Pablo Cárdenas

Pablo Cárdenas

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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11 April 2022 in Nature Biomedical Engineering
Verified
Journal Article
Closed access
PDF file
ACAndrés Cubillos-Ruiz
Andrés Cubillos-Ruiz
MAMiguel A. Alcantar
Miguel A. Alcantar
NDNina M. Donghia
Nina M. Donghia
PCPablo Cárdenas
Pablo Cárdenas
JAJulian Avila-Pacheco
Julian Avila-Pacheco
JCJames J. Collins
James J. Collins

16 March 2021 in Nature Communications
Verified
Journal Article
Open access
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HHHsin-Ho Huang
Hsin-Ho Huang
MBMassimo Bellato
Massimo Bellato
YQYili Qian
Yili Qian
PCPablo Cárdenas
Pablo Cárdenas
LPLorenzo Pasotti
Lorenzo Pasotti
DVDomitilla Del Vecchio
Domitilla Del Vecchio
CRISPRi-mediated gene regulation allows simultaneous control of many genes. However, highly specific sgRNA-promoter binding is, alone, insufficient to achieve independent transcriptional regulation of multiple targets. Indeed, due to competition for dCas9, the repression ability of one sgRNA changes significantly when another sgRNA becomes expressed. To solve this problem and decouple sgRNA-mediated regulatory paths, we create a dCas9 concentration regulator that implements negative feedback on dCas9 level. This allows any sgRNA to maintain an approximately constant dose-response curve, independent of other sgRNAs. We demonstrate the regulator performance on both single-stage and layered CRISPRi-based genetic circuits, zeroing competition effects of up to 15-fold changes in circuit I/O response encountered without the dCas9 regulator. The dCas9 regulator decouples sgRNA-mediated regulatory paths, enabling concurrent and independent regulation of multiple genes. This allows predictable composition of CRISPRi-based genetic modules, which is essential in the design of larger scale synthetic genetic circuits.

22 February 2019 in Viruses
Verified
Journal Article
Open access
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AHAngela Victoria Holguin
Angela Victoria Holguin
PCPablo Cárdenas
Pablo Cárdenas
CPCatalina Prada-Peñaranda
Catalina Prada-Peñaranda
LLLaura Rabelo Leite
Laura Rabelo Leite
CBCamila Buitrago
Camila Buitrago
MVMartha Vives
Martha Vives
Bacteriophages represent an alternative solution to control bacterial infections. When interacting, bacteria and phage can evolve, and this relationship is described as antagonistic coevolution, a pattern that does not fit all models. In this work, the model consisted of a microcosm of Salmonella enterica serovar Enteritidis and φSan23 phage. Samples were taken for 12 days every 48 h. Bacteria and phage samples were collected; and isolated bacteria from each time point were challenged against phages from previous, contemporary, and subsequent time points. The phage plaque tests, with the genomics analyses, showed a mutational asymmetry dynamic in favor of the bacteria instead of antagonistic coevolution. This is important for future phage-therapy applications, so we decided to explore the population dynamics of Salmonella under different conditions: pressure of one phage, a combination of phages, and phages plus an antibiotic. The data from cultures with single and multiple phages, and antibiotics, were used to create a mathematical model exploring population and resistance dynamics of Salmonella under these treatments, suggesting a nonlethal, growth-inhibiting antibiotic may decrease resistance to phage-therapy cocktails. These data provide a deep insight into bacterial dynamics under different conditions and serve as additional criteria to select phages and antibiotics for phage-therapy.

15 July 2022 in Science Advances
Verified
Journal Article
Open access
PCPablo Cárdenas
Pablo Cárdenas
VCVladimir Corredor
Vladimir Corredor
MSMauricio Santos
Mauricio Santos
Genomics is fundamentally changing epidemiological research. However, systematically exploring hypotheses in pathogen evolution requires new modeling tools. Models intertwining pathogen epidemiology and genomic evolution can help understand processes such as the emergence of novel pathogen genotypes with higher transmissibility or resistance to treatment. In this work, we present Opqua, a flexible simulation framework that explicitly links epidemiology to sequence evolution and selection. We use Opqua to study determinants of evolution across fitness valleys. We confirm that competition can limit evolution in high-transmission environments and find that low transmission, host mobility, and complex pathogen life cycles facilitate reaching new adaptive peaks through population bottlenecks and decoupling of selective pressures. The results show the potential of genomic epidemiological modeling as a tool in infectious disease research.

