Starch is a carbohydrate that provides much needed energy for day-to-day activities. It is essentially composed of linear amylose involving α-1,4 linked _D-glucopyranosyl units and branched amylopectin which is also interconnected by α-1,6 glycosidic linkages (Zhang et al., 2006a,b; Lehmann and Robin, 2007). The chain length and branching pattern, as well as the amylose to amylopectin ratio, all play a role in digestion efficiency (Zhang et al., 2006a,b).

Starch is generally divided into three different digestibility types: rapidly digestible starch (RDS), slowly digestible starch (SDS), and resistant starch (RS) (Englyst et al., 1992). RS is characterized by the fact that it is unable to be broken down in the small intestine and is therefore passed onto the large intestine. RS is further divided into three different types: physically inaccessible starch (RS₁), resistant starch granules (RS₂), and retrograded amylose (RS₃) (Sajilata et al., 2006). RDS is referred to the starch fraction that is transformed into glucose soon upon ingestion (20 min). RDS is digested and absorbed in the duodenum and proximal regions of the small intestine (Englyst et al., 1992). The rapidly digestible nature of the RDS causes a rapid rise of blood glucose followed by a subsequent hypoglycaemia. On the other hand, SDS is referred to starch that breaks down into glucose over a longer duration (20–120 min; Lehmann and Robin, 2007; Zhang and Hamaker, 2009). The slow release of SDS improves overall blood glucose control as well as providing stable energy to patients with T2D.

While RS is not digested and absorbed by human as energy, it has a positive role against diabetes. Johnston et al. (2010) has discovered that consumption of resistant starch improves insulin sensitivity. It does not affect body weight, fat storage in muscle, liver or visceral depots significantly. Also, it helps managing meal-associated hyperglycaemia (Lehmann and Robin, 2007). This is particularly important for people who are at risk of, or suffering from, T2D.

Slavin (2005) defined dietary fiber as non-digestible carbohydrates and lignin that are derived from plant. It can be further classified into soluble and non-soluble fiber (Slavin, 2003). It has already been known for a while that fiber plays a positive role in glycaemic control (Jenkins et al., 1978; Chandalia et al., 2000). It is recommended that an increase of dietary fiber, particularly the soluble type, should be taken by T2D patients (Wood et al., 1990; Slavin, 2005). It is reasoned that soluble fiber reduces enzyme access to its substrates through viscosity effect. Slavin (2005) has concluded that fiber intake and obesity are inversely correlated, indicating that fiber is an important instrument in starch and cholesterol control.

Starch granule structure is organized in concentric layers with amylopectin as branching polymer and amylose as liner polymer (Gallant et al., 1992; Zhang et al., 2006a). These layers are organized in crystalline structures that form different patterns, resulting in variable enzymatic digestion susceptibility. Note that starch physical structure alone may not necessarily reflect glucose response in the gastrointestinal tract. For an example, physical mixture of starch and protein can influence digestion time (Zhang and Hamaker, 2009). Therefore, partially adding non-starch filler such as protein or fiber, potentially can produce a lower glycaemic response. Like many other nutrients, starch can be modified by other additives (Agama-Acevedo et al., 2012). By adding unripen banana flour into cookies, Agama-Acevedo et al. (2012) have reduced RDS and increased SDS contents. Hence, even if the intrinsic RDS, SDS, and RS ratios of a type of food may give indication of GI responses, it can be influenced by other nutrients present in the meal.

Another carbohydrate to consider is sugar intake. It can often provide rapid energy, in case of emergency of glucose depletion, for the patient (American Diabetes Association, 2015b; NHS choice, 2015). On the other hand, most sweet things (e.g., drinks/cakes/sweets etc.) which people enjoy often contain too much sugar, thus causing hyperglycaemia (Diabetes.co.uk, 2016a). Sugar-sweetened foods, particularly beverages taken in large quantity, are generally not recommended for anyone and particularly those who have or are at risk of diabetes. Although reducing sugar intake may seem to be a logical step to take in reducing blood sugar level, eliminating it completely from diet would be a mistake (American Diabetes Association, 2015a; Diabetes U. K., 2016). There are, however, alternatives to those who have a sweet tooth and find sweets irresistible. There are different sugar substitutes such as sucromalt which shows delayed glucose and insulin fall (Grysman et al., 2008). Another sugar substitute that is often used, fructose, has the ability to blunt glycaemic and insulin responses. The latter may seem to be advantageous on glycaemic control, but the corresponding physiological response on human may indicate otherwise (Havel, 2005). Problems arise as fructose is not controlled by the glucose homeostasis system and high consumption subsequently leads to dysregulation of energy homeostasis. This may result in hyperlipidaemia and obesity that further put strain on the person already suffering from diabetes (Elliott et al., 2002). When it comes to sugar, perhaps moderation would be the consensus between many dietary recommendations. A monitored diet maybe required due to sugar craving caused by previous excess consumption (Avena et al., 2008).

