Effectiveness of royal jelly supplementation in glycemic regulation: A systematic review (2024)

Search strategy

We conducted a systematic search of peer-reviewed articles relating to the impact of RJ on glycemic outcomes. A set of keywords were developed by Kamel Omer and Genevieve Newton to yield trials with study variables that are appropriate for the research question. These were subsequently searched in five databases: Cochrane Library, CINAHL Plus, PubMed (via NCBI), Web of Science, and ProQuest. Operator commands were used to yield studies containing at least one keyword for each variable within the title or abstract. A review protocol does not exist for this systematic review.

Selection of articles

Following extraction and compilation of articles from the database results, duplicate studies were electronically removed. Bibliographies of studies were manually scanned to capture relevant studies. Titles and abstracts were manually screened and articles not meeting inclusion criteria were removed. Full text screening was completed for the remaining articles, where studies not meeting the inclusion criteria were removed. This was conducted in duplicate by Kamel Omer and Maxwell J Gelkopf; final decisions were settled by discussion. The resultant articles proceeded to the quality appraisal stage.

Inclusion criteria

(1) Population: Healthy or diabetic human adults or animal models; (2) Intervention: Oral administration of RJ or its constituents; (3) Outcomes assessed: Direct measures of glycemic control or measures pertinent to glycemic control; (4) In vitro studies: Effects of RJ (or constituents) administration were investigated on an outcome directly related to glycemic control; (5) Methodology includes control group for comparison with treatment; and (6) Available in English.

Data extraction

Data on study design, subjects, treatment, and relevant outcomes and results were abstracted for each included study, where applicable, qualitative and quantitative details were added to each of these study variables. For subjects, the extracted number of participants was those that completed the study. Data summaries of each included study were then classified into one of three different tables, depending on study population and intervention style. The classifications are: (1) Acute administration (examining immediate RJ effects) of RJ in human trials; (2) Long-term administration (examining long-term RJ effects) of RJ in human trials; and (3) Long-term administration of RJ in animal trials and in vitro trials.

Risk of bias

For each included human and animal study, the Cochrane Collaboration’s risk of bias assessment tool was used to determine the risk of bias[18]. The tool covers five pre-specified areas of bias: Selection bias (allocation concealment and random sequence generation), performance bias (blinding of participants and researchers), detection bias (blinding of outcome assessment), attrition bias (incomplete outcome data), and reporting bias (selective reporting)[18]. The tool also includes an “other bias” category for other sources of bias that do not fall within these prespecified areas[18]. For each area of bias, the tool provides criteria to rate the study as low, high, or unclear risk of bias. A high risk of bias indicates a high possibility of bias that is likely to impact the study results, while a low risk suggests negligible risk[18]. An unclear risk of bias indicates that insufficient information is provided to determine if results are impacted by bias, but some doubt is raised[18].

Two authors, Kamel Omer and Maxwell J Gelkopf, assessed all included articles to reach a consensus on the risk of bias for each study. Higgins et al[18] provides a detailed guide on the ranking procedure, which was applied by reviewers throughout the risk of bias assessment. Although the tool is designed for human trials, O’Connor and Sargeant[19] developed a modified version for use in risk of bias assessment of animal trials. This modified version was used by the reviewers to guide ranking of risk of bias for the included animal studies. Justification was noted for each judgement, including paraphrases and direct quotes from the article when available.

Quality of evidence

Following determination of the risk of bias for each study, the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) tool was used to rate the overall quality evidence across all included studies for a single outcome[20]. In this review, GRADE was used to assess the quality of evidence for RJ’s capacity to manage blood glucose levels following long-term supplementation of RJ as well as acute effects of RJ administration. The GRADE tool encompasses five domains to determine overall quality: risk of bias, indirectness to research question, imprecision of results, inconsistency between studies and publication bias[20].

To represent the GRADE rating, a summary of findings table was created. Ranking begins at high quality due to the majority of trials being randomized controlled trial but are gradually degraded if serious concern exists in any of the five domains[20]. Ranking can also be upgraded if there is no plausible confounding bias, or if magnitude of effect is large or dose-dependent[20]. The overall ranking is determined by number and magnitude of all downgrades and upgrades[20]. Each of the four possible rankings directly correspond to a certain overall quality of evidence (very low, low, moderate, high)[19]. Ryan and Hill[21] provide criteria for what constitutes a concern in these domains, which was used as a guide for reviewers when determining the GRADE ranking. To factor animal studies in, a modified version of GRADE for animal studies developed by Wei et al[22] was used. Kamel Omer and Genevieve Newton reached a consensus on the GRADE score based on criteria and justification was provided for each decision on the summary of findings table.

