Association of trans fatty acids with lipids and other cardiovascular risk factors in an Indian industrial population

BMC Research Notes, Jun 2019

Trans-fat, an invariable component of industrial fat is considered as one of the major dietary factors associated with CVD. Although the use of trans-fat is completely banned in some of the high-income countries where the CVD epidemic is declining, it is widely used in LMIC. We aimed to investigate the association of trans fatty acid in serum with risk markers of CVD in an industrial population in India. Participants were randomly selected from a study conducted in an industrial setting among employees and their family members. Information related to their demographic profile, anthropometric measurements, oil intake were recorded. Fasting samples were collected and stored at − 80 °C for analysis. Their lipid profile and hs CRP were measured and fatty acids analyzed using gas chromatography (GC) with flame ionization detector (FID). Complete data was available for 176 participants. Among trans fatty acids, mono trans fatty acid was significant predictor of serum triglycerides [Unadjusted β (95% CI) 22.9 (2.6, 43.2); Adjusted β (95% CI) 20.4 (3.5, 37.3)]. None of the other trans fatty acids either individually or in group correlated with any of the biochemical markers studied.

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Association of trans fatty acids with lipids and other cardiovascular risk factors in an Indian industrial population

Research note Open Access Association of trans fatty acids with lipids and other cardiovascular risk factors in an Indian industrial population Ruby Gupta1Email authorView ORCID ID profile, Ransi Ann Abraham2, Dimple Kondal1, Savita Dhatwalia1, Panniyammakal Jeemon3, K. S. Reddy1, D. Prabhakaran1 and Lakshmy Ramakrishnan2 BMC Research Notes201912:342 https://doi.org/10.1186/s13104-019-4352-7 ©  The Author(s) 2019 Received: 27 December 2018Accepted: 31 May 2019Published: 17 June 2019 Abstract Objective Trans-fat, an invariable component of industrial fat is considered as one of the major dietary factors associated with CVD. Although the use of trans-fat is completely banned in some of the high-income countries where the CVD epidemic is declining, it is widely used in LMIC. We aimed to investigate the association of trans fatty acid in serum with risk markers of CVD in an industrial population in India. Participants were randomly selected from a study conducted in an industrial setting among employees and their family members. Information related to their demographic profile, anthropometric measurements, oil intake were recorded. Fasting samples were collected and stored at − 80 °C for analysis. Their lipid profile and hs CRP were measured and fatty acids analyzed using gas chromatography (GC) with flame ionization detector (FID). Results Complete data was available for 176 participants. Among trans fatty acids, mono trans fatty acid was significant predictor of serum triglycerides [Unadjusted β (95% CI) 22.9 (2.6, 43.2); Adjusted β (95% CI) 20.4 (3.5, 37.3)]. None of the other trans fatty acids either individually or in group correlated with any of the biochemical markers studied. Keywords Saturated fatty acidMonounsaturated fatty acidPolyunsaturated fatty acidTrans fatty acidhs CRPLipids Introduction Cardiovascular Disease (CVD) burden is increasing in low and middle-income countries [1] in the past two decades. Studies imply that consumption of trans fatty acids is directly contributing to the twentieth century epidemic of cardiovascular disease [2]. Several prospective epidemiological studies provide strong evidence on the association of trans-fat consumption and coronary heart disease [3–5]. Adverse effects of trans fatty acids are mainly due to their effects on lipid levels, endothelial