A startling 60 – 75% of the adult population in the United States is overweight or obese (American Heart Assc. 2012). Around the world, the prevalence of obesity has nearly doubled from 1980 to 2008 (Stevens 2012).
Being overweight or obese significantly increases the risk of multiple debilitating diseases including cardiovascular disease, arthritis, high blood pressure, and malignancies such as breast, prostate, pancreatic and colon cancer (Aleksandrova 2013; Giles 2012; Allott 2012; Gribovskaja-Rupp 2011). Excess body weight also affects mobility, interferes with restful sleep, contributes to digestive disorders, and can contribute to an overall lower quality of life than that enjoyed by lean individuals (Schrager 2007; Sung 2011; Nguyen 2008; CDC 2011). Obesity results in shortening of the life span by an average of eight to 10 years compared with people at normal weight. For every 33 extra pounds, risk of early death increases by around 30% (Sassi 2012).
For many aging obese individuals, the struggle to achieve a healthy body weight becomes a veritable battle against biology as a number of metabolic processes promote weight gain despite genuine efforts to decrease food consumption and increase energy expenditure (Cohen 2012; Müssig 2010; Biondi 2010).
Scientific investigations have shed light on the biology of weight loss in recent times. It turns out the battle against the bulge is much more complex than the overly simplistic “eat less food to lose weight” message often promoted by government health agencies.
In 2009, Life Extension described the Nine Pillars of Successful Weight Loss. Each of the nine pillars represents a fundamental insight into sustainable weight. If any weight loss strategy is to be successful, it must evolve beyond the conventional cliché that weight loss only requires a reduction in food consumption. Instead, successful weight management requires a paradigm that acknowledges the multifactorial nature of obesity.
The Nine Pillars of Successful Weight Loss that should not be overlooked if healthy weight management is to be achieved are:
This protocol will detail the biological underpinnings of obesity and weight gain. Consideration will be given to each pillar of successful weight loss in the context of obesity risk factors in order to highlight the inadequacies of typical weight loss strategies. Methods of utilizing novel natural compounds and strategically incorporating some pharmaceutical options to support critical metabolic factors for long-term weight management will be discussed.
Our system of energy balance evolved to ensure that a healthy person maintained adequate reserves of body fat to sustain life through repeated times of food scarcity, including famine. Food energy abundance is a relatively recent phenomenon, quite dissimilar to the vast majority of time over the past 100 000 years. In fact, body weight maintenance is achieved by the very complex and interrelated interaction of neurological and hormonal factors, with the goal of increasing appetite and preserving body fat when energy stores are low. Within the brain, a region called the hypothalamus monitors and integrates neurological signals and modulates appetite accordingly. Sensory cells located within the stomach walls that detect stretching of stomach tissue can directly signal satiety to the brain through nerve impulses. Indirectly, blood levels of glucose, fatty acids, and amino acids (components of proteins) stimulate the perception of satiety in brain centers and depress eating behavior. Additionally, a variety of hormones released at various levels of the gastrointestinal tract perform numerous functions in the balance of energy intake and utilization. Insulin (released from the pancreas and critical for the uptake of glucose into cells) and cholecystokinin (CCK) (secreted by the upper part of the small intestine and important for triggering release of digestive enzymes and bile) are also potent satiety signals (Marieb 2010).
In addition, fat stores in the body are able to relay the overall state of energy storage to the brain through the secretion of the hormone leptin (Marieb 2010). Leptin is secreted into the blood by adipose (fat) cells in proportion to their levels of stored fats. It travels to the brain and acts upon the hypothalamus, stimulating the release of neurotransmitters that signal satiety, and suppressing those that signal hunger. Thus, leptin released by adipose tissue provides the brain with information on long-term energy economy, and allows it to adjust food intake accordingly (Begg 2012). However, this intricate system of appetite control can become perturbed in obesity, as excess fat stores contribute to chronically elevated leptin levels. This leads to down regulation of cellular sensitivity to the effects of leptin, a physiologic state known as leptin resistance. Weight loss efforts put forth by obese individuals may be undermined by failure of the leptin system to suppress their appetite, resulting in excessive hunger (Myers 2010).
