ABSTRACT
Widely differing views exist among experts, policy makers, and the general public with regard to the potential risks and benefits of reduced- or low-energy sweeteners (LES) in the diet. These views are informed and influenced by different types of research in LES, with differing hypotheses, designs, interpretation, and communication. Given the high level of interest in LES, and the public health relevance of the research evidence base, it is important that all aspects of the research process are framed and reported in an appropriate and balanced manner. In this Perspective, we identify and give examples of a number of issues relating to research and reviews on LES, which may contribute toward apparent inconsistencies in the content and understanding of the totality of evidence. We conclude with a set of recommendations for authors, reviewers and journal editors, as general guidance to improve and better standardize the quality of LES research design, interpretation, and reporting. These focus on clarity of underlying hypotheses, characterization of exposures, and the placement and weighting of new research within the wider context of related prior work.
Keywords: energy, sweetness, guidance, communication, recommendations
Introduction
Research and review articles convey a range of differing conclusions about the potential impact of low-energy (“artificial” or naturally derived) sweeteners (LES) on public health, ranging from harmful to neutral to beneficial. Some commentators have highlighted concerns that use of LES may raise risks for obesity and metabolic disorders (1–4), whereas others are equally clear in expressing likely benefits of LES with regard to many of these same outcomes (5, 6). This has not been resolved by recent systematic reviews with meta-analyses (7–9), which generated differing conclusions.
There is consistent international guidance to industry and the public to reduce sugar intakes (10), and LES are a major alternative to sugars in many products, making this is an important public health issue to resolve. Furthermore, given that LES and LES-containing products receive a high level of attention from media and consumers, there is additional responsibility for experts to frame and communicate their views and research data in an appropriate context. As such, high standards for research designs and the representation and weighting of evidence are needed to ensure a balanced interpretation, context, and reporting in research and reviews on LES.
A recent expert stakeholder panel proposed a number of research priorities for LES and health outcomes (11). Although that panel did not specifically address issues relating to the execution of research and reporting on LES, others have highlighted issues in experimental design and interpretation that can magnify apparent inconsistencies in the evidence base (12–14). In this Perspective, we highlight specific practices that can be considered as part of guidance to improve the design, reporting, and interpretation of research on LES. We illustrate the issues with examples and conclude with some recommended practices for authors, reviewers, and journal editors.
Be Clear about the Hypothesis: What Question Is Being Tested?
From a public health perspective there is need for an evidence base of research that decisively addresses the benefits and risks of LES; that is, generating reliable data and analyses on how the use of LES, as a replacement for sugars or on their own, influences metabolic health. Research on LES and noncommunicable disease risks fits broadly under 3 underlying a priori hypotheses, reflecting questions about exposure to energy reduction, sweetness, or LES-specific (metabolic or safety) effects. The design of studies, particularly in terms of the exposure and relevant comparators, should follow from and correspond to the underlying hypothesis and primary research question being posed.
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Energy reduction: Testing effects of low-/noncaloric vs. caloric sweeteners
Where the research question tests exposure to LES as a generic low- or noncaloric source of sweetness, the hypothesis as stated is usually independent of the specific sweetener(s) considered. The appropriate comparator will be the same test product (usually food or beverage) vehicle(s) or dietary regimen with caloric sweeteners, tested against LES with a significantly lower energy content per unit consumed, and similar in sweetness and other sensory attributes.
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Sweetness: Testing effects of sweetness (sweet stimuli) exposure per se
Where the research question tests exposure to LES as a “pure” (noncaloric) sweet stimulus, the hypothesis as stated is usually independent of the specific sweetener(s) considered. The main exception to this would be where the hypothesis is based on interactions of a specific LES structure and sweet taste receptor(s). The appropriate comparison is to exposure to the same or similar delivery vehicle(s) or dietary regimen, at the same energy and nutrient density, with and without LES.
Depending on the hypothesis, the research may test oral exposure to LES as a sweet stimulus or LES as chemical stimuli for receptors sensitive to “sweet” tastants in the gut or internal tissues. For oral exposure, the most common comparison would be LES-sweetened beverages versus water, but this has also been tested with solid foods (15). To isolate the post-oral gastrointestinal or systemic exposures, LES in capsules would typically be used, or perhaps naso-enteric intubation (16).
In order to interpret whether any putative effects are a response to LES specifically versus sweet stimuli in general, these studies should optimally include an additional comparison of sweet versus nonsweet caloric stimuli, such as glucose (sweet) versus pure short-chain maltodextrin (non-sweet, rapidly hydrolyzed glucose polymer).
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Sweetener-specific: Testing specific postingestive (metabolic, physiological, toxicologic) effects of a specific LES or group of LES
These types of research questions are clearly based around one or more specific LES, with the underlying hypothesis relating to unique physiological effects that may arise from their particular characteristics. In this case, the appropriate comparison is to the same test product (food, beverage, capsule) vehicle(s) or dietary regimen with no LES or, to sharpen the interpretation, preferably a different LES lacking the characteristic(s) of interest.
Because sweeteners differ markedly in their absorption, distribution, metabolism, and excretion (ADME), they can also differ in the potential presence of the intact material or metabolites in different body sites (17, 18). This point is often overlooked, yet may be highly relevant for the interpretation and extrapolation of experimental and population data, and is considered further in the next section.
