Literature DB >> 28593350

Age-Related Changes in the Composition of Gut Bifidobacterium Species.

Kumiko Kato1, Toshitaka Odamaki2, Eri Mitsuyama2, Hirosuke Sugahara2, Jin-Zhong Xiao2, Ro Osawa3.   

Abstract

Bifidobacteria are one of the major components in human microbiota that are suggested to function in maintaining human health. The colonization and cell number of Bifidobacterium species in human intestine vary with ageing. However, sequential changes of Bifidobacterium species ranging from newborns to centenarians remain unresolved. Here, we investigated the gut compositional changes of Bifidobacterium species over a wide range of ages. Faecal samples of 441 healthy Japanese subjects between the ages of 0 and 104 years were analysed using real-time PCR with species-specific primers. B. longum group was widely detected from newborns to centenarians, with the highest detection rate. B. breve was detected in approximately 70% of children under 3 years old. B. adolescentis and B. catenulatum groups were predominant after weaning. B. bifidum was detected at almost all ages. The detection rate of B. dentium was higher in the elderly than in other ages. B. animalis ssp. lactis was detected in 11.4% of the subjects and their ages were restricted. B. gallinarum goup was detected in only nine subjects, while B. minimum and B. mongoliense were undetected at any age. The presence of certain Bifidobacterium groups was associated with significantly higher numbers of other Bifidobacterium species/subspecies. Inter-species correlations were found among each species, exception for B. animalis ssp. lactis. These results revealed the patterns and transition points with respect to compositional changes of Bifidobacterium species that occur with ageing, and the findings indicate that there may be symbiotic associations between some of these species in the gut microbiota.

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Year:  2017        PMID: 28593350      PMCID: PMC5486783          DOI: 10.1007/s00284-017-1272-4

Source DB:  PubMed          Journal:  Curr Microbiol        ISSN: 0343-8651            Impact factor:   2.188


Introduction

Members of the genus Bifidobacterium naturally inhabit human gastrointestinal tract (GIT), and are thought to play pivotal roles in maintaining human health [4, 12]. Bifidobacterium is the most predominant genus of the breast-fed infant gut microbiota. However, the numbers of this genus substantially decrease after weaning and continue to decrease with age [33, 40, 44]. In addition, bifidobacterial composition at species level was reported to vary between life stages. To date, approximately ten species/subspecies Bifidobacterium have been found in human intestine. Previous reports have shown that Bifidobacterium breve and B. longum are the predominant species of the infant intestinal microbiota [2, 16]. Avershina et al. [1] evidently demonstrated that a switch occurs from a childhood- to an adult-associated microbial profile between one and two years of age. They further suggested that this change was driven by the keystone of B. breve strains. Bifidobacterium breve was highly prevalent in infant gut microbiota population during the first year of life, and showed negative correlation with B. longum in the adult population. In contrast to the infant gut, the adult gut microbiota is predominated by B. adolescentis and B. catenulatum groups, in addition to the infant-associated B. longum ssp. longum [1, 8, 15]. These adult-type predominant Bifidobacterium species persisted in elderly, with an increase in the prevalence of B. dentium species [8, 21, 28]. Recently, Wang et al. [39] revealed that the faecal Bifidobacterium species in centenarians of Chinese descent were different from those of young elderlies. Despite the common faecal Bifidobacterium species, including B. dentium, B. longum ssp. longum, B. thermophilum, members of the B. catenulatum group, and B. adolescentis in younger elderlies and centenarians, centenarians were reported to possess certain unique species, such as B. minimum, B. gallinarum/B. pullorum/B. saecularmay and B. mongoliense, which were absent in the younger elderlies [39]. Although some studies have compared the Bifidobacterium species present in healthy adults to those in infants and/or elderly individuals [8, 10, 41], no reports have examined the sequential changes that occur in Bifidobacterium species during life spans ranging from newborns to centenarians. The aim of this study was to improve the current understanding of the compositional changes of Bifidobacterium species along with ageing. Here, we investigated the sequential changes that occur in the composition of Bifidobacterium species in 441 healthy Japanese subjects over a wide age range, including individuals from 0 to 104 years old.

