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Bariatric Surgery Restores Cardiac and Sudomotor Autonomic C-Fiber Dysfunction towards Normal in Obese Subjects with Type 2 Diabetes

  • Carolina M. Casellini ,

    Contributed equally to this work with: Carolina M. Casellini, Henri K. Parson, Kim Hodges, Joshua F. Edwards, Aaron I. Vinik

    casellcm@evms.edu

    Affiliation Strelitz Diabetes Center for Endocrine and Metabolic Disorders and the Neuroendocrine Unit, Department of Medicine; Eastern Virginia Medical School, Norfolk, Virginia, United States of America

  • Henri K. Parson ,

    Contributed equally to this work with: Carolina M. Casellini, Henri K. Parson, Kim Hodges, Joshua F. Edwards, Aaron I. Vinik

    Affiliation Strelitz Diabetes Center for Endocrine and Metabolic Disorders and the Neuroendocrine Unit, Department of Medicine; Eastern Virginia Medical School, Norfolk, Virginia, United States of America

  • Kim Hodges ,

    Contributed equally to this work with: Carolina M. Casellini, Henri K. Parson, Kim Hodges, Joshua F. Edwards, Aaron I. Vinik

    Affiliation Strelitz Diabetes Center for Endocrine and Metabolic Disorders and the Neuroendocrine Unit, Department of Medicine; Eastern Virginia Medical School, Norfolk, Virginia, United States of America

  • Joshua F. Edwards ,

    Contributed equally to this work with: Carolina M. Casellini, Henri K. Parson, Kim Hodges, Joshua F. Edwards, Aaron I. Vinik

    Affiliation Strelitz Diabetes Center for Endocrine and Metabolic Disorders and the Neuroendocrine Unit, Department of Medicine; Eastern Virginia Medical School, Norfolk, Virginia, United States of America

  • David C. Lieb ,

    ‡ These authors also contributed equally to this work.

    Affiliation Strelitz Diabetes Center for Endocrine and Metabolic Disorders and the Neuroendocrine Unit, Department of Medicine; Eastern Virginia Medical School, Norfolk, Virginia, United States of America

  • Stephen D. Wohlgemuth ,

    ‡ These authors also contributed equally to this work.

    Affiliation Sentara Comprehensive Weight Loss Solutions, Sentara Medical Group, Norfolk, Virginia, United States of America

  • Aaron I. Vinik

    Contributed equally to this work with: Carolina M. Casellini, Henri K. Parson, Kim Hodges, Joshua F. Edwards, Aaron I. Vinik

    Affiliation Strelitz Diabetes Center for Endocrine and Metabolic Disorders and the Neuroendocrine Unit, Department of Medicine; Eastern Virginia Medical School, Norfolk, Virginia, United States of America

Abstract

Objective

The aim was to evaluate the impact of bariatric surgery on cardiac and sudomotor autonomic C-fiber function in obese subjects with and without Type 2 diabetes mellitus (T2DM), using sudorimetry and heart rate variability (HRV) analysis.

Method

Patients were evaluated at baseline, 4, 12 and 24 weeks after vertical sleeve gastrectomy or Roux-en-Y gastric bypass. All subjects were assessed using SudoscanTM to measure electrochemical skin conductance (ESC) of hands and feet, time and frequency domain analysis of HRV, Neurologic Impairment Scores of lower legs (NIS-LL), quantitative sensory tests (QST) and sural nerve conduction studies.

Results

Seventy subjects completed up to 24-weeks of follow-up (24 non-T2DM, 29 pre-DM and 17 T2DM). ESC of feet improved significantly towards normal in T2DM subjects (Baseline = 56.71±3.98 vs 12-weeks = 62.69±3.71 vs 24-weeks = 70.13±2.88, p<0.005). HRV improved significantly in T2DM subjects (Baseline sdNN (sample difference of the beat to beat (NN) variability) = 32.53±4.28 vs 12-weeks = 44.94±4.18 vs 24-weeks = 49.71±5.19, p<0,001 and baseline rmsSD (root mean square of the difference of successive R-R intervals) = 23.88±4.67 vs 12-weeks = 38.06±5.39 vs 24-weeks = 43.0±6.25, p<0.0005). Basal heart rate (HR) improved significantly in all groups, as did weight, body mass index (BMI), percent body fat, waist circumference and high-density lipoprotein (HDL). Glycated hemoglobin (HbA1C), insulin and HOMA2-IR (homeostatic model assessment) levels improved significantly in pre-DM and T2DM subjects. On multiple linear regression analysis, feet ESC improvement was independently associated with A1C, insulin and HOMA2-IR levels at baseline, and improvement in A1C at 24 weeks, after adjusting for age, gender and ethnicity. Sudomotor function improvement was not associated with baseline weight, BMI, % body fat or lipid levels. Improvement in basal HR was also independently associated with A1C, insulin and HOMA2-IR levels at baseline.

Conclusion

This study shows that bariatric surgery can restore both cardiac and sudomotor autonomic C-fiber dysfunction in subjects with diabetes, potentially impacting morbidity and mortality.

Introduction

Obesity has become a global epidemic and rates continue to increase, generating a secondary increase in the risk for type 2 diabetes mellitus (T2DM) and cardiovascular disease worldwide [1]. Bariatric surgery has shown to be highly effective in inducing sustained weight loss and diabetes remission, and in reducing cardiovascular events and mortality [212]. Roux en Y gastric bypass (RYGB) and vertical sleeve gastrectomy (VSG), among others, result in significant rates of diabetes remission that can persist for over 4 years after surgery [58, 1315]. However, the exact mechanisms by which these interventions induce long-term remission are still under debate and are not directly associated to weight loss per se. Intensive research that has emerged in the last decade shows that the process might be multifactorial, involving endocrine and sensory functions of the gastrointestinal tract, satiety hormones and regulation of appetite in the brain, β-cell function, insulin sensitivity and energy expenditure [16, 17].

