Sema Alacam

Dr. Sema Alacam


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 August 2021 in The Journal of Infection in Developing Countries
Verified
Journal Article
Open access
PDF file
SASema Alacam
Sema Alacam
ABAyfer Bakir
Ayfer Bakir
Introduction: Human papillomavirus (HPV) is the most common sexually transmitted infection agent worldwide and, with high-risk (HR) HPV genotypes, is the main factor for development of cervical cancer. This study aimed to assess the prevalence of HPV and distribution of HR-HPV genotypes in cervical swab samples and compare them with demographic and clinical data. Methodology: Cervical swab samples of 2,285 women between the age of 17 and 76 were assessed between January 2018 and October 2020 in order to obtain the data of Turkey. Fifteen different HR-HPV genotypes were determined using multiplex real-time polymerase chain reaction test. Results: HPV was positive in 36.3% (829/2,285) of DNA samples. Prevalence of multiple HR-HPV infection was 40.7%. Of the women, 30.9% (256/829) were infected with HPV16, 14.6% (121/829) with HPV39, and 14.2% (118/829) with HPV51. The most frequently detected genotypes with HPV16 were HPV31, HPV39 and HPV52, respectively. In women with cervical dysplasia, HPV16, 31, and 39 were the most common, and in women with genital warts, HPV16, 59 and 66 were most common, respectively. The highest HR-HPV prevalence was detected in the 17-34 age group (44.1%) (p < 0.001). Conclusions: The prevalence of HR-HPV was 36.3% in this study. High prevalence (44.1%) especially in young women was consistent with findings in literature. The most common HR-HPV genotypes were HPV16, 39 and 51, respectively. Determining the prevalence and genotypes of HR-HPV playing role in the etiology of cervical cancer will be guiding for measures on prevention of cervical cancer and research on preventive vaccines.

22 May 2024 in Diagnostics
Verified
Journal Article
Open access
PDF file
NKNuran Karabulut
Nuran Karabulut
SASema Alacam
Sema Alacam
EŞEsranur Şen
Esranur Şen
MKMehmet Karabey
Mehmet Karabey
NYNurhayat Yakut
Nurhayat Yakut
Respiratory tract infections (RTIs) can lead to both recurrent seasonal epidemic outbreaks and devastating pandemics. The aim of this study was to evaluate the epidemiologic characteristics and pathogen spectrum of RTIs using a multiplex RT-PCR panel. A total of 9354 cases with suspected RTIs between February 2021 and July 2023 were included in this study. A total of 11,048 nasopharyngeal and oropharyngeal samples from these patients were analyzed for 23 respiratory tract pathogens using multiplex RT-PCR. H. influenzae and S. pneumoniae were considered as colonizing bacteria. At least one pathogen was detected in 70.66% of the samples; viral pathogens were detected in 48.41% of the samples, bacterial pathogens were detected in 16.06% of the samples, and viral + bacterial pathogens were detected in 35.53% of the samples. The most frequently detected viral pathogen was rhinovirus/enterovirus (RV/EV) (19.99%). Interestingly, in 2021, respiratory syncytial virus A/B showed atypical activity and replaced RV/EV as the most prevalent pathogen. Human bocavirus, H. influenzae, and S. pneumoniae were detected at higher rates in males (p: 0.038, p: 0.042, and p: 0.035, respectively), while SARS-CoV-2 and B. pertussis were detected at higher rates in females (p < 0.001 and p: 0.033). RTIs were found at higher rates in children (p < 0.001). SARS-CoV-2 and human coronaviruses 229E were detected at higher rates in adults (p < 0.001 and p: 0.001). This comprehensive study with a large sample size investigating RTI pathogens was the first in Türkiye. Understanding the current viral circulation using multiplex RT-PCR panels enables clinicians to predict the most likely pathogens affecting patients and contributes to patient management, in addition to anticipating potential threats.

1 April 2018 in Indian Journal of Medical Microbiology
Verified
Journal Article
Open access
NKNuran Karabulut
Nuran Karabulut
SASema Alacam
Sema Alacam
AYAyfer Yolcu
Ayfer Yolcu
MOMustafa Onel
Mustafa Onel
AAAli Agacfidan
Ali Agacfidan
The hepatitis C virus (HCV) has seven main genotypes and multiple subtypes. The distribution of HCV genotypes varies across geographical regions worldwide. Updated estimates of HCV genotype distributions have a critical importance for developing strategies to manage or eliminate HCV infection. The aim of this study was to determine the distribution of HCV genotypes in patients with HCV admitted to a university hospital in Istanbul, Turkey. A total of 412 HCV RNA positive patients with 46.6% of males and 53.4% of females between January 2013 and September 2016 were included in the study. Genotyping of HCV of the study population was performed by a commercial reverse hybridisation line probe-based assay. Genotype 1 (82.5%) was dominant genotype, followed by genotype 3 (10.7%), genotype 2 (4.6%) and genotype 4 (2.2%). Among patients with genotype 1, subtype 1a, 1b and undetermined subtype were 6.3%, 38.8% and 37.4%, respectively. It was observed that genotype proportion was dependent on gender and age of the patients. Genotype 1 and genotype 2 were more prevalent in females, whereas genotypes 3 and 4 were more prevalent in males. Genotype 1 in the older patients and genotype 3 in the younger patients were more prevalent. The majority of patients with HCV infection had genotype 1 (82.5%), followed by genotype 3, 2 and 4. Monitoring the change in HCV genotype distribution is critical for the development of effective strategies for HCV elimination.

