Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-25T19:33:35.988Z Has data issue: false hasContentIssue false

Comparative evaluation of A1A2 and A2A2 cow milk-containing diets on biochemical and histological parameters of Wistar rats

Published online by Cambridge University Press:  11 December 2023

Ravindra Semwal
Affiliation:
Research and Development Centre, Faculty of Biomedical Sciences, Uttarakhand Ayurved University, Harrawala, Dehradun 248001, Uttarakhand, India
Ankit Kumar*
Affiliation:
Research and Development Centre, Faculty of Biomedical Sciences, Uttarakhand Ayurved University, Harrawala, Dehradun 248001, Uttarakhand, India
Ruchi Badoni Semwal
Affiliation:
Department of Chemistry, VSKC Government Postgraduate College, Dakpathar 248125, Dehradun, Uttarakhand, India
Ashutosh Chauhan
Affiliation:
Department of Biotechnology, Faculty of Biomedical Sciences, Uttarakhand Ayurved University, Harrawala, Dehradun 248001, Uttarakhand, India
Sunil Kumar Joshi
Affiliation:
Department of Shalya Tantra, Uttarakhand Ayurved University, Rishikul Campus, Haridwar 249401, Uttarakhand, India
Kumud Upadhyaya
Affiliation:
Department of Pharmaceutical Sciences, Kumaun University, Bhimtal, Nainital, Uttarakhand, India
Monika Shodhi
Affiliation:
Animal Biotechnology Division, ICAR-National Bureau of Animal Genetic Resources, Karnal 132001, Haryana, India
Deepak Kumar Semwal
Affiliation:
Department of Phytochemistry, Faculty of Biomedical Sciences, Uttarakhand Ayurved University, Harrawala, Dehradun 248001, Uttarakhand, India
*
Corresponding author: Deepak Kumar Semwal; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

This Research Communication aims to compare the effect of A1A2 and A2A2 cow milk diets on the biochemical and histological parameters of rats. The rats were divided into four groups and fed with a normal diet, A2 milk powder, A1A2 or A2A2 cow milk diets for 90 d. Blood glucose, kidney function, liver function and lipid profile were examined during the experimental period. The study showed an increase in the body weight of the A1A2 group whereas a slight decrease in the A2A2 group, and blood glucose levels increased from d 0 to day 90 in all experimental groups. However, none of these changes were found to be statistically insignificant (P > 0.05). Moreover, no significant changes were recorded in other parameters (serum glutamic pyruvic transferase and serum glutamic-oxaloacetic transaminase for liver function, bilirubin direct, cholesterol, triglycerides, creatinine and uric acid). The histology of the liver, kidney and pancreas also showed no changes in all groups. Overall, this study revealed no significant difference in the nutritional values of A1A2 and A2A2 milk types and hence equally beneficial for health. Although the present study showed no significant difference in the effect of both milk types in 90 d, further studies might be conducted to evaluate their longer term effects.

Type
Research Article
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of Hannah Dairy Research Foundation

Cow milk is an important source of food and nutrition for people around the world. It contains a wide range of nutrients, including proteins, vitamins, and minerals, that are essential for body health. A1 milk is produced from animals with the β-casein A1A1 genotype and A2 milk is produced from the A2A2 genotype whereas A1A2 heterozygous genotype animals produce milk containing both A1 and A2 β-casein (Şahin and Boztepe, Reference Şahin and Boztepe2023). The A1 and A2 variants of β-casein differ for a point mutation in the amino acid sequence at position 67 where histidine is present in the A1 variant whereas proline is in the A2 variant (Guantario et al., Reference Guantario, Giribaldi, Devirgiliis, Finamore, Colombino, Capucchio, Evangelista, Motta, Zinno, Cirrincione, Antoniazzi, Cavallarin and Roselli2020). It has been reported that the gastrointestinal digestion of A1 and A2 alleles of β-casein showed different impacts on health due to the difference in amino acid sequence in the 67th position. The presence of histidine in the A1 allele of β-casein was found to reduce the protein susceptible to proteolytic cleavage by digestive enzymes and hence produces β-casomorphin-7 (BCM-7) peptide (Brooke-Taylor et al., Reference Brooke-Taylor, Dwyer, Woodford and Kost2017; Guantario et al., Reference Guantario, Giribaldi, Devirgiliis, Finamore, Colombino, Capucchio, Evangelista, Motta, Zinno, Cirrincione, Antoniazzi, Cavallarin and Roselli2020). BCM-7 is a μ-opioid receptor ligand and is widely studied clinically because of its possible role in various human health issues including gastrointestinal problems, cardiovascular disorders/arteriosclerosis, type 1 diabetes mellitus and autism (Elliott et al., Reference Elliott, Harris, Hill, Bibby and Wasmuth1999; Cade et al., Reference Cade, Privette, Fregly, Rowland, Sun, Zele, Wagemaker and Edelstein2000; McLachlan, Reference McLachlan2001; Zoghbi et al., Reference Zoghbi, Trompette, Claustre, El Homsi, Garzon, Jourdan, Scoazec and Plaisancie2006; Semwal et al., Reference Semwal, Joshi, Semwal, Sodhi, Upadhyaya and Semwal2022). On the other hand, the A2 allele of β-casein does not produce BCM-7 due to the presence of proline in the 67th position of its amino acids sequence and hence considered safe as compared to the A1 variant (Sodhi et al., Reference Sodhi, Mukesh, Kataria, Mishra and Joshii2012).

