Content uploaded by Yogi Yogiara
Author content
All content in this area was uploaded by Yogi Yogiara on Nov 17, 2018
Content may be subject to copyright.
Available via license: CC BY
Content may be subject to copyright.
*Corresponding author.
Email: asuwanto@indo.net.id
eISSN: 2550-2166 / © 2018 The Authors. Published by Rynnye Lyan Resources
Food Research 3 (1) : 57 - 63 (February 2019)
Journal homepage: http://www.myfoodresearch.com
FULL PAPER
Tempeh consumption enhanced beneficial bacteria in the human gut
1Stephanie, 2 Kartawidjajaputra, F., 2Silo, W., 1Yogiara, Y. and 1*Suwanto, A.
1Faculty of Biotechnology, Atma Jaya Catholic University of Indonesia, Jalan Jenderal Sudirman 51
Jakarta Selatan 12930, Indonesia
2PT Nutrifood Indonesia, Kawasan Industri Pulogadung, Jalan Rawabali II No. 3, Jakarta 13920, Indonesia
Article history:
Received: 12 August 2018
Received in revised form: 19
September 2018
Accepted: 21 September 2018
Available Online: 5 October
2018
Keywords:
Tempeh,
Gut microbiota,
Bifidobacterium,
Akkermansia muciniphila
DOI:
https://doi.org/10.26656/fr.2017.3(1).220
Abstract
It has been known that human gut microbiota modulates host health and the composition is
affected by lifestyle, including the availability of dietary fiber. Tempeh, a kind of
traditional fermented food from Indonesia, is rich in soluble fibers and microbial
consortia. A previous study showed that tempeh could enhance IgA production and
modulate gut microbiota composition in rats. Meanwhile, in human, tempeh
supplementation for 16 days has increased the number of Akkermansia muciniphila
significantly. Many Indonesians consume tempeh on a daily basis, but the effect of tempeh
consumption for a longer period of time in human remains to be investigated. Therefore,
the objective of this study was to investigate the effect of tempeh consumption in human
for longer term, especially its effect in modulating gut microbiota composition. A total of
sixteen (16) healthy females participated in this study. For the first 7 days, they were not
allowed to consume any soy product; followed by 28 days of 100 gram of tempeh (n=10),
or 200 mL of soymilk (n=6) consumption. Analysis of gut microbiota showed that soymilk
and tempeh supplementation generated different profiles. Twenty-eight days of tempeh
supplementation seemed to improve metabolic health markers better than soymilk
treatment; significantly enhancing the presence of Bifidobacterium and A. muciniphila
populations compared to those at the beginning of the study.
1. Introduction
The gastrointestinal tract is the most densely-
populated microorganisms in the human body. Gut
microbiota plays a pivotal role for human health; such as
metabolic function, immune cells maturation, digesting
the undigested carbohydrates, and production of short-
chain fatty acid, conjugated fatty acids,
exopolysaccharides, and neuroactive metabolites. Gut
microbiota is also important for providing energy and
bioactive compound production, such as vitamins
(Patterson et al., 2016).
A study by Bressa et al. (2017) revealed that active
lifestyle enhanced health-promoting bacteria. Healthy
lifestyle and avoidance of excessive food intake promote
better gut microbiota composition and prevent metabolic
disorder (Musso et al., 2010). A previous study showed
that gut microbiota in obese subjects and/or with Type-2
Diabetes were different from lean and non-diabetic
subjects (Patterson et al., 2016). Obese subjects had
more bacteria with carbohydrates fermentation capability
than lean subjects. Lean subjects tended to have higher
Bifidobacterium (Goffredo et al., 2016), whereas non-
obese subjects produced more Akkermansia muciniphila
(Patterson et al., 2016).