Obesity in humans has been associated with autonomic dysfunction and increased sympathetic activity [1821]. Furthermore, some studies have shown that weight loss improves measures of heart rate variability (HRV) and autonomic imbalance after both dietary restriction [2226] and surgical interventions [2731].

Autonomic function is affected early in patients with diabetes and changes in cardiac and peripheral autonomic function have been shown to occur before the advent of traditional risk factors and markers of inflammation [32]. Furthermore, increased heart rate (HR) and cardiac autonomic dysfunction have recently emerged as major risk factors for the development of cardiovascular disease and diabetes [33, 34].

Cardiac autonomic function can be quantified by time and frequency dependent measures of HRV [35]. Sweat glands have a postganglionic sympathetic C-fiber innervation that is regulated by acetylcholine and neuro-peptidergic activity. The functional impairment of this system can be quantified by sudorimetry using the Sudoscan device that measures electrochemical skin conductance (ESC) of hands and feet [3640]. Sudoscan has shown to be useful in the detection of peripheral and autonomic diabetic neuropathy as well as diabetic nephropathy [4146].

We propose that the mechanisms by which bariatric surgery improves diabetes outcomes and cardiovascular mortality could be related, in part, to improvements in autonomic function. The aim of this study was to evaluate the impact of bariatric surgery on cardiac and sudomotor autonomic C-fiber function in obese subjects with and without type 2 diabetes, using measures of sudorimetry and HRV. We hypothesized that by changing the functionality of the gastrointestinal tract and drastically reducing obesity and adipose tissue, autonomic imbalance and c-fiber function would improve in obese subjects with dysglycemia.

Methods

The study included a total of 100 obese subjects with different stages of glycemic control. Subjects were evaluated at baseline and at 4, 12 and 24 weeks after bariatric surgery. Here we present an interim analysis on the first 70 patients who have completed up to 24-weeks of follow-up. Laparoscopic RYGP or VSG was performed in all participants and the decision regarding the type of surgery was made clinically by the surgeons. Exclusion criteria included: type 1 DM, chronic autoimmune conditions requiring treatment with immunosuppressive agents or systemic corticosteroids, history of epilepsy, active hepatitis B or C, or HIV infection, history of chronic arrhythmia, myocardial infarction (within 6 months of study enrollment), implanted pacemaker, active tobacco use, chronic use of weight loss medications, sympathomimetics, or other medications that could interfere with HRV interpretation. The study was approved by the Eastern Virginia Medical School Institutional Review Board, and all patients signed informed consent before participation.

Study Outcomes

The primary outcomes were change from baseline in sudomotor (feet ESC) and cardiac autonomic function measures (time and frequency dependent measures of HRV) 24 weeks after bariatric surgery. Secondary outcomes included changes in measures of somatic nerve function and changes in measures of glycemic control (HbA1C (glycated hemoglobin), insulin and HOMA-IR (homeostatic model assessment) levels)

The following measures were obtained at baseline, 4, 12, and 24 weeks after surgery:

Anthropometric measures

Height, weight, body mass index (BMI, calculated as weight in kilograms divided by height in meters squared), waist (inches), hip (inches), waist/hip ratio, and percent body fat (Bioelectrical impedance analysis (BIA) with the Omron HBF306C handheld device)

Quantitative Autonomic Function Tests and Heart Rate Variability (HRV)

After resting for 15 minutes, heart rate was continuously recorded for 15 minutes in a temperature-controlled room (22–24°C). Time and Frequency domain analysis of HRV was determined at rest for 5’ with the patient sitting and breathing at a controlled rate (15 breaths per minute), during deep breathing maneuvers and during Valsalva maneuvers to measure sympathetic and parasympathetic function, and autonomic balance. These procedures have been previously described in detail [35]. Specifically sdNN (sample difference of the beat to beat (NN) variability), which is a measure of both sympathetic and parasympathetic action on HRV, and rmsSD (root-mean square of the difference of successive R-R intervals), a measure primarily of parasympathetic activity were obtained. Analysis of HRV was assessed using ANSAR (ANX 3.0 software; ANSAR Group, Inc., Philadelphia, PA).

Sudomotor function

SudoscanTM (Impeto Medical, Paris, France) measures the capacity of the sweat glands to release chloride ions in response to electrochemical activation. A low-voltage (< 4V) galvanic current stimulates the underlying sweat glands, which generates a measurable flow of ions through the sweat ducts. Electrochemical Skin Conductance (ESC) of hands and feet are measured using 2 well-known principles: reverse iontophoresis and electrochemistry. ESC, expressed in micro-Siemens (μS), is the ratio between the current generated and the constant direct voltage stimulus applied between the electrodes. Measurement of ESC is dependent on the glands capability to transfer chloride ions and reflects small-C fiber function [38, 39]. During the test, patients were required to place their hands and feet on the electrodes and to stand still for 2–3 minutes. The device produces ESC results for individual right and left hands and feet. It then calculates an average score between right and left hands and feet. All the ESC results presented in this study correspond to the average ESC between right and left sides for both hands and feet. The reproducibility of these measurements has been validated in previous studies, and inter-device reproducibility has been confirmed through measurements with two different devices [40, 47].

Neurological evaluation of the lower extremities

Neuropathy Impairment Score of the lower legs (NIS-LL), subdivided into sensory, reflex and motor components was determined in all patients; as previously described [4850].

