Abstract
The bovine leukemia virus (BLV) is an important infectious agent transmitted from cattle to humans. It is considered one of the oncogenic viruses in breast cancer, so an accurate detection of this virus is important. The study aimed to design a specific and sensitive method based on TaqMan® real-time polymerase chain reaction (RT-PCR) for BLV detection. Probes and primers were designed using bioinformatics software for a 108 pairs region of the BLV tax gene. Criteria employed for determining analytical sensitivity were prepared using in-vitro RNA transcriptions. The National Center for Biotechnology Information (NCBI), basic local alignment search tool (BLAST) databases various viral panels and genomic samples from healthy individuals (Qom Province, Iran in 2023) were used to verify analytical specificity and clinical specificity, respectively. This method can measure a minimum of 10 copies of DNA and RNA mL-1. Moreover, the assay is linear in the range of 100 - 109 copies mL-1. By testing negative specimens, the method specificity was 100%. The reproducibility results of the reaction were examined at the intra- and inter-assay comparison. In fact, 10 technical replicates of each concentration of the control sample were analyzed in each working reaction. Due to the locally made kit, exact sensitivity and specificity, rapid analysis, and relatively low cost, as compared to commercial kits of other countries, the method introduced in the present study could be suitable for accurate detection of the BLV. Also, the TaqMan® real-time PCR method could be detected in cattle and human and before malignant changes of breast cancer which could reduce infection and breast cancer.
Key Words: Bovine leukemia virus, Breast cancer, Cattle, Real-time PCR
Introduction
Bovine leukemia (B-cell leukemia/lymphoma), first reported in Lithuania in 1871, is an infectious disease that can spread through cattle herds. The cause of bovine leukosis was a virus isolated from cattle in an affected herd of cultured lymphocytes in 1969. Bovine leukemia virus (BLV) is an RNA virus belonging to the subfamily ortho-retrovirinae, family retroviridae and order ortervirales. There are several studies on BLV as a genus delta retrovirus associated with human T-cell leukemia virus type 1, 2 (HTLV-1, 2) and with typical retroviral genomic areas: Group-specific antigen, capsid region (gag), long terminal repeat, promoter region (LTR), envelope (env) and polymerase (pol). Nonetheless, in contrast to other oncogenic retroviruses, deltaretroviruses possess an additional area, tax (trans-activating region of the X gene) that is oncogenic to host cells with regulatory functions.1,2
The cattle are the main host of BLV, however, BLV infects other animals such as sheep, water buffalo, alpacas, rabbits, mice, goats, and pigs.3 The BLV infection prevalence is high in dairy herds (39.00 to 100%) in milk as well as in beef herds. The BLV is easily transmitted through contaminated blood and milk, but it can cause the disease in < 5.00% of infected cattles. It is linked to chronic lymphocytic leukemia and mammary cell infection can lead to mammary tumors in the host.4
The mechanism by which BLV is transmitted to humans is unknown, however, BLV is transmittable to humans by consumption of unpasteurized raw milk, milk-products and meat from infected cattle. The tax protein of the BLV virus has many regulatory functions (trans-criptional activation) and may be linked to transformation by disrupting tumor suppressor genes and inhibiting the DNA repair system.2,5 Clinical leukemia occurs in < 5.00% of affected cattle. Nonetheless, lymphocytes with BLV are observed in the milk and blood of sub clinically infected cows. Cattle herds with BLV are found worldwide. In Iran, a large proportion of herds are infected with BLV. The herd prevalence of enzootic bovine leucosis based on serological diagnosis in dairy cattle has been reported to be 41.30% and its prevalence is reported 32.80% among animals and 80.00% among different provinces based on molecular detection.6,7 The BLV genome and antibodies to the capsid protein (P24) are detected in blood specimens from females. It may take several decades for the oncogenic effect of BLV to translate into breast cancer, therefore, a virus detection kit with high sensitivity and specificity is essential.2 Oncogenic viruses such as hepatitis C and B viruses, human leukemia virus types 1 and 2, Epstein-Barr virus, human herpesvirus 8 and papillo-mavirus are involved in all types of cancers.8 The BLV causes breast cancer in humans.9
