The document summarizes the development of intestinal microbiota from infancy to adulthood. It describes how acquisition begins at birth and is influenced by maternal and environmental factors. The infant microbiota develops successively, influenced by factors like breastfeeding, antibiotics, and diet. During the first year, the microbiota plays a pivotal role in immune system maturation. In adulthood, the microbiota is impacted by lifestyle, medications, diet, stress, age, and living situation. Changes in the elderly microbiota can induce inflammation. Location of residence in the elderly is correlated with microbiota composition and health markers.
Moving into the Post-MetagenomicEra of Gut Microbiome ResearchJonathan Clarke
Julian Marchesi's presentation slides from our previous Microbiome R&D and Business Collaboration Forum. For information about this years event please visit http://www.globalengage.co.uk/microbiota.html
Moving into the Post-MetagenomicEra of Gut Microbiome ResearchJonathan Clarke
Julian Marchesi's presentation slides from our previous Microbiome R&D and Business Collaboration Forum. For information about this years event please visit http://www.globalengage.co.uk/microbiota.html
Dr. Tom Burkey - Host-Microbe Interactions: Effects on nutrition and physiologyJohn Blue
Host-Microbe Interactions: Effects on nutrition and physiology - Dr. Tom Burkey, University of Nebraska-Lincoln, from the 2014 Allen D. Leman Swine Conference, September 15-16, 2014, St. Paul, Minnesota, USA.
More presentations at http://www.swinecast.com/2014-leman-swine-conference-material
Gasbarrini A. Microbiota, Antibiotici e Probiotici in Gastroenterologia. ASMa...Gianfranco Tammaro
PROF. ANTONIO GASBARRINI - 3° Giornata Master ECM in Gastroenterologia 2016 (25/11/2016) - Fondazione Santa Lucia - Sala Congressi - Roma
Sito: www.asmad.net
Canale Youtube: https://youtu.be/ouYcXg_ZtJM
Ankylosing Spondylitis the gut and the bugs: an integrative approach to treat...IFSMED
Rheumatologist Dr. Alex Shikhman makes the connection between ankylosing spondylitis and the gut. Offering natural dietary supplements to help manage many of the side effects associated with the disease
Scientific Validation Of Polydextrose As A Fibre AndGeoffreyOsullivan
Presents an overview of the scientific evidence and methods used to prove polydextrose is a safe and effective soluble prebiotic fibre with high toleration
Renée Wilson, Registered Dietitian and PhD Candidate at University of Otago, New Zealand. Presented at the 1st International Symposium on Kiwifruit and Health: http://www.kiwifruitsymposium.org/presentations/diet-microbiota-and-metabolic-health/
This cross-sectional pilot study aims to determine whether or not there are any differences between the gut microbiota of people with normal glucose tolerance, pre-diabetes and type 2 diabetes.
Dr. Tom Burkey - Host-Microbe Interactions: Effects on nutrition and physiologyJohn Blue
Host-Microbe Interactions: Effects on nutrition and physiology - Dr. Tom Burkey, University of Nebraska-Lincoln, from the 2014 Allen D. Leman Swine Conference, September 15-16, 2014, St. Paul, Minnesota, USA.
More presentations at http://www.swinecast.com/2014-leman-swine-conference-material
Gasbarrini A. Microbiota, Antibiotici e Probiotici in Gastroenterologia. ASMa...Gianfranco Tammaro
PROF. ANTONIO GASBARRINI - 3° Giornata Master ECM in Gastroenterologia 2016 (25/11/2016) - Fondazione Santa Lucia - Sala Congressi - Roma
Sito: www.asmad.net
Canale Youtube: https://youtu.be/ouYcXg_ZtJM
Ankylosing Spondylitis the gut and the bugs: an integrative approach to treat...IFSMED
Rheumatologist Dr. Alex Shikhman makes the connection between ankylosing spondylitis and the gut. Offering natural dietary supplements to help manage many of the side effects associated with the disease
Scientific Validation Of Polydextrose As A Fibre AndGeoffreyOsullivan
Presents an overview of the scientific evidence and methods used to prove polydextrose is a safe and effective soluble prebiotic fibre with high toleration
Renée Wilson, Registered Dietitian and PhD Candidate at University of Otago, New Zealand. Presented at the 1st International Symposium on Kiwifruit and Health: http://www.kiwifruitsymposium.org/presentations/diet-microbiota-and-metabolic-health/
This cross-sectional pilot study aims to determine whether or not there are any differences between the gut microbiota of people with normal glucose tolerance, pre-diabetes and type 2 diabetes.
