Profiling of epidermal lipids in a mouse model of dermatitis: Identification of potential biomarkers

Franco, Jackeline; Ferreira, Christina R.; Sobreira, Tiago J. P.; Sundberg, John P.; HogenEsch, Harm

doi:10.1371/journal.pone.0196595

Cited by 27 publications

(32 citation statements)

References 72 publications

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“…lipid profiling results via LC-MS/MS (35,(37)(38)(39)(40)(41)(42)(43)(44). Our current study only evaluated transcriptional regulation of ALOX, future studies are needed to examine protein levels and activity.…”

Section: Discussionmentioning

confidence: 98%

“…Multiple reaction monitoring (MRM)-profiling was used as the exploratory lipidomic approach to screen for AgNP-induced alterations in lipid mediators of inflammation, ceramides, phosphatidylcholines, and sphingomyelins (34,35). Differential inflammation is the focus of the current investigation; therefore, we have chosen to emphasize specific lipids and pathways associated with inflammation.…”

Section: Lipid Profilingmentioning

confidence: 99%

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Exacerbation of Nanoparticle-Induced Acute Pulmonary Inflammation in a Mouse Model of Metabolic Syndrome

et al. 2020

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Nanotechnology has the capacity to revolutionize numerous fields and processes, however, exposure-induced health effects are of concern. The majority of nanoparticle (NP) safety evaluations have been performed utilizing healthy models and have demonstrated the potential for pulmonary toxicity. A growing proportion of individuals suffer diseases that may enhance their susceptibility to exposures. Specifically, metabolic syndrome (MetS) is increasingly prevalent and is a risk factor for the development of chronic diseases including type-2 diabetes, cardiovascular disease, and cancer. MetS is a combination of conditions which includes dyslipidemia, obesity, hypertension, and insulin resistance. Due to the role of lipids in inflammatory signaling, we hypothesize that MetS-associated dyslipidemia may modulate NP-induced immune responses. To examine this hypothesis, mice were fed either a control diet or a high-fat western diet (HFWD) for 14-weeks. A subset of mice were treated with atorvastatin for the final 7-weeks to modulate lipids. Mice were exposed to silver NPs (AgNPs) via oropharyngeal aspiration and acute toxicity endpoints were evaluated 24-h postexposure. Mice on the HFWD demonstrated MetS-associated alterations such as increased body weight and cholesterol compared to control-diet mice. Cytometry analysis of bronchoalveolar lavage fluid (BALF) demonstrated exacerbation of AgNPinduced neutrophilic influx in MetS mice compared to healthy. Additionally, enhanced proinflammatory mRNA expression and protein levels of monocyte chemoattractant protein-1, macrophage inflammatory protein-2, and interleukin-6 were observed in MetS mice compared to healthy following exposure. AgNP exposure reduced mRNA expression of enzymes involved in lipid metabolism, such as arachidonate 5lipoxygenase and arachidonate 15-lipoxygenase in both mouse models. Exposure to AgNPs decreased inducible nitric oxide synthase gene expression in MetS mice. An exploratory lipidomic profiling approach was utilized to screen lipid mediators involved in pulmonary inflammation. This assessment indicates the potential for

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Section: Discussionmentioning

confidence: 98%

Section: Lipid Profilingmentioning

confidence: 99%

Exacerbation of Nanoparticle-Induced Acute Pulmonary Inflammation in a Mouse Model of Metabolic Syndrome

et al. 2020

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“…22 Thus, the pronounced lipid reservoir found within the oocyte, especially in the form of TAG, is specifically required to provide a rich energy source upon demand to support the first set of cell cleavages. 17 Moreover, there is evidence that the number and size of lipid droplets are reduced immediately after sperm penetration. 20 Shortly after fertilization and prior to 8-16 cell stage, when embryonic genome activation (EGA) occurs, embryonic development relies on stored maternal material due to transcriptional silencing during this period.…”

