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Characterisation of asthma subgroups associated with circulating YKL-40 levels

Jose L. Gomez, Xiting Yan, Carole T. Holm, Nicole Grant, Qing Liu, Lauren Cohn, Vera Nezgovorova, Deborah A. Meyers, Eugene R. Bleecker, Gina M. Crisafi, Nizar N. Jarjour, Linda Rogers, Joan Reibman, Geoffrey L. Chupp for the SARP Investigators
European Respiratory Journal 2017 50: 1700800; DOI: 10.1183/13993003.00800-2017
Jose L. Gomez
1Section of Pulmonary, Critical Care Medicine and Sleep and Dept of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
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  • ORCID record for Jose L. Gomez
Xiting Yan
1Section of Pulmonary, Critical Care Medicine and Sleep and Dept of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
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Carole T. Holm
1Section of Pulmonary, Critical Care Medicine and Sleep and Dept of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
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Nicole Grant
1Section of Pulmonary, Critical Care Medicine and Sleep and Dept of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
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Qing Liu
1Section of Pulmonary, Critical Care Medicine and Sleep and Dept of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
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Lauren Cohn
1Section of Pulmonary, Critical Care Medicine and Sleep and Dept of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
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Vera Nezgovorova
1Section of Pulmonary, Critical Care Medicine and Sleep and Dept of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
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Deborah A. Meyers
2Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
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Eugene R. Bleecker
2Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
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Gina M. Crisafi
3Section of Pulmonary and Critical Care Medicine, University of Wisconsin School of Medicine, Madison, WI, USA
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Nizar N. Jarjour
3Section of Pulmonary and Critical Care Medicine, University of Wisconsin School of Medicine, Madison, WI, USA
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Linda Rogers
4Dept of Medicine and Environmental Medicine, New York University School of Medicine, New York, NY, USA
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Joan Reibman
4Dept of Medicine and Environmental Medicine, New York University School of Medicine, New York, NY, USA
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Geoffrey L. Chupp
1Section of Pulmonary, Critical Care Medicine and Sleep and Dept of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
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  • For correspondence: geoffrey.chupp@yale.edu
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  • FIGURE 1
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    FIGURE 1

    Study workflow. YCAAD: Yale Center for Asthma and Airways Disease; SARP: Severe Asthma Research Programme; NYUBAR: New York University/Bellevue Asthma Registry; T2: type 2.

  • FIGURE 2
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    FIGURE 2

    Serum YKL-40 levels in the four YKL-40 asthma clusters (C1–C4). a) Serum YKL-40 levels in C1–C4 in the Yale Center for Asthma and Airways Disease (YCAAD) cohort. C3 and C4 had elevated serum levels of YKL-40 compared with C1 and C2. b, c) Serum YKL-40 levels were similar among the clusters in the b) Severe Asthma Research Programme and c) New York University/Bellevue Asthma Registry cohorts compared with the YCAAD cohort. d) Combined values for all cohorts. *: p<0.05; **: p<0.01.

  • FIGURE 3
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    FIGURE 3

    Differences in lung function among the YKL-40 clusters (C1–C4) in the three cohorts: a) Yale Center for Asthma and Airways Disease, b) Severe Asthma Research Programme and c) New York University/Bellevue Asthma Registry. Post-bronchodilator forced expiratory volume in 1 s (FEV1) was significantly different among the YKL-40 clusters in all three cohorts. C3 had severely reduced post-bronchodilator FEV1 in all three cohorts. d) Combined values for all cohorts. **: p<0.01.

  • FIGURE 4
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    FIGURE 4

    Rates of near-fatal asthma exacerbations requiring mechanical ventilation in the YKL-40 clusters (C1–C4) among the three cohorts. YCAAD: Yale Center for Asthma and Airways Disease; SARP: Severe Asthma Research Programme; NYUBAR: New York University/Bellevue Asthma Registry. The rate was significantly higher in C3 in all three cohorts.

  • FIGURE 5
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    FIGURE 5

    a) Sputum YKL-40 levels and b) sputum neutrophils in the Yale Center for Asthma and Airways Disease cohort. Both values were increased in clusters C3 and C4 compared with C1 and C2.

