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. 2017 Apr 10;7:46191. doi: 10.1038/srep46191

Increased Serum Hyaluronic Acid and Heparan Sulfate in Dengue Fever: Association with Plasma Leakage and Disease Severity

Tommy Hing-Cheung Tang 1,a, Sylvie Alonso 2, Lisa Fong-Poh Ng 3, Tun-Linn Thein 4, Vincent Jun-Xiong Pang 4,5, Yee-Sin Leo 4,5,6, David Chien-Boon Lye 4,6, Tsin-Wen Yeo 4,7,b
PMCID: PMC5385535  PMID: 28393899

Abstract

Plasma leakage is a major pathogenic mechanism of severe dengue, but the etiology remains unclear. The association between endothelial glycocalyx integrity and vascular permeability in older adults with dengue has not been evaluated. A prospective cohort study of adults with undifferentiated fever screened for dengue by RT-PCR or NS1 antigen testing was performed. Patients were assessed daily while symptomatic and at convalescence. Serum hyaluronic acid (HA), heparan sulfate (HS) and selected cytokines (TNF-α, IL-6, IL-10) were measured on enrollment and convalescence. Patients were diagnosed as dengue fever (DF, n = 30), dengue hemorrhagic fever (DHF, n = 20) and non-dengue (ND) febrile illness (n = 11). Acute HA and HS levels were significantly higher in all dengue patients compared to ND (p = 0.0033 and p = 0.0441 respectively), but not different between DF and DHF (p = 0.3426 and p = 0.9180 respectively). Enrolment HA inversely correlated with serum albumin, protein and platelets in all dengue and DHF (p < 0.05). HA and HS in all dengue patients decreased significantly at convalescence. Serum IL-10 was significantly associated with HA in all dengue patients (p = 0.002). Serum HA and HS levels were increased in adult dengue and HA was associated with markers of disease severity. Endothelial glycocalyx damage may have a role in vascular leakage in dengue.

Dengue is the most common and rapidly spreading arthropod borne virus, responsible for an estimated 96 million cases globally in 20131. In the last half-century, it has become endemic in many tropical areas and a major public health problem in South-East Asia1,2,3. Increasing migration, travel and global warming suggests dengue may extend to newer areas in the future, with increased incidence from temperate areas including parts of Europe and the United States of America.

Dengue is a systemic febrile illness caused by 4 serotypes of the dengue virus (DENV-1-4) under the genus Flavivirus1,2. Most DENV infections are mild or asymptomatic; however, a small proportion can develop severe disease. The 1997 and 2009 World Health Organization (WHO) guidelines classified dengue into several subgroups according to severity; those without complications are diagnosed with dengue fever (DF), while those with more severe disease are classified as dengue hemorrhagic fever (DHF) or severe dengue (SD)4,5. In both the 1997 and 2009 classifications, plasma leakage is a major criteria in the definition of DHF and SD4,5. Historically, complicated dengue had a fatality rate as high as 20%6, which was reduced to less than 1% with current management which focuses on adequate fluid replacement1,2. However, the low fatality rate should not be underestimated when considering the large global burden of disease3.

Currently, the pathogenesis of DHF is still not fully understood. Pathophysiological studies of children with dengue shock 50 years ago and recent reports suggest transient increased microvascular permeability and plasma leakage are major pathogenic mechanisms6,7. In vitro studies of dengue have shown viral replication or increased pro-inflammatory cytokines result in endothelial cell damage with increased vascular permeability8,9,10. Recent studies also suggest the DENV nonstructural protein 1 (NS1) may also play an important role in these pathological changes. In a murine model, NS1 was shown to directly increase inflammatory cytokine production and disrupt endothelial cell integrity via a Toll-like receptor 4 (TLR4) mediated mechanism11,12. In addition, NS1 from all four dengue serotypes was demonstrated to induce human endothelial cell dysfunction and increase permeability in vitro12.

