Evidence-Based Complementary and Alternative Medicine

Evidence-Based Complementary and Alternative Medicine / 2012 / Article

Review Article | Open Access

Volume 2012 |Article ID 893426 | https://doi.org/10.1155/2012/893426

Pierre S. Haddad, Lina Musallam, Louis C. Martineau, Cory Harris, Louis Lavoie, John T. Arnason, Brian Foster, Steffany Bennett, Timothy Johns, Alain Cuerrier, Emma Coon Come, Rene Coon Come, Josephine Diamond, Louise Etapp, Charlie Etapp, Jimmy George, Charlotte Husky Swallow, Johnny Husky Swallow, Mary Jolly, Andrew Kawapit, Eliza Mamianskum, John Petagumskum, Smalley Petawabano, Laurie Petawabano, Alex Weistche, Alaa Badawi, "Comprehensive Evidence-Based Assessment and Prioritization of Potential Antidiabetic Medicinal Plants: A Case Study from Canadian Eastern James Bay Cree Traditional Medicine", Evidence-Based Complementary and Alternative Medicine, vol. 2012, Article ID 893426, 14 pages, 2012. https://doi.org/10.1155/2012/893426

Comprehensive Evidence-Based Assessment and Prioritization of Potential Antidiabetic Medicinal Plants: A Case Study from Canadian Eastern James Bay Cree Traditional Medicine

Academic Editor: Arndt Büssing
Received18 May 2011
Accepted09 Sep 2011
Published20 Dec 2011


Canadian Aboriginals, like others globally, suffer from disproportionately high rates of diabetes. A comprehensive evidence-based approach was therefore developed to study potential antidiabetic medicinal plants stemming from Canadian Aboriginal Traditional Medicine to provide culturally adapted complementary and alternative treatment options. Key elements of pathophysiology of diabetes and of related contemporary drug therapy are presented to highlight relevant cellular and molecular targets for medicinal plants. Potential antidiabetic plants were identified using a novel ethnobotanical method based on a set of diabetes symptoms. The most promising species were screened for primary (glucose-lowering) and secondary (toxicity, drug interactions, complications) antidiabetic activity by using a comprehensive platform of in vitro cell-based and cell-free bioassays. The most active species were studied further for their mechanism of action and their active principles identified though bioassay-guided fractionation. Biological activity of key species was confirmed in animal models of diabetes. These in vitro and in vivo findings are the basis for evidence-based prioritization of antidiabetic plants. In parallel, plants were also prioritized by Cree Elders and healers according to their Traditional Medicine paradigm. This case study highlights the convergence of modern science and Traditional Medicine while providing a model that can be adapted to other Aboriginal realities worldwide.

1. Background on Diabetes

Diabetes is a chronic metabolic disease that arises from a dysfunction in the body’s production of the anabolic hormone insulin, a reduction of the response of peripheral organs to the same hormone, or both [13]. There exist two predominant types of the disease; namely, type 1 diabetes (T1D) and type 2 diabetes (T2D) [2, 4, 5]. The former often affects younger individuals and is related to autoimmune responses against insulin or other components related to insulin production that lead to the destruction or severe dysfunction of pancreatic beta cells [2, 4, 5]. Thus, T1D is characterized by insulin insufficiency and is treated by exogenous insulin administration, hence, its former definition as an insulin-dependent type of diabetes. In contrast, the pathophysiological scheme that is generally considered by the contemporary scientific community to explain T2D begins with a gradual attenuation in the response of tissues to insulin, called insulin resistance [2, 46]. Pancreatic beta cells that produce the hormone compensate by increasing insulin secretion in response to a given rise in circulating glucose. Eventually, the pancreas decompensates, in good part because of a significant loss in the functional mass of beta cells. This leads to a frank deregulation of blood glucose whereby it remains chronically elevated.

Clinically, the initial phases of the disease are asymptomatic. Indeed, the state of insulin resistance is usually associated with a normal fasting blood glucose (FBG) concentration [7]. However, two elements can help identify this state, namely impaired glucose tolerance (IGT) and hyperinsulinemia [2, 7, 8]. The former can express itself as a blood glucose concentration that reaches beyond 11 mM after a meal or after an oral glucose challenge called oral glucose tolerance test (OGTT). For its part, hyperinsulinemia is related to the aforementioned pancreatic compensation [9]. After pancreatic decompensation, blood glucose remains chronically elevated, as evidenced by fasting hyperglycemia. In fact, it is important at this point to highlight that T2D is a metabolic disease that involves not only the deregulation of glucose homeostasis, but also that of lipids [10]. Indeed, elevated free fatty acids in circulation and the excessive deposition of lipids in abdominal fat or in ectopic sites, such as the skeletal muscle and liver, are recognized as key elements in the development of insulin resistance [1114].

However, individuals suffering from T2D do not generally succumb to the actual hyperglycemia or dyslipidemia but to their consequences. For instance, it is through a process, coined glucolipotoxicity, that the pancreas is believed to lose its functional mass of beta cells [15]. Elevated blood glucose and lipids also cause micro- and macrovascular lesions. The former affects principally the kidney (diabetic nephropathy), peripheral nerves (diabetic neuropathy), and the retina (diabetic retinopathy). Macrovascular lesions, for their part, lead to cardiovascular disease. T2D is also associated with a state of oxidative stress and chronic low-grade inflammation [1618]. Finally, several factors, including diabetic neuropathy (loss of sensation and hence increased risk of wounds to the extremities), poor circulation, and a weakened immune response, are at the root of the preponderance of slow-healing wounds in T2D [19, 20]. It is therefore not entirely surprising that T2D is the leading cause of nontraumatic limb amputation, of blindness, of renal hemodialysis, and of cardiovascular disease [7]. Taken altogether, it is these complications of diabetes that cause the high level of morbidity and mortality related to this metabolic disease.

T2D actually represents the pathological endpoint of a cluster of metabolic disturbances that are called metabolic syndrome, syndrome X, or insulin resistance syndrome. There exist several definitions put forth by various national and international agencies but all include a combination of the following factors [7, 2124]: abdominal obesity, dyslipidemia (notably including increased triglyceridemia, low HDL-cholesterol, and high LDL-cholesterol), IGT, hyperinsulinemia, and hypertension. A cluster of three or more of these factors is necessary for the “diagnosis” of metabolic syndrome. In particular, obesity is the leading risk factor for T2D [25]. With the industrial and food science revolutions of the previous century, most populations around the globe have significantly reduced their physical activity and/or increased their intake of more processed, energy-dense foods. Hence, metabolic diseases have arisen as a result of chronic imbalances between energy intake and energy expenditure. Notwithstanding genetic and other environmental factors (such as stress, pollution, smoking), T2D can rather efficiently be prevented and even treated (notably in its initial stages) by lifestyle interventions [2628]. However, such changes are difficult to put in place and especially to establish in a persistent manner. Therefore, several therapeutic interventions, mostly centered on pharmaceutical drug therapy, have been developed to prevent or improve the cluster of disorders described above. These are summarized in the following section because they also reflect the relevant targets for medicinal plants stemming from Canadian Aboriginal Traditional Medicine that are the focus of the present paper.

2. Contemporary Drug Therapy for T2D

According to the Canadian Diabetes Association Clinical Practice Guidelines [8, 29], a newly diagnosed type 2 diabetic will be prescribed up to five different drugs. These include (1) oral hypoglycemic drugs, alone or in combination, to reduce blood sugar; (2) lipid-lowering drugs, especially to reduce LDL-cholesterol; (3) antihypertensive drugs to reduce blood pressure or prevent hypertension; (4) low-dose aspirin to reduce the risk of thrombosis; (5) insulin, in more advanced stages of the disease. The oral hypoglycemic drugs contain several classes that point to the various targets that can be useful in restoring glucose homeostasis. This is also pertinent in the context of the present case study since these targets also represent the major cell bioassays used to screen medicinal plant preparations for antidiabetic activity.

One of the oldest classes of oral hypoglycemic drugs is represented by the insulin secretagogues, sulfonylureas [30]. These drugs target inward-rectifying potassium channels on the membrane of pancreatic beta cells that are involved in the control of insulin secretion in response to increases in circulating glucose [31, 32]. These drugs have two major limitations. Firstly they confer a risk of hypoglycemia by virtue of the robust insulin secretion they may trigger. Secondly, in view of the aforementioned compensatory mechanisms, sulfonylureas may in fact act to precipitate pancreatic decompensation.

Perhaps the most commonly used oral hypoglycemics are the biguanides, of which metformin is the predominant example [33]. Biguanides were derived from compounds isolated from the French lilac, Galega officinalis, a plant long known to be indicated for symptoms of T2D [34, 35]. Metformin has grown to become the drug of first choice in diabetes management worldwide [36], whereas earlier derivatives such as phenformin had to be withdrawn because of life-threatening side effects [37].

