Literature DB >> 36229694

Association of serum zinc levels and symptom control of asthma in children and adolescents- a prospective observational study.

Sananganba Rajkumar1, Nowneet Kumar Bhat1, Vinod Kumar2, Rishi Bolia1, Prashant Kumar Verma1, Manish Kumar3, Swathi Chacham1, Anissa Atif Mirza4.   

Abstract

Dysregulation of zinc (Zn) homeostasis causes a shift in the Th1/Th2 balance towards a Th2 response, which may lead to a heightened inflammatory response. Asthma is associated with an exaggerated Th2 response to antigens. This study attempts to find the association of serum Zn with the status of symptom control of asthma in children and adolescents with bronchial asthma. A total of 67 asthmatic children, diagnosed as per Global Initiative for Asthma (GINA) 2019 guidelines, were included in the study. Symptom control of asthma was assessed by Asthma Control Test (ACT) and Childhood Asthma Control Test (C-ACT) scores. Spirometry was performed on those participants who were able to perform satisfactorily. Serum Zn was analyzed using the photometric method. Participants were divided into two groups: controlled and uncontrolled groups according to ACT/C-ACT score. Mean age of the participants was 10.78 ± 3.67 years. The mean S. Zn (µg/dL) was 136.97 ± 48.37. This study found a higher mean S. Zn value in the controlled asthma group as compared to the uncontrolled group (158.06 vs 129.23, p = 0.006). At a cutoff of S. Zn (µg/dL) ≥ 126.84, it predicted controlled asthma with a sensitivity of 89% and a specificity of 55%. No significant difference was found between the mean serum Zn levels in terms of age, sex, severity, and CRP levels.
CONCLUSION: A significant difference was observed between the mean value of Zn and symptom control of asthma (p = 0.006) with a weak positive correlation between the two which was statistically significant (rho = 0.26, p = 0.031). However, low levels of zinc were not significantly associated with symptom control of asthma. Thus, we conclude that maintaining an adequate zinc level could help in achieving better control of asthma in pediatric populations. WHAT IS KNOWN: • Zinc has a role in immunological response in the pathophysiology of immunological disorders such as bronchial asthma. WHAT IS NEW: • This study adds a significant association of serum zinc levels with symptom control of asthma in pediatric populations. • This study also gives a cut-off value of serum zinc level which predicts adequate symptom control of asthma.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Asthma Control Test; Asthma control; Serum zinc level

Year:  2022        PMID: 36229694      PMCID: PMC9560878          DOI: 10.1007/s00431-022-04656-9

Source DB:  PubMed          Journal:  Eur J Pediatr        ISSN: 0340-6199            Impact factor:   3.860


Introduction

Asthma is one of the most common non-communicable diseases (NCDs) affecting both children and adults. It affected around 262 million people in 2019 and caused 461,000 death all over the world [1]. Mortality due to asthma mostly occurs in low- and middle-income countries (LMICs) where under-diagnosis and under-treatment are a challenge [2]. As there is no permanent cure for asthma, the goal of asthma management is directed to achieve optimal control of symptoms, maintain normal activity, minimize the risk of future exacerbations, and minimize the side effects related to treatment [3, 4]. Zinc (Zn) is an important trace element that has a critical role in various physiological processes such as growth and development, maintenance and priming of the immune system, tissue repair, and regeneration. Zn has been shown to have a vital role as an anti-oxidant, microtubule stabilizer, anti-apoptotic agent, growth cofactor, and anti-inflammatory agent in various tissues [5]. Dysregulation of Zn homeostasis causes a shift in the Th1/Th2 balance towards a Th2 response, which may lead to a heightened inflammatory response. A fundamental abnormality in asthma is an exaggerated Th2 response to normally harmless environmental antigens. Th2 cells secrete cytokines that promote inflammation and stimulate B cells to produce IgE and other antibodies. These cytokines include IL-4, which stimulates the production of IgE; IL-5, which activates locally recruited eosinophils; and IL-13, which stimulates mucus secretion from bronchial submucosal glands and also promotes IgE production by B cells [6-8]. As a result, greater demand of Zn by the immune system could be a contributing factor to Zn deficiency in inflammatory conditions like asthma. Only a few studies in the literature show low levels of Zn in patients with uncontrolled asthma, especially in children. Furthermore, there is a paucity of evidence examining whether alteration in serum levels of zinc adversely affects symptom control in children and adolescents with asthma. This study is proposed to explore this research question.