The glycocalyx is a carbohydrate-rich layer covering the vascular luminal endothelium consisting of a network of interlinked molecules including proteoglycans, glycoproteins, glycosaminoglycans (GAGs) and plasma proteins13,14. It functions as a semipermeable barrier regulating flow between plasma and interstitial fluid13. Hyaluronic acid (HA) and heparan sulfate (HS) are two major constituents of the glycocalyx and break down of these proteoglycans in vitro result in increased plasma flow into the interstitium13. Pro-inflammatory cytokines including TNF-α, IL-6 and IL-10 which are elevated in dengue can cause glycocalyx shedding13,14. An in vitro study demonstrated NS1 can also affect glycocalyx integrity by increasing expression of endothelial enzymes such as heparanase15. In dengue, pediatric studies from Vietnam and Thailand reported increased urinary excretion of HS, and increased serum levels of HA respectively at the time of diagnosis in DSS16,17. A study of adolescents from Vietnam found increased HS levels in early dengue but did not compare this to a control group18. However none of these studies assessed the levels of glycocalyx constituents in older adults with dengue of varying severity or compared this to non-dengue febrile illness.

To investigate the relationships among endothelial glycocalyx, cytokine levels and disease severity in dengue, we conducted a prospective longitudinal study to measure serum HA, HS, IL-6, IL-10 and TNF-α concentrations in adults diagnosed with dengue and other acute febrile illness. We hypothesized that i) HA and HS levels will be higher in dengue compared to non-dengue patients on enrolment, ii) HA and HS levels will be associated with markers of disease severity including albumin and platelets and iii) HA and HS will be associated with pro-inflammatory cytokine levels.

Methods

Ethics Statement

The National Healthcare Group Domain Specific Review Board (DSRB-E-2009/432), Singapore approved this study. Written informed consent was taken from enrolled patients and all data were anonymized. All research activities were performed in accordance to study protocol approved by our institutional review board.

Participants

Between January 2010 to June 2011, adult patients (≥18 years) with acute undifferentiated fever were enrolled as part of a prospective study at the Infectious Disease Research Clinic, Communicable Disease Center, Tan Tock Seng Hospital (TTSH), Singapore as previously reported19. Patients were referred from emergency departments or primary care clinics. Epidemiological and clinical data, vital signs and blood samples were collected on standardized data collection forms at enrollment. Epidemiological data included age, gender and ethnicity, clinical data included pre-existing co-morbidities, date of fever onset, symptoms and signs and vital signs included temperature, pulse rate, erect and supine blood pressure.

Patients were followed up daily during the acute febrile and critical phases (up to 7 days from enrollment) and once at convalesce (21–30 days from enrollment). During follow ups and hospitalization, if any, they were reassessed for clinical symptoms and signs.

Sample Collection and Testing

Dengue virus was detected by real-time polymerase chain reaction (RT-PCR), a two-stage real-time reverse transcriptase polymerase chain reaction comprising screening using SYBR green followed by a tetraplex probe-based serotype detection assay20, or NS1 antigen test by Platelia™ NS1 ELISA (Bio-Rad Laboratories, Marnes-la-Coquette, France)20,21 on serum samples at patients’ first visit. Dengue serology was tested by Panbio® Dengue IgG Indirect, IgG Capture, and IgM Capture ELISAs (Alere Inc., Waltham, MA, USA). Serum samples for HA and HS were taken at enrollment and at convalescence (21–30 days from enrollment). They were processed on the day of collection and stored in a freezer at −70 degrees centigrade. Serum HA and HS was measured by ELISA (Echelon Biosciences, Salt Lake City, Utah, and TSZ Elisa, Massachusetts, USA respectively), and selected serum cytokines including IL-6, IL-10 and TNF-α were measured by Procarta® multiplex immunoassay (Affymetrix, eBioscience, USA). Hematology and biochemistry tests were performed at the Department of Laboratory Medicine (DLM), TTSH.

Clinical Definitions

Dengue was confirmed with a positive serum RT-PCR or NS1 antigen test. Classification of final dengue status was according to the WHO 1997 definitions. DHF was defined by a history of fever, platelet count <= 100 × 109/L, hemorrhagic manifestations, and plasma leakage4. Plasma leakage was defined as hematocrit elevation by >=20% on serial daily monitoring or follow up, or signs such as pleural effusion, ascites, or hypoproteinemia/hypoalbuminemia. Dengue shock syndrome (DSS) was defined by a pulse rate >100/min and a narrowed pulse pressure <20 mmHg; or DHF with systolic blood pressure <90 mmHg. As previously described22, confirmed cases with samples that are negative by IgG indirect or capture assay during the acute phase were classified as primary cases. An acute sample positive by IgG Capture or an early acute (on or before day 5 of illness) sample positive by IgG Indirect defined secondary infection status in confirmed dengue cases.

