| Literature DB >> 35126323 |
Larissa Melo Bandeira1, Marco Antonio Moreira Puga1, Julio Croda1,2, Maurício Antonio Pompílio1, Carolina Amianti1, Grazielli Rocha de Rezende1, Ana Rita Coimbra Motta-Castro1,2.
Abstract
Human T-lymphotropic virus (HTLV) infection is endemic in some group populations. Prisoners are at high risk of acquiring HTLV infection mainly due to the environment of closed penal institutions, socioeconomic conditions, and risk behaviors. This study aimed to investigate the prevalence, the occurrence of new cases of HTLV infection after a 1-year follow-up, and circulating subtypes of HTLV-1 among prisoners from twelve closed prisons in Mato Grosso do Sul state, Central Brazil. A total of 1,507 prisoners were randomly enrolled in the cross-sectional study. Out of the 1,507 participants, 1,000 prisoners, susceptible to HTLV infection, were included in the prospective cohort study. In the cross-sectional study, serological evidence of HTLV infection was 0.4% (CI 95%: 0.1-0.7), tested for anti-HTLV antibodies by enzyme-linked immunosorbent assay (ELISA). Three samples were positive for HTLV-1, two samples were positive for HTLV-2, and 1 sample was indeterminate by the Western blot method. The presence of HTLV proviral DNA was detected in all positive samples by amplification of the HTLV tax gene through nested-PCR. Phylogenetic analysis showed that HTLV-1 samples belonged to the Cosmopolitan subtype Transcontinental subgroup. From a cohort of 1,000 individuals, no new case of HTLV infection was detected. Although the prevalence rate of HTLV infection found in this study was similar to that observed in the Brazilian general population, the lack of access to preventive interventions and harm reduction measures all contribute to increasing the risk of HTLV transmission and acquisition among this key and vulnerable population.Entities:
Keywords: Brazil; high-risk population; human T-lymphotropic virus; prevalence; prisoners
Year: 2022 PMID: 35126323 PMCID: PMC8815966 DOI: 10.3389/fmicb.2021.740245
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
FIGURE 1The geographic location of study prisons, Mato Grosso do Sul State, Brazil (Adapted from Puga et al., 2017).
Characteristics of 1,507 inmates of the cross-sectional study and of 1,000 inmates of the cohort study.
| Characteristics | Cross-sectional study ( | Prospective cohort study ( | ||
| N | % | N | % | |
|
| ||||
| 18–24 | 358 | 24.22 | 183 | 18.47 |
| 25–39 | 834 | 56.43 | 608 | 61.35 |
| 40–59 | 271 | 18.34 | 191 | 19.27 |
| ≥ 60 | 15 | 1.01 | 9 | 0.91 |
|
| ||||
| Female | 200 | 13.27 | 130 | 13.00 |
| Male | 1.307 | 86.73 | 870 | 87.00 |
|
| ||||
| ≤ 9 | 1073 | 73.39 | 743 | 75.13 |
| > 9 | 389 | 26.61 | 246 | 24.87 |
|
| ||||
| Single | 633 | 43.00 | 449 | 46.82 |
| Married | 469 | 31.86 | 399 | 41.61 |
| Divorced/widowed | 370 | 25.14 | 111 | 11.57 |
|
| ||||
| White | 488 | 32.95 | 324 | 33.68 |
| Multiracial | 779 | 52.60 | 500 | 51.97 |
| Black | 164 | 11.07 | 108 | 11.23 |
| Asian | 34 | 2.30 | 17 | 1.77 |
| Indigenous | 16 | 1.08 | 13 | 1.35 |
|
| ||||
| Campo Grande | 789 | 52.36 | 492 | 49.20 |
| Corumbá | 161 | 10.68 | 114 | 11.40 |
| Dourados | 270 | 17.92 | 225 | 22.50 |
| Ponta Porã | 148 | 9.82 | 94 | 9.40 |
| Três Lagoas | 139 | 9.22 | 75 | 7.50 |
|
| ||||
| No | 1246 | 87.68 | 953 | 96.55 |
| Yes | 175 | 12.32 | 34 | 3.45 |
|
| ||||
| No | 1333 | 92.00 | 918 | 93.67 |