For many years, serologic methods have been used primarily in the diagnosis of viral infections, and although direct and rapid culture and search methods have been emphasized in such infections, serologic methods can still aid in the diagnosis of infections. Serological BLV diagnostic techniques such as antibody-oriented tests, target antibodies that recognize the extracellular gp51 protein encoded by env-gp51 and the p24 capsid protein encoded by the gag gene.10 Limitations of serologic testing include antigenic changes, viral infections with different viral serotypes, immunologically silent carriers or hidden carriers,or the absence of antibodies in the early stages of the disease. According to the new guidelines, determining the number of RNA copies of this virus is of great importance as an indicator for diagnosing acute infection, predicting the likelihood of transmission of the virus, predicting the disease progression rate in chronically infected cases and evaluating the effect of treatment in persons treated with antiretroviral drugs.11 One of the newest quantitative measurement methods currently receiving attention is Real-time detection systems or Real-time polymerase chain reaction (PCR) method. This research was conducted to develop the TaqMan® real-time PCR method with specific primers and probes for a region of the BLV tax gene which is one of the conserved regions of the viral genome.12
Antibodies to these proteins are formed soon following BLV infection, so developing a method based on molecular detection such as real-time PCR can be very efficient. Thus, cattle that have high proviral load (PVL) are the major source of risk for the virus spread and the development of enzootic bovine leucosis. However, cattle that have low PVL are not highly prone to transmit BLV to others. Reportedly, BLV provirus is found in the nasal mucosa, milk and saliva of dairy cattle with PVLs > 10,000, 14,000, and 18,000 copies per 105 cells in blood specimens, suggesting a PVL of approximately 10,000 copies per 105 cells. It is considered an index of the efficient spread of BLV in the body confirmed by quantitative polymerase chain reaction (qPCR) of BLV-tax.13-15
As the genome sequence of microorganisms increasingly changes, pathogens like viruses can gradually escape available detection methods targeting their genes.16 Therefore, improving detection techniques for mutants is different from time to time. Yang et al., reported many novel mutations in the probe and primer areas of Real-time PCR assays applied for human influenza A viruses and subsequently developed a real-time PCR method that uses degenerate nucleotide bases in these areas and increases vulnerability to the point that new types of human influenza A viruses can be detected.17
The study aimed to design a specific and sensitive method based on TaqMan® real-time PCR for BLV detection. The time as well as geographical district of the study was Qom Province, Iran in 2023.
Materials and Methods
Designated primers and probes. To design the primers and probes, the sequence of the conserved tax gene in different sequences was obtained from a reliable database such as National Center for Biotechnology Information (NCBI) nucleotide and a database for the tax gene (108 bp) by accession number LC728442.1. Then, alignment analysis using bioinformatics software such as MEGA Software (version 10.0; Biodesign Institute, Tempe, USA)18, and ClaustalW multiple sequence alignment program (UCD, Dublin, Ireland) was performed and the best region of tax gene was selected. Primer 3 and Beacon Designer™ software were used to design the primers and probes. Specificities and characteristics of each primer were evaluated using NCBI and Gene Runner™ software (version 6.0; Frank Buquicchio and Michael Spruyt Institute, Florida, USA), and OLIGO Primer Analysis Software (version 7.0; Molecular Biology Insights Inc., Cascade, USA), respectively. Also, the sequence of human glyceraldehyde 3-phosphate dehydrogenase (GAPDH) gene was used as an internal control. Sequences for primers were as follows: (a) tax F (5′-TTGTTCCCTCGACTG CATG-3′); (b) tax R (3′-ATTGGCATTGGTAGGGCTG-5′) and (c) probe (FAM-GATCAACTGCCCCCTTCCG-BHQ1). The endogenous control was tested by amplifying a 120 bp sequence of the GAPDH gene using primers GAP F (5′- CGAGATCCCTCCAAAATCAA-3′; GAP R (3′-TTCACACCCAT GACGAACAT-5′), and GAP probe (HEX-TGGAGAAGGC TGGGGCTCAT-TAMRA). Cycling conditions were 95.00 ˚C for 1 min, 58.00 ˚C for 30 sec, and 72.00 ˚C for 30 sec for 40 cycles. The location of the internal BLV TaqMan® probe, regions of the BLV genome, is 7,511 - 7,529 in the near 5′ sequences of forward primer.