  • FIGURE 6
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    FIGURE 6

    Analysis of the type 2 (T2) sputum transcriptome in the YKL-40 clusters and healthy controls in the Yale Center for Asthma and Airways Disease cohort. Mean T2 gene expression levels (interleukin (IL)-4, IL-5 and IL-13) among the YKL-40 clusters demonstrate lower levels of T2 gene expression in C1 and C4.

  • FIGURE 7
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    FIGURE 7

    Analysis of the non-type 2 sputum transcriptome in the YKL-40 clusters and healthy controls in the Yale Center for Asthma and Airways Disease cohort. a) Heatmap of sputum gene expression in C3 compared with healthy controls shows activation of innate immunity pathways and the NETosis pathway. b) Heatmap of sputum gene expression in C4 compared with healthy controls shows activation of the interleukin (IL)-1 and IL-18 pathways in C4. See supplementary tables E10 and E12 for full details of probesets and gene symbols.

Tables

  • Figures
  • Supplementary Materials
  • TABLE 1

    Demographic and clinical characteristics of the YKL-40 clusters in the Yale Center for Asthma and Airways Disease (YCAAD), Severe Asthma Research Programme (SARP) and New York University/Bellevue Asthma Registry (NYUBAR) cohorts

    Total cohortCluster 1Cluster 2Cluster 3Cluster 4p-value
    Discovery cohort: YCAAD
     Subjects15676 (49)30 (19)20 (13)30 (19)
     Age years49 (37–58)42 (17–52)49 (37–56)52 (44–57)60 (52–65)<0.01
     Female117 (75)70 (92)7 (23)13 (65)27 (90)<0.01
     Ethnicity
      White114 (73)60 (79)24 (80)11 (55)19 (63)0.2
      African-American29 (19)10 (13)6 (20)5 (25)8 (27)
      Other13 (8)6 (8)4 (20)3 (10)
      Hispanic18 (12)6 (8)3 (10)3 (15)6 (20)0.36
     BMI kg·m−228.9 (23.8–35.7)25.1 (22.2–32.0)30.0 (25.7–32.4)31.2 (27.1–37.1)32.9 (29.0–39.7)<0.01
     Age of onset years21 (5–39)16 (5–31)30 (10–40)5 (3–14)42 (25–54)<0.01
     Asthma duration years21 (10–33)18 (12–32)20 (6–29)40 (32–50)16 (7–30)<0.01
     Severe by EPR-363 (40)16 (21)13 (43)16 (80)18 (60)<0.01
     Lifetime hospitalisations for asthma65 (42)22 (29)12 (40)15 (75)16 (53)<0.01
     Hospitalisations for asthma in the past year35 (22)11 (15)6 (20)7 (35)11 (37)0.04
     ACT score17 (11–21)20 (17–23)13 (10–19)15 (9–20)10 (9–17)<0.01
     Pre-bronchodilator FEV1 % pred82 (60–94)91 (85–103)72 (62–85)43 (34–53)72 (53–81)<0.01
     Post-bronchodilator FEV1 % pred86 (71–98)96 (86–108)86 (76–98)51 (39–56)75 (61–86)<0.01
     Post-bronchodilator FEV1/FVC74 (65–81)79 (73–85)70 (64–75)53 (41–66)71 (64–83)<0.01
     Bronchodilator response % pred5 (2–9)4 (2–7)12 (4–20)6 (4–8)5 (1–10)<0.01
     Inhaled corticosteroid use127 (81)55 (72)25 (83)20 (100)27 (90)0.02
     Inhaled corticosteroid dose μg·day–1500 (0–675)320 (0–640)410 (0–830)640 (500–1000)640 (500–1000)<0.01
     Oral or systemic corticosteroids18 (12)3 (4)3 (10)3 (15)9 (30)<0.01
     LABA use103 (66)40 (53)18 (60)19 (95)26 (87)<0.01