| Yes | 116 | 8.00 | 62 | 6.33 |
|
| ||||
| Always | 490 | 32.82 | 142 | 22.94 |
| Sometimes/Never | 1003 | 67.18 | 477 | 77.06 |
|
| ||||
| No | 1443 | 98.84 | 994 | 99.70 |
| Yes | 17 | 1.16 | 3 | 0.30 |
|
| ||||
| No | 154 | 98.09 | 939 | 99.89 |
| Yes | 3 | 1.91 | 1 | 0.11 |
|
| ||||
| No | 1292 | 87.36 | 773 | 78.32 |
| Yes | 187 | 12.64 | 214 | 21.68 |
|
| ||||
| No | – | – | 980 | 98.59 |
| Yes | – | – | 14 | 1.41 |
|
| ||||
| No | 497 | 33.05 | – | – |
| Yes | 1007 | 66.95 | – | – |
|
| ||||
| No | – | – | 860 | 86.17 |
| Yes | – | – | 138 | 13.83 |
|
| ||||
| No | 1447 | 96.66 | – | – |
| Yes | 50 | 3.34 | – | – |
|
| ||||
| No | – | – | 982 | 98.69 |
| Yes | – | – | 13 | 1.31 |
|
| ||||
| Negative | 1485 | 98.54 | 982 | 98.20 |
| Positive | 22 | 1.46 | 18 | 1.80 |
|
| ||||
| Negative | 1470 | 97.54 | 992 | 99.20 |
| Positive | 37 | 2.46 | 8 | 0.80 |
|
| ||||
| Negative | 1365 | 90.58 | 960 | 96.00 |
| Positive | 142 | 9.42 | 40 | 4.00 |
FIGURE 2Flow chart of the screening process for the detection of HTLV infection. Abbreviations: EPFCAJG – Estabelecimento Penal Feminino Carlos Alberto Jonas Giordano, EPC – Estabelecimento Penal de Corumbá, EPFIIZ – Estabelecimento Penal Feminino Irmã Irma Zorzi, CTAL – Centro de Triagem Anízio Lima, PTCG – Presídio de Trânsito de Campo Grande, IPCG – Instituto Penal de Campo Grande, EPJFC – Estabelecimento Penal Jair Ferreira de Carvalho, PHAC – Penitenciária Harry Amorim Costa, EPFPP – Estabelecimento Penal Feminino de Ponta Porã, EPRB – Estabelecimento Penal Ricardo Brandão, EPFTL – Estabelecimento Penal Feminino de Três Lagoas, PTL – Penitenciária de Três Lagoas.
Sociodemographic and risk behavior characteristics of the six anti-HTLV infected prisoners of the cross-sectional study.
|
| ID-452 | ID-2545 | ID-3417 | ID-3270 | ID-3484 | ID-573 |
| HTLV | HTLV-1aA | HTLV-1aA | HTLV-1 | HTLV-2 | HTLV-2 | HTLV |
| Age (years) | 33 | 62 | 55 | 46 | 29 | 44 |
| Marital status | Married | Married | Married | Single | Single | Single |
| Gender | Male | Male | Male | Male | Male | Male |
| Ethnicity | Multiracial | Black | Multiracial | Multiracial | White | Multiracial |
| Naturality | MS | MS | RN | SP | MS | MS |
| City of imprisonment | Três Lagoas | Campo Grande | Campo Grande | Campo Grande | Campo Grande | Três Lagoas |
| Prison | PTL | IPCG | EPJFC | EPJFC | EPJFC | PTL |
| IDU history | No | No | Yes | Yes | No | No |
| Blood transfusion before 1993 | No | No | No | No | No | No |
| Condom use | Always | Sometimes | Never | Sometimes | Never | Sometimes |
| Sexual preference | Heterosexual | Heterosexual | Heterosexual | Heterosexual | Heterosexual | Heterosexual |
| Previous incarceration | Yes | Yes | Yes | Yes | No | No |
| Time in prison (months) | 12 | 324 | NA | NA | 156 | 1 |
| Anti-HIV positive | Negative | Negative | Negative | Negative | Negative | Positive |
| Anti-HCV positive | Negative | Positive | Positive | Positive | Negative | Negative |
| HBsAg positive | Negative | Negative | Negative | Negative | Negative | Negative |
| Total anti-HBc positive | Positive | Negative | Negative | Positive | Negative | Negative |
| Active tuberculosis | Negative | Negative | Negative | Negative | Negative | Negative |
ID-identification number of the participant sample, IDU-Injection drug use, MS-Mato Grosso do Sul state, RN-Rio Grande do Norte state, SP-São Paulo state NA: data not available.