Study analysis · npj Metabolic Health and Disease · 2025
Giving up meat and dairy for just 3 weeks doesn't just change your diet—it rewires your blood, spikes a 'longevity hormone,' and lowers your biological death score.
When people stop eating meat, fish, dairy, and eggs for a few weeks, their blood shows big changes—like lower cholesterol and a spike in a hormone linked to longevity—but it all goes back to normal when they start eating animal products again.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
In simple terms
This study is like watching two groups of people and checking their blood at two different times. One group sometimes stops eating meat, fish, dairy, and eggs, and the other group always eats them. The scientists saw that the people who sometimes stop eating these foods had different amounts of certain things in their blood. But because the scientists didn't randomly tell people which diet to follow, they can't say for sure that the diet caused those differences. They can only say the two things are related.
What’s the bottom line?
Researchers studied people in Greece who regularly switch between eating everything and eating no meat, fish, dairy, or eggs for religious periods. They compared their blood to people who always ate animal products.
How strong is this study?
This is a good study because it has lots of people and compares them carefully. It also uses a special trick with genes to guess about cause and effect, which is clever. However, it is not a perfect experiment, so there might be other reasons why the fasting group has different blood results. So we should be careful and not say that fasting definitely makes you healthier, but it's a useful clue.
40 / 100
- COI disclosure+40/40
- Data availabilitydata not shared
- Code availabilitycode not shared
53 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control group+15/15
- Sample size (n=411)+17.4/20
- Follow-up+10/10
100 / 100
54 / 100
- P-values+15/15
- Effect size+20/20
- Confidence intervalsno confidence intervals
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 560 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
This design cannot establish causation — the findings describe an association, not a cause. This is an observational cohort study without randomization. Although the longitudinal design with repeated measures reduces some confounding, the observed associations between dietary restriction and metabolic changes could still be influenced by unmeasured confounders. The Mendelian randomization analyses provide some causal evidence for specific protein-disease relationships, but they do not establish causation for the dietary intervention itself.
No Conflicts
No conflicts of interest identified
No conflicts of interest or funding information disclosed in the provided text.
The provided text lacks author affiliations, funding declarations, and COI statements, limiting full assessment of potential biases.
Key takeaways
- 01
After a few weeks without animal products, 166 out of 248 measured blood molecules changed.
- 02
Cholesterol from LDL and HDL went down, and two amino acids (valine and leucine) dropped by 9% and 5%.
- 03
The hormone FGF21 increased more than any other protein.
- 04
A score that estimates risk of dying dropped from 0.27 to -0.78 in the restricting group, while the always-omnivore group showed no change.
- 05
Yes, the changes point toward lower cholesterol, lower inflammation, and better metabolic health.
- 06
But this study can't prove that periodically avoiding animal products will make people live longer, and the changes disappeared when they went back to eating animal products.
Surprising findings
- Only one metabolite changed in the control group, while 166 changed in the restricting group.You'd expect some seasonal or time-related changes in everyone, but the omnivorous controls stayed almost completely stable, while the restricting group showed a massive shift—proving the changes are truly diet-driven.
- FGF21—a 'pro-longevity hormone'—was the most changed protein of all 1,464 measured, and this was unique to the restricting group.Most people haven't heard of FGF21, yet it jumped more than any other protein linked to aging and metabolism. A dietary change can apparently trump all other protein fluctuations in the blood.
- Higher oxytocin (OXT) levels were causally linked to a higher risk of lacunar stroke—the opposite of what you'd expect from the 'cuddle hormone.'Oxytocin is often viewed as beneficial for social bonding and metabolism, but Mendelian randomization showed it increased stroke risk. This contradicts previous claims about its cardiovascular benefits.
Practical takeaways
Consider trying a 3-4 week period of eliminating animal products (meat, fish, dairy, eggs) to see if your cholesterol and metabolic markers improve—like the participants in this study did during Lent.
This is an observational study; it doesn't prove cause and effect. Also, make sure to plan for nutrients like vitamin B12, calcium, and vitamin D, and consult a healthcare provider if you're on medication.
Medium confidenceIf you're taking medications, be aware that a dietary change could alter the levels of proteins that drugs target, potentially affecting their action. Discuss significant diet changes with your doctor or pharmacist.
This is a novel finding from a single study; the clinical implications for drug dosing are not yet known.