Quantitative sensory testing (QST)

We used previously published methods and algorithms for measuring small fiber somatosensory function, including pressure perception, cold and warm thermal sensation detection thresholds, and heat-induced pain detection thresholds at the great toes [50]. These were assessed with the Q-Sense device (Medoc Advanced Medical, Minneapolis, MN). For each of these stimuli we applied the method of limits, 4 trials with an inter-stimulus interval randomly varying from 4 to 20 seconds. Thresholds were calculated as the mean stimulus intensity level over all 4 responses. Results are reported as mean threshold levels and delta (δ) from baseline, which is the difference between baseline and detection threshold temperature.

Nerve conduction studies

Sural nerve amplitude potentials (SNAP) and conduction velocities were determined in the non-dominant leg using the DPN-Check devise (Neurometrix Inc., Waltham, MA) as previously described [51].

Blood samples were collected from all participants for determination of HbA1c, lipid profile including total serum cholesterol, HDL, LDL, triglycerides, and fatty acids, fasting plasma glucose, insulin, and C-peptide levels. Homeostatic model assessment-insulin resistance (HOMA-IR), Homeostatic model assessment-insulin sensitivity (HOMA%S) and Homeostatic model assessment β-cell function (HOMA%B) were calculated using the Oxford University on-line calculator (http://www.dtu.ox.ac.uk/homacalculator)[52, 53].

Statistical Analysis

Continuous variables are expressed as means ± SEM (standard error of mean). Normal distribution of each continuous and categorical variable was confirmed by a normality test to ensure all appropriate assumptions were met for each statistical test used during analysis. Parametric (analysis of variance ANOVA) and non-parametric tests (Wilcoxon signed-rank test) were used to compare baseline mean differences between the groups, depending on sample size and distribution. If significance was observed, post hoc analysis was performed (Tukey-Kramer, Wilcoxon). Fisher's Exact Test was used for categorical variable. Repeated measures multivariate ANOVA (MANOVA) was used to analyze change from Baseline to 4, 12, and 24 weeks post-surgery on main outcome measures of autonomic function (HRV and ESC of feet and hands) and other secondary outcomes. ANOVA with post hoc analysis was used to determine between group differences at endpoint in primary outcome measures. Multivariate linear regression models were used to determine factors associated with improvement in primary outcome measures of autonomic function. All statistical analyses were performed using JMP Pro 10 statistical software (SAS Institute Inc., NC), with the risk of Type I error set at α = 0.05.

Results

We included 70 obese subjects with different stages of glycemic control (24 non-DM, 29 pre-DM and 17 T2DM as defined by 2013 American Diabetes Association (ADA) guidelines)[54]. Baseline demographic characteristics of the 3 groups are shown in Table 1. As expected, subjects with T2DM had worse sudomotor and cardiac autonomic function together with worse neuropathy impairment scores and other measures of somatic nerve function, glucose, A1C, insulin, C-peptide levels and HOMA indexes. Subjects with pre-DM had significantly higher A1C levels when compared to non-DM subjects. VSG was performed in 56 subjects (80%) and RYGB in 14 subjects (20%).

Weight loss achieved at 24 weeks was similar in the 3 groups (% change from baseline: -36.90 in non-DM, -33.49 in pre-DM & -33.38 in T2DM subjects) as was % body fat (% change from baseline: -22.63 in non-DM, -24.82 in pre-DM & -21.72 in T2DM subjects) and BMI (Fig 1). These improvements were similar for both VSG and RYGB procedures (Fig 2).

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Fig 1. Changes in Anthropometric measures in the 3 groups after 24 weeks.

Data presented as mean ± SEM. p = NS (ANOVA between group comparison at 24 weeks). DM = diabetes mellitus

https://doi.org/10.1371/journal.pone.0154211.g001

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Fig 2. Changes in Anthropometric measures 24 weeks post roux-en-y gastric bypass or vertical sleeve gastrectomy.

Data presented as mean ± SEM. p = NS (ANOVA between group comparison at 24 weeks). RYGB = roux-en-Y gastric bypass; VSG = vertical sleeve gastrectomy

https://doi.org/10.1371/journal.pone.0154211.g002

Fig 3 shows sudomotor and cardiac autonomic function responses after 4, 12 and 24 weeks of surgery. Feet ESC improved significantly after 12 weeks and continued to improve at 24 weeks in the T2DM group but not in the other two groups (within group comparison). HRV measures also improved significantly in T2DM only, with the exception of basal HR that improved in all 3 groups (within group comparison). Type of surgical procedure (RYGB vs VSG) was included as a variable in the multivariate analysis done for each group. This was not found to be an independent factor influencing the improvement in sudomotor function (Table 2).

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Fig 3. Change in primary endpoints 4, 12 and 24 weeks after bariatric surgery.

*Repeated measures MANOVA. DB = deep breathing maneuver; DM = diabetes mellitus; ESC = electrochemical skin conductance; HR = heart rate; rmsSD = root mean square of the difference of successive R-R intervals; sdNN = sample difference of the beat to beat (NN) variability

https://doi.org/10.1371/journal.pone.0154211.g003

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Table 2. Comparison of sudomotor response between different surgical procedures (RYGB vs VSG).

https://doi.org/10.1371/journal.pone.0154211.t002

The anthropometric, metabolic and somatic nerve function results before and after surgery, are shown in Tables 3 & 4. Anthropometric measures improved significantly in all 3 groups, with the exception of waist/hip ratio that was only significantly reduced in the T2DM group. Systolic blood pressure was reduced significantly in non-DM & pre-DM subjects. Measures of somatic nerve dysfunction did not show significant improvements in any of the groups. Measures of glycemic control and insulin resistance significantly improved after bariatric surgery in subjects with diabetes and pre-diabetes. HDL increased significantly in all groups and fatty acid levels decreased significantly in pre-DM & non-DM groups.

