MERIAM ZRIBI

Dr. MERIAM ZRIBI

orcid

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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1 September 2021 in Infectious Diseases Now
Verified
Journal Article
Closed access
HBHajer Battikh
Hajer Battikh
ABA. Berriche
A. Berriche
RZR. Zayoud
R. Zayoud
LAL. Ammari
L. Ammari
RAR. Abdelmalek
R. Abdelmalek
MZMERIAM ZRIBI
MERIAM ZRIBI

11 October 2022 in Antibiotics
Verified
Journal Article
Open access
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SFSana Ferjani
Sana Ferjani
EMElaa MAAMAR
Elaa MAAMAR
AFAsma Ferjani
Asma Ferjani
KMKhaoula Meftah
Khaoula Meftah
HBHajer Battikh
Hajer Battikh
IBIlhem Boutiba
Ilhem Boutiba
Background: Actually, no data on the prevalence of plasmid colistin resistance in Tunisia are available among clinical bacteria. Objectives: This study aimed to investigate the current epidemiology of colistin resistance and the spread of the mcr gene in clinical Gram-negative bacteria (GNB) isolated from six Tunisian university hospitals. Methods: A total of 836 GNB strains were inoculated on COL-R agar plates with selective screening agar for the isolation of GNB resistant to colistin. For the selected isolates, mcr genes, beta-lactamases associated-resistance genes and molecular characterisation were screened by PCRs and sequencing. Results: Colistin-resistance was detected in 5.02% (42/836) of the isolates and colistin-resistant isolates harboured an ESBL (blaCTX-M-15) and/or a carbapenemase (blaOXA-48, blaVIM) encoding gene in 45.2% of the cases. The mcr-1 gene was detected in four E. coli isolates (0.59%) causing urinary tract infections and all these isolates also contained the blaTEM-1 gene. The blaCTX-M-15 gene was detected in three isolates that also carried the IncY and IncFIB replicons. The genetic environment surrounding the mcr-carrying plasmid indicated the presence of pap-2 gene upstream mcr-1 resistance marker with unusual missing of ISApl1 insertion sequence. The Conclusions: This study reports the first description of the mcr-1 gene among clinical E. coli isolates in Tunisia and provides an incentive to conduct routine colistin susceptibility testing in GNB clinical isolates.

23 January 2025 in Microorganisms
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Journal Article
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AFAsma Ferjani
Asma Ferjani
HBHellen Buijze
Hellen Buijze
GKGermán Kopprio
Germán Kopprio
SKSusanne Melanie Köhler
Susanne Melanie Köhler
ARAmel Rehaiem
Amel Rehaiem
IBIlhem Boutiba - Ben Boubaker
Ilhem Boutiba - Ben Boubaker
Brucellosis represents a significant global health concern that is endemic in many regions of the world, especially in Maghreb (Tunisia, Morocco and Algeria). In Tunisia the diagnosis of human brucellosis is primarily based on serological tests and cultivation of the causative pathogen, without the knowledge of the underlying Brucella species or biovar. In addition, the scarcity of laboratories with adequate biosecurity measures to handle suspected specimens constitutes a significant challenge. Furthermore, the absence of full genome data limits our understanding of the genetic diversity of Brucella in Tunisia in comparison to the strains circulating in the North African region and the world. In the present study, a total of 36 bacterial isolates derived from human patients diagnosed with brucellosis in Tunisia were subjected to examination. Real-time PCR confirmed all isolates as B. melitensis. In the subsequent core genome-based MLST analysis (cgMLST) based on 2706 target genes, the isolates formed two separate but closely related clusters with a distance of 140 alleles. The intra-cluster diversity was one to six alleles. In the larger geographical context and in comparison to almost 1000 other Brucella genomes, the isolates showed the highest genetic relationship to B. melitensis isolates from Italy and Egypt with distances of 130 and 150 alleles, respectively. All the isolates were most similar to the biovar 3 genotype. Markedly, strains from a reported brucellosis outbreak in Austria were grouped closely (26 and 27 alleles, respectively) together with strains from Tunisia, suggesting that this country may represent their geographical origin. This research represents a significant advancement in our understanding of B. melitensis strains circulating in the Maghreb region, as it is the first study to elucidate the molecular characterization of strains isolated from humans in Tunisia. The cgMLST analysis of the strains provided information on the regional distribution of the strains and the association with neighboring countries and significant outbreaks in the region. The data will form the basis of a future reference framework for strains circulating in the Mediterranean region.

