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The Animal-Based Diet: What It Is and What the Research Shows

REVIEWED BY
William Maish, MD MBA MPH
Clinical Product Lead
Published
Last updated
June 7, 2026
Key takeaway:

The animal-based diet centers on meat, organs, eggs, dairy, fruit, and honey while excluding grains, legumes, and most vegetables. Short-term metabolic benefits are modest and drawn from paleo-adjacent RCTs, not direct trials. Animal-heavy patterns reliably raise LDL-C and apoB. Contraindicated for those with eating disorder history, familial hypercholesterolemia, pregnancy, or active dyslipidemia without clinical monitoring.

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Table of contents

Where the Animal-Based Diet Sits Between Carnivore and Paleo

If you have seen animal-based, carnivore, and paleo used interchangeably, here is where this pattern actually sits, and how it differs from its neighbors.

The animal-based diet centers on meat, organs, eggs, dairy, fish, raw honey, and fruit. Most other plant foods are de-emphasized or removed entirely. It sits between strict carnivore (no plants whatsoever) and paleo (plants included, grains and legumes excluded). It is an ongoing dietary pattern, not a defined elimination window.

The term was popularized primarily by physician and author Paul Saladino in the late 2010s. It draws on an "ancestral" framework while relaxing the strictest carnivore rules to allow fruit and honey. Paleolithic-pattern diets have a modest RCT evidence base for short-term metabolic markers, and hunter-gatherer eating patterns were higher in protein and PUFAs than modern Western diets. "Animal-based" is an influencer-driven term, however. Direct RCT evidence for the specific Saladino-style pattern is absent. It is commonly confused with strict carnivore (which excludes all plant foods) and with paleo (which includes a broader range of vegetables and tubers).

Proponents of the animal-based pattern associate it with four outcomes:

  • Improved energy and more stable blood sugar, attributed to the removal of refined carbohydrates and ultra-processed foods.
  • Fat loss and body-composition changes driven by the elimination of refined carbohydrate and the high satiety of protein-dense meals.
  • High micronutrient density from organ meats: organ meats, eggs, and small fish rank among the most micronutrient-dense foods across food categories.
  • Reduced "antinutrient" exposure from the de-emphasis of grains, legumes, and certain plant foods thought to interfere with mineral absorption.

Patterns That Lead People to Saladino's Framework

Several patterns might warrant exploring this protocol under clinical guidance, not as a self-diagnosis, but as a starting point for a structured, monitored trial.

  • Persistent low energy and post-meal blood-sugar swings on a standard Western dietary pattern.
  • Suspected food-sensitivity reactivity that hasn't been localized to a single food group.
  • Body-composition or weight-loss focus after multiple unsuccessful conventional dietary attempts.
  • Genuine interest in ancestral or Paleolithic-eating frameworks broadly.

This pattern is not the right starting point for someone with a history of eating disorder, pregnancy or nursing without obstetric and dietetic sign-off, an active medication regimen for lipids or blood pressure, no baseline labs in the last 12 months, or a diagnosis of familial hypercholesterolemia. For any of these, the right next step is a clinician, not a food list.

Before you eliminate anything: take a measured baseline. For an animal-based pattern, the load-bearing panel is lipid trajectory plus fat-soluble vitamin and micronutrient status. The minimum useful baseline includes a lipid panel with ApoB, ferritin, vitamin A (if heavy organ-meat intake is planned), and hs-CRP. These four markers are the ones most likely to move, in either direction, within the first 8 to 12 weeks.

The Mechanism: Protein, Fat, and a Very Low Plant Load

Switching to an animal-based pattern raises protein intake sharply, removes most dietary fiber, and delivers high saturated fat. The short-term metabolic effects on satiety and glucose are largely favorable; the lipid trajectory in some individuals is not.

