Literature DB >> 18226229

Early antibody response against Mycobacterium avium subspecies paratuberculosis antigens in subclinical cattle.

John P Bannantine1, Darrell O Bayles, W Ray Waters, Mitchell V Palmer, Judith R Stabel, Michael L Paustian.   

Abstract

BACKGROUND: Our laboratories have previously reported on the experimental infection of cattle with Mycobacterium avium subsp paratuberculosis (M. paratuberculosis) using an intratonsillar infection model. In addition, we have recently developed a partial protein array representing 92 M. paratuberculosis coding sequences. These combined tools have enabled a unique look at the temporal analysis of M. paratuberculosis antigens within the native host. The primary objective of this study was to identify M. paratuberculosis antigens detected by cattle early during infection. A secondary objective was to evaluate the humoral immune response in cattle during the initial year of infection.
RESULTS: Sera from two experimentally infected cattle, taken pre-inoculation and at day 70, 194 and 321 post infection, identified dynamic antibody reactivity among antigens with some showing an increased response over time and others showing declining levels of reactivity over the same time period. A M. paratuberculosis specific protein, encoded by MAP0862, was strongly detected initially, but the antibody response became weaker with time. The most reactive protein was a putative surface antigen encoded by MAP1087. A second protein, MAP1204, implicated in virulence, was also strongly detected by day 70 in both cattle. Subsequent experiments showed that these two proteins were detected with sera from 5 of 9 naturally infected cattle in the subclinical stage of Johne's disease.
CONCLUSION: Collectively these results demonstrate that M. paratuberculosis proteins are detected by sera from experimentally infected cattle as early as 70 days after exposure. These data further suggest at least two antigens may be useful in the early diagnosis of M. paratuberculosis infections. Finally, the construction and use of a protein array in this pilot study has led to a novel approach for discovery of M. paratuberculosis antigens.

Entities:  

Year:  2008        PMID: 18226229      PMCID: PMC2265687          DOI: 10.1186/1477-5956-6-5

Source DB:  PubMed          Journal:  Proteome Sci        ISSN: 1477-5956            Impact factor:   2.480


Background

Johne's disease is an economically significant intestinal disease caused by Mycobacterium avium subsp paratuberculosis (M. paratuberculosis). A recent survey estimated that 20%–40% of dairy herds in the United States are infected with M. paratuberculosis and producers lose $227 USD annually for each infected animal [1]. These costs are mostly attributed to the decreased milk production and weight loss resulting from the disease. After M. paratuberculosis infection by ingestion of contaminated milk or grass containing fecal material from a shedding cow, there is a lengthy subclinical phase that can last for several years. During this stage the cows may appear healthy, but can intermittently shed low numbers of mycobacteria in the feces, enabling transmission to other animals including wildlife species. A major challenge in controlling Johne's disease is the ability to detect infected cattle prior to appearance of disease signs, such as diarrhea and heavy fecal shedding of M. paratuberculosis. An unknown trigger, possibly stress during lactation or parturition, advances the disease from subclinical to clinical where disease signs such as weight loss and diarrhea become evident [2,3]. This trigger appears to coincide with a shift in immune function from a Th1 response to a Th2 response [4]. Current detection of subclinical animals depends on the timing and sensitivity of the test. Even the most sensitive culture-based tests will not detect M. paratuberculosis if a subclinically infected animal is not shedding bacilli at the time the fecal or milk sample is collected. M. paratuberculosis antigen induced interferon (IFN)-γ has been shown to be elevated in subclinical animals, but this cytokine declines in the clinical stage concomitant with an increase in M. paratuberculosis specific IL-10 production [5,6]. A comprehensive cytokine profile has been reported for both circulating monocytes and local tissues obtained from M. paratuberculosis-infected cattle [7]. With a few notable exceptions [8-10], there is very little data on antibody detection of M. paratuberculosis at early stages of infection in cattle. There are several reasons for this, but one in particular is that cattle that appear healthy are not routinely evaluated using serial test bleeds and analysis. Furthermore, there are numerous studies that show the cell-mediated immune response in cattle predominates during the early stages of infection and is responsible for the initial control of this infection [4,6,11]. However, despite the lack of data describing the temporal detection of specific antigens by host antibodies early post infection, these experiments are critical to gain a better understanding of the pathogenesis, diagnostics and vaccine strategies for Johne's disease. For example, the ideal diagnostic antigen would be detected early and remain easily detected throughout the course of the disease. Alternatively, a good vaccine candidate antigen might only be detectable by antibody at a specific stage of the disease. Thus far, no such antigen has been discovered for Johne's disease. The recent literature has revealed an emphasis on developing consensus animal models for Johne's disease study. One publication [12] is a result of an international meeting, sponsored by the Johne's Disease Integrated Program in the United States, which had the goal of proposing consensus animal models for each of the commodity groups including sheep and cattle as well as farmed deer in New Zealand. Detailed methods including dose, route, length of time for disease signs to appear, etc. were determined [12]. A second communication, published independently around the same time, provided similar information [13]. Prior to these comprehensive animal model reviews, we published a study describing the intratonsillar route of infection with M. paratuberculosis in neonatal calves [9]. Serial test bleeds were collected over the course of the 321-day study and analyzed for T cell and B cell responses using a variety of immunological assays. Selected test bleeds from that study were used on the protein array in the current study. The health status of these calves was further monitored using additional tests, including fecal culture and IS900 PCR. Although M. paratuberculosis was detected in all calves by 271 days post challenge, no clinical signs were observed in any animal throughout the study [9]. However, an antibody response was observed by 134 days post infection using a lipoarabinomannan-based ELISA test. A second study that evaluated an experimental infection of goats observed an antibody response as soon as 180 days post infection [14]. The study described herein combines the intratonsillar infection model [9] with newly developed protein array tools to obtain a temporal picture of antigen detection during the initial year of infection in cattle. While the concept of protein arrays has been around nearly as long as the DNA array, there are very few protein arrays available. This is because the process of constructing these arrays involves the production of dozens of specific proteins, a rate limiting and labor-intensive step when compared to oligonucleotide synthesis used in constructing DNA arrays. Nonetheless, studies using bacterial protein arrays are beginning to appear in the literature [15-17] due to the power provided by this tool for parallel protein analyses. Our laboratory initially developed a 48 spot protein array consisting of purified recombinant proteins representing selected M. paratuberculosis gene products [18]. That array was expanded to a 96-spot array and used in this study.

