Skip to main content
Erschienen in: Virology Journal 1/2023

Open Access 01.12.2023 | Research

Enterovirus B types cause severe infection in infants aged 0–3 months

verfasst von: Xiaohan Yang, Lei Duan, Wenli Zhan, Yuan Tang, Lihua Liang, Jia Xie, Mingyong Luo

Erschienen in: Virology Journal | Ausgabe 1/2023

Abstract

Background

Enterovirus (EV) infections are being increasingly seen in younger infants, often being more severe than in older children. The risk factors of EV infection in infants have been inadequately investigated till date.

Methods

We conducted a retrospective study on hospitalized children with laboratory-confirmed EV infection (50 infants aged 0–3 months and 65 older than 3 months) at a tertiary care center in China. Prevalence, clinical characteristics, and genetic features of the virus were analyzed, and independent predictors for severe infection were assessed.

Results

Clinical findings showed that severe infection was more common in infants aged 0–3 months than in older children (78.0% vs. 35.4%, p < 0.001), with higher morbidity of pneumonia, meningitis, and sepsis (p < 0.01). EV-B types were detected more frequently in infants aged 0–3 months than in older children (88.0% vs. 7.7%, p < 0.001). Echovirus 11 was the most identified EV-B, and it recombined with E6 in P2 and P3 regions. Risk factors for severe EV infection included EV-B types infection, age less than 3 months, elevated alanine aminotransferase level, abnormal platelet count, and abnormal cerebrospinal fluid characteristics.

Conclusions

Our data indicated that EV-B types mainly cause severe infection in infants aged 0–3 months. Therefore, knowledge about EV-B types could have implications in designing effective intervention and prevention strategies for young infants with severe EV infection.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12985-023-01965-9.
Xiaohan Yang and Lei Duan contributed equally to this work

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
EV
Enterovirus
CV
Coxsackievirus
E
Echovirus
HFMD
Hand-foot-mouth disease
CSF
Cerebrospinal fluid
OR
Odds ratio
CI
Confidence interval
GLU
Glucose
PCT
Procalcitonin
WBC
White blood cell
NEUT
Neutrophils
LYMPH
Lymphocytes
PLT
Platelets
CRP
C-reactive protein
ALT
Alanine aminotransferase
AST
Aspartate aminotransferase
UA
Uric acid
LDH
Lactate dehydrogenase
CK
Creatine kinase
Cl
Chloride
VP
Viral capsid protein
IQR
Interquartile range
OR
Odds ratio
CI
Confidence interval
N.S.
No significant
N.D.
Not detected

Background

Enterovirus (EV) are small non-enveloped RNA viruses belonging to the family Picornaviridae, with genomes approximately 7500 nucleotides in length. Currently, more than 100 EV types, assigned to four species, have been found to infect humans, namely enterovirus A (EV-A), EV-B, EV-C, and EV-D, based on genetic divergence [1, 2]. EV are distributed worldwide and have a seasonal incidence patterns in temperate regions during summer and fall and occur year-round in the tropics [3]. EV infection in children manifest as a spectrum of clinical disorders, including non-specific febrile illness, hand-foot-mouth disease (HFMD), meningitis, viral encephalitis, myocarditis, sepsis, and pulmonary edema. The severity and mortality of EV infection are generally inversely related to age, especially in newborns within the first few days of life [4, 5].
In recent decades, several EV-A-associated HFMD outbreaks, particularly those caused by EV-A71, coxsackievirus (CV) A6, CVA10, and CVA16 types, involving millions of children under 5 years of age, have been described in detail [69]. Unlike EV-A infections, EV-B infections (echovirus (E) 1–7, E9, E11–21, E24–27, E29–33, CVB1–6, and CVA9) are commonly identified in children less than 1 year old and are characterized by serious disease, with high mortality rate [10, 11]. The circulation of EV-B types has been associated with several EV outbreaks in Asia, Europe, and the USA in recent years [1214]. However, the incidence of infant infections and circulating types varies markedly across countries and regions.
There is growing interest in the understanding of epidemiology of EV in infants, particularly due to their association with severe disorders. Awareness of the clinical features associated with severe conditions in infants, recognition of the risk factors, and monitoring of the infection types might help pediatricians diagnose severe cases promptly and treat them appropriately to reduce mortality. In this study, we described the epidemiological, clinical, and genetic characteristics of EV infections in a cohort of children admitted to a tertiary care center in Guangzhou, China. Furthermore, with the clinical and molecular epidemiological patterns of EV infection, we aimed to explore the clinical spectrum and relationship of individual EV types with the risk factors of severe infection in infants.

Methods

Study design and patients

Children hospitalized with laboratory-confirmed EV infection, between January and December 2019, at the Guangdong Women and Children Hospital, Guangzhou, China were included in this study. A confirmed case of EV infection was defined by positive EV-RNA findings in stool, plasma, and/or cerebrospinal fluid (CSF) specimens. Moreover, we extracted demographic data, clinical symptoms or signs, laboratory data, CSF parameters, and outcomes upon admission from the patients’ electronic medical records, and all laboratory tests were performed according to the clinical care needs of the children.

EV detection and type determination

Nucleic acids were extracted from stool, plasma, and/or CSF samples of suspected children using the Ex-DNA/RNA Virus Kits (Tianlong Bio-technology, Suzhou, China), and amplified using the commercial pan-enterovirus q-PCR kit (DAAN Gene, Guangzhou, China) for EV in the 7500 fast real-time PCR system (Applied Biosystems, Foster City, USA), according to the manufacturer’s instructions [15]. In addition, all EV-positive samples were amplified on the basis of partial VP1 sequences for further type identification, as described previously [15].

Full-length genome amplification

To understand the molecular epidemiology of EV in infants better, three long-distance PCR amplifications of the most common EV type in infants were obtained using the TaKaRa LA Taq® Kit (Dalian, China). The primers used for RT-PCR are listed in Additional file 1: Table S1, and the full-length genome was sequenced using the “primer-walking” strategy. Finally, complete nucleotide sequences of selected strains were obtained by assembling the sequenced fragments, which were eventually submitted to GenBank (accession numbers: MW883610 to MW883614).

