As a serious and long-term metabolic disorder, Type 2 Diabetes mellitus (T2DM), leads to hyperglycemia and dyslipidemia through insulin resistance and even inadequate insulin secretion (DeFronzo, 2009). Postprandial hyperglycemia is an important factor that contributes to impaired glycemic response and progression of T2DM (Woerle et al., 2007). Since the acute effect of impaired glycemic response is notable in the metabolic and hormonal milieu, research on the postprandial period is an attraction for researchers. The postprandial hyperglycemia is related to an elevated risk of cardiovascular diseases and increased levels of hemoglobin A1C (HbA1c) in T2DM (Ceriello et al., 2008, Rizza, 2010, Standl et al., 2011). Thus, diet therapy should focus on reducing postprandial glucose (PPG) peaks during the day for patients with T2DM (Morgan et al., 2012).
Dietary strategies, such as the consumption of complex carbohydrates or low-glycemic index diets, may contribute to improving metabolic health (Raben, 2014); however, it is difficult to keep up for a long time (Brekke et al., 2004). According to the evidence, an adverse association between dairy intake and glycemia (Da Silva et al., 2014, Drehmer et al., 2015) as well as the occurrence of T2DM has been demonstrated (Aune et al., 2013, Díaz-López et al., 2016). Milk and other dairy products, which contain many bioactive compounds and essential nutrients, may play a major role in diminishing the risk of diseases (Lovegrove and Givens, 2016). Therefore, it is better to consider the effect of separated compounds in randomized controlled trials. It seems the intake of dairy proteins in particular whey protein has a protective role in metabolic consequences (Mignone et al., 2015, Pal and Radavelli‐Bagatini, 2013, Zhang et al., 2016). The bovine milk protein contains two different protein types, namely casein (about 80%) and whey (about 20%). However, compared to casein, whey is richer in branched-chain amino acids including isoleucine, leucine, and valine (Hall et al., 2003), which may contribute to major metabolic outcomes. unlike casein, which is passed slowly out of the stomach, whey protein has quick gastric emptying and enters the small intestine, causing further increases in plasma amino acids due to its acidic solubility (Pal and Radavelli‐Bagatini, 2013).
Several randomized controlled trials (RCTs) have been conducted regarding the effects of whey protein on PPG, insulin, and incretin responses with inconsistent findings (Bjørnshave et al., 2018, Frid et al., 2005, Goudarzi and Madadlou, 2013, Jakubowicz et al., 2014, Jakubowicz et al., 2017, King et al., 2018, Tessari et al., 2007, Wu et al., 2016). Some studies have revealed significant reductions in PPG (Frid et al., 2005, Jakubowicz et al., 2017, King et al., 2018, Watson et al., 2019, Wu et al., 2016), increases in plasma insulin (Bjørnshave et al., 2018, Frid et al., 2005, Jakubowicz et al., 2014, Jakubowicz et al., 2017, King et al., 2018, Tessari et al., 2007, Wu et al., 2016), glucagon (Bjørnshave et al., 2018, Tessari et al., 2007), and incretin hormones (total and intact) (Bjørnshave et al., 2018, Frid et al., 2005, Jakubowicz et al., 2014, Jakubowicz et al., 2017, Tessari et al., 2007, Wu et al., 2016), while other studies have found no change in PPG (Tessari et al., 2007), plasma insulin, glucagon, and incretin hormones (Frid et al., 2005, King et al., 2018). Because of the conflicting results and the lack of a meta-analysis on this topic to date, the authors decided to carry out a systematic review and meta-analysis on acute-term RCTs to assess the overall effects of the whey protein on PPG, insulin, and gastric inhibitory polypeptide (GIP) and glucagon‐like peptide‐1 (GLP-1) responses in patients with T2DM.
Materials and Methods
The present systematic review was accomplished according to the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (Moher et al., 2009). The protocol for this systematic review was registered in the International Prospective Register of Systematic Reviews (PROSPERO) database (http://www.crd.york.ac.uk/PROSPERO; registration no.: CRD42018110161).
Search strategy
A systematic search was performed for relevant studies in five major databases PubMed, Scopus, Web of Science, Embase, and Cochrane Library, and manually reviewed lists of published studies and articles in English from 2000 up to 2023 using the following search terms and MeSH terms in titles and abstracts of human studies: (hyperglycemia OR glucose intolerance OR diabetes OR diabetes mellitus) AND (whey OR milk OR dairy OR Whey Proteins)).
