Meta-analysis of Johne’s disease in Iranian animals’ population (1999 - 2020)

Document Type : Original Articles

Authors

1 Department anaerobic bacterial vaccine Production and Research, Clostridia Research laboratory, Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran

2 Department of Food Hygiene, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran

3 Department of Poultry Diseases Research, Razi Vaccine & Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran

4 Razi Inst

5 موسسه رازی

10.32592/ARI.2024.79.1.168

Abstract

Abstract
Johne's disease occurs in domestic and wild animals worldwide. Paratuberculosis has severe economic impacts on the animal industry. Despite the significant economic losses, little knowledge is available on the epidemiological status of paratuberculosis in the animal population of Iran. The aim of this study was evaluating of the prevalence rate of the disease in the Iranian animals’ population with confidence interval and p-value. The search was conducted on the electronic international and national databases and screened. Then, sufficient and relevant data were extracted. Data were analyzed using STATA software v. 14. Prevalence disease rates were determined using random effect models. Fifty-two articles were included in the systematic review. According to the results, the overall disease incidence rate in Iran was 20.39%. The prevalence rate of JD was 22.33 (CI 95%, 18.87- 25.78) in the cattle population, and 25.61 (CI 95%, 21.43-29.78) in sheep. This study showed that cattle and sheep were the most commonly infected host. The highest prevalence rate of disease was 35.88 in Tehran (CI 95%, 16.77-54.99), followed by 32.86 (CI 95%, 25.07-40.65), and 20.10 (CI 95%, 14.63-25.58) in Khorasan Razavi, and Kerman, respectively. The lowest prevalence rate of JD was 2.27 in Ilam (CI 95%, 0.84- 3.70). Based on this result, molecular-based methods were proper compared to other diagnostic methods. This study reports MAP prevalence in dairy herds in the provinces of Iran. Due to infection transmission from animal sources to human and the potential role of MAP in human disease, is emphasize on the need for further study on this issue.

Keywords

Main Subjects


1. Introduction

Mycobacterium avium subsp. paratuberculosis (MAP) is the causative agent of paratuberculosis or Johne's disease (JD). The symptoms of paratuberculosis are chronic progressive weight loss and intermittent diarrhea ( 1 ). This disease has been reported among domestic and wild animals almost worldwide ( 2 ). It is responsible for significant annual losses in the livestock industry, such as decreased milk and meat production, reduced reproductive indexes, an increased predisposition to other diseases, high costs of diagnosis, culling of infected animals, and increased mortality ( 3 ). Furthermore, researchers have found a potential link between MAP infection and immune system disease, including Crohn's syndrome, Hashimoto's type I diabetes mellitus, blau syndrome, and multiple sclerosis ( 3 ). In Iran, JD was first reported in Syndhie and Jersaise cattle, Awassi sheep, and Najdi goats in the 1960s ( 3 ). Paratuberculosis has been reported in almost all regions of the country, including Tehran ( 4 ), East Azerbaijan ( 2 ), Khorasan Razavi ( 5 ), Fars ( 6 ), Isfahan ( 7 ), Markazi ( 8 ), and Khuzestan provinces ( 9 ). Paratuberculosis is a severe cause of economic losses and financial problems ( 2 ); nonetheless, tuberculosis and brucellosis are of concern and challenge in Iran. Although there is no definitive epidemiological data about the status of JD, it has been reported widely in Khorasan Razavi and Tehran provinces ( 4 , 10 - 12 ). In 2021, the number of cattle and calves was reported to be 5.6 million. The total population of sheep was reported to be 45.9 million heads, in 31 provinces of Iran. Considering limited data about the epidemiological status of Paratuberculosis in Iran, the present study aimed to evaluate the prevalence of the disease with confidence interval (CI) and p-value.