Probiotic, prebiotic, and antibiotic therapies have
improved metabolic inflammatory in mice with high-fat
diet (Cani et al., 2014). A study by Wang et al. (2015)
showed that probiotic addition in high-fat diet mice
ameliorated gut microbiota structure to lean mice
structure with an increase of Bifidobacterium production
in the gut. In human study, probiotic consumption
modulated human metabolism and prevented or treated
diseases such as hypercholesterolemia and obesity
(Fujimura et al., 2010); as well as reduce potential
pathogen infection (i.e. Citrobacter and Klebsiella) and
flatulence (Seo et al., 2017).
Two beneficial bacteria that would be focused in this
study were Bifidobacterium and A. muciniphila.
Bifidobacterium belongs to Actinobacteria phyla and
commonly found in the human digestive tract.
Bifidobacterium has probiotic functions, which
strengthen the bowel defenses, modulate the immune
58 Stephanie et al. / Food Research 3 (1) (2019) 57 - 63
eISSN: 2550-2166 © 2018 The Authors. Published by Rynnye Lyan Resources
response and exclude pathogens. Various species of
Bifidobacterium that have been commonly used as
probiotics include Bifidobacterium bifidum (B. bifidum),
B. breve, B lactis, and B. adolescents. Bifidobacterium
species are anaerobic, rod-shaped, non-motile, and do
not produce spores (Anandharaj et al., 2014). A study in
human also showed that Bifidobacterium produces bile
salt for lipid metabolism. The level of Bifidobacterium
was known to be higher in the lean subjects compare to
the obese subjects (Teixeira et al., 2013).
A. muciniphila, a mucin-degrading bacteria and is
known for its properties to reduce parameters related to
type-2 diabetes and obesity. A study by Dao et al. (2016)
showed that calorie restriction increased the number of
A. muciniphila and was associated with lower glucose
level, higher insulin sensitivity, and healthier metabolic
status. A. muciniphila also increased the level of
endocannabinoid that controls inflammation, gut barrier,
and gut peptide secretion (Everard et al., 2013).
To maintain beneficial gut microbiota composition,
dietary fibers and probiotics consumption is strongly
recommended. Low fiber intake is associated with
increased chronic diseases, such as obesity,
cardiovascular disease, type 2 diabetes, and colon cancer
(Holscher, 2017).
One source of fiber-rich food is tempeh, a popular
fermented food in Indonesia. As a soy product, tempeh is
known for being rich in isoflavones, vitamin B-12,
protein, calcium, folic acid, and easily digested due to
simpler protein form after fermentation process (Babu et
al., 2009). Studies revealed that Indonesian tempeh
contains a consortium of microbes. Tempeh is fermented
by Rhizopus microsporus var. oligosporus and contains
various types of bacteria. Indonesian tempeh harbors
Acetobacter indonesiensis, Klebsiella pneumoniae,
Bacillus subtilis, Flavobacterium sp., Brevundimonas
sp., Pseudomonas putida, and Acinetobacter spp. (Barus
et al., 2008). Further metagenomics study revealed that
Indonesian tempeh is inhabited by Firmicutes and
Proteobacteria. There are also common Lactobacillus
families, such as L. agilis, L. fermentum, and
Enterobacteria cecorum (Radita et al., 2017).
A study on the Sprague Dawley rats revealed that
tempeh consumption for 28 days modulated gut
microbiota composition, towards a healthier gut and
enhanced IgA production and IgA gene expression (Soka
et al., 2014; Soka et al., 2015). Although
microorganisms in tempeh were inactive due to the
cooking process, they induced immune responses, such
as IgA production. IgA was an antibody produced as the
defense against the antigen presence in gut. A study in
human showed that consumption of 100 gram of steamed
tempeh per day for 16 days enhanced IgA production
and enhanced A. muciniphila number significantly
(Stephanie et al., 2017), which acts as improvement
markers for lower diabetes type-2 and obesity.
To our knowledge, there was no report evaluating
the longer-term effect of tempeh consumption in human.
This study is important because Indonesians consume
tempeh on daily basis every day. Therefore, the objective
of this study was to investigate tempeh consumption
effect in human for longer term (28 days), specifically to
its effect in modulating gut microbiota composition.
