Metabolic reprogramming and immunologic suppression are two critical characteristics promoting the progression of head and neck squamous cell carcinoma(HNSCC).The integrative analysis of all the metabolismrelated gene...Metabolic reprogramming and immunologic suppression are two critical characteristics promoting the progression of head and neck squamous cell carcinoma(HNSCC).The integrative analysis of all the metabolismrelated genes(MRGs)in HNSCC is lacking and the interaction between the metabolism and the immune characteristics also requires more exploration to uncover the potential mechanisms.Therefore,this study was designed to establish a prognostic signature based on all the MRGs in HNSCC.Genes of HNSCC samples were available from the TCGA and GEO databases while the MRGs were retrieved from a previous study.Ultimately 4 prognostic MRGs were selected to construct a model possessing robust prognostic value and accuracy in TCGA cohorts.The favorable reproducibility of this model was confirmed in validation cohorts from GEO databases.The risk score calculated by this model was an independent prognostic factor that further classified these HNSCC patients into high-/low-risk groups.GSEA analyses and somatic mutations indicated the low-risk group could activate several anti-tumor pathways and possessed lower TP53 mutation.The results of ESTIMATE,single-sample GSEA,CIBERSORT,and some immune-related molecules analyses suggested the low-risk group exhibited lower metabolic activities and higher immune characteristics.The Spearman correlation test implied most metabolic pathways with tumor-promoting function were negatively correlated with the immune activity,indicating a plausible approach of combining the anti-metabolism and the immunotherapy drugs in the high-risk group to enhance therapeutic effects than applied separately.In conclusion,this prognostic signature linking MRGs with the immune landscape could promote the individualized treatment for HNSCC patients.展开更多
Objective:Diffuse large B-cell lymphoma(DLBCL)is an aggressive type of non-Hodgkin lymphoma.Due to its genetic heterogeneity and abnormal metabolism,many DLBCL patients have a poor prognosis.This study investigated th...Objective:Diffuse large B-cell lymphoma(DLBCL)is an aggressive type of non-Hodgkin lymphoma.Due to its genetic heterogeneity and abnormal metabolism,many DLBCL patients have a poor prognosis.This study investigated the key metabolism-related genes and potential mechanisms.Methods:Differentially expressed genes,differentially expressed transcription factors(TFs),and differentially expressed metabolism-related genes(DEMRGs)of glucose and lipid metabolic processes were identified using the edgeR package.Key DEMRGs were screened by Lasso regression,and a prediction model was constructed.The cell type identification by estimating relative subsets of RNA transcripts algorithm was utilized to assess the fraction of immune cells,and Gene Set Enrichment Analysis was used to determine immune-related pathways.A regulatory network was constructed with significant co-expression interactions among TFs,DEMRGs,immune cells/pathways,and hallmark pathways.Results:A total of 1551 DEMRGs were identified.A prognostic model with a high applicability(area under the curve=0.921)was constructed with 13 DEMRGs.Tumorigenesis of DLBCL was highly related to the neutrophil count.Four DEMRGs(PRXL2AB,CCN1,DECR2 and PHOSPHO1)with 32 TF-DEMRG,36 DEMRG-pathway,14 DEMRG-immune-cell,9 DEMRG-immune-gene-set,and 67 DEMRG-protein-chip interactions were used to construct the regulatory network.Conclusion:We provided a prognostic prediction model based on 13 DEMRGs for DLBCL.We found that phosphatase,orphan 1(PHOSPHO1)is positively regulated by regulatory factor X5(RFX5)and mediates MYC proto-oncogene(MYC)targeting the V2 pathway and neutrophils.展开更多
Background and Aims:Targeted therapy and immunotherapy have emerged as treatment options for hepatocellular carcinoma(HCC)in recent years.The significance of serine and glycine metabolism in various cancers is widely ...Background and Aims:Targeted therapy and immunotherapy have emerged as treatment options for hepatocellular carcinoma(HCC)in recent years.The significance of serine and glycine metabolism in various cancers is widely acknowledged.This study aims to investigate their correlation with the prognosis and tumor immune microenvironment(TIME)of HCC.Methods:Based on the public database,different subtypes were identified by cluster analysis,and the prognostic model was constructed through regression analysis.The gene expression omnibus(GEO)data set was used as the validation set to verify the performance of the model.The survival curve evaluated prognostic ability.CIBERSORT was used to evaluate the level of immune cell infiltration,and maftools analyzed the mutations.DsigDB screened small molecule compounds related to prognostic genes.Results:HCC was found to have two distinct subtypes.Subsequently,we constructed a risk score prognostic model