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The species of campy detection using antibody testing a synopsis and comprehensive analysis

Published: 19 Jun 2026 DOI: 10.52338/jodld.2023.1003 11 views

Abstract

Context : One of the main bacterial causes of foodborne illnesses is campylobacteriosis; infections caused by Campylobacter pose a serious risk to human health. It is challenging to diagnose campylobacteriosis since it necessitates the use of specialised culture methods and repu- table laboratory facilities. However, Campylobacter antigen or antibody can be immediately detected by serological diagnostic assays that do not require a culture. The purpose of this systematic review and me- ta-analysis was to evaluate the diagnostic performance of serological tests that are used to identify distinct species of Campylobacter in var- ious specimens. Techniques : A thorough and methodical search for literature was con- ducted using MEDLINE, PubMed, Scopus, and Google Scholar to find publications published between 1999 and 2021 that discussed the diag- nostic test accuracy of serological tests for the identification of Campy- lobacter species. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRIMSA) guidelines were followed in conducting this literature search. Only articles that satisfied the predetermined se- lection criteria were added to the meta-analysis. QUADAS-2 was used to evaluate the included papers’ methodological quality in duplicate. Software called MetaDisc 1.4 was used to analyse the performance of the pooled tests. Findings : The study had 13 publications in total. The test results were extracted, including the sensitivity, specificity, test efficiency (TE), nega- tive predictive value (NPV), and positive predictive value (PPV). Next, an analysis was conducted on the serological tests for Campylobacter spe- cies, focusing on the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio. 7.0.3 and 99.8, 6 and 100, 36 and 100, 17.6 and 100, and 75.8 and 99.8 were the lowest and highest recorded sensitivity, specificity, PPV, NPV, and TE, respec- tively. Significant he

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Research Article The species of Campy detection using antibody testing: a synopsis and comprehensive analysis Moinshet Railu *Corresponding Author : Moinshet Railu, College of Health Sciences, Addis Ababa University, Ethiopia. Received : September 18, 2023 Accepted: September 19, 2023 Published : October 19, 2023 Abstract

Context : One of the main bacterial causes of foodborne illnesses is campylobacteriosis; infections caused by Campylobacter pose a serious risk to human health. It is challenging to diagnose campylobacteriosis since it necessitates the use of specialised culture methods and repu- table laboratory facilities. However, Campylobacter antigen or antibody can be immediately detected by serological diagnostic assays that do not require a culture. The purpose of this systematic review and me- ta-analysis was to evaluate the diagnostic performance of serological tests that are used to identify distinct species of Campylobacter in var- ious specimens. Techniques : A thorough and methodical search for literature was con- ducted using MEDLINE, PubMed, Scopus, and Google Scholar to find publications published between 1999 and 2021 that discussed the diag- nostic test accuracy of serological tests for the identification of Campy- lobacter species. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRIMSA) guidelines were followed in conducting this literature search. Only articles that satisfied the predetermined se- lection criteria were added to the meta-analysis. QUADAS-2 was used to evaluate the included papers’ methodological quality in duplicate. Software called MetaDisc 1.4 was used to analyse the performance of the pooled tests. Findings : The study had 13 publications in total. The test results were extracted, including the sensitivity, specificity, test efficiency (TE), nega- tive predictive value (NPV), and positive predictive value (PPV). Next, an analysis was conducted on the serological tests for Campylobacter spe- cies, focusing on the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio. 7.0.3 and 99.8, 6 and 100, 36 and 100, 17.6 and 100, and 75.8 and 99.8 were the lowest and highest recorded sensitivity, specificity, PPV, NPV, and TE, respec- tively. Significant heterogeneity was present. The combined values for LR+, LR-, DOR, specificity, and sensitivity were 86.7, 93.9, 15.4, 0.12, and 145.3, in that order. With an area under the curve (AUC) value of greater than 0.97, the overall diagnostic accuracy of serological tests in identi- fying Campylobacter species from various specimens was very good. In conclusion, there is variability in the diagnostic test accuracy of sero- logical tests used to rule out campylobacteriosis in various specimens. Nonetheless, these serological tests have extremely good pooled diag- nostic test accuracy. It is therefore advised to use serological testing in situations where other culture- or molecular-based approaches are unavailable.There have been reports of ulcerative colitis and ase in Iran.11, 12 Naturally, our study has certain numerical constraints. The in-patient data came from a single hospital’s GILD ward. Therefore, since many of these people proceed straight from our out-pa- tient department to the surgical ward without admission to the GILD ward, this study may have underestimated disorders like gallstones and GI malignancies. Articles meeting the predetermined selection criteria were included in the meta-analysis, despite the fact that Shariati Hospi- tal serves as a major referral facility for the entire nation and Tehran’s population is multiethnic. QUADAS-2 was used to evaluate the included papers’ methodological quality in duplicate. Software called MetaDisc 1.4 was used to analyse the performance of the pooled tests.low among Iranian men, in contrast to those in wealthy nations. Despite being the most frequent cancer among women in Iran, the country’s rates of breast cancer remain low when compared to other countries, particularly those in the US and Europe. Comparably, Iran has a very low incidence of cervical cancer—even lower than in low-risk nations like China, Kuwait, and Spain. We ought to design more exten- sive databases for in-patient data in the future, incorporating hospitals that are typical of every location in Iran. You can also make use of information from the recently formed fam- ily physician network Creating a suitable database for electronic data gathering in clinics and hospitals is a requirement for this In conclusion, there is variability in the diagnostic test accuracy of serological tests used to rule out campylobacteriosis in various specimens. Nonethe- less, these serological tests have extremely good pooled diagnostic test accuracy. It is therefore advised to use serological testing in situations where other culture- or molecular-based approaches are unavailable. www.directivepublications.org Page - 1 Journal of Digestive and Liver Diseases

