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Tuberculosis associated with Mycobacterium tuberculosisBeijing and non-Beijing genotypes: a clinical and immunological comparison

  • Yong-Jiang Sun1Email author,
  • TK Lim2,
  • Adrian Kheng Yeow Ong1,
  • Benjamin Choon Heng Ho3,
  • Geok Teng Seah4 and
  • Nicholas I Paton1
BMC Infectious Diseases20066:105

DOI: 10.1186/1471-2334-6-105

Received: 03 May 2006

Accepted: 05 July 2006

Published: 05 July 2006

Abstract

Background

The Mycobacterium tuberculosis Beijing genotype is biologically different from other genotypes. We aimed to clinically and immunologically compare human tuberculosis caused by Beijing and non-Beijing strains.

Methods

Pulmonary tuberculosis patients were prospectively enrolled and grouped by their M. tuberculosis genotypes. The clinical features, plasma cytokine levels, and cytokine gene expression levels in peripheral blood mononuclear cells (PBMC) were compared between the patients in Beijing and non-Beijing groups.

Results

Patients in the Beijing group were characterized by significantly lower frequency of fever (odds ratio, 0.12, p = 0.008) and pulmonary cavitation (odds ratio, 0.2, p = 0.049). Night sweats were also significantly less frequent by univariate analysis, and the duration of cough prior to diagnosis was longer in Beijing compared to non-Beijing groups (medians, 60 versus 30 days, p = 0.048). The plasma and gene expression levels of interferon (IFN) γ and interleukin (IL)-18 were similar in the two groups. However, patients in the non-Beijing group had significantly increased IL-4 gene expression (p = 0.018) and lower IFN-γ : IL-4 cDNA copy number ratios (p = 0.01).

Conclusion

Patients with tuberculosis caused by Beijing strains appear to be less symptomatic than those who have disease caused by other strains. Th1 immune responses are similar in patients infected with Beijing and non-Beijing strains, but non-Beijing strains activate more Th2 immune responses compared with Beijing strains, as evidenced by increased IL-4 expression.

Background

The Mycobacterium tuberculosis Beijing genotype was first described in 1995 because of its predominance in the Beijing area of China, the high similarity of IS6110 RFLP patterns, and the identical polymorphism pattern of the direct repeat region of M. tuberculosis genome between isolates [1]. Thereafter, it has been shown that strains of this genotype are also predominant in other East Asian areas [24] and prevalent all over the world [5, 6]. The selective advantage of the Beijing genotype has led to the postulation that it may be an 'escape variant' of mass bacillus Calmette-Guérin (BCG) vaccination [1]. In addition, Beijing strains have been reported to be associated with various phenotypes, such as drug-resistance [2, 710], treatment failure and tuberculosis relapse [11], and febrile response to treatment [12]. Studies in mice have shown that Beijing strains are more virulent and do not favor Th1 immune response [13, 14].

These findings suggest that the Beijing genotype strains behave differently from non-Beijing genotype strains. However, there has been no study performed to compare the immune responses in patients infected by Beijing and non-Beijing strains. In this prospective study, we aimed to determine whether there are clinical and biological differences in the host response to infections caused by Beijing and non-Beijing strains. In particular we hypothesized that Beijing strains elicit a weaker Th1 immune response, as shown by a reduced production of plasma IFN-γ.

Methods

Subjects and setting

Inpatients with pulmonary tuberculosis were prospectively and consecutively enrolled from Tan Tock Seng Hospital (TTSH), and National University Hospital (NUH) from September 2004 to May 2005. Subject inclusion criteria were: (1) clinical presentation and radiographic findings considered to be strongly suggestive of pulmonary tuberculosis by the primary physicians, (2) ≥ 18 years old, (3) antituberculous treatment naïve or not longer than 48 hours, (4) able and willing to give informed consent. Patients who had a past history of tuberculosis, who were known to have human immunodeficiency virus (HIV) infection or other coexisting systemic diseases, such as chronic renal failure, diabetes mellitus, and neoplastic diseases, and pregnant or breastfeeding women were excluded. Approval for this study was granted by the Ethics Committee of the National Healthcare Group (NHG), Singapore. Written informed consent was obtained from all study subjects.