For analysis, patients were categorized into 3 subgroups: (i) acute undifferentiated febrile illness with negative RT-PCR or NS1 tests for dengue (non-dengue (ND) subgroup), (ii) dengue fever (DF subgroup) and (iii) DHF (DHF subgroup).

Statistical Analysis

In descriptive analyses, number and percentage were used for categorical variables. Median and interquartile range (IQR) were used for continuous variables. Pearson correlation coefficient and Spearman’s rank correlation coefficient were determined according to distribution of values. For comparison of specific groups, chi-squared test, Wilcoxon rank sum test, and Kruskal-Wallis rank sum test were used appropriately.

Statistical tests were carried out in R version 3.31 (R Foundation for Statistical Computing, Vienna, Austria) and GraphPad Prism version 7.0a (GraphPad Software, La Jolla California USA) with 5% level of significance and two-tailed p values.

Results

Clinical, Hematological, Biochemical and Microbiological Results

Sixty-one patients were recruited from January 2010 to June 2011 and the demographic, clinical and laboratory results are detailed in Table 1.

Table 1. Clinical and biochemical parameters at enrolment.

Categories DHF (n = 20) DF (n = 30) Non-dengue acute febrile illness (n = 11) p value
Age, years (median, IQR) 42 (34.75–45.00) 33 (28–38) 30 (25–41) 0.010^
Male (number, percentage) 16 (80%) 28 (93.33%) 7 (63.64%) 0.065*
Chinese ethnicity (number, percentage) 17 (85%) 25 (83.33%) 7 (63.64%) 0.041*
Co-morbidities (number, percentage) 1 (5%) 0 (0%) 0 (0%) 0.353*
Hospitalization (number, percentage) 16 (80%) 10 (33.33%) 2 (18.18%) <0.001*
Use of IV fluid (number, percentage) 14 (70%) 9 (30%) 1 (9.09%) 0.022*
Positive DENV RT-PCR (number, percentage) 18 (90%) 27 (90%) 0 (0%) <0.001*
DENV RT-PCR crossing point (Cp) value 24.56 (20.63–28.4) 25.89 (22.62–29.04) NA 0.348#
Positive dengue NS1 antigen test (number, percentage) 18 (90%) 28 (93.33%) 0 (0%) <0.001*
Predominant serotype (serotype, number, percentage) DENV2 (14, 70%) DENV2 (23, 76.67%) NA 0.790#
Secondary infection rate (number, percentage) 15 (75%) 18 (60%) NA 0.428#
Day of fever on enrolment (median, IQR) 5 (4–5) 5 (4–5) 5 (4–5) 0.98*
Temperature, degrees Celsius on enrolment (median, IQR) 37.60 (37.10–38.00) 37.35 (37.03–38.05) 37 (36.75–37.30) 0.096^
Supine SBP, mmHg (median, IQR) 113.5 (110.75–116.25) 116.0 (110.0–120.0) 118.0 (112.5–122.0) 0.550^