Low confidenceDon't expect permanent benefits from a one-time fast—the changes reversed when participants returned to omnivory. If you want sustained effects, consider cyclical dietary patterns that are sustainable long-term.
The study only followed participants for one fasting period; long-term effects of cyclical fasting are unknown.
Medium confidenceWhy this study matters
Your Blood Does a 180 When You Cut Animal Products
In 200 people who fast from animal products for religious reasons, 166 out of 248 measured metabolites changed during a 3-4 week Lenten period. This included significant drops in LDL- and HDL-related cholesterol, sphingomyelins, and branched-chain amino acids (valine -9%, leucine -5%). A control group of 211 omnivores showed almost no changes—only pyruvate slightly shifted.
This shows that a dietary change doesn't just affect one or two markers—it triggers a massive, coordinated shift across the entire metabolic landscape, even in a relatively short time.
A Mortality Risk Score Dropped Significantly in Just 3 Weeks
A validated 14-metabolite all-cause mortality risk score decreased from 0.27 to -0.78 (p=9.45×10⁻³) in the animal-product-restricting group, while the omnivorous control group showed no significant change. This score is a recognized surrogate for overall health and longevity.
It suggests that short-term dietary restriction can shift biomarkers that are associated with long-term mortality risk—something that usually takes years of lifestyle change to move.
FGF21: The 'Longevity Hormone' That Spikes the Most
Among 1,464 plasma proteins measured, FGF21—a liver-derived hormone linked to energy metabolism and longevity—showed the largest change, and it was unique to the restricting group. Mendelian randomization also suggested a protective causal effect of FGF21 on type 2 diabetes risk.
FGF21 is currently a major target for drug development (e.g., for obesity and NASH). The fact that a simple dietary pattern can naturally boost it more than any other protein is a powerful message.
Your Diet Could Change How Drugs Work
Of the 264 proteins altered by animal product restriction, 62 (23%) are targets for drugs in clinical development, and 28 (11%) are targets for approved drugs. This includes well-known targets like EGFR, which is targeted by 56 different drugs.
This suggests that what you eat could alter the effectiveness or side effects of medications—a largely ignored factor in personalized medicine.
The Benefits Are Real—But They're Not Permanent
When the 200 restricting individuals returned to an omnivorous diet, their metabolomic and proteomic profiles became indistinguishable from the continuously omnivorous controls. The changes are reversible, meaning the benefits require ongoing dietary restriction.
This is both encouraging (you don't have to be perfect forever) and a catch (you have to keep doing it). It also explains why cyclical fasting—like Greek Orthodox fasting—might be a sustainable approach.
Want the whole report?
Detailed mode opens the full scientific breakdown — every score component, the methodology, conflicts of interest, the evidence analysis behind each claim, and the raw study data.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Researchers studied people in Greece who regularly switch between eating everything and eating no meat, fish, dairy, or eggs for religious periods. They compared their blood to people who always ate animal products.
Research results
After a few weeks without animal products, 166 out of 248 measured blood molecules changed. Cholesterol from LDL and HDL went down, and two amino acids (valine and leucine) dropped by 9% and 5%. The hormone FGF21 increased more than any other protein. A score that estimates risk of dying dropped from 0.27 to -0.78 in the restricting group, while the always-omnivore group showed no change.
What this means - more context
Yes, the changes point toward lower cholesterol, lower inflammation, and better metabolic health. But this study can't prove that periodically avoiding animal products will make people live longer, and the changes disappeared when they went back to eating animal products.
To compare plasma metabolomic and proteomic profiles between a unique group of Greek adults who periodically restrict animal products for religious reasons and continuously omnivorous controls, and to explore effects of these molecular changes on cardiometabolic health.
In 200 periodically restricting adults, 166 of 248 measured metabolites and 264 of 1,464 plasma proteins changed during a Lenten restriction period, including reductions in LDL- and HDL-related lipids, sphingomyelins, and branched-chain amino acids (valine -9%, leucine -5%), plus a large increase in FGF21. A validated 14-metabolite all-cause mortality risk score decreased significantly (0.27 to -0.78, p=9.45e-3), while non-restricting controls showed almost no changes. Mendelian randomization suggested protective causal effects of FGF21 and HAVCR1 on type 2 diabetes risk, HPGDS on lower BMI, and an adverse effect of OXT on lacunar stroke risk. Molecular profiles returned to omnivorous patterns when restriction ended.