Viral RNA extraction. Viral RNA was extracted from the positive sample using FavorPrep™ kit (Ping Tung Biotechnology Park, Taipei, Taiwan) and then reverse transcription reaction was immediately performed using cDNA synthesis kit (Yekta Tajhiz Azma, Tehran, Iran) according to the manufacturer's protocol. Subsequently, a quantitative and qualitative analysis of the extracted genome was performed. The produced cDNA was applied as a template for the next step.19
Cloning the desired fragment in the plasmid. For quantitative measurement of the viral genome, cDNA molecule with certain values should be used as a standard. This standard was prepared by cloning the PCR product into a cloning vector. Thus, the desired sequence obtained from the application of the primers was cloned into the standard pTZ57 vector using cutting enzymes. To propagate the recombinant vector containing the desired gene, the reaction product was transferred into TOP10 Escherichia coli strain predisposed by CaCl2 and then cultured in an Luria Broth (LB) agar medium (HiMedia, Maharashtra, India) with ampicillin (100 μg mL-1). The recombinant clones confirmed plasmid containing the target gene (tax gene) by colony PCR technique with designed primers.19 This was both as a positive control of kit compared to the genome extracted from samples of BLV virus-suspected and also to determine (Validation Primers) primers in the kit optimization stages.
cDNA synthesis. The cDNA synthesis was done in a volume of 20.00 mL with 1.25 mM random hexadeoxy-ribonucleotide, 5.00 mM MgCl2, 10.00 mM Tris + HCl (pH = 8.30), 50.00 U MuLV reverse transcriptase, 50.00 mM KCl, 0.50 U mL-1 RNase inhibitor, and 1.00 mM dNTPs (Amersham Pharmacia Biotech, Amersham, UK). The mixture was annealed at 42.00 ˚C for 60 min and quenched at 95.00 ˚C for 5 min. The ultimate volume was adjusted to 100 mL using RNase-free water.20 Since the DNA used as a template contained a promoter section, we would get a false positive response if the obtained RNA products were directly entered into the Real-time reaction.
Determination of the sensitivity and specificity of primers. In order to determine the analytical sensitivity of the reaction, serial dilutions (log dilutions) method of DNA by a factor of 100 - 109 copies per mL was prepared, and then the Real-time reaction was repeated three times for each dilution to determine the lowest dilution (Technical reproducibility method).21 To determine the diagnostic method specificity, besides verifying the correctness of the specific binding of the primers to the desired pattern in the NCBI nucleotide basic local alignment search tool (BLAST) database, several genomic samples of viruses such as human T-cell lymphotropic virus type 1 (HTLV-1), Hepatitis B virus (HBV), Epstein-Barr virus (EBV) and mouse mammary tumor virus (MMTV) were used. Fifty negative animal and 50 human samples were used in which the absence of BLV virus was confirmed by nested-PCR method to determine the clinical features.
Real-time PCR reaction to detect BLV-tax. RealQ Plus 2.00 X Master Mix for Probe (Ampliqon, Odense Denmark) was used to generate a standard curve with 10 different concentrations of cDNA obtained from RNA prepared by in vitro transcription method. The 100 - 109 copies per mL were selected. The amplification reaction was performed in a volume of 25.00 µL containing 12.00 µL of Master Mix, 5.00 µL of cDNA from serial dilutions prepared in a ratio of 10.00 to 1.00, 0.40 µL of each primer and 0.20 µL of the probe prepared using the template from.10 The immunohistochemical pathology and examination of PBMC cells clearly showed that the number of BLV proviral copies led to an increase in the severity of the disease.