Differences in the (stated or unstated) hypotheses, lack of clarity, or mixing of hypotheses can have important consequences. Examples of this can be seen in the assessment of effects of LES intervention trials on outcomes relating to energy balance in 3 recent systematic reviews with meta-analyses. Rogers et al. (8) separately analyzed and reported comparisons of LES versus sugars, LES versus water, and LES versus placebo capsules. In contrast, Azad et al. (7) and Toews et al. (9) did not make this distinction between comparators. For energy intake and weight change, a benefit of LES is more plausible when compared with a caloric than with a noncaloric alternative (19), so the decision of whether to make this distinction can significantly impact the combined effect sizes and conclusions (as can be seen in those reviews). There may be valid arguments for either approach in meta-analysis; however, the primary research studies invariably differentiate these comparisons in their hypotheses and designs.
A further consideration is whether the underlying hypotheses are or should be sweetener specific. This has implications for study selection and the interpretation (extrapolation) of results. For example, the protocol and objectives for the systematic review of Toews et al. (9) are framed in a way that is independent of the specific sweetener, although the review only included studies where the sweetener was specified. This criterion largely excludes studies where free-living subjects consume a mix of commercial LES-containing “diet” products, generating a much smaller evidence base than other contemporary systematic reviews for similar outcomes (7, 8, 20).
Control and Specify Exposures Where Relevant
There are research hypotheses and designs where the nature of the exposure and specific LES may be important. By definition, LES all share the characteristics of being sweet and low in energy when used in place of sugars. For hypotheses based on exposure to energy or sweetness, effects are usually assumed to be related to variation in the energy content or taste attributes of the test materials (19, 21). In the absence of other hypotheses, it is generally reasonable to presume that similar results would be seen using other LES to achieve the same calorie reduction or taste profile. Nevertheless, specific LES may differ with regard to their stimulation of different “sweet taste” receptors, digestion or uptake in the gut, and appearance and pharmacokinetics in different body pools, which results in differing potential for interactions with specific gut or systemic receptors and systemic or gut (including microbiota) metabolism (14, 17, 18, 22, 23). For example, protein or peptide sweeteners are rapidly digested and absorbed as their constituent amino acids, so they will not enter the colon. Sucralose is usually reported to be almost completely excreted intact in feces (70–90%), although this has recently been questioned (24). Steviol glycosides, on the other hand, are actively metabolized by the colonic microflora, bacterial cleavage of the glycoside component allowing absorption of steviol, which is systemically available after hepatic glucuronidation and renally excreted.
There is currently considerable interest in the possible effects of LES on the gut microbiota composition, which has been reported for saccharin, sucralose, and steviol glycosides in humans (25). The plausibility of these observations is directly linked to the molecular and thus ADME properties of the specific LES and cannot be generalized. Moreover, as the functional capacity of the microbiota may be more relevant than purely taxonomic accounts of composition, the extrapolation from these observations to health implications must also take account of the nature and properties of the specific LES exposures. The majority of these studies have also been in rodents, which have been valuable in generating new hypotheses, especially where these are not amenable to direct testing in humans [e.g., (26)]. However, important differences between specific animal research models and test conditions contribute to many inconsistencies in the literature (12, 27), and direct relevance to human nutrition and metabolism cannot simply be assumed. Approaches in animal studies, such as very excessive dose loading, may be appropriate for some safety and toxicological research but can have distorting consequences for nutrition-related outcomes. A further issue for interpretation and replication is that many studies have fed animals commercial “tabletop” LES preparations, which are of unknown, impure, or variable composition, where the sweetener comprises perhaps only a small percentage of the total content (28–30). Notably, the non-LES filler material or bulking agents in these compositions may also include fermentable carbohydrates.
Exposures in studies may be short or long term, and hypotheses should also logically relate to this. Despite in vitro evidence of variation in stimulation of oral, gut, and systemic receptors by LES, a large body of short-term physiological studies in humans find no consistent generic or LES-specific effect on acute postprandial responses (31–33). However, there is more limited evidence testing potential variation in chronic LES-specific exposure effects on glycemic or gut hormone responses. Here it would be crucial that hypotheses relate to the metabolic fates of specific LES, which might differentially affect physiology in the long term, a different and possibly more important question than what single-dose acute studies can address. Measurable differences in physiological responses to different LES, mediated by mechanisms independently of their actions at sweetness receptors, may be almost inevitable given their extreme chemical diversity. It is important to confirm whether these differences produce consistent and meaningful variation in health-related outcomes (34).
Depending on the hypotheses, human research studies may also need to take account (e.g., by selection or preplanned statistical analyses) of participant characteristics, particularly whether they are habitually high or low consumers of LES. It is likely that these groups also differ with regard to other habitual dietary and other lifestyle behaviors or personal characteristics (e.g., microbiome), which may significantly influence responses to interventions or their interpretation (14, 18). Establishing the nature of prior LES exposures of populations may also have important implications for the interpretation of cross-sectional and prospective observational studies measuring birth or long-term health outcomes. It seems essential (and yet is rare) that researchers consider which particular LES were available to the cohort at the time and place of data collection or index events (such as conception, pregnancy), so the plausibility of causal interpretations can be placed in the context of the relevant ADME properties and prior physiological or safety studies. For example, as noted above, LES differ substantially in their uptake and access to systemic circulation or tissues.
