scholarly journals Evaluation of Gas Explosion Injury Based on Analysis of Rat Serum Profile by Ultra-Performance Liquid Chromatography/Mass Spectrometry-Based Metabonomics Techniques

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Xinwen Dong ◽  
Weidong Wu ◽  
Sanqiao Yao ◽  
Jia Cao ◽  
Ling He ◽  
...  
Keyword(s):  
Rat Model ◽  
Time Course ◽  
Molecular Mechanisms ◽  
Global Analysis ◽  
Early Period ◽  
Global Public Health ◽  
Gas Explosion ◽  
Rat Serum ◽  
Metabolic Alterations ◽  
Explosion Injury

Gas explosion can lead to serious global public health issues. Early period gas explosion injury (GEI) can induce a series of histopathologic and specific metabolic changes. Unfortunately, it is difficult to treat GEI thoroughly. To date, the specific molecular mechanism of GEI is still unclear. To accurately diagnose and provide comprehensive clinical intervention, we performed a global analysis of metabolic alterations involved in GEI. The physiological and behavioral indicators’ changes of rats after gas explosion were observed. These metabolic alterations were first investigated in a rat model using serum metabonomics techniques and multivariate statistical analysis. Significant heart rate (HR), mean blood pressure (mBP), and neurobehavioral index changes were observed in the GEI group after gas explosion. UPLC-MS revealed evident separated clustering between the control and GEI groups using supervised partial least squares discriminant analysis (PLS-DA). We designed an integrated metabonomics study for identifying reliable biomarkers of GEI using a time-course analysis of discriminating metabolites in this experiment. The metabonomics analysis showed alterations in a number of biomarkers (21 from serum). The meaningful biomarkers of GEI provide new insights into the pathophysiological changes and molecular mechanisms of GEI, including the disturbances in oxidative stress and neuroinflammatory reaction, as well as in metabolism of lipids, glucose, and amino acids in rats, suggesting that the process of GEI in humans is likely to be comprehensive and dynamic. Correlations between the GEI group and the biomarkers identified from the rat model will be further explored to elucidate the metabolic pathways responsible for GEI in the human body.

scholarly journals Local and global analysis of endocytic patch dynamics in fission yeast using a new “temporal superresolution” realignment method

2014 ◽  
Vol 25 (22) ◽  
pp. 3501-3514 ◽  
Author(s):  
Julien Berro ◽  
Thomas D. Pollard
Keyword(s):  
Fission Yeast ◽  
Time Course ◽  
Molecular Mechanisms ◽  
Global Analysis ◽  
Patch Dynamics ◽  
Data Sets ◽  
Universal Method ◽  
Quantitative Microscopy ◽  
Cellular Processes ◽  
Vesicle Movement

Quantitative microscopy is a valuable tool for inferring molecular mechanisms of cellular processes such as clathrin-mediated endocytosis, but, for quantitative microscopy to reach its potential, both data collection and analysis needed improvement. We introduce new tools to track and count endocytic patches in fission yeast to increase the quality of the data extracted from quantitative microscopy movies. We present a universal method to achieve “temporal superresolution” by aligning temporal data sets with higher temporal resolution than the measurement intervals. These methods allowed us to extract new information about endocytic actin patches in wild-type cells from measurements of the fluorescence of fimbrin-mEGFP. We show that the time course of actin assembly and disassembly varies <600 ms between patches. Actin polymerizes during vesicle formation, but we show that polymerization does not participate in vesicle movement other than to limit the complex diffusive motions of newly formed endocytic vesicles, which move faster as the surrounding actin meshwork decreases in size over time. Our methods also show that the number of patches in fission yeast is proportional to cell length and that the variability in the repartition of patches between the tips of interphase cells has been underestimated.

scholarly journals Upregulation of transcription factors in lung in the early phase of postpneumonectomy lung growth

2001 ◽  
Vol 281 (5) ◽  
pp. L1138-L1149 ◽  
Author(s):  
Leonard J. Landesberg ◽  
Ramachandran Ramalingam ◽  
Kenneth Lee ◽  
Todd K. Rosengart ◽  
Ronald G. Crystal
Keyword(s):  
Cell Proliferation ◽  
Transcription Factors ◽  
Time Course ◽  
Molecular Mechanisms ◽  
Early Period ◽  
Northern Analysis ◽  
Lung Growth ◽  
Expression Array ◽  
Compensatory Response ◽  
Cdna Expression Array