Statistical analysis. The determination of the concentration of similar replicates in a cycle of real-time PCR is displayed as standard deviation (SD) for different cycling thresholds (Ct). For this purpose, 3 replicates of each concentration of the sample were analyzed in each working reaction and the values of the coefficient of variation (CV) for Ct values, the R2 coefficient and the slope of the line for the standard samples were calculated. Data are reported as mean + SD using SPSS Software (version 16.0; SPSS Inc., Chicago, USA), and one-way analysis of variance compared to the results. A p-value < 0.05 was considered significant.
Results
Quantitative and qualitative analysis of extracted RNAs. The absence of protein and phenol contamination of the extracted RNAs were confirmed by NanoDrop™ 2000 spectrophotometer (Thermo Fisher Scientific, Waltham, USA). The 260/280 absorbance ratio for all samples was between 1.80 and 2.00 indicating the absence of protein contamination, and the 260/230 absorbance ratio for all samples was in the range of 2.00 indicating minimal phenol contamination. The quality of the samples was examined using 1.00% agarose gel electrophoresis.
Cloning of BLV tax gene sequence in PTZ57 vector. The PCR product containing the adenine end was linked to pTZ57RT vector to its transfer into Top10 E. coli strain. Cloning was confirmed by PCR on colonies grown on an antibiotic-containing medium using tax-specific primers (Fig. 1A).
Fig. 1.
A) Polymerase chain reaction (PCR) result for the extracted plasmid containing the tax gene sequence. LM: 100 bP Ladder Marker, Lanes 1 - 3: Plasmids extracted from recombinant bacteria containing gene bovine leukemia virus -tax and NC: Negative control. B) The result of PCR electrophoresis for the genomes of HTLV-1, HBV, EBV, mouse mammary tumor virus (MMTV), and bovine leukemia virus (BLV). Lanes 1 and 2: BLV-tax gene, LM: 100 bP Ladder Marker, Lane 3: HTLV-1, Lane 4: HBV, Lane 5: EBV, Lane 6: MMTV, and NC: Negative control.
Result of PCR determination of specificity. The genomes of HTLV-1, HBV, EBV and MMTV viruses and the genomic sample of BLV as a positive control were subjected to PCR analysis after cDNA extraction. The results showed that no cross-reaction was occurred for any of the viruses (Fig. 1B).
Sensitivity assessment. The results showed that none of the serum samples from healthy individuals had a false-positive reaction and the specificity of this method for BLV-tax detection was calculated to be 100%. The reproducibility tests were performed with the prepared serial dilutions (100 - 109 copies per mL).
The variation coefficient of Ct determined in the reproducibility intra- and inter- assays for all serial dilutions was lower in each case and it ranged from 3.00 to 5.00% that this method has high reproducibility (Table 1). In this area, all criteria of R2, intercept and slope were included in the confirmed range of Real-time PCR. The y-intercept parameter was equal to 35 out of 54, which showed the sensitivity and accuracy of the developed method. The slope was 3.28 and the R2 coefficient was equal to 1 indicating the high efficiency of the reaction (Fig. 2). Infection with BLV was characterized by three progressive stages of disease: Asymptomatic stage, persistent lymphocytosis and lymphoma. The tax protein of BLV immortalized a part of BLV-infected cells and induced polyclonal proliferation of the cells. However, the tax protein did not have the ability to transform the cells. For lymphoma to develop, a malignant transformation was needed to occur with the help of host factors such as p53 mutation, TNF-α activities or bovine leukocyte antigen class II phosphorylation. The provirus load was increased with disease progression. Most studies of BLV-induced leukemogenesis have focused on the tax protein because it is believed to be a potent transcriptional activator of viral gene expression. It is considerable that increasing the proviral load of BLV virus is important for the ability of tax protein to induce host cell oncoproteins.
Table 1.