It is now known that metformin targets AMP kinase (AMPK), a metabolic master switch enzyme involved in insulin-independent mechanisms that lead to enhanced glucose uptake in skeletal muscle and to reduced hepatic glucose production [38, 39]. Both actions contribute to improving insulin sensitivity and glucose homeostasis (discussed further below).

Thiazolidinediones (TZDs), also known as glitazones, represent a third class of oral hypoglycemic agents that target the nuclear receptor/transcription factor PPARγ, principally in adipose tissue. PPARγ modulates the expression of several genes whose products control both the differentiation of adipocytes and major enzymes involved in lipid homeostasis [4042]. In experimental and clinical settings, TZDs decrease insulin resistance, in part through their effect of decreasing the ratio of leptin to adiponectin, which are two important adipokines involved in appetite control and insulin sensitivity, respectively [40, 43, 44]. Limitations to their use include hepatic and cardiovascular side effects that have forced the withdrawal of some members of this class from the American and European markets [45]. Less dramatic is the weight gain/water retention that TZDs induce.

Alpha-glucosidase inhibitors act on enzymes of the intestinal epithelial lining involved in the digestion of complex sugars into smaller easily absorbed monosaccharides [46]. They can be used alone or in combination therapy, notably to reduce postprandial hyperglycemia. However, they exhibit dose-dependent gastrointestinal side effects such as flatulence and diarrhea that can limit their use [47, 48].

The newest class of hypoglycemic drugs relates to the incretins, gastrointestinal peptide hormones that act principally on beta pancreatic cells. Incretins, of which GLP-1 and GIP are the predominant species, delay gastric emptying, increase glucose-induced insulin secretion, and stimulate beta cell proliferation [4951]. The latter effect holds promise to counter the gradually failing pancreatic functional mass characteristic of T2D. Incretins are secreted by intestinal cells and are rapidly degraded by dipeptidylpeptidase IV (DPP-4) enzymes in the blood. Two types of drugs have thus far been developed: the first is degradation-resistant incretin mimetics such as exenatide and the second is DPP-4 inhibitors [51]. Exenatide must be injected subcutaneously and can cause nausea and diarrhea whereas hypersensitivity reactions have been reported for DPP-4 inhibitors.

3. Aboriginal Diabetes and Traditional Medicine

Canadian Aboriginals, like several of their counterparts around the globe, exhibit a greater incidence of T2D than their non-Aboriginal peers. This has been related to genetic predisposition and the rapid change in lifestyle [52, 53] moving closer to “western” models and away from traditional behavior, notably traditional food and transportation. In the Cree of Eeyou Istchee (CEI-Eastern James Bay area of Northern Quebec), for instance, the age-adjusted prevalence of T2D is 3- to 5-fold that of non-Aboriginal Quebecers, with an average that reached 29% of the adult population aged 20 years and older in 2009 [54]. This alarming rate of T2D is confounded by the cultural disconnect of the modern pharmaceutical therapies described above. CEI diabetics also suffer from a much greater prevalence of a number of diabetes complications [5557].

In an effort to identify more culturally relevant approaches to diabetes care, the CIHR Team in Aboriginal Antidiabetic Medicines (CIHR-TAAM) was instated in 2003. Its initial objective was to make the proof of concept that therapeutic approaches based on Cree Traditional Medicine (TM) held promising antidiabetic potential. As with many Aboriginal cosmologies, Cree TM uses a holistic approach whereby physical, mental, emotional, and spiritual components of the “patient” need to be equilibrated. Medicinal plants play an important role in this paradigm, and the CIHR-TAAM has concentrated on providing the scientific evidence base for their antidiabetic potential. Out of respect for the other sacred aspects of Cree healing ways and because the latter are less amenable to conventional scientific study, the CIHR-TAAM has not addressed these issues directly. An ethnobotanical approach was used to identify medicinal plants based on a set of symptoms related to diabetes (discussed further below). Species with the greatest antidiabetic potential were then screened using a comprehensive platform of cell-based and cell-free in vitro bioassays as well as in vivo animal models of obesity and diabetes, as detailed in the following section.

Figure 1 shows the flowchart of the project. After ethnobotanical identification and bioassay-based screening (tier 1), the species exhibiting promising biological activities are taken to the next level where more detailed studies are carried out to understand their cellular and molecular mode of action, to identify their active phytochemical principles, and to ascertain their safety and efficacy using in vivo animal studies (tier 2). The most active species are then taken to the next level where they are tested in clinical studies with Cree diabetics taking TM alongside the conventional drug therapy (tier 3). Actually, because of the fact that Cree TM has been used for centuries and that several Cree diabetics have decided to call upon Cree Healing Ways, observational clinical studies have begun in parallel with the more detailed laboratory studies mentioned (tier 2). Notwithstanding this particular situation, the following sections will detail the scientific approach taken to provide the evidence base for the antidiabetic activity of the Cree medicinal plants and the protocol taken to prioritize them. Moreover, we undertook to compare this outcome with the prioritization based on Cree TM and cosmology.

4. Comprehensive Platform of In Vitro Bioassays and In Vivo Animal Models of Obesity and T2D

T2D is a multifaceted, multiorgan metabolic disorder, as is indirectly alluded to by the various targets of oral hypoglycemic drugs. Therefore, a platform of in vitro bioassays was put in place to screen for primary and secondary antidiabetic biological activities (Figure 2). Primary activities refer to those observed on cells producing (pancreas) or responding (muscle, liver, adipose tissue) to insulin, or involved in glucose absorption from the intestine. What we termed “secondary antidiabetic biological activities” refer to general parameters such as oxidative stress and inflammation, to parameters related to the complications of diabetes, or to the assessment of potential toxicity or herb-drug interactions (Figure 2).

4.1. In Vitro Screening (Figure 2): Primary Antidiabetic Activities
4.1.1. Assay for Potentiation of Glucose-Stimulated Insulin Secretion

The pancreas is responsible, primarily through insulin secretion from beta cells, to respond to elevations in blood sugar. Pancreatic cell lines such as β-TET cells [58] can thus be employed to screen extracts for potentiation of glucose-stimulated insulin secretion (GSIS). These cell lines release insulin in response to physiological glucose concentrations. Changes in secretory properties (basal secretion, GSIS, and shifts in glucose sensitivity) can be detected by measuring insulin released into the medium. Hence, this bioassay can uncover potential insulin secretagogue actions reminiscent of sulfonylureas. Also, 3H-thymidine incorporation experiments can be used to uncover effects on beta cell proliferation [59]. The latter would indicate a potential for a given plant extract to favor beta cell regeneration and the replenishment of a functional beta cell mass. Examples of such effects have been obtained in recent years for antidiabetic plants such as blueberry [60] and Nigella [61].

4.1.2. Assay for Potentiation of Glucose Transport

Skeletal muscle is the main site of glucose disposal in human, and approximately 80% of total body glucose uptake occurs in skeletal muscle [62] through insulin- and exercise-sensitive glucose transporters, Glut4. Following exercise or insulin stimulation, Glut4 transporters translocate from intracellular vesicles (basal state) to the cell surface of muscle cells (and, to a lesser extent, of adipose cells) to mediate glucose uptake from the bloodstream. Both the insulin-dependent Akt pathway [10] and insulin-independent exercise pathway that operates through AMPK [63] can modulate Glut4 translocation. The effects of plant extracts on insulin action as well as insulinomimetic activity can thus be assessed by measuring basal- and insulin-stimulated glucose uptake in (1) the C2C12 skeletal muscle cell line and (2) the 3T3-L1 adipocyte cell line. Both types of cell lines have been used as models for insulin-regulated glucose transport for over 15 years [6468]. In these lines, insulin-stimulated glucose uptake occurs through the GLUT-4 insulin-responsive glucose transporter. In addition, such muscle cell lines also exhibit non-insulin-dependent AMPK-regulated glucose uptake stimulated by metformin, an oral hypoglycemic of the biguanide class. Hence, these glucose transport assays can identify insulinomimetic, insulin-sensitizing, or insulin-independent antidiabetic potential at the level of skeletal muscle or adipose tissue.

4.1.3. Assay for Potentiation of Adipogenesis

As mentioned above, thiazolidinediones (glitazones) are a valuable class of antidiabetic drugs that induce an increase in insulin sensitivity by acting on PPAR nuclear receptors and thereby affecting the transcription of a number of genes associated with lipid homeostasis and insulin signal transduction [40]. A widely used screen for glitazone-like activity involves testing for the potentiation of adipogenesis in a differentiating preadipocyte cell line, such as 3T3-L1 cells, as assessed by enhanced accumulation of intracellular triglycerides [6972]. Rosiglitazone (a reference TZD) serves as a positive control. In the case of positive adipogenic activity, PPARγ agonism can be confirmed by a luciferase gene reporter assay [59]. It is also possible that an inhibitory action be uncovered as happened recently with certain Cree antidiabetic plants [73]. This is not irrelevant since this can represent a potential antiobesity activity as studied in detail recently [74, 75]. Hence, this bioassay can give insight on the antidiabetic and/or antiobesity potential of plant preparations on adipose tissue.

