A community-driven genomic investigation of Helicobacter pylori isolates from Indigenous communities in the Arctic of Canada.
Bibliographic record
Abstract
Helicobacter pylori is a Gram-negative, flagellate, microaerophilic member of the Epsilonproteobacteria, with a spiral or curved bacilli morphology (Marshall and Warren 1984). The bacterium resides in the human stomach, and infections can span decades, often going undetected due to minor pathogenesis (Kusters et al. 2006). Infections frequency is higher in the Global South, and is associated with low socioeconomic status, education, remoteness, and inaccessibility to healthcare (Hooi et al. 2017; Bruce and Maaroos 2008). This infection is a public health concern because H. pylori infection increases the risk of adenocarcinoma of the gastric mucosa and gastric B-cell mucosal-associated lymphoid tissue (MALT) lymphoma, as well as peptic ulcer disease (Haley and Gaddy 2015). Indigenous communities in Canada experience increased rates of H. pylori infection, which is associated with poverty, crowded living conditions, and inaccessible health care. Infection is a concern for Indigenous communities given the bacterium's implication in the development of associated cancers, which is a severe health burden that too disproportionately affects Indigenous peoples. This project builds upon ongoing community-driven research by the Canadian North H. pylori (CANHelp) Working Group investigating the impact of H. pylori infection. In this research project we present the sequence H. pylori genomes of 57 CANHelp isolates sampled from the Western Canadian Arctic communities of Aklavik, Inuvik, Old Crow, Ross River, Teslin, and Fort McPherson and a comparator cohort of 73 southern Manitoban isolates. I developed and implemented a contamination detection pipeline to ensure only H. pylori sequence reads were used in genome assembly. The genomes were analyzed for their presence of: known markers associated with antimicrobial resistance to clarithromycin, metronidazole, levofloxacin, and amoxicillin; virulence factors like cagA, the cagPI, vacA, outer membrane proteins such as babA, and the Type I toxin-antitoxin system aapA1/isoA1; and the presence of mobile genomic elements such as plasmids, prophages, and genomic islands. The phylogenetic structure of these isolates was determined and explored, including determining genome sequence type, admixture, and patterns based on host household structures. Manitoban genomes were predominantly European in sequence type and were more likely to carry genetic features associated with virulence and antimicrobial resistance. Several distinct clades of CANHelp genomes were identified. Most notable were clades containing isolates belonging to a North American Indigenous sequence type. These genomes were less likely to carry genetic features associated with virulence and antimicrobial resistance. They were also smaller in genome length and in the number of coding sequences and were predominantly from Aklavik. This absence of genetic features was especially apparent when these genomes were compared to other CANHelp genomes belonging to European and African sequence types, which were more likely to carry these virulence- and resistance-associated features. These results suggest that there may be distinct H. pylori strains circulating in CANHelp communities with variable impact on hosts, including resistance to treatment. This project represents the first step in fully characterizing nearly 300 H. pylori isolates collected by the CANHelp Working Group.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".