microbiota: ciencia y tecnologÍa de alimentos para ... · de alimentos para nuestros pequeÑos...
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PROF. ASCENSIÓN MARCOS
PROFESORA DE INVESTIGACION
MICROBIOTA: CIENCIA Y TECNOLOGÍA
DE ALIMENTOS PARA NUESTROS
PEQUEÑOS INQUILINOS
90% MICROBES
10% HUMAN CELLS
HOST DIET
HUMAN GUT MICROBIOTA
Host metabolites
Nutrients
Bacterial metabolites
SCHEMATIC ECOLOGICAL INTERACTIONS OCCURRING IN THE HUMAN COLON
Chassard &Lacroix. Curr Opin Clin Nutr Metab Care 2013;16:453-60
billions of microbes
extracting nutrient and
energy from complex polysaccharides
polysaccharides not degraded by host enzymes
polysaccharides
fermented by the
colonic gut microbiota
caracterización
Chassard &Lacroix. Curr Opin Clin Nutr Metab Care 2013;16:453-60
FATE OF INGESTED DIETARY FOOD COMPONENTS
IN THE SMALL AND LARGE INTESTINE
Scott, Gratz, Sheridan, Flint, Duncan. Pharmacol Res 2010;61:52–60
Adapted from Topping and Clifton
CHO – carbohydrate, RS – resistant starch, NSP – non-starch polysaccharide, OS –
oligosaccharides, SCFA – short chain fatty acids, BCFA – branched chain fatty acids.
IMPACT OF BACTERIAL CROSS-FEEDING IN THE CONVERSION OF LACTATE OR
RELEASED OLIGOSACCHARIDE DEGRADATION PRODUCTS INTO BUTYRATE
Scott, Gratz, Sheridan, Flint, Duncan. Pharmacol Res 2010;61:52–60
Chassard &Lacroix. Curr Opin Clin Nutr Metab Care 2013, 16:453–460
OVERVIEW OF CARBOHYDRATES AVAILABLE FOR THE COLONIC GUT MICROBIOTA
AND THEIR MAJOR BACTERIAL UTILIZERS
Short chain fatty acid concentrations in fermenta after 24 h of fecal
fermentation with chlorogenic acid, caffeic acid, rutin and quercetin at 10, 30
and 100 μg/mL respectively and inulin at 2, 10 and 20 mg/mL
PHYTOCHEMICALS AND PHYSIOLOGICAL FUNCTION
Laparra & Sanz. Pharmacol Res 2010;61:219-25
Obesity in humans leads to changes in the composition of gut
microbiota, some of those changes being reversed upon dieting
and changes in dietary habits.
SCHEMATIC VIEW OF THE
POSSIBLE MECHANISMS
LINKING GUT
MICROBIOTA TO OBESITY
Bacterial LPS derived from intestinal microbiota may act as a
triggering factor linking inflammation to high-fat diet-induced obesity
The composition of the microbiota can shape a healthy
immune response or predispose to disease
PA
Deviations from the normal development of the microbiota may alter the
outcome of immune development and potentially predispose individuals to
various inflammatory diseases later in life
THE ENTERIC MICROBIOTA-GUT-BRAIN AXIS
(BI-DIRECTIONAL COMMUNICATION SYSTEM)
Brain modulates
gastrointestinal function
Any alteration in gastrointestinal
function is communicated to
the brain with the perception
of visceral events (nausea,
satiety, pain)
NEURAL PATHWAYS AS WELL AS IMMUNE AND ENDOCRINE MECHANISMS
Cryan JF & O'Mahony SM. Neurogastroenterol Motil. 2011;23(3):187-92
MICROBIOTA–GUT–BRAIN COMMUNICATION IN HEALTH AND DISEASE
COMPOSITION IN THE GUT
MICROBES MAY BE ASSOCIATED
WITH CHANGES IN THE NORMAL
FUNCTIONING OF THE NERVOUS
SYSTEM
PSYCHIATRIC DISORDERS ?
Grenham et al. Frontiers in Physiology. 2011;2:94
Studies evaluate new substances which could be used to
body weight control or to reduce the risk of associated
pathologies and to improve the health of obese patients
Nutritional strategies could contribute to reduce risk of
diseases throughout modifications in the microbiota
FAT STORAGE
METABOLISM
GUT
MICROBES
(Bäckhed et al., 2004; Cani and Delzenne, 2009) (Ley et al., 2006; Santacruz et al., 2009;
Delzenne et al., 2011; Jumpertz et al., 2011)
FIRMICUTES
LEAN
OBESE
BACTEROIDETES
PROGRAMA INTEGRAL EVASYON
(DIETA + ACTIVIDAD FÍSICA) PARA ADOLESCENTES
(13-16 AÑOS)
< 2 KG
> 4 KG
FASE INTENSIVA
PÉRDIDA PESO
PÉRDIDA
PESO
Correlaciones entre el recuento de bacterias fecales y
la pérdida de peso después de la intervención en el
grupo de adolescentes con mayor pérdida ponderal
(n=23; >4.0 kg pérdida de peso)
CONCLUSION
FAT STORAGE
METABOLISM
GUT
MICROBES
Gut microbiota composition is more important
to achieve weight loss than expected
EVASYON intervention was only successful in one group (HWL),
maybe due to a different microbiota between both groups
OBJECTIVE
The aim of this study was to evaluate
the effects of two dietary treatments to
lose weight on the gut microbiota
composition in female ICR mice.