A1A1, A1A2 and A2A2 are the three important genotypes of milk-producing cow breeds worldwide with an average frequency of 0.112, 0.434 and 0.454, respectively for n = 7667 (Nuomin et al., Reference Nuomin, Nguyen, Aodaohu and Nishino2022). A recent study by Şahin and Boztepe (Reference Şahin and Boztepe2023) conducted in Italy also found an average frequency of 0.145, 0.46 and 0.395 of A1A1, A1A2 and A2A2 genotypes, respectively for n = 400. The average frequency of A1 and A2 alleles for the above reports (n = 8067) was recorded to be 0.352 and 0.648, respectively. These data clearly indicate that the share of A1A1 genotype breeds is too low as compared to A1A2 and A2A2 genotypes. It showed that the A1 allele of β-casein found in regular milk mainly comes from the A1A2 genotype and rarely from A1A1 due to the difference in their frequencies. Particularly in the Indian scenario, due to cross breeds of cattle, regular market milk with pure A1 allele is rarely available (Mukesh et al., Reference Mukesh, Swami, Bhakhri, Chaudhary, Sharma, Goyal, Vivek, Dalal, Mohanty, Kataria, Kumari, Niranjan and Sodhi2022). Hence, A1A2 and A2A2 cow milk were compared in the present study in which milk containing both A1 and A2 β-casein was obtained from the A1A2 genotype whereas A2 β-casein from the A2A2 genotype cow.

Nowadays, the increasing aged population is one of the big challenges globally, particularly their diet and healthcare. There are various factors responsible for ageing and dietary deficiency is one of them (Soenen et al., Reference Soenen, Rayner, Jones and Horowitz2016). Within this context, milk consumption is particularly required for the elders, as it contributes to the intake of necessary macro and micronutrients. However, the selection of suitable milk in a diet with ideal protein and fat content is equally important. Hence, the present study is an attempt to compare the dietary effects of A1A2 and A2A2 cow milk on rats using different parameters that are known to involve in cardiovascular, metabolic and gastrointestinal issues.

Material and methods

A complete description of Materials and methods is provided in the online Supplementary File. All procedures were performed according to Control and Supervision of Experiments on Animals (CPCSEA) guidelines and the study was approved by the Institution's Animal Ethics Committee as No. 585/05/A/CPCSEA. Milk samples collected from the Badri and Jersey cows from Dehradun, Uttarakhand were analysed at the ICAR-National Bureau of Animal Genetic Resources (NBAGR), Karnal Haryana for identification of A1/A2 genotypes. After the authentication of A1/A2 genotypes, the milk of Jersey and Badri cows was collected before the onset of the experiment to prepare rat feed. Moreover, a standard A2 milk powder, obtained from the ICAR-National Bureau of Animal Genetic Resources, Karnal (India) as a gift sample, was also used in the study. The collected milk was dried separately using a vacuum rotary evaporator at the temperature of 40°C. The dried milk powder was mixed with the pelleted feed for rodents purchased from the local market that contained maize starch (467.5 g/kg), amino acid mix (140 g/kg), maltodextrin (155 g/kg), sucrose (100 g/kg), cellulose (50 g/kg), soya oil (40 g/kg), mineral mix (35 g/kg), vitamin mix (10 g/kg), choline chloride (2.5 g/kg) and t-butylhydroquinone (0.008 g/kg). A total of 120 g/kg each of A1A2, A2A2 and standard A2 milk powder was added to the market diet to prepare other diets. The diets were prepared by modifying the AIN-93M diet for rodents as described by Reeves (Reference Reeves1997).

