| 1. |
- Beal, Jacob, et al.
(author)
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Robust estimation of bacterial cell count from optical density
- 2020
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In: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
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Journal article (peer-reviewed)abstract
- Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
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| 2. |
- Gómez-Pérez, Samuel, et al.
(author)
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Atherogenic indices in pediatric population in South-Southeast region of Mexico
- 2022
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In: Journal of Tropical Pediatrics. - : Oxford University Press. - 0142-6338 .- 1465-3664. ; 68:6
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Journal article (peer-reviewed)abstract
- Background: Atherosclerosis is a cardiovascular disease, highly predictable, and associated with different atherogenic indices (AI) in adults. However, such indexes in the pediatric population are far less explored. The objective of this study was to evaluate the AI and the cardiovascular factors in the pediatric population in the South-Southeast of Mexico.Methods: A total of 481 children between 2 and 17 years old were recruited. Anthropometric evaluation, blood pressure (BP), lipid profile, apolipoprotein A-I (ApoA-I) and apolipoprotein B (ApoB) were measured, and AI were calculated. The population was grouped by age, binary logistic regression analysis was performed to analysis for associations of AI and cardiovascular risk factors. Sensibility and specificity of AI to detect metabolic alteration were evaluated for curve ROC.Results: The atherogenic risk presented a high prevalence in the pediatric population, such as LDL-c/ApoB (86.9%), AIP (78%) and AC (36.6%). Preschoolers showed a higher risk of ApoB/ApoA-I and ApoB/LDL-c, while adolescents have a high risk of AIP. CRI-I and AC were associated with elements of lipid profile and body mass index (BMI). ROC curves analysis shows that AIP is the best index evaluating metabolic syndrome (MS) (0.87) and dyslipidemia (0.91).Conclusion: Such pediatric population showed a high risk of AI, mainly by LDL-c/ApoB and AIP. The BMI was the cardiovascular risk factors most frequently related to AI, AIP is the best index for detecting cases of MS and dyslipidemia. This is the first study carried out in the pediatric population from the South-Southeast of Mexico that evaluated the AI.
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