Interdisciplinary Perspectives on Infectious Diseases

Interdisciplinary Perspectives on Infectious Diseases / 2016 / Article

Research Article | Open Access

Volume 2016 |Article ID 9415364 |

Nathan Shaviya, Valentine Budambula, Mark K. Webale, Tom Were, "Circulating Interferon-Gamma Levels Are Associated with Low Body Weight in Newly Diagnosed Kenyan Non-Substance Using Tuberculosis Individuals", Interdisciplinary Perspectives on Infectious Diseases, vol. 2016, Article ID 9415364, 9 pages, 2016.

Circulating Interferon-Gamma Levels Are Associated with Low Body Weight in Newly Diagnosed Kenyan Non-Substance Using Tuberculosis Individuals

Academic Editor: Thomas Nyirenda
Received13 Aug 2015
Revised03 Dec 2015
Accepted08 Dec 2015
Published05 Jan 2016


Although interferon-gamma, interleukin-10, and adiponectin are key immunopathogenesis mediators of tuberculosis, their association with clinical manifestations of early stage disease is inconclusive. We determined interferon-gamma, interleukin-10, and adiponectin levels in clinically and phenotypically well-characterised non-substance using new pulmonary tuberculosis patients () and controls () from Kenya. Interferon-gamma levels () and interferon-gamma to interleukin-10 () and interferon-gamma to adiponectin () ratios were elevated in tuberculosis cases. Correlation analyses in tuberculosis cases showed associations of interferon-gamma levels with body weight (; ), body mass index (; ), hip girth (; ), and plateletcrit (; ); interferon-gamma to interleukin-10 ratio with diastolic pressure (; ); and interferon-gamma to adiponectin ratio with body weight (; ), body mass index (; ), and plateletcrit (; ). Taken together, our results suggest mild-inflammation in early stage infection characterised by upregulation of circulating interferon-gamma production in newly infected TB patients.

1. Introduction

Tuberculosis (TB) due to Mycobacterium tuberculosis is an important cause of infectious disease burden in the world. An estimated 9.0 million cases, 5.7 million new cases, and 1.5 million deaths were attributable to TB in 2013 [1]. A vast majority of new TB cases occur in developing countries particularly among individuals living in crowded and informal settlements and those with underlying conditions such as HIV, diabetes, malnutrition, smoking, and alcohol abuse [2]. Sub-Saharan Africa accounts for the highest burden of TB comprising 2.8 million cases including 2.3 million new cases and 230,000 deaths [1]. Kenya is among the high TB burdened countries with annual incidence of 110,000 cases, 90,000 new infections, and over 4,000 deaths [1].

While molecular mechanisms underlying TB-related burden are poorly understood, host inflammatory responses mediate pathogenesis of the disease [3]. Previous studies showed elevated plasma IFN-γ with lower IL-10 levels in first-time TB smear positive patients [4]. In contrast, increased plasma IL-10 levels in the presence of lower concentrations of IFN-γ were detected in chronic TB patients [5]. In addition, previous studies showed a higher IFN-γ to IL-10 ratio in treatment-naive newly infected TB patients [6, 7], suggesting that M. tuberculosis infections are characterised by an early burst in the proinflammatory cytokine response followed by an increased anti-inflammatory cytokine response in the chronic phases of disease.

The inflammatory cytokine response is linked to development of clinical manifestations of TB. For instance, higher levels of IFN-γ and IL-10 are associated with lower body weight and wasting in newly infected TB patients [8, 9]. Whilst a higher IFN-γ to IL-10 ratio is associated with protection and TB cure [10], a lower IFN-γ to IL-10 ratio is linked to TB relapse [6, 11]. Furthermore, increased plasma adiponectin levels are associated with severe TB characterised by extensive pulmonary lesions [12]. Although adiponectin promotes IL-10 release and impairs IFN-γ secretion in human macrophages [13], the magnitude of IFN-γ and IL-10 to adiponectin production as an indicator of inflammatory response and clinical manifestations in TB is largely unknown.

Increasing evidence indicate that host response to TB is likely to be compounded by underlying patient factors including malnutrition, coinfections, and alcohol and substance consumption. For example, plasma levels of IFN-γ increase in acute HIV infection [14] and decrease in chronic HIV infection [15], suggesting that stage of HIV infection determines inflammatory cytokine responses. In addition, circulating adiponectin levels are decreased as IFN-γ and IL-10 levels are elevated in individuals with malnutrition and obesity [1619], indicating that malnutrition promotes alterations in inflammatory cytokine production. Substance use also influences adiponectin, IL-10, and IFN-γ production. For instance, marijuana components induce IFN-γ and suppress IL-10 production [20, 21] while alcohol increases IFN-γ and IL-10 levels [22]. In addition, reduced IFN-γ and IL-10 levels were found in opiate addicts [23] while low levels of adiponectin were reported in cocaine, opiate, cigarette, and alcohol users [2427]. Taken together, underlying disease conditions and substance consumption are key factors promoting increased dysregulation in the inflammatory response in TB [28, 29]. To our knowledge, however, no study has examined cytokine levels and their clinical correlates in phenotypically and clinically well-characterised newly infected pulmonary TB patients. As such, the present study determined circulating IFN-γ, IL-10, and adiponectin levels and their association with clinical manifestations of early stage disease in non-substance using newly diagnosed pulmonary TB cases.