The rats were divided into four groups (n = 6 per group): normal diet control, standard A2 supplement, A1A2 supplement and A2A2 supplement. For 90 d the normal control group received the basal pelleted market diet, the standard group received the basal diet plus 120 g/kg of standard A2 milk powder, the A1A2 group received the basal diet 1 plus 120 g/kg A1A2 milk powder and the A2A2 group received the basal diet plus 120 g/kg A2A2 milk powder. Blood samples were collected at day 0, 15, 30, 45, 60, 75 and 90 via retro-orbital plexus under ether anaesthesia. The blood samples were collected in clot activator tubes and fluoride tubes (for glucose test) and left at 4°C for 3 h. Thereafter, the blood samples were centrifuged using Mini Spin Eppendorf, Germany, at 3000 rpm for 10 min to separate the serum (Kumar et al., Reference Kumar, Semwal, Chauhan, Semwal, Chandra, Sircar, Roy and Semwal2022). The isolated serum was used to evaluate blood glucose, liver function (SGPT, SGOT and bilirubin direct), lipid profile (cholesterol and triglycerides) and kidney function (creatinine and uric acid) with the help of Erba Semi Auto Biochemistry Analyzer using Erba diagnostic kits at the Pathology Laboratory, Uttarakhand Ayurved University Hospital, Dehradun, India. The body weight of experimental animals was also measured regularly. Data were entered into Microsoft Excel 2019 and entered into SPSS V21.0 for statistical analysis. The quantitative data of each group were expressed as mean and standard deviation. The variances between-group and within-group were compared by one-way analysis of variance (ANOVA) using F-test. P values were calculated using F distribution calculator and values of P ≤ 0.05 were considered statistically significant.

Results and discussion

Body weight results are in Fig. 1a. Overall, there was relatively little change in body weight during the 90 d of the experiment. This lack of growth may in part be related to the experimental blood sampling protocol and needs to be taken into account when interpreting the data. The standard A2 group increased slightly in body weight (from 80 ± 4.0 to 86 ± 4.8 g as did the A1A2 group (89 ± 4.3 to 106 ± 5.4 g), whereas the body weight of the A2A2 group decreased from 96 ± 5.1 to 88 ± 4.0 g. These changes were not statistically significant (P > 0.05) when compared with the control group. Studies have shown that cow milk consumption can affect the body weight of humans and other animals. The impact of cow milk on body weight can depend on several factors, including the type and amount of milk consumed, as well as the individual's overall diet and lifestyle (Visioli and Strata, Reference Visioli and Strata2014). In some studies, rats fed a high-fat diet supplemented with cow milk or dairy products gained more weight than rats fed a similar diet without dairy. This may be due to the high calorie and fat content of cow milk, as well as its potential effect on appetite and metabolism (Eller and Reimer, Reference Eller and Reimer2010). However, other studies have found that cow milk or dairy products can have a neutral or even reductional effect on body weight. For example, some studies have suggested that consuming low-fat or fat-free milk or dairy products can help to promote or maintain body weight, possibly due to the high protein and calcium content of these foods (Thorning et al., Reference Thorning, Raben, Tholstrup, Soedamah-Muthu, Givens and Astrup2016). It is important to consider the overall quality and nutrient density of the diet, as well as other lifestyle factors such as physical activity and stress management.

Figure 1. Effect of diets supplemented with A2, A1A2 or A2A2 milk powder on body weight (a) and fasting blood glucose levels (b) of rats.