Research Article Keywords : Campylobacter; Diagnosis; Sensitivity; Specificity; Serological test INTRODUCTION 34 species make up the gram-negative, non-spore-forming ge- nus Campylobacter [1]. The two most well-known species are C. jejuni and C. coli, which cause gastroenteritis in humans, but more species are also becoming known [2]. From a metabol- ic perspective, low oxygen tension environments (5% O2, 10% CO2, and 85% N2) are ideal for the survival and growth of mi- croaerophilic bacteria [3]. One of the most common bacteria that cause foodborne infections worldwide is Campylobacter, and it mostly causes gastroenteritis. Eighty to eighty-five per- cent of human infections are caused by C. jejuni, while the re- mainder instances are primarily linked to C. coli [4]. Because it impacts the health of both humans and animals, it is a global public health concern. The frequency of Campylobacter species from various sources is periodically rising sharply as a result of human-animal con- tact [4]. The existing data indicate that Campylobacter infection is endemic throughout Africa, Asia, and the Middle East, despite the fact that epidemiological data from these locations are cur- rently lacking [5]. To cultivate Campylobacter Species (SP), ad- vanced microbiological methods are needed, and the process takes longer than 48 hours. Apart from microbiological meth- ods, Polymerase Chain Reaction (PCR) is another approach that can be used to detect Campylobacter spp. However, this method also necessitates well-established testing laboratories. These factors account for the extremely low detection rates of Campylobacter spp. in underdeveloped nations relative to high-income nations [3]. From various samples, the Campylo- bacter antigen can be directly detected using serological test- ing. Serological tests do not require complex laboratories or a lot of time, in contrast to microbiological and genetic methods for detecting Campylobacter spp. [6]. Furthermore, there is no special laboratory setup required to perform these serological assays, making them simple to do. There is insufficient informa- tion available about the combined diagnostic accuracy of the tests, despite the possibility that serological approaches could be diagnostically significant for clinical decision making. In light of the potential significance of the results for policy makers, this study set out to ascertain the pooled diagnostic test accuracy of serological tests for Campylobacter spp. from various spec- imens. Methods Eligibility Criteria This study covered publications that discussed the sensitivity and specificity of serological testing for Campylobacter spe- cies. Sample size, appropriate statistical measurement, and the use of culture or a combination of culture and qPCR as the gold standard are examples of quality markers. For this review, studies with a minimum of 60 samples, cross-sectional studies, and surveillances with a response rate of more than 80% were included. Sources of Information and Search Techniques From 1999 to March 17, 2021, MEDLINE articles were searched using PubMed, Scopus, and Google Scholar. To find more ma- terial, manual searches and certain articles’ reference lists were also employed. Two search iterations were conducted, utilising Medical Subject Headings (MeSH) terms and key words such as serological testing, sensitivity, specificity, and Campylobacter species. Process of Study Selection and Data Collection Every article that was identified was exported to the EndNote 20 library. Reading the work’s title, abstract, and final review came first in the screening process. The articles were evaluated inde- pendently for inclusion. In a similar vein, each of the two writers separately gathered data from the listed publications. Discus- sions were used to settle disagreements on the data items. Definitions of Data Items Any commercial serological test examined for the identification of Campylobacter species from specimens was considered an index test. The reference test was a standard culture, and sam- ples that tested positive for the reference test were deemed true positives; those that tested negative were deemed true negatives. The reference test could be performed with or with- out other tests, such as the index test. Terms like sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ra- tio (LR-), diagnostic odds ratio (DOR), and hierarchical summary receiver operating characteristic (HSROC) curve that are associ- ated with diagnostic test accuracy are described and defined in detail in reference [7]. Bias and Applicability Risk The QUADAS-2 tool was utilised to evaluate the methodological www.directivepublications.org Page - 2 Journal of Digestive and Liver Diseases

