low molecular weight fractions of bimuno® exert immunostimulatory properties in murine macrophages
TRANSCRIPT
J O U R N A L O F F U N C T I O N A L F O O D S 4 ( 2 0 1 2 ) 9 4 1 – 9 5 3
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Low molecular weight fractions of BiMuno� exertimmunostimulatory properties in murine macrophages
Laura E.J. Searlea,*, Gareth Jonesa, George Tzortzisb, Martin J. Woodwarda,c,Robert A. Rastallc, Glenn R. Gibsonc, Roberto M. La Ragionea,d
aDepartment of Bacteriology, Animal Health and Veterinary Laboratories Agency (AHVLA), Weybridge, Woodham Lane, New Haw,
Addlestone, Surrey KT15 3NB, UKbClasado Ltd., 5 Canon Harnett Court, Wolverton Mill, Milton Keynes MK12 5NF, UKcDepartment of Food and Nutritional Sciences, University of Reading, Whiteknights, Reading RG6 6UR, UKdDepartment of Microbial and Cellular Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey GU2 7XH, UK
A R T I C L E I N F O A B S T R A C T
Article history:
Received 18 March 2012
Received in revised form
24 June 2012
Accepted 15 July 2012
Available online 29 August 2012
Keywords:
Galactooligosaccharide (GOS)
Prebiotic
Immuno-modulation
Macrophages
Pro-inflammatory response
1756-4646/$ - see front matter Crown Copyrhttp://dx.doi.org/10.1016/j.jff.2012.07.002
* Corresponding author. Tel.: +44 01932 359E-mail address: [email protected]: GOS, galactooligosaccharide
Previous in vivo murine oral challenge studies have shown that the galactooligosaccharide
containing product, BiMuno�, reduced colonisation of S. Typhimurium. To gain further
insights into the mechanism of reduced colonisation, we wished to test the hypothesis that
the low molecular weight fractions of BiMuno� or a specific low molecular weight fraction
may have direct immuno-modulatory effects on murine macrophages. Cytokine responses
of murine macrophages in response to the commercially available product, BiMuno�, a
basal solution BiMuno� without GOS, purified low molecular weight fractions (referred to
as GOS), and the individual fractions of GOS (DP2, 3 and P4, with each fraction represent-
ing the increasing degree of complex polymerisation) were determined in vitro and ex vivo.
These studies demonstrated that BiMuno�, significantly stimulated both pro- and anti-
inflammatory cytokines in vitro (P 6 0.0394). Furthermore, the data indicate that the low
molecular weight fractions may be the primary stimulant of BiMuno� and specifically its
tri (DP3) and Ptetra-saccharide (DP P 4) fractions (P 6 0.0394).
Crown Copyright � 2012 Published by Elsevier Ltd. All rights reserved.
1. Introduction
Prebiotics have been defined as ‘‘a selectively fermented
ingredient that allows specific changes both in the composi-
tion and/or activity in the gastrointestinal microbiota that
confers benefits upon host well-being and health’’ (Gibson,
Probert, Van Loo, Rastall, & Roberfroid, 2004). Diets fortified
with prebiotic oligosaccharides, such as galactooligosaccha-
ride (GOS), increase numbers of bifidobacteria and lactobacilli
in the colon following a short feeding period (Gibson & Rober-
froid, 1995; Macfarlane, Steed, & Macfarlane, 2008; Tzortzis,
ight � 2012 Published by
478; fax: +44 01932 347(L.E.J. Searle).; AHVLA, Animal Health
Goulas, Gee, & Gibson, 2005a). Also, a growing body of evi-
dence suggests that prebiotics are associated with reducing
gastrointestinal colonisation by pathogens such as Salmonella
spp. (Agunos, Ibuki, Yokomizo, & Mine, 2007; Bailey, Blanken-
ship, & Cox, 1991; Searle et al., 2009; Spring, Wenk, Dawson, &
Newman, 2000). The administration of mannan-oligosaccha-
ride (MOS) in feed was associated with significant reductions
in numbers of S. Typhimurium recovered from the caeca of
chickens (Spring et al., 2000) and it has been demonstrated
that b 1–4 mannobiose reduced the invasion of S. Enteritidis
into the liver of chickens and reduced faecal shedding of
Elsevier Ltd. All rights reserved.
046.
and Veterinary Laboratories Agency; DP, degree of polymerisation
942 J O U R N A L O F F U N C T I O N A L F O O D S 4 ( 2 0 1 2 ) 9 4 1 – 9 5 3
the Salmonellae (Agunos et al., 2007). Our previous studies
demonstrated that BiMuno�, which contains the prebiotic
GOS, orally administered to mice was not only associated
with significantly reduced gastrointestinal colonisation and
systemic spread by S. Typhimurium but also alleviation of clin-
ical symptoms and pathology (Searle et al., 2009).
At present, the exact mechanisms of action of prebiotics
on reducing the carriage of pathogens remains largely un-
known. It is feasible that prebiotics reduce pathogen carriage
through microbiota dependent or independent immuno-
modulation (Macfarlane et al., 2008). The administration of
fructooligosaccharide (FOS), b 1–4 mannobiose, short chain
GOS/long chain FOS, cycloinulooligosaccharides or b-glucan
in feeds have been associated with increased production of
secretory IgA (sIgA) (Agunos et al., 2007; Benyacoub et al.,
2008; Hosono et al., 2003; Ishikawa & Nanjo, 2009; Lowry
et al., 2005; Scholtens et al., 2008). Furthermore, following
administration of FOS to BALB/c mice, sIgA was detected in
the Peyer’s patches (Hosono et al., 2003). Additionally, b-glu-
can, FOS and GOS have been associated indirectly with al-
tered host cytokine and cellular responses (Hosono et al.,
2003; Jung, Ha, Ha, & Han, 2004; Lowry et al., 2005; Vulevic,
Drakoularakou, Yaqoob, Tzortzis, & Gibson, 2008). To date,
no evidence is available addressing the question as to
whether or not GOS elicits host immune responses directly,
whereas published data illustrating the direct cytokine and
cellular effects of inulin, b-glucan and acidic human milk oli-
gosaccharides (HMO) on macrophages and T cells in vitro ex-
ists (Eiwegger et al., 2004; Kataoka, Muta, Yamazaki, &
Takeshige, 2002; Lee et al., 2001; Vos, M’Rabet, Stahl, Boehm,
& Garssen, 2007). We hypothesise that GOS stimulates the im-
mune system directly, through interacting with antigen pre-
senting cells such as macrophages. For example,
stimulation of antigen presenting cells to secrete pro-inflam-
matory cytokines may aid in pathogen clearance through
activation of macrophages to phagocytose the pathogen and
aid lymphocyte recruitment (Balaram, Kien, & Ismail 2009;
Michetti, Mahan, Slauch, Mekalanos, & Neutra 1992). In this
study, in vitro and ex vivo cytokine studies were utilised to test
this hypothesis; to determine whether low molecular weight
fractions of BiMuno�, and specifically which low molecular
weight fraction(s) of BiMuno�, have direct immuno-modula-
tory properties on murine macrophages.
2. Materials and methods
2.1. Test substances
2.1.1. BiMuno�
The GOS mixture (BiMuno�, Clasado Ltd, Milton Keynes, UK)
used in this study was produced from the activity of galac-
tosyltransferases from Bifidobacterium bifidum NCIMB 41171
using lactose as substrate (Tzortzis et al., 2005a; Tzortzis,
Goulas, & Gibson, 2005b). It has been shown to consist of
galactooligosaccharides in mainly the b 1–3, b 1–4, and b 1–6
linkages, as well as a disaccharide fraction of a 1–6 galactobi-
ose (Depeint, Tzortzis, & Vulevic, 2008; Tzortzis et al., 2005a).
