Interrelationship of hemoglobin A1c level lipid profile, uric acid, C-reactive protein levels and age in a large hospital database.

INTRODUCTION: Hemoglobin A1c (HbA1c) is used to monitor glucose homeostasis and to identify risk for diabetes. As diabetic patients are frequently present with dyslipidaemia, low-grade inflammation and hyperuricemia, we tested whether HbA1c levels can be estimated having the information about lipid profile, uric acid (UA) and C-reactive protein (CRP) levels. We developed formulas to describe the association of these parameters with HbA1c levels. METHODS: Data of 9599 male and 10,817 female patients, measured between 2008 and 2018, were analysed. Patients represented a general hospital patient population with overrepresentation of those with elevated HbA1c over 5.6%. The impact of gender, age, CRP, lipid profile and UA levels on HbA1c % on HbA1c levels was tested with multiple linear regression model. The magnitude of effects of individual factors was used to develop formulas to describe the association between HbA1c and other cardiometabolic parameters. With these formulas we estimated median HbA1c values in each age in both gender and compared them to measured HbA1c levels. RESULTS: The developed formulas are as follow: HbA1c (estimated) in women = 0.752 + 0.237*log10(HDL/cholesterol) + 0.156*log10 (cholesterol) + 0.077*log10 (triglyceride) + 0.025*log10(CRP) +0.001*log10 (age) -0.026*log10(HDL/LDL) -0.063*log10 (uric acid)-0.075*log10 (LDL)-0.199*log10(HDL); HbA1c (estimated) in men = 1.146 + 0.08*log10 (triglyceride) + 0.046*log10(CRP) + 0.01*log10 (cholesterol) + 0.001*log10 (age) -0.014*log10(HDL)-0.018*log10(HDL/LDL)-0.025*log10(HDL/cholesterol) -0.068*log10 (LDL)-0.159*log10 (uric acid) Between 20 and 70 years of age, estimated HbA1c matched perfectly to measured HbA1c in. CONCLUSION: At population level, HbA1c levels can be estimated almost exactly based on lipid profile, CRP and uric acid levels in female patients between 20 and 70 years.

Acute SARS-CoV-2 infection and seropositivity among healthcare workers and medical students in summer 2020, Hungary.

OBJECTIVES: The aim was to compare the prevalence of acute infection and seropositivity of SARS-CoV-2 among healthcare workers (HCWs) and medical students. MATERIAL AND METHODS: A high-volume, single-center analysis was conducted in the period of July 1‒August 1, 2020, at the Semmelweis University. Naso- and oropharyngeal samples were collected for polymerase chain reaction (PCR), and blood samples for anti-SARS-CoV-2 IgG. A questionnaire was also administered about the infection symptoms and the obtained results were assessed by profession and site of care delivery. RESULTS: From the total cohort (N = 7948), 4478 (56%) and 3470 (44%) were health professionals and medical students, respectively. They were mainly female (67%), and the mean age of HCWs and students was 40 and 25 years, respectively. By profession, physicians (1.5%) and other HCWs (1.8%) showed a comparable SARS-CoV-2 exposure. International students had the highest (2.1%), whereas Hungarian students had the lowest (0.6%) prevalence of seropositivity. The highest prevalence was detected among the staff of COVID-19 wards (12.1%). By PCR, medical students showed the lowest occurrence of active infection with a prevalence of 0.17%, while physicians and other HCWs had a higher prevalence (1.46% and 1.71%, respectively). By site of care delivery, positive test results were the most frequent at COVID-19 wards (3.8%). CONCLUSIONS: Physicians and other HCWs showed comparable SARS-CoV-2 seropositivity prevalence, approximately twice as high as in the general population of Budapest. Hungarian students had lower prevalence of seropositivity than this reference. High prevalence among international students suggests that they had imported the infection. The very high prevalence of documented exposure among staff members at COVID-19 wards urges for improving the safety measures. Int J Occup Med Environ Health. 2022;35(2):209-16.

A proline tRNA(CGG) gene encompassing the attachment site of temperate phage 16-3 is functional and convertible to suppressor tRNA.

Several temperate bacteriophage utilize chromosomal sequences encoding putative tRNA genes for phage attachment. However, whether these sequences belong to genes which are functional as tRNA is generally not known. In this article, we demonstrate that the attachment site of temperate phage 16-3 (attB) nests within an active proline tRNA gene in Rhizobium meliloti 41. A loss-of-function mutation in this tRNA gene leads to significant delay in switching from lag to exponential growth phase. We converted the putative Rhizobium gene to an active amber suppressor gene which suppressed amber mutant alleles of genes of 16-3 phage and of Escherichia coli origin in R. meliloti 41 and in Agrobacterium tumefaciens GV2260. Upon lysogenization of R. meliloti by phage 16-3, the proline tRNA gene retained its structural and functional integrity. Aspects of the co-evolution of a temperate phage and its bacterium host is discussed. The side product of this work, i.e. construction of amber suppressor tRNA genes in Rhizobium and Agrobacterium, for the first time widens the options of genetic study.

Site-specific integrative elements of rhizobiophage 16-3 can integrate into proline tRNA (CGG) genes in different bacterial genera.

The integrase protein of the Rhizobium meliloti 41 phage 16-3 has been classified as a member of the Int family of tyrosine recombinases. The site-specific recombination system of the phage belongs to the group in which the target site of integration (attB) is within a tRNA gene. Since tRNA genes are conserved, we expected that the target sequence of the site-specific recombination system of the 16-3 phage could occur in other species and integration could take place if the required putative host factors were also provided by the targeted cells. Here we report that a plasmid (pSEM167) carrying the attP element and the integrase gene (int) of the phage can integrate into the chromosomes of R. meliloti 1021 and eight other species. In all cases integration occurred at so-far-unidentified, putative proline tRNA (CGG) genes, indicating the possibility of their common origin. Multiple alignment of the sequences suggested that the location of the att core was different from that expected previously. The minimal attB was identified as a 23-bp sequence corresponding to the anticodon arm of the tRNA.