4.1.4. Assays for Modulation of Hepatic Glucose Metabolism

The liver is an insulin-responsive tissue that plays a crucial role in the homeostasis of glucose by its ability to control blood sugar level through glucose production or storage, notably in the form of glycogen. This organ also regulates lipid homeostasis through a process implicating key lipogenic enzymes [76]. Finally, the liver plays a prominent role in T2D, notably through weakened insulin-dependent inhibition of glucose production [77, 78]. Hence, hepatocyte cell lines, such as the murine H4IIE and human HepG2 hepatoma-derived cells, can serve to measure the effect of plant preparations on the insulin-dependent and insulin-independent regulations of hepatic glucose metabolism. Glucose-6-phosphatase catalyses a critical step in gluconeogenesis which contributes to enhanced hepatic glucose production in T2D [79, 80]. Inhibition of glucose-6-phosphatase activity thus gives an indication of potential beneficial effect for T2D. Insulin and metformin can be used as positive controls for inhibition of glucose-6-phosphatase activity. Stimulation of glycogen synthesis from glucose is another way to reduce hepatic glucose production [81]. The activity of glycogen synthase, the rate-limiting enzyme of glycogen synthesis, can be measured in hepatic cell lines treated with plant preparations using incorporation of radiolabelled UDP-glucose into glycogen [82]. Treatment with insulin again serves as a positive control for the stimulation of glycogen synthase. Hence, these hepatic glucose metabolism assays can help identify plant preparations that are likely to reduce hepatic glucose production in vivo, with a corresponding potential to help reduce blood glucose in T2D.

4.1.5. Assay for Inhibition of Intestinal Glucose Absorption

A number of antidiabetic agents reduce glycaemia by inhibiting digestion and/or absorption of carbohydrates through the gut. These effects are due to either direct interaction with glucose, thereby inhibiting absorption of glucose by enterocytes, direct inhibition of enterocyte SGLT-1 or GLUT-2 transporters, or inhibition of disaccharidases and other enzymes of carbohydrate digestion produced by enterocytes (includes the alpha-glucosidase inhibitor class of oral hypoglycemic drugs discussed above). Evidence already exists for inhibition of digestion and/or absorption of carbohydrates by natural products [22, 8385]. Furthermore, there is considerable interest in inhibitors of SGLT transporters (intestinal and renal), based on orally active derivatives of phlorizin, as a novel antidiabetic therapy [8689]. Intestinal cell lines, such as CaCo-2 cells, can thus serve to probe plant preparations for their potential to inhibit intestinal glucose transport and hence contribute to reducing blood glucose in T2D. This is the final bioassay used in our platform to test for direct antidiabetic activity.

4.2. In Vitro Screening (Figure 2): Secondary Antidiabetic Activities
4.2.1. Assay for Cytochrome P450 Inhibition

The cytochrome P450 (CYP) monooxygenase enzyme systems are responsible for a large part of xenobiotic metabolism, notably that of most contemporary pharmaceutical drugs [90]. Plants are known to contain substances that can interfere with the normal activity of several CYP enzymes, notably CYPs 3A4, 2C8, 2C9, and 2D6 [91]. Human recombinant CYP enzymes are commercially available and can be used in vitro to assess the level of inhibition by natural products contained in plant preparations, being generally classified as weak (<30%), modest (31–75%), or strong (>75%) inhibition [91]. Hence, this bioassay will give an initial indication of the risk for herb-drug interactions for a given plant preparation, which represent a major concern in T2D management.

4.2.2. Assay for Neuroprotective Activity

As mentioned earlier, diabetic neuropathy is one of the major complications of T2D. This results in good part from the damaging impact that chronically elevated blood glucose can have on neurons [92, 93]. This situation can be reproduced in vitro by subjecting preneuronal or neuronal cells in culture to hyperglycemic conditions. For instance, preneuronal PC12 cells subjected to high glucose concentrations for 96 h typically exhibit 40–50% cell death, which can be prevented by given medicinal plant preparations [94, 95]. Hence, neuroprotective activity measured in vitro indicates a good potential for a given medicinal plant to be beneficial against diabetic neuropathy.

4.2.3. Assay for Antioxidant Activity

As mentioned, T2D is known to be associated with a state of oxidative stress [16, 96]. Secondary metabolites serve several functions in plant physiology such as to protect the plant from damaging environmental factors, notably oxidative stress [16, 96, 97]. Several of these compounds thus exhibit potent antioxidant properties that have been associated with beneficial health outcomes in humans, for instance related to the consumption of fruits and vegetables [98, 99]. There exist several in vitro, generally cell-free, tests to determine the antioxidant potential of chemical compounds. Such tests are not physiologically as relevant as those involving intact cells or cell lines. Nonetheless, they provide a rapid and low-cost assessment that is commonly used by academics and industry researchers alike while even beginning to be assimilated by the general population. The oxygen radical absorbance capacity (ORAC) [100] test remains one of the best-known and most commonly used antioxidant tests, despite some limitations. Others such as the DPPH radical scavenging [101] and the thiobarbituric acid reactive substances (TBARS) assays [102] can also be used. The strong antioxidant activity of a given medicinal plant will offer potential beneficial impacts on T2D.

4.2.4. Assay for Antiglycation Activity

When blood glucose levels remain chronically elevated, covalent interactions occur between glucose and other blood components, such as proteins. Indeed, one of the proteins subjected to this type of glycation is hemoglobin. In fact, glycated hemoglobin, better known as hemoglobin A1C (Hb-A1C), is used as a reliable index of chronic hyperglycemia [103]. Moreover, reductions in the percentage of Hb-1AC present in the blood of T2D patients are used routinely in the long-term management of glucose homeostasis (CDA clinical practice guidelines; [8, 29]). In vitro, it is possible to reproduce the glycation of proteins by incubating a given substrate (e.g., albumin) with high concentrations of glucose for a one-week period. Glycation can then be assessed by fluorometric methods or by Western blot analysis [104]. Hence, a plant that reduces protein glycation is likely to exert some beneficial actions in the context of T2D.

4.2.5. Assay for Anti-Inflammatory Activity

Like many chronic diseases, T2D is also associated with chronic low-grade inflammation [17, 18]. This is related, in part, to the increased production of proinflammatory cytokines such as tumor necrosis factor alpha (TNF-alpha). TNF-alpha is also an adipokine produced in quantities in direct relationship to the mass of adipose tissue, hence in an elevated manner in visceral obesity [105]. It is also produced by macrophages when they are activated by microbial components such as lipopolysaccharides (LPSs) [106]. Hence, a standard cell-based bioassay used to assess anti-inflammatory activity measures TNF-alpha (or other inflammatory cytokines) released by LPS-activated macrophages in culture put in contact with the tested agent, in the present case, a given medicinal plant preparation. Hence, if a medicinal plant exhibits significant anti-inflammatory activity, this will represent a potential benefit in the context of T2D.

4.3. In Vivo Screening (Figures 3 and 4)

Biological effects of plant preparations in primary antidiabetic bioassays should hold potential to mediate a reduction in blood glucose in vivo. A number of animal models of obesity and diabetes exist to evaluate the therapeutic potential of medicinal plants. Some rely on genetic defects that predispose animals to obesity (e.g., Ob/Ob mice) or diabetes (e.g., Zucker diabetic fatty (ZDF) rats) or chemicals that induce such disorders (e.g., streptozotocin or alloxan). Others use dietary interventions that cause metabolic disturbances in animals that resemble the spectrum spanning from insulin resistance to T2D. The CIHR-TAAM has experimented with many of these models [107, 108], and the diet-induced obesity (DIO) model in mice has been found to provide stable and reliable results. This model is illustrated in Figures 3 and 4 and is briefly described further below.