The animal-based pattern delivers high protein, high saturated fat, and very low dietary fiber. Carbohydrate intake is low but not absent. Fruit and raw honey supply glucose, which keeps most adherents out of sustained nutritional ketosis. The metabolic state approximates a low-carb pattern rather than a strict ketogenic one.

High dietary protein increases satiety signaling through peptide YY and GLP-1 pathways. Removing refined carbohydrate reduces postprandial glucose excursions. These two mechanisms together explain most of the short-term energy and body-composition reports from adherents.

A systematic review of four RCTs (159 participants) found Paleolithic-pattern diets produced greater short-term improvements in waist circumference, triglycerides, BP, HDL, and fasting glucose compared to control diets. That is the strongest proximate evidence base for the animal-based framework, and it is modest in scale.

The trade-off is on the lipid side. An RCT found LDL-C and apoB were higher with red and white meat than with non-meat protein, independent of saturated fat content. That finding is mechanistically important: the lipid signal is not explained by saturated fat alone.

A second directional concern involves gut-derived metabolites. Long-term Paleolithic eating was associated with shifted gut microbiota and increased serum TMAO versus control diets. TMAO is produced when gut bacteria metabolize choline and carnitine from animal foods, and elevated TMAO has been associated with long-term mortality risk in large cohorts.

What's Allowed on the Animal-Based Diet

If you are mapping a meal plan, the foods below form the core. Individual tolerance and your own biomarker response should still guide how any specific food is weighted.

The foods below form the core of the animal-based pattern, though individual tolerance and biomarker response should guide how any specific food is weighted.

  • Muscle meats. Beef, lamb, bison, pork, poultry. Grass-finished where budget allows; pasture-raised for poultry.
  • Organ meats. Liver (chicken, beef, lamb), heart, kidney. High micronutrient density per a 2022 analysis. Limit to roughly 1 to 2 servings per week if vitamin A is the load-bearing concern.
  • Eggs. Whole eggs; pastured where available. Yolks contribute choline and fat-soluble vitamins.
  • Fish and seafood. Wild-caught preferred; small oily fish (sardines, anchovies, mackerel) for omega-3 density. Limit oily fish liver consumption given hypervitaminosis A risk.
  • Dairy (if tolerated). Full-fat dairy; raw or unpasteurized only where state-legal and personally chosen.
  • Fruit. Berries, citrus, melons, tropical fruit. Most fruit is categorically allowed within this framework.
  • Raw honey. Limited quantities as a carbohydrate source.
  • Salt, animal fats, butter, ghee. Primary cooking fats and seasoning.

Foods to Avoid or De-Emphasize

The exclusion logic centers on the "antinutrient" framing common to paleo and animal-based protocols: grains, legumes, most processed seed oils, and many plant foods are removed on the theory that their compounds interfere with mineral absorption or trigger immune reactivity.

The exclusion logic centers on the "antinutrient" framing common to paleo and animal-based protocols. The idea that certain plant compounds interfere with mineral absorption or trigger immune reactivity.

  • Grains. Wheat, oats, rice, corn, and all derivatives. Excluded under the antinutrient framing shared with paleo protocols.
  • Legumes. Beans, lentils, peanuts, soy. Excluded under the same framing.
  • Seed oils. Canola, soybean, sunflower, safflower, corn, cottonseed. Excluded on inflammatory and processing grounds.
  • Most vegetables. Particularly leafy greens, cruciferous vegetables, and nightshades. De-emphasized rather than strictly excluded in most versions of the pattern.
  • Nuts and seeds. De-emphasized on antinutrient and polyunsaturated fat framing.
  • Refined sugar and ultra-processed food. Excluded categorically across all versions of the pattern.

Grading the Animal-Based Claims

The proponent claims — improved energy, fat loss, micronutrient density, reduced antinutrient exposure — each have varying levels of trial support. The evidence on energy and body composition is modest but directionally consistent; the lipid and gut-microbiome data is where the pattern's trade-offs become concrete.