2. Materials and methods
2.1 Human study
This study was reviewed and approved by the local
ethics committee, Atma Jaya Catholic University of
Indonesia. The intervention followed the institution
guidelines, including a written informed consent for each
participant. Sixteen healthy female participants aged 23-
30 years old, non-smokers and not being pregnant, were
divided into 2 groups. The first group comprised of 6
females, were assigned for soymilk consumption (soy
group); and the second group comprised of 10 females,
were assigned for tempeh consumption (tempeh group).
During the intervention period, subjects were asked not
to consume any probiotics or prebiotics product; and to
minimize fiber consumption from fresh fruits and
vegetables.
In this study, consumption of soy product was
designed for 28 days adapted from the most common
length of food or probiotic consumption from previous
studies in human (Andreasen et al., 2012; Rampelli et
al., 2012; Steenbergen et al., 2015).
For the first 7 days, participants were not allowed to
consume any soy product; including soymilk, tempeh,
and tofu. This treatment was intended to set a
homogeneous baseline for both groups, before entering
the intervention period. On the following 28 days, soy
group consumed 200 mL soymilk per day, while tempeh
group consumed 100 grams of tempeh per day. The
tempeh was purchased from Empang area, Bogor, which
had been previously studied (Barus et al., 2008; Soka et
al., 2014; Soka et al., 2015; Stephanie et al., 2017).
During the intervention, tempeh was cooked every day
according to participants’ preferences. However, it was
strongly suggested not to cook tempeh using the deep
fried method. Women were chosen as participants
because of their willingness to commit to the
intervention requirements neatly, especially with the
cooking requirement for tempeh respondents during the
intervention. Fecal samples were taken on Preliminary
Measurement (PM) or 7 days before soy product
FULL PAPER
Stephanie et al. / Food Research 3 (1) (2019) 57 - 63 59
eISSN: 2550-2166 © 2018 The Authors. Published by Rynnye Lyan Resources
consumption started, day 0, 8, and 29 for gut microbiota
analysis (Figure 1).
2.2 Total fecal bacterial DNA extraction
Fecal samples were initially homogenized, then the
fecal bacterial DNAs were extracted using QIAamp
DNA Stool Mini Kit (Qiagen, Germany). Modification
was performed by adding glass beads to ensure that fecal
samples were homogeneous. All bacterial genomic
DNAs were confirmed using 1.5% w/v agarose gel
visualization. DNA concentration was measured with
Nanodrop (Thermo Scientific, DE, USA) and diluted
into 50 ng/µL, subsequently.
2.3 Gut microbiota enumeration
Gut microbiota analysis was performed using real-
time PCR Step One Plus™ (Applied Biosystems, CA,
USA) with SYBR Green (Promega, CA, USA) as
signaling detector. The standard curve was obtained
using serial dilution with bacterial specific 16S rRNA
gene in pGEM®T Easy (Promega, CA, USA). Isolation
of DNA plasmid was performed using the Alkaline Lysis
method. Isolated Plasmid was diluted into 7 points of
standard concentration between 106-1011 DNA copies per
reaction. Condition applied for real-time analysis
consists of 1 cycle of 94°C for 10 mins and 40 cycles of
95°C for 15 sec, 60 or 64°C for 30 sec, and 72°C for 30-
40 sec depending on which gene was being detected
(Table 1). All reactions were performed were duplicated.
2.4 Food recall analysis
Twenty-four-hour food recall data were collected on
the two-weekdays period, employing phone call
interview method. The difference between the two food-
recall interviews was about 2-3 weeks. All data were
inputted into ESHA’s Food Processor® Nutrition
Analysis software (Salem, OR, USA) to obtain the
number of daily calories, protein, carbohydrates, fiber,
fat, and sugar. The data were analyzed statistically using
paired T-test.