4.3.1. Diet-Induced Obesity Mouse Model

The male C57BL/6J mouse has been considered as a gold standard to generate the diet-induced obesity (DIO) animal model [109]. This mouse species develops an obesity phenotype only when given free access to a high-fat diet whereas individuals remain normal when fed a low-fat diet (Figure 3). The weight gain in C57BL/6J mice on the high-fat diet results from a combination of increased energy intake and decreased metabolic rate [110, 111]. In addition to the typical feature of obesity, C57BL/6J mice on the high-fat diet also develop insulin resistance, impaired glucose tolerance, mild to moderate hyperglycemia, dyslipidemia, hypoadiponectinemia, leptin resistance/hyperleptinemia, and hypertension (Figure 4). DIO mice suffer from islet dysfunction, decreased uncoupling protein-2 (UCP2) expression, and downregulated β3-adrenegic receptor expression and function [112, 113]. The course of diabetes development and the interaction of nutritional components with genetic variables in C57BL/6J mouse closely mimic the progression of human diabetes [114]. Numerous studies have demonstrated that the C57BL/6J DIO mouse is a suitable animal model for examining novel therapeutic interventions and how diverse antidiabetic drugs exert in vivo efficacy [115, 116]. Therefore, the DIO mouse model can be used to study the efficacy and systemic mode of action of medicinal plants on the prediabetic and early stages of obese T2D. Plant preparations can be administered to animals in various ways. Intravenous or intraperitoneal injections are sometimes used, but these do not reflect the oral administration characteristic of the vast majority of traditional preparations. Gastric gavage using blunt needles is an efficient way to deliver plant preparations while respecting precise dosages and administration regimens. However, in small animals like mice, the risk of gastric puncture significantly increases with the frequency and duration of plant administration. Moreover, the usual dead volume of gavage needles can become a barrier, especially when dealing with more purified preparations where only small quantities are often available. It is therefore also common for plant preparations to be incorporated into either the drinking water or the feed of laboratory animals. The advantages are that plant preparations can be rather easily and homogeneously integrated into these matrices. On the other hand, the dosing requires careful assessment of the amounts of food and water that are consumed; attention also needs to be paid to avoid spillage or wastage of food or water in order to prevent errors in dosing. Nevertheless, such approaches appropriately mimic oral administration, albeit less so regarding dosing frequency, especially in continuous feeders. Oral feeding/drinking strategies also imply carrying out initial dosing studies to find the optimal range of concentrations of plant preparations. It is common to use a dose of 100 mg/kg body weight as a reference starting point for crude plat extracts, although this does not bear a direct relationship with a human therapeutic dose. In this instance, doses of plant preparations in animals, as is also the case for conventional drugs, cannot easily be translated into human equivalents.

5. Prioritizing Promising Antidiabetic Plants Based on Traditional and Scientific Evidence

The first level of prioritization actually relates to the knowledge of Cree elders and healers. Indeed, the medicinal plants subjected to scientific testing need to be identified through their use in TM. Ethnobotany is the science that studies the use of plants and plant-related materials by human populations for several functions, a major one being health and wellbeing. Several methods exist to study the traditional knowledge of human populations, informant consensus being a common one [117, 118]. However, such approaches are based on the assumptions that the healers know the ailment/disease and that they use plants for such conditions. Since T2D was very rare in Canadian Aboriginal populations even as recently as 50–60 years ago, a novel ethnobotanical approach was developed by the CIHR-TAAM [117, 118]. This method relies on a set of 15 symptoms related to T2D. Traditional knowledge holders are asked about which plant they would use for a given symptom. Medicinal plant species are then ranked, taking into account (1) the number of healers that mention a given plant and (2) the number of symptoms for which the given plant is used. Results are also weighed according to the importance/relevance of each symptom to T2D, since some (e.g., slow-healing wounds) are quite specific to T2D while others (e.g., diarrhea) are not. The result of the algorithm is called a syndromic importance value (SIV) that essentially represents the antidiabetic potential of a given plant. Seventeen such plants were prioritized in this way for scientific assessment by the CIHR-TAAM after interviewing 104 Cree elders/healers in four different communities of CEI.

Secondly, from the scientific point of view, results from the in vitro bioassay-based screening and the in vivo assessment of safety and efficacy can be used to rank plants according to their potential usefulness in the context of T2D. Table 1 presents a clear example of such a prioritization exercise using Boreal forest plants from the CIHR-TAAM project. Plant names have been codified in order to respect and preserve the intellectual property rights related to Aboriginal TM.

Plant identification
Elders' ranking3215

Biological activities related to primary actions against diabetesAnimalsDecrease blood glucose?
Reduce body weight?
Reduce fatty liver??
CellsMove glucose into muscle cells
Reduce glucose produced by liver cellsModerateModerate
Favour good fatModerate
Decrease glucose absorbed from foodModerate

Biological activities related to diabetes complicationsCell freeSafe to mix with drugsModerateModerateModerate
Fight bad oxygen, bad glucose
CellsFight inflammation
Protect nerves

Smiley faces: positive effect; : no effect; ?: yet undetermined. The data that forms the basis of this table has been collated from several studies that have already been published by our team [7375, 91, 94, 95, 104, 108, 117, 119, 120] as well as data (especially from in vivo studies) that have not yet been published (several currently under review). The names of plants must thus remain undisclosed to protect both the traditional knowledge shared by Cree Elders and the unpublished data.

In vivo animal models of obesity and T2D integrate all the pharmacodynamic (tissue, cellular, and molecular targets) and pharmacokinetic (absorption, distribution, metabolism, excretion) elements that will respond to, and impact on, putative antidiabetic plant preparations. Hence, it is logical to put a greater priority on positive results obtained in vivo in comparison to those obtained using in vitro bioassays. This explains why results obtained in animals with the various Boreal forest plants come at the top of the prioritization list in Table 1. In view of the pathophysiology of T2D discussed above, the maintenance of normal blood glucose levels is the primary goal of T2D therapy. Hence, the top outcome to prioritize in order to identify a plant as potentially antidiabetic relates to its ability to reduce blood sugar in a diabetic animal. As also mentioned in the background section, obesity is the single most significant determinant of the risk for T2D. Hence, the second parameter chosen to rank plants according to their antidiabetic potential relates to a given plant’s ability to reduce body weight. Thirdly, as discussed earlier, the ectopic accumulation of fat in the liver plays a significant role in the pathophysiology of insulin resistance and T2D, hence the inclusion of a given plant’s capacity to reduce hepatic steatosis in the ranking protocol.

Next, results of in vitro bioassays of direct antidiabetic biological activity can help rank plants according to their target tissue and biological action. As mentioned, skeletal muscle is the single most important tissue for glucose disposal in mammals. Uptake of glucose into muscle cells in culture was thus chosen as the first in vitro parameter to use in the prioritization scheme. Coming in a close second is the potential for plant preparations to reduce hepatic glucose production. That is why the combined effect of a given plant to inhibit glucose-6-phosphatase and to stimulate glycogen synthase (two key enzymes countering the production of glucose by the liver) was chosen to rank antidiabetic plants. Next, favoring the differentiation of adipocytes is a trait that was sought in medicinal plant preparations because of the associated capacity to store both glucose and free fatty acids where they are best preserved, to maintain normal glycaemia and reduce insulin resistance. Finally, inhibition of intestinal glucose transport in vitro holds promise for potential beneficial action to reduce glucose absorption.

Finally, what were coined “secondary antidiabetic biological activities” may also be considered when prioritizing medicinal plant species. Both Cree Elders and clinical endocrinologists involved in the clinical studies of the CIHR-TAAM have voiced their concern about using Cree TM alongside modern pharmaceuticals in the context of T2D. Therefore, the potential for plants to affect the metabolism of xenobiotics, notably drugs, must be taken into consideration since TM is often taken alongside conventional antidiabetic drugs. Inhibitory activity against recombinant human cytochromes P450 was thus included as an important parameter, with the least inhibition being the desired characteristic of prioritized medicinal plants. Cytoprotective action, notably towards cells of neuronal phenotype, is also important to consider in view of the T2D-associated complication, diabetic neuropathy. Neuroprotective activity was therefore measured and included as a parameter to rank antidiabetic plants. Last but not least, antioxidant, antiglycation, and anti-inflammatory activities were selected in view of the known involvement of oxidative stress and low-grade chronic inflammation in T2D.

As can be appreciated from Table 1, several plants of the Boreal forest that were identified through the novel ethnobotanical approach of the CIHR-TAAM exhibit very interesting combinations of primary and secondary antidiabetic activities. This confirms the validity of the ethnobotanical method and especially the great wisdom/value of Aboriginal healers and their traditional knowledge. However, the prioritization scheme presented in Table 1 is based solely on evidence-based scientific studies. It was therefore interesting and important to compare the results of this prioritization exercise with the perceptions of Cree Healers within their Aboriginal worldview and TM paradigm. When asked to prioritize plants from their TM perspective and to justify their choice, Cree healers spoke of their respect for a given plant and shared healing experiences that they had or witnessed with the same plant. Their prioritization was thus much more grounded in the spiritual realm, in personal experience, and natural laws. Notwithstanding how different the two worldviews can be, the most striking outcome was that the majority of plants ranking among the most promising antidiabetic plants, as prioritized by the scientific approach, were the same as those held to the greatest esteem by Cree healers, 4 out of 6. This speaks highly for a convergence of health parameters across cultural barriers. Instead of “validating” Cree TM (which may be seen as carrying negative connotations, especially from the Aboriginal TM perspective), the work of the CIHR-TAAM may rather find its value and usefulness in “translating” Aboriginal traditional knowledge into the language of evidence-based science that health authorities can better appreciate.


