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Research Article

Human mucosal in vivo transcriptome responses to three lactobacilli indicate how probiotics may modulate human cellular pathways

Peter van Baarlen, Freddy Troost, Cindy van der Meer, Guido Hooiveld, Mark Boekschoten, Robert J. M. Brummer, and Michiel Kleerebezem
  1. aTop Institute Food and Nutrition, 6700 AN Wageningen, The Netherlands;
  2. bCentre for Molecular and Biomolecular Informatics, Radboud University Medical Centre, 6500 HB Nijmegen, The Netherlands;
  3. cDepartment of Internal Medicine, Division of Gastroenterology-Hepatology, Maastricht University, 6200 MD Maastricht, The Netherlands;
  4. dNIZO Food Research, 6710 BA Ede, The Netherlands;
  5. eNutrition, Metabolism, and Genomics Group, Division of Human Nutrition, Wageningen University, 6700 EV Wageningen, The Netherlands; and
  6. fLaboratory of Microbiology, Wageningen University, Dreijenplein 10, 6703 HB Wageningen, The Netherlands

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PNAS March 15, 2011 108 (Supplement 1) 4562-4569; first published September 7, 2010; https://doi.org/10.1073/pnas.1000079107
Peter van Baarlen
aTop Institute Food and Nutrition, 6700 AN Wageningen, The Netherlands;
bCentre for Molecular and Biomolecular Informatics, Radboud University Medical Centre, 6500 HB Nijmegen, The Netherlands;
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Freddy Troost
aTop Institute Food and Nutrition, 6700 AN Wageningen, The Netherlands;
cDepartment of Internal Medicine, Division of Gastroenterology-Hepatology, Maastricht University, 6200 MD Maastricht, The Netherlands;
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Cindy van der Meer
aTop Institute Food and Nutrition, 6700 AN Wageningen, The Netherlands;
dNIZO Food Research, 6710 BA Ede, The Netherlands;
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Guido Hooiveld
aTop Institute Food and Nutrition, 6700 AN Wageningen, The Netherlands;
eNutrition, Metabolism, and Genomics Group, Division of Human Nutrition, Wageningen University, 6700 EV Wageningen, The Netherlands; and
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Mark Boekschoten
aTop Institute Food and Nutrition, 6700 AN Wageningen, The Netherlands;
eNutrition, Metabolism, and Genomics Group, Division of Human Nutrition, Wageningen University, 6700 EV Wageningen, The Netherlands; and
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Robert J. M. Brummer
aTop Institute Food and Nutrition, 6700 AN Wageningen, The Netherlands;
cDepartment of Internal Medicine, Division of Gastroenterology-Hepatology, Maastricht University, 6200 MD Maastricht, The Netherlands;
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Michiel Kleerebezem
aTop Institute Food and Nutrition, 6700 AN Wageningen, The Netherlands;
dNIZO Food Research, 6710 BA Ede, The Netherlands;
fLaboratory of Microbiology, Wageningen University, Dreijenplein 10, 6703 HB Wageningen, The Netherlands
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  • For correspondence: michiel.kleerebezem@nizo.nl
  1. Edited by Todd R. Klaenhammer, North Carolina State University, Raleigh, NC, and approved August 13, 2010 (received for review January 29, 2010)

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    Fig. 1.

    Dendrogram visualizing similarity and distances between the microarray data. The second number of the array identification indicates each individual volunteer. Note that the clusters, representing the array datasets with higher similarity, are basically consisting of data from individual volunteers, not interventions. Clusters representing individuals are boxed. From the dendrogram, it is apparent that the differences between individuals, represented by the node-to-node distances, are larger than the differences between interventions.

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    Fig. 2.

    Ingenuity protein–protein interaction network reflecting immune response-related transcriptome changes after consumption of L. acidophilus. Nodes in the interaction network are encoded by differentially expressed genes with the following functional annotations: immune response, infectious disease, and inflammatory disease. Interactions between the nodes represent protein–protein interactions (binding and phosphorylation) as well as regulation of gene transcription by transcription factors. Chemokines without direct interactions are depicted as well (upper right corner). Transcriptional information was projected onto the interaction map such that up-regulated genes are depicted in shades of red and down-regulated genes are in shades of green. From this interaction map, it can be seen that the up-regulated transcription factors STAT3, CCAAT/enhancer binding protein (C/EBP), beta (CEBPB), CEBPD, RELB, and NFKB2 connect, by multiple outward pointing arrows, to multiple nodes. These nodes represent downstream genes that are known to be regulated by these transcription factors. Genes that participate in the immuno-regulatory pathways, NF-κB and IL-10 signaling, are indicated by the blue lines.

