Page 1 of 44 Diabetes

Human muscle fiber type specific signaling – Impact of obesity and type 2 diabetes

Peter H. Albers1,2, Andreas J.T. Pedersen3, Jesper B. Birk1, Dorte E. Kristensen1, Birgitte F. Vind3,

Otto Baba4, Jane Nøhr2, Kurt Højlund3, Jørgen F.P. Wojtaszewski1

1Section of Molecular Physiology, Department of Nutrition, Exercise and Sports, August Krogh

Centre, University of Copenhagen, Denmark

2Diabetes Research Unit, Novo Nordisk A/S, Maaloev, Denmark

3Diabetes Research Center, Department of Endocrinology, Odense University Hospital, Odense,

Denmark

4Section of Biology, Department of Oral Function & Molecular Biology, School of Dentistry, Ohu

University, Koriyama, Japan

*Corresponding Author: Jørgen F.P. Wojtaszewski, PhD. Universitetsparken 13, DK2100

Copenhagen Ø, Denmark. Phone no: (+45) 28751625, email: [email protected]

Running title: Muscle fiber types and insulin signaling

Word count (abstract): 197

Word count (main text): 3979

References: 48

Number of tables+figures: 2+6

1

Diabetes Publish Ahead of Print, published online September 3, 2014 Diabetes Page 2 of 44

ABSTRACT

Skeletal muscle is a heterogeneous tissue composed of different fiber types. Studies suggest that insulinmediated glucose metabolism is different between muscle fiber types. We hypothesized that differences are due to fibertype specific expression/regulation of insulin signaling elements and/or metabolic enzymes. Pools of type I and II fibers were prepared from biopsies of the vastus lateralis muscles from lean, obese and type 2 diabetic subjects before and after a hyperinsulinemic euglycemic clamp. Type I fibers compared to type II fibers have higher levels of the insulin receptor, GLUT4, hexokinase II, glycogen synthase (GS), pyruvate dehydrogenase (PDHE1α) and a lower protein content of Akt2, TBC1D4 and TBC1D1. In type I fibers compared to type II fibers, the phosphorylationresponse to insulin was similar (TBC1D4, TBC1D1 and GS) or decreased (Akt and PDHE1α). Phosphorylationresponses to insulin adjusted for protein level were not different between fiber types. Independently of fiber type, insulin signaling was similar (TBC1D1, GS and

PDHE1α) or decreased (Akt and TBC1D4) in muscle from patients with type 2 diabetes compared to lean and obese subjects. We conclude that human type I muscle fibers compared to type II fibers have a higher glucose handling capacity but a similar sensitivity for phosphorregulation by insulin.

2

Page 3 of 44 Diabetes

Keywords

Skeletal muscle • Insulin sensitivity • Glucose disposal rate • Indirect calorimetric • Insulin signaling •

Myosin heavy chain composition • Glycogen • GLUT4 • Glycogen synthase • TBC1 domain family member

• Pyruvate dehydrogenase • Akt

Abbreviations

BMI Body mass index EDL Extensor digitorum longus GDR Glucose disposal rate GS Glycogen synthase GSK Glycogen synthase kinase HK Hexokinase HRP Horseradish peroxidase mTOR mammalian target of rapamycin mTORC mammalian target of rapamycin complex MHC Myosin heavy chain NDRG Nmyc downstreamregulated NOGM Nonoxidative glucose uptake PDC Pyruvate dehydrogenase complex PDHE1α Pyruvate dehydrogenaseE1 alpha subunit RT Room temperature T2D Type 2 diabetic TBC1 Tre2/USP6, BUB2, cdc16 TBC1D TBC1 domain family member

3

Diabetes Page 4 of 44

INTRODUCTION

Skeletal muscle is important for whole body insulinstimulated glucose disposal (1), and skeletal muscle insulin resistance is a common phenotype of obesity and type 2 diabetes (2). Skeletal muscle is a heterogeneous tissue composed of different fiber types, which can be divided according to myosin heavy chain (MHC) isoform expression. Studies in rodents show that insulinstimulated glucose uptake in the oxidative type I fiberdominant muscles is higher than in muscles with a high degree of glycolytic type II fibers (36). Whether this phenomenon is due to differences in locomotor activity of individual muscles or a direct consequence of the fibertype composition is largely unknown. In incubated rat muscle, insulininduced glucose uptake was higher (~100%) in type IIa (oxidative/glycolytic) compared to IIx and IIb (glycolytic) fibers (7;8), suggesting that insulinmediated glucose uptake is related to the oxidative capacity of the muscle fiber. In humans, a positive correlation between proportions of type I fibers in muscle and wholebody insulin sensitivity has been demonstrated (911). Furthermore, insulinstimulated glucose transport in human muscle strips was associated with the relative type I fiber content (12). Thus, it is likely that human type I fibers are more important than type II fibers for maintaining glucose homeostasis in response to insulin. Indeed, a decreased proportion of type I fibers has been found in various insulin resistant states such as the metabolic syndrome (9), obesity (13;14), type 2 diabetes in some

(10;13;14) but not all (12;15) studies and following bedrest (16) as well as in tetraplegic patients

(17) and subjects with an insulin receptor gene mutation (18).

Mechanisms for a fibertype dependent regulation of glucose uptake could involve altered abundance/regulation of insulin signaling elements and/or metabolic enzymes. In rats, insulin receptor content and Akt and GLUT4 protein abundance are higher in type I compared to type II fiber dominated muscles (4;5;1921). Furthermore, in rats, Akt phosphorylation under insulin stimulationare highest in type I compared to type II fiber dominant muscles (20). In humans,

4

Page 5 of 44 Diabetes

GLUT4 protein levels are higher in type I compared to type IIa and IIx muscle fibers (14;22).

Overall, these findings suggest that insulin signaling to and effect on glucose transport is highest in

type I fibers. Thus, a shift towards reduced type I and hence higher type II fiber content in obesity

and type 2 diabetes (10;13;14) could negatively influence muscle insulin action on glucose

metabolism. Insulin resistance in obesity and type 2 diabetes is characterized by a decreased ability

of insulin to induce signaling proposed to mediate GLUT4 translocation by i.e.

phosphorylation/activation of Akt (2325) and/or TBC1 domain family member (TBC1D) 4 (23;25).

Whether this relates to differences in the response to insulin between fiber types is unknown.

Intracellular glucose metabolism could also be different between muscle fiber types. Glucose

entering the muscle cell is initially phosphorylated by hexokinase (HK) and predominantly stored as

glycogen or oxidized in the mitochondria, through processes regulated by glycogen synthase (GS)

and the pyruvate dehydrogenase complex (PDC), respectively. HKII content is higher in human

soleus muscle (~70% type I fibers) compared to gastrocnemius and vastus lateralis muscle (~50%

type I fibers) (26). Also, the content of the PDC subunit PDHE1α is decreased in muscle of

proliferatoractivated receptor gammacoactivator1α knockout mice (27), concomitant with a

switch towards reduced type I fiber abundance (28). Furthermore, mitochondrial density is higher in

human type I compared to type II fibers (29). In contrast, no fibertype specific expression pattern

of GS has been shown (30). All together these observations suggest that glucose phosphorylation

and oxidation but not storage rate capacity are enhanced in type I compared to type II fibers.

Whether HKII and PDHE1α abundance as well as GS and PDHE1α regulation by insulin is

different between human muscle fiber types is unknown.

