Literature DB >> 35120172

Adrenal suppression in patients with chronic obstructive pulmonary disease treated with glucocorticoids: Role of specific glucocorticoid receptor polymorphisms.

Pradeesh Sivapalan1,2, Stina Willemoes Borresen3, Josefin Eklöf1, Marianne Klose3, Freja S Holm1, Ulla Feldt-Rasmussen3,4, Maria Rossing5, Niklas R Jørgensen4,6, Rasmus L Marvig5, Mohamad Isam Saeed1, Torgny Wilcke1, Niels Seersholm1, Alexander G Mathioudakis7,8, Jørgen Vestbo7,8, Jens-Ulrik Stæhr Jensen1,4.   

Abstract

BACKGROUND: Single-nucleotide polymorphisms (SNPs) of the glucocorticoid receptor (GR) gene NR3C1 have been associated with an altered sensitivity to glucocorticoids, and thus may alter the therapeutic effects of glucocorticoids. We investigated the prevalence of adrenal suppression after treatment with glucocorticoids and evaluated whether GR SNPs were associated with altered risks of adrenal suppression and metabolic disorders in patients with chronic obstructive pulmonary disease (COPD).
METHODS: In an observational prospective cohort study, we recruited 78 patients with severe COPD receiving 5 days glucocorticoid treatment for an exacerbation of COPD. In total, 55% of these patients were also receiving regular inhaled corticosteroids (ICS). Adrenal function was evaluated with a corticotropin test 30 days after the exacerbation. Patients were genotyped for Bcl1, N363S, ER22/23EK, and 9β SNPs.
RESULTS: The prevalence of adrenal suppression (corticotropin-stimulated plasma-cortisol ≤ 420 nmol/L) 30 days after glucocorticoid treatment was 4/78 (5%). There was no difference between carriers and non-carriers of the polymorphisms (Bcl1, 9β, ER22/23K, and N363S) in corticotropin stimulated plasma-cortisol concentrations. In the haplotype analyses, we included the 50 patients who had a high-sensitivity (76%), a low-sensitivity (4%), or a wild-type (20%) GR haplotype. There was no difference in the frequency of adrenal suppression or metabolic disorders between the two stratified groups: (a) high-sensitivity (Bcl1 and/or N363S) haplotypes vs. (b) low-sensitivity (9β and/or ER22/23K) plus wild-type haplotypes (p > 0.05). Carriers of the high-sensitivity GR gene haplotype exhibited a steeper decline in stimulated P-cortisol with increased ICS dose (slope, -1.35 vs. 0.94; p = 0.17), compared to the group with low-sensitivity or wild-type haplotypes, respectively.
CONCLUSIONS: In total, 5% of patients exhibited insufficient adrenal function. The Bcl1 and N363S polymorphisms did not seem to increase the risk of glucocorticoid suppression or metabolic disorders in adults treated with glucocorticoids for COPD exacerbations.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35120172      PMCID: PMC8815987          DOI: 10.1371/journal.pone.0262898

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


1. Introduction

Systemic glucocorticoid therapy (30–40 mg prednisolone) is commonly used to treat patients for acute exacerbation of chronic obstructive pulmonary disease (COPD), irrespective of disease etiology or phenotype [1]. This therapy has beneficial effects, such as shorter admission periods and more rapid improvements in pulmonary function. However, it is associated with several side effects [2, 3], including severe psychological and somatic side effects [4]. Short-term glucocorticoid therapy was shown to suppress the hypothalamic–pituitary–adrenal (HPA) axis in 45% to 63% of patients with a COPD exacerbation [5]. The degree of adrenal cortex suppression caused by glucocorticoid therapy varies considerably among individuals, and it is difficult to predict whether a particular patient will develop adrenal suppression or adrenal cortex failure [6, 7]. Previous studies found no correlation between glucocorticoid dose or therapy duration and the function of the HPA axis [8]. The glucocorticoid receptor (GR), encoded by the NR3C1 gene, mediates the effects of glucocorticoids, and many polymorphisms in the GR gene have been associated with altered sensitivity to glucocorticoids [9, 10]. In patients with rheumatoid arthritis, four polymorphisms in the NR3C1 gene were identified as clinically relevant. The polymorphisms N363S and Bcl1 have been associated with a decreased risk of developing rheumatoid arthritis (i.e., are high-sensitivity GR gene single-nucleotide polymorphisms [SNPs] that protect against the autoimmune disease), and the polymorphisms ER22/23EK and 9β are associated with an increased risk of developing rheumatoid arthritis [11]. Although discrepancies have been reported, the first two haplotypes appear to be predictors of obesity, dyslipidemia, and hypertension [10]. Bcl1 is associated with a higher risk of hyperglycemia, increased insulin secretion, and abdominal obesity [12]. Furthermore, N363S has been associated with a higher risk of metabolic syndromes, type 2 diabetes mellitus, and cardiovascular disease [13], whereas ER22/23EK and 9β were associated with more favorable metabolic profiles [10]. Notably, patients with steroid-resistant asthma are more likely to have the 9β polymorphism. However, the clinical significance of these polymorphisms for patients with COPD who undergo glucocorticoid therapy is unknown [14, 15]. To our knowledge, no study has investigated the association between GR haplotypes and adrenal suppression in patients with COPD following administration of glucocorticoids. We assessed the prevalence of adrenal suppression after treatment with glucocorticoids and evaluated whether high glucocorticoid-sensitivity haplotypes were associated with an increased risk of adrenal suppression or metabolic disorders in patients with COPD.

