Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Darcy L. Johannsen is active.

Publication


Featured researches published by Darcy L. Johannsen.


Current Opinion in Pharmacology | 2009

The role of mitochondria in health and disease.

Darcy L. Johannsen; Eric Ravussin

Mitochondria play a key role in energy metabolism in many tissues, including skeletal muscle and liver. Inherent disorders of mitochondria such as DNA deletions cause major disruption of metabolism and can result in severe impairment or death. However, the occurrence of such disorders is extremely rare and cannot account for the majority of metabolic disease. Recently, mitochondrial dysfunction of a more subtle nature in skeletal muscle has been implicated in the pathology of chronic metabolic disease characterized by insulin resistance such as obesity, type 2 diabetes mellitus, and aging. This hypothesis has been substantiated by work from Shulman and colleagues, showing that reduced mitochondrial oxidative capacity underlies the accumulation of intramuscular fat causing insulin resistance with aging. However, recent work by Nair and coworkers has demonstrated that mitochondrial activity may actually be higher in persons exposed to high-calorie diet leading to obesity, suggesting that the accumulation of intramuscular fat and associated fatty acid metabolites may be directly responsible for the development of insulin resistance, independent of mitochondrial function. These inconsistent findings have promoted ongoing investigation into mitochondrial function to determine whether impaired function is a cause or consequence of metabolic disorders.


Diabetes Care | 2014

Effect of 8 Weeks of Overfeeding on Ectopic Fat Deposition and Insulin Sensitivity: Testing the “Adipose Tissue Expandability” Hypothesis

Darcy L. Johannsen; Yourka D. Tchoukalova; Charmaine S. Tam; Jeffrey D. Covington; Wenting Xie; Jean-Marc Schwarz; Sudip Bajpeyi; Eric Ravussin

OBJECTIVE The presence of large subcutaneous adipocytes in obesity has been proposed to be linked with insulin resistance and type 2 diabetes through the “adipose tissue expandability” hypothesis, which holds that large adipocytes have a limited capacity for expansion, forcing lipids to be stored in nonadipose ectopic depots (skeletal muscle, liver), where they interfere with insulin signaling. This hypothesis has, however, been largely formulated by cross-sectional findings and to date has not been prospectively demonstrated in the development of insulin resistance in humans. RESEARCH DESIGN AND METHODS Twenty-nine men (26.8 ± 5.4 years old; BMI 25.5 ± 2.3 kg/m2) were fed 40% more than their baseline requirement for 8 weeks. Before and after overfeeding, insulin sensitivity was determined using a two-step hyperinsulinemic-euglycemic clamp. Intrahepatic lipid (IHL) and intramyocellular lipid (IMCL) were measured by 1H-MRS and abdominal fat by MRI. Subcutaneous abdominal adipose and skeletal muscle tissues were collected to measure adipocyte size and markers of tissue inflammation. RESULTS Subjects gained 7.6 ± 2.1 kg (55% fat) and insulin sensitivity decreased 18% (P < 0.001) after overfeeding. IHL increased 46% from 1.5% to 2.2% (P = 0.002); however, IMCL did not change. There was no association between adipocyte size and ectopic lipid accumulation. Despite similar weight gain, subjects with smaller fat cells at baseline had a greater decrease in insulin sensitivity, which was linked with upregulated skeletal muscle tissue inflammation. CONCLUSIONS In experimental substantial weight gain, the presence of larger adipocytes did not promote ectopic lipid accumulation. In contrast, smaller fat cells were associated with a worsened metabolic response to overfeeding.


The Journal of Clinical Endocrinology and Metabolism | 2012

Ectopic lipid accumulation and reduced glucose tolerance in elderly adults are accompanied by altered skeletal muscle mitochondrial activity.

Darcy L. Johannsen; Kevin E. Conley; Sudip Bajpeyi; Mark Punyanitya; Dympna Gallagher; Zhengyu Zhang; Jeffrey D. Covington; Steven R. Smith; Eric Ravussin