2. Materials and Methods

2.1. Study Design and Participants

This cross-sectional study was conducted among consenting new pulmonary TB patients and controls at Bomu Hospital, a social enterprise facility in Mombasa, a coastal city in Kenya. Substance and drug using individuals [30] and those presenting with underlying conditions such as HIV and diabetes including retreatment TB cases were excluded from the study. Newly diagnosed pulmonary TB patients were defined as individuals with a first case of TB positive sputum smear while controls comprised individuals with TB negative sputum smears and presenting with no evidence of illness. A total of 13 newly diagnosed pulmonary TB cases and 14 controls were recruited in this study. The sample size was calculated based on the formula of [31] and plasma IFN-γ concentrations previously determined in TB patients and controls [32]. Chest X-rays were taken on all study participants on the day of TB diagnosis and independently interpreted by two radiologists.

2.2. Physical Measurements

Anthropometric measures of the study participants were obtained by trained clinicians. Body weight was measured to the nearest 0.1 kg in light clothes, and height was measured to the nearest 1.0 cm in an upright posture. Waist circumference (WC) was assessed to the nearest 0.1 cm at smallest diameter between the iliac crest and lower rib. Hip circumference (HC) was measured to the nearest 0.1 cm around the maximum circumference of the buttocks. Middle upper arm circumference (MUAC) was measured midway to nearest 0.1 cm amid the tip of acromion and olecranon process. Body mass index (BMI, kg/m2) was calculated as weight (kg)/height (m) while waist-to-hip ratio was calculated as WC (cm)/HC (cm).

2.3. Vital Signs

Axillary temperature was obtained using a digital thermometer. Systolic and diastolic blood pressures were measured to the nearest 2 mmHg after a 10-minute rest in a sitting position using a digital blood pressure machine. Pulse rate was determined after a 10-minute rest in the sitting position using fingertip heart rate monitor.

2.4. Laboratory Diagnosis of TB

Sputum was obtained at enrolment and subsequently the following morning from all consenting individuals and used for smear preparation and acid-fast (Ziehl-Neelsen) staining. Smears were examined for presence of M. tuberculosis and bacilli were enumerated and scored according to the global guidelines for laboratory diagnosis of TB [33].

2.5. Haematological Enumerations

About 3.0 mL venous blood was collected from the study participants in ethylenediaminetetraacetic acid Vacutainer tubes (Becton Dickinson, Franklin Lakes, USA). Complete blood count was performed using BC-3200 Mindray autohaematology analyser (Mindray Inc., Mahwah, USA). The system was calibrated every morning before sample analysis, and hematologic analyses were performed within 10 minutes of blood collection.

2.6. Plasma Preparation

Plasma samples were prepared by centrifugation using bench-model centrifuge (Forma Scientific, Inc., Ohio, USA). Briefly, blood was centrifuged for 10 minutes at 1500 ×g, aliquoted into labelled cryovials, and frozen at −80°C until use for cytokine measurements.

2.7. Cytokine Measurements

Circulating levels of IFN-γ, IL-10, and adiponectin were determined in plasma samples using a sandwich enzyme linked immunosorbent assay (ELISA) according to the manufacturer’s protocols (R&D Systems, Inc., Minneapolis, USA).

2.8. Statistical Analysis

Data analysis was conducted using GraphPad Prism v5 (GraphPad Inc., California, USA). Comparisons in age, anthropometric and hematologic measures, and cytokine levels between cases and controls were performed using Mann-Whitney test. Fisher’s exact test was used for comparing gender distribution between the study groups. Spearman’s rank correlation test was used to examine associations of cytokine levels and cytokine ratios with anthropometric and clinical measures in the TB cases.

2.9. Ethical Considerations

This study was approved by Kenyatta University Ethical Review Committee and was conducted according to Helsinki’s declarations. Written informed consent was obtained from all study participants prior to enrolment into the study. TB cases were treated according to Kenya national guidelines for TB treatment that is consisted of isoniazid [34].

3. Results

3.1. Baseline Characteristics of the Study Participants

Baseline demographic and clinical information of the study participants are shown in Table 1. Age () and gender distribution () were similar between the study groups. Anthropometric assessment showed significantly lower body weight (), body mass index (), hip circumference (), and middle upper arm circumference () in cases relative to controls. However, height (), waist girth (), and waist-to-hip ratio () were similar between the study groups. Among the presenting clinical manifestations, axillary body temperature () was significantly elevated with lower systolic () and diastolic () pressures in the cases. However, pulse rate () was similar between the two groups. Chest examination indicated that 77.0% of the TB cases had congestion (30.8%) or crepitation (46.2%). Hematologic analyses showed similar levels of total leucocyte (), neutrophil (), lymphocyte (), monocyte (), eosinophil (), and platelet () counts. Interestingly, TB cases presented with lower haemoglobin (), mean platelet volume (), and plateletcrit ().