Additionally, BiMuno� contains glucose, galactose and lactose
(which are involved in the manufacturing process) and the
stabilisers maltodextrin and gum arabic. In all assays, whole
BiMuno� was used at �5 mg ml�1. In all assays referring to fil-
tered BiMuno�, �5 mg ml�1 solutions were prepared and sub-
sequently filtered using a 0.22 lm filter (Sartorius stedim) to
remove bacterial debris, which is present due to the manufac-
turing process of the product. The syringe filters were made of
surfactant free cellulose acetate and function to remove
microorganisms, particles and precipitates larger than
0.2 lm from aqueous solutions.
2.1.2. BiMuno� without GOSBiMuno� without GOS was prepared to contain all of the sug-
ars in the commercially available BiMuno� product with the
exception of the low molecular weight fractions (referred to
as GOS). When diluted to 2.5 mg ml�1 BiMuno� without GOS
contained glucose (0.26 mg ml�1), galactose (0.25 mg ml�1),
lactose (1.3 mg ml�1), and the processing aids (maltodextrin
and gum arabic) (0.7 mg ml�1), representing 50% of the total
composition of BiMuno�. This was determined by isocratic
high performance liquid chromatography (HPLC) using an
Aminex HPX-87C Ca+2 resin-based column (Bio-Rad Laborato-
ries Ltd, UK) and high performance anion-exchange chroma-
tography coupled with pulsed amperometric detection
(HPAEC-PAD) using a pellicular anion-exchange resin based
column CarboPac PA-1 (Dionex Chromatography, Surrey, UK)
(Osman, Tzortzis, Rastall, & Charalampopoulos, 2010). In all
assays BiMuno� without GOS was used at �2.5 mg ml�1 as
these sugars make up 50% of BiMuno�. Solutions were filtered
prior to use in assays (0.22 lm filter, Sartorius stedim).
2.1.3. GOSThe various oligosaccharide fractions were purified from pre-
filtered BiMuno� by gel filtration on a Biogel P2 (Pharmacia)
column eluted at 3 ml min�1 with water (Tzortzis et al.,
2005a). This column allows the elution of compounds of be-
tween 100 and 1800 Da molecular weight. Individual fractions
were combined to create the low molecular weight complex
(referred to as GOS) equivalent to that found in BiMuno�
and this was used at a concentration of �2.5 mg ml�1 in all as-
says as GOS makes up 50% BiMuno�. In instances where the
individual fractions were used they were used at the following
concentrations; �1.1 mg ml�1 for DP2 (disaccharide),
�1.2 mg ml�1 for DP3 (trisaccharide) and �0.2 mg ml�1 for
DP P 4 (P tetrasaccharide). Solutions of GOS or the individual
fractions were filtered prior to use in assays (0.22 lm filter,
Sartorius stedim).
2.2. In vitro cytokine assays using murine macrophages
The BALB/c derived murine macrophages (RAW264.7), were
seeded at 2 · 105 cells ml�1 into T25 flasks (Nunc) and cul-
tured using standard procedures with Dulbecco’s Modified Ea-
gle’s Medium (DMEM) (Sigma–Aldrich) supplemented with
foetal calf serum (10%), 100x non-essential amino acids
(1%), 2 mM L-glutamine and gentamicin (50 lg ml�1) (Sigma–
Aldrich) for 48 h. Monolayers (that were P80% confluent)
were washed twice with Hanks balanced salts solution (HBSS)
(Sigma–Aldrich) to remove cell debris and residual gentami-
cin. Inocula (Table A.1) were prepared and delivered in indi-
vidual 10 ml volumes and were subsequently incubated at
37 �C, in the presence of 5% CO2, for the time points indicated
Table A.1 – Experimental designs for in vitro and ex vivo murine macrophage experiments.
Experimentalnumber
Experimentalname
Assaydetails
Testcondition
Timepoint (hours)
Cytokinestested
1 BiMuno�,
BiMuno� without GOS,
GOS
In vitro Negative 2,4,6 IFN-c, TNF-a, IL-2, IL-4, IL-6, IL-10, IL-12p70
BiMuno� 2,4,6 IFN-c, TNF-a, IL-2, IL-4, IL-6, IL-10, IL-12p70
Filtered BiMuno� 2,4,6 IFN-c, TNF-a, IL-2, IL-4, IL-6, IL-10, IL-12p70
Filtered BiMuno�
without GOS
2,4,6 IFN-c, TNF-a, IL-2, IL-4, IL-6, IL-10, IL-12p70
Filtered GOS 2,4,6 IFN-c, TNF-a, IL-2, IL-4, IL-6, IL-10, IL-12p70
2 GOS fractions In vitro Negative 2,4,6 TNF-a
BiMuno� 2,4,6 TNF-a
Filtered GOS 2,4,6 TNF-a
Filtered DP2 2,4,6 TNF-a
Filtered DP3 2,4,6 TNF-a
Filtered DP4 2,4,6 TNF-a
3 BiMuno�, BiMuno� without GOS,
GOS and its fractions
Ex vivo Negative 6 TNF-a
BiMuno� 6 TNF-a
Filtered BiMuno� 6 TNF-a
Filtered BiMuno�
without GOS
6 TNF-a
Filtered GOS 6 TNF-a
Filtered DP2 6 TNF-a
Filtered DP3 6 TNF-a
Filtered DP4 6 TNF-a
J O U R N A L O F F U N C T I O N A L F O O D S 4 ( 2 0 1 2 ) 9 4 1 – 9 5 3 943
in Table A.1. Stimulation assays were conducted over a two-
six hour time point range as initial experiments showed that
six hours was sufficient to detect cytokine responses pro-
duced by murine macrophages. After the required time point
supernatants were harvested, filtered (0.22 lm filter, Sartorius
stedim) and stored at �80 �C. All assays were conducted in
duplicate on two consecutive days with lipopolysaccharide
(LPS, derived from E. coli O55:B5) (Sigma–Aldrich) (10 lg ml�1)
and concavalin A (ConA) (Sigma–Aldrich) (32 lg ml�1) serving
as positive controls. Samples were analysed using murine
specific cytokine plates (Meso-Scale Discovery (MSD)) as de-
scribed in subsequent sections.
2.3. Ex vivo cytokine assays on murine macrophages
2.3.1. Murine peritoneal lavageFifty, twelve-week-old female BALB/c (Charles, River) mice,
housed in accordance with UK animal welfare regulations,
were used to harvest peritoneal macrophages. Groups of five
mice were euthanized with CO2, positioned on their dorsal
recumbency and sprayed with 70% (v/v) ethanol. Then, 5 ml
of ice-cold DMEM (supplemented with foetal calf serum
(10%), 100· non-essential amino acids (1%), 2 mM L-glutamine
(Sigma–Aldrich) and Penicillin/Streptomycin (200U/200 lg,
respectively) (Invitrogen)) was injected into the peritoneal
cavity. The abdomen of the mice was then massaged for
two minutes prior to the abdominal cavity being opened asep-
tically. The peritoneal fluid was then harvested aseptically
using a Pastette, passed through a 40 lm cell strainer (BD Bio-
sciences), and checked for any bacterial contamination
microscopically using a Leica DFC320 light microscope (Leica
Microsystems). Those cell suspensions that were not contam-
inated were centrifuged at 550 · g for 10 min and the cellular
pellet resuspended in DMEM (as mentioned above). Cells were
seeded at 1–5 · 106 cells ml�1 in 24 well plates (Nunc) and
incubated at 37 �C, in the presence of 5% CO2, for 4 h to allow
the cells to adhere. Following this, cells were washed three
times with pre-warmed HBSS to remove any non-adherent
cells, the medium was replaced and the cells were main-
tained for 16 h at 37 �C, in the presence of 5% CO2. Following
a 16 h incubation, cells were washed twice with pre-warmed
HBSS to remove residual antibiotics, prior to delivery of the
inocula (Table A.1) in 1 ml volumes with LPS and ConA serv-
ing as positive controls. No regulated procedures were per-
formed, however all of the above studies were approved by
the local Animal Health and Veterinary Laboratories Agency
ethics committee.