The blood glucose levels are shown in Fig. 1b. They increased from 95.46 ± 6.45 to 104.4 ± 6.09, 87.25 ± 5.87 to 102.1 ± 7.09 and 91.74 ± 6.90 to 98.66 ± 6.04 mg/dl in the standard, A1A2 and A2A2 groups, respectively. The highest changes in the blood glucose levels were noticed in the A1A2 group. However, once again the statistical analysis showed that the changes recorded in blood glucose levels were not significant (P > 0.05) when compared with the initial day as well as with the control group (Fig. 1b). There is a reported statement which supports that the consumption of A1 milk induces diabetes mellitus whereas A2 milk does not affect the level of blood glucose (Elliott et al., Reference Elliott, Harris, Hill, Bibby and Wasmuth1999; Joshi et al., Reference Joshi, Semwal, Kumar, Chauhan and Semwal2021). Earlier studies also suggested that A1 β-casein forms β-casomorphin-7 (BCM-7) peptide on digestion and is responsible for some adverse health effects such as inflammation, indigestion and an increased risk of certain chronic diseases (Semwal et al., Reference Semwal, Joshi, Semwal, Sodhi, Upadhyaya and Semwal2022). Cow milk contains lactose, a type of sugar that can increase blood glucose levels when consumed. However, it also contains protein and fat, which can slow down the absorption of sugar into the bloodstream and may help to prevent spikes in blood glucose levels. Some studies have suggested that consuming cow milk or dairy products may be associated with a lower risk of developing type 2 diabetes, possibly due to the presence of bioactive compounds such as calcium, magnesium, and vitamin D in milk. However, other studies have suggested that excessive consumption of dairy products may be associated with a higher risk of developing diabetes, especially in individuals who are overweight or obese (Kalergis et al., Reference Kalergis, Leung Yinko and Nedelcu2013). It is important to note that the impact of cow milk on fasting blood glucose levels can vary depending on the individual and the specific circumstances. Consumption of moderate amounts of milk is generally not expected to significantly affect fasting blood glucose levels in healthy individuals, but larger amounts may lead to a more significant increase, especially in individuals with lactose intolerance or insulin resistance. In the present study, the average changes in blood glucose levels in both A1A2 and A2A2 groups were found similar and non-significant at the end of the study when compared with the initial day as well as with the control group.

The liver function test data are in Table 1. SGPT levels remained relatively constant throughout, but did increase slightly in the A1A2 and A2A2 groups (from 73.74 ± 3.86 to 83.41 ± 5.32 U/l and from 82.41 ± 4.67 to 90.14 ± 4.75 U/l, respectively). However, the values remained the same in the case of the normal diet and standard A2 diet after 90 d of study. On the other hand, the levels of SGOT in rats were increased by similar amounts in all three supplemented groups with a change ranging from 41 to 47 U/l, a change that was not seen in the basal control diet. Nevrtheless, the results were found to be statistically nonsignificant (P > 0.05) for both SGPT and SGOT. In the case of bilirubin direct levels, a slight increase was noticed in the standard and A2A2 groups whereas a slight decrease was recorded in the A1A2 group. However, this change was found statistically nonsignificant (P > 0.05) when compared with the control group as well as with the initial day (Table 1). Consuming cow milk is not known to have a significant effect on liver function in healthy individuals. However, certain populations, such as those with pre-existing liver disease, may need to be cautious about their cow milk consumption. The present study showed insignificant changes in the levels of SGPT and SGOT as well as in the levels of bilirubin direct in rats of all groups.

Table 1. Effect of different diets on liver function (SGPT/ALT, SGOT/AST and bilirubin direct) and lipid profile (cholesterol and triglycerides) of rats

Cholesterol data are in Table 1. Cholesterol decreased in the basal diet, standard A2 and A2A2 groups whereas a slight increase was noticed in the case of the A1A2 group. In comparison to the control group, the changes in all three supplemented groups were not significant (P > 0.05). Similarly, the changes in triglycerides levels were found statistically nonsignificant in all three groups when compared with values of the initial day as well as with the control group (Table 1). Cow milk consumption can have an effect on lipid profile, which refers to the levels of cholesterol and other fats in the blood. Cow milk is a source of saturated fat, which can increase levels of low-density lipoprotein (LDL) cholesterol (so-called ‘bad’ cholesterol. High levels of LDL cholesterol are associated with an increased risk of heart disease and stroke. However, cow milk also contains unsaturated fats, which can have a positive effect on lipid profile by increasing levels of high-density lipoprotein (HDL) cholesterol (‘good’). HDL cholesterol helps to remove LDL cholesterol from the bloodstream, which can reduce the risk of heart disease and other related conditions. The effect of cow milk on lipid profile can vary depending on the amount consumed, as well as individual factors such as genetics, age, and overall diet. It's also important to note that other factors, such as physical activity, weight management and smoking, can also affect lipid profiles. In general, it's recommended that individuals with high cholesterol or a history of heart disease limit their intake of saturated fats, including those found in cow milk. This can be achieved by choosing low-fat or skim milk instead of whole milk, and by limiting consumption of other high-fat dairy products such as cheese and butter. Cow milk consumption can affect the lipid profile, but the impact can vary depending on individual factors and overall diet (Lordan et al., Reference Lordan, Tsoupras, Mitra and Zabetakis2018). It is also reported that A1 milk consumption can negatively alter the blood lipid profile in comparison to the positive effects of A2 milk, but our data do not provide any support for that view.