Results

Construction of a partial M. paratuberculosis protein array

A 96-spot protein array was constructed on nitrocellulose filters using a dot blot apparatus to imprint the array. Represented among these spots are 92 M. paratuberculosis recombinant fusion proteins including hypothetical proteins (20), known antigens (6), membrane proteins (10), and proteins with no similarity in public sequence databases (25). The affinity tag present within these recombinant fusion proteins is the maltose binding protein (MBP). MBP was also expressed as a fusion with the E. coli LacZ alpha peptide and used as a control to determine antibody reactivity to this tag in each experiment. In addition, there are two spots that contain a sonicated whole cell extract of M. paratuberculosis and one spot with only spotting buffer as a negative control. A complete listing of the proteins present on the array along with their sizes, concentration and predicted function are listed in Table 1.
Table 1

Mycobacterium avium subsp paratuberculosis proteins used in this study

Protein nameaConcentration (mg/ml)bGene sizecAmino acidsdPredicted function
MAP sonicate1.0NAeNANA
MAP00750.18423140conserved small membrane protein
MAP0087-his1.0717238probable secreted protein
MAP0105c1.241058352/889hypothetical protein
MAP0182c0.67411136conserved hypothetical protein
MAP02161.661028342/347antigen 85A, mycolyltransferase
MAP0261c0.49465154/16119 kDa protein
MAP03892.04947315/337diarylpropane peroxidase (EC 1.11.1.14) [Nostoc]
MAP07365.73744247hypothetical protein
MAP085210.4546181no BLAST hits
MAP08534.04660219no BLAST hits
MAP08550.34926308/314no BLAST hits
MAP0857c0.70318105hypothetical protein
MAP08580.44537178/182no BLAST hits
MAP0859c0.66609202Mycobacterium phage L5
MAP0860c0.04885294/296no BLAST hits
MAP08610.43342113no BLAST hits
MAP08620.48989329/360no BLAST hits
MAP08630.66675224no BLAST hits
MAP08647.42426141no BLAST hits
MAP08650.081272423Hypothetical 30.9 kDa protein
MAP08663.07804267integrase
MAP09040.81371124/246conserved hypothetical protein
MAP0961c0.18719239/352hypothetical protein
MAP10870.43441146prob. peptide transp. system permease, N-terminal
MAP1121c0.32498165putative substrate binding protein
MAP1174c1.64756251glucose-6-phosphate 1-dehydrogenase
MAP12042.61735244putative exported p60 protein homologue
MAP12330.04723240conserved hypothetical protein
MAP13450.69600199no BLAST hits
MAP13880.08396131no BLAST hits
MAP1416c0.45666221no BLAST hits
MAP1417c0.54435144no BLAST hits
MAP1609c0.05987328/330antigen 85B, mycolyltransferase
MAP1636c1.12425141/157no BLAST hits
MAP16430.452277759/762isocitrate lyase, [beta] module
MAP1655c0.93381126hypothetical protein
MAP1730c0.261023340putative ATP/GTP-binding protein
MAP1931c0.321104367anthranilate phosphoribosyltransferase
MAP2077c1.66330109hypothetical protein
MAP2116c0.271269422cell invasion protein
MAP2121c7.14887295/307major membrane protein I
MAP2121c-his0.99924307major membrane protein I
MAP21512.79438145no BLAST hits
MAP21559.57312103similar to IS6110
MAP21560.59963320putative transposase GEN: X52471)
MAP21570.381221406IS900
MAP21582.40582193no BLAST hits
MAP2182c0.26435144conserved hypothetical protein
MAP22310.311422473PKS-associated protein, unknown function
MAP2360c0.13534177hypothetical protein
MAP23802.00600200/550acyl-CoA synthase
MAP26570.26651216putative oxidoreductase
MAP2663c0.03510169putative integral membrane protein
MAP2676c1.30354117hypothetical protein
MAP27340.371341446putative dioxygenasesdiooxygenases
MAP27400.24666221putative membrane protein
MAP27510.70582193no BLAST hits
MAP27530.17309103/252hypothetical protein
MAP2761c0.03692230/238no BLAST hits
MAP2762c1.45425141/146no BLAST hits
MAP2764c0.1029096/149no BLAST hits
MAP2765c0.06539179/396no BLAST hits
MAP2767c0.42473157/183no BLAST hits
MAP2963c0.881499499/874no BLAST hits
MAP3084c-his1.0684227probable secreted protein
MAP31210.38855284enoyl-CoA hydratase/isomerase superfamily
MAP31290.09404134/141hypothetical protein
MAP31310.301096365/942conserved large membrane protein
MAP3155c1.2227390hypothetical protein
MAP34340.18690230/330possible membrane protein
MAP3437c0.29843279/280no BLAST hits
MAP3531c0.281034344/352antigen 85C, mycolytransferase
MAP3734c0.191559519/593putative ABC transporter ATP-binding protein
MAP3735c0.421181393/429part of heavy metal tolerance protein
MAP37430.85998332/348hypothetical protein
MAP37510.11879293/979conserved large membrane protein
MAP37530.641353450hypothetical protein
MAP3761c0.07729242conserved membrane protein
MAP37710.022949750S ribosomal protein L31
MAP3817c0.65939312no BLAST hits
MAP3833c0.13626208/260hypothetical protein
MAP38400.10187262370 kD heat shock protein, chromosome replication
MAP3902c0.15522173Serine/threonine kinase (EC 2.7.1.37) [Myc...
MAP3903c0.42531176Serine/threonine kinase (EC 2.7.1.37) [Myc...
MAP39540.0527992conserved hypothetical protein
MAP40140.21951316probable 4-amino butyrate transporter, N-terminal
MAP40250.32854284/325cytochrome c-type biogenesis protein
MAP41290.26965321/336ABC transporter
MAP41980.131283427/441SecY subunit of preprotein translocase
MAP4207c5.28686228/231probable ATP-binding transport protein
MAP41990.03540/546179/181probable adenylate kinase
MAP42280.0522273initiation factor IF-1

aProtein name corresponds to the genome project designation (Li et al., 2005). A second designation is included if known.

bProtein concentration is reported in as measured by Nanodrop spectrometry at 280nm.

cGene size is reported in base pairs (bp). In cases where only a portion of the M. avium subsp paratuberculosis gene was cloned, the number of bp present in the clone is reported first followed by the number of bp in the full-length M. avium subsp paratuberculosis gene.

dNumber of M. avium subsp paratuberculosis amino acids present in the fusion protein. In cases where only a portion of the M. avium subsp paratuberculosis protein is represented, the number of amino acids present is listed first followed by the total number of M. avium subsp paratuberculosis amino acids in the full-length protein.

eNA is not applicable.

