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Published on: May 31, 2021
1 minute read
By: Dr Rajan Choudhary

REGN-COV2 – Artificial "antibody Cocktail"

REGN-COV2 – Artificial "antibody cocktail"

Recently a new drug was approved for use in COVID patients in India. Known as REGN-COV2, this new therapy is based on monoclonal antibodies targeting the SARS-CoV-2 virus responsible for COVID. So how does it work? And is there any evidence behind the treatment?

Monoclonal antibodies are made from components of the human immune system. When the human body recognizes a bacteria or virus in the body, the immune system recognizes and processes proteins on the surface of that bacteria or virus. This is presented to the adaptive immune system, and antibodies have produced that lock onto these surface proteins, neutralizing their function and also tagging them for destruction by other white blood cells.

If we identify antibodies capable of efficiently tagging and neutralizing a certain virus, we can identify the cell capable of producing that antibody, clone it and produce it in vast quantities. The antibodies produced from this cloned cell line will be able to target the virus at the same efficiency and have the same ability to neutralize the virus. Just like with vaccines, there is a risk of mutations developing, resulting in changes in the surface protein that reduce binding and neutralizing effects of the antibodies, allowing them to escape and continue to cause disease

REGN-COV2 uses two neutralizing antibodies (Casirivimab/imdevimab), in an effort to minimize the ability of a mutant virus to develop resistance against the antibody cocktail, as the virus would need to develop mutations canceling both antibodies out at once. These antibodies neutralize the receptor-binding domain of SARS-CoV-2 spike protein, preventing viral entry through ACE2 receptors.

In a study published in the New England Journal of Medicine (one of the most prestigious journals in the medical field) data from 275 patients showed a drastic reduction in viral load in patients treated with REGN-COV2. This is clinically significant as hospitalized patients with severe symptoms have higher viral counts than non-hospitalized or asymptomatic patients, suggesting the hypoxaemic, shortness of breath symptoms are related to the viral count and resulting exaggerated immune response.

Based off this result the European Medicines Agency approved the use of REGN-COV2 antibody cocktail in patients who do not require supplemental oxygen but are at high risk of progressing to severe COVID-19.

FDA regulations currently recommend it for patients who are COVID positive with risk factors that may result in their hospitalization but do not recommend it for patients who are already hospitalized, requiring O2 therapy because of COVID or need chronic O2 therapy.

Those that fall into the high-risk categories include patients with a high BMI (over 35), diabetes, on immunosuppressive treatment or with an immunosuppressive disease, over 65 years of age or those with chronic diseases such as renal disease, cardiovascular disease, COPD, or other developmental disorders.

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Busting Nutrition Myths in India: An Evidence-Based Guide Powered by SecondMedic’s AI Health Guide

Nutrition misinformation has become increasingly common in India. From viral social media diets to generational food beliefs, many individuals struggle to separate fact from fiction. These myths can influence daily habits, delay proper treatment and contribute to the growing burden of lifestyle diseases.

SecondMedic’s AI Health Guide was designed to offer clarity. By analysing scientific literature, Indian dietary patterns and personal health inputs, it explains complex nutrition topics in a human-friendly, practical manner. This blog explores the most widespread nutrition myths in India and how an AI-enabled approach helps users make informed dietary decisions.

Why Nutrition Myths Persist in India

1. Cultural dietary traditions

Food practices often evolve through experience but not always through evidence. Certain long-held assumptions continue despite scientific updates.

2. Rise of viral misinformation

Millions of Indians search diet advice online daily, and misleading content spreads rapidly without expert review.

3. High prevalence of lifestyle diseases

ICMR and NFHS-5 highlight escalating rates of:

Diabetes
Obesity
Hypertension
PCOS
Thyroid disorders

The public seeks quick solutions, making myths appealing.

4. Limited access to qualified dietitians

Many people rely on hearsay or generic tips rather than personalised nutrition guidance.

SecondMedic’s AI Health Guide bridges this gap by offering accessible, evidence-backed explanations.

