1.1 Purpose and Context
This report provides a rigorous, evidence-based rebuttal to the JACC State-of-the-Art Review titled "Saturated Fats and Health: A Reassessment and Proposal for Food-Based Recommendations," authored by Astrup et al. and published in 2020.1 The Astrup paper challenges decades of dietary guidance recommending the limitation of saturated fatty acid (SFA) intake as a cornerstone strategy for preventing cardiovascular disease (CVD).1 The authors contend that "mounting evidence" contradicts the necessity of such limits and assert that certain SFA-rich foods, namely whole-fat dairy, unprocessed meat, and dark chocolate, are not associated with increased CVD risk, primarily because of their "complex matrix".1 These claims have generated considerable debate within the scientific and public health communities, given their divergence from established consensus and potential implications for dietary policy.4
The historical context involves dietary recommendations dating back to the mid-20th century, largely driven by the observed association between dietary saturated fat, elevated serum cholesterol (particularly low-density lipoprotein cholesterol, LDL-C), and increased CVD risk.3 Since the late 1970s and early 1980s, major health organizations and national dietary guidelines have advised limiting SFA intake, typically to less than 10% of total calories.1 The Astrup et al. review directly questions the scientific underpinnings of these long-standing recommendations.1
1.2 Roadmap of the Rebuttal
This rebuttal will systematically deconstruct and critically evaluate the core arguments presented by Astrup et al. It will scrutinize the evidence cited in their review, paying close attention to methodological rigor, interpretation, and, critically, the often-overlooked role of replacement nutrients when SFA intake is reduced. Furthermore, this report will present contrasting evidence from the broader scientific literature, including recent meta-analyses and foundational cardiovascular science concerning LDL metabolism. The specific claims made about whole-fat dairy, unprocessed meat, and dark chocolate will be analyzed in the context of current research. A crucial component of this rebuttal involves a thorough examination of the authors' declared conflicts of interest and the potential influence of the funding source for the workshop that informed the paper. Finally, the conclusions drawn by Astrup et al. will be juxtaposed with the current recommendations of major public health organizations worldwide. The objective is to provide a balanced, comprehensive, and critical assessment of the Astrup et al. paper and reaffirm the evidence base supporting current dietary guidance for cardiovascular health.
The Astrup et al. (2020) review constructs its challenge to conventional dietary advice around several key arguments.1 Understanding these arguments is the first step in evaluating the paper's validity.
2.1 Argument 1: Lack of Benefit or Potential Harm from Reducing SFA Intake
A central pillar of the Astrup paper is the assertion that reducing SFA intake lacks clear benefits for major health outcomes. The authors state, "Most recent meta-analyses of randomized trials and observational studies found no beneficial effects of reducing SFA intake on cardiovascular disease (CVD) and total mortality".1 They further suggest potential harm, claiming these analyses "instead found protective effects against stroke".1 To support this, they reference several meta-analyses (specifically citing references 3-6 in their paper, which likely include prominent reviews such as Chowdhury et al., 2014 10 and Siri-Tarino et al., 2010 12). By highlighting studies showing null effects or potential inverse associations for certain outcomes, the paper seeks to undermine the rationale for SFA restriction. The authors explicitly state, "Therefore, the basis for consistently recommending a diet low in saturated fat is unclear".1
2.2 Argument 2: Nuances in LDL Cholesterol Effects (Particle Size)
The paper acknowledges the well-known effect of SFAs on increasing LDL cholesterol but attempts to minimize its clinical significance by focusing on LDL particle characteristics. The authors argue, "Although SFAs increase low-density lipoprotein (LDL) cholesterol, in most individuals, this is not due to increasing levels of small, dense LDL particles, but rather larger LDL particles, which are much less strongly related to CVD risk".1 This argument implies that the type of LDL particle matters more than the total LDL-C concentration and that SFA-induced increases primarily affect the less harmful, larger particles.14 They note that different SFAs have differing effects on various blood lipids and lipoproteins.1 This focus shifts attention away from the established link between total LDL-C (or LDL particle number) and CVD risk towards a more complex, and arguably less well-established, aspect of lipoprotein metabolism.