In the adult rodent, pneumonectomy results in compensatory lung growth characterized by cell proliferation. The molecular mechanisms governing this response remain unknown. We hypothesized that, in the early period postpneumonectomy, upregulated expression of transcription factors drives the growth process. We utilized a cDNA expression array to screen for upregulated transcription factors after left pneumonectomy in adult C57BL/6 mice, using unoperated mice as controls. Quantification of mRNA expression in the remaining lung at 2 h demonstrated a twofold or greater upregulation of six transcription factors: early growth response gene-1 (Egr-1), Nurr77, tristetraprolin, the primary inhibitor of nuclear factor-κB (IκB-α), gut-enriched Krüppel-like factor (GKLF), and LRG-21. Northern analysis was used to quantify the upregulation of expression of these genes relative to sham thoracotomy and unoperated controls. The largest increase was in Egr-1 (4.7-fold > naive). Time-course analysis over the first 24 h confirmed the transient nature of the early upregulation. In the context that postpneumonectomy lung growth is associated with cell proliferation and that genes such as Egr-1, Nurr77, LRG-21, and tristetraprolin have known roles in stress response, vascular biology, embryology, and cellular development, these data support the concept that transcription factors function early in the cascade of events leading to the compensatory response.

scholarly journals Decoding the temporal nature of brain GR activity in the NFκB signal transition leading to depressive-like behavior

2021 ◽  
Author(s):  
Young-Min Han ◽  
Min Sun Kim ◽  
Juyeong Jo ◽  
Daiha Shin ◽  
Seung-Hae Kwon ◽  
...  
Keyword(s):  
Inhibitory Action ◽  
Time Course ◽  
Molecular Mechanisms ◽  
Late Phase ◽  
Fine Tuning ◽  
Dependent Manner ◽  
Middle Phase ◽  
Temporal Shift

AbstractThe fine-tuning of neuroinflammation is crucial for brain homeostasis as well as its immune response. The transcription factor, nuclear factor-κ-B (NFκB) is a key inflammatory player that is antagonized via anti-inflammatory actions exerted by the glucocorticoid receptor (GR). However, technical limitations have restricted our understanding of how GR is involved in the dynamics of NFκB in vivo. In this study, we used an improved lentiviral-based reporter to elucidate the time course of NFκB and GR activities during behavioral changes from sickness to depression induced by a systemic lipopolysaccharide challenge. The trajectory of NFκB activity established a behavioral basis for the NFκB signal transition involved in three phases, sickness-early-phase, normal-middle-phase, and depressive-like-late-phase. The temporal shift in brain GR activity was differentially involved in the transition of NFκB signals during the normal and depressive-like phases. The middle-phase GR effectively inhibited NFκB in a glucocorticoid-dependent manner, but the late-phase GR had no inhibitory action. Furthermore, we revealed the cryptic role of basal GR activity in the early NFκB signal transition, as evidenced by the fact that blocking GR activity with RU486 led to early depressive-like episodes through the emergence of the brain NFκB activity. These results highlight the inhibitory action of GR on NFκB by the basal and activated hypothalamic-pituitary-adrenal (HPA)-axis during body-to-brain inflammatory spread, providing clues about molecular mechanisms underlying systemic inflammation caused by such as COVID-19 infection, leading to depression.

Time-course of plasma inflammatory mediators in a rat model of brain death

2017 ◽  
Vol 43-44 ◽  
pp. 21-26 ◽  
Author(s):  
Majid Esmaeilzadeh ◽  
Mahmoud Sadeghi ◽  
Roland Galmbacher ◽  
Volker Daniel ◽  
Jürgen Knapp ◽  
...  
Keyword(s):  
Brain Death ◽  
Rat Model ◽  
Inflammatory Mediators ◽  
Time Course

scholarly journals Assessment of the Metabolic Pathways Associated With Glucose-Stimulated Biphasic Insulin Secretion

Endocrinology ◽  
2014 ◽  
Vol 155 (5) ◽  
pp. 1653-1666 ◽  
Author(s):  
Mei Huang ◽  
Jamie W. Joseph
Keyword(s):  
Insulin Secretion ◽  
Time Course ◽  
Tricarboxylic Acid Cycle ◽  
Global Analysis ◽  
Tricarboxylic Acid ◽  
Second Phase ◽  
Data Set ◽  
Negatively Associated ◽  
Biphasic Insulin ◽  
Biphasic Insulin Secretion