Materials and Methods

Subject

Four hundred forty-six faecal samples were collected from 441 community-dwelling Japanese volunteers (essentially one sample per time point per subject, except for two samples that were collected from two boys and one from one girl at only pre-weaning and weaning and three samples from one girl at pre-weaning, weaning and 5 years old) between 0 and 104 years of age (180 men, 261 women). Subjects aged over 80 years were recruited and confirmed to be community dwellers. Faecal samples were collected from subjects who participated in three different studies. Two study protocols [25, 26] included the collection of faeces from subjects aged 21 to 65 years or from community-dwelling elderly individuals, were approved by the Local Ethics Committee of the non-profit organization Japan Health Promotion Supporting Network (Wakayama, Japan). The third study protocol [25] including the collection of faeces from subjects aged 0 to 100 years old was approved by the ethical committee of the Kensyou-kai Incorporated Medical Institution (Osaka, Japan). Written and informed consent was obtained from all subjects or their legal guardians or relatives. The subjects were divided into 10-year age groups according to their age, except for subjects who were younger than 10 years old. Infants and children were divided into four groups: pre-weaning, weaning, weaned to 3 years old and 4–9 years old. The distribution of subjects according to age is shown in Table 1.
Table 1

Sample distribution

GroupAgeNumber of samples(Male/female)
Segmentation(Mean ± SD)
1Pre-weaning(0.3 ± 0.1)16(9/7)
2Weaning(0.8 ± 0.4)12(7/5)
3Weaned-3 years old(2.4 ± 0.6)21(10/11)
44–9 years old(5.9 ± 1.8)17(7/10)
1010–19 years old(14.1 ± 3.6)10(7/3)
2020–29 years old(25.8 ± 2.7)42(16/26)
3030–39 years old(34.3 ± 2.5)114(54/60)
4040–49 years old(43.7 ± 3.1)37(13/24)
5050–59 years old(53.5 ± 2.7)29(13/16)
6060-69 years old(64.2 ± 2.9)42(14/28)
7070–79 years old(75.5 ± 2.9)31(12/19)
8080–89 years old(83.2 ± 2.4)51(17/34)
9090–99 years old(94.2 ± 2.7)19(4/15)
100Over 100 years old(101.6 ± 1.8)5(0/5)
Total(44.9 ± 27.8)446(183/263)

Gut microbiota was analysed in one sample per subject, except for two samples that were obtained from one boy and one girl at pre-weaning and weaning and three samples that were obtained from one girl at pre-weaning, weaning and 5 years of age

Sample distribution Gut microbiota was analysed in one sample per subject, except for two samples that were obtained from one boy and one girl at pre-weaning and weaning and three samples that were obtained from one girl at pre-weaning, weaning and 5 years of age

DNA Extraction from Faecal Samples

The collection and storage of faecal samples and DNA extraction were performed using previously described methods [25].

Real-Time PCR

Real-time PCR was performed using an ABI PRISM 7500 Fast Real-Time PCR system (Thermo Fisher Scientific K.K., Uppsala, Sweden) with SYBR Premix Ex Taq (TaKaRa Bio, Shiga, Japan). Table 2 shows the primer sets that were used in this study. Since B. longum ssp. infantis, B. longum ssp. longum and B. longum ssp. suis are closely related in their 16S rDNA similarity [16, 18, 29], these three species are treated as the members of the B. longum group. Similarly, B. catenulatum and B. pseudocatenulatum are detected as the members of B. catenulatum group. B. adolescentis consisting genotypes A and B are detected with the primer sets for B. adolescentis group. Primer sets for B. gallinarum group, B. mongoliense and B. minimum were designed based on the sequences of a house keeping gene, clpC, with the sequences of related species/subspecies acquired from GenBank (http://www.ncbi.nlm.nih.gov/). After multiple alignments by MEGA 6 [31], unique regions were selected as a target for the specific primers. Since the genomic information of B. gallinarum, B. pullorum and B. saeculare is closely related [11], these three species are treated as B. gallinarum group and the primer set for B. gallinarum is designed to detect these three species.
Table 2

