scholarly journals Erratum to “In Vivo Selection of Pan-Drug Resistant Acinetobacter baumannii during Antibiotic Treatment” by Kim Y, et al. (Yonsei Med J 2015;56:928-934.)

2017 ◽  
Vol 58 (2) ◽  
pp. 474
Keyword(s):  
Acinetobacter Baumannii ◽  
Antibiotic Treatment ◽  
Drug Resistant ◽  
In Vivo Selection ◽  
Selection Of

Successful treatment of murine β-thalassemia using in vivo selection of genetically modified, drug-resistant hematopoietic stem cells

Blood ◽  
2003 ◽  
Vol 102 (2) ◽  
pp. 506-513 ◽  
Author(s):  
Derek A. Persons ◽  
Esther R. Allay ◽  
Nobukuni Sawai ◽  
Phillip W. Hargrove ◽  
Thomas P. Brent ◽  
...  
Keyword(s):  
Stem Cells ◽  
Gene Transfer ◽  
Hematopoietic Stem Cells ◽  
Bone Marrow Cells ◽  
Lentiviral Vector ◽  
Drug Resistant ◽  
Hematopoietic Stem ◽  
In Vivo Selection ◽  
Selection Of

AbstractSuccessful gene therapy of β-thalassemia will require replacement of the abnormal erythroid compartment with erythropoiesis derived from genetically corrected, autologous hematopoietic stem cells (HSCs). However, currently attainable gene transfer efficiencies into human HSCs are unlikely to yield sufficient numbers of corrected cells for a clinical benefit. Here, using a murine model of β-thalassemia, we demonstrate for the first time that selective enrichment in vivo of transplanted, drug-resistant HSCs can be used therapeutically and may therefore be a useful approach to overcome limiting gene transfer. We used an oncoretroviral vector to transfer a methylguanine methyltransferase (MGMT) drug-resistance gene into normal bone marrow cells. These cells were transplanted into β-thalassemic mice given nonmyeloablative pretransplantation conditioning with temozolomide (TMZ) and O6-benzylguanine (BG). A majority of mice receiving 2 additional courses of TMZ/BG demonstrated in vivo selection of the drug-resistant cells and amelioration of anemia, compared with untreated control animals. These results were extended using a novel γ-globin/MGMT dual gene lentiviral vector. Following drug treatment, normal mice that received transduced cells had an average 67-fold increase in γ-globin expressing red cells. These studies demonstrate that MGMT-based in vivo selection may be useful to increase genetically corrected cells to therapeutic levels in patients with β-thalassemia.

scholarly journals In Vivo Selection of Reduced Susceptibility to Carbapenems in Acinetobacter baumannii Related to ISAba1-Mediated Overexpression of the Natural blaOXA-66 Oxacillinase Gene

2009 ◽  
Vol 53 (6) ◽  
pp. 2657-2659 ◽  
Author(s):  
Samy Figueiredo ◽  
Laurent Poirel ◽  
Jacques Croize ◽  
Christine Recule ◽  
Patrice Nordmann
Keyword(s):  
Acinetobacter Baumannii ◽  
Reverse Transcription ◽  
Resistance Pattern ◽  
Pcr Analysis ◽  
In Vivo Selection ◽  
Reverse Transcription Pcr ◽  
Naturally Occurring ◽  
Carbapenemase Gene ◽  
Selection Of

ABSTRACT Two clonally related Acinetobacter baumannii isolates, A1 and A2, were obtained from the same patient. Isolate A2, selected after an imipenem-containing treatment, showed reduced susceptibility to carbapenems. This resistance pattern was related to insertion of the ISAba1 element upstream of the naturally occurring bla OXA-66 carbapenemase gene as demonstrated by sequencing, reverse transcription-PCR analysis, and inactivation of the bla OXA-66 gene.

scholarly journals Acinetobacter baumannii Infections in Hospitalized Patients, Treatment Outcomes

Antibiotics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 630
Author(s):  
Diaa Alrahmany ◽  
Ahmed F. Omar ◽  
Gehan Harb ◽  
Wasim S. El El Nekidy ◽  
Islam M. Ghazi
Keyword(s):  
Acinetobacter Baumannii ◽  
Treatment Outcomes ◽  
Antibiotic Treatment ◽  
Financial Burden ◽  
Opportunistic Pathogen ◽  
Hospitalized Patients ◽  
Treatment Regimens ◽  
Serious Infections ◽  
Optimal Approach ◽  
Selection Of

Background Acinetobacter baumannii (AB), an opportunistic pathogen, could develop into serious infections with high mortality and financial burden. The debate surrounding the selection of effective antibiotic treatment necessitates studies to define the optimal approach. This study aims to compare the clinical outcomes of commonly used treatment regimens in hospitalized patients

scholarly journals Mechanistic insights into synergy between nalidixic acid and tetracycline against clinical isolates of Acinetobacter baumannii and Escherichia coli

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Amit Gaurav ◽  
Varsha Gupta ◽  
Sandeep K. Shrivastava ◽  
Ranjana Pathania
Keyword(s):  
Escherichia Coli ◽  
Acinetobacter Baumannii ◽  
Nalidixic Acid ◽  
Bacterial Infections ◽  
Clinical Isolates ◽  
Hospital Environment ◽  
Infection Model ◽  
Drug Resistant ◽  
E Coli

AbstractThe increasing prevalence of antimicrobial resistance has become a global health problem. Acinetobacter baumannii is an important nosocomial pathogen due to its capacity to persist in the hospital environment. It has a high mortality rate and few treatment options. Antibiotic combinations can help to fight multi-drug resistant (MDR) bacterial infections, but they are rarely used in the clinics and mostly unexplored. The interaction between bacteriostatic and bactericidal antibiotics are mostly reported as antagonism based on the results obtained in the susceptible model laboratory strain Escherichia coli. However, in the present study, we report a synergistic interaction between nalidixic acid and tetracycline against clinical multi-drug resistant A. baumannii and E. coli. Here we provide mechanistic insight into this dichotomy. The synergistic combination was studied by checkerboard assay and time-kill curve analysis. We also elucidate the mechanism behind this synergy using several techniques such as fluorescence spectroscopy, flow cytometry, fluorescence microscopy, morphometric analysis, and real-time polymerase chain reaction. Nalidixic acid and tetracycline combination displayed synergy against most of the MDR clinical isolates of A. baumannii and E. coli but not against susceptible isolates. Finally, we demonstrate that this combination is also effective in vivo in an A. baumannii/Caenorhabditis elegans infection model (p < 0.001)

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