2.3 Argument 3: The Primacy of the Food Matrix Over Nutrient Content
Astrup et al. strongly advocate for a food-based approach, arguing that the health effects of foods cannot be predicted solely by their SFA content. They emphasize the "complex matrix" of certain SFA-rich foods: "Whole-fat dairy, unprocessed meat, and dark chocolate are SFA-rich foods with a complex matrix that are not associated with increased risk of CVD".1 This perspective suggests that other components within these foods (e.g., minerals, proteins, bioactive compounds, physical structure) interact in ways that mitigate or counteract any potential negative effects of the SFAs they contain.1 They highlight that different SFAs have varied biological effects, further modified by this food matrix and the overall carbohydrate content of the diet.1 This argument aims to decouple specific foods from the general concerns surrounding their SFA content.
2.4 Argument 4: Absence of Robust Evidence Supporting Current SFA Limits
Based on the preceding arguments, the paper concludes that existing recommendations to limit SFA intake are not adequately supported by evidence. They state, "The totality of available evidence does not support further limiting the intake of such foods [whole-fat dairy, unprocessed meat, dark chocolate]".1 More broadly, they assert, "There is no robust evidence that current population-wide arbitrary upper limits on saturated fat consumption in the United States will prevent CVD or reduce mortality".1 This conclusion directly challenges the <10% SFA limit recommended by the U.S. Dietary Guidelines and other major health organizations.1
2.5 Underlying Interpretive Approaches
Scrutiny of these arguments reveals specific interpretive strategies employed by the authors. The paper appears to strategically emphasize inconsistencies within the scientific literature. By stating "Some meta-analyses find no evidence... whereas others report a significant—albeit mild—beneficial effect" 1, the authors amplify the perception of scientific uncertainty. They tend to foreground the meta-analyses showing null results (their references 3-6) while diminishing the impact of those showing benefits (references 7-8) by labeling them "mild." This framing allows them to question the clarity of the evidence base supporting SFA limits.1
Furthermore, the paper frequently discusses the effects of reducing SFA intake without consistently and clearly specifying the crucial factor of the replacement nutrient.1 While the importance of replacement is acknowledged in some sections, the overarching message often downplays the well-established differences between substituting SFA with polyunsaturated fats (PUFA), which is generally beneficial for CVD risk, versus replacing it with refined carbohydrates, which is often neutral or potentially detrimental.7 By obscuring or minimizing the role of the replacement nutrient, the paper can more readily dismiss findings that demonstrate benefits from SFA reduction, as these benefits are often contingent upon what the SFA is replaced with. This selective framing and handling of the replacement nutrient issue are critical points that warrant further examination.
A critical appraisal of the Astrup et al. review necessitates a careful examination of the evidence they cite and the methodological soundness of their interpretations, particularly concerning meta-analyses of SFA intake and health outcomes.
3.1 Critique of Meta-Analyses Cited by Astrup et al.: The Overlooked Replacement Nutrient
The Astrup paper leans heavily on meta-analyses purportedly showing no benefit from reducing SFA intake.1 However, several of the prominent meta-analyses frequently cited in this context, such as Chowdhury et al. (2014) 11 and Siri-Tarino et al. (2010) 12, have faced significant criticism regarding their methodology and interpretation, primarily related to the handling of the replacement nutrient.