The PCR primers used to detect each species

Target speciesPrimerSequence (5′ to 3′)Reference
Bifidobacterium adolescentis groupBiADOg-1aCTCCAGTTGGATGCATGTC[16]
BiADOg-1bTCCAGTTGACCGCATGGT
BiADOg-2CGAAGGCTTGCTCCCAGT
Bifidobacterium animalis ssp. lactis Bflact2GTGGAGACACGGTTTCCC[37]
Bflact5CACACCACACAATCCAATAC
Bifidobacterium bifidum BiBIF-1CCACATGATCGCATGTGATTG[17]
BiBIF-2CCGAAGGCTTGCTCCCAAA
Bifidobacterium breve BiBRE-1CCGGATGCTCCATCACAC[17]
BiBRE-2ACAAAGTGCCTTGCTCCCT
Bifidobacterium catenulatum groupBiCATg-1CGGATGCTCCGACTCCT[17]
BiCATg-2CGAAGGCTTGCTCCCGAT
Bifidobacterium dentium BiDEN-1ATCCCGGGGGTTCGCCT[16]
BiDEN-2GAAGGGCTTGCTCCCGA
Bifidobacterium gallinarum groupBiGall_clpC_F2TGTGACGATCACCGATGCThis study
BiGall_clpC_R2GCTTGTGCAGCTCGCTCT
Bifidobacterium longum groupBiLONg-1TTCCAGTTGATCGCATGGTC[17]
BiLONg-2TCSCGCTTGCTCCCCGAT
Bifidobacterium longum ssp. longum BiLON-1TTCCAGTTGATCGCATGGTC[16]
BiLON-2GGGAAGCCGTATCTCTACGA
Bifidobacterium minimum BiMini_clpC_FGGTCTTCGCAGCCGGTATThis study
BiMini_clpC_FCGACAACCATGCTGACGTTC
Bifidobacterium mongoliense BiMong_clpC_FACGTGACCATCACCGACAAGThis study
BiMong_clpC_RCATCTTCACATCGGAACCAC
The PCR primers used to detect each species The amplification programme consisted of one cycle of 95 °C for 20 s, then 40 cycles of 95 °C for 20 s, 55 °C for 20 s and 72 °C for 50 s, and one final cycle of 95 °C for 15 s. The fluorescent product was detected in the last step of each cycle. Following amplification, a melting temperature analysis of the PCR products was performed to determine the specificity of the PCR. Melting curves were obtained by slow heating at 0.2 °C/s increments from 60 to 95 °C, with continuous collection of fluorescence data. To determine the number of Bifidobacterium species that were present in each sample, we compared the results to a standard curve that was generated using standard DNA in the same experiment. The following Bifidobacterium species were used as the standard strains for species-specific quantification: B. adolescentis JCM1275T, B. animalis ssp. lactis JCM1190T, B. bifidum JCM1255T, B. breve JCM1192T, B. dentium JCM1195T, B. gallinarum JCM6291T, B. longum ssp. longum JCM1217T, B. minimum JCM5821T, B. mongoliense JCM 15461T and B. pseudocatenulatum JCM1200T.

Statistical Analyses

All analyses were performed using the IBM SPSS Statistics, version 22.0, statistical software package (IBM Corp., Armonk, NY, USA). Intergroup differences in the number of species were analysed using unpaired t-tests. Spearman’s correlation coefficient was used to determine the relationships among Bifidobacterium species by substituting the data with 6 log10 for individuals under the detection limits. For all statements, P values < 0.05 were considered statistically significant.

Results

Quantitative PCR Detection of Bifidobacterium Species

Figures 1 and 2 show the distributions and detection rates, respectively, of the eight Bifidobacterium species that were found in the faeces of 441 subjects. B. longum group was widely detected (8.7 ± 0.9 log10 cells per gram of wet faeces) in the majority of individuals, from infants before weaning to centenarians, and its detection rate was the highest of the investigated species (88.1%). The distribution of B. longum ssp. longum was nearly equal to those of B. longum group (Online Resource 1). B. catenulatum group species and B. bifidum were also commonly detected at all ages except for the centenarians, but their detection rates were lower (61.7 and 28.3%, respectively) than the rate for B. longum group. The B. catenulatum group and the B. adolescentis group were predominant after weaning. Conversely, B. breve was detected in 71.4% of children under 3 years old. The number of B. breve cells decreased with age, although its detection rate was consistently high in individuals younger than 10 years old. B. dentium was detected in some of the subjects who were over 20 years old, and its detection rate increased until the subjects reached 90 years old. B. animalis ssp. lactis, which is not considered a species of the human gut microbiota, was also detected in 11.4% of the subjects, but it was restricted to individuals between weaning and less than 80 years old. Both B. dentium and B. animalis ssp. lactis were present as relatively small populations of 7.4 ± 0.7 and 7.9 ± 1.2 log10 cells per gram of wet faeces, respectively. B. gallinarum goup was detected in only nine subjects aged 31–84 years, while B. minimum and B. mongoliense were not detected at any age.
Fig. 1