Quantifying Your Dynamic Human Body (Including Its Microbiome), Will Move Us ...Larry Smarr
Invited Presentation Microbiology and the Microbiome and the Implications for Human Health Analytic, Life Science & Diagnostic Association (ALDA) 2016 Senior Management Conference
Half Moon Bay, CA
October 3, 2016
Ecological Disturbance of the Human Gut MicrobiomeAnne M. Estes
Set of slides discussing the importance of microbes for human health. Made to accompany the hands-on activity "Modeling the Dynamic Digestive System Microbiome" published: http://www.asmscience.org/content/journal/jmbe/10.1128/jmbe.v16i2.908
Human nutrition, gut microbiome and immune system S'eclairer
Dr Zahida Chaudnary talks with the students about nutrition, gut microbiomes, and nutrition as we look at diseases and how your body reacts to what you eat.
Check out the slideshow by itself here.
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A review report on detailed study of research endeavours, undertaken on Human Microbiome, its composition, its implications, applications, disease and other role.
Human Microbiome is the current project in Research field. The importance of Microorganisms in the human body, the importance and novel roe of the microorganisms on a human body is very effective and helpful. Fecal Transplantation is a unique and helpful technique to cure a dreadful disease naturally by means of microorganisms or introducing the normal flora in to the body again.
Recent top papers in pediatric infectious diseases: pediatric infections - Sl...WAidid
Slideset on:
- Zika virus and fetal/neonatal microcephaly
- Microbiota, infections and immune response to vaccines
- Antibiotic use and weight gain in childhood
The Pregnancy Microbiome: The Link Between Maternal Periodontitis and Adverse...Crimsonpublishers-IGRWH
The Pregnancy Microbiome: The Link Between Maternal Periodontitis and Adverse Pregnancy Outcomes: Opinion by Irosha Rukmali Perera in Gynecology journal
Probiotics goes beyond digestive and immune health. At the recent Microbiome R&D and Business Collaboration Congress: Asia, DuPont Nutrition & Health shared on how probiotics can influence vaginal microbiota and provide positive health benefits such as weight management for the user.
Composition and Variation of the Human Milk Microbiota Are Influenced by Mate...Ciencia Tecnología
Breastmilk contains a complex community of bacteria that may help seed the infant gut microbiota. The composition and determinants of milk microbiota are poorly understood. Among 393 mother-infant dyads from the CHILD cohort, we found that milk microbiota at 3–4 months postpartum was dominated by inversely correlated Proteobacteria and Firmicutes, and exhibited discrete compositional patterns. Milk microbiota composition and diversity were associated with maternal factors (BMI, parity, and mode of delivery), breastfeeding practices, and other milk components in a sex-specific manner. Causal modeling identified mode of breastfeeding as a key determinant of milk microbiota composition. Specifically, providing pumped breastmilk was consistently associated with multiple microbiota parameters including enrichment of potential pathogens and depletion of bifidobacteria. Further, these data support the retrograde inoculation hypothesis, whereby the infant oral cavity impacts the milk microbiota. Collectively, these results identify features and determinants of human milk microbiota composition, with potential implications for infant health and development.
As a newly emphasized modality to treat infectious complications and also to folloew non-antibiotic regimens against infection, Probiotics has recieved more and more attention now a days.
1. Intestinal Microbiota During LifeIntestinal Microbiota During Life
Patricia ConwayPatricia Conway
The University of New South WalesThe University of New South Wales
Sydney, AustraliaSydney, Australia
2. OverviewOverview
Acquisition in the newbornAcquisition in the newborn
Factors affecting the infant microbiotaFactors affecting the infant microbiota
Describe the successive developmentDescribe the successive development
Factors affecting the adult microbiotaFactors affecting the adult microbiota
4. Cabrera-Rubio et al , 2012
Bacterial taxonomic composition of human breast milk
Bacterial families (left) and genera (right) pyrosequencing of the 16S rRNA.
Col 1 month 6 months
Vagina Non-elective Elective
Colostrum Breast milk
Vagina Non-elective Elective
(NW= normal weight; OW=overweight)
5. Ward et al, 2013
The percent of sequences assigned to each phyla according to MG-RAST (maximum e-value of
1x10-5, minimum identity of 60%, and minimum alignment length of 45 bp)
Best hit comparison of bacterial phyla in human milk,
infants’ feces and mothers’ feces.
