Available online on 15.03.2026 at ijmspr.com
International Journal of Medical Sciences and Pharma Research
Open Access to Medical Science and Pharma Research
Copyright © 2026 The Author(s): This is an open-access article distributed under the terms of the CC BY-NC 4.0 which permits unrestricted use, distribution, and reproduction in any medium for non-commercial use provided the original author and source are credited
| |
Detection and Quantification of Mycobacterium tuberculosis Complex Bacilli in Slaughtered Cattle, at Yola, Adamawa State, Nigeria
Doris Isioma Chukwu 1*, John Danjuma Mawak 2, Grace Mebi Ayanbimpe 3
1 Department of Medical Microbiology, Faculty of Basic Clinical Sciences, University of Jos, Nigeria.
2 Department of Microbiology, Faculty of Natural Sciences, University of Jos, Nigeria.
3 Department of Medical Microbiology, faculty of Basic Clinical sciences, University of Jos, Nigeria.
|
Article Info: ___________________________________________ Article History: Received 24 Dec 2025 Reviewed 28 Jan 2026 Accepted 21 Feb 2026 Published 15 March 2026 __________________________________________ Cite this article as: Chukwu DI, Mawak JD, Ayanbimpe GM, Detection and Quantification of Mycobacterium tuberculosis Complex Bacilli in Slaughtered Cattle, at Yola, Adamawa State, Nigeria, International Journal of Medical Sciences & Pharma Research, 2026; 12(1):20-26 DOI: http://dx.doi.org/10.22270/ijmspr.v12i1.178 ___________________________________________ *Address for Correspondence: Doris Isioma Chukwu, Department of Medical Microbiology, Faculty of Basic Clinical Sciences, University of Jos, Nigeria. |
Abstract _______________________________________________________________________________________________________________ Bovine tuberculosis (bTB) is a neglected zoonotic disease of major public health and economic importance in Nigeria. This study determined the prevalence of Mycobacterium tuberculosis complex (MTBC) among slaughtered cattle at Yola Modern Abattoir, Adamawa State, using liquid and solid culture methods. A cross-sectional abattoir-based study was conducted in which 190 bovine lung samples with lesions suggestive of tuberculosis were collected. Samples were processed using Petroff’s decontamination method and cultured in the Mycobacteria Growth Indicator Tube (MGIT 960 BACTEC system) and on Lowenstein–Jensen (LJ) media supplemented with glycerol and pyruvate. MTBC-positive cultures were confirmed using the SD Bioline™ TB Ag MPT64 assay. Out of 190 samples examined, 85(44.7%), were posistive for MTBC by TB-MBLA, 73 (38.4%) were positive for MTBC by liquid culture, while 45 (23.7%) were positive by solid culture. TB-MBLA, showed the highest detection rate followed by Liquid culture and the least being solidculture method (χ² = 19.34; p = 0.000). Based on TB-MBLA results, the apparent prevalence of bovine tuberculosis was 44.7%. The high prevalence observed confirms the endemicity of bovine tuberculosis among cattle slaughtered in Yola and indicates a substantial increase compared with earlier reports from the area. The practice of selling carcasses after removal of affected organs poses a significant zoonotic risk to abattoir workers and consumers. Strengthening meat inspection, implementing active surveillance, and adopting effective national bTB control strategies are urgently needed to reduce transmission and protect public health. Keywords: Mycobacterium tuberculosis complex, bovine tuberculosis, Mycobacterium growth indication tube, BACTEC 960, Lowenstein-Jensen medium, TB-MBLA. |
INTRODUCTION
Bovine tuberculosis is a chronic contagious bacterial disease of livestock, and occasionally other species of mammals, resulting from infection with Mycobacterium tuberculosis complex species. The bacteria associated with the disease may lie dormant in an infected animals for years without causing clinical signs or progressive disease symptoms. It can reactivate during periods of stress or in older animals. When disease becomes progressive, it generally results in enlarged lesions which may be found in a variety of tissues including lymph nodes of the head and thorax, lung, spleen, and liver 1.
