weight & body fat
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CNR1

The Link Between Cannabinoid System & Weight Gain (CNR1)

Written by Aleksa Ristic, MS (Pharmacy) on July 11th, 2020
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Did you know that cannabinoids can affect weight gain? The CB1 receptor and the gene behind it are crucial for this link—read on to learn the details and check your variants!

Cannabinoid System and CNR1

Everyone’s heard of cannabis, but we still have a lot to learn about the cannabinoid system—a common name for complex pathways in our bodies, activated by internal and external cannabinoids.

The CNR1 gene encodes the type-1 cannabinoid receptor (CB1), one of the primary receptors responsible for stimulating the cannabinoid system, especially in the brain [R, R].

It’s deeply involved in a myriad of processes, including [R, R, R, R, R]:

Given its complex roles in the mind & body, impairments in the CB1 receptor function can contribute to fatigue, mood & mental health issues, “brain fog,” metabolic disorders, and more [R, R, R].

To date, genetic research of the cannabinoid system has mostly focused on cognition and mental health. However, emerging evidence points to the roles in weight control and glucose metabolism [R, R].

The CNR1 gene encodes the type-1 cannabinoid receptor (CB1). It’s a critical part of the cannabinoid system, involved in cognition, mental health, metabolism, inflammation, and more.

CB1 Receptor in Obesity & Metabolism

Cannabinoids control food intake and metabolism via the CB1 receptors in the brain, but also the liver, fat tissue, and pancreas [R, R]. Their activation in the brain enhances appetite and the rewarding effects of food [R, R].

Mice lacking the CB1 receptor are lean, even on a high-fat diet. They are not prone to overeating and have enhanced fat-burning potential [R]. Inhibition of the CB1 receptor causes weight loss and improves insulin sensitivity in humans and animals [R, R].

On the other hand, overactive cannabinoid system can result in [R, R, R]:

  • Excess fat storage
  • Overeating
  • Impaired glucose & fat metabolism

This makes sense given that most people have increased appetite from smoking marijuana, popularly called “the munchies”. Some marijuana users experience weight gain, but, surprisingly, large studies have observed the opposite effect in a general population [R, R].

The cannabinoid system controls food intake and metabolism via the CB1 receptor. The excess activity can increase appetite, slow down metabolism, and contribute to weight gain. 

 

The Link Between CNR1 Variants and Obesity

Rs1049353 (1359G/A)

The most studied SNP in this gene is rs1049353 or 1359G/A. Plenty of studies have examined its link with weight and obesity, but they yielded mixed results.

According to a large meta-analysis, the “T” allele is associated with a lower body mass index (BMI), while it doesn’t seem to impact energy or macronutrient intake [R].

The same allele correlates with gut inflammation and IBD severity, which indicates a potential link with lectin sensitivity. This SNP might also impact:

  • Psychological stress [R]
  • Response to antidepressants [R]
  • Addictive and eating disorders [R, R, R]

People with the ‘T’ variant may be protected against obesity, but they are more prone to anxiety and digestive issues.

Note: “1359G/A” marks the alleles on a negative (-) DNA strand. We always report on a positive strand, where “G/A” becomes “C/T.”

The “T” allele at rs1049353 is associated with a lower BMI. This SNP may also be involved in gut inflammation, stress response, and mental disorders.

Other Variants

A group of authors analyzed the link between CNR1 variants and obesity in three groups of total 5,750 European subjects. According to their results [R]:

  • The “G” allele at rs6454674 correlates with 52% higher odds of obesity in children.
  • The “T” allele at rs2023239 correlates with 40% higher odds of obesity in adults.

In a study of 1,452 Japanese subjects, men with the “CC” genotype at rs806368 had 70% higher obesity rates [R]. This variant was associated with a higher waist-hip ratio among 756 Brazilian adults [R].

Three less-known SNPs in the CNR1 gene may correlate with obesity in different populations.

How It Works

The primary SNP, rs1049353, doesn’t change the CB1 receptor structure, but it may impair gene expression and receptor activity [R, R].