Protein has been repeatedly identified as an important component for dietary strategies for diabetics (Ezeogu et al., 2008; Ben-Avraham et al., 2009; Singh et al., 2010; Ajala et al., 2013). There are many findings of proteins or specific amino acids such as leucine that have some positive influence on the condition of diabetic patients. These include improved glycaemic control and muscle loss prevention (Manders et al., 2006; Zhang et al., 2007; Melnik, 2012; Norton et al., 2012).

An advantage of having protein in the food matrix is that it can influence the rate of starch digestion (Singh et al., 2010). A study on Sorghum concluded that proteins with disulfide bonds interfere with starch digestibility (Wong et al., 2009). Such influence includes delayed starch digestion and control of postprandial hyperglycaemia. Another study on wheat starch-protein on glycaemic response and in vitro digestion has also concluded that the removal of protein such as gluten in wheat flour causes a rise of postprandial blood-glucose level (Jenkins et al., 1987). These evidences support the notion that protein integrated in the food matrix can improve postprandial glycaemia.

T2D shows a positive correlation with patients’ muscle mass loss (Bassil and Gougeon, 2013; Leenders et al., 2013). Therefore, muscle mass maintenance is part of the issue that needs to be considered. Since muscle is made up of protein, intake of amino acid is vital. In particular, the amino acid leucine has been known to induce muscle growth (Dardevet et al., 2000; Crozier et al., 2005; Katsanos et al., 2006). It has been found to be most effective through ingestion. In fact, much of the body building products such as protein shake contains leucine for muscle building as a significant ingredient (Hennessy, 2013). Protein supplement such as whey has a substantial level of leucine added to the product (Jakubowicz and Froy, 2013). It is often mentioned that consuming protein supplement such as whey has insulinotropic as well as glucose lowering, effects. This is why leucine is often in the spotlight of many diabetes research (Melnik, 2012).

The relationship between leucine and glycaemic control is rather complex. In one way, it appears to help with the condition by stimulation of insulin production (Zhang et al., 2007). However, prolonged usage of excess leucine may accelerate the deterioration of the health condition of the patient (Melnik, 2012). Melnik (2012) surmised that excessive intake of leucine from meat (often red meat) leads to hyper activation of mTORC1 (mammalian target of rapamycin complex 1), a nutrient-sensitive kinase. mTORC1 when activated, leads to insulin resistance in the long term. While in the short term it will increase insulin production, prolonged supplement of leucine will cause pancreatic β-cells hyperfunction leading to their early senescence and apoptosis (Figure 1). The subsequent lack of insulin production will cause the increase of blood glucose as well as other side effects. In parallel, the primarily increased insulin production will also increase insulin resistance, which further complicates the condition.

However, Melnik (2012) were investigating how excess intake of leucine may contribute to T2D, whereas moderate intake of leucine may be beneficial toward T2D patients. Zhang et al. (2007) suggested that dietary supplement of leucine improves glucose and cholesterol metabolism, particularly decreasing hyperglycaemia and hypercholesterolemia in mice. Although the paper in question was mainly interested in obesity, there may be some indication that dietary leucine would help with diabetes. With high fat diet mice, having leucine in their water supply lowered the glucose content in their plasma sample after fasting. Although concentration of insulin was lower in high fat plus leucine fed mice, the paper claimed that these mice were more glucose tolerant and insulin sensitive. However, since these tests were done on healthy mice, more works are needed to test on diabetic mice.