6. Utilization of human milk oligosaccharides by bifidobacteria
B. longum subsp infantis: Infant strain
Others: Adult strains
Sela & Mills, 2010
7. Bifidobacteria in breast milk: link withBifidobacteria in breast milk: link with
allergy/atopy of the mothersallergy/atopy of the mothers
(Groenlund et al. Clinical & Exp Allergy 2007; 37: 1764 – 1772)et al. Clinical & Exp Allergy 2007; 37: 1764 – 1772)
Maternal breastmilk Bifi countsMaternal breastmilk Bifi counts
impacted the infants fecal Bifiimpacted the infants fecal Bifi
levelslevels
(p = 0.013)(p = 0.013)
Breastmilk bacteria: anBreastmilk bacteria: an
important source of bacteria inimportant source of bacteria in
the establishment of infantilethe establishment of infantile
intestinal microbiotaintestinal microbiota
Allergic mothers (atopic or non-atopic)Allergic mothers (atopic or non-atopic)
have significantly fewer bifidobacteriahave significantly fewer bifidobacteria
in breastmilkin breastmilk
8. OverviewOverview
Acquisition in the newbornAcquisition in the newborn
Factors affecting the infant microbiotaFactors affecting the infant microbiota
Describe the successive developmentDescribe the successive development
Factors affecting the adult microbiotaFactors affecting the adult microbiota
12. Figure 3. Changes in proportion of bacterial phyla.Figure 3. Changes in proportion of bacterial phyla.
Mai V, Young CM, Ukhanova M, Wang X, et al. (2011) Fecal Microbiota in Premature Infants Prior to Necrotizing Enterocolitis.
PLoS ONE 6(6): e20647. doi:10.1371/journal.pone.0020647
http://www.plosone.org/article/info:doi/10.1371/journal.pone.0020647
Fecal microbiota in preterms prior to NEC
16. Window of sensitivityWindow of sensitivity
around 4-6 months of agearound 4-6 months of age
Gut microbiota pivotal
role in maturation of
immune system
17. Infants of 6 to 11 months old are moreInfants of 6 to 11 months old are more
prone to diarrhea than older childrenprone to diarrhea than older children
(Kosek, WHO Bulletin, 2003)
18.
19. Microbiota and the emerging pandemic of NCDs
(Non-Communicable Diseases)
NCDs:
Allergy, obesity, diabetes, cardiovascular disease,
mental health and auto-immune diseases
Life style choices
Health
NCDs
20. OverviewOverview
Acquisition in the newbornAcquisition in the newborn
Factors affecting the infant microbiotaFactors affecting the infant microbiota
Describe the successive developmentDescribe the successive development
Factors affecting the adult microbiotaFactors affecting the adult microbiota
21. The function of our microbiota: who is out there and what do they do?
Ottman et al (2012) Front. Cell. Infect. Microbiol (doi: 10.3389/fcimb.2012.00104)
22.
23. Mariat et al, 2009
Change in major bacteria groups in the elderly
- Can induce an inflammatory response
Magrone and Jirillo, 2013
24. OverviewOverview
Acquisition in the newbornAcquisition in the newborn
Factors affecting the infant microbiotaFactors affecting the infant microbiota
Describe the successive developmentDescribe the successive development
Factors affecting the adult microbiotaFactors affecting the adult microbiota
25. Factors Impacting on
Adult Gut Microbiota
• Life style choices
• Medications
• Diet
• Stressors
• Age
• Institution care or home living
• Dental health
• Infection
• Hygiene
• Sanitization
• Urban/rural
27. Phylum/order-like phylogroups to the microbiota of varying agesPhylum/order-like phylogroups to the microbiota of varying ages
Biagi E, Nylund L, Candela M, Ostan R, et al. (2010) Through Ageing, and Beyond: Gut Microbiota and Inflammatory Status in
Seniors and Centenarians. PLoS ONE 5(5): e10667. doi:10.1371/journal.pone.0010667
C = centenarians
E = elderly
Y = young adults
28. Microbiota composition and plasma levels of pro-inflammatoryMicrobiota composition and plasma levels of pro-inflammatory
cytokinescytokines..
Biagi E, Nylund L, Candela M, Ostan R, et al. (2010) Through Ageing, and Beyond: Gut Microbiota and Inflammatory Status in
Seniors and Centenarians. PLoS ONE 5(5): e10667. doi:10.1371/journal.pone.0010667
http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010667
Green = centenarians (C)
Blue = elderly/senior (S)
Yellow = young (Y)
29. MJ Claesson et al. Nature (2012), 1-7
Microbiota analysis separates elderly subjects
based upon where they live in the community.
Green = community; Yellow = day hospital; orange = rehabilitation
red = long stay care; purple = young healthy controls.
30. MJ Claesson et al. Nature (2012) (doi:10.1038/nature11319)
Transition in microbiota composition across residence
location is mirrored by changes in health indices.