2. Materials and Methods

2.1. Data collection

The study was based on guidelines for the meta-analysis of studies in epidemiology. The search was conducted on the electronic international databases PubMed (http://www.ncbi.nlm.nih.gov/pubmed), Scopus (https://www.scopus.com/home.uri), and CABDirect (http://www.cabdirect.org/) from March 1999 to October 2020 using English keywords "JD OR Paratuberculosis" AND (cattle OR sheep OR goat OR camel OR buffalo) AND (feces OR milk OR semen OR intestinal mucosa OR rectum OR lymph nodes OR blood) AND (molecular OR histopathology OR ELISA OR culture) AND Iran. Furthermore, all relevant manuscripts in Iranian databases, including Scientific Information Database (SID) (www.sid.ir), Iranmedex (www.iranmedex.com), Magiran (www.magiran.com), Iranian National Library (www.nlai.ir), and Irandoc (www.irandoc.ac.ir) as well as conference proceeding and conference papers were searched with Persian keywords. This systematic review was not only limited to abstracts or titles, and the references from these manuscripts were searched for additional information.

2.2. Screening

Studies with insufficient data or details as well as articles not relevant to Iran were not included in the manuscript.

2.3. Inclusion criteria

All manuscripts presenting studies on the prevalence of MAP in Iran were considered. The above-mentioned inclusion criteria were extracted from all papers and listed in table 1.

Province Host Samples Method Year Ref
Khorasan Razavi cattle Stool-Milk PCR 2012 ( 12 )
Khorasan Razavi cattle Stool Nested-PCR 2010 ( 13 )
Culture
Chaharmahal and Bakhtiari cattle Stool Nested-PCR 2012 ( 14 )
Ziehl-Neelsen staining
Kerman cattle Stool Culture 2018 ( 15 )
PCR
Nested-PCR
Tehran cattle Stool Nested-PCR 2014 ( 16 )
Khuzestan goat Serum ELISA 2017 ( 17 )
Tehran cattle Stool ELISA-Culture 2017 ( 18 )
Khuzestan cattle Serum-Rectum ELISA 2017 ( 19 )
Ziehl-Neelsen staining
PCR
Khuzestan sheep Serum ELISA 2015 ( 20 )
Semnan and Ardebil camel Stool Ziehl-Neelsen staining 2015 ( 21 )
PCR
Hamadan Goat-sheep Rectum Ziehl-Neelsen staining 2005 ( 22 )
Ardebil cattle Stool Ziehl-Neelsen staining 2012 ( 23 )
Eastern-Azerbaijan cattle Stool-Milk Ziehl-Neelsen staining 2013 ( 24 )
PCR
Eastern-Azerbaijan cattle Milk Culture-PCR 2005 ( 25 )
Eastern-Azerbaijan cattle Stool-Milk PCR-Culture 2013 ( 2 )
Markazi cattle Serum ELISA 2012 ( 8 )
Tehran cattle Stool-Milk Nested-PCR 2010 ( 11 )
PCR
Esfahan cattle Stool Ziehl-Neelsen staining 2009 ( 7 )
Culture
Chaharmahal and Bakhtiari cattle Stool Nested-PCR 2009 ( 26 )
Ziehl-Neelsen staining
PCR
West Azerbaijan cattle Stool Culture 2012 ( 27 )
Khuzestan cattle ileocecal valve Ziehl-Neelsen staining 2006 ( 9 )
Khorasan Razavi cattle Milk-Stool Nested-PCR 2010 ( 5 )
Chaharmahal and Bakhtiari Cattle Blood-Semen Nested-PCR 2014 ( 28 )
Sheep
camel
‏Chaharmahal and Bakhtiari cattle Unknown Histopathology 2010 ( 29 )
West Azerbaijan cattle intestinal tissues Ziehl-Neelsen staining 2003 ( 30 )
Esfahan Sheep ileocecal valve Histopathology 2005 ( 31 )
goat
Tehran camel Serum ELISA 2012 ( 32 )
Khuzestan buffalo intestinal tissues Histopathology 2008 ( 33 )
Unknown Cattle Semen Nested-PCR 2010 ( 34 )
Fars Cattle Milk Nested-PCR 2012 ( 6 )
Alborz Cattle Serum ELISA 2016 ( 35 )
Eastern-Azerbaijan Cattle Stoool PCR 2018 ( 36 )
Tehran Cattle Stool LAMPa 2015 ( 10 )
Culture
ELISA
Eastern-Azerbaijan Cattle Milk Ziehl-Neelsen staining 2011 ( 37 )
Culture
PCR
‏Chaharmahal and Bakhtiari Cattle Milk PCR 2009 ( 38 )
Tehran Cattle Milk Culture 2012 ( 4 )
Nested-PCR
ELISA
Ziehl-Neelsen staining
Fars Cattle Milk Nested-PCR 2008 ( 39 )
Hamadan Cattle Stool Ziehl-Neelsen staining 2018 ( 40 )
Nested-PCR
Khorasan Razavi Cattle Stool-Milk PCR 2008 ( 41 )
Khuzestan Sheep ileocecal valve Ziehl-Neelsen staining 2002 ( 42 )
Goat
Fars Goat Ilium tissue-Mesenteric lymph node H&E staining 2018 ( 43 )
Ziehl-Neelsen staining
PCR
Khuzestan buffalo Serum-intestine-Liver-lymph node ELISA 2020 ( 44 )
PCR
Ziehl-Neelsen staining
Khuzestan Cattle Liver-Rectum-Serum PCR 2017 ( 45 )
Ziehl-Neelsen staining
ELISA
Fars Sheep Stool-Milk Culture 2019 ( 46 )
Khorasan Razavi Cattle Milk Culture 2019 ( 47 )
Nested-PCR
Ardebil Cattle Serum ELISA 2018 ( 48 )
Kohgiluyeh and Boyer-Ahmad Cattle Stool Ziehl-Neelsen staining 2005 ( 49 )
Khuzestan Cattle Serum ELISA 2021 ( 50 )
Sheep
Goat
Eastern-Azerbaijan Cattle Stool Ziehl-Neelsen staining 2009 ( 51 )
Culture
PCR
Unknown Sheep intestine Ziehl-Neelsen staining 2017 ( 52 )
Immunohistochemical
PCR
Ardebil Cattle Milk PCR 2017 ( 53 )
Ilam Sheep Unknown Histopathology 1999 ( 54 )
goat
aLoop-mediated isothermal amplification
Table 1.Characteristics of studies included in the meta-analysis study