Bovine tuberculosis (BTB) is a serious public health and neglected zoonotic disease responsible for 147,000 human cases and 12,500 deaths annually 2 and the aetiologic agents of tuberculosis in mammals are members of the Mycobacterium tuberculosis complex. They consist of the closely related species M. tuberculosis, M. bovis, M. caprae M. africanum, M. microti, “M. canetti,” and M. Pinnipedii, M. mungi, M. orygis and M. suricattae 3. M. bovis is the most common species reported to cause bovine TB in cattle and buffalo. In addition to M. bovis, other members of MTBC such as M. tuberculosis M. caprae, M. orygis, M. pinnipedii and M. microti, have also been reported to cause TB in cattle 4.
Cattle and buffaloes are susceptible to M. bovis 5 The disease can be spread to humans primarily by ingestion of viable bacilli of the bacteria in raw milk, improperly cooked meat and meat products of infected animals and poor handling of contaminated meat/ visceral of slaughtered infected animals. Animals get infected by inhalation of respiratory droplets from infected animals when they cough due to close proximity, ingestion of viable MTBC bacilli in contaminated soil during grazing and from contaminated water, milk and feed 6. The disease is a critical public health burden and causes severe economic losses due to impairment of animal health, production losses, costs of eradication programs, and trade restrictions 4. Annual agricultural losses due to bovine TB have been estimated to be approximately 3 billion United States Dollars worldwide 7.
The global pooled prevalence of BTB in cattle was estimated at 13.12%; Africa had 10.3%, Asia at 13.8%, Europe had 17.8%, North America 33.6%, and South America at 20.5% (In 2018, the WHO reported a global estimate of human cases at 143,000 and 12,300 deaths due to zoonotic tuberculosis (zTB) caused by M. bovis 7..
M. bovis is the leading cause of TB in cattle, Buffalo and other mammals. M. bovis comprises M. bovis subsp. bovis, M. bovis subsp. caprae, and the M. bovis-derived BCG vaccine strain 8. Both subspecies of M. bovis are reported to infect humans, wildlife (deer, wild boars, antelopes and buffalo), domestic animals (pigs, cats and dogs) and livestock cattle, sheep and goats) 9 .
Nigeria is the most populated country in Africa with a projected population of 216,783,381 people in 2022,9 and has about 19.5 million cattle and an unknown population of wildlife ruminants 10. These factors demonstrate opportunities for easy transmission and spread of BTB, evidenced by the country ranking fourth with tuberculosis in the world and first in Africa 1,11 .The constant uncontrolled transborder influx of herders and cattle from neighboring States and countries without adequate and complete inspection, limited access to veterinary services, poor diagnostic facilities, and inadequately trained manpower have immensely contributed to the endemicity of the disease in Nigeria 12.
In Nigeria, overall pooled BTB prevalence in animals is 7.0%; cattle (8.0%), goats (0.47%), sheep (0.27%), camels (13.0%), and wildlife (13.0%) 13 . Over 2 million US Dollars have been lost as a result of the effect of bovine Tb in Nigeria. This is a threat to the animal industry which generates about 94% of animal protein and contributes about 21% of National Gross Domestic Product (GDP) 14.
Bovine tuberculosis (BTB) is a neglected zoonotic disease of public health importance and responsible for high morbidity and mortality among humans in Africa.
The infection of cattle in developed countries has been controlled, using the ‘Test and slaughter’ policy and vaccination but complete elimination of the disease is complicated by persistent infection in reservoir wild animals such as European badgers in United Kingdom, white-tailed deer in America and Possums in New Zealand 15. But in Africa especially Nigeria, the ‘test and slaughter’ policy has not been implemented. Bovine tuberculosis (bTB) in Nigeria is currently controlled through abattoir monitoring. However, Nigeria lacks a national control strategy and active surveillance programs 1.
MATERIALS AND METHODS
Study Area
The study area for this research was the Yola modern abattoir in Yola, Adamawa State, Nigeria. The Yola modern abattoir, is situated between Jimeta and Yola town of Adamawa State (North Eastern Nigeria). The abattoir is owned by the Adamawa state Government, and managed by the Ministry of Livestock and Nomadic Resettlement. The abattoir is the major source of meat for the people of Yola and its environs. It lies between latitude 9o 14 N of the equator and longitude 12o 14 E of the Greenwich-meridian 16.