Changes in gut microbiota due to supplemented fatty acids in diet-induced obese mice
JR. Mujico, GC. Baccan, A Gheorghe, LE. Díaz & A Marcos. BJN (in press)
EXPERIMENTAL DESIGN
1. Induction of obesity:
High fat diet (HF)/ 8 weeks
2. Effects of treatments on weight and gut
microbiota
HF+T1 / 6 weeks
HF+T2 / 6 weeks
TREATMENTS
Treatment 1 (T1): compound derived
from oleic acid (1500mg/kg/day)
Treatment 2 (T2): omega-3 fatty
acids
(EPA + DHA, 3000mg/kg/day)
MATERIALS AND METHODS
Table 1- Composition of the diets Maintenance
diet High fat diet
Protein (%) 14.3 23.5 Carbohydrate (%) 48.0 27.3 Fat (%) 4.0 34.3 Saturated (%) 0.6 37 Monounsaturated (%) 0.7 47 Polyunsaturated (%) 2.1 16 Energy density (Kcal/g) 2.9 5.1 Calories from Protein (%) 20.0 18.4 Calories from Carbohydrate (%) 67.0 21.3 Calories from Fat(%) 13.0 60.3
MATERIALS AND METHODS
The real-time PCR analysis was used together with the
group-specific primers* to detect the populations of:
PCR assay Oligonucleotide sequence (5'–3') Amplicon
size (bp) Reference
Total bacteria F: 5'-ACTCCTACGGGAGGCAGCAG-3' R: 5'-ATTACCGCGGCTGCTGG-3'
200 Fierer_2005
Firmicutes Phylum F: 5'-GGAGYATGTGGTTTAATTCGAAGCA-3' R: 5'-AGCTGACGACAACCATGCAC-3'
126 Guo_2008
Clostridial Cluster XIVa F: 5'-GCGGTRCGGCAAGTCTGA-3' R: 5'-CCTCCGACACTCTAGTMCGAC-3'
81 Ramírez-Farias_2009
Lactobacillus Group F: 5'-AGCAGTAGGGAATCTTCCA-3' R: 5'-CACCGCTACACATGGAG-3'
341 Rinttila_2004
Enterobacteriales Order F: 5'-ATGGCTGTCGTCAGCTCGT-3' R: 5'-CCTACTTCTTTTGCAACCCACTC-3'
177 Castillo_2006
Bacteroidetes Phylum F: 5'-GGARCATGTGGTTTAATTCGATGAT-3' R: 5'-AGCTGACGACAACCATGCAG-3'
126 Guo_2008
Bifidobacterium spp. F: 5'-TCGCGTCYGGTGTGAAAG-3' R: 5'-RCCACATCCAGCRTCCAC-3'
243 Rinttila_2004
*These primers were commercially synthesized by Isogen
INDUCTION OF OBESITY
0 7 14 21 28 35 42 49 560
10
20
30
40
50Control
Obese
Treatment 1
Treatment 2
Days
Weig
ht
(g)
Contr
ol
Obes
e
Treat
men
t 1
Treat
men
t 2
0
1000
2000
3000 **
*
Are
a u
nd
er
cu
rve
Effects of diets on body weight (8 weeks)
HF
HF+T1
HF+T2
HF C HF+T1 HF+T2
EFFECTS OF TREATMENTS
0 7 14 21 28 35 42 490
10
20
30
40
50
60Control
Obese
Treatment 1
Treatment 2
Days
Weig
ht
(g)
Contr
ol
Obes
e
Treat
men
t 1
Treat
men
t 2
0
500
1000
1500
2000
2500
3000
3500
*** *
Are
a u
nd
er
cu
rve
Effects of treatment on body weight
HF C HF+T1 HF+T2
HF
HF+T1
HF+T2
8 wk (weeks: 8-14)
BODY FAT SCANNER
Control Obese Treatment 1 Treatment 2
EFFECTS OF TREATMENTS
HF HF+T1 HF+T2
EFFECTS OF TREATMENTS
Effects of diets on visceral fat
Contr
ol
Obes
e
Treat
men
t 1
Treat
men
t 2
0
2
4
6
***
**W
eig
ht
(g)
HF C HF+T1 HF+T2
EFFECTS OF TREATMENTS
Effects of treatment 1 and 2 on triglycerides
0 6
0
50
100
150
200
250Control
Obese
Treatment 1
Treatment 2
*
**
Weeks of treatment
Tri
gly
ceri
des (
mg
/dL
)
HF
HF+T1
HF+T2
8 wk 6 wk
TOTAL DNA (ng DNA / mg faeces)
Spearman r = -0.8810
p = 0.0072**
• HF and HF+T2 decreased total DNA
content in faeces
• HF+T1 increased total DNA content up to
similar level than control group (NS)
Significant negative correlation
was observed between total
DNA content and body weight
Kruskal-Wallis test
(Dunn's Multiple Comparison Test)
HF C HF+T1 HF+T2
GUT MICROBIOTA
PCR assay Slope
PCR
efficiency
(%)
Correlation
coefficient
Total bacteria -3.288 101.4 0.999
Firmicutes Phylum -3.382 97.6 0.999
Clostridial Cluster XIVa -3.439 95.3 0.999
Lactobacillus Group -3.709 86.0 0.999