CONTEXT Aging is associated with insulin resistance and unfavorable changes in body composition including increased fat accumulation, particularly in visceral and ectopic depots. Recent studies suggest that skeletal muscle mitochondrial activity may underlie some age-associated metabolic abnormalities. OBJECTIVE Our objective was to measure mitochondrial capacity and coupling of the vastus lateralis muscle in elderly and young adults using novel in vivo approaches and relate mitochondrial activity to metabolic characteristics. DESIGN This was a cross-sectional study. PARTICIPANTS AND INTERVENTION Fourteen sedentary young (seven males and seven females, 20-34 yr of age) and 15 sedentary elderly (seven males and eight females, 70-84 yr of age) nonobese subjects selected for similar body weight underwent measures of body composition by magnetic resonance imaging and dual-energy x-ray absorptiometry, oral glucose tolerance, and in vivo mitochondrial activity by (31)P magnetic resonance and optical spectroscopy. Muscle biopsy was carried out in the same muscle to measure mitochondrial content, antioxidant activity, fiber type, and markers of mitochondrial biogenesis. RESULTS Elderly volunteers had reduced mitochondrial capacity (P = 0.05) and a trend for decreased coupling efficiency (P = 0.08) despite similar mitochondrial content and fiber type distribution. This was accompanied by greater whole-body oxidative stress (P = 0.007), less skeletal muscle mass (P < 0.001), more adipose tissue in all depots (P ≤ 0.002) except intramyocellular (P = 0.72), and lower glucose tolerance (P = 0.07). CONCLUSIONS Elderly adults show evidence of altered mitochondrial activity along with increased adiposity, oxidative stress, and reduced glucose tolerance, independent of obesity. We propose that mild uncoupling may be induced secondary to age-associated oxidative stress as a mechanism to dissipate the proton-motive force and protect against further reactive oxygen species production and damage.


Obesity | 2014

Metabolic adaptation following massive weight loss is related to the degree of energy imbalance and changes in circulating leptin

Nicolas D. Knuth; Darcy L. Johannsen; Robyn A. Tamboli; Pamela A. Marks-Shulman; Robert Huizenga; Kong Y. Chen; Naji N. Abumrad; Eric Ravussin; Kevin D. Hall

To measure changes in resting metabolic rate (RMR) and body composition in obese subjects following massive weight loss achieved via bariatric surgery or calorie restriction plus vigorous exercise.


Journal of Applied Physiology | 2008

Physical activity in aging: Comparison among young, aged, and nonagenarian individuals

Darcy L. Johannsen; James P. DeLany; Madlyn I. Frisard; Michael A. Welsch; Christina K. Rowley; Xiaobing Fang; S. Michal Jazwinski; Eric Ravussin

Physical activity (PA) is known to decline with age; however, there is a paucity of data on activity in persons who are in their nineties and beyond. We used objective and reliable methods to measure PA in nonagenarians (>or=90 yr; n=98) and hypothesized that activity would be similar to that of aged (60-74 yr; n=58) subjects but less than in young (20-34 yr; n=53) volunteers. Total energy expenditure (TEE) was measured by doubly labeled water over 14 days and resting metabolic rate (RMR) by indirect calorimetry. Measures of PA included activity energy expenditure adjusted for body composition, TEE adjusted for RMR, physical activity level (PAL), and activity over 14 days by accelerometry expressed as average daily durations of light and moderate activity. RMR and TEE were lower with increasing age group (P<0.01); however, RMR was not different between aged and nonagenarian subjects after adjusting for fat-free mass, fat mass, and sex. Nonagenarians had a lower PAL and were more sedentary than the aged and young groups (P<0.01); however, the nonagenarians who were more active on a daily basis walked further during a timed test, indicating higher physical functionality. For all measures of activity, no differences were found between young and aged volunteers. PA was markedly lower in nonagenarians compared with young and aged adults. Interestingly, PA was similar between young volunteers and those who were in their 60s and 70s, likely due to the sedentary nature of our society, particularly in young adults.


The Journal of Clinical Endocrinology and Metabolism | 2014

Weight Gain Reveals Dramatic Increases in Skeletal Muscle Extracellular Matrix Remodeling

Charmaine S. Tam; Jeffrey D. Covington; Sudip Bajpeyi; Yourka D. Tchoukalova; David H. Burk; Darcy L. Johannsen; Cristina M. Zingaretti; Saverio Cinti; Eric Ravussin

