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Gonzalez-Uribe V, Romero-Tapia SJ, Castro-Rodriguez JA. Asthma Phenotypes in the Era of Personalized Medicine. J Clin Med 2023; 12:6207. [PMID: 37834850 PMCID: PMC10573947 DOI: 10.3390/jcm12196207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 10/15/2023] Open
Abstract
Asthma is a widespread disease affecting approximately 300-million people globally. This condition leads to significant morbidity, mortality, and economic strain worldwide. Recent clinical and laboratory research advancements have illuminated the immunological factors contributing to asthma. As of now, asthma is understood to be a heterogeneous disease. Personalized medicine involves categorizing asthma by its endotypes, linking observable characteristics to specific immunological mechanisms. Identifying these endotypic mechanisms is paramount in accurately profiling patients and tailoring therapeutic approaches using innovative biological agents targeting distinct immune pathways. This article presents a synopsis of the key immunological mechanisms implicated in the pathogenesis and manifestation of the disease's phenotypic traits and individualized treatments for severe asthma subtypes.
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Affiliation(s)
- Victor Gonzalez-Uribe
- Alergia e Inmunología Clínica, Hospital Infantil de México Federico Gómez, Ciudad de Mexico 06720, Mexico;
- Facultad Mexicana de Medicina, Universidad La Salle México, Ciudad de Mexico 14000, Mexico
| | - Sergio J. Romero-Tapia
- Health Sciences Academic Division (DACS), Universidad Juárez Autónoma de Tabasco, Villahermosa 86040, Mexico;
| | - Jose A. Castro-Rodriguez
- Department of Pediatric Pulmonology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile
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Ganekal P, Vastrad B, Kavatagimath S, Vastrad C, Kotrashetti S. Bioinformatics and Next-Generation Data Analysis for Identification of Genes and Molecular Pathways Involved in Subjects with Diabetes and Obesity. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59020309. [PMID: 36837510 PMCID: PMC9967176 DOI: 10.3390/medicina59020309] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/19/2023] [Accepted: 01/29/2023] [Indexed: 02/10/2023]
Abstract
Background and Objectives: A subject with diabetes and obesity is a class of the metabolic disorder. The current investigation aimed to elucidate the potential biomarker and prognostic targets in subjects with diabetes and obesity. Materials and Methods: The next-generation sequencing (NGS) data of GSE132831 was downloaded from Gene Expression Omnibus (GEO) database. Functional enrichment analysis of DEGs was conducted with ToppGene. The protein-protein interactions network, module analysis, target gene-miRNA regulatory network and target gene-TF regulatory network were constructed and analyzed. Furthermore, hub genes were validated by receiver operating characteristic (ROC) analysis. A total of 872 DEGs, including 439 up-regulated genes and 433 down-regulated genes were observed. Results: Second, functional enrichment analysis showed that these DEGs are mainly involved in the axon guidance, neutrophil degranulation, plasma membrane bounded cell projection organization and cell activation. The top ten hub genes (MYH9, FLNA, DCTN1, CLTC, ERBB2, TCF4, VIM, LRRK2, IFI16 and CAV1) could be utilized as potential diagnostic indicators for subjects with diabetes and obesity. The hub genes were validated in subjects with diabetes and obesity. Conclusion: This investigation found effective and reliable molecular biomarkers for diagnosis and prognosis by integrated bioinformatics analysis, suggesting new and key therapeutic targets for subjects with diabetes and obesity.