Last, a limitation noted in a recent systematic review of the relation between sweet taste exposure and subsequent liking and preference for sweet stimuli was that few studies had made any quantitative assessments of the perceived sweetness of test materials or diets (21). Instead, the content or even just the presence of sugars or sweeteners in foods or diets was often used as a proxy indicator of exposures to sweetness. While matching of test materials should be relatively easy in laboratory-based trials, the characterization of exposures to sweetness is more challenging where the subjects or cohort are consuming a range of commercially available foods. Recent efforts to generate “sensory-diet” databases (35, 36) are an important development, as they can provide a basis for objectively quantifying and comparing exposures to sensory attributes of foods and diets in large populations. For both behavioral and physiological research focused on the effects of orosensory exposure to sweetness in foods or beverages, it seems essential that some effort is made to verify the actual exposures.
Considering all of these potential sources of variability in research materials or exposures, design, and outcomes, it is vital that the hypotheses, design, and interpretation of research are consistent with the specific LES source(s), the doses and means of delivery, and the putative mechanisms or sites of action, which may primarily be oral, gastrointestinal, or systemic. Effects of specific sweeteners may be independent of sweetness, even where this is the main attribute of LES that underpins the reason to design and undertake the study. Depending on the hypothesis, the range of potential “off target” effects may make it inappropriate to aggregate LES studies together and assume or test for a class effect.
Place New Research in the Context of the Totality of Evidence
New or different types of research will have differing contributions to the overall totality of evidence and should be viewed within this context (37). The impartial and balanced representation and dissemination of the evidence base can, however, be undermined by selective citation and citation distortion (citation bias and amplification) in biomedical research (38, 39). These practices include systematically ignoring data conflicting with prior beliefs, conveying hypothesis as fact, and preferential reference to statistically significant versus “neutral” outcomes (or vice versa).
Reporting of research on LES is not immune to these issues. An extreme example is the pattern of citations to Suez et al. (29), who proposed that consumption of intense sweeteners may alter the intestinal microbiota, leading to adverse effects on glucose tolerance. As of November 2019 that publication had been cited >1000 times, usually to highlight this as a potential or even confirmed risk of LES (2, 4, 40). In contrast, a 2013 systematic review of controlled human trials of LES effects on markers of glycemic control (41), with a differing conclusion, had been cited only 5 times. Similarly, reviews of the LES-microbiota-glycemia hypothesis [e.g., (42)] may also make little or no reference at all to the primary research articles and reviews of controlled human trials that have specifically tested sustained exposure to LES on glycemic control (32, 43, 44), nor the regulatory and safety reviews where these outcomes have been considered in depth for specific sweeteners (18, 45–49).
The choice of this example is not to question the results of Suez et al. (29) or whether LES affect microbiota or glycemic control. It is simply to illustrate where new research with provocative results needs to be placed in the context of the totality of prior evidence. In this case, the record of citations indicates a pattern of giving disproportionate weight to hypothesized adverse effects, relative to a large body of empirical evidence to the contrary (18). In other cases, hypothesized effects of LES are simply assumed, with seemingly no apparent need to consider the evidence at all. For example, a common argument against the use of LES as an approach to reduce sugar intakes rests on the view that sweetness exposure “drives” sweetness preferences. This idea is plausible and commonly expressed, and even appears in relatively high-level policy documents (50). Yet, there seems to be little objective support for this view, and possibly even more evidence favoring the alternative that sweetness exposure satisfies (rather than drives) preferences (21).
The persistent failure to present and consider research in the context of the totality of prior evidence risks uncritically (re-)generating and sustaining hypotheses without adequately acknowledging where these have previously been robustly tested and perhaps rejected [see (51)]. From recent headlines, commentaries, and narrative reviews, nonexperts might be forgiven for being unaware that LES had been the subject of a substantial number of randomized controlled (intervention) trials (RCTs) and systematic reviews and meta-analyses of these. As a general principle, it is poor practice for professional articles to cite selected in vitro, animal, and observational studies as the primary evidence for putative effects of LES, without balanced reference to the large corpus of human trials and safety assessments where the same markers and outcomes have been considered (45–49). When the totality of information is considered, a very different picture may emerge. For example, animal data are often used to underpin the view that LES may lead to disordered appetite and weight gain. However, in our systematic review of human and animal studies of LES and body weight (8), we identified 90 relevant animal studies of which only a small minority (mostly from 1 research group) reported increased body weight. The corresponding human RCT data also showed beneficial effects on energy intake and body weight. The impact of selective citation is reflected in the view of some members of a recent expert stakeholder panel that additional LES intervention trials for weight-control outcomes were mainly needed “due to public perception and some vocal opposition” (11).
Acknowledge the Limitations of Observational and Animal Data
Even articles critical of LES acknowledge that there are many discrepancies between the adverse health impacts hypothesized by some animal and human observational studies, in contrast to more often neutral or beneficial effects usually seen in human intervention trials (52). Differences in the weighting given to evidence from these different research designs contribute toward differing views of the perceived risks and benefits of LES. Although there are limitations to the suitability and interpretation of RCT data for certain research questions (37), there is a need for particular caution in selective use and extrapolation from observational and animal data. This can be illustrated by the interpretation of research on the relation between water intake and body weight, as an analogy to research on LES.
Water is a zero-energy food and beverage ingredient, widely recommended as a preferred beverage choice in the context of obesity, despite inconsistent evidence around its influence on weight management (53). Systematic reviews and meta-analyses of observational data on water consumption in relation to weight management have reported limited evidence of benefits, and even significant adverse associations of water consumption with body-weight outcomes in children and adolescents (54, 55). Other analyses have found that water consumption was positively associated with all-cause mortality (56). The plausibility of adverse effects of water consumption on weight control could be further supported by reference to a considerable volume of animal research. It has long been known that greater water intake is positively correlated with greater food intake in animals (57), and greater weight gain with the addition of water to the diet has been reported in experiments with several species (58–63).
