Contents
Download PDF
pdf Download XML
82 Views
30 Downloads
Share this article
Research Article | Volume 30 Issue 8 (August, 2025) | Pages 374 - 378
The Association between liver enzymes and Hba1c in Type 2 Diabetes a cross sectional comparative study
 ,
 ,
 ,
1
MBBS, MD Assistant Professor Department of General Medicine, GR Medical College, Hospital and Research Center, Neermarga, Mangalore
2
Assistant Professor Department of General Medicine, Oxford Medical College, Hospital and Research Center, Bangalore
3
Assistant Professor Department of General Medicine, Hassan Institute of Medical Sciences, Hassan
4
Senior Resident Department of Medicine, Dr BR Ambedkar Medical College, Bangalore
Under a Creative Commons license
Open Access
Received
July 29, 2025
Revised
Aug. 9, 2025
Accepted
Aug. 21, 2025
Published
Aug. 30, 2025
Abstract

Type 2 diabetes is a chronic metabolic disorder characterized by high blood glucose levels due to insulin resistance and/or impaired insulin secretion. The change in our lifestyle and increasing incidence of obesity has caused an increase in the prevalence ofT2DM in the past few decades. The liver plays a major role in maintaining glucose homeostasis. Therefore, the present study is undertaken to discover the prevalence of LFT abnormality in patients with diabetics in comparison to non-diabetics and find the predominance of LFT abnormalities among diabetics. Method: This is a hospital based cross sectional comparative study of a study population of 100 (50- cases, 50- controls). After taking an informed consent blood for LFT and HbA1c was collected and processed. Results: Age and sex of the study population were matched, thereby reducing confounding bias. ALT and ALP were found to be significantly higher among the diabetics. ALT and ALP showed a positive correlation with HbA1c whereas AST and AST/ALT ratio showed a negative correlation. Conclusion: The present study shows the prevalence of LFT abnormalities of patients with T2DM and the importance of monitoring the same, as early detection and management of liver parameter would help in reducing liver related morbidity in diabetic population. Negative correlation of AST/ALT ratio with HbA1c showing that this ratio can be used as a cost effective method to assess insulin resistance.

Keywords
INTRODUCTION

Type 2 diabetes is a chronic metabolic disorder characterized by high blood glucose levels due to insulin resistance and/or impaired insulin secretion.[1]The change in our lifestyle and increasing incidence of obesity has caused an increase  in the prevalence of T2DM in the past few decades[2].More younger patients are developing T2DM than before, which is causing an enormous burden on the healthcare[3].It is predicted that the total number of diabetics will increase to a total of 600 million globally by the year 2035[4].

The main pathogenesis in T2DM is insulin resistance. The liver plays a major role in maintaining glucose homeostasis [5]. Any damage to the liver in the form of oxidative stress or abnormal fat deposition can alter the glucose homeostasis causing chronic hyperglycaemia [6]. The roles of liver enzymes are diverse and have often been identified as biomarkers of liver injury [7].  

Studies have shown abnormalities in liver enzymes seen in diabetics [8], though the exact mechanism of these abnormalities remains unclear. The AST/ALT ratio was first introduced in the year 1957, [9] since then, it has been used to interpret diseases such as metabolic syndrome [10], NAFLD [11] and insulin resistance [12].

Therefore, the present study is undertaken to discover the prevalence of LFT abnormality in patients with diabetics in comparison to non-diabetics and find the predominance of LFT abnormalities among diabetics. We shall also determine the correlation of various liver biochemical abnormality with HbA1c, so that, it could offer new insight to clinicians in improving the disease outcome.

MATERIALS AND METHODS

SOURCE OF DATA

Primary data- In Patients and out patients attending Medicine Department at G R Medical college, hospital and research centre.

Secondary data-Published articles, journals, books, case sheets and related websites will be used for planning of the study.

 METHOD OF COLLECTION OF DATA

Study Design- A Hospital based cross-sectional comparative study.

Study Period- Period of 1 year between March 2024 to February 2025.