As discussed, lower activity of the cannabinoid system can prevent weight gain and speed up metabolism. On the other hand, it can have detrimental effects on mental health and inflammation [R, R, R, R].

Food Intake

Cannabinoids increase appetite and the rewarding effects of food. Discussed variants showed a correlation with impulsive behavior and eating disorders, so they likely influence food intake and appetite [R, R].

In one trial, people with rs1049353-T ate significantly less saturated fat and cholesterol [R]. However, other studies found no difference in energy and nutrient intake [R].

Fat Metabolism

Animal and clinical studies suggest that cannabinoids (via CB1) impair fat burning and reduce adiponectin levels [R, R]. In a 305 subjects trial, those with rs1049353-T had higher adiponectin, compared with the “C” allele carriers [R].

Adiponectin is a fat-derived hormone that enhances fat burning and insulin sensitivity and prevents weight gain [R].

CNR1 variants may change CB1 receptors’ activity and thus impact appetite, food preference, and fat metabolism.

Limitations

For rs1049353, some studies observed the opposite effect: increased weight gain and obesity rates among the “T” allele carriers [R, R]. According to one review, 90% of all studies failed to establish any correlation between this SNP and obesity [R].

Some papers found no significant effects of CNR1 SNPs on weight, altogether [R, R, R].

Drug Research

The pharmaceutical industry has been trying to leverage the effects of the cannabinoid system on weight loss. In early clinical trials, CB1 inhibitor, rimonabant, showed beneficial effects on weight, waist circumference, blood lipids, and glucose metabolism [R, R].

Rimonabant was approved for obesity treatment in Europe (2006) and Brazil (2007). However, health authorities withdrew it in 2008 due to severe psychiatric adverse effects, including suicide [R, R].

Your CNR1 Results for Obesity

SNP Table

 

SNP Summary

Primary SNPs:

CNR1 rs1049353

  • ‘C’ = not associated with weight or obesity
  • ‘T’ = associated with a lower BMI

Population Frequency: Around 45% of European descendants carry the “T” allele. It’s less common in other populations, ranging from 31% in South Asians to 6% in Africans.

CNR1 rs6454674

  • ‘T’ = not associated with obesity 
  • ‘G’ = associated with higher obesity rates, especially in children

Population Frequency: Around 40-42% of people carry one copy and 8-14% carry both copies of the “G” allele across all populations.

CNR1 rs2023239

  • ‘C’ = not associated with obesity 
  • ‘T’ = associated with higher obesity rates

Population Frequency: Around 71% of Europeans, 42% of Africans, and 95% of East Asians carry both copies of the “T” allele.

Other Important SNPs:

CNR1 rs806368

  • ‘T’ = not associated with obesity
  • ‘C’ = associated with higher obesity rates in Japanese men

Population Frequency: Around 4% of Europeans carry the obesity-associated “CC” genotype. It’s much more common in East Asians (26%) and nearly non-existent in Africans.

 

 

Recommendations

Lifestyle

Regular Exercise

Exercise may balance the effect of your variants. It increased adiponectin in a meta-analysis of seven trials and 250 obese children [R].

Resistance and aerobic training are both fantastic approaches to weight loss. In addition to fat-burning, they improve mood, cognition, and overall health [R, R].

Circadian Rhythm

Research over the past few decades has recognized the importance of circadian biology in obesity, energy balance, and metabolism [R]. This is particularly relevant to people with CNR1 variants, as excess cannabinoid activity may impair circadian rhythm [R].

A disrupted circadian rhythm may be why shift workers seem to be at an increased risk of obesity [R].

Exercise regularly and fix your circadian rhythm to counteract your variants and shed extra pounds.

Diet

Limit Saturated Fat & Omega-6

People with rs1049353-T tend to eat less saturated fat (SF) and cholesterol [R]. In clinical and animal studies, increased intake of saturated fat correlated with lower adiponectin levels [R, R].

