Metformin: an Old Therapy that Deserves a New Indication for the Treatment of Obesity

Anthropometric indicators and cardiovascular diseases risk in pre-diabetic and diabetic adults: NHANES 1999-2018 cross-sectional analysis

BACKGROUND

Since cardiovascular disease (CVD) stands as the primary cause of death in those with diabetes, and given the substantial influence of obesity as a common risk factor for both diabetes and atherosclerotic conditions, this investigation sought to find the relationship between anthropometric indicators and CVD risk within these populations.

METHODS

Our study examined 36,329 adults, including those with diagnosed diabetes, pre-diabetes, and without diabetes from National Health and Nutrition Examination Survey (NHANES) data spanning 1999 to 2018. Various anthropometric indicators such as body mass index (BMI), waist circumference, weight-adjusted waist index (WWI), waist-to-height ratio (WHtR), weight, and height were assessed. Baseline characteristics were compared among the three groups after weighting. Participants were then grouped based on anthropometric indicators, and logistic regression models were used to analyze the association between these indicators and CVD risk in the total diabetes group (including diabetic and pre-diabetic individuals). Threshold effect analysis was conducted to explore nonlinear relationships, and mediation analyses assessed whether serum parameters influenced these relationships.

RESULTS

This cross-sectional study involved 36,329 participants, weighted to a count of approximately 160.9 million, including over 45.9 million pre-diabetic individuals and around 16.6 million diabetic individuals. Baseline analysis showed significant associations between all six anthropometric indicators and CVD risk across patients with different diabetes statuses. Weighted restricted cubic spline (RCS) curve analysis highlighted increased CVD risk among the total diabetes group for each anthropometric indicator compared to the non-diabetic group. Anthropometric indicators were then divided into quartiles, and after adjusting for confounders, Model 3 revealed that the highest BMI group had a heightened risk of CVD compared to the lowest BMI group. Similar trends were observed in the WWI and WHtR subgroups. Threshold effect analysis of anthropometric indicators unveiled nonlinear associations between waist circumference, height, WWI and CVD risk. Mediation analysis suggested that lipid parameters, especially HDL, significantly mediated these relationships.

CONCLUSION

In individuals with diabetes and pre-diabetes, BMI, weight, and WHtR displayed a consistent, linear increase correlation with CVD risk. Conversely, the link between waist circumference, height, and WWI and CVD risk showcased a more complex, nonlinear pattern. Moreover, HDL level emerged as notable mediator in the association between anthropometric indicators and the risk of CVD.

Anti-obesity and metabolic benefits of metformin: Comparison of different delivery routes

Obesity is a severe public health problem. Healthy lifestyle interventions are commonly recommended for fighting obesity. But they are hard to follow and have low efficacy. Pharmacotherapy and surgery are of high efficacy but are beset with side effects. Browning subcutaneous white adipose tissue (WAT) is a practical and efficient approach for combating obesity. Metformin, a commonly used FDA-approved antidiabetic drug, is potent to induce browning of WAT through phosphorylation and activation of AMP-activated protein kinase. However, oral administration of metformin has low oral bioavailability, fast renal clearance, and low target specificity that limit metformin's application in browning WAT. Local and transdermal delivery of metformin directly to subcutaneous WAT using injection or microneedle (MN) in combination with iontophoresis (INT) may solve these problems. In this paper, we administered metformin to C57BL/6J obese mice using the following three routes: transdermal delivery (MN and INT), local injection into inguinal WAT (IgWAT, a type of subcutaneous WAT in mice), and oral gavage. The anti-obesity and metabolic effects of metformin via these delivery routes were determined and compared. As compared to local IgWAT injection and oral gavage delivery, transdermal delivery of metformin using MN and INT resulted in 9% lower body weight and 7% decrease in body fat% accompanied by improved energy metabolism and decreased inflammation through browning IgWAT in obese C57BL/6J mice. Transdermal delivery of metformin using MN and INT is an effective approach in browning subcutaneous WAT for combating obesity and improving metabolic health.

Management of Medication-Induced Weight Gain

Several medications can contribute to weight gain. Medication-induced weight gain can have severe health consequences leading to overweight or obesity, or exacerbation of preexisting obesity and the plethora of obesity-related comorbidities. Weight gain due to medications is potentially avoidable by prescribing medications that are either weight neutral or that lead to weight loss, when appropriate. This article reviews the common classes of medications that contribute to weight gain and discusses alternatives to consider.

Obesity Management in Adults: A Review

Importance

Obesity affects approximately 42% of US adults and is associated with increased rates of type 2 diabetes, hypertension, cardiovascular disease, sleep disorders, osteoarthritis, and premature death.