Mycobacterium avium subsp paratuberculosis proteins used in this study aProtein name corresponds to the genome project designation (Li et al., 2005). A second designation is included if known. bProtein concentration is reported in as measured by Nanodrop spectrometry at 280nm. cGene size is reported in base pairs (bp). In cases where only a portion of the M. avium subsp paratuberculosis gene was cloned, the number of bp present in the clone is reported first followed by the number of bp in the full-length M. avium subsp paratuberculosis gene. dNumber of M. avium subsp paratuberculosis amino acids present in the fusion protein. In cases where only a portion of the M. avium subsp paratuberculosis protein is represented, the number of amino acids present is listed first followed by the total number of M. avium subsp paratuberculosis amino acids in the full-length protein. eNA is not applicable. The performance of the array was tested using a monoclonal antibody developed to the MBP tag as shown previously [18]. These experiments showed that all proteins containing the tag were readily detectable by immunoblot analysis (data not shown).

Humoral immune response of experimentally infected cattle

An analysis of serial bleeds collected from two experimentally infected calves was performed to temporally examine the humoral immune response to the arrayed M. paratuberculosis proteins. In general, the antibody response against the set of 92 proteins was remarkably similar between the two animals. One notable difference was that fewer proteins were recognized at day 70 in animal 5904 compared to 5902, as only 11 proteins compared to 27 proteins were detected, respectively (Figure 1 and Figure 2). However by day 194, animal 5904 had antibodies against more M. paratuberculosis proteins than did animal 5902. Serum from both animals detected similar numbers of proteins at the end of the study period (Figure 1). The pre-infection sera showed no detection of any of the recombinant proteins (Figure 2) and there was no detection of the MBP-LacZ protein for all time points suggesting that these calves do not have antibodies to the maltose binding protein (MBP) affinity purification tag.
Figure 1

Total number of . The graph shows the number of proteins on the 96-dot array (y-axis) that were detected at the day post infection (x-axis) for each calf. The total number of proteins detected is indicated on each bar. Note that similar numbers of proteins were detected by each animal at the end of the study period.

Figure 2

Use of the dot blot protein array to obtain antibody reactivity profiles of experimentally infected calves. Shown are the spot assignments for the array (A) and dot blot arrays exposed to sera from experimentally infected calves (B). The time point for when each serum sample was collected is indicated in the margin beneath the images. The animal number is listed in the right margin. A whole cell lysate representing a majority of the proteins produced by M. paratuberculosis is spotted in E12 and H12 for all dot blots. Three proteins present on the upper right corner of the array (in column 12) are polyhistidine tagged proteins (MAP0087, MAP2121c and MAP3084c). The remaining 89 spots contain MBP fusion proteins of M. paratuberculosis coding sequences. Note that the MAP2121c coding sequence is represented twice on the array; once as an MBP fusion (spot F4) and also a polyhistidine tagged protein (12B).

Total number of . The graph shows the number of proteins on the 96-dot array (y-axis) that were detected at the day post infection (x-axis) for each calf. The total number of proteins detected is indicated on each bar. Note that similar numbers of proteins were detected by each animal at the end of the study period. Use of the dot blot protein array to obtain antibody reactivity profiles of experimentally infected calves. Shown are the spot assignments for the array (A) and dot blot arrays exposed to sera from experimentally infected calves (B). The time point for when each serum sample was collected is indicated in the margin beneath the images. The animal number is listed in the right margin. A whole cell lysate representing a majority of the proteins produced by M. paratuberculosis is spotted in E12 and H12 for all dot blots. Three proteins present on the upper right corner of the array (in column 12) are polyhistidine tagged proteins (MAP0087, MAP2121c and MAP3084c). The remaining 89 spots contain MBP fusion proteins of M. paratuberculosis coding sequences. Note that the MAP2121c coding sequence is represented twice on the array; once as an MBP fusion (spot F4) and also a polyhistidine tagged protein (12B).

Temporal analysis of M. paratuberculosis proteins

The arrays exposed to cattle sera were analyzed by densitometry to obtain a quantitative measure of antibody reactivity (Table 2). When evaluating selected proteins over the course of the study, certain trends in reactivity appear to emerge for some proteins. For example, in both calves, antibody reactivity declined between day 194 and day 321 for a group of 11 proteins. This was especially true for MAP0862 and MAP2657, which showed the most severe decline among these 11 proteins (Table 2). The seven proteins that best fit into strong, moderate and weak response categories are shown in Figure 3. While strong and moderately detected proteins showed a wide range between the calves at days 70 and 194, this range was considerably reduced in the high category proteins at day 321 (Figure 3).
Table 2