A fundamental principle in evaluating dietary fat modification studies is understanding what macronutrient replaces the reduced SFA.7 Replacing SFA with PUFA generally lowers LDL-C and CVD risk, whereas replacement with refined carbohydrates often yields no benefit or may even increase risk factors like triglycerides and lower HDL-C.7 Meta-analyses that fail to account for this crucial substitution effect can produce misleading null findings.7
The Chowdhury et al. (2014) meta-analysis 11, which concluded that evidence did not support guidelines encouraging low SFA consumption, was strongly criticized for multiple errors and omissions, particularly its failure to properly assess the impact of replacing SFA with PUFA.17 Critics noted that when substitution is properly considered, replacing SFA with PUFA is associated with lower CHD risk.17 The analysis also failed to adequately distinguish between monounsaturated fat sources (e.g., plant oils vs. animal fats).17 The 2015 Dietary Guidelines Advisory Committee (DGAC) report also noted that Chowdhury et al. did not specify the replacement macronutrient and found no association, suggesting this lack of specificity was a key limitation.10
Similarly, the Siri-Tarino et al. (2010) meta-analysis 12, which found no significant evidence linking dietary SFA to increased CHD or CVD risk, was critiqued for methodological flaws. One major concern was the potential for overadjustment in some included studies, particularly for serum cholesterol levels, which are intermediates on the causal pathway between SFA intake and CVD. Adjusting for an intermediate variable can bias the estimated effect towards the null hypothesis.18 While the authors of Siri-Tarino et al. performed a sensitivity analysis excluding studies that adjusted for cholesterol and reported similar null results 18, the broader critique regarding the failure to adequately model the replacement nutrient remains pertinent.18 As critics pointed out, the benefit of replacing SFA with PUFA is well-established in other analyses, yet this effect was not apparent in the Siri-Tarino meta-analysis, questioning the validity of its overall conclusions.18
3.2 Interpretation of Randomized Controlled Trials (RCTs) and Cochrane Reviews
Astrup et al. also draw upon RCT evidence, often referencing Cochrane reviews. The Hooper et al. (2020) Cochrane review is particularly relevant.20 While Astrup et al. correctly note that this review found little or no effect of reducing SFA intake on all-cause mortality or cardiovascular mortality 15, their summary omits a key finding. The Cochrane review did find moderate-certainty evidence that reducing dietary SFA for at least two years leads to a statistically significant and potentially important reduction (variously reported as 17% to 21% relative risk reduction) in the risk of combined cardiovascular events.20 The number needed to treat (NNT) to prevent one such event over approximately four years was estimated at 56 in primary prevention settings and 53 in secondary prevention.22
Furthermore, the Cochrane review concluded that replacing energy from SFA with PUFA or carbohydrates appeared to be useful strategies.20 Crucially, meta-regression analysis indicated that greater reductions in SFA intake, reflected by greater reductions in serum cholesterol, were associated with greater reductions in the risk of cardiovascular events, explaining much of the heterogeneity between trials.20 This dose-response relationship strengthens the evidence for a causal link.
Astrup et al.'s focus on the null findings for mortality endpoints, while downplaying the significant reduction in combined cardiovascular events and the dose-response relationship linked to cholesterol lowering, represents a selective interpretation of the Cochrane review's findings. While some critiques of the Cochrane review exist, suggesting potential bias in the composite endpoint or loss of significance in sensitivity analyses 4, the review authors have defended their methodology and conclusions, emphasizing the meta-regression results.25 It is also important to note that many of the individual outcomes within the composite endpoint (like non-fatal MI or stroke) were based on low or very low-quality evidence, making definitive conclusions about them difficult.15
3.3 Evaluating the Claim of Protective Effects Against Stroke
The assertion by Astrup et al. that reducing SFA intake has "protective effects against stroke" 1 requires careful examination. The evidence is not straightforward. The Hooper et al. (2020) Cochrane review found the effects on total stroke were unclear due to very low-quality evidence.15 Some analyses of prospective studies suggest that lower SFA intake might be associated with an increased risk of hemorrhagic stroke, although the evidence is considered limited.26 Conversely, replacing SFA with PUFA may reduce the risk of ischemic stroke.7 Therefore, presenting the effect as simply "protective" oversimplifies a complex relationship that likely differs by stroke subtype and the nature of the dietary replacement.
3.4 Prioritization of Outcomes and Interpretation of Heterogeneity
The interpretation presented by Astrup et al. appears influenced by a prioritization of mortality outcomes over morbidity or combined event endpoints. While mortality is a critical outcome, non-fatal cardiovascular events significantly impact quality of life and healthcare costs. Guidelines and other reviews often place considerable weight on reductions in total CVD events.7 Astrup et al.'s emphasis on the null findings for mortality allows them to build a narrative of SFA reduction being ineffective.
Additionally, the handling of heterogeneity in meta-analyses is crucial. Significant heterogeneity (e.g., I²=65% for CVD events in Hooper et al. 23) can be interpreted in different ways. Astrup et al. implicitly use it to question the reliability of the findings. However, as the Cochrane authors demonstrated through meta-regression 20, heterogeneity can sometimes be explained by underlying factors, such as the extent of the intervention (degree of SFA reduction and cholesterol lowering). When heterogeneity is explained by a biologically plausible dose-response relationship, it can actually strengthen, rather than weaken, the evidence for an effect. The Astrup paper does not adequately engage with this possibility, particularly when it contradicts their preferred narrative.