Research Article quality of the included publications in duplicate. This instrument is used to examine the diagnostic test accuracy (DTA) [7, 8]. The tool comprises three domains for applicability judgement and four domains for risk of bias judgement. A study is deemed to have “low risk of bias” if it has “low” ratings across the board for bias and applicability. A study is classified as having “high risk or unclear risk of bias/applicability” if it has a “high” or “unclear” rating across multiple domains [8]. Results Synthesis and Meta-Analysis The MetaDisc 1.4 programme was used to carry out the analy- sis. This programme is a thorough and specialised test accuracy meta-analysis programme [9]. Sensitivity, specificity, diagnostic DOR, LR+, LR-, and the Summary Receiver Operating Character- istic (SROC) curve were the summary metrics used to assess the accuracy of diagnostic tests. At the assay level, these summa- ry metrics were determined. Tables were used to summarise the results for sensitivity, specificity, DOR, LR+, and LR-. Forest plots were used to visually evaluate heterogeneity. The random effects technique was used since the Diagnostic Test Accuracy (DTA) naturally exhibits heterogeneity. To visualise the land- scape of the serological tests, the SROC curve was also used. The random effects model was employed to reduce the impact of heterogeneity because the I2 was greater than 50%. The as- says’ DTA was calculated by evaluating the Area Under Curve (AUC). Results Data Selection and Study Characteristics Articles were chosen in accordance with the flow diagram (Figure 1) of PRIMSA 2009 [10]. Seven additional papers were found through manual search after the first 126 articles were obtained from various databases. After that, 23 articles were deleted for being duplicated. Out of the 110 publications that were evaluated, 97 were eliminated because of incorrect titles and abstracts, irrelevant data, or inadequate data. Out of the 39 publications that met the data criterion, 26 were deemed ineligible for full text examination. Lastly, the meta-analysis had 13 publications that matched the eligibility criteria. A summary of the features of the research that were part of our meta-anal- ysis can be found in (Table 1). The 13 publications, which were released between 1999 and 2021, detailed the results of 20 se- rological tests that were run on a total of 4207 specimens with various origins. including skin samples from people, animals, and the environ- ment, faeces, preputial wash, and sera. Numerous serological assays utilising various principles were included, such as en- zyme immunoassay, immunochromatography, and comple - ment fixation principles. The majority of the tests were enzyme immunoassays. The studies assessed the DTA of the serological assays using reference tests. The reference tests consist of ei- ther a combination of assays other than culture or a combina- tion of culture and other assays.Individual Study Outcomes A standard formula was used to determine the diagnostic accu- racy of each test, taking into account the number of TP, TN, FP, and FN specimens. Positive predictive value (PPV) (TP/TP+FP), negative predictive value (NPV) (TN/TN+FN), specificity (TN/ TN+FP), sensitivity (TP/TP+FN), and test efficiency (TE) (TP+TN/ TP+TN+FP+FN) of The specific assays are shown in (Table 1). The individual test results for the lowest and highest reported sensitivity, specificity, PPV, NPV, and TE were 17.6 and 100, 6 and 100, 36 and 100, 70.3 and 99.8, and 75.8 and 99, respective- ly. The complement fixation test, monoclonal antibody ELISA on preputial wash specimens, Ridas-creen campylobacter enzyme immunoassay, and EIA-Foss enzyme immunoassay were shown to have the lowest sensitivity, specificity, PPV, NPV, and TE for individual tests, respectively. Conversely, monoclonal antibody ELISA on preputial wash specimens was shown to have the low- est specificity and test efficiency. As opposed to other tests, this one had the highest sensitivity (100%) of all. The best specificity and PPV (100%) were demonstrated by ProspecT enzyme im - munoassay, while ICA immunochromatography and EIA The high-est NPV was replaced by the enzyme immune assay. Over- all, ProSpecT enzyme immunoassay performed better for TE. According to Table 1, the assays’ average sensitivity, specificity, PPV, NPV, and TE were 84.7, 88.8, 82.2, 90.9, and 90.2. In their evaluation of the DTA of two immunochromatography assays using 305 patient-collected stool specimens, Bessede et al. [11] found that Ridaquick Campylobacter performed better than ImmunoCard STAT. The effectiveness of three tests that use the enzyme immunoassay principle—Meridian EIA, Remel EIA, and Meridian STAT!—was also assessed by Granato et al. [12]. Based on their findings, 485 stool specimens with TE≥96% were successfully identified as belonging to a Campylobacter species by every test. ELISA displayed the lowest specificity (6%) and the highest specificity (%) in bovine preputial wash speci- mens. In contrast, the complement fixation test demonstrated the lowest sensitivity of 17.6% in identifying antibodies against www.directivepublications.org Page - 3 Journal of Digestive and Liver Diseases