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Table 3. Metabolic Measures after 4, 12 and 24 weeks of bariatric surgery.

https://doi.org/10.1371/journal.pone.0154211.t003

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Table 4. Somatic Neuropathy Measures after 4, 12 and 24 weeks of surgery in obese subjects with and without T2DM.

https://doi.org/10.1371/journal.pone.0154211.t004

When comparing improvements in primary endpoints, T2DM group % change in measures of sudomotor and cardiac autonomic function were significantly better that those observed in non- and pre-DM groups (between group comparison) (Fig 4).

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Fig 4. Changes in Sudomotor and Cardiac autonomic measures in the 3 groups.

Data presented as mean ± SEM *p<0.05 (ANOVA between group comparison at 24 weeks). DB = deep breathing maneuvers; DM = diabetes mellitus; ESC = electrochemical skin conductance; HR = heart rate; HRV = heart rate variability; rmsSD = root mean square of the difference of successive R-R intervals; sdNN = sample difference of the beat to beat (NN) variability

https://doi.org/10.1371/journal.pone.0154211.g004

On multiple linear regression analysis, feet ESC improvement at 24 weeks was independently associated with HbA1C, insulin and HOMA2-IR levels at baseline, and improvement in HbA1C at 24 weeks; after adjusting for age, gender and ethnicity. Sudomotor function improvement was not associated with baseline weight, BMI, % body fat or lipid levels at 24 weeks. Improvements in basal HR were also independently associated with HbA1C, insulin and HOMA2-IR levels at baseline, after adjusting for age, gender and ethnicity (Table 5). Percent change in basal HR correlated significantly with percent change in all HRV measures, after adjusting for age, gender, ethnicity and presence of DM (Fig 5).

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Fig 5. Correlations between improvements in heart rate with improvements in HRV measures 24 weeks after bariatric surgery.

DB = deep breathing maneuvers; HR = heart rate; HRV = heart rate variability; rmsSD = root mean square of the difference of successive R-R intervals; sdNN = sample difference of the beat to beat (NN) variability

https://doi.org/10.1371/journal.pone.0154211.g005

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Table 5. Association between improvements in sudomotor autonomic function and heart rate, and measures of glycemic and metabolic control.

https://doi.org/10.1371/journal.pone.0154211.t005

At study entry 14(88%) T2DM subjects were receiving metformin, 4 (25%) incretin-based therapies (GLP-1 analogs or DPP4 inhibitors), 3 (18%) sulfonylureas, 2(12%) thiazolidinediones and 2(12%) basal insulin. After 24 weeks only 2 patients (12%) were still on treatment with metformin. All other treatments were stopped. Adverse events were mild, transient and uncommon (<10%) and included food intolerance, nausea, headaches, cold intolerance, hair loss, fatigue, constipation and dizziness.

Discussion

This analysis shows that bariatric surgery significantly improves sudomotor and cardiac autonomic function in obese subjects with diabetes after 24 weeks. As expected weight, BMI, percent body fat and lipid levels improved in subjects with and without diabetes. Measures of glycemic control and insulin resistance improved in subjects with diabetes and pre-diabetes. In this cohort, improvement of sudomotor and cardiac autonomic functions were independently associated with the presence of DM, HbA1C, insulin and HOMA2-IR levels at baseline, and with improvement in HbA1C levels; but was not associated with improvement in weight, BMI, % body fat or lipid levels.

Even though several studies have shown improvements in cardiac autonomic function, to our knowledge the relationship between bariatric surgery and sudomotor C-fiber function in subjects with diabetes has not been reported before. Our group and others have previously shown that feet ESC has a high sensitivity and specificity for the detection of diabetic neuropathy [41, 43, 45]. Reductions in ESC also correlate with the presence of diabetic kidney disease [42, 44, 46]. Furthermore, measures of HRV correlated significantly with feet ESC in different cohorts [41, 45]. The results of this report show, for the first time, the clinical utility of Sudoscan as an endpoint measure in interventional studies.

Obesity is associated with reduced vagal function, increased sympathetic activity and sympathovagal imbalance [18, 20, 21, 55]. Hormonal changes in obesity such as insulin resistance, hyperinsulinemia, and hyperleptinemia have been implicated in the development of autonomic dysfunction in the obese state [56, 57]. Diet-induced weight loss improves HRV measures and autonomic imbalance in both obese otherwise healthy individuals and obese T2DM subjects [2226]. Recent studies have also reported on the effects of surgical interventions on measures of autonomic dysfunction [2731, 58]. Improvements in measures of HRV were reported in all these studies, both in non-DM as well as T2DM participants [5961]. However, these were either small, non-controlled studies or included few or no subjects with T2DM. Consensus regarding whether the improvements in autonomic function are related to improvements in other metabolic parameters is less clear. Maser and colleagues evaluated 32 obese patients (8 with T2DM) before and after RYGB. Similar to other groups, HRV measures increased significantly after 6 months, although this was independent from improvements in insulin resistance measures, weight and BMI [29]. Similar findings have been reported by others [30, 62]. Other studies have shown a direct association between changes in weight, BMI, waist circumference, insulin resistance measures, cholesterol and triglyceride levels, and changes in cardiac autonomic function [31, 61]. Our results show that improvements in both cardiac and sudomotor autonomic function are independently associated with measures of insulin resistance and glycemic control but not with weight, BMI or body fat.