Materials and method

This was a hospital-based cross-sectional study carried out from January 2020 to June 2021. A total of 67 children and adolescents aged 5–18 years, attending outpatient/inpatient department, diagnosed with bronchial asthma as per GINA 2019 guidelines were included in the study (Table 1). Children with conditions that could affect serum zinc levels such as acute infections; systemic diseases like liver, renal, endocrine, cardiovascular, and immunodeficiency diseases; severe malnutrition; systemic steroids; diuretics; proton-pump inhibitors; and magnesium supplementations were excluded from the study. A pre-structured proforma was used to collect the demographic data, age of onset of the disease, symptomatology, duration of the disease, triggering factors, number of exacerbations, treatment details, and adherence to the treatment. All the patients were subjected to complete physical examination, complete blood count (CBC) with differential white cell counts, C-reactive protein (CRP), serum magnesium levels, and ACT/C-ACT. Under all aseptic precautions, 5 ml of venous blood samples was collected from each patient into 2 vacutainer vials. Two milliliters was poured into an EDTA vial for CBC and the remaining 3 ml into a plain vial for CRP and zinc levels. Zinc deficiency is defined as S. Zn level < 60mcg/dL. The CBC samples were analyzed using Beckman Coulter LH 750 Hematology. CRP and zinc levels were analyzed using Beckman Coulter AU680/AU480, using a photometric method in the biochemistry laboratory. Spirometry standardized as per American Thoracic Society guidelines was also done for those patients who were cooperative and who could do it satisfactorily (Table 2). RMS Helios 401 PC-based spirometer was used for spirometry. Asthma Control Test (ACT) was used to assess the status of symptom control in adolescents aged 12–18 years. Childhood Asthma Control Test (C-ACT) was used for children aged 5 to 11 years. Cases were categorized into the following three groups:
Table 1

Socio-demographic, asthma severity, and symptoms control of study participants

ParametersMean ± SD || median (IQR) || min–max || frequency (%)
Age (years)10.78 ± 3.67 || 11.00 (8.00–14.00) || 5.00–18.00
Sex
  Male43 (64.2%)
  Female24 (35.8%)
Socio-economic status
  Upper1 (1.5%)
  Upper middle13 (19.4%)
  Lower middle33 (49.3%)
  Upper lower20 (29.9%)
Age of onset (years)6.54 ± 4.03 || 6.00 (4.00–9.00) || 0.50–16.00
Allergic rhinitis50 (74.6%)
Diet
  Vegetarian48 (71.6%)
  Mixed19 (28.4%)
Family history (yes)19 (28.4%)
Severity
  Intermittent23 (34.3%)
  Mild persistent26 (38.8%)
  Moderate persistent16 (23.9%)
  Severe persistent2 (3.0%)
Asthma control
  Controlled18 (26.9%)
  Uncontrolled49 (73.1%)
ACT/C-ACT score17.60 ± 4.41 || 17.00 (15.00–22.00) || 7.00–27.00
Table 2

S. Zinc, CRP level, and FEV1(spirometry) of study participants

InvestigationsMean ± SD || median (IQR) || min–max || frequency (%)
FEV1 (%)79.12 ± 9.49 || 78.00 (72.50–86.00) || 46.00–98.00
FEV1
  < 80%22 (51.2%)
  > 80%21 (48.8%)
CRP (mg/L)5.61 ± 5.56 || 3.20 (2.00–8.10) || 0.08–23.00
CRP
  < 6 mg/L45 (67.2%)
  > 6 mg/L22 (32.8%)
S. Zinc (µg/dL)136.97 ± 48.37 || 130.36 (106.07–162.74) || 50.84–293.00
S. Zinc
  < 60 µg/dL3 (4.5%)
  ≥ 60 µg/dL64 (95.5%)
Children with ACT/C-ACT > 19 and ACT/C-ACT ≤ 19. Children with FEV1 > 80% and FEV1 < 80% of the predicted value on spirometry. Children with CRP < 6 mg/L and CRP > 6 mg/L. Socio-demographic, asthma severity, and symptoms control of study participants S. Zinc, CRP level, and FEV1(spirometry) of study participants

