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Identification of infection by Chikungunya, Zika, and Dengue in an area of the Peruvian coast. Molecular diagnosis and clinical characteristics

  • José Sánchez-Carbonel1,
  • Derek Tantaléan-Yépez1,
  • Miguel Angel Aguilar-Luis1, 2, 3,
  • Wilmer Silva-Caso1, 2,
  • Pablo Weilg1,
  • Fernando Vásquez-Achaya1, 2,
  • Luis Costa4,
  • Johanna Martins-Luna1,
  • Isabel Sandoval5 and
  • Juana del Valle-Mendoza1, 2Email author
Contributed equally
BMC Research Notes201811:175

https://doi.org/10.1186/s13104-018-3290-0

Received: 13 January 2018

Accepted: 9 March 2018

Published: 14 March 2018

Abstract

Objective

To assess the presence of Dengue, Chikungunya, and Zika in serum samples of patients with acute febrile illness in Piura, Peru and describe the most common clinical features.

Results

Dengue was the most common arbovirus detected in 170/496 (34.3%), followed by Zika in 39/496 (7.9%) and Chikungunya in 23/496 (4.6%). Among the 170 samples positive for Dengue, serotype 2 was the most predominant type present in 97/170 (57.1%) of samples, followed by the serotype 3 in 9/170 (5.3%). Headaches, muscle pain, and joint pain were the most common symptoms associated with fever in patients with Dengue and Zika. No symptoms predominance was observed in patients with Chikungunya.Dengue is considered the most frequent arbovirus in Peru and the number of cases has increased dramatically in the last 5 years. However, it is not the only arbovirus that circulates along the northern coast of Peru. It has also been determined the presence of Zika and Chikungunya in our population, which may suggest the circulation of other arboviruses that have not been detected.

Keywords

PeruArbovirusDengueChikungunyaZikaPCR

Introduction

In the last years, the incidence of emerging and reemerging arboviral diseases has increased producing a serious social and economic impact in Latin America [14]. Dengue (DENV), Chikungunya (CHIKV) and Zika (ZIKV) are arboviruses of great concern due to their impact on public health especially in low-income countries [3, 5, 6].

Dengue which is considered the predominant arboviral disease in Peru has experienced a rapid prevalence increase in the last 5 years. In 2017, the number of cases has tripled compared to the previous year being the Peruvian coasts the most affected areas [7]. Piura which is located on the Northwestern coast of Peru registered 26.2% of cases in 2016 and is by far the region with the higher prevalence of DENV, followed by La Libertad (17.2%), Ayacucho (12.1%) and Loreto (10.8%) [8, 9]. However, due to the limited laboratory confirmation rate and the number of asymptomatic infected patients, data available at the national level are still limited [10].

In 2013, the first native case of Chikungunya was reported on the Caribbean Island of San Martin [11]. Furthermore, CHIKV has also experienced a rapid spread and by the year 2016 more than 152,000 cases of Chikungunya fever have been reported in Latin America, with most cases reported in Bolivia, Ecuador, Colombia, Venezuela and Peru [1214].

Zika was detected in Peru for the first time in 2016, and until now more than 865 confirmed cases have been registered [15, 16]. ZIKV have been reported in 10 of Peru’s 25 departments including Cajamarca, Ica, La Libertad, Madre de Dios, and Piura. However, the impact of Zika in the Peruvian communities has acquired special attention in the last year due to the potential effects on pregnancy. Since ZIKV was first reported in Peru, more than 200 confirmed cases of pregnant women affected by the virus have been observed [16].

The acute febrile illness which can be associated with nausea, vomiting, muscle pain, joint pain, rash, abdominal pain among others [3, 5, 6]. Therefore, laboratory confirmation has become an essential tool for the etiological diagnosis of arboviruses. In addition, molecular techniques such as PCR have proven to be the most sensitive diagnostic method for the detection and confounding of infections by DENV, ZIKV, and CHIKV [3, 17, 18].

