Ratio of monocytes to lymphocytes in peripheral blood in patients diagnosed with active tuberculosis

Abstract

Objective:

The ratio of monocytes to lymphocytes in peripheral blood could reflect an indi- vidual's immunity to Mycobacterium tuberculosis . The objective of this study was to evaluate the relationship between ratio of monocytes to lymphocytes and clinical status of patients with active tuberculosis.

Methods:

This was a retrospective review of data collected from the clinical database of The Fifth People's Hospital of Wuxi, Medical College of Jiangnan University. A total of 419 patients who had newly diagnosed active tuberculosis and 108 cases from 419 patients with tuberculosis therapy either near completion or completed were selected. Controls were 327 healthy donors.

Results:

Median ratio of monocytes to lymphocytes was 0.36 (IQR, 0.22-0.54) in patients before treatment, and 0.16 (IQR, 0.12-0.20) in controls (p < 0.001). Ratio of monocytes to lymphocytes <9% or >25% was significant predictors for active tuberculosis (OR = 114.73, 95% CI, 39.80-330.71; OR = 89.81, 95% CI, 53.18-151.68, respectively). After treatment, the median ratio of monocytes to lymphocytes recovered to be nearly normal. Compared to other patients, patients with extrapulmonary tuberculosis and of age >60 years were more likely to have extreme ratio of monocytes to lymphocytes (AOR = 2.57, 95% CI, 1.08-6.09; AOR = 4.36, 95% CI, 1.43-13.29, respectively).

Conclusions:

Ratio of monocytes to lymphocytes <9% or >25% is predictive of active tuberculosis.

Active tuberculosis Monocytes Lymphocytes; ML ratio

Introduction

Globally there were an estimated 8.6 million new cases of 1068 cases diagnosed with active TBtuberculosis (TB) in 2013 and 1.3 million deaths.1 China and India have the greatest burden of disease. India and China alone accounted for 26% and 12% of total cases, respectively.¹In the most Western European countries and United States, the majority of cases occur in foreign-born residents and recent immigrants from countries in which TB is endemic.^2-4TB is presenting new challenges as a global health prob- lem, especially with new threats of HIV coinfection anddrug-resistant strains of Mycobacterium tuberculosis (Mtb).⁵ Theknowledge about the hematological manifestations of Mtb infection is critically important to provide insight into patho- genesis. For decades, myeloid-specific cells have been known to serve as host cells for Mtb growth and lymphoid cells are thought to be the major effector cells in TB immunity. Given the central role of monocytes and lymphocytes in the induction of immune responses, their levels (hereafter termed "ML ratio") in peripheral blood might be expected to reflect the state of an individual's immunity to infection.

In a recent clinical analysis of peripheral blood mononuclear cells from a cohort of South African infants the relative ratio of monocytes to lymphocytes at the start of monitoring was shown to predict risk of developing tuberculosis disease during follow-up.⁶

Others reported that the ratio of lymphocytes to monocytes in peripheral blood correlated with the extent of tuberculosis in both rabbits⁷ and humans,⁸ but the numbers studied were small and the strength of the conclusions that could be reached in humans was deemed to be modest. The direct characterization of ML ratio to date has been surprisingly limited. There was no strong evidence that ML ratio was affected byMtb infection in humans.

To start with this, using full differential blood count data from patients with active tuberculosis and healthy donors, we sought to determine whether ML ratio could be affected by tuberculosis or ongoing anti-TB treatment and provide insight into its pathogenesis.

Method

Study population and ethics statement

Data from all subjects in the present retrospective review were collected from the clinical database of The Fifth People's Hospital of Wuxi, Affiliated to Jiangnan University, between December 2010 and June 2013. This study was approved by the Institutional Ethics Committee of The Fifth People's Hospital of Wuxi, Affiliated to Jiangnan University (QD-2013-0016), and was in compliance with the national legislation and the Declaration of Helsinki guidelines. Written patient consent was obtained according to the institutional guidelines.