Statistical analysis

SPSS version 23 was used for analysis. Chi-square or Fisher exact test was used for categorical variables. Independent sample t-test and appropriate non-parametric tests were used when comparing two groups for continuously and non-normally distributed data, respectively. Linear correlation between two continuous variables was done using Pearson’s correlation (normally distributed data) and Spearman’s correlation (for non-normally distributed data). For all comparisons, 5% probability (p-value less than 0.05) was considered significant. The Institute Ethics Committee approved the study. Informed consent was obtained from parents/legally authorized representatives.

Results

We screened a total of 72 children with asthma. Of 72 children, five were excluded as two had the existing nephrotic syndrome, two had acute febrile illnesses, and one was on systemic corticosteroids. Finally, we evaluated 67 asthmatic children, aged 5–18 years with males comprising 64.2% and females being 35.8% with male to female ratio: 1.8:1. The mean age of the participants was 10.78 ± 3.67 years. Most of the participants belonged to the age group 5–12 years (64.2%) (n = 43). Most of the participants belonged to the lower middle class (49.3%) which was followed by the upper lower class (29.9%), upper-middle-class (19.4%), and upper class (1.5%). The mean age of onset of symptoms was 6.54 ± 4.03 years. Nineteen children (28.4%) had a history of asthma in family members. Most of the participants were vegetarian by diet (71.6%). Most of the patients were with intermittent (34.3%) and mild persistent severity (38.8%) of asthma. Eighteen (26.9%) of the participants belonged to the controlled group. The majority of the study subjects belonged to the uncontrolled group, comprising 73.1% (n = 49). Twenty-two children (51.2%) had FEV1% < 80% and 21 (48.8%) had FEV1% > 80%. The mean S. Zinc (µg/dL) was 136.97 ± 48.37. Three (4.5%) of the participants had S. Zinc: < 60 µg/dL. Sixty-four (95.5%) of the participants had S. Zinc: ≥ 60 µg/dL. The mean age (years) of the patients in the uncontrolled group was significantly higher than the patients in the controlled group (11.37 ± 3.76 vs 9.19 ± 2.97, p-value 0.034). There was no significant difference between asthma control in regards to sex, socio-economic status, family history, and BMI. Significant difference was found between level of asthma control and CRP levels with patients in controlled asthma having lower CRP levels < 6 mg/L [16 (88.9%) vs 29 (59.2%), p = 0.022]. No significant difference was found between the mean of S. Zinc levels in terms of age, sex, severity, and CRP levels. However, a statistically significant difference was found between the mean of serum zinc levels and level of symptom control of asthma with patients in the controlled group having higher zinc value as compared to the uncontrolled group [158.06 (41.71) vs 129.23 (48.71), p = 0.006]. A weak positive correlation was observed between ACT/C-ACT score and S. Zinc (mg/dL) and this was statistically significant (rho = 0.26, p = 0.031). No significant difference was observed between hypozincaemia (S. Zn < 60 µg/dL) in terms of severity, asthma control, and CRP levels. The area under the ROC curve (AUROC) (Fig. 1) for S. Zinc (µg/dL) predicting controlled asthma vs uncontrolled asthma was 0.721 (95% CI: 0.594–0.848), thus demonstrating fair diagnostic performance. It was statistically significant (p = 0.006). At a cut-off of S. Zinc (µg/dL) ≥ 126.84, it predicted controlled asthma with a sensitivity of 89% and a specificity of 55% (Table 3).
Fig. 1