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Affiliation(s)
- Prashanth Ganekal
- Department of General Medicine, Basaveshwara Medical College, Chitradurga 577501, Karnataka, India
| | - Basavaraj Vastrad
- Department of Pharmaceutical Chemistry, K.L.E. College of Pharmacy, Gadag 582101, Karnataka, India
| | - Satish Kavatagimath
- Department of Pharmacognosy, K.L.E. College of Pharmacy, Belagavi 590010, Karnataka, India
| | - Chanabasayya Vastrad
- Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India
- Correspondence: ; Tel.: +91-9480073398
| | - Shivakumar Kotrashetti
- Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India
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Cai MX, Wei B, Liao SE, Fu JY, Liu YJ, Li LX. Association between ADRB2 regulatory region polymorphisms and susceptibility to childhood asthma. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2021; 23:1132-1140. [PMID: 34753545 DOI: 10.7499/j.issn.1008-8830.2108054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
OBJECTIVES To study the association of β2-drenergic receptor (ADRB2) regulatory region single nucleotides polymorphism (SNP)/haplotypes at rs11168070, rs17108803, rs2053044, rs12654778, rs11959427, and rs2895795 loci with childhood asthma. METHODS A total of 143 children with asthma who attended the hospital from October 2016 to October 2020 were enrolled as the asthma group, among whom 61 children had mild symptoms (mild group) and 82 children had moderate-to-severe symptoms (moderate-to-severe group). A total of 137 healthy children were enrolled as the control group. Peripheral venous blood samples were collected from the two groups. The SNaPshot SNP technique was used to analyze the SNP and haplotypes of the ADRB2 regulatory region at rs11168070, rs17108803, rs2053044, rs12654778, rs11959427, and rs2895795 loci in all children. The asthma group and the control group were compared in terms of the association of ADRB2 regulatory region SNP and haplotypes at the above six loci with susceptibility to asthma and severity of asthma. RESULTS Polymorphisms were observed in the ADRB2 regulation region at the above six loci in both the asthma group and the control group, with significant differences between the two groups in the distribution of genotype and allele frequencies at rs2895795 (-1429T /A), rs2053044(-1023G/A), and rs12654778 (-654G/A) loci (P<0.05). Linkage disequilibrium of SNP was observed at the six loci of the ADRB2 regulatory region.The haplotypes of TATGCT, TATGGC, and AGTGCT were associated with susceptibility to childhood asthma, among which TATGCT and TATGGC were risk factors for childhood asthma (OR=1.792 and 1.946 respectively, P<0.05), while AGTGCT was a protective factor (OR=0.523, P<0.05). CONCLUSIONS SNP/haplotype of the ADRB2 regulatory region is associated with the susceptibility to childhood asthma. The haplotypes of TATGCT and TATGGC formed by such SNP/haplotype are risk factors for childhood asthma, while AGTGCT is a protective factor.
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Affiliation(s)
- Ming-Xuan Cai
- General Hospital of the Northern Theater of the Chinese People's Liberation Army, Shenyang 110016, China
| | - Bing Wei
- General Hospital of the Northern Theater of the Chinese People's Liberation Army, Shenyang 110016, China
| | - Shi-E Liao
- General Hospital of the Northern Theater of the Chinese People's Liberation Army, Shenyang 110016, China
| | - Jin-Yue Fu
- General Hospital of the Northern Theater of the Chinese People's Liberation Army, Shenyang 110016, China
| | - Ya-Jun Liu
- General Hospital of the Northern Theater of the Chinese People's Liberation Army, Shenyang 110016, China
| | - Ling-Xue Li
- General Hospital of the Northern Theater of the Chinese People's Liberation Army, Shenyang 110016, China
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Inborn errors of immunity manifesting as atopic disorders. J Allergy Clin Immunol 2021; 148:1130-1139. [PMID: 34428518 DOI: 10.1016/j.jaci.2021.08.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 07/23/2021] [Accepted: 08/02/2021] [Indexed: 01/29/2023]
Abstract
Inborn errors of immunity are traditionally best known for enhancing susceptibility to infections. However, allergic inflammation, among other types of immune dysregulation, occurs frequently in patients with inborn errors of immunity. As such, the term primary atopic disorders (PADs) was recently coined to describe the group of heritable monogenic allergic disorders. It is becoming increasingly important for clinicians to recognize that allergic diseases such as food allergy, atopic dermatitis, and allergic asthma are expressions of misdirected immunity, and in patients who present with severe, early-onset, or coexisting allergic conditions, these can be indications of an underlying PAD. Identifying monogenic allergic disease through next-generation sequencing can dramatically improve outcomes by allowing the use of precision-based therapy targeting the patient's underlying molecular defect. It is therefore imperative that clinicians recognize PADs to be able to provide informed therapeutic options and improve patient outcomes. Here, we summarize the clinical features commonly seen with each of the currently known PADs, identify clinical warning signs that warrant assessment for PADs, and lastly, discuss the benefits of timely diagnosis and management of these conditions.