2.4. Quantification of cytokine responses
Quantification of murine specific IFN-c, TNF-a, IL-2, IL-4, IL-6,
IL-10 and IL-12p70 (Th1 and Th2) cytokines in the superna-
tants of samples were conducted using the Meso-Scale Dis-
covery (MSD) 7-plex cytokine plate coupled to a Sector
Imager 6000 (MSD) reader as instructed by the manufacturer.
This sandwich ELISA technology allowed for the simulta-
neous quantification of 7 cytokines in the supernatants by
extrapolation against a known standard curve (0–
40,000 pg ml�1 mix containing the cytokines mentioned
above).
In essence, plates were incubated for 2 h at ambient tem-
perature with agitation (600 rpm) with samples or known
standards. Subsequently, plates were incubated (as men-
tioned above) with detection antibody (1 lg ml�1 anti-cyto-
kine antibody labelled with MSD SULFO-TAG + 0.7% bovine
gamma globulin) for 2 h and washed three times with
PBS + 0.05% (w/v) Tween. 2· read buffer (containing surfac-
tant) was added immediately prior to the plates being read
944 J O U R N A L O F F U N C T I O N A L F O O D S 4 ( 2 0 1 2 ) 9 4 1 – 9 5 3
using the Sector Imager 6000 (MSD) which detects chemilumi-
nescence generated by the samples and quantifies the
amount of cytokine present by extrapolation against a stan-
dard curve.
The MSD TNF-a single-plex plate coupled to the Sector Im-
ager 6000 (MSD) was used, as instructed by the manufacturer,
to quantify murine specific TNF-a cytokines in the superna-
tants. The principle of the technique is that for the 7-plex kits,
however, in these instances only levels of TNF-a were quanti-
fied against a TNF-a standard curve (0–40,000 pg ml�1).
2.5. Analysis of potential GOS contamination by LPS bygel electrophoresis and cytokine assays
Samples of GOS were prepared (as described above) and then
separated by SDS gel electrophoresis according to the manu-
facturers instructions (NuPAGE� Novex 4–12% Bis–Tris Gel,
Invitrogen). Specifically, �25 mg ml�1 of GOS test samples
and 1 lg of LPS were centrifuged at 4000 · g through a 5 KDa
molecular weight cut off filter (Sartorius Stedim) and the
retentate and eluent collected. Polyacrylamide gels were then
loaded with GOS retentate (�25 mg ml�1), Novex Sharp Pro-
tein Standard (Invitrogen), GOS eluent (�2.5 mg ml�1), �1 mg
GOS, �0.1 mg GOS, 0.1 M PBS pH7.2, 1 lg LPS retentate, 1 lg
LPS eluent, LPS (10 lg and 50 ng). LPS was subsequently visu-
alised by silver staining, as previously described by Tsai and
Frasch (1982).
For cytokine assays T25 flasks of RAW264.7 cells were sub-
sequently incubated at 37 �C in the presence of 5% CO2 for 6 h
with the following inocula; media alone, or media containing
�25 mg GOS (�2.5 mg ml�1), 2.5 ng LPS (250 pg ml�1), 5 ng LPS
(500 pg ml�1), 50 ng LPS (5 ng ml�1), 125 ng LPS (12.5 ng ml�1),
250 ng LPS (25 ng ml�1), 500 ng LPS (50 ng ml�1), 5 lg LPS
(500 ng ml�1), 10 lg LPS (1 lg ml�1), 25 lg LPS (2.5 lg ml�1),
50 lg LPS (5 lg ml�1), 100 lg LPS (10 lg ml�1). Following incu-
bation the supernatants were harvested, filtered (0.22 lm fil-
ter, Sartorius stedim) and stored at �80 �C. Assays were
conducted in duplicate on two consecutive days. Samples
were analysed using murine specific cytokine plates (Meso-
Scale Discovery (MSD)) as described above.
2.6. Statistical analysis
Statistical analysis was carried out on complete data sets by
transforming the data onto the log2 scale and using Dunnetts
pair-wise statistical tests to compare differences induced by
all of the treatment regimes. All comparisons were based on
95% confidence intervals on the log2 scale and their associ-
ated P-value calculated (given to 4 decimal places).
3. Results
3.1. In vitro cytokine assays
3.1.1. Cytokine responses of RAW264.7 cells exposed toBiMuno�, BiMuno� without GOS and GOSRAW264.7 cells were incubated in the presence of BiMuno�,
filtered BiMuno�, filtered BiMuno� without GOS or filtered
GOS (equivalent to concentrations of 5 mg ml�1 BiMuno�)
with 2, 4 and 6 h incubation. BiMuno� alone, filtered BiMuno�
and filtered GOS induced significant increases in the produc-
tion of Th1 and Th2 cytokines when compared to negative
controls (Fig. B.1). Specifically, significant increases in TNF-a,
IL-2, IL-4, IL-6, IL-10 and IL-12p70 were detected in the super-
natants of RAW264.7 cells (P 6 0.0394) notably at 6 h after
exposure (Fig. B.1 and Table S.1). We note that although statis-
tically significant, only relatively marginal increases in IL-2,
IL-4 and IL-12p70 production were observed when compared
to TNF- a and IL-6 production. Filtered BiMuno� without
GOS did not induce significant changes in TNF-a, IL-6, IFN-c
or IL-12p70 cytokine production of RAW264.7 cells compared
to negative controls and, although significant, only marginal
increases in IL-2, IL-4 and IL-10 production (P 6 0.0426)
(Table S.1). Additionally, BiMuno�, filtered BiMuno� and fil-
tered GOS induced significant increases in TNF-a, IL-2, IL-6
and IL-10 production when compared to filtered BiMuno�
without GOS treated cells (P 6 0.0276) (Table S.1). Further-
more, BiMuno� and filtered GOS induced significant increases
in TNF-a, IL-2, IL-10 and IL-12p70 production when compared
to filtered BiMuno� treated cells (P 6 0.0286) (Table S.1). These
data suggest that the GOS component conveys immuno-stim-
ulatory properties which raised the question of whether this
could be attributed to a specific fraction of GOS.
3.1.2. Cytokine responses of RAW264.7 cells exposed to GOSfractionsRAW264.7 cells were incubated in the presence of filtered DP2,
filtered DP3 and filtered DP P 4 or BiMuno� and filtered GOS
as controls (equivalent to concentrations of 5 mg ml�1 BiMu-
no�), with 2, 4 and 6 h incubation. In this experiment, only
levels of TNF-a were quantified, partly due to large TNF-a re-
sponses detected in the experiments described above (1.3.1.1)
being indicative of immuno-stimulation and for cost reasons.
All fractions of GOS induced significant increases in TNF-a
production by RAW264.7 cells when compared to negative
controls (P 6 0.0019) notably at 4 and 6 h. DP3 and DP P 4 frac-
tions of GOS induced significant increases in TNF-a produc-
tion when compared to the DP2 (P 6 0.0213) notably at 4 and
6 h (Fig. C.1 and Table S.2). In the control experiments, BiMu-
no� alone and filtered GOS significantly increased TNF-a pro-
duction across the 2–6 h time points (P 6 0.0002) (Table S.2)
confirming the previous tests.