Myth 1: “Carbohydrates always lead to weight gain.”

Carbohydrates are not inherently harmful.
The problem lies in refined carbohydrates like white bread, sugary drinks and packaged snacks.

What the science says

Whole grains, millets, oats and fibre-rich carbs improve:

Gut health
Blood sugar regulation
Energy levels

Research in Lancet Public Health confirms that complex carbs support metabolic wellbeing.

AI Health Guide perspective

The system evaluates:

Activity level
Blood sugar trends
Dietary preferences

Then recommends the type and quantity of carbs suitable for the individual.

Myth 2: “Protein damages the kidneys.”

This is one of India’s most common misconceptions.

Clinical reality

Protein affects kidneys only in individuals with existing kidney disease.

NFHS-5 shows that most Indians do not meet their daily protein requirement.

Balanced approach

Safe protein sources:

Lentils
Paneer
Eggs
Tofu
Chicken
Fish

An AI-guided nutrition plan ensures intake matches needs and health conditions.

Myth 3: “All fats are unhealthy.”

Fats play essential roles in:

Hormone production
Brain function
Vitamin absorption

Good fats

Nuts and seeds
Olive oil
Flaxseed
Fatty fish

Harmful fats

Trans fats
Hydrogenated oils
Deep-fried packaged snacks

SecondMedic’s AI Health Guide analyses dietary logs to suggest healthier fat alternatives.

Myth 4: “Detox diets cleanse the body.”

Detox teas, juices and cleanses are popular but not scientifically validated.

Actual detoxification

The liver, kidneys and digestive system naturally remove toxins.

Risks of extreme detox diets

Fatigue
Digestive distress
Slow metabolism
Nutrient deficiencies

A sustainable alternative includes balanced meals, hydration and fibre-rich foods.

Myth 5: “Eating after 8 PM causes weight gain.”

Timing is not the primary factor.
Weight gain depends on:

Total calorie intake
Food quality
Portion control
Sleep-wake cycles

For shift workers or late diners, an AI-based guide personalises eating windows that match biological rhythms.

How AI Personalises Nutrition Guidance for India

The AI Health Guide adapts advice based on:

• Clinical inputs

Blood reports, symptoms, chronic conditions.

• Lifestyle signals

Sleep, activity, stress, work schedules.

• Cultural eating patterns

North Indian, South Indian, vegetarian, non-vegetarian diets.

• Personal health goals

Weight control, energy improvement, disease management.

This ensures that the guidance is not generic-it is tailored for real-life Indian scenarios.

How an AI Health Guide Supports Preventive Healthcare

1. Early risk identification

AI recognises patterns that may indicate:

Rising blood sugar
Nutrient deficiencies
Poor digestion
Inflammatory markers

2. Behavioural nudges

Small, realistic changes are suggested instead of extreme diet plans.

3. Improved health literacy

Users understand why certain foods are better choices.

4. Better medical support

Clear explanations enhance doctor and dietitian consultations.

Conclusion

Nutrition myths can lead individuals toward restrictive diets, nutrient deficiencies and misguided health decisions. With rising lifestyle diseases in India, accurate nutrition knowledge is essential. A scientific, personalised approach-supported by an AI Health Guide-helps individuals navigate misinformation confidently.

By combining evidence-based insights with individual dietary needs, SecondMedic’s AI-driven guidance empowers people to adopt sustainable, preventive and truly health-enhancing food habits.

References

• ICMR Indian Nutrition Profile & Dietary Science Study
• National Family Health Survey (NFHS-5) - Protein Intake & Micronutrient Data
• NITI Aayog - Preventive Health & Digital Nutrition Insights
• WHO Global Dietary Guidelines & Balanced Nutrition Framework
• Lancet Public Health - Carbohydrate Quality & Metabolic Health Studies
• Statista - India Digital Nutrition & Health Behaviour Analysis
• EY-FICCI - AI and Preventive Healthcare Consumer Report

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