Triglyceride-Glucose Index is a Reliable Predictor of Metabolic Disorder in Gallstones
PDF
Cite
Share
Request
Original Article
P: 363-367
July 2024

Triglyceride-Glucose Index is a Reliable Predictor of Metabolic Disorder in Gallstones

Bezmialem Science 2024;12(3):363-367
1. Medical Park Hospital Clinic of General Surgery, Ordu, Türkiye
2. Ayancık State Hospital Clinic of Internal Medicine, Sinop, Türkiye
3. Medicana International Samsun Hospital Clinic of General Surgery, Samsun, Türkiye
No information available.
No information available
Received Date: 05.05.2022
Accepted Date: 16.04.2024
Online Date: 31.07.2024
Publish Date: 31.07.2024
PDF
Cite
Share
Request

ABSTRACT

Objective

The risk of gallstones is increased in fatty liver, overweight, and metabolic syndrome. The hyperinsulinemic-euglycemic clamp method is considered the best method for insulin resistance (IR); but it is a time consuming and expensive procedure. As an alternative strategy, in this study, we would like to demonstrate the triglyceride-glucose (TyG) index  as the predictor of the development of gallstone disease associated with metabolic disorders.

Methods

The TyG was investigated in our study with 1484 patients between the ages of 18-75 who underwent follow-up and/or cholecystectomy due to gallstones. The serum fasting blood glucose and triglyceride levels of the patients were measured in the biochemistry laboratory of our hospital. The bile ducts and gallstones of all patients were evaluated with the Philips Affiniti 50 (The Philips Affiniti 50 Ultrasound; Philips North America Corporation 3000 Minuteman Road M/S 109 Andover, MA 01810, USA) ultrasonography device used by radiologists in the radiology clinic of our hospital. The data obtained were evaluated in SPSS, and p<0.05 was considered significant.

Results

Our study includes 1484 (980 female, 504 male) patients. The plasma glucose (124.6±24.5 mg/dL), triglyceride (198.3±36.8 mg/dL), insulin (16.5±5.6 uIU/mL), and Homeostasis Model Assessment of IR 4 level (8±1.2), were at statistically and significantly higher levels in the patients than in the control group (p=0.001). It was found that the basal TyG was associated with the primary endpoint incidence of gallstones at significant levels. The TyG was related with hazard ratio 1.65 as a continuous variable in univariate analysis (95% confidence interval 1.15-1.98; p<0.001).

Conclusion

High TyG scores were associated with gallstone disease, and it can be used as an identifying marker for screening people who have gallstone disease and as an indication for therapeutic precautions.

Introduction

Gallstones are common in the world. The prevalence of gallstones has a frequency of 10-15% in developed countries (1). If we identify the chain of events that result in the formation of gallstones, many studies were conducted in the past to elucidate the factors and mechanisms responsible for the nucleation of crystals (2). There are some theories about gallstone formation. But the most accepted theories are the changes in bile composition (oversaturation of calcium bilirubinate, pigment and cholesterol stones), increased crystal nucleation in the presence of mucin and similar factors, and slowing of bile flow (3).

The risk of especially gallstones is increased in fatty liver, obesity and metabolic diseases (4). It has been reported in recent years that metabolic disorders are associated with diseases such as fatty liver, type 2 diabetes mellitus (DM), metabolic syndrome, and hyperlipidemia (5, 6). Insulin resistance (IR) is the predictor of the onset of these diseases, and is a widely used marker (7). It is already known that IR is a key factor in the pathogenesis of metabolic abnormalities (8). The hyperinsulinemic-euglycemic clamp (HEC) method is considered as the best method for IR; however, it is a difficult process and costly. As an alternative strategy, we would like to investigate the triglyceride-glucose (TyG) index which is a faster and low-cost biochemical measurement tool, as the predictor of the development of gallstone disease associated with metabolic disorders for the first time.