ROC curve analysis showing diagnostic performance of S. Zinc (µg/dL) in predicting asthma control: controlled vs uncontrolled (n = 67). The area under the ROC curve (AUROC) for S. Zinc (µg/dL) predicting the level of asthma control (controlled vs uncontrolled) was 0.721 (95% CI: 0.594–0.848), thus demonstrating fair diagnostic performance. It was statistically significant (p = 0.006). A cut-off of S. Zinc (µg/dL) ≥ 126.84 predicted asthma control with a sensitivity of 89% and a specificity of 55%. The odds ratio (95% CI) for controlled asthma, when S. Zinc (µg/dL) is ≥ 126.84, was 6.14 (1.57–23.94). The relative risk (95% CI) of controlled asthma, when S. Zinc (µg/dL) is ≥ 126.84, was 4.05 (1.44–12.37)

Table 3

Association between level of asthma control and various parameters

ParametersAsthma controlp-value
Controlled (n = 18)Uncontrolled (n = 49)
Age (years)***9.19 ± 2.9711.37 ± 3.760.034a
Sex0.372b
  Male10 (55.6%)33 (67.3%)
  Female8 (44.4%)16 (32.7%)
Socio-economic status0.618c
  Upper0 (0.0%)1 (2.0%)
  Upper middle2 (11.1%)11 (22.4%)
  Lower middle11 (61.1%)22 (44.9%)
  Upper lower5 (27.8%)15 (30.6%)
Severity*** < 0.001c
  Intermittent15 (83.3%)8 (16.3%)
  Mild persistent3 (16.7%)23 (46.9%)
  Moderate persistent0 (0.0%)16 (32.7%)
  Severe persistent0 (0.0%)2 (4.1%)
ACT/C-ACT score***23.00 ± 2.0315.61 ± 3.22 < 0.001d
FEV1 (%)***88.33 ± 3.9776.68 ± 9.03 < 0.001a
FEV1*** < 0.001c
 < 80%0 (0.0%)22 (64.7%)
 > 80%9 (100.0%)12 (35.3%)
CRP (mg/L)3.45 ± 2.696.41 ± 6.130.092a
CRP***0.022b
 < 6 mg/L16 (88.9%)29 (59.2%)
 > 6 mg/L2 (11.1%)20 (40.8%)
S. Zinc (µg/dL)***158.06 ± 41.71129.23 ± 48.710.006a
S. Zinc0.558c
 < 60 µg/dL0 (0.0%)3 (6.1%)
 ≥ 60 µg/dL18 (100.0%)46 (93.9%)

***Significant at p < 0.05

aWilcoxon-Mann–Whitney U test

bchi-squared test

cFisher’s exact test

dt-test

ROC curve analysis showing diagnostic performance of S. Zinc (µg/dL) in predicting asthma control: controlled vs uncontrolled (n = 67). The area under the ROC curve (AUROC) for S. Zinc (µg/dL) predicting the level of asthma control (controlled vs uncontrolled) was 0.721 (95% CI: 0.594–0.848), thus demonstrating fair diagnostic performance. It was statistically significant (p = 0.006). A cut-off of S. Zinc (µg/dL) ≥ 126.84 predicted asthma control with a sensitivity of 89% and a specificity of 55%. The odds ratio (95% CI) for controlled asthma, when S. Zinc (µg/dL) is ≥ 126.84, was 6.14 (1.57–23.94). The relative risk (95% CI) of controlled asthma, when S. Zinc (µg/dL) is ≥ 126.84, was 4.05 (1.44–12.37) Association between level of asthma control and various parameters ***Significant at p < 0.05 aWilcoxon-Mann–Whitney U test bchi-squared test cFisher’s exact test dt-test

