Malignant Catarrhal Fever in Brazilian cattle presenting with neurological syndrome

Abstract

Malignant Catarrhal Fever (MCF) was investigated in the central nervous system of cattle with neurological syndrome. Two-hundred-ninety samples were analyzed by histology, and molecular methods to detect ovine herpesvirus type 2 (OvHV-2) were optimized and validated. The qualitative polymerase chain reaction (qualitative PCR) analytical sensitivity was 10¹ DNA copies/µL and found 4.8% (14/290) positive for OvHV-2. The quantitative polymerase chain reaction (qPCR) analytical sensitivity was 10⁰ DNA copy/µL and 5.9% (17/290) positivity, with 47.1% (8/17) of the positive samples presenting histological evidence of non-purulent meningo-encephalitis. The qualitative PCR products (422 bp of the ORF75 region) were sequenced and submitted to phylogenetic analysis. Identity matrices showed 100% similarity in OvHV-2 samples obtained in this study and those recovered from GenBank, corroborating other studies.

Keywords:
Ovine herpesvirus type 2 (OvHV-2); Histopathology; Qualitative PCR; Quantitative PCR; Phylogenetic analysis

Introduction

Encephalitis and encephalopathies have serious impact on public health, produce economic losses, and are a barrier to international trade.¹ The differential diagnosis of bovine neurological syndrome is essential, and is challenging due to the difficulty in identifying potential agents and obtaining conclusive results. Diagnosis begins with investigations for the most probable agents, and, in the case of negative results, proceeding to include other pathogens.¹

Malignant Catarrhal Fever (MCF) is a widespread disease that affects multiple systems and is often fatal to many artiodactyl species. It is caused by Herpesvirus of the family Gammaherpesvirinae and Macavirus, a group of antigenic and genetically related viruses, known as MCF viruses,² which cause clinical or subclinical infection in susceptible animals.^3–5 To date, ten MCF viruses have been identified, with the most frequent being ovine herpesvirus type 2 (OvHV-2), which causes MCF in sheep (SA-MCF).⁶

Diagnosis of SA-MCF is generally made from clinical history and signs, non-specific lesions observed during necropsy, histology, and epidemiologic data.⁷ Molecular methods are recommended, as they allow viral DNA detection both ante- and post-mortem, to identify the disease and assess its epidemiology.

Lack of awareness of MCF as a cause of neurological syndrome in cattle and the importance of the differential diagnosis of neurological diseases reinforces the need for optimization and validation of specific and sensitive diagnostic methods for the molecular identification of the OvHV-2.

This research aimed to evaluate suspected cases of MCF in cattle by clinical and anatomopathological evaluation and by molecular characterization in Brazil.

Materials and methods

Survey design

Retrospective molecular and histological analyses were made of 290 central nervous system (CNS) samples from cattle with neurological symptoms referred to the Centro de Pesquisa e Desenvolvimento de Sanidade Animal do Instituto Biológico for differential diagnosis of neurological syndrome. The samples came from several regions of Brazil, with 285 collected from January 2012 to March 2014, one in 2007, and four in 2009. All samples were negative for rabies virus, bovine herpesvirus types 1 and 5, bovine viral diarrhea, and Neospora caninum.

Standard virus selection

A sample of bovine CNS from Assis County, São Paulo State was used as virus standard. The sample was found MCF-positive on histological examination. The viral DNA was extracted using TRizol according to the manufacturer's instructions. Amplification of the ORF75 segment that encodes the phosphoribosylformylglycinamidine synthase (FGARAT) enzyme, participating in purine metabolism and production of viral tegument proteins, was conducted by PCR, using the primers MCF 556 and MCF 755, to amplify a 422 base pair (bp) segment. The positive PCR products were purified, sequenced, and identified as ovine herpesvirus-type 2 (OvHV-2). It was quantified using the QuantiFluor dsDNA System following the manufacturer's instructions. The purified DNA was used as standard to optimize and validate molecular methods.

To determine the sensitivity of the molecular methods, ten-fold serial dilutions of a positive sample (10⁰–10⁷ DNA copies/µL) were performed in nuclease free water and in CNS negative for OvHV-2.

Extraction of nucleic acid

The DNA samples were extracted using TRizol, according to the manufacturer's instructions. The viral load was determined by comparing to the standard curve, expressed as DNA copies per gram tissue.

