scholarly journals Cell Population Data and Serum Polyclonal Immunoglobulin Free Light Chains in the Assessment of COVID-19 Severity

Viruses ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1381
Author(s):  
Milena Małecka-Giełdowska ◽  
Maria Fołta ◽  
Agnieszka Wiśniewska ◽  
Emilia Czyżewska ◽  
Olga Ciepiela
Keyword(s):  
Nucleic Acid ◽  
Serum Concentration ◽  
Odds Ratio ◽  
Healthcare Quality ◽  
Reference Value ◽  
Population Data ◽  
Light Chains ◽  
Nucleic Acid Content ◽  
Free Light Chains ◽  
Polyclonal Immunoglobulin

Distinguishing between severe and nonsevere COVID-19 to ensure adequate healthcare quality and efficiency is a challenge for the healthcare system. The aim of this study was to assess the usefulness of CBC parameters together with analysis of FLC serum concentration in risk stratification of COVID-19. Materials and methods: CBC was analyzed in 735 COVID ICU, COVID non-ICU, and non-COVID ICU cases. FLC concentration was analyzed in 133 of them. Results: COVID ICU had neutrophils and lymphocytes with the greatest size, granularity, and nucleic acid content. Significant differences in concentrations of κ and λ FLCs were shown between COVID ICU and COVID non-ICU. However, no difference was found in the κ/λ ratio between these groups, and the ratio stayed within the reference value, which indicates the presence of polyclonal FLCs. FLC κ measurement has significant power to distinguish between severe COVID-19 and nonsevere COVID-19 (AUC = 0.7669), with a sensitivity of 86.67% and specificity of 93.33%. The κ coefficients’ odds ratio of 3.0401 was estimated. Conclusion: It can be concluded that the results obtained from the measure of free light immunoglobulin concentration in serum are useful in distinguishing between severe and nonsevere COVID-19.

Application of Ogur & Rosen's Method for the Determination of Nucleic Acid Content of Bacteria

1957 ◽  
Vol 12 (2) ◽  
pp. 125-129 ◽  
Author(s):  
Nobuyasu KAWASAKI ◽  
Ichiro TAKI ◽  
Chiaki WATANABE ◽  
Kiyoshi MATOBA ◽  
Mokichiro NISHIO ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Acid Content ◽  
Nucleic Acid Content

scholarly journals Using flow cytometry and light-induced fluorescence technique to characterizethe variability and characteristics of bioaerosols in springtime at Metro Atlanta, Georgia

2018 ◽  
Author(s):  
Arnaldo Negron ◽  
Natasha DeLeon-Rodriguez ◽  
Samantha M. Waters ◽  
Luke D. Ziemba ◽  
Bruce Anderson ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Nucleic Acid ◽  
Acid Content ◽  
Fungal Spores ◽  
Epifluorescence Microscopy ◽  
Nucleic Acid Content ◽  
Rain Event ◽  
Bacterial Cells ◽  
Sampling System ◽  
Spores And Pollen

Abstract. The abundance and speciation of primary biological aerosol particles (PBAP) is important for understanding their impacts on human health, cloud formation and ecosystems. Towards this, we have developed a protocol for quantifying PBAP collected from large volumes of air with a portable wet-walled cyclone bioaerosol sampler. A flow cytometry (FCM) protocol was then developed to quantify and characterize the PBAP populations from the sampler, which were confirmed against epifluorescence microscopy. The sampling system and FCM analysis were used to study PBAP in Atlanta, GA over a two-month period and showed clearly defined populations of DNA-containing particles: Low Nucleic Acid-content particles (bioLNA), High Nucleic Acid-content particles (HNA) being fungal spores and pollen. We find that daily-average springtime PBAP concentration (1 to 5 μm diameter) ranged between 1.4 × 104 and 1.1 × 105 m−3. The BioLNA population dominated PBAP during dry days (72 ± 18 %); HNA dominated the PBAP during humid days and following rain events, where HNA (e.g., wet-ejected fungal spores) comprised up to 92 % of the PBAP number. Concurrent measurements with a Wideband Integrated Bioaerosol Sensor (WIBS-4A) showed that FBAP and total FCM counts are similar; HNA (from FCM) significantly correlated with ABC type FBAP concentrations throughout the sampling period (and for the same particle size range, 1–5 μm diameter). However, the FCM bioLNA population, possibly containing bacterial cells, did not correlate to any FBAP type. The lack of correlation of any WIBS FBAP type with the bioLNA suggest bacterial cells may be more difficult to detect with autofluorescence than previously thought. Ιdentification of bacterial cells even in the FCM (bioLNA population) is challenging, given that the fluorescence level of stained cells at times may be comparable to that seen from abiotic particles. HNA and ABC displayed highest concentration on a humid and warm day after a rain event (4/14), suggesting that both populations correspond to wet-ejected fungal spores. Overall, information from both instruments combined reveals a highly dynamic airborne bioaerosol community over Atlanta, with a considerable presence of fungal spores during humid days, and a bioLNA population dominating bioaerosol community during dry days.

scholarly journals Examining the Role of Acculturation in E-Cigarette Use among U.S. Immigrant Adults

2021 ◽  
Vol 18 (7) ◽  
pp. 3658
Author(s):  
Sunday Azagba ◽  
Lingpeng Shan
Keyword(s):  
Host Country ◽  
Odds Ratio ◽  
Multivariable Analysis ◽  
Population Data ◽  
Cultural Norms ◽  
Cigarette Use ◽  
Length Of Residence ◽  
Native Populations ◽  
The U.S

Evidence suggests that as immigrants’ length of residence in the host country increases, they may integrate their behavior and norms to align with the new community’s cultural norms. The current study examined e-cigarette use among immigrants in the U.S., and whether the length of residence in the U.S. is associated with e-cigarette use among immigrants compared to the native-born population. Data were drawn from the 2014/15 and 2018/19 Tobacco Use Supplement to the Current Population Survey. Multivariable logistic regression was used to compare differences in e-cigarette use between native-born populations and immigrants, when immigrants’ length of residence in the U.S. was considered. Among immigrants, the prevalence of ever and current e-cigarette use increased significantly from 2.5% and 0.5% in 2014/2015 to 3.2% and 0.8% in 2018/2019, respectively. Multivariable analysis showed that immigrants had significantly lower odds of ever e-cigarette use compared to the mainland-born citizen (0–5 years in the U.S., adjusted Odds Ratio (aOR) 0.57, 95% Confidence Interval (CI) 0.46–0.69; 6–10 years, aOR 0.51, 95% CI 0.41–0.63; 11–20 years, aOR 0.45, 95% CI 0.39–0.53; 20+years, aOR 0.68, 95% CI 0.62–0.76). Similar results were found for current e-cigarette use, with immigrants being less likely to be current users. Findings that e-cigarette use among all immigrants—regardless of years living in the U.S.—was consistently lower than among the native-born population run contrary to the notion that as length of stay increases, health behaviors between immigrants and native populations of the host country become similar.

Sign in / Sign up

Export Citation Format

Share Document