Spot intensities of proteins present on the array.a

Cow 5902Cow 5904

Spot LocbProteinDay 0Day 70Day 194Day 321Day 0Day 70Day 194Day 321
A7MAP007504.47221.43121.1220027.61221.36
A12MAP0087-his0.9780001.1121.88201.228
A5MAP0105c06.9293.8675.0961.1862.32110.1061.813
B5MAP0182c05.40701.9241.1772.4091.61722.366
C4MAP02160.6523.7791.2961.3952.1753.44400
G4MAP0261c2.3952.2873.4875.6681.0973.1462.3972.496
E8MAP038907.8093.1631.81701.53316.7515.529
F8MAP07360.734000001.4460
A1MAP08522.2573.7472.9081.1472.5644.6612.7091.537
B1MAP08532.1443.7345.0958.4971.9614.1583.2392.649
C1MAP08552.5383.3874.5527.8981.7162.2482.1320
D1MAP0857c2.7096.44521.86737.7181.0451.60223.42515.825
E1MAP08583.0053.8821.7753.9991.978000
F1MAP0859c2.8214.1372.873.7451.90902.8030
G1MAP0860c2.99605.53112.7431.59207.6696.676
H1MAP08615.074c03.4073.0531.5464.053.1113.52
A2MAP08621.79540.03616.1967.9972.79611.45130.91812.422
B2MAP08631.5185.5243.1744.5922.0574.8913.2741.473
C2MAP08641.2553.441.7811.7262.0163.5600
D2MAP08651.90918.70832.13844.8461.3174.38631.36135.251
E2MAP08662.3467.0512.677.1161.3153.5614.0526.009
G8MAP09041.6780000000
G5MAP0961c1.79714.36626.537.5460.782.10333.04642.877
A11MAP10870.75353.17951.63470.9680.87433.46975.39268.964
B11MAP1121c0.7582.43802.0940.6993.36401.848
A10MAP1174c02.3013.1554.4110.6231.9215.814.955
C11MAP12040.7840.843.85655.046028.36761.12258.985
F2MAP12332.56812.37522.50732.4931.9323.21224.15730.447
C5MAP134503.3391.8611.0181.14703.4132.389
D5MAP138802.281000.4292.83500
E5MAP1416c01.647000.7913.79100
F5MAP1417c1.05214.8824.0956.2120.9553.9797.6143.521
D4MAP1609c0.7333.916001.0035.29200
G2MAP1636c3.2866.94413.24917.2721.701017.22612.06
B4MAP164304.15501.5341.827000
H8MAP1655c2.78800002.04900
G6MAP1730c1.14729.83143.87252.35012.27257.79957.47
B10MAP1931c02.91702.2170.5112.8862.0773.339
H5MAP2077c3.83302.7849.4431.38503.639.221
D11MAP2116c1.41829.8833.21542.6330.56811.2451.33647.918
F4MAP2121c1.764.1581.3731.5130.9693.00500
B12MAP2121c-his1.2470000.8892.17221.2262.155
H2MAP21514.1361.91912.68821.8971.5713.40224.61920.889
F12MAP21552.43401.38501.2512.03902.105
G12MAP21563.7312.32702.121.3572.6475.425.113
H6MAP21573.5040000.7511.5321.512.683
A3MAP21581.4033.4874.23.3963.1871.7046.6822.204
A9MAP2182c019.1017.3498.9330027.93512.096
E11MAP22311.8463.73211.5415.6711.166017.20318.933
B9MAP2360c03.1680002.76600
C10MAP23800.7722.1391.1980001.9683.225
D10MAP2657022.3728.293.68015.93739.17825.032
B7MAP2663c09.5943.6612.2480.86804.92.717
A6MAP2676c03.2911.4060002.0360
D7MAP27342.7269.10911.0319.2690027.93518.79
C7MAP274001.7366.44718.0610.50706.29510.804
B6MAP275103.1571.1012.3730.801.7292.206
C6MAP275301.90902.1760.62401.7012.585
D6MAP2761c00000000
E6MAP2762c000002.39700
B3MAP2764c1.4722.7391.9695.8742.135.4422.0391.955
H11MAP2765c4.81600004.79900
C3MAP2767c1.2573.5072.3037.0191.9824.3471.922.722
F6MAP2963c000002.20400
C12MAP3084c-his1.3130000.9992.02601.982
E10MAP31211.0790000000
C9MAP31291.4062.36601.206001.7312.865
E7MAP31310000001.4041.713
G11MAP3155c2.7832.5532.7253.8411.4352.2372.2264.865
F7MAP34340.8321.4018.31219.5220.508033.28914.418
D3MAP3437c1.6743.3211.291.5871.3591.96500
E4MAP3531c0.9267.3732.4724.3130.5582.8341.3740
G7MAP3734c1.0852.2382.71917.8090010.91420.81
E3MAP3735c1.9444.8975.07818.6181.3263.3683.8874.502
F3MAP37432.11323.87416.28216.7731.286.95321.30922.067
H7MAP37512.991000002.4993.033
D9MAP375302.9127.0433.2120018.9515.247
A8MAP3761c02.47314.93123.1780018.0221.264
G3MAP37712.812.2291.3442.5280.9531.99700
H3MAP3817c3.8362.52610.29822.8261.1011.55215.73619.901
E9MAP3833c1.07802.072.755003.6764.636
A4MAP38400.8234.9683.8424.5211.403010.0830
F9MAP3902c1.09500002.37600
G9MAP3903c1.7551.35501.02701.77200
H9MAP39543.426001.96907.5841.6123.629
F11MAP40142.2662.0355.4158.980.54505.2938.043
F10MAP40251.47425.13934.87639.022013.41349.65547.012
B8MAP412901.48901.363001.4352.585
C8MAP419801.5361.5176.817005.4316.175
G10MAP41991.9191.688000.8212.33900
D8MAP4207c1.9811.6911.8721.364003.6995.632
H10MAP42284.37300003.12200
H4MBP-LacZ4.128001.7221.303000
D12PBS bufferd1.67601.23600.8572.32202.003
E12Sonicatee2.6730001.2871.9362.9633.523
H12Sonicate5.011.359001.3664.3373.0024.472

aListed are the intensity values for each spot arranged by ascending MAP number. Measurements were made using a consistent 1804 pixel area circle to record spot density using the Adobe Photoshop CS3 Extended application.

bLoc is location on the dot blot array.

cThe strongest intensity for each time point is shown in bold.

dPBS buffer in spot D12 represents the spotting buffer only control.

eSonicate is a sonicated whole cell lysate of M. avium subsp paratuberculosis.

Figure 3

Temporal trends of protein reactivity in experimentally infected cattle. The lines show the average intensity for each protein over the course of the study period. The range observed between the two calves is indicated by statistical bars. Kernel Density Estimation performed on the log-transformed maximum intensity scores indicated there were three distinct normally distributed peaks. These distributions are statistically significant and define the proteins belonging to the weak, moderate, or strong response groups. The graph labeled high contains the seven proteins most strongly detected by the cattle sera and the graph labeled low contains the seven proteins that showed the least reactivity with cattle sera. The seven proteins in the medium category are also representative of reactive antigens that either showed low reactivity initially or declining reactivity with time.

