Back

A Phylogenomic Analysis of HIV Transmission Pattern among High Risk Groups of North-West India

Chauhan, C. K.; Lakshmi, P. V. M.; Sarma, P.; Gupta, V. S.; Sharma, A.; Arora, S. K.; Kumar, R.

2023-03-20 hiv aids
10.1101/2023.02.27.23286499 medRxiv
Show abstract

BackgroundMolecular techniques can enhance the power of epidemiological investigations for tracing HIV transmission networks. This information could be useful for developing strategies for prevention of HIV transmission. Hence, we carried out to a study on the transmission patterns among newly diagnosed HIV cases among High-Risk Groups (HRGs) of North-West India using phylogenomic methods. MethodsPhylogenomic analysis was carried out among 37 randomly selected samples of recently infected HRGs identified through Recent Infections Testing Algorithm (RITA) using Limiting Antigen Avidity Assay. Amplification of the reverse transcriptase region of pol gene (540 base pairs) and sequencing was done. Reference sequences were extracted from HIV Los Alamos database. Sequences aligned by Clustal W and HIV-1 subtype were determined on the basis of phylogenomic analysis of the pol sequence. Phylogenetic trees were constructed using the MEGA (version 11.0). ResultsThe phylogeny clearly depicts that the study isolates RTFSWCHD and RTFSWPB007 cluster with and are related to the Indian reference sequences AY746371 and EU683781 and a Nepalese sequence KX430115.The other study isolates (RTFSWCHD001, RTFSWPB005, RTFSWCHD002, RTFSWPB006, RTFSWHR008, RTFSWHR 009) clustered uniquely among themselves without any interlinking with other references. One study isolate (RTFSWHP004) clustered closely with Zimbabwian isolate AY998351. The phylogeny shows that the study isolate MSMCHD005 clades separately with the Indian references (DQ838761, EU683781and AY746371), but is also very closely related to the references from China (HG421606, JQ658754), Nepal(JN023039) and Myanmar (N223216, JN223183, KC913773). Other study isolates (MSMCHD003, MSMHP007, MSMCHD004, MSMPB001, MSMPB002, and MSMHR006) are highly interrelated among themselves and form a separate unique clade together. The evolutionary tree shows that all the sequences from current study formed a monophyletic lineage, i.e., sequences from India clustered together more than with sequences from any other country. The study sequences showed relatedness only to the Nepal references KX430115 and JN023035. The South African, UK, Norway, China, and Myanmar references are grouped into aseparate clade. ConclusionMolecular epidemiologic methods were able to reveal transmission networks; hence, phylogenomic methods can be used in HIV Sentinel Surveillance to monitor transmission networks.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 3%
28.4%
2
Infection, Genetics and Evolution
43 papers in training set
Top 0.1%
8.6%
3
Sexually Transmitted Infections
21 papers in training set
Top 0.1%
8.6%
4
Access Microbiology
22 papers in training set
Top 0.1%
8.4%
50% of probability mass above
5
Frontiers in Microbiology
375 papers in training set
Top 1%
5.0%
6
Journal of Medical Virology
137 papers in training set
Top 1%
2.8%
7
International Journal of Infectious Diseases
126 papers in training set
Top 0.8%
2.7%
8
Heliyon
146 papers in training set
Top 0.7%
2.5%
9
Journal of General Virology
46 papers in training set
Top 0.3%
1.9%
10
BMC Infectious Diseases
118 papers in training set
Top 2%
1.8%
11
Transboundary and Emerging Diseases
34 papers in training set
Top 0.3%
1.7%
12
BMJ Open
554 papers in training set
Top 10%
1.3%
13
IJID Regions
10 papers in training set
Top 0.1%
1.3%
14
Archives of Virology
14 papers in training set
Top 0.3%
1.3%
15
PLOS Neglected Tropical Diseases
378 papers in training set
Top 4%
1.3%
16
Infectious Diseases of Poverty
10 papers in training set
Top 0.2%
1.3%
17
Tropical Medicine and Infectious Disease
12 papers in training set
Top 0.3%
1.1%
18
International Journal of Environmental Research and Public Health
124 papers in training set
Top 6%
0.9%
19
Microbiology Spectrum
435 papers in training set
Top 4%
0.9%
20
AIDS and Behavior
14 papers in training set
Top 0.3%
0.8%
21
International Journal of Medical Informatics
25 papers in training set
Top 1%
0.8%
22
Journal of Antimicrobial Chemotherapy
43 papers in training set
Top 0.4%
0.8%
23
Viruses
318 papers in training set
Top 5%
0.7%
24
PLOS Pathogens
721 papers in training set
Top 10%
0.5%
25
Scientific Reports
3102 papers in training set
Top 79%
0.5%
26
Cureus
67 papers in training set
Top 6%
0.5%
27
Open Forum Infectious Diseases
134 papers in training set
Top 3%
0.5%