We investigated whether proteins involved in glucose metabolism were expressed and/or regulated

by insulin in a fiber type specific manner in human skeletal muscle. This was achieved by creating

pools of single fibers expressing either MHC I (type I) or II (type II). These fibers were dissected

5

Diabetes Page 6 of 44

from vastus lateralis muscle biopsies obtained from lean and obese normal glucose tolerant subjects as well as type 2 diabetic patients.

RESEARCH DESIGN AND METHODS

Subjects. 10 lean healthy, 11 obese nondiabetic and 11 obese type 2 diabetic (T2D) subjects were randomly chosen from two studies conducted at Odense University Hospital, Odense, Denmark.

One fraction (8 lean, 7 obese, 6 T2D) were from an already published study (31), while the remaining subjects were from an unpublished study, in which subjects were investigated with an identical experimental protocol as previously described (31). Both studies were approved by the regional ethics committee and carried out in accordance with the Declaration of Helsinki II. Subject medication is detailed in supplemental materials.

Experimental protocol. Detailed explanation of the in vivo study protocol has been published elsewhere (31). In short, all subjects were instructed to refrain from strenuous physical activity 48 h before the experimental day. After an overnight fast, subjects underwent a 2 h basal tracer equilibration period followed by a 4 h hyperinsulinemiceuglycemic clamp at an insulin (Actrapid,

Novo Nordisk, Denmark) infusion rate of 40 mUm2min1 combined with tracer glucose and indirect calorimetry. A primedconstant [33H]glucose infusion was used throughout the 6h study, and [33H]glucose was added to the glucose infusates to maintain plasma specific activity constant at baseline levels during the 4h clamp period as described in detail previously (32). Vastus lateralis muscle biopsies were obtained before and after the clamp under local anesthesia (1% lidocaine) using a modified Bergström needle with suction. Muscle biopsies were immediately frozen in liquid nitrogen and stored below 80⁰C.

Dissection of individual muscle fibers. Muscle fibers were prepared as previously described (33) but with minor modifications. 2060 mg of muscle tissue were freezedried for 48 h before

6

Page 7 of 44 Diabetes

dissection of individual muscle fibers in a climatecontrolled room (20⁰C, <35% humidity) using a

dissection microscope (in total n= 5384 fibers from 64 biopsies). The length of each fiber was

estimated under the microscope (1.5±0.4 mm, mean±SD) before being carefully placed in a PCR

tube and stored on dryice. On the day of dissection 5 µl of icecooled Laemmli sample buffer (125

mM TrisHCl, pH 6.8, 10% glycerol, 125 mM SDS, 200 mM DTT, 0.004% Bromophenol Blue)

was added to each tube. During method optimization addition of protease and phosphatase

inhibitors were found to be unnecessary for preservation of either protein content or protein

phosphorylation for this type of sample preparation (data not shown). After thorough mixing at 4⁰C,

each tube was inspected under a microscope to confirm that the fiber was properly dissolved (if not,

the tube was discarded). Each sample was then heated for 10 minutes at 70⁰C and stored at 80⁰C.

Preparation of pooled muscle fiber samples. A small fraction (1/5) of the solubilized fiber was

used for identification of MHC expression using Western Blotting and specific antibodies against

MHC I or II (see section on immunoblotting). Hybrid fibers (~5%) expressing more than one MHC

isoform were discarded. Pools of type I and II fibers from each biopsy were prepared (128 pools in

total). The average number of type I and II fibers per muscle biopsy included in each pool were 20

(range: 936) and 42 (range: 22147), respectively.

Estimation of protein content and test of purity. Protein content of the fiber specific samples was

estimated using 420% MiniPROTEAN TGX stainfree gels (BioRad, CA), which allowed for gel

protein imaging following UVactivation on a ChemiDoc MP Imaging System (BioRad, CA). The

intensity of visualized protein bands (from 37260 kDa) was compared to a standard curve from 3

different pools of human muscle homogenates with a known protein concentration (supplementary

figure 1). After gel imaging, the purity of each pooled sample was reevaluated using Western

7

Diabetes Page 8 of 44

Blotting and MHC I and II specific antibodies (see section on Immunoblotting). All fiber specific samples were diluted with Laemmli sample buffer to a protein concentration of 0.2 mg/ml.

Glycogen determination in muscle fiber pools. Glycogen content in the fiber specific pools was measured by dotblotting using a specific antibody against glycogen (34;35). Briefly, 150 ng of protein was spotted onto a PVDFmembrane. After airdrying, the membrane was reactivated in ethanol before blocking, incubation in primary and secondary antibody and visualization as described in the section on Immunoblotting. The intensity of each dot was compared to a standard curve (supplementary figure 2) from a muscle homogenate with an glycogen content pre determined biochemically as previously described (31) and expressed accordingly.

MHC determination. For MHC determination in muscle biopsies, lysates were prepared and protein content was measured as previously described (31). Muscle lysates were diluted 1:3 with

100% glycerol/Laemmli sample buffer (50/50) and run on 8% selfcast stain free gels, containing

0.5% 2,2,2Trichloroethanol (36). 3 µg of lysate protein was separated for ~16 h at 140 V as previously described (37). Protein bands were visualized by UVactivation of the stain free gel on a

ChemiDoc MP Imaging System (Biorad, CA) and quantified as stated below. Coomassie staining of the gel and the use of muscle homogenates provided similar results as stain free gel imaging and muscle lysates, respectively (data not shown).

Immunoblotting. For MHC determination of single muscle fibers and evaluation of total and phosphorylated levels of relevant proteins, equal amounts of sample volume (for MHC determination) or protein amount were separated using either precast (Biorad, CA) or selfcast 7.5% gels. On each gel, an internal control (muscle lysate) was loaded two times per gel in order to minimize assay variation. Muscle fiber pool values were divided by the average of the internal control sample from the corresponding gel. Furthermore, on one gel a standard curve of muscle

8

Page 9 of 44 Diabetes

homogenate was loaded to ensure that quantification of each protein probed for was within the

linear range. Following separation, proteins were transferred (semidry) from multiple gels to a

single PVDFmembrane which was incubated with blocking agent (0.05% Tween 20 and 2%

skimmed milk in TBS) for 45 minutes at room temperature (RT), followed by incubation in primary

antibody solution overnight at 4⁰C (for antibody details, see supplementary table 1). Membranes

were incubated with appropriate secondary antibodies (Jackson ImmunoResearch, PA) which were

conjugated to either horseradish peroxidase (HRP) or biotin for 1 h at RT. Membranes incubated

with biotinconjugated antibody were further treated with HRPconjugated streptavidin. Protein

bands were visualized using a ChemiDoc MP imaging system (BioRad, CA) and enhanced

chemiluminescence (SuperSignal West Femto, Pierce, IL). Band densitometry was performed using

Image Lab (version 4.0). Membranes were reprobed with an alternate antibody according to the

scheme given in supplementary table 2.

Statistical analyses. Subject characteristics and blood parameters were evaluated by a oneway

ANOVA. To compare fiber type, insulin and group effects, a threeway ANOVA with repeated

measures for fiber type and insulin was used. If no tripleinteraction was present, a twoway

ANOVA on the increment with insulin (insulinbasal values) was performed for fiber type and

group effects with repeated measures for fiber type. Maineffects of group and significant

interactions were evaluated by Tukey post hoc testing. Statistical analyses were performed in

SigmaPlot (version 12.5, Systat Software, IL; one and twoway ANOVA) and in SAS statistical

software (version 9.2, SAS Institute, NC; threeway ANOVA). Unless otherwise stated n equals

number of subjects as indicated in table I. Differences were considered significant at p<0.05.

