scholarly journals Enduring neurobehavioral effects induced by microbiota depletion during the adolescent period

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Gilliard Lach ◽  
Christine Fülling ◽  
Thomaz F. S. Bastiaanssen ◽  
Fiona Fouhy ◽  
Aoife N. O’ Donovan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gut Microbiota ◽  
Antibiotic Treatment ◽  
Brain Function ◽  
Early Life ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Extrinsic Factors ◽  
Neurobehavioral Effects ◽  
Adolescent Period

Abstract The gut microbiota is an essential regulator of many aspects of host physiology. Disruption of gut microbial communities affects gut-brain communication which ultimately can manifest as changes in brain function and behaviour. Transient changes in gut microbial composition can be induced by various intrinsic and extrinsic factors, however, it is possible that enduring shifts in the microbiota composition can be achieved by perturbation at a timepoint when the gut microbiota has not fully matured or is generally unstable, such as during early life or ageing. In this study, we investigated the effects of 3-week microbiota depletion with antibiotic treatment during the adolescent period and in adulthood. Following a washout period to restore the gut microbiota, behavioural and molecular hallmarks of gut-brain communication were investigated. Our data revealed that transient microbiota depletion had long-lasting effects on microbiota composition and increased anxiety-like behaviour in mice exposed to antibiotic treatment during adolescence but not in adulthood. Similarly, gene expression in the amygdala was more severely affected in mice treated during adolescence. Taken together these data highlight the vulnerability of the gut microbiota during the critical adolescent period and the long-lasting impact manipulations of the microbiota can have on gene expression and behaviour in adulthood.

scholarly journals The Interplay between Immunity and Microbiota at Intestinal Immunological Niche: The Case of Cancer

2019 ◽  
Vol 20 (3) ◽  
pp. 501 ◽  
Author(s):  
Rossella Cianci ◽  
Laura Franza ◽  
Giovanni Schinzari ◽  
Ernesto Rossi ◽  
Gianluca Ianiro ◽  
...  
Keyword(s):  
Gene Expression ◽  
Immune System ◽  
Gut Microbiota ◽  
Special Role ◽  
Microbiota Composition ◽  
Cancer Treatments ◽  
Microbial Composition ◽  
Different Types ◽  
The Impact ◽  
Influence Gene Expression

The gut microbiota is central to the pathogenesis of several inflammatory and autoimmune diseases. While multiple mechanisms are involved, the immune system clearly plays a special role. Indeed, the breakdown of the physiological balance in gut microbial composition leads to dysbiosis, which is then able to enhance inflammation and to influence gene expression. At the same time, there is an intense cross-talk between the microbiota and the immunological niche in the intestinal mucosa. These interactions may pave the way to the development, growth and spreading of cancer, especially in the gastro-intestinal system. Here, we review the changes in microbiota composition, how they relate to the immunological imbalance, influencing the onset of different types of cancer and the impact of these mechanisms on the efficacy of traditional and upcoming cancer treatments.

scholarly journals Long-Lasting Effects of Early-Life Antibiotic Treatment and Routine Animal Handling on Gut Microbiota Composition and Immune System in Pigs

PLoS ONE ◽  
2015 ◽  
Vol 10 (2) ◽  
pp. e0116523 ◽  
Author(s):  
Dirkjan Schokker ◽  
Jing Zhang ◽  
Stéphanie A. Vastenhouw ◽  
Hans G. H. J. Heilig ◽  
Hauke Smidt ◽  
...  
Keyword(s):  
Immune System ◽  
Gut Microbiota ◽  
Antibiotic Treatment ◽  
Early Life ◽  
Microbiota Composition ◽  
Animal Handling ◽  
Gut Microbiota Composition

scholarly journals Adaptive response to a future life challenge: consequences of early-life environmental complexity in dual-purpose chicks