Research Article Campylobacter species from 153 sheep serum. sensitivity (100%) [18]. [19]. In stool specimens, the ProspecT enzyme im- munoassay demonstrated perfect specificity (100%) for identi- fying Campylobacter jejuni antibodies [22]. When compared to other immunoassays, the Prospect enzyme immunoassays had superior diagnostic accuracy with TE≥89% [15,20,22], however the EIA-Foss enzyme immunoassay demonstrated the lowest diagnostic accuracy (TE: 70.3%) [17].

Discussion Few papers that describe the diagnostic performance of sero- logical tests for Campylobacter spp. were found in our search of the literature. Just 13 papers were chosen for examination out of the 133 that were found using manual searches and databas- es. These papers primarily describe the outcomes of serologi- cal tests using complement fixation, immunochromatography, and enzyme immunoassay to detect Campylobacter spp. Most regions of the world are seeing an increase in campylobacter infections. The list of nationally notifiable diseases was expand- ed to include campylobacteriosis in 2015 [24]. However, due to the lack of a national surveillance programme and the irregular availability of culture for Campylobacter species in clinical and research settings, the true frequency of Campylobacter spp. is still not adequately presented [4]. Different serological assays are available to identify Campylo- bacter. These serological tests have lower costs and quicker turnaround times than culture-based approaches for detecting Campylobacter [25]. The sensitivity and specificity of a multi- center research based on stool antigen detection ranged from 79.6% to 87.6%, 95.9 to 99.5%, and 41.3 to 84.3% for the posi- tive predictive value, respectively [26]. Variations in sample size, variations in the types of specimens utilised, and variations in the intrinsic accuracy of the various test procedures could all contribute to variations in sensitivity, specificity, and positive predictive value. API A promising identification method is the use of a Campy, Neisseria-Haemophilus (NH) identification card and matrix aided laser desorption ioniz- ation time of flight mass spectrometry (MALDI-TOF MS). technique for species of Campylobacter [27]. Among these tests, the monoclonal anti- body ELISA test had a 100% sensitivity, while the MALDI-TOF mass spectrometry test had a 100% accuracy rate with a 98.3% sensitivity [27]. [18]. The primary challenge in diagnosing cam- pylobacteriosis is that Campylobacter species identification primarily depends on culture [28]. The susceptibility of Campy- lobacter to perish during handling and the challenge of identify- ing tiny colonies amid competing faecal flora restrict the accura- cy of culture [29]. It is unknown how little Campylobacter can be grown in stool samples at this time. The relationship between the quantity of germs found by culture and culture-indepen- dent serological testing and clinical signs of diarrhoea [30, 31]. Understanding this estimate is useful for researching Campylo- bacter spp. asymptomatic carriage, particularly in endemic en- vironments. According to Buss et al. [32], there was a range of 0.3-5 x 106 CFU/mL in the detection limits for Campylobacter in culture. The CAMPYLOBACTER QUIK CHEKTM test, an FDA-ap - proved fast membrane-based EIA, has a detection threshold of 8.4 × 104 CFU/mL for C. jejuni and 7.7 × 105 CFU/mL for C. coli [32]. Microspheres that glow The limit of the labelled immu- nochromatographic test is 106 CFU/ml [33]. Because serologic assays can identify even very small amounts of Campylobacter spp. in a sample, they are particularly valuable in epidemiologic research and Campylobacter surveillance [34]. The results of this meta-analysis offer useful guidance on sero- logical techniques that are independent of culture for the de- tection of Campylobacter species. Not only will this information be helpful for large and small diagnostic laboratories, but it will also yield unexpected results on underreported Campylobacter species. Excellent sensitivity, specificity, negative predictive val- ue, positive predictive value, and test efficiency characterise these culture-independent serological techniques. The results imply that clinical decision-making should involve serological testing. Because these tests are inexpensive, quick to complete, and require simple laboratory settings, they may be more im- portant to utilise than culture-dependent procedures, particu- larly in low- and middle-income nations where the application of molecular and culture techniques is limited. REFERENCES 1. Sinulingga TS, Aziz SA, Bitrus AA, Zunita Z, Abu J (2020) Oc- currence of Campylobacter species from broiler chickens and chicken meat in Malaysia. Tropical Animal Health and Production 52(1): 151-157. 2. Fitzgerald C (2015) Campylobacter. Clin Lab Med 35(2): 289-298. www.directivepublications.org Page - 4 Journal of Digestive and Liver Diseases

