Literature DB >> 32734077

Tissue inhibitor of metalloproteinase-1 and interleukin-10 in serum from naïve and scrapie infected sheep.

Marta G Silva1, Sally A Madsen-Bouterse1, Rohana P Dassanayake1, Michelle Mousel2,3, Donald P Knowles1.   

Abstract

Tissue inhibitor of metalloproteinase-1 (TIMP-1) and interleukin-10 (IL-10) were identified as potential biomarkers for ovine scrapie in a mouse model. The development of novel diagnostic methods to identify pre-clinical scrapie-infected animals is needed. In this study, ELISA was used to assess TIMP-1 and IL-10 levels in 158 serum samples from naïve and preclinical scrapie-infected sheep. Young (≤ 18 months) naïve sheep had significantly lower TIMP-1 levels compared with old (≥ 20 months) naïve and old infected sheep (P<0.04). Young naïve sheep had lower IL-10 than old naïve sheep (P<0.001). Both cytokines tended to have lower levels in young naïve sheep compared to infected sheep but this did not reach significance. A larger sample size will be helpful in determining the potential of these cytokines as a diagnostic tool.
© 2019 The Authors.

Entities:  

Keywords:  Biomarker; Interleukin-10; Prion; Scrapie; Sheep; Tissue inhibitor of metalloproteinase-1

Year:  2019        PMID: 32734077      PMCID: PMC7386741          DOI: 10.1016/j.vas.2019.100056

Source DB:  PubMed          Journal:  Vet Anim Sci        ISSN: 2451-943X


Introduction

Transmissible spongiform encephalopathies (TSEs), or prion diseases, are fatal, neurodegenerative diseases where host-encoded normal cellular prion protein is misfolded into an alternative conformational isoform (PrPSc) which is considered to be a principle component of the infectious agent (Prusiner, 1998). Naturally occurring TSEs include scrapie in sheep and goats and is often acquired through oral exposure to the infectious agent (Andreoletti et al., 2002). The current gold standard for antemortem diagnosis of scrapie in sheep is detection of PrPSc accumulations in lymphoid tissue of the rectoanal mucosa-associated lymphoid tissues in sheep at 14 months of age or older (Gonzalez et al., 2008). The availability of a quick, non-invasive method for screening large numbers of samples would result in substantial animal health and economic benefits. While measurable systemic immune response to scrapie infection was not detected, observations in transgenic mice overexpressing the valine allele of ovine PRNP (Tg338) suggest increased cytokine expression by central nervous system cells may serve as markers for an inflammatory response (Newsom et al., 2011). Specifically, tissue inhibitor of metalloproteinase-1 (TIMP-1) and interleukin-10 (IL-10) increased by two- to eight-fold in the brain, spleen, mesenteric lymph nodes and serum in pre-clinical and clinical scrapie-infected mice versus scrapie-naïve mice suggesting that these cytokines may be suitable biomarkers for scrapie infection. These observations led us to assess whether IL-10 and TIMP-1 cytokines could be used as serum biomarkers for scrapie in sheep, the natural host.

Materials and methods

TIMP-1 and IL-10 were analyzed in duplicate in 158 sheep serum samples from naïve and preclinical scrapie-infected sheep (Table 1 and Suppl. Figs. 1 and 2) using enzyme-linked immunosorbent assays (ELISA) following the manufacturer's protocol (TSZ Scientific LLC). Preclinical scrapie was confirmed by immunohistochemical examination of lymphoid tissues, notably the retropharyngeal lymph node or palatine tonsil, and rectal biopsies collected from animals with no neurologic signs at the time of cull. Experimental protocols were approved by the Washington State University Institutional Animal Care and Use Committee. Serum was obtained from blood by centrifugation for 20 min at 420×g at 4°C. Genomic DNA was extracted from blood collected into EDTA anticoagulant using iPrep™ PureLink® gDNA Blood Kit (Invitrogen) following the manufacturer's instructions and haplotypes were determined by sequencing of the open reading frame of the prion protein gene, PRNP (Alverson, O'Rourke, & Baszler, 2006). An analysis of variance was conducted using a mixed model with SAS 9.4 (SAS Inst. Inc., Cary, NC) for both cytokines. The model was reduced to only factors that were significant or were a main effect. Specifically, we included the fixed effects of age, gender, infection status, pregnancy status within gender, and prion haplotype and a random effect of assay replicate. The final model contained only the main effects as well as age by gender and age by infection status interactions. To adjust for unbalanced data, the Tukey-Kramer procedure was used to identify pairwise significant differences among least square means. The equation used is presented below:in which Y is the observation of the ith age (young ≤ 18 months and old ≥ 20 months) of sheep, gender (jth), pregnancy status within gender (kth), infection status (lth), prion haplotype (mth), and random replicate (nth); μ is an intercept term common to all observations and e is the residual error.
Table 1

Distribution of the number of sheep samples analyzed by infection status, gender, and age in months (mo).