Demographic and clinical data collection

Demographic (date of birth, place of birth, sex, and race), clinical, and routine laboratory testing data were collected by interview of patients and/or from medical records. The data of BCG scar, BCG vaccination history, TB contact history, and risk factors for HIV infection were collected by interview of the subjects. The information on clinical symptoms and their durations, including cough, fever, night sweats, haemoptysis, weight loss, appetite loss, and chest pain, were first collected from medical records and confirmed through patient interviews. Routine temperature charts were examined covering the time of admission until the time of enrolment. Axillary temperature was recorded every 6 hours using a digital thermometer in both hospitals. The patient was defined having fever if there was a recorded temperature of > 37.5°C. Routine laboratory test data including total and differential white blood cell counts, hemoglobin, sputum smear, culture and drug-susceptibility test results were collected. Anemia was defined when hemoglobin < 13 g/dL in males and < 11.8 g/dL in females. All patients were screened for risk factors of HIV infection and offered HIV serology testing.

Chest X-ray (CXR) films were reviewed at each institution by a single clinician (TKL and AKYO) experienced in the diagnosis and management of tuberculosis who were blinded to M. tuberculosis genotyping results. The disease extent on CXR was classified as: (1) unilateral disease, (2) bilateral disease, (3) cavitary disease, (4) pleural effusion, and (5) miliary disease.

DNA extraction and genotyping of M. tuberculosis

Sputum specimens were collected from each subject at enrolment. Sputum samples were first decontaminated and liquefied with 1% N-Acetyl-L-Cysteine (NALC)-2% NaOH. DNA was extracted using phenol-chloroform/isoamyl alcohol, precipitated with absolute ethanol and washed with 70% ethanol according to standard protocol. DNA was finally dissolved in 50 μl distilled water.

Spoligotyping was performed using a commercial kit (Isogen Bioscience BV, Maarssen, the Netherlands) according to the manufacturer's protocol. Spoligotyping patterns were translated to 15 octal codes as suggested before [15]. Mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) typing was performed as previously described [16, 17]. Two μl of sputum DNA sample was used in each PCR reaction for these genotyping analyses. MIRU-VNTR allele number was manually converted according to amplicon size.

Isolation of plasma and PBMC

Blood samples collected in heparinized tubes were centrifuged at 300 × g for 10 minutes to separate plasma and blood cells. Plasma was recovered and further centrifuged at 14,000 rpm for 15 minutes at 4°C, and then recovered in 0.5 ml aliquots and stored in -80°C freezer. The precipitated blood cells were resuspended in appropriate volume of RPMI 1640 Media and subjected to PBMC isolation by Ficoll-Paque gradient centrifugation.

Cytokine ELISA

Blood plasma levels of IFN-γ, IL-2, IL-4, IL-13, and IL-18 were measured using quantitative ELISA kits (Bender MedSystems, Austria) according to the manufacturer's protocols and each sample was assayed in duplicate. The sensitivity of these kits were 0.66 pg/ml, 2.3 pg/ml, 0.66 pg/ml, 0.99 pg/ml, 9.2 pg/ml, respectively. A high sensitivity (0.06 pg/ml) IFN-γ kit was used to measure some samples with very low level of IFN-γ.

Quantification of cDNA by Real-Time PCR

Total RNA was extracted from 2 × 106 peripheral blood mononuclear cells (PBMCs) using TRIZOL® reagent (Invitrogen, California, USA) according to the manufacturer's protocol. cDNA was reverse transcribed from total RNA using the 1st Strand cDNA Synthesis Kit for RT-PCR (AMV) (Roche Applied Science). The cDNA of reverse transcribed cytokine genes IFN-γ, IL-2, IL-4, IL-13, and IL-18, and housekeeping gene β-actin were quantified by quantitative real-time PCR using the LightCycler™ FastStart Master Sybr®Green I kit on the Roche LightCycler apparatus (Roche Applied Science). The quantitative real-time PCR primers and standards for these genes were obtained from Search-LC GmbH (Heidelberg, Germany) and the manufacturer's protocols were followed. Melting curve analysis was performed to confirm the identity and specificity of PCR products. All cytokine cDNA copies were normalized to the housekeeping gene β-actin.