3.2. Ex vivo cytokine assays
Ex vivo harvested macrophages derived from BALB/c mice
were incubated in the presence of the test substances BiMu-
no�, filtered BiMuno�, filtered BiMuno� without GOS, filtered
GOS and the individual fractions that comprise GOS (DP2, 3
and P4) with 6 h incubation. With the exception of BiMuno�
without GOS all of the test substances significantly increased
TNF-a production when compared to negative controls
(P < 0.0001) (Fig. D.1 and Table S.3). Moreover, in line with
in vitro data using RAW264.7 macrophages, DP3 and DP P 4
significantly increased TNF-a production when compared
to DP2 (P 6 0.0063) (Fig. D.1 and Table S.3). BiMuno� alone, fil-
tered GOS, filtered DP3 and DP P 4 induced significant in-
creases in TNF-a production as compared to filtered
BiMuno� (P < 0.0001). Furthermore, BiMuno� alone, filtered
BiMuno�, filtered GOS, and all of the individual fractions of
Fig. B.1 – Cytokine responses of RAW264.7 cells exposed to BiMuno�, BiMuno� without GOS and GOS. Quantification of TNF-a
(A), IFN-c (B), IL-2 (C), IL-4 (D), IL-6 (E), IL-10 (F), IL-12p70 (G) cytokine production by RAW264.7 cells in response to BiMuno�,
filtered BiMuno� without GOS and filtered GOS. BiMuno�, filtered BiMuno� and filtered GOS induced significant increases in
Th1 and Th2 cytokine responses when compared to negative controls (P 6 0.0394) whereas filtered BiMuno� without GOS did
not induce such a cytokine response. Error bars, STDEV.
J O U R N A L O F F U N C T I O N A L F O O D S 4 ( 2 0 1 2 ) 9 4 1 – 9 5 3 945
Table S.1 – Cytokine changes in RAW264.7 cells in response to BiMuno�, filtered BiMuno�, filtered BiMuno� without GOS or filtered GOS.
Cytokine Time (hours) Test condition a Test condition b Protein concentration (pg ml�1) P-Value 95% Confidence intervals
Test condition a Test condition b
TNF-a 2 Negative BiMuno� 9.46 2491.26 <0.0001 7.03, 9.17
4 Negative BiMuno� 5.37 23730.71 <0.0001 10.84, 13.58
6 Negative BiMuno� 2.72 32594.45 <0.0001 12.08, 15.76
2 Negative Filtered BiMuno� 9.46 457.14 <0.0001 4.60, 6.74
4 Negative Filtered BiMuno� 5.37 2978.56 <0.0001 7.86, 10.60
6 Negative Filtered BiMuno� 2.72 2858.69 <0.0001 8.55, 12.33
2 Negative Filtered GOS 9.46 2374.87 <0.0001 6.98, 9.12
4 Negative Filtered GOS 5.37 18849.40 <0.0001 10.53, 13.27
6 Negative Filtered GOS 2.72 27917.19 <0.0001 11.86, 15.54
2 Filtered BiMuno� without GOS BiMuno� 10.11 2491.26 <0.0001 6.91, 9.05
4 Filtered BiMuno� without GOS BiMuno� 5.42 23730.71 <0.0001 10.80, 13.53
6 Filtered BiMuno� without GOS BiMuno� 4.35 32594.45 <0.0001 11.04, 14.72
2 Filtered BiMuno� without GOS Filtered BiMuno� 10.11 457.14 <0.0001 4.47, 6.61
4 Filtered BiMuno� without GOS Filtered BiMuno� 5.42 2978.56 <0.0001 7.82, 10.55
6 Filtered BiMuno� without GOS Filtered BiMuno� 4.35 2858.69 <0.0001 7.51, 11.19
2 Filtered BiMuno� without GOS Filtered GOS 10.11 2374.87 <0.0001 �9.00, �6.85
4 Filtered BiMuno� without GOS Filtered GOS 5.42 18849.40 <0.0001 �13.22, �10.48
6 Filtered BiMuno� without GOS Filtered GOS 4.35 27917.19 <0.0001 �14.50, �10.81
2 Filtered BiMuno� BiMuno� 457.14 2491.26 0.0021 1.36,3.50
4 Filtered BiMuno� BiMuno� 2978.56 23730.71 0.0025 1.61,4.35
6 Filtered BiMuno� BiMuno� 2858.69 32594.45 0.0044 1.69,5.37
2 Filtered BiMuno� Filtered GOS 457.14 2374.87 0.0023 �3.45, �1.31
4 Filtered BiMuno� Filtered GOS 2978.56 18849.40 0.0041 �4.04, �1.30
6 Filtered BiMuno� Filtered GOS 2858.69 27917.19 0.0057 �5.15, �1.47
IL-2 2 Negative BiMuno� 0.02 1.23 0.0098 1.95, 7.81
2 Negative Filtered BiMuno� 0.02 0.51 0.0303 0.54, 6.39
2 Negative Filtered BiMuno� without GOS 0.02 0.40 0.0426 0.17, 6.02
2 Negative Filtered GOS 0.02 1.42 0.0088 2.11, 7.97
4 Filtered BiMuno� without GOS BiMuno� 0.06 6.20 0.0072 2.82, 8.13
6 Filtered BiMuno� without GOS BiMuno� 0.28 6.66 0.0103 1.94, 7.95
4 Filtered BiMuno� without GOS Filtered BiMuno� 0.06 1.34 0.0276 0.70, 6.00
4 Filtered BiMuno� without GOS Filtered GOS 0.06 4.33 0.0087 �7.77, �2.46
6 Filtered BiMuno� without GOS Filtered GOS 0.28 6.78 0.0009 �8.00, �1.99
6 Filtered BiMuno� BiMuno� 0.63 6.66 0.0286 0.62, 6.63
6 Filtered BiMuno� Filtered GOS 0.63 6.78 0.0274 �6.69, 0.67
IL-4 6 Negative BiMuno� 0.02 1.65 0.0098 2.29, 9.12
6 Negative Filtered BiMuno� 0.02 1.38 0.0144 1.67, 8.51
6 Negative Filtered BiMuno� without GOS 0.02 0.69 0.0252 0.87, 7.71
6 Negative Filtered GOS 0.02 0.81 0.0200 1.19, 8.03
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IL-6 2 Negative BiMuno� 7.63 150.61 0.0394 0.31, 8.332 Negative Filtered GOS 7.63 346.19 0.0177 1.41, 9.434 Negative BiMuno� 6.71 1544.18 0.0006 5.60, 11.386 Negative BiMuno� 8.77 3019.36 0.0003 6.27, 11.434 Negative Filtered BiMuno� 6.71 607.15 0.0014 4.24, 10.036 Negative Filtered BiMuno� 8.77 924.64 0.0009 4.55, 9.714 Negative Filtered GOS 6.71 3611.83 0.0004 6.77, 12.566 Negative Filtered GOS 8.77 8142.03 0.0002 7.59, 12.752 Filtered BiMuno� without GOS Filtered BiMuno� 8.54 43.16 0.0179 1.40, 9.422 Filtered BiMuno� without GOS Filtered GOS 8.54 346.19 0.0087 �3.11, 2.454 Filtered BiMuno� without GOS BiMuno� 7.54 1544.18 0.0009 5.03, 10.846 Filtered BiMuno� without GOS BiMuno� 13.89 3019.36 0.0005 5.28, 10.444 Filtered BiMuno� without GOS Filtered BiMuno� 7.54 607.15 0.0021 3.70, 9.486 Filtered BiMuno� without GOS Filtered BiMuno� 13.89 924.64 0.0017 3.57, 8.724 Filtered BiMuno� without GOS Filtered GOS 7.54 3611.83 0.0005 �12.01, �6.236 Filtered BiMuno� without GOS Filtered GOS 13.89 8142.03 0.0003 �11.77, �6.616 Filtered GOS BiMuno� 8142.03 3019.36 0.0290 �3.91, 1.25
