scholarly journals A Comparison Study of Age and Colorectal Cancer-Related Gut Bacteria

2021 ◽  
Vol 11 ◽  
Author(s):  
Yu-Kun Zhang ◽  
Qian Zhang ◽  
Yu-Liuming Wang ◽  
Wei-Yuan Zhang ◽  
Han-Qing Hu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Sugar Metabolism ◽  
Operational Taxonomic Unit ◽  
Amino Sugar ◽  
Young Group ◽  
Gut Bacteria ◽  
Scaling Analysis ◽  
Protective Function ◽  
Kegg Pathways ◽  
Intestinal Bacterial Community

Intestinal microbiota is gaining increasing interest from researchers, and a series of studies proved that gut bacteria plays a significant role in various malignancies, especially in colorectal cancer (CRC). In this study, a cohort of 34 CRC patients (average age=65 years old), 26 young volunteers (below 30 years old), and 26 old volunteers (over 60 years old) was enrolled. 16S ribosomal RNA gene sequencing was used to explore fecal bacteria diversity. The operational taxonomic unit (OTU) clustering analysis and NMDS (non-metric multidimensional scaling) analysis were used to separate different groups. Cluster of ortholog genes (COG) functional annotation and Kyoto encyclopedia of genes and genomes (KEGG) were used to detect enriched pathways among three groups. Community separations were observed among the three groups of this cohort. Clostridia, Actinobacteria, Bifidobacterium, and Fusobacteria were the most enriched bacteria in the young group, old group, and CRC group respectively. Also, in the young, old, and CRC group, the ratio of Firmicutes/Bacteroidetes was increased sequentially despite no statistical differences. Further, COG showed that transcription, cell wall/membrane/envelope biogenesis, inorganic ion transport and metabolism, and signal transduction mechanisms were differentially expressed among three groups. KEGG pathways associated with ABC transporters, amino sugar and nucleotide sugar metabolism, arginine and proline metabolism, and aminoacyl-tRNA biosynthesis also showed statistical differences among the three groups. These results indicated that the intestinal bacterial community varied as age changed and was related to CRC, and we discussed that specific bacteria enriched in the young and old group may exert a protective function, while bacteria enriched in the CRC group may promote tumorigenesis.

scholarly journals ITRAQ-based quantitative proteomic analysis of Fusarium moniliforme (Fusarium verticillioides) in response to Phloridzin inducers

2020 ◽  
Author(s):  
Rong Zhang ◽  
Weitao Jiang ◽  
Xin Liu ◽  
Yanan Duan ◽  
Li Xiang ◽  
...  
Keyword(s):  
Fusarium Moniliforme ◽  
Abiotic Factors ◽  
Fusarium Verticillioides ◽  
Sugar Metabolism ◽  
Amino Sugar ◽  
Apple Replant Disease ◽  
Kegg Pathways ◽  
Itraq Analysis ◽  
Before And After ◽  
Functional Pathway

Abstract Apple replant disease (ARD) has been reported from all major fruit-growing regions of the world, and is often caused by biotic factors (pathogen fungi) and abiotic factors (phenolic compounds). In order to clarify the proteomic differences of Fusarium moniliforme under the action of phloridzin, and to explore the potential mechanism of F. moniliforme as the pathogen of ARD, the role of Fusarium spp in ARD was further clarified. In this paper, the quantitative proteomics method iTRAQ analysis technology was used to analyze the proteomic differences of F. moniliforme before and after phloridzin treatment. A total of 4535 proteins were detected, and 293 proteins were found with more than 1.2 times (P<0.05) differences. In-depth data analysis revealed that differentially expressed proteins were influenced a variety of cellular processes, particularly metabolic processes. Among these metabolic pathways, a total of 8 significantly enriched KEGG pathways were identified with at least 2 affiliated proteins with different abundance in conidia and mycelium. Functional pathway analysis indicated that 46 up-regulated proteins were mainly distributed in amino sugar, nucleotide sugar metabolism, glycolysis/ gluconeogenesis and phagosome pathways. The results deepened our understanding of the proteome in F. moniliforme in response to phloridzin inducers and provide a basis for further exploration for improving the efficiency of the fungi as biocontrol agents to control ARD.