This example shows the ease with which selective, uncritical reference to observational and animal research could be used to underpin an apparently compelling but intentionally absurd narrative. In the case of water, adverse effects suggested by the cited observational and animal studies are readily dismissed, despite the absence of a robust body of contrary RCT data. For LES, similar adverse effects suggested by observational and animal data are given much more weight as a basis for causal inferences, even where there are substantial RCT data to the contrary. There may be very valid reasons for this, but animal studies may lack generalizability (27, 64), and the limitations of observational studies and risk of assuming causation from association are well known (65, 66). In the observational studies of water and body weight, confounding and reverse causality are readily invoked and accepted as reasons to conclude that the observed relations are spurious (54, 56, 67). Similar concerns have repeatedly been raised regarding interpretation of epidemiological associations of body weight and metabolic health with LES (3, 13, 68). LES may be disproportionately used in place of sugar by individuals with a pre-existing history or elevated risk of weight gain or diabetes, and this caveat is often highlighted in the original articles [e.g., (69)]. Moreover, in the case of LES, the likelihood that epidemiological associations are specious is reinforced where the corresponding RCT data for related outcomes consistently indicate neutral or beneficial effects (8, 41). As a result, several authors have expressed doubt about the weight that should be placed on observational (and animal) studies in this area for outcomes where data from sustained RCTs are available (8, 13, 70, 71).
This ultimately comes down to ensuring that the research approach has been appropriately designed to address a specific hypothesis, and that the limitations—including potential for confounding or post hoc use of the same data to answer other research questions—are adequately acknowledged in drawing conclusions. All types of study designs have potential weaknesses, and all can contribute in different ways to the totality of evidence (37). Observational and animal research on LES can generate hypotheses and address questions that cannot be directly tested in humans, such as longer-term disease outcomes and toxicology, and potential multigenerational effects (26, 27, 72, 73). Nevertheless, such data should be very cautiously interpreted, particularly where they conflict with results from robust RCT.
A Note on Bias: White Hats and Black Hats
Application of the guidance proposed here would improve the quality of communication and discourse on LES, independently of the views or interests of who is delivering the messages. All stakeholders may potentially be guilty of “white hat bias,” the well-intentioned but biased “distortion of information in the service of what may be perceived to be righteous ends” (74). We as authors hold certain views based on our reading of the evidence and our own research (8, 19, 21), and also acknowledge potential conflicts of interest such as funding sources and collaborations. In research on LES, as in other areas of nutrition, the potential for industry-related (“black hat”) bias has been widely discussed. Indeed, Mandrioli et al. (75) recently concluded that reviews of LES and health were biased by sponsorship and financial conflicts of interest, although the risk of bias was mainly relevant to narrative rather than systematic reviews. However, commercial associations are not the only possible source of bias, and the absence of such interests is no assurance of impartiality (39, 74, 76–79). The personal reputation, conference invitations, and travel and research support for “independent” researchers may also benefit from the particular views they take. A continued flow of provocative research results and atmosphere of uncertainty around LES undoubtedly also improve the chances for further funding of research on the topic.
These different biases can influence the design, interpretation, and reporting of research on LES, undermining an impartial and balanced scientific and public consideration of the possible benefits or risks of their use. This places even greater demand on authors and journal editors to ensure the faithful representation and appropriate weighing of evidence. With this in mind, we encourage others, and especially those with differing views, to offer other examples from the current literature that would support further refinement of the recommendations that follow here.
Conclusions and Recommendations
There are significant issues in how the evidence base on LES is generated, interpreted, and communicated by the expert community, with implications for public health, industry, and future research needs. We have discussed a number of these, with examples, to illustrate the need for a more consistent standard of practice in the conceptualization and reporting of both primary research and reviews of that research. These issues also emphasize areas for more careful and critical scrutiny of research publications by wider stakeholders, including research end-users.
Importantly, in relation to public health, LES are not a case where the “precautionary principle” necessarily applies. Where adverse effects of LES exposures are confirmed by evidence-based expert risk assessment, these rightly should be considered in regulatory and public health policies. However, there may also be value gained from the use of LES—for example, as a tool for maintaining the acceptability of foods, beverages, and diets reduced in sugar, facilitating progress towards widely advised goals to reduce sugar intakes (80, 81). In short, there are risks to be considered not just from exposure to LES but also from prematurely advising the public to avoid them.
We believe it should be possible to formulate guidance to address the issues raised here, which can be widely embraced by individual researchers and those involved with the funding, communication, and use of research. Many of our concluding recommendations in Table 1 apply to nutrition research in general, but they have particular relevance to research with LES. We hope that these can be broadly accepted by the expert community, and welcome their further consideration and development.
TABLE 1.
• Research hypotheses should be explicit a priori, and the underlying research question(s) reflected in the choice of exposures, comparators and analyses. |
• The justification and interpretation of primary research studies and their representation in reviews should reflect the stated hypotheses, with particular regard to caloric vs. noncaloric comparators, and potential for extrapolation to LES in general vs. specific LES. |
• Where outcomes are not attributable to energy reduction or perceived sweetness, interpretation relies on the chemical and ADME properties of specific LES. |
• The selection and citation of existing research should fairly represent the balance and weight of different types of evidence, particularly where there are data from RCTs with relevant exposures and populations. |
• Animal research and other studies generating evidence related to safety and toxicology should specifically refer to that literature. |
• Reporting of evidence on health associations with LES from observational studies, including prospective cohort studies, should be clear that these are subject to residual confounding, including reverse causality, and may have been designed to answer a different research question. |
• Hypotheses generated by observational and animal data must be interpreted in relation to the specific exposures, plausible causal pathways, and results of any related human intervention trials. |
ADME, absorption, distribution, metabolism, and excretion; LES, low-energy sweetener(s); RCT, randomized controlled (intervention) trial.
