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Human Immune Responses to Melioidosis and Cross-Reactivity to Low-Virulence Burkholderia Species, Thailand.

Melioidosis is a neglected tropical disease with an estimated annual global mortality rate of 89,000 (1). Its cause is the gram-negative bacterium Burkholderia pseudomallei, which is found in environmental soil and water in Southeast Asia and northern Australia and is increasingly recognized across tropical regions (2). Known underlying risk factors that contribute to increased susceptibility to infection include diabetes, chronic kidney diseases, and alcohol abuse (3). The rapid expansion of type 2 diabetes, especially in low- and middle-income countries, is likely to exacerbate the situation further (4). In Thailand, B. pseudomallei is highly distributed in the environment in the northeast, where most of the country's melioidosis cases have been reported (5). However, B. pseudomallei is also isolated from soil in the eastern and central parts of Thailand. A closely related species of minimal virulence, B. thailandensis, and a B. thailandensis variant (BTCV) expressing the B. pseudomallei-lke capsular polysaccharide (CPS) are also present in the soil in Thailand (6). The genomic composition of B. thailandensis shows >85% similarity with B. pseudomallei (7). However, there are a few key differences, including the lack of virulence factors, such as capsular polysaccharide, and the presence of the arabinose assimilation operon (8) in B. thailandensis and BTCV. The hybrid BTCV exhibits several features found in B. pseudomallei, including resistance to decomposition by the complement system, intracellular survival inside macrophages, and colony morphology that resembles that of B. pseudomallei (9). Although BTCV has acquired B. pseudomallei-lke CPS gene clusters, it has been shown to be nonpathogenic in mouse models (9).

Immune cross-protection conferred by B. thailandensis variants has been demonstrated in animal models (10). In particular, mice immunized with the BTCV isolate E555 showed superior cross-protection to that from the noncapsulated strain against a lethal dose of B. pseudomallei challenge, resulting in high CPS-specific IgG levels and decreased bacterial prevalence (10). To date, comprehensive immune crossreactivity to B. thailandensis and BTCV has not been studied in humans.

Protective adaptive immunity in human melioidosis is complex, but defense against its intracellular pathogen is likely to require competent cellular immune responses largely mediated by T lymphocytes (11,12). Our team and others have shown that surviving melioidosis patients have elevated CD4 and CD8 T-cell-mediated interferon [gamma] (IFN-[gamma]) responses to B. pseudomallei compared with deceased case-patients (13,14). Along with key protective immunity conferred by cellular immune responses, humoral immunity against BP infection has been demonstrated to be a component of protection in rodent models (15), although antibody levels measured by indirect hemagluttination assay were not significantly associated with survival (p>0.05) in human patients after adjusting for other parameters (16). Our study aimed to characterize the relationship between the human B. pseudomallei-specific immune response and responses to B. thailandensis and BTCV. We evaluated humoral and cellular immune responses to B. pseudomallei, B. thailandensis, and BTCV in patients with acute melioidosis, in patients with other gram-negative bacterial infections, and in exposed populations in the endemic region with and without diabetes.

Materials and Methods

Study Design

We conducted a prospective observational study during 2015-2017 at Sunpasitthiprasong Hospital, Ubon Ratchathani, Thailand, to evaluate human immune responses to B. pseudomallei, B. thailandensis, and BTCV. We recruited 4 cohorts: inpatients >20 years of age who had culture-confirmed melioidosis (melioidosis cohort; n = 99), patients who had positive cultures for other gram-negative bacterial infections (OGNI cohort; n = 48), patients who attended the hospital's diabetes outpatient clinic for diabetes mellitus (DM cohort; n = 98), and healthy control participants from the melioidosis-endemic areas who were household contacts of the melioidosis case-patients (HH cohort; n = 96). The number of samples varied between assays due to sample availability (Table 1). We determined 28-day survival status using the hospital death records and by telephone. We collected blood samples during enrollment and processed them as described previously (13). We measured humoral and cellular immune responses using indirect hemagglutination assay (IHA), IgM and IgG ELISA, ex vivo IFN-[gamma] enzyme-linked immunospot assay (IFN-[gamma] ELISpot), and a whole-blood stimulation assay (WBA). The ethics committees of the Faculty of Tropical Medicine, Mahidol University (TMEC 12-014); Sunpasitthiprasong Hospital, Ubon Ratchathani (017/2559); and the Oxford Tropical Research Ethics Committee (OXTREC35-15) approved the study protocol.

