| Literature DB >> 32665616 |
Patrícia Brasil1, Zilton Vasconcelos2, Tara Kerin3, Claudia Raja Gabaglia4, Ieda P Ribeiro2, Myrna C Bonaldo2, Luana Damasceno2, Marcos V Pone2, Sheila Pone2, Andrea Zin2, Irena Tsui3, Kristina Adachi3, Jose Paulo Pereira2, Stephanie L Gaw5, Liege Carvalho2, Denise C Cunha2, Leticia Guida2, Mirza Rocha2, James D Cherry3, Lulan Wang3, Saba Aliyari3, Genhong Cheng3, Suan-Sin Foo6, Weiqiang Chen6, Jae Jung6, Elizabeth Brickley7, Maria Elisabeth L Moreira2, Karin Nielsen-Saines8.
Abstract
We report Zika virus (ZIKV) vertical transmission in 130 infants born to PCR+ mothers at the time of the Rio de Janeiro epidemic of 2015-2016. Serum and urine collected from birth through the first year of life were tested by quantitative reverse transcriptase polymerase chain reaction (PCR) and/or IgM Zika MAC-ELISA. Four hundred and seven specimens are evaluated; 161 sera tested by PCR and IgM assays, 85 urines by PCR. Sixty-five percent of children (N = 84) are positive in at least one assay. Of 94 children tested within 3 months of age, 70% are positive. Positivity declines to 33% after 3 months. Five children are PCR+ beyond 200 days of life. Concordance between IgM and PCR results is 52%, sensitivity 65%, specificity 40% (positive PCR results as gold standard). IgM and serum PCR are 61% concordant; serum and urine PCR 55%. Most children (65%) are clinically normal. Equal numbers of children with abnormal findings (29 of 45, 64%) and normal findings (55 of 85, 65%) have positive results, p = 0.98. Earlier maternal trimester of infection is associated with positive results (p = 0.04) but not clinical disease (p = 0.98). ZIKV vertical transmission is frequent but laboratory confirmed infection is not necessarily associated with infant abnormalities.Entities:
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Year: 2020 PMID: 32665616 PMCID: PMC7360785 DOI: 10.1038/s41467-020-17331-0
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919
Frequency of abnormal findings among in utero ZIKV-exposed infants according to ZIKV postnatal testing status.
| All | Tested infants | Untested infants | |||||
|---|---|---|---|---|---|---|---|
| % | % | % | |||||
| Infants with any abnormal findings | 78/216 | 36.1 | 45/130 | 34.6 | 33/86 | 38.4 | |
| Structural brain abnormalities | 14/140 | 10.0 | 14/113 | 12.4 | 0/27 | 0 | |
| Complete eye exam (abnormal) | 9/137 | 6.6 | 6/109 | 5.5 | 3/28 | 10.7 | |
| Hearing assessment (abnormal) | 13/114 | 11.4 | 11/91 | 12.1 | 2/23 | 8.7 | |
| Small for gestational age | 10/216 | 4.6 | 10/130 | 7.7 | 0/86 | 0 | |
| Below average neurodevelopmenta | 62/216 | 28.7 | 17/129 | 13.2 | 45/87 | 51.7 | |
| 1st Trimester maternal infection | 54/216 | 25.0 | 40/130 | 30.7 | 14/86 | 16.3 | |
| 2nd Trimester maternal infection | 109/21 | 50.5 | 61/130 | 46.9 | 48/86 | 55.8 | |
| 3rd Trimester maternal infection | 53/216 | 24.5 | 29/130 | 22.3 | 24/86 | 27.9 | |
| Microcephaly | 8/216 | 3.7 | 8/130 | 6.1 | 0/86 | 0 | |
aAssessed through Bayley-III or HINES.
*Chi-square (Fisher’s exact t-test used when cell values equal zero).
Fig. 1Timing of positive and negative ZIKV laboratory results over time by age.
The figure reflects the number of assays performed in each assay category in specimens collected from 130 children. There were 161 serum specimens run for ZIKV PCR and ZIKV IgM and 85 urine specimens run for ZIKV PCR. The vertical line in the box represents the median, the box the interquartile range (10–90% of the data), and the whiskers the 95% confidence interval. The figure represents all the assays performed, not the number of children. All IgM assays were run once and in duplicate and all PCR assays were run once in triplicate. Children can be represented more than once. Error bars represent the standard deviation.
