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 Table of Contents  
Year : 2022  |  Volume : 11  |  Issue : 3  |  Page : 299-302

Cytokines dynamics in a wistar rat model infected with Mycobacterium Tuberculosis strain H37Rv

1 Faculty of Medicine, Sebelas Maret University; Department of Pathology, Faculty of Medicine, Dr. Moewardi Hospital, Sebelas Maret University, Surakarta, Central of Java, Indonesia
2 Department of Pathology, Faculty of Medicine, Dr. Moewardi Hospital, Sebelas Maret University, Surakarta, Central of Java, Indonesia
3 Department of Pulmonology and Respiration Medicine, Faculty of Medicine, Dr. Moewardi Hospital, Sebelas Maret University, Surakarta, Central of Java, Indonesia

Date of Submission20-May-2022
Date of Decision21-Jul-2022
Date of Acceptance15-Aug-2022
Date of Web Publication12-Sep-2022

Correspondence Address:
Bobby Singh
Jl. Kolonel Sutarto, Jebres, Kec. Jebres, Kota, Surakarta, Jawa Tengah 57126
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijmy.ijmy_84_22

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Background: The immunology characteristics of the rat model of tuberculosis (TB) infection are still unclear. This study aimed to evaluate the dynamics of pathology and cytokines in a rat model infected with Mycobacterium TB (MTB). Methods: Sixty male Wistar rats were divided into four groups, namely the control group (without MTB infection) and the MTB -induced group (observations at week-3, week-6, and week-12 postinfection). Granuloma formation was analyzed by histology procedure. Analysis of the levels of tumor necrosis factor-a (TNF-α), interleukin-6 (IL-6), IL-17, IL-2, IL-4, and IL-12 was performed using an enzyme-linked immunosorbent assay technique. Results: The number and size of the ganulomas increased proportionally between weeks 6 and 12 postinfection. Several cytokines, namely IL-6, IL-17, IL-2, IL-4, and IL-12 significantly increased in the 6th week compared to the 3rd week after infection (P < 0.05). These cytokines decreased significantly at the 12th week compared to the 6th week (P < 0.05). TNF-α was found to be stable at the third and 6th weeks and then decreased at the twelfth postinfection week. For IL-12, the longer the infection time, the higher the level. Conclusions: It was concluded that there was a typical pattern of TB infection in Wistar rats, namely certain cytokines that peaked at week 6 of infection. Thus, TB infection in rats can be a model for early-phase TB study.

Keywords: Experimental animal models, granuloma, immunology, pathology, pulmonary tuberculosis

How to cite this article:
Singh B, Wasita B, Reviono R. Cytokines dynamics in a wistar rat model infected with Mycobacterium Tuberculosis strain H37Rv. Int J Mycobacteriol 2022;11:299-302

How to cite this URL:
Singh B, Wasita B, Reviono R. Cytokines dynamics in a wistar rat model infected with Mycobacterium Tuberculosis strain H37Rv. Int J Mycobacteriol [serial online] 2022 [cited 2023 Jan 28];11:299-302. Available from: https://www.ijmyco.org/text.asp?2022/11/3/299/355929

  Introduction Top

Tuberculosis (TB) is a granulomatous infection caused by the bacteria Mycobacterium TB (MTB). Southeast Asia has the highest incidence of TB, accounting for nearly 40% of all cases worldwide. Each year, Southeast Asian countries, namely India, Bangladesh, Thailand, Myanmar, and our country Indonesia, generate 3.4 million new cases.[1] With high cases (including the top five diseases in Indonesia),[2],[3] treatment resistance,[4],[5] and attacks on the adolescent population,[6],[7] the TB situation in Indonesia is particularly complex. Furthermore, Indonesia, India, and Nigeria account for half of all unrecorded or undiagnosed cases,[8],[9] particularly latent TB.[9],[10]

Aside from the concerns mentioned above, one of the ongoing causes of TB is the lack of an appropriate animal model. Rats, mice, guinea pigs, and rabbits are used as TB model animals. Mice are not sensitive to tuberculin. Guinea pigs transmit illnesses similar to those found in newborns and sick people. The rabbit is a TB animal model that closely reflects human disease characteristics.[11] These various animal models were chosen for their economy, infection mechanism, and application goal.[12] However, the use of animal models for TB studies is currently being debated. The goal of this study is to look at the histology profile and cytokine levels in a MTB -infected rat.