Research Article 3. Facciolà A, Riso R, Avventuroso E, Visalli G, Delia SA, et al. (2017) Campylobacter: from microbiology to preven- tion. Journal of preventive medicine and hygiene 58(2): E79-E92. 4. Gharbi M, Béjaoui A, Ben Hamda C, Jouini A, Ghedira K, et al. (2018) Prevalence and Antibiotic Resistance Patterns of Campylobacter spp. Isolated from Broiler Chickens in the North of Tunisia. BioMed research international 2018: 7943786. 5. Hlashwayo DF, Sigaúque B, Bila CG (2020) Epidemiology and anti- microbial resistance of Campylobacter spp. in animals in Sub-Saharan Africa: A systematic review. Heliy- on 6(3): e03537. 6. Couturier MR (2016) Revisiting the Roles of Culture and Culture-In- dependent Detection Tests for Campylobacter. J Clin Microbiol 54(5): 1186-1188. 7. Macaskill P, Gatsonis C, Deeks J, Harbord R, Takwoingi Y (2010) Coch- rane handbook for systematic reviews of diagnostic test accuracy. Ver- sion 09 0 London: The Co- chrane Collaboration. 8. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, et al. (2011) QUADAS-2: a revised tool for the quality as- sessment of diagnostic ac- curacy studies. Ann Intern Med 155(8): 529-536. 9. Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A (2006) Me- ta-DiSc: a software for meta-analysis of test ac- curacy data. BMC Medical Research Methodology 6(1): 31. 10. Moher D, Liberati AA, Tetzlaff J, Altman DG (2009) Pre- ferred reporting items for systematic reviews and me- ta-analyses: the PRISMA statement. BMJ 339: b2535. 11. Bessède E, Asselineau J, Perez P, Valdenaire G, Richer O, et al. (2018) Evaluation of the diagnostic accuracy of two im- munochromatograph- ic tests detecting campylobacter in stools and their role in campylo- bacter infection diagno- sis. Journal of clinical microbiology 56(4): e01567-e01617. 12. Granato PA, Chen L, Holiday I, Rawling RA, Novak-Weekley SM, et al. (2010) Comparison of premier CAMPY enzyme immunoassay (EIA), ProSpecT Campylobacter EIA, and Im- munoCard STAT! CAMPY tests with culture for laboratory diagnosis of Campylobacter enteric infec- tions. Journal of clinical microbiology 48(11): 4022-4027. 13. Borck B, Stryhn H, Ersbøll AK, Pedersen K (2002) Thermo- philic Cam- pylobacter spp. in turkey samples: evaluation of two automated enzyme immunoassays and conven - tional microbiological techniques. Journal of Applied Mi- crobiology 92(3): 574-582. 14. Schnee AE, Haque R, Taniuchi M, Uddin MJ, Petri WA (2018) Evalua- tion of two new membrane-based and microtiter plate enzyme-linked immunosorbent assays for detection of Campylobacter jejuni in stools of Bangladeshi children. Journal of clinical microbiology 56(9): e00702-e00718. 15. Hindiyeh M, Jense S, Hohmann S, Benett H, Edwards C, et al. (2000) Rapid detection of Campylobacter jejuni in stool specimens by an en- zyme immunoassay and surveillance for Campylobacter upsaliensis in the greater Salt Lake City area. Journal of clinical microbiology 38(8): 3076-3079. 16. Regnath T, Ignatius R (2014) Accurate detection of Cam- pylobacter spp. antigens by immunochromatography and enzyme immunoassay in rou- tine microbiological labora- tory. Eur J Microbiol Immunol (Bp) 4(3): 156-158. 17. Hoorfar J, Nielsen EM, Stryhn H, Andersen S (1999) Evalua- tion of two automated enzyme-immunoassays for detec- tion of thermophilic cam- pylobacters in faecal samples from cattle and swine. Journal of Micro- biological Meth- ods 38(1): 101-106. 18. Brooks BW, Devenish J, Lutze-Wallace CL, Milnes D, Rob- ertson RH, et al. (2004) Evaluation of a monoclonal anti- body-based enzyme-linked immunosorbent assay for detection of Campylobacter fetus in bovine preputial washing and vaginal mucus samples. Veterinary Microbi- ology 103(1-2): 77-84. 19. Gürtürk K, Ekin IH, Aksakal A, Solmaz H (2002) Detection of Campylo- bacter antibodies in sheep sera by a Dot-ELISA using acid extracts from c. fetus ssp. fetus and c. jejuni www.directivepublications.org Page - 5 Journal of Digestive and Liver Diseases

