Metabolic Syndrome And Chiropractic
Metabolic Syndrome:
Key indexing terms:
- Metabolic syndrome X
- Insulin resistance
- Hyperglycemia
- Inflammation
- Weight loss
Abstract
Objective: This article presents an overview of metabolic syndrome (MetS), which is a collection of risk factors that can lead to diabetes, stroke, and heart disease. The purposes of this article are to describe the current literature on the etiology and pathophysiology of insulin resistance as it relates to MetS and to suggest strategies for dietary and supplemental management in chiropractic practice.
Methods: The literature was searched in PubMed, Google Scholar, and the Web site of the American Heart Association, from the earliest date possible to May 2014. Review articles were identified that outlined pathophysiology of MetS and type 2 diabetes mellitus (T2DM) and relationships among diet, supplements, and glycemic regulation, MetS, T2DM, and musculoskeletal pain.
Results: Metabolic syndrome has been linked to increased risk of developing T2DM and cardiovascular disease and increased risk of stroke and myocardial infarction. Insulin resistance is linked to musculoskeletal complaints both through chronic inflammation and the effects of advanced glycosylation end products. Although diabetes and cardiovascular disease are the most well-known diseases that can result from MetS, an emerging body of evidence demonstrates that common musculoskeletal pain syndromes can be caused by MetS.
Conclusions: This article provides an overview of lifestyle management of MetS that can be undertaken by doctors of chiropractic by means of dietary modification and nutritional support to promote blood sugar regulation.
Introduction: Metabolic Syndrome
Metabolic syndrome (MetS) has been described as a cluster of physical examination and laboratory findings�that directly increases the risk of degenerative metabolic disease expression. Excess visceral adipose tissue, insulin resistance, dyslipidemia, and hypertension are conditions that significantly contribute to the syndrome. These conditions are united by a pathophysiological basis in low-grade chronic inflammation and increase an individual’s risk of cardiovascular disease, type 2 diabetes mellitus (T2DM), and all-cause mortality.1
The National Health and Nutrition Examination Survey (NHANES) 2003-2006 estimated that approximately 34% of United States adults aged 20 years and more had MetS.2 The same NHANES data found that 53% had abdominal adiposity, a condition that is closely linked to visceral adipose stores. Excess visceral adiposity generates increased systemic levels of pro-inflammatory mediator molecules. Chronic, low- grade inflammation has been well documented as an associated and potentially inciting factor for the development of insulin resistance and T2DM.1
NHANES 2003-2006 data showed that 39% of subjects met criteria for insulin resistance. Insulin resistance is a component of MetS that significantly contributes to the expression of chronic, low-grade inflammation and predicts T2DM expression. T2DM costs the United States in excess of $174 billion in 2007. 3 It is estimated that 1 in 4 adults will have T2DM by the year 2050.3 Currently, more than one third of US adults (34.9%) are obese, 4 and, in 2008, the annual medical cost of obesity was $147 billion.4,5 This clearly represents a health care concern.
The pervasiveness of MetS dictates that doctors of chiropractic will see a growing proportion of patients who fit the syndrome criteria.6 Chiropractic is most commonly used for musculoskeletal complaints believed to be mechanical in nature;6 however, an emerging body of evidence identifies MetS as a biochemical promoter of musculoskeletal complaints such as neck pain, shoulder pain, patella tendinopathy, and widespread musculoskeletal pain. 7�13 As an example, the cross-linking of collagen fibers can be caused by increased advanced glycation end-product (AGE) formation as seen in insulin resistance.14 Increased collagen cross-linking is observed in both osteoarthritis and degenerative disc disease, 15 and reduced mobility in elderly patients with T2DM has also been attributed to AGE-induced collagen cross-linking. 16,17
A diagnosis of MetS is made from a patient having 3 of the 5 findings presented in Table 1. Fasting hyperglycemia is termed impaired fasting glucose and indicates insulin resistance. 18,19 An elevated hemoglobin A1c (HbA1c) level measures long-term blood glucose�regulation and is diagnostic for T2DM when elevated in the presence of impaired fasting glucose. 3,18
The emerging evidence demonstrates that we cannot view musculoskeletal pain as only coming from conditions that are purely mechanical in nature. Doctors of chiropractic must demonstrate prowess in identification and management of MetS and an understanding of insulin resistance as its main pathophysiological feature. The purposes of this article are to describe the current literature on the etiology and pathophysiology of insulin resistance as it relates to MetS and to suggest strategies for dietary and supplemental management in chiropractic practice.
Methods
PubMed was searched from the earliest possible date to May 2014 to identify review articles that outlined the pathophysiology of MetS and T2DM. This led to further search refinements to identify inflammatory mechanisms that occur in the pancreas, adipose tissue, skeletal muscle, and hypothalamus. Searches were also refined to identify relationships among diet, supplements, and glycemic regulation. Both animal and human studies were reviewed. The selection of specific supplements was based on those that were most commonly used in the clinical setting, namely, gymnema sylvestre, vanadium, chromium and ?-lipoic acid.
