Analysis of Risk Factors for Hyperglycemia and GHR Gene Polymorphism in Growth Hormone secreting Pituitary Adenoma
Article No.: 38, Pages 1 - 6
Abstract
First, to analyze the risk factors of hyperglycemia in Growth hormone-secreting pituitary adenoma(GHPA) by comparing clinical data, biochemical indexes, and imaging data. Second, to study the correlation between growth hormone receptor (GHR) gene polymorphism and hyperglycemia. The results of this study will help to evaluate the GHPA condition and choose effective treatment measures, reduce the GHPA clinical mortality and improve the prognosis of GHPA. From January 2014 to July 2020, we collected 120 patients 18-75 years old who were diagnosed with GHPA in the First Affiliated Hospital of Kunming Medical University. According to blood glucose levels, they were divided into hyperglycemia as the study group and normal blood glucose as a control group. The course of the disease, BMI, FPG, GH, HOMA-IR, and PBG was with statistically significant differences in hyperglycemia patients(P < 0.05).However,gender,age,PRL,The size of the tumor volume,HOMA-β,0'INS,120'INS,0'C-P,120'C-P,IGF-1 and HbA1c were with statistically significant differences(P > 0.05)compared with control group.In the study, The risk factors associated with hyperglycemia in GHPA were the course of the disease, BMI, GH, and FPG.In the study group, FPG was positively correlated with the size of the tumor volume and GH.PBG was positively correlated with FPG and HOMA-IR and negatively correlated with HOMA-β.In the subgroup analysis of the study group, FPG was with statistically significant differences (P=0.049). The results showed that FPG between the microadenoma group and the giant adenoma group was with statistically significant differences (P=0.019). However, PBG wasn't with statistically significant differences (P=0.133).In the present study, when we performed correlation analysis of risk factors and GHR genotype polymorphisms, we found that d3/d3GHR was significantly associated with BMI compared to f1/d3GHR (P=0.049), and d3/d3GHR explained 29.44% of the variation in BMI values;d3/d3GHR had a lower BMI value of 4.83kg/ m2.d3/d3GHR was not significantly correlated with GH (P=0.965), FPG (P=0.625), and the course of disease (P=0.755) compared to f1/d3GHR.
References
[1]
Mestron A,Webb SM,Astorga R,Benito P,Catala M,Gaztambide S,Gomez JM,Halperin I,Lucas-Morante T,Moreno B,Obiols G,de Pablos P,Paramo C,Pico A,Torres E,Varela C,Vazquez JA,Zamora J,Albareda M and Gilabert M,(2004).Epidemiology,clinical characteristics,outcome,morbidity and mortality in acromegaly based on the Spanish Acromegaly Registry (Registro Espanol de Acromegalia,REA).Eur J Endocrinol.151,4,439-446.
[2]
Moller N,Jorgensen JO,(2009).Effects of growth hormone on glucose,lipid,and protein metabolism in human subjects.Endocr Rev.30,2,152-177.
[3]
He W, Yan L, Wang M, Li Q, He M, Ma Z, Ye Z, Zhang Q, Zhang Y, Qiao N, Lu Y, Ye H, Lu B, Shou X, Zhao Y, Li Y, Li S, Zhang Z, Shen M and Wang Y,(2019).Surgical outcomes and predictors of glucose metabolism alterations for growth hormone-secreting pituitary adenomas: a hospital-based study of 151 cases.Endocrine.63,1,27-35.
[4]
Yoshida N,Goto H,Suzuki H,Nagasawa K,Takeshita A,Okubo M,Miyakawa M,Mori Y,Fukuhara N,Nishioka H,Yamada S,Takeuchi Y,(2013).Ketoacidosis is the initial clinical condition in nine patients with acromegaly: a review of 860 cases at a single institute. Eur J Endocrinol.169,1,127-132.
[5]
Filopanti M,Giavoli C,Grottoli S,Bianchi A,De Marinis L,Ghigo E,Spada A,(2011).The exon 3-deleted growth hormone receptor: molecular and functional characterization and impact on GH/IGF-I axis in physiological and pathological conditions.J Endocrinol Invest.34,11,861-868.
[6]
Guevara-Aguirre J,Guevara A,Palacios I,Perez M,Procel P and Teran E,(2018).GH and GHR signaling in human disease.Growth Horm IGF Res.38,34-38.
[7]
Dutta P,Hajela A,Gupta P,Rai A,Sachdeva N,Mukherjee KK,Pathak A and Dhandapani S,(2019).The predictors of recovery from diabetes mellitus following neurosurgical treatment of acromegaly: A prospective study over a decade.Neurol India.27,3,757-762.