Supine DBP, mmHg (median, IQR) 72 (62.25–75.25) 69 (65.00–74.75) 71 (65.50–76.50) 0.964^
Erect SBP, mmHg (median, IQR) 110 (103.50–116.25) 108.5 (101.0–114.75) 127.0 (106.5–132.5) 0.128^
Erect DBP, mmHg (median, IQR) 70 (67.0–78.0) 69 (65.0–75.0) 75 (71.5–80.0) 0.195^
Pulse rate (median, IQR) 76.5 (68.0–85.0) 79.5 (70.25–85.5) 76.0 (63.0–77.0) 0.305^
Haemoglobin g/dL (median, IQR) 14.9 (14.40–15.50) 15.1 (14.63–16.03) 14.7 (14.35–15.50) 0.318^
Haematocrit, percentage (median, IQR) 43.15 (41.45–45.63) 44.15 (42.43–47.03) 42.80 (41.45–45.20) 0.326^
Leukocyte x109/L (median, IQR) 2.30 (1.98–2.78) 2.45 (1.88–3.08) 4.10 (3.15–4.70) <0.001^
Neutrophil x109/L (median, IQR) 1.37 (1.12–1.91) 1.22 (0.96–2.03) 2.10 (1.22–2.50) 0.251^
Lymphocyte, x109/L (median, IQR) 0.50 (0.45–0.61) 0.60 (0.49–0.79) 1.04 (0.86–1.61) <0.001^
Platelet, x109/L (median, IQR) 71.0 (35.0–92.0) 100.5 (79.0–127.5) 112.0 (100.5–145.0) <0.001^
Creatinine, μmol/L (median, IQR) 72.0 (64.25–79.75) 78.5 (68.25–88.25) 76.0 (60.00–90.00) 0.395^
Serum total protein, g/L (median, IQR) 63.0 (60.25–70.25) 70.0 (66.25–72.00) 70.5 (69.00–74.75) 0.016^
Serum albumin, g/L (median, IQR) 37.0 (31.75–39.25) 40.0 (38.00–42.00) 39.5 (38.25–40.00) 0.017^
Serum globulin, g/L (median, IQR) 26.0 (25.75–31.00) 30.0 (28.00–32.00) 31.5 (30.00–32.75) 0.038^
Serum AST, IU/L (median, IQR) 52 (36.00–81.75) 48 (31.25–74.50) 67 (32.00–101.00) 0.744^
Serum ALT, IU/L (median, IQR) 34 (20.50–51.75) 30 (20.25–50.50) 65 (41.00–92.50) 0.048^
Serum PT, second (median, IQR) 12.9 (12.15–13.33) 12.9 (12.25–13.65) 13.0 (12.35–13.80) 0.755^
Serum aPTT, second (median, IQR) 36.05 (33.15–39.78) 35.40 (33.03–37.83) 31.30 (28.25–32.75) <0.001^
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Abbreviations: DHF, dengue hemorrhagic fever (DHF was defined by a history of fever, platelet count <= 100 × 109/L, hemorrhagic manifestations, and plasma leakage; plasma leakage was defined as hematocrit elevation by >=20% on serial daily monitoring or follow up, or signs such as pleural effusion, ascites, or hypoproteinemia/hypoalbuminemia); DF, dengue fever; RT-PCR, reverse transcription polymerase chain reaction; NS1, nonstructural protein 1; DENV-2, dengue serotype 2; NA, not available; IQR, interquartile range; IV, intravenous; SBP, systolic blood pressure; DBP, diastolic blood pressure; AST, aspartate aminotransferase; ALT, alanine transaminase; PT, prothrombin time; aPTT, activated partial thromboplastin time.