Sample size
The sample size was determined using the formula proposed by (Araoye, 2003) using the 9.8% prevalence rate reported by Ibrahim et al. (17) in Yola, Adamawa State
Where: = Minimum sample size
= Standard error at 95% confidence interval= 1.96
=Local Prevalence (9.8%) = 0.098
=
=degree of accuracy (5%) = 0.05
N = [(1.96)2 x 0.098 x 0.902]/0.0025
N = 136
The minimum sample size for this study was 136 bovine lung samples from slaughtered cattle. But 190 bovine lung samples with suggestive Tb lesions were collected in Yola modern abattoir, Yola, Adamawa State.
Research Design
A cross -sectional design was carried out to determine the present prevalence of bovine Tb in the study area, by collecting lung samples with suggestive Tb lesions from slaughtered cattle
Sample Collection
Specimens of lungs, with suspected Tb lesions, were collected into sterile plastic containers from slaughtered cattle at the Yola modern abattoir. The specimens were transported in ice box to the National Veterinary Research Institute, Vom and stored at -800C until ready for use.
Sample Preparation for culture
Approximately 5g each of lung sample was cut using a clean, pair of forceps and scissors and transferred into Falcon tubes containing 5ml of sterile phosphate buffer saline (PBS) and homogenized in a biosafety cabinet. Using Petroff’s standard method, equal volumes of 4% sodium hydroxide and tissue homogenates were mixed vigorously to decontaminate.The suspensions were centrifuged at 3000g for 15 minutes, the supernatant was discarded and the sediment was re-suspended in 5ml of sterile phosphate buffered saline. Suspension was centrifuged at 3000g for 10 minutes, supernatant was discarded and sediment was used for liquid and solid cultures.
Liquid culture in MGIT 960 Bactec system (MGIT)
MGIT tubes were inoculated with 0.5 ml of the processed specimen and slotted into the MGIT 960 instrument. The tubes were incubated at 37°C and were monitored automatically every 60 minutes for increase in fluorescence for 8 weeks.
Any sample, which was identified as positive, was removed from the instrument.
Furthermore, a brain heart infusion agar plate was inoculated to determine non-Mycobacterium isolates which grew after 24-48 hours incubation at 370C.
Solid culture on Lowenstein-Jensen (LJ) medium
LJ medium was prepared in duplicates (one with glycerol and the other with pyruvate). Each decontaminated sample was inoculated into LJ medium with glycerol and another with pyruvate (Glycerol supports the growth of some MTBC such as M. tuberculosis, while pyruvate supports the growth of M. bovis.
Confirmation test for MTBC Positive Cultures
The SD Bioline™ TB Ag MPT64 kit was used to confirm the growth of MTBC in both liquid and solid media. The Bioline TB MPT 64 assay, is an immune-photocromatographic identification test for the presence of MTBC in culture fluids. It was used to confirm presence of MTBC based on the manufacturer’s instructions.
The SD bioline TB AgMTP64 kit has been successfully used to differentiate MTBC from non-MT C species 18.
A drop of the specimen was placed on the specimen placing area on the test plate.
The colloidal gold-labelled MPT64 antibody ‘A’ dissolves and forms an immune complex with the MPT 64 antigens in the specimen. The immune complex migrates through the developing area by capillary action and it is captured by the anti-MPT64 antibody ‘B’, fixed in the reading area 'T’ test. The resultant complex forms a purple-red line of colloidal gold in the reading area ‘T’. This visually indicates the presence of MPT 64 antigen in the specimen.
Sample preparation for MTBC Bacilli Detection and Quantification
The Tuberculosis Molecular Bacterial Load Assay (TB-MBLA), which is a real time PCR, was used to detect Mycobacterium tuberculosis complex and to quantify the bacilli load in each sample. Approximately 5g of bovine lung samples with TB lesions, were cut out from the lung of each slaughtered animal into sterile universal bottles. These were first homogenized in falcon tubes containing 4ml of guanidine thiocyanate (GTC) to deactivate the organisms and expose the tubercle bacilli, in a biosafety cabinet within the biosafety laboratory class 3 facility at the National Veterinary Research Institute Vom, and stored in 15ml falcon tubes at -80°C ultra- low freezer until ready for analysis.
RNA Extraction and DNA removal from Tissues
RNA was extracted and DNA removed from all the bovine lung samples using the protocol provided in the MP Biomedicals RNApro blue RNA extraction kit. This was done in a class II biosafety cabinet to avoid the inhalation of 2-mecapto-ethanol, during the early stages of RNA extraction. DNA was removed from all the samples by DNase treatment with the Invitrogen Turbo DNA-free kit, Ambion AM1907, as described by the protocol provided in the kit.