The studies of the CIHR Team in Aboriginal Antidiabetic Medicines were made possible by grants from the Canadian Institutes of Health Research and from the Natural Health Products Directorate of Health Canada. The Public Health Agency of Canada, through its Office of Biotechnology, Genomics and Population Health, is also acknowledged for their support. This work was conducted with the consent and support of the Cree of Eeyou Istchee (James Bay region of Quebec, Canada) and the Cree Board of Health and Social Services of James Bay. Very special thanks are due to elders and healers from the Cree Nation of Mistissini, from Whapmagoostui First Nation, from the Waskaganish First Nation, and from the Cree Nation of Nemaska who kindly agreed to be interviewed. They made this paper possible by allowing us to use, for the purposes of this research, their knowledge relating to medicinal plants, transmitted to them by their elders. Their trust has also enabled a useful exchange between indigenous knowledge and Western science.


  1. Diabetes Atlas, International Diabetes Federation, Brussels, Belgium, 2003.
  2. “Definition, diagnosis and classification of diabetes mellitus and its complications. Report of a WHO Consultation. Part 1: diagnosis and classification of diabetes mellitus,” Tech. Rep. number WHO/NCD/NCS/99.2, World Health Organization, Geneva, Switzerland, 1999. View at: Google Scholar
  3. “Prevention of diabetes mellitus,” WHO Technical Report Series number 844, World Health Organization, Geneva, Switzerland, 1994. View at: Google Scholar
  4. J. R. Gavin, K. G. M. M. Alberti, M. B. Davidson et al., “Report of the expert committee on the diagnosis and classification of diabetes mellitus,” Diabetes Care, vol. 26, no. 1, pp. S5–S20, 2003. View at: Google Scholar
  5. K. G. Alberti and P. Z. Zimmet, “Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation,” Diabetic Medicine, vol. 15, no. 7, pp. 539–553, 1998. View at: Publisher Site | Google Scholar
  6. R. A. DeFronzo and E. Ferrannini, “Insulin resistance: a multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease,” Diabetes Care, vol. 14, no. 3, pp. 173–194, 1991. View at: Google Scholar
  7. H. Gezairy, Guidelines for the Prevention, Management and Care of Diabetes Mellitus, vol. 32, WHO Regional Office for the Eastern Mediterranean, Geneva, Switzerland, 2006.
  8. C. D. A. C. P. G. E. Committee, “Canadian diabetes association 2008 clinical practice guidelines for the prevention and management of diabetes in Canada,” The Canadian Journal of Diabetes, vol. 32, supplement 1, pp. S1–S201, 2008. View at: Google Scholar
  9. G. C. Weir, D. R. Laybutt, H. Kaneto, S. Bonner-Weir, and A. Sharma, “β-cell adaptation and decompensation during the progression of diabetes,” Diabetes, vol. 50, no. 1, pp. S154–S159, 2001. View at: Google Scholar
  10. A. R. Saltiel and C. R. Kahn, “Insulin signalling and the regulation of glucose and lipid metabolism,” Nature, vol. 414, no. 6865, pp. 799–806, 2001. View at: Publisher Site | Google Scholar
  11. S. M. Hirabara, R. Curi, and P. Maechler, “Saturated fatty acid-induced insulin resistance is associated with mitochondrial dysfunction in skeletal muscle cells,” Journal of Cellular Physiology, vol. 222, no. 1, pp. 187–194, 2010. View at: Publisher Site | Google Scholar
  12. D. B. Savage, K. F. Petersen, and G. I. Shulman, “Disordered lipid metabolism and the pathogenesis of insulin resistance,” Physiological Reviews, vol. 87, no. 2, pp. 507–520, 2007. View at: Publisher Site | Google Scholar
  13. R. H. Unger, “Lipid overload and overflow: metabolic trauma and the metabolic syndrome,” Trends in Endocrinology and Metabolism, vol. 14, no. 9, pp. 398–403, 2003. View at: Publisher Site | Google Scholar
  14. R. H. Unger, “Minireview: weapons of lean body mass destruction: the role of ectopic lipids in the metabolic syndrome,” Endocrinology, vol. 144, no. 12, pp. 5159–5165, 2003. View at: Publisher Site | Google Scholar
  15. A. M. Rabuazzo, S. Piro, M. Anello, G. Patanè, and F. Purrello, “Glucotoxicity and lipotoxicity in the beta cell,” International Congress Series, vol. 1253, pp. 115–121, 2003. View at: Google Scholar
  16. A. Ceriello, “Oxidative stress and diabetes-associated complications,” Endocrine Practice, vol. 12, no. 1, pp. 60–62, 2006. View at: Google Scholar
  17. J. C. Pickup, “Inflammation and activated innate immunity in the pathogenesis of type 2 diabetes,” Diabetes Care, vol. 27, no. 3, pp. 813–823, 2004. View at: Publisher Site | Google Scholar
  18. T. E. Sonnett, T. L. Levien, B. J. Gates, J. D. Robinson, and R. K. Campbell, “Diabetes mellitus, inflammation, obesity: proposed treatment pathways for current and future therapies,” Annals of Pharmacotherapy, vol. 44, no. 4, pp. 701–711, 2010. View at: Publisher Site | Google Scholar
  19. S. T. M. Krishnan, C. Quattrini, M. Jeziorska, R. A. Malik, and G. Rayman, “Neurovascular factors in wound healing in the foot skin of type 2 diabetic subjects,” Diabetes Care, vol. 30, no. 12, pp. 3058–3062, 2007. View at: Publisher Site | Google Scholar
  20. H. Brem and M. Tomic-Canic, “Cellular and molecular basis of wound healing in diabetes,” Journal of Clinical Investigation, vol. 117, no. 5, pp. 1219–1222, 2007. View at: Publisher Site | Google Scholar
  21. K. G. M. M. Alberti, P. Zimmet, and J. Shaw, “Metabolic syndrome—a new world-wide definition. A consensus statement from the International Diabetes Federation,” Diabetic Medicine, vol. 23, no. 5, pp. 469–480, 2006. View at: Publisher Site | Google Scholar
  22. C. M. Alexander, P. B. Landsman, S. M. Teutsch, and S. M. Haffner, “NCEP-defined metabolic syndrome, diabetes, and prevalence of coronary heart disease among NHANES III participants age 50 years and older,” Diabetes, vol. 52, no. 5, pp. 1210–1214, 2003. View at: Publisher Site | Google Scholar
  23. D. B. Carr, K. M. Utzschneider, R. L. Hull et al., “Intra-abdominal fat is a major determinant of the National Cholesterol Education Program Adult Treatment Panel III criteria for the metabolic syndrome,” Diabetes, vol. 53, no. 8, pp. 2087–2094, 2004. View at: Publisher Site | Google Scholar
  24. S. M. Grundy, J. I. Cleeman, S. R. Daniels et al., “Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement,” Circulation, vol. 112, no. 17, pp. 2735–2752, 2005. View at: Publisher Site | Google Scholar
  25. R. S. Ahima, “Connecting obesity, aging and diabetes,” Nature Medicine, vol. 15, no. 9, pp. 996–997, 2009. View at: Publisher Site | Google Scholar
  26. J. T. Devlin, “Effects of exercise on insulin sensitivity in humans,” Diabetes Care, vol. 15, no. 11, pp. 1690–1693, 1992. View at: Google Scholar
  27. R. K. Dishman, Exercise Adherence: Its Impact on Public Health, vol. xiii, Human Kinetics, Champaign, Ill, USA, 1988.
  28. R. R. Henry, L. Scheaffer, and J. M. Olefsky, “Glycemic effects of intensive caloric restriction and isocaloric refeeding in noninsulin-dependent diabetes mellitus,” Journal of Clinical Endocrinology and Metabolism, vol. 61, no. 5, pp. 917–925, 1985. View at: Google Scholar
  29. O. K. Bhattacharyya, E. A. Estey, and A. Y. Y. Cheng, “Update on the Canadian Diabetes Association 2008 clinical practice guidelines,” The Canadian Family Physician, vol. 55, no. 1, pp. 39–43, 2009. View at: Google Scholar
  30. A. Loubatières, “The discovery of hypoglycemic sulfonamides and particularly of their action mechanism,” Acta Diabetologica Latina, vol. 6, pp. 20–56, 1969. View at: Google Scholar
  31. F. M. Ashcroft, “Mechanisms of the clycaemic effects of sulfonylureas,” Hormone and Metabolic Research, vol. 28, no. 9, pp. 456–463, 1996. View at: Google Scholar