Observations

A body mass index (BMI) of 25 or greater is commonly used to define overweight, and a BMI of 30 or greater to define obesity, with lower thresholds for Asian populations (BMI ≥25-27.5), although use of BMI alone is not recommended to determine individual risk. Individuals with obesity have higher rates of incident cardiovascular disease. In men with a BMI of 30 to 39, cardiovascular event rates are 20.21 per 1000 person-years compared with 13.72 per 1000 person-years in men with a normal BMI. In women with a BMI of 30 to 39.9, cardiovascular event rates are 9.97 per 1000 person-years compared with 6.37 per 1000 person-years in women with a normal BMI. Among people with obesity, 5% to 10% weight loss improves systolic blood pressure by about 3 mm Hg for those with hypertension, and may decrease hemoglobin A1c by 0.6% to 1% for those with type 2 diabetes. Evidence-based obesity treatment includes interventions addressing 5 major categories: behavioral interventions, nutrition, physical activity, pharmacotherapy, and metabolic/bariatric procedures. Comprehensive obesity care plans combine appropriate interventions for individual patients. Multicomponent behavioral interventions, ideally consisting of at least 14 sessions in 6 months to promote lifestyle changes, including components such as weight self-monitoring, dietary and physical activity counseling, and problem solving, often produce 5% to 10% weight loss, although weight regain occurs in 25% or more of participants at 2-year follow-up. Effective nutritional approaches focus on reducing total caloric intake and dietary strategies based on patient preferences. Physical activity without calorie reduction typically causes less weight loss (2-3 kg) but is important for weight-loss maintenance. Commonly prescribed medications such as antidepressants (eg, mirtazapine, amitriptyline) and antihyperglycemics such as glyburide or insulin cause weight gain, and clinicians should review and consider alternatives. Antiobesity medications are recommended for nonpregnant patients with obesity or overweight and weight-related comorbidities in conjunction with lifestyle modifications. Six medications are currently approved by the US Food and Drug Administration for long-term use: glucagon-like peptide receptor 1 (GLP-1) agonists (semaglutide and liraglutide only), tirzepatide (a glucose-dependent insulinotropic polypeptide/GLP-1 agonist), phentermine-topiramate, naltrexone-bupropion, and orlistat. Of these, tirzepatide has the greatest effect, with mean weight loss of 21% at 72 weeks. Endoscopic procedures (ie, intragastric balloon and endoscopic sleeve gastroplasty) can attain 10% to 13% weight loss at 6 months. Weight loss from metabolic and bariatric surgeries (ie, laparoscopic sleeve gastrectomy and Roux-en-Y gastric bypass) ranges from 25% to 30% at 12 months. Maintaining long-term weight loss is difficult, and clinical guidelines support the use of long-term antiobesity medications when weight maintenance is inadequate with lifestyle interventions alone.

Conclusion and Relevance

Obesity affects approximately 42% of adults in the US. Behavioral interventions can attain approximately 5% to 10% weight loss, GLP-1 agonists and glucose-dependent insulinotropic polypeptide/GLP-1 receptor agonists can attain approximately 8% to 21% weight loss, and bariatric surgery can attain approximately 25% to 30% weight loss. Comprehensive, evidence-based obesity treatment combines behavioral interventions, nutrition, physical activity, pharmacotherapy, and metabolic/bariatric procedures as appropriate for individual patients.

Comparison of orlistat and orlistat plus metformin therapy between diabetic and nondiabetic groups

OBJECTIVE

The objective of this study was to examine the effects of orlistat use on metabolic control and weight loss in diabetic and nondiabetic patients.

METHODS

A total of 119 patients with body mass index≥40 kg/m2 and receiving orlistat therapy, who applied to the Endocrinology polyclinic between January 2016 and October 2019, were included. The patients' weight changes and biochemical values (i.e., fasting glucose, HbA1c, ALT, creatinine, and lipid parameters) were evaluated at the drug beginning and the last polyclinic control. The patients were divided into groups, whether they had diabetes or used metformin, and compared.

RESULTS

The mean age of the 119 patients in the study was 45.3±11.5 years. A total of 94.1% of the patients were females and 5.9% were males. A total of 38.7% of the patients had diabetes and 29.4% had prediabetes. When the patients were compared to whether they had diabetes or used metformin, there was a statistically significant difference between the groups according to weight loss. The mean weight change of patients without diabetes and receiving metformin and orlistat was statistically significantly higher than that of patients with diabetes and receiving metformin and orlistat.

DISCUSSION

It was determined that the weight loss effect of orlistat in obesity was seen in all groups, but this effect decreased in the diabetic group.

Long‐term weight loss maintenance with obesity pharmacotherapy: A retrospective cohort study

Objective

To determine the association of anti‐obesity medications (AOMs) with weight loss maintenance over 2 years.

Methods

This is a retrospective observational cohort study of adults treated for obesity between 1 April 2014 and 1 April 2016 at a tertiary academic weight management center and who completed 2 years of follow‐up. Main outcome measures were mean percent weight loss, percent of individuals who achieved clinically significant long‐term weight loss (≥5% weight loss over 2 years), and long‐term weight loss maintenance (achievement of ≥5% weight loss at 1 year and maintenance of the ≥5% reduction for the second year).