In order to obtain DNA- free RNA from the bovine lung samples, they were treated with a master mix of 10 µl DNA buffer and 2 µl of DNase enzyme. The master mix for DNA removal, contained 10µl of DNA buffer multiplied by the number of samples, plus 2µl of DNase enzyme, multiplied by the number of samples plus 2 µl extra of both DNA buffer and DNase enzyme to make up for volume loss during pipetting/ pipetting errors. Each sample, was expected to have 11 µl volume of the DNA buffer (10 µl) and (1 µl) DNase enzyme mixture. (DNA-free RNA, was obtained from each sample, by following the protocol provided in the Invitrogen Turbo DNA kit).
Primers and TaqMan Probes 5’ – 3’ Sequences
Primer and probes (Table 1) were supplied by VITAL BACTERIA Ltd University of St. Andrews, Scotland UK. The kit consists of the information which were followed for dissolving the primer and probes to obtain stock solutions.
Before the RT-qPCR, the master mix for the number of intended reactions, were prepared. This is a solution of PCR reagents sufficient for all samples and standards to be amplified in a run. Each RNA sample and standard were amplified in duplicates.
Table 1: Primers and Probe sequences for TB-MBLA Assay
|
Name |
Sequence Reference |
|
MTB 16s forward |
GTGATCTGCCCTGCACTTC (Zainabadi et al., 2022) |
|
MTB 16s reverse |
ATCCCACACCGCTAAAGCG |
|
IC MMtmRNA F |
CGTCATCCTGGCTAGTTC |
|
IC MMtmRNA R |
CTACGGCATTCCCTCAAG |
|
Mtb 16s probe |
FAM-AGGACCACGGGATGCATGTCTTGT-BHQ1 |
|
IC MMtmRNA probe |
HEX-AGT CCG CTA TGT CTC TGC TCG-BHQ1 |
Preparation of standard samples for standard curve
The standard curve was imported into the amplification curves, generated from the thermocycler by TB-MBLA- RT-qPCR, using Rotor Gene Q, to translate quantification cycles into estimated colony forming unit per gram or per millilitres of the samples which helps to capture the cycle threshold values (CT values) as described by Sabiiti and colleagues 19.
To prepare the standard samples, the Vital bacteria MTB standard and external control (EC) RNA standards, were thawed on ice, then seven (7) RNase- free- tubes were labelled with appropriate 10fold dilution from tube 1-7 which is (10-1, 10-2, 10-3, 10-4, 10-5, 10-6, 10-7). That is, 7 tubes for MTB standard and 7 tubes for external control RNA extracts control standards (Both were supplied in the Vital bacterial kits). Ten microlitres(10µl) was added to the first tube and mixed by vortex. A one in ten dilution was carried out from tube 1 to tube 7, changing pipette tips between tubes. This dilution was done for external control (EC) RNA standard.
To construct the standard curve for MBLA, the MTBC standard and external control standards were mixed to be at concentrations of 108 -107 CFU/ml. To achieve these dilutions, two sets of seven 1.5ml RNase- free tubes, were labelled with appropriate names and dilution numbers (1-7). One set of dilutions was prepared for MTB standard and the second set for external control standard. These standards were provided in the Vitabacteria MTB kit, which contains the MTB and EC standards, the Primers and probes for the yellow and green channels. The kit was prepared by the University of Saint Andrews, Scotland UK. These standards, were diluted decimally (1:10) to create a series of standard dilutions.
Two sets of seven (7) tubes were arranged based on the dilution factor, 90µl of RNase-free water was added to each tube.10µl of the external control standard was added to 90µl of RNase-free water in the first tube and a 1:10 dilution was done for the seven tubes. This was also repeated for the MTB standards, by adding 10µl of the MTB standard to 90µl of the RNase-free water in the first tube followed by a 1:10 dilution to the 7th tube. All the tubes were mixed by vortex for 5 seconds, changing pipette tips in between each dilution. The dilutions of the EC and MTB standards were run with the Rotor Gene Q machine, to determine the standard curve for the samples to be ran in this study. The standard curve, was imported into the Cycle Threshold values (CT) of each sample to standardize the Tb-MBLA-RT-qRNA assay. The CT value, is inversely proportional to the Mycobacterial load in the samples. The higher the bacterial load, the smaller the CT value. For the TB-MBLA assay, a sample with a CT value of less than 30, is considered positive for MTBC, while a sample of CT value of 30 and above are negative for MTBC. The standard curve, once prepared for a TB-MBLA assay, can be used to determine the Cycle values and the quantity of MTBC viable cells that is, Colony forming unit/millilitres (CFU/ml) for 3-4 months 19.
