When Genes Raise Cholesterol, Diet May Make a Difference

GS Paper: GS-II (Health) | GS-III (Science and Technology: Genomics) |

Source: TOI

Why in News?

A study of 1,020 adults in Chennai, CURES-165 (Chennai Urban Rural Epidemiology Study), published in PLOS ONE by Dr Mohan's Diabetes Specialities Centre and the Madras Diabetes Research Foundation, found that a high-quality diet can offset a genetic predisposition to high LDL ("bad") cholesterol.

Key Findings

•       Researchers studied three genetic variants (TCF7L2, FTO and another, e.g., rs1588413) and combined them into a genetic risk score; diet quality was assessed using the Indian Diet Quality Score.

•       A higher genetic risk was associated with significantly higher total and LDL cholesterol in those eating a poor-quality diet. The effect was not significant in medium- and high-quality diet groups, showing gene-diet interaction.

•       Genetic risk was also linked to higher fasting blood glucose and glycated haemoglobin (HbA1c, 2-3 month blood sugar average).

Dietary Messages

•       Refined carbohydrates (polished white rice, maida, sugar and sweetened drinks) get converted to fat in the liver, raising triglycerides and small dense LDL particles that are more harmful.

•       Saturated and trans fats (ghee, butter, coconut and palm oil, vanaspati) raise LDL. Prefer unsaturated oils (mustard, groundnut, sesame).

•       Plate model: half vegetables and fruit; one quarter protein (dal, pulses, dairy); one quarter whole grains (millets, whole wheat, brown rice).

•       Swaps: hand-pounded rice, whole-wheat phulkas, roasted chana or nuts in place of fried snacks, less sugar in chai, and whole fruit rather than juice.

•       Diet lowers LDL by varying degrees; those with a strong genetic risk may still need statins or other drugs.

Significance

•       Supports precision nutrition and the idea that inherited susceptibility is not destiny. It informs India's strategy for NCDs (cardiovascular disease, diabetes) which cause the majority of deaths.

•       Limitation: a Chennai urban sample, so findings are not necessarily generalisable (the ICMR-INDIAB study shows regional differences in staple foods and diabetes).

Quick Revision: Mains Linkages

•       Demography + Jobs: Articles 1, 3, 5 and 6 connect to the demographic dividend, which needs quality jobs, especially for women.

•       Agriculture + Environment: Article 2 connects to subsidy reform, climate (nitrous oxide) and groundwater.

•       Household finance + Inclusive growth: Articles 3 and 4 on debt, savings and the K-shaped recovery.

•       Health: Article 7 on NCDs and precision nutrition.