The renal function test data are in online Supplementary Table S1. Creatinine levels increased from 0.64 ± 0.12 to 0.88 ± 0.32 mg/dl in the A1A2 group but no changes were recorded in other groups. Uric acid levels increased slightly in the A2A2 group (1.42 ± 0.84 to 1.82 ± 0.27 mg/dl) but decreased from 1.62 ± 1.13 to 1.08 ± 0.45 mg/dl in the A1A2 group. These changes were found statistically nonsignificant when compared with the control group). Cow milk consumption is generally safe for individuals with healthy kidneys and is not known to harm renal function. however, individuals with pre-existing kidney disease or a high risk of developing kidney disease may need to be cautious about their cow milk consumption. This is because cow milk contains protein, which can increase the workload on the kidneys and may be difficult to metabolize in individuals with impaired kidney function (Gopinath et al., Reference Gopinath, Harris, Flood, Burlutsky and Mitchell2016). In this study, the creatinine and uric acid levels of rats were insignificantly changed during the entire experiment. Furthermore, the kidney, liver and pancreas histology of rats did not show any signs of adverse effects (online Supplementary Fig. S1).

In conclusion, all of the changes that we observed in rats in response to different β-casein genotype dietary supplementations were small and non-significant. The data need to be interpreted with caution due to the frequent blood sampling and its possible adverse effects on growth. Nevertheless, our data provide no support for the belief that β-casein A1 and A2 have negative and positive effects, respectively, on health.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0022029923000663

Acknowledgements

The author Ravindra Semwal expresses his gratitude to his current employer, the Department of Technical Education, Govt. of Uttarakhand, for granting him a sabbatical/study leave to pursue a PhD degree. The authors are also thankful to Parvesh Kumari, Technical Officer, Animal Biotechnology Division, ICAR-National Bureau of Animal Genetic Resources, Haryana, India for analysing milk samples.