Optimizing and validating molecular methods

Primers and an hydrolysis probe targeting the ORF75 regions of the OvHV-2 genome were used. For qualitative PCR, the primers used were MCF 556 (5′ GTC TGG GGT ATA TGA ATC CAG ATG GCT CTC 3′), MCF 755 (5′ AAG ATA AGC ACC AGT TAT GCA TCT GAT AAA 3′), and MCF 555 (5′ TTC TGG GGT AGT GGC GAG CGA AGG CTT C 3′).⁸ For qPCR, the primers used were forward oF-OvHV-2 (5′ TGG TAG GAG CAG GCT ACC GT 3′), reverse oR-OvHV-2 (5′ ATC ATG CTG ACC CCT TGC AG 3′), and the hydrolysis probe FAM/TAMRA oP-OvHV-2 (5′ TCC ACG CCG TCC GCA CTG TAA GA 3′).⁹

The temperature gradient was tested in the qualitative PCR with MCF 556 vs. MCF 755, MCF 556 vs. MCF 555, and MCF 755 vs. MCF 555 with various reagent concentrations and cycling conditions (data not shown).

Reaction conditions in both amplifications were adjusted to 12.5 µL PCR Master Mix (Promega). The concentration of external and internal primers was 0.25 µM (556 and 755 in the first amplified 422 bp, 556 and 555 in the second 238 bp). The volume of DNA in the first and second amplification was 2.5 µL and 2 µL, respectively, plus nuclease free water to a total volume of 25 µL.

Quantitative PCR used SYBRGreen and TaqMan systems at primer concentrations of 200–1000 nM. The hydrolysis probe was at 60–100 nM concentration (data not shown). All reactions were carried out in a LightCycler 480 (Roche).

For the SYBRGreen assay, a commercial kit LightCycler 480 SYBR Green I Master (Roche Molecular Systems) was used with 10 µL Master Mix, 2× concentration. The concentration of both primers was 500 nM; 2.0 µL DNA, and PCR-grade water to a total volume of 20 µL.

The TaqMan system was implemented using the LightCycler 480 Probe Master (Roche Molecular Systems) with 10 µL Master Mix, 2× concentration. The concentration of both primers was 500 nM and the probe was 90 nM; 2.0 µL DNA and PCR-grade water to a total volume of 20 µL.

Following the optimized amplification conditions (Table 1), the standard virus dilution in nuclease-free water, as well as in extracted DNA of CNS negative for OvHV-2, were submitted to three replications in three days, for validation and confirmation of results of the assay.¹⁰

Table 1
Cycling and temperature conditions of the first and second amplification for qualitative PCR and both qPCR systems (SYBR Green and TaqMan Systems) for OvHV-2.

Method	System	Primers	Initial denaturing	30 cycles			Final extension	Curve of melting
				DNA denaturing	Primer hybridization	Polymerization
Qualitative PCR		First amplification: MCF 556/755	95 ºC/3 min	95 ºC/30 s	60 ºC/30 s	72 ºC/30 s	72 ºC/3 min
		Second amplification: MCF 556/555	95 ºC/3 min	95 ºC/30 s	67 ºC/30 s	72 ºC/30 s	72 ºC/3 min
Quantitative PCR	SYBR Green			40 cycles
		oF-OvHV-2	95 ºC/10 s	60 ºC/20 s	95 ºC/5 min	72 ºC/6 s		72 ºC 5 s/65 ºC 1 min/97 ºC continuous
	TaqMan	oR-OvHV-2	95 ºC/5 min	95 ºC/10 s	60 ºC/20 s	72 ºC/6 s

Sequencing

A 422 bp fragment from 13 positive samples was submitted to sequencing using the Applied Biosystems ABI 3500XL Genetic Analyser (Applied Biosystems). The quality of the sequences was assessed using Sequence Analyzer (Applied Biosystem) software. BioEdit v. 7.1.11,¹¹ BLAST and ClustalW software were used to analyze the sequences. Alcelophine Herpesvirus-1 was used as outgroup. Molecular Evolutionary Genetics Analysis (MEGA) v. 6.0¹² was used for phylogenetic analysis. The tree was generated by a neighbor-joining algorithm using Kimura 2 evolutionary model parameters with 1000 bootstrap replicates.

Histology

The samples were conventionally processed and stained with hematoxylin and eosin¹³ for histological examination.

Results

Standard virus

The selected standard sample was the identified 798/07, collected in Assis County, São Paulo State, with MCF clinical and histological diagnosis (Fig. 3). The 422 bp sequence presented 97–100% similarity to OvHV-2 from several regions throughout the world.

Optimizing and validating the molecular methods

The qualitative PCR analytical sensitivity in the first amplification was 10¹ DNA copies/µL and, in the second, was 10² DNA copies/µL.

