Esophageal cancer(EC)is an aggressive malignancy with a poor prognosis.Various factors,including dietary habits,and antacid and antibiotic use,have been shown to influence the esophageal microbiome.Conversely,enrichme...Esophageal cancer(EC)is an aggressive malignancy with a poor prognosis.Various factors,including dietary habits,and antacid and antibiotic use,have been shown to influence the esophageal microbiome.Conversely,enrichment and diversity of the esophageal microbiome can also impact its function.Recent studies have revealed prevalent changes in the esophageal microbiome among patients with EC,thus suggesting the potential contribution of the esophageal microbiome to EC development.Additionally,distinct microbiome compositions have been observed in patients with different responses to radiotherapy and chemotherapy,indicating the role of the esophageal microbiome in modulating treatment outcomes.In this review,we have examined previous studies on the esophageal microbiome in healthy individuals and patients with EC or other esophageal diseases,with a focus on identifying microbial communities associated with EC pathogenesis and prognosis.Understanding the role of the microbiome in EC may aid in early detection and optimized treatment strategies,ultimately leading to better outcomes for patients.展开更多
Nicotinamide adenine dinucleotide(NAD+)plays an essential role in cellular metabolism,mitochondrial homeostasis,inflammation,and senescence.However,the role of NAD+-regulated genes,including coding and long non-coding...Nicotinamide adenine dinucleotide(NAD+)plays an essential role in cellular metabolism,mitochondrial homeostasis,inflammation,and senescence.However,the role of NAD+-regulated genes,including coding and long non-coding genes in cancer development is poorly understood.We constructed a prediction model based on the expression level of NAD+metabolism-related genes(NMRGs).Furthermore,we validated the expression of NMRGs in gastric cancer(GC)tissues and cell lines;additionally,β-nicotinamide mononucleotide(NMN),a precursor of NAD+,was used to treat the GC cell lines to analyze its effects on the expression level of NMRGs lncRNAs and cellular proliferation,cell cycle,apoptosis,and senescence-associated secretory phenotype(SASP).A total of 13 NMRGs-related lncRNAs were selected to construct prognostic risk signatures,and patients with high-risk scores had a poor prognosis.Some immune checkpoint genes were upregulated in the high-risk group.In addition,cell cycle,epigenetics,and senescence were significantly downregulated in the high-risk group.Notably,we found that the levels of immune cell infiltration,including CD8 T cells,CD4 naïve T cells,CD4 memory-activated T cells,B memory cells,and naïve B cells,were significantly associated with risk scores.Furthermore,the treatment of NMN showed increased proliferation of AGS and MKN45 cells.In addition,the expression of SASP factors(IL6,IL8,IL10,TGF-β,and TNF-α)was significantly decreased after NMN treatment.We conclude that the lncRNAs associated with NAD+metabolism can potentially be used as biomarkers for predicting clinical outcomes of GC patients.展开更多
[目的/意义]挂果量是果树栽培管理的重要指标。传统人力抽样估测果树挂果量的方法不仅耗时费力,而且容易产生较大误差。本研究提出一种用于边缘计算设备的轻量化模型,实现视频中树上柑橘挂果量的自动估测。[方法]该模型采用CSPDarkNet53...[目的/意义]挂果量是果树栽培管理的重要指标。传统人力抽样估测果树挂果量的方法不仅耗时费力,而且容易产生较大误差。本研究提出一种用于边缘计算设备的轻量化模型,实现视频中树上柑橘挂果量的自动估测。[方法]该模型采用CSPDarkNet53+PAFPN结构作为特征提取网络,实现更快的推理速度和更低的模型复杂度,在果实跟踪过程中引入Byte算法改进FairMOT的数据关联策略,对视频中的柑橘进行预测跟踪,以提升挂果量估测准确性。[结果和讨论]在边缘计算设备NVIDIA Jetson AGX上进行模型性能测试结果表明,本研究所建模型对柑橘挂果量的平均估测精度(Average Estimating Precision,AEP)和处理速度(Frames Per Second,FPS)分别达到91.61%和14.76,模型估测值与人工测得真实值的决定系数R^(2)为0.9858,均方根误差(Root Mean Square Error,RMSE)为4.1713,模型参数量、计算量(Floating Point Operations,FLOPs)和模型大小分别为5.01 M、36.44 G和70.20 MB,展现出较对比模型更优的挂果量估测性能和更低的模型复杂度。[结论]试验结果证明了本研究所建模型在边缘计算设备上对柑橘挂果量估测的有效性,基于算法模型研发的果园挂果量远程监测系统可满足用于果园移动平台行进状态下的果树挂果量估测需求。本研究可为果园生产力自动监测分析提供技术支持。展开更多
基金supported by grants from the Health Commission of Henan Province(Grant No.SBGJ20211008)the Henan Provincial Department of Science and Technology(Grant No.222300420574)。
文摘Esophageal cancer(EC)is an aggressive malignancy with a poor prognosis.Various factors,including dietary habits,and antacid and antibiotic use,have been shown to influence the esophageal microbiome.Conversely,enrichment and diversity of the esophageal microbiome can also impact its function.Recent studies have revealed prevalent changes in the esophageal microbiome among patients with EC,thus suggesting the potential contribution of the esophageal microbiome to EC development.Additionally,distinct microbiome compositions have been observed in patients with different responses to radiotherapy and chemotherapy,indicating the role of the esophageal microbiome in modulating treatment outcomes.In this review,we have examined previous studies on the esophageal microbiome in healthy individuals and patients with EC or other esophageal diseases,with a focus on identifying microbial communities associated with EC pathogenesis and prognosis.Understanding the role of the microbiome in EC may aid in early detection and optimized treatment strategies,ultimately leading to better outcomes for patients.