Discussion
Insulin Resistance Overview
Under normal conditions, skeletal muscle, hepatic, and adipose tissues require the action of insulin for cellular glucose entry. Insulin resistance represents an inability of insulin to signal glucose passage into insulin-dependent cells. Although a genetic predisposition can exist, the�etiology of insulin resistance has been linked to chronic low-grade inflammation.1 Combined with insulin resistance-induced hyperglycemia, chronic low-grade inflammation also sustains MetS pathophysiology.1
Two thirds of postprandial blood glucose metabolism occurs within skeletal muscle via an insulin-dependent mechanism.18,19 Insulin binding to its receptor triggers glucose entry and subsequently inhibits lipolysis within the target tissue.21,22 Glucose enters skeletal muscles cells by way of a glucose transporter designated Glut4. 18 Owing to genetic variability, insulin-mediated glucose uptake can vary more than 6-fold among non-diabetic individuals. 23
Prolonged insulin resistance leads to structural changes within skeletal muscle such as decreased Glut4 transporter number, intramyocellular fat accu- mulation, and a reduction in mitochondrial con- tent.19,24 These events are thought to impact energy generation and functioning of affected skeletal mus- cle.24 Insulin-resistant skeletal muscle is less able to suppress lipolysis in response to insulin binding.25 Subsequently, saturated free fatty acids accumulate and generate oxidative stress. 22 The same phenomenon within adipose tissue generates a rapid adipose cell expansion and tissue hypoxia.26 Both these processes increase inflammatory pathway activation and the generation of proinflammatory cytokines (PICs).27
Multiple inflammatory mediators are associated with the promotion of skeletal muscle insulin resistance. The PICs tumor necrosis factor ? (TNF-?), interleukin 1 (IL- 1), and IL-6 have received much attention because of their direct inhibition of insulin signaling.28�30 Since cytokine testing is not performed clinically, elevated levels of high- sensitivity C-reactive protein (hsCRP) best represent the low-grade systemic inflammation that characterizes insulin resistance.31,32
Insulin resistance�induced hyperglycemia can lead to irreversible changes in protein structure, termed glycation, and the formation of AGEs. Cells such as those of the vascular endothelium are most vulnerable to hyperglycemia due to utilization of an insulin-independent Glut1 transporter. 33 This makes AGE generation responsible for most diabetic complications, 15,33,34 including collagen cross-linking.15
If unchanged, prolonged insulin resistance can lead to T2DM expression. The relationship between chronic low-grade inflammation and T2DM has been well characterized. 35 Research has demonstrated that patients with T2DM also have chronic inflammation within the pancreas, termed insulitis, and it worsens hyperglycemia due to the progressive loss of insulin- producing ? cells.36�39
Visceral Adiposity And Insulin Resistance
Caloric excess and a sedentary lifestyle contribute to the accumulation of subcutaneous and visceral adipose tissue. Adipose tissue was once thought of as a metabolically inert passive energy depot. A large body of evidence now demonstrates that excess visceral adipose tissue acts as a driver of chronic low-grade inflammation and insulin resistance.27,34
It has been documented that immune cells infiltrate rapidly expanding visceral adipose tissue. 26,40 Infil- trated macrophages become activated and release PICs that ultimately cause a phenotypic shift in resident macrophage phenotype to a classic inflammatory M1 profile.27 This vicious cycle creates a chronic inflam- matory response within adipose tissue and decreases the production of adipose-derived anti-inflammatory cytokines.43 As an example, adiponectin is an adipose- derived anti-inflammatory cytokine. Macrophage- invaded adipose tissue produces less adiponectin, and this has been correlated with increasing insulin resistance. 26
Hypothalamic Inflammation And Insulin Resistance
Eating behavior in the obese and overweight has been popularly attributed to a lack of will power or genetics. However, recent research has demonstrated a link between hypothalamic inflammation and increased body weight.41,41
Centers that govern energy balance and glucose homeostasis are located within the hypothalamus. Recent studies demonstrate that inflammation in the hypothalamus coincides with metabolic inflammation and an increase in appetite.43 These hypothalamic centers simultaneously become resistant to anorexigenic stimuli, leading to altered energy intake. It has been suggested that this provides a neuropathological basis for MetS and drives a progressive increase in body weight. 41
Central metabolic inflammation pathologically activates hypothalamic immune cells and disrupts central insulin and leptin signaling.41 Peripherally, this has been associated with dysregulated glucose homeostasis that also impairs pancreatic ? cell functioning.41,44 Hypothalamic inflammation contributes to hypertension through similar mechanisms, and it is thought that central inflammation parallels chronic low-grade systemic inflammation and insulin resistance.41�44
Clinical Correlates Diet-Induced Inflammation & Insulin Resistance
Feeding generally leads to a short-term increase in both oxidative stress and inflammation. 41 Total�calories consumed, glycemic index, and fatty acid profile of a meal all influence the degree of postprandial inflammation. It is estimated that the average American consumes approximately 20% of calories from refined sugar, 20% from refined grains and flour, 15% to 20% from excessively fatty meat products, and 20% from refined seed/legume oils.45 This pattern of eating contains a macronutrient composition and glycemic index that promote hyperglycemia, hyperlipemia, and an acute postprandial inflammatory response. 46 Collectively referred to as postprandial dysmetabolism, this pro-inflammatory response can sustain levels of chronic low-grade inflammation that leads to excess body fat, coronary heart disease (CHD), insulin resistance, and T2DM.28,29,47
Recent evidence suggests that several MetS criteria may not sufficiently identify all individuals with postprandial dysmetabolism. 48,49 A 2-hour oral glucose tolerance test (2-h OGTT) result greater than 200 mg/dL can be used clinically to diagnose T2DM. Although MetS includes a fasting blood glucose level less than 100 mg/dL, population studies have shown that a fasting glucose as low as 90 mg/dL can be associated with an 2-h OGTT level greater than 200 mg/dL.49 Further, a recent large cohort study indicated that an increased 2-h OGTT was independently predictive of cardiovascular and all-cause mortality in a nondiabetic population. 48 Mounting evidence indicates that post- prandial glucose levels are better correlated with MetS and predicting future cardiovascular events than fasting blood glucose alone.41,48
Fasting triglyceride levels generally correlate with postprandial levels, and a fasting triglyceride level greater than 150 mg/dL reflects MetS and insulin resistance. Contrastingly, epidemiologic data indicate that a fasting triglyceride level greater than 100 mg/dL influences CHD risk via postprandial dysmetabolism. 48 The acute postprandial inflammatory response that contributes to CHD risk includes an increase in PICs, free radicals, and hsCRP.48,49 These levels are not measured clinically but, monitoring fasting glucose, 2-hour postprandial glucose and fasting triglycerides can be used as correlates of postprandial dysmetabolic and low-grade systemic inflammation.
