scholarly journals Circulating exosomal lncRNAs in patients with chronic coronary syndromes

2021 ◽  
Author(s):  
Meili Zheng ◽  
Ruijuan Han ◽  
Wen Yuan ◽  
Hongjie Chi ◽  
Yeping Zhang ◽  
...  
Keyword(s):  
Operating Characteristic ◽  
Case Control Study ◽  
Diagnostic Value ◽  
Pcr Analysis ◽  
Roc Curve Analysis ◽  
Coronary Syndrome ◽  
Qrt Pcr ◽  
Coronary Syndromes ◽  
European Society Of Cardiology ◽  
Control Study

IntroductionThe concept of chronic coronary syndrome (CCS) was first presented at the European Society of Cardiology Meeting in 2019. However, the roles of exosomal lncRNAs in CCS remain largely unclear.Material and methodsA case-control study was performed with a total of 218 participants (137 males and 81 females), including 15 CCS patients and 15 controls for sequencing profiles, 20 CCS patients and 20 controls for the first validation, and 100 CCS patients and 48 controls for the second validation. Exosomes were isolated from the plasma of CCS patients and controls, and exosomal lncRNAs were identified by sequencing profiles and verified twice by qRT-PCR analysis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic value of exosomal lncRNAs for CCS patients.ResultsA total of 152 significantly differentially expressed lncRNAs with over two-fold changes were detected in plasma exosomes of CCS patients, including 90 upregulated and 62 downregulated lncRNAs. Importantly, 6 upregulated lncRNAs with the top fold changes were selected for validations. Exosomal lncRNAs ENST00000424615.2 and ENST00000560769.1 were significantly elevated in CCS patients in both validations compared with controls. The areas under the ROC of lncRNAs ENST00000424615.2 and ENST00000560769.1 were 0.654 and 0.722, respectively. Additionally, exosomal lncRNA ENST00000560769.1 was significantly higher in the CCS patients with more diseased vessels (p = 0.028).ConclusionsExosomal lncRNA ENST00000424615.2 and ENST00000560769.1 were identified as novel diagnosis biomarkers for patients with CCS. Moreover, exosomal lncRNA ENST00000560769.1 was significantly higher in the CCS patients with more diseased vessels, and might be associated with a poor prognosis.

scholarly journals Comparison of the Morphological and Biomechanical Characteristics of Keratoconus, Forme Fruste Keratoconus, and Normal Corneas

2020 ◽  
Author(s):  
Li-Li Guo ◽  
Lei Tian ◽  
Kai Cao ◽  
Yu-Xin Li ◽  
Na Li ◽  
...  
Keyword(s):  
Roc Analysis ◽  
Operating Characteristic ◽  
Case Control Study ◽  
Area Under The Curve ◽  
Roc Curve Analysis ◽  
Corneal Surface ◽  
Biomechanical Parameters ◽  
Low Efficiency ◽  
Control Study ◽  
Forme Fruste Keratoconus

Abstract Background: To explore the feasibility of corneal morphological and biomechanical parameters for keratoconus and forme fruste keratoconus diagnosis.Methods: This case-control study included a total of 517 eyes from 408 keratoconus patients (KC group), 83 eyes from 83 forme fruste keratoconus patients (FFKC group), and 158 eyes from 158 patients with normal corneas (NL group). All subjects underwent routine ophthalmology examinations. Pentacam and Corneal Visualization Scheimpflug Technology were used to obtain corneal morphological and biomechanical parameters. Differences between the groups were compared using receiver operating characteristic (ROC) curve analysis.Results: Comparison of the NL group with the KC and FFKC groups (P<0.05), and the NL and KC groups alone (P<0.017), revealed statistically significant differences in corneal morphological and biomechanical parameters, except time from the start until the highest concavity (HCT), deflection length of the first applanation (A1 DfL), and deflection length of the second applanation (A2 DfL). Comparison of the NL and FFKC groups revealed 12 significantly different parameters (P<0.017). ROC analysis showed that all corneal morphological parameters and most biomechanical parameters distinguished KC from NL, with an area under the curve (AUC) greater than 0.80, of which Belin-Ambrósio enhanced ectasia total deviation index (BAD-D) and tomographic and biomechanical index (TBI) were most efficient. Except for central astigmatism from the anterior corneal surface (AstigF), the AUC that distinguished FFKC from NL was 0.862. Other parameters distinguished FFKC from NL with low efficiency. Conclusion: All corneal morphological and most biomechanical parameters are different in KC versus NL, but only a few parameters are different in FFKC versus NL. BAD-D and TBI have the highest efficiency, sensitivity, and specificity for distinguishing KC from NL. The parameters had a low ability to distinguish FFKC from NL. The application of biomechanical instruments to diagnose early keratoconus needs further study.

