The reference range of serum magnesium substance concentration among healthy young adults at Makerere University College of Health Sciences 2012

Background: Magnesium is the second most abundant intracellular cation, with only a small proportion of the body’s content being in the extracellular fluid. It is required for the active transport of other cations such as calcium, sodium and potassium across the membrane by active transport system. It is also needed for many intracellular metabolic pathways. This study was carried to establish the reference intervals for serum magnesium substance concentration among healthy medical students in Uganda.Methods: This was purposive study in which ante-cubital venous blood samples were drawn without stasis from 60 healthy, natively Ugandan pre-clinical medical students and analysed without delay using Cobasintegra 400/700/800 automated analyser which flagged each result using the in-built seemingly temperate reference range of 0.65-1.05 mmol/L.Results: The distribution of serum magnesium substance concentration was unimodal, leptokurtic, and positively skewed with empirical range of 0.86 – 1.32 mmol/L. There was no result flagged as low. Twenty-six out of sixty (43.3%) results were flagged as high values while none approached 2.0 mmol/L, considered the threshold of hypermagnesaemia symptoms. Using the central 95 percentile, the reference range was set as 0.81 – 1.29 mmol/L which is higher and slightly broader than the 0.65 – 1.05 mmol/L often quoted for populations in temperate regions and in-built in automated analysers exported even to the tropics.Conclusion: Reference ranges were higher in the studied healthy young adults in Uganda than those in the temperate regions. Effort should therefore be made to enable our laboratories establish their own reference values

Quantitative Assessment of the Sensitivity of Various Commercial Reverse Transcriptases Based on Armored HIV RNA

The in-vitro reverse transcription of RNA to its complementary DNA, catalyzed by the enzyme reverse transcriptase, is the most fundamental step in the quantitative RNA detection in genomic studies. As such, this step should be as analytically sensitive, efficient and reproducible as possible, especially when dealing with degraded or low copy RNA samples. While there are many reverse transcriptases in the market, all claiming to be highly sensitive, there is need for a systematic independent comparison of their applicability in quantification of rare RNA transcripts or low copy RNA, such as those obtained from archival tissues.We performed RT-qPCR to assess the sensitivity and reproducibility of 11 commercially available reverse transcriptases in cDNA synthesis from low copy number RNA levels. As target RNA, we used a serially known number of Armored HIV RNA molecules, and observed that 9 enzymes we tested were consistently sensitive to ∼1,000 copies, seven of which were sensitive to ∼100 copies, while only 5 were sensitive to ∼10 RNA template copies across all replicates tested. Despite their demonstrated sensitivity, these five best performing enzymes (Accuscript, HIV-RT, M-MLV, Superscript III and Thermoscript) showed considerable variation in their reproducibility as well as their overall amplification efficiency. Accuscript and Superscript III were the most sensitive and consistent within runs, with Accuscript and Superscript II ranking as the most reproducible enzymes between assays.We therefore recommend the use of Accuscript or Superscript III when dealing with low copy number RNA levels, and suggest purification of the RT reactions prior to downstream applications (eg qPCR) to augment detection. Although the results presented in this study were based on a viral RNA surrogate, and applied to nucleic acid lysates derived from archival formalin-fixed paraffin embedded tissue, their relative performance on RNA obtained from other tissue types may vary, and needs future evaluation

The use of census migration data to approximate human movement patterns across temporal scales

Human movement plays a key role in economies and development, the delivery of services, and the spread of infectious diseases. However, it remains poorly quantified partly because reliable data are often lacking, particularly for low-income countries. The most widely available are migration data from human population censuses, which provide valuable information on relatively long timescale relocations across countries, but do not capture the shorter-scale patterns, trips less than a year, that make up the bulk of human movement. Census-derived migration data may provide valuable proxies for shorter-term movements however, as substantial migration between regions can be indicative of well connected places exhibiting high levels of movement at finer time scales, but this has never been examined in detail. Here, an extensive mobile phone usage data set for Kenya was processed to extract movements between counties in 2009 on weekly, monthly, and annual time scales and compared to data on change in residence from the national census conducted during the same time period. We find that the relative ordering across Kenyan counties for incoming, outgoing and between-county movements shows strong correlations. Moreover, the distributions of trip durations from both sources of data are similar, and a spatial interaction model fit to the data reveals the relationships of different parameters over a range of movement time scales. Significant relationships between census migration data and fine temporal scale movement patterns exist, and results suggest that census data can be used to approximate certain features of movement patterns across multiple temporal scales, extending the utility of census-derived migration data

Quantitative assessment of the sensitivity of various commercial reverse transcriptases based on armored

Abstract Background: The in-vitro reverse transcription of RNA to its complementary DNA, catalyzed by the enzyme reverse transcriptase, is the most fundamental step in the quantitative RNA detection in genomic studies. As such, this step should be as analytically sensitive, efficient and reproducible as possible, especially when dealing with degraded or low copy RNA samples. While there are many reverse transcriptases in the market, all claiming to be highly sensitive, there is need for a systematic independent comparison of their applicability in quantification of rare RNA transcripts or low copy RNA, such as those obtained from archival tissues