Another study found that a mixture of protein hydrolysate and leucine increased insulin level and helped reduce glucose level in blood plasma (Manders et al., 2006). Their research indicated that while supplementing with additional leucine had a distinct advantage on insulin response from healthy subjects, distinction between the effects of protein supplement with or without leucine was lost in T2D subjects. It may be explained by T2D patients already having a decreased insulin sensitivity. In addition, postprandial glucose response indicated that both protein supplement with or without leucine supplement could effectively reduce glucose response in both healthy and T2D subjects. Therefore, the authors concluded that protein hydrolysate augments endogenous insulin secretion with or without additional leucine. However, the authors admitted that there are still more work to be done to be able to conclusively indicate that the role of leucine and its role with diabetes. They pointed out that healthy and diabetic subjects’ plasma glucose responses occur on different scales (i.e., diabetic subjects have higher plasma glucose responses). Also, they showed that glucose responses were inversely correlated with the accompanying insulin responses in patients with T2D. However, this was expected, for the insulin response in the T2D patient did not behave like that of control subjects, suggesting that glucose content measurement should be undertaken on diabetic patients in parallel to healthy subjects. However, the author maintained that incorporation of leucine should still be considered as beneficial toward improving the condition of T2D.

Although leucine’s role in blood glucose is somewhat ambiguous, its role in the positive regulation of mTORC1 is often mentioned (Manders et al., 2006; Melnik, 2012; Norton et al., 2012). As mentioned early on in this section, the induction of mTOCR1 induces insulin production and hence plasma glucose reduction. It seems to positively correlate with muscle growth, thus benefiting diabetic patients in terms of retaining muscle mass (Manders et al., 2006). Although Norton et al. (2012) suggest that the addition of extra protein from whey or added leucine increases plasma insulin, one has to keep in mind that this particular experiment has been conducted on healthy male mice with a short time scale. So the effect of persistent leucine supplement on diabetic subject is inconclusive. Yet it would be prudent to consider Melnik (2012) warning of long term detrimental effect of excessive leucine intake on pancreatic β-cells.

One may also need to consider the potential effect of leucine on different age groups. One study on advanced age male found that prolonged leucine supplement has no effect on glycaemic control or muscle mass augmentation (Leenders et al., 2011). Meanwhile in another study, a high proportion of leucine was required to stimulate the rate of muscle protein synthesis, particularly in elderly patients as compared to younger patients (Katsanos et al., 2006).

Over all, much work is required to be done on the subject of protein supplementation for patients with T2D. While protein and amino acids, particularly leucine, have many advantages in improving the condition of T2D, one has to consider its implication on pancreatic β-cell senescence subsequently increasing the dependency of externally supplied insulin. Therefore, when advising on dietary treatments, considerations of the present condition of the subject is important to keep in mind.

Fat is an essential part of a healthy diet. Many biological functions are dependent on fat but as with any other nutrients, problem arise when it is consumed in excess. In particular, it increases the risk of blocking blood vessels when these lipids enter into the blood stream, and the problem gets further aggravated when coupled with elevated level of glucose (American Heart Association, 2016). If not controlled carefully, over accumulation of fat and cholesterol will lead to an increasing risk of cardiovascular disease (CVD), one of the complications very commonly observed in diabetics. There are three well known cholesterol and fat, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG).

Low-density lipoprotein cholesterol has been associated with higher risk for CVD (Marz et al., 2011). It can be caused by a diet high in trans fats often associated with industrially hydrogenated vegetable fat as well as from fat of grazing animals (de Souza et al., 2015; Ganguly and Pierce, 2015). The primary concern with LDL-C in terms of T2D is that it induces apoptosis in pancreatic β-cells in vitro (Abderrahmani et al., 2007). Also, Drew et al. (2009) has discovered in their experiment that higher oxidated LDL-C reduces insulin secretion in cultured mouse pancreatic β-cells. Studies show that it will require more than a year of sustained lifestyle intervention to improve the LDL-C profile (The Look Ahead Research Group, 2010; Wing et al., 2011). Therefore, lowering LDL-C is often considered as a target in management strategy.

