Are patients affected by chronic non-communicable diseases aware of their own clinical and laboratory parameters? A cross-sectional study from the south of Saudi Arabia

BackgroundPatient’s awareness of their clinical and laboratory parameters is an indicator of the degree of involvement in achieving their management goals. This investigation aimed to identify awareness of patients affected by chronic non-communicable diseases of their clinical and laboratory parameters and factors associated with the awareness.MethodsThis study was a cross-sectional investigation conducted in the Jazan region, between January and August 2020. Data was collected during phone interviews utilizing a semi-structured questionnaire. Odds ratios (ORs) were calculated to estimate the likelihood of awareness of each clinical and laboratory parameter according to the measured demographic variables.ResultsThe total number of recruited patients was 675. The mean age of participants was 53.7 years and the 28.7% of patients were illiterate. About 17% of the patient do not attend follow-up visits to any healthcare provider. When patients were asked about their parameters, 87% of them were able to report their body weight and 74% were able to report their height. However, less than half of patients were aware of their glycated hemoglobin level (HbA1c) (271/675 patients) and systolic blood pressure (BP) level (329/ 675 patients), and a minority were aware of their total cholesterol level (71/675 patients). Being female, resident in a rural area, illiterate, and older than 53 was strongly associated with high odds of limited awareness about their own clinical and laboratory parameters (P values < 0.05).ConclusionAwareness of patients affected by chronic non-communicable diseases of their own clinical and laboratory parameters in the Jazan region is sub-optimal where this limited awareness is likely to be associated with the lower engagement of patients with achieving their desired management targets.     

Evolution of Homochirality by Epimerization of Random Peptide Chains. A Stochastic Model

A cyclic process is described which is constituted of polymerization, epimerization, and hydrolysis steps. During the first cycle peptides with random sequences are formed from racemic amino acids. A small portion of these peptides have substructures with a terminal residue linked to a homochiral sequence of optical antipodes. In such a substructure the terminal residue is assumed to invert into its mirror image so that a thermodynamically favourable epimeric stucture with continuous homochirality is formed.In the hydrolysis step the peptides are split back to monomeric units with retention of configuration. Due to stochastic differences between L- and D-substructures a net excess of one of the enantiomers results. This excess enhances the probability of the formation of substructures having the dominant configuration in the next cycle. It is shown by probabilistic considerations and computer simulations that this mechanism generates an autocatalytic growth of one of the enantiomers which finally results in homochiral populations of amino acids.The number of cycles necessary to attain homochirality depends on the number of residues of the substructure, on the chain length distribution of the polymers and on the total number of amino acid units.     

Mutagenesis by random cloning of an Escherichia coli kanamycin resistance gene into the genome of the cyanobacterium Synechocystis PCC 6803: Selection of mutants defective in photosynthesis

Summary Photosynthetic mutants of the cyanobacterium Synechocystis PCC 6803 were produced by a random cartridge mutagenesis method leading to gene inactivation. This procedure relies on random ligation of an Escherichia coli kanamycin resistance (Km^r) gene to restriction fragments of genomic DNA from the host. Then recombination occurring during transformation promotes integration of the marker gene into the genome of the recipient cells. Several mutants impaired in photosynthesis were obtained by this procedure. All are partially or totally defective in photosystem II activity and some of them also harbour a functionally modified photosystem I. Restriction and recombination data showed that one mutant (AK1) is best explained as an insertion of the Km^r gene into an AvaII restriction site of the gene psbD-1. All other harbour a deletion, ranging from at least 1.15 kb (AK3) to more than 50 kb (AK9), which partly or fully overlaps the genes psbB and/or psbD-1, depending on the mutant. A genetic-physical map of the more than 60 kb region of the cyanobacterial genome harbouring the genes psbB, psbC and psbD-1 was constructed by combining published sequence data on these genes with the results of recombination and restriction mapping.     

Characterization of a glucosylglycerol-phosphate-accumulating,salt-sensitive mutant of the cyanobacterium Synechocystis sp. strain PCC 6803

Salt-sensitive mutants of Synechocystis were obtained by random cartridge mutagenesis, and one mutant (mutant 4) was characterized in detail. The salt tolerance of mutant 4 was reduced to about 20% of that of the wild-type. This was caused by a defect in the biosynthetic pathway of the osmoprotective compound glucosylglycerol (GG). Salt-treated cells of mutant 4 accumulated the intermediate glucosylglycerol-phosphate (GG-P). Only low levels of phosphate-free GG were detected. The phosphorylated form of GG was not osmoprotective and seemed to be toxic. In vitro enzyme assays revealed that GG-P-phosphatase activity was completely absent in mutant 4, while GG-P-synthase remained unchanged. The integration site of the aphII cartridge in mutant 4 and the corresponding wild-type region was cloned and sequenced. Mutant 4 was complemented to salt resistance after transformation by the cloned wild-type region. The integration of the cartridge led to a deletion of about 1.1 kb of the chromosomal DNA. This affected two of the identified putative protein coding regions, orfII and stpA. The ORFII protein shows a high degree of similarity to the receiver domain of response regulator proteins. Related sequences were not found for StpA. We assume that in mutant 4, regulatory genes necessary for the process of salt adaptation in Synechocystis are impaired. Received: 12 January 1996 / Accepted: 28 May 1996     

Artificial small RNA-mediated growth inhibition in Escherichia coli and Salmonella enterica serovar Typhimurium

We developed a synthetic RNA approach to identify growth inhibition sequences by cloning random 24-nucleotide (nt) sequences into an arabinose-inducible expression vector. This vector expressed a small RNA (sRNA) of ∼140 nt containing a 24 nt random sequence insert. After transforming Escherichia coli with the vector, 10 out of 954 transformants showed strong growth defect phenotypes and two clones caused cell lysis. We then examined growth inhibition phenotypes in the Salmonella Typhimurium LT2 strain using the twelve sRNAs that exerted an inhibitory effect on E. coli growth. Three of these clones showed strong growth inhibition phenotypes in S. Typhimurium LT2. The most effective sRNA contained the same insert (N1) in both bacteria. The 24 nt random sequence insert of N1 was abundant in guanine residues (ten out of 24 nt), and other random sequences causing growth defects were also highly enriched for guanine (G) nucleotides. We, therefore, generated clones that express sRNAs containing a stretch of 16 to 24 continuous guanine sequences (poly-G₁₆, -G₁₈, -G₂₀, -G₂₂, and -G₂₄). All of these clones induced growth inhibition in both liquid and agar plate media and the poly-G₂₀ clone showed the strongest effect in E. coli. These results demonstrate that our sRNA expression system can be used to identify nucleotide sequences that are potential candidates for oligonucleotide antimicrobial drugs.     

Use of the regression of mean crowding on mean density for estimating sample size and the transformation of data for the analysis of variance

An approximate method for estimating the sample size in simple random sampling and a systematic way of transformation of sample data are derived by using the parameters α and β of the regression of mean crowding on mean density in the spatial distribution per quadrat of animal populations (Iwao , 1968). If the values of α and β have been known for the species concerned, the sample size needed to attain a desired precision can be estimated by simply knowing the approximate level of mean density of the population to be sampled. Also, an appropriate variance stabilizing transformation of sample data can be obtained by the method given here without restrictions on the distribution pattern of the frequency counts.