Participants clinical diagnosis and treatment

Healthy donors were from the physical examination center of our hospital and met the following criteria: no history of previous active TB or TB treatment, no evidence of current active TB (absence of cough, intermittent fever, and exces- sive night sweating in the past two weeks and absence of unexplained weight loss in the past month). Tuberculosis was diagnosed when subjects with clinical and/or imaging features compatible with tuberculosis had at least one of the following criteria: positive sputum smear for acid-fast bacilli (AFB); positive culture for M. tuberculosis ; biopsy suggestive of tuberculosis, and/or full response to anti-tuberculosis treatment. Patients with extrapulmonary TB accompanying pulmonary TB involvement were included in the category of extrapulmonary TB. Treatment of new cases, both pulmonary and extrapulmonary tuberculosis, received two months of isoniazid (H), rifampicin (R), pyrazinamide (Z) and ethambutol (E) during an intensive phase and four months of HR in the con- tinuation phase. The duration of treatment was six months. Several kinds of extrapulmonary tuberculosis were more dif- ficult to cure. Treatment for an extended period of time was required to ensure disease control. Such as, prolonged therapy had been adopted in TB meningitis (9-12 months) and bone and joint TB (9 months; Fig. 1).⁹

Fig. 1
- Patient selection criteria used in this study.

Full differential blood counts

Full blood counts (FBC) of peripheral blood collected in ethylene-diamine tetra-acetic acid containing (EDTA) tubes were performed by one of two clinical diagnostic laborato- ries each using a five-part differential hematology analyser(Sysmex Model XS, Hamburg, Germany). Full blood count measurement was subject to strict quality assurance procedures including twice-daily high and low internal quality control, fortnightly quality controls done by the Wuxi clinical laboratory QC scheme (Wuxi, Jiangsu, China) and annual quality assurance as part of Jiangsu clinical laboratory QC scheme. Both laboratories are accredited by the China National Accreditation System in accordance with international standards ISO 17025/2005 and ISO 15189/2007.

Statistical methods

Statistical analysis was conducted using SPSS version 17.0. Pearson's chi-square test and Mann-Whitney U test were used to identify significant differences across patients and healthy donors, patients before treatment and after treatment. p < 0.05 (two-sided) was considered as statistically significant differ- ence. The odds ratios (OR) were estimated with 95% confidence intervals (CIs) from the univariate analysis to investigate the relationship between active tuberculosis and the different ML ratios. Adjusted odds ratios (AOR) with 95% CIs were also estimated from the multivariate analysis to determine the factors associated with the different ML ratios of patients.

Results

Characteristics of the study population

A total of 1068 patients were diagnosed with active TB in the database of The Fifth People's Hospital of Wuxi from December 2010 to June 2013. Availability of full differential blood counts when newly diagnosed with active TB (previously untreated for TB and never received anti-TB drugs for <1 month) was required to compare with healthy donors. Patients without pre-treatment data were excluded and 965 patients remained. We further excluded return-visiting patients, who experienced treatment failure or reinfection during the course of therapy, 638 patients remained. After excluding patients with viral hepatitis (viral hepatitis type A, B and C), AIDS (acquired immune deficiency syndrome), and diabetes, 464 patients remained. Individuals who were pregnant, did not agree to participate in our study, or had other diseases, such as, lung cancer, measles, syphilis, leucopenia, systemic lupus erythematosus, or rheumatoid arthritis, which were likely to influence full blood counts, were also excluded. Finally, data of full blood counts from 419 patients were included in the analysis, with a median age of 55 years, and 71.1% were men. Furthermore, in order to assess the influence of anti-TB therapy, we excluded patients who did not receive the recommended therapy, such as irregular treatment, intermittent treatment, and undertreated patients. Finally, 108 patients who had anti-TB therapy either near completion or completed remained. A total of 327 healthy volunteers were included, 207 male and 120 female subjects.