Eligibility criteria
Original studies were included in meta-analysis if they were randomized parallel or crossover acute-term trials that investigated the effect of all types of whey protein including isolated form (90-95% protein; contains less lactose and fat), concentrated form (About 70–80% protein; lactose and fat) or hydrolyzed form (variable protein, lactose and fat concentrations) on PPG, insulin and incretins in patients with T2DM. The incremental area under the curve (IAUC)/area under the curve (AUC) of serum glucose levels was considered primary and insulin, GIP ,and GLP-1 were considered secondary outcomes (Brouns et al., 2005). The exclusion criteria were as follows: Non-clinical trial design, no measuring PPG, non-diabetic participants, studies without a control group, prescription of the mixture of whey protein with other nutrients, insufficient data on postprandial glucose, insulin, incretin levels, and study duration. Study selection was performed by two independent authors (Z Salimi, A Mansoori) in a two-step process. First, to identify the eligibility of all found studies, the authors observed the titles and the abstracts. In the second step, the full-text versions of eligible trials in the first screening were independently evaluated for inclusion criteria by Z Salimi and A Mansoori.
Data extraction
Two researchers (Z Salimi and A Mansoori) extracted data from the eligible studies separately. The extracted information was as follows: 1) first author’s name; 2) year of publication; 3) region and country; 4) the number of participants in the intervention and control groups; 5) gender, body mass index, and age of study participants; 6) study characteristics (study design, randomization method, and blindness); 7) reported data of iAUC/AUC for serum level of glucose, insulin, and incretin in the intervention and placebo groups. Any disagreement was resolved by discussion among the authors.
Quality assessment
The quality of the studies was independently evaluated by two of the authors using instructions described in the Handbook of Cochrane for Systematic Reviews and meta-analysis of interventions (Higgins and Green, 2011). Evaluation of each study was performed using the following items: sufficiency of sequence generation, adequacy of allocations concealment, blinding of participants and personnel, selective outcome reporting, defective outcome data, and other possible biases. Cochrane Handbook recommendations indicated that “yes”, “no” and “unclear” items respectively demonstrated low, high, and unknown risk of bias. The overall quality of individual trials was classified into three categories: good (low risk for more than two items), fair (low risk for two items), or weak (low risk for less than two items).
Data analysis
The endpoints were the mean difference and standard deviation of PPG, insulin, GIP, and GLP-1 in the intervention/control group. When the exact value of iAUC/AUC was not mentioned in eligible studies, the authors used reported data in the charts and tables to obtain iAUC/AUC (Brouns et al., 2005). The iAUC of Glucose levels in three studies (Bjørnshave et al., 2018, Jakubowicz et al., 2017, Watson et al., 2019), insulin levels in two studies (Bjørnshave et al., 2018, Jakubowicz et al., 2017), GIP levels in two studies (Bjørnshave et al., 2018, King et al., 2018), and GLP-1 levels in two studies (Bjørnshave et al., 2018, King et al., 2018) were calculated using reported data in the charts of eligible studies. Also, the AUC of Glucose levels in three studies (Frid et al., 2005, Goudarzi and Madadlou, 2013, Wu et al., 2016), insulin levels in four studies (Frid et al., 2005, Goudarzi and Madadlou, 2013, King et al., 2018, Wu et al., 2016), GIP levels in two studies (Frid et al., 2005, Wu et al., 2016), and GLP-1 levels in two studies (Frid et al., 2005, Wu et al., 2016) were calculated using reported data in the tables of these studies. Unit conversion was done in two studies for glucose (mol/l and mg/dl into mmol/l) (Jakubowicz et al., 2013, Tessari et al., 2007) and in four studies for insulin (nmol/l and pmol/l into mU/l) (Bjørnshave et al., 2018, Frid et al., 2005, Goudarzi and Madadlou, 2013, Jakubowicz et al., 2014) and in three studies for GIP (pmol/l into pg/ml) (Bjørnshave et al., 2018, Frid et al., 2005, Tessari et al., 2007).
The pooled estimation of the standard mean difference (SMD) between the whey protein supplementation group and the control group was calculated using a random effect model. Between-study heterogeneity was tested using the χ² test or the same Cochran's Q test and I² and subgroup analyses were also performed to detect sources of heterogeneity (Lau et al., 1997). Sensitivity analysis was performed using the leave -one -study out (one-study removed) approach. Thus, the authors were able to explore the effect of each study on the overall effect size. For an investigation of possible publication bias, the visual funnel plot and Egger’s test was used (Egger et al., 1997).
