Evidence map›Paper›PMID 27134872›Full record

ArticleJournal of clinical and diagnostic research : JCDR2016

Molecular Characterisation of Clinical Isolates of Chikungunya Virus: A Study from Tertiary Care Hospitals in Southern India.

Bharath Mudurangaplar, B V Peerapur

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Current Status of Chikungunya in India.Frontiers in microbiology · 2021
    Review
  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

2 authors at 1 institution in 1 country.

Bharath MudurangaplarPhD Scholar, Department of Microbiology, Shri B.M. Patil Medical College and Research Center, BLDE University , Bijapur, Karnataka, India .
B V PeerapurProfessor and HOD, Department of Microbiology, Raichur Institute of Medical Sciences (RIMS) , Raichur, Karnataka, India .
Shri BM Patil Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIndian ocean islands and India have experienced massive severe Chikungunya outbreak from 2005 up till now and then Chikungunya became epidemic in India. The mutations that occurred in E1 gene were responsible for increased infectivity, virulence and host adaptability. It is important to find out the genotype and its probable evolvement and novel mutations in the E1 gene reported during 2006-2009 from the current isolates, which may affect the local protein structure.

aimTo perform Molecular diagnosis and Molecular Characterisation of Chikungunya virus isolates. MATERIALS AND

methodsA total of 33 samples were included in the study. RNA was isolated from 33 serum samples and Real time PCR was carried out. Further, Nested PCR and E1 partial gene sequencing was performed. Phylogenetic analysis, mutational analysis and protein modelling studies were carried out.

resultsOut of 33 samples tested, 31 were found positive for CHIK RNA. Phylogenetic analysis showed that isolates belongs to ECSA genotype and E1K211E, E1M269V and E1D284E mutations were observed from all the isolates.

conclusionThe isolates may have evolved from ECSA Reunion island strains and identified unique mutations in E1 gene were maintained. These mutations have not affected local protein structure.

Indexed as

E1 geneMutational analysisPhylogenetic analysis

Identifiers

PMID27134872
PMCPMC4843258
OpenAlexW2323257439

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.