Phylogenetic and recombination analysis

Multiple sequence alignments were performed using the ClustalX, and phylogenetic trees were drawn using the neighbor-joining method via MEGA X [16]. Bootstrap analyses with 1000 re-samplings were performed to determine the confidence values for groupings within the phylogenetic trees. The SimPlot and Bootscan analyses were performed using SimPlot 3.5.1 with a 500-nucleotide window moving in steps of 20 nucleotides [17]. Evolutionary divergence of the 5ʹ UTR, four viral capsid proteins (VP1–VP4), and seven non-structural proteins (2A–2C and 3A–3D) between the selected strains and 64 reference strains from the GenBank was estimated via MEGA X using the Kimura 2-parameter model [16]. Heatmap of the 5ʹ UTR, VP1–VP4, 2A–2C, and 3A–3D genes was created based on evolutionary divergences.

Statistical analysis

Descriptive statistical analysis for population characteristics in the study and clinical findings was performed using SPSS 22.0. Categorical variables are reported as frequencies and percentages after comparison using the chi-square test or Fisher’s exact test. The quantitative data are presented as the median (interquartile range, IQR) and were compared using the nonparametric rank-sum test (Kruskal–Wallis test). Odds ratio (OR) and 95% confidence intervals (95% CIs) were used to estimate the risk factors of severe infection using SPSS 22.0, a multiple logistic regression analysis.

Results

Demographic characteristics and seasonal distribution

A total of 115 children, hospitalized with laboratory-confirmed EV infections between January and December 2019, were included in the study (Fig. 1). The median age was 10.0 months (IQR 0.7–19.0), and 75 (65.2%) participants were males. Fifty (43.5%) participants were infants aged 0–3 months [median age 21 days (IQR 12–27)], and 65 (56.5%) were children older than 3 months [median age 17.0 months (13.0–26.5)].
Since the incidence and types of EV infection are influenced by seasonal cycles, we checked the monthly variation (Fig. 2a). A total of 109 (94.8%) hospitalizations occurred from March to October, and the number of cases peaked from April to June. However, there was a significant difference in seasonal changes in the occurrence of EV infection between infants aged 0–3 months and children older than 3 months. A peak (mainly caused by E11) was observed in the infant group from April to July, with no case thereafter. On the contrary, two peaks were observed in the number of cases in the children group. The first peak was unexpected, appearing in April; the second peak appeared in August.

Type distribution

Two EV species, comprising of 14 different types, accounted for all the 115 reports over this period. EV-A types, including CVA6 [43 (37.4%) of 115], CVA4 [14 (12.2%)], CVA16 [6 (5.2%)], CVA10 [2 (1.7%)], and CVA5 [1 (0.9%)], were identified in 66 (57.4%) cases. EV-B, accounting for the remaining 49 (43.6%) cases, included E11 [30 (26.1%)], E18 [6 (5.2%)], CVA9 [3 (2.6%)], E25 [2 (1.7%)], E9 [2 (1.7%)], CVB3 [2 (1.7%)], CVB2 [2 (1.7%)], E3 [1 (0.9%)], and E6 [1 (0.9%)]. The median age of EV-B infections was 21 days (IQR 12–27), which was significantly less than the 16.5 months (IQR 13.0–26.0) observed for EV-A infections (p < 0.001).
The species of EV infecting at different ages were significantly different (Fig. 2b). EV-B was detected more frequently in infants aged 0–3 months than in older children [44 (88.0%) of 50 vs. 5 (7.7%) of 65, p < 0.001]. However, EV-A was more common in children older than 3 months [60 (92.3%) of 65 vs. 6 (12.0%) of 50, p < 0.001], and only 5 (7.7%) were infected with EV-B. E11 was the predominant serotype identified in 29 (58.0%) of the 50 infants, with a noticeably higher proportion than that in older children [1 (1.5%) of 65] (p < 0.001). Additionally, E18 was detected in five (10.00%) infants, whereas only one such case (1.5%) was found in older children. However, CVA6 was the most commonly observed serotype in older children [42 (64.6%) of 65], followed by CVA4 [10 (15.4%)] and CVA16 [6 (9.2%)].

Clinical analysis

Clinical case files of the 115 patients, with symptoms registered by the pediatrician upon hospital admission, were carefully analyzed, according to age and EV species (Table 1 and Additional file 2: Table S2). The patients showed typical signs and symptoms, including fever [103 (89.6%) of 115], rash [60 (52.2%)], tachycardia [40 (34.8%)], coughing [37 (32.2%)], convulsions [28 (24.3%)], and diarrhea [23 (20.0%)]. However, presentation with fever, rash, tachycardia, coughing, vomiting, startle, and convulsions was significantly less common among infants aged 0–3 months than in children older than 3 months (all p < 0.01). Although the clinical features of infants aged 0–3 months were not typical, the median days of hospital stay were significantly longer than those of older children [13 (IQR7–17) vs. 5 (IQR 4–7), p < 0.001].
Table 1
Clinical characteristics of children with EV infection according to age, Guangzhou, China, 2019
 