function and inflammation [6]. The increase in cardiovascular disease risk in developing countries like India is largely due to sociological changes, urbanization and socio-economic status that influences pattern of dietary fat intake. India is a country with wide variation in food habits and trans fatty acids from dietary sources may be contributing to increased risk of CVD. In many parts of India, hydrogenated vegetable oil in the form of Vanaspati are consumed in great quantity which is known to have highest content of trans fat. On the other hand, in northern India the most commonly used oil is mustard oil that is rich in alpha-linoleic acid (18:3, n − 3), a polyunsaturated fatty acid. In a recent study, high trans-fat content was reported in fried food and snacks [7, 8] as well as edible oils from various commercially available brands in India [9]. Intake of fats can be best assessed by objectively measuring them in serum/plasma under controlled conditions [10]. Recently, WHO has announced an initiative called REPLACE to eliminate trans fat completely from the world by 2023. To assess the intake of trans fat and the gravity of problem caused by trans fat in India we need to objectively measure trans fat in blood [11]. To the best of our knowledge, information on levels of trans fatty acids in plasma/serum are not available from resident Indians. In the present study we estimated serum fatty acid levels in an industrial population from India and evaluated its correlation with other risk factors for CVD, like lipids, lipoproteins and markers of inflammation. Main text Methods The present study was part of a larger study being undertaken in an industrial population from Delhi [12]. The study was conducted to assess the impact of a risk reduction programme on risk factor clustering in selected industrial population. We randomly selected 200 individuals from the baseline survey of the main study, conducted in an Industry in periphery of New Delhi. Participants were industry employees and their family members, between the age 20 to 69 years. Individuals who reported smoking (more than 10 cig/day), having heart disease, stroke, chronic renal failure, thyroid disorder and cancer were excluded from the study. Participants with diabetes (history or freshly diagnosed) were not included in the study. Also, those who reported consuming any dietary supplements or medications known to alter lipids, on steroids and beta-blockers were excluded. Data related to their demographic profile, anthropometric measurements, frequency of food intake and type of oil use were collected for all the individuals participating in the study. Blood samples were collected after an overnight fast of 10–12 h. Serum was separated and stored at − 70 °C for analysis of lipids and fatty acids. Total cholesterol was estimated by CHOD-PAP (cholesterol oxidase/p-aminophenazone) method, triglycerides by GPO-PAP (glycerol phosphate oxidase-peroxidase aminophenazone) method, HDL-c was estimated by the precipitation method using phosphotungstate/magnesium precipitation of apolipoprotein B containing lipoproteins followed by estimation of cholesterol in the supernatant by enzymatic method, using kits from RANDOX. Apo A1, Apo B were estimated by the immunoturbidimetry method and hs CRP was estimated by latex enhanced agglutination turbidimetry using kits from Sentinel Diagnostics (Milan, Italy). Fatty acid analysis Esterification of fatty acids in serum was performed using method of [13]. 