CharacteristicControls, TB cases, values

Age, yrs.26.1 (9.4)33.0 (9.9)0.126
Females, (%)6 (42.9)4 (30.8)0.695
Height, m1.7 (0.2)1.7 (0.1)0.145
Weight, kg65.5 (15.5)56.0 (7.0)0.028
Body mass index, kg/m223.1 (6.6)18.7 (3.5)0.024
Waist circumference, cm86.3 (13.8)82.0 (13.5)0.120
Hip circumference, cm100.5 (9.8)87.0 (21.0)0.032
Waist-to-hip ratio0.9 (0.1)0.9 (0.1)0.846
MUAC, cm28.0 (6.5)22.0 (5.5)<0.0001
Axillary temperature, °C36.0 (0.3)36.6 (2.1)0.006
Systolic pressure, mmHg125.0 (10.0)110.0 (20.0)0.004
Diastolic pressure, mmHg80.0 (13.0)70.0 (10.0)0.002
Pulse rate, bpm82.0 (5.5)80.0 (2.0)0.744
Chest X-ray, (%)
 Congested 0 (0.0)4 (30.8)
 Crepitation0 (0.0)6 (46.2)
 Normal14 (100.0)3 (23.1)
Leucocytes × 103/μL6.4 (4.0)4.3 (2.0)0.120
Neutrophils × 103/μL2.1 (3.1)2.2 (1.6)0.627
Lymphocytes × 103/μL1.6 (0.8)1.5 (0.7)0.980
Monocytes × 103/μL0.3 (1.0)0.2 (0.2)0.209
Eosinophils × 103/μL0.2 (0.2)0.1 (0.1)0.112
Haemoglobin, g/dL14.3 (1.4)12.5 (1.9)0.032
Platelets × 109/μL336 (116)358 (255)0.961
Mean platelet volume, fL0.2 (0.0)0.1 (0.1)0.001
Plateletcrit, %5.8 (2.1)5.0 (1.3)0.025

Data are presented as medians (IQR, interquartile range) or as indicated. Statistical analysis was performed using Mann-Whitney test for continuous measures and Fisher’s exact test for gender distribution. TB, tuberculosis. MUAC, middle upper arm circumference. Values in bold are significant values.

3.2. Plasma Cytokine Levels

Plasma levels of IFN-γ were significantly elevated in TB cases (median, 67.2 pg/mL; IQR, 2.5 pg/mL) compared to controls (median, 34.7 pg/mL; IQR, 30.5 pg/mL; ; Figure 1(a)). Plasma IL-10 (median, 77.2 pg/mL; IQR, 6.4 pg/mL versus 70.0 pg/mL; IQR, 20.8; ; Figure 1(b)) and adiponectin (median, 21.9 ng/mL; IQR, 10.4 ng/mL versus 22.4 pg/mL; IQR, 13.9 pg/mL; ; Figure 1(c)) levels were, however, similar between cases and controls. In addition, ratios of IFN-γ to IL-10 (median, 0.9; IQR, 0.1; versus median, 0.5; IQR, 0.3; Figure 2(a)) and IFN-γ to adiponectin (median, ; IQR, versus median, ; IQR, 2.0 × 10−3; ; Figure 2(b)) were significantly higher in cases relative to controls. IL-10 to adiponectin ratio was similar in cases (median, ; IQR, ) and controls (median, ; IQR, ; ; Figure 2(c)).

3.3. Associations of Cytokines with Physical and Clinical Measures

Associations of cytokines with physical and clinical measures are shown in Table 2. Plasma IFN-γ levels inversely correlated with body weight (; ), BMI (; ), and hip circumference (; ) and positively correlated with plateletcrit (; ). In addition, IFN-γ to IL-10 ratio inversely correlated with diastolic pressure (; ) while IFN-γ to adiponectin ratio inversely correlated with weight (; ) and BMI (; ) and positively correlated with plateletcrit (; ).

CharacteristicIFN- IFN- to IL-10 ratio IFN- to Acrp30 ratio

Body weight, kg−0.849<0.0001−0.1260.683−0.5600.047
Body mass index, kg/m2−0.6640.0130.1260.683−0.6040.029
Hip circumference, cm−0.5790.038−0.1320.667−0.3340.264
MUAC, cm−0.0060.9850.0460.8810.0460.882
Axillary temperature, °C0.4940.0860.0110.9710.5250.066
Systolic pressure, mmHg−0.3730.209−0.3690.215−0.1890.537
Diastolic pressure, mmHg0.3220.283−0.7290.0050.3440.249
Haemoglobin, g/dL−0.2150.481−0.4000.1760.1330.665
Mean platelet volume, fL−0.3600.227−0.1340.662−0.4920.088
Plateletcrit, %0.6050.0280.0560.8570.7930.001

Data presented are correlation coefficient (rho, ) with associated values. Statistical analysis was performed using Spearman’s rank correlation test. IFN-, interferon-gamma. IL-10, interleukin-10. Acrp30, adiponectin. MUAC, middle upper arm circumference. Values in bold indicate significant values.

