Peter Takacs

Prof. Dr. Peter Takacs


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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6 December 2023 in Science Translational Medicine
Verified
Journal Article
Open access
ERElena Roselletti
Elena Roselletti
EPEva Pericolini
Eva Pericolini
ANAlexandre Nore
Alexandre Nore
PTPeter Takacs
Peter Takacs
BKBence Kozma
Bence Kozma
DWDuncan Wilson
Duncan Wilson
Candida causes an estimated half-billion cases of vulvovaginal candidiasis (VVC) every year. VVC is most commonly caused by Candida albicans , which, in this setting, triggers nonprotective neutrophil infiltration, aggressive local inflammation, and symptomatic disease. Despite its prevalence, little is known about the molecular mechanisms underpinning the immunopathology of this fungal infection. In this study, we describe the molecular determinant of VVC immunopathology and a potentially straightforward way to prevent disease. In response to zinc limitation, C. albicans releases a trace mineral binding molecule called Pra1 (pH-regulated antigen). Here, we show that the PRA1 gene is strongly up-regulated during vaginal infections and that its expression positively correlated with proinflammatory cytokine concentrations in women. Genetic deletion of PRA1 prevented vaginal inflammation in mice, and application of a zinc solution down-regulated expression of the gene and also blocked immunopathology. We also show that treatment of women suffering from recurrent VVC with a zinc gel prevented reinfections. We have therefore identified a key mediator of symptomatic VVC, giving us an opportunity to develop a range of preventative measures for combatting this disease.

1 April 2013 in Anesthesiology
Verified
Journal Article
Open access
PDF file
YZYan Ping Zhang
Yan Ping Zhang
AEAriel Eber
Ariel Eber
YYYue Yuan
Yue Yuan
Zhe YangZhe Yang
Zhe Yang
YRYiliam Rodriguez
Yiliam Rodriguez
KCKeith A. Candiotti
Keith A. Candiotti
Background: Oxidative stress is a key factor implicated in the development of diabetic neuropathy. This study evaluates the prophylactic and antinociceptive effects of the antioxidant coenzyme Q10 (CoQ10) on diabetes-induced neuropathic pain in a diabetic mouse model. Methods: Total 56 mice with type 1 diabetes induced by streptozotocin were used, 20 normal mice were used as control. Mechanical and thermal nociceptive behavioral assays were applied to evaluate diabetic neuropathic pain. Tissue lipid peroxidation, immunohistochemistry, reverse transcription, and polymerase chain reaction were used to evaluate the molecular mechanisms of CoQ10. Data are presented as mean ± SEM. Results: CoQ10 administration was associated with reduced loss of body weight compared with nontreated diabetic mice, without affecting blood glucose levels. Low dose and long-term administration of CoQ10 prevented the development of neuropathic pain. Treatment with CoQ10 produced a significant dose-dependent inhibition of mechanical allodynia and thermal hyperalgesia in diabetic mice. Dorsal root ganglia, sciatic nerve, and spinal cord tissues from diabetic mice demonstrated increased lipid peroxidation that was reduced by CoQ10 treatment. CoQ10 administration was also noted to reduce the proinflammatory factors in the peripheral and central nervous system. Conclusions: The results of this study support the hypothesis that hyperglycemia induced neuronal oxidative damage and reactive inflammation may be pathogenic in diabetic neuropathic pain. CoQ10 may be protective by inhibiting oxidative stress and reducing inflammation by down-regulating proinflammatory factors. These results suggest that CoQ10 administration may represent a low-risk, high-reward strategy for preventing or treating diabetic neuropathy.