The detection threshold of both quantitative PCR systems was 10⁰ DNA copies/µL [quantification cycle (Cq) ∼35 cycles]. There were no differences between the results obtained from standard virus dilutions in extracts of DNA of CNS negative to OvHV-2 and in nuclease free water (Figs. 1 and 2).

Fig. 1
Standard curve SYBRGreen system, dilutions in extracts of CNS of cattle negative to OvHV-2. (A) Serial dilutions 10⁰–10⁵ DNA copies/µL. (B) Specificity of the reaction: efficacy = 2.001, slope = -3.319. (C) Melting curve generated in the SYBRGreen system, dilutions in extracts of CNS of cattle negative to OvHV-2 with peak at Tm 86 °C.

Fig. 2
Standard curve TaqMan system, dilutions in extracts of CNS of cattle negative to OvHV-2. (A) Serial dilutions 10⁰–10⁵ numbers of DNA copies/µL. (B) Specific values of the reaction: efficacy = 1.994; slope = -3.336.

Sample analysis

Of the bovine CNS samples collected from January 2012 to March 2014, 4.2% (12/285) were positive for OvHV-2 by qPCR. An additional four cases were confirmed in 2009 and one in 2007, totaling 5.9% (17/290) positivity. The qualitative PCR detected 4.8% (14/290) positive samples, and 2.8% (8/290) presented characteristic minor or greater grade histopathological changes (Fig. 3).

Fig. 3
Histopathological alterations observed in MCF in tissues of animal 798/07. (A) Carotid rete mirabile with moderate mononuclear inflammatory infiltration and hyalinization of the tunica adventitia (H & E 200× magnification). (B) Cerebral cortex with moderate mononuclear perivascular cuffing in gray matter and mononuclear infiltrate in meninges (non-purulent meningo-encephalitis) (H & E 200× magnification). (C) Thalamus with intense mononuclear perivascular cuffing in the neuropil (H & E 100× magnification). (D) Kidney. Renal cortex with intense mononuclear inflammatory infiltrate and hyalinization in the tunica media and adventitia (H & E 100× magnification).

The agreement between qPCR (the most sensitive method) and qualitative PCR was 82.4% (14/17) and between qPCR and histology was 47.1% (8/17) (Table 2).

Table 2
Sample identification for year collecting, age animals (in months), number of dead or sick animals in the herd, quantification cycle - Cq, DNA copies per tissue gram by qPCR, results of qualitative PCR, results of histology and country/state where the sample came from.

Sample identification	Year	Age (months)	Number of dead or sick animals/herd	Quantification cycle (Cq)	DNA copies per tissue gram	Qualitative PCR	Histology	County/state
798/07	2007	96	1/21	26.4	1.5 × 105	POS	POS	Assis/SP
G355/09	2009	36	2/350	26.8	1.2 × 105	POS	POS	NIa/PE
G86/09	2009	48	3/530	24.6	4.6 × 105	POS	POS	NIa/PE
G251/09	2009	3	NIa	26.5	1.5 × 105	POS	POS	Lagoa D’Ouro/PE
1398/09	2009	56	1/150	30.9	3.9 × 104	POS	NEG	Martinópolis/SP
364/12	2012	38	NIa	29.7	1.7 × 104	POS	POS	Socorro/SP
11570/12	2012	84	NIa	35.2	0.9 × 103	NEG	NEG	Caçapava/SP
24221/12	2012	18	1/100	30.4	0.9 × 104	POS	NEG	Ribeirão Preto/SP
20428/13	2013	36	NIa	24.1	6.6 × 105	POS	POS	Bujari/AC
5587/13	2013	48	NIa	35.2	0.9 × 103	NEG	NEG	Franca/SP
6414/13	2013	24	1/29	32.5	2.9 × 104	POS	NEG	Restinga/SP
7983/13	2013	48	5/350	33.3	1.4 × 104	POS	NEG	Itirapuã/SP
8011/13	2013	NIa	12/3106	33.6	1.1 × 104	POS	NEG	Queiroz/SP
8012/13	2013	48	1/397	28.9	3.9 × 104	POS	POS	Morungaba/SP
8013/13	2013	5	1/254	33.5	1.0 × 104	POS	NEG	Itaguaçu/ES
25605/13	2013	48	1/350	33.7	0.8 × 104	POS	POS	Silva Jardim/RJ
2062/14	2014	36	3/144	35.0	1.0 × 103	NEG	NEG	Itirapina/SP

• ^a
  NI, not informed.

