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Dementia

ABSTRACT: Background/Aims: The discovery of predictive biomarker for Alzheimer’s disease (AD) from urine would be highly beneficial for preventative approach of the disease, but the information about biological and pathophysiological changes observed in the molecular composition of urine of AD patient is limited. This study aimed to explore the comprehensive profile and molecular network relations of urinary proteins in the urine of AD patients. Methods: Urine samples collected from 18 AD patients and 18 age- and sex- matched cognitively normal controls were analyzed by mass spectrometry and semi-quantified by normalized spectral index method. Bioinformatics analyses were performed on the proteins which significantly increased more than two-fold or decreased less than 0.5-fold compared to the control (p< 0.05) using DAVID bioinformatics resources and KeyMolnet software. Results: 109 proteins were significantly increased or decreased in AD urine compared to control. Among those differentially expressed proteins, annotation clusters related to lysosome, complement activation, and gluconeogenesis were significantly enriched. The molecular relation network calculated from those proteins were mainly associated to pathways of lipoprotein metabolism, heat shock protein 90 signaling, matrix metalloproteinase signaling, and redox regulation by thioredoxin. Conclusion: The study suggested that the change of urinary proteome reflect the systemic change related to AD pathophysiology.

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Yumi Watanabe

PROVIDER: PXD015136 | JPOST Repository | Fri Aug 23 00:00:00 BST 2019

REPOSITORIES: jPOST

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Project description:Pseudomonas aeruginosa is one of the most frequent pathogen dominant in complicated urinary tract infections (UTI). To unravel the adaptation strategies of P. aeruginosa to the conditions in the urinary tract and to define the underlying regulatory network an artificial growth system mimicking the conditions in the urinary tract was established. Transcriptome analyses were used to investigate the physiological status of P. aeruginosa under this conditions. We performed comparisons to identify genes induced under artificial urinary tract conditions to unravel the adaptive strategies and the underlying regulatory network used by Pseudomonas aeruginosa during urinary tract infections using Affimetrix GeneChips. Pseudomonas aeruginosa wild type strain PAO1 was grown in an artificial in vitro growth system mimicking the conditions in the urinary tract. Therefore, biofilms were grown on the surface of membrane filters placed on agar plates at 37 Â°C up to the late logarithmic state under aerobic and anaerobic conditions (incubated in an anaerobic beanch). An artificial urine medium (AUM) simulating the averaged urine of an human adult was used as nutrient souce. 10-fold diluted Luria Bertani (LB)-medium was used as reference medium. For growth under oxygen depletion the media were supplemented with 50 mM KNO3 to sustain anaerobic respiration. The biofilms were harveted at this time points and resuspsended in 0.9% (w/v) NaCl. The OD578 of biofilm suspension was 0.8 for all tested conditions. First comparison: Identification of genes induced or repressed under aerobic conditions in the P. aeruginosa wild type PAO1. Here we compared the transcriptome profile of P. aeruginosa PAO1 grown aerobically for 18 h to the late logarithmic phase in biofilms on AUM with the transcriptome profile of the PAO1 strain, which was grown aerobically for 18 h to the late logarithmic phase in biofilms on 10-fold diluted LB. Second comparison: Identification of genes induced or repressed under anaerobic conditions in the P. aeruginosa wild type PAO1. Here we compared the transcriptome profile of P. aeruginosa PAO1 grown anaerobically for 2 days up to the late logarithmic phase in biofilms on AUM supplemented with 50 mM nitrate with the transcriptome profile of the PAO1 strain, which was grown anaerobically for 2 days up to the late logarithmic phase in biofilms on 10-fold diluted LB supplemented with 50 mM nitrate.

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	HV1_01.raw	Raw
	HV1_02.raw	Raw
	HV2_01.raw	Raw
	HV2_02.raw	Raw
	HV3_01.raw	Raw

Dataset Information

Dementia

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