2020 ◽  
Vol 98 (11) ◽  
Author(s):  
Chao Yan ◽  
Kate Hartcher ◽  
Wen Liu ◽  
Jinlong Xiao ◽  
Hai Xiang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gut Microbiota ◽  
Early Life ◽  
Plasma Corticosterone ◽  
Adaptive Plasticity ◽  
Environmental Complexity ◽  
Dual Purpose ◽  
Stress Related Genes ◽  
Life Challenge ◽  
Environmental Challenge

Abstract Conditions in early life play profound and long-lasting effects on the welfare and adaptability to stress of chickens. This study aimed to explore the hypothesis that the provision of environmental complexity in early life improves birds’ adaptive plasticity and ability to cope with a challenge later in life. It also tried to investigate the effect of the gut-brain axis by measuring behavior, stress hormone, gene expression, and gut microbiota. One-day-old chicks were split into 3 groups: (1) a barren environment (without enrichment items) group (BG, n = 40), (2) a litter materials group (LG, n = 40), and (3) a perches with litter materials group (PLG, n = 40). Then, enrichment items were removed and simulated as an environmental challenge at 31 to 53 d of age. Birds were subjected to a predator test at 42 d of age. In the environmental challenge, when compared with LG, PLG birds were characterized by decreased fearfulness, lower plasma corticosterone, improved gut microbial functions, lower relative mRNA expression of GR, and elevated mRNA expressions of stress-related genes CRH, BDNF, and NR2A in the hypothalamus (all P < 0.05). Unexpectedly, the opposite was true for the LG birds when compared with the BG (P < 0.05). Decreased plasma corticosterone and fearfulness were accompanied by altered hypothalamic gene mRNA expressions of BDNF, NR2A, GR, and CRH through the HPA axis in response to altered gut microbial compositions and functions. The findings suggest that gut microbiota may integrate fearfulness, plasma corticosterone, and gene expression in the hypothalamus to provide an insight into the gut-brain axis in chicks. In conclusion, having access to both perches and litter materials in early life allowed birds to cope better with a future challenge. Birds in perches and litter materials environment may have optimal development and adaptive plasticity through the gut-brain axis.

scholarly journals Monitoring the variation in the gut microbiota of captive woolly monkeys related to changes in diet during a reintroduction process

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Camilo Quiroga-González ◽  
Luis Alberto Chica Cardenas ◽  
Mónica Ramírez ◽  
Alejandro Reyes ◽  
Camila González ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Site Conditions ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Bacterial Composition ◽  
Diet Diversity ◽  
Woolly Monkeys ◽  
The Moment ◽  
Positive Effect ◽  
Lagothrix Lagothricha

AbstractMicrobiome is known to play an important role in the health of organisms and different factors such as diet have been associated with modifications in microbial communities. Differences in the microbiota composition of wild and captive animals has been evaluated; however, variation during a reintroduction process in primates has never been reported. Our aim was to identify changes in the bacterial composition of three individuals of reintroduced woolly monkeys (Lagothrix lagothricha) and the variables associated with such changes. Fecal samples were collected and the V4 region of the 16S rRNA gene was sequenced to determine gut microbial composition and functionality. Individual samples from released individuals showed a higher microbial diversity after being released compared to before liberation, associated with changes in their diet. Beta diversity and functionality analysis showed separation of samples from released and captive conditions and the major factor of variation was the moment of liberation. This study shows that intestinal microbiota varies depending on site conditions and is mainly associated with diet diversity. The intake of food from wild origin by released primates may promote a positive effect on gut microbiota, improving health, and potentially increasing success in reintroduction processes.

scholarly journals Integrative analysis of gut microbiota composition, host colonic gene expression and intraluminal metabolites in aging C57BL/6J mice

Aging ◽  
2018 ◽  
Vol 10 (5) ◽  
pp. 930-950 ◽  
Author(s):  
Benthe van der Lugt ◽  
Fenni Rusli ◽  
Carolien Lute ◽  
Andreas Lamprakis ◽  
Ethel Salazar ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gut Microbiota ◽  
Integrative Analysis ◽  
Microbiota Composition ◽  
Gut Microbiota Composition

scholarly journals Oral iron supplementation after antibiotic exposure induces a deleterious recovery of the gut microbiota