  Methods Top


Male Wistar strains weighing 200–250 g were used in this study. These rats were collected from the animal house of the Bogor Veterinary Research Institute in West Java, Indonesia. Rats were housed in biosafety level 3 cages at the Veterinary Research Institute in Bogor, West Java, Indonesia. The rats were acclimatized for 7 days before to the experiment. During the trial, the rats were fed regular chow and had unfettered access to water.

Tuberculosis rat model

MTB strain H37Rv from the American Type Culture Collection was utilized to create this disease model. In order to cause pulmonary TB, an inhalation approach was used. MTB was breathed using aerosolids for 30 min. The bacterial concentration per lung was 105 colony forming units. Three weeks after the infection, the first examination was performed. The second and third observations were made 6 and 12 weeks after infection.

Blood sampling

Ketamine was administered intramuscularly into the rat thigh muscle for surgery. Blood samples were drawn from the posterior vena cava after thoracic surgery. While the heart was still beating, blood was drawn. The blood was then placed in a vacutainer to separate the serum. For 15 min, blood samples were centrifuged at 3000 rpm. The serum was stored at −40°C overnight before being moved to −80°C the next day for testing. The lobes of the lung were all taken for histological study.

Cytokines analysis

An enzyme-linked immunosorbent assay (ELISA) was used to assess tumor necrosis factor (TNF)-and interleukin (IL) such as IL-6, IL-17, IL-2, IL-4, and IL-12 in serum. The analysis was carried out in accordance with the kit's detailed procedure. Rat IL-6 ELISA (Bioenzy, Jakarta, Indonesia, Catalog No BZ-08185310-EB), Rat IL-17 ELISA (Bioenzy, Jakarta, Indonesia, Catalog No BZ-08185110-EB), Rat IL-2 ELISA (Bioenzy, Jakarta, Indonesia, Catalog No BZ-08183210-EB), Rat IL-4 ELISA (Bioenzy, Jakarta, Indonesia, Catalog No BZ-08183310-EB), Rat Tumor Necrois Factor Alpha ELISA (Bioenzy, Jakarta, Indonesia, Catalog No BZ-08184670-EB), Rat IL-12 ELISA (Bioenzy, Jakarta, Indonesia, Catalog No BZ-08189041-EB), and Rat IL-10 ELISA (Bioenzy, Jakarta, Indonesia, Catalog No BZ-08188010-EB) were applied for those assay.

  Results Top

Histological marker

[Figure 1] depicts the histological alterations in the lung throughout the course of several weeks of monitoring. Nonspecific nongranulomatous pneumonia was observed in the 3rd week. Granulomas of various sizes began to emerge at 6 weeks. Multinucleated giant cells were found at week 12.
Figure 1: The histology of lung from all groups. (a) Control, (b) tuberculosis group at weeks 3 of observation, (c) tuberculosis group at weeks 6 of observation, (d) tuberculosis group at weeks 12 of observation

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Cytokines marker

[Table 1] shows the cytokine levels in various week of observation. TNF-α levels in all weeks of observation increased significantly compared to controls (P < 0.5). The mean TNF-α levels were comparable between the third and 6th weeks (P > 0.05), then decreased significantly at the 12th week compared to the 6th week (P < 0.5). For IL-6, IL-17, IL-2, IL-4, and IL-12 were found to be higher at all weeks of observation than controls (P < 0.5). The levels of IL-6, IL-17, IL-4, and IL-12 at the 6th week were significantly higher than the third and 12th weeks (P < 0.5). IL-2 levels at the 12th week were significantly higher than the 3rd and 6th weeks (P < 0.5).
Table 1: The levels of cytokine in each weeks of observation