Summary measures

To determine effect size and the precision of the quantitative data of the study results, appropriate measures were manually calculated. Standardized mean difference (SMD, also known as Cohen’s d) was calculated as described by Faraone[23] using a pooled standard deviation and sample means of the treatment and placebo group to estimate magnitude of treatment effect. A large effect size constitutes a SMD of > 0.8, while a small effect size is considered to have a SMD of < 0.2; all values in between are medium effect sizes[23]. A negative value indicates that the treatment reduces the parameter being investigated[23]. The SMD was calculated for values taken at the endpoint of the study. For studies with multiple treatment groups, the SMD was calculated for the group with highest dosage. Where numerical values were unavailable, values were interpolated from provided graphs. If values were reported as medians, these were used in place of the mean throughout the effect size calculation. As part of the GRADE evaluation, 95%CIs of SMDs for long-term, hypoglycemic outcomes were calculated to assess imprecision of the effect sizes. For simplicity of evaluation and comparison, SMDs were reported in this review for statistically significant outcomes only.

Study selection

The pre-specified search strategy was conducted on March 21^st, 2018, yielding 168 results. Grey literature databases were searched, but no pertinent articles were found. One study was captured from scanning the bibliographies of collected studies. After removal of duplicates, the total number of unique studies was determined to be 83. These studies went on to the title and abstract screening. Fifty-seven studies were removed due to not meeting the inclusion criteria at this stage. The remaining 26 underwent a full-text screening to determine eligibility. Of these 26, eight were excluded: two because they were not written in English, two for assessing outcomes not related to glycemic control, one because it lacked an oral intervention in treatment groups, one because the study design did not have a control group, one because it lacked an intervention, and one because it did not target the desired population for this review. The resultant 18 articles were included in the systematic literature review for quality of evidence appraisal (Figure ​(Figure11).

See Also

Anti-inflammatory effects of royal jelly on ethylene glycol induced renal inflammation in ratsRoyal Jelly—A Traditional and Natural Remedy for Postmenopausal Symptoms and Aging-Related PathologiesSix things you didn’t know about Royal JellyRoyal Jelly 1 Kilo - 2.2 lbs.

Open in a separate window

Figure 1

Flow diagram summarizing study selection process.

Study characteristics

Following the systematic search, study characteristics, including intervention style, length, participants and results were manually extracted and summarized into the Tables ​Tables1,1, ​,22 and ​and33[24-36].

Risk of bias within studies

For human trials, the pre-specified areas of bias are generally low risk. The biggest source of concern for bias stems from the lack of transparency of measures taken to prevent a given area of bias. This was particularly evident in the allocation concealment category, as evidenced by the high proportion of human trials at high or unclear risk in that category (Figure ​(Figure2).2). Moreover, although many studies claimed that participants and personnel were blinded, description of the actual blinding methodology was rarely provided, suggesting that performance and detection bias are considerable concerns among included human studies. The next biggest source of concern for bias is apparent in the “other bias” section-this is largely due to confounding bias arising from the recruitment of participants from a single source (e.g., common hospital). Overall, of the human trials, domains of bias at high risk are relatively few.

Open in a separate window

Figure 2

Risk of bias graph showing proportion of bias risk ratings across all included human studies.

Across the animal studies, the risk of bias is a notably bigger concern. One hundred percent of the studies are considered high risk of detection bias (i.e., group allocations known to outcome assessors), potentially due to blinding being uncommon in animal studies (Figure ​(Figure3).3). Attrition bias is another serious concern across the animal studies; most included animal studies excluded some individual subjects from analysis without any explanation. Performance and selection bias, however, are well accounted for in the included animal studies, with nearly 100% of both domains at low risk. Like human trials, reporting bias is not a serious concern in the animal trials (Figure ​(Figure44).

Open in a separate window

Figure 3

Risk of bias graph showing proportion of bias risk ratings across all included animal studies.

Open in a separate window

Figure 4

Risk of bias summary: Judgements about each risk of bias item for all included in vivo studies.

Overall quality of evidence

The quality of evidence was evaluated as per the GRADE criteria with results shown in Tables ​Tables44 and ​and5.5. This evaluation integrated study results with risk of bias across all studies included in this review.

Effectiveness

Direct measures of glycemic control (FBG, glucose clearance rate, insulin levels) appear to be appreciably impacted by RJ administration. Most of the included studies which examined FBG and rate of glucose clearance observed significant change from baseline due to oral supplementation of RJ. Of these results, the majority had large effect size estimates, substantiating the role of the intervention in the observations. Most of the studies investigating insulin levels also reported a beneficial effect. Furthermore, in studies with multiple experimental groups, a dose-response relationship was observed in plasma insulin levels and rate of glucose clearance, but not FBG levels. Abnormal regulation of these parameters give rise to other secondary conditions associated with T2D, such as high levels of HbA1c.

