| Literature DB >> 29187150 |
Christelle Luce Bobossi Gadia1, Alexandre Manirakiza2, Gaspard Tekpa3, Xavier Konamna1, Ulrich Vickos1, Emmanuel Nakoune1.
Abstract
BACKGROUND: Febrile jaundice results clinically in generalized yellow coloration of the teguments and mucous membranes due to excess plasma bilirubin, accompanied by fever. Two types are found: conjugated and unconjugated bilirubin jaundice. Jaundice is a sign in several diseases due to viruses (viral hepatitis and arbovirus), parasites (malaria) and bacteria (leptospirosis). In the Central African Republic (CAR), only yellow fever is included on the list of diseases for surveillance. The aim of this study was to identify the other pathogens that can cause febrile jaundice, for better management of patients.Entities:
Keywords: Central African Republic; Differential diagnosis; Febrile jaundice
Mesh:
Year: 2017 PMID: 29187150 PMCID: PMC5707826 DOI: 10.1186/s12879-017-2840-8
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Primers and probes used to detect arbovirus and hepatitis E virus
| Primers and probes | Nucleic acid sequences of primers and probes |
|---|---|
| qPCR Zika virus (ZIKV) | |
| ZIKV forward | 5-nt9271AARTACACATACCARAACAAAgTggT9297–3’ |
| ZIKV reverse | 5′ nt9352-TCCRCTCCCYCTYTggTCTTg-9373 -3’ |
| ZIKV probe | nt 9304-FAM-CTYAgACCAgCTgAAR-BBQ-9320 |
| qPCR Dengue total (DENV 1–4 system) | |
| DENT forward | 5′- AGGACYAGAGGTTAGAGGAGA - 3’ |
| DENT reverse | 5′- CGYTCTGTGCCTGGAWTGAT −3’ |
| DENT probe | FAM-ACAGCATATTGACGCTGGGARAGACC-TAMRA |
| qPCR Dengue subtypes (DENV1, DENV2, DENV3) | |
| DEN1 forward | 5′ ATACCYCCAACAGCAGGAATT - 3’ |
| DEN1 reverse | 5′ AGCATRAGGAGCATGGTCAC −3’ |
| DEN1 probe | FAM-TTGGCTAGATGGRGCTCATTCAAGAAGAAT-TAMRA |
| DEN2 forward | 5′ TGGACCGACAAAGACAGATTCTT 3’ |
| DEN2 reverse | 5′ CGYCCYTGCAGCATTCCAA 3’ |
| DEN2 probe | FAM-CGCGAGAGAAACCGCGTGTCRACTGT-TAMRA |
| DEN3 forward | 5′ AAGACGGGAAAACCGTCTATCAA 3’ |
| DEN3 reverse | 5′ TTGAGAATCTCTTCGCCAACTG 3’ |
| DEN3 probe | FAM-ATGCTGAAACGCGTGAGAAACCGTGT-TAMRA |
| qPCR Chikungunya (CHIK) | |
| CHIK forward | 5′- AAGCTYCGCGTCCTTTACCAAG - 3’ |
| CHIK reverse | 5′- CCAAATTGTCCYGGTCTTCCT −3’ |
| CHIK probe | FAM-CCAATGTCYTCMGCCTGGACACCTTT-TAMRA |
| qPCR Rift Valley fever virus (RVFV) | |
| RVFV forward | 5′- AAA ggA ACA ATg gAC TCT ggT CA - 3’ |
| RVFV reverse | 5′- CAC TTC TTA CTA CCA TTC CTC CAA T − 3’ |
| RVFV probe | FAM-AAA gCT TTg ATA TCT CTC AgT gCC CCA A -TAMRA |
| qPCR West Nile virus (WNV) | |
| WNV3p forward | 5′ Agg TTA gWg gAg ACC CCg T - 3’ |