RESULTS

Clinical and metabolic characteristics. BMI and fat mass were higher in the obese and T2D

groups compared to the lean group (table 1). Patients with type 2 diabetes compared to lean and

9

Diabetes Page 10 of 44

obese subjects had elevated HbA1c levels, increased fasting plasma glucose, insulin and triglyceride

(vs lean only) concentrations (table 2). During the hyperinsulinemiceuglycemic clamp the glucose disposal rate (GDR) was decreased in type 2 diabetic vs lean and obese subjects (table 2). The decrease in GDR resulted from both lower glucose oxidation rates and reduced nonoxidative glucose metabolism.

Fiber type composition. In muscle biopsies from lean and obese subjects MHC I, IIa and IIx constituted 45, 46 and 9% (totally 55% MHCII), respectively (Figure 1A). This fiber type composition is in accordance with previous observations using (immuno) histochemistry (911;13

15;26) and biochemically methods (18;22). In the T2D group MHC I, IIa and IIx constituted 35, 45 and 20% (totally 65% MHC II), respectively. In the T2D group compared to the lean and obese group, the relative number of type I muscle fibers was lower and the relative number of type IIx muscle fibers was higher. MHC IIa expression was similar between all three groups.

Insulin receptor, hexokinase II, GLUT4 and complex II. As represented in figure 1B, all fiber pools contained one MHC isoform only. Actin was used as reference protein and actin abundance was equal between fiber pools (supplementary figure 3). Higher protein levels of insulin receptorβ

(+16%), HKII (+470%), GLUT4 (+29%) and electron transport chain complex II (+35%) was found in type I vs II fibers (Figure 1CF). No differences between groups were observed except for a reduced (24%) insulin receptorβ level in the T2D compared to the lean and obese groups (Figure

1CF).

Akt, mTOR and NDRG1. Akt2 protein content was lower (27%) in type I vs II fibers (Figure 2C).

In the three groups, the average increases under insulin stimulation of pAktThr308 and pAktSer473 were 5.8 and 3.5 fold in type I fibers and 6.1 and 3.7 fold in type II fibers, respectively (Figure

2A+B). In lean and obese groups levels of insulinstimulated pAktThr308 were lower (25%) in type

10

Page 11 of 44 Diabetes

I vs II fibers. In the T2D group the insulinstimulated pAktThr308 and pAktSer473 were lower in both

fiber types compared to lean and obese groups. In response to insulin, phosphorylation of

AktSer473/Akt2 but not AktThr308/Akt2 was fiber type dependent, although the relative response to

insulin was similar between fiber types (supplementary figure 4A+B). In type I fibers, a higher

protein level of mammalian target of rapamycin (mTOR) (+20%) and its downstream target Nmyc

downstreamregulated gene (NDRG) 1 (+68%) compared to type II fibers was evident (Figure

3B+D). Insulin had no effect on pmTOR2481 but increased pNDRG1Thr346 only in type I fibers

from obese (+86%) and T2D (+100%) groups (Figure 3A+C). No fiber type differences were

evident when pNDRG1Thr346 was adjusted for NDRG1 protein abundance (supplementary figure

4C).

TBC1D1 and TBC1D4. TBC1D1 and TBC1D4 protein levels were 45% and 16% in type I vs II

fibers, respectively (Figure 4B+G). Irrespective of fiber type, insulin stimulation increased p

TBC1D1Thr596 (+36%) and pTBC1D4 at all sites investigated (Ser318 (+122%), Ser588 (+59%),

Thr642 (+103%) and Ser704 (+113%)) (Figure 4A+CF). Statistically significant main effects of fiber

type were evident for the level of phosphorylation of both TBC1D1 and TBC1D4. More

specifically pTBC1D1Thr596 (62%), pTBC1D4Ser318 (21%), pTBC1D4Ser588 (21%), p

TBC1D4Thr642 (24%) and pTBC1D4Ser704 (24%) were lower in type I compared to type II fibers.

No significant group differences in protein abundance or protein phosphorylation of TBC1D1 and

TBC1D4 were evident, although the response to insulin of pTBC1D4Ser588 tended (p=0.07) to be

group dependent.

Glycogen content, GSK3 and glycogen synthase. In the basal state, glycogen content was lower (

29%) in type I vs II fibers in the obese (p=0.09) and type 2 diabetic (p=0.09) group; Figure 5A).

Insulin induced no significant changes in glycogen content in either of the fiber types. The protein

levels of glycogen synthase kinase (GSK) 3β was 14% less in type I vs type II, whereas GS protein

11

Diabetes Page 12 of 44

was 53% higher in type I compared to type II fibers (Figure 5C+F). In all 3 groups and in both fiber types insulin induced a similar change in phosphorylation of GSK3βSer9 (+62%), GS2+2a (36%) and

GS3a+b (38%) (Figure 5B+D+E). Phosphorylation of GSK3βSer9 was lower (31%), whereas phosphorylation of GSsite2+2a and GSsite3a+b were respectively 68% and 51 % higher in type I vs II fibers. No significant differences were evident between individual groups in protein abundance and protein phosphorylation of GSK3β and GS.

Pyruvate dehydrogenase. PDHE1α protein content was 34% higher in type I vs II fibers (Figure

6C). Basal levels of PDHE1α site1 phosphorylation were similar between fiber types in all 3 groups (Figure 6A). After insulin the degree of phosphorylation was significantly lower in type II vs

I fibers in the obese and T2D groups only, indicating dephosphorylation by insulin in type II but not in type I fibers. In line, PDHE1α site2 phosphorylation was decreased by insulin, and this effect was dependent on fiber type towards a greater effect of insulin in type II vs I fibers (Figure

6B). Fiber type differences were not evident when pPDHsite1 and pPDHsite2 was adjusted for PDH

E1α content (supplementary figure 4D+E).

DISCUSSION

The current study is the first to evaluate changes in signaling events in response to insulin in fiber type specific pools from human muscle. Based on our findings we propose a model in which human type I fibers have a greater abundance of proteins to transport (+29% GLUT4), phosphorylate (+470% HKII) and oxidize (+35% ETC complex II and +34% PDH) glucose and to synthesize glycogen (+35% GS) compared to type II fibers. These observations are supported by significant positive correlations between the MHC I content in whole muscle lysates and insulin stimulated glucose disposal rate (r=0.53, p=0.002), glucose oxidation rate (r=0.52, p=0.003) and nonoxidative glucose metabolism (r=0.44, p=0.01) (supplementary figure 5). Interestingly, even

12

Page 13 of 44 Diabetes

though insulin receptor content was higher (+16%) in type I fibers, phosphorregulation of TBC1D1,

TBC1D4 and GS by insulin was similar between fiber types (all normalized to actin). The apparent

fibertype differences in insulinstimulated phosphorylation of Akt, NDRG1 and PDHE1α (when

related to actin) were eliminated when adjusted for Akt2, NDRG1 and PDHE1α protein abundance.

These findings suggest a similar sensitivity of type I and II muscle fibers for regulation by insulin of

the proteins investigated.