4. Discussion

Mycobacterium tuberculosis infections evolve through an early stage and subsequently a chronic course of disease. Proinflammatory cytokines such as IFN-γ are upregulated in the early phase followed by counteractive increase in anti-inflammatory cytokines such as IL-10 and adiponectin in the chronic phase of disease [3]. Since the magnitude and timing of the cytokine response in TB are influenced by underlying host factors [28, 29], to our knowledge, this is the first study to examine circulating IFN-γ, IL-10, and adiponectin levels and their relationship with clinical manifestations of early phase infection in a cohort of non-substance using newly TB infected patients.

The elevated circulating IFN-γ levels in the TB cases suggest upregulation in the proinflammatory response. These results are consistent with previous studies showing elevated plasma levels of IFN-γ in newly infected TB patients [3537]. The fact that IFN-γ levels are upregulated in the newly infected TB cases indicates innate protective response during early phase of M. tuberculosis infection. This hypothesis is supported by previous studies showing correlation of IFN-γ production and hastened recovery from TB [37] while IFN-γ receptor deficiency is associated with increased susceptibility and development of severe disease in M. tuberculosis infection [38, 39]. Although the mechanisms underlying increased IFN-γ production were not examined in the present study, uptake of M. tuberculosis bacilli triggers release of proinflammatory mediators and promotes antimycobacterial effects of alveolar macrophages and dendritic cells during early stage disease [40]. However, hyperactivation of macrophages and dendritic cells leads to overproduction of proinflammatory mediators that mediate development of clinical manifestations in early stage disease [3]. It is, therefore, possible that the upregulation of the proinflammatory response in early phase of M. tuberculosis infection is capable of controlling TB infection.

Consistent with elevated IFN-γ levels, higher IFN-γ to IL-10 and IFN-γ to adiponectin ratios were observed in the TB cases. These findings are, in part, consistent with previous studies showing higher IFN-γ to IL-10 ratio among antitubercular drug sensitive mycobacteria infected patients and newly diagnosed HIV and TB coinfected individuals [7, 11]. Since host immune responses are dependent on the bacterial load [41], we theorize that the higher ratios of IFN-γ to IL-10 and IFN-γ to adiponectin mirror upregulation of proinflammatory cytokine response in early stage mycobacterial infection. This proposition is supported by previous studies reporting that higher IFN-γ to IL-10 ratio is associated with hyperinflammation leading to disease severity in newly diagnosed HIV and TB coinfected patients [7, 10]. In addition, adiponectin inhibits bacterial lipopolysaccharide-induced production of proinflammatory cytokines suppressing macrophage mycobactericidal effects [42]. Therefore, it appears that IFN-γ to IL-10 and IFN-γ to adiponectin ratios are good correlates of inflammatory cytokine dysregulation during early stage TB in adults.

The indirect link of IFN-γ levels and body weight, body mass index, and hip girth in the TB cases may indicate that IFN-γ promotes weight loss in newly infected TB patients. These findings corroborate previous studies showing higher levels of IFN-γ in TB cases presenting with lower body weight [8]. Although the mechanisms underlying association between IFN-γ levels and nutrition status were not examined in the present study, it is possible that IFN-γ contributes to weight loss in newly infected TB patients. For instance, increased IFN-γ levels induces anorexia and upregulates IL-12 promoting weight loss through epithelial cell damage [43, 44]. In addition, malnutrition, a risk factor for TB, is prevalent in Kenya and is associated with higher risk of presenting with TB at hospital [45] and increased production of proinflammatory cytokines including IFN-γ in TB patients [8, 19]. Furthermore, the inverse link of IFN-γ to adiponectin ratio with body weight and body mass index supports a link between low fat store and underlying inflammation in pulmonary TB patients. These results are, in part, consistent with previous studies showing negative correlation between adiponectin levels and body mass index in asymptomatic TB patients [12]. Thus, higher IFN-γ relative to adiponectin production may be a useful surrogate indicator of weight loss in newly infected pulmonary TB patients.

The inverse correlation of IFN-γ to IL-10 ratio and diastolic pressure in TB patients suggests that the relative balance of the pro- and anti-inflammatory cytokines determines development of TB-associated cardiopathologies. A notable finding in our study supporting this hypothesis is the lower systolic and diastolic pressures and higher rates of chest congestion or crepitation in the TB cases. These results partly mirror previous studies showing lower systolic and diastolic blood pressures in TB patients presenting with heart failure [46]. The fact that reduced diastolic and systolic pressures correlate with TB-related cardiopathological manifestations is further supported by previous clinical studies showing that diastolic dysfunction and echocardiographic grading mirror TB severity [46]. In addition, most TB patients present with adrenal insufficiency that is linked to destruction of the adrenal gland leading to lower systolic and diastolic blood pressures [4749]. Therefore, our results suggest that IFN-γ to IL-10 ratio is a useful indicator of TB-associated cardio- and adrenopathologies.