Discussion

In our study, asthma prevalence was higher in boys than girls. A possible explanation for this could be that the growth of large airways lags behind the growth of lung parenchyma leading to narrower airways in boys than girls and also there is an increased immunological response in boys than girls [9]. The mean age in our study was found to be 10.78 ± 3.67 years. In a similar cross-sectional study done by AbdulWahab et al. [10], the mean age of asthmatic children was 10.92 ± 1.81 years. The present study also showed a high proportion of allergic rhinitis (74.6%) in asthmatic patients. This supports the finding that over 80% of asthmatics have allergic rhinitis [11]. Our study found a statistically significant difference between two groups. i.e., controlled and uncontrolled groups in terms of distribution of CRP (p = 0.022). Larger proportions of participants in the uncontrolled group had CRP levels > 6 mg/L as compared to the controlled group (20, 40.8% vs 2, 11.1%). A similar finding was noted in a study done by Kilic et al. [12]. This finding strengthened our study as more uncontrolled cases based on ACT had significantly higher CRP than those in controlled cases as CRP is considered one of the sensitive markers of inflammation. The mean S. Zinc (µg/dL) was 136.97 ± 48.37 and 3 (4.5%) participants had S. Zinc: < 60 µg/dL. A cross-sectional study conducted by Ribeiro-Silva et al. [13] assessed the influence of serum zinc status on the prevalence of wheezing among 6–12 years children. They found mean serum zinc level was 114 ± 22.9 mcg/dL with a prevalence of serum zinc deficiency defined as S. Zn level < 70mcg/dL of 1.5% (95% CI 0.8–2.4). The study also showed a positive and significant association between low serum zinc levels and wheezing in children. The current study reported a statistically significant difference between the median of zinc (mg/dL) and the level of asthma control (159.24 vs 120.4, p = 0.006) and a weak positive correlation between ACT/C-ACT score and zinc levels which was statistically significant (rho = 0.26, p = 0.031). In a similar cross-sectional study done by AbdulWahab et al. [10], they found no statistically significant association between the degree of asthma control and zinc levels (mmol/L) among asthmatic patients (p = 0.053). Whereas, in a cross-sectional case–control study done by Andino et al. [14] assessing serum levels of vitamin A (mg/dL) and zinc (mg/L) among moderate to severe persistent asthmatic children aged 8–18 years, a significantly lower median serum zinc and vitamin A values were observed among asthma patients than those among control subjects (p = 0.0110 and p = 0.0303 respectively). In the study by Wahab et al., no significant correlation was found between the Zn level and FEV1% (p = 0.405) [10]. Various previous studies have shown a significant difference between mean zinc levels between asthmatic patients and healthy controls [15-19]. The plausible reason for such finding suggests the heterogenicity of these studies, small sample sizes, and various cut-off levels of zinc in the respective studies. Most of the studies compare the levels of zinc between asthmatic patients and healthy control groups. On the other hand, our study was one such study in which we evaluated the levels of serum zinc in asthmatic children between controlled asthma and uncontrolled asthma. Hence, our finding suggests the role of zinc in the level of control of asthma. The index study has also outlined the diagnostic performance of both serum zinc in predicting control of asthma. We have found a cut-off value of S. Zinc (µg/dL) ≥ 126.84 for predicting asthma control with a sensitivity of 89%, a specificity of 55%, and a high negative predictive value (93.1%, 95% C.I. 77–99). The diagnostic performance of the cut-off value of S. Zinc was statistically significant (p = 0.006). We observed that the cut-off value of zinc was on the higher limit of normal values of zinc, and this could suggest that an adequate amount of serum zinc level could help in better control of asthma. However, our study being a small observational study, a robust clinical trial is needed for it to be put into clinical practice. Our study is one of the few studies in pediatric asthma investigating the role of serum zinc in the status of symptom control of asthma. Participants included in the study conformed to GINA 2019 guidelines for diagnosis. Those asthmatic children and adolescents with acute infections; systemic diseases like liver, renal, endocrine, cardiovascular, and immunodeficiency diseases; severe malnutrition; taking systemic steroids; diuretics; proton-pump inhibitors; and zinc supplementations were excluded in the study that could affect the serum levels of zinc. Our study has limitations of being small sample size as the SARS-COV-2 pandemic affected significantly during the study period. The measurement of serum levels of zinc could be another limitation that may not be actual representations of total body stores. Measuring Zn levels in tissues such as RBCs, WBCs, muscle cells, nails, hairs, and urine may have given their true effect on asthma control, in addition to serum levels [20, 21].