IL-10 2 Negative BiMuno� 3.47 44.68 0.0015 2.33, 5.564 Negative BiMuno� 3.14 170.17 0.0035 3.52, 9.246 Negative BiMuno� 0.79 238.60 0.0001 5.84, 8.462 Negative Filtered BiMuno� 3.47 11.00 0.0316 0.24, 3.474 Negative Filtered BiMuno� 3.14 62.44 0.0087 2.07, 7.806 Negative Filtered BiMuno� 0.79 36.65 0.0007 3.22, 5.842 Negative Filtered GOS 3.47 28.36 0.0034 1.67, 4.904 Negative Filtered GOS 3.14 112.81 0.0050 2.91, 8.646 Negative Filtered GOS 0.79 221.10 0.0001 5.80, 8.426 Negative Filtered BiMuno� without GOS 0.79 6.57 0.0123 0.74, 3.362 Filtered BiMuno� without GOS BiMuno� 2.39 44.68 0.0011 2.61, 5.844 Filtered BiMuno� without GOS BiMuno� 0.13 170.17 0.0018 5.83, 12.856 Filtered BiMuno� without GOS BiMuno� 6.57 238.60 0.0002 4.03, 6.172 Filtered BiMuno� without GOS Filtered BiMuno� 2.39 11.00 0.0189 0.53, 3.764 Filtered BiMuno� without GOS Filtered BiMuno� 0.13 62.44 0.0033 4.39, 11.406 Filtered BiMuno� without GOS Filtered BiMuno� 6.57 36.65 0.0030 1.41, 3.552 Filtered BiMuno� without GOS Filtered GOS 2.39 28.36 0.0030 �5.19, �1.964 Filtered BiMuno� without GOS Filtered GOS 0.13 112.81 0.0023 �12.24, �5.236 Filtered BiMuno� without GOS Filtered GOS 6.57 221.10 0.0002 �6.14, �4.002 Filtered BiMuno� BiMuno� 11.00 44.68 0.0210 0.47, 3.706 Filtered BiMuno� BiMuno� 36.65 238.60 0.0025 1.55, 3.696 Filtered BiMuno� Filtered GOS 36.65 221.10 0.0026 03.65, �1.51
IL-12p70 4 Negative BiMuno� 0.10 12.70 0.0013 4.36, 7.594 Negative Filtered BiMuno� 0.10 8.69 0.0018 3.80, 7.034 Negative Filtered GOS 0.10 11.19 0.0015 4.12, 7.352 Filtered BiMuno� without GOS BiMuno� 2.07 8.76 0.0396 0.19, 5.016 Filtered BiMuno� without GOS BiMuno� 4.52 17.97 0.0364 0.21, 3.836 Filtered BiMuno� without GOS Filtered GOS 4.52 50.10 0.0070 �5.14, �1.526 Filtered BiMuno� BiMuno� 2.03 17.97 0.0077 1.42, 5.046 Filtered BiMuno� Filtered GOS 2.03 50.10 0.0022 �6.35, �2.73
aAt 6 h incubation LPS induced 38,117.03 pg ml-1 TNF-a,14.15 pg ml-1 IL-2, 1.82 pg ml-1 IL-4, 14,265.96 pg ml-1 IL-6, 269.62 pg ml-1 IL-10, 29.39 pg ml-1 IL-12p70.b At 6 h incubation ConA induced 23.22 pg ml-1 TNF-a, 0.78 pg ml-1 IL-2, 0.69 pg ml-1 IL-4, 10.65 pg ml-1 IL-6, 10.48 pg ml-1 IL-10, 7.10 pg ml-1 IL-12p70.
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Fig. C.1 – Cytokine responses of RAW264.7 cells exposed to
GOS fractions. Quantification of TNF-a cytokine production
by RAW264.7 cells in response to the fractions of GOS.
BiMuno�, filtered GOS and the individual fractions induced
significant increases in TNF-a production when compared
to the negative control cells (P 6 0.0019). Additionally, levels
of TNF-a were significantly higher in cells incubated with
DP3 and DP P 4 fractions when compared to cells incubated
with the DP2 fraction (P 6 0.0213). Error bars, STDEV.
948 J O U R N A L O F F U N C T I O N A L F O O D S 4 ( 2 0 1 2 ) 9 4 1 – 9 5 3
GOS significantly increased TNF-a production when com-
pared to filtered BiMuno� without GOS (P < 0.0001)
(Table S.3).
Table S.2 – TNF-a production from RAW264.7 cells in response
Cytokine Time (hours) Test condition a Test condition b Pr
Te
TNF-a 2 Negative BiMuno� 12
4 Negative BiMuno� 7.
6 Negative BiMuno� 7.
2 Negative Filtered GOS 12
4 Negative Filtered GOS 7.
6 Negative Filtered GOS 7.
2 Negative Filtered DP2 12
4 Negative Filtered DP2 7.
6 Negative Filtered DP2 7.
2 Negative Filtered DP3 12
4 Negative Filtered DP3 7.
6 Negative Filtered DP3 7.
2 Negative Filtered DP4 12
4 Negative Filtered DP4 7.
6 Negative Filtered DP4 7.
2 Filtered DP2 BiMuno� 28
4 Filtered DP2 BiMuno� 23
6 Filtered DP2 BiMuno� 12
2 Filtered DP2 Filtered GOS 28
4 Filtered DP2 Filtered GOS 23
6 Filtered DP2 Filtered GOS 12
2 Filtered DP2 Filtered DP3 28
4 Filtered DP2 Filtered DP3 23
6 Filtered DP2 Filtered DP3 12
2 Filtered DP2 Filtered DP4 28
4 Filtered DP2 Filtered DP4 23
6 Filtered DP2 Filtered DP4 12
aAt 6 h incubation LPS induced 39,792.33 pg ml�1 TNF-a and ConA induc
3.3. Analysis of GOS for LPS contamination
The following assays were conducted as a proof of principle,
to exclude the possibility that the strong TNF-a and IL-6 re-
sponses observed, which are stereotypical of LPS, were attrib-
uted to LPS. Varying concentrations of the low molecular
weight fractions (referred to as GOS) were analysed for LPS
contamination by silver staining of polyacrylamide gels and
LPS was not detected even at high concentrations (�1 mg
GOS). In all positive controls LPS (10 lg, 1 lg and 50 ng) was
detected (Fig. S.1). As GOS was purified by size exclusion chro-
matography using a Biogel P2 column (MW 100–1800 Da), it
should not contain LPS as the molecular weight of LPS is
>2 KDa (2–50 KDa range). It was concluded that, in the unli-
kely event that the low molecular weight fractions contained
trace amounts of LPS, it must be below the level of detection
by silver staining (<50 ng). We appreciate that LPS can exert
immuno-stimulatory effects at concentrations <50 ng ml�1
and a Limulus Amoebocyte Lysate (LAL) assay would be more
sensitive for the detection of endotoxin. However, GOS cross-
reacts with LAL and therefore gives false positive results and
thus was not used here. Confirmatory cytokine assays
showed that this theoretical maximal level of LPS contamina-
tion was not responsible for inducing the pronounced TNF-a
response of RAW264.7 cells when exposed to the low molecu-
lar weight fractions (Fig. S.1). Specifically, from the silver
stained gels of the electrophoresed GOS preparations it can
to the individual fractions that comprise GOS.
otein concentration (pg ml�1) P-Value 95% Confidenceintervals
st condition a Test condition b
.71 3607.77 <0.0001 6.54, 11.30
29 22757.53 <0.0001 9.74, 13.87
87 26191.11 <0.0001 10.41, 12.94
.71 2556.43 0.0002 5.94, 10.80
29 18032.71 <0.0001 9.38, 13.51
87 22018.47 <0.0001 10.24, 12.77
.71 287.52 0.0019 2.81, 7.66
29 2320.81 <0.0001 6.03, 10.16
87 1261.69 <0.0001 6.09, 8.62
.71 2430.05 0.0002 5.87, 10.73
29 18283.01 <0.0001 9.41, 13.54
87 25966.03 <0.0001 10.42, 12.94
.71 3791.73 0.0001 6.42, 11.27
29 18991.92 <0.0001 9.48, 13.61
87 29105.70 <0.0001 10.62, 13.18
7.52 3607.77 0.0104 1.22, 6.07
20.81 22757.53 0.0046 1.64, 5.77
61.69 26191.11 0.0002 3.06, 5.58
7.52 2556.43 0.0195 �5.56, �0.71
20.81 18032.71 0.0074 �5.41, �1.28
61.69 22018.47 0.0002 �5.49, �2.89
7.52 2430.05 0.0213 �5.49, �0.64
20.81 18283.01 0.0072 �5.44, �1.28
61.69 25966.03 0.0002 �5.59, �3.06
7.52 3791.73 0.0108 �6.04, �1.19
20.81 18991.92 0.0065 �5.52, �1.38
61.69 29105.70 0.0001 �5.38, �3.30
ed 54.48 pg ml�1 TNF-a.