The beneficial effect of RJ supplementation was demonstrated by improved indirect measures of glycemic control. These indirect measures are precursors (e.g., high circulating fat) or indicators (e.g., HbA1c) of hyperglycemia. The effectiveness of RJ administration in improving these parameters was not as apparent, as there was no clear trend in outcome responses to RJ treatment. However, when significant changes were detected in the experimental group, these results mostly had large effect magnitude estimates. The inconsistency between observed effects may be due to heterogeneity among the included studies.

The wide range of supplementation forms included in the evidence may explain some of the observed inconsistency between results. For example, many studies used lyophilized RJ, which is known to be chemically different and less bioactive compared to fresh RJ[27,37]. Numerous clinical trials used enteric coated capsules to deliver RJ, which is known to alter pharmacodynamic properties of compounds[38]. Some animal and human studies added the supplementation to meals, which may affect effectiveness due to food-drug interactions[39]. When similar populations were studied, some outcomes showed reduced, negated or contradictory effects in response to RJ as compared to 10H2DA and vice versa, such as between Yoshida et al[36] and Watadani et al[35]. This circ*mstance indicates the possibility of RJ constituents having interactions amplifying or diminishing effectiveness of certain glycemic outcomes.

Due to the different investigation types and subjects across the included studies, it is important to contextualize the effectiveness for the different populations. The largest improvements to blood glucose were observed in diabetic models, both human and animals. Healthy (human) models had some improvements in blood-glucose parameters; however, for most normal blood-glucose parameters, there is a limit on the possible difference from baseline. Only one in vitro was included and was used in this review primarily to elucidate mechanisms and support the in vivo results. Thus, the effectiveness of RJ as a glycemic regulator was determined through the lens of diabetic human patients, with the other populations used to support the findings.

Mostly displayed in the rodent trials, there was a marked difference on effectiveness of RJ administration between studies that investigated the effects of RJ between genders, with greater efficacy seen in males. The divergent effects may potentially be due to the estrogenic activity of compounds derived from RJ, particularly 10H2DA and a sterol, 24-methylenecholesterol[11]. These have weak affinity for estrogen receptors that induce changes in gene expression[11]. Because these compounds would compete with endogenous estrogen for receptor binding, RJ may not be effective in individuals with elevated estrogen levels (i.e., premenopausal females). Correspondingly, estrogen perfusion has previously been linked to improved hyperglycemic symptoms in postmenopausal females and males, which is consistent with the evidence in this review[40,41].

Although very few participants in the included study reported undesirable effects of RJ consumption, potential adverse effects in humans are an important factor in their feasibility as a glycemic regulator. One case report found an association between haemorrhagic colitis and daily RJ intake, which had never been documented previously[42]. Bronchospasm and anaphylaxis have also been noted in individual cases[43,44]. The aforementioned cases are possibly due to allergic reactions to RJ proteins[42,43,44]. Harmful RJ-drug interactions should be considered; consuming RJ while taking warfarin has been associated with hematuria[45].

Regulation of glycemic control by 10H2DA

In a normal state, intracellular protein-protein interactions arising from insulin binding to its surface receptor are critical to blood glucose regulation[46,47]. One major result of the signaling cascade induced by insulin on various tissue types is the translocation of the GLUT4 glucose transporter to the cell surface, which works to import glucose into the cell[46]. The insulin-dependent pathway also modifies gene expression and protein activity such as those involved in glycogen breakdown[46]. Insulin receptor substrate (IRS) proteins are key intermediates in the pathway[47]. With elevated levels of circulating fatty acids as in diabetic individuals, phosphorylation of IRS proteins is inhibited via activation of protein kinase C (PKC)[47,48]. As a result of decreased sensitivity to insulin, the cellular responses involved in regulating blood glucose are impaired, leading to hyperglycemia[48].

Intracellular AMPK, which induces similar glycemic responses to insulin in a non-insulin dependent pathway, has been observed to be activated by 10H2DA, the fatty acid derived from RJ that is thought to underlie its glycemic effects[7,49]. Takikawa et al[7] found AMPK to be activated by 10H2DA via activation of CaMKKβ (calcium/calmodulin-dependent protein kinase kinase beta). In skeletal muscle, pathways mediated by AMPK have been observed to increase GLUT4 gene expression and translocation[7,50]. In addition to this, AMPK-mediated regulation of GLUT4 has been observed to improve insulin-stimulated GLUT4 regulation, thus potentially improving response (sensitivity) of insulin receptors bound to ligand[51]. Moreover, activated AMPK in adipocytes and skeletal muscle are also responsible for enhancing enzymes involved in fatty acid oxidation, thus potentially leading to a decrease in body weight and circulating fatty acids[36]. Finally, in Yoshida et al[36], increased levels of AMPK following oral administration in mice appeared to stunt activity of glucose-6-phosphatase in hepatocytes, thus suggesting that the kinase can also regulate gluconeogenesis (and therefore glucose export) independently of insulin. By activating an enzyme that works to increase cellular energy levels in the cell, 10H2DA from RJ may mediate the desired hypoglycemic effects in diabetic subjects.