[8]
Alexopoulou O, Bex M, Kamenicky P, Mvoula AB, Chanson P and Maiter D,(2014).Prevalence and risk factors of impaired glucose tolerance and diabetes mellitus at diagnosis of acromegaly: a study in 148 patients.Pituitary.17,1,81-89.
[9]
Gortan Cappellari G,Zanetti M,Semolic A,Vinci P,Ruozi G,Falcione A,Filigheddu N,Guarnieri G,Graziani A,Giacca M and Barazzoni R,(2016).Unacylated Ghrelin Reduces Skeletal Muscle Reactive Oxygen Species Generation and Inflammation and Prevents High-Fat Diet-Induced Hyperglycemia and Whole-Body Insulin Resistance in Rodents.Diabetes.65,4,874-886.
[10]
Stratton IM,Adler AI,Neil HA,Matthews DR,Manley SE,Cull CA,Hadden D,Turner RC and Holman RR,(2000).Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study.BMJ.321,7258,405-412.
[11]
Sorkin JD,Muller DC,Fleg JL and Andres R,(2005).The relation of fasting and 2-h post-challenge plasma glucose concentrations to mortality: data from the Baltimore Longitudinal Study of Aging with a critical review of the literature.Diabetes Care.28,11,2626-2632.
[12]
Monnier l, Lapinski H and Colette C,(2003).Contributions of fasting and postprandial plasma glucose increments to the overall diurnal hyperglycemia of type 2 diabetic patients: variations with increasing levels of HbA1c.Diabetes Care.26,3,881-885.
[13]
Gonzalez B,Vargas G,de Los Monteros ALE,Mendoza V and Mercado M,(2018).Persistence of Diabetes and Hypertension After Multimodal Treatment of Acromegaly.J Clin Endocrinol Metab.103,6,2369-2375.
[14]
Gonzalez B,Vargas G,de Los Monteros ALE,Mendoza V,Mercado M,(2018).Persistence of Diabetes and Hypertension After Multimodal Treatment of Acromegaly.J Clin Endocrinol Metab.103,6,2369-2375.
[15]
Dos Santos C,Essioux L,Teinturier C,Tauber M,Goffin V and Bougneres P,(2004).A common polymorphism of the growth hormone receptor is associated with increased responsiveness to growth hormone.Nat Genet.36,7,720-724.
[16]
Park HY,Hwang IR,Seo JB,Kim SW,Seo HA,Lee IK and Kim JG,(2015).Association between the Growth Hormone Receptor Exon 3 Polymorphism and Metabolic Factors in Korean Patients with Acromegaly.Endocrinol Metab (Seoul).30,3,312-317.
[17]
Montefusco L,Filopanti M,Ronchi CL,Olgiati L,La-Porta C,Losa M,Epaminonda P,Coletti F,Beck-Peccoz P,Spada A,Lania AG and Arosio M,(2010).d3-Growth hormone receptor polymorphism in acromegaly: effects on metabolic phenotype.Clin Endocrinol (Oxf).72,5,661-667.
[18]
Mercado M,González B,Sandoval C,Esquenazi Y,Mier F,Vargas G,de los Monteros AL and Sosa E,(2008).Clinical and biochemical impact of the d3 growth hormone receptor genotype in acromegaly.J Clin Endocrinol Metab.93,9,3411-3415.
- Analysis of Risk Factors for Hyperglycemia and GHR Gene Polymorphism in Growth Hormone secreting Pituitary Adenoma
Recommendations
Assessment of the risk factors of coronary heart events based on data mining with decision trees
Special section on new and emerging technologies in bioinformatics and bioengineeringCoronary heart disease (CHD) is one of the major causes of disability in adults as well as one of the main causes of death in the developed countries. Although significant progress has been made in the diagnosis and treatment of CHD, further ...
Canonical Correlation Analysis of Risk Factors and Clinical Outcomes in Cardiac Surgery
AbstractAssessment of the association between risk factors and outcomes in cardiac surgery is a complex problem. The aim of this study was to explore the relationship between possible risk factors and several clinical outcomes in cardiac surgery by using ...
Incidence of Risk Factors on the Onset of Gestational Diabetes Mellitus: An Empirical Research in Southern Italy
In this study the authors evaluated the prevalence of Gestational Diabetes Mellitus GDM and the incidence in determining the occurrence thereof, given by the following risk factors: age, family history for Diabetes Mellitus DM, Body Mass Index BMI, ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
July 2021
231 pages
ISBN:9781450389297
DOI:10.1145/3469678
Copyright © 2021 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 28 July 2021
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- NSFC
Conference
BIBE2021
BIBE2021: The Fifth International Conference on Biological Information and Biomedical Engineering
July 20 - 22, 2021
Hangzhou, China
Acceptance Rates
Overall Acceptance Rate 36 of 116 submissions, 31%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 16Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Reflects downloads up to 12 Nov 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format