Antigen Preparation

We prepared antigens in accordance with published methods, unless otherwise stated (17,18). For IHA, we used crude culture filtrate antigens from pooled isolates with the following specifications: B. pseudomallei Thai clinical isolates 199a and 207a (19), B. thailandensis Thai environmental isolates E264 (ATCC700388) and STBCC006 (20), and BTCV Thai environmental E555 and USA clinical isolate CDC3015869. We prepared B. thailandensis and BTCV antigens following a traditional IHA antigen preparation as described previously (17). For ELISA, we prepared whole-cell heat-killed antigens from B. pseudomallei Thai clinical isolate K96243, BT E264, and BTCV E555 as described previously (18). For IFN-[gamma] ELISpot and whole-blood stimulation assay, we used a single culture filtrate antigen of each strain, B. pseudomallei 199a, B. thailandensis E264, and BTCV E555.

IHA and ELISA

We determined serologic responses to B. pseudomallei, B. thailandensis, and BTCV by IHA, as well as IgM and IgG ELISA (18). We performed IHA as described previously (17), with an IHA titer of [greater than or equal to]1:80 considered positive (21).

IFN-[gamma] ELISpot

We used a commercial IFN-[gamma] ELISpot assay (Mabtech AB, https://www.mabtech.com) to quantify secreted IFN-[gamma] from peripheral blood mononuclear cell (PBMC) in response to B. pseudomallei, B. thailandensis, and BTCV antigens as described previously (13). In brief, we added PBMC at a density of 2 x [10.sup.5] cells per well to each of 2 antibody-coated plates and incubated them either in media only or in the presence of antigen for 18-20 h at 37[degrees]C: final concentration for B. pseudomallei was 88 [micro]g/mL; for B. thailandensis, 78 [micro]g/mL; for BTCV, 83 [micro]g/mL; and for purified protein derivative (PPD), 20 [micro]g/mL. We added 1 [micro]g/mL of detector antibody and incubated for 3 h at room temperature, then for 2 h with streptavidin-conjugated ALP at room temperature. We used the AP Conjugate Substrate Kit (Bio-Rad, https://www. bio-rad.com) to develop spots for up to 20 min. We analyzed plates on the CTL ELISpot Reader (CTL Analyzers, http://www.immunospot.com) using the proprietary Smartcount automated settings. Results were reported as spot-forming units (SFU) per million PBMC. Background (PBMC in media only) responses in unstimulated control wells were typically <20 spots and were subtracted from those measured in antigen-stimulated wells. We used phytohemagglutinin (PHA) at a concentration of 10 [micro]g/mL as a positive control.

WBA

For antigen stimulation, we added 500 pL heparinized blood to a 5 mL polystyrene round-bottom tube (Corning, https://www.corning.com) containing a final concentration of 1 [micro]L/mL anti-human CD28 and CD49d (Becton Dickinson, https://www. bd.com), along with B. pseudomallei, B. thailandensis, or BTCV antigens, all at a final concentration of 1 mg/mL. We used staphylococcal enterotoxin B (SEB) at a final concentration of 10 [micro]g/mL as positive control and RPMI medium supplemented with 10% fetal bovine serum (FBS) (R10 medium) as negative control. We incubated the tubes at 37[degrees]C, 5% C[O.sub.2], 95% humidity. After 18 h, we added a final concentration of 10 [micro]L/mL Brefeldin A (eBioscience, https://www.thermofisher.com) and incubated the assay for another 4-5 h under the same conditions. We then incubated samples with Live/Dead (LD) Fixable Near-IR Dead Cell Stain (Life Technologies, https://www.thermofisher.com) according to the manufacturer's instructions, followed by a single 10-min incubation with FACS Lysing solution at room temperature for red cell removal (Becton Dickinson). We cryopreserved lysed blood cells in FBS with 10% dimethylsulfoxide (DMSO) (Sigma Aldrich, https://www.sigmaaldrich.com) and stored at -80[degrees]C until flow cytometry staining.