Statistical analysis

χ2 test or Fisher's exact test was used to analyze categorical variables. Student's t test was used to compare normally distributed continuous variables and those variables which were normally distributed after log-transformation. Multivariate logistic regression was used to adjust for potential confounding factors. A p value of <0.05 was considered statistically significant. Odds ratios (OR) and 95% confidence intervals (CI) were calculated.

Results

Patient enrolment and determination of M. tuberculosisgenotypes

A total of 54 patients were enrolled in this study (35 from TTSH and 19 from NUH). One of the 54 patients was found to be HIV-infected, thus was excluded from further analysis. Of the remaining patients, 16 tested negative for HIV antibodies. Those who were not tested did not have any apparent risk factors for HIV infection nor any evidence of immune suppression noted on physical examination. Two further patients were excluded because they were unable to provide a sputum specimen for genotyping. Nine patients were excluded because they were culture negative, sputum smear negative for acid-fast bacilli and did not have M. tuberculosis detected by either spoligotyping or MIRU-VNTR typing.

Forty-two patients had culture-proven, drug-susceptible (to rifampicin, streptomycin, isoniazid, and ethambutol) pulmonary tuberculosis. Of these 42, 38 (90.5%) were smear positive. M. tuberculosis DNA was detected in the sputum sample and successfully typed by MIRU-VNTR typing in 41 cases, and by spoligotyping in 39 cases. All the cases of failure of genotyping were also smear negative. The single case that could not be typed by either method was excluded from further analysis. Therefore, the study analysis concerns 41 culture-proven tuberculosis patients with genotyping data.

Twenty-one (51.2%, 21/41) patients were infected with Beijing strains (Table 1). Of these, 19 isolates had the typical Beijing spoligotype which is absent of spacers 1–34 but contains spacers 35–43 [18, 19]. One isolate (N04) showed Beijing-like spoligotype which has been demonstrated also belonging to the Beijing lineage [19]. The remaining one isolate (N07) was not detected by spoligotyping, but MIRU-VNTR typing showed that it had a typical cluster MIRU-VNTR pattern (223325173533) specific for Beijing strains. Based on spoligotypes and/or MIRU-VNTR patterns, the remaining 20 isolates were assigned to non-Beijing genotypes: the Haarlem family (6 isolates, 14.6%), the Latin American and Mediterranean (LAM) family (1 isolate, 2.4%), the T family (4 isolates, 9.8%), and the East Africa Indian (EAI) family (9 isolates, 22%).
Table 1

