Styliani Sarrou

Dr. Styliani Sarrou

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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9 December 2015 in BMC Infectious Diseases
Verified
Journal Article
Open access
PDF file
OOO. Oikonomou
O. Oikonomou
Styliani SarrouStyliani Sarrou
Styliani Sarrou
Constantinos PapagiannitsisConstantinos Papagiannitsis
Constantinos Papagiannitsis
SGS. Georgiadou
S. Georgiadou
KMKonstantinos Mantzarlis
Konstantinos Mantzarlis
Efthymia PetinakiEfthymia Petinaki
Efthymia Petinaki
Colistin-resistant/carbapenem-resistant Acinetobacter baumannii is a significant challenge for antibiotic treatment and infection control policies. Since 2012, in Central Greece an increase of colistin/pan- resistant A. baumannii has occurred, indicating the need for further analysis. A total of 86 colistin-resistant/carbapenem-resistant out of 1228 A. baumannii clinical isolates, consecutively collected between 2012 and 2014 in a tertiary Greek hospital of Central Greece, as well as one environmental isolate from surveillance cultures were studied. Molecular typing and mechanisms of resistance to colistin and to carbapenems were assessed, whereas, epidemiological and clinical data of the patients were reviewed. During the study period, the rate of colistin resistance gradually increased and reached 21.1 % in 2014. All colistin-resistant/carbapenem-resistant A. baumannii belonged to 3LST ST101 clone that corresponds to the international clonal lineage II. Carbapenem resistance was associated with the presence of bla oxa-23-like, while resistance to colistin probably correlated with G54E and R109H amino acid substitutions in PmrA and PmrC, respectively. Epidemiological data of the patients indicated that the first detection of colistin-resistant/carbapenem-resistant ST101 clone in the University Hospital of Larissa (UHL) was associated with a patient who previously had received colistin, while, the movement of the infected patients into the hospital probably resulted to its spread.

1 August 2018 in Journal of Dairy Science
Verified
Journal Article
Closed access
NVN.G.C. Vasileiou
N.G.C. Vasileiou
PCP.J. Cripps
P.J. Cripps
KIK.S. Ioannidi
K.S. Ioannidi
DCDimitrios C. Chatzopoulos
Dimitrios C. Chatzopoulos
DGD.A. Gougoulis
D.A. Gougoulis
George C. FthenakisGeorge C. Fthenakis
George C. Fthenakis
The objectives of this work were (1) to investigate prevalence of subclinical mastitis, (2) to identify etiological agents involved, and (3) to study factors potentially predisposing ewes to subclinical mastitis. Milk samples were collected from 2,198 ewes in 111 farms with a total population of 35,925 ewes, in all 13 administrative regions of Greece, for bacteriological and cytological examination. Prevalence of subclinical mastitis was 0.260. Main etiological agents were staphylococci (Staphylococcus aureus and coagulase-negative species), which accounted for 0.699 of all isolates recovered; prevalence of staphylococcal mastitis was 0.191. In a multivariable mixed-effects analysis, the primary factor found to be associated with increased prevalence of subclinical mastitis was the management system practiced in flocks (flocks under a semi-intensive system had the highest prevalence). Other factors that were included in the multivariable model were the stage of lactation period (ewes in the 2nd month postpartum showed the highest prevalence) and application of postmilking teat dipping. In contrast, measures taken at the end of a lactation period (e.g., intramammary administration of antimicrobial agents) were not found to have an effect on prevalence of subclinical mastitis. The results confirmed the significance of subclinical mastitis as a frequent problem of ewes, with staphylococci as the primary etiological agent. The findings confirm the multifactorial nature of subclinical mastitis and indicate that its control should rely on many approaches.

1 April 2016 in Preventive Veterinary Medicine
Verified
Journal Article
Closed access
EDEleanna Drougka
Eleanna Drougka
AFAntigoni Foka
Antigoni Foka
CKChristos K. Koutinas
Christos K. Koutinas
Eleni JelastopuluEleni Jelastopulu
Eleni Jelastopulu
NGNikolaos Giormezis
Nikolaos Giormezis
ISIris Spiliopoulou
Iris Spiliopoulou

1 March 2017 in Diagnostic Microbiology and Infectious Disease
Verified
Journal Article
Closed access
Constantinos PapagiannitsisConstantinos Papagiannitsis
Constantinos Papagiannitsis
EME. Malli
E. Malli
ZFZ. Florou
Z. Florou
Styliani SarrouStyliani Sarrou
Styliani Sarrou
JHJaroslav Hrabák
Jaroslav Hrabák
Efthymia PetinakiEfthymia Petinaki
Efthymia Petinaki

1 December 2017 in Journal of Global Antimicrobial Resistance
Verified
Journal Article
Closed access
Constantinos PapagiannitsisConstantinos Papagiannitsis
Constantinos Papagiannitsis
EME. Malli
E. Malli
ZFZ. Florou
Z. Florou
MMM. Medvecky
M. Medvecky
Styliani SarrouStyliani Sarrou
Styliani Sarrou
Efthymia PetinakiEfthymia Petinaki
Efthymia Petinaki

22 August 2023 in Viruses
Verified
Journal Article
Open access
PDF file
EBEvangelos Thomas Bakaros
Evangelos Thomas Bakaros
Ioanna VoulgaridiIoanna Voulgaridi
Ioanna Voulgaridi
VPVassiliki Paliatsa
Vassiliki Paliatsa
NGNikolaos K Gatselis
Nikolaos K Gatselis
GGGeorgios Germanidis
Georgios Germanidis
MSMatthaios Speletas
Matthaios Speletas
COVID-19 is characterized by a heterogeneous clinical presentation and prognosis. Risk factors contributing to the development of severe disease include old age and the presence of comorbidities. However, the genetic background of the host has also been recognized as an important determinant of disease prognosis. Considering the pivotal role of innate immunity in the control of SARS-CoV-2 infection, we analyzed the possible contribution of several innate immune gene polymorphisms (including TLR2-rs5743708, TLR4-rs4986790, TLR4-rs4986791, CD14-rs2569190, CARD8-rs1834481, IL18-rs2043211, and CD40-rs1883832) in disease severity and prognosis. A total of 249 individuals were enrolled and further divided into five (5) groups, according to the clinical progression scale provided by the World Health Organization (WHO) (asymptomatic, mild, moderate, severe, and critical). We identified that elderly patients with obesity and/or diabetes mellitus were more susceptible to developing pneumonia and respiratory distress syndrome after SARS-CoV-2 infection, while the IL18-rs1834481 polymorphism was an independent risk factor for developing pneumonia. Moreover, individuals carrying either the TLR2-rs5743708 or the TLR4-rs4986791 polymorphisms exhibited a 3.6- and 2.5-fold increased probability for developing pneumonia and a more severe disease, respectively. Our data support the notion that the host’s genetic background can significantly affect COVID-19 clinical phenotype, also suggesting that the IL18-rs1834481, TLR2-rs5743708, and TLR4-rs4986791 polymorphisms may be used as molecular predictors of COVID-19 clinical phenotype.