28 February 2025 in bioRxiv
Verified
Preprint
Open access
PDF file
MGMatthieu Galtier
Matthieu Galtier
AKAntonina Krawczyk
Antonina Krawczyk
FFFabien J. Fuche
Fabien J. Fuche
LCLoïc H. Charpenay
Loïc H. Charpenay
ISIgor Stzepourginski
Igor Stzepourginski
JFJesus Fernandez-Rodriguez
Jesus Fernandez-Rodriguez
Escherichia coli is a ubiquitous gut commensal but also an opportunistic pathogen responsible for severe intestinal and extra-intestinal infections. Shiga toxin-producing E. coli (STEC) pose a significant public health threat, particularly in children, where infections can lead to bloody diarrhea and progress to hemolytic uremic syndrome (HUS), a life-threatening condition with long-term complications. Antibiotics are contraindicated in STEC infections due to their potential to induce prophages carrying Shiga toxin ( stx) genes, triggering toxin production. Here, we present a CRISPR-based antimicrobial strategy that selectively targets and eliminates O157 STEC clinical isolates while preventing toxin release. We designed a Cas12 nuclease to cleave >99% of all stx variants found in O157 strains, leading to bacterial killing and suppression of toxin production. To enable targeted delivery, we engineered a bacteriophage-derived capsid to specifically transfer a non-replicative DNA payload to E. coli O157, preventing its dissemination. In a mouse STEC colonization model, our therapeutic candidate, EB003, reduced bacterial burden by a factor of 3×10 3 . In an infant rabbit disease model, EB003 mitigated clinical symptoms, abrogated stx-mediated toxicity, and accelerated epithelial repair at therapeutically relevant doses. These findings demonstrate the potential of CRISPR-based antimicrobials for treating STEC infections and support further clinical development of EB003 as a precision therapeutic against antibiotic-refractory bacterial pathogens.

27 May 2026 in Science Translational Medicine
Verified
Journal Article
Closed access
MGMatthieu Galtier
Matthieu Galtier
AKAntonina Krawczyk
Antonina Krawczyk
FFFabien J. Fuche
Fabien J. Fuche
LCLoïc H. Charpenay
Loïc H. Charpenay
ISIgor Stzepourginski
Igor Stzepourginski
JFJesus Fernandez-Rodriguez
Jesus Fernandez-Rodriguez
Escherichia coli is not only a ubiquitous gut commensal but also an opportunistic pathogen responsible for severe intestinal and extraintestinal infections. Shiga toxin–producing E. coli (STEC) poses a notable public health threat, particularly in children, where infections can lead to bloody diarrhea and progress to hemolytic uremic syndrome, a life-threatening condition with long-term complications. Antibiotics are contraindicated in STEC infections because of their potential to induce prophages carrying Shiga toxin ( stx ) genes, triggering toxin production. Here, we developed a CRISPR-based antimicrobial strategy using a Cas12 nuclease to selectively eliminate O157 STEC clinical isolates, cleaving more than 99% of stx variants, and prevent toxin release. To enable targeted delivery, we engineered a bacteriophage-derived capsid to specifically transfer a nonreplicative DNA payload to E. coli O157, preventing its dissemination. Our therapeutic candidate, EB003, reduced bacterial burden in a murine STEC colonization model. Moreover, EB003 mitigated clinical symptoms, abrogated Stx-mediated toxicity, and accelerated epithelial repair at therapeutically relevant doses in an infant rabbit disease model. These findings demonstrate the potential of CRISPR-based antimicrobials for treating STEC infections and support further clinical development of EB003 as a precision therapeutic against antibiotic-refractory bacterial pathogens.