An Overview of the World Current and Future Assessment of Novel COVID-19 Trajectory, Impact, and Potential Preventive Strategies at Healthcare Settings.

This study is an overview of the current and future trajectory, as well as the impact of the novel Coronavirus (COVID-19) in the world and selected countries including the state of Kuwait. The selected countries were divided into two groups: Group A (China, Switzerland, and Ireland) and Group B (USA, Brazil, and India) based on their outbreak containment of this virus. Then, the actual data for each country were fitted to a regression model utilizing the excel solver software to assess the current and future trajectory of novel COVID-19 and its impact. In addition, the data were fitted using the Susceptible-Infected-Recovered (SIR) Model. The Group A trajectory showed an "S" shape trend that suited a logistic function with r2 > 0.97, which is an indication of the outbreak control. The SIR models for the countries in this group showed that they passed the expected 99% end of pandemic dates. Group B, however, exhibited a continuous increase of the total COVID-19 new cases, that best suited an exponential growth model with r2 > 0.97, which meant that the outbreak is still uncontrolled. The SIR models for the countries in this group showed that they are still relatively far away from reaching the expected 97% end of pandemic dates. The maximum death percentage varied from 3.3% (India) to 7.2% with USA recording the highest death percentage, which is virtually equal to the maximum death percentage of the world (7.3%). The power of the exponential model determines the severity of the country's trajectory that ranged from 11 to 19 with the USA and Brazil having the highest values. The maximum impact of this COVID-19 pandemic occurred during the uncontrolled stage (2), which mainly depended on the deceptive stage (1). Further, some novel potential containment strategies are discussed. Results from both models showed that the Group A countries contained the outbreak, whereas the Group B countries still have not reached this stage yet. Early measures and containment strategies are imperative in suppressing the spread of COVID-19.

Genetic combination of angiotensin-converting enzyme with methylene tetrahydrofolate reductase polymorphisms and the risk of type 2 diabetes mellitus in Bahrain.

INTRODUCTION: Bahrain has a high prevalence of type 2 diabetes mellitus (T2DM). Previously, Angiotensin-converting enzyme (ACE) insertion/deletion (I/D) polymorphism was found to be associated with T2DM in Bahrainis. The relationship between the disease progression in Bahraini T2DM population and the genetic polymorphism of methylene-tetrahydrofolate-reductase (MTHFR) C677T is still under investigation. AIM: The current study investigated the distribution of MTHFR C677T gene polymorphism among Bahraini T2DM patients and examined the interaction between ACE I/D and MTHFR C677T polymorphisms on the risk of developing T2DM and its long-term complications. MATERIALS AND METHODS: Polymerase chain reaction (PCR) and PCR-restriction fragment length polymorphism (RFLP) were used to test for the presence of ACE I/D and MTHFR C677T polymorphisms in 171 patients with T2DM compared to 188 healthy (non-diabetic) age-matched control subjects from Bahrain. RESULTS: The incidence of the DD genotype and D allele of the ACE gene was high among Bahraini T2DM patients. MTHFR allele and genotype frequencies did not differ between patients and controls. No significant relationship was identified between the combinations of ACE I/D and MTHFR C677T polymorphisms with T2DM. CONCLUSIONS: The results clearly showed an association of the ACE I/D polymorphism with the progression of T2DM, but when it interacts with MTHFR polymorphism no influence was detected on the increased risk of T2DM.

Mitochondrial DNA control region variation in a Kuwaiti population sample.

Mitochondrial control region (16024-576) sequences were generated from 381 Kuwaiti samples. Previously, these samples were typed with the AmpFℓSTR(®) Identifiler(®) kit (Applied Biosystems, Foster City, California). Automated high throughput lab processing combined with a redundant sequencing strategy and multiple reviews of the raw electropherograms ensure the high quality of these sequences and their utility as reference population data for Kuwait.

Concordance between the AmpFlSTR MiniFiler and AmpFlSTR Identifiler PCR amplification kits in the Kuwaiti population.

The AmpFlSTR MiniFiler polymerase chain reaction amplification kit, developed and supplied by Applied Biosystems, complements the AmpFlSTR Identifiler polymerase chain reaction amplification kit (Applied Biosystems, Warrington, U.K.) by improving the success rate when profiling DNA that is degraded or contains inhibitors. Before applying the MiniFiler kit to casework, the profiles from 200 unrelated Kuwaitis were compared to Identifiler profiles. Concordance was observed for 99.875% (1598 of 1600) of the compared STR loci. The two discordant profiles displayed allelic dropout: one at the D13S317 locus due to nonamplification of allele 10 in the MiniFiler profile, and one at the D18S51 locus due to nonamplification of allele 18 in the Identifiler profile.

STR data for the AmpFlSTR Identifiler loci in Kuwaiti population.

Allele frequencies for 15 STR loci included in AmpFlSTR Identifiler kit were ascertained in a sample population of 502 unrelated Kuwaiti individuals. Allele frequencies were compared with 6 Caucasian populations using an exact test. This showed that the Kuwaiti population was very similar to the neighboring Iraqi and Saudi populations. As the geographical distance between the populations increased, as expected, more differences were observed. Relevant forensic parameters were also determined.