The results of the internal (first row data) and inter-rater (second row data) measurement repeatability tests.
| BLV-tax (copy number per mL) | Coefficient of variation (%) | Average cycling threshold values | Standard deviation |
|---|---|---|---|
| 109 | 2.30 2.70 |
5.78 5.92 |
0.80 0.18 |
| 108 | 1.00 1.20 |
9.39 8.25 |
0.10 0.22 |
| 107 | 1.20 1.60 |
12.47 12.00 |
0.14 0.14 |
| 106 | 1.00 1.30 |
15.63 15.32 |
0.13 0.13 |
| 105 | 2.20 2.50 |
19.11 19.01 |
0.80 0.78 |
| 104 | 1.10 1.70 |
22.56 22.44 |
0.18 0.85 |
| 103 | 1.00 0.9 |
5.72 5.30 |
0.19 0.24 |
| 102 | 2.10 2.30 |
29.19 28.10 |
0.80 0.82 |
| 101 | 2.40 2.60 |
32.47 33.00 |
0.60 0.35 |
| 100 | 2.30 2.70 |
19.01 18.98 |
0.55 0.28 |
Fig. 2.
The tax gene amplification curve with successive dilutions of 100 - 109 copies per mL.
Discussion
The leading cause of breast cancer is not known and many factors cause its progression and development. Infectious agents, particularly viruses, may be associated with the development of breast cancer. Some meta-analysis and cross-sectional studies on the relationship between HPV, EBV, BLV and MMTV and breast cancer showed the prevalence of such viral infections in breast cancer patients compared to the control group.2, 22-24
The use of an accurate and specific diagnostic method for BLV can play an important role in the diagnosis and treatment of breast cancer caused by this virus. Compared to serological methods, the real-time PCR method was not only very sensitive and specific but also simple and time-saving to use.
To monitor and find the treatment status of patients, the method used for quantitative measurement must provide accurate and repeatable results. In this study, re-producibility was investigated at the intra- and inter-assay levels. Internal measurement reproducibility examined both user and non-calibration errors of the instruments used. This was the case when inter-assay reproducibility, laboratory errors including equipment used, enzymes or master mixes and non-calibration of standards could check the stability and durability of the reaction. According to the criteria and guidelines of the University of American Pathology, the coefficient of variation for intra-assay reproducibility should not exceed 5.00%, and for inter-assay reproducibility should be less than 10.00% indicating the adequate reproducibility of an assay which our method was less than 2 and 6, respectively.25
Methods based on nucleic acid (nucleic acid testing) detection have been developed to identify the nucleic acid of viruses. The TaqMan® PCR assay, developed by Holland et al., utilizes the 5′-nuclease activity of Taq DNA polymerase. A fluorogenic probe that binds specially between the two PCR primers experiences degradation during every PCR cycle which releases the fluorophore leading to cancelation of the quenching of the two fluorescent markers, and the target gene amplification is monitored as an increasing fluorescent signal.26,27
The introduction of this method, which is also inexpensive, can help individuals with breast cancer caused by contamination with the BLV virus to complete their treatment process simultaneously with chemo-therapy and antiretroviral drugs. Lew et al, have developed a TaqMan® real-time PCR method for detecting BLV proviruses based on the conserved region of the gag gene. Results showed that this method was 100-fold more sensitive than conventional PCR assays and its lowest diagnostic rate was about 45 copies per mL of the viral genome.28 Jimba et al. were able to identify a wide range of BLV mutant viruses using our newly developed BLV CoCoMo-qPCR method.13 They also used degenerate primers based on the long terminal repeat (LTR) gene sequence of BLV virus and TaqMan® probes to measure viral load. The diagnostic range was a virus with less than 155 copies per mL of virus in positive samples from infected cows with different strains.13,29 According to Dao et al. three out of 33 specimens in northern Vietnam for the BLV pol gene by real-time PCR were negative using the TaKaRa CycleavePCRTM system.30
Tang et al. developed a quantitative method to identify the pol gene of the Human immunodeficiency virus type 1 (HIV-1) virus based on the probe. This method had high sensitivity with a linear range between 1.00 × 107 - 4.00 × 107 copies per mL.31 In another study, Kamangu et al. applied a method to find the LTR gene with a minimum detection limit of 105 copies per mL.32 The results of their study compared to methods developed for the detection of HIV-1 virus showed that the INT gene was used for the first time as a target for the detection of this virus.31-33 Acharya et al. have developed a proprietary real-time PCR method to identify subtype C of HIV based on the conserved regions of the gag gene. The linearity of this method was in the range of 50 copies of the viral genome to 107 copies of the virus per mL of plasma sample, and the lowest detection range was about 50 copies per mL of the viral genome.33 The linear range and minimum detection limit of this developed method were also comparable to other methods presented.