In Peru, arboviral infections represent a major health concern [19]. Additionally, due to the limited laboratory resources etiologies such as Chikungunya or Zika are commonly misdiagnosed in dengue-endemic regions such as Piura, Peru. The present study main objective was to describe the prevalence of DENV, CHIKV, and ZIKV via real-time RT-PCR in patients with acute febrile illness from Piura, Peru.

Main text

Methods

Patients and sampling

We conducted a descriptive Cross-sectional study using convenience sampling. Data collection was performed by experienced personnel trained in the health establishments who were responsible for filling out epidemiological data sheets. The study was conducted in Piura in coordination with the “Dirección Regional de Salud de PiuraRed de Salud Morropón -Chulucanas”. Piura is a coastal region in Northwestern Peru which has been extensively recognized as an endemic area for dengue [8, 9, 19].

In this study, 496 patients with an acute febrile illness were evaluated, who met our inclusion criteria were studied from May to August 2016.

Inclusion criteria: Patients who presented to the to health establishment with acute febrile illness (greater than or equal to 38 °C axillary temperature for less than 7 days) along with one or more of the following symptoms: chills, headache, dizziness, cough, sore throat, nausea and/or vomits, loss of appetite, back pain, dysuria, myalgias, arthralgias, retro-ocular pain, rash, melena, nasal bleeding, gums bleeding, petechiae, ecchymosis, blood tinged sputum, abdominal pain, chest pain, fatigue and altered mental status.

Exclusion criteria

Patients with samples inadequately conserved, or with an incomplete data sheet.

Ethics statement

This study was approved by the Research Ethics Board of the Hospital Regional de Cajamarca, Peru. A written informed consent was signed before enrollment; for participants under 18 years old the informed consent was signed by parents or children caregivers before enrollment.

Samples

One serum sample per patient was collected by using Vacuette® TUBE Serum Separator Clot Activator (Vacuette, Greiner Bio-One, Kremsmünster, Austria); all the samples were stored at − 80 °C.

The Centers for Disease Control and Prevention (CDC, Fort Collins, CO, USA) provided positive controls for DENV, CHIKV, and ZIKV.

RNA extraction

From 200 μL of serum samples, RNA was extracted with the High Pure RNA Isolation Kit (Roche Applied Science, Mannheim, Germany), according to the manufacturer’s instructions.

Amplification by Real-time RT-PCR assay for detection DENV, CHKV and ZIKV with TaqMan probe

A one-step RT-PCR was performed using TaqMan with BHQ quencher probe at 125 nM and 250 nM of primers in a final volume of 20 μL. Five microliters of the extracted RNA was combined with 15 µL of the master mix and the reverse transcription step was performed 95 °C for 15 min, 60 cycles of 15 s at 95 °C and 45 s at 60 °C. All the procedure was performed in Light Cycler® 2.0 Instrument and data was analyzed with the LightCycler® Software 4.1 (Roche Diagnostic, Deutschland-Mannheim, Germany). The primers and the probe used for DENV, CHIKV, and ZIKV described by Leparc-Goffart et al. [20], Peyrefitte et al. [21] and Faye et al. [22], respectively.

Data analysis

Qualitative variables were reported as frequencies and percentages. All analyses were processed with the IBM Statistical Package for the Social Sciences (SPSS) software version 21.0 (SPSS, Chicago, IL, USA).

Results

A total of 496 serum samples from patients with acute febrile illness were assessed for the presence of DENV, CHIKV, and ZIKV. Most of the patients were between 20 and 44 years old (31.3%) and between 5 and 19 years old (27.8%) with no gender predominance. DENV was the most common arbovirus detected in 170/496 (34.3%), followed by ZIKV in 39/496 (7.9%) and CHIKV in 23/496 (4.6%) (Table 1).
Table 1

Demographics and PCR confirmed of DENV, ZIKV, and CHIKV in patients with acute febrile illness

Demographics

Totality of cases n = 496 (%)

PCR real time confirmed cases

DENV (n = 170)

