Evidence map›Paper›PMID 15814963›Full record

ArticleJournal of clinical microbiology2005

Comparing genomes of Helicobacter pylori strains from the high-altitude desert of Ladakh, India.

Farhana Kauser, M Abid Hussain, Irshad Ahmed, Naheed Ahmad, Aejaz Habeeb, Aleem A Khan, Niyaz Ahmed

Erratum issuedOpen access · greenAbstract readComparative Study
In one paragraph

Article in Journal of clinical microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Expression analysis of miRNA-155 level inIranian journal of microbiology · 2022
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Farhana KauserPathogen Evolution Group, Centre for DNA Fingerprinting and Diagnostics, Nacharam, Hyderabad 500 076, India.
M Abid Hussain
Irshad Ahmed
Naheed Ahmad
Aejaz Habeeb
Aleem A Khan
Niyaz Ahmed
Centre for DNA Fingerprinting and Diagnostics · INAllied Hospital · PKDeccan College of Medical Sciences · INPatna University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genomic diversity of Helicobacter pylori from the vast Indian subcontinent is largely unknown. We compared the genomes of 10 H. pylori strains from Ladakh, North India. Molecular analysis was carried out to identify rearrangements within and outside the cag pathogenicity island (cag PAI) and DNA sequence divergence in candidate genes. Analyses of virulence genes (such as the cag PAI as a whole, cagA, vacA, iceA, oipA, babB, and the plasticity cluster) revealed that H. pylori strains from Ladakh are genetically distinct and possibly less virulent than the isolates from East Asian countries, such as China and Japan. Phylogenetic analyses based on the cagA-glr motifs, enterobacterial repetitive intergenic consensus patterns, repetitive extragenic palindromic signatures, the glmM gene mutations, and several genomic markers representing fluorescent amplified fragment length polymorphisms revealed that Ladakhi strains share features of the Indo-European, as well as the East Asian, gene pools. However, the contribution of genetic features from the Indo-European gene pool was more prominent.

Indexed as

AltitudeDesert ClimateGenome, BacterialAntigens, BacterialBacterial ProteinsHelicobacter InfectionsHelicobacter pyloriHumansIndiaMolecular Sequence DataPhylogenyPolymorphism, Restriction Fragment LengthSequence Analysis, DNAAntigens, BacterialBacterial ProteinscagA protein, Helicobacter pylori

Identifiers

PMID15814963
PMCPMC1081395
OpenAlexW2024933170

What OpenQuestion holds

Textmetadata
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.