Distribution of seven Bifidobacterium species in the faeces of healthy Japanese subjects aged 0–104 years. Cell numbers were determined as the log10 of cells per gram wet weight of faecal samples. The box plots show the interquartile range (IQR) of the cell numbers shown in each section. Open circles and asterisks indicate outliers between 1.5- and 3.0-fold IQR and over 3.0-fold IQR, respectively. The age of each group is as shown in Table 1. The detection limits for each bacterial species were determined using real-time PCR to be 106/g wet weight of faeces

Fig. 2

Detection rate of each bifidobacteria species in each segmented age group. ADO, B. adolescentis group; LAC, B. animalis spp. lactis; BIF, B. bifidum; BRE, B. breve; CAT, B. catenulatum group; DEN, B. dentium; GAL, B. gallinarum group;LON, B. longum group. The age of each group is as shown in Table 1

Distribution of seven Bifidobacterium species in the faeces of healthy Japanese subjects aged 0–104 years. Cell numbers were determined as the log10 of cells per gram wet weight of faecal samples. The box plots show the interquartile range (IQR) of the cell numbers shown in each section. Open circles and asterisks indicate outliers between 1.5- and 3.0-fold IQR and over 3.0-fold IQR, respectively. The age of each group is as shown in Table 1. The detection limits for each bacterial species were determined using real-time PCR to be 106/g wet weight of faeces Detection rate of each bifidobacteria species in each segmented age group. ADO, B. adolescentis group; LAC, B. animalis spp. lactis; BIF, B. bifidum; BRE, B. breve; CAT, B. catenulatum group; DEN, B. dentium; GAL, B. gallinarum group;LON, B. longum group. The age of each group is as shown in Table 1

Differences in Bifidobacterium Species Across Individuals

We then investigated the number of species that were detected in each individual. The mode for the species number was 2 to 4 in almost all segmented age groups (Fig. 3a). We found that the presence of B. longum group, B. adolescentis group, B. catenulatum group or B. bifidum led to the detection of significantly higher numbers of other Bifidobacterium species (Fig. 3b). The difference was the largest between subjects with (2.18 ± 1.17) or without (0.92 ± 0.75) B. longum group. A correlation analysis revealed that the presence of B. longum group was significantly associated with the presence of B. catenulatum group (r = 0.414, P < 0.001), B. breve (r = 0.320, P < 0.001), B. adolescentis group (r = 0.239, P < 0.001), B. bifidum (r = 0.139, P = 0.003) and B. gallinarum group (r = 0.123, P = 0.009, Fig. 4). B. breve, which was defined as an infant-type species, showed the significant negative correlation with B. adolescentis group species (r = −0.124, P = 0.009), which were defined as adult-type species. B. adolescentis group was significantly associated with B. gallinarum group (r = 0.145, P = 0.002) and B. catenulatum group (r = 0.119, P < 0.001). Another significant negative correlation was observed in B. dentium, which was defined as an elderly type species, and B. catenulatum group species (r = −0.142, P < 0.001). B. animalis ssp. lactis was not significantly correlated with other Bifidobacterium species.
Fig. 3

Number of Bifidobacterium species. a Distribution of the numbers of Bifidobacterium species that were found in individuals in each age group. The age of each group is as shown in Table 1. b Differences in species numbers between subjects with or without the presence of identical species (i.e. the number of species excluding the identical species). ADO, B. adolescentis group; LAC, B. animalis spp. lactis; BIF, B. bifidum; BRE, B. breve; CAT, B. catenulatum group; DEN, B. dentium; GAL, B. gallinarum group; LON, B. longum group