Demographic, clinical, and laboratory characteristics of the study sample

There were 746 individuals enrolled in the study: 419 patients with newly treated active tuberculosis, and 327 healthy donors without Mtb infection. Demographic and clinical characteristics and laboratory data are summarized in Table 1. There was no difference in median age or sex between patients and healthy donors. Patients with active tuberculosis had significantly higher median absolute number of white blood cell (WBC), monocytes and neutrophils than healthy donors. The median absolute number of lymphocytes of patients was significantly lower than that of healthy donors. Patients with active tuberculosis had a significantly different ML ratio to healthy donors.

Table 1
Demographic, clinical, and laboratory characteristics of the study population.

Characteristic	Value
	Active tuberculosis (n = 419)	Healthy donors (n = 327)	p -valuea
Age (year)	55 (33–69)	54 (38–67)	0.96
No. (%) of male subjectsb	298 (71.1)	207 (63.3)	0.02
Cell count (per dm3)c
WBC	7.10 (5.51–9.20)	6.32 (5.35–7.35)	<0.001
Monocytes	0.50 (0.30–0.67)	0.35 (0.29–0.43)	<0.001
Lymphocytes	1.39 (1.02–1.80)	2.23 (1.83–2.71)	<0.001
ML ratio	0.36 (0.22–0.54)	0.16 (0.12–0.20)	<0.001
Neutrophils	4920 (3480–6990)	3510 (2780–4280)	<0.001

• a By Mann-Whitney or Pearson's chi-square test. b Data are presented as numbers (%) of individuals except indicated. c Data are presented as median numbers (interquartile range).

Association between ML ratio and active tuberculosis, by percentile ranking of the ratio of monocytes to lymphocytes

Participants (patients and healthy donors) were stratified into categories of ML ratio of less than the 9th percentile, between the 9th and 25th percentile, and greater than the 25th percentile (Table 2). Compared to healthy donors, patients with active tuberculosis were distributed differently in the three categories: 73.9% of patients compared to 24% of healthy donors with ML ratio >the 25th percentile, 15.8% to 1.2% with ML ratio <the 9th percentile, and 10.3% to 91.4% with ML ratio between the 9th and 25th percentile, the difference was statistically significant by multi-classification analysis of Pearson's chi-square test (p < 0.001) (Table 2). As shown in Fig. 2, ML ratioof healthy donors (blue circle) centralized mostly between the blue and green lines (91.4%); ML ratio of patients (green circle) distributed mainly out of the lines (89.7%) (Fig. 2A). ML ratio of healthy donors was the most centralized data (IQR 0.08), and gathered mainly in the area where the data from patients distributed rarely (Fig. 2B). Compared to ML ratio between the 9th and 25th percentile, participants with ML ratio <the 9th percentile or >the 25th percentile had a higher likelihood to be patients with active tuberculosis (OR = 114.73,95% CI, 39.80-330.71; OR = 89.81, 95% CI, 53.18-151.68, respectively) (Table 2). It indicated that ML ratio less than the 9th percentile or greater than the 25th percentile were significant predictors for active tuberculosis.

Table 2
Percentile ranking of the ratio of monocytes to lymphocytes.

Explanatory variable	Value
	Active tuberculosis (n = 419)	Healthy donors (n = 327)	p -valuea	ORa	95.0% CI for OR
					Lower	Upper
ML ratio between 9th and 25th percentile	43 (10.3)	299 (91.4)		1
ML ratio <9th percentile	66 (15.8)	4 (1.2)	<0.001	114.733	39.803	330.716
ML ratio >25th percentile	310 (73.9)	24 (7.4)	<0.001	89.816	53.181	151.687
p-valueb	<0.001

• a Logistic regression analysis, abbreviations: OR, odds ratio; CI, confidence interval. b Pearson's chi-square test.