MetS And Disease Expression
Diagnosis of MetS has been linked to an increased risk of developing T2DM and cardiovascular disease over the following 5 to 10 years. 1 It further increases a patient’s risk of stroke, myocardial infarction, and death from any of the aforementioned conditions.1
Facchini et al47 followed 208 apparently healthy, non-obese subjects for 4 to 11 years while monitoring the incidence of clinical events such as hypertension, stroke, CHD, cancer, and T2DM. Approximately one fifth of participants experienced clinical events, and all of these subjects were either classified as intermediately or severely insulin resistant. It is important to note that all of these clinical events have a pathological basis in chronic low-grade inflammation,50 and no events were experienced in the insulin-sensitive groupings. 47
Insulin resistance is linked to musculoskeletal com- plaints both through chronic inflammation and the effects of AGEs. Advanced glycation end-products have been shown to extensively accumulate in osteoarthritic cartilage and treatment of human chondrocytes with AGEs increased their catabolic activity. 51 Advanced glycation end-products increase collagen stiffness via cross-linking and likely contribute to reduced joint mobility seen in elderly patients with T2DM.52 Com- pared to non-diabetics, type II diabetic patients are known to have altered proteoglycan metabolism in their intervertebral discs. This altered metabolism may pro- mote weakening of the annular fibers and subsequently, disc herniation.53 The presence of T2DM increases a person’s risk of expressing disc herniation in both the cervical and lumbar spines.17,54 Patients with T2DM are also more likely to develop lumbar stenosis compared with non-diabetics, and this has been documented as a plausible relationship between MetS risk factors and physician-diagnosed lumbar disc herniation. 55�57
There are no specific symptoms that denote early skeletal muscle structural changes. Fatty infiltration and decreased muscle mitochondria content are observed within age-related sarcopenia 58 ; however, it is still being argued whether fatty infiltration is a risk factor for low back pain. 59,60
Clinical management of MetS should be geared toward improving insulin sensitivity and reducing chronic low-grade inflammation. 1 Regular exercise without weight loss is associated with reduced insulin resistance, and at least 30 minutes of aerobic activity and resistance training is recommended daily. 61,62 Although frequently considered preventative, exercise, dietary, and weight loss interventions should be considered alongside pharmacological management in those with MetS. 1
Data regarding the exact amount of weight loss needed to improve chronic inflammation are inconclusive. In overweight individuals without diagnosed MetS, a very-low-carbohydrate diet (b 10% calories from carbohydrate) has significantly reduced plasma inflammatory markers (TNF-?, hsCRP, and IL-6) with�as little as 6% reduction in body weight.63,64 Individuals who meet MetS criteria may require 10% to 20% body weight loss to reduce inflammatory markers. 65 Interestingly, the Mediterranean Diet has been shown to reduce markers of systemic inflammation independent of weight loss65 and was recommended in the American College of Cardiology and American Heart Association Adult Treatment Panel 4 guidelines.66
A growing body of research has examined the effects of the Spanish ketogenic Mediterranean diet, including olive oil, green vegetables and salads, fish as the primary protein, and moderate red wine consumption. In a sample of 22 patients, adoption of the Spanish ketogenic Mediterranean diet with 9 g of supplemental salmon oil on days when fish was not consumed has led to complete resolution of MetS.67 Significant reductions in markers of chronic systemic inflammation were seen in 31 patients following this diet for 12 weeks.68
A Paleolithic diet based on lean meat, fish, fruits, vegetables, root vegetables, eggs, and nuts has been described as more satiating per calorie than a diabetes diet in patients with T2DM.69 In a randomized crossover study, a Paleolithic diet resulted in lower mean HbA1c values, triglycerides, diastolic blood pressure, waist circumference, improved glucose tolerance, and higher high-density lipoprotein (HDL) values compared to a diabetes diet.70 Within the context of these changes, a referral for medication management may be advisable.
Irrespective of name, a low-glycemic diet that focuses on vegetables, fruits, lean meats, omega-3 fish, nuts, and tubers can be considered anti-inflammatory and has been shown to ameliorate insulin resistance. 49,71�73 Inflammatory markers and insulin resistance further improve when weight loss coincides with adherence to an anti-inflammatory diet.70 A growing body of evidence suggests that specific supplemental nutrients also reduce insulin resistance and improve chronic low-grade inflammation.
Key Nutrients That Promote Insulin Sensitivity
Research has identified nutrients that play key roles in promoting proper insulin sensitivity, including vitamin D, magnesium, omega-3 (n-3) fatty acids, curcumin, gymnema, vanadium, chromium, and ?-lipoic acid. It is possible to get adequate vitamin D from sun exposure and adequate amounts of magnesium and omega-3 fatty acids from food. Contrastingly, the therapeutic levels of chromium and ?-lipoic acid that affect insulin sensitivity and reduce�insulin resistance cannot be obtained in food and must be supplemented.
Vitamin D, Magnesium, Omega-3 Fatty Acids, & Curcumin
Vitamin D, magnesium, and n-3 fatty acids have multiple functions, and generalized inflammation reduction is a common mechanism of action.74�80 Their supplemental use should be considered in the context of low-grade inflammation reduction and health promotion, rather than as a specific treatment for MetS or T2DM.