Fig. D.1 – Cytokine responses of ex vivo harvested murine macrophages exposed to test substances. Quantification of TNF-a
cytokine production by ex vivo harvested macrophages (derived from BALB/c mice) in response to BiMuno�, filtered BiMuno�,
filtered BiMuno� without GOS, filtered GOS and the fractions of GOS. Significant increases in TNF-a were detected in the
supernatants of cells incubated with BiMuno�, filtered BiMuno�, filtered GOS and the individual fractions when compared to
the negative controls (P < 0.0001). Additionally, significant increases in TNF-a were detected in the supernatants of cells
incubated with DP3 and P4 when compared to DP2 (P 6 0.0063). Error bars, STDEV.
J O U R N A L O F F U N C T I O N A L F O O D S 4 ( 2 0 1 2 ) 9 4 1 – 9 5 3 949
be concluded that the maximum amount of LPS contamina-
tion in �25 mg GOS could be 1.25 lg LPS and exposure of
RAW264.7 cells to this level of LPS induced 16,300 pg ml�1 of
TNF-a (±4072 pg ml�1), whereas GOS induced 28,970 pg ml�1
of TNF-a. Moreover, this level of TNF-a induced by GOS would
have to equate to 7.37 lg of LPS. It is acknowledged that LPS
from different sources exert different levels of cytokine re-
sponse. However, GOS should not contain LPS due to the nat-
ure of its production (being made from Gram positive and not
Gram negative bacteria) and moreover its stringent purifica-
tion during manufacture.
4. Discussion
In this study, in vitro and ex vivo studies were performed to
determine whether low molecular weight fractions of BiMu-
no�, and specifically which low molecular weight fraction(s),
have direct immuno-modulatory properties on murine mac-
rophages. Collectively, results from in vitro and ex vivo studies
showed that the low molecular weight fractions could exert
immuno-stimulatory effects on murine macrophages derived
from BALB/c mice and that the tri (DP3) and Ptetra-saccha-
ride (DP P 4) fractions, specifically, appear to be important
in stimulating cytokine responses. Previous studies by Searle
et al. (2009) demonstrated that BiMuno�, the entire commer-
cially available product, when administered orally was associ-
ated with a reduction in the colonisation, pathology and
clinical symptoms associated with murine salmonellosis. To
date, the exact mechanisms of action by which prebiotics re-
duce the carriage of pathogens remains largely unknown.
This study utilised murine macrophages, as a proof of princi-
ple, to test the hypothesis that the low molecular weight frac-
tions, derived from BiMuno�, may interact directly with
antigen presenting cells to evoke an immune response. We
showed that BiMuno� alone induced significant increases in
both pro- and anti-inflammatory cytokines in RAW264.7 cell.
Two murine specific cytokines, TNF-a and IL-6, were upregu-
lated by BiMuno� and it may be inferred important in Th1
mediated cellular responses for controlling pathogenic infec-
tions (Balaram et al., 2009; Eckmann & Kagnoff, 2001). It is
plausible that BiMuno� may stimulate antigen presenting
cells in the gut associated lymphoid tissue to aid Salmonella
clearance. As a result of this direct immuno-stimulatory ef-
fect, it seems reasonable to suggest that BiMuno� interacts di-
rectly with immune cells and/or their receptors as shown for
inulin and b-glucan activated RAW264.7 cells in vitro (Lee
et al., 2001; Lloyd, Viac, Werling, Remes, & Gatto 2007).
Questions arose from these observations as to which com-
ponent of BiMuno� is the active component and whether the
response by RAW264.7 cells was representative of macro-
phages in vivo. Data presented here indicate that the direct
immuno-stimulatory effect of BiMuno� is due to its low
molecular weight fraction component (referred to as GOS),
and more specifically the tri (DP3) and Ptetra-saccharide
(DP P 4) fractions (Tables S.2 and S.3). Ex vivo macrophages,
which would be in the natural resting state of the host, and
represent a more biologically relevant model, mounted com-
paratively large TNF-a responses to the low molecular weight
fractions and specifically the tri and Ptetra-saccharide frac-
tions (Table S.3). The direct immuno-modulatory properties
of GOS have not been documented previously and the data
produced in this study suggests a mechanism that may con-
tribute to the observations made by Vulevic et al. (2008) who
demonstrated that oral delivery of GOS was associated with
significant increases in human peripheral blood mononuclear
cell (PBMC) phagocytosis, natural killer (NK) cell activity and
altered cytokine profiles when compared to individuals fed
maltodextrin as a placebo (Vulevic et al., 2008).
Data presented here illustrate the complexity of the entire
commercially available product, BiMuno�, containing not
only low molecular weight fractions, simple monosaccha-
rides, disaccharides and complex stabilisers, but also
Table S.3 – TNF-a production from ex vivo harvested BALB/c murine macrophages in response to BiMuno�, filtered BiMuno�, filtered BiMuno� without GOS, filtered GOSand the individual fractions.
Cytokine Time (hours) Test condition a Test condition b Protein concentration (pg ml�1) P-Value 95% confidence intervals
Test condition a Test condition b
TNF-a 6 Negative BiMuno� 16.19 8176.53 <0.0001 8.33,9.71
6 Negative Filtered BiMuno� 16.19 126.98 <0.0001 2.27,3.65
6 Negative Filtered GOS 16.19 9284.09 <0.0001 8.51,9.89
6 Negative Filtered DP2 16.19 2192.58 <0.0001 6.43,7.81
6 Negative Filtered DP3 16.19 4702.21 <0.0001 7.50,8.88
6 Negative Filtered DP4 16.19 7738.58 <0.0001 8.25,9.63
6 Filtered DP2 BiMuno� 2192.58 8176.53 <0.0001 1.21,2.59
6 Filtered DP2 Filtered GOS 2192.58 9284.09 <0.0001 �2.77, �1.39
6 Filtered DP2 Filtered DP3 2192.58 4702.21 0.0063 �1.75, �0.38
6 Filtered DP2 Filtered DP4 2192.58 7738.58 0.0002 �2.51, �1.13
6 BiMuno� Filtered BiMuno� 8176.52 126.98 <0.0001 5.37,6.75
6 BiMuno� Filtered BiMuno� without GOS 8176.52 10.01 <0.0001 8.99,10.37
6 BiMuno� Filtered DP3 8176.52 4702.21 <0.0001 0.14,1.53
6 Flitered BiMuno� without GOS Filtered BiMuno� 10.01 126.98 <0.0001 2.92,4.30
6 Flitered BiMuno� without GOS Filtered DP2 10.01 2192.58 <0.0001 �8.46, �7.09
6 Flitered BiMuno� without GOS Filtered DP3 10.01 4702.21 <0.0001 �9.53, �8.15
6 Flitered BiMuno� without GOS Filtered DP4 10.01 7738.58 <0.0001 �10.28, �8.90
6 Filtered BiMuno� Filtered DP3 126.98 4702.21 <0.0001 �5.92, �4.54
6 Filtered BiMuno� Filtered DP4 126.98 7738.58 <0.0001 �6.67, �5.29
6 Filtered BiMuno� Filtered GOS 126.98 9284.09 <0.0001 �6.94, �5.56
6 Filtered DP3 Filtered DP4 4702.21 7738.58 0.0358 �1.44, �0.06
6 Filtered DP3 Filtered GOS 4702.21 9284.09 0.0082 �1.71, �0.33
aAt 6 h incubation LPS induced 7869.09 pg ml�1 TNF-a and ConA induced 7.93 pg ml�1 TNF-a.