2.5 Statistical analysis
Statistical analysis was performed using GraphPad
version 6.0. All data were tested for its normality
distribution. Significant differences between soy group
and tempeh group; and within each group were analyzed
using T-test (p<0.05).
3. Results
3.1 Food recall analysis
For each participant, two 24-hour food recall data
were compared using a paired test (data not shown). Data
between soy and tempeh group were compared in the
same time-point. The results showed that there was no
significant difference in food pattern in both groups.
3.2 Gut microbiota quantification
At the beginning of the study, fecal samples were
collected for preliminary measurement analysis. Our data
showed that there was no significant difference in gut
microbiota patterns for both soy and tempeh group at the
beginning of intervention (Figure 2).
Enhancement of species-specific group was observed
for Bifidobacterium and A. muciniphila number. In the
soy group, the number of both Bifidobacterium and A.
muciniphila decreased after 28 days of intervention.
Meanwhile, in tempeh group, Bifidobacterium increased
significantly after 28 days of consumption (Figure 3A),
which was observed around for about 1.5-fold (Figure
FULL PAPER
Figure 1. Timeline of soy/tempeh intervention and fecal
collection. Preliminary measurement or PM was done 7 days
before soy product consumption started.
Bacterial Group
Specific Primers Sequence Size Annealing (°C) Elongation (s)
Akkermansia
muciniphila
AM1
AM2
CAGCACGTGAAGGTGGGGAC
CCTTGCGGTTGGCTTCAGAT 327 64 40
Bifidobacterium g-Bifid-F
g-Bifid-R
CTCCTGGAAACGGGTGG
GGTGTTCTTCCCGATATCTACA 549-563 60 40
Table 1. Gut microbiota primer list and analysis condition (Matsuki et al., 2004; Collado et al., 2007 )
Figure 2. Gut microbiota composition for the preliminary
measurement, which was measured before soy/tempeh
intervention.
60 Stephanie et al. / Food Research 3 (1) (2019) 57 - 63
eISSN: 2550-2166 © 2018 The Authors. Published by Rynnye Lyan Resources
4A). It was also observed that after tempeh consumption,
the number of A. muciniphila significantly increased
compared to day 0 and day 8 (Figure 3B) for about 37-
fold (Figure 4B). The enhancement of A. muciniphila for
tempeh group on day 29 was significantly different
compared to soy group (Figure 3B and 4B).
4. Discussion
Before the intervention period, we performed a
preliminary measurement to ensure the food pattern was
homogeneous for both soy and tempeh group. Our result
showed that there was no significant difference of
macronutrient and fiber intake in both groups (data not
shown); indicating that the modulation of gut microbiota
during this study was mostly due to the given treatment.
Besides, gut microbiota composition was also measured.
There was no significant difference found between soy
and tempeh group; indicating that gut microbiota
composition was homogenous in all participants; thus,
the condition was ideal for the start of the study.
Fecal samples were also collected on day 0, 8, and
29. Day 0 represented gut microbiota composition after 7
days of non-soy product consumption, day 8 represented
gut microbiota composition after short-term soy product
consumption for 7 days, and day 29 represented gut
microbiota composition after longer-term consumption
for 28 days.
Tempeh consumption for 28 days enhanced the
production of Bifidobacterium in the gut, while soymilk
consumption did not. This finding might be due to the
fiber composition in tempeh and soymilk. A study by
Boler et al. (2011) revealed soluble maize fiber could
enhance Bifidobacterium production in healthy males.
Tempeh is rich of soluble fibers (Babu et al., 2009),
therefore this property might contribute to the effect of
tempeh consumption in enhancing Bifidobacterium
significantly.
In comparison to fermented food, whey cheese is
rich of amino acids, such as threonine and cysteine.
Whey cheese supplementation in mice improved
metabolic markers for inflammation in the large
intestine, mucus production, and fecal lactobacilli and
bifidobacteria (Sprong et al., 2010). Our study indicated
that tempeh consumption is promising to improve
metabolic biomarkers for large intestine health and was
proven already to enhance bifidobacteria population in
human.