  32. J. Bryan, A. Crane, W. H. Vila-Carriles, A. P. Babenko, and L. Aguilar-Bryan, “Insulin secretagogues, sulfonylurea receptors and KATP channels,” Current Pharmaceutical Design, vol. 11, no. 21, pp. 2699–2716, 2005. View at: Publisher Site | Google Scholar
  33. M. C. Riddle, “Glycemic management of type 2 diabetes: an emerging strategy with oral agents, insulins, and combinations,” Endocrinology and Metabolism Clinics of North America, vol. 34, no. 1, pp. 77–98, 2005. View at: Publisher Site | Google Scholar
  34. C. J. Bailey and C. Day, “Metformin: its botanical background,” Practical Diabetes International, vol. 21, no. 3, pp. 115–117, 2004. View at: Publisher Site | Google Scholar
  35. L. A. Witters, “The blooming of the French lilac,” Journal of Clinical Investigation, vol. 108, no. 8, pp. 1105–1107, 2001. View at: Publisher Site | Google Scholar
  36. D. M. Nathan, J. B. Buse, M. B. Davidson et al., “Medical management of hyperglycemia in type 2 diabetes: a consensus algorithm for the initiation and adjustment of therapy: a consensus statement of the American Diabetes Association and the European Association for the Study of Diabetes,” Clinical Diabetes, vol. 32, pp. 193–203, 2009. View at: Google Scholar
  37. S. Salpeter, E. Greyber, G. Pasternak, and E. Salpeter, “Risk of fatal and nonfatal lactic acidosis with metformin use in type 2 diabetes mellitus,” Cochrane Database of Systematic Reviews, no. 1, p. CD002967, 2006. View at: Google Scholar
  38. C. J. Bailey and R. C. Turner, “Metformin,” The New England Journal of Medicine, vol. 334, no. 9, pp. 574–579, 1996. View at: Google Scholar
  39. C. J. Glueck, R. N. Fontaine, P. Wang et al., “Metformin reduces weight, centripetal obesity, insulin, leptin, and low-density lipoprotein cholesterol in nondiabetic, morbidly obese subjects with body mass index greater than 30,” Metabolism, vol. 50, no. 7, pp. 856–861, 2001. View at: Publisher Site | Google Scholar
  40. R. R. Henry, “Thiazolidinediones,” Endocrinology and Metabolism Clinics of North America, vol. 26, no. 3, pp. 553–573, 1997. View at: Publisher Site | Google Scholar
  41. C. H. Lee, P. Olson, and R. M. Evans, “Minireview: lipid metabolism, metabolic diseases, and peroxisome proliferator-activated receptors,” Endocrinology, vol. 144, no. 6, pp. 2201–2207, 2003. View at: Publisher Site | Google Scholar
  42. M. Loviscach, N. Rehman, L. Carter et al., “Distribution of peroxisome proliferator-activated receptors (PPARs) in human skeletal muscle and adipose tissue: relation to insulin action,” Diabetologia, vol. 43, no. 3, pp. 304–311, 2000. View at: Google Scholar
  43. S. M. Gale, V. D. Castracane, and C. S. Mantzoros, “Energy homeostasis, obesity and eating disorders: recent advances in endocrinology,” Journal of Nutrition, vol. 134, no. 2, pp. 295–298, 2004. View at: Google Scholar
  44. H. Hauner, “The mode of action of thiazolidinediones,” Diabetes/Metabolism Research and Reviews, vol. 18, no. 2, pp. S10–S15, 2002. View at: Publisher Site | Google Scholar
  45. J. Q. Purnell and C. Weyer, “Weight effect of current and experimental drugs for diabetes mellitus: from promotion to alleviation of obesity,” Treatments in Endocrinology, vol. 2, no. 1, pp. 33–47, 2003. View at: Publisher Site | Google Scholar
  46. H. Bischoff, “Pharmacology of alpha-glucosidase inhibition,” European Journal of Clinical Investigation, vol. 24, supplement 3, pp. 3–10, 1994. View at: Google Scholar
  47. M. Hanefeld, “The role of acarbose in the treatment of non-insulin-dependent diabetes mellitus,” Journal of Diabetes and its Complications, vol. 12, no. 4, pp. 228–237, 1998. View at: Publisher Site | Google Scholar
  48. R. A. Harrigan, M. S. Nathan, and P. Beattie, “Oral agents for the treatment of type 2 diabetes mellitus: pharmacology, toxicity, and treatment,” Annals of Emergency Medicine, vol. 38, no. 1, pp. 68–78, 2001. View at: Publisher Site | Google Scholar
  49. R. Burcelin, M. Serino, and C. Cabou, “A role for the gut-to-brain GLP-1 dependent axis in the control of metabolism,” Current Opinion in Pharmacology, vol. 9, no. 6, pp. 744–752, 2009. View at: Publisher Site | Google Scholar
  50. T. Hansotia and D. J. Drucker, “GIP and GLP-1 as incretin hormones: Lessons from single and double incretin receptor knockout mice,” Regulatory Peptides, vol. 128, no. 2, pp. 125–134, 2005. View at: Publisher Site | Google Scholar
  51. E. J. Verspohl, “Novel therapeutics for type 2 diabetes: incretin hormone mimetics (glucagon-like peptide-1 receptor agonists) and dipeptidyl peptidase-4 inhibitors,” Pharmacology and Therapeutics, vol. 124, no. 1, pp. 113–138, 2009. View at: Publisher Site | Google Scholar
  52. J. M. Ekoe, J. P. Thouez, C. Petitclerc, P. M. Foggin, and P. Ghadirian, “Epidemiology of obesity in relationship to some chronic medical conditions among Inuit and Cree Indian populations in New Quebec, Canada,” Diabetes Research and Clinical Practice, vol. 10, supplement 1, pp. S17–S27, 1990. View at: Publisher Site | Google Scholar
  53. D. Garriguet, “Obesity and the eating habits of the Aboriginal population,” Health Reports, vol. 19, no. 1, pp. 21–35, 2008. View at: Google Scholar
  54. E. L. Kuzmina, D. Dannenbaum, and J. Torrie, Cree Diabetes Information System (CDIS): 2009 Annual Update, Public Health Report Series 3 on Diabetes, Cree Board of Health and Social Services of James Bay, Chisasibi, Québec, Canada, 2010, http://www.creehealth.org/clinical-protocols/cree-diabetes-information-system-cdis-2009-annual-report.
  55. J. P. Thouez, J. M. Ekoe, P. M. Foggin et al., “Obesity, hypertension, hyperuricemia and diabetes mellitus among the Cree and Inuit of northern Québec,” Arctic Medical Research, vol. 49, no. 4, pp. 180–188, 1990. View at: Google Scholar
  56. A. J. Hanley, S. B. Harris, M. Mamakeesick et al., “Complications of type 2 siabetes among aboriginal canadians: increasing the understanding of prevalence and risk factors,” The Canadian Journal of Diabetes, vol. 27, no. 4, pp. 455–463, 2003. View at: Google Scholar
  57. A. J. G. Hanley, S. B. Harris, M. Mamakeesick et al., “Complications of type 2 diabetes among aboriginal Canadians: prevalence and associated risk factors,” Diabetes Care, vol. 28, no. 8, pp. 2054–2057, 2005. View at: Publisher Site | Google Scholar
  58. S. Efrat, D. Fusco-DeMane, H. Lemberg, O. A. Emran, and X. Wang, “Conditional transformation of a pancreatic β-cell line derived from transgenic mice expressing a tetracycline-regulated oncogene,” Proceedings of the National Academy of Sciences of the United States of America, vol. 92, no. 8, pp. 3576–3580, 1995. View at: Google Scholar
  59. A. Benhaddou-Andaloussi, L. C. Martineau, D. Vallerand et al., “Multiple molecular targets underlie the antidiabetic effect of Nigella sativa seed extract in skeletal muscle, adipocyte and liver cells,” Diabetes, Obesity and Metabolism, vol. 12, no. 2, pp. 148–157, 2010. View at: Publisher Site | Google Scholar
  60. L. C. Martineau, A. Couture, D. Spoor et al., “Anti-diabetic properties of the Canadian lowbush blueberry Vaccinium angustifolium Ait,” Phytomedicine, vol. 13, no. 9-10, pp. 612–623, 2006. View at: Publisher Site | Google Scholar
  61. A. Benhaddou-Andaloussi, L. C. Martineau, D. Spoor et al., “Antidiabetic activity of Nigella sativa seed extract in cultured pancreatic β-cells, skeletal muscle cells, and adipocytes,” Pharmaceutical Biology, vol. 46, no. 1-2, pp. 96–104, 2008. View at: Publisher Site | Google Scholar
  62. H. Wallberg-Henriksson and J. R. Zierath, “GLUT4: a key player regulating glucose homeostasis? Insights from transgenic and knockout mice (review),” Molecular Membrane Biology, vol. 18, no. 3, pp. 205–211, 2001. View at: Publisher Site | Google Scholar