ZIKV (n = 39)

CHIKV (n = 23)

n (%)

n (%)

n (%)

Age (years)

 0–4

39 (7.9)

10 (5.9)

4 (10.3)

4 (17.4)

 5–19

138 (27.8)

40 (23.5)

7 (17.9)

5 (21.7)

 20–44

155 (31.3)

55 (32.4)

15 (38.5)

6 (26.1)

 45–59

86 (17.3)

30 (17.6)

7 (17.9)

3 (13.0)

 ≥ 60

78 (15.7)

35 (2.9)

6 (15.4)

5 (21.7)

Gender

 Female

270 (54.4)

89 (52.4)

23 (59.0)

15 (65.2)

 Male

226 (45.6)

81 (47.6)

16 (41.0)

8 (34.8)

Furthermore, DENV positive samples were classified by serotypes 1–4 based on their amplified primers. Among the 170 samples positive for DENV, serotype 2 was clearly the most predominant type as it was present in 97/170 (57.1%) of samples, followed by the serotype 3 in 9/170 (5.3%). No serotypes 1 or 4 were detected (Table 2).
Table 2

DENV serotypes in positive samples by real time RT-PCR

Total cases of dengue n = 170 (%)

PCR real time confirmed cases

DENV 1 n (%)

DENV 2 n (%)

DENV 3 n (%)

DENV 4 n (%)

Undetermined n (%)

170 (34.3)

0 (0.0)

97 (57.1)

9 (5.3)

0 (0.0)

64 (37.6)

Clinical symptoms associated with the fever were registered by the attending physician in all 496 patients. Among the patients with DENV positive samples, headaches 89.4% (152/170), myalgia 86.5% (147/170) and arthralgia 84.1% (143/170) were the most common symptoms accompanying fever. In addition, sore throat and back pain were more common in patients with DENV. In the group of patients with positive samples for ZIKV the most frequent symptoms upon presentation were myalgias 89.7% (35/39), headaches 87.2% (34/39) and arthralgias 82.1% (32/39). For the patients with CHIKV, no symptoms predominance was observed; the most common symptoms were headaches, joint pain, loss of appetite, back pain, retro-ocular pain and muscle pain in 74–87% (Table 3).
Table 3

Clinical symptoms in patients with positive samples for DENV, ZIKV, and CHIKV

Clinical symptoms

Total n = 496 (%)

PCR real time confirmed cases

DENV (n = 170)

ZIKV (n = 39)

CHIKV (n = 23)

n (%)

n (%)

n (%)

Chills

3 (0.6)

1 (0.6)

0 (0.0)

0 (0.0)

Headache

444 (89.5)

152 (89.4)

34 (87.2)

20 (87.0)

Dizziness

1 (0.2)

0 (0.0)

1 (2.6)

0 (0.0)

Cough

1 (0.2)

1 (0.6)

0 (0.0)

0 (0.0)

Sore throat

184 (37.1)

50 (29.4)

11 (28.2)

11 (47.8)

Nausea and/or vomits

251 (50.6)

86 (50.6)

20 (51.3)

13 (56.5)

Loss of appetite

312 (62.9)

104 (61.2)

23 (59.0)

18 (78.3)

Back pain

270 (54.4)

105 (61.8)

23 (59.0)

17 (73.9)

Dysuria

1 (0.2)

0 (0.0)

0 (0.0)

0 (0.0)

Myalgia

419 (84.5)

147 (86.5)

35 (89.7)

17 (73.9)

Arthralgia

396 (79.8)

143 (84.1)

32 (82.1)

19 (82.6)

Retro-ocular pain

337 (67.9)

118 (69.4)

27 (69.2)

17 (73.9)

Rash

89 (17.9)

26 (15.3)

8 (20.5)

6 (26.1)

Melena

2 (0.4)

0 (0.0)

0 (0.0)

0 (0.0)

Nasal bleeding

9 (1.8)

3 (1.8)

1 (2.6)

1 (4.3)