Our result showed that tempeh consumption
increased A. muciniphila level for about 35-fold after 28
days of tempeh consumption, while soymilk
consumption decreased the level of A. muciniphila, in
FULL PAPER
Figure 3. Gut microbiota enumeration on soy and tempeh group; (A) was for Bifidobacterium level, and (B) was for A.
muciniphila level. (*) shows a significant difference between soy and tempeh group, alphabetical symbols were the significant
label for each time point in soy group, and numerical symbols were the significant label for each time point in tempeh group.
Figure 4. Gut microbiota population dynamics on day 8 and 29 compared to day 0; (A) was for Bifidobacterium, and (B) was for
A. muciniphila. (*) shows a significant difference between soy and tempeh group, and numerical symbols were the significant
label for each time point in tempeh group.
Stephanie et al. / Food Research 3 (1) (2019) 57 - 63 61
eISSN: 2550-2166 © 2018 The Authors. Published by Rynnye Lyan Resources
which the lowest value was found at the end of the study
(day 29). This finding was consistent with the previous
study, in which 16 days of tempeh consumption
increased A. muciniphila production in the human gut
(Stephanie et al., 2017).
The enhancement of A. muciniphila production in
the gut might be caused by polyphenol compound in
tempeh. Soybean is a concentrated source of secondary
metabolites, such as polyphenol compound (Messina
1999). The previous study revealed that dietary
polyphenol from grape in high-fat diet mice lowered the
expression of inflammatory markers, glucose absorption
related genes, and dramatically increased A. muciniphila
and reduced the proportion of Firmicutes to
Bacteroidetes (Roopchand et al., 2015). A study by
Monk et al. (2016) showed that mice fed with high-fat
diet supplemented with navy bean had 20-fold higher of
A. muciniphila production compared to mice fed with
high-fat diet per se, which indicated that soybean solely
was sufficient to enhance A. muciniphila in mice.
Nevertheless, a significant increase of A. muciniphila
after 28 days of tempeh consumption indicated that
tempeh consumption gave healthier metabolic status by
improving obesity and type-2 diabetes parameters in the
human gut.
Our study also showed that beneficial bacteria
decreased after soymilk consumption; indicating that
soluble macromolecule, such as protein, and
carbohydrate in soymilk might not be sufficient to
enhance beneficial bacteria. In contrast, tempeh has a
higher bioavailability of macromolecules due to the
fermentation process (Nout and Kiers, 2005), which
seemed to enhance beneficial bacteria in the human gut.
In addition, taking into consideration that tofu is
made by curdling soymilk with a coagulant, our findings
indicated that beneficial bacteria might decrease after
tofu consumption and enhance biomarkers for
inflammation. This hypothesis was aligned with a cross-
sectional study by Pramudya (2015) and Hogervorst et
al. (2008). A study in males revealed that the
suppression of Enterococcus bacteria was lower in
participants who consumed tofu rather than tempeh
(Pramudya, 2015). In addition, brain-gut microbiota axis
was found to trigger inflammation and metabolic
diseases, such as dementia. Indonesian elderly
participants with high tofu intake had worse memory
compare to participants who consumed tempeh (Alkasir
et al., 2017).
The enhancement of beneficial bacteria was
observed in female participants, which have higher
hormone fluctuations compare to male, by nature.
Therefore, we hypothesized that enhancement of
beneficial bacteria in male participants might develop
different gut microbiota profiles.
Further study is needed to conclude whether the
enhancement of beneficial bacteria was due to the bean
in tempeh solely; or due to the interaction of bean and
consortium of microbes inside of tempeh.
4. Conclusion
Taken together, tempeh and soymilk consumption
gave different effects on gut microbiota composition. In
general, we found that tempeh consumption modulated
gut microbiota towards a healthier profile by increasing
the number of Bifidobacterium and A. muciniphila
significantly. These results were important as a baseline
for future researches to explore the potential of tempeh
in managing metabolic syndrome diseases, such as
obesity and type-2 diabetes. Furthermore, a more
controlled diet for every participant is suggested, to
obtain a stronger evidence of tempeh’s effects in
modulating human gut microbiota.
