Project description:BackgroundSerious invasive infections in newborns are a major cause of death. Lack of data on etiological causes hampers progress towards reduction of mortality. This study aimed to identify pathogens responsible for such infections in young infants in sub-Saharan Africa and to describe their antibiotics resistance profile.MethodsBetween September 2016 and April 2018 we implemented an observational study in two rural sites in Burkina Faso and Tanzania enrolling young infants aged 0-59 days old with serious invasive infection. Blood samples underwent blood culture and molecular biology.ResultsIn total 634 infants with clinical diagnosis of serious invasive infection were enrolled and 4.2% of the infants had a positive blood culture. The most frequent pathogens identified by blood culture were Klebsiella pneumonia and Staphylococcus aureus, followed by Escherichia coli. Gram-negative isolates were only partially susceptible to first line WHO recommended treatment for neonatal sepsis at community level. A total of 18.6% of the infants were PCR positive for at least one pathogen and Escherichia coli and Staphylococcus aureus were the most common bacteria detected. Among infants enrolled, 60/634 (9.5%) died. Positive blood culture but not positive PCR was associated with risk of death. For most deaths, no pathogen was identified either by blood culture or molecular testing, and hence a causal agent remained unclear. Mortality was associated with low body temperature, tachycardia, respiratory symptoms, convulsions, history of difficult feeding, movement only when stimulated or reduced level of consciousness, diarrhea and/or vomiting.ConclusionWhile Klebsiella pneumonia and Staphylococcus aureus, as well as Escherichia coli were pathogens most frequently identified in infants with clinical suspicion of serious invasive infections, most cases remain without definite diagnosis, making more accurate diagnostic tools urgently needed. Antibiotics resistance to first line antibiotics is an increasing challenge even in rural Africa.

Project description:Sub-Saharan Africa represents 69% of the total number of individuals living with HIV infection worldwide and 72% of AIDS deaths globally. Pulmonary infection is a common and frequently fatal complication, though little is known regarding the lower airway microbiome composition of this population. Our objectives were to characterize the lower airway microbiome of Ugandan HIV-infected patients with pneumonia, to determine relationships with demographic, clinical, immunological, and microbiological variables and to compare the composition and predicted metagenome of these communities to a comparable cohort of patients in the US (San Francisco). Bronchoalveolar lavage samples from a cohort of 60 Ugandan HIV-infected patients with acute pneumonia were collected. Amplified 16S ribosomal RNA was profiled and aforementioned relationships examined. Ugandan airway microbiome composition and predicted metagenomic function were compared to US HIV-infected pneumonia patients. Among the most common bacterial pulmonary pathogens, Pseudomonas aeruginosa was most prevalent in the Ugandan cohort. Patients with a richer and more diverse airway microbiome exhibited lower bacterial burden, enrichment of members of the Lachnospiraceae and sulfur-reducing bacteria and reduced expression of TNF-alpha and matrix metalloproteinase-9. Compared to San Franciscan patients, Ugandan airway microbiome were significantly richer, and compositionally distinct with predicted metagenomes that encoded a multitude of distinct pathogenic pathways e.g secretion systems. Ugandan pneumonia-associated airway microbiome is compositionally and functionally distinct from those detected in comparable patients in developed countries, a feature which may contribute to adverse outcomes in this population. Please note that the data from the comparable cohort of patients in the USUS data was published as supplemental material of PMID: 22760045 but not submitted to GEO The 'patient_info.txt' contains 12 clinical, 7 immunological and 3 microbiological variables for each patient.

Project description:Sub-Saharan Africa represents 69% of the total number of individuals living with HIV infection worldwide and 72% of AIDS deaths globally. Pulmonary infection is a common and frequently fatal complication, though little is known regarding the lower airway microbiome composition of this population. Our objectives were to characterize the lower airway microbiome of Ugandan HIV-infected patients with pneumonia, to determine relationships with demographic, clinical, immunological, and microbiological variables and to compare the composition and predicted metagenome of these communities to a comparable cohort of patients in the US (San Francisco). Bronchoalveolar lavage samples from a cohort of 60 Ugandan HIV-infected patients with acute pneumonia were collected. Amplified 16S ribosomal RNA was profiled and aforementioned relationships examined. Ugandan airway microbiome composition and predicted metagenomic function were compared to US HIV-infected pneumonia patients. Among the most common bacterial pulmonary pathogens, Pseudomonas aeruginosa was most prevalent in the Ugandan cohort. Patients with a richer and more diverse airway microbiome exhibited lower bacterial burden, enrichment of members of the Lachnospiraceae and sulfur-reducing bacteria and reduced expression of TNF-alpha and matrix metalloproteinase-9. Compared to San Franciscan patients, Ugandan airway microbiome were significantly richer, and compositionally distinct with predicted metagenomes that encoded a multitude of distinct pathogenic pathways e.g secretion systems. Ugandan pneumonia-associated airway microbiome is compositionally and functionally distinct from those detected in comparable patients in developed countries, a feature which may contribute to adverse outcomes in this population. Please note that the data from the comparable cohort of patients in the USUS data was published as supplemental material of PMID: 22760045 but not submitted to GEO The 'patient_info.txt' contains 12 clinical, 7 immunological and 3 microbiological variables for each patient. The G2 PhyloChip microarray platform (commercially available from Second Genome, Inc.) was used to profile bacteria in lower airway samples from 60 subjects

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Characterizing human mobility patterns in rural settings of sub-Saharan Africa.

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Characterizing human mobility patterns in rural settings of sub-Saharan Africa.

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