Evidence pertaining to the precise role of vitamin D in MetS and insulin resistance is inconclusive. Increas- ing dietary and supplemental vitamin D intake in young men and women may lower the risk of MetS and T2DM development,81 and a low serum vitamin D level has been associated with insulin resistance and T2DM expression. 82 Supplementation to improve low serum vitamin D (reference range, 32-100 ng/mL) is effective, but its impact on improving central glycemia and insulin sensitivity is conflicting. 83 Treating insulin resistance and MetS with vitamin D as a monotherapy appears to be unsuccessful. 82,83 Achieving normal vitamin D blood levels through adequate sun exposure and/or supplementation is advised for general health. 84�86
The average American diet commonly contains a low magnesium intake.80 Recent studies suggest that supple- mental magnesium can improve insulin sensitivity. 81,82 Taking 365 mg/d may be effective in reducing fasting glucose and raising HDL cholesterol in T2DM,83 as well as normomagnesemic, overweight, nondiabetics. 84
Diets high in the omega-6 fat linoleic acid have been associated with insulin resistance85 and higher levels of serum pro-inflammatory mediator markers including IL-6, IL-1?, TNF-?, and hsCRP.87 Supplementation to increase dietary omega-3 fatty acids at the expense of omega-6 fatty acids has been shown to improve insulin sensitivity. 88�90 Six months of omega-3 supplementation at 3 g/d with meals has been shown to reduce MetS markers including fasting triglycerides, HDL cholesterol, and an increase in anti-inflammatory adiponectin. 91
Curcumin is responsible for the yellow pigmentation of the spice turmeric. Its biological effects can be characterized as antidiabetic and antiobesity via down- regulating TNF-?, suppressing nuclear factor ?B activation, adipocytokine expression, and leptin level modulation,. 92�95 Curcumin has been reported to activate peroxisome proliferator-activated receptor-?, the nuclear target of the thiazolidinedione class of antidiabetic drugs,93 and it also protects hepatic and pancreatic cells. 92,93 Numerous studies have reported�weight loss, hsCRP reduction, and improved insulin sensitivity after curcumin supplementation.92�95
There is no established upper limit for curcumin, and doses of up to 12 g/d are safe and tolerable in humans. 96 A randomized, double-blinded, placebo- controlled trial (N = 240) showed a reduced progression of prediabetes to T2DM after 9 months of 1500 mg/d curcumin supplementation.97
Curcumin, 98 vitamin D, 84 magnesium, 91 and omega-3 fatty acids80 are advocated as daily supplements to promote general health. A growing body of evidence supports the views of Gymnema sylvestre, vanadium, chromium, and ?-lipoic acid should as therapeutic supplements to assist in glucose homeostasis.
G Sylvestre
Gymnemic acids are the active component of the G sylvestre plant leaves. Gymnemic acids are the active component of the G sylvestre plant leaves. Studies evaluating G sylvestre’s effects on diabetes in humans have generally been of poor methodological quality. Experimental animal studies have found that gymnemic acids may decrease glucose uptake in the small intestine, inhibit gluconeogenesis, and reduce hepatic and skeletal muscle insulin resistance.99 Other animal studies suggest that gymnemic acids may have comparable efficacy in reducing blood sugar levels to the first-generation sulfonylurea, tolbutamide.100
Evidence from open-label trials suggests its use as a supplement to oral antidiabetic hypoglycemic agents. 96 One quarter of patients were able to discontinue their drug and maintain normal glucose levels on an ethanolic gymnema extract alone. Although the evidence to date suggests its use in humans and animals is safe and well tolerated, higher quality human studies are warranted.
Vanadyl Sulfate
Vanadyl sulfate has been reported to prolong the events of insulin signaling and may actually improve insulin sensitivity.101 Limited data suggest that it inhibits gluconeogenesis, possibly ameliorating hepatic insulin resistance. 100,101 Uncontrolled clinical trials have reported improvements in insulin sensitivity using 50 to 300 mg daily for periods ranging from 3 to 6 weeks. 101�103 Contrastingly, a recent randomized, double-blind, placebo-controlled trial found that 50 mg of vanadyl sulfate twice daily for 4 weeks had no effect in individuals with impaired glucose tolerance. 104 Limited clinical and experimental data exist supporting the use of vanadyl sulfate to improve insulin resistance,�and further research is warranted regarding its safety and efficacy.
Chromium
Diets high in refined sugar and flour are deficient in chromium (Cr) and lead to an increased urinary excretion of chromium. 105,106 The progression of MetS is not likely caused by a chromium deficiency, 107 and dosages that benefit glycemic regulation are not achievable through food. 106,108,109
A recent randomize, double-blind trial demonstrated that 1000 ?g Cr per day for 8 months improved insulin sensitivity by 10% in subjects with T2DM.110 Cefalu et al110 further suggested that these improvements might be more applicable to patients with a greater degree of insulin resistance, impaired fasting plasma glucose, and higher HbA1c values. Chromium’s mechanism of action for improving insulin sensitivity is through increased Glut4 translocation via prolonging insulin receptor signaling.109 Chromium has been well tolerated at 1000 ?g/d,105 and animal models using significantly more than 1000 ? Cr per day were not associated with toxicological consequences.109
?-Lipoic Acid
Humans derive ?-lipoic acid through dietary means and from endogenous synthesis. 111 The foods richest in ?-lipoic acid are animal tissues with extensive metabolic activity such as animal heart, liver, and kidney, which are not consumed in large amounts in the typical American diet. 111 Supplemental amounts of ?-lipoic acid used in the treatment of T2DM (300-600 mg) are likely to be as much as 1000 times greater than the amounts that could be obtained from the diet.112
Lipoic acid synthase (LASY) appears to be the key enzyme involved in the generation of endogenous lipoic acid, and obese mice with diabetes have reduced LASY expression when compared with age-and sex- matched controls.111 In vitro studies to identify potential inhibitors of lipoic acid synthesis suggest a role for diet-induced hyperglycemia and the PIC TNF- ? in the down-regulation of LASY.113 The inflammatory basis of insulin resistance may therefore drive lowered levels of endogenous lipoic acid via reducing the activity of LASY.