Flow Cytometry

We thawed frozen cells at 37[degrees]C and washed them twice with R10 medium, then fixed for 20 min followed by 5 min of permeabilization using BD Cytofix/Cytoperm kit (Becton Dickinson). Then, we stained samples with fluorescently labeled human antibodies for 20 min on ice in the dark: CD3-PerCP (clone: UCHT1; BioLegend, https://www.biolegend.com), CD4-V450 (clone: L200, Becton Dickinson), CD8-BV510 (clone: RPA-T8; BioLegend), CD56-VioBrightFITC (clone: AF12-7H3; Miltenyi Biotec, https://www.miltenyibiotec.com), and IFN-[gamma]-PE (clone: 4S.B3; BioLegend). We then analyzed using a MACSQuant Analyzer 10 (Miltenyi Biotec) and performed flow cytometry analysis using FlowJo software version 10.2 on Mac OS X (Becton Dickinson, https://www.flowjo.com).

Statistical Analysis

The outcomes of interest were correlation between level of immune responses (measured by IHA titers, optical density of IgM and IgG by ELISA and levels of cytokine-producing cells, and IFN-[gamma] SFU) against 3 antigens: B. pseudomallei, B. thailandensis, and BTCV. We used Spearman's correlation coefficient (p) to determine the correlation between the levels of immune responses against the 3 antigens. We compared ordinal and continuous variables using a nonparametric Mann-Whitney test (comparing 2 independent groups) and Wilcoxon matched-pairs signed rank test (comparing multiple tests on matched cases). We performed all statistical tests using GraphPad Prism version 7.0b for Mac OS X (GraphPad Software, https:// www.graphpad.com).

Results

Participants

We enrolled a total of 100 patients with culture-confirmed melioidosis during April 2016-November 2017 into the melioidosis cohort. We excluded 1 patient because of a positive concurrent diagnosis of tuberculosis. We recruited participants at a median of 5 days after admission (interquartile range [IQR] 4-6 days) (Table 2). Diabetes was an underlying condition for two thirds (67%) of the melioidosis cohort. The overall 28-day mortality rate was 30% (30/99), with no significant difference (p = 0.9) for patients with and without diabetes.

Humoral Immune Responses by IHA against B. pseudomallei, B. thailandensis, and BTCV

We observed seropositivity against B. pseudomallei in 58% (42/73) of the melioidosis cohort, 26% (9/35) of HH, 7% (4/54) of DM, and none (0/10) of OGNI. The median IHA titer against B. pseudomallei in the melioidosis cohort (median 1:80, interquartile range [IQR] 1:10-1:320) was higher than that from all control cohorts (HH, median [less than or equal to] 1:10, IQR [less than or equal to] 1:10-1:80; DM and OGNI, median [less than or equal to] 1:10, IQR <1:10-1:10; p<0.01). We observed detectable IHA titer against BTCV only in the melioidosis cohort (median 1:80, IQR 1:10-1:320); this result was significantly higher than that for all control cohorts (p<0.01) (Figure 1). We observed strong correlation between B. pseudomallei and BTCV IHA in the melioidosis cohort ([rho] = 0.96; p<0.01) and the HH cohort ([rho] = 0.84; p<0.01). We observed moderate correlation between B. pseudomallei and B. thailandensis IHA ([rho] = 0.53; p<0.01) only in the melioidosis cohort (Appendix Table 1, https://wwwnc.cdc.gov/EID/ article/26/3/19-0206-App1.pdf). We detected no responses against B. thailandensis in any of the other cohorts (median [less than or equal to] 1:10).