Genotyping result of M. tuberculosis isolates

Isolates

MIRU-VNTR

Spoligotypes

Genotypes

N07

223325173533

ND

Beijing

N08

223325173533

000000000003771

Beijing

T21

223325173533

000000000003771

Beijing

T32

223325173533

000000000003771

Beijing

T38

223325173533

000000000003771

Beijing

T41

223325173533

000000000003771

Beijing

T44

223325173533

000000000003771

Beijing

T45

223325173533

000000000003771

Beijing

T47

223325173533

000000000003771

Beijing

T49

223325173533

000000000003771

Beijing

T55

223325173533

000000000003771

Beijing

N14

223325173333

000000000003771

Beijing

T51

223325173433

000000000003771

Beijing

T18

223325193533

000000000003771

Beijing

N05

223325153513

000000000003771

Beijing

T53

223325163534

000000000003771

Beijing

N13

222325173543

000000000003771

Beijing

T11

222325173543

000000000003771

Beijing

T33

223325171531

000000000003771

Beijing

T52

233225173443

000000000003771

Beijing

N04

222325173543

000000000000771

Beijing

T34a

2223251735n3

400000001000200

Haarlem

T03

222325143323

557367770000661

Haarlem

N26

222325153323

777340770720771

Haarlem

T50

226325153323

477777774020771

Haarlem

T12

122325153423

776001370020771

Haarlem

T19

222425153324

777777777720771

Haarlem

N22

224326143327

777777606760771

LAM

T37

225125113322

777777776760600

T

T36

224226123323

777377236760771

T

N28

242325152312

777367770760621

T

T42

232325142322

767777777760771

T

T24

255326222513

577377777413771

EAI

T35

254326223432

677377477413771

EAI

T30

274326223432

677377477413771

EAI

T54

254326223432

677777477413771

EAI

N09

254225223522

477777477413771

EAI

T02

254326223434

477777777413071

EAI

T40

254326223432

000000007413771

EAI

T48

364225223533

777777000000011

EAI

N01

264326223432

ND

EAI

MIRU-VNTR patterns are based on the 12 loci as described in reference [16]. Spoligotypes are presented as 15 octal codes as recommended in reference [15]. ND, not detected.

an = 10.

Demographic and epidemiological characteristics

Table 2 presents the demographic and epidemiologic characteristics of the subjects segregated by M. tuberculosis Beijing and non-Beijing genotypes. The distributions of sex, ethnicity, and age did not differ significantly between the two groups. The frequency of past BCG vaccination and the proportion of smear positive cases were similar in the two groups. The median score for the positive smears was 3+ in each group. Four patients had known contact history with family members (2 in each group). The distributions of Beijing and non-Beijing isolates were similar at the two hospitals.
Table 2

Characteristics of patients by M. tuberculosis genotypes

Characteristics

Beijing n = 21 (%)

Non-Beijing n = 20 (%)

p Value

Male sex

14 (66.7)

10 (50.0)

0.297

Ethnicity

  

0.286

   Chinese

14 (66.7)

12 (60.0)

 

   Malay

7 (33.3)

6 (30.0)

 

   Indian

0 (0)

2 (10.0)

 

Age (year)

  

0.325

   ≤ 30

4 (19.0)

6 (30.0)

 

   31–59

12 (57.1)

11 (55.0)

 

   ≥ 60

5 (23.8)

3 (15.0)

 

BCG

  

0.303

   Yes

11 (52.4)

13 (65.0)

 

   No/unknown

10 (47.6)

7 (35.0)

 

Sputum Smear

  

0.486

   Positive

19 (90.5)

19 (95.0)

 

Median scores

3+

3+

 

Known contact history

2 (9.5)

2 (10.0)

0.959

Residentships

  

0.141

   Singapore residenta

17 (80.9)

12 (60.0)

 

   Foreigner

4 (19.1)

8 (40.0)

 

Hospitals

  

0.796

   TTSH

15 (71.4)

15 (75.0)

 

   NUH

6 (28.6)

5 (25.0)

 

NOTE. Beijing, Beijing genotype; non-Beijing, non-Beijing genotypes; BCG, bacillus Calmette-Guérin.

aCitizens and permanent residents.

Clinical and radiological features

As shown in Table 3, cough was the most common symptom for the pulmonary tuberculosis patients, 38 of the 41 (92.7%) patients had cough. The less frequent manifestations were fever (26/41, 63.4%), and weight loss (28/41 68.3%). The frequencies of haemoptysis, appetite loss, night sweats, and chest pain were even lower.
Table 3

Clinical and chest X-ray manifestations of patients by M. Tuberculosis genotypes

Parameters

Beijing n = 21 (%)

Non-Beijing n = 20 (%)

Univariate analysis

   

OR (95% CI)

p value

Clinical presentations

    

   Cough

18 (85.7)

20 (100)

0.00 (0.00–1.27)

0.125

Median duration (range)a

60 (14–1440)

30 (2–180)

 