Gums bleeding

3 (0.6)

2 (1.2)

1 (2.6)

0 (0.0)

Petechiae

11 (2.2)

3 (1.8)

0 (0.0)

1 (4.3)

Ecchymosis

2 (0.4)

1 (0.6)

1 (2.6)

0 (0.0)

Blood tinged sputum

1 (0.2)

0 (0.0)

0 (0.0)

0 (0.0)

Abdominal pain

22 (4.4)

7 (4.1)

1 (2.6)

1 (4.3)

Thoracic pain

5 (1.0)

2 (1.2)

0 (0.0)

0 (0.0)

Fatigue

3 (0.6)

0 (0.0)

1 (2.6)

0 (0.0)

Altered mental status

1 (0.2)

1 (0.6)

0 (0.0)

1 (4.3)

Discussion

A resurgence of arboviral diseases have been observed in Latin America and the most common etiologies are DENV, CHIKV, and ZIKV [13]. Peru is not an exception and despite the relatively new implementation of molecular techniques for the national epidemiological surveillance a high prevalence of these viruses have been reported in the last years with outbreaks primarily affecting the coasts of the country [79]. However, the low laboratory confirmation rate for the national surveillance is especially worrisome as this may lead to an underestimation of these pathogens [9, 10].

The national reports in the last 3 years have demonstrated that Piura region is an endemic area for dengue and other arboviruses [8, 9, 18]. In addition, El Niño phenomenon has produced increased rainfall and rise in temperature resulting in more mosquito breeding grounds. These climate changes have severely affected the region becoming an important scenario from arboviral diseases; thus highlighting the necessity for early detection and confirmation of febrile syndromes etiologies [23, 24]. The Peruvian epidemiological reports from July 2017 reveals that a total of 43,719 cases of dengue has been observed in the first half of the year in Piura, which represents the 64.8% of national cases. However, due to the increased demand for laboratory confirmation after El Niño phenomenon, the laboratory of the Instituto Nacional de Salud has been able to confirm only 23.2% of samples, a rate even lower than the previous year [7, 8] In addition, the most common serotypes circulating in this region are DENV-2 and DENV-3, but due to the low confirmation rates other serotypes may be neglected [7, 10].

In our study population, DENV was the most prevalent arbovirus as we were able to detect it in 34.3% of patients with acute febrile illness. Furthermore, among these 170 positive samples, we observed a clear predominance of DENV-2 in 57.1% followed by DENV-3 in 5.3%, no DENV-1 and DENV-4 were detected. This serotype distribution is similar to the national reports of 2017; however, we were not able to determine the serotype in 64 samples (37.6%) even though we used molecular characterization via real-time RT-PCR. We believe this might be explained due to possible mutations in the DENV circulating in Peru. The presence of mutant variants of DENV can occur as intra-epidemic events sometimes enhancing the replication of specific serotypes [25, 26]. This new variant of DENV may contain specific sequences which cannot be amplified by conventional primers for stereotypification [20, 26, 27].

CHIKV cases have also been increasing in 2017 after the outbreaks in Tumbes, Piura, and Ancash [7]. So far in 2017, Piura is again the most affected territory with 379 confirmed cases and 410 probable cases of CHIKV. We were able to detect CHIKV in 23 samples of patients with an acute febrile illness which represents 4.6% of our population.

Suspected autochthonous Zika cases have been reported in 10 departments of Peru and in 2017 a total of 5760 cases of ZIKV have been registered with only an 8.5% of laboratory-confirmed cases. In Piura, only 27 cases have been reported and no autochthonous cases have been confirmed [12, 28]. However, we believe that the low confirmation rate of our national surveillance may be diminishing the presence of ZIKV in North coast of Peru. In our series, we detected ZIKV in 23 of 496 samples a high number of cases if compared with the national reports in the region. However, due to the recent implementation of CHIKV and ZIKV surveillance and the lack of recent studies describing the prevalence of these viruses in Peru it is difficult for us to compare our results.