High-density lipoprotein cholesterol has been associated with lowering the risk for CVD. Lowered HDL-C will put one at a higher risk of CVD, particularly people with T2D (The Look Ahead Research Group, 2010; Wing et al., 2011). It is particularly responsive to lifestyle intervention. There are evidences of HDL-C being able to reduce plasma glucose by intravenous reconstituted HDL-C (rHDL) to T2D patients (Drew et al., 2009). The results demonstrated that infusing rHDL into the patient’s blood stream led to an increase of β-cell function and subsequently plasma insulin level. In addition, a recent article pointed out that HDL-C may have a positive role in improving β-cell function as well as offering protection against stress-induced apoptosis (Kruit et al., 2010). While HDL-C level is generally a good health indicator, there is a scenario where HDL-C benefits may be inhibited. If the HDL-C is enriched with triglycerides and depletion in cholesteryl ester with conformational alternation of apolipoprotein A-1, this will render HDL-C more likely to be immobilized on arterial wall (Kontush and Chapman, 2008). Therefore, management strategy have to consider beyond HDL-C profile alone.

Triglycerides (TG) is known as the most common type of fat in the body. It is also known that high level of TG is not necessarily the cause of diabetes but an indicator of an individual at risk of diabetes (Dansigner, 2015). For an example, reducing TG has been found to reduce the risk or delay in the onset of T2D (Kruit et al., 2010). High level of TG have also been linked with higher incidence of cardiovascular complication, in particular coronary heart disease in an ethnically Japanese study (Sone et al., 2011). Therefore, health risk is often associated with high TG level.

Lipid improvement may not have a direct positive effect on glycaemic index, however, it has the potential to help in reducing the subsequent complications. As part of a review, Bitzur et al. (2009) concluded that omega-3 has been shown with the ability to regulate the balance of LDL, HDL, and TG. Therefore, it has been successful in correcting dyslipidemia, a condition that reflects an imbalance between LDL, HDL, and TG, and which is part of the T2D symptoms that can cause cardiovascular disease events. These are but a few examples on how diet may improve the condition of those that have T2D.

Micro-nutrients are nutrients such as minerals and vitamins that are required in small quantity while being essential for health (Karunasinghe et al., 2016; Maiti et al., 2016). Anti-nutrients are often referred to as those that decrease the digestibility of nutrients (Pal et al., 2016). Little quantification has been made when it comes to dietary recommendation on micro-nutrients and anti-nutrients and their effects on T2D.

Several metabolic pathways and cellular reactions in the body require minerals and vitamins to act as coenzymes and cofactors. Unlike the previously established notion that their deficiencies are related to specific diseases, with the progress in nutritional biology research, it has increasingly become clear that these micro-nutrients also have the potential to impact on other chronic ailments such as Types 1 and Type 2 diabetes (Mooradian et al., 1994; Franz and Bantle, 1999). Indeed, reports confirm that micro-nutrients play a part in improving the diabetic condition (Thorne et al., 1983; Boivin et al., 1988; O’Connell, 2001; McDougall et al., 2005; He et al., 2007).

Meanwhile, anti-nutrients research has shown that α-amylase can be inhibited by various plant-derived molecules like luteolin, polyphenols, as well as amylase inhibitors (Boivin et al., 1988; McDougall et al., 2005; He et al., 2007). In particular, Boivin et al. (1988) showed that α-amylase inhibitor can significantly reduce postprandial glucose peak in both healthy and T2D subjects. To deter predation, plant α-amylase inhibitor causes the reduction of starch digestion by acting against animal α-amylase activity (Singh et al., 2010). However, these inhibitors can be inactivated/reduced by heat during cooking (Rehman and Shah, 2005). Polyphenols from tea can also help with reducing starch, lipid, and protein bioavailability, thus reducing excessive amount of nutrients to be absorbed by the body (He et al., 2007). Others like anthocyanin which is often found in soft fruits inhibit α-glucosidase activities (McDougall et al., 2005). This can be an effective tool to combat T2D, as diabetes is often caused by overindulgence in food.

In terms of minerals, the best established beneficial effector for diabetics is supplemental chromium (Cr) (Anderson, 1998; Anderson, 2000; Sharma et al., 2011; Yin and Phung, 2015). Diabetics may not show any specific Cr deficiency (Anderson, 1998), but Cr basically acts by creating a better mechanism for insulin action through improved receptor numbers, binding ability, phosphorylation and activation (O’Connell, 2001). The indirect nature of Cr’s benefit toward T2D may be the cause of some contradictory results among studies (Gunton et al., 2005). In its naturally occurring form, Cr is the active component of glucose tolerance factor (GTF), which renders Cr into the most bioavailable and it is safer than its other supplemental forms like chromium picolinate (Vincent, 2007). Consuming 100 microgram of GTF Cr by consuming whole grains, beans, nuts/seeds, and mushrooms has been proposed to significantly alleviate diabetes. Apart from Cr, minerals like zinc, magnesium, manganese, potassium, and vanadium have also been found to be essential for T2D patients by controlling glucose and insulin homeostasis (O’Connell, 2001; Diabetes.co.uk, 2016d). Mineral deficiency interferes with the functioning of insulin, thus affecting the glucose metabolism, and deregulating blood sugar content.

