased risk of wound infections (OR: 1.78; 95%CI: 1.08–2.93; P = 0.023), intestinal fistula (OR: 5.23; 95%CI: 1.93–14.21; P = 0.001), arrhythmia (OR: 6.38; 95%CI: 1.70–24.01; P = 0.006), and pancreatic fistula (OR: 3.37; 95%CI: 1.14–9.96; P = 0.028).
ConclusionThis study revealed that both preoperative underweight and overweight status were associated with an increased risk of postoperative complications. Moreover, the postoperative survival outcomes were significantly better in overweight compared to that of underweight patients.
Trial registrationRegistration: INPLASY202480004.
by Kaifang Meng, Xu Chen, Zhishang Chen, Jing Xu
BackgroundLife expectancy at age 70 has continued to rise globally over the past 30 years. However, a comprehensive assessment of the burden of COPD in older adults is lacking. We aimed to estimate the burden of COPD and its attributable risk factors among adults aged ≥70 years.
MethodsData on the prevalence, incidence, deaths, disability-adjusted life years (DALYs), and risk factors of COPD among adults aged ≥70 years from 1990 to 2021 across 204 countries and territories, were sourced from the Global Burden of Disease Study 2021. Estimated annual percentage change (EAPC) was used to illustrate temporal trends at global and regional levels from 1990 to 2021.
ResultsIn 2021, the global numbers of prevalent and incident COPD cases among older adults were 99.7 and 7.4 million, increasing by 162.2% and 157.4% from 1990. The prevalence and incidence rates increased from 18823.5 (95% uncertainty interval (UI) 16324.4–21208.4) to 20165.6 (17703.8–22549.4) and 1429.0 (1224.2–1613.0) to 1502.7 (1309.0–1677.9) per 100,000 population (EAPC 0.31, 95% CI 0.28–0.33; 0.17, 95% CI 0.16–0.19). The global numbers of COPD-associated deaths and DALYs in 2021 reached 2.9 and 45.4 million, increasing by 70.7% and 70.0% from 2019, while the corresponding rates declined (both EAPC Conclusion
COPD in older adults has progressively become a global health challenge with rising prevalence and incidence rates. Although the death and DALY rates attributed to COPD have globally decreased in older adults, the absolute counts are rapidly increasing. The inequalities across different regions and countries underscore a multi-faceted approach to COPD management in older adults.
by Sayamon Hongjaisee, Woottichai Khamduang, Nang Kham-Kjing, Nicole Ngo-Giang-Huong, Arunrat Tangmunkongvorakul
During the COVID-19 pandemic, sex workers (SW) were one of the vulnerable groups affected by lockdown measures. COVID-19 had also disrupted HIV/Sexually transmitted infection (STI) testing and treatment services for sex workers due to numerous restrictions in specialist medical care. This study aims to assess the seroprevalence of HIV, syphilis, HBV, and HCV and associated factors among SW as COVID-19 restrictions were lifted. The SW aged over 18 years residing in Chiangmai, Thailand, were recruited between March and December 2022. An interview-based questionnaire was administered. Blood was collected for HIV, syphilis, HBV, and HCV serological testing. Logistic regression models were used to examine factors associated with these serological markers. Of 264 SW recruited, 52.3% were male. The median age was 31 years. Male sex workers (MSW) had higher seroprevalence of HIV (13% vs. 4.8%), syphilis (23.9% vs. 6.4%) and HCV (6.5% vs. 2.4%). Female sex workers (FSW) had higher seroprevalence of HBsAg (9.5% vs. 4.4%). A high proportion were unaware of their HIV/STI infection. MSW reporting receptive anal sex were more likely to be HIV and Treponema Ab positive. MSW reporting drug injection history were more likely to be HCV Ab positive. FSW reporting younger age at first sex were more likely to be HIV Ab positive. In conclusion, SW remains particularly affected by HIV/STIs. Despite the lockdown, HIV/STIs continued to spread, highlighting the need to provide access to HIV/STIs testing, prevention, and treatment services for this population, particularly young men.by Charvi Rastogi, Xiangchen Song, Zhijing Jin, Ivan Stelmakh, Hal Daumé III, Kun Zhang, Nihar B. Shah