In summary, the evidence base cited by Astrup et al. is often interpreted selectively. By focusing on meta-analyses with methodological weaknesses (especially regarding replacement nutrients), emphasizing null mortality findings while downplaying significant morbidity reductions, and not fully exploring explanations for heterogeneity, the paper constructs an argument against SFA limits that does not fully reflect the nuances and weight of the available scientific data.
The arguments put forth by Astrup et al. stand in contrast not only to historical dietary guidance but also to contemporary research findings and fundamental principles of cardiovascular science. A broader examination of the evidence reinforces the rationale for limiting SFA intake, particularly when replaced by unsaturated fats.
4.1 Findings from Recent Systematic Reviews and Meta-Analyses
Recent comprehensive reviews continue to support the benefits of modifying SFA intake. A 2024 umbrella review of meta-analyses confirmed that reducing SFA intake probably reduces combined cardiovascular events, with moderate certainty evidence based on RCTs.23 While this review also found no significant effect on all-cause or cardiovascular mortality in RCTs, consistent with Hooper et al. (2020), it underscores that reducing SFA likely impacts cardiovascular morbidity.23 Notably, this review did find associations in cohort studies between higher SFA intake and increased coronary heart disease mortality, though the evidence certainty was very low.23
Other recent analyses reinforce the importance of replacement. A 2021 review highlighted that while RCTs testing SFA reduction effects on ASCVD outcomes are limited, the available evidence supports the view that replacing SFA with unsaturated fatty acids, particularly PUFA, may reduce ASCVD risk.6 The Academy of Nutrition and Dietetics' 2023 evidence-based guideline concluded that moderate-certainty evidence supports individualized reduction of SFA intake for CVD event reduction, and low-to-moderate certainty evidence supports replacing SFAs specifically with PUFAs.27 Furthermore, a 2022 dose-response meta-analysis focusing on circulating SFA biomarkers found associations between higher levels of certain even-chain SFAs (like palmitic acid) and increased risk of T2D and CVD, while odd-chain SFAs showed different patterns, underscoring the heterogeneity but not dismissing risk overall.28 These recent appraisals generally align with the long-standing guidance challenged by Astrup et al.
4.2 The Established Causal Role of LDL Cholesterol (LDL-C)
A cornerstone of cardiovascular prevention is the understanding that elevated LDL-C is a causal factor in the development of atherosclerosis.7 This conclusion is supported by a convergence of evidence from multiple lines of inquiry:
The European Atherosclerosis Society Consensus Panel, reviewing this extensive evidence, concluded that the association between LDL and ASCVD fulfills the criteria for causality.30 The process begins with the retention of LDL particles in the arterial intima, initiating plaque development, with the probability of retention increasing in a dose-dependent manner with LDL-C concentrations above physiological levels (around 20-40 mg/dL).30 While some researchers question the LDL hypothesis 31, their arguments often rely on selective data interpretation (e.g., lack of association in specific subgroups, inverse association in the elderly potentially due to confounding illness) and do not overturn the overwhelming weight of evidence supporting LDL-C causality.7 Importantly, even LDL-C levels considered "normal" (e.g., <160 mg/dL or even <130 mg/dL) are associated with the presence and extent of subclinical atherosclerosis in middle-aged individuals without traditional risk factors.32
4.3 SFA Effects on LDL-C and the Particle Size vs. Number Debate
It is undisputed that, compared to unsaturated fats or carbohydrates, SFAs generally raise LDL-C levels.1 This effect is a primary mechanism linking high SFA intake to increased CVD risk.7 Astrup et al. attempt to mitigate this by emphasizing that SFAs preferentially increase larger, supposedly less atherogenic LDL particles.1
However, this focus on particle size is inconsistent with the evolving understanding of lipoprotein atherogenicity. While small, dense LDL (sdLDL) particles possess characteristics that may enhance their atherogenicity (e.g., easier endothelial penetration, higher susceptibility to oxidation, longer residence time) 14, a growing body of evidence indicates that LDL particle number (LDL-P), often estimated by measuring apolipoprotein B (ApoB, as each LDL particle contains one ApoB molecule), is a more robust and consistent predictor of CVD risk than LDL particle size or even LDL-C concentration itself.14 Individuals with the same LDL-C level can have vastly different numbers of LDL particles, and those with higher particle numbers (often associated with smaller size, but not always) are typically at higher risk.14