Besides minerals, vitamins also regulate the activity of insulin and thus have been promoted as role players in diabetes management (Pittas et al., 2006, 2007; Pflipsen et al., 2009). In its most bioavailable and natural form, vitamin E (d-α-tocopherol) was found to significantly improve glycaemic control without changing insulin secretion (Paolisso et al., 1993). Vitamin B12 deficiency has been found to be prevalent (22%) in T2D populations (Pflipsen et al., 2009). Furthermore, patients who have diabetes-related CVD also develop the mortality risk factor, hyperhomocysteinemia (Hhcys), characterized by very high total homocysteine present in the blood plasma leading to death. Vitamin B6, folic acid (vitamin B9), and vitamin B12 have been used to decrease levels of plasma homocysteine and the risk of CVD in Type 2 diabetics (Thornalley and Rabbani, 2010). Molecules such as inositol, coenzyme Q10 and carnitine are regulators of various carbohydrate, fatty acid, and protein metabolism pathways. Although their direct role in diabetes is still unclear, they may be useful to prevent or help in several diabetes-associated effects like diabetic ketoacidosis, diabetic retinopathy, and diabetic neuropathy (Diabetes.co.uk, 2016d). Thus, regular consumption of micro-nutrients in the form of natural or fortified food or any other intervention strategies supplementing micro-nutrients should be part of diabetes management.

Another aspect to consider in dietary intervention is that most foods consumed are processed or cooked. For example, the cooking methods as well as the duration and level of heat used in cooking may change the ratio of different starch fractions (Snow and O’Dea, 1981; Anderson and Guraya, 2006; Roopa and Premavalli, 2008; Chung and Liu, 2009; Zhang et al., 2009). In addition, the subsequent storage/refrigeration of food has also been shown to have effects on reduced RDS content (Mishra et al., 2008). There are some inconsistencies though in such findings. For an example, a report stated that heating with microwaves have no significant effect on starch digestibility (Anderson and Guraya, 2006). While Zhang et al. (2009) showed a different conclusion where heating has been related with increased RS. Therefore subsequently, cooking and processing will have an impact to GI value (Frei et al., 2003; Hu et al., 2004). It is also important to know that dietary fiber content, tannin and in vitro protein digestibility of processed grain, all affected by cooking and processing, can affect GI (Pushparaj and Urooj, 2011).

For an example, grain such as pearl millet is never eaten raw or as a whole grain. It is milled with the seed coat (rich in dietary fiber and micro-nutrients) to prepare whole meal flour utilized in preparation of foods. Commonly used traditional methods of processing and cooking pearl millet are: milling, roasting, boiling, pressure cooking, sprouting/germination. Processes such as fermentation and germination also are known to decrease the phytate (an anti-nutrient) content by 60% and improve bio-availability of minerals (Suma and Urooj, 2014). Processing such as dehulling has been found to cause a significant reduction in protein, polyphenol and phytic acid content (Pawar and Parlikar, 1990). Fermentation after dehulling can also cause a significant increase in the in vitro protein digestibility (IVPD) from 3 to 14% (El Hag et al., 2002). However, cooking had little effects on the total dietary fiber (TDF; Pushparaj and Urooj, 2011). When put together, all these processes will cause changes in the availability of various nutrients content and should be considered as part of the management program.

There is much advice available on diabetics diet, but little advice in terms of scientific research on methods of processing/cooking that are most beneficial for diabetics. Some suggestions such as a research on pressure cooked legume have found the increase of SDS content at the expense of RDS and RS (Kasote et al., 2014). While the authors have suggested that it would benefit people who are suffering from diabetes, one problem as they have pointed out, that the predicted GI (pGI) is higher after pressure cooking, which make it less desirable for diabetics. However, while the SDS, RS and RDS analysis was well defined in the paper, their pGI was not. Other studies from rice and millet have also shown increased SDS content after heat moisture treatment supporting the potential benefit of cooked grain for diabetics (Anderson and Guraya, 2006; Lehmann and Robin, 2007).