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  Discussion Top

Pathology of animal model of tuberculosis

Our findings show the clinical and immunological characteristics of MTB infection induced by inhalation. Inhaling MTB caused logarithmic bacterial multiplication in experimental animals for up to 3 weeks, according to earlier research. Furthermore, it will enter a chronic phase with no increase in bacterial levels in the lungs.[13] Pathological results in this investigation revealed nonspecific nongranulomatous pneumonia (week 3), the presence of granulomas of various sizes (week 6), and multinucleated giant cells (week 2). Furthermore, the number and size of granulomas peaked after 6 weeks. Granuloma formation takes 2–6 weeks and is produced by an immune response that causes lymphocytes and macrophages to collect at the lesion site.[14] The histology findings of this investigation are consistent with a previous publication.[15]

Cytokines profile of animal model of tuberculosis

T cells' particular responses to MTB and cytokine expression differ based on infection status.[16] Cluster of differentiation 4 (CD4) and CD8 T lymphocytes help to protect against MTB infection. CD4 T cells produce interferon gamma (IFN-γ) and TNF-α through the action of CD8+ T cells, as well as cytotoxicity against infected macrophages.[17],[18] IFN-γ and TNF-α are particularly important for macrophage antimicrobial activation.[15],[19],[20] In addition to these events, IL-17 is also involved in the control of primary infection.[21] Recent data demonstrate that IL-6 is not a predictor of elevated IL-17 in experimental animals infected with aerosolized MTB.[22]

In this study, we found a biphasic profile for the cytokines IL-6, IL-17, IL-4, and IL-12, with an increase at 6 weeks and a drop at 12 weeks. A linear pattern was discovered for TNF-α in the early weeks, which then reduced at week 12. The longer the observation, the higher the levels of IL-2. This finding suggests that IL-6, IL-17, IL-4, and IL-12 all have the same secretory profile. As a result of the interaction between MTB and macrophage receptors, IFN-γ, IL-2, IL-12, and TNF-α are produced as a signal of infection. This signal is designed to transport monocytes from the bloodstream to the affected lung.[23],[24]

TNF-α levels were comparable at weeks 3 and 6, but then fell at week 12. Comparable levels for weeks 3 and 6 imply that TNF-α attempts to limit bacterial proliferation in organs in the early stages of infection and is present both at the site of infection and in the circulation for signaling.[23],[25] High TNF-α levels aid in the spread of granulomas, the severity of infections, and the improvement of pathology.[26] A reduction in week 12 indicates that the signal in the circulation is fading.

Previous study has suggested that IL-6 is associated with sickness.[27] In this study, IL-6 levels were highest at week 6 compared to weeks 3 and 12. The increase from the third to the 6th week indicates that IL-6 acts as a proinflammatory cytokine. IL-6 is the only cytokine that increases in response to cell-mycobacterium interactions.[28] The decline at week 12 indicated that the bacterial load had stabilized and that there was no interaction between cells and bacteria.

In the presence of MTB infection, IL-2 is a cytokine generated by T cells that aids in cellular immunity. IL-2 is used in patients to distinguish between latent and active TB by enhancing the latent state.[29],[30],[31] Reduced bacterial replication and antigen are associated with an increase in secreting T cells.[32] We hypothesize that elevated IL-2 levels indicate TB latency, as evidenced by poor replication and antigen levels. In contrast, IL-2 is an inflammatory cytokine.[31] According to our findings, the increase at week 6 is due to its action as an inflammatory cytokine. A latency phase arises from an increase in week 12.

