The Human Microbiome (Disease) Flashcards

Lecture 3

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1
Q

ILO’s

A
  1. Evidence of microbiome causality of disease
  2. Potential of synthetic microbiomes in medicine
  3. Potential of metabolic approaches to microbiome manipulations and therapies
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2
Q

Evidence of microbiome in disease

A

Some diseases are considered to be caused by a single pathogen

Intestinal microbiota is distinct in irritable bowel syndrome - host genetics play a part

  • association with microbiota and obesity in mice and humans

Unintentional alteration of the microbiota disrupts normal balance and skew towards metabolic syndrome and obesity (antibiotics)

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3
Q

Helicobacter pylori

A

Contains a uresase (sp?) enzyme that converts urea to ammonia which is alkaline, so neutralise some of the stomach acid around it

H. pylori is the first formally recognised bacterial carcinogen

Gastric cancer - 4th cause of cancer related death globally

Microaerophilic, spiral shaped, gram negative bacteria

Approx 50% human population is infected

Induces gastritis, peptic ulcers, gastric cancer and mucosa-associated lymphoid tissue lymphoma

Susceptibility is multifactorial (environment, genes, immune status, other microbiology)

Difficult to eradicate

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4
Q

Gut microbiome and IBD

A

CD and UC - no known cause

see related reading

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5
Q

Microbiome - host internaly in IBD

A

Adhesive and invasive form of ecoli (AIEC) in CD patients

Intracellular invasion by AIEC is associated with active CD and intestinal pathology

The receptor that facilitates AIEC binding in epithelial cells is unregulated in CD

Host genetics - Defects in innate immunity (eg. mucosal barrier, autophagy, phagocytosis) - Microscopically (loss of barrier, inflammatory cytokines, lesions and fibrotic scarring) - Microbiota (AIEC, dysbiosis, carcinogenic microbiota) - Symptoms

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6
Q

Obesity related shift in microbiota

A

A shift in the relative abundance of bacteriodetes and firmicutes has been observed in obese humans

Abundance of bacteriodetes increased when dieting - change in abundance correlated with weight lost

Microbiota mediated transmission of obesity in mice: significant association between bloom of Firmicutes

Obesity associated microbiome has more capacity for energy harvest in mammalian cells

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7
Q

HMP and therapeutic interventions

A

Anti inflammatory gut organisms such as Faecalibacterium might be an effective probiotic for CD

Eradication therapy targeted against ‘harmful’ components of the microbiota (H pylori)

Potential strategies for therapeutic microbiome manipulation:

  • Antibiotics
  • Bacteriophage
  • Probiotics
  • Prebiotics
  • Synbiotics
  • Nutritional therapy
  • Microbiota restoration
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8
Q

Example additive microbiota therapies

A

A - vaginal commensale Lactobacillus jensenii engineered to produce antiviral protein cyanovirin-N: colonisation by recombinant bacteria inhibits host infection by SHIV in simian model

B - Lactococcus lactis genetically modified to produce anti inflammatory cytokine interleukin-10 (IL10): administration in mice with colitis shown to reduce inflammation during gut transit

C - Probiotic Escherichia coli engineered to synthesise N-acyl-phosphatidylethanolamines (NAPEs): host mediated conversion of NAPEs to N-acylethanolamides (NAEs) prevents obesity in mice (through inc. satiety)

D - Endogenous urease (Ure+) activity of mouse microbiota can exacerbate hyperammonemia caused by liver injury, depletion of native microbiota via antibiotics and polythene glycol: replacement with urease deficient (Ure-)microbiota can protect from hyperammonemia and associated neurotoxicity

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9
Q

Metabolic approaches to microbiome manipulations and therapies

A

Bacterial gut metagenome produces primary and secondary metabolites

Secondary metabolites are called ‘specialised metabolites’

Specialised metabolites can produce molecules that have effects in the body, e.g. GABA produced by bacteria can have neurological effects

Lactobacillus rhamnosus produces GABA: probiotic treatment increases GABA receptor expression in the hippocampus and reduces anxiety and depression behaviours in the mouse model

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