8 July 2020 in European Journal of Gastroenterology & Hepatology
Verified
Journal Article
Closed access
SASema Alacam
Sema Alacam
NKNuran Karabulut
Nuran Karabulut
ABAyfer Bakir
Ayfer Bakir
MOMustafa Onel
Mustafa Onel
MBMelek Buyuk
Melek Buyuk
AAAli Agacfidan
Ali Agacfidan
Objectives: This study aims to improve the diagnosis of gastrointestinal (GI) cytomegalovirus (CMV) disease. It presents the results of a novel study in which CMV blood viral load (BVL), tissue viral load (TVL) determined by PCR and hematoxylin-eosin (HE)/immunohistochemistry (IHC) results of GI biopsies are examined comparatively. Methods: CMV DNA was investigated by quantitative real-time PCR in blood and GI biopsy specimens of 76 patients suspected of CMV disease. Biopsies were also performed HE/IHC stainings in the pathology laboratory. Results: This study included 76 patients whose median age was 34.5 years and 58% (44) were male. Tissue CMV PCR positivity was detected in the highest colon (40/53;75.5%) samples. HE, IHC, blood and tissue CMV PCR positivity rates of all samples were 15.8, 25, 50 and 71.1%, respectively. When IHC was used as the gold standard test for ROC analysis, the optimal cutoff values for the maximum sensitivity and specificity for BVL and TVL were 1.91 log10 copies/ml and 3.82 log10 copies/mg, respectively. Sensitivity and specificity for the cutoff value of tissue CMV DNA were 78.9 and 74.3%, respectively (P < 0.001). Conclusion: In this study, CMV DNA was detected in 71.1% of the tissue samples of the cases by PCR. Since the sensitivity of the histopathological examinations accepted as the gold standard is low, simultaneous with the histopathological examinations, determination of BVL, TVL and the identification of optimal cutoff values have been shown to support the diagnosis of GI CMV disease.

3 March 2023 in Diagnostics
Verified
Journal Article
Open access
PDF file
HDHarika Öykü Dinç
Harika Öykü Dinç
NKNuran Karabulut
Nuran Karabulut
SASema Alacam
Sema Alacam
Hayriye Kırkoyun UysalHayriye Kırkoyun Uysal
Hayriye Kırkoyun Uysal
Ferhat Osman DaşdemirFerhat Osman Daşdemir
Ferhat Osman Daşdemir
BKBekir Kocazeybek
Bekir Kocazeybek
This study aimed to evaluate the performance characteristics of a rapid antigen test developed to detect SARS-CoV-2 (COVID-19), influenza A virus (IAV), and influenza B virus (IBV) (flu) compared with those of the real-time reverse transcription-polymerase chain reaction (rRT-PCR) method. One hundred SARS-CoV-2, one hundred IAV, and twenty-four IBV patients whose diagnoses were confirmed by clinical and laboratory methods were included in the patient group. Seventy-six patients, who were negative for all respiratory tract viruses, were included as the control group. The Panbio™ COVID-19/Flu A&B Rapid Panel test kit was used in the assays. The sensitivity values of the kit were 97.5%, 97.9%, and 33.33% for SARS-CoV-2, IAV, and IBV, respectively, in samples with a viral load below 20 Ct values. The sensitivity values of the kit were 16.7%, 36.5%, and 11.11% for SARS-CoV-2, IAV, and IBV, respectively, in samples with a viral load above 20 Ct. The kit’s specificity was 100%. In conclusion, this kit demonstrated high sensitivity to SARS-CoV-2 and IAV for viral loads below 20 Ct values, but the sensitivity values were not compatible with PCR positivity for lower viral loads over 20 Ct values. Rapid antigen tests may be preferred as a routine screening tool in communal environments, especially in symptomatic individuals, when diagnosing SARS-CoV-2, IAV, and IBV with high caution.

30 April 2022 in The Journal of Infection in Developing Countries
Verified
Journal Article
Open access
PDF file
SASema Alacam
Sema Alacam
ABAyfer Bakir
Ayfer Bakir
AKAysel Karatas
Aysel Karatas
Introduction: The World Health Organization estimates that 71 million people with chronic HCV infection lived worldwide in 2015. HCV is a globally prevalent pathogen, that genotype1 is the most common. In this study, the prevalence of anti-HCV, distributions of HCV genotype, and viremia rates in patients with chronic hepatitis C were evaluated. Methodology: In this retrospective single-center study, anti-HCV results of 197,081 patients were evaluated between 2017 and 2020. Quantitative HCV-RNA PCR tests were performed on the Rotor-Gene Q real-time PCR instrument. HCV genotypes determination of 546 samples was carried out with the Gen-C 2.0 Reverse Hybridization strip and HCV Genotype Plus Real-TM kit. Results: The prevalence of anti-HCV was 0.95% and viremic HCV infection was 0.3% (610/197,081). HCV viremia rate was 33.17%. HCV viremia rate was highest in 2017 (52.36%) and the lowest in 2020 (18.3%) (p < 0.001). Genotype1 (72%) was the most common genotype, followed by genotype3 (14.1%), and genotype4 (8.8%). The most common subtypes were determined as genotype1b (56.2%) and genotype1a (13.2%). The viral load was higher in patients infected with genotype5. Conclusions: In this study, the rate of viremic HCV infection was found to be 0.3%. This rate was lower than the worldwide rate of HCV viremia. The distribution of HCV genotypes was like the global data. The identification of circulating genotypes and subtypes is essential for epidemiological purposes and remains important in the choice of treatment in patients with chronic HCV.