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Abstract
BACKGROUND During the last decade, a number of studies have evaluated the potential association between some genetic polymorphisms and childhood asthma risk, however, the results of published studies appear conflicts. The aim of the present study was to investigate association between genetic polymorphisms and pediatric asthma. METHODS Relevant studies were searched in PubMed, Embase, Web of Science, CNKI (China National Knowledge Infrastructure), Wanfang, and Weipu database. Pooled odds ratios (OR) with 95% confidence interval (CI) were calculated to evaluate the strength of the associations. RESULTS Fifty five case-control studies were finally included in this meta-analysis, including 17,971 pediatric asthma cases and 17,500 controls. Eighteen polymorphisms were identified, of which, 9 polymorphisms were found to be associated with asthma risk in overall populations: IL-13 +2044G/A, IL-4 -590C/T, ADAM33 F+1, ADAM33 T2, ADAM33 T1, ADAM33 ST+4,ORMDL3 rs7216389, VDR FokI, VDR TaqI. Furthermore, IL-13 +2044G/A, IL-4 -590C/T, ADAM33 T2, ADAM33 T1, VDR BsmI polymorphisms may cause an increased risk of asthma among Chinese children. CONCLUSIONS This meta-analysis found that IL-13 +2044G/A, IL-4 -590C/T, ADAM33 F+1, ADAM33 T2, ADAM33 T1, ADAM33 ST+4,ORMDL3 rs7216389, VDR FokI, and VDR TaqI polymorphisms might be risk factors for childhood asthma. Further study with large population and more ethnicities is needed to estimate these associations.
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Affiliation(s)
- Zhen Ruan
- Shaanxi University of Chinese Medicine
| | - Zhaoling Shi
- Children's Hospital the Second Affiliated Hospital of Shaanxi University of Chinese Medicine
| | - Guocheng Zhang
- Children's Hospital the Second Affiliated Hospital of Shaanxi University of Chinese Medicine
| | - Jiushe Kou
- The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China
| | - Hui Ding
- Children's Hospital the Second Affiliated Hospital of Shaanxi University of Chinese Medicine
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Genetic variability of five ADRB2 polymorphisms among Mexican Amerindian ethnicities and the Mestizo population. PLoS One 2019; 14:e0225030. [PMID: 31790415 PMCID: PMC6886845 DOI: 10.1371/journal.pone.0225030] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 10/28/2019] [Indexed: 01/02/2023] Open
Abstract
The Mexican population is characterized by high and particular admixture, and the picture of variants associated with disease remains unclear. Here we investigated the distribution of single nucleotide polymorphisms (SNPs) in the Mexican population. We focused on two non-synonymous and three synonymous SNPs in the beta-2 adrenergic receptor gene (ADRB2), which plays key roles in energy balance regulation. These SNPs were genotyped in 2,011 Mexican Amerindians (MAs) belonging to 62 ethnic groups and in 1,980 geographically matched Mexican Mestizos (MEZs). The frequency distribution of all five ADRB2 variants significantly differed between MAs, MEZs, and other continental populations (CPs) from the 1000 Genomes database. Allele frequencies of the three synonymous SNPs rs1042717A, rs1042718A, and rs1042719C were significantly higher in Mexican individuals, particularly among MAs, compared to in the other analyzed populations (P<0.05). The non-synonymous ADRB2 Glu27 allele (rs1042714G), which is associated with several common conditions, showed the lowest frequency in MAs (0.03) compared to other populations worldwide. Among MEZs, this allele showed a frequency of 0.15, intermediate between that in MAs and in Iberians (0.43). Moreover, Glu27 was the only SNP exhibiting a geographic gradient within the MEZ population (from 0.22 to 0.11), reflecting admixed mestizo ancestry across the country. Population differentiation analysis demonstrated that Glu27 had the highest FST value in MAs compared with Europeans (CEU) (0.71), and the lowest between MAs and Japanese (JPT) (0.01), even lower than that observed between MAs and MEZs (0.08). This analysis demonstrated the genetic diversity among Amerindian ethnicities, with the most extreme FST value (0.34) found between the Nahuatls from Morelos and the Seris. This is the first study of ADRB2 genetic variants among MA ethnicities. Our findings add to our understanding of the genetic contribution to variability in disease susceptibility in admixed populations.