0.048

   Fever

9 (42.9)

17 (85.0)

0.13 (0.03–0.57)

0.005

   Haemoptysis

4 (19.0)

6 (30.0)

0.55 (0.14–2.22)

0.414

   Weight loss

16 (76.2)

12 (60.0)

2.13 (0.58–7.87)

0.265

   Appetite loss

6 (28.6)

4 (20.0)

1.60 (0.40–6.39)

0.523

   Night sweats

2 (9.5)

7 (35.0)

0.20 (0.04–0.99)

0.049

   Chest pain

2 (9.5)

4 (20.0)

0.42 (0.08–2.29)

0.343

CXR presentations

    

   Unilateral disease

7 (33.3)

8 (40.0)

0.75 (0.22–2.61)

0.658

   Bilateral disease

13 (61.9)

11 (55.0)

1.33 (0.39–4.52)

0.654

   Pleural effusion

1 (4.8)

1 (5.0)

0.95 (0.09–9.75)

0.972

   Cavity

2 (9.5)

7 (35.0)

0.20 (0.04–0.99)

0.049

WBC count (cells/μl)

    

   Total WBC (mean ± SD)

8629 ± 3331

10415 ± 3996

 

0.150

   Lymphocytes (mean ± SD)

1376 ± 614

1563 ± 983

 

0.496

   Monocytes (mean ± SD)

656 ± 340

901 ± 361

 

0.014

   Eosinophils (mean ± SD)

144 ± 194

80 ± 82

 

0.193

   Basophils (mean ± SD)

32 ± 17

40 ± 43

 

0.474

Anemiab

14 (66.7)

13 (65.0)

1.08 (0.31–3.81)

0.910

Hemoglobin (g/dL)

    

   Male (mean ± SD)

11.8 ± 1.2

11.3 ± 1.6

  

   Female (mean ± SD)

11.6 ± 1.9

11.3 ± 1.4

  

Beijing, Beijing genotype; non-Beijing, non-Beijing genotypes; OR, odds ratio; CI, confidence interval; CXR, chest X-ray; WBC, white blood cells; SD, standard deviation.

aUnit is in day.

bHemoglobin < 13 g/dL in males and < 11.8 g/dL in females.

There was no significant difference in the frequency of cough between Beijing and non-Beijing infected patients (p = 0.125). However, in the 18 patients who had cough and were infected with Beijing strains, the duration of cough before the diagnosis varied widely from 14 to 1440 days (4 years) with a median of 60 days. Only 39% (7/18) of such patients were identified and diagnosed within one month. For the patients infected with non-Beijing strains, the range of the duration was much narrower, from 2 to 180 days with a median of 30 days. Much higher proportion (65%, 13/20) of the patients was identified within one month. The individual cough duration is shown in Figure 1. The difference between the two groups is statistically significant (p = 0.048), indicating that patients infected with Beijing strains presented with longer duration of cough before the diagnosis.
https://static-content.springer.com/image/art%3A10.1186%2F1471-2334-6-105/MediaObjects/12879_2006_Article_369_Fig1_HTML.jpg
Figure 1

Cough duration (day) of patients infected with Beijing and non-Beijing strains. Cough durations of the pulmonary tuberculosis patients before diagnosis were compared by Beijing and non-Beijing groups. Patients infected with Beijing strains had significantly longer cough (median, 60 days) compared to those infected with non-Beijing strains (median, 30 days). Two patients in the Beijing group who had 4-year long cough before the diagnosis are expressed as > 300 days. The two groups differed significantly in the duration of cough (p = 0.048).

