• Aucun résultat trouvé

Investigating in vitro digestion of food models to explain in vivo micronutrient bioavailability

N/A
N/A
Protected

Academic year: 2021

Partager "Investigating in vitro digestion of food models to explain in vivo micronutrient bioavailability"

Copied!
17
0
0

Texte intégral

(1)

HAL Id: hal-02100429

https://hal.archives-ouvertes.fr/hal-02100429

Submitted on 2 Jun 2020

HAL is a multi-disciplinary open access

archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Investigating in vitro digestion of food models to explain

in vivo micronutrient bioavailability

Manon Hiolle, Beatrice Gleize, N. Meunier, B. Pereira, R. Richard, Isabelle

Savary-Auzeloux, Marie-Agnès Peyron, Catherine Veyrat, Olivia Ménard,

Caroline Buffière, et al.

To cite this version:

Manon Hiolle, Beatrice Gleize, N. Meunier, B. Pereira, R. Richard, et al.. Investigating in vitro digestion of food models to explain in vivo micronutrient bioavailability. 6.International Conference on Food Digestion, Apr 2019, Grenade, Spain. 2019. �hal-02100429�

(2)

Investigating in vitro digestion of food models

to explain in vivo micronutrient bioavailability

(3)

Nutritional quality : beyond food composition

FOOD

Blo o d stre am

DIGESTION :

Complex processing of

food disintegration

for delivery of nutrients

Interactions

A composition

A structure

« Food, not nutrients, is the fundamental

unit in nutrition »

(4)

3

Nutritional quality : beyond food composition

Food structure

Metabolic

fate of

nutrients

Models micronutrients :

- vitamins B9 and B12

- vitamin D and Lutein

Bioaccessibility

Metabolic responses

Kinetics

Bioavailaibility

Macronutrients : ☑

Micronutrients : composition effect

versus structure effect ?

(5)

4

Strategy : clinical study conduct

Four productswithidenticalcomposition

Custard

Pudding

Sponge cake

Biscuit

Water

content

+

-Clinical study

• 12 healthy male subjects

• 20 to 30 years old

• Cross-over experimental design

Enriched with the four

micronutrients studied

• 8 hours postprandial follow-up

• Hourly blood samples and

plasma separation by

centrifugation

Bioavailability

• Absorption kinetics: quantitative

analysis of micronutrients in

plasma or chylomicrons

Liquid

Soft gel

Foamy solid

Hard solid

Results for B9 : poster

n°378/214, session 2

(6)

5

Strategy : development of food models

Matrices

Biscuit

Sponge cake

Pudding

Custard

Photo

Water content

6 %

38 %

48 %

68 %

Heating

treatment

180 °C/18 min

180 °C/30 min

180 °C/20 min

110 °C/20 min

80 °C/7 min

Portion size

135 g

206 g

242 g

512 g

Same composition

on dry matter :

- 17 % proteins

- 52 % carbohydrates

- 30 % lipids

: lipids (Red Nile)

: proteins (Fast Green)

Enriched in (per portion) :

-

Lutein : 20 mg

-

Vitamin D : 1,25 mg

-

B9 : 1 mg

(7)

Results - clinical study

0

5

10

15

20

25

30

35

40

45

50

0

60 120 180 240 300 360 420 480

Dc

on

ten

t

of l

ut

ein

(nmol

/L)

Time after meal ingestion (min)

Mean ± SEM

0

2

4

6

8

10

12

0

60 120 180 240 300 360 420 480

Dc

on

ten

t

of v

it

amin D

3

(nmol

/L

)

Time after meal ingestion (min)

Mean ± SEM

Extraction of 2

parameters from the

curves :

- TAmax : Time of

maximal

absorption

- AUC : Area under

the curve

(8)

7

Results - clinical study

Later TAmax for harder

texture

0

50

100

150

200

250

300

350

TAma

x

(mi

n)

Time of maximal

concentration

a

b

b

b

a

b

b

b

0

200

400

600

800

1000

1200

1400

1600

Biscuit

Sponge

cake

Pudding Custard

A

UC

Area under the curve

Hardness

+

-a

a,b

a,b

b

a,b

a

b

a

Hardness

+

-

Vitamin D

Lutein

Tendency to higher total

bioavailability for softer

matrices

(9)

Research question and strategy

Food structure impacts kinetics of matrix disintegration during digestion

Can we explain in vivo digestion mechanisms

by using an in vitro digestion model ?