The claims behind the animal-based diet cover short-term metabolic markers, LDL-C and apoB changes versus plant-protein patterns, organ-meat micronutrient density, and TMAO-related cardiovascular risk.

Improved short-term metabolic markers: Moderate

A 2015 systematic review of four RCTs showed Paleolithic-pattern diets produced greater short-term improvements in waist circumference, triglycerides, BP, HDL, and fasting glucose versus control diets. A large self-report carnivore cohort (n=2,029) reported reduced BMI and diabetes-medication discontinuation, though selection bias limits interpretation. Importantly, a separate meta-analysis found the Paleolithic diet did not differ from healthy comparators on glucose and insulin homeostasis, and direct animal-based RCT evidence is absent entirely.

Higher LDL-C and apoB compared to plant-protein patterns: Strong

An RCT found LDL-C and apoB were higher with red and white meat than with non-meat protein, independent of saturated fat. That is the foundational trade-off finding for this pattern. A meta-analysis of randomized trials confirmed vegetarian and vegan diets significantly reduce total cholesterol, LDL-C, and apoB versus omnivorous controls. Plant-based diets are consistently associated with lower plasma lipids across multiple meta-analyses. Animal-heavy protocols reliably elevate atherogenic lipid markers relative to plant-protein-based patterns. This is the primary reason the monitoring panel is non-negotiable.

Micronutrient density from organ meats: Moderate

An analysis of priority micronutrient density across food categories identified organ meats, eggs, and small fish as among the most micronutrient-dense foods. The antinutrient-avoidance framing supports a plausible but contested narrative around absorption efficiency. The limit is real: dose-related liver toxicity from vitamin A has been documented at intakes achievable through regular organ-meat consumption, and case reports of hypervitaminosis A from fish-liver ingestion confirm the risk is not theoretical. Organ meats are genuinely micronutrient-dense; dose discipline is the operative variable.

Reduced TMAO and cardiovascular risk: Anecdotal

The documented signal runs in the opposite direction from the marketing claim. Long-term Paleolithic eating was associated with increased serum TMAO concentrations compared to control diets. TMAO elevation is associated with long-term mortality risk in large cohorts. The claim that the animal-based pattern is cardioprotective is unsupported by direct evidence, and the available proximate evidence points the other way.

A Sample 3-Day Animal-Based Plate

Each day of the pattern centers on ruminant meats, eggs, and dairy across three meals, with tolerance-based substitutions noted under each.

Day 1

Breakfast. 3 pasture-raised eggs scrambled in butter, small bowl of mixed berries. Prep: 10 minutes. Substitutions: duck eggs for chicken eggs; blueberries for mixed berries.

Lunch. Grass-fed ribeye (6–8 oz), grilled with salt and butter, side of sliced melon. Prep: 15 minutes. Substitutions: ground beef patties for ribeye; watermelon for melon.

Dinner. Wild-caught salmon fillet, pan-seared in ghee, with a small drizzle of raw honey. Prep: 20 minutes. Substitutions: mackerel or sardines for salmon; omit honey if carbohydrate is being minimized.

Day 2

Breakfast. Beef liver (2–3 oz, once this week for organ-meat exposure) sautéed in butter with a side of sliced orange. Prep: 15 minutes. Substitutions: chicken liver for beef liver; grapefruit for orange. Note: limit liver to this single serving across the 3-day plan.

Lunch. Ground lamb patties (6 oz) cooked in tallow, side of fresh pineapple chunks. Prep: 15 minutes. Substitutions: ground beef for lamb; mango for pineapple.

Dinner. Slow-cooked beef short ribs, seasoned with salt. Side of full-fat yogurt (if dairy is tolerated). Prep: 20 minutes active, 3–4 hours passive. Substitutions: pork ribs for beef; omit dairy if intolerant.

Day 3

Breakfast. 4 whole eggs fried in butter, side of sliced mango with a small drizzle of raw honey. Prep: 10 minutes. Substitutions: ghee for butter; papaya for mango.

