Volume 8, Issue 4 (Journal of Clinical and Basic Research (JCBR) 2024)                   jcbr 2024, 8(4): 19-21 | Back to browse issues page


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Rahul Navale D, Shashil Patil V. Evaluation of the serum fasting insulin and HOMA-IR in diabetic and FDR patients. jcbr 2024; 8 (4) :19-21
URL: http://jcbr.goums.ac.ir/article-1-382-en.html
1- Department of Biochemistry, D.Y. Patil Medical college and Hospital Kolhapur, Maharashtra, 416005, India , dipalimangave1878@gmail.com
2- Department of Biochemistry, D.Y. Patil Medical college and Hospital Kolhapur, Maharashtra, 416005, India
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 Introduction
Diabetes Mellitus is a chronic and progressive endocrine disorder characterized by hyperglycemia, polyuria, polyphagia, and polydipsia, affecting millions worldwide (1). As a leading cause of morbidity and mortality, it contributes to the development of microvascular and macrovascular complications (2). According to the International Diabetes Federation, approximately 40.9 million individuals have diabetes, with a projected increase to 69.9 million by 2025 (3). Familial aggregation is a significant risk factor for early-onset type 2 diabetes mellitus (4). First-degree relatives (FDR) not only share genetic predispositions but also socio-environmental risk factors like obesity and hyperglycemia, forming a high-risk group (5).
Notably, 35-40% of FDR of type 2 diabetic individuals are asymptomatic and unaware of their condition. Among newly diagnosed cases, one-third are younger patients and individuals over 45 with a positive family history (6).
Type 2 diabetes mellitus results from a combination of genetic factors, including impaired insulin secretion and insulin resistance (IR), and environmental factors like obesity, overeating, lack of exercise, stress, and aging. The primary pathophysiological features are impaired insulin secretion and increased IR (7). IR, defined as the decreased ability of insulin to stimulate glucose uptake in target cells, often precedes type 2 diabetes development (8). This occurs due to inadequate insulin production by pancreatic beta cells or ineffective insulin utilization (7). While IR and impaired beta-cell function are well-established features of type 2 diabetes, the primary abnormality remains unclear (8).
The hyperinsulinemic-euglycemic glucose clamp technique is the gold standard for measuring IR and pancreatic beta-cell dysfunction (9). However, its impracticality in clinical practice and population-based research has led to alternative indices like QUICKI, HOMA, and McAuley (10-13). HOMA has demonstrated a significant correlation with IR as measured by the clamp method and is utilized in this study to evaluate IR. The clustering of glucose dysregulation and obesity among FDR of diabetic patients makes these individuals ideal candidates for lifestyle modifications and pharmacological interventions aimed at preventing type 2 diabetes and its complications (14). Therefore, this study aimed to evaluate the correlation between serum insulin and IR in diabetic, non-diabetic, and FDR, potentially identifying diagnostic and prognostic markers to assess disease control and delay or prevent complications.

Methods
This study was conducted after obtaining clearance from the Institutional Ethical Review Committee at D. Y. Patil Medical College. Informed consent was obtained from all participants. The study included 60 subjects who attended D. Y. Patil Medical College and Hospital, Kolhapur, between 2016 and 2017. The subjects were divided into three groups:
  1. Group I (Controls): 20 non-diabetic individuals without a family history of diabetes
  2. Group II: 20 non-diabetic FDR of diabetic patients
  3. Group III: 20 diabetic patients with a disease duration of 5-10 years
The present study assessed the biochemical parameters of these three groups, including fasting blood sugar, post-prandial blood sugar, and fasting insulin levels.
Study design:
In the present study, 20 diabetic patients and 20 FDR were compared with 20 age-matched control subjects. The age range of the subjects was 20-65 years.
Inclusion criteria: -
    1. Patients with known type 2 diabetes mellitus (And a disease duration of 5 years were included.
    2. Non-diabetic FDR of diabetic patients were also included in the study.
    3. In this study, we only included patients taking metformin, a standard drug approved for type 2 diabetes mellitus in India, to ensure uniformity in IR measurements and avoid the influence of other medications (14).
    4. Participants who provided informed, written consent and were willing to participate were included in the study.
Exclusion criteria:
  1. Insulin-dependent diabetic patients (IDDM).
  2. Patients with chronic illness, pregnancy, and diabetic complications were excluded.

Sample collection:
The whole blood was collected after fasting to estimate fasting blood sugar and insulin. Similarly, for the estimation of post-prandial blood sugar, 0.5 ml of blood was collected from the patients 2 hours after eating.
Clinical methods for the following biochemical parameters:
  1. Estimation of blood sugar by GOD-POD method
  2. Estimation of insulin by CLIA method.
  3. IR can be calculated by the homeostasis model assessment (HOMA-IR): HOMA-IR = Fasting serum insulin / 22.5
In the present study, we calculated beta-cell dysfunction using Usgaonkar et al. According to this method, the homeostasis model assessment (HOMA-B) can calculate beta-cell dysfunction (2).
HOMA-B=360×FPI/(FPG-63).

