Characterizing genetic transmission networks among newly diagnosed HIV-1 infected individuals in eastern China: 2012-2016.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2022
2022
Historique:
received:
03
03
2021
accepted:
01
06
2022
entrez:
16
6
2022
pubmed:
17
6
2022
medline:
22
6
2022
Statut:
epublish
Résumé
We aimed to elucidate the characteristics of HIV molecular epidemiology and identify transmission hubs in eastern China using genetic transmission network and lineage analyses. HIV-TRACE was used to infer putative relationships. Across the range of epidemiologically-plausible genetic distance (GD) thresholds (0.1-2.0%), a sensitivity analysis was performed to determine the optimal threshold, generating the maximum number of transmission clusters and providing reliable resolution without merging different small clusters into a single large cluster. Characteristics of genetically linked individuals were analyzed using logistic regression. Assortativity (shared characteristics) analysis was performed to infer shared attributes between putative partners. 1,993 persons living with HIV-1 were enrolled. The determined GD thresholds within subtypes CRF07_BC, CRF01_AE, and B were 0.5%, 1.2%, and 1.7%, respectively, and 826 of 1,993 (41.4%) sequences were linked with at least one other sequence, forming 188 transmission clusters of 2-80 sequences. Clustering rates for the main subtypes CRF01_AE, CRF07_BC, and B were 50.9% (523/1027), 34.2% (256/749), and 32.1% (25/78), respectively. Median cluster sizes of these subtypes were 2 (2-52, n = 523), 2 (2-80, n = 256), and 3 (2-6, n = 25), respectively. Subtypes in individuals diagnosed and residing in Hangzhou city (OR = 1.423, 95% CI: 1.168-1.734) and men who have sex with men (MSM) were more likely to cluster. Assortativity analysis revealed individuals were more likely to be genetically linked to individuals from the same age group (AIage = 0.090, P<0.001) and the same area of residency in Zhejiang (AIcity = 0.078, P<0.001). Additionally, students living with HIV were more likely to be linked with students than show a random distribution (AI student = 0.740, P<0.01). These results highlight the importance of Hangzhou City in the regional epidemic and show that MSM comprise the population rapidly transmitting HIV in Zhejiang Province. We also provide a molecular epidemiology framework for improving our understanding of HIV transmission dynamics in eastern China.
Identifiants
pubmed: 35709166
doi: 10.1371/journal.pone.0269973
pii: PONE-D-21-07118
pmc: PMC9202869
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0269973Subventions
Organisme : NIDA NIH HHS
ID : R01 DA055491
Pays : United States
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
PLoS One. 2013 Jun 28;8(6):e68188
pubmed: 23840830
J Infect Dis. 2018 Nov 5;218(12):1943-1953
pubmed: 30010850
AIDS Res Hum Retroviruses. 2017 Mar;33(3):219-227
pubmed: 27762600
BMC Infect Dis. 2014 Sep 08;14:490
pubmed: 25200651
Zhonghua Yu Fang Yi Xue Za Zhi. 2012 Nov;46(11):987-91
pubmed: 23363917
PLoS One. 2014 Jun 05;9(6):e98443
pubmed: 24901437
Clin Infect Dis. 2015 Nov 1;61(9):1462-8
pubmed: 26129754
Emerg Microbes Infect. 2013 Jul;2(7):e45
pubmed: 26038478
PLoS One. 2017 Feb 2;12(2):e0171062
pubmed: 28152089
J Infect Dis. 2015 Mar 15;211(6):926-35
pubmed: 25312037
Sex Transm Infect. 2016 Nov;92(7):508-514
pubmed: 27288414
Sex Transm Dis. 1996 May-Jun;23(3):248-57
pubmed: 8724517
Zhonghua Liu Xing Bing Xue Za Zhi. 2016 Oct 10;37(10):1356-1360
pubmed: 27765125
Sci Rep. 2017 Jul 24;7(1):6330
pubmed: 28740095
PLoS Pathog. 2017 Jan 9;13(1):e1006000
pubmed: 28068413
Zhonghua Liu Xing Bing Xue Za Zhi. 2017 Dec 10;38(12):1638-1641
pubmed: 29294578
Zhonghua Liu Xing Bing Xue Za Zhi. 2015 Jan;36(1):61-6
pubmed: 25876868
Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Feb;67(2 Pt 2):026126
pubmed: 12636767
Arch Virol. 2017 Nov;162(11):3329-3338
pubmed: 28726130
J Infect Dis. 2014 Jan 15;209(2):304-13
pubmed: 24151309
Am J Public Health. 2014 Feb;104(2):218-25
pubmed: 24328618
AIDS. 2015 Nov 28;29(18):2517-22
pubmed: 26558547
Emerg Themes Epidemiol. 2015 Nov 11;12:16
pubmed: 26566391
Virol Sin. 2018 Apr;33(2):209-212
pubmed: 29549651
Nucleic Acids Res. 2014 Oct;42(18):e144
pubmed: 25120265
Retrovirology. 2017 Feb 21;14(1):15
pubmed: 28222757
Sci Rep. 2016 Jun 29;6:28703
pubmed: 27352965
Clin Infect Dis. 2019 Apr 24;68(9):1539-1546
pubmed: 30169606
Sci Rep. 2017 Oct 24;7(1):13892
pubmed: 29066776
BMC Public Health. 2016 Nov 15;16(1):1161
pubmed: 27846873
Mol Biol Evol. 1993 May;10(3):512-26
pubmed: 8336541
BMC Public Health. 2019 Jun 10;19(1):722
pubmed: 31182070
Mol Biol Evol. 2018 Jul 1;35(7):1812-1819
pubmed: 29401317
Arch Sex Behav. 2015 Oct;44(7):1773-86
pubmed: 26168977
Clin Infect Dis. 2016 Jun 1;62(11):1443-7
pubmed: 27129466
Infect Genet Evol. 2015 Apr;31:135-41
pubmed: 25653132