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Association of β2-adrenergic receptor gene polymorphisms (rs1042713, rs1042714, rs1042711) with asthma risk: a systematic review and updated meta-analysis. BMC Pulm Med 2019; 19:202. [PMID: 31699066 PMCID: PMC6836544 DOI: 10.1186/s12890-019-0962-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 10/17/2019] [Indexed: 01/08/2023] Open
Abstract
Background The published data on the association between β2-adrenergic receptor gene polymorphisms and asthma susceptibility are inconclusive. To derive a more precise estimation of this association, a meta-analysis was performed. Methods A literature search was conducted in PubMed, Web of Science, EMBASE, Wanfang, and the China National Knowledge Infrastructure (CNKI) databases to identify eligible studies. The pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were used to calculate the strength of the association. A sensitivity analysis was performed to evaluate the influence of individual studies on the overall effect estimates, and funnel plots and Egger’s tests were used for indications of publication bias. Results Seventy three studies with three single nucleotide polymorphisms (SNP) (rs1042713, c.G46A, p.Gly16Arg; rs1042714, c.G79C, p.Gln27Glu; rs1042711, c.T-47C, p.Cys19Arg) were finally identified. For the rs1042713 polymorphism, no significant association with asthma risk was found in the overall population. However, a significant protective association was found in the Indian population in the dominant model comparison (OR = 0.72, 95% CI = 0.59–0.87, I2 = 25%, studies = 5, cases = 1190, controls = 1241). A significant risk association was found in the Arab population in the dominant model comparison (OR = 1.75, 95% CI = 1.14–2.70, I2 = 0%, studies = 2, cases = 307, controls = 361) and the homozygote model comparison (OR = 1.88, 95% CI = 1.17–3.02, I2 = 0%, studies = 2, cases = 307, controls = 361), and in the Hispanic-Latino population in the dominant model comparison (OR = 1.68, 95% CI = 1.10–2.55, I2 = 77%, studies = 5, cases = 1026, controls = 1412). For the rs1042714 polymorphism, we found a significant association in the recessive model comparison (OR = 0.83, 95% CI = 0.70–0.98, I2 = 44%, studies = 52, cases = 8242, controls = 16,832), the homozygote genotype comparison (OR = 0.84, 95% CI = 0.72–0.98, I2 = 25%, studies = 52, cases = 8242, controls = 16,832) and the allelic genetic model (OR = 0.91, 95% CI = 0.83–0.99, I2 = 59%, studies = 52, cases = 8242, controls = 16,832) in the overall population. When stratified by age, a significant association was also found in children in the recessive model comparison (OR = 0.59, 95% CI = 0.39–0.88, I2 = 58%, studies = 18, cases = 2498, controls = 2510) and the homozygote genotype comparison (OR = 0.63, 95% CI = 0.43–0.92, I2 = 46%, studies = 18, cases = 2498, controls = 2510), but not in adult. For the rs1042711 polymorphism, no significant associations were found in the any genetic model. Conclusion The meta-analysis suggests that the ADRB2 rs1042714 polymorphism has a protective association with asthma in the overall population and the pediatric subgroup.