Master- Mix for Thermocycler Set Up
The ready to go master mix is a solution of PCR reagents sufficient for all samples and standards to be amplified. Each RNA extract from each sample, and its decimal dilution and standards were amplified in duplicates. Into each PCR tubes, 4µl of sample RNA extract was added to 16µl of RT+ master mix solution (containing Reverse transcriptase enzyme) to sum up to 20µl reaction volume. Each sample and the controls, were ran in duplicates in the RT positive wells (RT+ containing the reverse transcriptase enzyme) while the RT negative (RT-) wells, containing 16µl of the RT negative (RT-) master mix and 4µl of the RNA extract neat samples and their control (RNase-free water), were ran in a single reaction and the concentration of MTBC cells is calculated from 16SrRNA present in the sample.
Thermocycler Set Up for Rotor Gene Q
For every run, the reaction tubes were arranged in appropriate rotor and locked with the locking ring to prevent spillage. The rotor was placed inside the Rotor Gene Q instrument, clicked into position and the lid was closed. The machine was switched on and appropriate information of the samples were filled into the Rotor gene Q software, by the operator. The Rotor Gene Q machine, runs for two (2) hours and thirty (30) minutes before a run is completed.
The reaction volume for every run on the Rotor Gene Q, was 20µl and the reaction condition for TB-MBLA requires a hold at 500C, for 30 minutes (this is the reverse transcription),950C, for 15 minutes (To activate the Taq DNA polymerase) and cycling, at 40 cycles at 940C for 45 seconds not acquiring, 600C, for 60 seconds, acquiring at green and yellow channels. All parameters were observed according to the description on the manual in the master-mix kit.
Result Interpretation and Quantitative PCR Output Data Analysis
Amplification data for TB-MBLA samples, positive results and internal controls were evaluated at all times. Table 2, illustrates how TB-MBLA results were interpreted relative to the internal control (IC). Results data were generated automatically, after constructing the standard curve and importing it into the amplification curve of the RT-PCR run of the samples, by the Qiagen Rotor Gene Q software.
Table 2: Interpretation of RT-qPCR Results for TB-MBLA
|
Type |
MTB channel |
EC channel |
Interpretation |
|
Sample |
Positive |
Positive |
Valid |
|
Sample |
Positive |
Negative |
Indeterminate |
|
Sample |
Negative |
Positive |
Valid |
|
Sample |
Negative |
Negative |
Invalid |
|
MTB positive Control |
Positive |
Negative |
Valid |
|
Extraction Control (EC) |
Negative |
Positive |
Valid |
|
DNA control |
Negative |
Negative |
Valid |
|
Negative Control (NTC) |
Negative |
Negative |
Valid |
RESULTS
Recovery of MTBC from slaughtered cattle in Yola, Adamawa State using liquid and solid cultures
Out of 190 lung samples collected from Yola modern abattoir, 73 (33.8%) were positive for MTBC by liquid culture (MGIT 960 Bactec system) while 45(23.7%) were positive by solid culture (Lowentein-Jensen medium) (Table 3).
Table 3: Detection of MTBC in bovine lung samples by liquid and solid cultures
With a P-value of less than 0.05, there is a statistical sinificance between MTBC positives in the two media
MTBC Bacilli concentration from16SrRNA in bovine lung samples
Figure 1, shows the grouped concentration of MTBC bacilli from 16S rRNA in each positive bovine lung sample, calculated automatically by the Qiagen rotor gene software in (CFU/g). The concentration of MTBC cells calculated by the Qiagen rotor gene software from 16S rRNA in each positive sample, in (CFU/g) were grouped as follows and represented on a bar chart (Fig.1) 9.4% of the samples yielded ≤1000 cfu/g, 34.1% yielded 1,001-10,000cfu/g, 23.5% of samples yielded 10,001-100,000cfu/g, 14.1% yielded 100,001-1,000,000cfu/g, 10.6% yielded 1,000,001-10,000,000cfu/g and 8.3% yielded ≥10,000,0001cfu/g (Fig.1).