The positive relationships of IFN-γ levels and IFN-γ to adiponectin ratio with plateletcrit reflect low-grade inflammation in new TB cases. In support of this interpretation, the plateletcrit and mean platelet volume were lower in the TB cases. Our findings are partly consistent with previous studies showing that lower plateletcrit correlates with mild TB [50], while increased plateletcrit is associated with thrombocytosis and acute phase reactants in severe TB patients [51]. Likewise, increased mean platelet volume parallels radiological extent of disease in active TB patients [52] as reduced haemoglobin correlates with C-reactive protein and erythrocyte sedimentation rate in newly diagnosed and active pulmonary TB patients [51, 53]. Therefore, underlying inflammation may be linked to alterations in the production of IFN-γ, adiponectin, plateletcrit, mean platelet volume, and haemoglobin in newly infected non-substance using TB patients.

It is important to emphasize the limitations of the present study. The findings of the present study must be taken with caution because of the small sample size and the cross-sectional design. Although a prospective design would be valuable in providing insights into the inflammatory response in newly infected TB patients, our cross-sectional study provides baseline information on the association between cytokine response and clinical manifestations of TB during early stage disease in Kenya. TB incubation period varies within patients [54]; therefore, it was not possible to determine the duration of infection in these patients. Even though mycobacterial-recall positive individuals produce higher levels of proinflammatory cytokines [55], elevated IFN-γ levels in the newly infected TB cases are largely due to activation of innate response to M. tuberculosis infection as BCG-vaccines induce long-term memory CD4+ and CD8+ T cell responses [56]. Consequently, analysing circulating IFN-γ levels in prospective cohort of newly infected TB patients will confirm the diagnostic value of higher (values above the median level) versus lower (values below the median level) IFN-γ production. Furthermore, flow cytometric and cellular analyses and in vitro stimulation of peripheral blood and alveolar lavage mononuclear cells from TB patients will identify key inflammatory mediators that are dysregulated and predict development of clinical manifestations of disease.

This study, therefore, provides evidence for the status and association of IFN-γ levels, IL-10, and adiponectin levels with clinical manifestations of TB in a well-characterised cohort of non-substance using newly infected TB patients. Our results suggest that IFN-γ levels and the ratios of IFN-γ to IL-10 and IFN-γ to adiponectin are elevated in non-substance using newly infected TB patients. Furthermore, IFN-γ levels and the ratios of IFN-γ to IL-10 and IFN-γ to adiponectin are associated with low body weight, body mass index, hip girth, diastolic pressure, and plateletcrit, respectively, suggesting mild-inflammation during early stage infection in non-substance using newly infected TB patients.

Conflict of Interests

No author has declared conflict of interests.

Authors’ Contribution

Tom Were and Valentine Budambula designed the study and conducted laboratory analyses. Tom Were and Nathan Shaviya performed data analyses and codrafted the paper. Mark K. Webale critically revised and approved the final version of the paper. All authors have read and approved the paper.


The authors thank the study participants, laboratory staff, and management of Bomu Hospital for their support during the study. This research was, in part, supported by National Commission for Science, Technology and Innovation (NCST/5/003/065).


