| Literature DB >> 26031687 |
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Abstract
Year: 2015 PMID: 26031687 PMCID: PMC4451120 DOI: 10.3402/mehd.v26.28480
Source DB: PubMed Journal: Microb Ecol Health Dis ISSN: 0891-060X
Fig. 1Proportion of children stunted during the first two years at MAL-ED sites. Each child was measured every month for the first two years. Green – proportion of children not stunted (>−2 LAZ), Orange – proportion of children stunted (<−2, >−3 LAZ), Blue – proportion of children severely stunted (<−3 LAZ) at seven MAL-ED sites. Data pertaining to Pakistan are not available.
Fig. 2The number of births occurring at home and at a medical facility in each of the MAL-ED sites.
Fig. 3Decrease in exclusive breastfeeding at MAL-ED Sites. Survival curves of exclusive breastfeeding are shown for each of the MAL-ED sites. Exclusive breastfeeding is defined as only having received colostrum and breast milk until such time as other liquids such as water, tea, solids are given.
Anemia and zinc deficiencies at 7, 15, and 24 months at MAL-ED sites
| Anemic | Zinc deficient | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| Number tested, % deficient | Number tested, % deficient | |||||||||||
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| 7 | 15 | 24 | 7 | 15 | 24 | |||||||
| BGD | 202 | 49% | 196 | 42% | 175 | 27% | 206 | 24% | 195 | 19% | 175 | 3% |
| PKN | 261 | 72% | 239 | 88% | 223 | 83% | 252 | 79% | 238 | 69% | 174 | 60% |
| INV | 206 | 58% | 228 | 56% | 226 | 43% | 221 | 51% | 227 | 73% | 224 | 88% |
| NEB | 226 | 69% | 220 | 50% | 120 | 29% | 221 | 33% | 218 | 13% | 118 | 23% |
| BRF | 166 | 44% | 150 | 40% | 134 | 25% | 147 | 4% | 139 | 4% | 81 | 2% |
| PEL | 261 | 65% | 227 | 51% | 133 | 28% | 233 | 2% | 211 | 4% | 104 | 0% |
| SAV | 202 | 47% | 227 | 53% | 191 | 42% | 30 | 7% | 87 | 1% | 44 | 7% |
| TZH | 184 | 42% | 197 | 40% | 185 | 25% | 132 | 29% | 157 | 30% | 150 | 27% |
Hb<110 g/L.
Zn<9.9 mmol/L.
Fig. 4(a) Proportion of cohort children at each MAL-ED site that have been infected with at least one enteric pathogen. (b) Proportion of cohort children at each MAL-ED site that has experienced at least one diarrhea episode.
Top five pathogens detected in non-diarrheal stools for one-month-old children in MAL-ED
| Sample | 1st pathogen | 2nd pathogen | 3rd pathogen | 4th pathogen | 5th pathogen | |
|---|---|---|---|---|---|---|
| size | (%) | (%) | (%) | (%) | (%) | |
| BCD | 241 | EAEC | Campylobacter | Cryptosporidium | ETEC | Astrovirus |
| (11.6) | (8.3) | (5.8) | (2.9) | (2.5) | ||
| PKN | 185 | EAEC | Campylobacter | Aeromonas | ETEC | Cryptosporidium |
| (37.3) | (17.3) | (6.5) | (5.9) | (4.3) | ||
| INV | 162 | EAEC | Campylobacter | EPEC | Astrovirus | Rotavirus |
| (17.3) | (3.7) | (1.9) | (1.2) | (1.2) | ||
| NEB | 183 | EAEC | Campylobacter | Astrovirus | Cryptosporidium | Atypical EPEC |
| (17.5) | (7.7) | (4.9) | (4.9) | (2.2) | ||
| BRF | 94 | EAEC | Cryptosporidium | EIEC | ETEC | Atypical EPEC |
| (27.7) | (12.8) | (9.6) | (7.4) | (6.4) | ||
| PEL | 250 | EAEC | Campylobacter | Cryptosporidium | ETEC | E. Histolytica |
| (8.4) | (7.6) | (6.0) | (3.2) | (2.4) | ||
| SAV | 214 | EAEC | Campylobacter | ETEC | Atypical EPEC | Rotavirus |
| (9.8) | (8.9) | (1.9) | (1.4) | (0.9) | ||
| TZH | 239 | EAEC | Cryptosporidium | Campylobacter | ETEC | Astrovirus |
| (26.8) | (8.4) | (6.7) | (3.8) | (2.9) |
Monthly, non-diarrheal stool is defined as a stool collected after 2 diarrhea-free days and preceding 2 diarrhea-free days. Only the first monthly stool is considered.
Table represents complete data only. All microbiology tests must have been performed for each sample to be included in the table.
Fig. 5Percent of normal stool samples containing at least one enteric pathogen. Normal stool samples were collected monthly and assayed for all enteric pathogens including bacteria, viruses, and parasites studied in MAL-ED. In the case of norovirus a subset of 10% of subjects were randomly selected from each site to have their normal stool samples assayed. The results for each site are shown as different colors indicated in the legend at the right of the figure.