Figure 1: MTBC Bacilli concentration from16SrRNA in bovine lung samples
Detection of Mycobacterium tuberculosis complex Using Three Different Methods
Table 4, shows the comparison of detection rates of MTBC bacilli using liquid culture (MGIT), solid culture (Lowenstein-Jensen) and TB-MBLA. Out of 190 bovine lung samples analyzed in this study, the detection rate of MTBC by liquid medium, was 38%, solid medium was 23.7% and TB-MBLA yielded 44.7%.
Table 4: Comparison of Detection Rates of Mycobacterium tuberculosis complex bacilli Using Three Different Methods
|
Liquid culture 73(38.4) 19.34 0.000 Solid culture 45(23.7) TB-MBLA 85(44.7) |
With p-value < 0.05, there is a statistical significance in detection of MTBC by liquid culture, solid culture and TB-MBLA.
DISCUSSION
All the 190 bovine lung samples collected in this study, had lesions suggestive of bovine Tb by physical examination.
Out of the 190 samples inoculated into Mycobacterium growth indication tube (MGIT 960 BACTEC system), 73(38.4%) were positive for Mycobacterium tuberculosis complex while solid culture Lowenstein-Jensen medium yielded 45(23.65%) and TB-MBLA detected 85(44.7%).
The detection rates of MTBC, was highest by TB-MBLA, which is a quantitative PCR assay, followed by liquid culture and solid culture methods. This corroborates with previous studies, which have reported highest detection rates by molecular methods followed by liquid culture methods before solid methods 20,21,22.
Using the Chi square statistical method, the results from the three methods used to detect the presence of MTBC species, shows that, with X2 value of 19.34 and a P-value of 0.000, which is less than 0.05, there was a statistical significance in MTBC detection rates by liquid culture, solid culture and TB-MBLA.
The quantity of Mycobacterium tuberculosis complex bacilli load in infected bovine lung samples, was automatically estimated with the Rotor Gene Q software to be between 1,000 and ≥10,000,000 cfu/g. The estimates of bacilli cfu/g of the positive samples, were very high, compared to a study, which reported the generation of bovine tuberculosis pathology in cattle, divided into four groups of twenty (20) animals infected by the intratracheal route with 1,000, 100, 10, or 1 CFU of M. bovis, showed that one-half of the animals infected with 1 CFU of M. bovis, developed pulmonary pathology typical of bovine tuberculosis and no differences in the severity of pathology were observed for the different M. bovis doses 23.
CONCLUSION
From this study the prevalence of bovine tuberculosis in Yola, Adamawa State by liquid media, solid media and TB-MBLA, were 38.4%, 23.8% and 85(44.7%) respectively. This study shows a huge increase in prevalence of bovine TB in Yola modern abattoir, compared to a prevalence rate of 2.36% reported in 2017 by a study conducted using only Ziehl-Neelsen stain as the diagnostic tool 24,1, who reported 6.12% prevalence.
During the course of this study, it was observed that, once affected organs with bovine TB lesion are removed, the rest of the beef is sold to the public which agrees with a report in 2023 25 This could be a source of transmission to humans especially butchers at the abattoir, who had no protective gloves on, when handling meat.
Having MTBC detection rates of 23.8%, 38.4% and 44.7% by solid (LJ medium), liquid (MGIT 960 BACTEC system) cultures and TB-MBLA methods respectively, a prevalence rate of 44.7% was estimated by using the detection rate value of TB-MBLA method which is a molecular method and the preferred method for TB diagnosis by employing the Rogan& Gladen formular 26. An estimated bovine TB prevalence of 44.7% shows that, bovine tuberculosis is present in cattle slaughtered at the Yola modern abattoir, Yola, Adamawa state. This study validates the endemicity of bovine tuberculosis in Yola, Adamawa State and calls for the adoption of stricter measures for animal examination before slaughter, to minimize the spread of bovine TB in Yola, Adamawa State.
In this study, the 8.3% of the bovine lung samples, from slaughtered cattle, yielded up to ≥ 10,000,000 cfu/g of MTBC bacilli by the molecular bacterial load assay. This is a strong indication that, that infection will occur in animals or humans, if ingested in raw or poorly cooked meat and/meat products.
Conflict of Interests: There was no conflict of interests.