This report demonstrates for the first time the effects of bariatric surgery on measures of sudomotor function in obese subjects with pre-DM. The lack of improvement in autonomic function measures in our group of subjects with pre-DM is surprising. We have previously shown that both autonomic and somatic nerve dysfunction occur early in dysglycemia, even before the diagnosis of DM [32, 63]. In this cohort, subjects with pre-DM had worse autonomic function measures when compared to non-DM participants. However, significant improvements in cardiac and sudomotor dysfunction were not seen in this group, despite the fact that insulin resistance measures did improve after surgery. It may be that the number of non-DM and pre-DM patients was insufficiently powered for the changes in cardiac autonomic function to reach significance. Nonetheless, subjects with pre-DM clearly differ from T2DM subjects and, accordingly, behave differently. These findings warrant further investigation.

It has been consistently shown that cardiac autonomic dysfunction is an independent risk factor for cardiovascular disease (CVD). In a post hoc analysis of two large cohorts of patients with stable chronic CVD (ONTARGET & TRANSCEND), resting baseline and in-trial average HR were independently associated with significant increases in cardiovascular events and all-cause mortality [34]. Wulsin and colleagues [33] examined the contribution of two measures of autonomic imbalance, resting heart rate and HRV, on the development of CVD, diabetes, and early mortality. Both measures, along with sex, age, and smoking were significant predictors for the development of CVD, DM and early mortality within 12 years in the Framingham Heart Study offspring cohort. This reinforces the importance of our findings and those of other groups on the effects of bariatric surgery in cardiac and sudomotor function. Furthermore, significant correlations were found between improvements in HR and other measures of HRV in our cohort (see Fig 5).

The significant changes in autonomic function that were not associated with weight, BMI, body fat, or lipid level changes suggest an independent mechanism and a probable link between the gastrointestinal tract, pancreatic β-cell function, insulin sensitivity and the hypothalamus, which involves GLP-1 and other hormones of the GI tract in the regulation of energy homeostasis via the central nervous system. Evaluation of inflammatory markers and intestinal hormones in conjunction with changes in autonomic function after bariatric surgery will help in further elucidating these mechanisms.

In contrast with the improvement in small fiber sudomotor function, measures of large fiber somatic nerve dysfunction did not show significant improvements after bariatric surgery. This is not surprising since the duration of the study (six months) is insufficient for recovery of myelinated nerve fibers, which in general take 2 or more years, presumably because of the slow rate of remyelination [64, 65].

The main limitation of our study is the lack of a control, non-surgical group. However, previous studies have consistently shown that bariatric surgery is significantly more effective than lifestyle interventions in restoring metabolic changes and improving microvascular outcomes in obese subjects with DM [2, 3, 58, 1114]. We acknowledge that, at the time of this report, the number of patients in each group is not equally distributed, with a smaller number of participants in the T2DM group. Nonetheless it was the latter that achieved significant change. We are also aware that 20% of the patients underwent RYGB, which differs from VSG. Current data suggest that glucose metabolism improvements occur earlier (before significant weight loss) and are more prominent in patients receiving RYGB vs. VSG or banding [2, 66]. Consequently this could have had different effects on glucose metabolism and sudomotor function in our cohort. However, a recent report from the Swedish Obese Subjects (SOS) study showed that improvements in glucose metabolism were not independently associated with the type of surgery performed [67]. Table 2 shows that sudomotor function improvement did not differ significantly between the two surgical procedures for each of the 3 groups on this report. Nonetheless we acknowledge that the statistical results could have been affected in this subgroup analysis due to the small sample size. In conclusion, this report shows that bariatric surgery can restore both cardiac and sudomotor autonomic C-fiber dysfunction towards normal in subjects with diabetes, potentially impacting morbidity and mortality. Results of in depth studies on GI hormones, inflammatory markers and cytokines will further elaborate on these findings, and improve our understanding of the underling mechanisms by which bariatric surgery improves cardiovascular disease and diabetes.

Acknowledgments

The authors want to thank Becky Marquez, Study Coordinator, at Sentara Comprehensive Weight Loss Solutions for her invaluable contribution to this study.

Author Contributions

Conceived and designed the experiments: CMC HKP DCL AIV. Performed the experiments: CMC JFE KH SDW. Analyzed the data: CMC JFE HKP AIV. Wrote the paper: CMC HKP JFE DCL AIV.