2. Materials and methods

2.1. Study design and patients

This prospective population-based cohort study included 78 patients recruited 1 month after admission with a COPD exacerbation (47% males; median age, 75 years; range, 70–83 years) between 17 August 2017 and 1 February 2019 at the Respiratory Medicine department at Herlev and Gentofte University Hospital in Copenhagen, Denmark. All patients were asked if they would like to participate in the project during their admission for an exacerbation of COPD. Only white individuals were recruited because there may be genetic differences that affect the haplotypes in other populations. Inclusion criteria were: (i) a diagnosis of COPD in white individuals aged 18 years or more; (ii) COPD exacerbation treated with glucocorticoids; and (iii) signed informed consent. Exclusion criteria were: (i) treatment with estrogen-containing medication, including contraceptives, less than 6 weeks before the corticotropin test; (ii) pregnancy or lactation; (iii) severe mental illness not adequately controlled by medication; (iv) detention by law for psychiatric treatment; and (vi) permanent systemic glucocorticoid therapy. Also, inhaled corticosteroid (ICS) treatment was paused 24 h before the corticotropin test to avoid cross-reactivity with cortisol in the assay. Patients were divided into an expected high-sensitivity GR gene haplotype group (patients carrying Bcl1 and/or N363S, but not ER22/23EK and 9β) and an expected low-sensitivity (patients carrying ER22/23EK and/or 9β, but not Bcl1 or N363S) plus wild-type (patients who exhibited wild-type genotypes for all four polymorphisms) GR gene haplotype group. Patients who had a mixture of high-sensitivity and low-sensitivity genotypes were excluded from the haplotype analyses. The study was approved by The Regional Research Ethics Committee (VEK) with approval number H-15012207. All study procedures were carried out in accordance with the Declaration of Helsinki, and all participants provided written informed consent. The study was registered at clinicaltrials.gov (NCT03140761) before recruitment of patients.

2.3. Exposure to ICS

All ICS prescriptions (alone or in a combination inhaler) prior to cohort entry were identified. These included: beclomethasone, budesonide, fluticasone, ciclesonide, and mometasone. All doses of ICS were converted to budesonide-equivalent doses: Beclomethasone and mometasone were considered equivalent to budesonide. Fluticasone propionate and ciclesonide were converted to budesonide doses using ratios of 2:1 and 2.5:1, respectively.

2.4. Procedures

All enrolled study patients were invited for a site visit 1 month after the acute exacerbation that included fasting venipuncture to measure fasting glucose, glycated hemoglobin levels, concentrations of the bone turnover markers C-terminal telopeptide of type 1 collagen and procollagen type 1 N-terminal propeptide, triglycerides, total cholesterol, as well as low-density and high-density lipoprotein cholesterol. DNA was extracted from peripheral venous blood samples using the QIAamp DNA mini kit (Qiagen, Hilden, Germany). DNA was genotyped for the four functional GR polymorphisms Bcl1, 9β, N363S, and ER22/23EK. PCR reactions and genotyping procedures were carried out using the “allelic discrimination” technique, customized primers and probes, and the “Assay by Design service” provided by Applied Biosystems (Nieuwerkerk aan den IJssel, The Netherlands), in accordance with the manufacturer’s instructions. Primers were designed using Primer-BLAST [16] and ordered through Eurofins [17]. Corticotropin tests were performed and blood samples collected 30 days after glucocorticoid treatment for COPD exacerbation was completed. For all patients, weight, height, body mass index (BMI), systolic and diastolic blood pressure, COPD assessment test (CAT) and waist and hip circumference were measured. CAT is a simple test to measure the patient-completed quality of life that contains eight questions covering the impact of symptoms in COPD.

2.5. Corticotropin tests

Adrenal cortisol secretion capacity was assessed using a short corticotropin test measuring the plasma cortisol concentration before and 30 min after intravenous administration of 250 μg corticotropin (Synacthen®; Atnahs Pharma, Basildon, UK). The threshold for diagnosing adrenal suppression using the short corticotropin test was based on adult reference concentrations (peak cortisol ≤ 420 nmol/L) from the same laboratory and population [18, 19].

2.6. Statistical analysis

The sample size calculation was designed for the haplotype analyses. We performed a t-test in which the ratio among the groups was 3:1 because previous results from other cohorts suggested that patients would exhibit this distribution of haplotypes [20]. The mean difference in cortisol concentration between patients with the wild-type plus ER22/23EK and/or 9β polymorphisms and those with the homo/heterozygous Bcl1 and or N363S polymorphisms was set to 100 nmol/L. These variables were based on data from two previous rheumatology studies [11, 21]. Power was set to 80% and the type 1 error rate was 5%. The test was single-sided, because we did not expect the most sensitive group to respond better to the corticotropin test. Standard deviation was set to 137 nmol/L. Consequently, 16 and 48 patients were included in each of the two groups (i.e., 64 patients in total). Assuming approximately 15–20% of the recruited patients would not be placed in either of the two groups, additional 11–16 patients were needed, resulting in a decided recruitment of 78 patients to the study. Continuous data were expressed as means with standard deviations when normally distributed or as medians with interquartile ranges when non-normally distributed. Categorical variables were expressed as counts and percentages. Comparisons among groups were made using t-tests or Mann–Whitney U tests for continuous variables and χ2 tests or Fisher’s exact test when appropriate for categorical variables. For each genotype, the relationship between total systemic glucocorticoid dose over the preceding 6 months and adrenal suppression was evaluated using linear regression models. Spearman’s correlation was used to evaluate the correlation between high- and low-sensitivity GR gene polymorphisms and stimulated cortisol levels. Statistical analyses were carried out using SAS software (ver. 9.4; SAS Institute, Inc., Cary, NC, USA) and a p-value < 0.05 was considered statistically significant.

3. Results

In total, 78 patients were included in the study. Baseline characteristics are given in Table 1. In total, 46% of patients had hypertension, 10% had ischemic heart disease, 6% had heart failure, 13% had diabetes, and 3% had kidney disease. Overall, 4/78 (5%) of patients had an insufficient response to the corticotropin test 1 month after treatment with corticosteroids with the most suppressed stimulated cortisol level of 280 nmol/L. Two of the 38 patients with a Bcl1 or N363S genotype and none of the 12 patients with ER22/23EK or 9β genotype had suppressed glucocorticoid function.
Table 1

Clinical, functional, and biological characteristics of COPD patients with high-sensitivity haplotypes, those with low-sensitivity or wild-type haplotypes, and ‘mixed type’, i.e. patients with a mixture of high-sensitivity and low-sensitivity genotypes.

Mixed type was excluded from haplotype analyses.