Fig. 4

Possible ecological compatibility among Bifidobacterium species. The solid and dashed lines indicate positive and negative correlations, respectively. The widths of the connected lines indicate the abundance of the coefficient value. ADO, B. adolescentis group; LAC, B. animalis spp. lactis; BIF, B. bifidum; BRE, B. breve; CAT, B. catenulatum group; DEN, B. dentium; GAL, B. gallinarum group; LON, B. longum group. Online Resource 1. Distribution of B. longum ssp. longum in the faeces of healthy Japanese subjects aged 0–104 years. The age of each group is as shown in Table 1

Number of Bifidobacterium species. a Distribution of the numbers of Bifidobacterium species that were found in individuals in each age group. The age of each group is as shown in Table 1. b Differences in species numbers between subjects with or without the presence of identical species (i.e. the number of species excluding the identical species). ADO, B. adolescentis group; LAC, B. animalis spp. lactis; BIF, B. bifidum; BRE, B. breve; CAT, B. catenulatum group; DEN, B. dentium; GAL, B. gallinarum group; LON, B. longum group Possible ecological compatibility among Bifidobacterium species. The solid and dashed lines indicate positive and negative correlations, respectively. The widths of the connected lines indicate the abundance of the coefficient value. ADO, B. adolescentis group; LAC, B. animalis spp. lactis; BIF, B. bifidum; BRE, B. breve; CAT, B. catenulatum group; DEN, B. dentium; GAL, B. gallinarum group; LON, B. longum group. Online Resource 1. Distribution of B. longum ssp. longum in the faeces of healthy Japanese subjects aged 0–104 years. The age of each group is as shown in Table 1