?-Lipoic acid has been found to act as insulin mimetic via stimulating Glut4-mediated glucose trans- port in muscle cells. 110,114?-Lipoic acid is a lipophilic free radical scavenger and may affect glucose homeostasis through protecting the insulin receptor from damage114 and indirectly via decreasing nuclear factor ?B�mediated TNF-? and IL-1 production. 110 In�postmenopausal women with MetS (presence of at least 3 ATPIII clinical criteria) 4 g/d of a combined inositol and ?-lipoic acid supplement for 6 months significantly improved OGTT scores by 20% in two thirds of the subjects. 114 A recent randomized double-blinded placebo-controlled study showed that 300 mg/d ?- lipoic acid for 90 days significantly decreased HbA1c values in subjects with T2DM.115
Side effects to ?-lipoic acid supplementation as high as 1800 mg/d have largely been limited to nausea. 116 It may be best to take supplemental ?-lipoic acid on an empty stomach (1 hour before or 2 hours after eating) because food intake reportedly reduces its bioavailability.117 Clinicians should be aware that ?-lipoic acid supplementation might increase the risk of hypoglycemia in diabetic patients using insulin or oral antidiabetic agents.117
Limitations
This is a narrative overview of the topic of MetS. A systematic review was not performed; therefore, there may be relevant information missing from this review. The contents of this overview focuses on the opinions of the authors, and therefore, others may disagree with our opinions or approaches to management. This overview is limited by the studies that have been published. To date, no studies have been published that identify the effectiveness of a combination of a dietary intervention, such as the Spanish ketogenic diet, and nutritional supplementation on the expression of the MetS. Similarly, this approach has not been studied in patients with musculoskeletal pain who also have the MetS. Consequently, the information presented in this article is speculative. Longitudinal studies are needed before any specific recommendations can be made for patients with musculoskeletal that may be influenced by the MetS.
Conclusion: Metabolic Syndrome
This overview suggests that MetS and type 2 diabetes are complex conditions, and their prevalence is expected to increase substantially in the coming years. Thus, it is important to identify if the MetS may be present in patients who are nonresponsive to manual care and to help predict who may not respond adequately.
We suggest that diet and exercise are essential to managing these conditions, which can be supported with key nutrients, such as vitamin D, magnesium, and�omega-3 fatty acids. We also suggest that curcumin, G sylvestre, vanadyl sulfate chromium, and ?-lipoic acid could be viewed as specific nutrients that may be taken during the process of restoring appropriate insulin sensitivity and signaling.
Chiropractic Care
David R. Seaman DC, MS,?, Adam D. Palombo DC
Professor, Department of Clinical Sciences, National University of Health Sciences, Pinellas Park, FL Private Chiropractic Practice, Newburyport, MA
Funding Sources and Conflicts of Interest
No funding sources were reported for this study. David Seaman is a paid consultant for Anabolic Laboratories, a manufacturer of nutritional products for health care professionals. Adam Palombo was sponsored and remunerated by Anabolic laboratories to speak at chiropractic conventions/meetings.
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There are 3 known types of negative reactions to wheat proteins, collectively known as wheat protein reactivity: wheat allergy (WA), gluten sensitivity (GS),�and celiac disease (CD). Of the 3, only CD is known to involve autoimmune reactivity, generation of antibodies, and intestinal mucosal damage. Wheat allergy involves the release of histamine by way of immunoglobulin (Ig) E cross-linking with gluten peptides and presents within hours after ingestion of wheat proteins. Gluten sensitivity is considered to be a diagnosis of exclusion; sufferers improve symptomatically with a gluten-free diet (GFD) but do not express antibodies or IgE reactivity.1
A 28-year-old man presented to a chiropractic teaching clinic with complaints of constant muscle fasciculations of 2 years� duration. The muscle fasciculations originally started in the left eye and remained there for about 6 months. The patient then noticed that the fasciculations began to move to other areas of his body. They first moved into the right eye, followed by the lips,�and then to the calves, quadriceps, and gluteus muscles. The twitching would sometimes occur in a single muscle or may involve all of the above muscles simultaneously. Along with the twitches, he reports a constant �buzzing� or �crawling� feeling in his legs. There was no point during the day or night when the twitches ceased.
Discussion
The authors could not find any published case studies related to a presentation such as the one�described here. We believe this is a unique presentation of wheat protein reactivity and thereby represents a contribution to the body of knowledge in this field.
This report describes improvement in chronic, widespread muscle fasciculations and various other systemic symptoms with dietary change. There is strong suspicion that this case represents one of
Nutrition is increasingly recognized as a key component of optimal sporting performance, with both the science and practice of sports nutrition developing rapidly.1 Recent studies have found that a planned scientific nutritional strategy (consisting of fluid, carbohydrate, sodium, and caffeine) compared with a self-chosen nutritional strategy helped non-elite runners complete a marathon run faster2 and trained cyclists complete a time trial faster.3 Whereas training has the greatest potential to increase performance, it has been estimated that consumption of a carbohydrate�electrolyte drink or relatively low doses of caffeine may improve a 40 km cycling time trial performance by 32�42 and 55�84 seconds, respectively.4
Carbohydrate ingestion has been shown to improve performance in events lasting approximately 1 hour.6 A growing body of evidence also demonstrates beneficial effects of a carbohydrate mouth rinse on performance.22 It is thought that receptors in the oral cavity signal to the central nervous system to positively modify motor output.23
The �train-low, compete-high� concept is training with low carbohydrate availability to promote adaptations such as�enhanced activation of cell-signaling pathways, increased mitochondrial enzyme content and activity, enhanced lipid oxidation rates, and hence improved exercise capacity.26 However, there is no clear evidence that performance is improved with this approach.27 For example, when highly trained cyclists were separated into once-daily (train-high) or twice-daily (train-low) training sessions, increases in resting muscle glycogen content were seen in the low-carbohydrate- availability group, along with other selected training adaptations.28 However, performance in a 1-hour time trial after 3 weeks of training was no different between groups. Other research has produced similar results.29 Different strategies have been suggested (eg, training after an overnight fast, training twice per day, restricting carbohydrate during recovery),26 but further research is needed to establish optimal dietary periodization plans.27
There has been a recent resurgence of interest in fat as a fuel, particularly for ultra endurance exercise. A high-carbohydrate strategy inhibits fat utilization during exercise,30 which may not be beneficial due to the abundance of energy stored in the body as fat. Creating an environment that optimizes fat oxidation potentially occurs when dietary carbohydrate is reduced to a level that promotes ketosis.31 However, this strategy may impair performance of high-intensity activity, by contributing to a reduction in pyruvate dehydrogenase activity and glycogenolysis. 32 The lack of performance benefits seen in studies investigating �high-fat� diets may be attributed to inadequate carbohydrate restriction and time for adaptation.31 Research into the performance effects of high fat diets continues.