Methods

The TyG index was investigated in our study with 1484 patients, who were between the ages of 18-75, who underwent follow-up and/or cholecystectomy due to gallstones in our general surgery clinic between 2010-2021. Patients who were pregnant, who had acute inflammation, alcohol use, history of cancer, renal or infectious hepatitis (anti-HCV positive), and liver cirrhosis were excluded from the study. Those who had a history of DM or newly diagnosed diabetic patients, those who used triglyceride-reducing medication (statins, fibrates, omega-3, thiazolidinedione, or insulin) were also excluded from the study.

The demographic characteristics of the patients, their biochemical data, ultrasonographic examination reports of the bile ducts were collected from the patient files and electronic records. The serum fasting blood glucose and triglyceride levels of the patients were measured in the biochemistry laboratory of our hospital. Plasma glucose (cut-off level 70-100 mg/dL) was determined with the glucose oxidase method. The triglyceride (cut-off level 0-150 mg/dL) level was determined with the enzymatic method. Fasting plasma was calculated by using glucose and insulin (cut-off level 0-25 uIU/mL) and Homeostasis Model Assessment for IR (HOMA-IR) [HOMA-IR: fasting insulin (uIU/mL) x fasting glucose (mg/dL)/405] (9). The TyG index was calculated with the formula in [fasting TGs (mg/dL) x fasting glucose (mg/dL)/2] and using fasting triglyceride and glucose (10). The biliary tract and gallstones of all patients were evaluated with the Philips Affiniti 50 (The Philips Affiniti 50 Ultrasound; Philips North America Corporation 3000 Minuteman Road M/S 109 Andover, MA 01810, USA) ultrasonography (US) device used by radiologists in our hospital’s radiology clinic. Philips Affiniti 50 brand US device is a well-equipped device that provides radiologists with new levels of clinical knowledge by providing easy examination with advanced organ modeling, image sectioning and proven quantification.

This study was conducted in accordance with the ethical rules with the approval of Medicana International Samsun Hospital Clinical Research Ethics Committee (decision no: 7136, date: 20.05.2021). All participants were informed before the study and were included in the study after their consent was obtained. The study was conducted in accordance with the principles of the Declaration of Helsinki.

Statistical Analysis

The data was transferred to IBM SPSS Statistics 22 (IBM, Armonk, NY, USA) and processed. Frequency distribution (number, percentage) for categorical variables and descriptive statistics (mean, standard deviation) for numerical variables were provided while assessing the study data. The Kolmogorov-Smirnov test was used to determine if numerical variables followed a normal distribution. For normal distribution variables, independent sample t-test was employed to see if there was a difference between the two groups. For variables that did not fit a normal distribution, the Mann-Whitney U test was utilized. To assess the association between two category variables, the chi-square test was performed. In addition, the cut-offs for the variables were determined using receiver operating characteristic (ROC) analysis. The statistically significant two tailed p-value was considered as <0.05.

Results

A total of 1484 (980 female, 504 male) patients were included in the present study. The mean age of the patients was 54±12.5 (18-75). The biochemical parameters used in our study, the plasma glucose (124.6±24.5 mg/dL), triglyceride (198.3±36.8 mg/dL), insulin (16.5±5.6 uIU/mL), and HOMA-IR 4 level (8±1.2) were at statistically and significantly higher levels in the patients than in the control group (p=0.001). The clinical data, demographic characteristics, and biochemical data of the cases are shown in Table 1.

The fasting plasma glucose and triglyceride levels were found to be higher at statistically significant levels in the group with gallstones when compared to the group without gallstones in our study (p=0.001). It was found that the basal TyG index was associated with the primary endpoint incidence of gallstones at significant levels. The TyG index was associated with hazard ratio (HR) 1.65 as a continuous variable in univariate analysis [95% confidence interval (CI) 1.15-1.98; p<0.001]. The cut-off value of the TyG index was 4.82 for gallstone disease. Area under the ROC curve (AUROC)=0.789 (95% CI 0.783-0.795). The ≥4.82 TyG Index value identified gallstone disease with a sensitivity of 74.2% and a specificity of 72.5% (Figure 1). The TyG index value was accepted as 4.49; the intersection point with IR with a sensitivity of 82.6% and specificity of 82.1% in previous studies (AUC=0.889, 95% CI: 0.854-0.924) (11).