Enterobacteriales Order -3.379 97.7 0.990
Bacteroidetes Phylum -3.401 96.9 0.999
Bifidobacterium spp. -3.613 90.2 0.997
• Standard curves had correlation coefficient values
between 0.990-0.999
• Using the formula E = [10(-1/slope) - 1], the efficiencies
for the individual assays were between 86.0-101.4%
Total Bacteria (Pan-Bacteria)
Spearman r = -0.7143
p = 0.0576 (NS)
Tendency to negative correlation
was observed between total bacteria in faeces and body weight
Firmicutes Phylum
Significant positive correlations were
found between Firmicutes &
Clostridium and body weight
Spearman r = 0.8333
p = 0.0154*
Spearman r = 0.9286
p = 0.0022**
Firmicutes Phylum
Clostridial Cluster XIVa
Lactobacillus Group
Lactobacillus Group
Lactobacillus Group (Relative Units)
Bo
dy W
eig
ht
(g)
0 100 200 300 4000
20
40
60
80
Control Obese Treatment 1 Treatment 2
Spearman r = 0.6429
p = 0.0962 (NS)
The Lactobacilliales order of the Bacilli class from the Firmicutes phylum
No significant correlation was found between Lactobacillus and body weight
Enterobacteriales Order
Enterobacteriales Order
Enterobacteriales Order (Relative Units)
Bo
dy W
eig
ht
(g)
0 100 200 300 400 5000
20
40
60
80
Control Obese Treatment 1 Treatment 2
Spearman r = 0.5952
p = 0.1323 (NS)
The Enterobacteriales order of the γ-Proteobacteria class from the
Proteobacteria phylum
No significant correlations between Enterobacteriales and body weight
Bacteroidetes Phylum Bacteroidetes Phyla
Bacteroidetes Phyla (Relative Units)
Bo
dy W
eig
ht
(g)
0 100 200 300 4000
20
40
60
80
Control Obese Treatment 1 Treatment 2
Spearman r = -0.7857
p = 0.0279*
Significant negative correlation between Bacteroidetes and body weight
Bifidobacterium spp. Bifidobacterium spp.
Bifidobacterium spp. (Relative Units)
Bo
dy W
eig
ht
(g)
0 20 40 60 80 1000
20
40
60
80
Control Obese Treatment 1 Treatment 2
Spearman r = -0.5538
p = 0.1966 (NS)
No significant correlation between Bifidobacterium and body weight
SUMMARY
High fat feeding induced important changes in the
microbial community structure:
Bacteroidetes Phylum
Bifidobacterium spp.
Firmicutes Phylum
Clostridial Cluster XIVa
Lactobacillus group
Enterobacteriales Order
SUMMARY
• HF+T1 restored (partially or completely) the analyzed microbial
groups to proportions similar to the control group
• HF+T2 significantly increased the quantities of Firmicutes
• Significant positive correlations were observed between body weight
and Firmicutes Phylum / Clostridial Cluster XIVa
• Significant negative correlations were observed between body weight
and Bacteroidetes Phylum
HF
HF+T2
HF+T1
INTERACTIONS BETWEEN FUNCTIONAL FOOD COMPONENTS
AND THE GUT MICROBIOTA
Laparra & Sanz. Pharmacol Res 2010;61:219-25
LOS COMPUESTOS BIOACTIVOS TAMBIÉN EJERCEN EFECTOS
SIGNIFICATIVOS SOBRE EL AMBIENTE INTESTINAL MODULANDO LA
COMPOSICIÓN DE LA MICROBIOTA INTESTINAL CON REPERCUSIÓN A
NIVEL TISULAR
LA MICROBIOTA INTESTINAL EJERCE UN GRAN IMPACTO SOBRE EL
ESTADO NUTRICIONAL Y LA SALUD DEL HUESPED MEDIANTE LA
MODULACIÓN DEL SISTEMA INMUNITARIO Y LAS FUNCIONES
METABÓLICAS.
EL MICROBIOMA PROPORCIONA ACTIVIDADES ENZIMÁTICAS
ADICIONALES IMPLICADAS EN LA TRANSFORMACIÓN DE LOS
COMPUESTOS DIETARIOS.
www.ellecenter.it
Esther
Nova
L.Esperanza
Díaz
Sonia
Gómez
Jorge R.
Mujico
Aurora
Hernández
Ana M.
Veses
Belén
Zapatera
Alina
Gheorghe Noemí
Redondo
Ascensión Marcos
Julia Wärnberg Fátima Pérez de Heredia Tamara Pozo
David Martínez-Gómez