Research Article strains and comparison with a comple- ment fixation test. Journal of veterinary medicine B, Infectious diseases and veterinary public health 49(3): 146-151. 20. Tolcin R, LaSalvia MM, Kirkley BA, Vetter EA, Cockerill FR, et al. (2000) Evaluation of the Alexon-trend ProSpecT Cam- pylobacter microplate assay. J Clin Microbiol 38(10): 3853- 3855. 21. Tissari P, Rautelin H (2007) Evaluation of an enzyme im- munoassay- based stool antigen test to detect Campylo- bacter jejuni and Campylo- bacter coli. Diagnostic Micro- biology and Infectious Disease 58(2): 171- 175. 22. Endtz HP, Ang CW, van den Braak N, Luijendijk A, Jacobs BC, et al. (2000) Evaluation of a New Commercial Immu- noassay >for Rapid De- tection of Campylobacter jejuni in Stool Samples. European Journal of Clinical Microbiology and Infectious Diseases 19(10): 794-7. 23. Franco J, Bénejat L, Ducournau A, Mégraud F, Lehours P, et al. (2021) Evaluation of CAMPYLOBACTER QUIK CHEK™ rapid membrane en-zyme immunoassay to detect Cam - pylobacter spp. antigen in stool sam- ples. Gut Pathogens 13(1): 4. 24. Adams DA, Thomas KR, Jajosky RA, Foster L, Baroi G, et al. (2017) Summary of notifiable infectious diseases and con- ditions--United States, 2015. MMWR Morb Mortal Wkly Rep 64(53): 1-143. 25. Janda JM, Abbott SA (2014) Culture-independent diagnos- tic testing: have we opened Pandora’s box for good?. Di- agnostic Microbiology and Infectious Disease 80(3): 171- 176. 26. Fitzgerald C, Patrick M, Gonzalez A, Akin J, Polage CR, et al. (2016) Multicenter Evaluation of Clinical Diagnostic Meth- ods for Detection and Isolation of Campylobacter spp. from Stool. J Clin Microbiol 54(5): 1209-1215. 27. Martiny D, Dediste A, Debruyne L, Vlaes L, Haddou NB, et al. (2011) Accuracy of the API Campy system, the Vitek 2 Neisseria-Haemophilus card and matrix-assisted laser desorption ionization time-of-flight mass spectrometry for the identification of Campylobacter and related organ- isms. Clinical Microbiology and Infection 17(7): 1001-1006. 28. Zenebe T, Zegeye N, Eguale T (2020) Prevalence of Cam- pylobacter spe- cies in human, animal and food of animal origin and their antimicrobial susceptibility in Ethiopia: a systematic review and meta-analysis. Annals of Clinical Microbiology and Antimicrobials 19(1): 61. 29. McAdam AJ (2017) Unforeseen consequences: culture-in- dependent diagnostic tests and epidemiologic tracking of foodborne pathogens. Journal of clinical microbiology 55(7): 1978-1979. 30. Lee G, Pan W, Yori PP, Olortegui MP, Tilley D, et al. (2013) Symptomatic and asymptomatic Campylobacter infec - tions associated with reduced growth in Peruvian chil- dren. PLoS Negl Trop Dis 7(1): e2036. 31. Randremanana RV, Randrianirina F, Sabatier P, Rakoton- irina HC, Ran- driamanantena A, et al. (2014) Campylo- bacter infection in a cohort of rural children in Moraman- ga, Madagascar. BMC Infectious Diseases 14: 372. 32. Buss JE, Cresse M, Doyle S, Buchan BW, Craft DW, Young S (2019) Campylobacter culture fails to correctly detect Campylobacter in 30% of positive patient stool specimens compared to non-cultural methods. European Journal of Clinical Microbiology & Infectious Diseases 38(6): 1087- 1093. 33. Xu D, Wu X, Li B, Li P, Ming X, et al. (2013) Rapid detection of Cam- pylobacter jejuni using fluorescent microspheres as label for immuno- chromatographic strip test. Food sci- ence and biotechnology 22(2): 585- 591. 34. Havelaar AH, van Pelt W, Ang CW, Wagenaar JA, van Put- ten JPM, et al. (2009) Immunity to Campylobacter: its role in risk assessment and epidemiology. Critical reviews in microbiology 35(1): 1-22. 35. Tachikawa N, Yoshimura Y, Shimizu T, Tochitani K, Goto T, et al. (2017) [Evaluation of a Newly Developed Campy- lobacter Antigen Detection Kit for Patients with Enteritis]. Kansenshogaku Zasshi 91(2): 145-150. www.directivepublications.org Page - 6 Journal of Digestive and Liver Diseases