Lunch. Grilled chicken thighs (skin-on, bone-in), side of fresh strawberries. Prep: 25 minutes. Substitutions: turkey thighs for chicken; raspberries for strawberries.

Dinner. Grass-fed New York strip (6–8 oz), pan-seared in butter, with a side of raw cheese (if dairy is tolerated). Prep: 15 minutes. Substitutions: bison strip for beef; omit cheese if dairy is excluded.

Starting an Animal-Based Trial Without Wrecking Your Lipids

An 8-12 week trial is enough time for the lipid trajectory to surface. The protocol runs a baseline panel before changing anything, tracks adherence and symptoms weekly, and uses a mandatory re-test at week 8 to decide whether to continue, modify, or stop.

  1. Set your baseline. Order the full panel before changing anything: lipid panel with ApoB, hsCRP, ferritin, B12, fasting glucose plus HbA1c, vitamin D, and vitamin A if heavy organ-meat intake is planned. Start a 7-day symptom log tracking sleep quality, GI function, energy, mood, and training performance.
  2. Run an 8-week trial. The animal-based pattern is ongoing by design, but the 8-week mark gives the lipid trajectory enough time to surface. Treat the first 8 weeks as the primary experimental window.
  3. Track daily, review weekly. Use adherence checkboxes, one subjective daily rating, and one wearable metric (heart rate variability or sleep score). Watch for protocol-specific red flags: rapid unintended weight change, persistent fatigue, worsening constipation, or new joint pain (a gout flag if uric acid wasn't captured at baseline).
  4. Decide at week 8: continue, modify, or discontinue. Re-test the full panel. Review ApoB and LDL-C first, then inflammation markers, then micronutrients. The decision depends on the direction and magnitude of change, not on whether the food rules were followed perfectly.
  5. Re-test at week 12 if continuing. Use the same lab, same morning fasting protocol, same markers as Day 0. HbA1c becomes interpretable here. It reflects a rolling 3-month glucose average. Compare to baseline and decide to continue, modify, or discontinue based on objective signal and symptom log together.

Where Animal-Based Eating Goes Wrong

The first 12 weeks of an animal-based trial have four predictable failure modes: skipping baseline labs, ignoring a rising lipid trajectory, over-emphasizing organ meats without capping frequency, and underestimating the fiber gap.

Going strict before establishing a baseline. Without baseline lipid and inflammation labs, there is no way to interpret the response. A rising ApoB looks the same as a stable one if there is no starting point. Get the full panel before switching dietary patterns.

Ignoring the lipid trajectory. Animal-heavy diets reliably raise LDL-C and apoB in some phenotypes, including the lean-mass-hyper-responder pattern. Re-test at weeks 8 and 12; if ApoB rises sharply and cardiovascular risk factors are present, modify or discontinue.

Over-emphasizing organ meats. If you plan to include organ meats, discuss the cadence with your clinician or registered dietitian; the commonly suggested ceiling is roughly 1 to 2 servings per week, and a vitamin A baseline is appropriate if intake will be heavy. Hypervitaminosis A from heavy daily organ-meat or fish-liver intake is a documented clinical risk, not theoretical.

Ignoring the fiber gap. Very-low-fiber patterns are associated with reduced stool frequency and gut transit, and long-term low-fiber animal-heavy eating shifts gut microbiota composition unfavorably. Preserving fruit intake within the pattern and keeping a structured stool-pattern log helps surface this early.

Treating the diet as permanent rather than as a measured experiment. Restrictive patterns tend to produce more useful information when run as time-bounded windows with defined re-test points than when adopted as fixed identities. Set a re-test schedule upfront and let the biomarker data drive the continue, modify, or discontinue decision.

Tracking the wrong signal. Weight on the scale is not the primary signal for an animal-based pattern. It is downstream and informative but not load-bearing. ApoB, LDL-C, hsCRP, and the symptom log are the markers that tell the actual story.