The Leu33/Pro Polymorphism (PIA1/PIA2 ) of the Glycoprotein IIIa (GPIIIa) Receptor Is Not Related to Myocardial Infarction in the ECTIM Study

1997 ◽  
Vol 77 (06) ◽  
pp. 1179-1181 ◽  
Author(s):  
Stefan-Martin Herrmann ◽  
Odette Poirier ◽  
Pedro Marques-Vidal ◽  
Alun Evans ◽  
Dominique Arveiler ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Coronary Syndromes ◽  
Case Control Study ◽  
Case Control ◽  
Receptor Complex ◽  
Genotype Frequencies ◽  
Large Multicenter Study ◽  
Glycoprotein Iiia ◽  
Coronary Syndromes ◽  
Control Study

SummaryThe GPIIb/IIIa receptor complex may contribute to acute coronary syndromes by mediating platelet aggregation. The Leu33/Pro polymorphism (PlAl/PlA2) of the GPIIIa has recently been shown to be associated with CHD in a small case-control study. We have investigated this polymorphism in a large multicenter study of patients with myocardial infarction and controls and found no difference in the distribution of allele and genotype frequencies between cases and controls.

scholarly journals Diagnostic utility of a Ferritin-to-Procalcitonin Ratio to differentiate patients with COVID-19 from those with Bacterial Pneumonia: A multicenter study

2021 ◽  
Author(s):  
Amal A Gharamti ◽  
Fei Mei ◽  
Katherine C Jankousky ◽  
Jin Huang ◽  
Peter Hyson ◽  
...  
Keyword(s):  
Bacterial Pneumonia ◽  
Operating Characteristic ◽  
Case Control Study ◽  
Receiver Operating Characteristic Analysis ◽  
Similar Proportion ◽  
Characteristic Analysis ◽  
Multivariable Analyses ◽  
Prevalence Of Diabetes Mellitus ◽  
Control Study

Abstract Background There is an urgent need for accurate, rapid, inexpensive biomarkers that can differentiate COVID-19 from bacterial pneumonia. We assess the role of the ferritin-to-procalcitonin (F/P) ratio to classify pneumonia cases into those due to COVID-19 or due to bacterial pathogens. Methods This multicenter case-control study compared patients with either COVID-19 and bacterial pneumonia, admitted between March 1 and May 31, 2020. Patients with COVID-19 and bacterial pneumonia co-infection were excluded. The F/P in patients with COVID-19 or with bacterial pneumonia were compared. Receiver operating characteristic analysis determined the sensitivity and specificity of various cut-off F/P values for COVID-19 versus bacterial pneumonia. Results A total of 242 COVID-19 pneumonia cases and 34 bacterial pneumonia controls were included. Patients with COVID-19 pneumonia had a lower mean age (57.11 vs 64.4 years, p=0.02) and a higher BMI (30.74 vs 27.15 kg/m 2, p=0.02) compared to patients with bacterial pneumonia. Cases and controls had a similar proportion of women (47% vs 53%, p=0.5) and COVID-19 patients had a higher prevalence of diabetes mellitus (32.6% vs 12%, p=0.01). The median F/P was significantly higher in patients with COVID-19 (4037.5) compared to the F/P in bacterial pneumonia (802, p&lt;0.001). An F/P ≥ 877 used to diagnose COVID-19 resulted in a sensitivity of 85% and a specificity of 56%, with a positive predictive value of 93.2%, and a likelihood ratio of 1.92. In multivariable analyses, an F/P ≥ 877 was associated with greater odds of identifying a COVID-19 case (OR: 11.27, CI: 4-31.2, p&lt;0.001). Conclusion An F/P ≥ 877 increases the likelihood of COVID-19 pneumonia compared to bacterial pneumonia.

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