Conflict of Interest
The authors declare no conflict of interest.
Acknowledgement
This research was supported by grant from Faculty
of Biotechnology, Atma Jaya Catholic University of
Indonesia to Antonius Suwanto.
Reference
Alkasir, R., Li, J., Li, X., Jin, M. and Zhu, B. (2017).
Human gut microbiota: the links with dementia
development. Protein Cell, 8(2), 90-102. https://
doi.org/10.1007/s13238-016-0338-6
Anandharaj, M., Sivansankari, B. and Rani, R.P. (2014).
Effects of probiotics, probiotics, dan synbiotics on
hypercholesterolemia: a review. Chinese Journal of
Biology, 2014, 1-7. https://
doi.org/10.1155/2014/572754
Andreasen, A.S., Larsen, N., Pedersen-Skovsgaard, T.,
Berg, R.M.G., Møller, K., Svendsen, K.D., Jakobsen,
M. and Pedersen, B.K. (2010). Effects of
Lactobacillus acidophilus NCFM on insulin
sensitivity and the systemic inflammatory response
in human subjects. British Journal of Nutrition, 104
(12), 1831-1838. https://doi.org/10.1017/
S0007114510002874
Babu, P.D., Bhakyaraj, R. and Vidhyalakshmi, R.
(2009). A low cost nutritious food “tempeh”- a
review. World Journal of Dairy Food Science, 4(1),
FULL PAPER
62 Stephanie et al. / Food Research 3 (1) (2019) 57 - 63
eISSN: 2550-2166 © 2018 The Authors. Published by Rynnye Lyan Resources
22-27.
Barus, T., Suwanto, A., Wahyudi, A.T. and Wijaya, H.
(2008). Role of bacteria in tempeh bitter taste
formation: microbiological and molecular biological
analysis based on 16S rRNA gene. Microbiology
Indonesia, 2(1), 17-21. https://doi.org/10.5454/
mi.2.1.4
Bressa, C., Bailén-Andrino, M., Pérez-Santiago, J.,
González-Soltero, R., Pérez, M., Montalvo-
Lominchar, M.G., Maté-Muñoz, J.L., Domínguez,
R., Moreno, D. and Larrosa, M. (2017). Differences
in gut microbiota profile between women with active
lifestyle and sedentary women. PLoS ONE, 12,
e0171352. https://doi.org/10.1371/
journal.pone.0171352
Cani, P.D., Geurts. L., Matamoros, S., Plovier, H. and
Duparc, T. (2014). Glucose metabolism: focus on
gut microbiota, the endocannabinoid system and
beyond. Diabetes and Metabolism, 40(4), 246-257.
https://doi.org/10.1016/j.diabet.2014.02.004
Collado, M.C., Derrien, M., Isolauri, E., de Vos, W.M.
and Salminen, S. (2007). Intestinal integrity and
Akkermansia muciniphila, a mucin-degrading
member of intestinal microbiota present in infants,
adults, and the elderly. Applied and Environmental
Microbiology, 73(23), 7767-7770. https://
doi.org/10.1128/AEM.01477-07
Dao, M.C., Everard, A., Aron-Wisnewsky, J.,
Sokolovska, N., Prifti, E., Verger, E.O., Kayser,
B.D., Levenez, F., Chilloux, J., Hoyles, L., MICRO-
Obes Consortium, Dumas, M.-E., Rizkalla, S.W.,
Doré, J., Cani, P.D. and Clément, K. (2016).