  1. WHO, Global Tuberculosis Report 2014, World Health Organization, Geneva, Switzerland, 2014.
  2. P. Narasimhan, J. Wood, C. R. Macintyre, and D. Mathai, “Risk factors for tuberculosis,” Pulmonary Medicine, vol. 2013, Article ID 828939, 11 pages, 2013. View at: Publisher Site | Google Scholar
  3. S. J. Sasindran and J. B. Torrelles, “Mycobacterium tuberculosis infection and inflammation: what is beneficial for the host and for the bacterium?” Frontiers in Microbiology, vol. 2, article 2, 2011. View at: Publisher Site | Google Scholar
  4. J. F. Djoba Siawaya, N. Beyers, P. van Helden, and G. Walzl, “Differential cytokine secretion and early treatment response in patients with pulmonary tuberculosis,” Clinical and Experimental Immunology, vol. 156, no. 1, pp. 69–77, 2009. View at: Publisher Site | Google Scholar
  5. V. A. Boussiotis, E. Y. Tsai, E. J. Yunis et al., “IL-10-producing T cells suppress immune responses in anergic tuberculosis patients,” The Journal of Clinical Investigation, vol. 105, no. 9, pp. 1317–1325, 2000. View at: Publisher Site | Google Scholar
  6. A. Mihret, M. Abebe, Y. Bekele, A. Aseffa, G. Walzl, and R. Howe, “Impact of HIV co-infection on plasma level of cytokines and chemokines of pulmonary tuberculosis patients,” BMC Infectious Diseases, vol. 14, article 125, 2014. View at: Publisher Site | Google Scholar
  7. R. Benjamin, A. Banerjee, S. R. Sunder, S. Gaddam, V. L. Valluri, and S. Banerjee, “Discordance in CD4+T-cell levels and viral loads with co-occurrence of elevated peripheral TNF-α and IL-4 in newly diagnosed HIV-TB co-infected cases,” PLoS ONE, vol. 8, no. 8, Article ID e70250, 2013. View at: Publisher Site | Google Scholar
  8. T. C. Y. Tsao, C.-C. Huang, W.-K. Chiou, P.-Y. Yang, M.-J. Hsieh, and K.-C. Tsao, “Levels of interferon-γ and interleukin-2 receptor-α for bronchoalveolar lavage fluid and serum were correlated with clinical grade and treatment of pulmonary tuberculosis,” International Journal of Tuberculosis and Lung Disease, vol. 6, no. 8, pp. 720–727, 2002. View at: Google Scholar
  9. C. B. Pereira, M. Palaci, O. H. M. Leite, A. J. S. Duarte, and G. Benard, “Monocyte cytokine secretion in patients with pulmonary tuberculosis differs from that of healthy infected subjects and correlates with clinical manifestations,” Microbes and Infection, vol. 6, no. 1, pp. 25–33, 2004. View at: Publisher Site | Google Scholar
  10. B. Jamil, F. Shahid, Z. Hasan et al., “Interferon γ/IL10 ratio defines the disease severity in pulmonary and extra pulmonary tuberculosis,” Tuberculosis, vol. 87, no. 4, pp. 279–287, 2007. View at: Publisher Site | Google Scholar
  11. K. H. Skolimowska, M. X. Rangaka, G. Meintjes et al., “Altered ratio of IFN-γ/IL-10 in patients with drug resistant Mycobacterium tuberculosis and HIV-tuberculosis immune reconstitution inflammatory syndrome,” PLoS ONE, vol. 7, no. 10, Article ID e46481, 2012. View at: Publisher Site | Google Scholar
  12. N. Keicho, I. Matsushita, T. Tanaka et al., “Circulating levels of adiponectin, leptin, fetuin-A and retinol-binding protein in patients with tuberculosis: markers of metabolism and inflammation,” PLoS ONE, vol. 7, no. 6, Article ID e38703, 2012. View at: Publisher Site | Google Scholar
  13. A. M. Wolf, D. Wolf, H. Rumpold, B. Enrich, and H. Tilg, “Adiponectin induces the anti-inflammatory cytokines IL-10 and IL-1RA in human leukocytes,” Biochemical and Biophysical Research Communications, vol. 323, no. 2, pp. 630–635, 2004. View at: Publisher Site | Google Scholar
  14. A. R. Stacey, P. J. Norris, L. Qin et al., “Induction of a striking systemic cytokine cascade prior to peak viremia in acute human immunodeficiency virus type 1 infection, in contrast to more modest and delayed responses in acute hepatitis B and C virus infections,” Journal of Virology, vol. 83, no. 8, pp. 3719–3733, 2009. View at: Publisher Site | Google Scholar
  15. S. Zanussi, M. D'Andrea, C. Simonelli, U. Tireli, and P. De Paoli, “Serum levels of RANTES and MIP-1α in HIV-positive long-term survivors and progressor patients,” AIDS, vol. 10, no. 12, pp. 1431–1432, 1996. View at: Publisher Site | Google Scholar
  16. M. Ekramzadeh, Z. Sohrabi, M. Salehi et al., “Adiponectin as a novel indicator of malnutrition and inflammation in hemodialysis patients,” Iranian Journal of Kidney Diseases, vol. 7, no. 4, pp. 304–308, 2013. View at: Google Scholar
  17. M. Freemark, “Metabolomics in nutrition research: biomarkers predicting mortality in children with severe acute malnutrition,” Food and Nutrition Bulletin, vol. 36, no. 1, supplement 1, pp. S88–S92, 2015. View at: Publisher Site | Google Scholar
  18. R. Weiss, S. Dufour, A. Groszmann et al., “Low adiponectin levels in adolescent obesity: a marker of increased intramyocellular lipid accumulation,” Journal of Clinical Endocrinology and Metabolism, vol. 88, no. 5, pp. 2014–2018, 2003. View at: Publisher Site | Google Scholar
