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Table 1 Characteristics of the large-scale COPD microbiome datasets included in this study

From: Bacterial interactome disturbance in chronic obstructive pulmonary disease clinical stability and exacerbations

Analysis plan

Study/Dataset

Group

No. of samples

Sample types

Country

Primer

Platform

Reads per sample‡

Median (IQR)

Health-COPD comparative analysis

EndAECOPD

(This study)

HC

44

IS

China

V3-4

MiSeq

48,726

(40,853–55,601)

COPD

143

SRP066375 [20]

HC

116

IS

China (50), Nepal (50)

Bangladesh (49), Peru (41)

V4

MiSeq

34,890

(28,377–40,453)

COPD

74

Stability-exacerbation comparative analysis

COPDMAP [6]

Stability

445

IS, SS

UK

V4

MiSeq

50,941

(46,905–56,712)

Exacerbation

270

BCCS & BCES [21]

Stability

80

IS, SS

Norway

V3-4

MiSeq

26,777

(17,709–34,457)

Exacerbation

94

Exacerbation-recovery time series analysis

BEAT-COPD [22]

Stability

106

IS, SS

UK

V3-5

454

9,304

(7,472–11,514)

Exacerbation

137

Post-therapy*

136

Recovery†

97

  1. Definition of abbreviations: BCCS & BCES = Bergen COPD cohort study & Bergen COPD Exacerbation Study, BEAT-COPD = Biomarkers to Target Antibiotic and Systemic COPD, COPD = chronic obstructive pulmonary disease, COPDMAP = COPD Medical Research Council/Association of the British Pharmaceutical Industry, EndAECOPD = Endotype-Driven Prediction of Acute Exacerbations in COPD, HC = healthy control, IQR = interquartile range, IS = induced sputum, SS = spontaneous sputum
  2. *2 weeks after therapy
  3. †6 weeks post-exacerbation visit
  4. ‡The number of clean reads per sample included for downstream analysis for each dataset. Only one sample of less than 1000 clean reads was filtered during quality control for SRP066375 and BCCS & BCES, respectively