  63. E. J. Kurth-Kraczek, M. F. Hirshman, L. J. Goodyear, and W. W. Winder, “5' AMP-activated protein kinase activation causes GLUT4 translocation in skeletal muscle,” Diabetes, vol. 48, no. 8, pp. 1667–1671, 1999. View at: Publisher Site | Google Scholar
  64. L. Berti and S. Gammeltoft, “Leptin stimulates glucose uptake in C2C12 muscle cells by activation of ERK2,” Molecular and Cellular Endocrinology, vol. 157, no. 1-2, pp. 121–130, 1999. View at: Publisher Site | Google Scholar
  65. D. M. Calderhead, K. Kitagawa, L. I. Tanner, G. D. Holman, and G. E. Lienhard, “Insulin regulation of the two glucose transporters in 3T3-L1 adipocytes,” Journal of Biological Chemistry, vol. 265, no. 23, pp. 13800–13808, 1990. View at: Google Scholar
  66. P. Galante, L. Mosthaf, M. Kellerer et al., “Acute hyperglycemia provides an insulin-independent inducer for GLUT4 translocation in C2C12 myotubes and rat skeletal muscle,” Diabetes, vol. 44, no. 6, pp. 646–651, 1995. View at: Google Scholar
  67. V. Sarabia, T. Ramlal, and A. Klip, “Glucose uptake in human and animal muscle cells in culture,” Biochemistry and Cell Biology, vol. 68, no. 2, pp. 536–542, 1990. View at: Google Scholar
  68. O. M. Rosen, C. J. Smith, C. Fung, and C. S. Rubin, “Development of hormone receptors and hormone responsiveness in vitro. Effect of prolonged insulin treatment on hexose uptake in 3T3-L1 adipocytes,” Journal of Biological Chemistry, vol. 253, no. 20, pp. 7579–7583, 1978. View at: Google Scholar
  69. A. W. Harmon and J. B. Harp, “Differential effects of flavonoids on 3T3-L1 adipogenesis and lipolysis,” The American Journal of Physiology—Cell Physiology, vol. 280, no. 4, pp. C807–C813, 2001. View at: Google Scholar
  70. B. Ljung, K. Bamberg, B. Dahllof et al., “AZ 242, a novel PPARα/γ agonist with beneficial effects on insulin resistance and carbohydrate and lipid metabolism in ob/ob mice and obese zucker rats,” Journal of Lipid Research, vol. 43, no. 11, pp. 1855–1863, 2002. View at: Publisher Site | Google Scholar
  71. N. Norisada, H. Masuzaki, M. Fujimoto et al., “Antidiabetic and adipogenic properties in a newly synthesized thiazolidine derivative, FPFS-410,” Metabolism, vol. 53, no. 12, pp. 1532–1537, 2004. View at: Publisher Site | Google Scholar
  72. P. Tontonoz, E. Hu, and B. M. Spiegelman, “Regulation of adipocyte gene expression and differentiation by peroxisome proliferator activated receptor γ,” Current Opinion in Genetics and Development, vol. 5, no. 5, pp. 571–576, 1995. View at: Publisher Site | Google Scholar
  73. D. Harbilas, L. C. Martineau, C. S. Harris et al., “Evaluation of the antidiabetic potential of selected medicinal plant extracts from the Canadian boreal forest used to treat symptoms of diabetes: part II,” Canadian Journal of Physiology and Pharmacology, vol. 87, no. 6, pp. 479–492, 2009. View at: Publisher Site | Google Scholar
  74. L. C. Martineau, J. Herve, A. Muhamad et al., “Anti-adipogenic activities of Alnus incana and Populus balsamifera bark extracts, part I: sites and mechanisms of action,” Planta Medica, vol. 76, no. 13, pp. 1439–1446, 2010. View at: Publisher Site | Google Scholar
  75. L. C. Martineau, A. Muhammad, A. Saleem et al., “Anti-adipogenic activities of Alnus incana and Populus balsamifera bark extracts, part II: bioassay-guided identification of actives salicortin and oregonin,” Planta Medica, vol. 76, no. 14, pp. 1519–1524, 2010. View at: Publisher Site | Google Scholar
  76. C. Postic, R. Dentin, and J. Girard, “Role of the liver in the control of carbohydrate and lipid homeostasis,” Diabetes and Metabolism, vol. 30, no. 5, pp. 398–408, 2004. View at: Google Scholar
  77. C. Wu, D. A. Okar, J. Kang, and A. J. Lange, “Reduction of hepatic glucose production as a therapeutic target in the treatment of diabetes,” Current Drug Targets: Immune, Endocrine and Metabolic Disorders, vol. 5, no. 1, pp. 51–59, 2005. View at: Publisher Site | Google Scholar
  78. P. J. Klover and R. A. Mooney, “Hepatocytes: critical for glucose homeostasis,” International Journal of Biochemistry and Cell Biology, vol. 36, no. 5, pp. 753–758, 2004. View at: Publisher Site | Google Scholar
  79. I. Magnusson, D. L. Rothman, L. D. Katz, R. G. Shulman, and G. I. Shulman, “Increased rate of gluconeogenesis in type II diabetes mellitus. A 13C nuclear magnetic resonance study,” Journal of Clinical Investigation, vol. 90, no. 4, pp. 1323–1327, 1992. View at: Google Scholar
  80. A. Wajngot, V. Chandramouli, W. C. Schumann et al., “Quantitative contribution of gluconeogenesis to glucose production during fasting in type 2 diabetes mellitus,” Metabolism, vol. 50, no. 1, pp. 47–52, 2001. View at: Publisher Site | Google Scholar
  81. J. C. Lawrence and P. J. Roach, “New insights into the role and mechanism of glycogen synthase activation by insulin,” Diabetes, vol. 46, no. 4, pp. 541–547, 1997. View at: Google Scholar
  82. J. A. Thomas, K. K. Schlender, and J. Larner, “A rapid filter paper assay for UDPglucose-glycogen glucosyltransferase, including an improved biosynthesis of UDP-14C-glucose,” Analytical Biochemistry, vol. 25, no. C, pp. 486–499, 1968. View at: Google Scholar
  83. K. Vedavanam, S. Srijayanta, J. O'Reilly, A. Raman, and H. Wiseman, “Antioxidant action and potential antidiabetic properties of an isoflavonoid-containing soyabean phytochemical extract (SPE),” Phytotherapy Research, vol. 13, no. 7, pp. 601–608, 1999. View at: Publisher Site | Google Scholar
  84. M. Shimizu, Y. Kobayashi, M. Suzuki, H. Satsu, and Y. Miyamoto, “Regulation of intestinal glucose transport by tea catechins,” BioFactors, vol. 13, no. 1–4, pp. 61–65, 2000. View at: Google Scholar
  85. K. Johnston, P. Sharp, M. Clifford, and L. Morgan, “Dietary polyphenols decrease glucose uptake by human intestinal Caco-2 cells,” FEBS Letters, vol. 579, no. 7, pp. 1653–1657, 2005. View at: Publisher Site | Google Scholar
  86. K. Arakawa, T. Ishihara, A. Oku et al., “Improved diabetic syndrome in C57BL/KsJ-db/db mice by oral administration of the Na(+)-glucose cotransporter inhibitor T-1095,” The British Journal of Pharmacology, vol. 132, no. 2, pp. 578–586, 2001. View at: Google Scholar
  87. A. S. Wagman and J. M. Nuss, “Current therapies and emerging targets for the treatment of diabetes,” Current Pharmaceutical Design, vol. 7, no. 6, pp. 417–450, 2001. View at: Publisher Site | Google Scholar
  88. T. Asano, T. Ogihara, H. Katagiri et al., “Glucose transporter and Na+/glucose cotransporter as molecular targets of anti-diabetic drugs,” Current Medicinal Chemistry, vol. 11, no. 20, pp. 2717–2724, 2004. View at: Google Scholar
  89. K. Ueta, T. Ishihara, Y. Matsumoto et al., “Long-term treatment with the Na+-glucose cotransporter inhibitor T-1095 causes sustained improvement in hyperglycemia and prevents diabetic neuropathy in Goto-Kakizaki Rats,” Life Sciences, vol. 76, no. 23, pp. 2655–2668, 2005. View at: Publisher Site | Google Scholar
  90. “Drug biotransformation,” in Basic and Clinical Pharmacology, B. M. Katzung and S. B. Trevor, Eds., chapter 1.4, The McGraw-Hill, New York, NY, USA, 2009. View at: Google Scholar
  91. T. W. Tam, R. Liu, J. T. Arnason et al., “Actions of ethnobotanically selected Cree anti-diabetic plants on human cytochrome P450 isoforms and flavin-containing monooxygenase 3,” Journal of Ethnopharmacology, vol. 126, no. 1, pp. 119–126, 2009. View at: Publisher Site | Google Scholar
  92. P. Lubna, C. Hsiao-Pai, S. Jun, T. Ilir, S. Nanette, and K. George, “In vitro evidence of glucose-induced toxicity in GnRH secreting neurons: high glucose concentrations influence GnRH secretion, impair cell viability, and induce apoptosis in the GT1-1 neuronal cell line,” Fertility and Sterility, vol. 88, no. 4, pp. 1143–1149, 2007. View at: Publisher Site | Google Scholar