Temporal trends of protein reactivity in experimentally infected cattle. The lines show the average intensity for each protein over the course of the study period. The range observed between the two calves is indicated by statistical bars. Kernel Density Estimation performed on the log-transformed maximum intensity scores indicated there were three distinct normally distributed peaks. These distributions are statistically significant and define the proteins belonging to the weak, moderate, or strong response groups. The graph labeled high contains the seven proteins most strongly detected by the cattle sera and the graph labeled low contains the seven proteins that showed the least reactivity with cattle sera. The seven proteins in the medium category are also representative of reactive antigens that either showed low reactivity initially or declining reactivity with time. Spot intensities of proteins present on the array.a aListed are the intensity values for each spot arranged by ascending MAP number. Measurements were made using a consistent 1804 pixel area circle to record spot density using the Adobe Photoshop CS3 Extended application. bLoc is location on the dot blot array. cThe strongest intensity for each time point is shown in bold. dPBS buffer in spot D12 represents the spotting buffer only control. eSonicate is a sonicated whole cell lysate of M. avium subsp paratuberculosis.

Identification of antigens detected early in M. paratuberculosis infection

Overall, the strongest antigen among this set of fusion proteins was encoded by MAP1087 (Figures 2 and 3). Antibody reactivity to this protein was observed in both animals by day 70 and remained the strongest detected protein throughout the course of the study (Figure 3 and Table 2). MAP1204, a putative p60 homolog, was also strongly detected by serum from both animals. Other antigens identified in these studies include MAP1730c, a putative ATP/GTP binding protein, and M. paratuberculosis hypothetical sequences MAP0865 and MAP0961c. MAP0865 contains the F57 DNA fragment which has previously been shown to be present uniquely in M. paratuberculosis [19] and resides on a 15.3 kb genomic island termed large sequence polymorphism 4 (LSP4) [20], making this protein an excellent candidate for use in a diagnostic test. Likewise, MAP0961c shows no sequence similarity in nucleotide databases and is present on a 13.5 kb segment of the genome termed LSP5 [20]. However, a similarity search of the SwissProt protein database reveals a glycosyltransferase domain that may be involved in cell envelope biogenesis. Furthermore, a corresponding ortholog, termed MUL_4677, was found in the recently published genome sequence of Mycobacterium ulcerans [21]. Therefore, caution must be used if this protein were to be considered for use in a diagnostic test. It is noteworthy that the whole cell sonicate antigen, which was spotted in duplicate on the protein array (12E and 12H), was not detected by either experimentally infected animal. This same antigen preparation reacted very strongly to anti-M. paratuberculosis sera from mice and rabbits previously [18]. In addition, two of three clinical cows showed an antibody response to the whole cell sonicate antigen [18] and hence it should be considered a potent preparation. This antigen preparation is likely similar to that used in the ELISA test.

Early antigens are detected by sera from naturally infected cattle in the subclinical stage of Johne's disease

A panel of sera collected from 9 cows in the subclinical stage of infection was analyzed by immunoblot against the two strongest antigens identified from the protein array experiments. These animals are housed at the National Animal Disease Center and are monitored four times a year for shedding of bacilli and immunological status as measured by ELISA assays for antibody and IFN-γ (Table 3). MAP1087 was detected in 4 of 9 serum samples (Figure 4, lanes 2–5) and very weakly reactive with another 2 serum samples (Figure 4, lanes 7 and 8). Three of the nine serum samples from the naturally infected cows detected MAP1204. Serum from cow 183 detected both MAP1087 and MAP1204 proteins. Likewise, serum from cow 113 detected both proteins although weakly for MAP1204. Neither antigen was detected by sera from three of the cows tested (Figure 4, lanes 1, 6, and 9). Finally, none of the sera from these animals detected the protein encoded by MAP0858, a protein that was also not detected by the experimentally infected cattle sera (Figure 2). These data suggest that MAP1087 and MAP1204 proteins may be detectable in M. paratuberculosis-infected animals prior to the clinical stage of disease. In conclusion, we hypothesize that while these antigens, if combined, would recognized by 66% of the subclinical cows, additional antigen(s) need to be included along with MAP1204 and MAP1087 in order to detect all nine subclinical cows.
Table 3

Culture and immunological status of cattle used in this study.

IFN-γ (mg/ml)c

Cow IDSurvey dateaFecal culture (CFU)bNSConAMPSELISA (S/P ratio)d
8512/20/05C, C, C, C0.0690.4540.2780.002
3/4/062, 2, 20.0610.1850.068ND
11212/20/05C, C, 21, 10.070.2180.0640.027
4/10/062, 1, 10.0631.830.090.014
1138/10/04C, C, C, C0.210.5140.0540.041
11/10/040, 3, 10.391.510.540.09
11712/17/04T, T, T, T0.0530.1430.097-0.052
3/1/05T, C, C0.0390.1740.046ND
18312/20/050, 0, C, C0.0540.2410.1451.42
4/7/063, 2, 00.0891.1340.1940.981
23512/20/050, 0, 0, 00.0680.3620.1140.039
3/4/060, 1, 10.050.350.0640.021
8348/10/040, 1, 0, 10.0330.3360.1420.87
11/11/040, 0, 00.0440.8060.0760.648
8718/10/04C, C, C, C0.0370.3610.0540.049
12/21/04C, 2, 10.0430.1890.0640.121
271512/20/052, 0, 1, 00.0671.30.3240.226
3/18/060, 0, 00.0590.2110.0620.044

aEach animal is surveyed quarterly to monitor progression of Johne's disease. The two most recent quarterly surveys are shown for each animal, but only sera collected on the most recent date was used for the immunoblot assay in Figure 4.

bFecal culture is reported as numbers of colony forming units (CFU) present on each HYEM slant (platings are in triplicate or quadruplicate). A "C" indicates the slant had bacterial growth other than M. paratuberculosis. A "T" designation means too many colonies to count on that slant.

cThe gamma interferon (IFN-γ) assay. Subclinical cows typically have a M. paratuberculosis sonicate (MPS) reading higher than the no stimulation (NS) reading, along with little or no colonies on fecal culture slants. The concanavalin A (ConA) reading is a positive control as cells are readily stimulated by this lectin protein.

dThe ELISA sample to positive (S/P) ratio is calculated from the optical density reading as described previously [11].

Figure 4

Slot immunoblot analysis of selected recombinant proteins with serum from cattle in the subclinical stage of infection. A preparative, single well gel was loaded with the protein indicated in the left margin and blotted onto nitrocellulose filters. The filters were placed into a slot blotting device and 1:500 dilutions of each cattle sera were loaded into independent slots. Each blot was further processed as described previously [29]. The positive control, indicated by the lane with a "+" sign above it, was probed with a monoclonal antibody developed against the MBP affinity tag as described previously [29]. These results demonstrate that MAP1087 and MAP1204 are detected by sera from naturally infected cattle in the subclinical phase of infection. Serum sample slot assignments: 1, cow 85; 2, cow 112; 3, cow 113; 4, cow 117; 5, cow 183; 6, cow 235; 7, cow 834; 8, cow 871 and 9, cow 2715.