References

  1. 1. Dixon JB, le Roux CW, Rubino F, Zimmet P. Bariatric surgery for type 2 diabetes. Lancet 2012 Jun 16;379(9833):2300–11. pmid:22683132
  2. 2. Sjostrom L, Lindroos AK, Peltonen M, Torgerson J, Bouchard C, Carlsson B, et al. Lifestyle, diabetes, and cardiovascular risk factors 10 years after bariatric surgery. N Engl J Med 2004 Dec 23;351(26):2683–93. pmid:15616203
  3. 3. Carlsson LM, Peltonen M, Ahlin S, Anveden A, Bouchard C, Carlsson B, et al. Bariatric surgery and prevention of type 2 diabetes in Swedish obese subjects. N Engl J Med 2012 Aug 23;367(8):695–704. pmid:22913680
  4. 4. Sjostrom L, Peltonen M, Jacobson P, Sjostrom CD, Karason K, Wedel H, et al. Bariatric surgery and long-term cardiovascular events. JAMA 2012 Jan 4;307(1):56–65. pmid:22215166
  5. 5. Schauer PR, Kashyap SR, Wolski K, Brethauer SA, Kirwan JP, Pothier CE, et al. Bariatric surgery versus intensive medical therapy in obese patients with diabetes. N Engl J Med 2012 Apr 26;366(17):1567–76. pmid:22449319
  6. 6. Schauer PR, Bhatt DL, Kirwan JP, Wolski K, Brethauer SA, Navaneethan SD, et al. Bariatric surgery versus intensive medical therapy for diabetes—3-year outcomes. N Engl J Med 2014 May 22;370(21):2002–13. pmid:24679060
  7. 7. Mingrone G, Panunzi S, De GA, Guidone C, Iaconelli A, Leccesi L, et al. Bariatric surgery versus conventional medical therapy for type 2 diabetes. N Engl J Med 2012 Apr 26;366(17):1577–85. pmid:22449317
  8. 8. Ikramuddin S, Korner J, Lee WJ, Connett JE, Inabnet WB, Billington CJ, et al. Roux-en-Y gastric bypass vs intensive medical management for the control of type 2 diabetes, hypertension, and hyperlipidemia: the Diabetes Surgery Study randomized clinical trial. JAMA 2013 Jun 5;309(21):2240–9. pmid:23736733
  9. 9. Adams TD, Davidson LE, Litwin SE, Kolotkin RL, Lamonte MJ, Pendleton RC, et al. Health benefits of gastric bypass surgery after 6 years. JAMA 2012 Sep 19;308(11):1122–31. pmid:22990271
  10. 10. Courcoulas AP, Yanovski SZ, Bonds D, Eggerman TL, Horlick M, Staten MA, et al. Long-term outcomes of bariatric surgery: a National Institutes of Health symposium. JAMA Surg 2014 Dec;149(12):1323–9. pmid:25271405
  11. 11. Courcoulas AP, Goodpaster BH, Eagleton JK, Belle SH, Kalarchian MA, Lang W, et al. Surgical vs medical treatments for type 2 diabetes mellitus: a randomized clinical trial. JAMA Surg 2014 Jul;149(7):707–15. pmid:24899268
  12. 12. Gloy VL, Briel M, Bhatt DL, Kashyap SR, Schauer PR, Mingrone G, et al. Bariatric surgery versus non-surgical treatment for obesity: a systematic review and meta-analysis of randomised controlled trials. BMJ 2013;347:f5934. pmid:24149519
  13. 13. Sjostrom L, Peltonen M, Jacobson P, Ahlin S, Andersson-Assarsson J, Anveden A, et al. Association of bariatric surgery with long-term remission of type 2 diabetes and with microvascular and macrovascular complications. JAMA 2014 Jun 11;311(22):2297–304. pmid:24915261
  14. 14. Courcoulas AP, Belle SH, Neiberg RH, Pierson SK, Eagleton JK, Kalarchian MA, et al. Three-Year Outcomes of Bariatric Surgery vs Lifestyle Intervention for Type 2 Diabetes Mellitus Treatment: A Randomized Clinical Trial. JAMA Surg 2015 Oct 1;150(10):931–40. pmid:26132586
  15. 15. Golomb I, Ben DM, Glass A, Kolitz T, Keidar A. Long-term Metabolic Effects of Laparoscopic Sleeve Gastrectomy. JAMA Surg 2015 Aug 5.
  16. 16. Madsbad S, Dirksen C, Holst JJ. Mechanisms of changes in glucose metabolism and bodyweight after bariatric surgery. Lancet Diabetes Endocrinol 2014 Feb;2(2):152–64. pmid:24622719
  17. 17. Peterli R, Steinert RE, Woelnerhanssen B, Peters T, Christoffel-Court , Gass M, et al. Metabolic and hormonal changes after laparoscopic Roux-en-Y gastric bypass and sleeve gastrectomy: a randomized, prospective trial. Obes Surg 2012 May;22(5):740–8. pmid:22354457
  18. 18. Piestrzeniewicz K, Luczak K, Lelonek M, Wranicz JK, Goch JH. Obesity and heart rate variability in men with myocardial infarction. Cardiol J 2008;15(1):43–9. pmid:18651384
  19. 19. Straznicky NE, Lambert GW, McGrane MT, Masuo K, Dawood T, Nestel PJ, et al. Weight loss may reverse blunted sympathetic neural responsiveness to glucose ingestion in obese subjects with metabolic syndrome. Diabetes 2009 May;58(5):1126–32. pmid:19188428
  20. 20. Lambert E, Sari CI, Dawood T, Nguyen J, McGrane M, Eikelis N, et al. Sympathetic nervous system activity is associated with obesity-induced subclinical organ damage in young adults. Hypertension 2010 Sep;56(3):351–8. pmid:20625075
  21. 21. Lambert GW, Straznicky NE, Lambert EA, Dixon JB, Schlaich MP. Sympathetic nervous activation in obesity and the metabolic syndrome—causes, consequences and therapeutic implications. Pharmacol Ther 2010 May;126(2):159–72. pmid:20171982
  22. 22. Straznicky NE, Lambert EA, Lambert GW, Masuo K, Esler MD, Nestel PJ. Effects of dietary weight loss on sympathetic activity and cardiac risk factors associated with the metabolic syndrome. J Clin Endocrinol Metab 2005 Nov;90(11):5998–6005. pmid:16091482