Akkermansia muciniphila improved metabolic health
during a dietary intervention in obesity: relationship
with gut microbiome richness and ecology. Gut
Microbes, 65(3), 426-436. https://doi.org/10.1136/
gutjnl-2014-308778
Everard, A., Belzer, C., Geurts, L., Ouwerkerk, J.P.,
Druart, C., Bindels, L.B., Guiot, Y., Derrien, M.,
Muccioli, G.G., Delzenne, N.M., de Vos, W.M. and
Cani, P.D. (2012). Cross-talk between Akkermansia
muciniphila and intestinal epithelium controls diet-
induced obesity. Proceedings of the National
Academy of Sciences, 110(22), 9066-9071. https://
doi.org/10.1073/pnas.1219451110
Fujimura, K., Slusher, N., Cabana, M. and Lynch, S.
(2010). Role of the gut microbiota in defining human
health. Expert Review of Anti-Infective Therapy, 8
(4), 435-454. https://doi.org/10.1586/eri.10.14
Goffredo, M., Mass, K., Parks, M.J., Wagner, D.A., Mc
Clure, E.A., Graf, J., Savoye, M., Pierpont, B.,
Cline, G. and Santoro, N. (2016). Role of gut
microbiota and short chain fatty acids in modulating
energy harvest and fat partitioning in youth. The
Journal of Clinical Endocrinology and Metabolism,
101(11), 4367-4376. https://doi.org/10.1210/jc.2016-
1797
Hogervorst, E., Sdjimim, T., Yesufu, A., Kreager, P. and
Rahardjo, T.B. (2008). High tofu intake is associated
with worse memory in elderly Indonesian man and
women. Dementia and Geriatric Cognitive
Disorders, 26(1), 50-57. https://
doi.org/10.1159/000141484
Holscher, H.D. (2017). Dietary fiber and prebiotics and
the gastrointestinal microbiota. Gut Microbes, 8(2),
172-184. https://
doi.org/10.1080/19490976.2017.1290756
Matsuki, T., Watanabe, K., Fujimoto, J., Takada, T. and
Tanaka, R. (2004). Use of 16S rRNA gene-targeted
group-specific primers for real-time PCR analysis of
predominant bacteria in human feces. Applied
Environment Microbiology, 70(12), 7220-7228.
https://doi.org/10.1128/AEM.70.12.7220-7228.2004
Monk, J.M., Lepp, D., Wu, W., Graf, D., Hutchinson,
A.L., Robinson, L.E. and Power, K.A. (2016). Navy
bean supplementation in obesity increases
Akkermansia muciniphila abundance and attenuates
obesity related impairments in gut barrier function.
The FASEB Journal, 30(Suppl. 1), 421.2.
Musso, G., Gambino, R. and Cassader, M. (2010).
Obesity, diabetes, and gut microbiota. The hygiene
hypothesis expanded? Diabetes Care, 33(10), 2277-
2284. https://doi.org/10.2337/dc10-0556
Nout, M.J.R. and Kiers, J.L. (2005). Tempe
fermentation, innovation, and functionality: update
into the third millennium. Journal of Applied
Microbiology, 98(4), 789-805. https://
doi.org/10.1111/j.1365-2672.2004.02471.x
Patterson, E., Ryan, P.M., Cryan, J.F., Dinan, T.G.,
Ross, R.P., Fitzgerald, G.F. and Stanton, C. (2016).
Gut microbiota, obesity, and diabetes. Postgraduate
Medical Journal, 92(1087), 286-300. https://
doi.org/10.1136/postgradmedj-2015-133285
Pramudya, G. (2015). Efek tempe terhadap kemunculan
Enterococcus yang resisten Amoxcicillin pada feces
manusia setelah konsumsi Amoxicillin-asam
klavulanat. Jakarta, Indonesia: Atma Jaya Catholic
University of Indonesia: BSc thesis [Bahasa
Indonesia].
Radita, R., Suwanto, A., Kurosawa, N., Wahyudi, A.T.
and Rusmana, I. (2017). Metagenome analysis of
tempeh production: Where did the bacterial
community in tempeh come from? Malaysian
Journal of Microbiology, 13(4), 280-288.