Naïve sheepInfected sheep
PregnantNon-pregnantMalePregnantNon-pregnantMale
≤ 18 mo141617654
≥ 20 mo3031173114
Total (n)4447349168
Distribution of the number of sheep samples analyzed by infection status, gender, and age in months (mo).

Results and discussion

Serum TIMP-1 was found to be significantly lower in young naïve sheep compared with old naïve and old infected sheep (P<0.04; Fig. 1 and Suppl. Fig. 1). A similar trend was observed in young naïve sheep versus young infected sheep but was not statistically significant (P>0.16). This observation is consistent with lower TIMP-1 in naïve versus scrapie-infected Tg338 mice regardless of age tested (Newsom et al., 2011). TIMP-1 has been shown to be downregulated by estradiol in pregnant sheep and its absence may be associated with increased uterine protease activity during estrus (Nothnick, 2000). Whereas, in the current study, pregnancy was associated with lower TIMP-1 (P<0.022), the interaction between pregnancy and infection status was not significant (P>0.8) and removed from the model without further analysis. Similar to observations of TIMP-1, IL-10 was significantly lower in young naïve sheep when compared to old naïve sheep (P<0.0001; Fig. 2 and Suppl. Fig. 2). While IL-10 tended to be lower in young naïve sheep relative to young and old scrapie infected sheep, this observation was not significant (P<0.19). Studies have shown that IL-10, an inhibitor of T-lymphocyte helper 1 cytokines (de Silva, Begg, & Whittington, 2011), plays a role in regulation of TSEs as was demonstrated by rapid development of prion disease in IL-10 deficient mice (Thackray, McKenzie, Klein, Lauder, & Bujdoso, 2004). The lack of statistical concordance between this study and previous studies showing increased IL-10 in scrapie-infected mice relative to naïve mice (Newsom et al., 2011, Thackray et al., 2004) may be due to the sampling of an outbred population and may reach significance upon testing more animals. Previous studies indicate that polymorphisms at codons 136, 154, and 171 of the open reading frame of sheep PRNP influence resistance (ARR/ARR) or susceptibility (VRQ/VRQ, ARQ/ARQ) to scrapie (Baylis & Goldmann, 2004). In the current study, prion haplotype was not associated with serum levels of TIMP-1 (P>0.07) or IL-10 (P>0.08) (data not shown).
Fig. 1

TIMP-1 levels (pg/ml) determined within age vs infection status in sheep serum samples. The bars are the least squares means with the standard errors. Different letters were P < 0.05.

Fig. 2

IL-10 levels (pg/ml) determined within age vs infection status in sheep serum samples. The bars are the least squares means with the standard errors. Different letters were P < 0.05.

TIMP-1 levels (pg/ml) determined within age vs infection status in sheep serum samples. The bars are the least squares means with the standard errors. Different letters were P < 0.05. IL-10 levels (pg/ml) determined within age vs infection status in sheep serum samples. The bars are the least squares means with the standard errors. Different letters were P < 0.05. The development of non-invasive screening methods to identify pre-clinical scrapie-infected animals is highly desirable. This study demonstrates that the trend of the increase of TIMP-1 and IL-10 levels in scrapie-infected animals is similar to observations in infected-mice but lacked significance potentially due to sampling in the natural host (which is an outbred population) and/or the sample size tested. While studies of scrapie infected-mice are helpful in demonstrating infectivity and strain variation, studies of potential ovine biomarkers should be confirmed or performed directly in the natural hosts, since mice may not be universally reliable as a model for comparative studies of inflammatory diseases (Seok et al., 2013). Alternatively, the data suggests that the cytokines tested hereby might not be ideal biomarkers to be used as predictive diagnostic tools, especially for the preclinical stage, suggesting that additional candidates should be identified.