A high omega-6/omega-3 ratio may also worsen your genetic effect by over-stimulating the CB1 receptor and contribute to obesity [R, R].

Swapping SF for omega-3s can improve your weight control [R]. According to a study of over 2,900 subjects, those genetically predisposed to obesity may benefit from limiting their SF intake [R].

Make sure to avoid unhealthy, processed sources of saturated fat such as pastry and sweets and refined vegetable oils rich in omega-6s. Swap them for omega-3 sources such as fish, walnuts, flaxseed, and hemp seeds.

Partly replace saturated and omega-6 fats with omega-3s to lessen the impact of your variant and prevent weight gain.

Olive Oil

Healthy sources of unsaturated fatty acids are a great replacement for saturated fat. Olive oil may be particularly beneficial for people with CNR1 variants due to its ability to boost adiponectin [R].

In a review of 11 clinical studies, olive oil-enriched diet significantly reduced BMI and waist circumference. Unlike oil in its natural form, supplementation with capsules was not effective [R].

Coffee or Tea

CB1 activity stimulates adenosine receptors and drops cAMP levels. Caffeine can partly reverse this by blocking adenosine receptors [R, R]. Coffee & tea consumption is associated with higher adiponectin levels [R].

In a 2019 meta-analysis of 12 studies, coffee consumption slightly reduced weight and waist circumference, especially in men [R]. Green tea has also shown moderate benefits for weight loss, but the evidence is inconclusive [R, R].

Caffeine (100-600 mg/day) increased energy use and fat burning in many smaller clinical trials. Paradoxically, the effects were more pronounced in lean than in overweight people. It also helped maintain weight loss in two long-term studies with 2,500 participants [R, R, R, R, R, R].

Remember that excess caffeine can cause adverse effects such as insomnia, anxiety, increased heart rate and blood pressure, and muscle twitching [R].

Olive oil, coffee & tea may counteract your CNR1 gene and enhance fat burning.

Supplements

Probiotics

In a trial of 30 diabetes patients, a multi-strain probiotic supplement boosted adiponectin levels by 72% [R]. In mice, probiotics increased adiponectin expression in fat tissue [R, R].

According to a meta-analysis of 15 clinical trials, probiotic supplementation significantly improved weight loss [R]. However, a smaller review found no significant benefits, so the research is inconclusive [R].

Read this post to learn more about the effects of probiotics on weight loss.

Garcinia

The active compound from Garcinia cambogia, hydroxycitric acid, can boost adiponectin levels and fat burning [R].

In multiple clinical trials, Garcinia reduced weight and body fat [R, R, R, R]. A review of 12 studies found that, on average, supplementation with Garcinia was associated with weight loss of about 2 pounds (0.88 kg) over several weeks [R].

Probiotics and Garcinia may lessen the impact of your SNPs and support weight loss.

Author photo
Aleksa Ristic
MS (Pharmacy)

Aleksa received his MS in Pharmacy from the University of Belgrade, his master thesis focusing on protein sources in plant-based diets.  

Aleksa is passionate about herbal pharmacy, nutrition, and functional medicine. He found a way to merge his two biggest passions—writing and health—and use them for noble purposes. His mission is to bridge the gap between science and everyday life, helping readers improve their health and feel better.

Disclaimer

The information on this website has not been evaluated by the Food & Drug Administration or any other official medical body. This information is presented for educational purposes only, and may not be used to diagnose or treat any illness or disease.

Also keep in mind that the “Risk Score” presented in this post is based only on a select number of SNPs, and therefore only represents a small portion of your total risk as an individual. Furthermore, these analyses are based primarily on associational studies, which do not necessarily imply causation. Finally, many other (non-genetic) factors can also play a significant role in the development of a disease or health condition — therefore, carrying any of the risk-associated genotypes discussed in this post does not necessarily mean you are at increased risk of developing a major health condition.

Always consult your doctor before acting on any information or recommendations discussed in this post — especially if you are pregnant, nursing, taking medication, or have been officially diagnosed with a medical condition.

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