Traditional plant breeding has played a key role in improving plant yield and vigor and recently its emphasis is shifting to improving nutritional quality too (Khoshgoftarmanesh et al., 2010; Richards et al., 2010). One of the prime example is the breeding of soybean (Clarke and Wiseman, 2000). As Clarke and Wiseman (2000) report, there have been a number of efforts in breeding soybean to reduce its anti-nutrients content. By reducing various anti-nutrients compounds the protein availability in food for human or feed for farm animals has been substantially improved in this crop. This sets an excellent example of improving nutritional quality of the crop through selective breeding.

Efficiency of selective breeding can be further improved using molecular markers (Yadav et al., 2011, 2013; Varshney et al., 2013; Thudi et al., 2014; Kale et al., 2015). Marker-assisted breeding has been developed recently by identifying genomic regions or even causational genes that led to the development of better crop in terms of resilience, crop value, and nutritional qualities (Serraj et al., 2005; Yadav et al., 2011; Varshney et al., 2013, 2014; Thudi et al., 2014). With new marker-assisted technologies, breeding becomes less time consuming than traditional breeding and will continue to be a major tool for crop development and improvement.

There are many markers developed to identify crops with abiotic/biotic stress resistance and other agronomic traits including yield (Fan et al., 2006; Jena and Mackill, 2008; Miedaner and Korzun, 2012; Sharma et al., 2014). There are also efforts that identified markers showing implication in nutrition (Muthamilarasana et al., 2016). These markers targets include proteins (Kumar et al., 2011), minerals (Zhang et al., 2011; Kwon et al., 2012), sugar/acid (Francia et al., 2005) as well as anti-oxidants and phenolics (Shao et al., 2010; Torres et al., 2010) in various crops. Markers that have implication on downstream food processing such as malting for barley and cooking for rice are also available (Francia et al., 2005). Collection of such markers will allow faster developmental time for producing desirable nutritional traits in various crops.

Various diabetic associations have identified micro-nutrients and anti-nutrients that influence the speed of digestion or optimizing nutrition use. Fortifying plants with micro-nutrients have been the focus of much research to improve nutritional quality to combat diabetes as well as malnutrition (O’Connell, 2001; Bouis and Welch, 2010). Much has been done to improve micro-nutrients content (Cakmak et al., 2010) but more can be done in targeting marco-nutritional benefits (e.g., carbohydrate, fat, and protein) for diabetics.

Although less welcomed in the public domain, transgenic technology is another mean and tool for biofortification of grain nutritional traits (Pérez-Massot et al., 2012; Galili and Amir, 2013). Galili and Amir (2013) argued that traditional breeding methods have failed to raise some aspects of nutrition in crop to a satisfactory level. With continually expending knowledge and understanding of the biochemical pathways with molecular control, as well as with improvement of the transgenic technique, one can argue that genetic modification should be considered as a viable option. On the other hand, even though transgenic technology may have its advantages over traditional breeding, it has its limitations. For an example, one has to consider the acceptance of the general public, as well as other considerations beyond the technology itself (Sample, 2012). Examples would be the legal frame work for this technology to be used on market products as well as the regulatory framework to conduct these processes safely. Currently, the additional cost to secure transgenic trial sites in Europe can exceed the cost of the experiment itself due to the lack of public support (Cressey, 2012; Kuntz, 2012; The Telegraph, 2015). This in itself has much to desire as there is little evidence to assess the safety of such technology due to the lack of public support to explore and test such technology (Nature Editorial, 2012). Many experiments, including those for safety assessment, have suffered premature termination (Pilate et al., 2002; Kuntz, 2012). Perhaps much transparent process, public education, and campaign are needed to win over the trust of the general public if this technology is to be successfully deployed.

Over all, based on the above discussion on nutrition requirements of diabetics, some of the targeted benefits of improving staple crops for nutritional traits are clear. Given that there already exist technologies for crop improvement, we can start looking more into improving nutritional qualities such as lipid, fiber, mineral, amino acid and starch contents in our staple crops.