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Zhao H, Wu X, Dong CL, Wang BY, Zhao J, Cao XE. Association Between ADRB2 Genetic Polymorphisms and the Risk of Chronic Obstructive Pulmonary Disease: A Case-Control Study in a Chinese Population. Genet Test Mol Biomarkers 2017; 21:491-496. [PMID: 28753063 DOI: 10.1089/gtmb.2017.0030] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE This study was designed to investigate the association between single nucleotide polymorphisms (SNPs) of the β2-adrenergic receptor (ADRB2) gene and the risk of chronic obstructive pulmonary disease (COPD) in a Chinese population. METHODS From January 2010 to October 2014, 261 COPD patients were selected as the case group and 239 healthy subjects were selected as the control group. Pulmonary function tests were performed to detect forced vital capacity (FVC), 1-s forced expiratory volume (FEV1), and FEV1/FVC (%). rs1042711, rs1042714, and rs1042718 were selected as tagSNPs of the ADRB2 gene from the HapMap database in accordance with previous studies. The ADRB2 genotypes were established by real-time polymerase chain reaction assays using TaqMan-labeled probes. The relationships between the ADRB2 polymorphisms and COPD risk were estimated using logistic regression analyses. RESULTS The frequency of the genotypes and alleles of rs1042711 in ADRB2 showed a significant difference between the COPD and control groups (p < 0.05); compared with the CC genotype, the non-CC genotypes showed an increased COPD risk (p = 0.002). Compared with the CC haplotype, the TG haplotype increased COPD risk, while the CG haplotype reduced COPD risk for normal individuals. Compared with the CC genotype, the TT genotype showed significantly lower FEV1 and FEV1/FVC (p = 0.022, p = 0.0191, respectively). Both the TC and TG haplotypes showed lower FEV1 and FEV1/FVC in comparison with the CC haplotype (both p < 0.05). The results of logistic regression analysis showed that rs1042711 of ADRB2 and smoking history were associated with COPD risk (both p < 0.05). CONCLUSION It is indicated that the TT genotype of rs1042711 and smoking pack years are both risk factors for COPD.
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Affiliation(s)
- Hui Zhao
- 1 Department of Rheumatology, Linyi People's Hospital , Linyi, P.R. China
| | - Xuan Wu
- 2 Supply Room, Linyi People's Hospital , Linyi, P.R. China
| | - Chun-Ling Dong
- 3 Department of Nursing, Linyi People's Hospital , Linyi, P.R. China
| | - Bi-Ying Wang
- 4 Department of Geriatrics, Linyi People's Hospital , Linyi, P.R. China
| | - Jiao Zhao
- 4 Department of Geriatrics, Linyi People's Hospital , Linyi, P.R. China
| | - Xian-E Cao
- 4 Department of Geriatrics, Linyi People's Hospital , Linyi, P.R. China
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Heymann PW, Nguyen HT, Steinke JW, Turner RB, Woodfolk JA, Platts-Mills TAE, Martin L, He H, Biagini Myers J, Lindsey M, Sivaprasad U, Medvedovic M, Mahi N, Carper H, Murphy DD, Patrie J, Khurana Hershey GK. Rhinovirus infection results in stronger and more persistent genomic dysregulation: Evidence for altered innate immune response in asthmatics at baseline, early in infection, and during convalescence. PLoS One 2017; 12:e0178096. [PMID: 28552993 PMCID: PMC5446117 DOI: 10.1371/journal.pone.0178096] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Accepted: 05/07/2017] [Indexed: 12/30/2022] Open
Abstract
Background Rhinovirus (HRV) is associated with the large majority of virus-induced asthma exacerbations in children and young adults, but the mechanisms remain poorly defined. Methods Asthmatics and non-asthmatic controls were inoculated with HRV-A16, and nasal epithelial samples were obtained 7 days before, 36 hours after, and 7 days after viral inoculation. RNA was extracted and subjected to RNA-seq analysis. Results At baseline, 57 genes were differentially expressed between asthmatics and controls, and the asthmatics had decreased expression of viral replication inhibitors and increased expression of genes involved in inflammation. At 36 hours (before the emergence of peak symptoms), 1329 genes were significantly altered from baseline in the asthmatics compared to 62 genes in the controls. At this time point, asthmatics lacked an increase in IL-10 signaling observed in the controls. At 7 days following HRV inoculation, 222 genes were significantly dysregulated in the asthmatics, whereas only 4 genes were dysregulated among controls. At this time point, the controls but not asthmatics demonstrated upregulation of SPINK5. Conclusions As judged by the magnitude and persistence of dysregulated genes, asthmatics have a substantially different host response to HRV-A16 infection compared with non-asthmatic controls. Gene expression differences illuminate biologically plausible mechanisms that contribute to a better understanding of the pathogenesis of HRV-induced asthma exacerbations.