In the hypothalamus, AMPK plays an important regulatory role in food intake[52]. When activated, a signaling cascade that leads to increased energy intake is initiated[53]. Downstream of this cascade, mammalian target of rapamycin (mTOR) signaling is known to play a direct and important role[52]. However, in the presence of 10H2DA, mTOR activity has been observed to be decreased in vitro, resulting in decreased energy intake in hypothalamic cells[10,53]. The beneficial effect of RJ on food intake and body weight is observed in Pourmoradian et al[13], where both parameters were significantly decreased in diabetic female subjects. Following a decrease in macronutrient intake, there is a decrease in fatty acid synthesis and circulating lipids, leading to a decrease in activation of PKC. Thus, RJ’s possible action to decrease body weight and food intake is a mechanism that adds to its beneficial effects on glycemic regulation.

As previously mentioned, rodent studies showed a difference between effectiveness of RJ as administered to males compared to females. Fatty acids and sterols in RJ putatively have weak affinity for estrogen receptors, which when activated principally affect gene expression[11,54]. In addition to affecting transcriptional and translational activity that may regulate glycemic activity, estrogen receptors are able to induce activation of AMPK intracellularly[54]. Moreover, activated estrogen receptors in skeletal muscle have been shown to amplify GLUT4 translocation[54]. In the hypothalamus, estrogen suppresses energy intake through mechanisms not fully understood[54]. Thus, in accord with the evidence collected in this systematic review, activation of estrogen receptors in the body work to increase energy expenditure and decrease energy intake[54].

Study limitations

Generally, the principal limitation within the included evidence is the wide range of intervention methodology between the included studies. Although this heterogeneity provides data on the various ways to supplement RJ orally (e.g., prandial), there may not be sufficient evidence for one particular intervention method, including duration and dosage of supplementation, to be adopted by health care providers or researchers. As previously described, this variation in intervention methodology also likely contributes to the inconsistency across study results. Moreover, outcomes associated with different interventions at times contradict each other-Watadani et al[35] observed significantly increased expression of G6Pase in liver cells following 10H2DA administration, while Yoshida et al[36] observed significantly decreased expression of G6Pase in liver cells following RJ administration. The source of RJ also differs between studies, which is a potential confounder of the evidence, as the chemical composition of RJ is known to differ between time of year, honeybee age, and geographic location[55].Thus, the inconsistency across intervention methods and resultant outcomes is a notable limitation of the overall evidence.

Across human studies, limitations exist largely due to the study populations. Although most of the clinical trials included a balance of male and females, few studies examined exclusively females, and none examined males exclusively. Considering RJ’s potential estrogenic activity, a comparison of effects on male and female populations might have provided clearer evidence on the effectiveness of RJ as treatment for diabetes. Notably, the animal studies, which examined exclusively either male or female rodents, displayed differential responses to similar treatment between sexes. Similarly, the age ranges of included subjects in the included trials were relatively wide; inclusion criteria based on tighter ranges (e.g., younger adults, menopausal women) might have determined if certain groups are more affected by the treatment than others, once again potentially due to RJ’s activation of estrogen receptors. Moreover, the exclusion and inclusion criteria of the clinical trials affect the generalizability of RJ as treatment for diabetes: For example, many studies excluded individuals who had not taken glucose-lowering medications, or those who had diabetes for a certain length of time. Information on quality of participant dietary patterns and management of diabetes were rarely provided in the included studies but have a large impact on the effect of a supplement such as RJ. These factors are all important when considering the external validity of the synthesized evidence for clinical application.

The main limitation associated with animal studies is the physiological variability between animals and humans. Rodent studies, which comprise a considerable portion of the evidence, are good models of T2D in humans, but lack key pathologies in the disease, including pathologies found in pancreatic islets, the secretion site of insulin[8]. Moreover, when investigating the effects of an oral agent such as RJ, bioavailability is critical: absorption, distribution and metabolism of nutrients such as fatty acids found in RJ may vary between rodents and humans[16]. Our preliminary research indicates that bioavailability and metabolism of RJ in human models has not yet been established, so the enhanced response of RJ observed in animal trials may not be applicable to human patients.

Another limitation stems from the similarity between aspects of some studies. A considerable number of the included studies share the same authors, such as Pourmoradian et al[13], Pourmoradian et al[30], Mobasseri et al[28], and Mobasseri et al[25]. As a result, there is noteworthy overlap in the methodology of these studies, although different outcomes are assessed in each. In maintaining very similar study population and methodology, there is the potential for similar undetected bias to affect the results of these studies. Because it presents the risk of the overall evidence misrepresenting RJ’s true effect, overlapping methodology between studies is an important factor to consider when interpreting the evidence.