     Serum YKL-40 ng·mL−163 (35–108)48 (32–71)50 (33–88)74 (46–108)206 (110–311)<0.01
    Validation cohort 1: SARP
     Subjects16784 (50)57 (34)14 (8)12 (7)
     Age years36 (26–47)33 (25–44)35 (25–43)51 (38–59)48 (46–54)<0.01
     Female115 (68)84 (100)19 (33)6 (43)4 (33)<0.01
     Ethnicity
      White119 (71)60 (71)41 (72)11 (79)7 (58)0.56
      African-American41 (25)19 (23)15 (26)2 (14)5 (42)
      Other7 (4)5 (6)1 (2)1 (7)
     BMI kg·m−226.8 (23.5–32.4)26.1 (23.0–29.8)27.0 (24.0–32.8)28.6 (24.4–32.4)31.1 (27.1–33.3)0.17
     Age of onset years10 (4–26)11 (4–22)6 (2–22)5 (1–28)40 (38–46)<0.01
     Asthma duration years19 (9–32)17 (9–29)20 (15–33)33 (29–45)7 (4–11)<0.01
     Lifetime hospitalisations for asthma71 (43)30 (36)24 (42)12 (86)5 (42)0.01
     Pre-bronchodilator FEV1 % pred80 (62–92)88 (80–98)73 (59–88)32 (28–41)58 (49–70)<0.01
     Post-bronchodilator FEV1 % pred92 (79–102)96 (88–106)89 (79–100)44 (40–49)79 (71–98)<0.01
     Bronchodilator response % pred10 (5–16)7 (4–10)15 (12–22)10 (6–14)12 (10–22)<0.01
     Inhaled corticosteroid use73 (44)35 (42)22 (39)7 (50)9 (75)<0.01
     Oral or systemic corticosteroids19 (12)5 (6)5 (9)5 (36)3 (25)<0.01
     LABA use83 (50)37 (44)25 (44)10 (71)11 (92)<0.01
     Serum YKL-40 ng·mL−149 (34–68)43 (33–61)54 (28–69)70 (42–101)67 (50–165)<0.01
    Validation cohort 2: NYUBAR
     Subjects341205 (60)97 (28)15 (4)24 (7)
     Age years37 (25–50)34 (24–49)34 (26–43)46 (42–62)54 (48–62)<0.01
     Female242 (71)205 (100)11 (11)9 (60)17 (71)<0.01
     Ethnicity
      White75 (255)76 (159)68 (66)67 (10)83 (20)0.06
      African-American19 (66)20 (40)19 (19)27 (4)13 (3)
      Other6 (21)3 (6)13 (13)6 (1)4 (1)
      Hispanic188 (55)119 (58)47 (49)9 (60)13 (54)0.46
     BMI kg·m−228.0 (24.0–33.0)28.0 (23.0–33.0)27.0 (24.0–32.0)32.0 (27.5–40.0)28.5 (24.0–33.5)0.09
     Age of onset years16 (8–28)18 (10–27)12 (6–22)9 (5–21)45 (39–53)<0.01
     Asthma duration years16 (7–28)15 (6–25)18 (12–29)36 (32–42)8 (3–16)<0.01
     Severe by EPR-3209 (61)121 (59)50 (52)15 (100)23 (96)0.01
     Hospitalisations for asthma in the past year36 (11)14 (7)11 (11)7 (47)4 (17)<0.01
     Pre-bronchodilator FEV1 % pred82 (71–93)86 (76–95)79 (68–89)40 (33–48)67 (55–72)<0.01
     Post-bronchodilator FEV1 % pred87 (76–96)89 (80–99)86 (77–95)48 (45–51)73 (60–76)<0.01
     Bronchodilator response % pred4 (1–7)3 (1–6)5 (2–10)4 (1–9)6 (2–8)<0.01
     Inhaled corticosteroid use191 (56)109 (53)45 (46)15 (100)22 (92)<0.01
     Oral or systemic corticosteroids199 (58)115 (56)51 (53)15 (100)18 (75)<0.01
     LABA use141 (41)85 (42)29 (30)12 (80)15 (63)<0.01
     Serum YKL-40 ng·mL−156 (42–87)52 (40–80)57 (39–86)99 (60–177)103 (61–156)<0.01

    Data are presented as n, n (%) or median (interquartile range). BMI: body mass index; EPR-3: Expert Panel Report-3; ACT: Asthma Control Test; FEV1: forced expiratory volume in 1 s; FVC: forced vital capacity; LABA: long-acting β-agonist.