Acknowledgement: I wish to acknowledge the TB team at the University of Saint Andrews, Scotland, United Kingdom, the North Central TB reference laboratory, Plateau State, Nigeria and the National veterinary research Institute, Vom, Nigeria.
Author Contributions: All authors have equal contributions in the preparation of the manuscript and compilation.
Source of Support: Nil
Funding: Most of this research was funded by the TB team of the University of saint Andrews, Scotland.
Informed Consent Statement: Not applicable.
Data Availability Statement: The data presented in this study are available on request from the corresponding author.
REFERENCES
1. Danladi J, Kwaghe AV, Olasoju T, Ibrahim HI, Buba MI, Dakogi AY, Vakuru CT. Prevalence, trends and magnitude of bovine tuberculosis in slaughtered cattle across states in Nigeria, 2012-2022: a retrospective study. Pan Afr Med J One Health. 2024;15:20. https://doi.org/10.11604/pamj-oh.2024.15.20.45323
2. Odetokun IA, Alhaji NB, Aminu J, Lawan MK, Abdulkareem MA, Ghali-Mohammed I. One Health risk challenges and preparedness regarding bovine tuberculosis at abattoirs in North-central Nigeria: associated drivers and health belief. PLoS Negl Trop Dis. 2022;16(9):e0010729. https://doi.org/10.1371/journal.pntd.0010729 PMid:36067228 PMCid:PMC9481158
3. Filia G, Leishangthem GD, Mahajan V, Singh A. Detection of Mycobacterium tuberculosis and Mycobacterium bovis in Sahiwal cattle from an organized farm using ante-mortem techniques. Vet World. 2016;9(4):383-387. https://doi.org/10.14202/vetworld.2016.383-387 PMid:27182134 PMCid:PMC4864480
4. Hlokwe TM, Said H, Gcebe N. Mycobacterium tuberculosis complex in animals and humans. Onderstepoort J Vet Res. 2017;84(1):a299.
5. Carneiro PAM, Takatani H, Pasquatti TN, et al. Epidemiological study of Mycobacterium bovis infection in buffalo and cattle in Amazonas, Brazil. Front Vet Sci. 2019;6:434. https://doi.org/10.3389/fvets.2019.00434 PMid:31921899 PMCid:PMC6914675
6. Sichewo PR, Vander Kelen C, Thys S, Michel AL. Risk practices for bovine tuberculosis transmission at the wildlife-livestock-human interface in northern KwaZulu-Natal, South Africa. PLoS Negl Trop Dis. 2020;14(3):e0007618. https://doi.org/10.1371/journal.pntd.0007618 PMid:32226029 PMCid:PMC7145264
7. World Health Organization, World Organisation for Animal Health, Food and Agriculture Organization of the United Nations. Roadmap for zoonotic tuberculosis. 2017.
8. Saidu AS, Okolocha EC, Gamawa AA, Babashani M, Bakari NA. Occurrence and distribution of bovine tuberculosis (Mycobacterium bovis) in slaughtered cattle in the abattoirs of Bauchi State, Nigeria. Vet World. 2015;8(3):432-437. https://doi.org/10.14202/vetworld.2015.432-437 PMid:27047110 PMCid:PMC4774856
9. Kietaibl S, Ferrandis R, Godier A, et al. Regional anaesthesia in patients on anti-thrombotic drugs: Joint ESAIC/ESRA guidelines. Eur J Anaesthesiol. 2022;39(2):100-132. https://doi.org/10.1097/EJA.0000000000001600 PMid:34980845
10. Wagner J, Lock JF, Kastner C, Klein I, Krajinovic K, Löb S. Perioperative management of anticoagulant therapy. Innov Surg Sci. 2019;4(4):144-151. https://doi.org/10.1515/iss-2019-0004 PMid:33977124 PMCid:PMC8059348
11. World Health Organization, Food and Agriculture Organization of the United Nations, World Organisation for Animal Health. Roadmap for zoonotic tuberculosis. Geneva, Switzerland: World Health Organization; 2017.
12. Bikom EM, Motta P, Kelly RF. Bovine tuberculosis surveillance in Cameroon. Transbound Emerg Dis. 2021;68(5):2678-2688.
13. Ahmad I, Cadmus SIB, Kudi AC, Okeke LA. Pooled prevalence of bovine tuberculosis in animals in Nigeria: a systematic review and meta-analysis. Trop Anim Health Prod. 2023;55(2):112-124.