Humoral Immune Responses by IgG and IgM ELISA against B. pseudomallei, B. thailandensis, and BTCV

The melioidosis cohort showed significantly higher IgG responses to B. pseudomallei (median of optical density [OD] = 1.42), B. thailandensis (median OD = 1.12), and BTCV (median OD = 1.43) than any of the control cohorts (p<0.01) (Figure 2, panel A). IgM responses to B. pseudomallei (median OD = 0.48) in the melioidosis cohort, similar to IgG responses, were higher than the control cohorts (median OD ranges 0.19-0.28, p[less than or equal to]0.02). In contrast, IgM responses to B. thailandensis and BTCV in the melioidosis cohort were similar to responses in the HH cohort but higher than those in DM and OGNI (p<0.05) (Figure 2, panel B). In the melioidosis cohort, we observed a strong correlation from both IgM and IgG responses between B. pseudomallei, B. thailandensis, and BTCV ([rho]>0.9; p<0.01) (Appendix Tables 2, 3).

Interferon-[gamma] ELISpot Responses to B. pseudomallei, B. thailandensis, and BTCV

Quantitatively, IFN-[gamma] responses against B. pseudomallei in the melioidosis and HH cohorts were significantly higher than those for the DM and OGNI cohorts (p<0.03). We observed similar outcomes in the responses to B. thailandensis and BTCV (Figure 3). Of interest, the melioidosis and HH cohorts showed comparable IFN-[gamma] responses against B. pseudomallei and B. thailandensis, but not to BTCV (p = 0.02) (Figure 3). In the melioidosis cohort, we observed strong correlations between IFN-[gamma] responses to B. pseudomallei, B. thailandensis, and BTCV ([rho]>0.9; p<0.01). We observed similar correlations ([rho]>0.7; p<0.01) for the HH, OGNI, and DM cohorts (Appendix Table 4).

Cellular Immune Responses to B. pseudomallei, B. thailandensis, and BTCV by Whole-Blood Stimulation Assay Using Flow Cytometry

To determine the contribution of CD4 T, CD8 T, DN T, and NK cells to total IFN-[gamma] responses in the melioidosis and HH cohorts, we performed multicolor flow cytometry on WBA samples. In the melioidosis cohort, about half of the IFN-[gamma] responses, on average, came from CD4 T cells for all 3 Burkholderia antigens (Figure 4), which was significantly higher than for the HH cohort (p<0.03), suggesting a strong contribution of antigen-specific memory responses (Appendix Figure 1, panels A, E). In contrast, the IFN-[gamma] responses in the HH cohort were primarily driven by NK cells (about one third), followed by a balanced mix of DN T, CD4 T, and other cells (Figure 4). In particular, the contribution of IFN-[gamma] responses from DN T cells against all Burkholderia antigens in the HH cohort was significantly higher than in the melioidosis cohort (p<0.01) (Appendix Figure 1, panel C). In the melioidosis cohort, we observed a strong correlation of IFN-[gamma] responses against B. pseudomallei, B. thailandensis, and BTCV in CD4 T cells ([rho]>0.8; p<0.01) (Appendix Table 5). In contrast, the HH cohort showed strong correlation between IFN-[gamma] responses toward B. pseudomallei, B. thailandensis, and BTCV in CD8 T and NK cells ([rho]>0.9; p<0.01) (Appendix Table 6).