CONTEXT In animal models of obesity, chronic inflammation and dysregulated extracellular matrix remodeling in adipose tissue leads to insulin resistance. Whether similar pathophysiology occurs in humans is not clear. OBJECTIVE The aim of this study was to test whether 10% weight gain induced by overfeeding triggers inflammation and extracellular matrix remodeling (gene expression, protein, histology) in skeletal muscle and sc adipose tissue in humans. We also investigated whether such remodeling was associated with an impaired metabolic response (hyperinsulinemic-euglycemic clamp). DESIGN, SETTING, PARTICIPANTS, AND INTERVENTION Twenty-nine free-living males were fed 40% over their baseline energy requirements for 8 weeks. RESULTS Ten percent body weight gain prompted dramatic up-regulation of a repertoire of extracellular matrix remodeling genes in muscle and to a lesser degree in adipose tissue. The amount of extracellular matrix genes in the muscle were directly associated with the amount of lean tissue deposited during overfeeding. Despite weight gain and impaired insulin sensitivity, there was no change in local adipose tissue or systemic inflammation, but there was a slight increase in skeletal muscle inflammation. CONCLUSION We propose that skeletal muscle extracellular matrix remodeling is another feature of the pathogenic milieu associated with energy excess and obesity, which, if disrupted, may contribute to the development of metabolic dysfunction.


Obesity | 2012

Low Macrophage Accumulation in Skeletal Muscle of Obese Type 2 Diabetics and Elderly Subjects

Charmaine S. Tam; Lauren M. Sparks; Darcy L. Johannsen; Jeffrey D. Covington; Timothy S. Church; Eric Ravussin

In addition to adipose tissue, recent studies suggest that skeletal muscle may also be a source of low‐grade inflammation, particularly in inactive and/or overweight individuals. The aim of this study was to examine the presence of macrophages in skeletal muscle from obese subjects with type 2 diabetes (T2D) before and after a 9‐month exercise program (vs. a non‐exercising control group) (Study 1) and in young vs. elderly subjects (Study 2). In both studies, CD68+ macrophages in vastus lateralis biopsies were determined by immunohistochemistry and inflammation gene expression measured. Macrophage content (%) was calculated by the number of macrophages per 100 muscle fibers. In Study 1, we found relatively low numbers (2–3%) of CD68+ macrophages in skeletal muscle in obese T2D subjects (BMI = 37.3 ± 5.2 kg/m2), which were unchanged after a 9‐month exercise program (P = 0.42). Similarly, in Study 2 (BMI = 27.1 ± 2.5 kg/m2), CD68+ macrophages were relatively low in muscle (4–5%) and were not different between young and elderly individuals (P = 0.42). However, elderly subjects had twofold higher CD68 and CD206 gene expression (both P < 0.002) than young participants. In both studies, CD68+ muscle macrophages were not associated with BMI. In conclusion, we found little evidence of macrophage accumulation in skeletal muscle in obese T2D subjects or in elderly individuals. A 9‐month exercise program was not associated with a decrease in macrophage content.


Metabolomics | 2014

Meta-analysis of global metabolomic data identifies metabolites associated with life-span extension

Gary J. Patti; Ralf Tautenhahn; Darcy L. Johannsen; Ewa Kalisiak; Eric Ravussin; Jens C. Brüning; Andrew Dillin; Gary Siuzdak

The manipulation of distinct signaling pathways and transcription factors has been shown to influence life span in a cell-non-autonomous manner in multicellular model organisms such as Caenorhabditis elegans. These data suggest that coordination of whole-organism aging involves endocrine signaling, however, the molecular identities of such signals have not yet been determined and their potential relevance in humans is unknown. Here we describe a novel metabolomic approach to identify molecules directly associated with extended life span in C. elegans that represent candidate compounds for age-related endocrine signals. To identify metabolic perturbations directly linked to longevity, we developed metabolomic software for meta-analysis that enabled intelligent comparisons of multiple different mutants. Simple pairwise comparisons of long-lived glp-1, daf-2, and isp-1 mutants to their respective controls resulted in more than 11,000 dysregulated metabolite features of statistical significance. By using meta-analysis, we were able to reduce this number to six compounds most likely to be associated with life-span extension. Mass spectrometry-based imaging studies suggested that these metabolites might be localized to C. elegans muscle. We extended the metabolomic analysis to humans by comparing quadricep muscle tissue from young and old individuals and found that two of the same compounds associated with longevity in worms were also altered in human muscle with age. These findings provide candidate compounds that may serve as age-related endocrine signals and implicate muscle as a potential tissue regulating their levels in humans.