All (n = 78)High sensitivity: Bcl1 or N363S (n = 38)Low sensitivity: ER22/23EK and plus wild-type (n = 12)p–value (High vs. Low sensitivity)Mixed type (n = 28)
Age [years], median (IQR)75 (70 to 83)74 (68 to 81)75 (72 to 87)77 (72 to 82.5)
Male (%)46.844.754.546.4
Current or former smoker (%)97.497.410096.4
Never smoker (%)2.62.603.6
Pack years, median (IQR)45 (33 to 60)45 (32.5 to 60)48 (35 to 54)41 (22 to 52.5)
Weekly alcohol consumption [units], median (IQR)2 (0 to 8)1 (0 to 7)1.5 (0 to 7)6 (1.5 to 12)
Body mass index [kg/m2]25.8 (24.4 to 27.2)25.6 (22.2 to 28.9)25.3 (23.3 to 27.3)26.7 (24.2 to 29.1)
GOLD Class 0.91
Class A n (%)1 (1.35)1 (2.78)0 (0.00)0 (0.00)
Class B n (%)11 (14.86)5 (13.89)2 (18.18)4 (14.29)??
Class C n (%)8 (10.81)5 (13.89)2 (18.18)1 (3.57)
Class D n (%)54 (72.97)25 (69.44)7 (63.64)22 (78.57)
Medication
Regular ICS (%)5558580.9839
Regular ICS daily dose [μg]1030.9 (819 to 1243)884 (609 to 1158)1257 (475 to 2040)0.46652 (476 to 828)
Days after last completed course of corticosteroids, median (IQR)28 (25 to 31)28 (22 to 32)28 (26 to 31)0.4928 (24.5 to 30)
Accumulated systemic GC use 6 months before corticotropin test [mg]324 (289 to 358)356 (252 to 461)264 (199 to 328)0.85367 (302 to 432)
LAMA (%)83.376.391.70.2589.3
LABA (%)80.879.083.30.7482.1
Comorbidity
Hypertension (%)46.242.158.30.3346.4
Atrial fibrillation (%)12.813.216.70.7610.7
Heart failure (%)6.48.37.90.963.6
Kidney failure (%)2.65.300.420
Diabetes mellitus (%)12.818.48.30.417.1
Ischemic heart disease (%)10.32.6250.0114.3
Asthma (%)10.313.200.1910.7
Paraclinical parameters
Hemoglobin [mmol/L]8.9 (8.2 to 9.6)9.2 (8.4 to 10.0)8.9 (8.4 to 9.4)8.6 (8.3 to 8.9)
Leucocytes [10E9/L]7.5 (6.4 to 9.4)8.0 (7.3 to 8.8)8.2 (7.1 to 9.4)8.3 (7.3 to 9.4)
Thrombocytes [10E9/L]300 (245 to 374)303 (270 to 336)296 (245 to 347)329 (291 to 366)
Albumin [g/L]42.2 (41.3 to 43.0)42.8 (41.6 to 44.1)41.4 (38.4 to 44.3)41.6 (40.7 to 42.6)
Potassium [mmol/L]3.9 (3.8 to 4.0)3.9 (3.8 to 4.0)4.0 (3.7 to 4.2)3.9 (3.8 to 4.1)
Sodium [mmol/L]140.8 (140.2 to 141.4)141.2 (140.3 to 142.1)139.9 (139.2 to 140.6)140.7 (139.6 to 141.8)
Carbamide [mmol/L]6.2 (5.6 to 6.7)5.8 (5.1 to 6.4)7.4 (5.3 to 9.6)6.2 (5.4 to 7.0)
Creatinine [μmol/L]79.9 (75.2 to 84.6)78.1 (71.1 to 85.0)86.8 (75.6 to 98.0)79.7 (71.5 to 87.8)
eGFR [mL/min]71.8 (68.4 to 75.3)73.5 (68.4 to 78.6)66.1 (55.1 to 77.1)71.8 (66.6 to 77.0)
ASAT [U/L]47.4 (22.3 to 72.5)34.7 (29.0 to 40.4)34.5 (25.7 to 43.4)35.3 (32.7 to 37.9)
ALAT [U/L]27.4 (25.3 to 29.4)26.9 (24.1 to 29.7)25.2 (17.8 to 32.5)28.8 (25.4 to 32.2)
Basic phosphatase [U/L]75.0 (70.1 to 79.2)75.4 (69.1 to 81.7)72.3 (58.5 to 86.1)75.6 (69.2 to 82.0)
INR1.0 (0.9 to 1.1)1.2 (1.0 to 1.3)1.1 (0.8 to 1.5)1.0 (0.9 to 1.0)
Fasting blood glucose [mmol/L]6.0 (5.8 to 6.3)6.2 (5.7 to 6.6)5.8 (5.4 to 6.2)6.0 (5.6 to 6.3)
Corticotropin [pmol/L]4.8 (4.0 to 5.5)4.9 (3.9 to 5.9)4.3 (1.5 to 7.1)4.6 (3.2 to 6.0)
Vitamin D [nmol/L]77.2 (70.7 to 83.6)78.9 (70.3 to 87.5)80.4 (54.6 to 106.2)73.6 (63.1 to 84.2)
PTH [pmol/L]7.3 (6.5 to 8.1)6.7 (5.6 to 7.8)9.6 (7.4 to 11.8)7.2 (6.0 to 8.3)
TSH [U/L]1.7 (1.3 to 2.0)1.7 (1.3 to 2.1)1.9 (0.18 to 3.6)1.6 (1.1 to 2.0)

Data are expressed as means (95% confidence interval) unless otherwise stated. Abbreviations: GC, glucocorticoids; GOLD, Global initiative for chronic Obstructive Lung Disease; LABA, long-acting beta-agonist; LAMA, long-acting muscarinic antagonist; ICS, inhaled corticosteroids; COPD, chronic obstructive pulmonary disease; IQR, interquartile range; eGFR, estimated glomerular filtration rate; PTH, Parathyroid hormone; TSH, thyroid-stimulating hormone; ALAT, alanine aminotransferase; ASAT, aspartate transaminase; INR, international normalized ratio.

Clinical, functional, and biological characteristics of COPD patients with high-sensitivity haplotypes, those with low-sensitivity or wild-type haplotypes, and ‘mixed type’, i.e. patients with a mixture of high-sensitivity and low-sensitivity genotypes.