Review limitations

The evidence synthesized in this review relied completely on the included studies, which may be unrepresentative of RJ’s true effect on the probed outcomes. The exclusion of non-English studies may have removed a considerable number of studies; this is a concern particularly for this topic because almost all the included studies have non-English speaking origins. Also, despite having known insulin-like properties and thus potentially a role in glycemic regulation, no studies on RJ proteins were included in this review[56]. Lastly, while this review focused on RJ as a dietary supplement, other forms of administration (e.g., topical) may improve effectiveness or bioavailability.

In conclusion, RJ supplementation presents promising potential for treatment of glycemic T2D symptoms. The evidence synthesized in this review complements existing research that demonstrates other therapeutic effects of RJ administration in T2D symptoms, such as oxidative stress, impaired wound-healing and inflammation[32,57,58]. Future studies should examine the pharmacodynamic properties of RJ, particularly with respect to dosage forms, effectiveness and bioavailability in different populations to further elucidate the effectiveness of RJ as a therapeutic agent of hyperglycemia.

Research background

Existing evidence suggests that royal jelly (RJ) is a promising therapeutic option in hyperglycemic cases. Few studies have specifically examined the clinical viability of RJ as treatment, and no study has critically analyzed the existing evidence. Knowledge of the factors that influence effectiveness of RJ intake provides an alternative treatment for hyperglycemia, which is often associated with diabetes.

Research motivation

This systematic review demonstrated that the intervention style (e.g., length of supplementation, ingestion form) as well as pre-existing patient characteristics may be important factors in its effectiveness, and future research should further investigate these factors to inform patients and health care providers.

Research objectives

This review sought to examine whether there is support for RJ as a glycemic regulator in models of type 2 diabetes as well as healthy individuals. Our analysis found that the existing evidence suggests that RJ is a promising therapeutic option in hyperglycemic cases, with effective doses as low as 1000 mg of fresh RJ daily for diabetic patients.

Research methods

This was a systematic review employing the PRISMA strategy. Five databases were searched using keywords pertinent to the research objectives. Two reviewers conducted full-text screening to select included articles that met eligibility criteria. Relevant information (i.e., intervention style, results, participant characteristics) was extracted from the included articles. Risk of bias was assessed by two reviewers. GRADE, a novel tool developed by Cochrane used to assess overall quality of evidence, was also determined by two reviewers.

Research results

Effective doses of RJ may be as low as 1000 mg of fresh RJ for a diabetic patient. Overall, the quality of evidence for RJ as a treatment is low for long-term effectiveness, and very low for acute effects of RJ consumption.

Research conclusions

Synthesis and analysis of existing studies shows that RJ may be viable as part of a treatment plan in lowering blood sugar. Due to the heterogeneity in studied population and intervention, RJ may have more pronounced effects in certain dosage forms (e.g., fresh RJ) and in certain populations (e.g., postmenopausal females). This information may be useful for individuals and health care practitioners wishing to explore hyperglycemia treatment options.

Research perspectives

Future clinical trials should consider the potential effects of intervention form and length, as well as the effect of participant characteristics to clarify which patient populations or conditions would benefit most from RJ supplementation.

Conflict-of-interest statement: The authors declare no conflict of interest.

PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 checklist.

Manuscript source: Unsolicited manuscript

Peer-review started: November 15, 2018

First decision: November 29, 2018

Article in press: February 12, 2019

Specialty type: Endocrinology and metabolism

Country of origin: Canada

Peer-review report classification

Grade A (Excellent): 0

Grade B (Very good): 0

Grade C (Good): C

Grade D (Fair): 0

Grade E (Poor): 0

P- Reviewer: Koch TR S- Editor: Ji FF L- Editor: A E- Editor: Song H

1. Chen L, Magliano DJ, Zimmet PZ. The worldwide epidemiology of type 2 diabetes mellitus--present and future perspectives. Nat Rev Endocrinol. 2011;8:228–236. [PubMed] [Google Scholar]

2. Zimmet P, Alberti KG, Shaw J. Global and societal implications of the diabetes epidemic. Nature. 2001;414:782–787. [PubMed] [Google Scholar]

3. Vijan S. In the clinic. Type 2 diabetes. Ann Intern Med. 2010;152:ITC31–15; quiz ITC316. [PubMed] [Google Scholar]

4. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27:1047–1053. [PubMed] [Google Scholar]

5. Reusch JE, Manson JE. Management of Type 2 Diabetes in 2017: Getting to Goal. JAMA. 2017;317:1015–1016. [PMC free article] [PubMed] [Google Scholar]