14. Bonnet M, Pardini M, Meacci F, et al. Treatment of tuberculosis in a region with high drug resistance: outcomes, drug resistance amplification and re-infection. PLoS One. 2011;6(8):e23081. https://doi.org/10.1371/journal.pone.0023081 PMid:21886778 PMCid:PMC3160294
15. Davey S. Challenges to the control of Mycobacterium bovis in livestock and wildlife populations in the South African context. Ir Vet J. 2023;76(Suppl 1):14. https://doi.org/10.1186/s13620-023-00246-9 PMid:37491403 PMCid:PMC10369683
16. Bakari N, Umoh J, Kabir J, et al. A case study of Yola Modern Abattoir, Adamawa State, Nigeria. J Vet Adv. 2015;5:01025849. https://doi.org/10.5455/jva.20150401025849
17. Ibrahim S, Kaltungo BY, Buhari HU, et al. An overview of tuberculosis in animals in Nigeria. J Appl Vet Sci. 2021;6(3):7-19. https://doi.org/10.21608/javs.2021.74906.1078
18. Armstrong DT, Pretty L, D'Agostino K, Redhead-Harper R, Parrish N. Diagnostic accuracy of the Abbott SD Bioline MPT64 antigen test for identification of MTB Complex in a U.S. clinical mycobacteriology laboratory. Heliyon. 2024;10(9):e30501. https://doi.org/10.1016/j.heliyon.2024.e30501 PMid:38737266 PMCid:PMC11088315
19. Sabiiti, W., Mtafya, B., De Lima, D.A., Dombay, E., Baron, V.O., Azam, K., Oravcova, K., Sloan, D.J., Gillespie, S.H. A Tuberculosis Molecular Bacterial Load Assay (TB-MBLA). J. Vis. Exp. (158), e60460, doi:10.3791/60460 (2020). https://doi.org/10.3791/60460 PMid:32420999
20. Dean GS, Rhodes SG, Coad M, Whelan AO, Cockle PJ, Clifford DJ, Hewinson RG, Vordermeier HM. Minimum infective dose of Mycobacterium bovis in cattle. Infect Immun. 2005;73(10):6467-6471. https://doi.org/10.1128/IAI.73.10.6467-6471.2005 PMid:16177318 PMCid:PMC1230957
21. Wang Y, Zhou X, Lin J, et al. Effects of Mycobacterium bovis on monocyte-derived macrophages from bovine tuberculosis infection and healthy cattle. FEMS Microbiol Lett. 2011;321(1):30-36. https://doi.org/10.1111/j.1574-6968.2011.02304.x PMid:21569079
22. Ma Y, Fan J, Li S, Dong L, Li Y, Wang F, Qin S. Comparison of Lowenstein-Jensen medium and MGIT culture system for recovery of Mycobacterium tuberculosis from abscess samples. Diagn Microbiol Infect Dis. 2020;96(4):114969. https://doi.org/10.1016/j.diagmicrobio.2019.114969 PMid:31973887
23. Kumar S, Kumar S, Singh RV, Chauhan A, Kumar A, Bharati J, Singh SV. Association of genetic variability in CD209 gene with bovine paratuberculosis disease: a case-control study in the Indian cattle population. Anim Biotechnol. 2022;33(4):664-671. https://doi.org/10.1080/10495398.2020.1823400 PMid:32985930
24. Tillo IM, Francis MI, Liba JW, Atsanda NN. Prevalence of bovine tuberculosis in slaughtered cattle at Yola modern abattoir, Adamawa State, Nigeria. Vom J Vet Sci. 2017;12:80-86.
25. Rogan WJ, Gladen B. Estimating prevalence from the results of a screening test. Am J Epidemiol. 1978;107(1):71-76. https://doi.org/10.1093/oxfordjournals.aje.a112510 PMid:623091
26. Damina SM, Barnes DA, Inuwa B, Ularamu GH, Bello M, Okaiyeto OS, et al. Molecular characterisation of Mycobacterium bovis isolates from cattle slaughtered in Adamawa and Gombe States, North-Eastern Nigeria. Curr Issues Mol Biol. 2023;45(7):6055-6066. https://doi.org/10.3390/cimb45070382 PMid:37504298 PMCid:PMC10377879