2.4. Quality assessment

The included studies in the meta-analysis study were estimated for quality by methodological study.

2.5. Statistical analysis

The data were analyzed in STATA software (version 14) using Chi-squared (χ2) and I-square tests to evaluate heterogeneity. For significant heterogeneity (p-value of χ2<0.1 and I2 index >75%), the random-effects model was considered with a 95% CI.

3. Results

In this study, 357 articles were included with keywords in databases, of which 305 articles were excluded due to duplication (n=118), irrelevancy (n=169), and the absence of full text (n=118). Finally, 52 articles were included in the systematic review (Figure 1). This procedure is illustrated in figure 1, and table 1 presents all of the research used in this study.

Figure 1. Flowchart of screening of papers for present study

Prevalence of Johne's disease

From March 1999 to October 2017, out of 138 animal data, 21,650 samples were analyzed. The overall disease incidence rate in Iran was 20.39% (95% CI, 17.83-22.95). Cattle were the most common host animal used in this study (n=17,205), followed by sheep, goats, buffalos, and camels. Other species (wild mammals) were not found in any paper in Iran. The prevalence rate of JD was 22.33% (95% CI, 18.87-25.78) in the cattle population, 25.61% (95% CI, 21.43-29.78) in sheep, 10.12% (95% CI, 7.60-12.63) in goats, 7.44% (95% CI, 3.66-11.23) in camels, and 14.15% (95% CI, 8.13-20.17) in buffalos. This study pointed out that cattle and sheep were the most commonly infected hosts. The evaluation of the prevalence rate of JD with CI and p-value in the Iranian animal population is displayed in table 2 (I2=100; P<0.00).  In this study, feces and milk were the most common infected samples (Table 3). The most common diagnostic test used for the detection of MAP was the molecular-based test, followed by enzyme-linked immunosorbent assay (ELISA), histopathology, and culture, respectively. The prevalence rate of disease was 25.62% for the molecular-based test (95% CI, 21.80-29.43), followed by 18.84% (95% CI, 12.21-25.47), 14.15% (95% CI, 11.34-16.96), and 12.13% (95% CI, 2.20-22.07) for culture, histopathology, and ELISA, respectively (Table 4). The distribution of MAP infections in geographical locations is illustrated in figure 2. The highest prevalence rate of disease was 35.88% in Tehran (95% CI, 16.77-54.99), followed by 32.86% (95% CI, 25.07-40.65) and 20.10% (95% CI, 14.63-25.58) in Khorasan Razavi and Kerman, respectively. The lowest prevalence rate of JD was 2.27 in Ilam (95% CI, 0.84-3.70). Variations in JD population structure in the selected papers in Iran are depicted in figure 3. Based on our results, the pooled prevalence rate of JD was calculated in the individual studies of the selected literature, resulting in a pooled prevalence rate of 22.42% (95% CI, 19.04-25.81) using a random‐effect model.