scholarly journals Physiological and Transcriptomic Responses of Antioxidant System and Nitrogen Metabolism in Tomato Roots Treated With Nitrogen Starvation and Re-Supply

2021 ◽  
Author(s):  
Yanyan Dong ◽  
Manqi Wang ◽  
Fanzhang Wu ◽  
Jinping Yan ◽  
Kunzhi Li ◽  
...  
Keyword(s):  
Antioxidant System ◽  
Expression Patterns ◽  
Sugar Metabolism ◽  
Amino Sugar ◽  
Monodehydroascorbate Reductase ◽  
Kegg Pathways ◽  
Supply Condition ◽  
Tomato Roots ◽  
N Metabolism ◽  
N Starvation

Abstract Nitrogen (N) is one of the essential macronutrients that plays important roles in plant growth and development. To better understand the response of antioxidant system and N metabolism under N starvation and re-supply condition, physiological and transcriptomic analysis were performed in tomato roots. The malondialdehyde (MDA) and reactive oxygen species (ROS) contents increased significantly in tomato seedlings after N starvation for 24 h. The activities of superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX) and monodehydroascorbate reductase (MDHAR), the ratio of ASA/DHA and GSH/GSSG, the NO3- contents, nitrate reductase (NR) activity were decreased after N starvation treatment and increased after N re-supply for 24 h. Compared with the control, 1766 genes were up-regulated and 2244 genes were down-regulated after N starvation in tomato. These differentially expressed genes (DEGs) are mainly enriched in functional items such as cellular process, metabolic process and catalytic activity. The KEGG pathways revealed that the DEGs were mainly involved in phenpropane biosynthesis, amino sugar and nucleotide sugar metabolism, and N metabolism. The expression patterns of tomato SlSOD, SlCAT, SlAPX, SlMDHAR, thioredoxin (SlTrxh), peroxiredoxin (SlPrx) and glutaredoxin (SlGrx) genes, and nitrate transporter SlNRT2.4, SlNR, glutamine synthetase (SlGS2), nitrite reductase (SlNiR) decreased after N starvation and increased after N re-supply, which were validated by qRT-PCR. Our results provide a basis for understanding the response of tomato to N deficiency and re-supply and a theoretical reference for cultivation regulation.

Computational Analysis of miRNA and their Gene Targets Significantly Involved in Colorectal Cancer Progression

MicroRNA ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. 68-75 ◽  
Author(s):  
Jeyalakshmi Kandhavelu ◽  
Kumar Subramanian ◽  
Amber Khan ◽  
Aadilah Omar ◽  
Paul Ruff ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Colon Cancer ◽  
Cancer Progression ◽  
Target Prediction ◽  
Computational Prediction ◽  
Initial Step ◽  
Kegg Pathways ◽  
Candidate Mirnas ◽  
Common Cancer ◽  
Colon Cancer Progression

Background:Globally, colorectal cancer (CRC) is the third most common cancer in women and the fourth most common cancer in men. Dysregulation of small non-coding miRNAs have been correlated with colon cancer progression. Since there are increasing reports of candidate miRNAs as potential biomarkers for CRC, this makes it important to explore common miRNA biomarkers for colon cancer. As computational prediction of miRNA targets is a critical initial step in identifying miRNA: mRNA target interactions for validation, we aim here to construct a potential miRNA network and its gene targets for colon cancer from previously reported candidate miRNAs, inclusive of 10 up- and 9 down-regulated miRNAs from tissues; and 10 circulatory miRNAs. </P><P> Methods: The gene targets were predicted using DIANA-microT-CDS and TarBaseV7.0 databases. Each miRNA and its targets were analyzed further for colon cancer hotspot genes, whereupon DAVID analysis and mirPath were used for KEGG pathway analysis.Results:We have predicted 874 and 157 gene targets for tissue and serum specific miRNA candidates, respectively. The enrichment of miRNA revealed that particularly hsa-miR-424-5p, hsa-miR-96-5p, hsa-miR-1290, hsa-miR-224, hsa-miR-133a and has-miR-363-3p present possible targets for colon cancer hallmark genes, including BRAF, KRAS, EGFR, APC, amongst others. DAVID analysis of miRNA and associated gene targets revealed the KEGG pathways most related to cancer and colon cancer. Similar results were observed in mirPath analysis. A new insight gained in the colon cancer network pathway was the association of hsa-mir-133a and hsa-mir-96-5p with the PI3K-AKT signaling pathway. In the present study, target prediction shows that while hsa-mir-424-5p has an association with mostly 10 colon cancer hallmark genes, only their associations with MAP2 and CCND1 have been experimentally validated.These miRNAs and their targets require further evaluation for a better understanding of their associations, ultimately with the potential to develop novel therapeutic targets.