Mixed type was excluded from haplotype analyses. Data are expressed as means (95% confidence interval) unless otherwise stated. Abbreviations: GC, glucocorticoids; GOLD, Global initiative for chronic Obstructive Lung Disease; LABA, long-acting beta-agonist; LAMA, long-acting muscarinic antagonist; ICS, inhaled corticosteroids; COPD, chronic obstructive pulmonary disease; IQR, interquartile range; eGFR, estimated glomerular filtration rate; PTH, Parathyroid hormone; TSH, thyroid-stimulating hormone; ALAT, alanine aminotransferase; ASAT, aspartate transaminase; INR, international normalized ratio. The SNP frequencies were: N363S, 3.9%; Bcl1, 63.2%; ER22/23EK, 2.6%; and 9β, 18.4%. Corticotropin stimulated plasma cortisol was negatively associated with male sex, whereas no correlation was found with BMI, age, accumulated systemic glucocorticoid use 6 months before the test, or days since completing the course of systemic glucocorticoids after the COPD exacerbation (Table 2). For the haplotype analyses, we included the subgroup of 50 patients with the expected high-sensitivity (76%) or low-sensitivity (4%) GR gene haplotypes plus wild-type GR haplotype (20%). The baseline characteristics of the two groups were similar, except for ischemic heart disease, which was more prevalent in the low-sensitivity plus wild-type haplotype group (25%) than in the high-sensitivity haplotype group (3%; p = 0.01); (Table 1).
Table 2

Relationship between 30 min cortisol response and possible confounders in the total cohort (N = 78).

Spearman’s Rhop-value
Male–0.240.04
Body mass index–0.150.22
Age0.060.63
Accumulated GC use 6 months before test–0.140.23
Days since completing the course of glucocorticoids0.090.47

Abbreviations: GC, glucocorticoids.

Abbreviations: GC, glucocorticoids. There was no correlation between accumulated systemic glucocorticoids and 30 min cortisol concentrations in the high-sensitivity haplotype group (p-value, 0.79) or the low-sensitivity plus wild-type haplotype group (p-value, 0.26) (Fig 1 and Table 3). When all 78 patients were analyzed, corticotropin stimulated plasma-cortisol levels did not differ between carriers and non-carriers of Bcl1 (p = 0.74), 9-beta (p = 0.33), ER22/23K (p = 0.37), or N363S (p = 0.35; Table 4).
Fig 1

The relationship between total accumulated systemic glucocorticoid dose (prednisolone equivalent dose, mg) in the 6 months before the corticotropin test and stimulated cortisol concentrations for the high-sensitivity glucocorticoid receptor gene haplotype group (p-value 0.79) compared with the low-sensitivity and wild-type glucocorticoid receptor gene haplotype group (p-value 0.26).

Abbreviations: GC, glucocorticoids; GR, glucocorticoid receptor.

Table 3

The relationship between total systemic glucocorticoid dose (prednisolone equivalent dose) over the preceding 6 months and 30 min cortisol response was evaluated using Spearman’s correlation.

Spearman’s Rho95% CIp-value
Low-sensitivity plus wild-type GR gene haplotypes (n = 12)–0.37(–0.79 to 0.29)0.26
High-sensitivity GR gene haplotype (n = 38)–0.05(–0.36 to 0.28)0.79
Pooled (n = 50)–0.10(–0.37 to 0.19)0.49
Mixed Type (n = 28)–0.10(–0.47 to 0.30)0.64
Total Cohort (n = 78)–0.14(–0.36 to 0.09)0.23

Abbreviations: CI, confidence interval; GR, Glucocorticoid receptor.

Table 4

Differences in stimulated plasma-cortisol for non-carriers vs. carriers of each polymorphism.

Stimulated cortisolp-valuePearson’s Rho
Mean (95% CI)
Bcl1
Non-carrier654 (606–702)0.740.04
Carrier666 (609–724)
Non-carrier674 (627–721)0.33–0.12
Carrier637 (577–697)
ER22/23EK
Non-carrier663 (626–700)0.37–0.11
Carrier561 (not calculated, n = 2)
N363S
Non-carrier651 (612–689)0.350.11
Carrier708 (617–799)

Abbreviations: CI, confidence interval.

The relationship between total accumulated systemic glucocorticoid dose (prednisolone equivalent dose, mg) in the 6 months before the corticotropin test and stimulated cortisol concentrations for the high-sensitivity glucocorticoid receptor gene haplotype group (p-value 0.79) compared with the low-sensitivity and wild-type glucocorticoid receptor gene haplotype group (p-value 0.26).

Abbreviations: GC, glucocorticoids; GR, glucocorticoid receptor. Abbreviations: CI, confidence interval; GR, Glucocorticoid receptor. Abbreviations: CI, confidence interval. Carriers of the high-sensitivity GR gene haplotype exhibited a steeper decline in stimulated P-cortisol with increased ICS dose compared to patients with the low-sensitivity haplotype plus those with wild-type haplotypes (slope, –1.35 vs. 0.94; p = 0.17; Fig 2 and Table 5).
Fig 2

The relationship between ICS dose 1 day before the Corticotropin test (μg) and stimulated cortisol concentrations at baseline for the high-sensitivity glucocorticoid receptor gene haplotype group compared with the low-sensitivity and wild-type glucocorticoid receptor gene haplotype group.

Abbreviations: ICS, inhaled corticosteroid; GR, glucocorticoid receptor.

Table 5

The relationship between daily ICS dose and adrenal suppression assessed by linear regression.

Slope95% CIP-value
Low-sensitivity plus wild-type GR gene haplotypes (n = 12)0.94(–3.59 to 5.46)0.65
High-sensitivity GR gene haplotype (n = 38)–1.35(–2.67 to –0.02)0.05
Interaction0.43
Pooled (n = 50)–0.93(–2.27 to 0.41)0.17
Mixed Type (n = 28)0.66(–1.40 to 2.72)0.51
Total Cohort (n = 78)–0.36(–1.46 to 0.74)0.51

Abbreviations: CI, confidence interval; GR, Glucocorticoid receptor.

The relationship between ICS dose 1 day before the Corticotropin test (μg) and stimulated cortisol concentrations at baseline for the high-sensitivity glucocorticoid receptor gene haplotype group compared with the low-sensitivity and wild-type glucocorticoid receptor gene haplotype group.

Abbreviations: ICS, inhaled corticosteroid; GR, glucocorticoid receptor. Abbreviations: CI, confidence interval; GR, Glucocorticoid receptor. There was no difference between corticotropin stimulated plasma cortisol or metabolic disorders in patients with the high-sensitivity haplotypes vs. low-sensitivity plus wild-type haplotypes (p > 0.05; Table 6).
Table 6

Cortisol and Metabolic outcomes in patients with high-sensitivity haplotypes vs. low-sensitivity plus wild-type haplotypes.