All cases, n = 115
0–3 months, n = 50
 > 3 months, n = 65
p
Age (months)
10.0 (0.7–19.0)
0.7 (0.4–0.9)
17.0 (13.0–26.5)
N.D
Male sex
75 (65.2%)
29 (58.0%)
46 (70.8%)
N.S
Days of hospitalization
6 (4–13)
13 (7–17)
5 (4–7)
 < 0.001
Clinical symptoms
Fever (≥ 38℃)
103 (89.6%)
40 (80.0%)
63 (96.9%)
0.003
Rash
60 (52.2%)
4 (8.0%)
56 (86.2%)
N.S
Tachycardiaa
40 (34.8%)
10 (20.0%)
30 (46.2%)
0.004
Lethargy
2 (1.7%)
1 (2.0%)
1 (1.5%)
N.S
Coughing
37 (32.2%)
8 (16.0%)
29 (44.6%)
0.001
Diarrhea
23 (20.0%)
7 (14.0%)
16 (24.6%)
N.S
Vomiting
15 (13%)
1 (2.0%)
14 (21.5%)
0.002
Pruritus
6 (5.2%)
0 (0.0%)
6 (9.2%)
N.S
Startle
12 (10.4%)
0 (0.0%)
12 (18.5%)
0.001
Convulsions
28 (24.3%)
2 (4.0%)
26 (40%)
 < 0.001
Impaired consciousness
7 (6.1%)
5 (10.0%)
2 (3.1%)
N.S
Hand-foot-mouth disease
59 (51.3%)
1 (2.0%)
58 (89.2%)
 < 0.001
Pneumonia
44 (38.3%)
34 (68.0%)
10 (15.4%)
 < 0.001
Aseptic meningitis
36 (31.3%)
28 (56.0%)
8 (12.3%)
 < 0.001
Encephalitis
6 (5.2%)
3 (6.0%)
3 (4.6%)
N.S
Sepsis
19 (16.5%)
14 (28.0%)
5 (7.7%)
0.004
Myocarditis
11 (9.6%)
8 (16.0%)
3 (4.6%)
N.S
Gastrointestinal dysfunction
23 (20%)
11 (22.0%)
12 (18.5%)
N.S
Hepatitis
8 (7.0%)
6 (12.0%)
2 (3.1%)
N.S
Pulmonary edema
3 (2.6%)
1 (2.0%)
2 (3.1%)
N.S
Severe infection
62 (53.9%)
39 (78.0%)
23 (35.4%)
 < 0.001
Number of deaths
2 (1.7%)
1 (2.0%)
1 (1.5%)
N.S
aTachycardia: age 0–3 months old, heart rate ≥ 140 times per minute, 4–12 months old, heart rate ≥ 130 times per minute, 1–3 years old, heart rate ≥ 120 times per minute, 4–7 years old, heart rate ≥ 100 times per minute, 8–14 years old, heart rate ≥ 90 times per minute
N.S. No significant; N.D. Not detected
The disease spectrum of patients with EV infection varied in this study. HFMD [59 (51.3%) of 115], pneumonia [44 (38.3%)], meningitis [36 (31.3%)], sepsis [19 (16.5%)], and gastrointestinal dysfunction [23 (20.0%)] were the main disorders frequently observed in 115 patients. Of the 59 patients who fulfilled the definition of HFMD, 55 (93.2%) cases were caused by EV-A, and four (6.8%) were caused by EV-B. Majority [58 (98.3%) of 59] of HFMD cases were children older than 3 months, and only one was an infant. However, the infants aged 0–3 months had significantly higher prevalence rates of pneumonia [34 (68.0%), 50 vs. 10 (15.4%) of 65, p < 0.01], meningitis [28 (56.0%) vs. 8 (12.3%), p < 0.001], and sepsis [14 (28.0%) vs. 5 (7.7%), p < 0.001] than older children. Hepatitis occurred in six (5.2%) infants and two (1.7%) children, and all the cases were associated with EV-B infections.
A total of 62 (53.9%) cases were classified as having severe disease, of whom 39 (62.9%) were infants. Thus, the incidence of severe EV-B-associated infection was 73.5% (36 of 49), which was significantly higher than the 39.4% (26 of 66) of EV-A infections (p < 0.001). Notably, two EV-B-associated individuals died after the onset of the disease; one 5-day-old infant was infected with CVB3, and died of pulmonary edema and subventricular hemorrhage after 28 days of ventilator support, and another (7-month-old) was infected by E18, and died of brain edema.

Laboratory parameters of blood and CSF

Blood test results, according to age and EV serotypes, are presented in Table 2. Compared to older children, infants aged 0–3 months had higher neutrophil counts, lymphocyte counts, and lactate dehydrogenase (LDH) levels (all p < 0.05). Additionally, the levels of inflammatory markers like C-reaction protein (CRP) in older children were significantly higher than those in the infant group [15.3 mg/L (IQR 4.7–31.5) vs. 3.5 mg/L (1.0–18.5), p = 0.004].
Table 2
Laboratory tests from the patients with EV infection, Guangzhou, China, 2019
Blood characteristics
All cases
0–3 months
 > 3 months
p
n = 115
n = 50
n = 65
N.D
WBC (3.5–9.5 × 109/L)
11.0 (7.4–13.8)
11.1 (8.6–13.9)
10.7 (7.2–13.3)
N.S
NEUT (1.8–6.3 × 109/L)
5.4 (3.1–8.6)
4.3 (2.7–6.9)
6.2 (3.5–9.5)
0.048
LYMPH (1.1–3.2 × 109/L)
3.3 (2–4.8)
4.2 (2.8–5.6)
2.6 (1.6–3.8)
0.006
PLT (125–350 × 109/L)
315 (255–403)
333 (261–432)
308 (249–383)
N.S
PCT (0–0.1 ng/mL)
0.2 (0.1–0.6)
0.2 (0.1–0.8)
0.2 (0.1–0.5)
N.S
CRP (0–10 mg/L)
10.1 (2.5–23.9)
3.5 (1.0–18.5)
15.3 (4.7–31.5)
0.004
ALT (9–40 U/L)
25 (18–33)
28.5 (21–42)
24 (17–31)
N.S
AST (15–40 U/L)
37 (31–49)
38 (30–57)
37 (32–47)
N.S
UA (208–428 μmol/L)
202 (154–304)
170 (133–212)
250 (190–337)
0.007
LDH (313–618 U/L)
629 (326–774)
716 (375–1075)
587 (299–695)
0.002
CK (40–200 U/L)
86 (63–141)
84 (60–115)
97 (64–159)
N.S
GLU (3.3–5.6 mmol/L)
5.8 (5.0–6.9)
5.8 (4.9–7.8)
5.9 (5.1–6.5)
N.S
CSF characteristics
All cases
0–3 months
 > 3 months
p
n = 60
n = 33
n = 27
N.D
WBC
3.0 (1.0–16.0)
8.0(3.0–48.0)
1.0 (0–2.5)
 < 0.001
Pleocytosis (%)
30.0 (18/60)
42.4 (14/33)
14.8 (4/27)
0.020
Protein (mg/dL)a
494 (167–935)
921 (629–1084)
151 (100–212)
 < 0.001
Elevated protein (%)
35.0 (21/60)
63.6 (21/33)
0
 < 0.001
LDH (U/L)
100 (60–124)
104 (50–149)
100 (100–104)
N.S
Cl (mmol/L)
121 (119–124)
122 (120–123)
121 (118–124)
N.S
Glucose (mg/dL)
2.9 (2.3–3.4)
2.4 (1.9–2.9)
3.3 (3.1–3.8)
 < 0.001
Low CSF glucose (%)
41.7 (25/60)
69.7 (23/33)
7.4 (2/27)
 < 0.001
Positive rate of EV (%)b
84.5 (153/181)
91.2 (83/91)
77.8 (70/90)
0.012
Stool (%)
100 (115/115)
100 (50/50)
100 (65/65)
N.S
Plasma (%)
90.9 (10/11)
90.9 (10/11)
0
N.D
CSF (%)
50.91 (28/55)
76.7 (23/30)
20.0 (5/25)
 < 0.001
aCSF protein concentration was classified as normal if it was ≤ 900 mg/dL for newborn babies (aged ≤ 28 days) and ≤ 450 mg/dL for older children (aged > 28 days); bEV-RNA detected in stool, plasma, and CSF samples by fluorescence PCR
EV Enterovirus; WBC White blood cell; NEUT Neutrophils; LYMPH Lymphocytes; PLT Platelets; PCT Procalcitonin; CRP C-reactive protein; ALT Alanine aminotransferase; AST Aspartate aminotransferase; UA Uric acid; LDH Lactate dehydrogenase; CK Creatine kinase; GLU Glucose; CSF Cerebrospinal fluid; Cl Chloride; N.S. No significant; N.D. Not detected
CSF parameters according to EV type and age are shown in Table 2. In this study, a total of 60 CSF samples from 33 infants (aged 0–3 months) and 27 older children were included. CSF pleocytosis, elevated protein levels, and low CSF glucose were significantly more common in infants than in children (all p < 0.001). In addition, the positive rate of EV in CSF samples from young infants was 76.7% (23 of 30), which was significantly higher than the 20.0% (5 of 25) in the children group (p < 0.001).