基金supported by Zhengzhou Major Collaborative Innovation Project(No.18XTZX12003)Key Projects of Discipline Construction in Zhengzhou University(No.XKZDJC202001)+1 种基金National Key Research and Development Program in China(No.2020YFC2006100)Medical Service Capacity Improvement Project of Henan Province in China(Grant Number Yu Wei Medicine[2017]No.66).
文摘Nicotinamide adenine dinucleotide(NAD+)plays an essential role in cellular metabolism,mitochondrial homeostasis,inflammation,and senescence.However,the role of NAD+-regulated genes,including coding and long non-coding genes in cancer development is poorly understood.We constructed a prediction model based on the expression level of NAD+metabolism-related genes(NMRGs).Furthermore,we validated the expression of NMRGs in gastric cancer(GC)tissues and cell lines;additionally,β-nicotinamide mononucleotide(NMN),a precursor of NAD+,was used to treat the GC cell lines to analyze its effects on the expression level of NMRGs lncRNAs and cellular proliferation,cell cycle,apoptosis,and senescence-associated secretory phenotype(SASP).A total of 13 NMRGs-related lncRNAs were selected to construct prognostic risk signatures,and patients with high-risk scores had a poor prognosis.Some immune checkpoint genes were upregulated in the high-risk group.In addition,cell cycle,epigenetics,and senescence were significantly downregulated in the high-risk group.Notably,we found that the levels of immune cell infiltration,including CD8 T cells,CD4 naïve T cells,CD4 memory-activated T cells,B memory cells,and naïve B cells,were significantly associated with risk scores.Furthermore,the treatment of NMN showed increased proliferation of AGS and MKN45 cells.In addition,the expression of SASP factors(IL6,IL8,IL10,TGF-β,and TNF-α)was significantly decreased after NMN treatment.We conclude that the lncRNAs associated with NAD+metabolism can potentially be used as biomarkers for predicting clinical outcomes of GC patients.
文摘[目的/意义]挂果量是果树栽培管理的重要指标。传统人力抽样估测果树挂果量的方法不仅耗时费力,而且容易产生较大误差。本研究提出一种用于边缘计算设备的轻量化模型,实现视频中树上柑橘挂果量的自动估测。[方法]该模型采用CSPDarkNet53+PAFPN结构作为特征提取网络,实现更快的推理速度和更低的模型复杂度,在果实跟踪过程中引入Byte算法改进FairMOT的数据关联策略,对视频中的柑橘进行预测跟踪,以提升挂果量估测准确性。[结果和讨论]在边缘计算设备NVIDIA Jetson AGX上进行模型性能测试结果表明,本研究所建模型对柑橘挂果量的平均估测精度(Average Estimating Precision,AEP)和处理速度(Frames Per Second,FPS)分别达到91.61%和14.76,模型估测值与人工测得真实值的决定系数R^(2)为0.9858,均方根误差(Root Mean Square Error,RMSE)为4.1713,模型参数量、计算量(Floating Point Operations,FLOPs)和模型大小分别为5.01 M、36.44 G和70.20 MB,展现出较对比模型更优的挂果量估测性能和更低的模型复杂度。[结论]试验结果证明了本研究所建模型在边缘计算设备上对柑橘挂果量估测的有效性,基于算法模型研发的果园挂果量远程监测系统可满足用于果园移动平台行进状态下的果树挂果量估测需求。本研究可为果园生产力自动监测分析提供技术支持。