Methods Used
Prospective observational cohort (FastBio) of 411 Greek adults (200 periodically restricted; 211 continuously omnivorous controls) with plasma metabolomics (NMR, 248 metabolites) and proteomics (Olink, 1,464 proteins) at two timepoints: autumn omnivory and early spring after 3-4 weeks of Lenten restriction. Mendelian randomization used UK Biobank cis-pQTLs and publicly available GWAS summary statistics for cardiometabolic traits.
Main Finding
Periodic restriction of animal products induced rapid, extensive, and reversible metabolic reprogramming consistent with improved metabolic health: reduced atherogenic lipids and BCAAs, increased FGF21, and a significant improvement in a validated metabolite mortality-risk score; MR analyses suggested potentially causal protective effects of FGF21 and HAVCR1 on type 2 diabetes and of HPGDS on BMI, with OXT causally increasing lacunar stroke risk.
Confidence Level
Moderate. Strengths include paired within-person comparisons, a control group, and Mendelian randomization for causal protein-trait inference; limitations include lack of randomization, no dietary intake data, possible residual confounding, and only two timepoints.
Study Flags
Red Flags
- •No randomization; participants were self-selected based on long-standing dietary habits
- •No dietary intake data were collected
- •Short follow-up with only two timepoints; observed changes may be transient or partly seasonal
Surprising Findings
Only one metabolite changed in the control group, while 166 changed in the restricting group.
You'd expect some seasonal or time-related changes in everyone, but the omnivorous controls stayed almost completely stable, while the restricting group showed a massive shift—proving the changes are truly diet-driven.
Practical Takeaways
Consider trying a 3-4 week period of eliminating animal products (meat, fish, dairy, eggs) to see if your cholesterol and metabolic markers improve—like the participants in this study did during Lent.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 560 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
Human Cohort Study
Subject
Moderate probability
on the GRADE evidence scale
This study is like watching two groups of people and checking their blood at two different times. One group sometimes stops eating meat, fish, dairy, and eggs, and the other group always eats them. The scientists saw that the people who sometimes stop eating these foods had different amounts of certain things in their blood. But because the scientists didn't randomly tell people which diet to follow, they can't say for sure that the diet caused those differences. They can only say the two things are related.
The study has a COI section but no disclosure was found. A small penalty has been applied.
Strengths
- Longitudinal design with repeated measures within individuals, reducing confounding by stable personal characteristics.
- Inclusion of a control group (continuously omnivorous) to account for seasonal and temporal changes.
- Objective high-throughput metabolomics and proteomics with extensive QC and sensitivity analyses.
Weaknesses
- Observational design without randomization; residual confounding is possible despite adjustments.
- No actual dietary intake data; reliance on adherence to religious fasting rules.
- Baseline differences between groups (age, BMI, smoking) may not be fully controlled.
Methodology
Evidence Keywords
Statistical Reporting
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Researchers studied people in Greece who regularly switch between eating everything and eating no meat, fish, dairy, or eggs for religious periods. They compared their blood to people who always ate animal products.
Research results
After a few weeks without animal products, 166 out of 248 measured blood molecules changed. Cholesterol from LDL and HDL went down, and two amino acids (valine and leucine) dropped by 9% and 5%. The hormone FGF21 increased more than any other protein. A score that estimates risk of dying dropped from 0.27 to -0.78 in the restricting group, while the always-omnivore group showed no change.
What this means - more context
Yes, the changes point toward lower cholesterol, lower inflammation, and better metabolic health. But this study can't prove that periodically avoiding animal products will make people live longer, and the changes disappeared when they went back to eating animal products.
To compare plasma metabolomic and proteomic profiles between a unique group of Greek adults who periodically restrict animal products for religious reasons and continuously omnivorous controls, and to explore effects of these molecular changes on cardiometabolic health.
In 200 periodically restricting adults, 166 of 248 measured metabolites and 264 of 1,464 plasma proteins changed during a Lenten restriction period, including reductions in LDL- and HDL-related lipids, sphingomyelins, and branched-chain amino acids (valine -9%, leucine -5%), plus a large increase in FGF21. A validated 14-metabolite all-cause mortality risk score decreased significantly (0.27 to -0.78, p=9.45e-3), while non-restricting controls showed almost no changes. Mendelian randomization suggested protective causal effects of FGF21 and HAVCR1 on type 2 diabetes risk, HPGDS on lower BMI, and an adverse effect of OXT on lacunar stroke risk. Molecular profiles returned to omnivorous patterns when restriction ended.
