John Penders

Prof. Dr. John Penders

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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1 August 2006 in Pediatrics
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Journal Article
Closed access
JPJohn Penders
John Penders
CTCarel Thijs
Carel Thijs
CVCornelis Vink
Cornelis Vink
FSFoekje F. Stelma
Foekje F. Stelma
BSBianca Snijders
Bianca Snijders
ESEllen E. Stobberingh
Ellen E. Stobberingh
OBJECTIVE. The aim of this study was to examine the contribution of a broad range of external influences to the gut microbiotic composition in early infancy. METHODS. Fecal samples from 1032 infants at 1 month of age, who were recruited from the KOALA Birth Cohort Study in the Netherlands, were subjected to quantitative real-time polymerase chain reaction assays for the enumeration of bifidobacteria, Escherichia coli, Clostridium difficile, Bacteroides fragilis group, lactobacilli, and total bacterial counts. Information on potential determinants of the gut microbiotic composition was collected with repeated questionnaires. The associations between these factors and the selected gut bacteria were analyzed with univariate and multivariate analyses. RESULTS. Infants born through cesarean section had lower numbers of bifidobacteria and Bacteroides, whereas they were more often colonized with C difficile, compared with vaginally born infants. Exclusively formula-fed infants were more often colonized with E coli, C difficile, Bacteroides, and lactobacilli, compared with breastfed infants. Hospitalization and prematurity were associated with higher prevalence and counts of C difficile. Antibiotic use by the infant was associated with decreased numbers of bifidobacteria and Bacteroides. Infants with older siblings had slightly higher numbers of bifidobacteria, compared with infants without siblings. CONCLUSIONS. The most important determinants of the gut microbiotic composition in infants were the mode of delivery, type of infant feeding, gestational age, infant hospitalization, and antibiotic use by the infant. Term infants who were born vaginally at home and were breastfed exclusively seemed to have the most “beneficial” gut microbiota (highest numbers of bifidobacteria and lowest numbers of C difficile and E coli).

19 February 2016 in Frontiers in Microbiology
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Journal Article
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CWChristian J. H. von Wintersdorff
Christian J. H. von Wintersdorff
JPJohn Penders
John Penders
JNJulius M. van Niekerk
Julius M. van Niekerk
NMNathan D. Mills
Nathan D. Mills
SMSnehali Majumder
Snehali Majumder
PWPetra Wolffs
Petra Wolffs
The emergence and spread of antibiotic resistance among pathogenic bacteria has been a rising problem for public health in recent decades. It is becoming increasingly recognized that not only antibiotic resistance genes (ARGs) encountered in clinical pathogens are of relevance, but rather, all pathogenic, commensal as well as environmental bacteria – and also mobile genetic elements and bacteriophages – form a reservoir of ARGs (the resistome) from which pathogenic bacteria can acquire resistance via horizontal gene transfer (HGT). HGT has caused antibiotic resistance to spread from commensal and environmental species to pathogenic ones, as has been shown for some clinically important ARGs. Of the three canonical mechanisms of HGT, conjugation is thought to have the greatest influence on the dissemination of ARGs. While transformation and transduction are deemed less important, recent discoveries suggest their role may be larger than previously thought. Understanding the extent of the resistome and how its mobilization to pathogenic bacteria takes place is essential for efforts to control the dissemination of these genes. Here, we will discuss the concept of the resistome, provide examples of HGT of clinically relevant ARGs and present an overview of the current knowledge of the contributions the various HGT mechanisms make to the spread of antibiotic resistance.

2 October 2017 in Nature Biotechnology
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PCPaul I Costea
Paul I Costea
GZGeorg Zeller
Georg Zeller
SSShinichi Sunagawa
Shinichi Sunagawa
EPEric Pelletier
Eric Pelletier
CACEA Alberti
CEA Alberti
PBPeer Bork
Peer Bork

1 May 2007 in Gut
Verified
Journal Article
Open access
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JPJohn Penders
John Penders
CTCarel Thijs
Carel Thijs
PBPiet A van Den Brandt
Piet A van Den Brandt
IKIscha Kummeling
Ischa Kummeling
BSBianca Snijders
Bianca Snijders
ESEllen E Stobberingh
Ellen E Stobberingh
Background and aims: Perturbations in intestinal microbiota composition due to lifestyle changes may be involved in the development of atopic diseases. We examined gut microbiota composition in early infancy and the subsequent development of atopic manifestations and sensitisation. Methods: The faeces of 957 infants aged 1 month and participating in the KOALA Birth Cohort Study were analysed using quantitative real-time PCR. Information on atopic symptoms (eczema, wheeze) and potential confounders was acquired through repeated questionnaires. Total and specific IgE were measured in venous blood samples collected during home visits when the infant was 2 years old. During these home visits a clinical diagnosis of atopic dermatitis was made according to the UK-Working Party criteria. Results: The presence of Escherichia coli was associated with a higher risk of developing eczema (ORadj = 1.87; 95% CI 1.15 to 3.04), this risk being increased with increasing numbers of E coli (pfor trend = 0.016). Infants colonised with Clostridium difficile were at higher risk of developing eczema (ORadj = 1.40; 95% CI 1.02 to 1.91), recurrent wheeze (ORadj = 1.75; 95% CI 1.09 to 2.80) and allergic sensitisation (ORadj = 1.54; 95% CI 1.02 to 2.31). Furthermore, the presence of C difficile was also associated with a higher risk of a diagnosis of atopic dermatitis during the home visit (ORadj = 1.73; 95% CI 1.08 to 2.78). Conclusion: This study demonstrates that differences in gut microbiota composition precede the development of atopy. Since E coli was only associated with eczema and C difficile was associated with all atopic outcomes, the underlying mechanisms explaining these association may be different.

10 July 2021 in Journal of Open Source Software
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DBDavid J.M. Barnett
David J.M. Barnett
IAIlja C.W. Arts
Ilja C.W. Arts
JPJohn Penders
John Penders

1 November 2011 in Journal of Allergy and Clinical Immunology
Verified
Journal Article
Closed access
FNFrederika A. van Nimwegen
Frederika A. van Nimwegen
JPJohn Penders
John Penders
ESEllen E. Stobberingh
Ellen E. Stobberingh
DPDirkje S. Postma
Dirkje S. Postma
GKGerard H. Koppelman
Gerard H. Koppelman
CTCarel Thijs
Carel Thijs