Results

Of the 1566 new patients, 421 completed 1‐ and 2‐year follow‐up appointments. Patients were mostly female and on average 51 years old; they weighed 100.1 kg and had a BMI of 35.8 kg/m² at initial visit. Mean weight losses at 1 and 2 years were 10.1% and 10.2%, respectively. The proportion of patients who experienced ≥5% weight loss was 75.5% at 1 year and 72.9% at 2 years. Long‐term weight loss maintenance was achieved by 65.3% of patients. Almost all (96.2%) were on ≥1 AOM at 2 years, with metformin, phentermine, and topiramate among the most prescribed. AOM usage and older age demonstrated trends toward predicting weight loss maintenance over 2 years.

Conclusions

Long‐term weight loss maintenance was observed among adults with medically managed obesity who completed 2 years of follow‐up.

Metformin Reduces Potassium Currents and Prolongs Repolarization in Non-Diabetic Heart

Metformin is the first choice drug for the treatment of type 2 diabetes due to positive results in reducing hyperglycaemia and insulin resistance. However, diabetic patients have higher risk of ventricular arrhythmia and sudden cardiac death, and metformin failed to reduce ventricular arrhythmia in clinical trials. In order to explore the mechanisms responsible for the lack of protective effect, we investigated in vivo the effect of metformin on cardiac electrical activity in non-diabetic rats; and in vitro in isolated ventricular myocytes, HEK293 cells expressing the hERG channel and human induced pluripotent stem cells derived cardiomyocytes (hIPS-CMs). Surface electrocardiograms showed that long-term metformin treatment (7 weeks) at therapeutic doses prolonged cardiac repolarization, reflected as QT and QTc interval duration, and increased ventricular arrhythmia during the caffeine/dobutamine challenge. Patch-clamp recordings in ventricular myocytes isolated from treated animals showed that the cellular mechanism is a reduction in the cardiac transient outward potassium current (Ito). In vitro, incubation with metformin for 24 h also reduced Ito, prolonged action potential duration, and increased spontaneous contractions in ventricular myocytes isolated from control rats. Metformin incubation also reduced IhERG in HEK293 cells. Finally, metformin incubation prolonged action potential duration at 30% and 90% of repolarization in hIPS-CMs, which is compatible with the reduction of Ito and IhERG. Our results show that metformin directly modifies the electrical behavior of the normal heart. The mechanism consists in the inhibition of repolarizing currents and the subsequent decrease in repolarization capacity, which prolongs AP and QTc duration.

Transdermal Delivery of Metformin Using Dissolving Microneedles and Iontophoresis Patches for Browning Subcutaneous Adipose Tissue

Obesity is a serious public health problem that is strongly associated with increased multiple comorbidities such as diabetes, cardiovascular disease, and some types of cancer. While current anti-obesity treatments have various issues, locally transforming energy-storing white adipose tissue (WAT) into energy-burning brown-like/beige adipose tissue, the so-called browning of WAT, has been suggested to enhance obesity treatment efficiency with minimized side effects. Metformin is a first-line antidiabetes drug and a potent activator of AMP-activated protein kinase. Emerging evidence has suggested that metformin might enhance energy expenditure via the browning of WAT and hence reduce body weight. Subcutaneous WAT is easier to access and has a stronger browning potential than other WAT depots. In this study, we used dissolvable poly (lactic-co-glycolic acid) microneedles (MN) to deliver metformin to the subcutaneous WAT in obese C57BL/6J mice with the assistance of iontophoresis (INT), and then investigated metformin-induced WAT browning and its subsequent thermogenesis effects. Compared with MN alone or INT alone, MN + INT had better anti-obesity activity, as indicated by decreasing body weight and fat gain, increased energy expenditure, decreased fat pad size, and improved energy metabolism through the browning of WAT. Browning subcutaneous WAT by delivering metformin and other browning agents using this MN + INT approach might combat obesity in an effective, easy, and safe regimen.

Weight gain in pregnancy: can metformin steady the scales?

OBJECTIVE

Metformin has been associated with modest weight reduction in the non-pregnant population. Our hypothesis is that metformin exposure will lead to a higher incidence of appropriate weight gain during pregnancy.

STUDY DESIGN

This was a retrospective cohort study in a single center between 2009 and 2019. We included all pregnant women with type 2 diabetes or prediabetes. We compared women exposed to metformin in any trimester. The primary outcome was appropriate weight gain defined by the Institute of Medicine guidelines. Secondary outcomes included excessive weight gain, weight loss, suspected fetal growth restriction (FGR), and mean birth weight. Adjusted odds ratios or group differences were calculated using logistic or linear regression, controlling for confounders.

