Novel mutations have been emerging in the genome of severe acute respiratory syndrome‐coronavirus 2 (SARS‐CoV‐2); consequently, the evolving of more virulent and treatment resistance strains have the potential to increase transmissibility and mortality rates. The characterization of full‐length SARS‐CoV‐2 genomes is critical for understanding the origin and transmission pathways of the virus, as well as identifying mutations that affect the transmissibility and pathogenicity of the virus. We present an analysis of the mutation pattern and clade distribution of full‐length SARS‐CoV‐2 genome sequences obtained from specimens tested at Gazi University Medical Virology Laboratory. Viral RNA was extracted from nasopharyngeal specimens. Next‐generation sequencing libraries were prepared and sequenced on Illumina iSeq 100 platform. Raw sequencing data were processed to obtain full‐length genome sequences and variant calling was performed to analyze amino acid changes. Clade distribution was determined to understand the phylogenetic background in relation to global data. A total of 293 distinct mutations were identified, of which 152 missense, 124 synonymous, 12 noncoding, and 5 deletions. The most frequent mutations were P323L (nsp12), D614G (ORF2/S), and 2421C>T (5′‐untranslated region) found simultaneously in all sequences. Novel mutations were found in nsp12 (V111A, H133R, Y453C, M626K) and ORF2/S (R995G, V1068L). Nine different Pangolin lineages were detected. The most frequently assigned lineage was B.1.1 (17 sequences), followed by B.1 (7 sequences) and B.1.1.36 (3 sequences). Sequence information is essential for revealing genomic diversity. Mutations might have significant functional implications and analysis of these mutations provides valuable information for therapeutic and vaccine development studies. Our findings point to the introduction of the virus into Turkey through various sources and the subsequent spread of several key variants.

Aim. In this study we assessed the predictive power of quantitative EEG (qEEG) for the treatment response to right frontal transcranial magnetic stimulation (TMS) in obsessive compulsive disorder (OCD) using a machine learning approach. Method. The study included 50 OCD patients (35 responsive to TMS, 15 nonresponsive) who were treated with right frontal low frequency stimulation and identified retrospectively from Uskudar Unversity, NPIstanbul Brain Hospital outpatient clinic. All patients were diagnosed with OCD according to the DSM-IV-TR and DSM-5 criteria. We first extracted pretreatment band powers for patients. To explore the prediction accuracy of pretreatment EEG, we employed machine learning methods using an artificial neural network model. Results. Among 4 EEG bands, theta power successfully discriminated responsive from nonresponsive patients. Responsive patients had more theta powers for all electrodes as compared to nonresponsive patients. Discussion. qEEG could be helpful before deciding about treatment strategy in OCD. The limitations of our study are moderate sample size and limited number of nonresponsive patients and that treatment response was defined by clinicians and not by using a formal symptom measurement scale. Future studies with larger samples and prospective design would show the role of qEEG in predicting TMS response better.

Objective: Human Parainfluenza viruses (HPIVs) cause respiratory tract infections, and the second most common cause of acute respiratory illness-related hospitalizations after the respiratory syncytial virus in children <5 years of age. The aim of the study; determination of HPIVs positivity and common types in pediatric patients with respiratory tract infection; investigation the distribution of HPIV positivity by age groups, months and seasons, respectively. Material and Method: HPIV results of 1613 pediatric patients who were sent to the molecular virology laboratory from various pediatric clinics of Gazi Hospital between March 2016 and February 2021 (five years period) were investigated. Nucleic acid isolation was performed on the EZ1 Advanced (Qiagen, Germany) device using the EZ1 Virus Mini Kit by the manufacturer's protocol. Results: HPIV positivity was detected as 4.1% in clinical samples and, the most common HPIV type was found to be HPIV-3 (55%). The distribution of other HPIV types were; HPIV-2, HPIV-4 and HPIV-1 with 26%, 23% and 14%, respectively. HPIV-3 is the most common type in 2016, 2017, 2018 and 2019; however, HPIV-1 is the most common type in 2020. HPIVs co-infection was detected with other respiratory tract viruses in 51% of samples. The highest HPIV co-infection was detected in Rhinovirus. The highest HPIV positivity rate (45%) were determined in the 0-2 age group compared to other age groups (p<0.05). The highest positivity rate was in October in the autumn season (p<0.05), the lowest was in January and February in winter. The highest rate (8.1%) of HPIV positivity was found in 2016 and the lowest rate (0.7%) was in 2020. Conclusions: Since it is not possible to diagnose viral etiology of respiratory tract infections based on clinical findings, viral respiratory tract panel and Multiplex real-time PCR test are a fast and useful method in early diagnosis, treatment decision and prevention of unnecessary antibiotic use. HPIVs positivity is seen at higher rates in children aged 0-2 and in autumn months with seasonal differences.

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The novel type coronoviruses spreaded all around the world, and caused a global health problem around the world since 2019. The number of pregnant women infected by new type of coronoviruses have been on the rise. COVID-19 infection in pregnancy can be experienced with different symptoms as like asymptomatic infection, mild disease (no evidence of pneumonia or hypoxia), moderate disease (viral pneumonia), severe disease (severe pneumonia) or critical illness (acute respiratory distress syndrome, sepsis, septic shock, or complications such pulmonary embolism or acute coronary syndrome). Fortunately, most pregnant women infected with SARS-CoV-2 are asymptomatic, and most symptomatic women experience only mild or moderate cold/flu-like symptoms. The effect of these viruses on the fetus, virus transmission from mother to baby and the protective role of antibodies are not clear yet. Although, the majority of newborns were asymptomatic; tachypnea, most likely secondary to transient tachypnea observed as the most common symptom. On the other hand, late complications of the Coronovirus disease-19 can be presented in some organs and/or systems like heart, brain, lung, gastrointestinal system. Here described a case, whose got Coronovirus disease-19 during third trimester of the pregnancy with transient cardiac dysrhythmia after Coronovirus disease-19.