through regression analysis based on serine and glycine metabolismrelated genes(SGMGs).A nomogram was constructed based on risk scores and other clinical factors.HCC patients with a higher risk score showed a poor prognosis,and there were significant differences in immune cell infiltration between the high-and low-risk groups.In addition,three potential drugs associated with prognostic genes,streptozocin,norfloxacin,and hydrocotarnine,were identified.Conclusions:This study investigated the expression patterns of SGMGs and their relationship with tumor characteristics,resulting in the development of a novel model for predicting the prognosis of HCC patients.The study provides a reference for clinical prognosis prediction and treatment of HCC patients.展开更多
Arabis stelleri var. japonica evidenced stronger osmotic stress tolerance than Arabidopsis thaliana. Using an A. thaliana microarray chip, we determined changes in the expression of approximately 2 800 genes between A...Arabis stelleri var. japonica evidenced stronger osmotic stress tolerance than Arabidopsis thaliana. Using an A. thaliana microarray chip, we determined changes in the expression of approximately 2 800 genes between A. stelleri plants treated with 0.2 M mannitol versus mock-treated plants. The most significant changes in the gene expression patterns were in genes defining cellular components or in genes associated with the endomembrane system, stimulus response, stress response, chemical stimulus response, and defense response. The expression patterns of three de novo proline biosynthesis enzymes were evaluated in A. stelleri var. japonica seedlings treated with 0.2 M mannitol, 0.2 M sorbitol, and 0.2 M NaCI. The expression of At-pyrroline-5-carboxylate synthetase was not affected by NaCI stress but was similarly induced by mannitol and sorbitol. The proline dehydrogenase gene, which is known to be repressed by dehydration stress and induced by free L-proline, was induced at an early stage by mannitol treatment, but the level of proline dehydrogenase was increased later by treatment with both mannitol and NaCI. The level of free L-proline accumulation increased progressively in response to treatments with mannitol, sorbitol, and NaCI. Mannitol induced L-proline accumulation more rapidly than NaCI or sorbitol. These findings demonstrate that the osmotic tolerance of the novel halophyte, Arabis stelleri, is associated with the accumulation of L-proline.展开更多
Background Dietary fat is important for energy provision and immune function of lactating sows and their progeny.However,knowledge on the impact of fat on mammary transcription of lipogenic genes,de novo fat synthesis...Background Dietary fat is important for energy provision and immune function of lactating sows and their progeny.However,knowledge on the impact of fat on mammary transcription of lipogenic genes,de novo fat synthesis,and milk fatty acid(FA)output is sparse in sows.This study aimed to evaluate impacts of dietary fat levels and FA composition on these traits in sows.Forty second-parity sows(Danish Landrace×Yorkshire)were assigned to 1 of 5 dietary treatments from d 108 of gestation until weaning(d 28 of lactation):low-fat control diet(3%added animal fat);or 1 of 4 high-fat diets with 8%added fat:coconut oil(CO),fish oil(FO),sunflower oil(SO),or 4%octanoic acid plus 4%FO(OFO).Three approaches were taken to estimate de novo milk fat synthesis from glucose and body fat.Results Daily intake of FA was lowest in low-fat sows within fat levels(P<0.01)and in OFO and FO sows within highfat diets(P<0.01).Daily milk outputs of fat,FA,energy,and FA-derived carbon reflected to a large extent the intake of those.On average,estimates for de novo fat synthesis were 82 or 194 g/d from glucose according to method 1 or 2 and 255 g de novo+mobilized FA/d according to method 3.The low-fat diet increased mammary FAS expression(P<0.05)and de novo fat synthesis(method 1;P=0.13)within fat levels.The OFO diet increased de novo fat synthesis(method 1;P<0.05)and numerically upregulated mammary FAS expression compared to the other high-fat diets.Across diets,a daily intake of 440 g digestible FA minimized milk fat originating from glucose and mobilized body fat.Conclusions Sows fed diets with low-fat or octanoic acid,through upregulating FAS expression,increased mammary de novo fat synthesis whereas the milk FA output remained low in sows fed the low-fat diet or high-fat OFO or FO diets,indicating that dietary FA intake,dietary fat level,and body fat mobilization in concert determine de novo fat synthesis,amount and profiles of FA in milk.展开更多
基金supported by the National Natural Science Foundation of China(No.81630025)The collection,analysis and interpretation of the data were supported by the National Natural Science Foundation of China(No.82001044)+1 种基金The composition of the manuscript was supported by the China Postdoctoral Science Foundation(2020M673019)the Guangdong Basic and Applied Basic Research Foundation(2019A1515110071).
