Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Gene Regulation in Microbial Communities: Quorum Sensing01:28

Gene Regulation in Microbial Communities: Quorum Sensing

449
Quorum sensing is a mechanism of bacterial communication that enables coordinated gene expression in response to changes in population density. This facilitates collective behaviors that enhance survival, resource acquisition, and ecological adaptation. This process relies on small signaling molecules called autoinducers that accumulate as bacterial populations grow. When a critical threshold concentration of autoinducers is reached, bacterial cells collectively modify gene expression,...
449
Formation of Lipopolysaccharides01:19

Formation of Lipopolysaccharides

467
Lipopolysaccharides (LPS) are crucial components of the outer membrane of Gram-negative bacteria, serving both structural and functional roles. It contributes to membrane stability and protects bacteria from host immune responses. LPS is composed of three major regions—lipid A, a core oligosaccharide, and an O antigen. The biosynthesis and assembly of LPS involve a highly coordinated set of enzymatic reactions and transport mechanisms. Additionally, LPS is recognized as an endotoxin,...
467
Bacterial Phylum Proteobacteria01:26

Bacterial Phylum Proteobacteria

716
Proteobacteria, one of the largest and most diverse bacterial phyla, encompasses a wide range of Gram-negative bacteria distinguished by their outer membrane composed of lipopolysaccharides. These microorganisms exhibit various metabolic capabilities, including phototrophy, chemolithotrophy, and heterotrophy, and thrive in diverse environments from soil to aquatic systems and host-associated niches. The phylum is divided into six classes: Alphaproteobacteria, Betaproteobacteria,...
716
Biofilms01:29

Biofilms

1.0K
Biofilms are complex communities of microorganisms encased in a self-produced extracellular polysaccharide matrix attached to surfaces. These microbial consortia can include single or multiple species, providing enhanced survival benefits by forming organized, multilayered structures.The formation of biofilms occurs through four key stages: attachment, colonization, development, and dispersal.During attachment, free-swimming planktonic cells adhere to a surface, often facilitated by...
1.0K
Lipid Catabolism01:25

Lipid Catabolism

787
Triglycerides serve as crucial long-term energy storage molecules in microorganisms, providing a dense source of metabolic energy. Their breakdown is mediated by lipases, which hydrolyze triglycerides into glycerol and free fatty acids. Each of these components follows distinct metabolic pathways, ultimately contributing to ATP synthesis and cellular energy homeostasis.Glycerol MetabolismGlycerol, released from triglyceride hydrolysis, is phosphorylated by glycerol kinase to form...
787
Biosynthesis of Lipids01:29

Biosynthesis of Lipids

467
Microbial membranes exhibit remarkable diversity in lipid composition, reflecting evolutionary adaptations to various environmental conditions. The three domains of life—Bacteria, Archaea, and Eukarya—synthesize membrane lipids through distinct biosynthetic pathways, leading to fundamental structural differences that impact membrane stability, function, and adaptability.Fatty Acid-Based Lipids in Bacteria and EukaryaBacteria and eukaryotes share a common fatty acid biosynthesis...
467

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A machine learning model for periodontitis based on integrative gene expression analysis: validation in an independent patient cohort.

Journal of periodontal & implant science·2026
Same author

Supportive Periodontal Therapy Improves Implant Survival in Patients With a History of Periodontitis: A Retrospective Multicenter Cohort Study of 3555 Implants.

Clinical oral implants research·2026
Same author

Shared Decision-Making for Periodontally Compromised Teeth: Study Protocol for an Ongoing Prospective Multicenter Before-and-After Clinical Trial.

Journal of Korean medical science·2026
Same author

Identification of circulating miRNA alterations in diabetes patients excluding periodontitis effects: insights into target gene downregulation in diabetic complications.

Annals of medicine·2025
Same author

The Association Between Supragingival Plaque Microbial Profiles and the Clinical Severity of Oral Lichen Planus Subtypes: A Cross-Sectional Case-Control Study.

Journal of clinical medicine·2025
Same author

Relationship between severity of periodontitis and oral health-related quality of life in Korean adults.