Insulinstimulated glucose disposal rate, glucose oxidation rates and nonoxidative glucose

metabolism were decreased in T2D compared to the lean and obese groups. This was accompanied

by lower insulin receptor content and altered response to insulin of pAkt308, pAkt473, p

TBC1D4Ser588 (p=0.07) and pNDRG1Thr346 in the muscle fiberspecific pools from the T2D

compared to the lean and obese groups. In cells, NDRG1 phosphorylation has been suggested to be

a readout of mTOR complex (mTORC) 2 activities (38). mTORC2 is also a widely accepted

upstream kinase for AktSer473 (39). Since the response to insulin of pNDRG1Thr346/NDRG1 was

similar between groups, these data could imply a specific dysfunctional link between mTORC2 and

pAktSer473 as the latter was decreased in response to insulin in both type I and II fibers in T2D

compared to the lean and obese groups. In rat muscle, abundance and insulinstimulated

phosphorylation of Akt were higher (+660% and +160180%, respectively) in soleus muscle

primarily containing type I fibers, as opposed to epitrochlearis and extensor digitorum longus (EDL)

muscles primarily consisting of type II fibers (20). In contrast, in human muscle, we report a

decreased Akt phosphorylation after insulin in type I vs II fibers, due to higher Akt2 levels in type

II fibers. Thus, findings in rat muscles with a diverse fibertype composition could simply result

from differences in locomotor activity, although speciesrelated differences cannot be excluded. For

instance, TBC1D4 and TBC1D1 protein abundance in the present study is only modestly lower (16

and 45%) in human type I vs II fibers. In mice, a high (>10fold) TBC1D4 and a low (<20%)

13

Diabetes Page 14 of 44

TBC1D1 content are evident in the type I fiber abundant soleus compared to the type II fiber abundant EDL muscle (40). In rats, no significant correlations between MHCisoform abundance in various muscles and either TBC1D1 or TBC1D4 protein content was found (21). These findings indicate that fibertype differences in TBC1D4 and TBC1D1 protein levels are highly dependent on the species investigated.

In the present study, no differences in the response to insulin were observed between fiber types in phosphorylation of TBC1D4 and TBC1D1. We previously reported a decreased response to insulin of pTBC1D4Ser318 and pTBC1D4Ser588 in skeletal muscle from obese type 2 diabetic subjects compared to weightmatched controls (23). In the current study, insulininduced (delta values

(insulin minus basal) pTBC1D4Ser588 was borderline (p=0.07) groupdependent. The average response to insulin was 62%, 96% and 19% in the lean, obese and T2D groups, respectively. It has been shown that exercise training normalizes defects in insulin action on TBC1D4 regulation in type 2 diabetic vs control subjects (23). Thus, in the present study, the lack of significant defects in

TBC1D4 regulation by insulin in the T2D group compared to control groups could be due to the physical fitness level of the groups studied. We found that pTBC1D1Thr596 was increased by insulin in agreement with another study (41) and that the relative increase was irrespective of fiber type and group. We conclude that the relative response to insulin of Akt, TBC1D4 and TBC1D1 is independent of fiber type, while the absolute amount of phosphorylated protein is lower in type I vs

II fibers. Whether a higher amount of phosphorylated protein is important for the regulation of glucose uptake is unknown. To investigate the impact of the present findings on glucose uptake in different human muscle fiber types, future studies need to examine the membranebound fraction of

GLUT4 in different fiber types or even measure single muscle fiber glucose transport as performed in rat muscle (7).

14

Page 15 of 44 Diabetes

Interestingly, Gaster et al. (14) previously reported that GLUT4 abundance was significantly lower

in type I fibers only, in muscle from type 2 diabetic patients compared to lean and obese controls.

This was not evident in the current study. However, we found a nonsignificantly lower GLUT4

content of the same magnitude (1020%) as previously reported (14) in both type I and II fibers

from the T2D compared to the lean and obese groups. Also, GLUT4 levels were generally higher in

type I vs II fibers. Thus, fewer type I fibers in the T2D compared to the lean and obese groups

possibly lowers the glucose uptake capacity in diabetic skeletal muscle. In support, HKII content

was higher in type I compared to type II fibers. The influence of HKII protein levels on glucose

uptake is controversial and has recently been estimated to control ~10% of human skeletal muscle

glucose metabolism during insulinstimulated conditions (42). In the current study, fiber type

specific HKII levels were not different between groups investigated. Thus, it is likely that decreased

HKII levels reported in muscles from T2D subjects (43) are at least partly influenced by a lower

number of type I fibers in T2D vs control subjects as also shown in the present study. Interestingly,

in contrast to HKII, HKI protein abundance was lower (19%) among the three groups in type I vs

II fibers (supplementary figure 6). This observation could indicate a different role of HK isoforms

in type I and II muscle fibers.

A close correlation between the insulinstimulated increase in nonoxidative glucose metabolism

and GS activity has been reported (44). In the present study, insulinstimulated nonoxidative

glucose metabolism was decreased in the T2D compared to the lean and obese groups as shown by

others (23;31;41;45). Thus, we investigated the fibertype specific regulation of GS by insulin. We

were unable to detect any differences in the response to insulin between fiber types, although the

absolute amount of phosphorylated GS was highest in type I fibers. Increased phosphorylation of

GS in type I fibers could be accounted for by a higher GS protein level in type I vs II fibers.

Previously, a similar GS content in type I, IIa and IIx fiber pools was reported in muscle from

15

Diabetes Page 16 of 44

young (23 yrs) subjects (30). Thus, the present findings of a higher GS content in type I vs II fibers in muscle from middleaged (~55 yrs) subjects, indicates an age dependent fiber type specific regulation of GS abundance. The functional consequence of a differentiated GS content between fiber types is unknown, since we were unable to detect any differences in basal and insulin stimulated glycogen content in both fiber types. This is likely due to the relatively small (<6%) increase in glycogen content during a clamp procedure (46). If glycogen levels were solely dependent on glycogen synthase, the activity of this enzyme would be expected to be lower in type I vs II fibers. However, our data cannot support this because the higher expression and phosphorylation of GS indicates that total GS activity is infact higher in type I vs II fibers. Thus, other factors than GS activity per se determines glycogen levels.

In a recent study, Nellemann et al. (47) did not find any changes in phosphorylation of PDHE1α in human skeletal muscle in response to insulin. Interestingly, in the present study, PDHE1α phosphorylation was decreased by insulin in type II fibers only. Thus, results by Nellemann et al. could have been influenced by a muscle fibertype dependent regulation not detected in their whole muscle biopsy preparation. An inverse relationship between PDHE1α phosphorylation and PDHa activity has been shown in human skeletal muscle during exercise (48). Thus, findings in the present study suggest an increased PDHa activity in response to insulin in type II fibers only.

Study limitations:

All fiber pools were prepared from vastus lateralis muscle, which expresses relatively small (<10%) amounts of type IIx fibers (26). No significant differences in the MHC IIx expression were observed between type II fiber pools among the three groups (supplementary figure 7). Thus, differences between type I and II fiber pools observed in the present study are likely not influenced by differences in protein abundance/regulation between type IIa and IIx fibers. No measure of

16

Page 17 of 44 Diabetes

physical activity was performed. It has been shown that traininginduced increases in GLUT4

content mainly occur in type I fibers (22). Thus, training status of the subjects in the present study

could potentially influence differences between muscle fibers and/or groups. All measures were

performed in muscle fibers from the vastus lateralis muscle. Whether fibertype specific differences

in protein expression can be extended to other muscles is unknown, but has been challenged by one

study (30), in which GLUT4 expression was higher in type I vs. IIa and IIx fibers from vastus

lateralis muscles but similar between fiber types in soleus and triceps brachii muscles. The present

study design did not allow exploration of this further. To evaluate the biological impact of fiber

specific signaling events further, the methods used in the present study could be combined with ex

vivo incubation of human muscle strips (12) and the recently described method of single fiber

glucose uptake measurements (7). Such design demands open surgical biopsies and was therefore

not applicable to the cohort of the present study.