| WNV3p reverse | 5′ ggT TgT gCA gAg CAg AAg ATC −3’ |
| WNV3p probe | FAM-CGGTTCCGGCGGTGGTTTCT-TAMRA |
| Conventional PCR Crimean-Congo haemorrhagic fever virus (CCHFV) | |
| CCHFV forward | 5′ – TGGACACCTTCACAAACTC - 3’ |
| CCHFV reverse | 5′ – GACAAATTCCCTGCACCA - 3’ |
| qPCR Hepatitis E virus (HEV) | |
| HEV forward | 5′ GCCCGGTCAGCCGTCTGG −3’ |
| HEV reverse | 5′-CTGAGAATCAACCCGGTCAC −3’ |
| HEV probe | FAM-CGGTTCCGGCGGTGGTTTCT-TAMRA |
Distribution of positive results for pathogens in differential diagnosis of yellow fever according to sociodemographic characteristics in the CAR (2008–2010)
| Characteristic | Any positive result | Negative result |
| |||
|---|---|---|---|---|---|---|
| No. | % | No. | % | |||
| Age (years) | < 15 | 35 | 52.2 | 32 | 47.8 | 0.567 |
| 16–24 | 24 | 52.2 | 22 | 47.8 | ||
| 25–34 | 21 | 50.0 | 21 | 50.0 | ||
| ≥ 35 | 17 | 39.5 | 26 | 60.5 | ||
| Sex | Male | 43 | 43.4 | 56 | 56.6 | 0.118 |
| Female | 54 | 54.5 | 45 | 45.5 | ||
| Province of residence | Bangui | 41 | 51.9 | 38 | 48.1 | 0.446 |
| Bambari | 1 | 50.0 | 1 | 50.0 | ||
| Basse Kotto | 6 | 40.0 | 9 | 60.0 | ||
| Haute Kotto | 3 | 60.0 | 2 | 40.0 | ||
| Kembe | 2 | 33.3 | 4 | 66.7 | ||
| Lobaye | 0 | 0.0 | 7 | 100.0 | ||
| Mbomou | 3 | 75.0 | 1 | 25.0 | ||
| Nana Mambere | 1 | 25.0 | 3 | 75.0 | ||
| Ombela-M’poko | 27 | 51.9 | 25 | 48.1 | ||
| Ouaka | 1 | 100.0 | 0 | 0.0 | ||
| Ouham | 5 | 55.7 | 4 | 44.3 | ||
| Ouham Pende | 5 | 50.0 | 5 | 50.0 | ||
| Sangha Mbaere | 0 | 0.0 | 1 | 100.0 | ||
| Vakaga | 2 | 66.7 | 1 | 33.3 | ||
Pathogens identified in samples negative for yellow fever IgM, CAR, 2008–2010
| Infectious agent | No. of samples testeda | No. positive (%) |
|---|---|---|
| HBsAg | 162 | 32 (19.8) |
| HEVb | 198 | 27 (13.6) |
| HCVAg | 162 | 9 (5.6) |
|
| 198 | 4 (2.0) |
| Anti-HDc | 50 | 17 (34.0) |
| HEV + HBsAg | 162 | 6 (3.7) |
| HBsAg + HCVAg | 162 | 4 (2.5) |
| HBsAg + | 162 | 4 (2.5) |
|
| 162 | 3 (1.9) |
| HCVAg + HEV | 162 | 2 (1.2) |
| HEV + | 198 | 2 (1.0) |
| HBsAg + HEV + | 162 | 2 (1.2) |
| HBsAg + HEV + HCVAg | 162 | 1 (0.6) |
| HBSAg + | 162 | 1 (0.6) |
| Other pathogensd | 198 | 0 (0,0) |
aAfter testing sera for leptospirosis; dengue arbovirus; chikungunya, Zika, Crimean–Congo haemorrhagic fever, West Nile and Rift Valley viruses; and P. falciparum, sufficient quantities of serum remained for testing only a further 162 samples
bHepatitis E virus, tested with qPCR
cHepatitis delta virus
dLeptospirosis; DENV; CHIK, ZIKV, CCHFV, WNV and RVFV