Biphasic glucose-stimulated insulin secretion involves a rapid first phase followed by a prolonged second phase of insulin secretion. The biochemical pathways that control these 2 phases of insulin secretion are poorly defined. In this study, we used a gas chromatography mass spectroscopy-based metabolomics approach to perform a global analysis of cellular metabolism during biphasic insulin secretion. A time course metabolomic analysis of the clonal β-cell line 832/13 cells showed that glycolytic, tricarboxylic acid, pentose phosphate pathway, and several amino acids were strongly correlated to biphasic insulin secretion. Interestingly, first-phase insulin secretion was negatively associated with l-valine, trans-4-hydroxy-l-proline, trans-3-hydroxy-l-proline, dl-3-aminoisobutyric acid, l-glutamine, sarcosine, l-lysine, and thymine and positively with l-glutamic acid, flavin adenine dinucleotide, caprylic acid, uridine 5′-monophosphate, phosphoglycerate, myristic acid, capric acid, oleic acid, linoleic acid, and palmitoleic acid. Tricarboxylic acid cycle intermediates pyruvate, α-ketoglutarate, and succinate were positively associated with second-phase insulin secretion. Other metabolites such as myo-inositol, cholesterol, dl-3-aminobutyric acid, and l-norleucine were negatively associated metabolites with the second-phase of insulin secretion. These studies provide a detailed analysis of key metabolites that are either negatively or positively associated with biphasic insulin secretion. The insights provided by these data set create a framework for planning future studies in the assessment of the metabolic regulation of biphasic insulin secretion.

Time course of changes in striatal dopamine transporters and D2 receptors with specific iodinated markers in a rat model of Parkinson's disease

Synapse ◽  
1999 ◽  
Vol 31 (2) ◽  
pp. 134-139 ◽  
Author(s):  
Sylvie Chalon ◽  
Patrick Emond ◽  
Sylvie Bodard ◽  
Marie-Paule Vilar ◽  
Cynthia Thiercelin ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rat Model ◽  
Time Course ◽  
D2 Receptors ◽  
Striatal Dopamine ◽  
Dopamine Transporters

scholarly journals An early echocardiographic prediction for functional myocardial recovery after ST elevation myocardial infarction

Kardiologiia ◽  
2021 ◽  
Vol 61 (1) ◽  
pp. 66-71
Author(s):  
Alper Karakus ◽  
Berat Uğuz
Keyword(s):  
Myocardial Infarction ◽  
Functional Recovery ◽  
Time Course ◽  
Systolic Function ◽  
Strong Predictor ◽  
Early Period ◽  
St Elevation Myocardial Infarction ◽  
Myocardial Recovery ◽  
St Elevation ◽  
Index Value

Goals Discrimination of the time course of functional recovery in early period following ST elevation myocardial infarction (STEMI) has prognostic importance. This study aims to establish the ability of the combined systolic-diastolic index (E / (Ea x Sa), for differentiating recoverable myocardium or persistent non-viability in subjects with STEMI.Material and methods 77 patients with first acute STEMI were enrolled to the study. Serial transthoracic echocardiography (TTE) examinations were performed at the time of the admission (immediately after reperfusion), hospital discharge (5±1 days) and control examination (30±2 days). To assess the association between E / (Ea×Sa) index and myocardial recovery, two categories (Transient stunning and persistent non-viability) were defined on basis of improvement of left ventricle ejection fraction (LV EF) (Improvement was defined as an increase more than 10 % in LV EF at day 30 compared to baseline).Results 55 patients (71.4 %) had improvement of LV EF and 24 patients (28.6 %) had no recovery of systolic function (30 days LV EF 48.78±6.1 vs. 39.31±8.1 %, p=0.01). The E / (Ea×Sa) index were significantly higher in the “non-viability” than in stunning group on predischarge and 1 month (1.61±0.64 vs 1.25±0.43, p=0.01 and 1.33±0.25 vs 1.14±0.21, p=0.01, respectively). The change in the E / (Ea×Sa) index in early period (within 5±1 days) was higher in the stunning group (26 %) compared to non-viability group (15 %) (p=0.033). E / (Ea×Sa) index was found to be a significant predictor of myocardial recovery in multivariable logistic regression (OR 0.91, 95 % CI 0.83–0.98, p=0.001). Roc curve showed that the cutoff value of E / (Ea×Sa) index is 1.29 with 73 % of sensitivity and 61 % of specificity (AUC: 0.71, p=0.01, CI: 0.54–0.89).Conclusions Our findings suggest that E / (Ea×Sa) index is a strong predictor of functional recovery; the odds of recovery decreases as E / (Ea×Sa) index value increases.

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