200 µL serum was mixed with 2 mL of methanol-toluene (4:1, v/v) containing 0.02 g 21:0/L and 0.12 g butylated hydroxytoluene/L followed by drop wise addition of 200 µL acetyl chloride and heating to 100 °C for 1 h. The reaction was stopped by adding 5.0 mL of 6% potassium carbonate. The sample was centrifuged at 3000 rpm at 4 °C for 10 min, the toluene layer was separated and evaporated under stream of nitrogen. Fatty acid methyl esters were re-dissolved in iso-octane and were subjected to gas–liquid chromatography. Column used was fused silica capillary SP2560, 100 m × 250 µm internal diameters × 0.20 µm film (Supelco, Bellefonte, Pennsylvania). The port temperatures of both the injector and the detector were set at 250 °C. The Oven temperature was initially set at 170 °C for 2 min and then increased 10 °C/min until a temperature of 190 °C is reached and then held for 1 min. Temperature was then increased at the rate 3 °C/min until 220 °C is reached and maintained. 1 µL sample was used for injection with a split of 10:1. The chromatograph was equipped with a flame ionization detector. Fatty acid peaks were identified by comparing their retention times with those of a standard mixture from Supelco (SIGMA-ALDRICH) using software WINACDS 7.0 from AIMIL, Nucon Technologies. Statistical analysis The distribution of the parameters was assessed graphically using histograms, q–q plots and Shapiro-Wilks lambda test. Data are presented as mean ± SD for normally distributed and as median (Inter-quartile range) for non-normally distributed fatty acids. Individual fatty acids were expressed in terms of percentage of total fatty acids measured. The strength of relationship between lipid profile and various fatty acids were calculated using Pearson/Spearman rank correlation whichever appropriate. Linear regression was done to assess the strength of association of total cholesterol, triglycerides, HDL-c, LDL-c, TC/HDL ratio, Apo A1, Apo B and hs CRP (as outcomes) with various fatty acids (Independent variables). The model was also adjusted for age, gender, BMI, diet, smoking and alcohol use. The β estimates with 95% confidence intervals are reported. All the statistical analysis was done using STATA 15.1 version (College station, Texas, USA). Trans fatty acids were further grouped as mono trans fatty acids: C16:1 t, C 18:1 9t, C 18:1 11t; poly trans fatty acids: C 18:2 t, C 18:3 t; total trans fatty acid: mono trans + poly trans. Results Total 1229 employees were recruited for the main study. After screening for the exclusion criteria, 518 individuals were found eligible. We randomly selected 200 individuals for our study and complete biochemical as well as fatty acid profile were available for 176 individuals. The mean age of the study population was 47.23 ± 6.0 years and were predominantly males (89.2%). The mean Body Mass Index (BMI in kg/m2) of the participants was 24.88 ± 3.43 with a mean waist circumference of 91.50 ± 9.56 cm. 40% of the participants were vegetarian, 22% were smokers and 35% were current users of alcohol. 9% of the study participant had self-reported hypertension. The basic characteristics of the study participants, their biochemical risk markers are provided in Table 1. The mean percent content of trans fatty acid in the study participants were highly skewed as can be seen in Additional file 1: Table S1. Table 1 Basic characteristics and biochemical markers of the study participants (n = 176) Parameters N (%)/mean (SD)/median (IQR) Age in years, mean (sd) 47.2 (6.0) Gender, males (%) 157 (89.2) BMI (kg/m2), mean (sd) 24.9 (3.4) Waist circumference (cm), mean (sd) 91.5 (9.5) Vegetarian diet, n (%) 71 (40.3) Ever smokers, n (%) 38 (21.6) Alcohol use, n (%) 62 (35.2) Hypertension, n (%) 16 (9.1) Cholesterol (mg/dL), mean (sd) 194.7 (30.7) Triglycerides (mg/dL), mean (sd) 139.5 (62.4) HDL-c (mg/dL), mean (sd) 37.5 (9.3) Chol/hdl ratio, mean (sd) 5.4 (1.0) LDL-c (mg/dL), mean (sd) 130.8 (28.7) Apo A1 (mg/dL), mean (sd) 125.8 (23.7) Apo B (mg/dL), mean (sd) 106.9 (20.0) Hs CRP (mg/L), median (IQR) 1.7 (0.8, 3.8) BMI, body mass index; IQR, inter quartile range; HDL-c, high-density lipoprotein