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Fig. S.1 – Detection of LPS by silver staining and cytokine assays. GOS and LPS samples electrophoresed and stained by silver
staining (A). Lane 1: GOS retentate (�25 mg ml�1) Lane 2: Novex sharp protein standard Lane 3: GOS eluent (�25 mg ml�1)
Lane 4: �1 mg GOS Lane 5: �0.1 mg GOS Lane 6: PBS negative control Lane 7: LPS retentate (1 lg) Lane 8: LPS eluent (1 lg) Lane
9: 10 lg LPS positive control Lane 10: 50 ng LPS positive control. Lane 10a: 50 ng LPS positive control when the gel was
overexposed. LPS was not detected in the negative control condition or any of the GOS preparations, whereas it was detected
in the positive controls. The limit of detection of the technique was 50 ng LPS and thus if present in �1 mg GOS, LPS is present
only in trace quantities (less than 50 ng). LPS calibration curve, and extrapolation in order to determine the theoretical LPS
content of GOS (B). Calibration curve of TNF-a production by RAW264.7 cells incubated with known concentrations of LPS
(ranging from 2.5 ng and 100 lg LPS) (as indicated by square symbols). From the calibration curve non linear regression data
analysis was conducted and showed that the maximum theoretical quantity of LPS (1.25 lg) in �25 mg GOS induced
16,300 pg ml�1 of TNF-a (±4072 pg ml�1) (as indicated by the circle symbol). In fact, �25 mg GOS induced 28,970 pg ml�1 of
TNF-a (as indicated by the triangle symbol). Furthermore, from this extrapolation it can be concluded that 7.37 lg LPS
contamination would need to be present in GOS to induce such a cytokine response.
J O U R N A L O F F U N C T I O N A L F O O D S 4 ( 2 0 1 2 ) 9 4 1 – 9 5 3 951
bacterial cell debris. The complexity arises due to the manu-
facturing process that utilises whole cell B. bifidum (Tzortzis
et al., 2005a,b). Consequently, it was a prerequisite to deter-
mine whether the immuno-stimulatory effect of BiMuno�
was due to the bifidobacterial cell debris or sugars and thus
cytokine assays were conducted using filtered and unfiltered
BiMuno�. Filtering the mixture, using a 0.22 lm pore size,
served to eliminate cellular debris from the mixture. GOS
and BiMuno� without GOS did not contain bacteria, however,
were filtered for consistency with other treatments. We
showed that BiMuno�, filtered BiMuno� and filtered GOS sig-
nificantly increased levels of both pro- and anti-inflammatory
cytokines (TNF-a, IL-2, IL-4, IL-6, IL-10, IL-12p70) in murine
macrophages when compared to negative controls
(P 6 0.0394), whereas sugars and stabilisers in the basal solu-
tion, BiMuno� without GOS, did not. In addition, an interest-
ing observation that filtering BiMuno� significantly reduced
its immuno-stimulatory effect (P 6 0.0286) was observed. This
indicates that bifidobacteria may contribute towards the
immunogenicity of BiMuno� or alternatively that the low
molecular weight fractions may be trapped in the filter along
with some of the other components of the product during the
filtering process. A key observation is that purified low molec-
ular weight fractions especially DP3 and DP4, which do not
contain bacteria, had direct immuno-stimulatory effects indi-
cates that the low molecular weight fractions derived from
BiMuno� may be, at least in part, responsible for the direct
immunogenic properties of the commercial product and
may prove efficacious at priming host immune responses.
However, we suggest that synthetic GOS be utilised in future
studies to definitively conclude whether GOS is the sole
immunogenic component of BiMuno�.
The immuno-stimulatory response of murine macro-
phages to the low molecular weight fractions (specifically
TNF-a and IL-6) resembles that induced by lipopolysaccharide
(LPS) (Beutler & Poltorak, 2001; Jiang, Akashi, Miyake, & Petty,
2000; Zughaier, Zimmer, Datta, Carlson, & Stephens, 2005).
Therefore, a necessary prerequisite of this study was to deter-
mine whether the low molecular weight fractions, derived
from BiMuno�, were contaminated with LPS and furthermore,
if it could account for the immuno-stimulatory properties of
the low molecular weight fractions even though it is unlikely
that they would contain any LPS, due to the manufacturing
and purification process. We demonstrated by silver staining
that GOS contained less than 50 ng LPS. Conducting a LAL as-
say, which is more sensitive at detecting endotoxin (as low as
5–10 pg ml�1), was not applicable in these experiments as
GOS interferes with the assay as do b-glucans (Morita, Tana-
ka, Nakamura, & Iwanaga, 1981). Whilst different endotoxins
have varying TNF-inducing activities, we demonstrated that
the maximum possible level of LPS contamination was not
responsible for the cytokine response induced by the low
molecular weight fractions. We argue that the low molecular
weight fractions should not contain any LPS and moreover no
viable Gram negative bacteria could be recovered from BiMu-
no� and we conclude that the pronounced TNF-a response
was due to the low molecular weight fractions not due to
hypothetically very low doses of LPS. As suggested previously,
synthetic GOS should be utilised in future studies to defini-
tively conclude that the immunogenicity of Bimuno� was
due to GOS and not hypothetical low molecular weight bacte-
rial components or trace amounts of LPS that could act syner-
gistically with the product. It may also be considered that
lipoteichoic acid (LTA) (Gram positive) could have contributed
952 J O U R N A L O F F U N C T I O N A L F O O D S 4 ( 2 0 1 2 ) 9 4 1 – 9 5 3
to immune responses observed. However, as LTA is poorly
immunogenic compared to LPS, one can conclude that it
would be highly unlikely to evoke such pronounced
responses.
Heightened TNF-a and IL-6 production by macrophages in
response to low molecular weight fractions may promote
antigen presenting cell recruitment thus may enhance the
phagocytosis of pathogens and aid pathogen clearance. How-
ever, the results presented here only represent the single GOS
mixture tested and thus variations in efficacy may be ob-
served with different GOS mixtures.
Acknowledgments
The authors acknowledge CLASADO Ltd. for supplying the
test substance BiMuno�, purified GOS and its individual frac-
tions and for funding the studies. We acknowledge Dr. Daryan
Kaveh, Dr. Shelley Rhodes and Dr. Philip Hogarth for their
guidance in the peritoneal lavage technique and cytokine as-
says and members of the Animal Service Unit (ASU) for their
technical support. We acknowledge the Cell and Tissue Cul-
ture Section at AHVLA (Weybridge) for preparing RAW264.7
cells and Dr. Nick Coldham and Mr. Phillip Humphryes for
their guidance in the detection of LPS.
R E F E R E N C E S
Agunos, A., Ibuki, M., Yokomizo, F., & Mine, Y. (2007). Effect ofdietary b1-4 mannobiose in the prevention of SalmonellaEnteritidis infection in broilers. British Poultry Science, 48,331–341.
Bailey, J. S., Blankenship, L. C., & Cox, N. A. (1991). Effect offructooligosaccharide on Salmonella colonization of thechicken intestine. Poultry Science, 70, 2433–2438.
Balaram, P., Kien, P. K., & Ismail, A. (2009). Toll-like receptors andcytokines in immune responses to persistent mycobacterialand Salmonella infections. International Journal of MedicalMicrobiology, 299, 177–185.
Benyacoub, J., Rochat, F., Saudan, K.-Y., Rochat, I., Antille, N.,Cherbut, C., von der Weid, T., Schiffrin, E. J., & Blum, S. (2008).Feeding a diet containing a fructooligosaccharide mix canenhance Salmonella vaccine efficacy in mice. Journal ofNutrition, 138, 123–129.