The viral load of samples associated with pathological evidence varied from 0.8 × 10⁴ to 6.6 × 10⁵ DNA copies/g tissue, and the viral load of samples without pathology varied from 0.9 × 10³ to 3.9 × 10⁴ DNA copies/g tissue (Table 2).

Samples of CNS, kidney, peripheral blood leukocytes, nasal swab, eyes, and lymph nodes of the animal identified as 20428/13 were collected. The tissues were stored separately until analysis, to prevent cross contamination, and analyzed separately to evaluate variations in positivity. All samples were positive with qualitative PCR and both qPCR systems. Pathological changes were found in the carotid rete mirabile and in kidney.

Sequencing

Thirteen positive samples from cattle of different regions of Brazil were sequenced (Fig. 4). The identity among samples and between samples and sequences obtained from the GenBank database ranged from 90.9 to 100% (Fig. 4).

Fig. 4
Location of the sequenced samples: A – 798/07; B – G251/09; C – 1398/09; D – 364/12; E – 24221/12; F – 20428/13; G – 6414/13; H – 7983/13; I – 8012/13; J – 8013/13; and K – 25605/13. Phylogram of the nucleotide sequences obtained in the current study aligned with OvHV-2 sequences available in GenBank. The tree was built by the neighbor-joining algorithm using the Kimura 2 evolutionary model with 1000 bootstrap replicates.

Discussion

MCF is generally diagnosed by history, epidemiological data, clinical signs, and lesions observed during necropsy and microscopy. Occasionally, it is diagnosed by immunodiagnostics and detection of viral genomic DNA. Malignant Catarrhal Fever diagnosis in Brazil is usually made by clinical signs, necropsy, and histology.^14–21 Such diagnoses are not always reliable, because MCF may be confused with other diseases, resulting in under-diagnosis, since there are no characteristic macro- or microscopic lesions, and some lesions can be observed only upon post-mortem examination. Molecular methods are reliable for MCF diagnosis in ante-mortem examinations (uncoagulated blood, ocular and nasal swabs), providing early detection of the virus to avoid economic loss, dissemination of disease within the herd, and mortality. Molecular methods allow post-mortem diagnosis in organs and fluids. Molecular methods are highly sensitive and specific and allow the diagnosis of MFC in the absence of clinical signs (latency), as may exist in chronic disease and in recovered animals.^22–24

Both qualitative and quantitative PCR in this study showed higher sensitivity than reported in previous studies.^9,24,25 The use of SYBRGreen for OvHV-2 diagnosis showed the feasibility of these molecular methods in routine laboratory diagnoses.

As expected, the number of positive samples was higher in both qPCR analyses (5.9%, 17/290) than in qualitative PCR (4.8% – 14/290), reflecting differences in analytical sensitivity. The samples with numbers of viral particles exceeding10¹ DNA copies/µL presented typical MCF histopathologies (2.8% – 8/290) in CNS and kidney (Fig. 3). The qPCR detected twice the SA-MCF cases as found by histology, considered a gold standard method. These observations demonstrate the importance of implementing a more sensitive, specific, rapid, and safe molecular diagnosis method, allowing early diagnosis and easy OvHV-2 detection. This method allows detection of low viral loads in a range of organs and fluids.

This research also draws attention to the importance of correct collection and delivery of material for histological diagnosis. In most cases a pathologist does not receive the carotid rete mirabile tissue necessary for MCF diagnosis, making histologic confirmation difficult and leading to under-diagnosis. In this case, molecular diagnosis is fundamental, due to its ability to detect the agent in various organs and fluids. In addition, the use of both molecular tools and histology is useful to differentiate active from latent OvHV-2 infection, considering that inflammatory lesions with mononuclear infiltrate (Fig. 3) are related to the presence of a viral agent.

Most of the farms on which positive animals were found had cattle and sheep pastured together, which was a risk factor for SA-MCF.

The phylogenetic tree and the genetic identity among Brazilian samples and with those from other parts of the world showed no significant genomic differences, suggesting that the OvHV-2 diagnosed in Brazilian cattle was genetically similar to that found in other countries.

These epidemiological data are important for Brazilian Animal Health authorities planning strategies for prevention of MCF in cattle.

Acknowledgements

Thanks to Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) of the Brazilian Ministry of Education and Culture for granting the Master's scholarship, and to the technicians of the Coordenadoria de Defesa Agropecuária do Estado de São Paulo (Secretary of Agriculture and Supply of São Paulo State) for providing the CNS samples.

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Publication Dates

• Publication in this collection
  Apr-Jun 2017

History

• Received
  8 Mar 2016
• Accepted
  17 Oct 2016