Study Population studies sample prevalence, 95% CI Model
Cattle 100 17205 22.33, 18.87- 25.78 Random
Buffalo 8 779 14.15, 8.13-20.17 Random
Camel 6 337 7.44, 3.66-11.23 Random
Sheep 12 1754 25.61, 21.43- 29.78 Random
Goat 12 1575 10.12, 7.60 -12.63 Random
Total 138 21650 15.93, 8.95- 22.91 Random
p=0.00, I2 = 100.0
Table 2.Meta-analysis of prevalence rate of JD with confidence interval and p-value in the Iranian animals’ population
Study Population studies sample prevalence, 95% CI Model
Intestine 21 2624 19.48, 16.95- 22.02 Random
Blood &serum 17 6747 6.68, 4.75- 8.61 Random
Semen 2 195 11.32, 8.02-14.61 Random
Milk 41 5338 23.15, 14.22- 32.02 Random
Stool 46 5680 26.37, 21.74- 31.00 Random
Liver 3 394 11.10, 3.28-18.92 Random
Lymph node 5 392 14.74, 7.29- 22.19 Random
Total 135 21370 16.12, 9.52-22.72 Random
p=0.00, I2 = 100.0
Table 3.Meta-analysis of prevalence rate of JD with confidence interval and p-value in samples
Study Population studies sample prevalence, 95% CI Model
Molecular 64 8231 25.62, 21.80- 29.43 Random
Histopathology 37 3972 14.15, 11.34-16.96 Random
ELISA 15 6498 12.13, 2.20- 22.07 Random
Culture 21 2938 18.84, 12.21-25.47 Random
p=0.00, I2 = 100.0
Table 4.Meta-analysis of prevalence rate of JD with confidence interval and p-value based on diagnostic methods

Figure 2. Distribution of MAP infections in the geographical region of Iran1-9% Green 10-19% Blue20-29% Brown 30< RedUnknown White

Figure 3. Variation in JD population structure in the selected papers in Iran: a meta-analysis. A: PCR assay. B: Nested PCR assay. C: Culture. D: Ziehl-Neelsen staining. E: ELISA, and LAMP assay

4. Discussion

Mycobacterium avium subsp. paratuberculosis is an important disease of domestic and wild ruminants, causing worldwide economic losses to the livestock industry. Serious causes for concern are not only economic effects but also zoonotic aspects and public health ( 3 ). Iran has old records on infected animals with MAP, especially in cattle ( 3 ). A wide array of studies have pointed to the presence of MAP in animals ( 5 - 9 ). There is a paucity of data about the epidemiological status of Paratuberculosis in the animal population and the effects of JD on the animal industry.