Following INFOGEST in vitro protocol with special

conditions :

Use of human saliva in oral phase (mix 1:1)

Constant water content between matrices

(difference adjustment with water)

Focus point :

Matrix disintegration

Proteolysis

Lipolysis

Amylolysis

Release of micronutrients

(lutein and vitamin B9)

(Minekus, 2014)

Digestion kinetics

(S0, G0, G30, G120,

I0, I30, I120)

(10)

9

Principal component analysis – graph of variables

-1.0 -0.5 0.0 0.5 1.0 -1 .0 -0 .5 0 .0 0 .5 1 .0

ACP n°1 : Graphe des variables

Dim 1 (59.98%) D im 2 ( 1 2 .2 9 % ) Glc Lip Lut FA Brad AireTot MKJ OPA Classe1 Classe2 Classe3 Classe4 Classe5 Classe6 Classe7Glyc TAG AGL CHOL DAG MAG PL LipTot Temps

Axis n°2 :

Solubilization of macronutrients

in the supernatant

Axis n°1 :

Hydrolysis of

macronutrients

Axis n°1 :

- Low molecular weight peptides (< 25 kDa) and free

amino group content

- FFA, MAG and DAG

- Carbohydrates less than 10 glucose units equivalent

Hydrolysis of macronutrients

Axis n°2 :

- High molecular weight peptides (> 100 kDa)

- Triglycerides and total lipids

Solubilization of macronutrients in the

supernatant

(11)

Principal component analysis – map of individuals

Axis n°2 :

Solubilization of macronutrients

in the supernatant

Axis n°1 :

Hydrolysis of

macronutrients

-6 -4 -2 0 2 4 6 8 -5 0 5 10

ACP n°1 : Graphe des individus

D im 2 ( 1 2 .2 9 % ) 22 36 57 23 37 58 24 38 59 25 3960 26 40 61 27 41 62 28 42 63 1 50 71 2 51 72 3 52 73 4 5374 5 5475 6 55 76 7 56 77 15 43 64 16 4465 17 45 66 1846 67 19 47 68 20 48 69 21 49 70 8 29 78 9 30 79 10 31 80113281 12 33 82 13 34 83 14 3584 B CA F G G0 G120 G30 I0 I120 I30 S0 B CA F G

1°) Grouped by

matrix : no matrix

effect highlighted

2°) Grouped by digestion

time : evidence of a strong

"digestion time" effect on

individuals

Samples split according

to digestion time

Oral phase

Gastric

phase

Intestinal

phase

(12)

11

-4 -2 0 2 4 6 -4 -2 0 2 4 Dim 1 (49.30%) D im 2 ( 2 8 .4 4 % ) B.S0 B.G0 B.G30 B.G120 B.I0 B.I30 B.I120 CA.S0 CA.G0 CA.G30 CA.G120 CA.I0 CA.I30 CA.I120 F.S0 F.G0 F.G30 F.G120 F.I0 F.I30 F.I120 G.S0 G.G0 G.G30 G.G120 G.I0 G.I30 G.I120 B CA F G S0 G0 G30 G120 I0 I30 I120

Multiple factor analysis – map of individuals

Axis n°2 :

Solubilization of macronutrients

in the supernatant

Axis n°1 :

Hydrolysis of

macronutrients

Matrix effect highlighted by this analysis

- Axis n°1 isolates biscuit

- The 3 softer matrices are separated along the axis n°2

Focus on custard behavior during in vitro digestion :

