Back

Genetic Diversity of the cagA gene of Helicobacter pylori strains from Sudanese Patients with Different Gastroduodenal Diseases

Hassan, H. G.; Idris, A. B.; Hassan, M. A.; Altayb, H. N.; Yasin, K.; Beirage, N.; Abdel Hamid, M. M.

2019-09-27 gastroenterology
10.1101/19007435 medRxiv
Show abstract

BackgroundThere is an increase in the prevalence of Helicobacter pylori infection in Sudan, accompanied by a high incidence of upper gastrointestinal malignancy. The cytotoxin-associated gene cagA gene is a marker of a pathogenicity island (PAI) in H. pylori and plays a crucial role in determining the clinical outcome of Helicobacter infections. ObjectiveThis study aimed to determine the frequency and heterogeneity of the cagA gene of H. pylori and correlate the presence of cagA gene with clinical outcomes. Materials and methodsFifty endoscopy biopsies were collected from Fedail and Soba hospitals in Khartoum state. DNA was extracted using the Guanidine chloride method followed by PCR to amplify 16S rRNA and cagA gene of H. pylori using specific primers. DNA amplicons of cagA gene were purified and sequenced. Bioinformatics and statistical analysis were done to characterize and to test the association between cagA gene and gastric complications. ResultsCagA gene was detected in 20/37(54%) of the samples that were found positive for H. pylori. There was no association between endoscopy finding and the presence of the cagA gene (p = 0.225). Specific amino acid variations were found at seven loci related to strains from a patient with duodenitis, gastric ulcer, and gastric atrophy (R448H, T457K, S460L, IT463-464VA, D470E, A482Q, KNV490-491-492TKT) while mutations in cancerous strain were A439P, T457P, and H500Y. ConclusionDisease-specific variations of cagA of H. pylori strains, in the region of amino acid residues 428-510, were evident among Sudanese patients with different gastroduodenal diseases. A novel mutation (K458N) was detected in a patient with duodenitis, which affects the positive electrostatic surface of cagA. Phylogenetic analysis showed a high level of diversity of cagA from Sudanese H. pylori strains.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 0.1%
23.0%
2
PLOS ONE
4510 papers in training set
Top 17%
10.6%
3
Cureus
67 papers in training set
Top 0.7%
4.9%
4
PeerJ
261 papers in training set
Top 0.9%
4.9%
5
Frontiers in Microbiology
375 papers in training set
Top 2%
4.9%
6
Scientific Reports
3102 papers in training set
Top 22%
4.9%
50% of probability mass above
7
F1000Research
79 papers in training set
Top 0.5%
3.7%
8
Biomedicines
66 papers in training set
Top 0.5%
2.1%
9
Frontiers in Medicine
113 papers in training set
Top 2%
2.1%
10
Heliyon
146 papers in training set
Top 1%
1.8%
11
Journal of Clinical Medicine
91 papers in training set
Top 3%
1.8%
12
Vaccines
196 papers in training set
Top 1%
1.7%
13
Aging
69 papers in training set
Top 1%
1.7%
14
American Journal of Gastroenterology
15 papers in training set
Top 0.2%
1.5%
15
Frontiers in Oncology
95 papers in training set
Top 2%
1.5%
16
PLOS Neglected Tropical Diseases
378 papers in training set
Top 3%
1.5%
17
Journal of Family Medicine and Primary Care
10 papers in training set
Top 0.3%
1.4%
18
International Journal of Molecular Sciences
453 papers in training set
Top 10%
1.2%
19
mSphere
281 papers in training set
Top 4%
1.2%
20
Database
51 papers in training set
Top 0.6%
1.2%
21
BMC Public Health
147 papers in training set
Top 4%
1.2%
22
Journal of Medical Virology
137 papers in training set
Top 4%
0.8%
23
Viruses
318 papers in training set
Top 5%
0.8%
24
BMC Cancer
52 papers in training set
Top 2%
0.8%
25
Frontiers in Pharmacology
100 papers in training set
Top 4%
0.8%
26
Nutrients
64 papers in training set
Top 2%
0.7%
27
Journal of Proteomics
27 papers in training set
Top 0.5%
0.7%
28
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 10%
0.7%
29
BioMed Research International
25 papers in training set
Top 4%
0.7%
30
Genes
126 papers in training set
Top 4%
0.5%