Collaboration between macrophages and T cells is necessary for TB defense. IL-12 is the major immune response cytokine.[33],[34] In our study, IL-12 levels peaked at 6 weeks and then dropped at 12 weeks. This suggests that IL-12 was present at week 6 as a result of collaboration between macrophages and T cells and then decreased at week 12. IL-4 experienced the same fate. Because IL-4 can downregulate the immune response, it can lead to failure to treat sickness.[26]

Although it causes harm in advanced TB, IL-17 is useful in TB prevention by recruiting neutrophils.[35] Peak levels of IL-7 were reported at 6 weeks as opposed to 3 and 12 weeks in this investigation. In the 12th week, there was a decrease. This shows that IL-17 secretion is intended to prevent TB until the 6th week. Furthermore, IL-17 levels decrease as the organism enters a dormant condition. The revelation that activating H37RvMTB enhances IL-17 production in neutrophils, which is dependent on the paracrine activities of IL-6 and IL-23, backs up the findings in this rat model. The comparability of IL-6 and IL-17 profiles was confirmed in our study.[36]

  Conclusions Top

It was concluded that there was a typical pattern of TB infection in mice, namely cytokines and granuloma pathology peaked at 6 weeks of infection. Thus, TB infection in mice can be a model for early-phase TB research.

Limitation of study

The limitation of this study is that chemokine measurements and cell population analysis were not carried out so as to provide a complete immunological profile.


All authors would like to acknowledge the technician and laboratory animal worker in Pathology and Cinical Pathology Laboratory, Faculty of Medicine, Sebelas Maret University, Surakarta, Central Java, Indonesia.

Ethical statement

All experimental animals were kept in facilities according to the protocols approved by the Research Ethics Committee of the Faculty of Medicine, Sebelas Maret University, Surakarta, Central Java, Indonesia. (Number 758A/III/LPPM.PM.10.05/07/2020).

Financial support and sponsorship


Conflicts of interest

There are no conflicts of interest.