ACKNOWLEDGEMENTS
The authors’ responsibilities were as follows—DJM and PJR: developed the initial concept and outline; DJM, JM, and PJR: all contributed to and are responsible for the writing and final content; and all authors: read and approved the final manuscript.
Notes
Partial support for the preparation and publication of this review came from School of Psychological Science, University of Bristol.
Author disclosures: DJM was previously employed by Unilever, has been involved in a number of (unpaid) activities related to sweeteners with International Life Sciences Institute (ILSI)-Europe, and provided consultancy services for Danone. JM has received funding from Cargill and travel expenses from the International Sweeteners Association and ILSI-Europe. PJR has received funding for research from Sugar Nutrition UK, honoraria from ILSI-Europe, provided consultancy services for Coca-Cola Great Britain, and received speaker's fees and travel expenses from the International Sweeteners Association, the Global Stevia Research Institute, ILSI-Brazil, ILSI-Europe, and ILSI-India. The views expressed here are those of the authors, and not necessarily shared by these other organizations.
Perspective articles allow authors to take a position on a topic of current major importance or controversy in the field of nutrition. As such, these articles could include statements based on author opinions or point of view. Opinions expressed in Perspective articles are those of the author and are not attributable to the funder(s) or the sponsor(s) or the publisher, Editor, or Editorial Board of Advances in Nutrition. Individuals with different positions on the topic of a Perspective are invited to submit their comments in the form of a Perspectives article or in a Letter to the Editor.
Abbreviations used: ADME, absorption, distribution, metabolism, and excretion; LES, low-energy sweetener; RCT, randomized controlled (intervention) trial.
References
- 1. Swithers SE. Artificial sweeteners produce the counterintuitive effect of inducing metabolic derangements. Trends Endocrinol Metab. 2013;24(9):431–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Swithers SE. Not-so-healthy sugar substitutes?. Curr Opin Behav Sci. 2016;9:106–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Gardener H, Elkind MS. Artificial sweeteners, real risks. Stroke. 2019;50:549–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Ebrahimzadeh V, Ardalan MR, Mahdavi AM, Gorbani A. A review of the health hazards of artificial sweeteners: are they safe?. Prog Nutr. 2018;20(Suppl 2):36–43. [Google Scholar]
- 5. Gibson S, Drewnowski A, Hill J, Raben AB, Tuorila H, Widström E. Consensus statement on benefits of low‐calorie sweeteners. Nutr Bull. 2014;39(4):386–9. [Google Scholar]
- 6. Serra-Majem L, Raposo A, Aranceta-Bartrina J, Varela-Moreiras G, Logue C, Laviada H, Socolovsky S, Pérez-Rodrigo C, Aldrete-Velasco JA, Meneses Sierra E. Ibero–American consensus on low- and no-calorie sweeteners: safety, nutritional aspects and benefits in food and beverages. Nutrients. 2018;10(7):818. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Azad MB, Abou-Setta AM, Chauhan BF, Rabbani R, Lys J, Copstein L, Mann A, Jeyaraman MM, Reid AE, Fiander M. Nonnutritive sweeteners and cardiometabolic health: a systematic review and meta-analysis of randomized controlled trials and prospective cohort studies. Can Med Assoc J. 2017;189(28):E929–E39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Rogers P, Hogenkamp P, de Graaf K, Higgs S, Lluch A, Ness A, Penfold C, Perry R, Putz P, Yeomans M. Does low-energy sweetener consumption affect energy intake and body weight? A systematic review, including meta-analyses, of the evidence from human and animal studies. Int J Obes. 2016;40(3):381–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Toews I, Lohner S, de Gaudry DK, Sommer H, Meerpohl JJ. Association between intake of non-sugar sweeteners and health outcomes: systematic review and meta-analyses of randomised and non-randomised controlled trials and observational studies. BMJ. 2019;364:k4718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Buyken A, Mela D, Dussort P, Johnson I, Macdonald I, Stowell J, Brouns F. Dietary carbohydrates: a review of international recommendations and the methods used to derive them. Eur J Clin Nutr. 2018;72:(12):1625–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Bright O-JM, Wang DD, Shams-White M, Bleich SN, Foreyt J, Franz M, Johnson G, Manning BT, Mattes R, Pi-Sunyer X. Research priorities for studies linking intake of low-calorie sweeteners and potentially related health outcomes: research methodology and study design. Curr Dev Nutr. 2017;1(7):e000547. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Glendinning JI. Oral post‐oral actions of low‐calorie sweeteners: a tale of contradictions and controversies. Obesity. 2018;26:S9–S17. [DOI] [PubMed] [Google Scholar]
