Phylogenetic Analysis of Brucella melitensis Strains Isolated from Humans Using 16S rRNA Sequencing and Multiple Locus Variable Number of Tandem Repeats Analysis-16.

Background: Brucellosis is the most important public health problem worldwide, and the annual incidence of the disease in humans is 2.1 million. The Brucella genome is highly conserved, with over 90% similarity among species. The aim of this study was to perform species-level identification of Brucella spp. strains isolated from humans diagnosed with brucellosis and to further investigate the phylogenetic relationships using multiple locus variable number of tandem repeats analysis (MLVA)-16 and 16S rRNA sequencing analysis. Materials and Methods: Brucella spp. was isolated from the blood cultures of 54 patients who tested positive for brucellosis through serological examinations. Real-time PCR was used to identify the isolates in species, and the genus level of Brucella was confirmed with 16S rRNA. All isolates were subjected to phylogenetic analysis using variable number of tandem repeat analysis with multiple loci. Results: Subsequent analysis via real-time PCR confirmed these isolates to be of the Brucella melitensis species. The 16S rRNA sequence analysis showed 100% homogeneity among the isolates. MLVA revealed the formation of five different genotypic groups. While two groups were formed based on the 16S rRNA sequence analysis, five groups were formed in the MLVA. Conclusions: The study concluded that 16S rRNA sequence analysis alone did not provide sufficient discrimination for phylogenetic analysis but served as a supportive method for identification. MLVA exhibited higher phylogenetic power. The widespread isolation of B. melitensis from human brucellosis cases highlights the importance of controlling brucellosis in small ruminants to prevent human infections.

Temporal tendency, seasonality and relationship with climatic factors of Crimean-Congo Hemorrhagic Fever cases (East of Turkey: 2012-2021).

Crimean-Congo Hemorrhagic Fever continues to be an important public health problem by expanding its borders. To evaluate the temporal trend, seasonality, and relationship with the climatic factors of Crimean-Congo Hemorrhagic Fever. Study data included cases treated in two different tertiary healthcare institutions between 2012 and 2021. The demographic characteristics of the cases and the dates of admission to the hospital were determined, and they were matched with the average of the measurements (temperature, cumulative precipitation, relative humidity, wind speed) of two different meteorology stations in the study area. By calculating the crude incidence rates, the trend in years was investigated. Estimates were created by removing the incidence rates, seasonality, and trend components using the additive decomposition technique. The temporal relationship between incidence rates and climatic factors was evaluated with the help of the Autoregressive Distributed Lag Bound Test. Toda Yamamoto test was used for causality verification. The mean age of the cases (n = 974) included in the study was 47.6 ± 17.7 years, and the majority (57.3%) were in the group above 45 years of age. 56.6% of the cases were male and there was a male predominance in all age groups. Incidence rates ranged from 5.5 to 23.1/100,000 over the ten-year period and there was a significant upward trend (R2 = 0.691, p = 0.003). Cases of Crimean-Congo Hemorrhagic Fever that started in March, peaked in July and ended in October, showed a clear seasonality. A cointegration relationship was observed between case incidence rates and air temperature, cumulative precipitation, and relative humidity (p < 0.05 for all). Climatic factors can only indirectly affect the occurrence of Crimean-Congo Hemorrhagic Fever cases. However, climatic conditions that become progressively more favorable for vector ticks lead to the spread of the disease. The control measures to be taken should be prepared by considering the changing climatic conditions and prioritizing the risk groups. There is a need for information and awareness-raising studies about climate change and the growing dangers associated with it, also outside of endemic regions.

Epidemiological characteristics, seasonality, trends of dog bite injuries, and relationship with meteorological data.

INTRODUCTION AND OBJECTIVE: Animal bites are among the most critical in public health problems. Dogs are the leading cause of bite injuries. The study aimed to investigate the epidemiology and clinical features of dog bite cases admitted to an emergency department, as well as their temporal trends, seasonality, and tr relationship with meteorological data. MATERIAL AND METHODS: Study data comprised eight years (2012-2019) emergency room records of a tertiary center. Demographic characteristics of the cases, bite anatomical area, treatment applied, hospitalization, and death rates were determined. The incidence rates and distribution of meteorological data by years were examined using ANOVA and Kruskal Wallis tests. Seasonality and temporal trends were investigated for incidence rates using the additive decomposition technique. The temporal relationship of incidence rates with meteorological data was evaluated using the Autoregressive Distributed Delayed Boundary Test. Causality verification was perfoirmed using the Granger test. RESULTS: Dog bite cases consisted of 1,335 records of partients with a mean age of 26.6±0.2 years. Bite cases were most common in the 20-44 age group (44.7%), males (76.4%), and lower extremities (48.2%). The frequency of hospitalization was 4.1%. Annual incidence rates ranged from 52.7-49.9/100,000, with a non-significant increasing trend. The incidence of bites had two peaks, in June and August. A co-integration relationship was observed between incidence rates and air temperature and humidity levels (p<0.001). CONCLUSIONS: Effective implementation of prevention programmes is needed for high-risk demographic groups. In addition, a national monitoring and reporting system could evaluate the effectiveness of any prevention programme and reduce the incedence of dog bites.

Genotyping of Brucella isolates from animals and humans by Multiple-Locus Variable-number Tandem Repeat Analysis (MLVA).