Results
Literature search
The initial search yielded 1472 potentially relevant citations, to which 127 articles were added following manual search, which was done on initial studies. 392 duplicated articles were removed. Toweny one eligible studies were selected for full-text review based on title and abstract analysis. Eventually, after careful assessment, 10 articles were included in the present systematic review. Reasons for non-admission of the other articles were as follows: not being postprandial (Daly et al., 2014, Flaim et al., 2017, Gaffney et al., 2018), having no control group (Mortensen et al., 2012, Mortensen et al., 2009), prescription of the mixture of whey protein with other nutrients (Ang et al., 2012), participants without T2DM (Akhavan et al., 2010), lack of clarity of blood glucose curve and iAUC/AUC measurement for glucose (King et al., 2018), having unusable results (Almario et al., 2017) and unclear study time (Jakubowicz et al., 2016). The steps of the study selection process are illustrated in Figure 1.
Characteristics of included studies
Ten clinical trial studies included in the meta-analysis involved 271 participants. The largest trial had 22 participants and the smallest trial had 10 participants. Three trials used whey protein isolate (WPI) (Goudarzi and Madadlou, 2013, Tessari et al., 2007, Wu et al., 2016), two studies used whey protein hydrolysate (WPH) (Goudarzi and Madadlou, 2013, King et al., 2018), and three studies used whey protein concentrate (WPC) (Jakubowicz et al., 2013, Jakubowicz et al., 2014, King et al., 2018). Whey protein was consumed in the rest of the trials. The iAUC/AUC of Glucose, insulin, and incretin were assessed ranging from 180 min to 360 min. Ranges of whey protein dose were from 0.1 g/kg body weight to 50 g which was served with meal or pre-meal in the intervention group vs. meal without whey protein in the control group. The characteristics and results of the studies are given in Table 1.
Assessment of risk of bias
The quality of studies was assessed based on the domains of the Cochrane Collaboration’s tool applied, including random sequence generation, allocation concealment, participants and personnel blinding, incomplete outcome data, selective reporting, and other sources of bias. The results were divided into three groups: high, low, and unclear risk of bias. The interpretation of the quality assessment results was as follows: fair (low risk for 2 items), weak (low risk for less than 2 items), or good (low risk for more than 2 items). Among 10 studies investigated in this systematic review, one was classified to have a good quality (Goudarzi and Madadlou, 2013), 3 were considered to have a fair quality (Bjørnshave et al., 2018, Tessari et al., 2007, Wu et al., 2016), and 6 were of rather poor quality (Frid et al., 2005, Jakubowicz et al., 2013, Jakubowicz et al., 2014, Jakubowicz et al., 2017, King et al., 2018, Watson et al., 2019)
Findings from the meta-analysis
The consumption of whey protein compared with control demonstrated a significant reduction in glucose AUC mean (SMD=-1.29, 95% CI: -1.87 to -0.71, P=0.001), and with significant heterogeneity (P for heterogeneity <0.001, I2=85.7%, Figure 2) in the pooled analysis of 9 studies (15 comparisons). According to the Glucose Influence Analysis, the deletion of any of the studies did not change the result of the analysis and they were in a range from -1.40 (95% CI: -2 to -0.79) to -1.19 (95% CI:-1.77 t0 -0.60). The Pooled data of 9 studies (16 comparisons) that reported insulin showed a significant increase in insulin AUC mean in participants who consumed whey protein compared with control (SMD=0.562, 95% CI: 0.303 to 0.822, P<0.001) (P for heterogeneity=0.050, I2=40.0%, Figure 3). Five studies (7 comparisons) described data on GIP AUC pooled data and showed a significant increase in GIP AUC mean in participants who consumed whey protein compared with control (SMD=0.34, 95% CI: 0.07 to 0.62, P=0.013) (P for heterogeneity= 0.81, I2=0.0%, Figure 4). The pooled data of 5 studies (7 comparisons) that reported GLP-1 showed a significant increase in GLP-1 AUC mean in participants who consumed whey protein compared with control (SMD=0.43, 95% CI: 0.15 to 0.72, P=0.003) (P for heterogeneity=0.39, I2=4.7%, Figure 5).