Conclusion

We have found a significant difference between the mean value of zinc and symptom control of asthma with a weak positive correlation between the two which was statistically significant. However, low levels of zinc were not significantly associated with symptom control of asthma. Thus, we conclude that maintaining an adequate zinc level could help in achieving better control of asthma in pediatric populations. However, the underpower sample size could have limited our study result; hence, it is premature to say whether zinc supplementation has a role in the control of asthma; thus, further studies are still warranted.

What is Known:

• Zinc has a role in immunological response in the pathophysiology of immunological disorders such as bronchial asthma.

What is New:

• This study adds a significant association of serum zinc levels with symptom control of asthma in pediatric populations.

• This study also gives a cut-off value of serum zinc level which predicts adequate symptom control of asthma.

  20 in total

1.  The prevalence of wheezing and its association with serum zinc concentration in children and adolescents in Brazil.

Authors:  Rita de Cássia Ribeiro-Silva; Rosemeire Leovigildo Fiaccone; Maurício Lima Barreto; Luce Alves da Silva; Luis Fernandes Pereira Santos; Neuza Maria Alcantara-Neves
Journal:  J Trace Elem Med Biol       Date:  2014-03-10       Impact factor: 3.849

2.  Erythrocyte zinc levels in children with bronchial asthma.

Authors:  E Arik Yilmaz; S Ozmen; I Bostanci; E Dibek Misirlioglu; U Ertan
Journal:  Pediatr Pulmonol       Date:  2011-08-03

3.  Zinc and copper status in children with bronchial asthma and atopic dermatitis.

Authors:  M S el-Kholy; M A Gas Allah; S el-Shimi; F el-Baz; H el-Tayeb; M S Abdel-Hamid
Journal:  J Egypt Public Health Assoc       Date:  1990

4.  Concentrations of copper, zinc and various elements in serum of patients with bronchial asthma.

Authors:  H Vural; K Uzun; E Uz; A Koçyigit; A Cigli; O Akyol
Journal:  J Trace Elem Med Biol       Date:  2000-06       Impact factor: 3.849

5.  Serum vitamin A, zinc and visual function in children with moderate to severe persistent asthma.

Authors:  Diana Andino; James Moy; Bruce I Gaynes
Journal:  J Asthma       Date:  2018-10-31       Impact factor: 2.515

6.  Serum level of vitamin D and trace elements in children with recurrent wheezing: a cross-sectional study.

Authors:  Metin Uysalol; Ezgi Pasli Uysalol; Yasin Yilmaz; Gunes Parlakgul; Tulin Ayse Ozden; Hayriye Vehid Ertem; Beyhan Omer; Nedret Uzel
Journal:  BMC Pediatr       Date:  2014-10-16       Impact factor: 2.125

Review 7.  Chronic inflammation and asthma.

Authors:  Jenna R Murdoch; Clare M Lloyd
Journal:  Mutat Res       Date:  2009-09-19       Impact factor: 2.433

8.  Serum Zinc Level in Asthmatic and Non-Asthmatic School Children.

Authors:  Atqah AbdulWahab; Aseel Zeidan; Tony Avades; Prem Chandra; Ashraf Soliman
Journal:  Children (Basel)       Date:  2018-03-16

9.  Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.

Authors: 
Journal:  Lancet       Date:  2020-10-17       Impact factor: 202.731

Review 10.  Serum zinc level and children`s asthma: A systematic and meta-analysis review article.

Authors:  Javad Ghaffari; Reza Alizadeh-Navaei; Abbas Dabaghzadeh; Negar Ghaffari
Journal:  Caspian J Intern Med       Date:  2021-04
View more
  1 in total

1.  Reply to Kivelä JM (2022) "Do methods in meta-analyses matter?"

Authors:  Ilari Kuitunen
Journal:  Eur J Pediatr       Date:  2022-11       Impact factor: 3.860

  1 in total

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