Discussion

The composition of the gut microbiota changes with age [22]. Recent studies using molecular methods have also indicated that there are clear differences in the composition of the gut microbiota between infants, toddlers, adults and the elderly [3]. Some reports have shown that there are intermittent differences between age groups [3, 8, 27, 41]. However, few reports have investigated the long-term, sequential changes in the composition of gut microbiota. Recently, we showed that there are sequential changes in the composition of the gut microbiota at the genus level in Japanese subjects over a wide range of ages, from 0 to 104 years old [25]. In this study, we focused on the genus Bifidobacterium and investigated the details of the changes that occurred in these species at the species level over the study age range. Our results are in agreement with those of previous studies indicating that there are differences in the proportions and types of Bifidobacterium species in the gut microbiota between infants, adults and the elderly [1, 8, 41]. Our results show the patterns and transition points that occur with ageing in the prevalence of each Bifidobacterium species. There is a decrease in the cell numbers of B. breve in subjects over 50 years old. Conversely, there is an increase in the cell numbers of B. dentium, a bacteria species whose genomic sequence has been reported to reflect its adaptation to human oral cavities [38], in subjects over 60 years old. We have found that certain oral bacteria that have been suggested to have difficulty in reaching the intestinal tract due to the GIT barriers, such as gastric juices and bile acid, were enriched in the elderly gut microbiota [25]. Our data imply that the decline in GIT functionality in the elderly might lead to significant changes in the presence of B. dentium and other oral bacteria in the gut. Bifidobacterium longum group was the major species that were detected in all segmented age groups. Among B. longum group, B. longum ssp. longum and B. longum ssp. infantis have been reported to be detected in human gut microbiota [14, 16]. The distribution of B. longum ssp. longum was nearly equal to those of B. longum group, suggesting that the majority of B. longum group in human gut microbiota was B. longum ssp. longum at least in this study. Some strains of B. longum ssp. longum were shown to be genetically equipped to utilize both plant-derived and human milk oligosaccharide (HMO)-derived sugars [24, 42]. This characteristic might explain why B. longum ssp. longum is a widespread species at all ages. We also tried to evaluate the distribution of B. longum ssp. infantis, which has been reported to be a champion colonizer from the perspective of genomic information [36] and was frequently found in infants [16, 21]. However, we failed to enumerate them precisely due to a cross-reactivity of the reported specific primers, which were designed based on the sequence of type strain B. longum ssp. infantis [16, 30], against some strains of B. breve (data not shown). In addition, recent studies based on genomic information have indicated some mismatches between phenotype and genotype property, e.g. B. longum ssp. infantis 157 F and CCUG 52,486, which are assigned to infantis subspecies based on the phenotypes but are genetically longum subspecies [23]. Future studies such as taxonomical investigation as well as development of primers with high specificity are necessary to accurately estimate the cell numbers of B. longum ssp. infantis in the human gut microbiota. B. animalis ssp. lactis, which is not considered a species of the human gut microbiota [35], was also detected in 11.4% of the subjects. Because this taxon is predicted to have a limited number of hypothetical glycosyl hydrolases/carbohydrate pathways [19, 20, 24], it seems to be unsuitable for using the carbon resources in the human gut environment. However, because B. animalis ssp. lactis is commonly applied as a probiotic in dairy products, its detection might be a reflection of food intake such as yogurt. Further identification of the B. animalis ssp. lactis strain found in the subjects and/or information regarding the dietary habits of the subjects would clarify the reason of this finding. The correlation analysis indicated that all of the species investigated in this study, with the exception of B. animalis ssp. lactis, were significantly correlated with other species. These results also suggest that B. animalis ssp. lactis is not a commensal component in the human gut. Previous study reported the detection of B. gallinarum/B. pullorum/B. saecularmay, B. minimum and B. mongoliense in Chinese centenarian [39]. However, these species were not detected in the five Japanese centenarians in the present study. We found that subjects in whom B. longum group, B. bifidum, B. adolescentis group or B. catenulatum group species were detected to possess a significantly higher number of other Bifidobacterium species, suggesting that there may be symbiotic associations between Bifidobacterium species. B. breve was reportedly to be capable of cross-feeding on sugars released during the mucin-degrading activity of B. bifidum, which can utilize host-derived glycans, including those present in mucin [34] or HMOs [5], via two secreted N-acetyl-β-glucosaminidases and two secreted sialidases, respectively [20]. In a clinical study, Tannock et al. [32] also reported that breast milk-fed infants who harboured B. bifidum comprising greater than 10% of the total microbiota, had the highest abundances of total bifidobacteria. Interestingly, Ferrario et al. [7] found that co-cultivating Bifidobacterium species in media that simulated the adult and infant human gut environments resulted in an increase in the transcription of key genes required for biosynthesis of exopolysaccharides, which have been reported to have some important roles for modulating various aspects of bifidobacterial–host interaction, including the ability of commensal bacteria to remain immunologically silent and in turn provide pathogen protection [6]. However, it is still unclear whether these positive relationships are consistent among the Bifidobacterium species studied in this study as it is possible that these species which possess a positive correlation might just grow well under the same environmental conditions without sharing a mutualistic relationship. The results of our statistical analysis must therefore be interpreted cautiously because they are based on a limited dataset. An advanced culture method is necessary to clarify the relationships between each set of Bifidobacterium species. Similar to what was found in a previous report [16], we found that the average number of species detected per individual was two and three in infants and adults, respectively. The average number of species was not different between adults and the elderly, until they reached 81–90 years old, at which point the number was slightly decreased with age in individuals over 91 years old. The average number of species and the cell numbers of each species in centenarians were relatively lower, but B. longum group, B adolescentis group and B. dentium were detected in centenarians. In previous reports, B. longum ssp. longum and B. adolescentis group were isolated from Chinese centenarians [9, 13], and these species have been suggested to improve intestinal digestion and the ability to enhance immune-barrier functions in mouse models [43]. These species may have important functions that contribute to the maintenance of a healthy condition in centenarians. In conclusion, we provide a picture of the changes of Bifidobacterium species that occur with ageing in the gut microbiota. Our results indicate that there are patterns and transition points with respect to age-related changes in the composition of Bifidobacterium species. The positive correlations of our findings highlighted that there may be symbiotic associations between human residential species. Our findings contribute to clarifying what is known about the composition of bifidobacteria in the gut of healthy populations at each age period. Further analyses that investigate genomic information and in vitro co-cultivation experiments would be valuable for evaluating the relationships between Bifidobacterium species. Below is the link to the electronic supplementary material. Supplementary material 1 (PPTX 110 kb) Supplementary material 2 (DOC 31 kb)
  42 in total