In conclusion, based on protein level measures, the enzymatic capacities for glucose uptake,

phosphorylation and oxidation as well as for glycogen synthesis are higher in human type I

compared to type II muscle fibers. In response to insulin, most differences in phosphorylation

between fiber types were due to differences in protein levels. Thus, sensitivity for phosphor

regulation by insulin of these proteins is similar between fiber types. Even though insulininduced

glucose disposal rate was decreased in patients with type 2 diabetes compared to lean and obese

subjects, few group differences in the muscle fiber specific measurements were observed. However,

our observations favor the idea that fewer type I fibers and a higher number of type IIx fibers in

muscles from type 2 diabetic patients contributes to the reduced glucose disposal rate under insulin

stimulated conditions compared to lean and obese subjects.

17

Diabetes Page 18 of 44

ACKNOWLEDGMENTS

Author contributions: Conception and design of research: P.H.A., J.F.P.W. Performed in vivo experiments: A.J.T.P., B.F.V. Performed analysis: P.H.A., A.J.T.P., J.B.B., D.E.K., B.F.V.

Interpreted results: P.H.A., J.B.B., K.H., J.F.P.W. Drafted manuscript: P.H.A., J.F.P.W. Edited and revised manuscript: All. Approved final version: All. Jørgen F.P. Wojtaszewski is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Assistance/donations: Maximilian Kleinert (University of Copenhagen, Denmark) is acknowledged for sharing his knowhow on the mTOR/NDRG1 analyses. Also, we are grateful for the kind donation of material essential for this work by the following scientists: LJ Goodyear (Joslin

Diabetes Center and Harvard medical school, Boston, MA), OB Pedersen (University of

Copenhagen, Denmark), J Hastie and DG Hardie (University of Dundee, UK). The monoclonal antibodies against MHC I and II isoforms (A4.840 and A4.74) were developed by H.M. Blau and antibody directed against MHC IIx (6H1) was developed by C. Lucas. All MHC antibodies were obtained from the Developmental Studies Hybridoma Bank developed under the auspices of the

NICHD and maintained by The University of Iowa, Department of Biology, Iowa City, IA 52242.

Funding/financial support: This work was carried out as a part of the research programs "Physical activity and nutrition for improvement of health" funded by the University of Copenhagen (UCPH)

Excellence Program for Interdisciplinary Research; and the UNIK project: Food, Fitness & Pharma for Health and Disease (see www.foodfitnesspharma.ku.dk) supported by the Danish Ministry of

Science, Technology and Innovation. This study was funded by the Danish Council for Independent

Research Medical Sciences (FSS), the Novo Nordisk Foundation and a Clinical Research Grant from the European Foundation for the study of Diabetes (EFSD). Disclosure statement: P.H.A. is financed as an industrial PhD student by the Danish Agency for Science, Technology and

18

Page 19 of 44 Diabetes

Innovation and Novo Nordisk A/S and owns stocks in Novo Nordisk A/S. J.N. is an employee at

Novo Nordisk A/S and owns stocks in Novo Nordisk A/S. A.J.T.P., J.B.B., D.E.K., B.F.V., O.B.,

K.H., J.F.P.W. have nothing to disclose.

19

Diabetes Page 20 of 44

REFERENCES

1. DeFronzo,RA, Jacot,E, Jequier,E, Maeder,E, Wahren,J, Felber,JP: The effect of insulin on the disposal of intravenous glucose. Results from indirect calorimetry and hepatic and femoral venous catheterization. Diabetes 30:10001007, 1981

2. Dohm,GL, Tapscott,EB, Pories,WJ, Dabbs,DJ, Flickinger,EG, Meelheim,D, Fushiki,T, Atkinson,SM, Elton,CW, Caro,JF: An in vitro human muscle preparation suitable for metabolic studies. Decreased insulin stimulation of glucose transport in muscle from morbidly obese and diabetic subjects. J Clin Invest 82:486494, 1988

3. James,DE, Jenkins,AB, Kraegen,EW: Heterogeneity of insulin action in individual muscles in vivo: euglycemic clamp studies in rats. Am J Physiol 248:E567E574, 1985

4. Marette,A, Richardson,JM, Ramlal,T, Balon,TW, Vranic,M, Pessin,JE, Klip,A: Abundance, localization, and insulininduced translocation of glucose transporters in red and white muscle. Am J Physiol 263:C443C452, 1992

5. Bonen,A, Tan,MH, WatsonWright,WM: Insulin binding and glucose uptake differences in rodent skeletal muscles. Diabetes 30:702704, 1981

6. Ploug,T, Galbo,H, Vinten,J, Jorgensen,M, Richter,EA: Kinetics of glucose transport in rat muscle: effects of insulin and contractions. Am J Physiol 253:E12E20, 1987

7. Mackrell,JG, Cartee,GD: A novel method to measure glucose uptake and myosin heavy chain isoform expression of single fibers from rat skeletal muscle. Diabetes 61:9951003, 2012

8. Mackrell,JG, Arias,EB, Cartee,GD: Fiber typespecific differences in glucose uptake by single fibers from skeletal muscles of 9 and 25monthold rats. J Gerontol A Biol Sci Med Sci 67:12861294, 2012

9. Stuart,CA, McCurry,MP, Marino,A, South,MA, Howell,ME, Layne,AS, Ramsey,MW, Stone,MH: SlowTwitch Fiber Proportion in Skeletal Muscle Correlates with Insulin Responsiveness. J Clin Endocrinol Metab 2013

10. Oberbach,A, Bossenz,Y, Lehmann,S, Niebauer,J, Adams,V, Paschke,R, Schon,MR, Bluher,M, Punkt,K: Altered fiber distribution and fiberspecific glycolytic and oxidative enzyme activity in skeletal muscle of patients with type 2 diabetes. Diabetes Care 29:895900, 2006

11. Coen,PM, Dube,JJ, Amati,F, StefanovicRacic,M, Ferrell,RE, Toledo,FG, Goodpaster,BH: Insulin resistance is associated with higher intramyocellular triglycerides in type I but not type II myocytes concomitant with higher ceramide content. Diabetes 59:8088, 2010

12. Zierath,JR, He,L, Guma,A, Odegoard,WE, Klip,A, WallbergHenriksson,H: Insulin action on glucose transport and plasma membrane GLUT4 content in skeletal muscle from patients with NIDDM. Diabetologia 39:11801189, 1996

13. Marin,P, Andersson,B, Krotkiewski,M, Bjorntorp,P: Muscle fiber composition and capillary density in women and men with NIDDM. Diabetes Care 17:382386, 1994

20

Page 21 of 44 Diabetes

14. Gaster,M, Staehr,P, BeckNielsen,H, Schroder,HD, Handberg,A: GLUT4 is reduced in slow muscle fibers of type 2 diabetic patients: is insulin resistance in type 2 diabetes a slow, type 1 fiber disease? Diabetes 50:13241329, 2001

15. He,J, Watkins,S, Kelley,DE: Skeletal muscle lipid content and oxidative enzyme activity in relation to muscle fiber type in type 2 diabetes and obesity. Diabetes 50:817823, 2001

16. Gallagher,P, Trappe,S, Harber,M, Creer,A, Mazzetti,S, Trappe,T, Alkner,B, Tesch,P: Effects of 84days of bedrest and resistance training on single muscle fibre myosin heavy chain distribution in human vastus lateralis and soleus muscles. Acta Physiol Scand 185:6169, 2005