  93. J. W. Russell, K. A. Sullivan, A. J. Windebank, D. N. Herrmann, and E. L. Feldman, “Neurons undergo apoptosis in animal and cell culture models of diabetes,” Neurobiology of Disease, vol. 6, no. 5, pp. 347–363, 1999. View at: Publisher Site | Google Scholar
  94. C. S. Harris, J. Lambert, A. Saleem et al., “Antidiabetic activity of extracts from needle, bark, and cone of Picea glauca: organ-specific protection from glucose toxicity and glucose deprivation,” Pharmaceutical Biology, vol. 46, no. 1-2, pp. 126–134, 2008. View at: Publisher Site | Google Scholar
  95. D. C. Spoor, L. C. Martineau, C. Leduc et al., “Selected plant species from the Cree pharmacopoeia of northern Quebec possess anti-diabetic potential,” The Canadian Journal of Physiology and Pharmacology, vol. 84, no. 8-9, pp. 847–858, 2006. View at: Publisher Site | Google Scholar
  96. J. W. Baynes, “Role of oxidative stress in development of complications in diabetes,” Diabetes, vol. 40, no. 4, pp. 405–412, 1991. View at: Google Scholar
  97. G. Sudha and G. A. Ravishankar, “Involvement and interaction of various signaling compounds on the plant metabolic events during defense response, resistance to stress factors, formation of secondary metabolites and their molecular aspects,” Plant Cell, Tissue and Organ Culture, vol. 71, no. 3, pp. 181–212, 2002. View at: Publisher Site | Google Scholar
  98. X. Wu, G. R. Beecher, J. M. Holden, D. B. Haytowitz, S. E. Gebhardt, and R. L. Prior, “Lipophilic and hydrophilic antioxidant capacities of common foods in the United States,” Journal of Agricultural and Food Chemistry, vol. 52, no. 12, pp. 4026–4037, 2004. View at: Publisher Site | Google Scholar
  99. H. Wang, G. Cao, and R. L. Prior, “Total antioxidant capacity of fruits,” Journal of Agricultural and Food Chemistry, vol. 44, no. 3, pp. 701–705, 1996. View at: Google Scholar
  100. B. Ou, D. Huang, M. Hampsch-Woodill, J. A. Flanagan, and E. K. Deemer, “Analysis of antioxidant activities of common vegetables employing oxygen radical absorbance capacity (ORAC) and ferric reducing antioxidant power (FRAP) assays: a comparative study,” Journal of Agricultural and Food Chemistry, vol. 50, no. 11, pp. 3122–3128, 2002. View at: Publisher Site | Google Scholar
  101. V. Bondet, W. Brand-Williams, and C. Berset, “Kinetics and mechanisms of antioxidant activity using the DPPH• free radical method,” Lebensmittel-Wissenschaft und-Technologie, vol. 30, no. 6, pp. 609–615, 1997. View at: Google Scholar
  102. T. I. E. Committee, “Utility of the TBARS assay in detecting oxidative stress in white sucker (Catostomus commersoni) populations exposed to pulp mill effluent,” Aquatic Toxicology, vol. 63, no. 4, pp. 447–463, 2003. View at: Publisher Site | Google Scholar
  103. D. M. Nathan, “International expert committee report on the role of the A1C assay in the diagnosis of diabetes,” Diabetes Care, vol. 32, no. 7, pp. 1327–1334, 2009. View at: Publisher Site | Google Scholar
  104. C. S. Harris, L. P. Beaulieu, M. H. Fraser et al., “Inhibition of advanced glycation end product formation by medicinal plant extracts correlates with phenolic metabolites and antioxidant activity,” Planta Medica, vol. 77, no. 2, pp. 196–204, 2010. View at: Google Scholar
  105. S. A. Schreyer, S. C. Chua, and R. C. Leboeuf, “Obesity and diabetes in TNF-α receptor-deficient mice,” Journal of Clinical Investigation, vol. 102, no. 2, pp. 402–411, 1998. View at: Google Scholar
  106. J. Ma, T. Chen, J. Mandelin et al., “Regulation of macrophage activation,” Cellular and Molecular Life Sciences, vol. 60, no. 11, pp. 2334–2346, 2003. View at: Publisher Site | Google Scholar
  107. Y. Haddad, D. Vallerand, A. Brault, and P. S. Haddad, “Antioxidant and hepatoprotective effects of silibinin in a rat model of nonalcoholic steatohepatitis,” Evidence-Based Complementary and Alternative Medicine, vol. 2011, Article ID 647903, 10 pages, 2011. View at: Publisher Site | Google Scholar
  108. R. Vianna, A. Brault, L. C. Martineau, R. Couture, J. T. Arnason, and P. S. Haddad, “In vivo anti-diabetic activity of the ethanolic crude extract of sorbus decora C.K.Schneid. (Rosacea): a medicinal plant used by canadian James Bay Cree Nations to treat symptoms related to diabetes,” Evidence-Based Complementary and Alternative Medicine, vol. 2011, Article ID 237941, 7 pages, 2011. View at: Publisher Site | Google Scholar
  109. S. A. Schreyer, D. L. Wilson, and R. C. Leboeuf, “C57BL/6 mice fed high fat diets as models for diabetes-accelerated atherosclerosis,” Atherosclerosis, vol. 136, no. 1, pp. 17–24, 1998. View at: Publisher Site | Google Scholar
  110. M. S. Winzell and B. Ahren, “The high-fat diet-fed mouse: a model for studying mechanisms and treatment of impaired glucose tolerance and type 2 diabetes,” Diabetes, vol. 53, 3, pp. S215–S219, 2004. View at: Google Scholar
  111. P. I. Parekh, A. E. Petro, J. M. Tiller, M. N. Feinglos, and R. S. Surwit, “Reversal of diet-induced obesity and diabetes in C57BL/6J mice,” Metabolism, vol. 47, no. 9, pp. 1089–1096, 1998. View at: Publisher Site | Google Scholar
  112. R. S. Surwit, S. Wang, A. E. Petro et al., “Diet-induced changes in uncoupling proteins in obesity-prone and obesity-resistant strains of mice,” Proceedings of the National Academy of Sciences of the United States of America, vol. 95, no. 7, pp. 4061–4065, 1998. View at: Publisher Site | Google Scholar
  113. S. Collins, K. W. Daniel, A. E. Petro, and R. S. Surwit, “Strain-specific response to β3-adrenergic receptor agonist treatment of diet-induced obesity in mice,” Endocrinology, vol. 138, no. 1, pp. 405–413, 1997. View at: Publisher Site | Google Scholar
  114. T. Y. Reuter, “Diet-induced models for obesity and type 2 diabetes,” Drug Discovery Today: Disease Models, vol. 4, no. 1, pp. 3–8, 2007. View at: Publisher Site | Google Scholar
  115. B. Ahren, J. J. Holst, H. Martensson, and B. Balkan, “Improved glucose tolerance and insulin secretion by inhibition of dipeptidyl peptidase IV in mice,” European Journal of Pharmacology, vol. 404, no. 1-2, pp. 239–245, 2000. View at: Google Scholar
  116. A. L. Hildebrandt, D. M. Kelly-Sullivan, and S. C. Black, “Antiobesity effects of chronic cannabinoid CB1 receptor antagonist treatment in diet-induced obese mice,” European Journal of Pharmacology, vol. 462, no. 1–3, pp. 125–132, 2003. View at: Publisher Site | Google Scholar
  117. C. Leduc, J. Coonishish, P. Haddad, and A. Cuerrier, “Plants used by the Cree Nation of Eeyou Istchee (Quebec, Canada) for the treatment of diabetes: a novel approach in quantitative ethnobotany,” Journal of Ethnopharmacology, vol. 105, no. 1-2, pp. 55–63, 2006. View at: Publisher Site | Google Scholar
  118. T. A. de Sousa Araújo, N. L. Alencar, E. L. C. de Amorim, and U. P. de Albuquerque, “A new approach to study medicinal plants with tannins and flavonoids contents from the local knowledge,” Journal of Ethnopharmacology, vol. 120, no. 1, pp. 72–80, 2008. View at: Publisher Site | Google Scholar
  119. M. H. Fraser, A. Cuerrier, P. S. Haddad, J. T. Arnason, P. L. Owen, and T. Johns, “Medicinal plants of Cree communities (Quebec, Canada): antioxidant activity of plants used to treat type 2 diabetes symptoms,” The Canadian Journal of Physiology and Pharmacology, vol. 85, no. 11, pp. 1200–1214, 2007. View at: Google Scholar
  120. L. A. Nistor Baldea, L. C. Martineau, A. Benhaddou-Andaloussi, J. T. Arnason, E. Levy, and P. S. Haddad, “Inhibition of intestinal glucose absorption by anti-diabetic medicinal plants derived from the James Bay Cree traditional pharmacopeia,” Journal of Ethnopharmacology, vol. 132, no. 2, pp. 473–482, 2010. View at: Publisher Site | Google Scholar

Copyright © 2012 Pierre S. Haddad et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

More related articles

 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.