  23. 23. Straznicky NE, Eikelis N, Nestel PJ, Dixon JB, Dawood T, Grima MT, et al. Baseline sympathetic nervous system activity predicts dietary weight loss in obese metabolic syndrome subjects. J Clin Endocrinol Metab 2012 Feb;97(2):605–13. pmid:22090279
  24. 24. Ito H, Ohshima A, Tsuzuki M, Ohto N, Yanagawa M, Maruyama T, et al. Effects of increased physical activity and mild calorie restriction on heart rate variability in obese women. Jpn Heart J 2001 Jul;42(4):459–69. pmid:11693282
  25. 25. Ravussin E. Impact of Six Month Caloric Restriction on Autonomic Nervous System in Healthy, Overweight Individuals. Obesity 2010;18:414–6. pmid:19910943
  26. 26. Ziegler D, Strom A, Nowotny B, Zahiragic L, Nowotny PJ, Carstensen-Kirberg M, et al. Effect of Low-Energy Diets Differing in Fiber, Red Meat, and Coffee Intake on Cardiac Autonomic Function in Obese Individuals With Type 2 Diabetes. Diabetes Care 2015 Sep;38(9):1750–7. pmid:26070589
  27. 27. Karason K, Molgaard H, Wikstrand J, Sjostrom L. Heart rate variability in obesity and the effect of weight loss. Am J Cardiol 1999 Apr 15;83(8):1242–7. pmid:10215292
  28. 28. Maser RE, Lenhard MJ, Irgau I, Wynn GM. Impact of surgically induced weight loss on cardiovascular autonomic function: one-year follow-up. Obesity (Silver Spring) 2007 Feb;15(2):364–9.
  29. 29. Maser RE, Lenhard MJ, Peters MB, Irgau I, Wynn GM. Effects of surgically induced weight loss by Roux-en-Y gastric bypass on cardiovascular autonomic nerve function. Surg Obes Relat Dis 2013 Mar;9(2):221–6. pmid:22222304
  30. 30. Perugini RA, Li Y, Rosenthal L, Gallagher-Dorval K, Kelly JJ, Czerniach DR. Reduced heart rate variability correlates with insulin resistance but not with measures of obesity in population undergoing laparoscopic Roux-en-Y gastric bypass. Surg Obes Relat Dis 2010 May;6(3):237–41. pmid:20005785
  31. 31. Nault I, Nadreau E, Paquet C, Brassard P, Marceau P, Marceau S, et al. Impact of bariatric surgery—induced weight loss on heart rate variability. Metabolism 2007 Oct;56(10):1425–30. pmid:17884456
  32. 32. Lieb DC, Parson HK, Mamikunian G, Vinik AI. Cardiac autonomic imbalance in newly diagnosed and established diabetes is associated with markers of adipose tissue inflammation. Exp Diabetes Res 2012;2012:878760. pmid:22110481
  33. 33. Wulsin LR, Horn PS, Perry JL, Massaro J, D'Agostino R. Autonomic Imbalance as a Predictor of Metabolic Risks, Cardiovascular Disease, Diabetes, and Mortality Autonomic Imbalance Predicts CVD, DM, Mortality. J Clin Endocrinol Metab 2015 Mar 31;jc20144123.
  34. 34. Lonn EM, Rambihar S, Gao P, Custodis FF, Sliwa K, Teo KK, et al. Heart rate is associated with increased risk of major cardiovascular events, cardiovascular and all-cause death in patients with stable chronic cardiovascular disease: an analysis of ONTARGET/TRANSCEND. Clin Res Cardiol 2014 Feb;103(2):149–59. pmid:24356937
  35. 35. Vinik AI, Ziegler D. Diabetic cardiovascular autonomic neuropathy. Circulation 2007 Jan 23;115(3):387–97. pmid:17242296
  36. 36. Gibbons CH, Illigens BM, Wang N, Freeman R. Quantification of sweat gland innervation: a clinical-pathologic correlation. Neurology 2009 Apr 28;72(17):1479–86. pmid:19398703
  37. 37. Vinik AI, Nevoret M, Casellini C, Parson H. Neurovascular function and sudorimetry in health and disease. Curr Diab Rep 2013 Aug;13(4):517–32. pmid:23681491
  38. 38. Mayaudon H, Miloche PO, Bauduceau B. A new simple method for assessing sudomotor function: relevance in type 2 diabetes. Diabetes Metab 2010 Dec;36(6 Pt 1):450–4. pmid:20739207
  39. 39. Gin H, Baudoin R, Raffaitin CH, Rigalleau V, Gonzalez C. Non-invasive and quantitative assessment of sudomotor function for peripheral diabetic neuropathy evaluation. Diabetes Metab 2011 Dec;37(6):527–32. pmid:21715211
  40. 40. Calvet JH, Dupin J, Winiecki H, Schwarz PEH. Assessment of Small Fiber Neuropathy through a Quick, Simple and Non Invasive Method in a German Diabetes Outpatient Clinic. Exp Clin Endocrinol Diabetes 2012;120:1–4.
  41. 41. Casellini CM, Parson HK, Richardson MS, Nevoret ML, Vinik AI. Sudoscan, a Noninvasive Tool for Detecting Diabetic Small Fiber Neuropathy and Autonomic Dysfunction. Diabetes Technol Ther 2013 Jul 27;15(11):948–53. pmid:23889506
  42. 42. Freedman BI, Smith SC, Bagwell BM, Xu J, Bowden DW, Divers J. Electrochemical Skin Conductance in Diabetic Kidney Disease. Am J Nephrol 2015;41(6):438–47. pmid:26228248
  43. 43. Smith AG, Lessard M, Reyna S, Doudova M, Singleton JR. The diagnostic utility of Sudoscan for distal symmetric peripheral neuropathy. J Diabetes Complications 2014 Jul;28(4):511–6. pmid:24661818
  44. 44. Luk AO, Fu WC, Li X, Ozaki R, Chung HH, Wong RY, et al. The Clinical Utility of SUDOSCAN in Chronic Kidney Disease in Chinese Patients with Type 2 Diabetes. PLoS One 2015;10(8):e0134981. pmid:26270544
