Evidence map›Paper›PMID 35509037›Full record

ArticleInfectious diseases of poverty2022

Uncovering the genetic diversity of Giardia intestinalis in isolates from outbreaks in New Zealand.

Paul Ogbuigwe, Patrick J Biggs, Juan Carlos Garcia-Ramirez, Matthew A Knox, Anthony Pita, Niluka Velathanthiri, Nigel P French, David T S Hayman

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 23% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Paul OgbuigweSchool of Veterinary Science, Massey University, Palmerston North, Manawatu-Wanganui, New Zealand. P.Ogbuigwe@outlook.com.ORCID http://orcid.org/0000-0002-0553-3207
Patrick J BiggsSchool of Veterinary Science, Massey University, Palmerston North, Manawatu-Wanganui, New Zealand.
Juan Carlos Garcia-RamirezSchool of Veterinary Science, Massey University, Palmerston North, Manawatu-Wanganui, New Zealand.
Matthew A KnoxSchool of Veterinary Science, Massey University, Palmerston North, Manawatu-Wanganui, New Zealand.
Anthony PitaSchool of Veterinary Science, Massey University, Palmerston North, Manawatu-Wanganui, New Zealand.
Niluka VelathanthiriSchool of Veterinary Science, Massey University, Palmerston North, Manawatu-Wanganui, New Zealand.
Nigel P FrenchSchool of Veterinary Science, Massey University, Palmerston North, Manawatu-Wanganui, New Zealand.
David T S HaymanSchool of Veterinary Science, Massey University, Palmerston North, Manawatu-Wanganui, New Zealand.
Massey University · NZ

Funding

Royal Society Te Aparangi Rutherford Discovery Fellowship MAU1701
6 · The paper itself

Abstract

backgroundGiardia intestinalis is one of the most common causes of diarrhoea worldwide. Molecular techniques have greatly improved our understanding of the taxonomy and epidemiology of this parasite. Co-infection with mixed (sub-) assemblages has been reported, however, Sanger sequencing is sometimes unable to identify shared subtypes between samples involved in the same epidemiologically linked event, due to samples showing multiple dominant subtypes within the same outbreak. Here, we aimed to use a metabarcoding approach to uncover the genetic diversity within samples from sporadic and outbreak cases of giardiasis to characterise the subtype diversity, and determine if there are common sequences shared by epidemiologically linked cases that are missed by Sanger sequencing.

methodsWe built a database with 1109 unique glutamate dehydrogenase (gdh) locus sequences covering most of the assemblages of G. intestinalis and used gdh metabarcoding to analyse 16 samples from sporadic and outbreak cases of giardiasis that occurred in New Zealand between 2010 and 2018.

resultsThere is considerable diversity of subtypes of G. intestinalis present in each sample. The utilisation of metabarcoding enabled the identification of shared subtypes between samples from the same outbreak. Multiple variants were identified in 13 of 16 samples, with Assemblage B variants most common, and Assemblages E and A present in mixed infections.

conclusionsThis study showed that G. intestinalis infections in humans are frequently mixed, with multiple subtypes present in each host. Shared sequences among epidemiologically linked cases not identified through Sanger sequencing were detected. Considering the variation in symptoms observed in cases of giardiasis, and the potential link between symptoms and (sub-) assemblages, the frequency of mixed infections could have implications for our understanding of host-pathogen interactions.

Indexed as

CoinfectionGiardia lambliaGiardiasisDisease OutbreaksFecesGenetic VariationGenotypeGlutamate DehydrogenaseHumansNew ZealandGlutamate DehydrogenaseDNA sequencingEpidemiologyGenetic diversityGiardiasisMetabarcoding

Identifiers

PMID35509037
PMCPMC9066983
OpenAlexW4225427467

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.