Beutler, B., & Poltorak, A. (2001). The sole gateway to endotoxinresponse: how lps was identified as tlr4, and its role in innateimmunity. Drug Metabolism and Disposition, 29, 474–478.
Depeint, F., Tzortzis, G., Vulevic, J., l’Anson, K., & Gibson, G. R.(2008). Preiotic evaluation of a novel galactooligosaccharidemixture produced by the enzymatic activity of Bifidobacteriumbifidum NCIMB 41171, in healthy humans: a randomized,double-blind, crossover, placebo-controlled interventionstudy. The American Journal of Clinical Nutrition, 87, 785–791.
Eckmann, L., & Kagnoff, M. F. (2001). Cytokines in host defenseagainst Salmonella. Microbes and Infection, 3, 1191–1200.
Eiwegger, T., Stahl, B., Schmitt, J., Boehm, G., Gerstmayr, M.,Pichler, J., Dehlink, E., Loibichler, C., Urbanek, R., & Szepfalusi,Z. (2004). Human milk-derived oligosaccharides and plant-derived oligosaccharides stimulate cytokine production ofcord blood T-cells. In Vitro Pediatric Research, 56, 536–540.
Gibson, G. R., Probert, H. M., Van Loo, J., Rastall, R. A., &Roberfroid, M. B. (2004). Dietary modulation of the human
colonic microbiota: updating the concept of prebiotics.Nutrition Research Reviews, 17, 259–275.
Gibson, G. R., & Roberfroid, M. B. (1995). Dietary modulation of thehuman colonic microbiota: introducing the concept ofprebiotics. Journal of Nutrition, 125, 1401–1412.
Hosono, A., Ozawa, A., Kato, R., Ohnishi, Y., Nakanishi, Y., Kimura,T., & Nakamura, R. (2003). Dietary fructooligosaccharidesinduce immunoregulation of intestinal IgA secretion bymurine peyer’s patch cells. Bioscience Biotechnology andBiochemistry, 67, 758–764.
Ishikawa, T., & Nanjo, F. (2009). Dietary cycloinulooligosaccharidesenhance intestinal immunoglobulin A production in mice.Bioscience Biotechnology and Biochemistry, 73, 677–682.
Jiang, Q., Akashi, S., Miyake, K., & Petty, H. R. (2000). Cutting edge:lipopolysaccharide induces physical proximity between CD14and toll-like receptor 4 (TLR4) prior to nuclear translocation ofNF-jB. Journal of Immunology, 165, 3541–3544.
Jung, K., Ha, Y., Ha, S.-K., Han, D. U., Kim, D. –W., Moon, W. K., &Chae, C. (2004). Antiviral effect of Saccharomyces cerevisiae b-glucan to Swine Influenza Virus by increased production ofInterferon-c and nitric oxide. Journal of Veterinary Medicine, 51,72–76.
Kataoka, K., Muta, T., Yamazaki, S., & Takeshige, K. (2002).Activation of macrophages by linear (1!3)-b-D-Glucans.Journal of Biological Chemistry, 277, 36825–36831.
Lee, J.-N., Lee, D.-Y., Ji, I.-H., Kim, G.-E., Kim, H. N., Sohn, J., Kim, S.,& Kim, C.-W. (2001). Purification of soluble b-Glucan withimmune-enhancing activity from the cell wall of yeast.Bioscience Biotechnology and Biochemistry, 65, 837–841.
Lloyd, D. H., Viac, J., Werling, D., Remes, C. A., & Gatto, H. (2007).Role of sugars in surface microbe–host interactions andimmune reaction modulation. Veterinary Dermatology, 18,197–201.
Lowry, V. K., Farnell, M. B., Ferro, P. J., Swaggerty, C. L., Bahl, A.,& Kogut, M. H. (2005). Purified b-glucan as an abiotic feedadditive up-regulates the innate immune response inimmature chickens against Salmonella enterica serovarEnteritidis. International Journal of Food Microbiology, 98,309–318.
Macfarlane, G. T., Steed, H., & Macfarlane, S. (2008). Bacterialmetabolism and health-related effects of galacto-oligosaccharides and other prebiotics. Journal of AppliedMicrobiology, 104, 305–344.
Michetti, P., Mahan, M. J., Slauch, J. M., Mekalanos, J. J., & Neutra,M. R. (1992). Monoclonal secretory immunoglobulin A protectsmice against oral challenge with the invasive pathogenSalmonella typhimurium. Infection and Immunity, 60, 1786–1792.
Morita, T., Tanaka, S., Nakamura, T., & Iwanaga, S. (1981). A new(1!3)-b-D-glucan-mediated coagulation pathway found inlimulus amebocytes. FEBS letters, 129, 318–321.
Osman, A., Tzortzis, G., Rastall, R. A., & Charalampopoulos, D.(2010). A comprehensive investigation of the synthesis ofprebiotic galactooligosaccharides by whole cells ofBifidobacterium bifidum NCIMB 41171. Journal of Biotechnology,150, 140–148.
Scholtens, P. A. M. J., Alliet, P., Raes, M., Alles, M. S., Kroes, H.,Boehm, G., Knippels, L. M. J., Knol, J., & Vandenplas, Y. (2008).Fecal secretory immunoglobulin A is increased in healthyinfants who receive a formula with short-chain galacto-oligosaccharides and long-chain fructo-oligosaccharides.Journal of Nutrition, 138, 1141–1147.
Searle, L. E. J., Best, A., Nunez, A., Salguero, F. J., Johnson, L.,Weyer, U., Dugdale, A. H., Cooley, W. A., Carter, B., Jones, G.,Tzortzis, G., Woodward, M. J., & La Ragione, R. M. (2009). Amixture containing galactooligosaccharide produced by theenzymic activity of Bifidobacterium bifidum, reduces Salmonellaenterica serovar Typhimurium infection in mice. Journal ofMedical Microbiology, 58, 37–48.
J O U R N A L O F F U N C T I O N A L F O O D S 4 ( 2 0 1 2 ) 9 4 1 – 9 5 3 953
Spring, P., Wenk, C., Dawson, K. A., & Newman, K. E. (2000). Theeffects of dietary mannanoligosaccharides on cecalparameters and the concentrations of enteric bacteria in thececa of Salmonella-challenged broiler chicks. Poultry Science,79, 205–211.
Tsai, C.-M., & Frasch, C. E. (1982). A sensitive silver stain fordetecting lipopolysaccharides in polyacrylamide gels.Analytical Biochemistry, 119, 115–119.
Tzortzis, G., Goulas, A. K., Gee, J. M., & Gibson, G. R. (2005a). Anovel galactooligosaccharide mixture increases theBifidobacterial population numbers in a continuous in vitrofermentation system and in the proximal colonic contents ofpigs in vivo. Journal of Nutrition, 135, 1726–1731.
Tzortzis, G., Goulas, A. K., & Gibson, G. R. (2005b). Synthesis ofprebiotic galactooligosaccharides using whole cells of a novel
strain, Bifidobacterium bifidum NCIMB 41171. AppliedMicrobiology and Biotechnology, 68, 412–416.
Vos, A. P., M’Rabet, L., Stahl, B., Boehm, G., & Garssen, J. (2007).Immune-modulatory effects and potential workingmechanisms of orally applied non-digestible carbohydrates.Critical Reviews in Immunology, 27, 97–140.
Vulevic, J., Drakoularakou, A., Yaqoob, P., Tzortzis, G., & Gibson, G.R. (2008). Modulation of the fecal microflora profile andimmune function by a novel trans-galactooligosaccharidemixture (B-GOS) in healthy elderly volunteers. American Journalof Clinical Nutrition, 88, 1438–1446.
Zughaier, S. M., Zimmer, S. M., Datta, A., Carlson, R. W., &Stephens, D. S. (2005). Differential induction of the toll-likereceptor 4-MyD88-dependent and –independent signallingpathways by endotoxins. Infection and Immunity, 73, 2940–2950.