Risk factors for severe infection

In this study, among the 115 patients with EV infections, 62 (53.9%) developed severe disease. Risk factors were analyzed between severe and non-severe EV infections by multiple logistic regression analysis using the forward stepwise logistic regression model. As shown in Table 3, severe EV infection was associated with the following factors: infection by EV-B (OR 4.260, 95% CI 1.907–9.517), young age, less than 3 months (OR 6.474, 95% CI 2.794–15.002), abnormal platelet count (OR 2.745, 95% CI 1.278–5.897), and ALT level > 40 U/L (OR 3.064, 95% CI 1.031–9.105). Additionally, abnormal CSF characteristics, including EV positivity (OR 12.071, 95% CI 2.379–61.261), elevated protein (OR 13.913, 95% CI 1.691–114.447), and pleocytosis (OR 9.481, 95% CI 5.633–27.413) were also independent predictors of severe infection.
Table 3
Multinomial logistic regression analysis of risk factors for severe EV infection
Factors
β-coefficient
OR
95%CI
p
EV-B infection
1.449
4.26
1.907–9.517
 < 0.001
Age less than 3 months
1.868
6.474
2.794–15.002
 < 0.001
Abnormal platelets count
1.01
2.745
1.278–5.897
0.010
Elevated ALT
1.12
3.064
1.031–9.105
0.044
CSF characteristics
Positive of EVa
2.491
12.071
2.379–61.261
0.003
Elevated protein
2.633
13.913
1.691–114.447
0.014
Pleocytosis
2.249
9.481
5.633–27.413
0.037
aEV-RNA detected by fluorescence PCR
OR Odds ratio; CI Confidence interval; EV Enterovirus; ALT Alanine aminotransferase; CSF Cerebrospinal fluid

Phylogenetic analysis of EV-B types

To understand the molecular epidemiology of EV-B types better, a portion of the VP1 gene from all 49 viruses isolated from EV-B infections was amplified and selected for phylogenetic analysis (Fig. 3). The phylogenetic tree indicated that all 30 E11 strains were closely related to viruses detected in China and the USA in 2018. Additionally, all six E18 strains showed high homology with the strains isolated from the Yunnan, Jiangsu, Hebei, and Sichuan provinces of China in 2015 and 2016.

Complete genome sequence analysis of E11

To help determine the evolution of predominant EV type in infants aged 0–3 months during the study year, we randomly performed full-length genome sequencing of E11 from five infants. Phylogenetic analysis revealed that all five E11 strains that circulated in Guangzhou city during 2019 clustered monophyletically with the E11 strains (MN597937 and MN597943) isolated from sewage samples in 2018 in Guangzhou city.
Based on the heatmap results of evolutionary divergence between E11 sequence and other closely related EV sequences, we found that the nucleotide sequences of 5ʹ UTR, VP1–VP4, 2A, and 2B regions of E11 strains displayed higher sequence identity with the strains (MN597927, MN597948, MN597926, and MN597950) isolated in Guangzhou city in 2018, whereas 2C and 3A–3D genes showed minimum evolutionary divergence with E6 strains from Jiangsu province (MK791151) and Zhejiang province (MN145871) of China in 2018 (Fig. 4a). The highest similarity of 2C and 3A–3D regions with E6 suggested possible recombination.
Similarity plot and bootscanning were conducted between E11 and E6 strains to investigate the recombination phenomenon. Simplot analyses (Fig. 4b) showed that all five E11 strains in our study displayed the highest degree of identity with four E11 strains (MN597927, MN597948, MN597926, and MN597950) in the 5ʹ UTR and P1 (VP1–VP4) regions, and that similarity in the P2 (2B–2C) region decreased sharply. Thus, it was evident that recombination events with the E6 strain (MN597937 and MN597943) occurred partially in the P2 and P3 genomic regions. Furthermore, the Bootscan plot (Fig. 4c) indicated E11 strains in our study had a closer evolutionary relationship with E6 strains in the P2 and P3 genomic regions, with a sequence similarity of over 70.0%.