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Thibault Cuisiniere ◽  
Annie Calvé ◽  
Gabriela Fragoso ◽  
Manon Oliero ◽  
Roy Hajjar ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Antibiotic Treatment ◽  
Iron Supplementation ◽  
Pentose Phosphate ◽  
Oral Iron ◽  
Oral Antibiotic ◽  
Antibiotic Exposure ◽  
Microbiota Composition ◽  
Fecal Samples ◽  
Excess Iron

Abstract Background Oral iron supplementation is commonly prescribed for anemia and may play an important role in the gut microbiota recovery of anemic individuals who received antibiotic treatment. This study aims to investigate the effects of iron supplementation on gut microbiota recovery after antibiotics exposure. Results Mice were subjected to oral antibiotic treatment with neomycin and metronidazole and were fed diets with different concentrations of iron. The composition of the gut microbiota was followed throughout treatment by 16S rRNA sequencing of DNA extracted from fecal samples. Gut microbiota functions were inferred using PICRUSt2, and short-chain fatty acid concentration in fecal samples was assessed by liquid-chromatography mass spectrometry. Iron supplementation after antibiotic exposure shifted the gut microbiota composition towards a Bacteroidetes phylum-dominant composition. At the genus level, the iron-supplemented diet induced an increase in the abundance of Parasutterella and Bacteroides, and a decrease of Bilophila and Akkermansia. Parasutterella excrementihominis, Bacteroides vulgatus, and Alistipes finegoldii, were more abundant with the iron excess diet. Iron-induced shifts in microbiota composition were accompanied by functional modifications, including an enhancement of the biosynthesis of primary bile acids, nitrogen metabolism, cyanoamino acid metabolism and pentose phosphate pathways. Recovery after antibiotic treatment increased propionate levels independent of luminal iron levels, whereas butyrate levels were diminished by excess iron. Conclusions Oral iron supplementation after antibiotic therapy in mice may lead to deleterious changes in the recovery of the gut microbiota. Our results have implications on the use of oral iron supplementation after antibiotic exposure and justify further studies on alternative treatments for anemia in these settings.

scholarly journals The microbiota of farmed mink (Neovison vison) follows a successional development and is affected by early life antibiotic exposure

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Martin Iain Bahl ◽  
Anabelle Legarth Honoré ◽  
Sanne Tygesen Skønager ◽  
Oliver Legarth Honoré ◽  
Tove Clausen ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Early Life ◽  
Intramuscular Administration ◽  
Control Group ◽  
Rrna Gene ◽  
Antibiotic Administration ◽  
Lactation Period ◽  
Microbiota Composition ◽  
Gut Microbiota Composition ◽  
Successional Development

AbstractOn many mink farms, antibiotics are used extensively during the lactation period to reduce the prevalence and severity of pre-weaning diarrhoea (PWD) in mink kits (also referred to as greasy kit syndrome). Concerns have been raised, that routine treatment of PWD with antibiotics could affect the natural successional development of the gut microbiota, which may have long lasting consequences. Here we investigated the effects of early life antibiotic treatment administered for 1 week (postnatal days 13–20). Two routes of antibiotic administration were compared to a non-treated control group (CTR, n = 24). Routes of administration included indirect treatment, through the milk from dams receiving antibiotics by intramuscular administration (ABX_D, n = 24) and direct treatment by intramuscular administration to the kits (ABX_K, n = 24). A tendency for slightly increased weight at termination (Day 205) was observed in the ABX_K group. The gut microbiota composition was profiled by 16S rRNA gene sequencing at eight time points between Day 7 and Day 205. A clear successional development of the gut microbiota composition was observed and both treatment regimens caused detectable changes in the gut microbiota until at least eight days after treatment ceased. At termination, a significant positive correlation was identified between microbial diversity and animal weight.

scholarly journals PSI-10 Establishing a foundation to harvest the potential of the microbiome in poultry production