 Sample size: 100 (50 – cases, 50 – controls)

  • INCLUSION CRITERIA- Subjects above 18 years of age
  • EXCLUSION CRITERIA- Alcohol use disorder, known liver disease or other comorbidities.

 HUMAN ETHICS

The study was approved by Institutional Ethical committee (IEC) G R Medical college, hospital and research centre.

 PERSONAL INFORMATION, SPECIMEN COLLECTION AND LABORATORY. 

Information on demographic including age, sex was collected after obtaining informed consent. 

Blood samples were collected by trained nurses. Venous blood samples were stored in a refrigerator at 4 °C prior to analysis in the hospital laboratory. LFT (Direct bilirubin, indirect bilirubin, AST, ALT, Alp, albumin), HbA1c were measured using blood sample collected from each participant in a hospital laboratory.

 STASTICAL ANALYSIS  

Data obtained from the study will be entered in Microsoft Excel sheets and analysed using IBM SPSS software version 20.0 (Trial version) and presented as descriptive statistics in the form of frequency, tables, figures and graphs. Results were expressed as mean ± SD. ANOVA test used for testing the significance between the groups. Correlation of parameters is done by Pearson’s correlation formula. A p value of <0.05 is considered statistically significant.

RESULTS

In our comparative study, Out of the100 study subjects, 50 subjects (cases) were diabetic patients who were diagnosed as per ADA criteria [13] and 50 subjects (controls) were healthy individuals.

TABLE 1 – SEX DISTRIBUTION CHART

 

 

 

SUB GROUPS

Total

Case

Control

sex

F

SUBJECTS

29

29

58

% within group

58.0%

58.0%

58.0%

M

SUBJECTS

21

21

42

% within group

42.0%

42.0%

42.0%

Total

 

Count

50

50

100

% within group

100.0%

100.0%

100.0%

Sex distribution between the cases and controls were similar with 21 males and 29 females in both the subgroups as depicted in Table 1.

 TABLE 2 – AGE DISTRIBUTION AMONG SUBGROUPS

 

 

 

SUB-GROUPS

Total

Case

Control

AGE 

20-40

SUBJECTS

4

16

20

% within group

8.0%

32.0%

20.0%

41-60

SUBJECTS

22

23

45

% within group

44.0%

46.0%

45.0%

60+

SUBJECTS

24

11

35

% within group

48.0%

22.0%

35.0%

Total

 

SUBJECTS

50

50

100

The mean age of subjects in the cases subgroup was 59.2 +/- 12.9 years, whereas it was 50.28 +/- 14.6 years in the controls subgroup, with the maximum number of individuals belonging to the age group 41-60 years in both the groups as depicted in Table 2.

 TABLE 3- BASELINE CHARECTERISTICS OF SUBGROUPS

 

Group

N

 

Mean

Sig (2-tailed)

HbA1c

Case

 

50

9.3890

.000

Control

 

50

5.4344

AST

Case

 

50

28.8660

.388

Control

 

50

24.8480

ALT

Case

 

50

23.6940

.011

Control

 

50

16.3904

ALBUMIN

Case

 

50

3.4982

.675

Control

 

50

3.4380

ALP

Case

 

50

133.9240

.005

Control

 

50

96.1480

Ratio

Case

 

50

1.3750

.112

Control

 

50

1.5918

The distribution of age and sex in both the group were comparable which reduces the potential for confounding bias and increases the internal validity of the study.

 

The mean HbA1c of the case subgroup was 9.38% which was significantly higher (<0.000) as compared to control subgroup.

 

The activity of AST were comparable in both the group whereas, the activity of ALT and ALP were significantly higher in the cases sub group (<0.05) as shown in table 3.

 

TABLE 4- CORRELATION OF HbA1c AND LIVER PARAMETERS.