    • TABLE 2

      Biomarkers in the Yale Center for Asthma and Airways Disease (YCAAD), Severe Asthma Research Programme (SARP) and New York University/Bellevue Asthma Registry (NYUBAR) cohorts by YKL-40 asthma cluster

      Total cohortCluster 1Cluster 2Cluster 3Cluster 4p-value
      YCAAD
       Subjects15676 (49)30 (19)20 (13)30 (19)
       Sputum YKL-40 ng·mL−1#15 (0–40)10 (0–37)10 (0–26)28 (5–58)32 (8–43)0.16
       Serum IgE IU·mL−191 (25–277)77 (23–220)85 (17–328)163 (48–341)72 (30–351)0.40
       FENO ppb28 (19–53)25 (18–55)43 (23–60)20 (15–35)32 (21–50)0.02
       Absolute blood eosinophil count cells·μL−1165 (86–335)136 (84–276)170 (101–322)192 (86–399)170 (91–338)0.69
       Eosinophils in sputum %#3 (1–7)2 (1–5)4 (2–8)2 (1–4)5 (2–12)0.08
       Neutrophils in sputum %#37 (27–48)34 (27–44)37 (24–45)46 (34–55)43 (29–50)0.15
       Macrophages in sputum %55 (42–65)60 (51–67)51 (42–67)47 (35–55)44 (35–58)<0.01
      SARP
       Subjects16784 (50)57 (34)14 (8)12 (7)
       Serum IgE IU·mL−1116 (34–301)73 (24–191)177 (60–354)162 (18–262)270 (200–333)0.03
       FENO ppb25 (16–50)21 (11–52)29 (23–63)27 (16–40)52 (16–111)0.04
       Blood eosinophils %3 (2–5)2.5 (1.8–4.0)4.0 (2.0–6.0)5.1 (4.0–7.5)4.5 (2.3–9.8)<0.01
      NYUBAR
       Subjects341205 (60)97 (28)15 (4)24 (7)
       Serum IgE IU·mL−1129 (41–345)119 (31–328)197 (74–443)130 (52–278)94 (46–173)0.02

      Data are expressed as n, n (%) or median (interquartile range). FENO: exhaled nitric oxide fraction. #: data available for n=113 (C1, n=54; C2, n=17; C3, n=18; C4, n=24).

      Supplementary Materials

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        Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author.

        Supplementary material ERJ-00800-2017_Supplement

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      • Supplementary Material

        G.L. Chupp ERJ-00800-2017_Chupp

        L. Cohn ERJ-00800-2017_Cohn

        G.M. Crisafi ERJ-00800-2017_Crisafi

        J.L. Gomez ERJ-00800-2017_Gomez

        N.N. Jarjour ERJ-00800-2017_Jarjour

        J. Reibman ERJ-00800-2017_Reibman

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      Characterisation of asthma subgroups associated with circulating YKL-40 levels
      Jose L. Gomez, Xiting Yan, Carole T. Holm, Nicole Grant, Qing Liu, Lauren Cohn, Vera Nezgovorova, Deborah A. Meyers, Eugene R. Bleecker, Gina M. Crisafi, Nizar N. Jarjour, Linda Rogers, Joan Reibman, Geoffrey L. Chupp
      European Respiratory Journal Oct 2017, 50 (4) 1700800; DOI: 10.1183/13993003.00800-2017

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      Characterisation of asthma subgroups associated with circulating YKL-40 levels
      Jose L. Gomez, Xiting Yan, Carole T. Holm, Nicole Grant, Qing Liu, Lauren Cohn, Vera Nezgovorova, Deborah A. Meyers, Eugene R. Bleecker, Gina M. Crisafi, Nizar N. Jarjour, Linda Rogers, Joan Reibman, Geoffrey L. Chupp
      European Respiratory Journal Oct 2017, 50 (4) 1700800; DOI: 10.1183/13993003.00800-2017
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