6. Khunti K, Bodicoat DH, Davies MJ. Type 2 diabetes: lifetime risk of advancing from prediabetes. Lancet Diabetes Endocrinol. 2016;4:5–6. [PubMed] [Google Scholar]

7. Takikawa M, Kumagai A, Hirata H, Soga M, Yamash*ta Y, Ueda M, Ashida H, Tsuda T. 10-Hydroxy-2-decenoic acid, a unique medium-chain fatty acid, activates 5'-AMP-activated protein kinase in L6 myotubes and mice. Mol Nutr Food Res. 2013;57:1794–1802. [PubMed] [Google Scholar]

8. Tundis R, Loizzo MR, Menichini F. Natural products as alpha-amylase and alpha-glucosidase inhibitors and their hypoglycaemic potential in the treatment of diabetes: an update. Mini Rev Med Chem. 2010;10:315–331. [PubMed] [Google Scholar]

9. Chen C, Chen SY. Changes in protein components and storage stability of royal jelly under various conditions. Food Chem. 1995;54:195–200. [Google Scholar]

10. Honda Y, Fujita Y, Maruyama H, Araki Y, Ichihara K, Sato A, Kojima T, Tanaka M, Nozawa Y, Ito M, Honda S. Lifespan-extending effects of royal jelly and its related substances on the nematode Caenorhabditis elegans. PLoS One. 2011;6:e23527. [PMC free article] [PubMed] [Google Scholar]

11. Suzuki KM, Isohama Y, Maruyama H, Yamada Y, Narita Y, Ohta S, Araki Y, Miyata T, Mishima S. Estrogenic activities of Fatty acids and a sterol isolated from royal jelly. Evid Based Complement Alternat Med. 2008;5:295–302. [PMC free article] [PubMed] [Google Scholar]

12. Khoshpey B, Djazayeri S, Amiri F, Malek M, Hosseini AF, Hosseini S, Shidfar S, Shidfar F. Effect of Royal Jelly Intake on Serum Glucose, Apolipoprotein A-I (ApoA-I), Apolipoprotein B (ApoB) and ApoB/ApoA-I Ratios in Patients with Type 2 Diabetes: A Randomized, Double-Blind Clinical Trial Study. Can J Diabetes. 2016;40:324–328. [PubMed] [Google Scholar]

13. Pourmoradian S, Mahdavi R, Mobasseri M, Faramarzi E, Mobasseri M. Effects of royal jelly supplementation on body weight and dietary intake in type 2 diabetic females. Health Promot Perspect. 2012;2:231–235. [PMC free article] [PubMed] [Google Scholar]

14. Ghanbari E, Nejati V, Khazaei M. Improvement in Serum Biochemical Alterations and Oxidative Stress of Liver and Pancreas following Use of Royal Jelly in Streptozotocin-Induced Diabetic Rats. Cell J. 2016;18:362–370. [PMC free article] [PubMed] [Google Scholar]

15. Zamami Y, Takatori S, Goda M, Koyama T, Iwatani Y, Jin X, Takai-Doi S, Kawasaki H. Royal jelly ameliorates insulin resistance in fructose-drinking rats. Biol Pharm Bull. 2008;31:2103–2107. [PubMed] [Google Scholar]

16. Baker DH. Animal models in nutrition research. J Nutr. 2008;138:391–396. [PubMed] [Google Scholar]

17. Moher D, Liberati A, Tetzlaff J, Altman DG PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097. [PMC free article] [PubMed] [Google Scholar]

18. Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, Savovic J, Schulz KF, Weeks L, Sterne JA Cochrane Bias Methods Group; Cochrane Statistical Methods Group. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928. [PMC free article] [PubMed] [Google Scholar]

19. O'Connor AM, Sargeant JM. Critical appraisal of studies using laboratory animal models. ILAR J. 2014;55:405–417. [PubMed] [Google Scholar]

20. Schünemann HJ, Oxman AD, Brozek J, Glasziou P, Jaeschke R, Vist GE, Williams JW, Jr, Kunz R, Craig J, Montori VM, Bossuyt P, Guyatt GH GRADE Working Group. Grading quality of evidence and strength of recommendations for diagnostic tests and strategies. BMJ. 2008;336:1106–1110. [PMC free article] [PubMed] [Google Scholar]

22. Wei D, Tang K, Wang Q, Estill J, Yao L, Wang X, Chen Y, Yang K. The use of GRADE approach in systematic reviews of animal studies. J Evid Based Med. 2016;9:98–104. [PubMed] [Google Scholar]

23. Faraone SV. Interpreting estimates of treatment effects: implications for managed care. P T. 2008;33:700–711. [PMC free article] [PubMed] [Google Scholar]