 

 

AST

ALT

ALBUM

IN

ALP

AST/AL

T

HbA1c

Pearson

Correlation

-.006

.122

-.012

.295**

-.122

Sig. (2-tailed)

.953

.228

.907

.003

.226

N

100

100

100

100

100

Table 4 represents the correlation between liver enzymes and HbA1c among all subjects. ALT, ALP showed a positive correlation to HbA1c, ALP correlation statistically significant whereas, AST and AST/ALT ratio showed a negative correlation. 

DISCUSSION

The present study was undertaken to understand the complex nature of how diabetes affects the liver and throw some light on the hepatic dysfunctions seen in diabetics.

In a study done in Shanghai, china. A comparative study conducted on 2046 study subject by Jie-Ying wan and Li-zhen Yang [14], showed ALT to have a strong positive correlation with HbA1c, which was similar to our study. In another study done by Sana Alam et al [15] done in New Delhi, a comparative study on 612 subjects, showed a significantly higher ALT and ALP among the diabetic population which was similar to our study though it showed a negative correlation of all liver enzymes with HbA1c.

In another retrospective cohort study done by Liden Chen et al [16], on a population of 15,291 participant, the results showed a negative correlation of AST/ALT ratio to HbA1c with a nonlinear relation between the two. The study went on to show that AST/ALT ratio was a cost effective way to assess insulin resistance, risk of development of NAFLD. A similar result was obtained in our study as well.

A study done by P.Deepa and Sasivathanam on AST/ALT ratio in metabolic syndrome [17] a case control study, showed a significantly lower AST/ALT ratio among subjects with metabolic syndrome and in our study AST/ALT ratio showed a negative correlation with HbA1c. We can infer that risk of development of metabolic syndrome is higher among patient with higher insulin resistance and poor glycaemic control.

LIMITATION OF THE STUDY.

This study is associated with a few limitations such as sample size, the study design being a cross sectional due to which it was hard to determine whether the hepatic abnormality preceded diabetes or vice versa. The present study did not use HOMA-IR or hyperglycaemiceuglycaemic glucose clamp technique to determine the insulin resistance in order to correlate with insulin resistance. The study could have further used imaging modality to correlate with liver pathology such as NAFLD. 

CONCLUSION

The present study shows a significantly higher ALT and ALP levels in T2DM patients and negative correlation of AST/ALT ratio with HbA1c showing that this ratio can be used as a cost effective method to assess insulin resistance.

The present study shows the prevalence of LFT abnormalities of patients with T2DM and the importance of monitoring the same, as early detection and management of liver parameter would help in reducing liver related morbidity in diabetic population.

The take home message is to advice LFT in all diabetic patients because of the high prevalence of LFT abnormalities in these patient.

 DECLARATIONS

Funding: Self

Conflict of interest: None

Ethical approval: Approved.