The Markers That Tell You Whether the Pattern Is Working: Or Backfiring

How you feel on an animal-heavy diet is useful data. It is not sufficient data. A comparable Day 0 and Day N panel is what makes the experiment interpretable.

  • Lipid panel with ApoB: ApoB tracks atherogenic particle count directly. Animal-heavy patterns may shift ApoB upward sharply in certain phenotypes. That trajectory is the primary signal this experiment is designed to capture.
  • hsCRP: High-sensitivity C-reactive protein tracks systemic inflammation and adds context to the metabolic trade-off picture beyond lipids alone.
  • Ferritin: High red-meat intake commonly raises ferritin; tracking iron stores helps avoid silent iron overload over time.
  • B12: Typically elevated on animal-heavy patterns; informative as a substrate marker and useful for ruling out deficiency if the pattern is later modified.
  • Fasting glucose + HbA1c: The metabolic-improvement story tracks here; HbA1c reflects a rolling 3-month glucose average and becomes fully interpretable at the week-12 re-test.
  • Vitamin D: An independent baseline check; not pattern-specific but frequently suboptimal and worth capturing at Day 0.
  • Vitamin A: Required if heavy organ-meat or fish-liver intake is planned. Dose-related liver toxicity from vitamin A is achievable through dietary intake alone, and real-world hypervitaminosis A cases from fish liver ingestion are documented.

Re-test cadence: Week 8 is the mid-protocol decision point. Review lipid trajectory, hsCRP, and ferritin. Week 12 is the continue-or-discontinue decision. HbA1c is interpretable here and reflects the full experimental window. Adjust cadence based on individual cardiovascular risk and symptom signal.

If the markers move in the direction the mechanism predicts, the pattern did something measurable. If they don't, that's information too. The biomarker is the verdict.

The Honest Risk Inventory

If you adopt this pattern without monitoring, two risks stand out: a rising lipid trajectory and hypervitaminosis A from heavy organ-meat or fish-liver intake. Both are monitorable. Neither is catastrophic if tracked.

The two primary risks on this pattern are a rising lipid trajectory without monitoring and hypervitaminosis A from heavy organ-meat or fish-liver intake. Both are real, both are monitorable, and neither is catastrophic if tracked from the start.

The nutrient gaps are real but less severe than on strict carnivore, because fruit and honey are included. Fiber is the most clinically significant gap: low-fiber intake is associated with reduced stool frequency in a dose-dependent way. Long-term low-fiber animal-heavy eating also shifts gut microbiota composition and raises serum TMAO. Magnesium, folate, polyphenols, and vitamin C are also reduced relative to a plant-inclusive pattern, though fruit intake partially offsets the vitamin C gap. These gaps are monitorable and not catastrophic if the pattern is tracked and adjusted.

Stop signals during the protocol: These are clinician-evaluation triggers. If any apply, contact your healthcare provider; for chest pain or syncope, call 911 / emergency services. Stop signals include chest pain, severe persistent headache, syncope, blood in stool, severe persistent fatigue, ApoB rising more than 30 mg/dL above baseline, vitamin A toxicity symptoms (joint pain, headache, blurred vision, skin changes; documented in case series at organ-meat-achievable intakes), or signs of disordered eating behavior (rigid food rules, social isolation around food, body-image deterioration). These are clinical-evaluation indications, not diet failures.

Who Should Try This, and Who Should Skip

If you match the profile in the first paragraph below, an 8-12 week trial with full panel is reasonable. If you match any of the contraindications, do not start without a clinician and a registered dietitian.

The reader most likely to get something useful from an animal-based trial is one with persistent low-grade metabolic dysfunction on a standard Western pattern, who is willing to baseline a full panel and re-test on schedule. It is also a reasonable framework for someone with genuine interest in ancestral eating who wants a more permissive version than strict carnivore.