  References Top

Khan MK, Islam MN, Ferdous J, Alam MM. An overview on epidemiology of tuberculosis. Mymensingh Med J 2019;28:259-66.  Back to cited text no. 1
Purnamasari D. The emergence of non-communicable disease in Indonesia. Acta Med Indones 2018;50:273-4.  Back to cited text no. 2
World Health Organization. Global Tuberculosis Report 2019. Geneva: World Health Organization; 2019. Available from: https://www.who.int/tb/publications/global_report/en/. [Last accessed on 2021 Aug 24].  Back to cited text no. 3
Umar FF, Husain DR, Hatta MM, Natzir RR, Sjahril RS, Dwiyanti RR, et al. Molecular characterisation of mutations associated with resistance to first- and second-line drugs among Indonesian patients with tuberculosis. J Taibah Univ Med Sci 2020;15:54-8.  Back to cited text no. 4
Tania T, Sudarmono P, Kusumawati RL, Rukmana A, Pratama WA, Regmi SM, et al. Whole-genome sequencing analysis of multidrug-resistant Mycobacterium tuberculosis from Java, Indonesia. J Med Microbiol 2020;69:1013-9.  Back to cited text no. 5
Rakhmawati W, Nilmanat K, Hatthakit U. Moving from fear to realization: Family engagement in tuberculosis prevention in children living in tuberculosis Sundanese households in Indonesia. Int J Nurs Sci 2019;6:272-7.  Back to cited text no. 6
Collins D, Hafidz F, Mustikawati D. The economic burden of tuberculosis in Indonesia. Int J Tubercle Lung Dis 2017;21:1041-8.  Back to cited text no. 7
Lestari BW, McAllister S, Hadisoemarto PF, Afifah N, Jani ID, Murray M, et al. Patient pathways and delays to diagnosis and treatment of tuberculosis in an urban setting in Indonesia. Lancet Reg Health West Pac 2020;5:100059.  Back to cited text no. 8
Chee CB, Reves R, Zhang Y, Belknap R. Latent tuberculosis infection: Opportunities and challenges. Respirology 2018;23:893-900.  Back to cited text no. 9
Paton NI, Borand L, Benedicto J, Kyi MM, Mahmud AM, Norazmi MN, et al. Diagnosis and management of latent tuberculosis infection in Asia: Review of current status and challenges. Int J Infect Dis 2019;87:21-9.  Back to cited text no. 10
Sugawara I, Yamada H, Mizuno S. Pathological and immunological profiles of rat tuberculosis. Int J Exp Path 2004;85:125-34.  Back to cited text no. 11
Kumar N, Vishwas KG, Kumar M, Reddy J, Parab M, Manikanth CL, et al. Pharmacokinetics and dose response of anti-TB drugs in rat infection model of tuberculosis. Tuberculosis (Edinb) 2014;94:282-6.  Back to cited text no. 12
Mohammadzadeh P. Pharmacokinetics and dose response of three different anti-TB drugs in rat (balb/c) infection model of tuberculosis. Int J Mycobacteriol 2015;4:170.  Back to cited text no. 13
  [Full text]  
Turgut T, Akbulut H, Deveci F, Kacar C, Muz MH. Serum interleukin-2 and neopterin levels as useful markers for treatment of active pulmonary tuberculosis. Tohoku J Exp Med 2006;209:321-8.  Back to cited text no. 14
Sugawara I, Yamada H, Kazumi Y, Doi N, Otomo K, Aoki T, et al. Induction of granulomas in interferon-gamma gene-disrupted mice by avirulent but not by virulent strains of Mycobacterium tuberculosis. J Med Microbiol 1998;47:871-7.  Back to cited text no. 15
Santin M, Morandeira-Rego F, Alcaide F, Rabunal R, Anobarro L, Aguero-Balbin R, et al. Detection of interleukin-2 is not useful for distinguishing between latent and active tuberculosis in clinical practice: A prospective cohort study. Clin Microbiol Infect 2016;22:1007.e1-5.  Back to cited text no. 16
Singhal A, Aliouat el M, Hervé M, Mathys V, Kiass M, Creusy C, et al. Experimental tuberculosis in the Wistar rat: A model for protective immunity and control of infection. PLoS One 2011;6:e18632.  Back to cited text no. 17
Singhal A, Mathys V, Kiass M, Creusy C, Delaire B, Aliouat el M, et al. BCG induces protection against Mycobacterium tuberculosis infection in the Wistar rat model. PLoS One 2011;6:e28082.  Back to cited text no. 18
Kaneko H, Yamada H, Mizuno S, Udagawa T, Kazumi Y, Sekikawa K, et al. Role of tumor necrosis factor-alpha in Mycobacterium-induced granuloma formation in tumor necrosis factor-alpha-deficient mice. Lab Invest 1999;79:379-86.  Back to cited text no. 19