RESULTS

Of 41,472 deliveries during the study period, 511 pregnancies met inclusion criteria. 284 pregnancies had no metformin exposure; 227 did have metformin exposure, of which 169 (72.2%) were initiated on metformin in the first trimester. Women exposed to metformin in any trimester were statistically not more likely to have appropriate weight gain (aOR 1.53 (95% CI 1.00-2.34, p = .048), but did have less excess weight gain (aOR 0.45, 95% CI 0.30-0.66, p < .001), and more maternal weight loss (aOR 2.17, 95% CI 1.18-3.98, p = .012) than the unexposed group. Women exposed to metformin in the first trimester of pregnancy were less likely to have excess weight gain (aOR 0.39, 95% CI 0.25-0.61, p < .001) and more likely to have maternal weight loss (aOR 2.56, 95% CI 1.30-5.07, p = .007) than the unexposed cohort. There was no difference in FGR (5.3% vs 2.5% p = .094) or mean birth weight (3235.6 vs 3352.4 gm p = .122) in the metformin exposed group vs non-exposed groups, respectively.

CONCLUSIONS

Metformin exposure in pregnancy was associated with less excess weight gain and a higher rate of weight loss. There was no difference in FGR or mean birth weight in metformin exposed neonates. This suggests that metformin may help avoid excess weight gain and its associated comorbidities.

Use of Weight Loss Medications in Patients after Bariatric Surgery

PURPOSE OF REVIEW

Weight regain after bariatric surgery is unfortunately a common occurrence. In this article, we have reviewed the data addressing this clinical problem focusing on pharmacological management of weight regain.

RECENT FINDINGS

Data from several small, non-randomized, retrospective, and prospective studies provide evidence that a number of pharmacological options, both FDA approved and off-label, are effective in mitigating and managing weight regain after bariatric surgery. There is a suggestion that the optimal time to initiate weight loss medications may be at the time of weight plateau, rather than after weight regain. Adjuvant pharmacotherapy can help treat weight regain after bariatric surgery. Future studies should investigate the optimal timing for starting weight loss medications, as well as the best medication or combinations of medicines, for managing postoperative weight regain in different patient groups, including those who have undergone different types of bariatric surgeries.

Rutaecarpine enhances the anti-diabetic activity and hepatic distribution of metformin via up-regulation of Oct1 in diabetic rats

Diabetes mellitus is a chronic metabolic disorder with multiple complications, patients who receive metformin may have a simultaneous intake of herbal medicine containing rutaecarpine due to cardiovascular protection and hypolipidemic effects of rutaecarpine. There might be drug interactions between metformin and rutaecarpine. This study aimed to investigate the effects of rutaecarpine on the pharmacodynamics and pharmacokinetics of metformin in diabetic rats.The diabetic rat model was induced with high-fat diet and low dose streptozotocin. Metformin with or without rutaecarpine was administered by oral gavage for 42 days. Pharmacodynamics and pharmacokinetics parameters were evaluated.The pharmacodynamics results revealed that co-administration of rutaecarpine with metformin resulted in a remarkable reduction of serum glucose and lipid profiles in diabetic rats compared to metformin treated alone. The pharmacokinetics results showed that co-treatments of rutaecarpine with metformin did not affect the systemic exposure and renal distribution of metformin, but increased metformin concentration in liver. Furthermore, rutaecarpine increased Oct1-mediated metformin uptake into hepatocytes by upregulation of Oct1 expression in the liver.The above data indicate that rutaecarpine enhanced the anti-diabetic effect of metformin, which may be associated with the increased hepatic distribution of metformin through up-regulation of Oct1 in response to rutaecarpine.

Metformin and Covid-19: Focused Review of Mechanisms and Current Literature Suggesting Benefit

Metformin is the first-line medication for type 2 diabetes, but it also has a long history of improved outcomes in infectious diseases, such as influenza, hepatitis C, and in-vitro assays of zika. In the current Covid-19 pandemic, which has rapidly spread throughout the world, 4 observational studies have been published showing reduced mortality among individuals with home metformin use. There are several potential overlapping mechanisms by which metformin may reduce mortality from Covid-19. Metformin's past anti-infectious benefits have been both against the infectious agent directly, as well as by improving the underlying health of the human host. It is unknown if the lower mortality suggested by observational studies in patients infected with Covid-19 who are on home metformin is due to direct activity against the virus itself, improved host substrate, or both.

Resolution of Metabolic syndrome with reduction of visceral adipose tissue in a 47 year old patient with Type 2 Diabetes Mellitus

BACKGROUND AND AIMS

Metabolic syndrome (MetS), defined as a cluster of metabolic abnormalities including visceral adiposity, insulin resistance, hypertension, and dyslipidemia, now affects more than a third of adults in the United States highlighting the need for effective complementary approaches to current treatments.

METHODS

We present a case report of a 47-year-old man with a history of MetS and poorly controlled Type 2 Diabetes Mellitus (T2D) who completed a 20Lighter program (20L) including a very low calorie diet (VLCD). At the time of enrollment his BMI was 32.7, HbA1c was 9.6%, and prescription medication history included lisinopril, lovastatin, and metformin, glimepiride, and combination sitagliptin/metformin.

RESULTS

Fifteen weeks after beginning 20L (6 weeks after program completion) marked reduction of weight, visceral adipose tissue and normalization of HbA1C was seen, and all medications were withdrawn.