Slot immunoblot analysis of selected recombinant proteins with serum from cattle in the subclinical stage of infection. A preparative, single well gel was loaded with the protein indicated in the left margin and blotted onto nitrocellulose filters. The filters were placed into a slot blotting device and 1:500 dilutions of each cattle sera were loaded into independent slots. Each blot was further processed as described previously [29]. The positive control, indicated by the lane with a "+" sign above it, was probed with a monoclonal antibody developed against the MBP affinity tag as described previously [29]. These results demonstrate that MAP1087 and MAP1204 are detected by sera from naturally infected cattle in the subclinical phase of infection. Serum sample slot assignments: 1, cow 85; 2, cow 112; 3, cow 113; 4, cow 117; 5, cow 183; 6, cow 235; 7, cow 834; 8, cow 871 and 9, cow 2715. Culture and immunological status of cattle used in this study. aEach animal is surveyed quarterly to monitor progression of Johne's disease. The two most recent quarterly surveys are shown for each animal, but only sera collected on the most recent date was used for the immunoblot assay in Figure 4. bFecal culture is reported as numbers of colony forming units (CFU) present on each HYEM slant (platings are in triplicate or quadruplicate). A "C" indicates the slant had bacterial growth other than M. paratuberculosis. A "T" designation means too many colonies to count on that slant. cThe gamma interferon (IFN-γ) assay. Subclinical cows typically have a M. paratuberculosis sonicate (MPS) reading higher than the no stimulation (NS) reading, along with little or no colonies on fecal culture slants. The concanavalin A (ConA) reading is a positive control as cells are readily stimulated by this lectin protein. dThe ELISA sample to positive (S/P) ratio is calculated from the optical density reading as described previously [11].

Discussion

Diagnosis of Johne's disease is difficult because as many as 90% of infected animals may show no signs of disease during sample collection and there is a lack of sensitive and specific assays that detect M. paratuberculosis early during infection. Antigen-based diagnostic tests for Johne's disease currently use a complex mixture of antigens, such as PPD or mycobacterial membrane fractions, that can exhibit cross reactivity with other mycobacteria [22]. Results from this study further suggest that using complex protein mixtures such as a whole cell sonicate extract may not be as sensitive when compared to a few recombinant proteins. This may be due to the heterogeneity of the sonicated extract where each protein is present in very small quantities. New scientific breakthroughs are expected from the recently completed genome sequence of M. paratuberculosis as this information now enables researchers to select and characterize M. paratuberculosis sequences of interest. Our interest is in characterizing those sequences that are novel and specific to M. paratuberculosis in order to develop the best available diagnostic tools. This study represents the most comprehensive M. paratuberculosis antigen analysis on a temporal scale. Data from this study provide a first look at how specific antibody reactivity changes over time and in direct comparison to other proteins. When a temporal analysis of serial bleeds from experimentally infected calves was undertaken, we discovered a 50-kDa protein that was detected by day 14 post-challenge and a 60-kDa protein was evident by day 42 [9]. However, these studies were performed with a whole cell extract as the antigen and thus the identity of these early antigens were never discovered. Nonetheless, these studies showed that a humoral immune response was initiated in calves within a short time period following exposure to M. paratuberculosis. The current study extends these initial findings by using a recently developed protein array to probe sera from these experimentally infected calves. The two proteins that elicited the strongest antibody reactivity were MAP1087, a probable peptide transport system permease and MAP1204, a p60 protein homolog. These proteins have a calculated size of 15.4 kDa and 25.4 kDa, respectively. Therefore, it is unlikely that the proteins encoded by MAP1087 and MAP1204 are the same 2 antigens detected in the initial study by Waters et al [9]. Although MAP1204 is much more conserved across the mycobacterial genus, both proteins are present as orthologs in at least the genome sequences of M. smegmatis and M. avium strain 104. This raises the potential for cross-reactivity if these antigens were incorporated into a diagnostic test for Johne's disease. A M. paratuberculosis protein array was initially constructed from 43 recombinant proteins and tested with sera from a variety of host species [18]. The protein array has since been expanded to include a total of 92 recombinant proteins for the current study. Additional experiments are planned that will use the protein array to examine antibody profiles of subclinical cattle versus clinical cattle. This study focused specifically on antigens detected early following infection of cattle with M. paratuberculosis. Performing a test to detect M. paratuberculosis antigens when clinical signs of the disease are already evident in the host, make the control of this disease by test and cull strategies futile. An optimized serological test that incorporates antigens detected at early times post-infection is a critical tool that animal producers/farmers need to control Johne's disease. In this way infected animals can be identified prior to shedding and exposure of herd mates to the disease causing bacterium. Regarding uninfected cows, one key advantage of the experimental model used is that each cow had its own animal-specific negative control (the preinfection bleed). This type of control is not available in most Johne's disease studies. In summary, a highly specific test that could identify infected animals within herds may have a greater and more immediate impact on cattle industries than any other current management approach, including vaccination. The ideal M. paratuberculosis protein antigen likely remains undiscovered simply because all the proteins produced by M. paratuberculosis are not represented on the current protein array. In this study, promising candidates have been found, but the genome sequence annotation suggests that M. paratuberculosis produces a total of 4,530 proteins [23]. Therefore, until a larger percentage of the genome has been evaluated in a parallel manner similar to this study, better antigens are still likely to be discovered. Another limitation to using a protein array for antigen discovery involves the identification of epitopes that may be formed by multiple protein complexes. This possibility cannot be revealed when proteins are produced and spotted in isolation such as on an array. Our laboratory, in collaboration with others, has successfully completed the genome sequence of this significant veterinary pathogen [23] and have used these data to identify coding sequences specific to M. paratuberculosis. Those studies have revealed less than 40 coding sequences that are uniquely present in M. paratuberculosis [24,25]. This surprisingly small number of unique coding sequences is primarily due to the genetic similarity among members of the mycobacteria [26]. Among these coding sequences, one gene, designated ISMAP02, is present in six copies distributed randomly in the genome [25,27]. Furthermore, we have evaluated the expression products from several of these M. paratuberculosis-specific sequences for immunoreactivity with sera from animals exposed to M. paratuberculosis [25,28]. Those studies identified proteins encoded by MAP0862, MAP2963c and MAP3732c as potential diagnostic antigens. The newly constructed M. paratuberculosis protein array has many of these same coding sequences represented. Both MAP0862 and MAP2963c were detected in each animal in this study, but MAP3732c is not present on the array used in the current study. The antigens identified in this study should be further evaluated with naturally infected animals in field trials before incorporation into a diagnostic test for Johne's disease.