Conclusion

Currently, diagnosis of TSE is solely based on the use of techniques aimed at identifying the PrPSc protein, and it precludes the use of biomarkers, since so far none was identified for indicating preclinical infections. This study found that TIMP-1 and IL-10 levels tended to have lower levels in young naïve sheep compared to infected sheep but these differences did not reach statistical significance. Although the data gathered so far is insufficient to propose the use of biomarkers in the diagnosis of scrapie, it supports the possible future development of such biomarker probes. Future studies using a larger sampling cohort will be needed to determine the potential value of these cytokines as a screening tool for scrapie-infected sheep.

Conflict of interest

The authors declare no conflict of interest.

Ethical statement

Experimental protocols were approved by the Washington State University Institutional Animal Care and Use Committee
  10 in total

1.  PrP(Sc) accumulation in placentas of ewes exposed to natural scrapie: influence of foetal PrP genotype and effect on ewe-to-lamb transmission.

Authors:  Olivier Andréoletti; Caroline Lacroux; Armelle Chabert; Laurent Monnereau; Guillaume Tabouret; Frédéric Lantier; Patricia Berthon; Francis Eychenne; Sylvie Lafond-Benestad; Jean-Michel Elsen; François Schelcher
Journal:  J Gen Virol       Date:  2002-10       Impact factor: 3.891

2.  PrPSc accumulation in fetal cotyledons of scrapie-resistant lambs is influenced by fetus location in the uterus.

Authors:  Janet Alverson; Katherine I O'Rourke; Timothy V Baszler
Journal:  J Gen Virol       Date:  2006-04       Impact factor: 3.891

3.  Diagnosis of preclinical scrapie in live sheep by the immunohistochemical examination of rectal biopsies.

Authors:  L González; M P Dagleish; S Martin; G Dexter; P Steele; J Finlayson; M Jeffrey
Journal:  Vet Rec       Date:  2008-03-29       Impact factor: 2.695

4.  Cytokine antibody array analysis in brain and periphery of scrapie-infected Tg338 mice.

Authors:  Denise M Newsom; H Denny Liggitt; Katherine O'Rourke; Dongyue Zhuang; David A Schneider; Robert D Harrington
Journal:  Comp Immunol Microbiol Infect Dis       Date:  2011-07-23       Impact factor: 2.268

5.  The interleukin 10 response in ovine Johne's disease.

Authors:  Kumudika de Silva; Douglas Begg; Richard Whittington
Journal:  Vet Immunol Immunopathol       Date:  2010-08-07       Impact factor: 2.046

6.  Disruption of the tissue inhibitor of metalloproteinase-1 gene results in altered reproductive cyclicity and uterine morphology in reproductive-age female mice.

Authors:  W B Nothnick
Journal:  Biol Reprod       Date:  2000-09       Impact factor: 4.285

7.  Accelerated prion disease in the absence of interleukin-10.

Authors:  Alana M Thackray; Andrew N McKenzie; Michael A Klein; Angus Lauder; Raymond Bujdoso
Journal:  J Virol       Date:  2004-12       Impact factor: 5.103

Review 8.  The genetics of scrapie in sheep and goats.

Authors:  M Baylis; W Goldmann
Journal:  Curr Mol Med       Date:  2004-06       Impact factor: 2.222

9.  Genomic responses in mouse models poorly mimic human inflammatory diseases.

Authors:  Junhee Seok; H Shaw Warren; Alex G Cuenca; Michael N Mindrinos; Henry V Baker; Weihong Xu; Daniel R Richards; Grace P McDonald-Smith; Hong Gao; Laura Hennessy; Celeste C Finnerty; Cecilia M López; Shari Honari; Ernest E Moore; Joseph P Minei; Joseph Cuschieri; Paul E Bankey; Jeffrey L Johnson; Jason Sperry; Avery B Nathens; Timothy R Billiar; Michael A West; Marc G Jeschke; Matthew B Klein; Richard L Gamelli; Nicole S Gibran; Bernard H Brownstein; Carol Miller-Graziano; Steve E Calvano; Philip H Mason; J Perren Cobb; Laurence G Rahme; Stephen F Lowry; Ronald V Maier; Lyle L Moldawer; David N Herndon; Ronald W Davis; Wenzhong Xiao; Ronald G Tompkins
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-11       Impact factor: 11.205

Review 10.  Prions.

Authors:  S B Prusiner
Journal:  Proc Natl Acad Sci U S A       Date:  1998-11-10       Impact factor: 11.205

  10 in total

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