Many peer-review processes involve reviewers submitting their independent reviews, followed by a discussion between the reviewers of each paper. A common question among policymakers is whether the reviewers of a paper should be anonymous to each other during the discussion. We shed light on this question by conducting a randomized controlled trial at the Conference on Uncertainty in Artificial Intelligence (UAI) 2022 conference where reviewer discussions were conducted over a typed forum. We randomly split the reviewers and papers into two conditions–one with anonymous discussions and the other with non-anonymous discussions. We also conduct an anonymous survey of all reviewers to understand their experience and opinions. We compare the two conditions in terms of the amount of discussion, influence of seniority on the final decisions, politeness, reviewers’ self-reported experiences and preferences. Overall, this experiment finds small, significant differences favoring the anonymous discussion setup based on the evaluation criteria considered in this work.by Wan-Jing Zhen, Yan Zhang, Wei-Dong Fu, Xiao-Lei Fu, Xin Yan
BackgroundThe current study aims to elucidate the key molecular mechanisms linked to endoplasmic reticulum stress (ERS) in the pathogenesis of sepsis-induced cardiomyopathy (SIC) and offer innovative therapeutic targets for SIC.
MethodsThe study downloaded dataset GSE79962 from the Gene Expression Omnibus database and acquired the ERS-related gene set from GeneCards. It utilized weighted gene co-expression network analysis (WGCNA) and conducted differential expression analysis to identify key modules and genes associated with SIC. The SIC hub genes were determined by the intersection of WGCNA-based hubs, DEGs, and ERS-related genes, followed by protein-protein interaction (PPI) network construction. Enrichment analyses, encompassing GO, KEGG, GSEA, and GSVA, were performed to elucidate potential biological pathways. The CIBERSORT algorithm was employed to analyze immune infiltration patterns. Diagnostic and prognostic models were developed to assess the clinical significance of hub genes in SIC. Additionally, in vivo experiments were conducted to validate the expression of hub genes.
ResultsDifferential analysis revealed 1031 differentially expressed genes (DEGs), while WGCNA identified a hub module with 1327 key genes. Subsequently, 13 hub genes were pinpointed by intersecting with ERS-related genes. NOX4, PDHB, SCP2, ACTC1, DLAT, EDN1, and NSDHL emerged as hub ERS-related genes through the protein-protein interaction network, with their diagnostic values confirmed via ROC curves. Diagnostic models incorporating five genes (NOX4, PDHB, ACTC1, DLAT, NSDHL) were validated using the LASSO algorithm, highlighting only the prognostic significance of serum PDHB levels in predicting the survival of septic patients. Additionally, decreased PDHB mRNA and protein expression levels were observed in the cardiac tissue of septic mice compared to control mice.
ConclusionsThis study elucidated the interplay between metabolism and the immune microenvironment in SIC, providing fresh perspectives on the investigation of potential SIC pathogenesis. PDHB emerged as a significant biomarker of SIC, with implications on its progression through the regulation of ERS and metabolism.