Discussion

Among the pathogenic factors for gallstones, genetic predisposition, hepatic oversecretion of cholesterol, oversaturated bile, oversaturation and inflamation in the gallbladder, and altered bowel microbiota are mentioned in previous studies (12). The pathophysiology of this disease are associated with IR, overweight, metabolic diseases, and DM (13, 14). Gallstones are among the consequences of metabolic disorders. In this respect, using tests and markers to predict metabolic diseases may be predictive for gallstones from the consequences of metabolic diseases.

IR was used as an important tool for metabolic disorders for many years (15). The HEC is the best test for IR measurement. However, it cannot be used commonly in clinical settings because of the complexity of the test process (16). Metabolic disorders are related with the chronic increases in plasma glucose and triglycerides. It was reported in recent studies that the TyG index is associated with IR that is measured with the HEC test at significant levels. It was shown that it performs better than the HOMA-IR evaluation (17, 18). In the present study, it was found that the HOMA-IR level was higher in gallbladder stone disease. We can speculate that some gallstones are the result of metabolic diseases.

The pathogenesis of gallstones has not yet been fully understood. New risk factors continue to be identified in addition to previous risk factors (19). In this respect, one of the most important risk factors is IR. Many previous studies showed that non-insulin-dependent diabetic patients have a risk factor in this regard (20). In these studies, it was reported that the most important risk was that IR might be the primary factor playing roles in the formation of gallstones (21, 22). The relation between gallstones and metabolic syndrome and/or IR syndrome is the subject of recent reports (22, 23). However, there are very few data on the relation with IR. It was found in our study that the fasting plasma glucose and insulin values, which are ​​among the metabolic parameters, were statistically higher in the patients compared to the control group. We also detected IR in the group with gallstones.

It was reported in previous studies that the risk factors for cholesterol gallstones were increased waist circumference and central fat deposition. It was shown that these two factors are frequently related with hyperlipidemia (especially hypertriglyceridemia and low-high-density lipoprotein concentrations) (24, 25). These increased bile cholesterol concentrations and gallbladder mucin secretion caused by hypertriglyceridemia may constitute the basic steps in the pathogenesis of gallstones (26-28). We showed in our study that the triglyceride level is significantly higher. It might be the preliminary finding of metabolic gallstones.

It was shown in recent studies that the TyG index can predict the incidence of fatty liver disease (29). It was shown that it is the definition and predictor of metabolic syndrome (30). It was also shown to be a risk determinant and predictor in prediabetes, diabetes, coronary syndrome, hypertension, macrovascular complications and obesity, which are the reflections of IR and/or metabolic diseases, and these diseases are strongly associated with the TyG index (31-34). Some gallstones are detected in patients with metabolic syndrome associated with hyperinsulinemia, hypertriglyceridemia, and high glucose levels. IR, metabolic syndrome, and gallstones were investigated very little in previous studies, and the data are very inadequate in this respect. The relation between the TyG index and gallstones was not investigated until now. Our study is the first one in this regard. It was determined in our study that the incidence of gallstone disease, which is the primary endpoint and the TyG index were significantly associated. As a continuous variable, the TyG index was associated with HR 1.65 in univariate analysis (95% CI 1.15-1.98; p<0.001). The cut-off value of the TyG index was 4.82 for gallstone disease. AUROC=0.789 (95% CI 0.783-0.795). The TyG index ≥4.82 identified gallstone disease with a sensitivity of 74.2% and a specificity of 72.5%. We showed that there is a strong relation between gallstone disease and the TyG index.

Conclusion

When the findings of this study were evaluated, it was found that high TyG index scores were associated with gallstone disease. We showed that the TyG index is a definition and predictor of gallstone disease. For this reason, it can be used as an identifying marker for screening people who have gallstone disease and as an indication for therapeutic precautions.