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Affiliation(s)
- Peter W. Heymann
- Division of Allergy, Immunology and Respiratory Medicine, Department of Pediatrics, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Internal Medicine, Asthma and Allergic Diseases Center, University of Virginia, Charlottesville, Virginia, United States of America
| | - Huyen-Tran Nguyen
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, United States of America
- Division of Allergy and Immunology, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - John W. Steinke
- Department of Internal Medicine, Asthma and Allergic Diseases Center, University of Virginia, Charlottesville, Virginia, United States of America
| | - Ronald B. Turner
- Division of Infectious Diseases, Department of Pediatrics, University of Virginia, Charlottesville, Virginia, United States of America
| | - Judith A. Woodfolk
- Department of Internal Medicine, Asthma and Allergic Diseases Center, University of Virginia, Charlottesville, Virginia, United States of America
| | - Thomas A. E. Platts-Mills
- Department of Internal Medicine, Asthma and Allergic Diseases Center, University of Virginia, Charlottesville, Virginia, United States of America
| | - Lisa Martin
- Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Hua He
- Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Jocelyn Biagini Myers
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Mark Lindsey
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Umasundari Sivaprasad
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Mario Medvedovic
- Department of Environmental Health, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Naim Mahi
- Department of Environmental Health, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Holliday Carper
- Division of Allergy, Immunology and Respiratory Medicine, Department of Pediatrics, University of Virginia, Charlottesville, Virginia, United States of America
| | - Deborah D. Murphy
- Division of Allergy, Immunology and Respiratory Medicine, Department of Pediatrics, University of Virginia, Charlottesville, Virginia, United States of America
| | - James Patrie
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America
| | - Gurjit K. Khurana Hershey
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, United States of America
- * E-mail:
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Wang D, Yang Y, Xu J, Zhou ZK, Yu HY. Association of CD14 -159 (-260C/T) polymorphism and asthma risk: an updated genetic meta-analysis study. Medicine (Baltimore) 2016; 95:e4959. [PMID: 27684840 PMCID: PMC5265933 DOI: 10.1097/md.0000000000004959] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND It has been reported that the cluster of differentiation 14 (CD14) gene -159C/T variant may be associated with asthma risk. However, some studies yielded conflicting results. Therefore, a comprehensive meta-analysis was designed to assess the precise association. METHODS A systematic search in PubMed, Embase (Ovid), China National Knowledge Internet (CNKI), and Wan fang databases was conducted up to August 15, 2015. Odds ratio (OR) and 95% confidence interval (CI) were used to pool the effect size. We used I to assess heterogeneity, and a funnel plot and Egger test to assess publication bias. RESULTS In total, 34 studies involving 15,641 subjects were included in this meta-analysis. There was a statistically significant association between CD14 -159C/T polymorphism and asthma risk observed in dominant model (TT+TC vs CC: OR = 0.86, 95% CI = 0.77-0.97, P = 0.012) and codominant model (TC vs CC: OR = 0.88, 95% CI = 0.78-0.99, P = 0.035) in adults. However, there may be no significant association between CD14 159C/T and atopic and nonatopic asthma risk. CONCLUSION In summary, the overall results suggested that the CD14 -159C/T variant may decrease the risk of asthma susceptibility in adults. However, no significant association between CD14 159C/T and atopic and nonatopic asthma susceptibility was identified. More studies with larger sample size are needed to validate the findings from this study.
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Affiliation(s)
- Duan Wang
- West China Hospital/West China School of Medicine
| | - Yang Yang
- State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu
| | - Jin Xu
- Tianjin Hospital, Tianjin
| | - Zong-Ke Zhou
- Department of Orthopedics, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China
- Correspondence: Zong-Ke Zhou, Department of Orthopedics, West China Hospital/West China School of Medicine, Sichuan University, Chengdu 610041, China (e-mail: ), Hai-Yang Yu, State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China (e-mail: )
| | - Hai-Yang Yu
- State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu
- Correspondence: Zong-Ke Zhou, Department of Orthopedics, West China Hospital/West China School of Medicine, Sichuan University, Chengdu 610041, China (e-mail: ), Hai-Yang Yu, State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China (e-mail: )
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