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Authors:  Saranna Fanning; Lindsay J Hall; Michelle Cronin; Aldert Zomer; John MacSharry; David Goulding; Mary O'Connell Motherway; Fergus Shanahan; Kenneth Nally; Gordon Dougan; Douwe van Sinderen
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-23       Impact factor: 11.205

2.  Genome analysis of Bifidobacterium bifidum PRL2010 reveals metabolic pathways for host-derived glycan foraging.

Authors:  Francesca Turroni; Francesca Bottacini; Elena Foroni; Imke Mulder; Jae-Han Kim; Aldert Zomer; Borja Sánchez; Alessandro Bidossi; Alberto Ferrarini; Vanessa Giubellini; Massimo Delledonne; Bernard Henrissat; Pedro Coutinho; Marco Oggioni; Gerald F Fitzgerald; David Mills; Abelardo Margolles; Denise Kelly; Douwe van Sinderen; Marco Ventura
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-25       Impact factor: 11.205

Review 3.  Intestinal bacteria and ageing.

Authors:  E J Woodmansey
Journal:  J Appl Microbiol       Date:  2007-05       Impact factor: 3.772

4.  Distribution of bifidobacterial species in human intestinal microflora examined with 16S rRNA-gene-targeted species-specific primers.

Authors:  T Matsuki; K Watanabe; R Tanaka; M Fukuda; H Oyaizu
Journal:  Appl Environ Microbiol       Date:  1999-10       Impact factor: 4.792

5.  Transmission of intestinal Bifidobacterium longum subsp. longum strains from mother to infant, determined by multilocus sequencing typing and amplified fragment length polymorphism.

Authors:  Hiroshi Makino; Akira Kushiro; Eiji Ishikawa; Delphine Muylaert; Hiroyuki Kubota; Takafumi Sakai; Kenji Oishi; Rocio Martin; Kaouther Ben Amor; Raish Oozeer; Jan Knol; Ryuichiro Tanaka
Journal:  Appl Environ Microbiol       Date:  2011-08-05       Impact factor: 4.792

6.  Modulation of the eps-ome transcription of bifidobacteria through simulation of human intestinal environment.

Authors:  Chiara Ferrario; Christian Milani; Leonardo Mancabelli; Gabriele Andrea Lugli; Sabrina Duranti; Marta Mangifesta; Alice Viappiani; Francesca Turroni; Abelardo Margolles; Patricia Ruas-Madiedo; Douwe van Sinderen; Marco Ventura
Journal:  FEMS Microbiol Ecol       Date:  2016-03-08       Impact factor: 4.194

Review 7.  Bifidobacteria: their impact on gut microbiota composition and their applications as probiotics in infants.

Authors:  Diana Di Gioia; Irene Aloisio; Giuseppe Mazzola; Bruno Biavati
Journal:  Appl Microbiol Biotechnol       Date:  2013-11-28       Impact factor: 4.813

8.  Oral administration of live Bifidobacterium substrains isolated from centenarians enhances intestinal function in mice.

Authors:  Haiying Yang; Aiping Liu; Ming Zhang; Salam A Ibrahim; Zhihua Pang; Xiaojing Leng; Fazheng Ren
Journal:  Curr Microbiol       Date:  2009-08-22       Impact factor: 2.188

9.  Bifidobacteria exhibit social behavior through carbohydrate resource sharing in the gut.

Authors:  Christian Milani; Gabriele Andrea Lugli; Sabrina Duranti; Francesca Turroni; Leonardo Mancabelli; Chiara Ferrario; Marta Mangifesta; Arancha Hevia; Alice Viappiani; Matthias Scholz; Stefania Arioli; Borja Sanchez; Jonathan Lane; Doyle V Ward; Rita Hickey; Diego Mora; Nicola Segata; Abelardo Margolles; Douwe van Sinderen; Marco Ventura
Journal:  Sci Rep       Date:  2015-10-28       Impact factor: 4.379

10.  Comparative Genomics Revealed Genetic Diversity and Species/Strain-Level Differences in Carbohydrate Metabolism of Three Probiotic Bifidobacterial Species.