OutcomeBcl1 or N363S (n = 38) High-sensitivity GR gene haplotypesER22/23EK and 9β (n = 12) Low-sensitivity plus wild-type GR gene haplotypesUnadjusted p-value*Pearson’s R
Basal cortisol [nmol/L]362 (325 to 398)307 (256 to 357)0.120.22
Stimulated cortisol [nmol/L]675 (622 to 728)655 (555 to 756)0.710.06
Adrenal suppression n (%)2 (5.4)00.43–0.11
HbA1c [mmol/mol]39.8 (37.4 to 42.3)40.0 (37.9 to 42.1)0.94–0.01
P1NP [μg/L]39.5 (32.7 to 46.2)41.8 (28.8 to 54.8)0.73–0.05
CTX [ng/L]194.4 (144.4 to 244.3)247.4 (141.9 to 352.9)0.31–0.05
Systolic blood pressure [mm Hg]137 (130 to 144)141 (127 to 155)0.62–0.07
Diastolic blood pressure [mm Hg]78 (74 to 82)77 (70 to 85)0.820.03
Pulse [heart rate/min]84 (78 to 90)80 (71 to 88)0.440.11
Waist measurement [cm]97.6 (91.6 to 103.7)99.1 (90.3 to 107.9)0.81–0.04
Hip measurement [cm]102.8 (98.5 to 107)102.3 (95.1 to 109.5)0.920.02
HDL cholesterol [mmol/L]1.6 (1.4 to 1.8)1.3 (1.1 to 1.6)0.150.21
LDL cholesterol [mmol/L]2.7 (2.4 to 3.1)2.6 (2.2 to 3.0)0.730.05
VLDL cholesterol [mmol/L]0.7 (0.6 to 0.9)0.7 (0.5 to 0.9)0.880.02
Triglycerides [mmol/L]1.6 (1.3 to 1.9)1.6 (1.2 to 1.9)0.830.03
CAT score20.219.30.730.05

Data are expressed as medians (interquartile range) unless otherwise stated. Abbreviations: HbA1c, glycated hemoglobin; P1NP, procollagen type I N-terminal propeptide; CTX, C-terminal telopeptide of type 1 collagen; CAT, COPD assessment test; HDL, high-density lipoprotein; LDL, low-density lipoprotein; VLDL, very-low-density lipoprotein. *We planned to apply the Bonferroni correction. However, none of the p-values were significant. Therefore, we did not adjust for multiple testing.

Data are expressed as medians (interquartile range) unless otherwise stated. Abbreviations: HbA1c, glycated hemoglobin; P1NP, procollagen type I N-terminal propeptide; CTX, C-terminal telopeptide of type 1 collagen; CAT, COPD assessment test; HDL, high-density lipoprotein; LDL, low-density lipoprotein; VLDL, very-low-density lipoprotein. *We planned to apply the Bonferroni correction. However, none of the p-values were significant. Therefore, we did not adjust for multiple testing.

4. Discussion

In this study, we found that 5% of patients exhibited insufficient glucocorticoid function 30 days after undergoing treatment for COPD exacerbation, and there was a clear association with concomitant ICS dose. Compared with the ER22/23EK, 9β and wild-type haplotypes, the Bcl1 and N363S haplotypes were not associated with an increased risk of adrenal suppression or metabolic disorders in patients with COPD exacerbation treated with glucocorticoids. In addition, there was no difference between carriers and non-carriers of any of the four gene polymorphisms in terms of stimulated cortisol concentrations. Here, we determined the prevalence of adrenal suppression 1 month after exacerbation in a cohort of patients with severe COPD, 49% of whom received ICS treatment. We would expect more patients to exhibit insufficiency immediately after exacerbation. Previous research has shown that several patients were insufficient soon after discontinuation of oral glucocorticoids, although many regained adrenal function in the weeks and months afterward; however, a few of these patients remained insufficient several years later or for the rest of their lives [22]. This patient group, with severe COPD, are at risk from repeated courses of glucocorticoid treatment, which may result in suppression of the HPA axis and the development of chronic adrenal insufficiency. Clinicians should be aware of this risk to ensure correct clinical management of such patients. We did find a correlation between daily ICS dose and adrenal suppression (Fig 2) in the high-sensitivity GR gene haplotype group, although a higher proportion of patients in the low-sensitivity plus wild-type GR gene haplotype group received ICS treatment. Similarly, previous studies found that different genotypes were associated with ICS-induced adrenal suppression in children with asthma [23-25]. One of these studies, a genome-wide association study (n = 407), found that a common variant in the PDGFD locus was associated with an increased risk of adrenal suppression. Unlike our study, these analyses were performed in a cohort of children with less severe disease, and patients were presumably treated with fewer glucocorticoid rescue courses. Other genetic variants are reportedly relevant for glucocorticoid sensitivity, but currently none of these have been introduced as biomarker in routine clinical practice. Biomarkers predicting the risk of adrenal insufficiency might enable clinicians to inform patients about the level of risk and to train patients to recognize factors that may increase this risk level (such as infection, trauma, or surgery). Increasing awareness of the importance of glucocorticoid supplements in these situations would also reduce the risk of adrenal crisis. The effects of glucocorticoids on tissues are influenced by glucocorticoid sensitivity, which may depend partly on functional SNPs in the GR gene. Dexamethasone suppression testing has shown that the Bcl1 haplotype increases glucocorticoid sensitivity in vivo [26], and this is correlated with increasing BMI and central adiposity, as well as insulin resistance [27]. Several SNPs in the GR gene influence sensitivity to glucocorticoids and have been linked with metabolic syndromes. However, the data include discrepancies, perhaps due to heterogeneity among the studied populations and the limited number of samples [13]. Glucocorticoids are widely used to treat a variety of lung diseases including COPD, asthma and interstitial lung diseases, and the effects of glucocorticoid treatment vary considerably among patients. Some patients appear to respond well to glucocorticoid therapy but also develop serious side effects. In contrast, other patients require very high glucocorticoid doses to achieve clinical effects and do not exhibit side effects [28]. Previous studies have indicated a relationship between altered glucocorticoid sensitivity mediated by the Bcl1 and ER22/23EK polymorphisms of the GR gene and changes in body composition and metabolism in healthy subjects [26, 28]. However, in our study, we found no apparent difference between subjects with Bcl1 or N363S polymorphisms and those with ER22/23EK or 9β polymorphisms in terms of metabolic disorders. This may be due to differences in subject selection (i.e., healthy volunteers vs. patients with COPD), methodology, the small sample size and risk of type 2 error. Another study found a correlation between the Bcl1 polymorphism and central adiposity, impaired glucose tolerance, and dyslipidemia in patients with Addison’s disease [29]. However, these results were obtained from a more heterogeneous study population than ours (i.e., including differences in disease duration, glucocorticoid type, and dose). Most of the effects of glucocorticoids are probably mediated by the GR. However, the response to glucocorticoids varies considerably among individual subjects, as shown by the variation in suppression in response to 0.25 mg of dexamethasone. Several polymorphisms in the gene encoding the GR have been described. However, it is unclear to what extent the observed variations in response are due to GR polymorphisms or other factors. A major strength of this study was that for the first time, we were able to study the relationship between GR haplotypes and adrenal suppression in patients with COPD 1 month after acute exacerbations were treated with oral glucocorticoids in addition to standard treatment. This relationship is important because many patients receive frequent treatments with glucocorticoids. Moreover, our homogeneous patient population also exhibited many comorbidities. Patients undergoing permanent systemic glucocorticoid therapy were not included because we were primarily interested in investigating patients who received a short course of glucocorticoids for a COPD exacerbation. All the cortisol analyses were performed in the same laboratory and with the same method as the earlier study [19]. Furthermore, our study population may be considered representative of a larger population because we included patients with COPD but had few exclusion criteria. A major limitation of our study was that few patients could be included in the comparison analysis. In small study populations like ours, there is a greater risk that any relationships observed are coincidental, and there is also a greater risk of overlooking genuine relationships. However, significant associations between genetic polymorphisms and severe adverse drug reactions have previously been identified from small cohorts and led to changes in clinical practice [30]. It has previously been shown that GR is involved in iatrogenic suppression of the HPA axis [31, 32]. The most common causes of adrenal insufficiency are otherwise pituitary tumors, adrenal hemorrhage, infections, and autoimmune disease [33]. To our knowledge, none of our patients had any of these conditions. Unfortunately, we were unable to obtain the required number of patients with prespecified haplotypes that was suggested by the power calculation. Combining low-sensitivity GR gene haplotypes with wild-type haplotypes is a limitation of our study. Had we only included low-sensitivity GR gene haplotypes, we would have required many more patients. We decided that it was unnecessary to include more patients to test our hypothesis. We acknowledge that having low-sensitivity and high-sensitivity GR gene haplotype groups and excluding patients with wild-type haplotypes would have been optimal. Also, it would have been interesting to consider the effect of the different haplotypes present in the mixed genotype and wild type group, but this was not possible with the obtained study sample size. However, separate analyses of each of the SNPs from all 78 patients also found no correlation. Therefore, it is unlikely that a large effect has been overlooked. Nonetheless, our results will need to be validated by larger studies in the future. In addition, our cohort included many older patients with substantial comorbidities that may mask the effects of GR polymorphisms. Further studies, involving ex vivo models and reproduced alleles on plasmids, may validate the study rationale.