Results
Various parameters in studied groups.
The results showed that the level of serum insulin increased in the FDR group (8.5 ± 5.6) compared to the diabetic and control groups (p < 0.001) (Table1).

Table 1. Various parameters in diabetic, non-diabetic (FDR), and control subjects
Fasting insulin
The results showed that the level of fasting insulin significantly increased in the diabetic and FDR groups compared to the control groups (Table 2).
Table 2. The fasting insulin level in different groups
HOMA-IR Level
HOMA-IR was significantly increased in individuals with diabetes (2.10 ± 1.10) and the FDR group (1.81 ± 1.25) compared to control (p < 0.0001) (Table3).
Table 3. The HOMA-IR level in healthy control and fdr diabetic patients
Correlation between fasting serum insulin and HOMA-IR
We also noted a strong positive correlation between fasting serum insulin and HOMA-IR in the FDR group (r = +0.98; Figure 1) and in diabetic patients (r = +0.79; Figure 2).

Figure 1. Positive correlation between HOMA-IR and fasting serum insulin in FDR patients


Figure 2. Positive correlation between HOMA-IR and fasting serum insulin in diabetic patients

Discussion
Extensive research on the pathophysiology of type 2 diabetes mellitus has identified two key endocrine dysfunctions: IR and deficiency. Despite agreement on their presence in most patients with established type 2 diabetes, debate surrounds the primary cause. To address this, healthy individuals at increased risk of developing diabetes, such as FDR of type 2 diabetic patients, have been studied to assess early metabolic abnormalities preceding type 2 diabetes development. Few studies have investigated IR among Indian populations with a family history of diabetes, and even fewer have examined beta-cell secretory defects. Therefore, we aimed to study these parameters in FDR and known diabetic patients.
In this study, 20 non-diabetic FDR, 20 diabetic patients, and 20 non-diabetic healthy subjects were included. Table 1 shows the BMI, FBS, and PPBS levels in the different groups. BMI levels were significantly higher in the FDR and diabetic groups compared to controls, and higher in diabetic patients compared to FDR. BMI has a strong relationship with diabetes mellitus, and obesity is more prevalent in diabetic patients due to NEFA secretion from adipose tissue. FBS and PPBS levels were significantly higher in diabetic patients compared to controls, consistent with findings by Tripathi et al. (16).
Table 2 indicates that serum fasting insulin levels were significantly higher in diabetic patients compared to controls and higher in FDR than in diabetic patients. This suggests that individuals with a familial predisposition to diabetes are hyperinsulinemic despite normal blood sugar levels. Fasting hyperinsulinemia may be an early defect in glucose metabolism, preceding IR. It also reflects decreased insulin sensitivity and increased resistance, constituting the strongest independent predictor of type 2 diabetes mellitus (17).
Our findings showed (Table 3) that HOMA-IR levels were significantly higher in the diabetic and FDR groups than in controls. A strong positive correlation was observed between fasting serum insulin and HOMA-IR in FDR (r = +0.98) and diabetic patients (r = +0.79). These results suggest that IR precedes beta-cell dysfunction in high-risk individuals. HOMA-B analysis revealed altered pancreatic beta-cell function in diabetic patients compared to controls and FDR subjects, indicating progressive beta-cell dysfunction with increasing diabetes duration (18,19).

Conclusion
This study concludes that IR is highly prevalent in FDR of type 2 diabetes mellitus patients and increases with disease progression. The positive correlation between HOMA-IR and serum fasting insulin suggests that serum fasting insulin is a reliable marker for diagnosing IR in populations susceptible to developing diabetes, including FDR.

Acknowledgement
We are deeply grateful to all those who played a role in the success of this project. We would like to thank the D.Y. Patil Education Society for their support throughout the research project.
Funding sources
None.

Ethical statement
This study was approved by the university, D.Y. Patil Medical College, and the hospital's Institutional Ethics Committee.
Signed informed consent was obtained from all patients.

Conflicts of interest
None.

Author contributions
We performed the conception and design of the study, analyzed and interpreted the patient data, and contributed to writing the manuscript.
 