by James A. Votava, Jing Fan, Brian W. Parks
The lactating mammary gland strongly induces de novo lipogenesis (DNL) to support the synthesis of fatty acids, triglycerides, and cholesterol found within milk. In monogastric species, glucose is a major substrate utilized for DNL within the lactating mammary gland and must be efficiently taken up and processed to supply cytosolic acetyl-CoA for DNL. Along with the enzymes of the DNL pathway, the glycolytic enzyme, Aldolase C (Aldoc), is transcriptionally upregulated and is highly expressed during lactation in the mammary gland, suggesting a role for Aldoc in lactation. Aldoc is also a transcriptional target of the sterol regulatory element binding proteins 1 and 2 (Srebp1 and Srebp2), which transcriptionally regulate enzymes within the DNL pathway and has recently been shown to regulate plasma cholesterol and triglycerides. Here, we investigate the role of Aldoc in lactation, by utilizing a whole-body Aldoc knockout mouse. Our results demonstrate that Aldoc has a significant impact on lactation, whereby pups nursing from Aldoc-/- dams have reduced body weight. Biochemical analysis of milk identified that milk from Aldoc-/- dams have significantly higher galactose, lower lactose, and cholesterol content. Mass spectrometry analysis of milk lipids from Aldoc-/- dams revealed significantly lower quantities of medium and long chain fatty acid containing triglycerides, which has direct implications on lactation as these are the predominant triglycerides synthesized from glucose in human mammary gland. Overall, our results provide functional evidence for the contribution of Aldoc in mammary gland lactose and lipid synthesis during lactation.by Junguo Hua, Jing Ding, Yufan Chen, Lulu Kang, Haiying Zhang, Junhua Zhang
In recent years, the domestic live pig price has risen and fallen rapidly and fluctuated frequently, which has greatly impacted the live pig industry. The level of price volatility in the pig market has served as a significant indication of the progress of the agricultural sector. Identifying the dominant factors affecting the fluctuation of pig prices has become more important. Based on the monthly data of the pig industry from February 2009 to December 2022, this paper constructs an index system of influencing factors of pig price from four aspects: uncertain impact, supply factors, demand factors, and macro-environment factors. By using the transfer model of the Markov regime (MS-VAR), we obtained the probability plot of zone transition for pig price volatility, the impulse response effect diagram of factors affecting pig price, and the cumulated impulse response effect diagram of factors affecting pig price, and analyze the reasons for the ups and downs of pig price according to the above results. The findings indicate prominent features of zone transition in the price fluctuation of China’s pig market. From 2017 to 2022, the domestic pig price frequently switches between rising and falling zones, and the "falling pig price stage" and "rising pig price stage" in the non-stationary state last for a relatively short and discontinuous period. There is little probability that the price of live pigs will directly change from rising to falling, and there will be a smooth buffer stage in the price rise and fall process. Among the factors that affect the fluctuation of live pig prices, the dominant factor of frequent and large fluctuation of pig prices is the pig epidemic situation in external factors. Among the internal influencing factors, the changes in farming costs have the greatest significant influence on the fluctuation of pig prices. These results provide a decision-making reference for legislators to carry out epidemic risk prevention and control better, stabilize the market pig price, and provide empirical evidence for market participants to accurately avoid price risks through multiple channels and ways and ensure stable profitability.by Zheng Jing, Jiawang Feng, Hongyan Jin
Objective of this study is to investigate the epidemiological characteristics, clinical features, and treatment outcomes of canine mammary tumors in Dalian, providing insights into prevention and management strategies. A retrospective analysis was conducted on 198 cases of canine mammary tumors diagnosed in outpatient departments across several veterinary hospitals in Dalian. Data on breed, age, sex, tumor location, and clinical staging were collected and correlated with treatment modalities and prognosis. Poodles, Chinese pastoral dogs, and Cocker Spaniels exhibited higher incidence rates. The majority of affected dogs were middle-aged and older females, with unneutered dogs and those with a history of false pregnancies being at the highest risk. Benign tumors were more common in younger dogs, while malignant tumors predominated in older dogs, accounting for 89.9% of the cases. Early surgical intervention significantly improved survival and quality of life. Early detection, prompt surgical treatment, and post-operative follow-up are essential for optimal outcomes in canine mammary tumor management. This study summarizes the impact of early sterilization on tumor development and suggests that preventive measures, such as total ovarian extraction prior to the first estrus, are effective in reducing the incidence of mammary tumors.
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