Chi-squared test*, Wilcoxon rank sum test#, and Kruskal-Wallis rank sum test^ were used for calculation of p values.

According to the WHO 1997 classification, there were 20 with DHF, 30 with DF and 11 with non-dengue febrile illness and 2 (4%) DHF patients had DSS. DENV RT-PCR or NS1 was positive in all dengue patients with serotype 2 (DEN-2) being the predominant strain. Seventy-five percent of DHF and 60% of DF were secondary infections. There was no significant difference in RT-PCR crossing point (Cp) values between DF and DHF groups (p = 0.348) and between primary infection and secondary infection (p = 0.0734). Among all dengue patients the median duration of fever at enrollment was 5 days (IQR 4–5 days). Twenty-eight patients (45.9%) required hospitalization during their illness with a significantly higher number in the DHF group (p < 0.001). The median hospital stay was 3 days (IQR 2.75–5.00 days), and all were managed according to hospital guidelines for dengue. There was a significant difference in usage of intravenous fluid treatment, with higher proportion (14 (70%) out of 20) in DHF patients (p = 0.022). One DHF patient had history of peptic ulcer as a reported co-morbidity and there were no fatalities during the study.

Hyaluronic Acid and Dengue Severity

Summary statistics of serum HA and HS are summarized in Table 2. On enrollment, HA levels were significantly higher in all dengue patients (DHF plus DF) compared to non-dengue febrile patients (p = 0.0033) (Fig. 1a). In dengue patients, acute HA levels in DHF patients were not significantly higher than the DF patients (p = 0.3426, Fig. 1b). When analyzed by day of illness, there were also no significant differences between DF and DHF patients enrolled on the third, fourth or fifth day of illness (first day of illness is defined as the day of fever onset). Acute serum HA was significantly higher in patients with secondary DENV infection when compared to those with primary infection (p = 0.0088, Fig. 1c). Patients enrolled on the fifth day of illness had significantly higher HA levels of HA compared to those enrolled on the fourth day, who correspondingly had higher concentrations than those enrolled on the third day, (Fig. 1d). With clinical recovery after discharge, there was a significant decrease in acute serum HA levels compared to convalescent serum HA levels in both DF and DHF groups (p < 0.001, Fig. 2a and b) but not in the non-dengue group (p = 0.6448).

Table 2. Serum hyaluronic acid, heparan sulfate and cytokines.

Categories DHF (n = 20) DF (n = 30) Non-dengue acute febrile illness (n = 11) p value
Acute serum HA, ng/mL (median, IQR) 935.91 (377.17–4193.12) 886.81 (231.78–2274.15) 117.08 (115.63–296.37) <0.001
Convalescent serum HA, ng/mL ng/mL (median, IQR) 100.11 (69.11–129.59) 89.89 (66.49–116.88) 100.86 (75.72–123.44) 0.913
Acute serum HS, ng/mL (median, IQR) 108.55 (62.99–126.97) 98.36 (77.80–120.56) 64.14 (54.28–95.07) 0.133
Convalescent serum HS, ng/mL (median, IQR) 16.78 (1.64–41.61) 32.24 (11.51–66.28) 95.07 (70.07–115.13) <0.001
Acute serum IL-6, pg/mL (binary logarithm) (median, IQR) 2.74 (1.64–3.93) 2.65 (1.78–5.86) NA* 1
Convalescent IL-6, pg/mL (binary logarithm) (median, IQR) 2.03 (1.35–3.38) 1.57 (0.64–2.88) NA* 0.470
Acute serum IL-10, pg/mL (binary logarithm) (median, IQR) 5.93 (3.22–8.53) 5.86 (1.69–12.60) NA* 0.497
Convalescent IL-10, pg/mL (binary logarithm) (median, IQR) 0.71 (0.50–0.75) 0.66 (0.48–0.86) NA* 0.452
Acute serum TNF-α, pg/mL (binary logarithm) (median, IQR) 2.85 (0.63–6.06) 3.62 (0.10–20.27) NA* 0.715
Convalescent TNF-α, pg/mL (binary logarithm) (median, IQR) 10.87 (4.44–18.41) 11.19 (1.95–15.49) NA* 0.795
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Abbreviations: DHF, dengue hemorrhagic fever; DF, dengue fever; NA, not available; IQR, interquartile range; HA, hyaluronic acid; HS, heparan sulfate; IL, interleukin; TNF-α, tumor necrosis factor alpha.

*No data in non-dengue patient and healthy control.

Figure 1.

Figure 1

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Serum hyaluronic acid (HA) levels in dengue subgroups: (a) Acute serum HA in non-dengue and all dengue patients (median, IQR), (b) Acute serum HA in non-dengue, DF and DHF subgroups (median, IQR), (c) Acute serum HA in patients with dengue primary and secondary infection (median, IQR), (d) Acute serum HA with respect to day of illness (first day of illness is defined as the day of fever onset; median, IQR).

Figure 2.

Figure 2

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Longitudinal trend of serum hyaluronic acid (HA) and heparan sulfate (HS) level: (a) Serum HA in DF group, (b) Serum HA in DHF group, (c) Serum HS in DF group (1 patient was excluded for outlying values), (d) Serum HS in DHF group.

Heparin Sulfate with Dengue Severity

Acute serum HS levels were significantly higher in all dengue patients compared to the ND group p = 0.0441 (Fig. 3a), but there was no significant difference between the DF and DHF patients (p = 0.9180, Fig. 3b). There were also no significant differences between DF and DHF patients enrolled on the third, fourth or fifth day of illness when analyzed by day of illness. No significant difference in HS levels was seen between primary and secondary DENV infections (p = 0.18) (Fig. 3c). There was no significant increase in HS level among the third, fourth and fifth day of illness (p = 0.33, Fig. 3d). However, there was also a significant decrease between acute and convalescent HS levels in both DF and DHF groups (p < 0.001) (Fig. 3c and d), but not in the non-dengue group (p = 0.5564).

Figure 3.