Fig. 6(a) Percentage of days during the first two years of life that cohort children at each MAL-ED site received or did not receive antibiotics. (b) Treatment of diarrhea episodes with antibiotics at each MAL-ED site. Gray bars represent the percent of diarrhea episodes for which antibiotics were given. Black hash marks indicate the average number of antibiotics given.
Fig. 1Behavioral videos of propionic acid infusions in rats (click headings to view videos). Single intracerebroventricular (ICV) infusions (4 µl of 0.26 M solution over 4 min) of propionic acid (PPA), a metabolic end product of autism-associated enteric bacteria, produce bouts of reversible hyperactive and repetitive behavior (A) in adult rats, compared with phosphate-buffered saline (PBS) vehicle infused control rat (B). Rat pairs infused with PPA show markedly reduced social interaction and play behavior (C), compared with pairs of rats infused with PBS vehicle (D), which show typical social behavior. Ethovision behavioral tracking of control and PPA-treated rat pairs (E), showing further evidence of PPA-induced hyperactive, repetitive, and antisocial behavior. PPA-treated rat displays fixation on objects (F) and specific object preferences (i.e. block vs. sphere). PPA-infused rats also show turning, tics, dystonia, and retropulsion and electrographic evidence of complex partial seizures and basal ganglia spiking, consistent with findings in patients with autism spectrum disorders. With permission from MacFabe (6).
Fig. 2Neuropathology (avidin–biotin complex immunohistochemistry) and semiquantitative image densitometry of coronal brain sections of dorsal hippocampus (CA2) and external capsule of adult rats with 14-day BID ICV infusions of propionic acid (PPA) or phosphate-buffered saline (PBS). PPA-induced significant reactive astrogliosis (anti-GFAP) and microglial activation (anti-CD68), without apoptotic neuronal cell loss (anti-cleaved caspase 3) in rat hippocampus, similar to finding in autopsy brain from patients with autism. Nuclear translocation of anti-CREB and an increase of anti phosphoCREB immunoreactivity are observed in neural, glial, and endovascular epithelium by PPA treatment, suggestive of gene induction. PPA increases monocarboxylate transporter 1 immunoreactivity, primarily in white matter external capsule, suggestive of alterations in brain short-chain fatty acid transport/metabolism. Black bars indicate PPA-treated animals; white bars indicate PBS (vehicle)-treated animals. Horizontal measurement bar = 100 µ. With permission from MacFabe (6).
Fig. 3Effects of the enteric bacterial metabolite propionic acid (PPA) on the tricarboxylic acid cycle during (A) typical metabolism and (B) with high levels of PPA. PPA is metabolized to propionyl-CoA, which inhibits the proximal portion of the tricarboxylic acid cycle and enhances the distal portion of the tricarboxylic acid cycle. Effects of PPA on the citric acid cycle in the PPA rodent model of autism are consistent with those found in a subset of patients with ASD, along with further abnormalities in mitochondrial redox function, phospholipid, and acylcarnitine profiles. FADH2, flavin adenine dinucleotide; NADH, nicotinamide adenine dinucleotide. With permission from Ref. (74).
Potential causes and consequences of increased enteric short-chain fatty acid production and/or decreased breakdown and their relation to autism spectrum disorder.
| Causes | Consequences of SCFAs |
|---|---|
| Long term antibiotics for routine infections (maternal/infant) Treatment of maternal β hemolytic strep | Gut dysmotility/inflammation/carbohydrate malabsorbtion/altered gut permeability (tight junction impairment) |
| Hospitalisation (colonization of nosocomial bacteria) i.e. C-section, neonatal distress | Active uptake of SCFA to CNS (monocarboxylate transporters) |
| Prenatal drugs (valproate, ethanol) | pH dependent intracellular concentration of SCFAs |
| Opportunistic infection ( | Neurotransmitter synthesis and release (catecholamines, enkephalins) CNS/sympathetic nervous system |
| Maternal/infant gut dysbiosis | Receptor activity (+NMDA, -GABA) SCFA G protein coupled receptors/Ca++ infiux |
| Organic acidemias (propionic/methymalonic, biotinidase/ holocarboxylase deficiency) | Gap junction closure, altered neurodevelopment, neuroinflammation |
| (B12/biotin deficiency) | Impaired mitochondrial function/increased oxidative stress |
| Genetic/acquired impaired carnitine synthesis/ absorption(TMLHE/OCTN2 genes, β | Reduced glutathione/increased sensitivity to xenobiotics (i.e. acetaminophen) |
| Mitochondrial disorder/dysfunction (inherited, acquired) | Decreased carnitine/altered lipid metabolism/membrane fiuidity |
| Colitis (impaired barrier/SCFA metabolism), i.e. celiac disease. Met-receptor tyrosine kinase mutation | Altered gene expression (CREB activation, histone deacetylase inhibition) |
| Increased refined carbohydrate consumption - substrate for bacterial fermentation | Antisocial/perseverative/anxiety-like behavior, seizure/movement disorder, Restrictive food interests/carbohydrate craving |
These findings, which are not mutually exclusive, may contribute to the pathophysiology, behavioral symptoms, and comorbidities of autism. With permission from MacFabe (6).
