ArticleBMC microbiology2023
Oral microbiome homogeneity across diverse human groups from southern Africa: first results from southwestern Angola and Zimbabwe.
Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Tobacco-Induced Oral Dysbiosis and Microbial Shifts: A Narrative Review of Their Role in Systemic Inflammation and Disease.Microorganisms · 2026Review
- Characterization of the oral microbiome in the diverse South African population by PacBio HiFi sequencing.Applied microbiology and biotechnology · 2026Article
- Oral health and behavioral problems in children living with and without HIV in South Africa.AIDS care · 2025Article
- Spatiotemporal dynamics of the oropharyngeal microbiome in a cohort of Ivorian school children.Scientific reports · 2024Article
- Nepali oral microbiomes reflect a gradient of lifestyles from traditional to industrialized.Microbiome · 2024Article
- Ectopic colonization by oral bacteria as an emerging theme in health and disease.FEMS microbiology reviews · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhile the human oral microbiome is known to play an important role in systemic health, its average composition and diversity patterns are still poorly understood. To gain better insights into the general composition of the microbiome on a global scale, the characterization of microbiomes from a broad range of populations, including non-industrialized societies, is needed. Here, we used the portion of non-human reads obtained through an expanded exome capture sequencing approach to characterize the saliva microbiomes of 52 individuals from eight ethnolinguistically diverse southern African populations from Angola (Kuvale, Kwepe, Himba, Tjimba, Kwisi, Twa, !Xun) and Zimbabwe (Tshwa), including foragers, food-producers, and peripatetic groups (low-status communities who provide services to their dominant neighbors).
resultsOur results indicate that neither host genetics nor livelihood seem to influence the oral microbiome profile, with Neisseria, Streptococcus, Prevotella, Rothia, and Porphyromonas being the five most frequent genera in southern African groups, in line with what has been shown for other human populations. However, we found that some Tshwa and Twa individuals display an enrichment of pathogenic genera from the Enterobacteriaceae family (i.e. Enterobacter, Citrobacter, Salmonella) of the Proteobacteria phylum, probably reflecting deficient sanitation and poor health conditions associated with social marginalization.
conclusionsTaken together, our results suggest that socio-economic status, rather than ethnolinguistic affiliation or subsistence mode, is a key factor in shaping the salivary microbial profiles of human populations in southern Africa.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.