In the USA, 83.90% of dairy cattle and 39.00% of beef cattle were infected with BLV and in Iran, 22.10 - 34.70% of dairy cattle were reported BLV-positive.2 Buehring et al. reported that the BLV antibodies and genome for the capsid protein (P24) were detected in blood specimens from women.3 Also, they detected BLV DNA in the breast tissue of 80.00% of females with breast cancer compared to 41.00% in the negative control group.34 Khalilian et al. showed an association between breast cancer and BLV in Iran that the frequency of BLV DNA based on the tax gene in women with breast cancer was 30.00%.2
In addition to high sensitivity and specificity, this diagnostic method is easy to use and can determine the level of BLV RNA in a shorter time, and it can be easily used in diagnostic centers. The standards that are available in the form of commercial panels are very expensive, and in terms of their availability, there are many limitations that plague researchers. The standards produced in the present research were much cheaper in the laboratory, and since the present method had a wide dynamic range, it could be useful in diagnosing acute cases of disease and tracking treatment outcomes in patients undergoing treatment who have different viral loads. Because the Real-time PCR method based on the TaqMan® probe did not require post-amplification steps, it not only reduced costs but also minimized the transmission of technical contaminants that led to false positive results.
This test used the special tax gene which was conserved among the different genotypes of BLV viruses and was not the case in other methods. Therefore, the sensitivity and specificity of the method were greatly increased and improved compared to the existing methods. It also bears other advantages such as increasing the speed by reducing the replication time and eliminating the detection step after replication.35
Therefore, according to the results of the present study, it seems that the above method could be used in diagnostic centers as an auxiliary method in the treatment and diagnosis of breast cancer and also in the diagnosis of BLV infection in cattle.
Infection with BLV causes a severe economic burden in the cattle industry. The infection spreads insidiously because there is no successful treatment or vaccination. It is hoped that BLV infection in farms can be eradicated or prevented as soon as possible. Also, previous studies showed an association between BLV and breast cancer. Our current qPCR system was regarded as a highly accurate, specific and sensitive tool to detect the internal control gene (Human GAPDH) and all BLV strains in a tube separator medium.
Acknowledgments
The authors gratefully acknowledge those who supported us in sample collection and pathology. This research received specific grant from the Tehran University, Tehran, Iran, and Kosha Gen Novin Company (Qom, Iran).
Conflict of interest
The authors declare no conflict of interest.
References
- 1.Schwingel D, Andreolla AP, Erpen LMS, et al. Bovine leukemia virus DNA associated with breast cancer in women from South Brazil. Sci Rep. 2019;9(1):2949. doi: 10.1038/s41598-019-39834-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Khalilian M, Hosseini SM, Madadgar O. Bovine leukemia virus detected in the breast tissue and blood of Iranian women. Microb Pathog. 2019;135:103566. doi: 10.1016/j.micpath.2019.103566. [DOI] [PubMed] [Google Scholar]
- 3.Buehring GC, DeLaney A, Shen H, et al. Bovine leukemia virus discovered in human blood. BMC Infect Dis. 2019;19(1):297 . doi: 10.1186/s12879-019-3891-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Buehring GC, Shen H, Schwartz DA, et al. Bovine leukemia virus linked to breast cancer in Australian women and identified before breast cancer development. PloS One. 2017;12(6):e0179367. doi: 10.1371/journal.pone.0179367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Philpott SM, Buehring GC. Defective DNA repair in cells with human T-cell leukemia/bovine leukemia viruses: role of tax gene. J Natl Cancer Inst. 1999;91(11):933–942. doi: 10.1093/jnci/91.11.933. [DOI] [PubMed] [Google Scholar]