Discussion

This study showed that seasonal variations in EV infections with respect to age were evident. Most infants aged 0–3 months had a seasonal pattern of infections. They presented during summer, with a peak from April to July, which was apparently different from the epidemic features in older children, and consistent with previous studies [4, 11, 18]. Our current study also showed that the circulating EV types, affecting each age range, differed substantially. The most common EV detected in children older than 3 months was EV-A, whereas EV-B, represented by the E11 type, was significantly more frequent in younger infants. In the USA and Europe, EV-B is the one most commonly reported in neonates [12, 13, 19, 20].
EV infection in neonates can present with clinical symptoms, ranging from asymptomatic, non-specific febrile illness to severe, life-threatening disease, and it is difficult to distinguish from non-EV infection based on the clinical signs only. In this study, fever was the most common symptom in both infants aged 0–3 months and older children. However, the other clinical symptoms, including rashes, tachycardia, coughing, vomiting, startle, and convulsions, frequently observed in children with HFMD, were not typical for infants, as suggested in earlier retrospective studies [13, 21]. Rashes are often suggested as a diagnostic basis for viral infection. However, only 6.0–27.3% of cases of infants with EV infection have been reported with rashes [4, 13, 22]. In this study, only 8% (4/50) of the infants developed cutaneous rashes. As an important indication of host inflammation in viral infection, less frequent rashes make the early clinical diagnosis of EV infection difficult for neonatologists.
Severe illnesses due to EV are commonly seen in neonates; mortality is exceptionally high when meningitis, myocarditis, and hepatitis occur [4, 13, 23]. More than three-quarters of neonates were diagnosed with severe infection in this study, particularly in the first two weeks of life. Meningitis, sepsis, pneumonia, myocarditis, and/or hepatitis are the most common clinical presentations. In contrast, only 35.4% of children older than 3 months showed severe infection. Meningitis is often associated with age-specific pleocytosis and/or neurological symptoms. Previous studies had shown that EVs can invade the central nervous system and disrupt the blood–brain barrier, resulting in more than 75% of meningitis cases, some of which are life-threatening [7, 13, 24]. In our study, out of 36 patients with meningitis, 28 (77.8%) were infants aged 0–3 months. It could be due to the immature brain of neonates and their imperfect blood–brain barrier. A higher detection rate of 76.7% (23 of 30) for EVs in CSF samples available from 30 neonates further substantiated this finding.
Pneumonia is the most common comorbidity in lower respiratory tract-EV-B infection, and can be rapidly progressive, leading to severe pneumonia [25]. In this study, more than one-third (44/115) cases were accompanied by pneumonia. EV-B types were the predominant pathogens in patients with pneumonia. Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection associated with a wide range of pathogens, and pediatricians frequently encounter it in young infants [13, 19, 26]. Hepatitis is often associated with EV-B infections, and mortality is especially high when it occurs concomitantly with myocarditis [27]. In this study, a total of 8 cases (6 infants and 2 children) developed symptoms of hepatitis during hospitalization, and all were associated with EV-B infection.
Understanding the risk factors and monitoring the parameters associated with severe infection may lead to effective prophylaxis and prompt aggressive treatment to reduce morbidity and mortality. Infection with EV-B and younger age are considered the major risk factors for developing severe infections [5]. A retrospective study on 2356 infants with known EV types during 1983–2003 reported that CVB1–5 and E11 have an increased risk of neonatal infection, with CVB4 being associated with the highest mortality rate of 40% [28]. In our study, we found that EV-B infection and age less than 3 months increased the risk of EV infection 4.260-fold and 6.474-fold, respectively. Moreover, of the two deceased children, one was positive for CVB3 and the other was for E18, which illustrated that EV-B infection is a major risk factor. Notably, the mother of the 7-month-old child was also positive for E18 as per stool sample test, with 100% similarity in VP1 gene compared to that of the children, but showed no obvious clinical symptom. Previous studies had shown that transmission of EVs from mother to infant is relatively common, occurring in 30–50% of cases [23, 29, 30].
Xiao-Qing Lv et al. had previously reported that an abnormal platelet count could be an independent predictor of severe EV infection [31]. Our results also showed that if the platelet count was abnormal, the risk of severe infection was increased 2.745-fold. Furthermore, abnormal CSF test result, such as pleocytosis, constituted a significant risk factor for developing severe EV infection, as observed by previous investigators [32], and elevated protein levels and pleocytosis in CSF increased the risk of severe infection 13.913-fold and 9.481-fold, respectively. Moreover, we elucidated that the positive result of EV in CSF was an independent predictor of severe infection, and the OR increased to 12.071.
Genomic recombination is a major driving force in the evolution, diversification, and shaping of genetic architecture of EVs [33], and time-correlated recombination events of EV-B are more frequent than those of other human EV species [34]. However, until recently, only limited complete genome sequences of E11 strains were available in the public database, with most of them coming from non-clinical isolates. In this study, we obtained 5 full-length E11 genomes, analyzed their phylogenetic characteristics, and found homologous recombination events to have occurred with E6 strains in China in 2018. Multiple phylogenetic studies presented previously provided evidence that RNA recombination of EVs only occurred throughout the entire non-structural region, and recombination sites were mainly located in region P2 [3336]; notably, the recombination site was in the junction between 2B and 2C, as per our study. These observations suggested that non-structural proteins may be functionally interchangeable with other variants within EVs. Furthermore, in the infected host, effective recombination events are critical for RNA viruses to overcome tissue-type specific antiviral selection, establish robust infection and virulence, and adapt rapidly to dynamic selective environments [37, 38]. However, the changes in phenotypic characteristics of E11 recombination, including their fitness and pathogenicity, need to be investigated further.

Conclusions

In summary, EV affects infants aged 0–3 months differently and more severely than in older children. Clinical manifestations in infants with EV mainly included meningitis, sepsis, pneumonia, and even death. EV-B types were the most common in neonatal EV infection, and recombination events were observed in the P2 and P3 regions of predominant type E11 with E6 from China. In addition, we identified independent predictors of severe EV infection, including EV-B infection, age less than 3 months, elevated ALT level, abnormal platelet count, and abnormal CSF characteristics. Taken together, EV-B infections should be routinely considered in neonates with meningitis, sepsis, and pneumonia, with or without a rash, particularly during EV season.

Acknowledgements

The authors would like to thank all clinicians and other medical staff who helped collect the samples and clinical data.