- Oral phase : macronutrients solubilized in the

supernatant

- Gastric phase : drop in pH leads to macronutrients

aggregation

- Intestinal phase : re-solubilization and hydrolysis of

macronutrients

Water

content

Heat

treatment

-4 -2 0 2 4 6

-4

-2

0

2

4

Dim 1 (49.30%)

D

im

2

(

2

8

.4

4

%

)

B.S0 B.G0 B.G30 B.G120 B.I0 B.I30 B.I120 CA.S0 CA.G0 CA.G30 CA.G120 CA.I0 CA.I30 CA.I120 F.S0 F.G0 F.G30 F.G120 F.I0 F.I30 F.I120 G.S0 G.G0 G.G30 G.G120 G.I0 G.I30 G.I120 B CA F G S0 G0 G30 G120 I0 I30 I120

(13)

AGL > 100 kDa 50 kDa 25 kDa 10 kDa 5 kDa 1 kDa < 1 kDa DAG B9 Glc Glyc Lip Lut MAG MKJ OPA TAG AGL 0.1752 0.0505 0.6405 <.0001 <.0001 <.0001 <.0001 <.0001 0.0131 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 > 100 kDa 0.1752 0.7055 0.4193 0.2575 0.1624 0.2762 0.5820 0.1630 0.0032 0.0627 0.4111 0.3951 0.0758 0.2104 0.5493 0.1655 0.0103 50 kDa 0.0505 0.7055 <.0001 0.2164 0.6387 <.0001 <.0001 0.0923 0.6511 0.1283 0.0338 0.0200 0.1880 0.1097 0.0260 0.0166 0.0162 25 kDa 0.6405 0.4193 <.0001 0.4850 0.0662 0.0197 0.0117 0.9289 0.5243 0.9186 0.7120 0.2819 0.6995 0.8595 0.6308 0.4731 0.4055 10 kDa <.0001 0.2575 0.2164 0.4850 <.0001 <.0001 <.0001 <.0001 0.1846 <.0001 <.0001 0.0002 <.0001 0.0007 <.0001 <.0001 0.0057 5 kDa <.0001 0.1624 0.6387 0.0662 <.0001 <.0001 <.0001 <.0001 0.2743 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 0.0002 1 kDa <.0001 0.2762 <.0001 0.0197 <.0001 <.0001 <.0001 <.0001 0.3762 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 < 1 kDa <.0001 0.5820 <.0001 0.0117 <.0001 <.0001 <.0001 <.0001 0.0172 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 DAG <.0001 0.1630 0.0923 0.9289 <.0001 <.0001 <.0001 <.0001 0.0074 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001

B9

0.0131

0.0032

0.6511

0.5243

0.1846

0.2743

0.3762

0.0172

0.0074

0.0278

0.0240

0.0325

0.1914

0.0385

0.0308

0.0034

0.0017

Glc <.0001 0.0627 0.1283 0.9186 <.0001 <.0001 <.0001 <.0001 <.0001 0.0278 <.0001 <.0001 0.0001 <.0001 <.0001 <.0001 <.0001 Glyc <.0001 0.4111 0.0338 0.7120 <.0001 <.0001 <.0001 <.0001 <.0001 0.0240 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 Lip <.0001 0.3951 0.0200 0.2819 0.0002 <.0001 <.0001 <.0001 <.0001 0.0325 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001

Lut

<.0001

0.0758

0.1880

0.6995

<.0001

<.0001

<.0001

<.0001

<.0001

0.1914

0.0001

<.0001

<.0001

0.0005

<.0001

<.0001

0.1704

MAG <.0001 0.2104 0.1097 0.8595 0.0007 <.0001 <.0001 <.0001 <.0001 0.0385 <.0001 <.0001 <.0001 0.0005 <.0001 <.0001 <.0001 MKJ <.0001 0.5493 0.0260 0.6308 <.0001 <.0001 <.0001 <.0001 <.0001 0.0308 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 OPA <.0001 0.1655 0.0166 0.4731 <.0001 <.0001 <.0001 <.0001 <.0001 0.0034 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001