5. Conclusions

Our findings suggest that the Bcl1 and N363S gene polymorphisms did not increase the risk of acute adrenal suppression in adults undergoing treatment with systemic glucocorticoids for COPD exacerbations. However, larger studies are needed to confirm this conclusion. Perhaps future studies applying whole-genome sequencing will identify other polymorphisms that may influence responses to glucocorticoids, including potential side effects. 24 Jun 2021 PONE-D-21-06570 Adrenal suppression in patients with chronic obstructive pulmonary disease treated with glucocorticoids: role of specific glucocorticoid receptor polymorphisms PLOS ONE Dear Dr. Pradeesh Sivapalan, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. The manscript is interesting but it needs appropriate revision following reviewers' suggestions in order to reach the standard of the journal. Please submit your revised manuscript by July 30. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript: A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see:  http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols . Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at  https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols . We look forward to receiving your revised manuscript. Kind regards, Fabio Luigi Massimo Ricciardolo Academic Editor PLOS ONE Journal Requirements: When submitting your revision, we need you to address these additional requirements. 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf 2. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. In your revised cover letter, please address the following prompts: a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially identifying or sensitive patient information) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent. b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. Please see http://www.bmj.com/content/340/bmj.c181.long for guidelines on how to de-identify and prepare clinical data for publication. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. We will update your Data Availability statement on your behalf to reflect the information you provide. Additional Editor Comments (if provided): The manucript is interesting but the authors should improve it following the reviewers' suggestions. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: No ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Manuscript number: PONE-D- 21-06570 Adrenal suppression in patients with chronic obstructive pulmonary disease treated with glucocorticoids: role of specific glucocorticoid receptor polymorphisms Sivapalan and co-workers investigated the possible association between single-nucleotide polymorphisms (SNPs) of glucocorticoid receptor (GR) and metabolic disorders in patients with chronic obstructive pulmonary disease (COPD). In particular, the authors focused on the connection between GR haplotypes and adrenal suppression in patients with COPD following administration of systemic glucocorticoid (therapy for COPD exacerbation treatment). The authors conclude that COPD patients treated with systemic GC for their exacerbation and characterized by BclI and N363S gene polymorphisms did not have a major risk of acute adrenal suppression or metabolic disorders. It is an interesting study, but the following should be addressed: Major comments: 1) The author in the Material and Methods section not reported the primer sequence used for genotyping the four GR polymorphisms. Please provide this information; it is useful for the readers that want to perform a similar analysis. 2) Please provide a new table with the clinical, functional and biologic characteristics of all 77 patients included in the study: i.e. the prevalence of male and female, COPD step based on GOLD guidelines, age, BMI, etc. 3) on Results section authors affirm that: “the ischaemic heart disease, which seemed more prevalent in the low plus wild type (25%) than 139 in the high (3%) GC-sensitivity group.” In my opinion, it is necessary to report this statistical significance in Table 1. This could be misleading for the readers. 4) Page 4 lines 131-134 authors underline that: “We found a negative association between male gender and stimulated cortisol response ( Rho = -0.24, p = 0.042), but no correlation to other possible confounders: BMI (Rho = -0.15, p =133 0.22), age (Rho = 0.06, p = 0.63), accumulated GC use 6 months before test (Rho = -0.14, p = 0.23) and days since completed GCs (Rho = 0.09, p = 0.47)”. Please provide a table or figure that show these findings. Minor comments 1) Page 2, line 65: provide reference. 2) The authors did not indicate the inhaled corticosteroid considered for the analyses (beclomethasone or fluticasone). Please provide this information. 3) Page 3, line 97: replace the square with the symbol β. 4) Page 8, lines 225-227: consider moving the sentence in the “Corticotropin test” (Materials and Methods section). Reviewer #2: In the present study, Sivapalan et al evaluate the role of glucocorticoid receptor polymorphisms in the development of adrenal suppression following ICS treatment for COPD exacerbations. As rightly pointed out in the discussion, uniting subjects with low-sensitive haplotypes with mixed ones (wild-type) does not make particular sense, if not to increase the numerosity. In this way, however, the real comparison between low-sensitive and high-sensitive is lost. In fact, I would expect wild-types to have an intermediate behavior between low- and high-sensitive haplotypes. How many subjects are actually with low-sensitive haplotypes and how many are wild-type? Furthermore: - The authors enroll 77 patients, but the description in table 1 is only about 50. What characteristics do these additional 27 have and why were they excluded? - What is the real distribution of haplotype sets in the population? The individual SNPs are instead reported. - In estimating the sample size, how do the authors define the reported corticotropin values ​​and why do they choose a 3:1 ratio? - In the materials and methods it is not clear how the continuous data are expressed. - In Table 3 and Figure 2, the authors found an inverse association between ICS and P-cortisol only in high-sensitive subjects (which are 2.5 times more numerous than low + wild-types). - Figure 1 shows a value probably to be considered an outlier. - Tables are not numbered consecutively - There are typos The work is interesting, however, it should be re-evaluated with a better subdivision of the groups. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 17 Sep 2021 Please see the attached file. Submitted filename: point_point_response_11SEP2021.docx Click here for additional data file. 22 Nov 2021
PONE-D-21-06570R1
Adrenal suppression in patients with chronic obstructive pulmonary disease treated with glucocorticoids: Role of specific glucocorticoid receptor polymorphisms