Discussion

Our results demonstrate that melioidosis patients show strong humoral and cellular cross-immunity between the pathogenic B. pseudomallei and the less pathogenic B. thailandensis and BTCV. On the other hand, the HH cohort and control cohorts in general had relatively low humoral immune responses to all 3 Burkholderia antigens but profound cellular immune responses. We showed that just over half of the acute melioidosis patients were positive by IHA; previous work in our group has shown that a significant proportion (12.6%) of melioidosis patients never seroconvert (16). We do not have enough information to confirm whether the persistence of seropositivity against B. pseudomallei in healthy persons is associated with latent infection or with successful clearance of B. pseudomallei after exposure events.

Seropositivity against B. pseudomallei is associated with repeated environmental exposure to the organism (19). In addition, a recent epidemiologic study showed high prevalence of environmental

B. pseudomallei in rice paddy fields across multiple regions of Thailand, especially in the east (6). Subsequent serologic responses against B. pseudomallei in healthy rice farmers are associated with exposure to environmental B. pseudomallei rather than B. thailandensis and BTCV (20); the cause could be a higher prevalence of B. pseudomallei. It is impossible to distinguish between the serologic responses to B. pseudomallei and BTCV because CPS components are highly cross-reactive (9).

Humoral immune responses against CPS components have been found to be associated with protection against experimental melioidosis in mice (22,23). In a previous study, Tiyawisutsri et al. used modified IHA to detect cross-reactivity between B. pseudomallei, B. thailandensis, and B. mallei, the causative agent of glanders, in melioidosis patients (24). Tiyawisutsri et al. reported poor cross-reactivity between B. pseudomallei and B. thailandensis and saw cross-reactivity to B. mallei, which expresses similar CPS components (24,25). Consistent with these findings, we report strong cross-reactivity between B. pseudomallei and BTCV, and to a lesser extent to B. thailandensis in the melioidosis and HH cohorts. Moreover, we suggest that the IHA responses may be primarily specific to CPS components that are not present in B. thailandensis (9). We explored the humoral responses by IgM and IgG; we report strong IgG responses in acute melioidosis patients but marginal IgM responses. A possible cause of the low IgM responses in acute melioidosis patients is that disease onset occurred some time before admission; reported incubation period is 1-21 days (26). Another possibility is that preexisting immunity to B. pseudomallei resulted in a burst of IgG responses around the time of study enrollment, which is consistent with a previous report (27). Thus, the IgG ELISA could be an improved diagnostic method for melioidosis (28).

Cell-mediated immune responses by IFN-[gamma] and type I immune responses (e.g., interleukin [IL] 12, IL-18, tumor necrosis factor a) are essential for the host immune system in fighting against intracellular infections (29-31). Nithichanon et al. showed that most of an exposed healthy population has acquired cellular immunity against broad immunogenic B. pseudomallei epitopes (32). Our IFN-[gamma] ELISpot experiments suggest that both melioidosis patients and HH contacts engage strong cross-immune IFN-[gamma] responses between B. pseudomallei, B. thailandensis, and BTCV, despite low humoral responses in the HH cohort. The IFN-[gamma] responses predominantly from T cells during melioidosis are associated with protection and survival against B. pseudomallei infection (13). We demonstrate that IFN-[gamma] responses to all 3 antigens are a mix of T and NK cell responses, with different contribution of T-cell subsets in the melioidosis cohort compared with the HH cohort. Whereas melioidosis patients predominantly exhibit CD4 T-cell IFN-[gamma] responses, the HH cohort is characterized by a mix of double negative and CD4 T-cell responses and increased NK cell responses, suggesting an innate or innate-like driven immune response.

Low-dose exposure to B. pseudomallei in healthy persons may also contribute to immune responses. B. pseudomallei-specific cellular immunity in seronegative healthy participants showed detectable IFN-[gamma] ELISpot responses in some subjects to virulent factors in B. pseudomallei, such as bopE (Type III secreted protein), pilO (Type IV pilus biosynthesis protein), and flgK (flagellar hook-associated protein) (12). Another possibility would be cross-reactivity to other gram-negative bacteria, as demonstrated by some OGNI participants exhibiting high IFN-[gamma] responses to whole-cell heat-killed Burkholderia antigens (Figure 3).