24. Iaconelli A, Gastaldelli A, Chiellini C, Gniuli D, Favuzzi A, Binnert C, Macé K, Mingrone G. Effect of oral sebacic Acid on postprandial glycemia, insulinemia, and glucose rate of appearance in type 2 diabetes. Diabetes Care. 2010;33:2327–2332. [PMC free article] [PubMed] [Google Scholar]

25. Mobasseri M, Ghiyasvand S, Ostadrahimi A, Ghojazadeh M, Noshad H, Pourmoradian S. Effect of Fresh Royal Jelly Ingestion on Glycemic Response in Patients With Type 2 Diabetes. Iran Red Crescent Med J. 2015;17:e20074. [PMC free article] [PubMed] [Google Scholar]

26. Münstedt K, Bargello M, Hauenschild A. Royal jelly reduces the serum glucose levels in healthy subjects. J Med Food. 2009;12:1170–1172. [PubMed] [Google Scholar]

27. Münstedt K, Böhme M, Hrgovic I, Hauenschild A. An approach to the application of Royal Jelly: Encapsulation of lyophilized Royal Jelly and its effect on glucose metabolism in humans. J Api Product Api Med Sci. 2010;2:29–30. [Google Scholar]

28. Mobasseri M, Pourmoradian S, Mahdavi R, Faramarzi E. Effects of royal jelly supplementation on lipid profile and high-sensitivity c-reactive protein levels in type-2 diabetic women: A pilot study. Curr Top Nutraceutical Res. 2014;12:101–105. [Google Scholar]

29. Morita H, Ikeda T, Kajita K, Fujioka K, Mori I, Okada H, Uno Y, Ishizuka T. Effect of royal jelly ingestion for six months on healthy volunteers. Nutr J. 2012;11:77. [PMC free article] [PubMed] [Google Scholar]

30. Pourmoradian S, Mahdavi R, Mobasseri M, Faramarzi E, Mobasseri M. Effects of royal jelly supplementation on glycemic control and oxidative stress factors in type 2 diabetic female: a randomized clinical trial. Chin J Integr Med. 2014;20:347–352. [PubMed] [Google Scholar]

31. Shidfar F, Jazayeri S, Mousavi SN, Malek M, Hosseini AF, Khoshpey B. Does Supplementation with Royal Jelly Improve Oxidative Stress and Insulin Resistance in Type 2 Diabetic Patients? Iran J Public Health. 2015;44:797–803. [PMC free article] [PubMed] [Google Scholar]

32. Fujii A, Kobayashi S, Kuboyama N, Furukawa Y, Kaneko Y, Ishihama S, Yamamoto H, Tamura T. Augmentation of wound healing by royal jelly (RJ) in streptozotocin-diabetic rats. Jpn J Pharmacol. 1990;53:331–337. [PubMed] [Google Scholar]

33. Membrez M, Chou CJ, Raymond F, Mansourian R, Moser M, Monnard I, Ammon-Zufferey C, Mace K, Mingrone G, Binnert C. Six weeks' sebacic acid supplementation improves fasting plasma glucose, HbA1c and glucose tolerance in db/db mice. Diabetes Obes Metab. 2010;12:1120–1126. [PMC free article] [PubMed] [Google Scholar]

34. Yoneshiro T, Kaede R, Nagaya K, Aoyama J, Saito M, Okamatsu-Ogura Y, Kimura K, Terao A. Royal jelly ameliorates diet-induced obesity and glucose intolerance by promoting brown adipose tissue thermogenesis in mice. Obes Res Clin Pract. 2018;12:127–137. [PubMed] [Google Scholar]

35. Watadani R, Kotoh J, Sasaki D, Someya A, Matsumoto K, Maeda A. 10-Hydroxy-2-decenoic acid, a natural product, improves hyperglycemia and insulin resistance in obese/diabetic KK-Ay mice, but does not prevent obesity. J Vet Med Sci. 2017;79:1596–1602. [PMC free article] [PubMed] [Google Scholar]

36. Yoshida M, Hayashi K, Watadani R, Okano Y, Tanimura K, Kotoh J, Sasaki D, Matsumoto K, Maeda A. Royal jelly improves hyperglycemia in obese/diabetic KK-Ay mice. J Vet Med Sci. 2017;79:299–307. [PMC free article] [PubMed] [Google Scholar]

37. Messia MC, Caboni MF, Marconi E. Storage stability assessment of freeze-dried royal jelly by furosine determination. J Agric Food Chem. 2005;53:4440–4443. [PubMed] [Google Scholar]

38. Maroni A, Moutaharrik S, Zema L, Gazzaniga A. Enteric coatings for colonic drug delivery: state of the art. Expert Opin Drug Deliv. 2017;14:1027–1029. [PubMed] [Google Scholar]