References

Brooke-Taylor, S, Dwyer, K, Woodford, K and Kost, N (2017) Systematic review of the gastrointestinal effects of A1 compared with A2 beta-casein. Advances in Nutrition 8, 739748.10.3945/an.116.013953CrossRefGoogle ScholarPubMed
Cade, R, Privette, M, Fregly, M, Rowland, N, Sun, Z, Zele, V, Wagemaker, H and Edelstein, C (2000) Autism and schizophrenia: intestinal disorders. Nutritional Neuroscience 3, 5772.CrossRefGoogle ScholarPubMed
Eller, LK and Reimer, RA (2010) Dairy protein attenuates weight gain in obese rats better than whey or casein alone. Obesity 18, 704711.CrossRefGoogle ScholarPubMed
Elliott, RB, Harris, DP, Hill, JP, Bibby, NJ and Wasmuth, HE (1999) Type I (insulin-dependent) diabetes mellitus and cow milk: casein variant consumption. Diabetologia 42, 292296.CrossRefGoogle ScholarPubMed
Gopinath, B, Harris, DC, Flood, VM, Burlutsky, G and Mitchell, P (2016) Associations between dairy food consumption and chronic kidney disease in older adults. Scientific Reports 6, 39532.CrossRefGoogle ScholarPubMed
Guantario, B, Giribaldi, M, Devirgiliis, C, Finamore, A, Colombino, E, Capucchio, MT, Evangelista, R, Motta, V, Zinno, P, Cirrincione, S, Antoniazzi, S, Cavallarin, L and Roselli, M (2020) A comprehensive evaluation of the impact of bovine milk containing different beta-casein profiles on gut health of ageing mice. Nutrients 12, 2147.10.3390/nu12072147CrossRefGoogle ScholarPubMed
Joshi, SK, Semwal, R, Kumar, A, Chauhan, A and Semwal, DK (2021) Indian Cow and A2 beta-casein – a scientific perspective on health benefits. Journal of Conventional Knowledge and Holistic Health 5, 212.CrossRefGoogle Scholar
Kalergis, M, Leung Yinko, SSL and Nedelcu, R (2013) Dairy products and prevention of type 2 diabetes: implications for research and practice. Frontiers in Endocrinology 4, 90.CrossRefGoogle ScholarPubMed
Kumar, A, Semwal, R, Chauhan, A, Semwal, RB, Chandra, S, Sircar, D, Roy, P and Semwal, DK (2022) Evaluation of antidiabetic effect of Cissampelos pareira L. (Menispermaceae) root extract in streptozotocin-nicotinamide-induced diabetic rats via targeting SGLT2 inhibition. Phytomedicine Plus 2, 100374.CrossRefGoogle Scholar
Lordan, R, Tsoupras, A, Mitra, B and Zabetakis, I (2018) Dairy fats and cardiovascular disease: do we really need to be concerned? Foods (basel, Switzerland) 7, 29.Google ScholarPubMed
McLachlan, CN (2001) Beta-casein A1, ischaemic heart disease mortality, and other illnesses. Medical Hypotheses 56, 262272.10.1054/mehy.2000.1265CrossRefGoogle ScholarPubMed
Mukesh, M, Swami, S, Bhakhri, G, Chaudhary, V, Sharma, V, Goyal, N, Vivek, P, Dalal, V, Mohanty, AK, Kataria, RS, Kumari, P, Niranjan, SK and Sodhi, M (2022) Demographic pattern of A1/A2 beta casein variants indicates conservation of A2 type haplotype across native cattle breeds (Bos indicus) of India. 3 Biotech 12, 167.CrossRefGoogle ScholarPubMed
Nuomin, , Nguyen, QD, Aodaohu, and Nishino, N (2022) Frequency of β-casein gene polymorphisms in Jersey Cows in Western Japan. Animals (Basel) 12, 2076.CrossRefGoogle ScholarPubMed
Reeves, PG (1997) Components of the AIN-93 diets as improvements in the AIN-76A diet. Journal of Nutrition 127, 838S841S.CrossRefGoogle ScholarPubMed
Şahin, Ö and Boztepe, S (2023) Assessment of A1 and A2 variants in the CNS2 gene of some cattle breeds by using ACRS-PCR method. Animal Biotechnology 34, 15051513.CrossRefGoogle ScholarPubMed
Semwal, R, Joshi, SK, Semwal, RB, Sodhi, M, Upadhyaya, K and Semwal, DK (2022) Effects of A1 and A2 variants of β-casein on human health – is β-casomorphin-7 truly a harmful peptide in cow milk? Nutrire 47, 8.CrossRefGoogle Scholar
Sodhi, M, Mukesh, M, Kataria, RS, Mishra, BP and Joshii, BK (2012) Milk proteins and human health: A1/A2 milk hypothesis. Indian Journal of Endocrinology and Metabolism 16, 856.CrossRefGoogle ScholarPubMed
Soenen, S, Rayner, CK, Jones, KL and Horowitz, M (2016) The ageing gastrointestinal tract. Current Opinion in Clinical Nutrition and Metabolic Care 19, 1218.CrossRefGoogle ScholarPubMed
Thorning, TK, Raben, A, Tholstrup, T, Soedamah-Muthu, SS, Givens, I and Astrup, A (2016) Milk and dairy products: good or bad for human health? An assessment of the totality of scientific evidence. Food & Nutrition Research 60, 32527.10.3402/fnr.v60.32527CrossRefGoogle ScholarPubMed
Visioli, F and Strata, A (2014) Milk, dairy products, and their functional effects in humans: a narrative review of recent evidence. Advances in Nutrition 5, 131143.10.3945/an.113.005025CrossRefGoogle ScholarPubMed
Zoghbi, S, Trompette, A, Claustre, J, El Homsi, M, Garzon, J, Jourdan, G, Scoazec, JY and Plaisancie, P (2006) Beta-Casomorphin-7 regulates the secretion and expression of gastrointestinal mucins through a mu-opioid pathway. American Journal of Physiology-Gastrointestinal and Liver Physiology 290, G1105G1113.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Effect of diets supplemented with A2, A1A2 or A2A2 milk powder on body weight (a) and fasting blood glucose levels (b) of rats.

Figure 1

Table 1. Effect of different diets on liver function (SGPT/ALT, SGOT/AST and bilirubin direct) and lipid profile (cholesterol and triglycerides) of rats

Supplementary material: File

Semwal et al. supplementary material

Semwal et al. supplementary material
Download Semwal et al. supplementary material(File)
File 196.2 KB