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    Fig. 3.

    Heat map visualization of transcriptional change (fold change) and coefficients of variation (CoVars) for those genes that encode the proteins that are represented in the interaction network depicted in Fig. 2. The values listed in the table correspond with the heat-map colors. An expression value represented in black indicates that the respective gene was not differentially expressed. From this, it can be seen that genes with functional annotations relating to the immune response are mainly regulated on consumption of L. acidophilus, not on consumption of the other two lactobacilli. Note that genes encoding proteins that occupy more central regulatory functions in the network of Fig. 2 tend to have lower CoVars compared with genes that encode proteins with more acute functions such as chemokines. This trend is also apparent in the responses to the other two lactobacilli (SI Appendix, SI Results, Figs. S8 and S9, and Tables S11 and S12).

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    Table 1.

    Connectivity-map analysis results for the interventions of healthy adults with L. acidophilus Lafti L10, L. casei CRL-431, and L. rhamnosus GG

    SpeciesCompound (medicine)Corr*Biochemical interactionsTherapeutic usage
    L. acidophilusPhenoxy-benzamine (Dibenzyline)+Antagonist of α-adrenergic receptor activityAntihypertension (e.g., of blood vessels)
    8-azaguanine+Guanine antagonistTreatment of acute leukemia
    Fludrocortisone (Florinef)+Synthetic corticosteroidReplacement for aldosterone hormone in adrenal insufficiency
    Luteolin (Lutimax)+FlavonoidAntioxidant, free-radical scavenger, preventer of inflammation, and immune-system modulator
    Tracazolate+Anxiolytic drug, modulation of GABA receptorsAnxiolytic and anticonvulsant effects
    L. caseiAdiphenine (Trasentine)−Cholinergic blocking agent(Smooth) muscle relaxant; can cause constipation
    Nadolol (Corgard)−Antagonist of β-adrenergic receptor activityInhibition of water retention and vasoconstriction, may increase levels of plasma triglycerides and decrease HDL cholesterol
    Viomycin (Viocin)−Antibiotic; translation inhibitorTreatment of tuberculosis
    Etiocholanolone−Ketosteroid, metabolite of testosteroneCauses fever, immunostimulation, and leukocytosis
    Medrysone (Medrisone Opththalmic, HMS)+CorticosteroidTreatment of (eye) inflammation caused by infections or injury
    L. rhamnosusProscillaridin (Talusin)−Glycoside steroid, endogenous digitoxin-likeIncrease heart contractions; Na+/K+ ATPase inhibitor
    Cephaeline (related to emetine)+AlkaloidPromotes bowel movement, emetic, amoebicide
    Helveticoside−GlycosideDigitalis-like; Na+/K+ ATPase inhibitor
    Emetine+Alkaloid; protein synthesis inhibitor in eukaryotic cellsEmetic, amoebicide; treatment of herpes zoster, protection against T-2 mycotoxin
    H-7−Protein kinase C inhibitorInduction of apoptosis in human neuroblastoma cells through a p53-dependent pathway
    • ↵*Correlation, indicated with a + or − sign, indicates if the corresponding compound induced (+) or repressed (−) the expression of the probe sets that feature as gene signatures in the ConnMap database. Statistics supporting significance and specificity of similarity can be found in SI Appendix, Table S5.

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Human mucosal in vivo transcriptome responses to three lactobacilli indicate how probiotics may modulate human cellular pathways
Peter van Baarlen, Freddy Troost, Cindy van der Meer, Guido Hooiveld, Mark Boekschoten, Robert J. M. Brummer, Michiel Kleerebezem
Proceedings of the National Academy of Sciences Mar 2011, 108 (Supplement 1) 4562-4569; DOI: 10.1073/pnas.1000079107

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Human mucosal in vivo transcriptome responses to three lactobacilli indicate how probiotics may modulate human cellular pathways
Peter van Baarlen, Freddy Troost, Cindy van der Meer, Guido Hooiveld, Mark Boekschoten, Robert J. M. Brummer, Michiel Kleerebezem
Proceedings of the National Academy of Sciences Mar 2011, 108 (Supplement 1) 4562-4569; DOI: 10.1073/pnas.1000079107
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