scholarly journals High expression of DNA damage-inducible transcript 4 (DDIT4) is associated with advanced pathological features in the patients with colorectal cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fahimeh Fattahi ◽  
Leili Saeednejad Zanjani ◽  
Zohreh Habibi Shams ◽  
Jafar Kiani ◽  
Mitra Mehrazma ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dna Damage ◽  
Prognostic Significance ◽  
Tissue Microarrays ◽  
Survival Outcomes ◽  
Hub Genes ◽  
Kegg Pathways ◽  
Normal Tissues ◽  
Nuclear Expression ◽  
Pathways Analysis

AbstractDNA damage-inducible transcript 4 (DDIT4) is induced in various cellular stress conditions. This study was conducted to investigate expression and prognostic significance of DDIT4 protein as a biomarker in the patients with colorectal cancer (CRC). PPI network and KEGG pathway analysis were applied to identify hub genes among obtained differentially expressed genes in CRC tissues from three GEO Series. In clinical, expression of DDIT4 as one of hub genes in three subcellular locations was evaluated in 198 CRC tissues using immunohistochemistry method on tissue microarrays. The association between DDIT4 expression and clinicopathological features as well as survival outcomes were analyzed. Results of bioinformatics analysis indicated 14 hub genes enriched in significant pathways according to KEGG pathways analysis among which DDIT4 was selected to evaluate CRC tissues. Overexpression of nuclear DDIT4 protein was found in CRC tissues compared to adjacent normal tissues (P = 0.003). Furthermore, higher nuclear expression of DDIT4 was found to be significantly associated with the reduced tumor differentiation and advanced TNM stages (all, P = 0.009). No significant association was observed between survival outcomes and nuclear expression of DDIT4 in CRC cases. Our findings indicated higher nuclear expression of DDIT4 was significantly associated with more aggressive tumor behavior and more advanced stage of disease in the patients with CRC.

scholarly journals Alterations of gut microbiota in gestational diabetes patients during the second trimester of pregnancy in the Shanghai Han population

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yao Su ◽  
Hong-Kun Wang ◽  
Xu-Pei Gan ◽  
Li Chen ◽  
Yan-Nan Cao ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Sugar Metabolism ◽  
16S Rrna Gene Sequencing ◽  
Amino Sugar ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Second Trimester ◽  
Metabolic Hormone

Abstract Background The causes of gestational diabetes mellitus (GDM) are still unclear. Recent studies have found that the imbalance of the gut microbiome could lead to disorders of human metabolism and immune system, resulting in GDM. This study aims to reveal the different gut compositions between GDM and normoglycemic pregnant women and find the relationship between gut microbiota and GDM. Methods Fecal microbiota profiles from women with GDM (n = 21) and normoglycemic women (n = 32) were assessed by 16S rRNA gene sequencing. Fasting metabolic hormone concentrations were measured using multiplex ELISA. Results Metabolic hormone levels, microbiome profiles, and inferred functional characteristics differed between women with GDM and healthy women. Additionally, four phyla and seven genera levels have different correlations with plasma glucose and insulin levels. Corynebacteriales (order), Nocardiaceae (family), Desulfovibrionaceae (family), Rhodococcus (genus), and Bacteroidetes (phylum) may be the taxonomic biomarkers of GDM. Microbial gene functions related to amino sugar and nucleotide sugar metabolism were found to be enriched in patients with GDM. Conclusion Our study indicated that dysbiosis of the gut microbiome exists in patients with GDM in the second trimester of pregnancy, and gut microbiota might be a potential diagnostic biomarker for the diagnosis, prevention, and treatment of GDM.