Journal of oral science·2025

Related Experiment Video

Updated: Jan 5, 2026

Robust Ligature-Induced Model of Murine Periodontitis for the Evaluation of Oral Neutrophils
07:15

Robust Ligature-Induced Model of Murine Periodontitis for the Evaluation of Oral Neutrophils

Published on: January 21, 2020

12.1K

Periodontal Pathogens Modulate Lipid Flux via Fatty Acid Binding Protein 4.

D J Kim1, J H Rho1, B H Woo1

  • 1Department of Oral Pathology and BK21 PLUS Project, School of Dentistry, Pusan National University, Mulgeum-up, Yangsan, Republic of Korea.

Journal of Dental Research
|October 19, 2019
PubMed
Summary

Periodontal pathogens like Porphyromonas gingivalis stimulate macrophages to increase fatty acid binding protein 4 (FABP4) expression, promoting lipid uptake and potentially linking periodontitis to systemic diseases such as atherosclerosis.

Keywords:
Fusobacterium nucleatumPorphyromonas gingivalisatherosclerosismacrophagesperiodontitisrisk factor

More Related Videos

Porphyromonas gingivalis as a Model Organism for Assessing Interaction of Anaerobic Bacteria with Host Cells
12:16

Porphyromonas gingivalis as a Model Organism for Assessing Interaction of Anaerobic Bacteria with Host Cells

Published on: December 17, 2015

26.9K
Organotypic Tissue Model Systems for Investigating Host-Pathogen Interactions In Vitro
08:41

Organotypic Tissue Model Systems for Investigating Host-Pathogen Interactions In Vitro

Published on: March 28, 2025

1.1K

Related Experiment Videos

Last Updated: Jan 5, 2026

Robust Ligature-Induced Model of Murine Periodontitis for the Evaluation of Oral Neutrophils
07:15

Robust Ligature-Induced Model of Murine Periodontitis for the Evaluation of Oral Neutrophils

Published on: January 21, 2020

12.1K
Porphyromonas gingivalis as a Model Organism for Assessing Interaction of Anaerobic Bacteria with Host Cells
12:16

Porphyromonas gingivalis as a Model Organism for Assessing Interaction of Anaerobic Bacteria with Host Cells

Published on: December 17, 2015

26.9K
Organotypic Tissue Model Systems for Investigating Host-Pathogen Interactions In Vitro
08:41

Organotypic Tissue Model Systems for Investigating Host-Pathogen Interactions In Vitro

Published on: March 28, 2025

1.1K

Area of Science:

  • Oral Health and Systemic Disease
  • Immunology and Molecular Mechanisms
  • Metabolic Disease Research

Background:

  • Chronic periodontitis is linked to systemic diseases, but molecular mechanisms remain unclear.
  • Epidemiological studies suggest a correlation, yet experimental evidence is limited.
  • Key periodontal pathogens include Porphyromonas gingivalis and Fusobacterium nucleatum.

Purpose of the Study:

  • To investigate the molecular link between periodontal pathogens and systemic disease progression.
  • To determine the effect of P. gingivalis and F. nucleatum on macrophage function.
  • To identify pathways involved in pathogen-induced changes relevant to systemic health.

Main Methods:

  • Macrophages (Raw264.7, THP-1) were infected with P. gingivalis or F. nucleatum.
  • Fatty acid binding protein 4 (FABP4) expression and lipid uptake were measured.
  • JNK pathway involvement was assessed using inhibitors and knockdown.
  • Human serum antibody levels against pathogens were correlated with FABP4 levels.

Main Results:

  • Periodontal pathogens significantly induced FABP4 expression in macrophages.
  • FABP4 upregulation promoted increased lipid uptake by macrophages.
  • JNK pathway activation was essential for pathogen-induced FABP4 expression and lipid uptake.
  • Human P. gingivalis antibody levels correlated with serum FABP4, but F. nucleatum did not.

Conclusions:

  • Periodontal pathogens stimulate macrophage lipid uptake via FABP4 modulation, dependent on the JNK pathway.
  • This study provides the first experimental evidence of periodontal pathogens influencing lipid metabolism in macrophages.
  • Findings support the hypothesis that periodontitis contributes to the pathogenesis of systemic diseases like atherosclerosis and type 2 diabetes.