文摘Metabolic reprogramming and immunologic suppression are two critical characteristics promoting the progression of head and neck squamous cell carcinoma(HNSCC).The integrative analysis of all the metabolismrelated genes(MRGs)in HNSCC is lacking and the interaction between the metabolism and the immune characteristics also requires more exploration to uncover the potential mechanisms.Therefore,this study was designed to establish a prognostic signature based on all the MRGs in HNSCC.Genes of HNSCC samples were available from the TCGA and GEO databases while the MRGs were retrieved from a previous study.Ultimately 4 prognostic MRGs were selected to construct a model possessing robust prognostic value and accuracy in TCGA cohorts.The favorable reproducibility of this model was confirmed in validation cohorts from GEO databases.The risk score calculated by this model was an independent prognostic factor that further classified these HNSCC patients into high-/low-risk groups.GSEA analyses and somatic mutations indicated the low-risk group could activate several anti-tumor pathways and possessed lower TP53 mutation.The results of ESTIMATE,single-sample GSEA,CIBERSORT,and some immune-related molecules analyses suggested the low-risk group exhibited lower metabolic activities and higher immune characteristics.The Spearman correlation test implied most metabolic pathways with tumor-promoting function were negatively correlated with the immune activity,indicating a plausible approach of combining the anti-metabolism and the immunotherapy drugs in the high-risk group to enhance therapeutic effects than applied separately.In conclusion,this prognostic signature linking MRGs with the immune landscape could promote the individualized treatment for HNSCC patients.
基金supported in part by the National Natural ScienceFoundation of China(No.81702849).
文摘Objective:Diffuse large B-cell lymphoma(DLBCL)is an aggressive type of non-Hodgkin lymphoma.Due to its genetic heterogeneity and abnormal metabolism,many DLBCL patients have a poor prognosis.This study investigated the key metabolism-related genes and potential mechanisms.Methods:Differentially expressed genes,differentially expressed transcription factors(TFs),and differentially expressed metabolism-related genes(DEMRGs)of glucose and lipid metabolic processes were identified using the edgeR package.Key DEMRGs were screened by Lasso regression,and a prediction model was constructed.The cell type identification by estimating relative subsets of RNA transcripts algorithm was utilized to assess the fraction of immune cells,and Gene Set Enrichment Analysis was used to determine immune-related pathways.A regulatory network was constructed with significant co-expression interactions among TFs,DEMRGs,immune cells/pathways,and hallmark pathways.Results:A total of 1551 DEMRGs were identified.A prognostic model with a high applicability(area under the curve=0.921)was constructed with 13 DEMRGs.Tumorigenesis of DLBCL was highly related to the neutrophil count.Four DEMRGs(PRXL2AB,CCN1,DECR2 and PHOSPHO1)with 32 TF-DEMRG,36 DEMRG-pathway,14 DEMRG-immune-cell,9 DEMRG-immune-gene-set,and 67 DEMRG-protein-chip interactions were used to construct the regulatory network.Conclusion:We provided a prognostic prediction model based on 13 DEMRGs for DLBCL.We found that phosphatase,orphan 1(PHOSPHO1)is positively regulated by regulatory factor X5(RFX5)and mediates MYC proto-oncogene(MYC)targeting the V2 pathway and neutrophils.
基金supported by Postgraduate Science Foundation Project of Zhejiang Chinese Medical University(No.Y202248712).