Figure 3

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Serum heparan sulfate (HS) levels in dengue subgroups: (a) Acute serum HS in all dengue and non-dengue patients (median, IQR; one outlier omitted in each of all dengue and non-dengue groups), (b) Acute serum HS in non-dengue, DF and DHF subgroups (median, IQR; one outlier omitted in each of the DF and non-dengue groups), (c) Acute serum HS in dengue primary and secondary infection (median, IQR; one outlier omitted in secondary infection), (d) Acute serum HS with respect to day of illness (median, IQR; one outlier omitted at the fourth day of illness.

Hyaluronic Acid and Heparan Sulfate with Markers of Disease Severity

In all dengue patients, there were significant negative associations between acute serum HA with serum albumin (Spearman’s rank correlation coefficient (r) = −0.3533, 95% CI −0.5807 to −0.07471, p = 0.0118), total protein (r = −0.3326, 95% CI −0.565 to −0.05138, p = 0.0183) and platelet count (r = −0.5981, 95% CI −0.755 to −0.3764, p < 0.001). In contrast, there was a significant association between HA and DENV PCR Cp (r = 0.33, 95 %CI 0.13 to 0.57, p = 0.02).

Significant inverse association were also found in the DHF subgroup between acute serum HA and acute serum albumin (r = −0.5828, 95% CI −0.8198 to −0.1754, p = 0.0070), globulin (r −0.4964, 95% CI −0.7755 to −0.05509, p = 0.0260), protein (r = −0.6559, 95% CI −0.8551 to −0.2877, p = 0.0017) and platelet count (r = 0.8015, 95% CI −0.9205 to −0.5465, p < 0.0001) (Table 3). The associations in all dengue patients remained significant after adjusting for age, gender and disease severity.

Table 3. Correlation of acute serum hyaluronic acid and severe disease markers in dengue patients.

  All dengue
 DF
 DHF
r 95% CI p value r 95% CI p value r 95% CI p value
Acute serum albumin −0.3533 −0.5807 to −0.07471 0.0118 −0.1871 −0.521 to 0.1964 0.3222 −0.5828 −0.8198 to −0.1754 0.0070
Acute serum globulin −0.1322 −0.403 to 0.16 0.3603 0.1424 −0.2402 to 0.4867 0.4530 −0.4964 −0.7755 to −0.05509 0.0260
Acute serum protein −0.3326 −0.565 to −0.05138 0.0183 −0.04242 −0.406 to 0.3327 0.8239 −0.6559 −0.8551 to −0.2877 0.0017
Acute platelet count −0.5981 −0.755 to −0.3764 <0.0001 −0.5009 −0.7347 to −0.1607 0.0048 −0.8015 −0.9205 to −0.5465 <0.0001
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Abbreviations: r: Spearman’s rank correlation coefficient; CI: confidence intervals.

In contrast, the only severe disease parameter significantly correlated with acute serum HS was platelet count in the DHF subgroup (r = −0.4934, 95% CI −0.7739 to −0.05111, p = 0.0270) (Table 4). There were no significant correlations between HA or HS levels with these markers of severity in the non-dengue febrile patients.

Table 4. Correlation of acute serum heparan sulfate and severe disease markers in dengue patients.

  All dengue
 DF
 DHF
r 95% CI p value r 95% CI p value r 95% CI p value
Acute serum albumin −0.1888 −0.4506 to 0.1029 0.1891 −0.1421 −0.4865 to 0.2404 0.4537 −0.2824 −0.6526 to 0.1965 0.2276
Acute serum globulin −0.08274 −0.3603 to 0.2083 0.5678 0.08313 −0.2959 to 0.4395 0.6623 −0.2953 −0.6605 to 0.183 0.2062
Acute serum protein −0.2027 −0.462 to 0.08857 0.1580 −0.08215 −0.4388 to 0.2968 0.6661 −0.3458 −0.6911 to 0.1281 0.1353
Acute platelet count −0.09667 −0.3725 to 0.1948 0.5042 0.1964 −0.1871 to 0.528 0.2982 −0.4934 −0.7739 to −0.05111 0.0270
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Abbreviations: r: Spearman’s rank correlation coefficient; CI: confidence intervals.