Meta-analyses confirm that LDL-P is directly associated with CVR, while LDL particle size (LDL-Z) shows an inverse association, but this relationship is less consistent across studies.33 Crucially, LDL particle size often loses its independent predictive value for CVD risk after adjusting for other risk factors like LDL-C, triglycerides, HDL-C, or LDL-P/ApoB.34 Therefore, dismissing the adverse effect of SFA-induced LDL-C elevation based primarily on a shift towards larger particles is an oversimplification that ignores the more critical role of the total number of atherogenic lipoproteins. Since SFAs generally increase LDL-C and ApoB compared to unsaturated fats, they increase the atherogenic particle burden, regardless of shifts in average particle size. Furthermore, the association between LDL-C and near-term ASCVD events appears strongest in individuals who already have coronary atherosclerosis (e.g., coronary artery calcium score > 0), suggesting LDL-C remains a potent driver of progression even if it's less strongly associated with initiating events in truly "clean" arteries over shorter follow-up periods.29
4.4 The Critical Importance of the Replacement Nutrient
The apparent inconsistencies in studies examining SFA reduction and CVD risk are largely resolved when the replacement nutrient is considered.7
This consistent pattern across different study designs underscores that simply reducing SFA is insufficient; the quality of the replacement nutrient is paramount. The Astrup paper's failure to consistently foreground this critical distinction significantly weakens its conclusions about the lack of benefit from reducing SFA intake. The convergence of evidence, when replacement is properly accounted for, strongly supports the strategy of replacing SFA with unsaturated fats, especially PUFA.
Astrup et al. specifically highlight whole-fat dairy, unprocessed meat, and dark chocolate as SFA-rich foods that they claim are "not associated with increased risk of CVD," attributing this to their "complex matrix".1 This section critically examines the evidence for these specific foods.
5.1 Whole-Fat Dairy
The relationship between dairy consumption, particularly whole-fat dairy, and CVD risk is complex and debated. Astrup et al. lean on studies suggesting neutral or even inverse associations.1 The "dairy matrix" concept is often invoked, suggesting that components like calcium, bioactive peptides, vitamin K2, probiotics (in fermented products like yogurt), and the unique structure of milk fat (e.g., the milk fat globule membrane) may modulate the effects of dairy SFA on cardiometabolic health.16 Some studies suggest differential effects, for instance, cheese potentially having a more neutral or beneficial effect on blood lipids compared to butter with equivalent SFA content.26
However, the evidence is not uniformly supportive of exonerating whole-fat dairy. Dairy products remain a primary source of SFAs in many Western diets.16 Recent large-scale analyses present a mixed picture. A global analysis involving Chinese and UK biobanks found that regular dairy consumption (mainly whole milk in the Chinese cohort) was associated with a 9% increased risk of coronary heart disease (CHD), although also a 6% reduced risk of stroke.41 In the UK cohort, total dairy consumption was linked to lower risks of CVD, CHD, and ischemic stroke, with cheese and lower-fat milk showing inverse associations.41 A meta-analysis within the same study found total dairy associated with slightly reduced CVD and stroke risk overall, with inverse associations specifically noted for cheese and low-fat dairy.41 Another recent narrative review concluded that while regular-fat dairy might be incorporated into healthy eating patterns based on current evidence showing mostly neutral associations, more research is needed to confirm potential benefits for outcomes like body weight or blood lipids.40
Thus, the claim that whole-fat dairy is simply "not associated with increased risk" 1 oversimplifies the available data. While the matrix effects may attenuate some risks associated with SFA content, the evidence remains inconsistent, potentially varying by dairy product type (milk vs. cheese vs. yogurt), population, and overall dietary pattern. Major dietary guidelines continue to recommend low-fat or fat-free dairy options as the preferred choice to meet nutrient needs while adhering to SFA limits.42
5.2 Unprocessed Meat