(14)

13

Matrix of Pearson correlations – p-values

Vitamin B9 correlates with :

- Solubilization of macronutrients (TAG, total lipids,

high weight class of proteins)

- Markers of matrix disintegration (lipolysis,

proteolysis, amylolysis)

Lutein correlates with :

- Markers of matrix disintegration

(lipolysis, proteolysis, amylolysis)

Hydrolysis of all macronutrient classes has an

impact on micronutrients release from the matrix

The key factor of micronutrients

bioaccessibility seems to be matrix disintegration

TAG

Total

lipids

FFA

DAG

MAG

FFA/

tot lip

Total

nitrogen

> 100

kDa

50 kDa 25 kDa

10 kDa 5 kDa

1 kDa < 1 kDa

Free

amino

Glc

B9

Lut

B9

0.0017 0.0240 0.0131 0.0074 0.0385 0.0325 0.0308

0.0032 0.6511 0.5243 0.1846 0.2743 0.3762 0.0172 0.0034 0.0278

0.1914

Lut

0.1704 <.0001 <.0001 <.0001 0.0005 <.0001 <.0001

0.0758 0.1880 0.6995 <.0001 <.0001 <.0001 <.0001 <.0001 0.0001 0.1914

Lipolysis

Proteolysis

Amylolysis

Lipids in

supernatant

Proteins in

supernatant

(15)

Lutein is released continuously

during digestion

→ driven by proteolysis ?

Release of B9 mainly during

gastric step: impacted by

solubilization of macronutrient

Drop in B9 bioaccessibility in

intestinal phase : low solubility

at neutral pH

0

50

100

150

200

250

0

20

40

60

80

100

120

140

B9

bi

oacce

ssi

bi

lit

y (

µg)

Lute

in

bi

oacce

ssi

bi

lit

y (

%)

Lutein

B9

Oral phase

pH 6,5

amylase

Gastric phase

pH 3

protease

Intestinal phase

pH 7

protease

lipase

amylase

(16)

15

Conclusion and perspectives

Is the structure solely involved in bioavailability

differences observed in vivo?

→ In vitro dynamic study using the DIDGI to better

mimic physiological responses during digestion

(gastric emptying, progressive addition of enzymes, etc.)

Food structure impacts kinetics of matrix disintegration during digestion

(17)

Béatrice Gleize

Catherine Caris-Veyrat

Emmanuelle Reboul

Isabelle Savary-Auzeloux

Caroline Buffière

Nathalie Meunier

Ruddy Richard

Bruno Pereira

Françoise Nau

Didier Dupont

Olivia Menard

Nathalie Boulier-Monthean

Jordane Ossemond

Thank you

for your

attention

If you want more information :

manon.hiolle@inra.fr

Références

Documents relatifs

The soluble proteins of the digesta collected throughout the digestive tract of broilers fed 4 dif- ferent protein sources were analyzed by SDS-PAGE, and a proteomic analysis of

The pH-stat method, one of the most commonly used methods for monitoring pancreatic lipolysis, can also be used, but three sources of errors should be taken into consideration: (i)

Using the same incubation protocol as the first experiment, a second trial measured the effect of substrate type and incubation time (0, 72 and 144 h) on the dry matter (IVDMD),

Thus, regarding the duodenal pH, no significant (p &gt; 0.05) difference occurred between the omelet and the hard-boiled egg at any digestion time, whereas the mousse resulted

Effect of the technological treatments on the digestion of infant foods.. STLOpen Days 19-21 March 2019.. Process

The digestion of caseins and soluble proteins differed in both the intestinal kinetics and the molecular weight of the peptides in the jejunum.. The differential intestinal

Ce modèle a été utilisé pour évaluer la vidange gastrique, la cinétique d’acidification gastrique suite à l’ingestion de repas à base de protéines de lait et/ou de soja

Dans les digesta gastriques, les teneurs en protéines solubles des digesta issus de viande bien cuite (digesta BC) sont largement inférieures à celles des digesta issus de