Another hormone derived from fat cells, called adiponectin, is an anti-obesity signaling molecule; adiponectin signaling is disrupted in obesity-related diseases and states of insulin resistance (Shehzad 2012). Evidence suggests that leptin and adiponectin can work together to combat insulin resistance (Yamauchi 2001; Kadowaki 2011; Siasos 2012). Optimizing fat cell signaling thus represents an important aspect of any comprehensive weight-loss strategy.
Resting energy expenditure (REE) also influences weight gain and progression to obesity. REE is the rate at which metabolic activity burns calories during periods of rest or inactivity. Having a low REE may contribute to weight gain or make it difficult to lose weight. Studies show that REE is directly related to serum adiponectin levels, and that higher leptin levels (as occurs in leptin resistance; see below) are associated with decreased REE (Brusik 2012). Aging is also associated with decreased REE (Hunter 2001; Bosy-Westphal 2003). These findings suggest that boosting REE could be a valuable strategy to mitigate age-related weight gain.
Weight gain and progression to obesity can be caused by energy imbalances (Hill 2012). Aging can negatively affect the balance of energy input and expenditure in several ways. The natural aging process is associated with hormonal changes, particularly decreases in sex and thyroid hormones, which contribute to a decrease in metabolism and energy expenditure. Advancing age is also associated with reduced insulin sensitivity, which may interfere with appetite control (Begg 2012; Paolisso 1999). With age also comes a decrease in physical activity, which further reduces energy expenditure. Only about a quarter of Americans aged 65 to 74 exercise daily; this drops to less than 1 in 10 at age 85 (AoA Statistics 2008). Obesity and decreased mobility in the aging individual may have reciprocal effects on one another; age-related increases in weight and reductions in muscle mass lead to decreased mobility and energy expenditure. In a review of 28 population studies of older obese individuals, all but one showed significant associations between obesity and reduced mobility (Vincent 2010).
Levels of sex hormones (such as testosterone and dehydroepiandrosterone [DHEA]) decline with age in both genders. This may lead to an increase in fat mass, reduction in lean body mass or central fat redistribution (Apostolopoulou 2012; Villareal 2004). Similarly, declining thyroid hormone levels are associated with reduced metabolic rate and thus obesity (Biondi 2010).
In men, free testosterone levels sharply declines between the ages of 40 and 80. Both free and total testosterone levels are significantly lower in overweight and obese men compared to those with weights in a normal range across all ages (Wu 2008). Men with low testosterone levels (hypogonadism) develop increased fat mass, and testosterone replacement therapy in hypogonadal men reduced fat mass by 6% in one study (Mårin 1995; Kaufman 2005).
Obesity and low testosterone have a complex relationship; low testosterone can be considered both a cause and consequence of obesity (Wu 2008). In men, increases in fat mass may also increase the conversion of testosterone to estrogen by the enzyme aromatase (Vermeulen 2002). While this conversion is a normal phenomenon, aromatization occurs more readily in fat tissue, and is increased by obesity, age, inflammation, insulin, leptin, and stress (Williams 2012). Thus, in older men with excessive abdominal fat, the ratios of testosterone to estrogen are lower than in younger men. Elevated estrogens, similar to low testosterone levels, are associated with increased abdominal fat (Vermeulen 2002). If a blood test reveals elevated estrogen (estradiol) levels in a man, a physician may prescribe an aromatase-inhibiting drug such as anastrozole (Arimidex®).
In women, estrogen levels decline suddenly with menopause. Hormone replacement has shown modest increases in lean body mass and reductions in waist circumference and abdominal fat in some, but not all studies of post-menopausal women (Salpeter 2006; Mayes 2004; Norman 2000).
The thyroid is a central regulator of metabolism; it integrates signals from the brain and secretes thyroid hormone (thyroxine or T4) to influence metabolism in a variety of tissues (Biondi 2010). Thyroid dysfunction can affect body weight and composition, body temperature, and energy expenditure independent of physical activity. Depressed thyroid function (hypothyroidism) has been associated with decreased thermogenesis (conversion of stored energy into heat) and metabolic rate, and weight gain (Biondi 2010).