PLOS ONE | 2012

Effect of Short-Term Thyroxine Administration on Energy Metabolism and Mitochondrial Efficiency in Humans

Darcy L. Johannsen; Jose E. Galgani; Neil M. Johannsen; Zhengyu Zhang; Jeffrey D. Covington; Eric Ravussin

The physiologic effects of triiodothyronine (T3) on metabolic rate are well-documented; however, the effects of thyroxine (T4) are less clear despite its wide-spread use to treat thyroid-related disorders and other non-thyroidal conditions. Here, we investigated the effects of acute (3-day) T4 supplementation on energy expenditure at rest and during incremental exercise. Furthermore, we used a combination of in situ and in vitro approaches to measure skeletal muscle metabolism before and after T4 treatment. Ten healthy, euthyroid males were given 200 µg T4 (levothyroxine) per day for 3 days. Energy expenditure was measured at rest and during exercise by indirect calorimetry, and skeletal muscle mitochondrial function was assessed by in situ ATP flux (31P MRS) and in vitro respiratory control ratio (RCR, state 3/state 4 rate of oxygen uptake using a Clark-type electrode) before and after acute T4 treatment. Thyroxine had a subtle effect on resting metabolic rate, increasing it by 4% (p = 0.059) without a change in resting ATP demand (i.e., ATP flux) of the vastus lateralis. Exercise efficiency did not change with T4 treatment. The maximal capacity to produce ATP (state 3 respiration) and the coupled state of the mitochondria (RCR) were reduced by approximately 30% with T4 (p = 0.057 and p = 0.04, respectively). Together, the results suggest that T4, although less metabolically active than T3, reduces skeletal muscle efficiency and modestly increases resting metabolism even after short-term supplementation. Our findings may be clinically relevant given the expanding application of T4 to treat non-thyroidal conditions such as obesity and weight loss.


The American Journal of Clinical Nutrition | 2014

Determinants of sedentary 24-h energy expenditure: equations for energy prescription and adjustment in a respiratory chamber

Yan Y Lam; Leanne M. Redman; Steven R. Smith; George A. Bray; Frank L. Greenway; Darcy L. Johannsen; Eric Ravussin

BACKGROUND Achieving energy balance is critical for the interpretation of results obtained in respiratory chambers. However, 24-h energy expenditure (24EE) predictions based on estimated resting metabolic rate and physical activity level are often inaccurate and imprecise. OBJECTIVE We aimed to develop and validate equations to better achieve energy balance in a respiratory chamber by adding or subtracting food items. DESIGN By using a randomized data set with measures of 24EE (n = 241) performed at the Pennington Biomedical Research Center, we developed equations to predict 24EE from anthropometric, demographic, and body composition variables before and at 3 and 7 h into the chamber measurement. The equations were tested on an independent data set (n = 240) and compared with published predictive equations. RESULTS By using anthropometric and demographic variables, the equation was as follows: 24EE (kcal/d) = 11.6 [weight (kg)] + 8.03 [height (cm)] - 3.45 [age (y)] + 217 (male) - 52 (African American) - 235. The mean prediction error was -9 ± 155 kcal/d (2046 ± 305 compared with 2055 ± 343 kcal/d for measured 24EE; P = 0.36). The prediction achieved a precision of ±10% of measured 24EE in 83% of the participants. Energy prescription was then refined by equations with the use of energy expenditure values after 3 h, 7 h, or both into the chamber study. These later equations improved the precision (±10% of measured 24EE) to 92% (P = 0.003) and 96% (P < 0.0001) of the participants at 3 and 7 h, respectively. Body composition did not improve 24EE predictions. CONCLUSIONS We showed the use of a set of equations to prescribe and adjust energy intake to achieve energy balance in respiratory chambers over 24 h. These equations may be used in most respiratory chambers and modified to accommodate exercise or specific feeding protocols.

Collaboration


Dive into the Darcy L. Johannsen's collaboration.

Top Co-Authors

Avatar

Eric Ravussin

Pennington Biomedical Research Center

View shared research outputs
Top Co-Authors

Avatar

Jeffrey D. Covington

Pennington Biomedical Research Center

View shared research outputs
Top Co-Authors

Avatar

Sudip Bajpeyi

University of Texas at El Paso

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Leanne M. Redman

Pennington Biomedical Research Center

View shared research outputs
Top Co-Authors

Avatar

David H. Burk

Pennington Biomedical Research Center

View shared research outputs
Top Co-Authors

Avatar

George A. Bray

Louisiana State University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Yourka D. Tchoukalova

Pennington Biomedical Research Center

View shared research outputs
Top Co-Authors

Avatar

Zhengyu Zhang

Pennington Biomedical Research Center

View shared research outputs
Researchain Logo
Decentralizing Knowledge