There are many dietary advice and options readily available for diabetics. Some have even provided advice on food groups down to grain type (Dansinger, 2016). Recently, millets are receiving increasing spotlight in combating diabetes as a dietary option (Henry and Kaur, 2014; Nambiar and Patwardhan, 2014; Muthamilarasana et al., 2016). Indeed, there are evidences to support that millets have many properties making it a good dietary option for diabetics. For an example, an experiment that has used diabetic mice to test different diets has concluded that added millet protein can increase insulin sensitivities, and reduce blood glucose level as well as triglyceride level (Nishizawa et al., 2009). Added benefits such as increased plasma level of adiponectin and high-density lipoprotein cholesterol were also found in their 3 weeks study.

The cereal crop millet is one of the most abundant crops grown in India and African continent, and provides a staple food for many poor communities (Ravi, 2004). Compared to other cereal crops such as wheat and maize, millets are high in nutritional content, gluten free, and have low GI (Abdalla et al., 1998). They provide high energy, high dietary fiber, protein with balanced amino acid profile, many essential minerals, some vitamins, and antioxidants (FAO, 1995; Lestienne et al., 2005; Suma and Urooj, 2012). These play a substantial role in prevention of many human illnesses such as T2D, cancer, cardiovascular, and neurodegenerative diseases (Kannan, 2010; Shahidi and Chandrasekara, 2013). There is great potential for harnessing these positive attributes through selective breeding. Subsequently, combining grain processing/cooking methods and food production technologies in producing food product from such varieties will be directly useful for controlling diabetes through diets.

There are various species of millets (pearl, foxtail, finger, little and kodo, just to name a few) growing in various parts of the world (Ravi, 2004). These millets are known to be able to survive and produce food in regions that are more prone to drought. The added benefit for millets is their potential positive contribution toward controlling the symptoms of diabetes (Choi et al., 2005; Park et al., 2008; Shobana et al., 2010; Jali et al., 2012). They are known to have higher SDS (Liu et al., 2006), mineral (FAO, 1995) as well as leucine (Ejeta et al., 1987; FAO, 1995) contents, that are positively attributed toward healthy diet for diabetics. Furthermore well characterized genetic, genomic and breeding methods exist for pearl millet (Yadav et al., 2011; Hash et al., 2003), providing a head start for breeding program in this crop.

Amongst millets antidiabetic properties, a study in India reported that patients with T2D fed with foxtail millet for 90 days showed improved glycaemic control as well as other improvements (Jali et al., 2012). The patients were given the diet of a combination of foxtail millet, split black gram and spice mix with a high degree of compliance. The result showed a reduced HbA1c, fasting glucose, insulin, total cholesterol, triglyceride, and LDL concentrations. These were all indications that this diet had a positive impact on T2D patients. The reduction of cholesterol, triglyceride and LDL-C concentration had a positive implication in cardio health (Marz et al., 2011; Sone et al., 2011; Wing et al., 2011), a complication that many T2D patients suffered from (Bitzur et al., 2009). One could argue that the effect of medication or the more regulated diet could cause an equal positive impact. However, millet’s positive role was consistent throughout these studies. Further, medication has negative side-effects that diet did not introduce.

Similar research on effects of finger millet on T2D rat had also been published (Shobana et al., 2010). The study demonstrated that finger millet may help reduce subcapsular cataract when T2D mice were fed with added finger millet seeds coat. In this experiment, Shobana et al. (2010) had also observed the reversal of hypercholesterolemia and hypertriacylglycerolemia associated with diabetes. Not only did finger millet had an implication in diabetics’ health but health improvement in general, as many obese rat subjects had experienced weight loss.

Two studies from the same group on proso- millet and foxtail millet concluded that diet with mixture of their respective protein faction improved HDL-C concentration as well as reduced insulin and plasma glucose concentration (Choi et al., 2005; Park et al., 2008). Though these were positive results in managing diabetes, caution have to be exercised that such results were drawn from protein fraction only and not the whole grain. The more wholesome properties of the grain such as fat and starch portion had yet to be investigated. This did not, however, negate the fact that these millets carried beneficial properties toward managing diabetes.

Thus, while there are many indications of dietary health benefits offered by millets in managing diabetes, more research is required.