17. Grimby,G, Broberg,C, Krotkiewska,I, Krotkiewski,M: Muscle fiber composition in patients with traumatic cord lesion. Scand J Rehabil Med 8:3742, 1976

18. Kristensen,JM, Skov,V, Petersson,SJ, Ortenblad,N, Wojtaszewski,JF, BeckNielsen,H, Hojlund,K: A PGC1alpha and muscle fibre typerelated decrease in markers of mitochondrial oxidative metabolism in skeletal muscle of humans with inherited insulin resistance. Diabetologia 2014

19. James,DE, Strube,M, Mueckler,M: Molecular cloning and characterization of an insulin regulatable glucose transporter. Nature 338:8387, 1989

20. Song,XM, Ryder,JW, Kawano,Y, Chibalin,AV, Krook,A, Zierath,JR: Muscle fiber type specificity in insulin signal transduction. Am J Physiol 277:R1690R1696, 1999

21. Castorena,CM, Mackrell,JG, Bogan,JS, Kanzaki,M, Cartee,GD: Clustering of GLUT4, TUG, and RUVBL2 protein levels correlate with myosin heavy chain isoform pattern in skeletal muscles, but AS160 and TBC1D1 levels do not. J Appl Physiol 111:11061117, 2011

22. Daugaard,JR, Nielsen,JN, Kristiansen,S, Andersen,JL, Hargreaves,M, Richter,EA: Fiber type specific expression of GLUT4 in human skeletal muscle: influence of exercise training. Diabetes 49:10921095, 2000

23. Vind,BF, Pehmoller,C, Treebak,JT, Birk,JB, HeyMogensen,M, BeckNielsen,H, Zierath,JR, Wojtaszewski,JF, Hojlund,K: Impaired insulininduced sitespecific phosphorylation of TBC1 domain family, member 4 (TBC1D4) in skeletal muscle of type 2 diabetes patients is restored by endurance exercisetraining. Diabetologia 54:157167, 2011

24. Hojlund,K, Birk,JB, Klein,DK, Levin,K, Rose,AJ, Hansen,BF, Nielsen,JN, BeckNielsen,H, Wojtaszewski,JF: Dysregulation of glycogen synthase. J Clin Endocrinol Metab 94:4547 4556, 2009

25. Karlsson,HK, Zierath,JR, Kane,S, Krook,A, Lienhard,GE, WallbergHenriksson,H: Insulin stimulated phosphorylation of the Akt substrate AS160 is impaired in skeletal muscle of type 2 diabetic subjects. Diabetes 54:16921697, 2005

26. Jensen,TE, Leutert,R, Rasmussen,ST, Mouatt,JR, Christiansen,ML, Jensen,BR, Richter,EA: EMGnormalised kinase activation during exercise is higher in human gastrocnemius compared to soleus muscle. PLoS One 7:e31054, 2012

21

Diabetes Page 22 of 44

27. Kiilerich,K, Adser,H, Jakobsen,AH, Pedersen,PA, Hardie,DG, Wojtaszewski,JF, Pilegaard,H: PGC1alpha increases PDH content but does not change acute PDH regulation in mouse skeletal muscle. Am J Physiol Regul Integr Comp Physiol 299:R1350R1359, 2010

28. Handschin,C, Chin,S, Li,P, Liu,F, MaratosFlier,E, LeBrasseur,NK, Yan,Z, Spiegelman,BM: Skeletal muscle fibertype switching, exercise intolerance, and myopathy in PGC1alpha musclespecific knockout animals. J Biol Chem 282:3001430021, 2007

29. Howald,H, Hoppeler,H, Claassen,H, Mathieu,O, Straub,R: Influences of endurance training on the ultrastructural composition of the different muscle fiber types in humans. Pflugers Arch 403:369376, 1985

30. Daugaard,JR, Richter,EA: Muscle and fibre typespecific expression of glucose transporter 4, glycogen synthase and glycogen phosphorylase proteins in human skeletal muscle. Pflugers Arch 447:452456, 2004

31. Vind,BF, Birk,JB, Vienberg,SG, Andersen,B, BeckNielsen,H, Wojtaszewski,JF, Hojlund,K: Hyperglycaemia normalises insulin action on glucose metabolism but not the impaired activation of AKT and glycogen synthase in the skeletal muscle of patients with type 2 diabetes. Diabetologia 55:14351445, 2012

32. HotherNielsen,O, Henriksen,JE, Holst,JJ, BeckNielsen,H: Effects of insulin on glucose turnover rates in vivo: isotope dilution versus constant specific activity technique. Metabolism 45:8291, 1996

33. Murphy,RM: Enhanced technique to measure proteins in single segments of human skeletal muscle fibers: fibertype dependence of AMPKalpha1 and beta1. J Appl Physiol 110:820 825, 2011

34. Baba,O: [Production of monoclonal antibody that recognizes glycogen and its application for immunohistochemistry]. Kokubyo Gakkai Zasshi 60:264287, 1993

35. Prats,C, GomezCabello,A, Nordby,P, Andersen,JL, Helge,JW, Dela,F, Baba,O, Ploug,T: An optimized histochemical method to assess skeletal muscle glycogen and lipid stores reveals two metabolically distinct populations of type I muscle fibers. PLoS One 8:e77774, 2013

36. Ladner,CL, Yang,J, Turner,RJ, Edwards,RA: Visible fluorescent detection of proteins in polyacrylamide gels without staining. Anal Biochem 326:1320, 2004

37. Kohn,TA, Myburgh,KH: Electrophoretic separation of human skeletal muscle myosin heavy chain isoforms: the importance of reducing agents. J Physiol Sci 56:355360, 2006

38. GarciaMartinez,JM, Alessi,DR: mTOR complex 2 (mTORC2) controls hydrophobic motif phosphorylation and activation of serum and glucocorticoidinduced protein kinase 1 (SGK1). Biochem J 416:375385, 2008

39. Sarbassov,DD, Guertin,DA, Ali,SM, Sabatini,DM: Phosphorylation and regulation of Akt/PKB by the rictormTOR complex. Science 307:10981101, 2005

22

Page 23 of 44 Diabetes

40. Taylor,EB, An,D, Kramer,HF, Yu,H, Fujii,NL, Roeckl,KS, Bowles,N, Hirshman,MF, Xie,J, Feener,EP, Goodyear,LJ: Discovery of TBC1D1 as an insulin, AICAR, and contraction stimulated signaling nexus in mouse skeletal muscle. J Biol Chem 283:97879796, 2008

41. Vendelbo,MH, Clasen,BF, Treebak,JT, Moller,L, KrusenstjernaHafstrom,T, Madsen,M, Nielsen,TS, StodkildeJorgensen,H, Pedersen,SB, Jorgensen,JO, Goodyear,LJ, Wojtaszewski,JF, Moller,N, Jessen,N: Insulin resistance after a 72h fast is associated with impaired AS160 phosphorylation and accumulation of lipid and glycogen in human skeletal muscle. Am J Physiol Endocrinol Metab 302:E190E200, 2012

42. Ng,JM, Bertoldo,A, Minhas,DS, Helbling,NL, Coen,PM, Price,JC, Cobelli,C, Kelley,DE, Goodpaster,BH: Dynamic PET Imaging Reveals Heterogeneity of Skeletal Muscle Insulin Resistance. J Clin Endocrinol Metab 2013