The contraindications are real and worth naming directly:

  • History of eating disorder, active or past: restrictive eating patterns are contraindicated; work with a clinician and a registered dietitian before considering any elimination protocol. This applies to all diets in this category.
  • Pregnancy or nursing: specific nutrient requirements this pattern may not meet adequately; do not start without obstetric and dietetic guidance.
  • Under 18: pediatric and dietetic supervision required.
  • Existing dyslipidemia without monitoring: do not start without baseline lipids and a defined re-test schedule with a clinician.
  • Familial hypercholesterolemia: the lipid-trajectory risk is materially elevated; cardiology clearance is required first.
  • Gout history: uric acid trajectory must be tracked from baseline.
  • Active medication regimen for diabetes, hypertension, lipids, or thyroid. Do not adjust dosing or expect to substitute the diet for medication; this is clinician territory.

If any of this applies, the right next step is a clinician and a registered dietitian, not a different food list.

The Honest Read on Animal-Based Eating

If you want a single-line bottom line: this is a measurable experiment, not a permanent identity. Your biomarker panel is the verdict.

The animal-based diet is a plausible framework for people with metabolic dysfunction on a standard Western pattern. But it is not a low-risk experiment without monitoring. The short-term metabolic signals are modest and drawn from adjacent paleo evidence, not direct RCTs. The lipid trade-off is well-documented and load-bearing. The honest signal worth tracking is ApoB plus hsCRP plus the symptom log, not the scale. Restrictive patterns are most useful when treated as time-bounded experiments with measured starting points, not as identities or permanent prescriptions. That principle of understanding your biology before acting on it is foundational to Superpower's approach to preventive health. The diet is the experiment. The biomarker is the verdict.

FAQs

An animal-based diet primarily includes meat, organs, eggs, dairy, fish, and raw honey, with some fruit while avoiding or de-emphasizing most plant-based foods. This approach differs from strict carnivore diets (which exclude all plants) and paleo diets (which include plants but exclude grains and legumes).

On an animal-based diet, most grains, legumes, seed oils, and refined sugars are typically avoided. Vegetables and nuts/seeds are commonly de-emphasized in the Paul Saladino framework, though the strictness varies by individual approach.

An animal-based diet is intended as an ongoing dietary pattern rather than a temporary elimination diet. Re-testing at week 8 and week 12 is appropriate to assess your lipid, inflammation, and micronutrient response.

Safety depends on baseline biomarkers, the cadence of organ-meat consumption, and individual lipid-response phenotype. The pattern reliably raises LDL-C and ApoB in head-to-head trials versus plant-protein controls, and hypervitaminosis A from heavy organ-meat or fish-liver intake is a documented clinical risk. It is not safe to assume without baseline labs and a planned 8- to 12-week re-test. An animal-based diet shows short-term metabolic improvements in self-report cohort data, but cardiovascular research indicates higher LDL-C and apoB on animal-heavy diets versus plant-protein controls. The diet poses particular risks for people with existing dyslipidemia, familial hypercholesterolemia, or gout history, and for those consuming heavy organ-meat or fish-liver intake (dose-related liver toxicity from dietary vitamin A is documented at intakes achievable through organ-meat consumption, and case reports of hypervitaminosis A from fish-liver ingestion exist).

No — not without explicit obstetric and registered-dietitian supervision. The animal-based pattern can miss nutrients critical for fetal development (folate, fiber, certain micronutrients from plant foods) and the elevated saturated-fat load adds cardiovascular monitoring requirements during pregnancy. Do not start this dietary pattern in pregnancy without obstetric and dietitian sign-off.