- 6.Kazemimanesh M, Madadgar O, Steinbach F, et al. Detection and molecular characterization of bovine leukemia virus in various regions of Iran. J Gen Virol. 2019;100(9):1315–1327. doi: 10.1099/jgv.0.001303. [DOI] [PubMed] [Google Scholar]
- 7.Haghparast A, Tabatabaeizadeh SE, Mohammadi GR, et al. Prevalence of bovine leukemia virus (BLV) antibodies in bulk tank milk of dairy cattle herds of Mashhad area, north east of Iran. J Anim Vet Adv. 2012;11(2):276–280. [Google Scholar]
- 8.Buehring GC, Shen HM, Jensen HM, et al. Exposure to bovine leukemia virus is associated with breast cancer: a case-control study. PloS One. 2015;10(9):e0134304. doi: 10.1371/journal.pone.0134304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Joshi D, Buehring GC. Are viruses associated with human breast cancer? Scrutinizing the molecular evidence. Breast Cancer Res Treat. 2012;135(1):1–15. doi: 10.1007/s10549-011-1921-4. [DOI] [PubMed] [Google Scholar]
- 10.Polat M, Takeshima SN, Aida Y. Epidemiology and genetic diversity of bovine leukemia virus. Virol J. 2017;14(1):209 . doi: 10.1186/s12985-017-0876-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Gilks CF, Crowley S, Ekpini R, et al. The WHO public-health approach to antiretroviral treatment against HIV in resource-limited settings. Lancet. 2006;368(9534):505–510. doi: 10.1016/S0140-6736(06)69158-7. [DOI] [PubMed] [Google Scholar]
- 12.Bustin SA, Benes V, Garson JA, et al. The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem. 2009;55(4):611–622. doi: 10.1373/clinchem.2008.112797. [DOI] [PubMed] [Google Scholar]
- 13.Jimba M, Takeshima SN, Matoba K, et al. BLV-CoCoMo-qPCR: quantitation of bovine leukemia virus proviral load using the CoCoMo algorithm. Retrovirology. 2010;7:91 . doi: 10.1186/1742-4690-7-91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kobayashi T, Inagaki Y, Ohnuki N, et al. Increasing bovine leukemia virus (BLV) proviral load is a risk factor for progression of enzootic bovine leucosis: a prospective study in Japan. PrevVet Med. 2019;S0167-5877: )30795–5. doi: 10.1016/j.prevetmed.2019.04.009. [DOI] [PubMed] [Google Scholar]
- 15.Donnik IM, Gulyukin MI, Busol VA, et al. Enzootic bovine leukosis - diagnostics, eradication, and anthro-pozoonotic potential (background) Agric Biol. 2021;56(2):230–244. [Google Scholar]
- 16.Rajapaksha P, Elbourne A, Gangadoo S, et al. A review of methods for the detection of pathogenic microorganisms. Analyst. 2019;144(2):396–411. doi: 10.1039/c8an01488d. [DOI] [PubMed] [Google Scholar]
- 17.Yang JR, Kuo CY, Huang HY, et al. Newly emerging mutations in the matrix genes of the human influenza A(H1N1) pdm09 and A(H3N2) viruses reduce the detection sensitivity of real-time reverse transcription-PCR. J Clin Microbiol. 2014;52(1):76–82. doi: 10.1128/JCM.02467-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kumar S, Stecher G, Li M, et al. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol. 2018;35(6):1547–1549. doi: 10.1093/molbev/msy096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Farahmand M, Monavari SH, Shoja Z, et al. Epstein-Barr virus and risk of breast cancer: a systematic review and meta-analysis. Future Oncol. 2019;15(24):2873–2885. doi: 10.2217/fon-2019-0232. [DOI] [PubMed] [Google Scholar]