Research Article 36. Bessède E, Solecki O, Sifré E, Labadi L, Mégraud F (2011) Identification of Campylobacter species and related or- ganisms by matrix assisted laser desorption ionization– time of flight (MALDI-TOF) mass spectrometry. Clinical Microbiology and Infection 17(11): 1735-1739. 37. Gómez-Camarasa C, Gutiérrez-Fernández J, Rodrí - guez-Granger JM, Sampedro-Martínez A, Sorlózano-Puer- to A, et al. (2014) Evaluation of the rapid RIDAQUICK Cam- pylobacter® test in a general hospital. Diagn Microbiol Infect Dis 78(2): 101-104. 38. Ang CW, Krogfelt K, Herbrink P, Keijser J, van Pelt W, et al. (2007) Valid- ation of an ELISA for the diagnosis of re- cent Campylobacter infections in Guillain–Barré and reac- tive arthritis patients. Clinical Microbiology and Infection 13(9): 915-922. 39. Shams S, Bakhshi B, Tohidi Moghadam T, Behmanesh M (2019) A sensitive gold-nanorods-based nanobiosensor for specific detection of Campylobacter jejuni and Campy- lobacter coli. Journal of Nanobiotech- nology 17(1): 43. 40. Kuhn KG, Falkenhorst G, Ceper T, Dalby T, Ethelberg S, et al. (2012) De- tection of antibodies to Campylobacter in humans using enzyme-linked immunosorbent assays: a review of the literature. Diagnostic Microbiol- ogy and In- fectious Disease 74(2): 113-118. www.directivepublications.org Page - 7 Journal of Digestive and Liver Diseases

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