Astrup et al. similarly claim unprocessed meat is not associated with increased CVD risk.1 It is important to distinguish unprocessed red meat (beef, pork, lamb) from processed meats (bacon, sausage, hot dogs), as the latter are more consistently linked to adverse health outcomes. Recent meta-analyses of RCTs focusing specifically on unprocessed beef intake have reported minimal impact on most CVD risk factors, including blood pressure, total cholesterol, HDL-C, triglycerides, and ApoB.47 One meta-analysis found a small but statistically significant increase in LDL-C (approx. 2.7 mg/dL) with higher beef intake compared to low/no beef diets, although this finding was sensitive to the removal of one influential study and became non-significant in sensitivity analyses.47 These RCTs often use lean cuts of beef.48
However, findings from RCTs focusing on intermediate risk factors may not fully capture long-term risk associated with habitual consumption patterns assessed in large prospective cohort studies. While observational data on unprocessed red meat and CVD risk are more inconsistent than for processed meat, several studies and reviews suggest potential harm. One study found that SFA specifically from meat sources was associated with higher CVD risk, an association partially mediated by higher BMI in meat-eaters.49 Another recent large cohort study linked higher unprocessed red meat intake not to dementia but to a 16% higher risk of subjective cognitive decline.50 While association does not prove causation, these findings challenge the definitive "not associated with increased risk" claim.
Major health organizations, including the AHA, generally recommend limiting red meat intake (including lean and unprocessed varieties) and choosing healthier protein sources like plants (legumes, nuts), fish/seafood, and poultry more often.42 The rationale involves not only SFA content but also other components like heme iron, L-carnitine (and its conversion to TMAO), and potential effects on inflammation or the gut microbiome.50 The evidence surrounding unprocessed red meat remains an area of active research and debate, making the unqualified statement by Astrup et al. appear overly simplistic and dismissive of potential long-term risks identified in observational epidemiology.
5.3 Dark Chocolate
The inclusion of dark chocolate in the list of exonerated SFA-rich foods 1 likely stems from research on its flavanol content, which possesses antioxidant and anti-inflammatory properties and may improve endothelial function and blood pressure.52 A recent Mendelian randomization study provided evidence suggesting a causal relationship between dark chocolate intake and a reduced risk of essential hypertension, and possibly venous thromboembolism, although no significant association was found for ten other CVD outcomes.52 Intervention studies have also shown potential benefits for arterial function, such as reduced pulse wave velocity and augmentation index, particularly with high-cocoa (≥70%) chocolate.53
However, these potential benefits must be weighed against other nutritional aspects. Dark chocolate can be energy-dense and contain significant amounts of sugar and saturated fat (primarily stearic and palmitic acid from cocoa butter). The health benefits are likely specific to high-flavanol, high-cocoa content chocolate consumed in moderation. The evidence supports potential benefits for specific cardiovascular parameters like blood pressure and endothelial function, rather than a blanket statement of "not associated with increased CVD risk." Overconsumption could easily negate benefits due to excess calorie, sugar, and SFA intake. Furthermore, some claimed benefits may be limited; one meta-analysis found no significant effect of dark chocolate consumption on VO2max, a measure of aerobic fitness.54
5.4 Critical Assessment of the Food Matrix Argument
The "food matrix" concept 1 is scientifically valid; the physical and chemical interactions between nutrients and other components within a food influence digestion, absorption, and metabolic effects. However, Astrup et al. appear to employ this argument selectively to defend specific SFA-rich foods. While the matrix can modulate the physiological impact of SFAs (e.g., calcium in dairy binding fatty acids, fermentation altering lipid profiles), it is unlikely to completely nullify the fundamental biochemical effects of consuming large amounts of SFAs, particularly on LDL-C and ApoB levels, especially within the context of typical Western dietary patterns often high in refined carbohydrates and sugars.
Relying heavily on the food matrix to dismiss concerns about SFA content risks ignoring the substantial body of evidence demonstrating that reducing SFA intake and replacing it appropriately (e.g., with PUFA) lowers CVD risk.7 The matrix effect might explain why some SFA sources appear less detrimental than others, but it does not invalidate the general principle, supported by decades of research and endorsed by major health organizations, that overall SFA intake should be limited for cardiovascular health. The argument can become a convenient justification for consuming foods high in SFA rather than a balanced application of a complex scientific principle.
