Predicted Spatial Patterns of Suitable Habitats for Under Different Climate Scenarios.

is the largest butterfly in China and is highly valued for its ornamental beauty. Due to being classified as a national second-class protected species in China, studying its spatial distribution is crucial for developing effective conservation measures. In this study, a total of 490 distribution points were obtained, and the potential distribution areas of the golden-sheathed were analyzed by using the maximum entropy model (MaxEnt) based on three different greenhouse gas emission scenarios, namely, SSP1-2.

Identification of inflammation related gene signatures for bladder cancer prognosis prediction.

Early diagnosis and treatment of bladder cancer are crucial, and since inflammation plays a role in all stages of bladder cancer, this study aims to develop a model based on inflammation-related genes to accurately predict patient prognosis. The data were initially processed through differential analysis and prognostic correlation analysis, then a Least absolute shrinkage and selection operator (LASSO) regression model was constructed by M-cohort and a nomogram was designed to increase the model readability. The T-cohort was used for internal validation, with the GSE32894 and Imvigor210 cohorts used as external data to verify the model's accuracy.

Ralationship between polymorphisms and diplotypes of HLA-G 3'UTR and fetuses with abnormal chromosomes or unexplained pregnancy loss (UPL).

Objectives: Human leukocyte antigen G (HLA-G) plays a crucial role in pregnancy. Pregnancy loss (PL) is caused by a variety of causes, such as fetal chromosomal abnormalities, maternal hypertension and diabetes, immune causes, spontaneous immune diseases, infections, unknown causes, etc. This study reports on the association of fetal HLA-G 3'UTR polymorphisms and diplotypes with chromosomally abnormal fetuses (CAF) or unexplained pregnancy loss (UPL).

Prediction and Analysis of the Global Suitable Habitat of the (Linnaeus, 1758) (Coleoptera: Scarabaeidae) Based on the MaxEnt Model.

The Asiatic rhinoceros beetle, (Linnaeus, 1758) (Coleoptera: Scarabaeidae), is a destructive invasive species that poses a serious threat to palms, oil palms, and other plants. Defining a suitable area for the distribution of is essential for the development of appropriate policies and preventive measures. In this work, the MaxEnt niche model and ArcGIS software were used to predict the potential geographic distribution of in the world based on occurrence data and related environmental variables and to speculate on the influence of environmental variables on the distribution of .

Mapping Species Distributions of Walker under Climate Change Using Current Geographical Presence Data and MAXENT (CMIP 6).

Walker is an important phytophagous pest that has rapidly spread across North China in recent years, posing a severe threat to related plants. To study the impact of climatic conditions on its distribution and to predict its distribution under current and future climate conditions, the MaxEnt niche model and ArcGIS 10.8 software were used.

Establishment of characteristic fingerprint of volatile components in Batocera horsfieldi (Coleoptera: Cerambycidae) host plants and correlation analysis with climatic factors.

Batocera horsfieldi is the primary stemboring pest of timber forests and economic forests in China, belonging to the Coleoptera Cerambycidae. In this study, gas chromatography-mass spectrometry was used to analyze the volatile components in the supplementary feeding hosts and oviposition hosts of B. horsfieldi, and characteristic fingerprints were constructed.

Potentially suitable geographical area for under current and future climatic scenarios based on optimized MaxEnt model.

Global climate warming has led to changes in the suitable habitats for fungi. , a common fungus causing anthracnose disease, is widely distributed in southern China. Currently, research on the relationship between and environmental warming was limited.

Predicting the geographical potential distribution of species Walker in China under different climate scenarios based on the MaxEnt model.

As global warming increases with the frequency of extreme weather, the distribution of species is inevitably affected. Among them, highly damaging invasive species are of particular concern. Being able to effectively predict the geographic distribution of invasive species and future distribution trends is a key entry point for their control.

Global Distribution Prediction of Guer (Coleoptera: Curculionidae) Insights from the Optimised MaxEnt Model.

Guer is a major pest affecting bamboo forests economically, causing significant damage to bamboo forests in Sichuan Province, China. To understand how responds to future climate conditions, an optimized Maximum Entropy Model (Maxent) was used to simulate the potential global distribution patterns of under current climate conditions and three different future climate scenarios and to analyze the dominant factors influencing its distribution. The results indicate that Bio18 (precipitation of the warmest quarter), Bio04 (temperature seasonality), Bio06 (minimum temperature of the coldest month), and Bio02 (mean diurnal temperature range) are the main environmental factors affecting the distribution of this species.

Effects of Global Climate Warming on the Biological Characteristics of (J.E. Smith) (Lepidoptera: Noctuidae).

(J.E. Smith) is a significant economic pest that has recently invaded Africa and Asia.

Meta-Analysis and MaxEnt Model Prediction of the Distribution of Tinsley in China under the Context of Climate Change.

is a pest that poses a significant threat to agricultural crops, especially cotton, and is now widely distributed across many regions worldwide. In this study, we performed a meta-analysis on the collected experimental data and found that within the suitable temperature range, the survival rate of increases with rising temperatures, indicating that climate plays a decisive role in its distribution. Using the MaxEnt model this study predicted that under three future climate scenarios (SSP1-2.

Predicting potential habitat distribution of the invasive species Olivier in China based on MaxEnt modelling technique and future climate change.

Changes in the distribution of species due to global climate change have a critically significant impact on the increase in the spread of invasive species. An in-depth study of the distribution patterns of invasive species and the factors influencing them can help to better predict and combat invasive alien species. Olivier is an invasive species that primarily harms plants of H.