Yamada H, Mizuno S, Reza-Gholizadeh M, Sugawara I. Relative importance of NF-kappaB p50 in mycobacterial infection. Infect Immun 2001;69:7100-5.  Back to cited text no. 20
Gopal R, Monin L, Slight S, Uche U, Blanchard E, Junecko BA, et al. Unexpected role for IL-17 in protective immunity against hypervirulent mycobacterium tuberculosis HN878 Infection. PLoS Pathog 2014;10:e1004099.  Back to cited text no. 21
Ritter K, Sodenkamp JC, Hölscher A, Behrends J, Hölscher C. IL-6 is not absolutely essential for the development of a TH17 immune response after an aerosol infection with Mycobacterium tuberculosis H37rv. Cells 2021;10:9.  Back to cited text no. 22
Agustin H, Massi MN, Djaharuddin I, Susanto AD, Islam AA, Hatta M, et al. Analysis of CD4 and CD8 expression in multidrug-resistant tuberculosis infection with diabetes mellitus: An experimental study in mice. Ann Med Surg (Lond) 2021;68:102596.  Back to cited text no. 23
Lounis N, Ji B, Truffot-Pernot C, Ridley RG, Alber G, Grosset JH. Impacts of interleukin-12 on multiplication of Mycobacterium tuberculosis and Mycobacterium avium complex in mice. Clin Microbiol Infect 1999;5:331-8.  Back to cited text no. 24
Segueni N, Jacobs M, Ryffel B. Innate type 1 immune response, but not IL-17 cells control tuberculosis infection. Biomed J 2021;44:165-71.  Back to cited text no. 25
Nie W, Wang J, Jing W, Shi W, Wang Q, Huang X, et al. Value of serum cytokine biomarkers TNF-α, IL-4, sIL-2R and IFN-γ for use in monitoring bacterial load and anti-tuberculosis treatment progress. Cytokine X 2020;2:100028.  Back to cited text no. 26
Pandey P, Bhatnagar AK, Mohan A, Sachdeva KS, Vajpayee M, Das BK, et al. Insights in tuberculosis immunology: Role of NKT and T regulatory cells. Int J Microbacteriol 2019;8:333-40.  Back to cited text no. 27
El-Ahmady O, Mansour M, Zoeir H, Mansour O. Elevated concentrations of interleukins and leukotriene in response to Mycobacterium tuberculosis infection. Ann Clin Biochem 1997;34:160-4.  Back to cited text no. 28
Sargentini V, Mariotti S, Carrara S, Gagliardi MC, Teloni R, Goletti D, et al. Cytometric detection of antigen-specific IFN-γ/IL-2 secreting cells in the diagnosis of tuberculosis. BMC Infect Dis 2009;9:99.  Back to cited text no. 29
Biselli R, Mariotti S, Sargentini V, Sauzullo I, Lastilla M, Mengoni F, et al. Detection of interleukin-2 in addition to interferon-gamma discriminates active tuberculosis patients, latently infected individuals, and controls. Clin Microbiol Infect 2010;16:1282-4.  Back to cited text no. 30
Borgström E, Andersen P, Atterfelt F, Julander I, Källenius G, Maeurer M, et al. Immune responses to ESAT-6 and CFP-10 by FASCIA and multiplex technology for diagnosis of M. tuberculosis infection; IP-10 is a promising marker. PLoS One 2012;7:e43438.  Back to cited text no. 31
Chiappini E, Della Bella C, Bonsignori F, Sollai S, Amedei A, Galli L, et al. Potential role of M. tuberculosis specific IFN-γ and IL-2 ELISPOT assays in discriminating children with active or latent tuberculosis. PLoS One 2012;7:e46041.  Back to cited text no. 32
Waghmare PJ, Lende T, Goswami K, Gupta A, Gupta A, Gangane N, et al. Immunological host responses as surveillance and prognostic markers in tubercular infections. Int J Microbacteriol 2019;8:190-5.  Back to cited text no. 33
Abohashrh M, Ahmad I, Alam MM, Beg MM, Alshahrani MY, Irfan S, et al. Assessment of IL-12, mRNA expression, vitamin-D level, and their correlation among the Mycobacterium tuberculosis cases. Saudi J Biol Sci 2022;29:992-7.  Back to cited text no. 34
Natália B. Carvalho NB, de Lourdes Bastos M, Souza AS, Netto EM, Arruda S, et al. Impaired TNF-(, IL-1β, and IL-17 production and increased susceptibility to Mycobacterium tuberculosis infection in HTLV-1 infected individuals. Tuberculosis 2018;108:35-40.  Back to cited text no. 35
Hu S, He W, Du X, Yang J, Wen Q, Zhong XP, et al. IL-17 production of neutrophils enhances antibacteria ability but promotes arthritis development during Mycobacterium tuberculosis infection. EBioMedicine 2017;23:88-99.  Back to cited text no. 36


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