Fig. 2
- Distribution of participants (patients and healthy donors) with ratio of monocytes to lymphocytes (ML ratio). (A) Monocytes and lymphocytes count are plotted on the x- and y-axes, respectively. ML ratio of healthy donors (blue circle) centralized mostly between the blue and green lines, ML ratio of patients (green circle) distributed mainly out of the lines. The dotted blue line denotes the 9th percentiles for ML ratio. The dotted green line denotes the 25th percentiles for ML ratios. (B) Median levels of ML ratio of patients of active tuberculosis and healthy donors. Each dot represents ML ratio for an individual patient or healthy donor. Bars represent medians. ML ratio of healthy donors gathered mainly in the area where the data from patients distributed rarely.

Factors associated with different ML ratio distribution in334 patients

A multivariate analysis was conducted using variables of gen- der, age and disease classification. As shown in Table 3, our study compared the characteristics of 334 from 419 patients who had clear information of disease classification. Male patients had a higher probability to be in the group of ML ratio<9% or ML ratio >25% than female patients, but the result had no statistical significance. Compared to patients less than 23 years of age, patients older than 60 years were over 4-fold more likely to be in the group of ML ratio <9% or ML ratio>25%. Patients with extrapulmonary tuberculosis were nearly2.5-fold more likely to be in the extreme groups (Table 3).

Table 3
Factors associated with different ML ratios distribution of patients diagnosed with active tuberculosis.

Active tuberculosis	Value
	ML ratio <9th percentile or ML ratio >25th percentile (304)	ML ratio between 9th and 25th percentile (30)	p -valuea	AORa	95.0% CI for AOR
					Lower	Upper
Gender
Male	216 (71)	24 (80)		1
Female	88 (29)	6 (20)	0.263	1.729	0.663	4.508
Age
<23	42 (13.8)	8 (26.7)		1
23–60	130 (42.8)	12 (40)	0.076	2.537	0.907	7.097
>60	132 (43.4)	10 (33.3)	0.01	4.364	1.433	13.296
Classificationb
Pulmonary tuberculosis	180 (59.2)	21 (79)		1
Extrapulmonary tuberculosis	124 (40.8)	9 (30)	0.032	2.571	1.085	6.093

• a Logistic regression analysis, abbreviations: AOR, adjusted odds ratio; CI, confidence interval. b 85 cases lack clear information of disease classification.

ML ratio of patients recovered to be nearly normal with treatment

In order to further evaluate the impact of anti-TB therapy on the ML ratio, we excluded patients who did not receive the recommended therapy, such as irregular treatment, intermittent treatment, and undertreated therapy. A total of 108 from

419 patients who had FBC with therapy either near comple- tion or completed were remaining and was also stratified into the same three categories with ML ratio: less than the 9th percentile, between the 9th and 25th percentile, and greater thanthe 25th percentile. Anti-TB therapy significantly reduced ML ratio with ML ratio greater than 25th percentile (median ML ratio, 0.472 (IQR, 0.33-0.62) before treatment vs 0.2199 (IQR, 0.16-0.28) after treatment, p < 0.001). ML ratio elevated significantly with ML ratio less than 9th percentile (median ML ratio, 0.026 (IQR, 0.006-0.059) before treatment vs 0.197 (IQR, 0.09-0.25) after treatment, p < 0.001). In patients with ML ratio between the 9th and 25th percentile, there was no difference between ML ratio before treatment (median ML ratio, 0.20 [IQR 0.15-0.23]) and after treatment (median ML ratio,0.15 [IQR, 0.12-0.19], p = 0.166). Before anti-TB therapy, 9.3% of individuals (10/108) had ML ratio between the 9th and 25th percentile, compared with 75% (81/108) following anti-TB therapy (p < 0.001). The median ML ratio of healthy donors was0.15 (IQR, 0.12-0.19). The results indicated that higher ML ratio decreased, and lower ML ratio increased to be close to the ML ratio of healthy donors. ML ratio of patients recovered to be nearly normal with treatment.

Discussion

Monocytes are an essential component of the innate immune response that acts as a link to the adaptive immune system through antigen presentation to lymphocytes. Thus any factor that perturbs the function or relative numbers of either cell type could potentially affect an individual's response to infection.