- 13. Mosdøl A, Vist GE, Svendsen C, Dirven H, Lillegaard ITL, Mathisen GH, Husøy T. Hypotheses and evidence related to intense sweeteners and effects on appetite and body weight changes: a scoping review of reviews. PLoS One. 2018;13(7):e0199558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Sylvetsky AC, Blau JE, Rother KI. Understanding the metabolic and health effects of low-calorie sweeteners: methodological considerations and implications for future research. Rev Endocr Metab Disord. 2016;17(2):187–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Mattes R. Effects of aspartame and sucrose on hunger and energy intake in humans. Physiol Behav. 1990;47(6):1037–44. [DOI] [PubMed] [Google Scholar]
- 16. Ma J, Bellon M, Wishart JM, Young R, Blackshaw LA, Jones KL, Horowitz M, Rayner CK. Effect of the artificial sweetener, sucralose, on gastric emptying and incretin hormone release in healthy subjects. Am J Physiol Gastrointest Liver Physiol. 2009;296(4):G735–G9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Magnuson BA, Carakostas MC, Moore NH, Poulos SP, Renwick AG. Biological fate of low-calorie sweeteners. Nutr Rev. 2016;74(11):670–89. [DOI] [PubMed] [Google Scholar]
- 18. Lobach AR, Roberts A, Rowland IR. Assessing the in vivo data on low/no-calorie sweeteners and the gut microbiota. Food Chem Toxicol. 2018. [DOI] [PubMed] [Google Scholar]
- 19. Rogers PJ. The role of low-calorie sweeteners in the prevention and management of overweight and obesity: evidence v. conjecture. Proc Nutr Soc. 2018;77(3):230–8. [DOI] [PubMed] [Google Scholar]
- 20. Miller PE, Perez V. Low-calorie sweeteners and body weight and composition: a meta-analysis of randomized controlled trials and prospective cohort studies. Am J Clin Nutr. 2014;100(3):765–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Appleton K, Tuorila H, Bertenshaw E, De Graaf C, Mela D. Sweet taste exposure and the subsequent acceptance and preference for sweet taste in the diet: systematic review of the published literature. Am J Clin Nutr. 2018;107(3):405–19. [DOI] [PubMed] [Google Scholar]
- 22. Hunter SR, Reister EJ, Cheon E, Mattes RD. Low calorie sweeteners differ in their physiological effects in humans. Nutrients. 2019;11(11):2717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Cong W-N, Wang R, Cai H, Daimon CM, Scheibye-Knudsen M, Bohr VA, Turkin R, Wood WHIII, Becker KG, Moaddel R. Long-term artificial sweetener acesulfame potassium treatment alters neurometabolic functions in C57BL/6J mice. PLoS One. 2013;8(8):e70257. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Bornemann V, Werness SC, Buslinger L, Schiffman SS. Intestinal metabolism and bioaccumulation of sucralose in adipose tissue in the rat. J Toxicol Environ Health A. 2018;81:913–23. [DOI] [PubMed] [Google Scholar]
- 25. Ruiz-Ojeda FJ, Plaza-Díaz J, Sáez-Lara MJ, Gil A. Effects of sweeteners on the gut microbiota: a review of experimental studies and clinical trials. Adv Nutr. 2019;10(Suppl 1):S31–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Stichelen O-V, Rother KI, Hanover JA. Maternal exposure to non-nutritive sweeteners impacts progeny's metabolism and microbiome. Front Microbiol. 2019;10:1360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Morahan H, Leenaars C, Boakes R, Rooney K. Metabolic and behavioural effects of prenatal exposure to non-nutritive sweeteners: a systematic review and meta-analysis of rodent models. Physiol Behav. 2020;213:doi: 10.1016/j.physbeh.2019.112696.Epub 2019 Oct 21. [DOI] [PubMed] [Google Scholar]
- 28. Uebanso T, Ohnishi A, Kitayama R, Yoshimoto A, Nakahashi M, Shimohata T, Mawatari K, Takahashi A. Effects of low-dose non-caloric sweetener consumption on gut microbiota in mice. Nutrients. 2017;9(6):560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Suez J, Korem T, Zeevi D, Zilberman-Schapira G, Thaiss CA, Maza O, Israeli D, Zmora N, Gilad S, Weinberger A. Artificial sweeteners induce glucose intolerance by altering the gut microbiota. Nature. 2014;514(7521):181–6. [DOI] [PubMed] [Google Scholar]
- 30. Martínez-Carrillo B, Rosales-Gómez C, Ramírez-Durán N, Reséndiz-Albor A, Escoto-Herrera J, Mondragón-Velásquez T, Valdés-Ramos R, Castillo-Cardiel A. Effect of chronic consumption of sweeteners on microbiota and immunity in the small intestine of young mice. Int J Food Sci. 2019;2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Nichol AD, Holle MJ, An R. Glycemic impact of non-nutritive sweeteners: a systematic review and meta-analysis of randomized controlled trials. Eur J Clin Nutr. 2018;72(6):796. [DOI] [PubMed] [Google Scholar]
- 32. Tucker RM, Tan S-Y.. Do non-nutritive sweeteners influence acute glucose homeostasis in humans? A systematic review. Physiol Behav. 2017;182:17–26. [DOI] [PubMed] [Google Scholar]
- 33. Bryant C, Mclaughlin J. Low calorie sweeteners: evidence remains lacking for effects on human gut function. Physiol Behav. 2016;164:482–5. [DOI] [PubMed] [Google Scholar]
- 34. Higgins KA, Mattes RD. A randomized controlled trial contrasting the effects of 4 low-calorie sweeteners and sucrose on body weight in adults with overweight or obesity. Am J Clin Nutr. 2019;109(5):1288–301. [DOI] [PubMed] [Google Scholar]