Conclusion

Of the 92 recombinant M. paratuberculosis proteins analyzed in this study, 2 emerged as potential antigens for the early detection of Johne's disease in cattle. These proteins are encoded by MAP1087 and MAP1204. The combination of MAP1087 and MAP1204 detected more subclinical cows than either protein alone, suggesting that the ideal detection antigen will comprise a mixture of more than one protein. Finally, this is a pilot scale study that demonstrates the method is effective for use in a large-scale antigen discovery project.

Methods

Animals

All cattle used in this study were housed at the National Animal Disease Center (NADC) and handled using institutional care guidelines set by the animal care and use committee. Experimentally infected calves were put in biosafety level 2 containment immediately following birth to prevent exposure to environmental mycobacteria. Naturally infected subclinical cattle are contained on a field pasture-barn set up on site at NADC. The experimentally infected animals consisted of male Holstein calves less than 1 year of age [9]. The health status and infection procedure have been reported previously [9]. Briefly, calves were infected with M. paratuberculosis by instillation of four weekly doses of approximately 4 × 106 CFU (in 0.2 ml PBS) into both tonsillar crypts weekly from 2 to 5 weeks of age. The subclinical cows used in this study comprised Holsteins, Brown Swiss and Guernsey with ages that ranged from 2–7 years.

Protein array content

The protein array consists of a 96-dot format of proteins spotted onto nitrocellulose. There are 92 total M. paratuberculosis proteins recombinantly produced in E. coli with 89 of these using the pMAL-c2 expression vector (New England Biolabs), and 3 using the pET vector. All expression clones were sequenced to confirm that the cloned insert matched the native M. paratuberculosis gene and was in-frame with expression signals built into the expression vector. One spot on the array contains the MBP/LacZ protein used as a control to assess antibody reactivity to the MBP affinity tag. This control protein comprises the 42-kDa maltose binding protein along with the 8-kDa LacZ alpha peptide. Two spots contain a sonicated whole cell extract of M. paratuberculosis prepared as described previously [9] and one spot contains the PBS spotting buffer control only.

Protein array production

PBS was used as the spotting buffer and diluent for all M. paratuberculosis proteins. All protein arrays were sequentially produced and no single array was used for more than one experiment. To print each array, the nitrocellulose membrane, pre-soaked in PBS, was placed over a rubber gasket such that it covered all wells of the Bio-dot 96-well manifold apparatus (BioRad, Hercules, CA). The top of the Bio-dot apparatus was then positioned over the membrane and fastened in each corner. Each well was pre-washed with 200 μl of PBS followed by a brief vacuum to pull the buffer through the membrane. Diluted working stocks of purified proteins were stored in deep 96-well plates with a 1-ml capacity per round bottom well (Nalgene Nunc International). Transfer of these proteins from the deep well plate to the assembled Bio-dot apparatus was performed using an 8-channel multi-pipette. Each well of the assembled 96-well dot blot apparatus was loaded with the appropriate protein at a final concentration of 3 μg/well as measured in a NanoDrop spectrophotometer (Thermo Fisher Scientific) at 280nm. The PBS-diluted samples were allowed to flow through the membrane by gravity flow. Each well was rinsed with 200 μl of PBS, 0.1% Tween-20 (TPBS). The vacuum was engaged to pull the rinse solution through and the nitrocellulose membrane was removed from the apparatus and placed in a Petri dish containing a blocking solution (TPBS-BSA; PBS with 2% bovine serum albumin, 0.1% Tween-20). After 1 hour in the blocking solution, the immunoblot assay was performed.

Immunoblot analysis of the protein array

Serum from M. paratuberculosis infected calves were diluted in the blocking buffer and exposed to spotted arrays for two hours at room temperature on a rocker platform. All cattle sera were diluted 1:500. After three washes in TPBS, the nitrocellulose array was incubated for 1.5 h with Horse Radish Peroxidase-conjugated anti-bovine IgG antibody (Pierce) diluted at 1:20,000 in TPBS-BSA. This was followed by a final three washes in TPBS. Assay development was with SuperSignal detection reagents (Pierce) and Kodak BioMax MR film.

Quantitative analysis of spot intensity

Spot intensity was measured using the Adobe Photoshop CS3 extended application. This version has the ability to record pixel gray values using the measurement scale of 1 pixel equals 1 pixel. Each spot was measured identically using a window area of 1804 pixels. Values were exported into a spreadsheet for further analysis. The background statistics were calculated by determining the mean and standard deviation of the 24 spots within each array that had the least signal intensity. Each intensity score was compared to the calculated background intensity. Values that were within two standard deviations of the background mean were set to zero and all other intensity values were subtracted from the background mean to give positive intensity values that were adjusted for the array background. To determine the reactivity distribution of all proteins in the complete set, the highest intensity score for each protein was examined as a way to determine if there was distinct stratification of maximal antibody response. Kernel Density Estimation performed on the log-transformed maximum intensity scores indicated there were three distinct normally distributed peaks. These distributions define the proteins belonging to the low, medium, or high reactivity groups presented in Figure 3.

Authors' contributions

JPB conceived of the study, printed the protein arrays, participated in study design and coordination and drafted the manuscript. DOB provided bioinformatics support, statistical analysis and assisted with densitometric analyses of protein arrays. WRW and MVP conceived the experimental calf challenge model and performed the immunological characterizations. JRS carried out the immunoassays and determined immunological status for the subclinical cattle. MLP participated in the design of the study and performed bioinformatics analyses. All authors read and approved the final manuscript.
  29 in total

1.  Herd-level economic losses associated with Johne's disease on US dairy operations.

Authors:  S L Ott; S J Wells; B A Wagner
Journal:  Prev Vet Med       Date:  1999-06-11       Impact factor: 2.670

Review 2.  Model for immune responses to Mycobacterium avium subspecies paratuberculosis in cattle.

