BERNA SOLAK

Dr. BERNA SOLAK

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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1 January 2017 in Advances in Dermatology and Allergology
Verified
Journal Article
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BSBERNA SOLAK
BERNA SOLAK
BDBahar Sevimli Dikicier
Bahar Sevimli Dikicier
NCNur Cihan Cosansu
Nur Cihan Cosansu
TETeoman Erdem
Teoman Erdem
Introduction : There are a few studies showing an increased risk of insulin resistance, metabolic syndrome, and oxidative stress in patients with vitiligo. Aim : To investigate whether systemic inflammation is increased in vitiligo patients in a case-control study design. Material and...

14 January 2016 in International Urology and Nephrology
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Journal Article
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BSBERNA SOLAK
BERNA SOLAK
SASeyyid Bilal Acikgoz
Seyyid Bilal Acikgoz
SSSavas Sipahi
Savas Sipahi
TETeoman Erdem
Teoman Erdem

11 March 2016 in Photodermatology, Photoimmunology & Photomedicine
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Journal Article
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BSBERNA SOLAK
BERNA SOLAK
BDBahar Sevimli Dikicier
Bahar Sevimli Dikicier
HCHanife Duzgun Celik
Hanife Duzgun Celik
TETeoman Erdem
Teoman Erdem

20 July 2016 in Angiology
Verified
Journal Article
Closed access
BSBERNA SOLAK
BERNA SOLAK
BDBahar Sevimli Dikicier
Bahar Sevimli Dikicier
TETeoman Erdem
Teoman Erdem
Patients with psoriasis have increased systemic inflammation and serum uric acid (SUA) levels compared with the general population. However, the role of SUA in modulating inflammation in these patients is not known. We evaluated the associations of SUA with inflammation and psoriasis severity; 199 patients with psoriasis and 54 healthy volunteers were included in the study. Demographic features, Psoriasis Area and Severity Index (PASI) scores, and laboratory data including SUA, C-reactive protein (CRP), and neutrophil to lymphocyte ratio (NLR) were collected. Patients with psoriasis had higher fasting blood glucose, body mass index (BMI), CRP, SUA, white blood cell (WBC) count, neutrophil count, and NLR compared with controls. The PASI score positively correlated only with CRP (r = .185, P = .012) and NLR (r = .313, P < .001). The BMI, WBC count, PASI score, and CRP, but not SUA, appeared as independent associates of NLR in patients with psoriasis in linear regression analysis. Neutrophil to lymphocyte ratio and SUA were significantly increased in patients with psoriasis compared with controls. Neutrophil to lymphocyte ratio and CRP were independent predictors of PASI score, whereas SUA was not. Serum uric acid seemed not to modulate the inflammation seen in patients with psoriasis in our cohort.

24 October 2024 in Tropical Medicine & International Health
Verified
Journal Article
Open access
BSBERNA SOLAK
BERNA SOLAK
RKRabia Oztas Kara
Rabia Oztas Kara
Background: Psoriasis is a chronic inflammatory disease often associated with serious cardiovascular comorbidities. The aim of this study was to investigate the systemic inflammatory burden in psoriasis by examining various inflammatory markers and to assess the relationship between these markers and the severity of the disease.Methods: This retrospective study was conducted on medical records of patients who visited the dermatology outpatient clinic between 1 January 2016 and 31 December 2022. The study included patients with psoriasis vulgaris and healthy volunteers. Demographic data, Psoriasis Area and Severity Index score, C‐reactive protein, monocyte‐high‐density lipoprotein cholesterol ratio, neutrophil‐to‐lymphocyte ratio, platelet‐to‐lymphocyte ratio, monocyte‐to‐lymphocyte ratio, systemic immune‐inflammation index, and Systemic Inflammation Response Index were analysed and compared.Results: A total of 278 psoriasis patients and 90 healthy volunteers were analysed. Compared to the control group, psoriasis patients showed significantly higher systemic immune‐inflammation index, Systemic Inflammation Response Index, neutrophil‐to‐lymphocyte ratio, monocyte‐high‐density lipoprotein cholesterol ratio, serum C‐reactive protein levels, neutrophil count, monocyte count, body mass index, and waist circumference (p < 0.001, p = 0.001, p < 0.001, p = 0.014, p < 0.001, p < 0.001, p = 0.046, p < 0.001, and p = 0.011, respectively). Among patients with severe psoriasis (Psoriasis Area and Severity Index >10), systemic immune‐inflammation index, neutrophil‐to‐lymphocyte ratio, platelet‐to‐lymphocyte ratio, and serum C‐reactive protein levels were significantly higher compared to patients with mild/moderate psoriasis (Psoriasis Area and Severity Index ≤10). In the ROC curve analysis, the optimal cut‐off (AUC, sensitivity, specificity) values for neutrophil‐to‐lymphocyte ratio, systemic immune‐inflammation index, and platelet‐to‐lymphocyte ratio were found to be 2.11 (0.592, 62%, 57%), 552.9 (0.579, 61%, 58%), and 111.9 (0.578, 64%, 46%), respectively. The inflammatory parameters that showed correlation with Psoriasis Area and Severity Index were systemic immune‐inflammation index, Systemic Inflammation Response Index, neutrophil‐to‐lymphocyte ratio, monocyte‐high‐density lipoprotein cholesterol ratio, monocyte‐to‐lymphocyte ratio, and C‐reactive protein.Conclusion: The findings of this study suggest that systemic immune‐inflammation index, Systemic Inflammation Response Index, neutrophil‐to‐lymphocyte ratio, monocyte‐high‐density lipoprotein cholesterol ratio, and C‐reactive protein values have the potential to serve as simple and cost‐effective markers for assessing the inflammatory burden in individuals with psoriasis.

4 November 2015 in Medical Principles and Practice
Verified
Journal Article
Open access
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BSBERNA SOLAK
BERNA SOLAK
MKMutlu Karkucak
Mutlu Karkucak
HTHakan Turan
Hakan Turan
GOGökhan Ocakoğlu
Gökhan Ocakoğlu
ŞSŞebnem Özemri Sağ
Şebnem Özemri Sağ
TETeoman Erdem
Teoman Erdem
Objective: To determine the role of glutathione S-transferase (GST) isoenzyme polymorphisms as susceptibility factors in patients with psoriasis in a Turkish cohort. Subjects and Methods: In this case-control study, 105 patients with plaque-type psoriasis and 102 healthy controls were recruited from the dermatology outpatient clinics of two university hospitals. Genomic DNA was extracted from whole blood using a DZ DNA isolation kit. Multiplex PCR was used to determine GSTM1 and GSTT1 polymorphisms in the isolated DNAs. Results: Of the 150 patients with psoriasis, 83 (79%) were identified with the GSTT1 genotype and 22 (21%) with the null genotype. Of the 102 patients in the control group, 69 (67.6%) subjects were identified with the GSTT1 genotype and 33 (32.4%) with the null genotype. There was no significant difference between the patient and control groups (p = 0.063). Regarding the GSTM1 polymorphism, 54 (51.4%) patients were identified with this genotype and 51 (48.6%) with the null genotype; in the control group, 50 (49%) were identified with this genotype and 52 (51%) with the null genotype. Again there was no statistically significant difference between the groups (p = 0.957). Conclusion: In this Turkish cohort of patients with psoriasis, neither GSTT1 nor GSTM1 polymorphisms were associated with disease susceptibility. Larger studies with a wider range of GST isoenzyme are needed.