- 35. Lease H, Hendrie GA, Poelman AA, Delahunty C, Cox DN. A sensory-diet database: a tool to characterise the sensory qualities of diets. Food Qual Pref. 2016;49:20–32. [Google Scholar]
- 36. Martin C, Visalli M, Lange C, Schlich P, Issanchou S. Creation of a food taste database using an in-home “taste” profile method. Food Qual Pref. 2014;36:70–80. [Google Scholar]
- 37. Blumberg J, Heaney RP, Huncharek M, Scholl T, Stampfer M, Vieth R, Weaver CM, Zeisel SH. Evidence-based criteria in the nutritional context. Nutr Rev. 2010;68(8):478–84. [DOI] [PubMed] [Google Scholar]
- 38. Ekmekci PE. An increasing problem in publication ethics: publication bias and editors’ role in avoiding it. Med Health Care Philosophy. 2017;20(2):171–8. [DOI] [PubMed] [Google Scholar]
- 39. Greenberg SA. How citation distortions create unfounded authority: analysis of a citation network. BMJ. 2009;339:b2680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Shearer J, Swithers SE. Artificial sweeteners and metabolic dysregulation: lessons learned from agriculture and the laboratory. Rev Endocr Metab Disord. 2016;17(2):179–86. [DOI] [PubMed] [Google Scholar]
- 41. Behnen EMT, Ferguson MC, Carlson A. Do sugar substitutes have any impact on glycemic control in patients with diabetes?. J Pharm Technol. 2013;29(2):61–5. [Google Scholar]
- 42. Nettleton JE, Reimer RA, Shearer J. Reshaping the gut microbiota: impact of low calorie sweeteners and the link to insulin resistance?. Physiol Behav. 2016;164:488–93. [DOI] [PubMed] [Google Scholar]
- 43. Renwick AG, Molinary SV. Sweet-taste receptors, low-energy sweeteners, glucose absorption and insulin release. Br J Nutr. 2010;104(10):1415–20. [DOI] [PubMed] [Google Scholar]
- 44. Russell WR, Baka A, Björck I, Delzenne N, Gao D, Griffiths HR, Hadjilucas E, Juvonen K, Lahtinen S, Lansink M. Impact of diet composition on blood glucose regulation. Crit Rev Food Sci Nutr. 2016;56(4):541–90. [DOI] [PubMed] [Google Scholar]
- 45. Aguilar F, Charrondiere U, Dusemund B, Galtier P, Gilbert J, Gott D. Scientific opinion on the safety of steviol glycosides for the proposed uses as a food additive. EFSA J. 2010;8:1537. [Google Scholar]
- 46. EFSA Panel on Food Additives and Nutrient Sources Added to Food (ANS). Scie. ntific opinion on the re-evaluation of aspartame (E 951) as a food additive. EFSA J. 2013;11:(12):3946. [Google Scholar]
- 47. Steffensen I-L, Alexander J, Binderup M-L, Dahl KH, Granum B, Hetland RB, Husøy T, Paulsen JE, Thrane V. Risk assessments of cyclamate, saccharin, neohesperidine DC, steviol glycosides and neotame from soft drinks, “saft” and nectar. Eur J Nutr Food Safety. 2015;5(1):72–4. [Google Scholar]
- 48. Grotz VL, Munro IC. An overview of the safety of sucralose. Regul Toxicol Pharmacol. 2009;55(1):1–5. [DOI] [PubMed] [Google Scholar]
- 49. Roberts A. The safety and regulatory process for low calorie sweeteners in the United States. Physiol Behav. 2016;164:439–44. [DOI] [PubMed] [Google Scholar]
- 50. Pan American Health Organization. Pan American Health Organization nutrient profile model. Washington (DC): Pan American Health Organization; 2016. [Google Scholar]
- 51. Tatsioni A, Bonitsis NG, Ioannidis JP. Persistence of contradicted claims in the literature. JAMA. 2007;298(21):2517–26. [DOI] [PubMed] [Google Scholar]
- 52. Sylvetsky AC, Rother KI. Nonnutritive sweeteners in weight management and chronic disease: a review. Obesity. 2018;26(4):635–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Stookey JJ. Negative, null and beneficial effects of drinking water on energy intake, energy expenditure, fat oxidation and weight change in randomized trials: a qualitative review. Nutrients. 2016;8(1):19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Muckelbauer R, Barbosa CL, Mittag T, Burkhardt K, Mikelaishvili N, Müller‐Nordhorn J. Association between water consumption and body weight outcomes in children and adolescents: a systematic review. Obesity. 2014;22(12):2462–75. [DOI] [PubMed] [Google Scholar]
- 55. Muckelbauer R, Sarganas G, Gruneis A, Muller-Nordhorn J. Association between water consumption and body weight outcomes: a systematic review. Am J Clin Nutr. 2013;98(2):282–99. [DOI] [PubMed] [Google Scholar]
- 56. Kant AK, Graubard BI. A prospective study of water intake and subsequent risk of all-cause mortality in a national cohort. Am J Clin Nutr. 2017;105:212–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Strominger JL. The relation between water intake and food intake in normal rats and in rats with hypothalamic hyperphagia. Yale J Biol Med. 1947;19(3):279. [PMC free article] [PubMed] [Google Scholar]
- 58. Kertz AF, Reutzel LF, Mahoney JH. Ad libitum water intake by neonatal calves and its relationship to calf starter intake, weight gain, feces score, and season. J Dairy Sci. 1984;67(12):2964–9. [DOI] [PubMed] [Google Scholar]
- 59. Ramirez I. Feeding a liquid diet increases energy intake, weight gain and body fat in rats. J Nutr. 1987;117(12):2127–34. [DOI] [PubMed] [Google Scholar]