Section: Pc [34:1]mentioning

confidence: 99%

“…Therefore, comparisons are based on the fact that changes in relative amounts are usually confirmed by absolute quantification and MRM-profiling has correlated well with LC-MS/MS. 17 Thus, for the first step (discovery), we applied a list MRMs generated by combining the m/z for the molecular ion based on the LipidMAPS online database (http://www.lipidmaps.org/) with the expected product ion resulting from the Prec or NL scan for each class (Table 1). To prepare such list, constitutional isomers were combined into one single entry in which only the lipid class, number of total fatty acyl residues, and unsaturation number is listed (e.g.…”

mentioning

confidence: 99%

Comprehensive lipid profiling of early stage oocytes and embryos by MRM profiling

et al. 2018

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“…To accelerate exploratory lipidomic discovery, a novel two-stage methodology, multiple reaction monitoring profiling (MRM-Profiling), has been developed as a diagnostic/distinguishing factor. It has previously been tested on several model systems, including Parkinson's disease, 36 polycystic ovarian syndrome, 37 diet compliance, 38 colostrum uptake, 39 atopic dermatitis, 40 and embryo metabolism. 41 The results of MRM-Profiling have proven to be broadly consistent with those from pathological or clinical analysis.…”

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confidence: 99%

Multiple Reaction Monitoring Profiling (MRM-Profiling) of Lipids To Distinguish Strain-Level Differences in Microbial Resistance in Escherichia coli

et al. 2019

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The worldwide increase in antimicrobial resistance is due to antibiotic over-use in agriculture and over-prescription in medicine. For appropriate and timely patient support, faster diagnosis of antimicrobial resistance is required. Current methods for bacterial identification rely on genomics and proteomics and use comparisons with databases of known strains, but the diagnostic value of metabolites and lipids has not been explored significantly. Standard mass spectrometry/chromatography methods involve multiple dilutions during sample preparation and separation. To increase the amount of chemical information acquired and the speed of analysis of lipids, multiple reaction monitoring profiling (MRM-Profiling) has been applied. The MRM-Profiling workflow includes a discovery stage and a screening stage. The discovery stage employs precursor ion (PREC) and neutral loss (NL) scans to screen representative pooled samples for functional groups associated with particular lipid classes. The information from the first stage is organized in precursor/product ion pairs, or MRMs, and the screening stage rapidly interrogates individual samples for these MRMs. In this study, we performed MRM-Profiling of lipid extracts from four different strains of Escherichia coli cultured with amoxicillin or amoxicillin/clavulanate, a beta-lactam and beta-lactamase inhibitor, respectively. T-tests, analysis of variance (ANOVA) and receiver operating characteristic (ROC) curves were used to determine the significance of each MRM. Principal component analysis (PCA) was applied to distinguish different strains cultured under conditions that allowed or disallowed development of bacterial resistance. The results demonstrate that MRM-Profiling distinguishes the lipid profiles of resistant and non-resistant E. coli strains. Annually there are over 1.2 billion health care visits in the United States of which 12.6% result in ~154 million antibiotic prescriptions for bacterial infections. 1 Urinary, respiratory and skin infections are most common. 2 The top pathogens responsible for 80 to 90% of infections are Escherichia coli, Staphylococcus aureus, and Klebsiella pneumoniae, the latter two of which are part of the ESKAPE group of pathogens which also include Enterococcus faecium, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species. 3-5 Infections are especially common in certain care settings and patient populations where they cause high recurrence rates and great severity of infections. 6-8 Potential infections are frequently treated prior to confirmation of the presence of pathogens, leading to over-prescription which is strongly associated with the development of antibioticresistance and may eradicate potentially commensal microbiome populations, resulting in dysfunction against future pathogens. 9-12 High rates of infection recurrence and the emergence of pathogens with antimicrobial resistance are found among patients with frequent antibiotic dosing. 11,13,14 There therefore remains a need for rapid bacterial identificati...

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Profiling of epidermal lipids in a mouse model of dermatitis: Identification of potential biomarkers

Cited by 27 publications

References 72 publications

Exacerbation of Nanoparticle-Induced Acute Pulmonary Inflammation in a Mouse Model of Metabolic Syndrome

Exacerbation of Nanoparticle-Induced Acute Pulmonary Inflammation in a Mouse Model of Metabolic Syndrome

Comprehensive lipid profiling of early stage oocytes and embryos by MRM profiling

Multiple Reaction Monitoring Profiling (MRM-Profiling) of Lipids To Distinguish Strain-Level Differences in Microbial Resistance in Escherichia coli

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