We also reported preliminary information about clinical features in patients with acute febrile illness upon presentation in our population. Among the patients with DENV positive samples, headaches 89.4% (152/170), muscle pain 86.5% (147/170) and joint pain 84.1% (143/170) were the most common symptoms accompanying fever. Similarly, for patients with ZIKV the most frequent symptoms were muscle pain 89.7% (35/39), headaches 87.2% (34/39) and joint pain 82.1% (32/39). This information demonstrates once more the similar presentation these both pathogens can have and highlights the importance of laboratory confirmation. Interestingly, for CHIKV no predominant symptom was observed being headaches, joint pain, loss of appetite, back pain, retro-ocular pain and muscle pain in 74–87% of patients. Although we observed that a sore throats and back pain were more common in patients with DENV compared to the other arboviruses, due to our limited sample we cannot conclude that these clinical features can categorically aid for a DENV diagnosis.

In conclusion, DENV is the most common arboviral cause of acute febrile illness in our study population from Piura, Peru. However, the presence of CHIKV and ZIKV should not be underestimated in the northern coast of Peru. Clinical presentations among these arboviruses can be very similar highlighting the importance of laboratory confirmation to achieve an etiological diagnosis and improve patients management. Further investigations are encouraged to improve prevalence estimates for these arboviruses and understand the causes of their resurgence. In addition, retrospective studies in stored samples should be considered to assess if Zika virus was present in Peru before 2016.

Limitations

This study has two main limitations. First, since we only included patients from primary care facilities in an outpatient setting, it is likely that we might have neglected more severe cases. Second, since the study was designed for DENV, CHIK and ZIKV detection via real-time PCR, it is possible that other arboviral etiologies might be present in the negative samples of patients with acute febrile illness.

Notes

Abbreviations

DENV: 

Dengue

CHIKV: 

Chikungunya

ZIKV: 

Zika

RT-PCR: 

reverse transcription polymerase chain reaction

PCR: 

reaccion polimerasa chain

DNA: 

deoxyribonucleic acid

RNA: 

ribonucleic acid

bp: 

base pairs

Declarations

Authors’ contributions

JdVM and WS designed the study protocol. JSC, DTY, FVA, MAAL performed the PCR for pathogens. JdVM was responsible for obtaining funding and laboratory work supervision. WS, PW, MAAL, IS, LC and JML were responsible for the clinical assessment, samples collection and database completion. JdVM, WS, PW, JSC, DTY, and LC drafted the manuscript. All authors critically revised the manuscript for intellectual content. All authors read and approved the final manuscript.

Acknowledgements

We thank the staff of the health network from Morropón-Chulucanas, Piura, Peru.

Competing interests

On behalf of all authors, the corresponding author states that there are no conflicts of interest or funding related to this study.

Availability of data and materials

Abstraction format used in the study and dataset are available and accessible from the corresponding author upon request in the link: https://figshare.com/articles/Dataset_Piura/5766000.

Consent to publish

Not applicable.

Ethics approval and consent to participate

This study was approved by the Research Ethics Board of the Hospital Regional de Cajamarca, Peru. All samples were analyzed after a written informed consent was signed by parents or children’s caregivers.

Funding

The study has been supported by Supported by the Programa Nacional de Innovación para la Competitividad y Productividad (Innóvate Perú), under the contract 116-PNICP-PIAP-2015.

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Authors’ Affiliations

(1)
School of Medicine, Research and Innovation Centre of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
(2)
Laboratorio de Biología Molecular, Instituto de Investigación Nutricional (IIN), Lima, Peru
(3)
Instituto de Investigación de Enfermedades Infecciosas (IIEI), Lima, Peru
(4)
Departamento de Ciencias Básicas, Escuela de Ciencias de la Salud, Universidad de Viña del Mar, Viña del Mar, Chile
(5)
Red de Salud de Morropon Chulucanas, Dirección Regional de Salud de Piura (DIRESA-Piura), Piura, Peru

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Copyright

© The Author(s) 2018

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