ZIKV vertical transmission by age and assay type.
| No. of children | Positive | % | |
|---|---|---|---|
| Tested within the first 3 months of age | 94 (72%) | 66 | 70% |
| PCR serum | 76 (81%) | 30 | 39% |
| IgM | 75 (80%) | 29 | 39% |
| PCR urine | 54 (57%) | 26 | 48% |
| First tested after 3 months of agea | 36 (28%) | 18 | 50% |
| PCR serum | 33 (92%) | 7 | 21% |
| IgM | 36 (100%) | 7 | 19% |
| PCR urine | 19 (53%) | 8 | 42% |
| Tested after 3 months of age | 78 (60%) | 26 | 33% |
| PCR serum | 62 (79%) | 9 | 15% |
| IgM | 65 (83%) | 13 | 20% |
| PCR urine | 23 (29%) | 10 | 43% |
| All time points | 130 (100%) | 84 | 65% |
| PCR serum | 109 (84%) | 38 | 35% |
| IgM | 112 (86%) | 41 | 37% |
| PCR urine | 73 (56%) | 36 | 49% |
aNinety-four children had their first laboratory test for ZIKV infection within 90 days of age; 36 children had their first assay performed after 90 days of age. Some children had one laboratory assay performed prior to 90 days of age and a subsequent laboratory assay performed post 90 days of age. Any children in this situation would be counted in the table as tested prior to 90 days of age. If there was repeat testing after 90 days of age children are also counted in that category for that specific assay, i.e., the number of assays does not reflect the number of children, as some children had more than one assay.
Frequency of Zika testing (n = 407 in 130 children).
| No. of children | % | No. NEG every time | No. POS every time | No. changing from POS to NEG | No. changing from NEG to POS | |
|---|---|---|---|---|---|---|
| Serum Zika RT-PCRa | 109 | |||||
| Once | 67 | 61.5% | 47 | 20 | ||
| Two time points | 34 | 31.2% | 21 | 0 | 11 | 2 |
| Three time points | 6 | 5.5% | 3 | 0 | 3 | 0 |
| Four time points | 2 | 1.8% | 0 | 0 | 1 | 1 |
| Zika IgM Mac Elisab | 112 | |||||
| Once | 72 | 64.3% | 52 | 20 | ||
| Two time points | 32 | 28.6% | 17 | 1 | 12 | 2 |
| Three time points | 7 | 6.3% | 2 | 0 | 2 | 3 |
| Four time points | 1 | 0.9% | 0 | 0 | 0 | 1 |
| Urine Zika RT-PCRc | 73 | |||||
| Once | 64 | 87.7% | 34 | 30 | ||
| Two time points | 6 | 8.2% | 3 | 0 | 3 | 0 |
| Three time points | 3 | 4.1% | 0 | 0 | 0 | 3 |
aNumber of serum PCR tests (n = 161).
bNumber of Zika IgM Mac Elisa (n = 161).
cNumber of urine Zika RT-PCR (n = 85).
Association between ZIKV laboratory results, clinical findings, and gestational age at infection.
| Any positive ZIKV-Lab result ( | Any negative ZIKV-Lab result ( | |||||
|---|---|---|---|---|---|---|
| All infants | % | % | ||||
| All infants | 130 | 84 | 65% | 46 | 35% | |
| Infants with abnormal findingsa | 45 | 29 | 64% | 16 | 36% | 0.98 |
| Infants with no abnormal findingsa | 85 | 55 | 65% | 30 | 35% | |
| Brain Imaging | 113 | 74 | 65% | 39 | 35% | 0.37 |
| Structural abnormalities | 14 | 11 | 79% | 3 | 21% | |
| Fundoscopy | 109 | 68 | 62% | 41 | 38% | 0.41 |
| Abnormal | 6 | 5 | 83% | 1 | 17% | |
| Hearing Assessment | 91 | 60 | 66% | 31 | 34% | 0.09 |
| Abnormal | 11 | 10 | 91% | 1 | 9% | |
| Neurologic exam | 130 | 84 | 65% | 46 | 35% | 0.94 |
| Abnormal | 25 | 16 | 64% | 9 | 36% | |
| Gestational age assessment | 130 | 84 | 65% | 46 | 35% | 0.74 |
| Small for gestational age | 10 | 6 | 60% | 4 | 4% | |
| Neurodevelopment | 129 | 83 | 64% | 46 | 36% | 0.76 |
| Abnormal Bayley-III or HINES | 17 | 12 | 71% | 5 | 29% | |
| Gestational Trimester of Infection | 130 | 84 | 65% | 46 | 35% | |
| First | 40 | 31 | 78% | 9 | 23% | 0.04 |
| Second | 61 | 39 | 64% | 22 | 36% | |
| Third | 29 | 14 | 48% | 15 | 52% | |
Pearson’s chi-square with Yates’ continuity correction was used unless expected cell count was <5, then Fisher’s exact test was used.
aIncludes abnormal hearing, eye, gestational age size assessment, neurodevelopment, neurological exam, or structural brain abnormality.
Fig. 2Infant positive PCR and IgM results by infant age and maternal gestational age of infection.
Panel (a) depicts positive ZIKV PCR results in serum or urine for unique children. Before 90 days of age, 45 children had positive PCR results. After 90 days of age, 17 children had positive PCR results. The difference in distribution of positive PCR results between both age groups was not statistically significant, p = 0.87. Panel (b) depicts positive ZIKV IgM results. Before 90 days of infant age, 29 infants had positive results. After 90 days of age, 13 children had positive IgM results. The difference in distribution of positive IgM results between both age groups was statistically significant, p = 0.03. The statistical test used for comparison was a two-sided hypothesis Student T-test at the alpha 0.05 level. There were no adjustments for multiple comparisons. Error bars represent the standard deviation.