Declarations

The study protocol was approved by the ethics committee of the Guangdong Women and Children Hospital (ref. 202101324). Requirement of written informed consent was waived, since virological testing in patients who underwent regular medical examination at the hospital was a routine diagnostic procedure. All information collected from patients was delinked from individual patient identifiers. This study was performed in accordance with the Helsinki Declaration of 1964, and its later amendments.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Nasri D, Bouslama L, Pillet S, Bourlet T, Aouni M, Pozzetto B. Basic rationale, current methods and future directions for molecular typing of human enterovirus. Expert Rev Mol Diagn. 2007;7:419–34.CrossRef Nasri D, Bouslama L, Pillet S, Bourlet T, Aouni M, Pozzetto B. Basic rationale, current methods and future directions for molecular typing of human enterovirus. Expert Rev Mol Diagn. 2007;7:419–34.CrossRef
2.
Zurück zum Zitat Simmonds P, Gorbalenya AE, Harvala H, Hovi T, Knowles NJ, Lindberg AM, Oberste MS, Palmenberg AC, Reuter G, Skern T, et al. Recommendations for the nomenclature of enteroviruses and rhinoviruses. Arch Virol. 2020;165:793–7.CrossRef Simmonds P, Gorbalenya AE, Harvala H, Hovi T, Knowles NJ, Lindberg AM, Oberste MS, Palmenberg AC, Reuter G, Skern T, et al. Recommendations for the nomenclature of enteroviruses and rhinoviruses. Arch Virol. 2020;165:793–7.CrossRef
3.
Zurück zum Zitat Pons-Salort M, Parker EP, Grassly NC. The epidemiology of non-polio enteroviruses: recent advances and outstanding questions. Curr Opin Infect Dis. 2015;28:479–87.CrossRef Pons-Salort M, Parker EP, Grassly NC. The epidemiology of non-polio enteroviruses: recent advances and outstanding questions. Curr Opin Infect Dis. 2015;28:479–87.CrossRef
4.
Zurück zum Zitat Berardi A, Sandoni M, Toffoli C, Boncompagni A, Gennari W, Bergamini MB, Lucaccioni L, Iughetti L. Clinical characterization of neonatal and pediatric enteroviral infections: an Italian single center study. Ital J Pediatr. 2019;45:94.CrossRef Berardi A, Sandoni M, Toffoli C, Boncompagni A, Gennari W, Bergamini MB, Lucaccioni L, Iughetti L. Clinical characterization of neonatal and pediatric enteroviral infections: an Italian single center study. Ital J Pediatr. 2019;45:94.CrossRef
5.
Zurück zum Zitat Abzug MJ. Presentation, diagnosis, and management of enterovirus infections in neonates. Paediatr Drugs. 2004;6:1–10.CrossRef Abzug MJ. Presentation, diagnosis, and management of enterovirus infections in neonates. Paediatr Drugs. 2004;6:1–10.CrossRef
6.
Zurück zum Zitat Solomon T, Lewthwaite P, Perera D, Cardosa MJ, McMinn P, Ooi MH. Virology, epidemiology, pathogenesis, and control of enterovirus 71. Lancet Infect Dis. 2010;10:778–90.CrossRef Solomon T, Lewthwaite P, Perera D, Cardosa MJ, McMinn P, Ooi MH. Virology, epidemiology, pathogenesis, and control of enterovirus 71. Lancet Infect Dis. 2010;10:778–90.CrossRef
7.
Zurück zum Zitat Ooi MH, Wong SC, Lewthwaite P, Cardosa MJ, Solomon T. Clinical features, diagnosis, and management of enterovirus 71. Lancet Neurol. 2010;9:1097–105.CrossRef Ooi MH, Wong SC, Lewthwaite P, Cardosa MJ, Solomon T. Clinical features, diagnosis, and management of enterovirus 71. Lancet Neurol. 2010;9:1097–105.CrossRef
8.
Zurück zum Zitat World Health Organization. A guide to clinical management and public health response for hand, foot and mouth disease (HFMD). World Health Organization. A guide to clinical management and public health response for hand, foot and mouth disease (HFMD).
9.
Zurück zum Zitat Xing W, Liao Q, Viboud C, Zhang J, Sun J, Wu JT, Chang Z, Liu F, Fang VJ, Zheng Y, et al. Hand, foot, and mouth disease in China, 2008–12: an epidemiological study. Lancet Infect Dis. 2014;14:308–18.CrossRef Xing W, Liao Q, Viboud C, Zhang J, Sun J, Wu JT, Chang Z, Liu F, Fang VJ, Zheng Y, et al. Hand, foot, and mouth disease in China, 2008–12: an epidemiological study. Lancet Infect Dis. 2014;14:308–18.CrossRef
10.
Zurück zum Zitat Holmes CW, Koo SS, Osman H, Wilson S, Xerry J, Gallimore CI, Allen DJ, Tang JW. Predominance of enterovirus B and echovirus 30 as cause of viral meningitis in a UK population. J Clin Virol. 2016;81:90–3.CrossRef Holmes CW, Koo SS, Osman H, Wilson S, Xerry J, Gallimore CI, Allen DJ, Tang JW. Predominance of enterovirus B and echovirus 30 as cause of viral meningitis in a UK population. J Clin Virol. 2016;81:90–3.CrossRef
11.
Zurück zum Zitat Kadambari S, Okike I, Ribeiro S, Ramsay ME, Heath PT, Sharland M, Ladhani SN. Seven-fold increase in viral meningo-encephalitis reports in England and Wales during 2004–2013. J Infect. 2014;69:326–32.CrossRef Kadambari S, Okike I, Ribeiro S, Ramsay ME, Heath PT, Sharland M, Ladhani SN. Seven-fold increase in viral meningo-encephalitis reports in England and Wales during 2004–2013. J Infect. 2014;69:326–32.CrossRef
12.
Zurück zum Zitat Abedi GR, Watson JT, Nix WA, Oberste MS, Gerber SI. Enterovirus and parechovirus surveillance - United States, 2014–2016. MMWR Morb Mortal Wkly Rep. 2018;67:515–8.CrossRef Abedi GR, Watson JT, Nix WA, Oberste MS, Gerber SI. Enterovirus and parechovirus surveillance - United States, 2014–2016. MMWR Morb Mortal Wkly Rep. 2018;67:515–8.CrossRef
13.
Zurück zum Zitat Lafolie J, Labbe A, L’Honneur AS, Madhi F, Pereira B, Decobert M, Adam MN, Gouraud F, Faibis F, Arditty F, et al. Assessment of blood enterovirus PCR testing in paediatric populations with fever without source, sepsis-like disease, or suspected meningitis: a prospective, multicentre, observational cohort study. Lancet Infect Dis. 2018;18:1385–96.CrossRef Lafolie J, Labbe A, L’Honneur AS, Madhi F, Pereira B, Decobert M, Adam MN, Gouraud F, Faibis F, Arditty F, et al. Assessment of blood enterovirus PCR testing in paediatric populations with fever without source, sepsis-like disease, or suspected meningitis: a prospective, multicentre, observational cohort study. Lancet Infect Dis. 2018;18:1385–96.CrossRef