In a previous study in this population, we demonstrated that acute melioidosis patients elicited strong cellular immune responses in both the CD4 and CD8 T-cell compartments (13). Cellular immune responses by CD4 T cells against B. pseudomallei antigen (AhpC) have been associated with survival (33). HIV positivity does not seem to be a major risk factor for melioidosis; a surge in melioidosis incidence and severity was not seen during the HIV epidemic in the 1990s in Thailand (34) although cases of tuberculosis and other opportunistic infections such as cryptococcal meningitis did increase. During this time, 2.8% (95% CI 0.8%-4.7%) of 286 patients in Ubon Ratchathani with B. pseudomallei tested positive for HIV, compared with 0.6%-1.1% of blood donors, but this difference was not significant (35). However, HIV infection is known to increase the risk for other gram-negative infections, such as Salmonella and Escherichia coli, and it is likely that a relationship between HIV and melioidosis could be demonstrated by sufficiently powered studies. To date, host immune responses by CD4 T cells in HIV-positive persons with melioidosis remain unknown. Host immune responses during acute melioidosis associated with survival have been shown to be dominated by CD8 T and NK cells (36,37), and some redundancy may occur to allow compensation of low CD4 counts in HIV.

In conclusion, patients with melioidosis in Thailand demonstrate immune cross-reactivity between B. pseudomallei, B. thailandensis, and BTCV in both humoral and cellular immune compartments. Healthy persons who live in melioidosis-endemic areas, on the other hand, primarily demonstrate cellular immune cross-reactivity. We recommend further investigation of human immune responses in healthy persons where the less pathogenic strains are prevalent, such as in the central and eastern parts of Thailand (20). It is possible that exposure to the less virulent B. thailandensis and BTCV generates immune cross-reactivity, which could confer some protection against melioidosis. Nevertheless, cross-protection against B. pseudomallei infection through immune cross-reactivity in humans requires further study. Understanding the consequences of naturally acquired immunity to B. pseudomallei or B. thailandensis variants in previously exposed populations is particularly needed for the development of an efficacious vaccine.

Acknowledgments

We thank all the participants and staff at Sunpasitthiprasong Hospital. We thank Premjit Amornchai, Sayan Langla, Weerawat Wongasa, Ampai Tanganuchitcharnchai, and Widanan Khumhaeng for their laboratory and administrative support.

The authors declare no conflicts of interest.

P. R. was supported by a Master's Fellowship in Public Health and Tropical Medicine by the Wellcome Trust (108395/Z/15/Z). S.J.D. is grateful for the support of a Wellcome Trust Intermediate Clinical Fellowship award (ref. WT100174/Z/12/Z).

Mr. Rongkard is doctoral candidate at the Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK. His current research interests focus on the immunology of tropical infectious diseases, particularly melioidosis.

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Address for correspondence: Susanna J. Dunachie, University of Oxford-Tropical Medicine, Peter Medawar Building for Pathogen Research, South Parks Rd, Oxford, OX1 3SY, UK; email: susie.dunachie@ndm.ox.ac.uk

Patpong Rongkard, Barbara Kronsteiner, Viriya Hantrakun, Kemajittra Jenjaroen, Manutsanun Sumonwiriya, Panjaporn Chaichana, Suchintana Chumseng, Narisara Chantratita, Vanaporn Wuthiekanun, Helen A. Fletcher, Prapit Teparrukkul, Direk Limmathurotsakul, Nicholas PJ. Day, Susanna J. Dunachie