  19. P. Dewan, I. R. Kaur, M. M. A. Faridi, and K. N. Agarwal, “Cytokine response to dietary rehabilitation with curd (Indian dahi) & leaf protein concentrate in malnourished children,” Indian Journal of Medical Research, vol. 130, no. 1, pp. 31–36, 2009. View at: Google Scholar
  20. E. Kozela, A. Juknat, N. Kaushansky, N. Rimmerman, A. Ben-Nun, and Z. Vogel, “Cannabinoids decrease the Th17 inflammatory autoimmune phenotype,” Journal of Neuroimmune Pharmacology, vol. 8, no. 5, pp. 1265–1276, 2013. View at: Publisher Site | Google Scholar
  21. B. Watzl, P. Scuderi, and R. R. Watson, “Marijuana components stimulate human peripheral blood mononuclear cell secretion of interferon-gamma and suppress interleukin-1 alpha in vitro,” International Journal of Immunopharmacology, vol. 13, no. 8, pp. 1091–1097, 1991. View at: Publisher Site | Google Scholar
  22. S. K. Das, S. Varadhan, G. Gupta et al., “Time-dependent effects of ethanol on blood oxidative stress parameters and cytokines,” Indian Journal of Biochemistry and Biophysics, vol. 46, no. 1, pp. 116–121, 2009. View at: Google Scholar
  23. Y.-M. Kuang, Y.-C. Zhu, Y. Kuang, Y. Sun, C. Hua, and W.-Y. He, “Changes of the immune cells, cytokines and growth hormone in teenager drug addicts,” Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi, vol. 23, no. 9, pp. 821–823, 2007. View at: Google Scholar
  24. B. Shahouzehi, M. Shokoohi, and H. Najafipour, “The effect of opium addiction on serum adiponectin and leptin levels in male subjects: a case control study from kerman coronary artery disease risk factors study (KERCADRS),” EXCLI Journal, vol. 12, pp. 916–923, 2013. View at: Google Scholar
  25. M. L. Levandowski, T. W. Viola, S. G. Tractenberg et al., “Adipokines during early abstinence of crack cocaine in dependent women reporting childhood maltreatment,” Psychiatry Research, vol. 210, no. 2, pp. 536–540, 2013. View at: Publisher Site | Google Scholar
  26. J.-S. Tsai, F.-R. Guo, S.-C. Chen et al., “Smokers show reduced circulating adiponectin levels and adiponectin mRNA expression in peripheral blood mononuclear cells,” Atherosclerosis, vol. 218, no. 1, pp. 168–173, 2011. View at: Publisher Site | Google Scholar
  27. Y. Nishise, T. Saito, N. Makino et al., “Relationship between alcohol consumption and serum adiponectin levels: the Takahata study—a cross-sectional study of a healthy Japanese population,” The Journal of Clinical Endocrinology & Metabolism, vol. 95, no. 8, pp. 3828–3835, 2010. View at: Publisher Site | Google Scholar
  28. C. M. Mason, E. Dobard, P. Zhang, and S. Nelson, “Alcohol exacerbates murine pulmonary tuberculosis,” Infection and Immunity, vol. 72, no. 5, pp. 2556–2563, 2004. View at: Publisher Site | Google Scholar
  29. A. Pawlowski, M. Jansson, M. Sköld, M. E. Rottenberg, and G. Källenius, “Tuberculosis and HIV co-infection,” PLoS Pathogens, vol. 8, no. 2, Article ID e1002464, 2012. View at: Publisher Site | Google Scholar
  30. UNODC, “World drug report 2014,” Tech. Rep. E.14.XI.7, UNODC, 2014. View at: Google Scholar
  31. G. E. Dallal, The Little Handbook of Statistical Practice, Kindle Publishing, Boston, Mass, USA, 2012.
  32. F. Deveci, H. H. Akbulut, T. Turgut, and M. H. Muz, “Changes in serum cytokine levels in active tuberculosis with treatment,” Mediators of Inflammation, vol. 2005, no. 5, pp. 256–262, 2005. View at: Publisher Site | Google Scholar
  33. R. Lumb, A. Van Deun, I. Bastian, and M. Fitz-Gerald, Eds., The Handbook: Laboratory Diagnosis of Tuberculosis by Sputum Microscopy, SA Pathology, Adelaide, Australia, 2013.
  34. MOH, Guidelines for Management of Tuberculosis and Leprosy in Kenya, Ministry of Health, Nairobi, Kenya, 2013.
  35. S. Ashenafi, G. Aderaye, A. Bekele et al., “Progression of clinical tuberculosis is associated with a Th2 immune response signature in combination with elevated levels of SOCS3,” Clinical Immunology, vol. 151, no. 2, pp. 84–99, 2014. View at: Publisher Site | Google Scholar
  36. C. T. Fiske, A. S. de Almeida, A. K. Shintani, S. A. Kalams, and T. R. Sterling, “Abnormal immune responses in persons with previous extrapulmonary tuberculosis in an in vitro model that simulates in vivo infection with Mycobacterium tuberculosis,” Clinical and Vaccine Immunology, vol. 19, no. 8, pp. 1142–1149, 2012. View at: Publisher Site | Google Scholar
  37. E. Sahiratmadja, B. Alisjahbana, S. Buccheri et al., “Plasma granulysin levels and cellular interferon-γ production correlate with curative host responses in tuberculosis, while plasma interferon-γ levels correlate with tuberculosis disease activity in adults,” Tuberculosis, vol. 87, no. 4, pp. 312–321, 2007. View at: Publisher Site | Google Scholar
  38. M. J. Newport, C. M. Huxley, S. Huston et al., “A mutation in the interferon-γ-receptor gene and susceptibility to mycobacterial infection,” The New England Journal of Medicine, vol. 335, no. 26, pp. 1941–1949, 1996. View at: Publisher Site | Google Scholar