References

1
Acalovschi M. Gallstones in patients with liver cirrhosis: incidence, etiology, clinical and therapeutical aspects. World J Gastroenterol. 2014;20:7277-85.
2
Saunders KD, Cates JA, Roslyn JJ. Pathogenesis of gallstones. Surg Clin North Am. 1990;70:1197-216.
3
Abraham S, Rivero HG, Erlikh IV, Griffith LF, Kondamudi VK. Surgical and nonsurgical management of gallstones. Am Fam Physician. 2014;89:795-802.
4
Fracanzani AL, Valenti L, Russello M, Miele L, Bertelli C, Bellia A, et al. Gallstone disease is associated with more severe liver damage in patients with non-alcoholic fatty liver disease. PLoS One. 2012;7:e41183.
5
Yki-Järvinen H. Non-alcoholic fatty liver disease as a cause and a consequence of metabolic syndrome. Lancet Diabetes Endocrinol. 2014;2:901-10.
6
Lee JH, Rhee PL, Lee JK, Lee KT, Kim JJ, Koh KC, et al. Role of hyperinsulinemia and glucose intolerance in the pathogenesis of nonalcoholic fatty liver in patients with normal body weight. Korean J Intern Med. 1998;13:12-4.
7
Isokuortti E, Zhou Y, Peltonen M, Bugianesi E, Clement K, Bonnefont-Rousselot D, et al. Use of HOMA-IR to diagnose non-alcoholic fatty liver disease: a population-based and inter-laboratory study. Diabetologia. 2017;60:1873-82.
8
Borai A, Livingstone C, Ferns GA. The biochemical assessment of insulin resistance. Ann Clin Biochem. 2007;44:324-42.
9
Salgado AL, Carvalho Ld, Oliveira AC, Santos VN, Vieira JG, Parise ER. Insulin resistance index (HOMA-IR) in the differentiation of patients with non-alcoholic fatty liver disease and healthy individuals. Arq Gastroenterol. 2010;47:165-9.
10
Simental-Mendía LE, Rodríguez-Morán M, Guerrero-Romero F. The product of fasting glucose and triglycerides as surrogate for identifying insulin resistance in apparently healthy subjects. Metab Syndr Relat Disord. 2008;6:299-304.
11
Salazar J, Bermúdez V, Calvo M, Olivar LC, Luzardo E, Navarro C, et al. Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population. F1000Res. 2017;6:1337.
12
Venneman NG, van Erpecum KJ. Pathogenesis of gallstones. Gastroenterol Clin North Am. 2010;39:171-83.
13
Di Ciaula A, Wang DQ, Portincasa P. An update on the pathogenesis of cholesterol gallstone disease. Curr Opin Gastroenterol. 2018;34:71-80.
14
Grigor’eva IN. Gallstone Disease, Obesity and the Firmicutes/Bacteroidetes Ratio as a Possible Biomarker of Gut Dysbiosis. J Pers Med. 2020;11:13.
15
Ma X, Dong L, Shao Q, Cheng Y, Lv S, Sun Y, et al. Triglyceride glucose index for predicting cardiovascular outcomes after percutaneous coronary intervention in patients with type 2 diabetes mellitus and acute coronary syndrome. Cardiovasc Diabetol. 2020;19:31.
16
No authors listed. Consensus Development Conference on Insulin Resistance. 5-6 November 1997. American Diabetes Association. Diabetes Care. 1998;21:310-4.
17
Guerrero-Romero F, Simental-Mendía LE, González-Ortiz M, Martínez-Abundis E, Ramos-Zavala MG, Hernández-González SO, et al. The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. J Clin Endocrinol Metab. 2010;95:3347-51.
18
Vasques AC, Novaes FS, de Oliveira Mda S, Souza JR, Yamanaka A, Pareja JC, et al. TyG index performs better than HOMA in a Brazilian population: a hyperglycemic clamp validated study. Diabetes Res Clin Pract. 2011;93:98-100.