Author affiliations: University of Oxford, Oxford, UK (P. Rongkard, B. Kronsteiner, N.P.J. Day, S.J. Dunachie); Mahidol-Oxford Tropical Medicine Research Unit, Bangkok, Thailand (P. Rongkard, V. Hantrakun, K. Jenjaroen, M. Sumonwiriya, P. Chaichana, S. Chumseng, N. Chantratita, V. Wuthiekanun, D. Limmathurotsakul, N.P.J. Day, S.J. Dunachie); Mahidol University, Bangkok (N. Chantratita, D. Limmathurotsakul); London School of Hygiene and Tropical Medicine, London, UK (H.A. Fletcher); Sunpasitthiprasong Hospital, Ubon Ratchathani, Thailand (P. Teparrukkul)

DOI: https://doi.org/10.3201/eid2603.190206

(1) Preliminary results from this study were presented at the European Melioidosis Congress, March 19-21, 2018, Oxford, UK.

Caption: Figure 1. Humoral immune responses to Burkholderia pseudomallei, B. thailandensis, and BTCV by indirect hemagglutination assay, Thailand. IHA titers are shown for acute melioidosis patients (n = 73) and 3 control cohorts, HH (n = 35), DM (n 54), and OGNI (n = 10), against culture-filtrate antigen of B. pseudomallei, B. thailandensis, and BTCV. Each symbol represents an IHA titer response from a patient. Dotted line indicates the IHA cutoff titer for seropositivity. Medians (horizontal lines) and interquartile ranges (error bars) are provided. p values were calculated by using the nonparametric Mann Whitney test. Horizontal bars at top of figure indicate comparisons across cohorts. BTCV, B. thailandensis CPS variant; CPS, capsular polysaccharide; DM, patients with diabetes mellitus; HH, healthy household contacts of the melioidosis case-patients; IHA, indirect hemagglutination assay.

Caption: Figure 2. Human humoral immune responses to Burkholderia pseudomallei, B. thailandensis, and BCTV by IgG and IgM ELISAs, Thailand. IgG-specific (A) and IgM-specific (B) responses are shown for acute melioidosis patients (n = 73) and 3 control cohorts, HH (n = 35), DM (n = 54), and OGNI (n = 10), against culture-filtrate antigen of B. pseudomallei, B. thailandensis, and BTCV. Each symbol represents an IgM or IgG antibody response from a patient. Medians (horizontal lines) and interquartile ranges (error bars) are shown. p values were calculated by using the nonparametric MannWhitney test. Horizontal bars at top of figure indicate comparisons across cohorts. BTCV, B. thailandensis CPS variant; CPS, capsular polysaccharide; DM, patients with diabetes mellitus; HH, healthy household contacts of melioidosis case-patients.

Caption: Figure 3. Ex vivo IFN-[gamma] ELISpot responses to Burkholderia pseudomallei, B. thailandensis, and BTCV, Thailand. IFN-[gamma] responses were quantified for acute melioidosis patients (n = 82) and 3 control cohorts: HH, n = 93), diabetic patients (DM, n = 95), and patients with other gram-negative infections (OGNI, n = 42) against whole-cell heat-killed antigens of Burkholderia pseudomallei (BP, red dots), Burkholderia thailandensis (BT, green diamonds), and Burkholderia thailandensis CPS variant (BTCV, blue triangles) are shown. Each symbol represents the average number of SFU per subject. Medians (horizontal lines) and interquartile ranges (error bars) are shown. p values were calculated by using the nonparametric Mann-Whitney test. Horizontal bars at top of figure indicate comparisons across cohorts. BTCV, B. thailandensis CPS variant; CPS, capsular polysaccharide; DM, patients with diabetes mellitus; HH, healthy household contacts of melioidosis case-patients; IFN-[gamma], interferon-[gamma]; NS, not significant; SFU, spot-forming units.
Table 1. Proportions of samples from 4 patient and control cohorts
used to evaluate immune responses to melioidosis, Thailand *

                                         No. (%) samples by assay

Cohort                                IHA or    IFN-[gamma]     WBA
                                       ELISA      ELISpot

Melioidosis, n = 99                   73 (74)     82 (83)     13 (13)
Healthy household contacts, n = 96    35 (36)     93 (97)      8 (8)
Diabetes control, n = 98              54 (55)     95 (97)       NA

Other gram-negative bacterial         10 (20)     42 (88)       NA
infections, n = 48

* IFN-[gamma] ELISpot, interferon-[gamma] enzyme-linked
immunospot assay; IHA, indirect hemagglutination assay; NA,
not available; WBA, whole-blood stimulation assay.