  39. T. H. M. Ottenhoff, F. A. W. Verreck, M. A. Hoeve, and E. van de Vosse, “Control of human host immunity to mycobacteria,” Tuberculosis, vol. 85, no. 1-2, pp. 53–64, 2005. View at: Publisher Site | Google Scholar
  40. Y. V. N. Cavalcanti, M. C. A. Brelaz, J. K. D. A. L. Neves, J. C. Ferraz, and V. R. A. Pereira, “Role of TNF-α, IFN-γ, and IL-10 in the development of pulmonary tuberculosis,” Pulmonary Medicine, vol. 2012, Article ID 745483, 10 pages, 2012. View at: Publisher Site | Google Scholar
  41. A. Handel, E. Margolis, and B. R. Levin, “Exploring the role of the immune response in preventing antibiotic resistance,” Journal of Theoretical Biology, vol. 256, no. 4, pp. 655–662, 2009. View at: Publisher Site | Google Scholar | MathSciNet
  42. T. Yokota, K. Oritani, I. Takahashi et al., “Adiponectin, a new member of the family of soluble defense collagens, negatively regulates the growth of myelomonocytic progenitors and the functions of macrophages,” Blood, vol. 96, no. 5, pp. 1723–1732, 2000. View at: Google Scholar
  43. D. Guy-Grand, J. P. DiSanto, P. Henchoz, M. Malassis-Séris, and P. Vassalli, “Small bowel enteropathy: role of intraepithelial lymphocytes and of cytokines (IL-12, IFN-γ, TNF) in the induction of epithelial cell death and renewal,” European Journal of Immunology, vol. 28, no. 2, pp. 730–744, 1998. View at: Publisher Site | Google Scholar
  44. E. H. Kaplan, S. T. Rosen, D. B. Norris, H. H. Roenigk Jr., S. R. Saks, and P. A. Bunn Jr., “Phase II study of recombinant human interferon gamma for treatment of cutaneous T-cell lymphoma,” Journal of the National Cancer Institute, vol. 82, no. 3, pp. 208–212, 1990. View at: Publisher Site | Google Scholar
  45. K. Gupta, R. Gupta, A. Atreja, M. Verma, and S. Vishvkarma, “Tuberculosis and nutrition,” Lung India, vol. 26, no. 1, pp. 9–16, 2009. View at: Publisher Site | Google Scholar
  46. H. Zheng, Y. Li, and N. Xie, “Association of serum total bilirubin levels with diastolic dysfunction in heart failure with preserved ejection fraction,” Biological Research, vol. 47, no. 1, article 7, 2014. View at: Publisher Site | Google Scholar
  47. F. Kelestimur, “The endocrinology of adrenal tuberculosis: the effects of tuberculosis on the hypothalamo-pituitary-adrenal axis and adrenocortical function,” Journal of Endocrinological Investigation, vol. 27, no. 4, pp. 380–386, 2004. View at: Publisher Site | Google Scholar
  48. Y.-X. Wang, C.-R. Chen, G.-X. He, and A.-R. Tang, “CT findings of adrenal glands in patients with tuberculous Addison's disease,” Journal Belge de Radiologie, vol. 81, no. 5, pp. 226–228, 1998. View at: Google Scholar
  49. F. Mugusi, A. B. M. Swai, S. J. Turner, K. G. M. M. Alberti, and D. G. McLarty, “Hypoadrenalism in patients with pulmonary tuberculosis in Tanzania: an undiagnosed complication?” Transactions of the Royal Society of Tropical Medicine and Hygiene, vol. 84, no. 6, pp. 849–851, 1990. View at: Publisher Site | Google Scholar
  50. S. Fatimah and J. Soemarsono, “Changes in platelet count, mean platelet volume, platelet distribution width, and plateletcrit in pulmonary tuberculosis severity,” Folia Medica Indonesiana, vol. 50, no. 1, pp. 34–36, 2014. View at: Google Scholar
  51. F. Şahin, E. Yazar, and P. Yildiz, “Prominent features of platelet count, plateletcrit, mean platelet volume and platelet distribution width in pulmonary tuberculosis,” Multidisciplinary Respiratory Medicine, vol. 7, no. 5, article 38, 2012. View at: Publisher Site | Google Scholar
  52. E. Tozkoparan, O. Deniz, E. Ucar, H. Bilgic, and K. Ekiz, “Changes in platelet count and indices in pulmonary tuberculosis,” Clinical Chemistry and Laboratory Medicine, vol. 45, no. 8, pp. 1009–1013, 2007. View at: Publisher Site | Google Scholar
  53. F. Sahin and P. Yildiz, “Distinctive biochemical changes in pulmonary tuberculosis and pneumonia,” Archives of Medical Science, vol. 9, no. 4, pp. 656–661, 2013. View at: Publisher Site | Google Scholar
  54. I. G. Sia and M. L. Wieland, “Current concepts in the management of tuberculosis,” Mayo Clinic Proceedings, vol. 86, no. 4, pp. 348–361, 2011. View at: Publisher Site | Google Scholar
  55. M. Pai, R. Joshi, S. Dogra et al., “Persistently elevated T cell interferon-γ responses after treatment for latent tuberculosis infection among health care workers in India: a preliminary report,” Journal of Occupational Medicine and Toxicology, vol. 1, no. 1, article 7, 2006. View at: Publisher Site | Google Scholar
  56. A. Kipnis, S. Irwin, A. A. Izzo, R. J. Basaraba, and I. M. Orme, “Memory T lymphocytes generated by Mycobacterium bovis BCG vaccination reside within a CD4 CD44Io CD62 Ligandhi population,” Infection and Immunity, vol. 73, no. 11, pp. 7759–7764, 2005. View at: Publisher Site | Google Scholar

Copyright © 2016 Nathan Shaviya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

More related articles

 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles