Mila Janjic Rankovic

Dr. Mila Janjic Rankovic


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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Journal Article
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Changyun SunChangyun Sun
Changyun Sun
MRMila Janjic Rankovic
Mila Janjic Rankovic
MFMatthias Folwaczny
Matthias Folwaczny
AWAndrea Wichelhaus
Andrea Wichelhaus
SOSven Otto
Sven Otto
UBUwe Baumert
Uwe Baumert
This study aimed to investigate the effects of different magnitudes and durations of static tensile strain on human periodontal ligament cells (hPDLCs), focusing on osteogenesis, mechanosensing and inflammation. Static tensile strain magnitudes of 0%, 3%, 6%, 10%, 15% and 20% were applied to hPDLCs for 1, 2 and 3 days. Cell viability was confirmed via live/dead cell staining. Reference genes were tested by reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) and assessed. The expressions of TNFRSF11B, ALPL, RUNX2, BGLAP, SP7, FOS, IL6, PTGS2, TNF, IL1B, IL8, IL10 and PGE2 were analyzed by RT-qPCR and/or enzyme-linked immunosorbent assay (ELISA). ALPL and RUNX2 both peaked after 1 day, reaching their maximum at 3%, whereas BGLAP peaked after 3 days with its maximum at 10%. SP7 peaked after 1 day at 6%, 10% and 15%. FOS peaked after 3 days with its maximum at 3%, 6% and 15%. The expressions of IL6 and PTGS2 both peaked after 1 day, with their minimum at 10%. PGE2 peaked after 1 day (maximum at 20%). The ELISA of IL6 peaked after 3 days, with the minimum at 10%. In summary, the lower magnitudes promoted osteogenesis and caused less inflammation, while the higher magnitudes inhibited osteogenesis and enhanced inflammation. Among all magnitudes, 10% generally caused a lower level of inflammation with a higher level of osteogenesis.

Verified
Journal Article
Open access
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Jan KühnischJan Kühnisch
Jan Kühnisch
MRMila Janjic Rankovic
Mila Janjic Rankovic
SKSvetlana Kapor
Svetlana Kapor
PSPD Ina Manuela Schüler
PD Ina Manuela Schüler
FKFelix Krause
Felix Krause
MHMarie-Charlotte Huysmans
Marie-Charlotte Huysmans
Caries diagnostic studies differ with respect to their design, included patients/tooth samples, use of diagnostic and reference methods, calibration, blinding and data reporting. Such heterogeneity makes comparisons between studies difficult and could represent a substantial risk of bias (RoB) when it is not identified. Therefore, the present report aims to describe the development and background of a RoB assessment tool for caries diagnostic studies. The expert group developed and agreed to use a RoB assessment tool during three workshops. Here, existing instruments (e.g., QUADAS 2 and the Joanna Briggs Institute Reviewers’ Manual) influenced the hierarchy and phrasing of the signalling questions that were adapted to the specific dental purpose. The tailored RoB assessment tool that was created consists of 16 signalling questions that are organized in four domains. This tool considers the selection/spectrum bias (1), the bias of the index (2) and reference tests (3), and the bias of the study flow and data analysis (4) and can be downloaded from the journal website. This paper explores possible sources of heterogeneity and bias in caries diagnostic studies and summarizes the relevant methodological aspects.

3 June 2021 in Medicina
Verified
Journal Article
Open access
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OJOlivera Trickovic Janjic
Olivera Trickovic Janjic
TCTatjana Cvetković
Tatjana Cvetković
BSBranislava Stojković
Branislava Stojković
Rasa MladenovicRasa Mladenovic
Rasa Mladenovic
MRMila Janjic Rankovic
Mila Janjic Rankovic
Objectives: The aim of this study was to compare the values of total antioxidant capacity (TAC), catalase (CAT) and glutathione peroxidase (GPX) in the saliva of children and young teenagers with and without gingivitis. Materials and Methods: A total of 120 children and young teenagers of the mean age of 12.2 participated in the research. Gingival condition was assessed using the Löe and Silness Gingival Index. The subjects were divided into groups of those without gingivitis and those with gingivitis. Samples of unstimulated saliva were collected, and TAC, CAT and GPX were determined spectrophotometrically. Results: By comparing the values of TAC, CAT and GPX in subjects with and without gingivitis, significantly lower values of TAC (p < 0.001) and CAT (p < 0.001) were observed in the group of subjects with gingivitis. The correlation analysis of these values showed a positive correlation in groups of subjects not suffering from gingival inflammation and those with gingival inflammation. Conclusions: The study showed significantly lower values of TAC and CAT in the saliva of subjects with gingivitis. This indicates their possible role as a potential biomarker in the early diagnosis and expression of periodontal disease in children and young teenagers.