Authors:  Toshitaka Odamaki; Ayako Horigome; Hirosuke Sugahara; Nanami Hashikura; Junichi Minami; Jin-Zhong Xiao; Fumiaki Abe
Journal:  Int J Genomics       Date:  2015-07-05       Impact factor: 2.326

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  37 in total

1.  Dysbiosis of intestinal microbiota in critically ill patients and risk of in-hospital mortality.

Authors:  Ru Wei; Xu Chen; Linhui Hu; Zhimei He; Xin Ouyang; Silin Liang; Shixue Dai; Weihong Sha; Chunbo Chen
Journal:  Am J Transl Res       Date:  2021-03-15       Impact factor: 4.060

2.  Hypolipidemic effect of soluble dietary fibers prepared from Asparagus officinalis and their effects on the modulation of intestinal microbiota.

Authors:  Miansong Zhang; Mengke Yao; Airong Jia; Yaping Shi; Xinfeng Bai; Xue Liu; Tingting Cui; Xin Liu; Changheng Liu
Journal:  Food Sci Biotechnol       Date:  2021-11-16       Impact factor: 2.391

Review 3.  Coevolution of the Human Host and Gut Microbiome: Metagenomics of Microbiota.

Authors:  Maryam Shahab; Nimra Shahab
Journal:  Cureus       Date:  2022-06-24

4.  Anticancer effects of bifidobacteria on colon cancer cell lines.

Authors:  Zeinab Faghfoori; Mohammad Hasan Faghfoori; Amir Saber; Azimeh Izadi; Ahmad Yari Khosroushahi
Journal:  Cancer Cell Int       Date:  2021-05-12       Impact factor: 5.722

5.  Bifidobacterium response to lactulose ingestion in the gut relies on a solute-binding protein-dependent ABC transporter.

Authors:  Keisuke Yoshida; Rika Hirano; Yohei Sakai; Moonhak Choi; Mikiyasu Sakanaka; Shin Kurihara; Hisakazu Iino; Jin-Zhong Xiao; Takane Katayama; Toshitaka Odamaki
Journal:  Commun Biol       Date:  2021-05-10

6.  Combined effects of host genetics and diet on human gut microbiota and incident disease in a single population cohort.

Authors:  Michael Inouye; Guillaume Méric; Youwen Qin; Aki S Havulinna; Yang Liu; Pekka Jousilahti; Scott C Ritchie; Alex Tokolyi; Jon G Sanders; Liisa Valsta; Marta Brożyńska; Qiyun Zhu; Anupriya Tripathi; Yoshiki Vázquez-Baeza; Rohit Loomba; Susan Cheng; Mohit Jain; Teemu Niiranen; Leo Lahti; Rob Knight; Veikko Salomaa
Journal:  Nat Genet       Date:  2022-02-03       Impact factor: 38.330

Review 7.  Insights into the reason of Human-Residential Bifidobacteria (HRB) being the natural inhabitants of the human gut and their potential health-promoting benefits.

Authors:  Chyn Boon Wong; Toshitaka Odamaki; Jin-Zhong Xiao
Journal:  FEMS Microbiol Rev       Date:  2020-05-01       Impact factor: 16.408

Review 8.  Gold standard for nutrition: a review of human milk oligosaccharide and its effects on infant gut microbiota.

Authors:  Shunhao Zhang; Tianle Li; Jing Xie; Demao Zhang; Caixia Pi; Lingyun Zhou; Wenbin Yang
Journal:  Microb Cell Fact       Date:  2021-05-28       Impact factor: 5.328

Review 9.  Enzymatic Adaptation of Bifidobacterium bifidum to Host Glycans, Viewed from Glycoside Hydrolyases and Carbohydrate-Binding Modules.

Authors:  Toshihiko Katoh; Miriam N Ojima; Mikiyasu Sakanaka; Hisashi Ashida; Aina Gotoh; Takane Katayama
Journal:  Microorganisms       Date:  2020-03-28

10.  Synbiotic Effect of Bifidobacterium lactis CNCM I-3446 and Bovine Milk-Derived Oligosaccharides on Infant Gut Microbiota.

Authors:  Benoît Marsaux; Pieter Van den Abbeele; Jonas Ghyselinck; Guénolée Prioult; Massimo Marzorati; Biljana Bogićević
Journal:  Nutrients       Date:  2020-07-29       Impact factor: 5.717

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