Fever was recorded in 9 (42.9%) of the 21 patients infected with Beijing strains and 17 (85.0%) of the 20 patients infected with non-Beijing strains [OR (95% CI), 0.13 (0.03–0.57), p = 0.005]. In addition to fever, night sweats were less frequently reported in patients infected with Beijing strains [OR (95% CI), 0.20 (0.04–0.99), p = 0.049]. To further test these associations, we performed multivariate logistic regression analysis. Independent variables included sex, age, and ethnicity, though they did not differ significantly between the two groups, as well as fever and night sweats. The inverse association between febrile response and Beijing strains remained strong after multivariate adjustment [OR (95% CI), 0.12 (0.02–0.63), p = 0.008]. However, the inverse association between night sweats and Beijing strains was no longer statistically significant after the multivariate adjustment [OR (95% CI), 0.20 (0.02–1.75), p = 0.145].

The chest radiographic abnormalities associated with infections of Beijing and non-Beijing strains were compared (Table 3). There was significantly less cavitary disease in patients infected with Beijing strains [OR (95% CI), 0.20 (0.04–0.99), p = 0.049]. No difference was observed in the frequency of unilateral and bilateral non-cavitary disease, and pleural effusion. Miliary disease was not found in the subjects.

The frequency of anemia in the entire study group was 65.9% (27/41), and there was no difference between the two groups (Table 3). Table 3 also presents total and differential counts of white blood cells of the patients. The mean counts for total white blood cells, lymphocytes, eosinophils, and basophils were not significant different in each group. The mean monocyte count was significantly higher in the non-Beijing group (mean, 901/μl) compared to the Beijing group (mean, 656/μl) (p = 0.014).

Plasma cytokine and cytokine gene expression analysis

Blood samples were collected from 40 of the 41 tuberculosis patients. Plasma IL-2, IL-4, and IL-13 were not detectable by the ELISA kits, thus not shown. The plasma levels of IFN-γ and IL-18 were similar between patients infected with Beijing and non-Beijing strains (Figure 2)
https://static-content.springer.com/image/art%3A10.1186%2F1471-2334-6-105/MediaObjects/12879_2006_Article_369_Fig2_HTML.jpg
Figure 2

Plasma cytokine levels. Plasma levels of IFN-γ and IL-18 in pulmonary tuberculosis patients were quantified using ELISA assay. Patients infected with Beijing and non-Beijing strains showed similar levels of IFN-γ (p = 0.994) and IL-18 level (p = 0.341). The bars indicate the log median levels in each group.

Of the 40 blood samples collected and prepared for cytokine gene expression analysis, the first 15 samples had very low RNA yields, thus the cDNA transcribed from these samples was too low to be reliably quantified. The results presented below pertain to the 25 samples in which satisfactory RNA samples were obtained. The 25 samples were from 12 patients infected with Beijing strains (8 males, 66.7%; mean age, 52, SD, 14) and 13 patients infected with non-Beijing strains (5 males, 38.5%; mean age, 48, SD, 21). These characteristics were similar between the subgroup patients and the whole group of study subjects (refer to Table 2).

The expression of cytokine genes was standardized as per 105 β-actin cDNA copies. The expression level of IL-13 was too low to be detected by the quantitative real-time PCR, thus not shown. As shown in Figure 3, the cDNA copies of IFN-γ, IL-2 and IL-18 did not differ significantly between the Beijing and non-Beijing groups. The median cDNA copies for IFN-γ, IL-2 and IL-18 were respectively 232 (range, 77–691), 7 (range, 0–78), and 314 (range, 120–715) in patients infected with Beijing strains, and 228 (range, 39–491), 10 (range, 0–30), 355 (range, 81–1067) in patients infected with non-Beijing strains. The cDNA copies of IL-4 were significantly higher in patients infected with non-Beijing strains (median = 26, range, 9–87) compared to those with Beijing strains (median = 16, range, 0–68) (p = 0.018).
https://static-content.springer.com/image/art%3A10.1186%2F1471-2334-6-105/MediaObjects/12879_2006_Article_369_Fig3_HTML.jpg
Figure 3

Comparison of cDNA copies of cytokine genes. cDNA copies of IFN-γ, IL-2, IL-18, and IL-4 were compared by Beijing and non-Beijing groups. The two groups of patients showed no difference in the expression of IFN-γ, IL-2, and IL-18 genes (p > 0.05). But patients infected with non-Beijing strains had significantly higher expressed cDNA copies of IL-4 than those with Beijing strains (p = 0.018). Log medians of cDNA copies are indicated by bars.