9 January 2020 in Lasers in Surgery and Medicine
Verified
Journal Article
Closed access
PDF file
PTPeter Takacs
Peter Takacs
ASAttila G Sipos
Attila G Sipos
BKBence Kozma
Bence Kozma
TCTina D. Cunningham
Tina D. Cunningham
KLKindra Larson
Kindra Larson
RPRobert Poka
Robert Poka

1 January 2019 in Journal of Menopausal Medicine
Verified
Journal Article
Open access
PDF file
PTPeter Takacs
Peter Takacs
BKBence Kozma
Bence Kozma
BEBalazs Erdodi
Balazs Erdodi
AJAttila Jakab
Attila Jakab
KLKindra Larson
Kindra Larson
RPRobert Poka
Robert Poka
Takacs P, et al. J Menopausal Med. 2019 Apr;25(1):63-68. https://doi.org/10.6118/jmm.2019.25.1.63

18 December 2013 in Human Reproduction
Verified
Journal Article
Open access
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JZJ Zee
J Zee
MSMary Sammel
Mary Sammel
KCK Chung
K Chung
PTPeter Takacs
Peter Takacs
TBT Bourne
T Bourne
KBK T Barnhart
K T Barnhart
Are there improvements in the accuracy of prediction of ectopic pregnancy (EP) in women with early symptomatic pregnancy using human chorionic gonadotrophin (hCG) curves when clinicians consider visits beyond the first 48 h after initial presentation? Two hCG values, measured 48 h (2 days) apart, are often not sufficient to accurately predict the outcome of a woman with a pregnancy of unknown location (PUL), but adding a third visit on Day 4 or 7 significantly improved the prediction for 1 in 15 women. The use of serial hCG values is commonly used to aid in the prediction of the final diagnosis in women with a PUL. Initial outcome predictions based on two hCG values may often be incorrect. This retrospective multicenter cohort study included 646 women with a PUL, recruited over 2 years. Of these women, 146 were ultimately diagnosed with EP. Women presenting to the emergency room with first trimester pain or bleeding, with a PUL, at least 2 hCG values and a definitive final diagnosis from the University of Pennsylvania, University of Miami and University of Southern California, were recruited from 2007 to 2009. Using currently recommended prediction rules, adding a third hCG evaluation on Day 4 after initial presentation significantly improved the accuracy of initial prediction from the first two values (48 h apart, or Day 2) by 9.3% (P = 0.015). Adding a third value on Day 7 improved prediction significantly by 6.7% (P = 0.031), compared with prediction based on first two values. The improvement in prediction by assessing four hCG values (Days 0, 2, 4 and 7) compared with three values (Days 0, 2 and 4) was 1.3% and not statistically significant. Missing data imputation likely biased results toward the null; predicted outcomes may not match those made by clinicians; and the study does not predict intrauterine pregnancy and spontaneous miscarriage separately. This study provides useful information for the prediction of outcomes for women with a symptomatic first trimester pregnancy of unknown location, but may not be generalizable to all pregnant women. Supported by NIH grant numbers R01-HD036455 to Dr Barnhart and Dr Sammel, K24HD060687 to Dr Barnhart, and 5T32MH065218 to Ms. Zee. The authors have no conflicts of interest to declare.

1 January 2010 in Journal of Smooth Muscle Research
Verified
Journal Article
Open access
PDF file
PTPeter Takacs
Peter Takacs
YZYanping Zhang
Yanping Zhang
SJSindy Jaramillo
Sindy Jaramillo
TBTarek Bardawil
Tarek Bardawil
KCKeith Candiotti
Keith Candiotti
CMCarlos. A. Medina
Carlos. A. Medina
Objective: To measure the effects of estrogen, progesterone and polypropylene mesh on vaginal smooth muscle cell proliferation. Methods: Primary smooth muscle cell (SMC) cultures were performed from vaginal biopsies which were then incubated with estradiol (0.1 μM, 1 μM, 10 μM), progesterone (5 nM, 50 nM, 0.5 μM), or polypropylene mesh to assess cell proliferation. Results: In vitro vaginal SMC proliferation was significantly increased by estradiol but not by progesterone or by polypropylene mesh (relative cell number, mean ± SD, control vs. estrogen 0.24 ± 0.02 vs. 0.28 ± 0.02, P=0.01; control vs. progesterone 0.24 ± 0.02 vs. 0.23 ± 0.02, P=NS and control vs. mesh, 0.24 ± 0.02 vs. 0.24 ± 0.01, P=NS). In addition, estradiol increased cell proliferation in a dose responsive fashion (estradiol dose: 0.1 μM, 1 μM, 10 μM) compared to control (P=0.01). Conclusion: Vaginal SMC proliferation is significantly increased by estrogen.