In conclusion, the evidence regarding the specific foods highlighted by Astrup et al. is far more nuanced and contested than their review suggests. Blanket statements that whole-fat dairy and unprocessed meat are "not associated with increased risk" are not fully supported by the totality and complexity of the evidence, which includes conflicting findings and ongoing scientific debate. While dark chocolate shows promise for specific benefits, its overall impact depends heavily on quantity and formulation. The food matrix modulates effects but does not erase the well-established impact of SFA load on lipid metabolism and CVD risk when considered in the context of replacement nutrients.
A crucial aspect of critically evaluating any scientific review, particularly one challenging established consensus, is examining the potential for bias stemming from authors' conflicts of interest (COIs) and funding sources. The Astrup et al. (2020) paper warrants close scrutiny in this regard due to extensive declared ties among its authors and the nature of the entity funding the workshop that informed the review.1
6.1 Declared Conflicts of Interest of the Authors
The paper discloses numerous relationships between its authors and various commercial and industry groups.1 These affiliations are widespread and cluster around specific sectors that stand to benefit from a relaxation of guidelines limiting saturated fat intake:
Table 1: Summary of Declared Conflicts of Interest (Astrup et al. Authors) and Workshop Funder
Author |
Declared Affiliations/Funding (Selected Examples from ) |
Arne Astrup |
Dairy (Danish Dairy Found., Arla Foods, European Milk Found.), McCain Foods, Weight Watchers |
Faidon Magkos |
(None declared relevant to paper contents) |
Dennis M. Bier |
ILSI, Int. Council Amino Acid Sci., Nutrition & Growth Solutions, Ajinomoto, Lorenzini Found., CrossFit Found., Int. Glutamate Tech. Committee, Nestlé, Ferrero, Mallinckrodt, Infant Nutr. Council |
J. Thomas Brenna |
Beef (Cattlemen’s Beef Assoc./ND Beef Council), Dairy Management Inc. (panel honorarium), Retrotope (shareholder) |
Marcia C. de Oliveira Otto |
(None declared relevant to paper contents) |
James O. Hill |
Beef (Nat. Cattlemen’s Beef Assoc.), Dairy (Milk PEP advisory), General Mills (advisory), ILSI (trustee) |
Janet C. King |
(None declared relevant to paper contents) |
Andrew Mente |
Dairy (Dairy Farmers of Canada, National Dairy Council - research funding w/ Yusuf) |
Jose M. Ordovas |
Archer Daniels Midland (probiotics funding), Nutrigenomix, Predict Study, GNC, Weight Watchers (advisory/consultant) |
Jeff S. Volek |
Dairy (Nat. Dairy Council/Dutch Dairy Org.), Malaysian Palm Board, Pruvit Ventures, Metagenics (funding); Ketogenic book royalties; Virta Health, UCAN, Atkins Nutritionals, PangeaKeto (advisory/equity) |
Salim Yusuf |
Dairy (Dairy Farmers of Canada, National Dairy Council - research funding w/ Mente) |
Ronald M. Krauss |
Dairy (Dairy Management Inc. - funding); Virta Health, DayTwo (advisory); Lipoprotein particle measurement patent |
Workshop Funder |
The Nutrition Coalition (TNC) - Funded workshop.2 Non-profit.1 Explicitly advocates against SFA limits.5 Founded by Nina Teicholz.57 Received initial major funding from Arnold Foundation.58 States it does not accept industry funding.59 |
6.2 Funding Source of the Informing Workshop: The Nutrition Coalition (TNC)
The paper explicitly states that the evidence discussed was presented during an expert workshop funded by The Nutrition Coalition (TNC).1 TNC is described as a "nonprofit nonpartisan educational organization whose primary goal is ensuring that U.S. nutrition policy is based on rigorous scientific evidence".1 However, TNC's activities and public positions reveal a clear advocacy agenda focused on challenging and overturning dietary guidelines that limit saturated fat.5
TNC was founded by journalist Nina Teicholz, author of "The Big Fat Surprise," a book arguing against SFA limits and promoting meat and dairy consumption.57 While TNC states it does not accept funding from industry groups 59, its establishment and initial activities were significantly supported by the Laura and John Arnold Foundation.58 TNC has actively lobbied Congress and criticized the Dietary Guidelines Advisory Committee (DGAC) process, alleging lack of rigor, transparency, and bias against low-carbohydrate diets and saturated fats.55 Critics have pointed out that TNC's advocacy aligns closely with the interests of the meat and dairy industries, regardless of its direct funding sources.58 The funding of the workshop by an organization with such a strong pre-existing stance against SFA limits raises significant concerns about the potential for bias in the selection of experts, the framing of the discussion, and the synthesis of information leading to the JACC review.