This study investigates country-wide genotype variations through the genotyping of Brucella strains isolated from domestic ruminants and humans. The Brucella spp. isolated from samples taken from animals and humans were first identified as B. abortus and B. melitensis by real-time PCR, and the MLVA-16 approach was then used for the genotyping of the identified isolates. For the study, 416 Brucella spp. were isolated from aborted fetus samples examined between 2018 and 2021, and 74 Brucella spp. from infected humans. Of the 74 human isolates analyzed, 1.3% were identified as B. abortus and 98.7% (73/74) as B. melitensis. The MLVA-16 typing method revealed 30 clonal groups for B. abortus and 37 clonal groups for B. melitensis from which the dominant genotypes and similarities with human isolates in Türkiye were determined.

Molecular epidemiology of Coxiella burnetii detected in humans and domestic ruminants in Turkey.

Q fever is a zoonotic disease that is known to be widespread throughout the world by many researches since its discovery in 1935 and it is important in terms of animal and public health. Coxiella burnetii, which is the etiological agent of the disease, is an obligate intracellular pathogen. While the disease generally manifests itself with abortion in animals, disease manifests as atypical pneumonia or granulomatous hepatitis in the acute form and as endocarditis in the chronic form in humans. Its presence in Turkey has been shown with a large number of studies. The aim of this study was to show the genotypic relationship with MLVA analysis of C. burnetii samples found in cattle, sheep and goat samples in Erzurum and Samsun Veterinary Control Institutes and blood samples collected from humans with atypical pneumonia findings. In the study, MLVA analyses of 100 positive samples from 50 cows, 41 sheep and 9 goats from Northeast Anatolia and Black Sea regions and C. burnetii positive samples found in 6 individuals with atypical pneumonia were performed. As a result of the study, it was found that 106 C. burnetii samples had belong to 16 genotype groups. It was found that genotype XVI was the most prevalent among these groups and it was seen in both regions. In addition to this, genotype IX profile was the second largest group with 83.3% (5/6) of human samples. In this study, the genotypes common in the regions were determined and a data source was created for possible outbreaks.

Evaluation of the relationship between TREM-1/TREM-2 ratio and clinical course in COVID-19 pneumonia.

OBJECTIVE: The inflammatory/anti-inflammatory balance has an important role in the clinical course of SARS-CoV-2 infection (COVID-19), which has affected over 100 million people since it first appeared in China in December 2019. The aim of this study was to investigate the relationship between triggering receptor expressed on myeloid cells (TREM)-1/TREM-2 ratio and COVID-19 severity. METHODS: A total of 171 individuals were included in the study: 121 patients who were admitted to the chest diseases department and intensive care unit of our hospital and diagnosed with COVID-19 by real-time PCR of nasopharyngeal swab samples from December 2020 to March 2021 and a control group consisting of 50 asymptomatic health workers in our hospital who had negative real-time PCR results during routine COVID-19 screening. RESULTS: TREM-1 level was significantly higher in patients with severe disease compared with the moderate and control groups (P = .003, P = .001). TREM-2 levels did not differ significantly in moderate and severe patients (P = .36) but were significantly higher in both patient groups compared with the control group (P = .001 for both). TREM-1/TREM-2 ratio was significantly higher in the severe patient group than in the moderate and control groups (P = .001 for both). In receiver operating characteristic curve analysis of TREM-1/TREM-2 ratio in patients with moderate and severe COVID-19, the area under the curve was 0.723. Using a cut-off value of 0.125 for TREM-1/TREM-2 ratio in the Youden index calculation, the sensitivity was 60% and specificity was 71%. CONCLUSION: Experience with the positive effects of medical treatments to restore inflammatory balance in the course of COVID-19 is steadily increasing. TREM-1 and TREM-2 have an important role in inflammation and may serve as biomarkers and therapeutic targets in the early treatment and follow-up of COVID-19.

Distribution of viral genotypes and extrahepatic manifestations in patients with chronic hepatitis C in Eastern Turkey.

BACKGROUND/AIM: To investigate the distribution of viral genotypes, the extrahepatic manifestations, and the relationship between genotypes and extrahepatic manifestations in patients with chronic hepatitis C. MATERIALS AND METHODS: The study included 62 treatment-naive patients with chronic hepatitis C infection. Genotype determination was performed by DNA sequencing analysis. To investigate extrahepatic manifestations, the patients' data, recorded prospectively during the pretreatment period, were analyzed. RESULTS: Genotype determination was successful in 74.2% of the cases. All patients were infected with hepatitis C virus (HCV) genotype lb. At least 1 extrahepatic manifestation was identified in 37.1% of the patients. The most frequent clinical manifestations were type II diabetes mellitus (8.1%) and arthralgia or arthritis (8.0%). There was no relationship between extrahepatic manifestations and fibrosis or transaminase levels, but female sex and advanced age were risk factors. Because all patients were infected with the same genotype, the relationship between extrahepatic manifestations and genotype could not be examined. CONCLUSION: HCV genotype 1b is predominant in patients with chronic hepatitis C in the Eastern Anatolian Region of Turkey. In total, 37.1% of the patients had at least 1 extrahepatic manifestation. Female sex and advanced age were risk factors for having extrahepatic manifestations.