While protein consumption prior to and during endurance and resistance exercise has been shown to enhance rates of muscle protein synthesis (MPS), a recent review found protein ingestion alongside carbohydrate during exercise does not improve time�trial performance when compared with the ingestion of adequate amounts of carbohydrate alone.33
The purpose of fluid consumption during exercise is primarily to maintain hydration and thermoregulation, thereby benefiting performance. Evidence is emerging on increased risk of oxidative stress with dehydration.34 Fluid consumption prior to exercise is recommended to ensure that the athlete is well-hydrated prior to commencing exercise.35 In addition,�carefully planned hyperhydration ( fluid overloading) prior to an event may reset fluid balance and increase fluid retention, and consequently improve heat tolerance.36 However, fluid overloading may increase the risk of hyponatremia 37 and impact negatively on performance due to feelings of fullness and the need to urinate.
Performance supplements shown to enhance performance include caffeine, beetroot juice, beta-alanine (BA), creatine, and bicarbonate.40 Comprehensive reviews on other supplements including caffeine, creatine, and bicarbonate can be found elsewhere.41 In recent years, research has focused on the role of nitrate, BA, and vitamin D and performance. Nitrate is most commonly provided as sodium nitrate or beetroot juice.42 Dietary nitrates are reduced (in mouth and stomach) to nitrites, and then to nitric oxide. During exercise, nitric oxide potentially influences skeletal muscle function through regulation of blood ow and glucose homeostasis, as well as mitochondrial respiration.43 During endurance exercise, nitrate supplementation has been shown to increase exercise efficiency (4%�5% reduction in VO at a steady attenuate oxidative stress.42 Similarly, a 4.2% improvement in performance was shown in a test designed to simulate a football game.44
Consuming carbohydrates immediately 
An acute bout of intense endurance or resistance exercise can induce a transient increase in protein turnover, and, until feeding, protein balance remains negative. Protein consumption after exercise enhances MPS and net protein balance,58 predominantly by increasing mitochondrial protein fraction with endurance training, and myofibrillar protein fraction with resistance training.59
Fluid and electrolyte replacement after exercise can be achieved through resuming normal hydration practices. However, when euhydration is needed within 24 hours or substantial body weight has been lost (.5% of BM), a more structured response may be warranted to replace fluids and electrolytes.77
The availability of nutrition information for athletes varies. Younger or recreational athletes are more likely to receive generalized nutritional information of poorer quality from individuals such as coaches.78 Elite athletes are more likely to have access to specialized sports-nutrition input from qualified professionals. A range of sports science and medicine support systems are in place in different countries to assist elite athletes,1 and nutrition is a key component of these services. Some countries have nutrition programs embedded within sports institutes (eg, Australia) or alternatively have National Olympic Committees that support nutrition programs (eg, United States of America).1 However, not all athletes at the elite level have access to sports-nutrition services. This may be due to financial constraints of the sport, geographical issues, and a lack of recognition of the value of a sports-nutrition service.78
Supplement use is widespread in athletes.86,87 For example, 87.5% of elite athletes in Australia used dietary supplements88 and 87% of Canadian high-performance athletes took dietary supplements within the past 6 months85 (Table 2). It is difficult to compare studies due to differences in the criteria used to define dietary supplements, variations in assessing supplement intake, and disparities in the populations studied.85
A positive drug test in an athlete can occur with even a minute quantity of a banned substance.41,87 WADA maintains a �strict liability� policy, whereby every athlete is responsible for any substance found in their body regardless of how it got there.41,86,87,89 The World Anti-Doping Code (January 1, 2015) does recognize the issue of contaminated supplements.91 Whereas the code upholds the principle of strict liability, athletes may receive a lesser ban if they can��show �no significant fault� to demonstrate they did not intend to cheat. The updated code imposes longer bans on those who cheat intentionally, includes athlete support personnel (eg, coaches, medical staff), and has an increased focus on anti-doping education.91,99
Chronic undernutrition is characterized by a progressive reduction of the�fat-free mass (FFM) and fat mass (FM)�and �which has deleterious consequences on health. Undernutrition is insufficiently screened and treated in hospitalized or at-risk patients despite its high prevalence and negative impact on mortality, morbidity, length of stay (LOS), quality of life, and costs [1�4]. The risk of underestimating hospital undernutrition is likely to worsen in the next decades because of the increasing prevalence of overweight, obesity, and chronic diseases and the increased number of elderly subjects. These clinical conditions are associated with FFM loss (sarcopenia). Therefore, an increased number of patients with FFM loss and sarcopenic obesity will be seen in the future.
Academic societies encourage systematic screening of undernutrition at hospital admission and during the hospital stay [14]. The detection of undernutrition is generally based on measurements of weight and height, calculations of BMI, and the percentage of weight loss. Nevertheless, screening of undernutrition is infrequent in hospitalized or nutritionally at-risk ambulatory patients. For example, in France, surveys performed by the French Health Authority [15] indicate that: (i) weight alone, (ii) weight with BMI or percentage of weight loss, and (iii) weight, BMI,�and percentage of weight loss are reported in only 55, 30, and 8% of the hospitalized patients� records, respectively. Several issues, which could be improved by specific educational programs, explain the lack of implementation of nutritional screening in hospitals (table 1). In addition, the accuracy of the clinical screening of undernutrition could be limited at hospital admission. Indeed, patients with undernutrition may have the same BMI as sex- and age- matched healthy controls but a significantly decreased FFM hidden by an expansion of the FM and the total body water which can be measured by bioelectrical impedance analysis (BIA) [13]. This example illustrates that body composition evaluation allows a more accurate identification of FFM loss than body weight loss or BMI decrease. The lack of sensitivity and specificity of weight, BMI, and percentage of weight loss argue for the need for other methods to evaluate the nutritional status.