19
Diehl AK. Cholelithiasis and the insulin resistance syndrome. Hepatology. 2000;31:528-30.
20
Ruhl CE, Everhart JE. Association of diabetes, serum insulin, and C-peptide with gallbladder disease. Hepatology. 2000;31:299-303.
21
Heaton KW, Braddon FE, Mountford RA, Hughes AO, Emmett PM. Symptomatic and silent gall stones in the community. Gut. 1991;32:316-20.
22
Chang Y, Sung E, Ryu S, Park YW, Jang YM, Park M. Insulin resistance is associated with gallstones even in non-obese, non-diabetic Korean men. J Korean Med Sci. 2008;23:644-50.
23
Grundy SM. Cholesterol gallstones: a fellow traveler with metabolic syndrome? Am J Clin Nutr. 2004;80:1-2.
24
Banim PJ, Luben RN, Bulluck H, Sharp SJ, Wareham NJ, Khaw KT, et al. The aetiology of symptomatic gallstones quantification of the effects of obesity, alcohol and serum lipids on risk. Epidemiological and biomarker data from a UK prospective cohort study (EPIC-Norfolk). Eur J Gastroenterol Hepatol. 2011;23:733-40.
25
Jensen MD, Ryan DH, Apovian CM, Ard JD, Comuzzie AG, Donato KA, et al. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society. Circulation. 2014;129(25 Suppl 2):102-38. Erratum in: Circulation. 201424;129(25 Suppl 2):139-40.
26
Ståhlberg D, Rudling M, Angelin B, Björkhem I, Forsell P, Nilsell K, et al. Hepatic cholesterol metabolism in human obesity. Hepatology. 1997;25:1447-50.
27
Mingrone G, Greco AV, Finotti E, Passi S. Free fatty acids: a stimulus for mucin hypersecretion in cholesterol gallstone biles. Biochim Biophys Acta. 1988;958:52-9.
28
Di Ciaula A, Garruti G, Frühbeck G, De Angelis M, de Bari O, Wang DQ, et al. The Role of Diet in the Pathogenesis of Cholesterol Gallstones. Curr Med Chem. 2019;26:3620-38.
29
Lee SB, Kim MK, Kang S, Park K, Kim JH, Baik SJ, et al. Triglyceride Glucose Index Is Superior to the Homeostasis Model Assessment of Insulin Resistance for Predicting Nonalcoholic Fatty Liver Disease in Korean Adults. Endocrinol Metab (Seoul). 2019;34:179-86.
30
Raimi TH, Dele-Ojo BF, Dada SA, Fadare JO, Ajayi DD, Ajayi EA, et al. Triglyceride-Glucose Index and Related Parameters Predicted Metabolic Syndrome in Nigerians. Metab Syndr Relat Disord. 2021;19:76-82.
31
Wen J, Wang A, Liu G, Wang M, Zuo Y, Li W, et al. Elevated triglyceride-glucose (TyG) index predicts incidence of Prediabetes: a prospective cohort study in China. Lipids Health Dis. 2020;19:226.
32
Wang K, He G, Zhang Y, Yin J, Yan Y, Zhang Y, et al. Association of triglyceride-glucose index and its interaction with obesity on hypertension risk in Chinese: a population-based study. J Hum Hypertens. 2021;35:232-9.
33
Fritz J, Bjørge T, Nagel G, Manjer J, Engeland A, Häggström C, et al. The triglyceride-glucose index as a measure of insulin resistance and risk of obesity-related cancers. Int J Epidemiol. 2020;49:193-204.
34
da Silva A, Caldas APS, Hermsdorff HHM, Bersch-Ferreira ÂC, Torreglosa CR, Weber B, et al. Triglyceride-glucose index is associated with symptomatic coronary artery disease in patients in secondary care. Cardiovasc Diabetol. 2019;18:89.
2024 ©️ Galenos Publishing House