CONCLUSIONS

While longer follow-up is required, this case report shows that a comprehensive program including a relatively short period of nutritionally complete VLCD, followed by gradual return to moderate dietary lifestyle is capable of producing clinically significant improvements in health and quality of life in individuals with MetS and poorly controlled T2D.

Iatrogenic Obesity

Obesity has been identified as a multifactorial disease with several determinants, including genetic predisposition, environmental influences, dietary patterns, and physical activity factors. Iatrogenic obesity, most commonly medication-induced weight gain, is often overlooked as a contributing factor to a patient's obesity. This article highlights medications known to cause weight gain.

Do the Natural Chemical Compounds Interact with the Same Targets of Current Pharmacotherapy for Weight Management?-A Review

BACKGROUND

Obesity has become a worldwide health concern. Pharmacotherapies are now being introduced because lifestyle modifications alone are insufficient for weight management. The treatment outcomes of current approved anti-obesity agents are not satisfying due to drug-related intolerances. And so natural therapies including herbal medicines are popular alternatives for weight reduction; however, there are limited studies about their mechanism of actions.

METHODS

Five databases (PubMed, Scopus, Google Scholar, Science Direct, Proquest) were searched to investigate the targets and safety profiles of the current and past anti-obesity drugs that have been approved by the Food and Drug Administration (FDA) or the European Medicines Agency (EMA) as well as the commonly used off-label agents. The targets for weight-loss natural products and their principle bioactive components have also been searched. Only articles in English were included.

RESULTS

The targets for current anti-obesity single agents include pancreatic lipase, Glucagon Like Peptide-1(GLP-1) receptor, and serotonin 2C (5-HT2C) receptor. Potential targets such as amylin, pancreatic alpha amylase, leptin receptor, melanocortin receptor 4 receptor (MC4R), Peroxisome Proliferator- Activated Receptors gamma (PPAR γ), endocannabinoid 1 (CB1) receptor and Adenosine Monophosphate (AMP)-Activated Protein Kinase (AMPK) were discussed in various studies. Natural compounds have been found to interact with targets like pancreatic lipase, pancreatic alpha amylase, AMPK and PPAR γ to achieve weight reduction.

CONCLUSION

Current pharmacotherapies and natural chemical compounds do act on same targets. Further investigations on the interactions between herbal compounds and the above targets are essential for the development of novel weight-loss therapies.

Utility of BMIQ, a novel web-based weight management programme, at an academic weight management centre

BACKGROUND

BMIQ is a customizable online platform used to deliver evidence-based behavioural management that complements office visits with healthcare providers. BMIQ offers educational materials, meal plans and tracking tools for patients, and remote monitoring and guidance for physicians. In this retrospective chart review, the implementation and utility of BMIQ was assessed in patients treated at the Comprehensive Weight Control Center (CWCC) at Weill Cornell Medicine.

METHODS

The study included all new patients seen at the CWCC between 9/1/2016 and 6/1/2017 who enrolled in BMIQ. Use of BMIQ was assessed by the number of enrolled patients who activated their account and viewed BMIQ sessions. Demographics, comorbidities, medications, and weight change during 6-month follow-up were obtained from the electronic medical records.

RESULTS

Of the 495 new patients enrolled in BMIQ, 217 met the inclusion criteria of 6-month follow-up. The mean age was 50.2 (±13.1) and 72% (n = 157) were female. Sixty-four percent (n = 138) activated their BMIQ account and viewed greater than or equal to 1 BMIQ session. The average number of physician and registered dietitian visits were 3.5 (±1.1) and 1.9 (±1.6), respectively. The average number of weight loss medications was 1.6 with metformin being the most commonly prescribed (76%). Mean weight loss at 6 months was 7.0 ± 5.9%; 59% achieved greater than or equal to 5% weight loss and 28% achieved greater than or equal to 10% weight loss. The total number of physician visits and weight-loss pharmacotherapies used were significant predictors of patients achieving greater than or equal to 5% weight loss. Regular BMIQ usage was an independent predictor of patients achieving both greater than or equal to 5% and greater than or equal to 10% weight loss at 6 months.

CONCLUSION

Clinically significant weight loss was achieved in the majority of patients with limited in-clinic physician and registered dietitian follow-up in combination with BMIQ. This retrospective study demonstrates the utility of online behavioural therapy as part of a medical weight management intervention.