In 2008, twelve and thirty percent of the worldwide adult population was obese or overweight; this is two times higher than in 1980 [16]. The prevalence of overweight and obesity is also increasing in hospitalized patients. A 10-year comparative survey performed in a European hospital showed an increase in patients� BMI, together with a shorter LOS [17]. The BMI increase masks undernutrition and FFM loss at hospital admission. The increased prevalence of obesity in an aging population has led to the recognition of a new nutritional entity: �sarcopenic obesity� [18]. Sarcopenic obesity is characterized by increased FM and reduced FFM with a normal or high body weight. The emergence of the concept of sarcopenic obesity will increase the number of situations associated with a lack of sensitivity of the calculations of BMI and�body weight change for the early detection of FFM loss. This supports a larger use of body composition evaluation for the assessment and follow-up of nutritional status in clinical practice (fig. 1).
Fig. 2. Current and potential applications of body composition evaluation in clinical practice. The applications are indicated in the boxes, and the body composition methods that could be used for each application are indicated inside the circles. The most used application of body composition evaluation is the measurement of bone mineral density by DEXA for the diagnosis and management of osteoporosis. Although a low FFM is associated with worse clinical outcomes, FFM evaluation is not yet implemented enough in clinical practice. However, by allowing early detection of undernutrition, body composition evaluation could improve the clinical outcome. Body composition evaluation could also be used to follow up nutritional status, calculate energy needs, tailor nutritional support, and assess fluid changes during perioperative period and renal insufficiency. Recent evidence indicates that�a low FFM is associated with a higher toxicity of some chemo- therapy drugs in cancer patients. Thus, by allowing tailoring of the chemotherapy doses to the FFM in cancer patients, body com- position evaluation should improve the tolerance and the efficacy of chemotherapy. BIA, L3-targeted CT, and DEXA could be used for the assessment of nutritional status, the calculation of energy needs, and the tailoring of nutritional support and therapy. Further studies are warranted to validate BIA as an accurate method for fluid balance measurement. By integrating body composition evaluation into the management of different clinical conditions, all of these potential applications would lead to a better recognition of nutritional care by the medical community, the health care facilities, and the health authorities, as well as to an increase in the medico-economic benefits of the nutritional evaluation.
Body Composition Techniques For FFM Measurement
Body composition evaluation allows measurement of the major body compartments: FFM (including bone mineral tissue), FM, and total body water. Table 2 shows indicative values of the body composition of a healthy subject weighing 70 kg. In several clinical situations, i.e. hospital admission, chronic obstructive pulmonary dis- ease (COPD) [21�23], dialysis [24�26], chronic heart failure [27], amyotrophic lateral sclerosis [28], cancer [5, 29], liver transplantation [30], nursing home residence [31], and Alzheimer�s disease [32], changes in body compartments are detected with the techniques of body composition evaluation. At hospital admission, body composition evaluation could be used for the detection of FFM loss and undernutrition. Indeed, FFM and the FFM index (FFMI) [FFM (kg)/height (m2)] measured by BIA are significantly lower in hospitalized patients (n = 995) than in age-, height-, and sex-matched controls (n = 995) [3]. Conversely, clinical tools of nutritional status assessment, such as BMI, subjective global assessment, or mini-nutritional assessment, are not accurate enough to estimate FFM loss and nutritional status [30, 32�34]. In 441 patients with non-small cell lung cancer, FFM loss deter- mined by computerized tomography (CT) was observed in each BMI category [7], and in young adults with all�types of cancer, an increase in FM together with a de- crease in FFM were reported [29]. These findings reveal the lack of sensitivity of BMI to detect FFM loss. More- over, the FFMI is a more sensitive determinant of LOS than a weight loss over 10% or a BMI below 20 [3]. In COPD, the assessment of FFM by BIA is a more sensitive method to detect undernutrition than anthropometry [33, 35]. BIA is also more accurate at assessing nutrition- al status in children with severe neurologic impairment than the measurement of skin fold thickness [36].
FFM loss is correlated with survival in different clinical settings [5, 21�28, 37]. In patients with amyotrophic lateral sclerosis, an FM increase, but not an FFM in- crease, measured by BIA, was correlated with survival during the course of the disease [28]. The relation between body composition and mortality has not yet been demonstrated in the intensive care unit. The relation between body composition and mortality has been demonstrated with anthropometric methods, BIA, and CT. Measurement of the mid-arm muscle circumference is an easy tool to diagnose sarcopenia [38]. The mid-arm muscle circumference has been shown to be correlated with survival in patients with cirrhosis [39, 40], HIV infection [41], and COPD in a stronger way than BMI [42]. The relation between FFM loss and mortality has been extensively shown with BIA [21�28, 31, 37], which is the most used method. Recently, very interesting data suggest that CT could evaluate the disease prognosis in relation to muscle wasting. In obese cancer patients, sarcopenia as assessed by CT measurement of the total skeletal muscle cross-sectional area is an independent predictor of the survival of patients with bronchopulmonary [5, 7], gastrointestinal [5], and pancreatic cancers [6]. FFM assessed by measurement of the mid-thigh muscle cross- sectional area by CT is also predictive of mortality in COPD patients with severe chronic respiratory insufficiency [43]. In addition to mortality, a low FFMI at hospital admission is significantly associated with an in- creased LOS [3, 44]. A bicentric controlled population study performed in 1,717 hospitalized patients indicates that both loss of FFM and excess of FM negatively affect the LOS [44]. Patients with sarcopenic obesity are most at risk of increased LOS. This study also found that ex- cess FM reduces the sensitivity of BMI to detect nutritional depletion [44]. Together with the observation that the BMI of hospitalized patients has increased during the last decade [17], these findings suggest that FFM and�FFMI measurement should be used to evaluate nutritional status in hospitalized patients.
Numerous methods of body composition evaluation have been developed: anthropometry, including the 4-skinfold method [58], hydrodensitometry [58], in vivo neutron activation analysis [59], anthropogammametry from total body potassium-40 [60], nuclear magnetic resonance [61], dual-energy X-ray absorptiometry (DEXA) [62, 63], BIA [45, 64�66], and more recently CT [7, 43, 67]. DEXA, BIA, and CT appear to be the most convenient methods for clinical practice (fig. 2), while the other methods are reserved for scientific use.