14.
Zurück zum Zitat Chen X, Li J, Guo J, Xu W, Sun S, Xie Z. An outbreak of echovirus 18 encephalitis/meningitis in children in Hebei Province, China, 2015. Emerg Microbes Infect. 2017;6: e54.CrossRef Chen X, Li J, Guo J, Xu W, Sun S, Xie Z. An outbreak of echovirus 18 encephalitis/meningitis in children in Hebei Province, China, 2015. Emerg Microbes Infect. 2017;6: e54.CrossRef
15.
Zurück zum Zitat Xie J, Yang XH, Hu SQ, Zhan WL, Zhang CB, Liu H, Zhao HY, Chai HY, Chen KY, Du QY, et al. Co-circulation of coxsackieviruses A-6, A-10, and A-16 causes hand, foot, and mouth disease in Guangzhou city, China. BMC Infect Dis. 2020;20:271.CrossRef Xie J, Yang XH, Hu SQ, Zhan WL, Zhang CB, Liu H, Zhao HY, Chai HY, Chen KY, Du QY, et al. Co-circulation of coxsackieviruses A-6, A-10, and A-16 causes hand, foot, and mouth disease in Guangzhou city, China. BMC Infect Dis. 2020;20:271.CrossRef
16.
Zurück zum Zitat Stecher G, Tamura K, Kumar S. Molecular evolutionary genetics analysis (MEGA) for macOS. Mol Biol Evol. 2020;37:1237–9.CrossRef Stecher G, Tamura K, Kumar S. Molecular evolutionary genetics analysis (MEGA) for macOS. Mol Biol Evol. 2020;37:1237–9.CrossRef
17.
Zurück zum Zitat Zhang H, Zhao Y, Liu H, Sun H, Huang X, Yang Z, Ma S. Molecular characterization of two novel echovirus 18 recombinants associated with hand-foot-mouth disease. Sci Rep. 2017;7:8448.CrossRef Zhang H, Zhao Y, Liu H, Sun H, Huang X, Yang Z, Ma S. Molecular characterization of two novel echovirus 18 recombinants associated with hand-foot-mouth disease. Sci Rep. 2017;7:8448.CrossRef
18.
Zurück zum Zitat Cabrerizo M, Díaz-Cerio M, Muñoz-Almagro C, Rabella N, Tarragó D, Romero MP, Pena MJ, Calvo C, Rey-Cao S, Moreno-Docón A, et al. Molecular epidemiology of enterovirus and parechovirus infections according to patient age over a 4-year period in Spain. J Med Virol. 2017;89:435–42.CrossRef Cabrerizo M, Díaz-Cerio M, Muñoz-Almagro C, Rabella N, Tarragó D, Romero MP, Pena MJ, Calvo C, Rey-Cao S, Moreno-Docón A, et al. Molecular epidemiology of enterovirus and parechovirus infections according to patient age over a 4-year period in Spain. J Med Virol. 2017;89:435–42.CrossRef
19.
Zurück zum Zitat Khetsuriani N, Lamonte-Fowlkes A, Oberst S, Pallansch MA. Centers for disease C, prevention: enterovirus surveillance–United States, 1970–2005. MMWR Surveill Summ. 2006;55:1–20. Khetsuriani N, Lamonte-Fowlkes A, Oberst S, Pallansch MA. Centers for disease C, prevention: enterovirus surveillance–United States, 1970–2005. MMWR Surveill Summ. 2006;55:1–20.
20.
Zurück zum Zitat Cabrerizo M, Diaz-Cerio M, Munoz-Almagro C, Rabella N, Tarrago D, Romero MP, Pena MJ, Calvo C, Rey-Cao S, Moreno-Docon A, et al. Molecular epidemiology of enterovirus and parechovirus infections according to patient age over a 4-year period in Spain. J Med Virol. 2017;89:435–42.CrossRef Cabrerizo M, Diaz-Cerio M, Munoz-Almagro C, Rabella N, Tarrago D, Romero MP, Pena MJ, Calvo C, Rey-Cao S, Moreno-Docon A, et al. Molecular epidemiology of enterovirus and parechovirus infections according to patient age over a 4-year period in Spain. J Med Virol. 2017;89:435–42.CrossRef
21.
Zurück zum Zitat Cheng HY, Huang YC, Yen TY, Hsia SH, Hsieh YC, Li CC, Chang LY, Huang LM. The correlation between the presence of viremia and clinical severity in patients with enterovirus 71 infection: a multi-center cohort study. BMC Infect Dis. 2014;14:417.CrossRef Cheng HY, Huang YC, Yen TY, Hsia SH, Hsieh YC, Li CC, Chang LY, Huang LM. The correlation between the presence of viremia and clinical severity in patients with enterovirus 71 infection: a multi-center cohort study. BMC Infect Dis. 2014;14:417.CrossRef
22.
Zurück zum Zitat Verboon-Maciolek MA, Krediet TG, Gerards LJ, de Vries LS, Groenendaal F, van Loon AM. Severe neonatal parechovirus infection and similarity with enterovirus infection. Pediatr Infect Dis J. 2008;27:241–5.CrossRef Verboon-Maciolek MA, Krediet TG, Gerards LJ, de Vries LS, Groenendaal F, van Loon AM. Severe neonatal parechovirus infection and similarity with enterovirus infection. Pediatr Infect Dis J. 2008;27:241–5.CrossRef
23.
Zurück zum Zitat Lin TY, Kao HT, Hsieh SH, Huang YC, Chiu CH, Chou YH, Yang PH, Lin RI, Tsao KC, Hsu KH, Chang LY. Neonatal enterovirus infections: emphasis on risk factors of severe and fatal infections. Pediatr Infect Dis J. 2003;22:889–94.CrossRef Lin TY, Kao HT, Hsieh SH, Huang YC, Chiu CH, Chou YH, Yang PH, Lin RI, Tsao KC, Hsu KH, Chang LY. Neonatal enterovirus infections: emphasis on risk factors of severe and fatal infections. Pediatr Infect Dis J. 2003;22:889–94.CrossRef
24.
Zurück zum Zitat Martin NG, Iro MA, Sadarangani M, Goldacre R, Pollard AJ, Goldacre MJ. Hospital admissions for viral meningitis in children in England over five decades: a population-based observational study. Lancet Infect Dis. 2016;16:1279–87.CrossRef Martin NG, Iro MA, Sadarangani M, Goldacre R, Pollard AJ, Goldacre MJ. Hospital admissions for viral meningitis in children in England over five decades: a population-based observational study. Lancet Infect Dis. 2016;16:1279–87.CrossRef
25.
Zurück zum Zitat Hsu CH, Lu CY, Shao PL, Lee PI, Kao CL, Chung MY, Chang LY, Huang LM. Epidemiologic and clinical features of non-polio enteroviral infections in northern Taiwan in 2008. J Microbiol Immunol Infect. 2011;44:265–73.CrossRef Hsu CH, Lu CY, Shao PL, Lee PI, Kao CL, Chung MY, Chang LY, Huang LM. Epidemiologic and clinical features of non-polio enteroviral infections in northern Taiwan in 2008. J Microbiol Immunol Infect. 2011;44:265–73.CrossRef