Pro-inflammatory Cytokines

Acute serum IL-6, IL-10 and TNF-α levels were measured in 22 dengue patients (12 DF and 10 DHF patients) either on enrollment (n = 19) or 1 day (n = 3) afterwards. The sampling time was at a median of 5 days after disease onset (IQR 3–6 days). There was no significant difference in IL-6, IL-10 and TNF-α level between DHF and DF subgroups, both during the acute and convalescent phase (Table 2). In dengue patients who had cytokine measurement, acute serum IL-10 level was significantly associated with acute serum HA (r = 0.49, p = 0.012). Among these patients no significant correlation was observed in the DF and DHF groups. There was no significant association between acute HA levels with either IL6 or TNF in all dengue patients with cytokine measurements, or the DF and DHF groups. Acute serum HS was not significantly correlated with IL-6, IL-10 or TNF-α.

Discussion

The endothelial glycocalyx constituents HA and HS were increased in dengue patients compared to those with non-dengue acute febrile illness. Among dengue patients, HA and HS concentrations were not significantly higher in DHF compared to those with DF. Acute HA but not HS levels were significantly higher in secondary compared to primary DENV infection. In all dengue patients and the DHF subgroup, there was a significant inverse association between HA and, albumin, protein and platelet count. With clinical recovery, there was a significant decrease in the HA and HS levels in DHF and DF patients.

The glycocalyx is a semi-permeable layer overlying the endothelial luminal surface with several homeostatic functions including regulation of solute and plasma movement between the intravascular and interstitial space13,14. The glycocalyx consists of a network of membrane-bound proteoglycans, glycoproteins and plasma proteins. Damage results in decreased thickness, increased microvascular permeability, decreased mechanotransducer signaling and increased blood cell with vessel wall interaction13. Glycocalyx damage is reflected in release of glycosaminoglycan constituents such as HA and HS with increased serum levels13,14.

Both glycocalyx and albumin are negatively charged, thus the former prevents the latter moving from plasma into the interstitium13. About 30–40% of the body’s total albumin is present in the intravascular compartment and accounts for 80% of the colloid oncotic pressure in normal physiological condition13. Glycocalyx damage leads to increased movement of albumin across the vascular wall resulting in increased interstitial fluid due to the increased oncotic pressure, and decreased intravascular volume13. The elevated HA and HS levels in dengue patients suggest glycocalyx damage might be increased in dengue fever. In this and other dengue studies, decreased albumin and protein due to vascular leakage was associated with worsening disease severity10. The significant inverse relationships between HA, with albumin and protein respectively further suggest glycocalyx disruption could increase microvascular permeability and vascular leakage in dengue. Increased HA was also inversely associated with decreased platelet counts, suggesting an additional role in modulating platelet-endothelial cell interactions. The glycocalyx acts as a mechanotransducer to vascular shear stress to induce endothelial nitric oxide release. However, we have found that vascular nitric oxide bioavailability is increased in DHF compared to DF23, although other authors have found opposite results24. Further studies are required to further define the relationship between the glycocalyx and vascular nitric oxide.

The current results are consistent with studies of adult sepsis, non-dengue viral hemorrhagic fever, and pediatric dengue. In adults with sepsis, circulating glycosaminoglycans including HA, was increased in patients with septic shock and was highest in those with a fatal outcome25. Adults with Pumala hantavirus infection had increased syndecan-1 (a marker of endothelial glycocalyx degradation), which was associated with disease severity26. In Vietnamese children with DSS, there was a selective increase in the renal clearance of glycosaminoglycans with increased urinary excretion of HS but not chondroitin-4-sulphate or chondroitin-6-sulphate16. In Thai children, those with DSS had significantly increased HA levels at the time of diagnosis compared to those with DF and controls17. Our results suggest endothelial glycocalyx damage with shedding of glycosaminoglycans may occur prior to the development of DHF. This is supported by a study of Vietnamese adolescents with DF which found increased HS levels during the febrile phase, but this was not compared with DHF, non-dengue or controls18. In addition, HA levels were significantly higher in secondary DENV infection while compared to primary infection. This may reflect a stronger inflammatory response known in subsequent DENV infections. The longitudinal decrease in HA levels suggest that glycocalyx repair or recovery parallels clinical recovery.