Clinical studies have shown that treatment of hypothyroidism with thyroxine may lead to weight loss, and population studies suggest that low T4 levels and high TSH levels are both associated with higher BMI (Asvold 2009). Depressed thyroid activity is also more common as people age; hypothyroidism in the general population is 3.7%, but is 5 times more common in individuals aged 80 or older when compared to 12 to 49 year-olds (Aoki 2007).
A significant number of patients with morbid obesity display elevated thyroid stimulating hormone (TSH) levels. TSH is produced in the brain by the pituitary gland, then travels to the thyroid and stimulates the production of thyroid hormone. Increased blood levels of TSH may indicate thyroid dysfunction and are associated with the progression of obesity (Rotondi 2011). For example, in one Norwegian study of over 27 000 individuals older than 40, TSH correlated with BMI: for every unit that TSH increased, BMI increased by 0.41 in women and 0.48 in men (Asvold 2009).
In addition to being a result of obesity, elevated levels of the hormones leptin and insulin in obese individuals may be indicative of a resistance to their activities. Insulin is a hormone that helps facilitate cellular uptake of glucose, primarily in the muscles, liver, and adipose tissue. When insulin resistance develops, glucose levels are no longer efficiently controlled by the action of insulin and blood levels become elevated, predisposing the insulin-resistant individual to several chronic diseases associated with aging (NDIC 2011). Moreover, while higher levels of both leptin and insulin normally suppress the desire to eat and stimulate energy expenditure, they are unable to perform this function in resistant individuals (Hagobian 2010).
Increases in daily average food consumption significantly contribute to weight gain in the United States (Swinburn 2009). Data from the National Health and Nutrition Examination Survey (NHANES) show a significant increase in average daily energy intake between 1971 and 2000, amounting to 168 calories per day for men, and 335 calories per day for women. Without increased expenditure, this represents potential theoretical weight gains of 18 pounds per year for men and 35 pounds per year for women (Hill 2012). A separate study estimates a 350 calorie per day increase for children (about one can of soda and a small order of French fries) and a 500 calorie per day increase for adults (about one large hamburger) over our daily calorie intake in the 1970s (Swinburn 2009).
Eating outside of the home can encourage overconsumption, especially of calorie-dense, nutrient-poor foods. Spending on food away from home has almost doubled in the last half century, rising to almost one-third of a person’s calories in the United States (Cohen 2012). Half of Americans eat out 2 or more times per week, and 20% of males and 10% of females eat commercially prepared foods 6 or more times per week (Kant 2004).
People have a decreased ability to make healthy food choices away from home for several reasons. They tend to increase their consumption proportional to the amount of food they are served, and average portion sizes have been steadily increasing over the last 30 years (Rolls 2006; Nielsen 2003). Choices for foods consumed away from home are also influenced by marketing, and the relative abundance of high-calorie, low-nutrient choices compared to healthier ones. Fast food restaurants may also play into inherent weaknesses in human cognitive capacity. Reasoned decisions are time-consuming; therefore, people often depend on automatic choices when they are hungry. When glucose levels are low, or a person is distracted or preoccupied, they tend to make less healthy food choices and are often unaware of the quality of food they have consumed. Although attempts have been made to provide point-of-sale nutritional labeling in many restaurants, there has been limited evidence of effect (Cohen 2012).
In an effort to avoid the caloric excess to which so many restaurant-goers succumb, suppression of hunger signals is likely to be of great benefit. To this end, several natural compounds, includingsaffron extract, L-tryptophan, and pine nut oil, as well as the pharmaceutical drug lorcaserin (Belviq®) may be of benefit; each of these compounds is discussed in detail later in this protocol.
