Evidence map›Paper›PMID 20092631›Full record

ArticleBMC infectious diseases2010

Population dynamics of Neisseria gonorrhoeae in Shanghai, China: a comparative study.

Loubna Tazi, Marcos Pérez-Losada, Weiming Gu, Yang Yang, Lin Xue, Keith A Crandall, Raphael P Viscidi

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC infectious diseases, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-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

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review.IEEE access : practical innovations, open solutions · 2024
    Article
  2. Microbial sequence typing in the genomic era.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Review
  3. Article
  4. Article
  5. Article
  6. Molecular basis of high-level ciprofloxacin resistance in Neisseria gonorrhoeae strains from Shandong Province, China.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2013
    Article
  7. Article
  8. Article
  9. The evolution of HIV: inferences using phylogenetics.Molecular phylogenetics and evolution · 2012
    Review
  10. Article
  11. Global fluoroquinolone resistance epidemiology and implictions for clinical use.Interdisciplinary perspectives on infectious diseases · 2012
    Article
  12. Article
  13. Review
  14. Article
  15. 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

7 authors at 4 institutions in 3 countries.

Loubna TaziDivision of Epidemiology and Disease Control, University of Texas, Health Science Center at Houston, School of Public Health, Brownsville Regional Campus, Brownsville, TX, USA. Loubna.Tazi@uth.tmc.edu
Marcos Pérez-Losada
Weiming Gu
Yang Yang
Lin Xue
Keith A Crandall
Raphael P Viscidi
Brigham Young University · USJohns Hopkins Medicine · USShanghai Skin Disease Hospital · CNThe University of Texas Health Science Center · US

Funding

Molecular Epidemiology of N. gonorrhoeaeR01AI050217 · NIAID · JOHNS HOPKINS UNIVERSITY · PI VISCIDI, RAPHAEL PAUL · 2002 to 2006
$2.6M
NIAID NIH HHS R01 AI50217
6 · The paper itself

Abstract

backgroundGonorrhea is a major sexually transmitted disease (STD) in many countries worldwide. The emergence of fluoroquinolone resistance has complicated efforts to control and treat this disease. We report the first study of the evolutionary processes acting on transmission dynamics of a resistant gonococcal population from Shanghai, China. We compare these findings with our previous study of the evolution of a fluoroquinolone sensitive gonococcal population from Baltimore, MD.

methodsNinety six gonococcal samples were collected from male patients in Shanghai, China. All samples were fluoroquinolone resistant. Seven MLST housekeeping genes, two fluoroquinolone resistance genes (gyrA and parC) and the porB gene were sequenced and subjected to population genetic and evolutionary analyses. We estimated genetic diversity, recombination, growth, and selective pressure. The evolutionary history and population dynamics of the Shanghai population were also inferred and compared with that observed in a fluoroquinolone sensitive gonococcal population from Baltimore.

resultsFor both populations, mutation plays a larger role than recombination in the evolution of the porB gene, whereas the latter seems to be the main force driving the evolution of housekeeping and fluoroquinolone resistance genes. In both populations there was evidence for positively selected sites in all genes analyzed. The phylogenetic analyses showed no temporal clustering in the Shanghai gonococcal population, nor did we detect shared allelic profiles between the Shanghai and the Baltimore populations. Past population dynamics of gonococcal strains from Shanghai showed a rising relative effective population size (Ne) in MLST genes with a declining relative Ne for gyrA and parC, whereas among sensitive strains from Baltimore we previously observed concordance among these genes. In both Shanghai and Baltimore, the past population dynamics of gonococcal strains tracked changes in the prevalence of gonorrhea.

conclusionsOur study illustrates both similarities and differences in the evolutionary processes acting on gonococcal populations in different geographic areas. An explanation of this pattern that may apply in China is the continued use of quinolone antibiotics despite widespread resistance. Population genetic analysis of gonococcal strains in conjunction with epidemiological surveillance may provide insights into the epidemic behavior of antibiotic resistant strains and help to design control measures.

Indexed as

Evolution, MolecularGenetics, PopulationAdolescentAdultAnti-Bacterial AgentsBaltimoreBayes TheoremChinaDNA, BacterialDrug Resistance, BacterialFluoroquinolonesGenetic VariationGeographyGonorrheaHumansLikelihood FunctionsAnti-Bacterial AgentsDNA, BacterialFluoroquinolones

Identifiers

PMID20092631
PMCPMC2822776
OpenAlexW2048067818

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.