There was a significant elevation in HS between all dengue patients compared to non-dengue, but no difference between the DF and DHF subgroups, and lack of differential HS increase in secondary DENV infection. While this could reflect the relatively small sample size of the study, there may be other reasons. Adults with septic shock have also been found to have selective increase of several glycosaminoglycans25. Another possible explanation is the increased urinary excretion of HS seen in Vietnamese children with dengue may also occur in adults resulting in a lack of measurable differences between DF and DHF. In addition, dengue virus and NS1 protein can bind to HS which is a cell receptor for dengue virus envelope protein27,28, and the most abundant proteoglycan in endothelium. We postulate that dengue virus could directly interact with the glycocalyx, as suggested by the association between HA and DENV viral load, releasing its constituents like HS and HA into the bloodstream and possibly urine. NS1 binding may also result in a conformational change in HS structure such that it was not measured by the methods used in the study.

The role of pro-inflammatory cytokines in the pathogenesis of DHF or severe dengue has been reported previously with inconsistent results due to different study designs and methods, however, most studies suggests a deleterious role29,30. In contrast, we did not find significant differences in the levels of TNF-α, IL-6 and IL-10 with increasing dengue severity or plasma leakage. The association between IL-10 and HA in dengue patients suggest the former may increase endothelial glycocalyx damage as suggested by a study in Brazil which found an association between IL-10 and vascular leakage in children with dengue31. The lack of increase of both HA and HS in patients with non-dengue acute febrile illness compared to dengue is consistent with a recent report which showed DENV NS1 could compromise the glycocalyx by interacting with endothelial cells15.

The main limitation of our study is the small sample size restricting our ability to compare differences with disease severity. Nearly 60% of the patients in the current study presented at day 5 of illness and it is unclear what the HA and HS profile is during the early acute febrile phase of dengue. Increased serum HA is not specific to endothelial glycocalyx damage but may also be seen in joint damage by rheumatological diseases like rheumatoid arthritis. While arthralgia is a common symptom in dengue, frank arthritis with joint damage is rare. Finally, the results may only be applicable to adults as the pathophysiology of severe dengue may differ in pediatric patients. An example is the increased vascular permeability of the blood vessels in children compared to adults.

In summary, in adults with dengue, the glycocalyx components HA and HS were increased compared to non-dengue acute febrile illness. HA was also associated with markers of plasma leakage and disease severity including serum protein, albumin and platelet count. Further studies involving both children and adults with prospective profiling of glycocalyx components are needed to delineate their roles in dengue pathogenesis and potential as prognostic markers. In addition, interventions to attenuate damage or reconstitute the glycocalyx may have therapeutic potential to decrease vascular leakage in dengue32.

Additional Information

How to cite this article: Tang, T. H.-C. et al. Increased Serum Hyaluronic Acid and Heparan Sulfate in Dengue Fever: Association with Plasma Leakage and Disease Severity. Sci. Rep. 7, 46191; doi: 10.1038/srep46191 (2017).

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Acknowledgments

We are grateful to all the patients for participating in the study and the staffs at the STOP Dengue Translational Clinical Research and CDC who provided invaluable support in data processing, management and administrative work. We also wish to acknowledge the members of the SIgN Immune Monitoring Platform (Laurent Rénia, Alessandra Nardin, Anis Larbi, Michael Poidinger, Brian Abel, Doreen Hasse, Bernett Lee, Veonice Au, Suisheng Tang, Esther Mok Wing-Hei, and Joni Chong Chou-Yue) and Zhisheng Her from the Singapore Immunology Network for assistance in the study. This research is supported by the Singapore National Research Foundation under its TCR Flagship Programmes (NMRC/TCR/005) and administered by the Singapore Ministry of Health’s National Medical Research Council. Tsin-Wen Yeo is funded by a Singapore National Medical Research Council Clinician Scientist Award (CSA INV 15nov007). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Footnotes

The authors declare no competing financial interests.

Author Contributions T.L.T., V.J.X., Y.S.L., D.C.B.L. collected and prepared data. S.A. collected and measured glycocalyx data. L.F.P.N. collected and measured cytokine data. T.H.C.T and T.W.Y. performed data analysis. T.H.C.T, T.W.Y. and D.C.B.L. wrote the main manuscript. T.H.C.T and T.W.Y. prepared the tables and figures. All authors reviewed the manuscript.

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