- 60. Ramirez I. Overeating, overweight and obesity induced by an unpreferred diet. Physiol Behav. 1988;43(4):501–6. [DOI] [PubMed] [Google Scholar]
- 61. Tsurim I, Sapir N, Belmaker J, Shanni I, Izhaki I, Wojciechowski MS, Karasov WH, Pinshow B. Drinking water boosts food intake rate, body mass increase and fat accumulation in migratory blackcaps (Sylvia atricapilla). Oecologia. 2008;156(1):21–30. [DOI] [PubMed] [Google Scholar]
- 62. Yasar S. Performance and gastro-intestinal response of broiler chickens fed on cereal grain-based foods soaked in water. Br Poult Sci. 1999;40(1):65–76. [DOI] [PubMed] [Google Scholar]
- 63. Yalda A, Forbes J. Food intake and growth in chickens given food in the wet form with and without access to drinking water. Br Poult Sci. 1995;36(3):357–69. [DOI] [PubMed] [Google Scholar]
- 64. Glendinning JI, Hart SA, Lee H, Maleh J, Ortiz G, Sang Ryu Y, Sanchez A, Shelling S, Williams N. Low calorie sweeteners cause only limited metabolic effects in mice. Am J Physiol Regul Integr Comp Physiol. 2020;318:(1):R70–R80.. doi: 10.1152/ajpregu.00245.2019. [DOI] [PubMed] [Google Scholar]
- 65. Grimes DA, Schulz KF. False alarms and pseudo-epidemics: the limitations of observational epidemiology. Obstet Gynecol. 2012;120(4):920–7. [DOI] [PubMed] [Google Scholar]
- 66. Maki KC, Slavin JL, Rains TM, Kris-Etherton PM. Limitations of observational evidence: implications for evidence-based dietary recommendations. Adv Nutr. 2014;5(1):7–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Wong JM, Ebbeling CB, Robinson L, Feldman HA, Ludwig DS. Effects of advice to drink 8 cups of water per day in adolescents with overweight or obesity: a randomized clinical trial. JAMA Pediatr. 2017;171(5):e170012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Drewnowski A, Rehm C.. The use of low-calorie sweeteners is associated with self-reported prior intent to lose weight in a representative sample of US adults. Nutr Diabetes. 2016;6(3):e202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Huang M, Quddus A, Stinson L, Shikany JM, Howard BV, Kutob RM, Lu B, Manson JE, Eaton CB. Artificially sweetened beverages, sugar-sweetened beverages, plain water, and incident diabetes mellitus in postmenopausal women: the prospective Women's Health Initiative Observational Study. Am J Clin Nutr. 2017;106:614–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Pereira MA. Sugar-sweetened and artificially-sweetened beverages in relation to obesity risk. Adv Nutr. 2014;5(6):797–808. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Sievenpiper JL, Khan TA, Ha V, Viguiliouk E, Auyeung R. The importance of study design in the assessment of nonnutritive sweeteners and cardiometabolic health. CMAJ. 2017;189(46):E1424–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Reid AE, Chauhan BF, Rabbani R, Lys J, Copstein L, Mann A, Abou-Setta AM, Fiander M, MacKay DS, McGavock J. Early exposure to nonnutritive sweeteners and long-term metabolic health: a systematic review. Pediatrics. 2016;137(3):e20153603. [DOI] [PubMed] [Google Scholar]
- 73. Lohner S, Toews I, Meerpohl JJ. Health outcomes of non-nutritive sweeteners: analysis of the research landscape. Nutr J. 2017;16(1):55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Cope MB, Allison DB. White hat bias: examples of its presence in obesity research and a call for renewed commitment to faithfulness in research reporting. Int J Obes. 2010;34(1):84–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Mandrioli D, Kearns CE, Bero LA. Relationship between research outcomes and risk of bias, study sponsorship, and author financial conflicts of interest in reviews of the effects of artificially sweetened beverages on weight outcomes: a systematic review of reviews. PLoS One. 2016;11(9):e0162198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Brown AW, Ioannidis JP, Cope MB, Bier DM, Allison DB. Unscientific beliefs about scientific topics in nutrition. Adv Nutr. 2014;5(5):563–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Young SN. Bias in the research literature and conflict of interest: an issue for publishers, editors, reviewers and authors, and it is not just about the money. J Psychiatry Neurosci. 2009;34(6):412. [PMC free article] [PubMed] [Google Scholar]
- 78. Cain DM, Detsky AS. Everyone's a little bit biased (even physicians). JAMA. 2008;299(24):2893–5. [DOI] [PubMed] [Google Scholar]
- 79. Smith R, Feachem R, Feachem N, Koehlmoos T, Kinlaw H. The fallacy of impartiality: competing interest bias in academic publications. J R Soc Med. 2009;102(2):44–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Drewnowski A, Rehm CD. Consumption of low-calorie sweeteners among US adults is associated with higher Healthy Eating Index (HEI 2005) scores and more physical activity. Nutrients. 2014;6(10):4389–403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Gibson SA, Horgan GW, Francis LE, Gibson AA, Stephen AM. Low calorie beverage consumption is associated with energy and nutrient intakes and diet quality in British adults. Nutrients. 2016;8(1):9. [DOI] [PMC free article] [PubMed] [Google Scholar]