The evaluation of FFM could be used for the calculation of energy needs, thus allowing the optimization of nutritional intakes according to nutritional needs. This could be of great interest in specific situations, such as severe neurologic disability, overweight, and obesity. In 61 children with severe neurologic impairment and intellectual disability, an equation integrating body composition had good agreement with the doubly labeled water method. It gave a better estimation of energy expenditure than did the Schofield predictive equation [36]. However, in 9 anorexia nervosa patients with a mean BMI of 13.7, pre- diction formulas of resting energy expenditure including FFM did not allow accurate prediction of the resting energy expenditure measured by indirect calorimetry [76]. In overweight or obese patients, the muscle catabolism in response to inflammation was the same as that observed�in patients with normal BMI. Indeed, despite a higher BMI, the FFM of overweight or obese individuals is similar (or slightly increased) to that of patients with normal BMI. Thus, the use of actual weight for the assessment of the energy needs of obese patients would result in over- feeding and its related complications. Therefore, the ex- perts recommend the use of indirect calorimetry or calculation of the energy needs of overweight or obese patients as follows: 15 kcal/kg actual weight/day or 20�25 kcal/kg ideal weight/day [77, 78], although these predictive formulas could be inaccurate in some clinical conditions [79]. In a US prospective study conducted in 33 ICU medical and surgical ventilated ICU patients, daily measurement of the active cell mass (table 2) by BIA was used to assess the adequacy between energy/protein intakes and needs. In that study, nutritional support with 30 kcal/ kg actual body weight/day energy and 1.5 g/kg/day protein allowed stabilization of the active cell mass [75]. Thus, follow-up of FFM by BIA could help optimize nutritional intakes when indirect calorimetry cannot be performed.
Body composition evaluation allows a qualitative assessment of body weight variations. The evaluation of body composition may help to document the efficiency of nutritional support during a patient�s follow-up of numerous clinical conditions, such as surgery [59], anorexia nervosa [76, 80], hematopoietic stem cell transplantation [81], COPD [82], ICU [83], lung transplantation [84], ulcerative colitis [59], Crohn�s disease [85], cancer [86, 87], HIV/AIDS [88], and acute stroke in elderly patients [89]. Body composition evaluation could be used for the follow-up of healthy elderly subjects [90]. Body composition evaluation allows characterization of the increase in body mass in terms of FFM and FM [81, 91]. After hematopoietic stem cell transplantation, the increase in BMI is the result of the increase in FM, but not of the increase in FFM [81]. Also, during recovery after an acute illness, weight gain 6 months after ICU discharge could be mostly related to an increase in FM (+7 kg) while FFM only increased by 2 kg; DEXA and air displacement plethysmography were used to measure the FM and FFM [91]. These two examples suggest that body composition evaluation could be helpful to decide the modification and/or the renewal of nutritional support. By identifying the patients gaining weight but reporting no or insufficient FFM, body composition evaluation could contribute to influencing the medical decision of continuing nutrition- al support that would have been stopped in the absence of body composition evaluation.
In clinical situations when weight and BMI do not reflect the FFM, the evaluation of body composition should be used to adapt drug doses to the FFM and/or FM absolute values in every patient. This point has been recently illustrated in oncology patients with sarcopenic obesity. FFM loss was determined by CT as described above. In cancer patients, some therapies could affect body com- position by inducing muscle wasting [92]. In patients with advanced renal cell carcinoma [92], sorafenib induces a significant 8% loss of skeletal muscular mass at 12 months. In turn, muscle wasting in patients with BMI less than 25 was significantly associated with sorafenib toxicity in patients with metastatic renal cancer [8]. In metastatic breast cancer patients receiving capecitabine treatment, and in patients with colorectal cancer receiving 5-fluorouracile, using the convention of dosing per unit of body surface area, FFM loss was the determinant of chemotherapy toxicity [9, 10] and time to tumor progression [10]. In colorectal cancer patients administered 5-fluoruracil, low FFM is a significant predictor of toxicity only in female patients [9]. The variation in toxicity between women and men may be partially explained by the fact that FFM was lower in females. Indeed, FFM rep- resents the distribution volume of most cytotoxic chemo- therapy drugs. In 2,115 cancer patients, the individual variations in FFM could change by up to three times the distribution volume of the chemotherapy drug per body area unit [5]. Thus, administering the same doses of chemotherapy drugs to a patient with a low FFM compared to a patient with a normal FFM would increase the risk of chemotherapy toxicity [5]. These data suggest that FFM loss could have a direct impact on the clinical outcome of cancer patients. Decreasing chemotherapy doses in case of FFM loss could contribute to improving cancer patients� prognosis through the improvement of the tolerance of chemotherapy. These findings justify the systematic evaluation of body composition in all cancer patients in order to detect FFM loss, tailor chemotherapy doses according to FFM values, and then improve the efficacy- tolerance and cost-efficiency ratios of the therapeutic strategies [93]. Body composition evaluation should also be used to tailor the doses of drugs which are calculated based on patients� weight, e.g. corticosteroids, immuno-suppressors (infliximab, azathioprine or methotrexate), or sedatives (propofol).
The implementation of body composition evaluation in routine care presents a challenge for the next decades. Indeed the concomitant increases in elderly subjects and patients with chronic diseases and cancer, and in the prevalence of overweight and obesity in the population, will increase the number of patients nutritionally at risk or undernourished, particularly those with sarcopenic obesity. Body composition evaluation should be used to improve the screening of undernutrition in hospitalized patients. The results of body composition should be based on the same principle as BMI calculation, towards the systematic normalization for body height of FFM (FFMI) and FM [FM (kg)/height (m)2 = FM index] [94]. The results could be expressed according to previously de- scribed percentiles of healthy subjects [95, 96]. Body com- position evaluation should be performed at the different stages of the disease, during the course of treatments and the rehabilitation phase. Such repeated evaluations of body composition could allow assessment of the nutritional status, adjusting the calculation of energy needs as kilocalories/kilogram FFM, following the efficacy of 
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