scholarly journals The keystone species of Precambrian deep bedrock biosphere belong to <i>Burkholderiales</i> and <i>Clostridiales</i>

2015 ◽  
Vol 12 (21) ◽  
pp. 18103-18150 ◽  
Author(s):  
L. Purkamo ◽  
M. Bomberg ◽  
R. Kietäväinen ◽  
H. Salavirta ◽  
M. Nyyssönen ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Carbon Fixation ◽  
Keystone Species ◽  
Carbon Assimilation ◽  
Sugar Metabolism ◽  
Archaeal Community ◽  
Amino Sugar ◽  
Amplicon Sequencing ◽  
Fracture Zones ◽  
Crystalline Bedrock

Abstract. The bacterial and archaeal community composition and the possible carbon assimilation processes and energy sources of microbial communities in oligotrophic, deep, crystalline bedrock fractures is yet to be resolved. In this study, intrinsic microbial communities from six fracture zones from 180–2300 m depths in Outokumpu bedrock were characterized using high-throughput amplicon sequencing and metagenomic prediction. Comamonadaceae-, Anaerobrancaceae- and Pseudomonadaceae-related OTUs form the core community in deep crystalline bedrock fractures in Outokumpu. Archaeal communities were mainly composed of Methanobacteraceae-affiliating OTUs. The predicted bacterial metagenomes showed that pathways involved in fatty acid and amino sugar metabolism were common. In addition, relative abundance of genes coding the enzymes of autotrophic carbon fixation pathways in predicted metagenomes was low. This indicates that heterotrophic carbon assimilation is more important for microbial communities of the fracture zones. Network analysis based on co-occurrence of OTUs revealed the keystone genera of the microbial communities belonging to Burkholderiales and Clostridiales. Bacterial communities in fractures resemble those found from oligotrophic, hydrogen-enriched environments. Serpentinization reactions of ophiolitic rocks in Outokumpu assemblage may provide a source of energy and organic carbon compounds for the microbial communities in the fractures. Sulfate reducers and methanogens form a minority of the total microbial communities, but OTUs forming these minor groups are similar to those found from other deep Precambrian terrestrial bedrock environments.

scholarly journals The Diversity of the Intestinal Flora Disturbed After Feeding Intolerance Recovery in Preterm Twins

2021 ◽  
Vol 9 ◽  
Author(s):  
Ying Li ◽  
Chunhong Jia ◽  
Xiaojun Lin ◽  
Lili Lin ◽  
Lizhen Li ◽  
...  
Keyword(s):  
Acid Metabolism ◽  
Intestinal Flora ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Feeding Intolerance ◽  
Fecal Samples ◽  
Kegg Pathways ◽  
Intestinal Bacterial Community ◽  
Β Diversity ◽  
Significant Difference

Background: Feeding intolerance (FI) is a common condition in premature infants that results in growth retardation and even necrotizing enterocolitis. The gut microbiome is linked to FI occurrence; however, the outcome after FI recovery is unclear.Methods: Fecal samples were collected from 11 pairs of premature twins/triplets for 16S rRNA gene sequencing. Initial fecal samples were collected shortly after admission, and then every other week until 7 weeks or discharge.Results: After FI recovery, there was no significant difference in the β-diversity of the intestinal flora between the FI group and the feeding tolerance (FT) group. By contrast, there was a significant difference in the β-diversity. Proteobacteria was the predominant phylum in the microbiome of the FI group, whereas Firmicutes was the predominant phylum in the microbiome of the FT group. The predominant bacteria with LDA &gt;4 between the two groups at 13–15 days after birth, 19–28 days after birth, and at discharge were different, with the proportions of Bacillus, Clostridium butyricum, and Clostridium being highest in the FT group and Firmicutes, unidentified_Clostridiales, and Proteobacteria being highest in the FI group. Similarly, there were significant differences in the relative abundances of KEGG pathways, such as fatty acid metabolism, DNA repair and recombination proteins, energy metabolism, and amino acid metabolism, between the two groups (P &lt; 0.01).Conclusions: There was a significant difference in diversity of the intestinal flora after feeding intolerance recovery. Feeding intolerance may disturb the succession of the intestinal bacterial community.