10 February 2025 in Antibiotics
Verified
Journal Article
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NANourelhouda Ben Ayed
Nourelhouda Ben Ayed
OGOmar Gargouri
Omar Gargouri
SMSamar MHIMDI
Samar MHIMDI
FSFahmi Smaoui
Fahmi Smaoui
EMEmna Mhiri
Emna Mhiri
AHAdnene Hammami
Adnene Hammami
Background/Objectives: Streptococcus pneumoniae is a leading respiratory pathogen responsible for significant morbidity and mortality, particularly among vulnerable populations. Understanding its antimicrobial resistance patterns and serotype distribution is crucial for guiding treatment and prevention strategies. This study aims to examine these trends in S. pneumoniae isolates from Tunisia over a two-decade period (2000–2019). Methods: A retrospective time series analysis was conducted on data (n = 4284) gathered from eight university hospital centers across Tunisia. Antimicrobial susceptibility testing was performed according to the European Committee on Antimicrobial Susceptibility Testing (EUCAST) guidelines. Pneumococcal serotypes were determined for a subset of samples from 2012 to 2019 (n = 903) using multiplex PCR and latex agglutination. Results: Penicillin G resistance decreased from 9–13.7% during 2000–2002 to 4.3% by 2019, while amoxicillin resistance increased until reaching 10% in 2019. Erythromycin resistance initially increased before stabilizing between 61.9% and 66.3% during 2014–2019, whereas tetracycline resistance declined from 2000 to 2008 and fluctuated around 40% during 2009–2019. Levofloxacin resistance did not exceed 1.2% throughout the study period. The most prevalent serotypes were 14, 19F, 19A, 23F, 3, 6B, 6A, and 9V. Among them, serotype 3 was the most susceptible overall. Serotypes 23F, 14, 9V, and 6B displayed the highest levels of multi-drug resistance. Conclusions: Penicillin G (high-dosage), cefotaxime, and levofloxacin are still effective against most S. pneumoniae strains in Tunisia, while erythromycin and tetracycline are not reliable options for treating pneumococcal infections. Alarming resistance rates among prevalent serotypes, except serotype 3, underscore the need for preventive measures, rational antibiotic use, and ongoing surveillance.

29 June 2025 in Antibiotics
Verified
Journal Article
Open access
PDF file
LKLamia Kanzari
Lamia Kanzari
SFSana Ferjani
Sana Ferjani
BMBasma Mnif
Basma Mnif
FMFaouzia Mahjoubi
Faouzia Mahjoubi
MZMERIAM ZRIBI
MERIAM ZRIBI
IBIlhem Boutiba
Ilhem Boutiba
Background/Objectives: As antimicrobial resistance patterns of Gram-negative bacteria change over time, this study aimed to analyze the antimicrobial susceptibility trends of Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii isolates in Tunisia. Methods: From 1999 to 2019, non-duplicate isolates of Gram-negative bacteria were collected from 11 Tunisian hospitals as part of an antimicrobial resistance surveillance program. Antimicrobial susceptibility testing was performed using the disk diffusion method according to the European Committee on Antimicrobial Susceptibility Testing guidelines. Results: Out of 213,434 isolates collected during the study period, 58.8% were E. coli, 22% were K. pneumoniae, 14.4% were A. baumannii, and 4.8% were P. aeruginosa, with 67% of the isolates sourced from urine samples. E. coli showed a significant increase in resistance to third-generation cephalosporins (3GC), from 5.4% in 2004 to 16.5% in 2019, but K. pneumoniae displayed a rising trend of resistance to imipenem, from 1% in 2005 to 18.6% in 2019; meanwhile, amikacin remained effective against K. pneumoniae isolates. P. aeruginosa did not exhibit a significant change in resistance to imipenem. A. baumannii had a high resistance rate to imipenem that increased from 34.5% in 2008 to 84.2% in 2019 and had low susceptibility rates to all other antibiotics tested. Conclusions: This study reveals high carbapenem resistance among K. pneumoniae and A. baumannii in Tunisia. A. baumannii shows alarming multidrug resistance that requires urgent control measures.

Verified
Journal Article
Open access
PDF file
LKLamia Kanzari
Lamia Kanzari
SFSana Ferjani
Sana Ferjani
KMKhaoula Meftah
Khaoula Meftah
MZMERIAM ZRIBI
MERIAM ZRIBI
SMSenda Maalej Mezghani
Senda Maalej Mezghani
IBIlhem Boutiba
Ilhem Boutiba
The antimicrobial resistance (AMR) surveillance network has been monitoring bloodstream bacterial pathogens and their resistance since 1999 in Tunisia. We report the long-term trends in the distribution of bloodstream bacterial pathogens and their resistance patterns from this surveillance database. We analyzed antibiotic resistance rates in 11 tertiary teaching hospital laboratories under the AMR surveillance network during 2011–2023, focusing on six priority bacterial pathogens, using the Cochrane–Armitage test for trend analysis. Of 22,795 isolates, K. pneumoniae (38.5%) was the most common, followed by S. aureus (20.4%), E. coli (13.6%), and A. baumannii (10.3%). Carbapenem resistance was highest in A. baumannii (77%), followed by Pseudomonas aeruginosa (29.3%), K. pneumoniae (19.4%), and Enterobacter cloacae (6.8%). Carbapenem-resistant Enterobacterales and third-generation cephalosporin-resistant Enterobacterales (3GCREB) increased from 10.6% to 26.3% (p-value < 0.001), and from 39% to 50.2%, respectively, during 2011–2023 (p-value < 0.001). Vancomycin resistance (38.3%) and the emergence of linezolid resistance in 2019 (2.4%) were reported in E. faecium isolates. Resistance to carbapenems and 3GC is a major challenge to controlling BSI in Tunisia. The national AMR surveillance network helps monitor annual patterns and guides empirical therapy. An integrated database combining clinical profiles and resistance data via real-time data-sharing platforms could improve clinical decision-making.