Discussion
The present systematic review and meta-analysis of acute-term RCTs suggested that whey protein consumption significantly decreased PPG and increased post-meal insulin and incretin levels.
The number of acute-term studies published on the effects of whey protein intake on postprandial glycemic responses has increased in recent years. Several human studies have reported that whey protein intake significantly reduced PPG and increased postprandial insulin after food intake (Goudarzi and Madadlou, 2013, Jakubowicz et al., 2013, Jakubowicz et al., 2014, Jakubowicz et al., 2017, King et al., 2018, Wu et al., 2016). Nevertheless, according to the results of the study conducted by Tessari et al, following the ingestion of whey protein and free amino acid and casein amino acids, postprandial insulinemia was higher during whey protein consumption (Tessari et al., 2007). Inversely, PPG levels were lower during free amino acid intake compared with whey protein. Besides, the findings of Frid (Frid et al., 2005) suggested that replacing lean ham and lactose with an equal amount (18·2 g) of whey protein in high GI meals, significantly increased the insulin response but did not have any significant effects on glucose response following the breakfast meal. Furthermore, studies accomplished by Almario et al. and Bjørnshave et al showed similar results in PPG and insulin response (Almario et al., 2017, Bjørnshave et al., 2018). It is possible that using a low dosage of whey protein because of insufficient increase in post-breakfast circulating insulin to overcome insulin resistance in the post-absorptive state, and also higher levels of insulin resistance after the nocturnal fasting (Plat et al., 1996), were the causes of less-reported PPG after whey protein intake in a breakfast meal.
Studies have also shown that taking whey protein increased GLP-1 (Almario et al., 2017, Jakubowicz et al., 2014, Jakubowicz et al., 2017, Tessari et al., 2007, Wu et al., 2016) and GIP levels (Bjørnshave et al., 2018, Frid et al., 2005, Tessari et al., 2007, Wu et al., 2016). Interestingly, in some studies, whey protein intake did not have a significant effect on postprandial GLP-1 (Bjørnshave et al., 2018, Frid et al., 2005, King et al., 2018) and GIP levels (King et al., 2018). The reason for the discrepancy could be related to the different doses of whey protein. Studies showed that administration of larger doses of whey protein, from 25 to 50 g, significantly increased incretin response (Almario et al., 2017, Jakubowicz et al., 2014, Jakubowicz et al., 2017, Tessari et al., 2007, Wu et al., 2016), whereas administration of smaller doses, from 15 g to 20 g, showed no difference in incretin responses (Bjørnshave et al., 2018, Frid et al., 2005, King et al., 2018).
According to the available evidence, whey protein reduces blood glucose through insulin-dependent and insulin-independent mechanisms (Akhavan et al., 2014). Although not fully determined, whey protein consumption seems to either directly or indirectly increase postprandial insulin (Floyd et al., 1966). Due to rapid digestion and high solubility of whey protein, plasma amino acids specifically leucine, isoleucine, and valine, rapidly increase (Pal and Radavelli‐Bagatini, 2013) and directly induce the insulinotropic/β-cell-stimulating effects (Bosscher et al., 2009). In addition, amino acids and bioactive peptides obtained from gastrointestinal digestion of whey protein stimulate L cell activity enhance their proliferation, and secrete GLP-1 and other incretin hormones (Jakubowicz and Froy, 2013). Also, whey protein may serve as an endogenous inhibitor of dipeptidyl peptidase-4 in the intestine, and as a result, prevent the local GLP-1 degradation after its release from the enteroendocrine cells (Jakubowicz and Froy, 2013, Power-Grant et al., 2015). In addition, whey protein and its digested peptides and amino acids, increase glucose uptake by an enhancement in the Akt phosphorylation in the muscle cells, and finally, the GLUT4 transmission to the plasma membrane. Furthermore, Whey protein intake decreases PPG through an insulin-independent reduction in the speed of gastric emptying (Marathe et al., 2013).
Nevertheless, Smedegaard et al investigated the effect of pre-meal iso-nitrogenous amounts of whey protein isolate and β-lactoglobulin (the main component of whey protein) in T2DM patients on postprandial level of insulin and glucagon that were increased after intake of β-lactoglobulin compared with the whey protein isolate (Smedegaard et al., 2021). Some components of whey protein could stimulate glucagon secretion along with insulin secretion, which should be considered in future studies.