PLOS ONE Dear Dr. Pradeesh Sivapalan, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. ============================== ACADEMIC EDITOR: the manuscript needs an additional revision following the comments by the reviewer 2. ============================== Please submit your revised manuscript by Jan 06 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Fabio Luigi Massimo Ricciardolo Academic Editor PLOS ONE Journal Requirements: Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. Additional Editor Comments (if provided): The manuscript has been significantly improved but it needs an additional revision following suggestions by one reviewer. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The authors accurately reviewed the manuscript and is now considered to be suitable for publication in Plos One. Reviewer #2: Sivapalan and collaborators have significantly improved their manuscript over the previous version. However, this version still had pitfalls and unclear passages, albeit of minor importance. Why did the number of enrolled patients go from 77 to 78? In the description of the numerosity calculation, the authors wrote: "16 and 48 patients were included in each of the two groups (i.e., 64 patients in total). Assume that 20% of the recruited patients would not be placed in either of the two groups, additional 13 patients were needed, resulting in recruitment of 78 patients to the study". However, adding 13 to 64, the result is 77, as in the previous version of the manuscript, and not 78. Furthermore, a posteriori, it would have been helpful to predict the non-usability of data from "mixed genotype" subjects to recruit more individuals. Had the authors designed the used primers? If so, how were primers designed? Otherwise, what is their source? In the text, the descriptions of tables 3 and 5 are missing. Furthermore, given the small population, it would have been interesting to evaluate the characteristics of the "mixed genotype" population. Would intermediate features be conceivable, like wild-type, or would one component prevail? ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.
10 Dec 2021 Dr. Emily Chenette Editor-in-Chief PLOS ONE Manuscript reference number: PONE-D-21-06570 10 December 2021 Dear Dr. Chenette, Thank you for the invitation to submit another revised version of our paper: PONE-D-21-06570 ‘Adrenal suppression in patients with chronic obstructive pulmonary disease treated with glucocorticoids: role of specific glucocorticoid receptor polymorphisms. We would like to thank the reviewers and editors for their valuable comments. We have revised the paper once more according to the comments by Reviewer #2, and we believe it has been substantially improved. Below are our point-by-point responses to the comments made by the reviewers. The reviewers’ comments are listed ‘C, CA, CB, etc.’ and our responses are marked ‘R_C, R_CA, R_CB etc.’ On behalf of the authors, Pradeesh Sivapalan MD PhD, Stina Borresen MD PhD, Marianne Klose MD PhD and Professor Ulla Feldt Rasmussen & Professor Jens-Ulrik Jensen MD PhD Reviewer #1 C: The authors accurately reviewed the manuscript and is now considered to be suitable for publication in Plos One. R_C: Thank you, we are pleased to hear so. Reviewer #2 This reviewer’s comment has been split up in sections and answered accordingly. C-A: Sivapalan and collaborators have significantly improved their manuscript over the previous version. However, this version still had pitfalls and unclear passages, albeit of minor importance. R_C-A: Thank you for this comment. We have made substantial changes to clarify several passages, as seen in the new revised manuscript. C-B: […] Why did the number of enrolled patients go from 77 to 78? In the description of the numerosity calculation, the authors wrote: "16 and 48 patients were included in each of the two groups (i.e., 64 patients in total). Assume that 20% of the recruited patients would not be placed in either of the two groups, additional 13 patients were needed, resulting in recruitment of 78 patients to the study". However, adding 13 to 64, the result is 77, as in the previous version of the manuscript, and not 78. R_C-B: Thank you for this important comment. Unfortunately, we made a mistake in declaring 77 enrolled patients in the original manuscript. The correct number is 78. Also, it was unclear that the assumption was approximately 20% (i.e. 18%), thus resulting in 14 patients expected not to be placed in either group. It has now been clarified that the 14 additional patients enrolled was a decision based on the approximate assumption, and not exactly equal to the assumed. It now reads as follows: Page 6, lines 144-146: “Assuming that approximately 15-20% of the recruited patients would not be placed in either of the two groups, additional 11-16 patients were needed, resulting in a decided recruitment of 78 patients to the study.” C-C: […] Furthermore, a posteriori, it would have been helpful to predict the non-usability of data from "mixed genotype" subjects to recruit more individuals. R_C-C: Yes, we agree with the reviewer. Unfortunately, there was sparse data on COPD patients, so it was difficult to predict this in our power calculation. We must be aware of this in future studies in this area. C-D: […] Had the authors designed the used primers? If so, how were primers designed? Otherwise, what is their source? R_C-D: Yes, the primers were designed by the authors. This, and the design of the primers, has now been clarified in the revised manuscript. It now reads as follows: Page 5, lines 121-122: “Primers were designed using Primer-BLAST [16] and ordered through Eurofins[17].” C-E: […] In the text, the descriptions of tables 3 and 5 are missing. R_C-E: Thank you for this comment. We have now described table 3 and 5 in the manuscript. Please see below: Page 9, lines 182-184: “There was no correlation between accumulated systemic glucocorticoids and 30 min cortisol concentrations in the high-sensitivity haplotype group (p-value, 0.79) or the low-sensitivity plus wild-type haplotype group (p-value, 0.26) (Table 3).” Page 10, lines 201-204: “Carriers of the high-sensitivity GR gene haplotype exhibited a steeper decline in stimulated P-cortisol with increased ICS dose compared to patients with the low-sensitivity haplotype plus those with wild-type haplotypes (slope, –1.35 vs. 0.94; p = 0.17; Fig 2 and Table 5).” C-F: […] Furthermore, given the small population, it would have been interesting to evaluate the characteristics of the "mixed genotype" population. Would intermediate features be conceivable, like wild-type, or would one component prevail? R_C-F: Thank you for this valuable comment. Characteristics of the mixed genotype population has now been added to Table 1. No significant differences were observed. Mixed type has also been included in Table 3 and Table 5, as well as the total cohort. We agree it would be of great interest to analyse specific haplotypes in the mixed type group as well as the low- and wild groups individually. Power for such analyses, would though require a larger cohort, as multiple haplotypes are present in those groups. This has now been commented on in the discussion in the manuscript (page 14, lines 300-302): “Also, it would have been interesting to consider the effect of the different haplotypes present in the mixed genotype and wild type group, but this was not possible with the obtained study sample size.” Submitted filename: response_to_reviewers_10DEC2021.docx Click here for additional data file. 10 Jan 2022 Adrenal suppression in patients with chronic obstructive pulmonary disease treated with glucocorticoids: Role of specific glucocorticoid receptor polymorphisms PONE-D-21-06570R2 Dear Dr. Pradeesh Sivapalan, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Fabio Luigi Massimo Ricciardolo Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: 24 Jan 2022 PONE-D-21-06570R2 Adrenal suppression in patients with chronic obstructive pulmonary disease treated with glucocorticoids: Role of specific glucocorticoid receptor polymorphisms Dear Dr. Sivapalan: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Professor Fabio Luigi Massimo Ricciardolo Academic Editor PLOS ONE
  29 in total