The evidence of metabolic-improving effect of metformin in Ay/a mice with genetically-induced melanocortin obesity and the contribution of hypothalamic mechanisms to this effect

In diet-induced obesity, metformin (MF) has weight-lowering effect and improves glucose homeostasis and insulin sensitivity. However, there is no information on the efficiency of MF and the mechanisms of its action in melanocortin-type obesity. We studied the effect of the 10-day treatment with MF at the doses of 200, 400 and 600 mg/kg/day on the food intake and the metabolic and hormonal parameters in female C57Bl/6J (genotype A^y/a) agouti-mice with melanocortin-type obesity, and the influence of MF on the hypothalamic signaling in obese animals at the most effective metabolic dose (600 mg/kg/day). MF treatment led to a decrease in food intake, the body and fat weights, the plasma levels of glucose, insulin and leptin, all increased in agouti-mice, to an improvement of the lipid profile and glucose sensitivity, and to a reduced fatty liver degeneration. In the hypothalamus of obese agouti-mice, the leptin and insulin content was reduced and the expression of the genes encoding leptin receptor (LepR), MC₃- and MC₄-melanocortin receptors and pro-opiomelanocortin (POMC), the precursor of anorexigenic melanocortin peptides, was increased. The activities of AMP-activated kinase (AMPK) and the transcriptional factor STAT3 were increased, while Akt-kinase activity did not change from control C57Bl/6J (a/a) mice. In the hypothalamus of MF-treated agouti-mice (10 days, 600 mg/kg/day), the leptin and insulin content was restored, Akt-kinase activity was increased, and the activities of AMPK and STAT3 were reduced and did not differ from control mice. In the hypothalamus of MF-treated agouti-mice, the Pomc gene expression was six times higher than in control, while the gene expression for orexigenic neuropeptide Y was decreased by 39%. Thus, we first showed that MF treatment leads to an improvement of metabolic parameters and a decrease of hyperleptinemia and hyperinsulinaemia in genetically-induced melanocortin obesity, and the specific changes in the hypothalamic signaling makes a significant contribution to this effect of MF.

Randomized Controlled Trial of a Leucine-Metformin-Sildenafil Combination (NS-0200) on Weight and Metabolic Parameters

OBJECTIVE

Leucine was previously demonstrated to allosterically activate mammalian sirtuin 1 and synergize with other sirtuin 1/AMP-activated protein kinase/nitric oxide pathway activators to modulate energy metabolism. The objective of this study was to evaluate the effects of a triple combination of leucine, metformin, and sildenafil (NS-0200) on body weight and obesity comorbidities in a phase 2 randomized trial.

METHODS

A total of 91 subjects with obesity were randomized to placebo, low dose (1.1 g leucine/0.5 g metformin/0.5 mg sildenafil), or high dose (1.1 g leucine/0.5 g metformin/1.0 mg sildenafil) twice daily for 16 weeks. Seventy subjects completed the trial and met all a priori compliance criteria. Hypertensive (n = 35) and hypertriglyceridemic (n = 22) subcohorts were also analyzed.

RESULTS

NS-0200 dose-responsively reduced weight; high dose reduced weight by 2.4 and 5.0 kg in the full and high-triglyceride cohorts, respectively (P < 0.0001). High-dose NS-0200 treatment also decreased blood pressure (-5.5 mm Hg diastolic pressure; P = 0.011), with greater effects among hypertensive subjects. NS-0200 also significantly reduced triglycerides and hemoglobin A1c. Significant improvement in ≥ 2 comorbidities was exhibited by 54% of subjects in the high-dose arm versus 5% of placebo subjects (P = 0.0009). Treatment-emergent adverse events did not significantly differ among groups.

CONCLUSIONS

These data support further study of NS-0200 as a therapy for obesity and associated comorbidities.

Metformin Alters Gut Microbiota of Healthy Mice: Implication for Its Potential Role in Gut Microbiota Homeostasis

In recent years, the first-line anti-diabetic drug metformin has been shown to be also useful for the treatment of other diseases like cancer. To date, few reports were about the impact of metformin on gut microbiota. To fully understand the mechanism of action of metformin in treating diseases other than diabetes, it is especially important to investigate the impact of long-term metformin treatment on the gut microbiome in non-diabetic status. In this study, we treated healthy mice with metformin for 30 days, and observed 46 significantly changed gut microbes by using the 16S rRNA-based microbiome profiling technique. We found that microbes from the Verrucomicrobiaceae and Prevotellaceae classes were enriched, while those from Lachnospiraceae and Rhodobacteraceae were depleted. We further compared the altered microbiome profile with the profiles under various disease conditions using our recently developed comparative microbiome tool known as MicroPattern. Interestingly, the treatment of diabetes patients with metformin positively correlates with colon cancer and type 1 diabetes, indicating a confounding effect on the gut microbiome in patients with diabetes. However, the treatment of healthy mice with metformin exhibits a negative correlation with multiple inflammatory diseases, indicating a protective anti-inflammatory role of metformin in non-diabetes status. This result underscores the potential effect of metformin on gut microbiome homeostasis, which may contribute to the treatment of non-diabetic diseases.

Why Weight? An Analytic Review of Obesity Management, Diabetes Prevention, and Cardiovascular Risk Reduction

PURPOSE OF REVIEW

In this review, we examine one of the ironies of American health care-that we pay more for disease management than disease prevention. Instead of preventing type 2 diabetes (T2DM) by treating its precursor, obesity, we fail to provide sufficient insurance coverage for weight management only to fund the more costly burden of overt T2DM.