We also compared the IFN-γ : IL-4 cDNA copy number ratio between the Beijing and non-Beijing groups. Two patients who had no detectable IL-4 cDNA copies were assumed having 1 cDNA copy in order to calculate the ratios. Patients infected with non-Beijing strains showed significantly lower IFN-γ : IL-4 cDNA copy number ratios than those infected with Beijing strains (p = 0.01) (Figure 4).
https://static-content.springer.com/image/art%3A10.1186%2F1471-2334-6-105/MediaObjects/12879_2006_Article_369_Fig4_HTML.jpg
Figure 4

IFN-γ : IL-4 cDNA copy number ratio of pulmonary tuberculosis patients. Patients infected with non-Beijing strains had significantly lower ratios than those infected with Beijing strains (p = 0.01). The bars indicate log median ratios.

Discussion

In this study we recruited consecutive patients with clinically defined pulmonary tuberculosis to analyze the clinical and immunological differences between M. tuberculosis genotypes. All the subjects had microbiologically confirmed tuberculosis, and the manner of recruitment and pattern of symptoms suggests that they are likely to be representative of the population of tuberculosis patients presenting to a typical general practitioner, polyclinic or hospital emergency department in Singapore. In spite of the reluctance of some patients to undergo HIV testing, we were able to definitively exclude HIV co-infection in many of the participants, and establish the absence of risk factors in the remainder. Given that the rate of HIV coinfection in tuberculosis patients is less than 1% in Singapore (unpublished data), it is unlikely that a significant proportion of the remainder would be HIV positive.

Fever is a common manifestation of pulmonary tuberculosis and is one of the few that can be measured objectively. The frequency with which fever has been observed in patients with tuberculosis varies widely from approximately 34% to 94% [2023]. Patients with fever are more often symptomatic, more likely to have advanced disease, more likely to be smear positive, and tend to be younger [21, 22]. In this study we made the interesting and potentially important observation that 85% of patients infected with non-Beijing strains had fever, whereas only 43% of those infected with Beijing strains had fever, and this large difference is statistically significant.

We used a definition of fever that depended on objective observations made while patients were hospitalized, and recorded by nursing staff who were obviously unaware of the genotype of M. tuberculosis with which the patient is infected. In addition to fever, we also found that night sweats were significantly less common in patients infected with Beijing strains. This latter finding agrees with the findings of a large study performed in Russia by Drobniewski et al. [24] to examine differences between patients infected with Beijing and non-Beijing strains. In that study, night sweats were found significantly less often (OR, 0.7) in patients infected with Beijing strains and the association remained significant after multivariate adjustment. However, in that study there was no significant difference in the frequency of fever between Beijing and non-Beijing groups. The definition of fever was not given and the overall rate (approximately 30% in both groups) suggests that some under-reporting of fever may have occurred. Although we found that the frequency of fever and of night sweats differed between the Beijing and non-Beijing groups, after multivariate analysis only fever remained significant. This is not surprising as the two symptoms often occur together in the same patient, and so it is difficult to ascertain an independent effect. The important point is that our study agrees with the study from Russia that there is a difference in the clinical systemic host response to Beijing and non-Beijing genotype strains. In addition, Drobniewski et al. [24] have suggested that sub-Beijing families may be different in pathogenicity or transmissibility. The Beijing isolates in our study and those in the Russian study may belong to different sub-Beijing families and this may be related with the inconsistence between the two studies.

