Distinct Metabolic Features of Pathogenic <i>Escherichia coli</i> and <i>Shigella</i> spp. Determined by Label‐Free Quantitative Proteomics

Pettersen, Veronika Kuchařová; Steinsland, Hans; Wiker, Harald G.

doi:10.1002/pmic.202000072

Cited by 7 publications

(2 citation statements)

References 46 publications

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“…In particular, women with stage III or IV endometriosis had predominantly Shigella and Escherichia in their stool microbiome, which were discrepant from our results. While both of those species could become pathogenic [40,41], the four genera detected (UBA1819, Eisenbergiella, Hungatella, and Erysipelatoclostridium) in our study have no strong clinical correlations yet.…”

Section: Discussioncontrasting

confidence: 58%

Gut Microbiome–Estrobolome Profile in Reproductive-Age Women with Endometriosis

Pai,

Wang,

et al. 2023

IJMS

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Microbiota is associated with our bodily functions and microenvironment. A healthy, balanced gut microbiome not only helps maintain mucosal integrity, prevents translocation of bacterial content, and contributes to immune status, but also associates with estrogen metabolism. Gut dysbiosis and estrobolome dysfunction have hence been linked to certain estrogen-dependent diseases, including endometriosis. While prior studies on microbiomes and endometriosis have shown conflicting results, most of the observed microbial differences are seen in the genital tract. This case-control study of reproductive-age women utilizes their fecal and urine samples for enzymatic, microbial, and metabolic studies to explore if patients with endometriosis have distinguishable gut microbiota or altered estrogen metabolism. While gut β-glucuronidase activities, microbial diversity, and abundance did not vary significantly between patients with or without endometriosis, fecal samples of patients with endometriosis were more enriched by the Erysipelotrichia class and had higher folds of four estrogen/estrogen metabolites. Further studies are needed to elucidate what these results imply and whether there indeed is an association or causation between gut microbiota and endometriosis.

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Section: Discussioncontrasting

confidence: 58%

Gut Microbiome–Estrobolome Profile in Reproductive-Age Women with Endometriosis

Pai,

Wang,

et al. 2023

IJMS

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“…Survey of full-scan MS spectra (300-1800 m/z) were acquired with a resolution of R = 70,000 at m/z 200. Dynamic exclusion duration was 40.0 s. The raw data were combined and searched using the MaxQuant 1.5.3.17 software for identification and quantitation analysis as described previously (Pettersen et al 2021).…”

Section: Lc-ms/msmentioning

confidence: 99%

Drug synergy discovery of tavaborole and aminoglycosides against Escherichia coli using high throughput screening

She

et al. 2022

AMB Expr

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High incidences of urinary tract infection (UTI) of aminoglycosides-resistant E.coli causes a severe burden for public health. A new therapeutic strategy to ease this crisis is to repurpose non-antibacterial compounds to increase aminoglycosides sensibility against multidrug resistant E.coli pathogens. Based on high throughput screening technology, we profile the antimicrobial activity of tavaborole, a first antifungal benzoxaborole drug for onychomycosis treatment, and investigate the synergistic interaction between tavaborole and aminoglycosides, especially tobramycin and amikacin. Most importantly, by resistance accumulation assay, we found that, tavaborole not only slowed resistance occurrence of aminoglycosides, but also reduced invasiveness of E.coli in combination with tobramycin. Mechanistic studies preliminary explored that tavaborole and aminoglycosides lead to mistranslation, but would be still necessary to investigate more details for further research. In addition, tavaborole exhibited low systematic toxicity in vitro and in vivo, and enhanced aminoglycoside bactericidal activity in mice peritonitis model. Collectively, these results suggest the potential of tavaborole as a novel aminoglycosides adjuvant to tackle the clinically relevant drug resistant E. coli and encourages us to discover more benzoxaborole analogues for circumvention of recalcitrant infections.

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Bone and periosteum protein analysis via tandem mass tag quantitative proteomics in pediatric patients with osteomyelitis

Wu,

Chen,

Huang

et al. 2024

Biomedical Chromatography

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Bone healing is crucial in managing osteomyelitis after fracture fixation. Understanding the mechanism of extensive callus formation in pediatric osteomyelitis is highly important. This study aims to analyze bone and periosteum samples from pediatric patients to elucidate the essential processes involved in callus formation during osteomyelitis. The study included eight patients from our hospital: four with positive microbial culture who underwent osteomyelitis debridement and four who had osteotomy surgery as contral. We used tandem mass tag quantitative proteomics to investigate proteomic changes in bone and periosteum tissues obtained from these patients. Differential expression proteins were analyzed for their pathways through Gene Ontology (GO) annotation, GO enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and protein–protein interaction networks. A total of 4737 proteins were successfully identified. About 2224 differentially expressed proteins were detected in the bone tissues group and periosteum tissues group. Among the differentially expressed proteins, 10 protein genes in the bone group were associated with inflammation and osteogenesis, while in the periosteum group were nine. Cytochrome b‐245, beta polypeptide (CYBB), nicotinamide phosphoribosyltransferase (NAMPT), tissue inhibitor of metalloproteinases 1 (TIMP‐1), Raf‐1 proto‐oncogene, serine/threonine kinase (RAF‐1), RELA proto‐oncogene, NF‐KB subunit (RELA), and sphingomyelin synthase 2 (SGMS2) may play an important role in callus formation in patients with osteomyelitis. This study provides novel clues for understanding callus formation in pediatric patients with osteomyelitis.

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Distinct Metabolic Features of Pathogenic Escherichia coli and Shigella spp. Determined by Label‐Free Quantitative Proteomics

Cited by 7 publications

References 46 publications

Gut Microbiome–Estrobolome Profile in Reproductive-Age Women with Endometriosis

Gut Microbiome–Estrobolome Profile in Reproductive-Age Women with Endometriosis

Drug synergy discovery of tavaborole and aminoglycosides against Escherichia coli using high throughput screening

Bone and periosteum protein analysis via tandem mass tag quantitative proteomics in pediatric patients with osteomyelitis

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