cholesterol; LDL-c, low-density lipoprotein cholesterol; Apo A1, apolipoprotein A1; Apo B, apolipoprotein B; hs CRP, high sensitive c-reactive protein Table 2 shows the correlation between trans fatty acids with other biochemical risk markers of CVD. Among trans fatty acids, mono trans fatty acid was positively associated with serum triglycerides (r = 0.166) and C16:1 trans with Apo B (r = 0.153) and LDL (r = 0.112). C18:2 trans was inversely associated with HDL levels in serum (r = − 0.136). The relationship between trans fatty acids and lipids and other markers remain the same after adjustment with age and gender (data not shown). None of the other trans fatty acids either individually or in group correlated with any of the biochemical markers studied. Table 2 Correlation coefficient between trans fatty acids with lipids and inflammatory marker Fatty acids TC TG HDL TC/HDL ratio LDL Apo A1 Apo B hs CRP C18:1 trans − 0.086 0.091 − 0.071 0.003 − 0.143 0.041 − 0.117 − 0.037 C18:2 trans − 0.077 − 0.041 − 0.136 0.095 − 0.041 − 0.111 − 0.066 − 0.073 C18:3 trans − 0.003 0.011 0.088 − 0.112 − 0.008 − 0.078 − 0.036 0.055 Mono trans − 0.014 0.166 − 0.105 0.063 − 0.018 0.013 0.028 − 0.056 Poly trans − 0.037 − 0.009 0.014 − 0.052 − 0.024 − 0.114 − 0.060 0.016 Total trans − 0.038 0.059 − 0.029 − 0.020 − 0.029 − 0.098 − 0.043 − 0.008 C16:1 trans 0.056 0.143 − 0.078 0.082 0.112 − 0.021 0.153 − 0.041 C 18:1 11 trans − 0.099 0.073 − 0.006 − 0.070 − 0.104 − 0.077 − 0.054 − 0.028 C18:1 9 trans − 0.045 0.065 − 0.078 0.040 − 0.107 0.090 − 0.106 − 0.028 TC, total cholesterol; TG, triglycerides; HDL, high density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol; 18:1 trans, C 18:1 9t + C 18:1 11t; mono trans fatty acids, C16:1 t + C 18:1 9t (Elaidic acid) + C 18:1 11t (Vaccenic acid); poly trans fatty acids, C 18:2 t + C 18:3 t; total trans fatty acid, mono trans + poly trans; Apo A1, apolipoprotein A1; Apo B, apolipoprotein B; hs CRP, high sensitive c-reactive protein On regression analysis (Tables 3, 4, 5), mono trans and trans palmitoleic acid significantly predicted high triglyceride levels even after adjustment with potential confounders [Unadjusted β (95% CI) 22.9 (2.6, 43.2); Adjusted β (95% CI) 20.4 (3.5, 37.3) and Unadjusted β (95% CI) 26.5 (− 0.9, 53.8); Adjusted β (95% CI) 20.9 (1.1, 40.7) respectively]. This implies that 1 unit (here % of fatty acids) change in mono trans fatty acid is associated with an average rise of triglycerides by 20 mg/dL. Table 3 Regression analysis of trans fatty acids of C18 series Fatty acids TC TG HDL TC/HDL LDL Apo A1 Apo B hs CRP 18:1 trans  β Unadjusted (95% CI) − 8.9 (− 24.3, 6.5) 19.3 (− 12.0, 50.5) − 2.2 (− 6.9, 2.4) 0 (− 0.5, 0.5) − 13.8 (− 29.1, 1.4) 3.3 (− 9.4, 16.0) − 7.9 (− 18.6, 2.7) − 1 (− 5.4, 3.3)  β Adjusted (95% CI)# − 14.1 (− 38.6, 10.4) 26.2 (− 3.4, 75.8) − 4.3 (− 11.5, 2.9) 0.1 (− 0.7, 0.8) − 21.9 (− 45.8, 2.1) 4.6 (− 15.3, 24.6) − 11.2 (− 28.0, 5.7) − 2.3 (− 9.5, 4.8) 18:2 trans  β Unadjusted (95% CI) − 5.4 (− 15.9, 5.1) − 5.9 (− 27.2, 15.5) − 2.9 (− 6.1, 0.3) 0.2 (− 0.1, 0.6) − 2.8 (− 13.7, 8.1) − 6.3 (− 15.3, 2.6) − 3.2 (− 10.8, 4.4) − 1.4 (− 4.5, 1.7)  β Adjusted (95% CI)# − 2.1 (− 6.6, 2.5) 2.0 (− 7.0, 11.0) − 1.0 (− 2.2, 0.2) 0.1 (− 0.0, 0.2) − 1.3 (− 5.9, 3.3) − 1.4 (− 5.0, 2.2) 0.5 (− 2.6, 3.6) − 0.1 (− 0.5, 0.2) 18:3 trans  β Unadjusted (95% CI) − 0.1 (− 5.7, 5.4) 0.8 (− 10.5, 12.1) 1.0 (− 0.7, 2.7) − 0.1 (− 0.3, 0.0) − 0.3 (− 5.7, 5.2) − 2.2 (− 6.7, 2.3) − 0.9 (− 4.7, 2.9) 0.5 (− 1.0, 2.1)  β Adjusted (95% CI)# − 1.5 (− 8.9, 6.0) 2.3 (− 12.7, 17.2) 0.8 (− 1.4, 2.9) − 0.1 (− 0.4, 0.1) − 3.2 (− 10.0, 3.6) − 2.6 (− 8.2, 3.0) − 1.8 (− 6.6, 2.9) 0.3 (− 1.7, 2.4) TC, total cholesterol; TG, triglycerides; HDL, high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol; Apo A1, apolipoprotein A1; Apo B, apolipoprotein B; hs CRP, high sensitive