Article Type: Research | Subject: Biochemistry

References
1. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimation for the year 2000 and projection for 2030. Diabetes Care. 2004;27(5):1047-53. [View at Publisher] [DOI] [PMID] [Google Scholar]
2. Usgaonkar AP, Dhume CY, Amonkar SD. Comparative assessment of insulin sensitivity and pancreatic beta cell function in diabetic and non-diabetics. Int J Pharm Bio Sci. 2012;3(1):B-405-13. [View at Publisher] [Google Scholar]
3. Sicree R, Shaw J, Zimmet P. Diabetes and impaired glucose tolerance in Gan D, editor. Diabetes Atlas, International Diabetes Federation. 3rd ed. Belgium:International Diabetes Federation;2006. p.15-103 [View at Publisher] [Google Scholar]
4. Vishwanathan M, McCarthy MI, Snehalatha C, Hitman GA, Ramachandran A. Familial Aggregation of type 2 (non-insulin-dependent) diabetes mellitus in South India; Absence of excess maternal transmission. Diabet Med. 1996;13(3):232-7. [View at Publisher] [DOI] [PubMed] [Google Scholar]
5. Rana G, Khurshid R. Early metabolic defects, including oral glucose tolerance, serum insulin, and blood glycated hemoglobin, in different age groups of first-degree relatives have increased the risk for diabetes mellitus. IRJBCS. 2013;1(2):16-21. [View at Publisher]
6. Vishwanathan M, McCarthy MI, Snehalatha C, Hitman GA, Ramachandran A. Familial Aggregation of type 2 (non-insulin-dependent) diabetes mellitus in South India; Absence of excess maternal transmission. Diabet Med. 1996;13(3):232-7. [View at Publisher] [DOI] [PMID] [Google Scholar]
7. Kohei K. Pathophysiology of type 2 diabetes and its treatment policy. Journal of the Japan Medical Association. 2010;53(1):41-6. [View at Publisher] [Google Scholar]
8. Srihardyastutie A, Soeatmadji DW, Fatchiyah, Aulanni. The relationship between HbA1c, insulin resistance and changes of insulin secretion in Indonesian type 2 diabetic subject. Advances in Natural and Applied Sciences. 2014;8(8):25-30. [View at Publisher] [Google Scholar]
9. Verma M, Paneri S, badi P, Raman PG. Effect of increasing duration of diabetes mellitus type 2 on glycated hemoglobin and insulin sensitivity. Indian J Clin Biochem. 2006;21(1):142-6. [View at Publisher] [DOI] [PMID] [Google Scholar]
10. Sathiyapriya V, Bobby Z, Agrawal A, Selvaraj N. Protein glycation, insulin sensitivity and pancreatic beta cell dysfunction in higher risk for non-diabetic, first degree relatives of patients with type 2 diabetes. Indian J Physiol Pharmacol. 2009;53(2):163-8. [View at Publisher] [PMID] [Google Scholar]
11. Kumar A, Tiwari P, Sahoo S, Shrivastava AK. Prevalence of insulin resistance in first degree relatives of T2DM patients: a prospective study in north Indian population. Indian J Clin Biochem. 2005;20(2):10-7. [View at Publisher] [DOI] [PMID] [Google Scholar]
12. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostatic model assessment: Insulin resistance and beta cell function from man's plasma glucose and insulin concentrations. Diabetologia. 1985;28:412-9. [View at Publisher] [DOI] [PMID] [Google Scholar]
13. Mastsude M, Defronzo RA. In vivo measurement of insulin sensitivity in humans. Clinical Research in Diabetes Obesity.1997;1:23-65. [View at Publisher] [Google Scholar]
14. Emoto M, Nishizawa Y, Maekawa K, Hiura Y, Kanda H, Kawagishi T, et al. Homeostasis model assessment as a clinical index of insulin resistance in type 2 diabetic patients treated with sulfonylureas. Diabetes Care. 1999;22(5):818-22. [View at Publisher] [DOI] [PMID] [Google Scholar]
15. Kawasaki A, Sumida Y, Gabazza EC, Murashima S, Furuta M, Araki-Sasaki R, et al. Homeostasis Model Assessment is a reliable indicator of insulin resistance during follow-up of patients with type 2 diabetes. Diabetes Care. 2001;24(2):362-5. [View at Publisher] [DOI] [PMID] [Google Scholar]
16. Tripathi P, Kadam N, Tiwari D, Vyawahare A, Sharma B, Kathrikolly T, et al. Oral glucose tolerance test clearance in type 2 diabetes patients who underwent remission following intense lifestyle modification: A quasi-experimental study. Plos One. 2024;19(5):e0302777. [View at Publisher] [DOI] [PMID] [Google Scholar]
17. Vaidya RA, Desai S, Moitra P, Salis S, Agashe S, Battalwar R, et al. Hyperinsulinemia: an early biomarker of metabolic dysfunction. Front Clin Diabetes Healthc. 2023 May 2:4:1159664. [View at Publisher] [DOI] [PMID] [Google Scholar]
18. Chow EY, Chan JC. Insulin resistance versus β-cell dysfunction in type 2 diabetes: where public and personalised health meet. Lancet Diabetes Endocrinol. 2020;8(2):92-3. [View at Publisher] [DOI] [PMID] [Google Scholar]
19. Saisho Y. β-cell dysfunction: Its critical role in prevention and management of type 2 diabetes. World J Diabetes. 2015;6(1):109-24. [View at Publisher] [DOI] [PMID] [Google Scholar]

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