- 20.Ozsolak F, Milos PM. Single‐molecule direct RNA sequencing without cDNA synthesis. Wiley Interdiscip Rev RNA. 2011;2(4):565–570. doi: 10.1002/wrna.84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Juelg P, Specht M, Kipf E, et al. Automated serial dilutions for high-dynamic-range assays enabled by fill-level-coupled valving in centrifugal microfluidics. Lab Chip. 2019;19(13):2205–2219. doi: 10.1039/c9lc00092e. [DOI] [PubMed] [Google Scholar]
- 22.Kamińska M, Ciszewski T, Łopacka-Szatan K, et al. Breast cancer risk factors. Prz Menopauzalny. 2015;14(3):196–202. doi: 10.5114/pm.2015.54346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Khalilian M, Hosseini SM, Vahidi Emami H, et al. High frequency of HPV genotypes 16 and 18 found in breast cancer patients: evidence for a more comprehensive HPV vaccination program in Iran. J Adv Biomed Sci. 2023;13(2):158–166. [Google Scholar]
- 24.Delarmelina E, Buzelin MA, Souza BS, et al. High positivity values for bovine leukemia virus in human breast cancer cases from Minas Gerais, Brazil. PloS One. 2020;15(10):e0239745. doi: 10.1371/journal.pone.0239745. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Wojewoda CM, Anderson NW, Humphries RM, et al. College of American Pathologists (CAP) Microbiology Committee perspective: the need for verification studies. J Clin Microbiol. 2020;58(4):e02105–19. doi: 10.1128/JCM.02105-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Yoo HM, Kim IH, Kim S. Nucleic acid testing of SARS-CoV-2. Int J Mol Sci. 2021;22(11):6150. doi: 10.3390/ijms22116150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Holland PM, Abramson RD, Watson R, et al. Detection of specific polymerase chain reaction product by utilizing the 5'----3'exonuclease activity of Thermus aquaticus DNA polymerase. Proc Natl Acad Sci USA. 1991;88(16):7276–7280. doi: 10.1073/pnas.88.16.7276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Lew AE, Bock RE, Miles J, et al. Sensitive and specific detection of bovine immunodeficiency virus and bovine syncytial virus by 5′ Taq nuclease assays with fluorescent 3′ minor groove binder-DNA probes. J Virol Methods. 2004;116(1):1–9. doi: 10.1016/j.jviromet.2003.10.006. [DOI] [PubMed] [Google Scholar]
- 29.Takeshima SN, Kitamura-Muramatsu Y, Yuan Y, et al. BLV-CoCoMo-qPCR-2: improvements to the BLV-CoCoMo-qPCR assay for bovine leukemia virus by reducing primer degeneracy and constructing an optimal standard curve. Arch Virol. 2015;160(5):1325–1332. doi: 10.1007/s00705-015-2377-3. [DOI] [PubMed] [Google Scholar]
- 30.Dao TD, Nguyen HT, Than ST, et al. Bovine leukemia virus genotype 1 and 6 are circulating among dairy and beef cattle of small and medium holding farms in northern Vietnam. Jpn J Vet Res. 2019;67(1):83–92. [Google Scholar]
- 31.Tang N, Huang S, Salituro J, et al. A RealTime HIV-1 viral load assay for automated quantitation of HIV-1 RNA in genetically diverse group M subtypes A–H, group O and group N samples. J Virol Methods. 2007;146(1-2):236–245. doi: 10.1016/j.jviromet.2007.07.003. [DOI] [PubMed] [Google Scholar]
- 32.Kamangu EN, Chatte A, Boreux R, et al. Comparison of an in-house quantitative real-time PCR and COBAS ampliprep/Taqman Roche for determination of viral load for HIV type 1 non-B. OALib J. 2015;2:e1402. [Google Scholar]
- 33.Acharya A, Vaniawala S, Shah P, et al. A robust HIV-1 viral load detection assay optimized for Indian sub type C specific strains and resource limiting setting. Biol Res. 2014;47:22. doi: 10.1186/0717-6287-47-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Buehring GC, Shen HM, Jensen HM, et al. Bovine leukemia virus DNA in human breast tissue. Emerging Infect Dis. 2014;20(5):772–782. doi: 10.3201/eid2005.131298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Gorbunova ME, Safina RF, Usoltcev KV, et al. A new approach to the diagnosis of enzootic leukosis by genetic markers of bovine leukemia virus. Biointerface Res Appl Chem. 2022;12(4):4448–4462. [Google Scholar]