The ML ratio in peripheral circulation may reflect an individual's capacity to mount an effective immune response. ML ratio has been shown to correlate with inhibition of mycobacterial growth in vitro^10,11 and the risk is higher among individuals with either low or high ML ratio.¹² These results add to evidence supporting that extremes of immunity are associated with TB. This ratio could herald a previously unknown pathophysiologic change of TB. As demonstrated byour study, patients with active tuberculosis had a higher or lower ML ratio compared to healthy donors. We stratified par- ticipants into three categories with different ML ratios, andhealthy donors were mostly in the group of ML ratio between the 9th and 25th percentile, but patients were mainly in the group of ML ratio greater than the 25th percentile and in the group of ML ratio less than the 9th percentile (Table 2). ML ratios in extreme percentiles were significant predictors for active tuberculosis.

The normal ML ratio is disrupted by Mtb infection. It has been reported recently that Mtb infection may alter subsets of hematopoietic stem cells¹³ or directly infect bone marrow mesenchymal stem cells.¹⁴ Studies in mice¹⁵ and human¹⁶ have shown that subsets of hematopoietic stem cells have distinct biases in the ratio of myeloid to lymphoid cells they give rise to.^17,18 The different proportion of myeloid biased or lymphoid-biased hematopoietic stem cells may underlie the peripheral difference of ML ratio. Therefore, it is reasonable that Mtb infection may alter hematopoietic stem cells such that the ML ratio is altered. The change of monocytes and lymphocytes, reflected in their ratio, may affect patients' ability torespond to mycobacterial infection. Further work to explore the pathophysiological involvement of the ML ratio in TB may yield new pathways to modify or prevent the disease.

ML ratio of patients aged more than 60 years and extrapulmonary tuberculosis are disrupted more seriously than others. The multivariate analysis indicated that, among patients diagnosed with active tuberculosis, to be aged more than 60 years and to have extrapulmonary tuberculosis were associated with different ML ratios of patients.

In order to further evaluate whether ML ratio could be affected by anti-TB therapy, the difference between before treatment and after therapy was analyzed (Fig. 3). The results indicated that high ML ratio decreased, and low ML ratio increased to be close to the ML ratio of healthy donors. It suggested that ML ratio of patients may be changed with anti-TB therapy and the alteration of ML ratio may also reflect the effectiveness and phase of therapy.

Fig. 3
- Ratio of monocytes to lymphocytes (ML ratio) of patients, before treatment, after treatment and healthy donors. (A) ML ratio of patients with ML ratio greater than 25th percentile; (B) ML ratio of patients with ML ratio less than the 9th percentile; (C) ML ratio of patients with ML ratio between the 9th and 25th percentile. Data are presented with box plot reporting the median values and the interquartile range (***p < 0.001). Median ML ratio of patients changed to be close to healthy donors with anti-tuberculosis treatment.

Our study has several limitations. The eligible patients represented a fraction of the patients diagnosed with active tuberculosis during the study period, raising a concern for a selection bias. Nearly 60.8% (649/1068) of the patients were excluded. Whether the exclusion of these patients affected the outcome is unknown. As a retrospective study, collecting information from medical records filled in by other profession- als is unavoidable but tends to be less accurate. Fortunately, at the time of clinical assessment, although clinicians were not blinded to the full blood count, they were not aware of this hypothesis, thus diminishing diagnostic bias.

Despite these limitations, our results support that ML ratios are disrupted with tuberculosis; ML ratios in the extreme percentiles are associated with active TB. This observation needs to be confirmed in other geographic settings.

Acknowledgments

We thank the all patients for their support in this research and colleagues of The Fifth People's Hospital of Wuxi for their assistance in collection of research data.

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• These authors contributed equally to this article.

Publication Dates

• Publication in this collection
  Mar-Apr 2015

History

• Received
  12 June 2014
• Reviewed
  06 Oct 2014
• Accepted
  18 Dec 2014