Therefore, the present study aimed to evaluate the status of JD in the population of domestic animals using meta-analysis in Iran. Based on the results of this research, the frequency of positive cases in cattle and sheep was similar to the findings of a study by Chaubey, which demonstrated that the presence of MAP was in 43% of cattle, 41% of sheep, 36% of buffalos, and 23% of goats in India. Chaubey also reported an increased load of MAP in small ruminants ( 55 ). Another systematic review in 2014 reported MAP prevalence rates of 73.1% and 11.5% in cattle and sheep in Latin America and the Caribbean, respectively, suggesting that the frequency of the disease was high, especially in large animals ( 56 ). The detection methods for paratuberculosis are challenging due to the stage of the disease and the limitations of diagnostic methods (sensitivity, specificity, and accuracy of a diagnostic test). Molecular-based methods, ELISA, and culture are more frequently used to detect paratuberculosis compared to other tests. Ziehl-Neelsen and Hematoxylin & Eosin (H&E) staining (feces, milk, and tissue samples) are the most convenient diagnostic methods; nonetheless, it depends on the experience of the worker. Although the ELISA kit is quick and cheap for screening animals, due to the late detection of antibodies in the serum, it is not suitable in the early stages of the disease. Culture is considered the gold standard for detection ( 47 ). On the other hand, molecular-based methods are more sensitive than culture ( 2 ). In agreement with the results of a study by Hanifian, in this research, the molecular-based method was more sensitive than the other diagnostic tests ( 2 ). Several studies investigated the load of MAP worldwide. In a review article, the load of MAP was 3.3-82.4%, 10.7-33.7%, 1.7-11.2%, 2.5%, 9.4%, and 28% in cattle by ELISA in the United States, Denmark, Ontario, Canada, Chile, and India, respectively ( 55 ). Nonetheless, the load of MAP was 2.4-28.6%, 6.9%, 8.3%, 2%, 0.3%, 35%, and 67% in culture in the United States, England, Argentina, Czech Republic, Ireland, Australia, and India, respectively. Except for India, the load of MAP was lower using culture than ELISA. Furthermore, the loads of MAP using polymerase chain reaction (PCR) were 33%, 6-38.8%, and 32% in cattle in the USA, India, and Iran, respectively. In the Indian buffalo population, the load of MAP showed 46.2% and 100% using ELISA and PCR, respectively. In India, MAP appears endemic with high frequency ( 55 ). Based on our study, the camel was also reported to be similar to most Arab and Middle Eastern countries ( 57 ). Therefore, assiduous attention should be paid to all domestic animals as a source of infection. A study in 2009 investigated the seroprevalence of MAP individually and in herds using ELISA, and the frequency of infection was reported at 3.3% vs. 22%, 2.4-3.5% vs. (0-17%), 5.1% vs. 30%, in France, Italy, and Switzerland, respectively, demonstrating higher rates of herd infections than individual cases ( 1 ). Nowadays, Sweden, Norway, Queensland, South Australia, and Japan have regular herd monitoring and control programs. Sweden and some states in Australia eradicated JD in animals ( 58 ). Nevertheless, some countries, including South and Central America, Asia, and Africa, have not reported a formal control program for the eradication of JD. Based on our study result, the prevalence of paratuberculosis was estimated at approximately 36% and 33% in Tehran and Khorasan Razavi, respectively, which were the highest prevalence rates in Iran. The pooled prevalence of MAP was reported to be around 20% in domestic animals, similar to India ( 55 ). In Iran, despite the high prevalence of JD and the significant economic losses, there is still no regular program to monitor and control the disease. The control of paratuberculosis depends on several factors, such as the culling of infected animals, health issues, the status of farm management, and vaccination. Therefore, we should be planning a national program to control paratuberculosis. Today, an experimental recombinant PTb vaccine has been prepared and is being tested for use in cattle herds in Iran (unpublished data). The pooled estimated prevalence of the Iranian animal population was high; however, some degrees of variability were observed between host sample sizes. Due to the high prevalence of paratuberculosis, systematic training programs and the provision of information to farmers are also beneficial. Molecular tests were found to be highly sensitive to diagnose MAP. Therefore, this diagnostic method could be used for the diagnosis of MAP in laboratories. It is suggested that the screening of animals be performed with more sensitive tests, such as ELISA; nonetheless, we should be careful that no single test can detect all cases of the disease ( 59 ).

Acknowledgment

We would like to thank from all the people who contributed in this research

Authors' Contribution

Study concept and design: LAK

Acquisition of data: LAK

Analysis and interpretation of data: H.KA. and MH.FM

Drafting of the manuscript: L.AK

Critical revision of the manuscript for important intellectual content: N.M., K.T. and MHFM

Statistical analysis: H.KA. and MH.FM

Ethics

The manuscript does not contain clinical studies or patient data

Conflict of Interest

The authors declare no competing interests.

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