Chemotaxonomic variation of volatile components in Zanthoxylum Bungeanum peel and effects of climate on volatile components.

Background: Zanthoxylum bungeanum Maxim. is widely distributed across China, and the aroma of its peel is primarily determined by its volatile components. In this study, we analyzed the characteristics of volatile components in Z.

Clinical efficacy and gene chip expression analysis of Shenzhu Guanxin recipe granules in patients with intermediate coronary lesions.

Objective: To evaluate the clinical efficacy and safety of Shenzhu Guanxin recipe granules (, SGR) in treating patients with intermediate coronary lesions (ICL), and to investigate the potential mechanism though a transcriptome sequencing approach.

Methods: ICL patients with deficiency and phlegm stasis were adopted and randomly assigned to a case group or a control by random number generator in a 1:1 randomization ratio to evaluate the clinical efficacy.

Results: There was no significant difference between the two groups in coronary computed tomography angiography related indexes in the two groups before and after intervention.

Predicting the current and future suitable distribution range of (Walker, 1855) (Lepidoptera: Bombycidae) in China.

is one of the major pests of spp. Based on 19 bioclimatic variables provided by the Worldclim, our study analysed the suitable distribution areas of under current and future climate changes (SSP1-2.6, SSP2-4.

Immuno-modulatory role of baicalin in atherosclerosis prevention and treatment: current scenario and future directions.

Atherosclerosis (AS) is recognized as a chronic inflammatory condition characterized by the accumulation of lipids and inflammatory cells within the damaged walls of arterial vessels. It is a significant independent risk factor for ischemic cardiovascular disease, ischemic stroke, and peripheral arterial disease. Despite the availability of current treatments such as statins, proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, and lifestyle modifications for prevention, AS remains a leading cause of morbidity and economic burden worldwide.

Chemical Composition Variation in Essential Oil and Their Correlation with Climate Factors in Chinese Prickly Ash Peels ( DC.) from Different Habitats.

Essential oils are secondary metabolites in plants with a variety of biological activities. The flavor and quality of DC. are mainly determined by the essential oil components in the Chinese prickly ash peels.

Integrating transcriptomics and metabolomics to analyze the defense response of to mulberry ring rot disease.

Introduction: The mulberry industry has thrived in China for millennia, offering significant ecological and economic benefits. However, the prevalence of mulberry ring rot disease poses a serious threat to the quality and yield of mulberry leaves.

Methods: In this study, we employed a combination of transcriptomic and metabolomic analyses to elucidate the changes occurring at the transcriptional and metabolic levels in in response to this disease infestation.

Meta-analytic and MaxEnt model prediction, the distribution of the Bactrocera minax (Diptera: Tephritidae), in China under changing climate.

The Tephritidae family causes damage to fruits in tropical and subtropical regions around the world, with Bactrocera minax Enderlein (Diptera: Tephritidae) widely distributed in China, causing severe economic damage to Chinese citrus. Currently, preventing the rapid spread of B. minax remains an effective strategy to control it as the climate continues to warm in the future.

Potential impact of climatic factors on the distribution of in China.

is a significant foliar pest of Laurel plants in China. In this study, the MaxEnt model was used to investigate the distribution of and predict its potential distribution areas in China in the future (2050s and 2090s) based on three Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.

Naringenin protects myocardial ischemia/reperfusion injury by regulating miR-24-3p to inhibit cell death-inducing p53 target 1 expression.

Myocardial ischemia/reperfusion (I/R) causes serious threats to human life. Naringenin, a polyphenolic compound naturally occurring in citrus fruit, has cardioprotective effects against myocardial I/R injury. Besides, miR-24-3p is also reported to have cardioprotective effects.

Treatment of diabetic foot ulcers with external application of Chinese herbal medicine: An overview of overlapping systematic reviews.

This overview of systematic reviews (SRs) and meta-analysis (MAs) aimed to systematically collate, appraise and synthesize evidence for the treatment of diabetic foot ulcers (DFUs) with the external application of Chinese herbal medicine (CHM). SRs/MAs of external application of CHM for DFUs were collected by searching Cochrane Library, Web of science, CNKI, PubMed, VIP, Embase and Wanfang. Two independent reviewers carried out the literature selection and data extraction.

Identification and validation of disulfidptosis-related gene signatures and their subtype in diabetic nephropathy.

Diabetic nephropathy (DN) is the most common complication of diabetes, and its pathogenesis is complex involving a variety of programmed cell death, inflammatory responses, and autophagy mechanisms. Disulfidptosis is a newly discovered mechanism of cell death. There are little studies about the role of disulfidptosis on DN.

Predicting the potential distribution range of Batocera horsfieldi under CMIP6 climate change using the MaxEnt model.

Batocera horsfieldi (Hope) (Coleoptera, Cerambycidae, Batocera) is an important wood-boring pest in China, mainly affecting natural forests, economic forests, urban gardens, and green landscapes. In this study, based on the MaxEnt model and ArcGIS, we combined 216 distribution records of B. horsfieldi with 11 selected key environmental variables to predict its potential suitable distribution under current climate data (1970-2000) and 3 climate emission scenarios from the Sixth Phase of the Coupled Model Intercomparison Project (CMIP6).

Genes associated with inflammation for prognosis prediction for clear cell renal cell carcinoma: a multi-database analysis.

Background: Clear cell renal cell carcinoma (ccRCC) is the largest subtype of kidney tumour, with inflammatory responses characterising all stages of the tumour. Establishing the relationship between the genes related to inflammatory responses and ccRCC may help the diagnosis and treatment of patients with ccRCC.

Methods: First, we obtained the data for this study from a public database.