Table 2. Characteristics of patients and controls in study of immune
responses to melioidosis and cross-reactivity to low-virulence
Burkholderia species, by cohort, Thailand *

                            Cohort
Baseline                 Melioidosis,    Healthy controls,
characteristics             n = 99             n = 96

Sex

  M                         63 (64)           27 (28)
  F                         36 (36)           69 (72)
Age, y, median (range)    55 (20-84)         48 (25-69)
Diabetes ([dagger])         66 (67)              NA
Died ([double dagger])      30 (30)              NA
Survived                    69 (70)              NA

Baseline                 Diabetes controls,     Other gram-negative
characteristics               n = 98 *         bacterial infections,
                                                       n = 48
Sex

  M                            25 (26)                27 (56)
  F                            73 (74)                21 (44)
Age, y, median (range)       53 (41-60)              64 (24-95)
Diabetes ([dagger])           98 (100)                   NA
Died ([double dagger])           NA                      NA
Survived                         NA                      NA

* Values are no. (%) except as indicated.

([dagger]) Includes patients who were previously diagnosed with
diabetes or who have a hemoglobin A1C level >6.5% at time of
recruitment.

([double dagger]) Died within 28 days of study enrollment.

Figure 4. Cellular immune
responses to Burkholderia
pseudomallei, B.
thailandensis, and BTCV
by whole blood stimulation
assay using flow cytometry
between melioidosis patients
and healthy persons in B.
pseudomallei-endemic
areas, Thailand. Whole blood
samples from 14 patients
with acute melioidosis and 8
HH contacts were stimulated
with culture-filtrate antigens
of B. pseudomallei, B.
thailandensis, BTCV, and SEB
(positive control). Frequencies
of CD4, CD8, and DN T cells;
NK cells; and other cells
within total IFN-[GAMMA]-producing
cells are shown. Medians
were used to generate each vertical slice graph. BTCV,
B. thailandensis CPS variant; CPS, capsular polysaccharide;
DM, patients with diabetes mellitus; DN, double negative
(CD4-CD8-); HH, healthy household contacts of melioidosis
case-patients; IFN-[gamma], interferon-[gamma];
SEB, Staphylococcus enterotoxin B.

                     CD4 T      CD8        DN        NK      Other
                     cells    T cells    T cells   cells     cells
Melioidosis

B. pseudomallei    43.40%      11.10%     4.30%     23.40%    17.80%
B. thallandensis   42.24%       8.11%     4.00%     25.23%    19.24%
BTCV               51.30%       7.20%     4.90%     22.40%    14.20%
SEB                29.23%      28.53%     11.21%     8.61%    22.42%

HH

B. pseudomallei    19.10%       9.10%    21.70%     32.30%    17.80%
B. thallandensis   23.10%      10.50%    20.70%     27.90%    17.80%
BTCV               24.80%      10.50%    18.50%     29.10%    17.10%
SEB                28.87%      18.48%    10.79%     16.68%    25.17%

Note: Table made rom bar graph.
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Title Annotation:RESEARCH
Author:Rongkard, Patpong; Kronsteiner, Barbara; Hantrakun, Viriya; Jenjaroen, Kemajittra; Sumonwiriya, Manu
Publication:Emerging Infectious Diseases
Article Type:Report
Geographic Code:9THAI
Date:Mar 1, 2020
Words:6062
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