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 293-294
Author(s):  
Camila S Marcolla ◽  
Benjamin Willing
Keyword(s):  
Microbial Community ◽  
Gut Microbiota ◽  
Community Composition ◽  
Relative Abundance ◽  
Microbial Community Composition ◽  
Alpha Diversity ◽  
Poultry Production ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
The Impact

Abstract This study aimed to characterize poultry microbiota composition in commercial farms using 16S rRNA sequencing. Animals raised in sanitized environments have lower survival rates when facing pathogenic challenges compared to animals naturally exposed to commensal organisms. We hypothesized that intensive rearing practices inadvertently impair chicken exposure to microbes and the establishment of a balanced gut microbiota. We compared gut microbiota composition of broilers (n = 78) and layers (n = 20) from different systems, including commercial intensive farms with and without in-feed antibiotics, organic free-range farms, backyard-raised chickens and chickens in an experimental farm. Microbial community composition of conventionally raised broilers was significantly different from antibiotic-free broilers (P = 0.012), from broilers raised outdoors (P = 0.048) and in an experimental farm (P = 0.006) (Fig1). Significant community composition differences were observed between antibiotic-fed and antibiotic-free chickens (Fig2). Antibiotic-free chickens presented higher alpha-diversity, higher relative abundance of Deferribacteres, Fusobacteria, Bacteroidetes and Actinobacteria, and lower relative abundance of Firmicutes, Clostridiales and Enterobacteriales than antibiotic-fed chickens (P < 0.001) (Fig3). Microbial community composition significantly changed as birds aged. In experimental farm, microbial community composition was significant different for 7, 21 and 35 day old broilers (P < 0.001), and alpha diversity increased from 7 to 21d (P < 0.024), but not from 21 to 35d; whereas, in organic systems, increases in alpha-diversity were observed from 7d to 21d, and from 21d to 35d (P < 0.05). Broilers and layers raised together showed no differences in microbiota composition and alpha diversity (P > 0.8). It is concluded that production practices consistently impact microbial composition, and that antibiotics significantly reduces microbial diversity. We are now exploring the impact of differential colonization in a controlled setting, to determine the impact of the microbes associated with extensively raised chickens. This study will support future research and the development of methods to isolate and introduce beneficial microbes to commercial systems.

Human milk oligosaccharide categories define the microbiota composition in human colostrum

2017 ◽  
Vol 8 (4) ◽  
pp. 563-567 ◽  
Author(s):  
J. Aakko ◽  
H. Kumar ◽  
S. Rautava ◽  
A. Wise ◽  
C. Autran ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Human Milk ◽  
Bifidobacterium Longum ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Human Colostrum ◽  
Human Milk Oligosaccharide ◽  
Positive Correlations ◽  
Microbial Groups ◽  
And Staphylococcus Aureus

Human milk oligosaccharides (HMOs) are structurally diverse unconjugated glycans with a composition unique to each lactating mother. While HMOs have been shown to have an impact on the development of infant gut microbiota, it is not well known if HMOs also already affect milk microbial composition. To address this question, we analysed eleven colostrum samples for HMO content by high-pressure liquid chromatography and microbiota composition by quantitative PCR. Higher total HMO concentration was associated with higher counts of Bifidobacterium spp. (ρ=0.63, P=0.036). A distinctive effect was seen when comparing different HMO groups: positive correlations were observed between sialylated HMOs and Bifidobacterium breve (ρ=0.84, P=0.001), and non-fucosylated/non-sialylated HMOs and Bifidobacterium longum group (ρ=0.65, P=0.030). In addition to associations between HMOs and bifidobacteria, positive correlations were observed between fucosylated HMOs and Akkermansia muciniphila (ρ=0.70, P=0.017), and between fucosylated/sialylated HMOs and Staphylococcus aureus (ρ=0.75, P=0.007). Our results suggest that the characterised HMOs have an effect on specific microbial groups in human milk. Both oligosaccharides and microbes provide a concise inoculum for the compositional development of the infant gut microbiota.

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