ABSTRACT
Gut microbiota of patients with Parkinson's disease and healthy volunteers was analyzed by the method of high throughput 16S rRNA sequencing of bacterial genomes. In patients with Parkinson's diseases, changes in the content of 9 genera and 15 species of microorganisms were revealed: reduced content of Dorea, Bacteroides, Prevotella, Faecalibacterium, Bacteroides massiliensis, Stoquefichus massiliensis, Bacteroides coprocola, Blautia glucerasea, Dorea longicatena, Bacteroides dorei, Bacteroides plebeus, Prevotella copri, Coprococcus eutactus, and Ruminococcus callidus, and increased content of Christensenella, Catabacter, Lactobacillus, Oscillospira, Bifidobacterium, Christensenella minuta, Catabacter hongkongensis, Lactobacillus mucosae, Ruminococcus bromii, and Papillibacter cinnamivorans. This microbiological pattern of gut microflora can trigger local inflammation followed by aggregation of α-synuclein and generation of Lewy bodies.
Subject(s)
Gastrointestinal Microbiome/genetics , Gram-Negative Bacteria/genetics , Gram-Positive Bacteria/genetics , Parkinson Disease/microbiology , Phylogeny , RNA, Ribosomal, 16S/genetics , Aged , Biodiversity , Case-Control Studies , DNA Barcoding, Taxonomic/methods , DNA, Bacterial/genetics , Feces/microbiology , Female , Gram-Negative Bacteria/classification , Gram-Negative Bacteria/isolation & purification , Gram-Positive Bacteria/classification , Gram-Positive Bacteria/isolation & purification , Humans , Male , Middle Aged , Parkinson Disease/physiopathology , Sequence Analysis, DNAABSTRACT
Saturating proteome identification and the study of post-translational protein modifications of Acholeplasma laidlawii using combination of single- and two-dimension gel electrophoresis followed by mass-spectrometry analysis have been carried out. Results were compared to the earlier identified proteome of Mycoplasma gallisepticum. It was found that M. gallisepticum and A. laidlawii express 61 and 58% of the annotated ORFs respectively. All subunits of DNA-polymerase III were identified during our study which indicates that our methods can detect single copies of a given protein per cell. Metabolic pathways of the respective mycoplasmas were compared further in this work.
Subject(s)
Acholeplasma laidlawii/metabolism , Bacterial Proteins/metabolism , Mycoplasma gallisepticum/metabolism , Proteome/metabolism , Bacterial Proteins/genetics , Genes, Bacterial , In Vitro Techniques , Metabolic Networks and Pathways , Protein Processing, Post-TranslationalABSTRACT
Using reverse-phase (MB-HIC 8 and HB-HIC 18) weak cation exchange (MB-WCX) and metal affinity ClinProt magnetoc beads peptides and protein factions were obtained from human sera for their profiling by MALDI-TOF mass spectrometry. Proteome profiling of sera from I-IV stage ovarian cancer patients (47 women, average age 51) and from healthy women (47 subjects, average age 49) using MB-WCX beads allowed calculation of the best diagnostic models based on the Genetic Algorithm and Supervised Neural Network classifiers; these model generated 100% sensitivity and specificity when the test set of subjects was analyzed. Introduction of additional sera from patients with colorectal cancer (19) and ulcerous colitis (5) to the statistical model confirmed 100% ovarian cancer recognition. Statistical mass-spectrometry analysis of mass-spectrometry peak areas included to the diagnostic classifiers showed 3 peaks distinctive for ovarian cancer and 4 peaks distinctive for ovarian and colorectal cancer.