Another strategy to counter the excessive amount of calories encountered when dining out involves “preparing your body to eat” by taking measures to reduce the rate at which fats and carbohydrates are absorbed. Supplementing with green coffee extract before meals can slow carbohydrate absorption, helping to reduce after-meal spikes in glucose levels (Vinson 2012). These after-meal glucose spikes inflict damage to cells via multiple mechanisms and have been linked to cardiovascular disease, cancer, Alzheimer’s disease, and kidney failure. Also, a pharmaceutical drug called orlistat (Alli®, Xenical®) can help reduce the absorption of fats by inhibiting an enzyme called lipase (see below) (McClendon 2009; Smith 2012). Targeting after-meal spikes in blood levels of glucose (postprandial glycemia) and fatty acids (postprandial lipemia) is a critical step towards averting cardiovascular disease, for which obesity is a leading risk factor (Blaak 2012; Strojek 2007; Sahade 2012; Jackson 2012).
Low levels of the neurotransmitter serotonin, typically associated with depression, may be associated with weight gain. Serotonin interacts with receptors in the brain that regulate feeding behavior (Sargent 2009). When brain levels of serotonin are increased, the desire to eat is decreased; as serotonin levels drop, appetite is stimulated (Lam 2010). Mimicking the serotonin-receptor interaction has been the target of several anti-obesity drugs developed over the last 4 decades (Ioannides-Demos 2011). Moreover, studies have shown that obese individuals have low levels of tryptophan, a precursor to serotonin, in their blood (Breum 2003). These findings suggest that restoring serotonin signaling may be a way to combat hunger cravings that can preclude weight loss.
While stress is an important adaptation essential for survival, long-term stress can be damaging. Chronic stress can compromise the function of hormonal, gastrointestinal, and immune systems (De Vriendt 2009). Exposure to chronic stress has been associated with obesity and metabolic syndrome in human and animal studies (Müssig 2010). Stress increases production of the hormone cortisol, which when combined with access to abundant food, promotes the development of visceral obesity (Björntorp 1991).
Cortisol promotes weight gain in several ways. Visceral fat tissue contains a high number of cortisol receptors and responds to circulating cortisol by increasing fat cell growth and lipid storage (Fried 1993). Cortisol may also stimulate the neurotransmitters that signal hunger and decrease the activity of leptin, which signals satiety (Björntorp 2001). Activation of the stress response appears to stimulate the human appetite for highly palatable, energy-dense foods (Torres 2007), which may explain the association between emotional stress and increased food intake (Müssig 2010). A comprehensive overview of strategies to mitigate the negative effects of stress is available in the Stress Management protocol.
Life Extension encourages anyone striving to lose weight to consider adopting a calorie-restricted, but nutrition-dense diet. A detailed explanation of this type of dietary pattern is presented in theCaloric Restriction protocol.
Increasing physical activity is one of the most effective means of attaining a negative energy balance, which facilitates weight loss. Physical exercise should be undertaken regularly in accordance with one’s overall health and mobility. Anyone with a physical impairment, such as extreme obesity or severe osteoarthritis, should consult a healthcare provider prior to embarking on an exercise regimen.
In addition, the following blood testing resource may be helpful:
Disclaimer and Safety Information
This information (and any accompanying material) is not intended to replace the attention or advice of a physician or other qualified health care professional. Anyone who wishes to embark on any dietary, drug, exercise, or other lifestyle change intended to prevent or treat a specific disease or condition should first consult with and seek clearance from a physician or other qualified health care professional. Pregnant women in particular should seek the advice of a physician before using any protocol listed on this website. The protocols described on this website are for adults only, unless otherwise specified. Product labels may contain important safety information and the most recent product information provided by the product manufacturers should be carefully reviewed prior to use to verify the dose, administration, and contraindications. National, state, and local laws may vary regarding the use and application of many of the treatments discussed. The reader assumes the risk of any injuries. The authors and publishers, their affiliates and assigns are not liable for any injury and/or damage to persons arising from this protocol and expressly disclaim responsibility for any adverse effects resulting from the use of the information container herein.
The protocols raise many issues that are subject to change as new data emerge. None of our suggested protocol regimens can guarantee health benefits. The publisher has not performed independent verification of the data contained herein, and expressly disclaim responsibility for any error in literature.