RECENT FINDINGS

There is a vital need for expanded insurance coverage to help foster a weight-centric approach to T2DM management. This includes broader coverage of anti-diabetic medications with evidence of cardiovascular risk reduction and mortality benefit, anti-obesity pharmacotherapy, bariatric surgery, weight loss devices, endoscopic bariatric therapies, and lifestyle interventions for the treatment of obesity. The fundamental question to ask is why weight? Why wait to go after obesity until its end-stage sequelae cause intractable conditions? Instead of managing the complications of T2DM, consider preventing them by tackling obesity.

Involvement of insulin resistance in D-galactose-induced age-related dementia in rats: Protective role of metformin and saxagliptin

Age-related dementia is one of the most devastating disorders affecting the elderly. Recently, emerging data suggest that impaired insulin signaling is the major contributor in the development of Alzheimer's dementia (AD), which is the most common type of senile dementia. In the present study, we investigated the potential therapeutic effects of metformin (Met) and saxagliptin (Saxa), as insulin sensitizing agents, in a rat model of brain aging and AD using D-galactose (D-gal, 150 mg/kg/day, s.c. for 90 successive days). Six groups of adult male Wistar rats were used: normal, D-gal, Met (500 mg/kg/day, p.o), and Saxa (1 mg/kg/day, p.o) control groups, as well as D-gal/Met and D-gal/Sax treated groups. Impaired learning and memory function was observed in rats treated with D-gal using Morris water maze test. Biochemical and histopathological findings also revealed some characteristic changes of AD in the brain that include the increased content of acetylcholine, glutamate, and phosphorelated tau, as well as deposition of amyloid plaques and neurofibrillary tangles. Induction of insulin resistance in experimentally aged rats was evidenced by increased blood glycated hemoglobin, brain contents of insulin and receptors for advanced glycated end-products, as well as decreased brain insulin receptor level. Elevation of oxidative stress markers and TNF-α brain content was also demonstrated. Met and Saxa, with a preference to Met, restored the normal memory and learning functions in rats, improved D-gal-induced state of insulin resistance, oxidative stress and inflammation, and ameliorated the AD biochemical and histopathological alterations in brain tissues. Our findings suggest that D-gal model of aging results in a diminishing of learning and memory function by producing a state of impaired insulin signaling that causes a cascade of deleterious events like oxidative stress, inflammation, and tau hyper-phosphorylation. Reversing of these harmful effects by the use of insulin-sensitizing drugs like Met and Saxa suggests their involvement in alleviation insulin resistance as the underlying pathology of AD and hence their potential use as anti-dementia drugs.

Off-label drugs for weight management

The global pandemic of obesity and overweight now affects between 2.8 and 3.5 billion of the world population and shows no signs of abatement. Treatment for what is now recognized as a chronic disease includes pharmacotherapy, considered an essential component of comprehensive therapy. New drug discovery is robust, but the pace of the US Food and Drug Administration approval for obesity drugs has been glacial, and only a handful of approved drugs are available for treating obesity. In the last 20 years, the US Food and Drug Administration has approved 208 drugs for cancer, 118 for cardiovascular diseases, 168 for neurological diseases, and 223 endocrinologic drugs, but only 6 for obesity, 2 of which have been taken off market. Currently, there are only 9 drugs approved by the FDA for obesity treatment. US physicians have turned to off-label drug use in their effort to care for increasing numbers of patients with excess adiposity. Phentermine is the most commonly used drug for treating obesity. Although approved only for short-term use, US physicians have used it successfully for long-term since its initial approval in 1959. This drug, used off-label for long-term, has proven to be safe and effective, far safer than the disease it is used to treat. Phentermine and diethylpropion, an equally safe but somewhat less effective drug, are both generic and therefore inexpensive. These drugs have been maligned inappropriately because their two-dimensional structure diagrams resemble amphetamine and also because of unproven presumptions about their potential adverse effects. In the face of an increasing epidemic, worldwide obese and overweight patients deserve effective treatment that prescribing these drugs could provide, if rehabilitated and used more frequently. US physicians will likely continue to use any drug proven useful off-label for this illness until such time as more effective drugs are approved.

Practical Use of Pharmacotherapy for Obesity

Obesity management requires a multidisciplinary approach, as there are many factors that contribute to the development of obesity, as well as the preservation of excess weight once it has been gained. Diet, exercise, and behavior modification are key components of treatment. In addition to lifestyle changes, weight gain secondary to medications is an important modifiable risk factor. Even after appropriate lifestyle modification, and medication adjustments (where possible) to avoid agents that can contribute to weight gain, many patients are still unable to achieve clinically meaningful weight loss. Pharmacotherapy for obesity management can fill an important role for these patients. This article will review medications that can lead to weight gain and potential alternatives, currently approved anti-obesity medications and best practices to individualize the selection process, and the use of testosterone in men with hypogonadism and obesity.