26.
Zurück zum Zitat Rhoades RE, Tabor-Godwin JM, Tsueng G, Feuer R. Enterovirus infections of the central nervous system. Virology. 2011;411:288–305.CrossRef Rhoades RE, Tabor-Godwin JM, Tsueng G, Feuer R. Enterovirus infections of the central nervous system. Virology. 2011;411:288–305.CrossRef
27.
Zurück zum Zitat Bersani I, Auriti C, Piersigilli F, Dotta A, Diomedi-Camassei F, Di Pede A, Buttinelli G, Danhaive O. Neonatal acute liver failure due to enteroviruses: a 14 years single NICU experience. J Matern Fetal Neonatal Med. 2020;33:2576–80.CrossRef Bersani I, Auriti C, Piersigilli F, Dotta A, Diomedi-Camassei F, Di Pede A, Buttinelli G, Danhaive O. Neonatal acute liver failure due to enteroviruses: a 14 years single NICU experience. J Matern Fetal Neonatal Med. 2020;33:2576–80.CrossRef
28.
Zurück zum Zitat Khetsuriani N, Lamonte A, Oberste MS, Pallansch M. Neonatal enterovirus infections reported to the national enterovirus surveillance system in the United States, 1983–2003. Pediatr Infect Dis J. 2006;25:889–93.CrossRef Khetsuriani N, Lamonte A, Oberste MS, Pallansch M. Neonatal enterovirus infections reported to the national enterovirus surveillance system in the United States, 1983–2003. Pediatr Infect Dis J. 2006;25:889–93.CrossRef
29.
Zurück zum Zitat Modlin JF. Perinatal echovirus and group B coxsackievirus infections. Clin Perinatol. 1988;15:233–46.CrossRef Modlin JF. Perinatal echovirus and group B coxsackievirus infections. Clin Perinatol. 1988;15:233–46.CrossRef
30.
Zurück zum Zitat Khediri Z, Vauloup-Fellous C, Benachi A, Ayoubi JM, Mandelbrot L, Picone O. Adverse effects of maternal enterovirus infection on the pregnancy outcome: a prospective and retrospective pilot study. Virol J. 2018;15:70.CrossRef Khediri Z, Vauloup-Fellous C, Benachi A, Ayoubi JM, Mandelbrot L, Picone O. Adverse effects of maternal enterovirus infection on the pregnancy outcome: a prospective and retrospective pilot study. Virol J. 2018;15:70.CrossRef
31.
Zurück zum Zitat Lv XQ, Qian LH, Wu T, Yuan TM. Enterovirus infection in febrile neonates: a hospital-based prospective cohort study. J Paediatr Child Health. 2016;52:837–41.CrossRef Lv XQ, Qian LH, Wu T, Yuan TM. Enterovirus infection in febrile neonates: a hospital-based prospective cohort study. J Paediatr Child Health. 2016;52:837–41.CrossRef
32.
Zurück zum Zitat Abzug MJ, Levin MJ, Rotbart HA. Profile of enterovirus disease in the first two weeks of life. Pediatr Infect Dis J. 1993;12:820–4.CrossRef Abzug MJ, Levin MJ, Rotbart HA. Profile of enterovirus disease in the first two weeks of life. Pediatr Infect Dis J. 1993;12:820–4.CrossRef
33.
Zurück zum Zitat Muslin C, Mac Kain A, Bessaud M, Blondel B, Delpeyroux F. Recombination in enteroviruses, a multi-step modular evolutionary process. Viruses. 2019;11:1–30.CrossRef Muslin C, Mac Kain A, Bessaud M, Blondel B, Delpeyroux F. Recombination in enteroviruses, a multi-step modular evolutionary process. Viruses. 2019;11:1–30.CrossRef
34.
Zurück zum Zitat Simmonds P, Welch J. Frequency and dynamics of recombination within different species of human enteroviruses. J Virol. 2006;80:483–93.CrossRef Simmonds P, Welch J. Frequency and dynamics of recombination within different species of human enteroviruses. J Virol. 2006;80:483–93.CrossRef
35.
Zurück zum Zitat Nikolaidis M, Mimouli K, Kyriakopoulou Z, Tsimpidis M, Tsakogiannis D, Markoulatos P, Amoutzias GD. Large-scale genomic analysis reveals recurrent patterns of intertypic recombination in human enteroviruses. Virology. 2019;526:72–80.CrossRef Nikolaidis M, Mimouli K, Kyriakopoulou Z, Tsimpidis M, Tsakogiannis D, Markoulatos P, Amoutzias GD. Large-scale genomic analysis reveals recurrent patterns of intertypic recombination in human enteroviruses. Virology. 2019;526:72–80.CrossRef
36.
Zurück zum Zitat Oberste MS, Maher K, Pallansch MA. Evidence for frequent recombination within species human enterovirus B based on complete genomic sequences of all thirty-seven serotypes. J Virol. 2004;78:855–67.CrossRef Oberste MS, Maher K, Pallansch MA. Evidence for frequent recombination within species human enterovirus B based on complete genomic sequences of all thirty-seven serotypes. J Virol. 2004;78:855–67.CrossRef
37.
Zurück zum Zitat Xiao Y, Rouzine IM, Bianco S, Acevedo A, Goldstein EF, Farkov M, Brodsky L, Andino R. RNA recombination enhances adaptability and is required for virus spread and virulence. Cell Host Microbe. 2016;19:493–503.CrossRef Xiao Y, Rouzine IM, Bianco S, Acevedo A, Goldstein EF, Farkov M, Brodsky L, Andino R. RNA recombination enhances adaptability and is required for virus spread and virulence. Cell Host Microbe. 2016;19:493–503.CrossRef
38.
Zurück zum Zitat Xiao Y, Dolan PT, Goldstein EF, Li M, Farkov M, Brodsky L, Andino R. Poliovirus intrahost evolution is required to overcome tissue-specific innate immune responses. Nat Commun. 2017;8:375.CrossRef Xiao Y, Dolan PT, Goldstein EF, Li M, Farkov M, Brodsky L, Andino R. Poliovirus intrahost evolution is required to overcome tissue-specific innate immune responses. Nat Commun. 2017;8:375.CrossRef
Metadaten
Titel
Enterovirus B types cause severe infection in infants aged 0–3 months
verfasst von
Xiaohan Yang
Lei Duan
Wenli Zhan
Yuan Tang
Lihua Liang
Jia Xie
Mingyong Luo
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
Virology Journal / Ausgabe 1/2023
Elektronische ISSN: 1743-422X
DOI
https://doi.org/10.1186/s12985-023-01965-9

Weitere Artikel der Ausgabe 1/2023

Virology Journal 1/2023 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.