6.3 Potential Impact of Conflicts and Funding on the Review
The convergence of authors with extensive financial ties to industries benefiting from relaxed SFA guidelines (dairy, beef, low-carb/keto products) and the funding of the foundational workshop by an advocacy group (TNC) explicitly campaigning against SFA limits creates a substantial potential for bias. This potential bias could manifest in several ways throughout the Astrup et al. paper:
It is important to acknowledge that the existence of COIs does not automatically equate to biased research or conclusions.59 However, the sheer extent and nature of the declared conflicts among the Astrup et al. authors, coupled with the workshop funding by a highly focused advocacy group like TNC, create an environment where confirmation bias and motivated reasoning are highly plausible. TNC's role is particularly noteworthy; while not direct "industry" funding, its philanthropic funding supports a specific policy agenda that aligns with certain commercial interests, effectively blurring the lines of influence.58 The lack of disclosure regarding TNC's specific agenda and leadership within the paper itself (beyond its non-profit status) further obscures this potential influence. Transparency regarding such conflicts and funding sources is paramount for readers to assess the objectivity and credibility of scientific reviews, especially those proposing major shifts in public health policy.56 The analysis of COIs in the 2020 DGAC, revealing widespread ties 63, underscores the systemic nature of these concerns in nutrition policy debates.
The conclusions reached by Astrup et al. (2020) – namely, that evidence does not support limiting SFA intake and that specific SFA-rich foods are not associated with CVD risk 1 – stand in stark contrast to the recommendations consistently put forth by major national and international public health organizations. These organizations base their guidelines on comprehensive, systematic reviews of the totality of scientific evidence.
7.1 United States Dietary Guidelines for Americans (DGA) 2020-2025
7.2 American Heart Association (AHA)
7.3 World Health Organization (WHO)
7.4 European Society of Cardiology (ESC)
7.5 Direct Contradiction and Consensus
The recommendations from these major, independent health organizations demonstrate a remarkable consistency: limit SFA intake to <10% of calories and prioritize replacement with unsaturated fats (especially PUFA) as part of an overall healthy dietary pattern. This consensus is built upon decades of accumulated scientific evidence from diverse sources, including metabolic studies, large observational cohorts, genetic studies, and RCTs, when interpreted comprehensively and with appropriate attention to methodological details like replacement nutrients.
The Astrup et al. paper's conclusion that the "totality of available evidence does not support further limiting the intake of such foods" 1 and that there is "no robust evidence" for current SFA limits 1 directly contradicts this strong international consensus. Their review represents a minority viewpoint that diverges significantly from the interpretations and recommendations of virtually all major bodies responsible for public health guidance on diet and cardiovascular disease prevention.
Table 2: Comparison of SFA Recommendations and Rationales
Organization / Paper |
Recommended SFA Limit (% Calories) |
Key Rationale / Evidence Cited |
Stance on Replacement Nutrient |
Stance on SFA-rich Foods (Dairy/Meat) |
US DGA (2020-25) |
< 10% 9 |
Evidence linking SFA to LDL-C & CVD risk; DGAC review 10 |
Replace SFA with unsaturated fats 43 |
Recommends low-fat/fat-free dairy; lean/unprocessed meats 44 |
AHA (2017/2021) |
< 10% (general); < 6% (LDL lowering) 7 |
Decades of science: SFA raises LDL-C (causal for ASCVD); RCTs show ~30% CVD reduction replacing SFA w/ PUFA 7 |
Strongly emphasizes replacement with PUFA/MUFA 7 |
Recommends low-fat/fat-free dairy; limit red meat 42 |
WHO |
< 10% 8 |
Evidence linking SFA to CVD risk factors/events |