Nutrients in Energy and One-Carbon Metabolism: Learning from Metformin Users

Metabolic vulnerability is associated with age-related diseases and concomitant co-morbidities, which include obesity, diabetes, atherosclerosis and cancer. Most of the health problems we face today come from excessive intake of nutrients and drugs mimicking dietary effects and dietary restriction are the most successful manipulations targeting age-related pathways. Phenotypic heterogeneity and individual response to metabolic stressors are closely related food intake. Understanding the complexity of the relationship between dietary provision and metabolic consequences in the long term might provide clinical strategies to improve healthspan. New aspects of metformin activity provide a link to many of the overlapping factors, especially the way in which organismal bioenergetics remodel one-carbon metabolism. Metformin not only inhibits mitochondrial complex 1, modulating the metabolic response to nutrient intake, but also alters one-carbon metabolic pathways. Here, we discuss findings on the mechanism(s) of action of metformin with the potential for therapeutic interpretations.

Determinants of weight change in patients on basal insulin treatment: an analysis of the DIVE registry

OBJECTIVE

We aimed to describe patterns of weight change in insulin-naive patients with type 2 diabetes mellitus (T2DM) starting basal insulin (BI) treatment.

RESEARCH DESIGN AND METHODS

Diabetes Versorgungs-Evaluation (DIVE) is an observational, multicenter, prospective registry in patients with T2DM. Patients were divided into those initiating BI therapy for the first time (with optional oral antidiabetic drugs (OADs)) and those initiating OADs only (OADo).

RESULTS

521 patients were included in the analysis, 113 in the BI arm and 408 in the OADo arm. Relative to baseline, the BI group gained an average of 0.98±7.1 kg at 1 year, compared with a loss of 1.52±11.8 kg in the OADo group (p<0.001). This difference remained statistically significant when expressed as a proportional change from baseline (+0.014±0.08 vs -0.015±0.12, respectively (p<0.001)). Baseline weight (regression coefficient (RC) 0.89; 95% CI 0.81 to 0.97; p<0.001) and diabetes duration (RC 2.52; 95% CI 0.53 to 4.52; p=0.01) were the only factors identified as significant predictors of weight gain between baseline and 1 year follow-up in BI patients.

CONCLUSIONS

Though BI therapy leads to modest weight gain over the subsequent year, this may be limited by BI initiation at an early stage of the disease. As such, delaying the start of insulin therapy based on fears of weight gain appears counter-productive, and should be reconsidered.

Real-world therapeutic benefits of patients on insulin glargine versus NPH insulin

AIMS

The addition of a single injection of insulin to the oral drugs (basal supported oral therapy; BOT) has been shown to greatly reduce blood glucose levels. The intermediate-acting NPH insulin (NPH) and the long-acting insulin glargine (Lantus(®)) have been compared for use in BOT in numerous clinical trials; however, their efficacy and safety in a real-life setting have not been described.

METHODS

TIP (therapeutic benefits of patients on insulin glargine vs. NPH insulin being poorly controlled on prior short-time basal-insulin supported therapy with NPH insulin or insulin glargine) is a non-interventional, multicentre, observational study over 24 weeks. A total of 2629 patients were enrolled and 1931 were fully evaluable (1614 insulin glargine, 303 NPH insulin). Propensity scoring (PSM) was used to match 570 patients into 2 similar cohorts of 285 patients.

RESULTS

In the PSM cohort, a slightly greater reduction in FBG and HbA1c levels was seen in the insulin glargine group compared to the NPH group. A weight loss, which was slightly more pronounced in insulin glargine patients despite receiving a lower insulin dose relative to the NPH group, was seen in both the groups. Additionally, hypoglycaemia, including nocturnal and severe events, was more prevalent in the patients receiving BOT with NPH. The occurrence of new micro- or macro-vascular complications and adverse events was low for both groups. A large proportion of patients changed from NPH therapy to insulin glargine therapy during the study, which was mainly attributable to insufficient glucose modulation. Improvements in quality of life and treatment satisfaction were found for both types of insulin.

CONCLUSIONS

This observational study provides evidence from a real-life setting that BOT with insulin glargine provides slightly greater reductions in weight, FBG and HbA1c levels, with a lower risk of hypoglycaemia than patients receiving NPH. This conclusion indicates that insulin glargine may be preferable to NPH insulin for BOT.

Obesity Treatment at HealthPartners: Adaptation of Clinical Guidelines into Systems for Practice Operations

The purpose of this paper is to describe how HealthPartners health system in Minneapolis, MN, has translated a clinical guideline for obesity among adults into an efficient care delivery practice operations system. Based on a foundation provided by the physician-led Institute of Clinical Systems Improvement (ICSI)-developed Prevention and Management of Obesity for Adults Health Care Guideline, HealthPartners adapted the guideline into an electronic health record-based "Smart Set" that provides frontline physicians with the information, treatment options, and referral steps necessary to care for their patients with obesity. Additional context is provided in terms of insurance coverage and systems-based resources designed to prevent and treat obesity for adults.