Iuliana Denetiu

Mrs. Iuliana Denetiu

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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7 March 2020 in Scientia Pharmaceutica
Verified
Journal Article
Open access
PDF file
HAHeba Almosa
Heba Almosa
MAMihal Alqriqri
Mihal Alqriqri
IDIuliana Denetiu
Iuliana Denetiu
Mohammed BaghdadiMohammed Baghdadi
Mohammed Baghdadi
MAMohammed Alkhaled
Mohammed Alkhaled
SDSamar Damiati
Samar Damiati
Herbal medicine has been in use for centuries for a wide variety of ailments; however, the efficacy of its therapeutic agents in modern medicine is currently being studied. Curcuminoids are an example of natural agents, widely used due to their potential contribution in the prevention and treatment of cancer. In this study, the three main compounds of curcuminoids—curcumin, desmethoxycurcumin, and bisdesmethoxycurcumin—were determined by reversed-phase high performance liquid chromatography (HPLC) to quantify total content in a mixture. Subsequently, the effect of the three curcuminoids, employed as one sample, was evaluated, to study the proliferation, apoptosis, cell cycle, and migration of the human ovarian cancer cell line SKOV-3. The results reveal that curcuminoids inhibit the proliferation of SKOV-3 cells with concentration- and time-dependent mechanisms. The morphological analysis of the treated SKOV-3 cells showed a typical apoptotic phenotype—cell shrinkage and membrane blebbing in a dose-dependent manner. In addition, flow cytometry demonstrated an increase in apoptosis with an IC50 of 30 µM curcuminoids. The migration of SKOV-3 cells was also inhibited, reflected by a decrease in wound area. Furthermore, the curcuminoids were found to have no stimulation effect on the expression of cytokines TNF-α and IL-10. These results suggest that a curcuminoid mixture can effectively suppress epithelial cancer cell growth in vitro by inducing cellular changes and apoptosis.

6 January 2022 in Journal of Infection and Public Health
Verified
Journal Article
Open access
LDLaila A. Damiati
Laila A. Damiati
SBSami Mohammed Bahlas
Sami Mohammed Bahlas
AAAhmed Aljohaney
Ahmed Aljohaney
YBYasser Bawazir
Yasser Bawazir
MMMohammad Mustafa
Mohammad Mustafa
PPPeter Pushparaj
Peter Pushparaj
The current coronavirus pandemic (COVID-19) was caused by severe acute respiratory syndrome virus 2 (SARS-CoV-2). COVID-19 is characterized by atypical pneumonia, mild colds, and more severe illnesses, such as severe acute respiratory distress, thrombosis, organ failure, and various secondary bacterial and fungal infections. Notably, the severity of COVID-19 in different age groups is not well known, and the validity of clinical laboratory data remains unclear. In this retrospective cross-sectional study, we examined differential regulation of clinical, hematologic, and inflammatory biomarkers in COVID-19 patients. We divided 104 COVID-19 patients into five different groups according to age (0−17, 18−45, 46−65, 66−79, and >80 years). Baseline data (sex, comorbidities, intensive care admission, and medications), hematologic markers, liver, and renal function tests, coagulation, and inflammatory markers were examined in these groups. Receiver operator characteristic (ROC) analysis was used to determine the optimal threshold for predicting COVID-19 biological markers. We found that the highest percentage (45%) of COVID-19 patients was in the age group of 46−65 years. The hematologic parameters (WBC, HB, and PLT) were normal between the patient groups. The area under the curve in ROC analysis showed significant differences in the levels of creatine, GGT, BUN, CRP, D-dimer, ferritin, AST, and procalcitonin between the patients of age groups 46−65 and 66−79 years. Renal biomarkers were significantly high in most patients, regardless of age. In contrast, the liver biomarkers, did not differ significantly between patient groups. The main finding of our study is that laboratory parameters such as GGT, creatinine, BUN, CRP, procalcitonin, ferritin and D-dimer were differentially regulated in COVID -19 patients of different age groups. Importantly, these laboratory parameters may help as clinical predictors to assess the severity of the disease in the population. We conclude here that age is an important factor influencing COVID-19 severity.

20 January 2022 in Vaccines
Verified
Journal Article
Open access
PDF file
OROsman Radhwi
Osman Radhwi
HJHamza Jan
Hamza Jan
AWAbdullah Waheeb
Abdullah Waheeb
SASawsan S. Alamri
Sawsan S. Alamri
HAHatem Alahwal
Hatem Alahwal
AHAnwar Hashem
Anwar Hashem
Introduction: Studies assessing immune responses following Pfizer-BioNTech BNT162b2 mRNA COVID-19 (Pfizer) and ChAdOx1 nCoV-19 AZD1222 (AstraZeneca) vaccines in patients with hemoglobinopathy are non-existent in the literature despite being thought at high risk of infection. Methods: Prospectively, we collected serum from patients with hemoglobinopathies at least 14 days post vaccine and measured neutralizing antibodies (nAb) in addition to binding antibodies using in-house assays. Results: All 66 participants mounted a significant binding antibody response (100%), but nAbs were detected in (56/66) post-vaccine with a rate of 84.5%. Age, gender, vaccine type, spleen status, hydroxyurea use, and hyperferritinemia did not affect the rate significantly. While 23/32 (71.8%) patients receiving only one dose of the vaccine were able to mount a positive response, 33/34 (97.05%) of those who had two doses of any vaccine type had a significant nAbs response. Patients who had anti-nucleocapsid (N), signifying asymptomatic infection in the past, were able to produce nAbs (31/31). No nAbs were detected in 10/35 (28.5%) patients with no anti-N antibodies. Conclusion: Our results provide supportive data when advising patients with hemoglobinopathy to receive COVID-19 vaccines and ensure booster doses are available for better immunity. Whenever available, measurement of nAb is recommended.

1 January 2017 in HETEROCYCLES
Verified
Journal Article
Open access
HHHani Mutlak A. Hassan
Hani Mutlak A. Hassan
IDIuliana Denetiu
Iuliana Denetiu
KSKaltoom Sakkaf
Kaltoom Sakkaf
Khalid Ali KhanKhalid Ali Khan
Khalid Ali Khan
PPPeter Pushparaj
Peter Pushparaj
GKGauthaman Kalamegam
Gauthaman Kalamegam