43. Pendergrass,M, Koval,J, Vogt,C, YkiJarvinen,H, Iozzo,P, Pipek,R, Ardehali,H, Printz,R, Granner,D, DeFronzo,RA, Mandarino,LJ: Insulininduced hexokinase II expression is reduced in obesity and NIDDM. Diabetes 47:387394, 1998

44. Poulsen,P, Wojtaszewski,JF, Petersen,I, Christensen,K, Richter,EA, BeckNielsen,H, Vaag,A: Impact of genetic versus environmental factors on the control of muscle glycogen synthase activation in twins. Diabetes 54:12891296, 2005

45. Hojlund,K, Staehr,P, Hansen,BF, Green,KA, Hardie,DG, Richter,EA, BeckNielsen,H, Wojtaszewski,JF: Increased phosphorylation of skeletal muscle glycogen synthase at NH2 terminal sites during physiological hyperinsulinemia in type 2 diabetes. Diabetes 52:1393 1402, 2003

46. Wojtaszewski,JF, Hansen,BF, Gade, Kiens,B, Markuns,JF, Goodyear,LJ, Richter,EA: Insulin signaling and insulin sensitivity after exercise in human skeletal muscle. Diabetes 49:325331, 2000

47. Nellemann,B, Vendelbo,MH, Nielsen,TS, Bak,AM, Hogild,M, Pedersen,SB, Bienso,RS, Pilegaard,H, Moller,N, Jessen,N, Jorgensen,JO: Growth hormoneinduced insulin resistance in human subjects involves reduced pyruvate dehydrogenase activity. Acta Physiol (Oxf) 2013

48. Pilegaard,H, Birk,JB, Sacchetti,M, Mourtzakis,M, Hardie,DG, Stewart,G, Neufer,PD, Saltin,B, van,HG, Wojtaszewski,JF: PDHE1alpha dephosphorylation and activation in human skeletal muscle during exercise: effect of intralipid infusion. Diabetes 55:30203027, 2006

49. Jessen,N, An,D, Lihn,AS, Nygren,J, Hirshman,MF, Thorell,A, Goodyear,LJ: Exercise increases TBC1D1 phosphorylation in human skeletal muscle. Am J Physiol Endocrinol Metab 301:E164E171, 2011

23

Diabetes Page 24 of 44

Figure legends

Figure 1. Myosin heavy chain composition and muscle fibertype specific protein abundance in lean, obese and type 2 diabetic subjects. Myosin heavy chain composition measured in whole muscle biopsies from lean, obese and type 2 diabetic (T2D) subjects (A). The purity of each muscle fiber pool was checked by Western Blotting of myosin heavy chain (MHC) I and II (B).

Representative blots of type I (MHC I) and type II (MHC II) muscle fiber pools from three subjects are shown (B). In muscle fiber pools, the protein content of the insulin receptorβ (C), hexokinase II

(D), GLUT4 (E) and electron transport complex II (F) was evaluated by Western Blotting.

Quantified values of each protein (CF) are related to the content of actin protein and the basal type

I fiber value in the lean group is set to 100. Representative blots from three individuals are shown above each bar in A+CF. White bars represent type I fibers (A) or type I fiber pools (CF), black bars type IIa fibers (A) or type II fiber pools (CF) and gray bars IIx fibers (A). Data are means±SEM. Post hoc testing was only performed when an interaction was evident . AU, arbitrary units; MHC, myosin heavy chain. †p<0.05, †††p<0.001 vs type I muscle fibers; ‡p<0.05, ‡‡p<0.01 main effect of group compared with lean; (§)p=0.06, §p<0.05, §§p<0.01 main effect of group compared with obese.

Figure 2. Akt in muscle fiber pools from lean, obese and type 2 diabetic subjects. Muscle fibertype specific regulation of Akt phosphorylation on site Thr308 (A) and Ser473 (B) and protein content of

Akt2 (C) was evaluated by Western Blotting. Two bands are apparent for human Akt2 when insulin stimulated (both being Akt2 (31)). Quantified values of each protein are related to the content of actin protein and the basal type I fiber value in the lean group is set to 100. Representative blots are shown above bars for each protein probed for. White bars represent type I and black bars type II muscle fiber pools. Data are means±SEM. Post hoc testing was only performed when an interaction

24

Page 25 of 44 Diabetes

was evident. AU, arbitrary units. ***p<0.001 vs basal conditions; ††p<0.01 vs type I muscle fibers;

‡p<0.05, ‡‡p<0.01, ‡‡‡p<0.001 vs lean group; §p<0.05, §§p<0.01, §§§p<0.001 vs obese group.

Figure 3. Mammalian target of rapamycin (mTOR) and Nmyc downstreamregulated gene 1

(NDRG1) in muscle fiber pools from lean, obese and type 2 diabetic subjects. Muscle fibertype

specific regulation of mTOR phosphorylation on site Ser2481 (A) and NDRG1 phosphorylation on

site Thr346 (C) as well as protein content of mTOR (B) and NDRG1 (D) were evaluated by Western

Blotting. Two bands are apparent for both pNDRG1Thr346 and NDRG1 (both quantified).

Quantified values of each protein are related to the content of actin protein and the basal type I fiber

value in the lean group is set to 100. Representative blots are shown above bars for each protein

probed for. White bars represent type I and black bars type II muscle fiber pools. Data are

means±SEM. Post hoc testing was only performed when an interaction was evident. AU, arbitrary

units. *p<0.05, ***p<0.001 vs basal conditions; †††p<0.001 vs type I muscle fibers.

Figure 4. TBC1 domain family member 1 and 4 (TBC1D1 and TBC1D4) in muscle fiber pools from

lean, obese and type 2 diabetic subjects. Muscle fiber specific regulation of TBC1D1

phosphorylation at site Thr596 (A) and TBC1D4 phosphorylation on site Ser318 (C), Ser588 (D),

Thr642 (E) and Ser704 (F) as well as protein content of TBC1D1 (B) and TBC1D4 (G) was evaluated

by Western Blotting. Two bands are apparent for pTBC1D1Thr596 and TBC1D1 (long and

medium/short isoform of TBC1D1 protein (49)). Quantified values of each protein are related to the

content of actin protein and the basal type I fiber value in the lean group is set to 100.

Representative blots are shown above bars for each protein probed for. White bars represent type I

and black bars type II muscle fiber pools. Data are means±SEM. AU, arbitrary units.

Figure 5. Glycogen content, glycogen synthase kinase 3β (GSK3β), glycogen synthase (GS) in

muscle fiber pools from lean, obese and type 2 diabetic subjects. Muscle fiber specific glycogen

25

Diabetes Page 26 of 44

content measured by dotblotting (A). Muscle fiber specific phosphorylation of GSK3β on site Ser9

(B) and GS phosphorylation on site 2+2a (D) and 3a+b (E) as well as protein abundance of GSK3β

(C) and GS (F) was evaluated by Western Blotting. Quantified values of each protein (BF) are related to the content of actin protein and the basal type I fiber value in the lean group is set to 100.

Representative blots are shown above bars for each protein probed for. White bars represent type I and black bars type II muscle fiber pools. Data are means±SEM. Post hoc testing was only performed when an interaction was evident. AU, arbitrary units. (†)p=0.09, †††p<0.001 vs type I muscle fibers.

Figure 6. Pyruvate dehydrogenase (PDH)E1α in muscle fiber pools from lean, obese and type 2 diabetic subjects. Muscle fibertype specific regulation of PDHE1α phosphorylation on site 1 (A) and site 2 (B) as well as PDHE1α protein content (C) were evaluated by Western Blotting.