Rampelli, S., Candela, M., Severgnini M., Biagi E.,
FULL PAPER
Stephanie et al. / Food Research 3 (1) (2019) 57 - 63 63
eISSN: 2550-2166 © 2018 The Authors. Published by Rynnye Lyan Resources
Turroni S., Roselli, M., Carnevali, P., Donini, L. and
Brigidi, P. (2013). A probiotics-containing biscuit
modulates the intestinal microbiota in the elderly.
The Journal of Nutrition, Health, and Aging, 17(2),
166-172. https://doi.org/10.1007/s12603-012-0372-x
Roopchand, D.E., Carmody, R.N., Kuhn, P., Moskal, K.,
Rojas-Silvia, P., Turnbaugh, P.J. and Raskin, I.
(2015). Dietary polyphenols promote growth of the
gut bacterium Akkermansia muciniphila and
attenuate high-fat diet-induced metabolic syndrome.
Diabetes, 64(8), 2847-2858. https://doi.org/10.2337/
db14-1916
Seo, M., Heo, J., Yoon, J., Kim, S.-Y., Kang, Y.-M., Yu,
J. and Cho, S. (2017). Methanobrevibacter
attenuation via probiotic intervention reduces
flatulence in adult human: A non-randomised paired-
design clinical trial of efficacy. PLoS ONE, 12(9),
e0184547. https://doi.org/10.1371/
journal.pone.0184547
Soka, S., Suwanto, A., Sajuthi, D. and Rusmana, I.
(2014). Impact of tempeh supplementation on gut
microbiota composition in Sprague-Dawley rats.
Research Journal of Microbiology, 9(4), 189-198.
https://doi.org/10.3923/jm.2014.189.198
Soka, S., Suwanto, A., Sajuthi, D. and Rusmana, I.
(2015). Impact of tempeh supplementation on
mucosal immunoglobulin A in Sprague-Dawley
Rats. Food Science and Biotechnology, 24(4), 1481-
1486. https://doi.org/10.1007/s10068-015-0191-z
Sprong, R.C., Schonewille, A.J. and van der Meer, R.
(2010). Dietary cheese whey protein protects rats
against mild dextran sulfate sodium-induced colitis:
role of mucin and microbiota. Journal of Dairy
Science, 93(4), 1364-1371. https://doi.org/10.3168/
jds.2009-2397
Steenbergen, L., Sellaro, R., van Hemert, S., Bosch, J.A.
and Colzato, L.S. (2015). A randomized controlled
trial to test the effect of multispecies probiotics on
cognitive reactivity to sad mood. Brain, Behavior,
and Immunity, 48, 258-264. https://doi.org/10.1016/
j.bbi.2015.04.003
Stephanie, Ratih, N.K., Soka, S. and Suwanto, A. (2017).
Effect of tempeh supplementation on the profiles of
human intestinal immune system and gut microbiota.
Microbiology Indonesia, 11(1), 11-17. https://
doi.org/10.5454/mi.11.1.2
Teixeira, T.F.S., Grzeskowiak, L.M., Salminen, S.,
Laitinen, K., Bressan, J. and Peluzio, M.D.C.G.
(2013). Fecal levels of Bifidobacterium and
Clostridium coccoides but not plasma
lipopolysaccharide are inversely related to insulin
and HOMA index in women. Clinical Nutrition, 32
(6), 1017-1022. https://doi.org/10.1016/
j.clnu.2013.02.008
Wang, J., Tang, H., Zhang, C., Zhao, Y., Derrien, M.,
Rocher, E., Vlieg, J.E.V.-H., Strissel, K., Zhao, L.,
Obin, M. and Shen, J. (2015). Modulation of gut
microbiota during probiotic-mediated attenuation of
metabolic syndrome in high fat diet-fed mice. The
ISME Journal, 9(1), 1-15. https://doi.org/10.1038/
ismej.2014.99
FULL PAPER