REFERENCES
  1. Jaganjac M, Tirosh O, Cohen G, Sasson S, Zarkovic N. Reactive aldehydes–second messengers of free radicals in diabetes mellitus. Free Radical Research. 2013 Aug 1;47(sup1):39-48.
  2. Zhou B, Lu Y, Hajifathalian K, Bentham J, Di Cesare M, Danaei G. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants. NCD Risk Factor Collaboration (NCD-RisC). Lancet. 2016;387:1513–1530. doi: 10.1016/S0140-6736(16)00618-8
  3. Bommer C, Heesemann E, Sagalova V, et al. The global economic burden of diabetes in adults aged 20–79 years: a cost-of-illness study. Lancet Diabetes Endocrinol. 2017;5(6):423– 430. doi: 10.1016/s2213-8587(17)30097-9
  4. Zimmet PZ, Magliano DJ, Herman WH, et al. Diabetes: a 21st century challenge. Lancet Diabetes Endocrinol. 2014;2(1):56–64. doi:10.1016/ s2213-8587(13)70112-8
  5. Han HS, Kang G, Kim JS, et al. Regulation of glucose metabolism from a liver-centric perspective. Exp Mol Med. 2016;48:e218. doi:10.1038/ emm.2015.122
  6. Farrell GC, Larter CZ. Non-alcoholic Fatty Liver Disease: from steatosis to cirrhosis. Hepatology 2006;43:S00-S112.
  7. Sookoian S, Pirola CJ. Liver enzymes, metabolomics and genome-wide association studies: from systems biology to the personalized medicine. World J Gastroenterol. 2015;21(3):711–725. doi: 10.3748/wjg.v21.i3.711
  8. Hickman IJ, Macdonald GA. Impact of diabetes on the severity of liver disease. The American journal of medicine. 2007 Oct 1;120(10):829-34.
  9. De Ritis F, Coltorti M, Giusti G. An enzymic test for the diagnosis of viral hepatitis; the transaminase serum activities. Clin Chim Acta. 1957;2(1):70–74. doi: 10.1016/00098981(57)90027
  10. Lee K, Yang JH. Which liver enzymes are better indicators of metabolic syndrome in adolescents: the Fifth Korea National Health and Nutrition Examination Survey, 2010. Metab Syndr Relat Disord. 2013;11(4):229–235. doi: 10.1089/met.2012.0153
  11. Sorbi D, Boynton J, Lindor KD. The ratio of aspartate aminotransferase to alanine aminotransferase: potential value in differentiating nonalcoholic steatohepatitis from alcoholic liver disease. Am J Gastroenterol. 1999;94(4):1018–1022. doi: 10.1111/j.15720241.1999.01006.
  12. Cortez-Pinto H, Camilo ME, Baptista A, De Oliveira AG, De Moura MC. Non-alcoholic fatty liver: another feature of the metabolic syndrome? Clin Nutr. 1999;18(6):353–358. doi:10.1016/s0261-5614(99)80015-6
  1. American Diabetes Association Professional Practice Committee, American Diabetes
  2. Association Professional Practice Committee:. 2. Classification and diagnosis of diabetes:
  3. Standards of Medical Care in Diabetes—2022. Diabetes Care. 2022 Jan;45(Supplement_1):S17-38.
  4. Wan JY, Yang LZ. Liver Enzymes are Associated with Hyperglycemia in Diabetes: A Three-Year Retrospective Study. Diabetes Metab Syndr Obes. 2022;15:545-555 https://doi.org/10.2147/DMSO.S350426
  5. Alam S, Raghav A, Reyaz A, Ahsan A, Ahirwar AK, Jain V, Agarwal S, Tripathi P. Prevalence of elevated liver enzymes and its relationship with type 2 diabetes mellitus in North Indian adults. Metabol Open. 2021 Sep 24;12:100130. doi:
  6. 1016/j.metop.2021.100130. PMID: 34622192; PMCID: PMC8479470.
  7. Chen L, Zhang K, Li X, Wu Y, Liu Q, Xu L, Li L, Hu H. Association Between Aspartate Aminotransferase to Alanine Aminotransferase Ratio and Incidence of Type 2 Diabetes
  8. Mellitus in the Japanese Population: A Secondary Analysis of a Retrospective Cohort Study.
  9. Diabetes Metab Syndr Obes. 2021 Nov 9;14:4483-4495. doi: 10.2147/DMSO.S337416. PMID: 34785918; PMCID: PMC8590482.
  10. Deepa P, Sasivathanam N. A Study of AST/ALT Ratio in Metabolic Syndrome. Int J Contemp Med Res. 2015;4(1):28-30.
Recommended Articles
Research Article
Utility of NT-proBNP in predicting short-term outcomes in acute exacerbation of COPD without overt cardiac involvement
...
Published: 15/09/2025
Download PDF
Read Article
Research Article
Clinical Profile and Outcome of Rickettssial Fever at a Tertiary Care Centre
...
Published: 27/03/2025
Download PDF
Read Article
Research Article
Knowledge and Awareness of Anemia and Its Health Consequences Among Adults: A Cross-Sectional Study
Published: 22/04/2013
Download PDF
Read Article
Research Article
Study of Serum Calcium levels among Alcohol related Seizures and Primary Idiopathic Seizures
...
Published: 28/11/2025
Download PDF
Read Article
© Copyright Journal of Heart Valve Disease