scholarly journals STRUCTURE AND FUNCTION OF THE FRUIT MICROBIOME IN HEALTHY AND DISEASED KIWIFRUIT

2019 ◽  
Vol 56 (03) ◽  
pp. 577-585
Author(s):  
Wenneng Wu
Keyword(s):  
Microbial Diversity ◽  
Relative Abundance ◽  
Foodborne Pathogens ◽  
Fungal Pathogens ◽  
Sugar Metabolism ◽  
Amino Sugar ◽  
Disease Diagnosis ◽  
Postharvest Disease ◽  
Pathogen Infection ◽  
Microbiome Composition

The fruit surface is an infection court where foodborne pathogens compete with indigenous microbiota for microsites to invade the fruits for nutrients acquisition. However, our current understanding of the structure and functions of fruit microbiome visa-vis postharvest pathogen infection is still nascent. Here, we sequenced the metagenomic DNA to understand the structural and functional attributes of healthy and diseased kiwifruit microbiome. The healthy fruits exhibited higher microbial diversity and distinct microbiome composition compared with diseased fruits. The microbiome of diseased fruit was dominated by fungal pathogens Neofusicoccum parvum and Diplodiaseriata, while the microbiome of healthy fruits were enriched by bacteria from Methylobacteriaceae, Sphingomonadaceae, Nocardioidaceae and fungi in Pleosporaceae. Importantly, the healthy fruit microbiome had a higher relative abundance of genes related to ABC transporter, two-component system, bacterial chemotaxis, bacterial secretion system, but had a lower relative abundance of genes associated with polycyclic aromatic hydrocarbon degradation, amino sugar and nucleotide sugar metabolism, glycine, serine and threonine metabolism compared with diseased fruits. Our results indicate that pathogen infection disrupts the fruit microbiome. The changes in microbiome composition and functions could also increase the possibility of secondary pathogen infection as the reduced microbial diversity may demonstrate less resistance to pathogens infection. Therefore, monitoring the microbiome dynamics and their functions using metagenomic approaches could be useful to build a predictive understanding of accurate postharvest disease diagnosis and management in the future

scholarly journals Metabolite Profile Changes in Different Regions of Rat Brain Affected by Ephedra sinica

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Zhou Liao ◽  
Shanshan Li ◽  
Yun Huang ◽  
Xiaoquan Luo ◽  
Youbao Zhong ◽  
...  
Keyword(s):  
Sugar Metabolism ◽  
Amino Sugar ◽  
Metabolite Profile ◽  
Brain Regions ◽  
Phospholipid Metabolism ◽  
Partial Least Square ◽  
Least Square ◽  
Medication History ◽  
Ephedra Sinica ◽  
The Brain

Ephedra sinica Stapf (EP) has a long medication history dating back centuries in the world. There were some reports of adverse effects in the central nervous system (CNS) resulting from administration of a drug containing EP or ephedrine. Compared with alkaloid monomer compounds, the effects of EP on the CNS are usually neglected. It is necessary to explore CNS affection which is helpful to use EP rationally. However, the affection and the changes of substances by EP in the brain are still unknown because the effects of drug on the brain also exhibit different tendency and distribution and usually lead to diversity of metabolite alteration in different regions. In this study, metabolomics based on different brain regions was used to investigate the affection mechanism of EP in the CNS. The metabolites in 6 brain regions from a rat that underwent oral administration with EP for 14 days were determined by UPLC/Q-TOF-MS. Brain histological examinations showed that there were no obvious lesions in EP administration groups. Partial least square-discriminant analysis (PLS-DA) displayed that there were significant separations between control and EP administration groups. 7 CNS biomarkers were found and identified in different regions. 3 metabolic pathways were disturbed by EP, including amino acid metabolism, phospholipid metabolism, and amino sugar metabolism. Furthermore, all biomarkers were significantly changed in the cortex after administration. This study may be helpful to understand the affection mechanism of EP in the CNS and improve cognition of brain regional characteristics.

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