Clustered according to residence location
Composition correlates with:
- frailty
- nutrition
- markers of inflammation
- metabolism
16S rRNA gene surveys reveal a clear separation of two children populations investigated. (A and B) Pie charts of median values of bacterial genera present in fecal samples of BF and EU children (>3%) found by RDP classifier v. 2.1. Rings represent corresponding phylum (Bacteroidetes in green and Firmicutes in red) for each of the most frequently represented genera. (C) Dendrogram obtained with complete linkage hierarchical clustering of the samples from BF and EU populations based on their genera. The subcluster located in the middle of the tree contains samples taken from the three youngest (1–2 y old) children of the BF group (16BF, 3BF, and 4BF) and two 1-y-old children of the EU group (2EU and 3EU). (D) Relative abundances (percentage of sequences) of the four most abundant bacterial phyla in each individual among the BF and EU children. Blue area in middle shows abundance of Actinobacteria, mainly represented by Bifidobacterium genus, in the five youngest EU and BF children. (E) Relative abundance (percentage of sequences) of Gram-negative and Gram-positive bacteria in each individual. Different distributions of Gram-negative and Gram-positive in the BF and EU populations reflect differences in the two most represented phyla, Bacteroidetes and Firmicutes.
Human microbial diversity and enterotypes. Enterotypes31 were
determined when evaluating only adults from the United States and Europe
(circled in white). By including children from the United States and children
and adults from developing countries, the picture of human-associated
microbiota diversity greatly expands. The relationship between the microbiota
of 531 healthy children and adults from Malawi, Amazonas state of Venezuela
(Amerindians) and the United States was evaluated using sequences from
the 16S rRNA gene in faecal samples and a principle coordinate analysis
of unweighted UniFrac distances (adapted with permission from ref. 4). a,
Infants differentiate strongly from adults, and b, adults from the United States
have a distinct composition from those of Malawi and Venezuela, indicating
the diversity differences are mainly owing to age and culture.
Correlation between microbiota composition and plasma levels of pro-inflammatory cytokines. In the RDA blood cytokine
levels (red arrows) and age groups (C, S, and Y, red triangles) are used as linear and nominal environmental variables, respectively. Samples belonging
to C, S and Y groups are indicated by green circles, blue squares and yellow diamonds, respectively. Responding bacterial subgroups that explained
more than 20% of the variability of the samples are indicated by black arrows. First and second ordination axes are plotted, showing 5.8% and 3.1% of
the variability in the dataset, respectively. Red arrows which are not labelled corresponds to (clockwise, starting from the left) TNF-a, IFN-c, IL-2, IL-1a,
IL-12p70, and IL-1b. Log transformed data were used for this analysis. Bottom-left, P value obtained by MCPP is reported. Top-left, average blood
levels of IL-6 and IL-8 in groups C, S and Y are reported.
Microbiota analysis separates elderly subjects based upon where
they live in the community. a, Unweighted and b, weighted UniFrac PCoA of
faecal microbiota from 191 subjects. Subject colour coding: green, community;
yellow, day hospital; orange, rehabilitation; red, long-stay; and purple, young
healthy control subjects. c, Hierarchical Ward-linkage clustering based on the
Spearman correlation coefficients of the proportion of OTUs, filtered for OTU
subject prevalence of at least 20%. Subjects colour coding as in a. Labelled
clusters in top of panel c (basis for the eight groups in Fig. 4) are highlighted by
black squares. OTUs are clustered by the vertical tree, colour-coded by family
assignments. Bacteroidetes phylum, blue gradient; Firmicutes, red;
Proteobacteria, green; and Actinobacteria, yellow. Only 774 OTUs confidently
classified to family level are visualized. The bottom panel shows relative
abundance of family-classified microbiota.
Transition in microbiota composition across residence location is
mirrored by changes in health indices. The PCoA plots show 8 groups of
subjects defined by unweighted UniFrac microbiota analysis of community
subjects (left), the whole cohort (centre), and long-stay subjects (right). The
main circle shows the Wiggum plots corresponding to the 8 groups from
whole-cohort analysis, in which disc sizes indicate genus over-abundance
relative to background. The pie charts show residence location proportions
(colour coded as in Fig. 1c) and number of subjects per subject group. Curved
arrows indicate transition from health (green) to frailty (red). FIM, functional
independence measure; MNA, mini nutritional assessment; GDT, geriatric
depression test; CC, calf circumference; CRP, C-reactive protein; IL,
interleukin; BP, blood pressure; MMSE, mini-mental state examination.