The presence of a constitutional symptom such as fever will usually lead patients to seek medical attention. Conversely, the absence of such symptoms or a more indolent presentation may therefore lead to delays in consultation and make the disease less identifiable, thus increasing the likelihood of transmission in the case of tuberculosis. To examine this hypothesis, we compared the duration of cough of the subjects before the diagnosis by Beijing and non-Beijing genotypes, because cough is the most common route of spreading the bacteria. We found that patients infected with Beijing strains had significant longer duration of cough compared to those infected with non-Beijing strains. This may partially account for why the M. tuberculosis Beijing genotype is more prevalent. One limitation of this observation is that the data of cough duration was based on the patients' subjective description, and this may not be very accurate. Furthermore, other socioeconomic factors may influence patient's decision for medical attention. Therefore, a larger study is needed to answer questions about the consequences of the differences in symptoms on presentation, diagnosis, and transmission of tuberculosis.

We found that there was a significant higher frequency of cavitary disease in patients infected with non-Beijing strains. However, in studies performed in Indonesia [12] and in The Netherlands [25] in which the CXR presentations of patients infected with Beijing and non-Beijing strains were compared, the authors did not find any significant difference between the two groups of patients. But in the much larger study by Drobniewski et al. [24], infection with Beijing genotype was associated more commonly with advanced radiological abnormalities, defined as multiple lung zones with fibrotic change and widespread cavitation, than was non-Beijing genotype, a result that is somewhat contrary to ours.

The plasma levels of IFN-γ and IL-18 were similar and no difference in gene expression levels of IFN-γ, IL-2 and IL-18 was observed between the Beijing and non-Beijing groups. This finding in general does not suggest that Beijing strains elicit a weaker Th1 immune response in tuberculosis patients, and differs from the observation from mouse studies that mice infected with the Beijing strains presented with reduced Th1 immune responses [13, 14].

However, we found that patients infected with non-Beijing strains had significantly higher level of IL-4 gene expression in PBMCs and significantly lower IFN-γ : IL-4 cDNA copy number ratios compared to those infected with Beijing strains, suggesting a relatively enhanced Th2 immune response in non-Beijing patients. This finding to some extent agrees with a recent in vitro study [26] in which macrophages derived from bone marrow of mice were infected with different M tuberculosis genotype strains. They found that cells infected with Beijing strains induced a favorable Th1 immune response, as evidenced by the highest mRNA and protein expression of IL-1β, TNF-α, and IL-12, and a comparable IL-18 expression with other M. tuberculosis genotype strains. On the other hand, there were reduced Th2 responses in cells infected with Beijing strains as demonstrated by diminished IL-10 mRNA levels compared with other non-Beijing strains. This cytokine pattern is favorable to control infection. In addition, previous studies have demonstrated that increased IL-4 production is associated with advanced radiological disease [27], cavitary disease [2], and progression from latent infection to active disease [29]. In the present study, we also found that elevated IL-4 expression was related with cavitary disease. These findings suggest that IL-4 might play a pathogenic role in tuberculosis.

The limitations of this study include the small sample size which means that important differences between groups may not have been detected and some clinical data that were obtained based on patient's subjective description were fairly crude. Further studies based on a larger number of cases and with more detailed clinical and laboratory measurements would be useful to confirm and extend these findings.

Conclusion

Our data showed that human tuberculosis caused by the M. tuberculosis Beijing genotype strains was associated with significantly reduced frequency of fever, night sweats, and pulmonary cavitation, suggesting that they induce less inflammatory response and tissue-damage. Th1 immune responses are similar in patients infected with Beijing and non-Beijing strains; but the increased IL-4 expression in the patients infected with non-Beijing strains suggests that non-Beijing strains activate relatively more Th2-polarized immunity compared to Beijing strains.

Declarations

Acknowledgements

We thank the medical and nursing staff for their assistance in patient enrolment and specimen collection. YJS is a research scientist supported by the National Medical Research Council (NMRC), Singapore.

Authors’ Affiliations

(1)
Department of Infectious Diseases, Tan Tock Seng Hospital
(2)
Department of Medicine, National University of Singapore
(3)
Department of General Medicine, Tan Tock Seng Hospital
(4)
Department of Microbiology, National University of Singapore

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  30. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2334/6/105/prepub

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© Sun et al; licensee BioMed Central Ltd. 2006

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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