c-reactive protein * Values are significant (p < 0.05) #Model adjusted with age, sex, bmi, diet, smoking and alcohol use Table 4 Regression analysis of trans fatty acids in groups Fatty acids TC TG HDL TC/HDL LDL Apo A1 Apo B hs CRP Mono trans  β Unadjusted (95% CI) − 1.0 (− 11.1, 9.2) 22.9 (2.6, 43.2)* − 2.2 (− 5.2, 0.9) 0.1 (− 0.2, 0.5) − 1.2 (− 11.9, 9.4) 0.7 (− 8.1, 9.6) 1.3 (− 6.1, 8.8) − 1.1 (− 4.1, 2.0)  β Adjusted (95% CI)# − 0.2 (− 9.2, 8.8) 20.4 (3.5, 37.3)* − 0.8 (− 3.3, 1.7) 0 (− 0.2, 0.3) − 4.0 (− 12.6, 4.7) 1.2 (− 5.8, 8.3) − 0.6 (− 6.7, 5.6) − 0.8 (− 3.4, 1.8) Poly trans β  Unadjusted (95% CI) − 1.2 (− 5.9, 3.5) − 0.6 (− 10.2, 9.0) 0.1 (− 1.3, 1.6) − 0.1 (− 0.2, 0.1) − 0.7 (− 5.4, 4.0) − 2.8 (− 6.6, 1.0) − 1.2 (− 4.5, 2.0) 0.1 (− 1.2, 1.5)  β Adjusted (95% CI)# − 2.9 (− 10.7, 4.9) 2.4 (− 13.3, 18.2) 0 (− 2.2, 2.3) − 0.1 (− 0.3, 0.2) − 3.8 (− 11.0, 3.5) − 4.1 (− 10.1, 1.8) − 2.3 (− 7.4, 2.7) 0.1 (− 2.0, 2.3) Total trans  β Unadjusted (95% CI) − 1.1 (− 5.2, 3.1) 3.4 (− 5.0, 11.8) − 0.3 (− 1.5, 1.0) 0 (− 0.2, 0.1) − 0.8 (− 5.0, 3.5) − 2.2 (− 5.7, 1.3) − 0.8 (− 3.8, 2.2) − 0.1 (− 1.3, 1.1)  β Adjusted (95% CI)# − 2.9 (− 12.8, 7.1) 9.5 (− 10.7, 29.6) − 0.8 (− 3.7, 2.1) − 0.1 (− 0.4, 0.3) − 3.6 (− 13.2, 6.0) − 5.6 (− 13.5, 2.2) − 1.5 (− 8.2, 5.2) 0.1 (− 2.7, 3.0) TC, total cholesterol; TG, triglycerides; HDL: high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol; Apo A1, apolipoprotein A1; Apo B, apolipoprotein B; hs CRP, high sensitive c-reactive protein * Values are significant (p < 0.05) #Model adjusted with age, sex, bmi, diet, smoking and alcohol use Table 5 Regression analysis of individual trans fatty acids Fatty acids TC TG HDL TC/HDL LDL Apo A1 Apo B hs CRP C16:1 trans  β Unadjusted (95% CI) 5.1 (− 8.5, 18.7) 26.5 (− 0.9, 53.8) − 2.2 (− 6.3, 1.9) 0.3 (− 0.2, 0.7) 10.6 (− 4.3, 25.4) − 1.6 (− 14.0, 10.7) 10.1 (− 0.2, 20.4) − 1.1 (− 5.3, 3.1)  β Adjusted (95% CI)# 3.4 (− 7.1, 13.9) 20.9 (1.1, 40.7)* − 0.4 (− 3.3, 2.5) 0.1 (− 0.2, 0.4) 0.7 (− 9.4, 10.8) 0.2 (− 8.0, 8.4) 2.6 (− 4.5, 9.7) − 0.3 (− 3.4, 2.7) C18:1 11 trans (Vaccenic acid)  β Unadjusted (95% CI) − 22.1 (− 55.4, 11.2) 33.3 (− 34.5, 101.1) − 0.4 (− 10.6, 9.7) − 0.5 (− 1.6, 0.6) − 21.1 (− 53.0, 10.8) − 13 (− 39.4, 13.5) − 7.6 (− 30.0, 14.7) − 1.6 (− 10.7, 7.5)  β Adjusted (95% CI)# − 25.6 (− 72.3, 21.1) 60.3 (− 34.1, 154.7) 0.3 (− 13.4, 14.1) − 0.8 (− 2.3, 0.7) − 25.6 (− 69.0, 17.8) − 16.5 (− 52.3, 19.3) − 4.8 (− 35.3, 25.7) − 4.9 (− 17.8, 8.0) C18:1 9 trans (Elaidic acid)  β Unadjusted (95% CI) − 5.3 (− 22.8, 12.2) 15.5 (− 20.1, 51.1) − 2.8 (− 8.1, 2.5) 0.2 (− 0.4, 0.7) − 12 (− 29.7, 5.7) 8.4 (− 6.3, 23.1) − 8.3 (− 20.7, 4.0) − 0.9 (− 6.0, 4.2)  β Adjusted (95% CI)# − 11.4 (− 38.6, 15.8) 10.1 (− 45.1, 65.2) − 5.2 (− 13.2, 2.8) 0.2 (− 0.6, 1.1) − 20.4 (− 48.0, 7.1) 12.9 (− 9.8, 35.7) − 14.4 (− 33.7, 4.9) − 1.3 (− 9.5, 6.9) TC, total cholesterol; TG, triglycerides; HDL, high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol; Apo A1, apolipoprotein A1; Apo B, apolipoprotein B; hs CRP, high sensitive c-reactive protein * Values are significant (p < 0.05) #Model adjusted with age, sex, bmi, diet, smoking and alcohol use Discussion The diet among Indian population varies considerably with geographical location. Unlike western countries where majority of the population is dependent on packaged food, Indians are more experimental with their indigenous agricultural products. This gives rise to an enormous possibility of food categories and types, and their fatty acid content assessment is a labor intensive task, however, serum fatty acid profile reflects the recent intake through diet. Fasting serum/plasma is a preferred sample of choice for epidemiological studies to assess dietary fatty acid intake, we have assessed the association between fatty acids & cardiovascular risk markers in the present