Authors:  Paul M Coussens
Journal:  Infect Immun       Date:  2004-06       Impact factor: 3.441

3.  Cytokine gene expression in peripheral blood mononuclear cells and tissues of cattle infected with Mycobacterium avium subsp. paratuberculosis: evidence for an inherent proinflammatory gene expression pattern.

Authors:  Paul M Coussens; Nitin Verman; Marc A Coussens; Michael D Elftman; Amanda M McNulty
Journal:  Infect Immun       Date:  2004-03       Impact factor: 3.441

Review 4.  Mycobacterium avium subsp. paratuberculosis in Veterinary Medicine.

Authors:  N B Harris; R G Barletta
Journal:  Clin Microbiol Rev       Date:  2001-07       Impact factor: 26.132

Review 5.  Johne's disease: a hidden threat.

Authors:  J R Stabel
Journal:  J Dairy Sci       Date:  1998-01       Impact factor: 4.034

6.  Genome scale comparison of Mycobacterium avium subsp. paratuberculosis with Mycobacterium avium subsp. avium reveals potential diagnostic sequences.

Authors:  John P Bannantine; Emily Baechler; Qing Zhang; LingLing Li; Vivek Kapur
Journal:  J Clin Microbiol       Date:  2002-04       Impact factor: 5.948

7.  Differential changes in heat shock protein-, lipoarabinomannan-, and purified protein derivative-specific immunoglobulin G1 and G2 isotype responses during bovine Mycobacterium avium subsp. paratuberculosis infection.

Authors:  A P Koets; V P Rutten; M de Boer; D Bakker; P Valentin-Weigand; W van Eden
Journal:  Infect Immun       Date:  2001-03       Impact factor: 3.441

8.  Early induction of humoral and cellular immune responses during experimental Mycobacterium avium subsp. paratuberculosis infection of calves.

Authors:  W R Waters; J M Miller; M V Palmer; J R Stabel; D E Jones; K A Koistinen; E M Steadham; M J Hamilton; W C Davis; J P Bannantine
Journal:  Infect Immun       Date:  2003-09       Impact factor: 3.441

9.  Expression and immunogenicity of proteins encoded by sequences specific to Mycobacterium avium subsp. paratuberculosis.

Authors:  John P Bannantine; Janis K Hansen; Michael L Paustian; Alongkorn Amonsin; Ling-Ling Li; Judith R Stabel; Vivek Kapur
Journal:  J Clin Microbiol       Date:  2004-01       Impact factor: 5.948

10.  Genomic homogeneity between Mycobacterium avium subsp. avium and Mycobacterium avium subsp. paratuberculosis belies their divergent growth rates.

Authors:  John P Bannantine; Qing Zhang; Ling-Ling Li; Vivek Kapur
Journal:  BMC Microbiol       Date:  2003-05-09       Impact factor: 3.605

View more
  11 in total

1.  Comparison of ante-mortem assays to assess progression/regression of paratuberculosis in individual dairy animals.

Authors:  Robert E Click; Craig L Van Kampen
Journal:  Virulence       Date:  2010 May-Jun       Impact factor: 5.882

2.  Flow cytometric detection of Mycobacterium avium subsp. paratuberculosis-specific antibodies in experimentally infected and naturally exposed calves.

Authors:  S Schillinger; P S Bridger; H Bulun; M Fischer; O Akineden; T Seeger; S Barth; M Henrich; K Doll; M Bülte; C Menge; R Bauerfeind
Journal:  Clin Vaccine Immunol       Date:  2013-07-24

3.  Development of a novel oral vaccine against Mycobacterium avium paratuberculosis and Johne disease: a patho-biotechnological approach.

Authors:  C Johnston; A Coffey; Jim O' Mahony; R D Sleator
Journal:  Bioeng Bugs       Date:  2009-10-23

4.  Identification of Novel Seroreactive Antigens in Johne's Disease Cattle by Using the Mycobacterium tuberculosis Protein Array.

Authors:  John P Bannantine; Joseph J Campo; Lingling Li; Arlo Randall; Jozelyn Pablo; Craig A Praul; Juan Antonio Raygoza Garay; Judith R Stabel; Vivek Kapur
Journal:  Clin Vaccine Immunol       Date:  2017-07-05

Review 5.  Oligonucleotide microarray technology and its application to Mycobacterium avium subsp. paratuberculosis research: a review.

Authors:  Radka Pribylova; Petr Kralik; Ivo Pavlik
Journal:  Mol Biotechnol       Date:  2009-01-06       Impact factor: 2.695

6.  Novel secreted antigens of Mycobacterium paratuberculosis as serodiagnostic biomarkers for Johne's disease in cattle.

Authors:  Antonio Facciuolo; David F Kelton; Lucy M Mutharia
Journal:  Clin Vaccine Immunol       Date:  2013-10-02

7.  The Effect of Mycobacterium avium Complex Infections on Routine Mycobacterium bovis Diagnostic Tests.

Authors:  Claire Barry; David Corbett; Douwe Bakker; Peter Andersen; Jim McNair; Sam Strain
Journal:  Vet Med Int       Date:  2011-06-13

8.  Fecal shedding and tissue infections demonstrate transmission of Mycobacterium avium subsp. paratuberculosis in group-housed dairy calves.

Authors:  Caroline S Corbett; Jeroen De Buck; Karin Orsel; Herman W Barkema
Journal:  Vet Res       Date:  2017-04-28       Impact factor: 3.683

9.  Marked Differences in Mucosal Immune Responses Induced in Ileal versus Jejunal Peyer's Patches to Mycobacterium avium subsp. paratuberculosis Secreted Proteins following Targeted Enteric Infection in Young Calves.

Authors:  Antonio Facciuolo; Patricia Gonzalez-Cano; Scott Napper; Philip J Griebel; Lucy M Mutharia
Journal:  PLoS One       Date:  2016-07-07       Impact factor: 3.240

10.  Identification of sero-reactive antigens for the early diagnosis of Johne's disease in cattle.

Authors:  Lingling Li; John P Bannantine; Joseph J Campo; Arlo Randall; Yrjo T Grohn; Robab Katani; Megan Schilling; Jessica Radzio-Basu; Vivek Kapur
Journal:  PLoS One       Date:  2017-09-01       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.