Fig. 4Broad physiological effects of enteric short-chain fatty acids on host physiology and brain function and behavior. These effects which are dose, tissue and temporally specific may be physiologically adaptive (immune/cellular energy regulation, food seeking, learning and memory, intra species social interaction), but may be pathological with increased production, decreased breakdown or increased early exposure of these bacterial metabolites during key periods of neurodevelopment.
Routes of administration of Fecal Microbiota Transplantation (FMT) as reported in 66 published scientific articles between 1958 and December 31, 2014
| Feces administration route | Cases | Success | % |
|---|---|---|---|
| Enema/colonoscopy | 691 | 667 | 96 |
| NGT/NDT/gastroscope | 292 | 234 | 80 |
| Mixed route: upper GI tract/colonoscopy | 162 | 143 | 88 |
| Oral capsules | 20 | 14 | 70 |
| Total | 1,212 | 1,061 | 88 |
Mixed route refers to multiple published case series where the fecal sample was administered either via the upper or the lower gastrointestinal tract.
MAL-ED Investigators and Institutional Affiliations
| Maribel Paredes Olotegui | Monica McGrath | Laura Pendergast |
| Cesar Banda Chavez | Mark Miller | |
| Dixner Rengifo Trigoso | Archana Mohale | Cláudia Abreu |
| Julian Torres Flores | Gaurvika Nayyar | Alexandre Havt |
| Angel Orbe Vasquez | Stephanie Psaki | Hilda Costa |
| Silvia Rengifo Pinedo | Zeba Rasmussen | Alessandra Di Moura |
| Angel Mendez Acosta | Stephanie A. Richard | Jose Quirino Filho |
| Jessica C. Seidman | Álvaro Leite | |
| Imran Ahmed | Vivian Wang | Aldo Lima |
| Didar Alam | Noélia Lima | |
| Asad Ali | Rebecca Blank | Ila Lima |
| Zulfiqar A. Bhutta | Michael Gottlieb | Bruna Maciel |
| Shahida Qureshi | Karen H. Tountas | Milena Moraes |
| Muneera Rasheed | Francisco Mota | |
| Sajid Soofi | Caroline Amour | Reinaldo Oriá |
| Ali Turab | Estomih Mduma | Josiane Quetz |
| Aisha K. Yousafzai | Buliga Mujaga Swema | Alberto Soares |
| Anita K.M. Zaidi | Ladislaus Yarrot | |
| Rosemary Nshama | Erling Svensen | |
| Ladaporn Bodhidatta | Tor Strand | |
| Carl J. Mason | Tahmeed Ahmed | |
| A.M. Shamsir Ahmed | Crystal L. Patil | |
| Sudhir Babji | Fahmida Tofail | |
| Anuradha Bose | Rashidul Haque | Pascal Bessong |
| Sushil John | Iqbal Hossain | Cloupas Mahopo |
| Gagandeep Kang | Munirul Islam | Angelina Mapula |
| Beena Kurien | Mustafa Mahfuz | Cebisa Nesamvuni |
| Jayaprakash Muliyil | Dinesh Mondal | Emanuel Nyathi |
| Mohan Venkata Raghava | Amidou Samie | |
| Anup Ramachandran | Ram Krishna Chandyo | |
| Anuradha Rose | Prakash Sunder Shrestha | Leah Barrett |
| Rita Shrestha | Jean Gratz | |
| William Pan | Manjeswori Ulak | Richard Guerrant |
| Eric Houpt | ||
| Ramya Ambikapathi | Robert Black | William Petri |
| Danny Carreon | Laura Caulfield | Rebecca Scharf |
| Vivek Charu | William Checkley | James Platts-Mills |
| Leyfou Dabo | Ping Chen | |
| Viyada Doan | Margaret Kosek | Binob Shrestha |
| Jhanelle Graham | Gwenyth Lee | Sanjaya Kumar Shrestha |
| Christel Hoest | Pablo Peñataro Yori | |
| Stacey Knobler | ||
| Dennis Lang | Laura E. Murray-Kolb | |
| Benjamin McCormick | Barbara Schaefer |
A.B. PRISMA, Iquitos, Peru
Aga Khan University, Naushahro Feroze, Pakistan
Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
Christian Medical College, Vellore, India
Duke University, Durham, NC, USA
Fogarty International Center/National Institutes of Health, Bethesda, MD, USA
Foundation for the NIH, Bethesda, MD, USA
Haydom Lutheran Hospital, Haydom, Tanzania
icddr,b, Dhaka, Bangladesh
Institute of Medicine, Tribhuvan University, Kathmandu, Nepal
Johns Hopkins University, Baltimore, MD, USA
The Pennsylvania State University, University Park, PA, USA
Temple University, Philadelphia, PA, USA
Universidade Federal do Ceara, Fortaleza, Brazil
University of Bergen, Norway
University of Illinois at Chicago, IL, USA
University of Venda, Thohoyandou, South Africa
University of Virginia, Charlottesville, VA, USA
Walter Reed/AFRIMS Research Unit, Kathmandu, Nepal