References

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  2. Kowalski, L. M., & Bujko, J. (2012). [Evaluation of biological and clinical potential of paleolithic diet]. Roczniki Panstwowego Zakladu Higieny, 63(1), 9-15. https://pubmed.ncbi.nlm.nih.gov/22642064/
  3. Beal, T., & Ortenzi, F. (2022). Priority Micronutrient Density in Foods. Frontiers in nutrition, 9, 806566. https://doi.org/10.3389/fnut.2022.806566
  4. Bergeron, N., Chiu, S., Williams, P. T., M King, S., & Krauss, R. M. (2019). Effects of red meat, white meat, and nonmeat protein sources on atherogenic lipoprotein measures in the context of low compared with high saturated fat intake: a randomized controlled trial. The American journal of clinical nutrition, 110(1), 24-33. https://doi.org/10.1093/ajcn/nqz035
  5. Genoni, A., Christophersen, C. T., Lo, J., Coghlan, M., Boyce, M. C., Bird, A. R., Lyons-Wall, P., & Devine, A. (2020). Long-term Paleolithic diet is associated with lower resistant starch intake, different gut microbiota composition and increased serum TMAO concentrations. European journal of nutrition, 59(5), 1845-1858. https://doi.org/10.1007/s00394-019-02036-y
  6. Wang, M., Li, X. S., Wang, Z., de Oliveira Otto, M. C., Lemaitre, R. N., Fretts, A., Sotoodehnia, N., Budoff, M., Nemet, I., DiDonato, J. A., Tang, W. H. W., Psaty, B. M., Siscovick, D. S., Hazen, S. L., & Mozaffarian, D. (2023). Trimethylamine N-oxide is associated with long-term mortality risk: the multi-ethnic study of atherosclerosis. European heart journal, 44(18), 1608-1618. https://doi.org/10.1093/eurheartj/ehad089
  7. Lennerz, B. S., Mey, J. T., Henn, O. H., & Ludwig, D. S. (2021). Behavioral Characteristics and Self-Reported Health Status among 2029 Adults Consuming a "Carnivore Diet". Current developments in nutrition, 5(12), nzab133. https://doi.org/10.1093/cdn/nzab133
  8. Jamka, M., Kulczyński, B., Juruć, A., Gramza-Michałowska, A., Stokes, C. S., & Walkowiak, J. (2020). The Effect of the Paleolithic Diet vs. Healthy Diets on Glucose and Insulin Homeostasis: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Journal of clinical medicine, 9(2). https://doi.org/10.3390/jcm9020296
  9. Koch, C. A., Kjeldsen, E. W., & Frikke-Schmidt, R. (2023). Vegetarian or vegan diets and blood lipids: a meta-analysis of randomized trials. European heart journal, 44(28), 2609-2622. https://doi.org/10.1093/eurheartj/ehad211
  10. Yokoyama, Y., Levin, S. M., & Barnard, N. D. (2017). Association between plant-based diets and plasma lipids: a systematic review and meta-analysis. Nutrition reviews, 75(9), 683-698. https://doi.org/10.1093/nutrit/nux030
  11. National Institute of Diabetes and Digestive and Kidney Diseases. (2020, November 4). Vitamin A. In LiverTox: Clinical and research information on drug-induced liver injury. https://www.ncbi.nlm.nih.gov/books/NBK548165/
  12. Schmitt, C., Domangé, B., Torrents, R., de Haro, L., & Simon, N. (2020). Hypervitaminosis A Following the Ingestion of Fish Liver: Report on 3 Cases from the Poison Control Center in Marseille. Wilderness & environmental medicine, 31(4), 454-456. https://doi.org/10.1016/j.wem.2020.06.003
  13. Balk, E. M., Couch, E., Mai, H. J., Chen, Y., Adam, G. P., Kanaan, G., Caputo, E. L., Trikalinos, T. A., Williams, G., Duncanson, K., Talley, N. J., & Lichtenstein, A. H. (2026). Fiber intake and laxation in people with normal bowel function: a systematic review. The American journal of clinical nutrition, 123(3), 101212. https://doi.org/10.1016/j.ajcnut.2026.101212
  14. Lietz, A., Dapprich, J., & Fischer, T. (2026). Carnivore Diet: A Scoping Review of the Current Evidence, Potential Benefits and Risks. Nutrients, 18(2). https://doi.org/10.3390/nu18020348

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