40. Louet JF, LeMay C, Mauvais-Jarvis F. Antidiabetic actions of estrogen: insight from human and genetic mouse models. Curr Atheroscler Rep. 2004;6:180–185. [PubMed] [Google Scholar]

41. Ahmed MA, Hassanein KM. Effects of estrogen on hyperglycemia and liver dysfunction in diabetic male rats. Int J Physiol Pathophysiol Pharmacol. 2012;4:156–166. [PMC free article] [PubMed] [Google Scholar]

42. Yonei Y, Shibagaki K, Tsukada N, Nagasu N, Inagaki Y, Miyamoto K, Suzuki O, Kiryu Y. Case report: haemorrhagic colitis associated with royal jelly intake. J Gastroenterol Hepatol. 1997;12:495–499. [PubMed] [Google Scholar]

43. Laporte JR, Ibáãnez L, Vendrell L, Ballarín E. Bronchospasm induced by royal jelly. Allergy. 1996;51:440. [PubMed] [Google Scholar]

44. Katayama M, Aoki M, Kawana S. Case of anaphylaxis caused by ingestion of royal jelly. J Dermatol. 2008;35:222–224. [PubMed] [Google Scholar]

45. Lee NJ, Fermo JD. Warfarin and royal jelly interaction. Pharmacotherapy. 2006;26:583–586. [PubMed] [Google Scholar]

46. Virkamäki A, Ueki K, Kahn CR. Protein-protein interaction in insulin signaling and the molecular mechanisms of insulin resistance. J Clin Invest. 1999;103:931–943. [PMC free article] [PubMed] [Google Scholar]

47. Morino K, Petersen KF, Shulman GI. Molecular mechanisms of insulin resistance in humans and their potential links with mitochondrial dysfunction. Diabetes. 2006;55 Suppl 2:S9–S15. [PMC free article] [PubMed] [Google Scholar]

48. Boden G, Shulman GI. Free fatty acids in obesity and type 2 diabetes: defining their role in the development of insulin resistance and beta-cell dysfunction. Eur J Clin Invest. 2002;32 Suppl 3:14–23. [PubMed] [Google Scholar]

49. Mihaylova MM, Shaw RJ. The AMPK signalling pathway coordinates cell growth, autophagy and metabolism. Nat Cell Biol. 2011;13:1016–1023. [PMC free article] [PubMed] [Google Scholar]

50. Ojuka EO, Jones TE, Nolte LA, Chen M, Wamhoff BR, Sturek M, Holloszy JO. Regulation of GLUT4 biogenesis in muscle: evidence for involvement of AMPK and Ca(2+) Am J Physiol Endocrinol Metab. 2002;282:E1008–E1013. [PubMed] [Google Scholar]

51. Habegger KM, Hoffman NJ, Ridenour CM, Brozinick JT, Elmendorf JS. AMPK enhances insulin-stimulated GLUT4 regulation via lowering membrane cholesterol. Endocrinology. 2012;153:2130–2141. [PMC free article] [PubMed] [Google Scholar]

52. Minokoshi Y, Shiuchi T, Lee S, Suzuki A, Okamoto S. Role of hypothalamic AMP-kinase in food intake regulation. Nutrition. 2008;24:786–790. [PubMed] [Google Scholar]

53. Anderson KA, Ribar TJ, Lin F, Noeldner PK, Green MF, Muehlbauer MJ, Witters LA, Kemp BE, Means AR. Hypothalamic CaMKK2 contributes to the regulation of energy balance. Cell Metab. 2008;7:377–388. [PubMed] [Google Scholar]

54. Mauvais-Jarvis F, Clegg DJ, Hevener AL. The role of estrogens in control of energy balance and glucose homeostasis. Endocr Rev. 2013;34:309–338. [PMC free article] [PubMed] [Google Scholar]

55. Zheng HQ, Hu FL, Dietemann V. Changes in composition of royal jelly harvested at different times: consequences for quality standards. Apidologie. 2011;42:39–47. [Google Scholar]

56. Kramer KJ, Childs CN, Spiers RD, Jacobs RM. Purification of insulin-like peptides from insect haemolymph and royal jelly. Insect Biochem. 1982;12:91–98. [Google Scholar]

57. El-Nekeety AA, El-Kholy W, Abbas NF, Ebaid A, Amra HA, Abdel-Wahhab MA. Efficacy of royal jelly against the oxidative stress of fumonisin in rats. Toxicon. 2007;50:256–269. [PubMed] [Google Scholar]

58. Kohno K, Okamoto I, Sano O, Arai N, Iwaki K, Ikeda M, Kurimoto M. Royal jelly inhibits the production of proinflammatory cytokines by activated macrophages. Biosci Biotechnol Biochem. 2004;68:138–145. [PubMed] [Google Scholar]