  45. 45. Selvarajah D, Cash T, Davies J, Sankar A, Rao G, Grieg M, et al. SUDOSCAN: A Simple, Rapid, and Objective Method with Potential for Screening for Diabetic Peripheral Neuropathy. PLos One 2015;10(10):e0138224. pmid:26457582
  46. 46. Freedman BI, Bowden DW, Smith SC, Xu J, Divers J. Relationships between electrochemical skin conductance and kidney disease in Type 2 diabetes. J Diabetes Complications 2014 Jan;28(1):56–60. pmid:24140119
  47. 47. Raisanen A, Eklund J, Calvet J- H, Tuomilehto J. Sudomotor function as a tool for cardiorespiratory fitness level evaluation: comparison with VO2 max. Int J Environ Res Public Health 2014;11 ():5839–48. pmid:24886754
  48. 48. Dyck PJ, Davies JL, Litchy WJ, O'Brien PC. Longitudinal assessment of diabetic polyneuropathy using a composite score in the Rochester Diabetic Neuropathy Study cohort. Neurology 1997 Jul;49(1):229–39. pmid:9222195
  49. 49. Bril V. NIS-LL: the primary measurement scale for clinical trial endpoints in diabetic peripheral neuropathy. Eur Neurol 1999;41 Suppl 1:8–13:8–13. pmid:10023123
  50. 50. Vinik AI, Erbas T, Park TS. Methods for evaluation of peripheral neurovascular dysfunction. Diabetes Technology and Therapeutics 2001;3:29–50. pmid:11469707
  51. 51. Lee JA, Halpern EM, Lovblom LE, Yeung E, Bril V, Perkins BA. Reliability and validity of a point-of-care sural nerve conduction device for identification of diabetic neuropathy. PLoS One 2014;9(1):e86515. pmid:24466129
  52. 52. Levy JC, Matthews DR, Hermans MP. Correct homeostasis model assessment (HOMA) evaluation uses the computer program. Diabetes Care 1998 Dec;21(12):2191–2. pmid:9839117
  53. 53. Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care 2004 Jun;27(6):1487–95. pmid:15161807
  54. 54. Standards of medical care in diabetes—2013. Diabetes Care 2013 Jan;36 Suppl 1:S11–S66. pmid:23264422
  55. 55. Kassir R, Barthelemy JC, Roche F, Blanc P, Zufferey P, Galusca B, et al. Bariatric surgery associated with percutaneous auricular vagal stimulation: A new prospective treatment on weight loss. Int J Surg 2015 Jun;18:55–6. pmid:25868422
  56. 56. Quilliot D, Bohme P, Zannad F, Ziegler O. Sympathetic-leptin relationship in obesity: effect of weight loss. Metabolism 2008 Apr;57(4):555–62. pmid:18328360
  57. 57. Skrapari I, Tentolouris N, Katsilambros N. Baroreflex function: determinants in healthy subjects and disturbances in diabetes, obesity and metabolic syndrome. Curr Diabetes Rev 2006 Aug;2(3):329–38. pmid:18220637
  58. 58. Wu JM, Yu HJ, Lai HS, Yang PJ, Lin MT, Lai F. Improvement of heart rate variability after decreased insulin resistance after sleeve gastrectomy for morbidly obesity patients. Surg Obes Relat Dis 2015 May;11(3):557–63. pmid:25630807
  59. 59. Lips MA, de Groot GH, De KM, Berends FJ, Wiezer R, Van Wagensveld BA, et al. Autonomic nervous system activity in diabetic and healthy obese female subjects and the effect of distinct weight loss strategies. Eur J Endocrinol 2013 Oct;169(4):383–90. pmid:23847327
  60. 60. Kokkinos A, Alexiadou K, Liaskos C, Argyrakopoulou G, Balla I, Tentolouris N, et al. Improvement in cardiovascular indices after Roux-en-Y gastric bypass or sleeve gastrectomy for morbid obesity. Obes Surg 2013 Jan;23(1):31–8. pmid:22923313
  61. 61. Machado MB, Velasco IT, Scalabrini-Neto A. Gastric bypass and cardiac autonomic activity: influence of gender and age. Obes Surg 2009 Mar;19(3):332–8. pmid:18719968
  62. 62. Bobbioni-Harsch E, Sztajzel J, Barthassat V, Makoundou V, Gastaldi G, Sievert K, et al. Independent evolution of heart autonomic function and insulin sensitivity during weight loss. Obesity (Silver Spring) 2009 Feb;17(2):247–53.
  63. 63. Mehrabyan A, Pittenger G, Burcus N, Simmons K, Dublin C. Polyneuropathy in Patients with Dysmetabolic Syndrome and Newly Diagnosed. Diabetes 200453 (Suppl 2):A510.
  64. 64. Ziegler D, Low PA, Litchy WJ, Boulton AJ, Vinik AI, Freeman R, et al. Efficacy and safety of antioxidant treatment with alpha-lipoic acid over 4 years in diabetic polyneuropathy: the NATHAN 1 trial. Diabetes Care 2011 Sep;34(9):2054–60. pmid:21775755
  65. 65. Ziegler D, Low PA, Freeman R, Tritschler H, Vinik AI. Predictors of improvement and progression of diabetic polyneuropathy following treatment with alpha-lipoic acid for 4years in the NATHAN 1 trial. J Diabetes Complications 2016 Mar;30(2):350–6. pmid:26651260
  66. 66. Buchwald H, Estok R, Fahrbach K, Banel D, Jensen MD, Pories WJ, et al. Weight and type 2 diabetes after bariatric surgery: systematic review and meta-analysis. Am J Med 2009 Mar;122(3):248–56. pmid:19272486
  67. 67. Sjoholm K, Sjostrom E, Carlsson LM, Peltonen M. Weight Change-Adjusted Effects of Gastric Bypass Surgery on Glucose Metabolism: Two- and 10-Year Results From the Swedish Obese Subjects (SOS) Study. Diabetes Care 2015 Dec 17.