文摘Background and Aims:Targeted therapy and immunotherapy have emerged as treatment options for hepatocellular carcinoma(HCC)in recent years.The significance of serine and glycine metabolism in various cancers is widely acknowledged.This study aims to investigate their correlation with the prognosis and tumor immune microenvironment(TIME)of HCC.Methods:Based on the public database,different subtypes were identified by cluster analysis,and the prognostic model was constructed through regression analysis.The gene expression omnibus(GEO)data set was used as the validation set to verify the performance of the model.The survival curve evaluated prognostic ability.CIBERSORT was used to evaluate the level of immune cell infiltration,and maftools analyzed the mutations.DsigDB screened small molecule compounds related to prognostic genes.Results:HCC was found to have two distinct subtypes.Subsequently,we constructed a risk score prognostic model through regression analysis based on serine and glycine metabolismrelated genes(SGMGs).A nomogram was constructed based on risk scores and other clinical factors.HCC patients with a higher risk score showed a poor prognosis,and there were significant differences in immune cell infiltration between the high-and low-risk groups.In addition,three potential drugs associated with prognostic genes,streptozocin,norfloxacin,and hydrocotarnine,were identified.Conclusions:This study investigated the expression patterns of SGMGs and their relationship with tumor characteristics,resulting in the development of a novel model for predicting the prognosis of HCC patients.The study provides a reference for clinical prognosis prediction and treatment of HCC patients.
基金supported by a grant from the Cooperative Research Projects for Bioenergy Crop Development RDA (RIMS20070201036026)
文摘Arabis stelleri var. japonica evidenced stronger osmotic stress tolerance than Arabidopsis thaliana. Using an A. thaliana microarray chip, we determined changes in the expression of approximately 2 800 genes between A. stelleri plants treated with 0.2 M mannitol versus mock-treated plants. The most significant changes in the gene expression patterns were in genes defining cellular components or in genes associated with the endomembrane system, stimulus response, stress response, chemical stimulus response, and defense response. The expression patterns of three de novo proline biosynthesis enzymes were evaluated in A. stelleri var. japonica seedlings treated with 0.2 M mannitol, 0.2 M sorbitol, and 0.2 M NaCI. The expression of At-pyrroline-5-carboxylate synthetase was not affected by NaCI stress but was similarly induced by mannitol and sorbitol. The proline dehydrogenase gene, which is known to be repressed by dehydration stress and induced by free L-proline, was induced at an early stage by mannitol treatment, but the level of proline dehydrogenase was increased later by treatment with both mannitol and NaCI. The level of free L-proline accumulation increased progressively in response to treatments with mannitol, sorbitol, and NaCI. Mannitol induced L-proline accumulation more rapidly than NaCI or sorbitol. These findings demonstrate that the osmotic tolerance of the novel halophyte, Arabis stelleri, is associated with the accumulation of L-proline.
基金Financially supported by the Danish Council for Independent Research,Technology and Production Sciences (Copenhagen K,Denmark)。
文摘Background Dietary fat is important for energy provision and immune function of lactating sows and their progeny.However,knowledge on the impact of fat on mammary transcription of lipogenic genes,de novo fat synthesis,and milk fatty acid(FA)output is sparse in sows.This study aimed to evaluate impacts of dietary fat levels and FA composition on these traits in sows.Forty second-parity sows(Danish Landrace×Yorkshire)were assigned to 1 of 5 dietary treatments from d 108 of gestation until weaning(d 28 of lactation):low-fat control diet(3%added animal fat);or 1 of 4 high-fat diets with 8%added fat:coconut oil(CO),fish oil(FO),sunflower oil(SO),or 4%octanoic acid plus 4%FO(OFO).Three approaches were taken to estimate de novo milk fat synthesis from glucose and body fat.Results Daily intake of FA was lowest in low-fat sows within fat levels(P<0.01)and in OFO and FO sows within highfat diets(P<0.01).Daily milk outputs of fat,FA,energy,and FA-derived carbon reflected to a large extent the intake of those.On average,estimates for de novo fat synthesis were 82 or 194 g/d from glucose according to method 1 or 2 and 255 g de novo+mobilized FA/d according to method 3.The low-fat diet increased mammary FAS expression(P<0.05)and de novo fat synthesis(method 1;P=0.13)within fat levels.The OFO diet increased de novo fat synthesis(method 1;P<0.05)and numerically upregulated mammary FAS expression compared to the other high-fat diets.Across diets,a daily intake of 440 g digestible FA minimized milk fat originating from glucose and mobilized body fat.Conclusions Sows fed diets with low-fat or octanoic acid,through upregulating FAS expression,increased mammary de novo fat synthesis whereas the milk FA output remained low in sows fed the low-fat diet or high-fat OFO or FO diets,indicating that dietary FA intake,dietary fat level,and body fat mobilization in concert determine de novo fat synthesis,amount and profiles of FA in milk.