study. Evaluation of the effect of C18:2 trans and C18:3 trans on cardiovascular risk markers through dietary studies was not found in literature. Majority of the studies have been conducted in western countries and have evaluated effect of C18:1 trans, as the major oil in their diet is monounsaturated fatty acid. In our study, mono trans fatty acid appears to be independently associated with raised triglycerides. The major contributor of mono trans are the trans-palmitoleic (palmitelaidic), elaidic and vaccenic acid, of which trans palmitoleic was the major contributor for significant raise in serum triglycerides. The major source of trans-palmitoleic acid in the study population was milk which was reported to be consumed by almost all the participants. The trans palmitoleic acid has been found to be triglycerides lowering by [14]. Association with raised triglycerides in our study could be due to hepatic release of endogenous triglycerides as a result of excess intake of carbohydrate as it is customary in India to consume milk & its product in the form of sweet. It is worthwhile to be noted that the 95% confidence interval in the regression analysis was wide due to small sample size. In conclusion poly trans and total trans were not found to be associated with any of the cardiovascular risk markers in our study. Mono trans showed significant association with triglycerides. We did not find any association between trans fatty acid and risk markers probably due to inadequate sample size, however, in spite of all the limitations and shortcomings, our study is the first in India to evaluate the effect of serum trans fatty acids on risk markers of cardiovascular disease. Limitations The study being cross-sectional in nature, could not derive a causative relationship between fatty acids and cardiovascular risk markers. The other limitation of our study is that dietary data was not collected which would have served as a validation for the fatty acids estimated in serum. Also the effect of fatty acids on various risk markers could have been evaluated after correcting with total energy intake. Abbreviations CVD:  cardiovascular disease hs CRP:  high-sensitive c-reactive protein SFA:  saturated fatty acid MUFA:  monounsaturated fatty acid PUFA:  polyunsaturated fatty acid t :  trans Declarations Acknowledgements We acknowledge and thank all the participants who became the subject for this study. Funding The study was funded by Indian Council for Medical Research, New Delhi. The funding agency had no role in the study design, sample collection, analysis, interpretation of data and in writing of the manuscript. Authors’ contributions LR and RG conceived, designed and implemented the study. SD, RAA and RG performed the laboratory work and prepared the first draft of the manuscript, DK managed the data and performed statistical analysis, PJ was the coordinator for the main study and facilitated the selection of the participants, KSR and DP gave their intellectual input into the manuscript. All authors read and approved the final manuscript. Ethics approval and consent to participate Ethics approval was obtained from Ethics Committee, All India Institute of Medical Sciences (Ref. no. 3/5.9.200023). Written signed consent was obtained from the participants. Consent for publication Not applicable. Competing interests The authors declare that they have no competing interests. Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. 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Ruby Gupta, Ransi Ann Abraham, Dimple Kondal, Savita Dhatwalia, Panniyammakal Jeemon, K. S. Reddy, D. Prabhakaran, Lakshmy Ramakrishnan. Association of trans fatty acids with lipids and other cardiovascular risk factors in an Indian industrial population, BMC Research Notes, 2019, 342, DOI: 10.1186/s13104-019-4352-7