Methods Used
Prospective observational cohort (FastBio) of 411 Greek adults (200 periodically restricted; 211 continuously omnivorous controls) with plasma metabolomics (NMR, 248 metabolites) and proteomics (Olink, 1,464 proteins) at two timepoints: autumn omnivory and early spring after 3-4 weeks of Lenten restriction. Mendelian randomization used UK Biobank cis-pQTLs and publicly available GWAS summary statistics for cardiometabolic traits.
Main Finding
Periodic restriction of animal products induced rapid, extensive, and reversible metabolic reprogramming consistent with improved metabolic health: reduced atherogenic lipids and BCAAs, increased FGF21, and a significant improvement in a validated metabolite mortality-risk score; MR analyses suggested potentially causal protective effects of FGF21 and HAVCR1 on type 2 diabetes and of HPGDS on BMI, with OXT causally increasing lacunar stroke risk.
Confidence Level
Moderate. Strengths include paired within-person comparisons, a control group, and Mendelian randomization for causal protein-trait inference; limitations include lack of randomization, no dietary intake data, possible residual confounding, and only two timepoints.
Study Flags
Red Flags
- •No randomization; participants were self-selected based on long-standing dietary habits
- •No dietary intake data were collected
- •Short follow-up with only two timepoints; observed changes may be transient or partly seasonal
Surprising Findings
Only one metabolite changed in the control group, while 166 changed in the restricting group.
You'd expect some seasonal or time-related changes in everyone, but the omnivorous controls stayed almost completely stable, while the restricting group showed a massive shift—proving the changes are truly diet-driven.
Practical Takeaways
Consider trying a 3-4 week period of eliminating animal products (meat, fish, dairy, eggs) to see if your cholesterol and metabolic markers improve—like the participants in this study did during Lent.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 560 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
Human Cohort Study
Subject
Moderate probability
on the GRADE evidence scale
This study is like watching two groups of people and checking their blood at two different times. One group sometimes stops eating meat, fish, dairy, and eggs, and the other group always eats them. The scientists saw that the people who sometimes stop eating these foods had different amounts of certain things in their blood. But because the scientists didn't randomly tell people which diet to follow, they can't say for sure that the diet caused those differences. They can only say the two things are related.
The study has a COI section but no disclosure was found. A small penalty has been applied.
Strengths
- Longitudinal design with repeated measures within individuals, reducing confounding by stable personal characteristics.
- Inclusion of a control group (continuously omnivorous) to account for seasonal and temporal changes.
- Objective high-throughput metabolomics and proteomics with extensive QC and sensitivity analyses.
Weaknesses
- Observational design without randomization; residual confounding is possible despite adjustments.
- No actual dietary intake data; reliance on adherence to religious fasting rules.
- Baseline differences between groups (age, BMI, smoking) may not be fully controlled.
Methodology
Evidence Keywords
Statistical Reporting
Scoring
How strong is this study?
This is a good study because it has lots of people and compares them carefully. It also uses a special trick with genes to guess about cause and effect, which is clever. However, it is not a perfect experiment, so there might be other reasons why the fasting group has different blood results. So we should be careful and not say that fasting definitely makes you healthier, but it's a useful clue.
40 / 100
- COI disclosure+40/40
- Data availabilitydata not shared
- Code availabilitycode not shared
53 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control group+15/15
- Sample size (n=411)+17.4/20
- Follow-up+10/10
100 / 100
54 / 100
- P-values+15/15
- Effect size+20/20
- Confidence intervalsno confidence intervals
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 560 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
This design cannot establish causation — the findings describe an association, not a cause. This is an observational cohort study without randomization. Although the longitudinal design with repeated measures reduces some confounding, the observed associations between dietary restriction and metabolic changes could still be influenced by unmeasured confounders. The Mendelian randomization analyses provide some causal evidence for specific protein-disease relationships, but they do not establish causation for the dietary intervention itself.
No Conflicts
No conflicts of interest identified
No conflicts of interest or funding information disclosed in the provided text.
The provided text lacks author affiliations, funding declarations, and COI statements, limiting full assessment of potential biases.