1.  Glucocorticoid-induced adrenal insufficiency.

Authors:  A S Krasner
Journal:  JAMA       Date:  1999-08-18       Impact factor: 56.272

2.  Suppression and recovery of adrenal response after short-term, high-dose glucocorticoid treatment.

Authors:  C Henzen; A Suter; E Lerch; R Urbinelli; X H Schorno; V A Briner
Journal:  Lancet       Date:  2000-02-12       Impact factor: 79.321

3.  Increased glucocorticoid receptor beta in airway cells of glucocorticoid-insensitive asthma.

Authors:  Q A Hamid; S E Wenzel; P J Hauk; A Tsicopoulos; B Wallaert; J J Lafitte; G P Chrousos; S J Szefler; D Y Leung
Journal:  Am J Respir Crit Care Med       Date:  1999-05       Impact factor: 21.405

Review 4.  Predisposing factors for adrenal insufficiency.

Authors:  Stefan R Bornstein
Journal:  N Engl J Med       Date:  2009-05-28       Impact factor: 91.245

5.  Glucocorticoid resistance in asthma is associated with elevated in vivo expression of the glucocorticoid receptor beta-isoform.

Authors:  A R Sousa; S J Lane; J A Cidlowski; D Z Staynov; T H Lee
Journal:  J Allergy Clin Immunol       Date:  2000-05       Impact factor: 10.793

6.  Healthy glucocorticoid receptor N363S carriers dysregulate gene expression associated with metabolic syndrome.

Authors:  Christine M Jewell; Kevin S Katen; Lisa M Barber; Crystal Cannon; Stavros Garantziotis; John A Cidlowski
Journal:  Am J Physiol Endocrinol Metab       Date:  2016-09-06       Impact factor: 4.310

Review 7.  Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease: the GOLD science committee report 2019.

Authors:  Dave Singh; Alvar Agusti; Antonio Anzueto; Peter J Barnes; Jean Bourbeau; Bartolome R Celli; Gerard J Criner; Peter Frith; David M G Halpin; Meilan Han; M Victorina López Varela; Fernando Martinez; Maria Montes de Oca; Alberto Papi; Ian D Pavord; Nicolas Roche; Donald D Sin; Robert Stockley; Jørgen Vestbo; Jadwiga A Wedzicha; Claus Vogelmeier
Journal:  Eur Respir J       Date:  2019-05-18       Impact factor: 16.671

8.  BclI glucocorticoid receptor polymorphism is associated with greater body fatness: the Hoorn and CODAM studies.

Authors:  C C Geelen; M M van Greevenbroek; E F van Rossum; N C Schaper; G Nijpels; L M 't Hart; C G Schalkwijk; I Ferreira; C J van der Kallen; H P Sauerwein; J M Dekker; C D Stehouwer; B Havekes
Journal:  J Clin Endocrinol Metab       Date:  2013-02-07       Impact factor: 5.958

9.  Genetic associations of the response to inhaled corticosteroids in children during an asthma exacerbation.

Authors:  Ozlem Keskin; Ünal Uluca; Esra Birben; Yavuz Coşkun; Mehmet Yasar Ozkars; Mehmet Keskin; Ercan Kucukosmanoglu; Omer Kalayci
Journal:  Pediatr Allergy Immunol       Date:  2016-05-06       Impact factor: 6.377

Review 10.  Recent advances in the molecular mechanisms determining tissue sensitivity to glucocorticoids: novel mutations, circadian rhythm and ligand-induced repression of the human glucocorticoid receptor.

Authors:  Nicolas C Nicolaides; Evangelia Charmandari; George P Chrousos; Tomoshige Kino
Journal:  BMC Endocr Disord       Date:  2014-08-25       Impact factor: 2.763

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.