Phosphospecific PDHE1α antibodies were directed against the phosphorylation of sites Ser293 (site

1) and Ser300 (site 2) on the human PDHE1α isoform. Due to sample limitations, protein levels of

PDHE1α were evaluated in a subset of fiber pools, with the number of samples indicated in each bar. Quantified values of each protein are related to the content of actin protein and the basal type I fiber value in the lean group is set to 100. Representative blots are shown above bars for each protein probed for. White bars represent type I and black bars type II muscle fiber pools. Data are means±SEM. Post hoc testing was only performed when an interaction was evident. AU, arbitrary units. †††p<0.001 vs type I muscle fibers.

26

Page 27 of 44 Diabetes

Table 1 Subject characteristics at study entry

Lean Obese T2D

n (female/male) 10 (2/8) 11 (2/9) 11 (2/9)

Age (years) 54 ± 2 56 ± 2 55 ± 2

Height (m) 1.77 ± 0.03 1.77 ± 0.03 1.75 ± 0.03

BMI (kg/m2) 23.9 ± 0.4 30.5 ± 0.6*** 30.8 ± 1.0***

Fat free mass (kg) 59.3 ± 3.3 68.5 ± 3.5 63.3 ± 3.3

Fat mass (kg) 16.2 ± 0.6 28.1 ± 1.1*** 31.8 ± 2.7***

HbA1c (%) 5.4 ± 0.1 5.2 ± 0.1 6.8 ± 0.2***,†††

HbA1c (mmol/mol) 35 ± 1 34 ± 1 51 ± 3***,†††

Plasma cholesterol (mmol/l) 5.5 ± 0.3 5.6 ± 0.2 5.0 ± 0.2

Plasma LDLcholesterol (mmol/l) 3.6 ± 0.2 3.7 ± 0.2 2.9 ± 0.2†

Plasma HDLcholesterol (mmol/l) 1.6 ± 0.1 1.4 ± 0.1 1.0 ± 0.1**,†

Plasma triglycerides (mmol/l) 0.9 ± 0.1 1.4 ± 0.2 2.6 ± 0.6*

Diabetes duration (years) 4.0 ± 1.5

Values are means±SEM. *p<0.05, **p<0.01, ***p<0.001 vs lean group; †p<0.05, †††p<0.001 vs

obese group.

27

Diabetes Page 28 of 44

Table 2 Metabolic characteristics during hyperinsulinemiceuglycemic clamp

Lean Obese T2D

,††† Plasma glucosebasal (mmol/l) 5.6 ± 0.2 5.9 ± 0.1 9.0 ± 0.6***

Plasma glucoseclamp (mmol/l) 5.5 ± 0.1 5.3 ± 0.2 5.5 ± 0.1

,† Serum insulinbasal (pmol/l) 27 ± 3 44 ± 5 86 ± 15***

Serum insulinclamp (pmol/l) 408 ± 23 399 ± 12 422 ± 17

2 GDRbasal (mg/m /min) 76 ± 3 77 ± 2 80 ± 4

2 ,††† GDRclamp (mg/m /min) 388 ± 28 334 ± 20 161 ± 24***

2 Glucose oxidationbasal (mg/m /min) 50 ± 8 47 ± 4 46 ± 7

2 ,†† Glucose oxidationclamp (mg/m /min) 141 ± 14 126 ± 10 77 ± 7***

2 NOGMbasal (mg/m /min) 26 ± 8 30 ± 4 34 ± 9

2 ,†† NOGMclamp (mg/m /min) 247 ± 22 208 ± 23 84 ± 22***

2 Lipid oxidationbasal (mg/m /min) 28 ± 2 30 ± 2 34 ± 3

2 ,† Lipid oxidationclamp (mg/m /min) 1 ± 5 4 ± 3 19 ± 4**

RERbasal 0.82 ± 0.01 0.81 ± 0.01 0.80 ± 0.01

,† RERclamp 0.98 ± 0.03 0.95 ± 0.02 0.87 ± 0.02**

Plasma lactatebasal (mmol/l) 0.78 ± 0.09 0.80 ± 0.07 1.06 ± 0.11

Plasma lactateclamp (mmol/l) 1.36 ± 0.08 1.18 ± 0.08 0.93 ± 0.06***

Values are means±SEM. GDR, glucose disposal rate; NOGM, nonoxidative glucose metabolism;

RER, respiratory exchange ratio. **p<0.01, ***p<0.001 vs lean group; †p<0.05, ††p<0.01,

†††p<0.001 vs obese group.

28

Page 29 of 44 Diabetes

Total protein expression 202x207mm (300 x 300 DPI)

Diabetes Page 30 of 44

Akt phosphorylation and Akt 2 protein expression 200x376mm (300 x 300 DPI)

Page 31 of 44 Diabetes

Phosphorylation and Protein expression of mTor and NDRG1 138x96mm (300 x 300 DPI)

Diabetes Page 32 of 44

Protein expression and phosphorylation of TBC1D1 and TBC1D4 266x360mm (300 x 300 DPI)

Page 33 of 44 Diabetes

Phosphorylation and protein expression of GSK3 beta and Glycogen synthase (GS) 202x206mm (300 x 300 DPI)

Diabetes Page 34 of 44

Pyruvate dehydrogenase (PDH) expression and phosphorylation 201x380mm (300 x 300 DPI)

Page 35 of 44 Diabetes

Online supplemental materials

Subject medications. Patients with type 2 diabetes were treated either by diet alone (n=2) or diet in

combination with metformin (n=7), metformin and longacting insulin (n=1) or rosiglitazone and

sulfonylurea (n=1). Oral antidiabetics were withdrawn one week prior to the study together with

antihypertensive (n=5) and lipid lowering (n=7) drugs. In addition, one lean subject were treated with a

protonpump inhibitor, 2 obese subjects were treated with angiotensinconvertingenzyme (ACE) inhibitor

whereas 4 patients with type 2 diabetes were treated with ACEinhibitor (n=3) or AT2blocker (n=1). Long

acting insulin was withdrawn one day before the study. The patients with type 2 diabetes were GAD65

antibody negative and without any signs of diabetic retinopathy, nephropathy, neuropathy or macro vascular

complications. All woman included were postmenopausal. Lean and obese control subjects had no family

history of diabetes.

1

Diabetes Page 36 of 44

Supplementary table 1. Primary antibodies used for Western Blotting and DOTBlotting Antibody Manufacturer/donator Cat. # MHC I Developmental Studies Hybridoma Bank (Australia) A4.840 MHC II Developmental Studies Hybridoma Bank (Australia) A4.74 MHC IIx Developmental Studies Hybridoma Bank (Australia) 6H1 Actin Sigma Aldrich (MO, USA) A2066 InsulinRβ Santa Cruz Biotechnology (CA, USA) SC711 Hexokinase I Cell Signaling Technology (MA, USA) 2024 Hexokinase II Cell Signaling Technology (MA, USA) 2867 GLUT4 Thermo Scientific (Pierce, IL, USA) PA11065 Complex 2 Molecular Probes, Invitrogen (CA, USA) A11142 pAktThr308 Cell Signaling Technology (MA, USA) 9275 pAktSer473 Cell Signaling Technology (MA, USA) 9271 Akt2 Cell Signaling Technology, MA, USA 3063 pmTORSer2481 Cell Signaling Technology, MA, USA 2974 mTOR Cell Signaling Technology, MA, USA 2972 pNDRG1Thr346 Cell Signaling Technology, MA, USA 3217 NDRG1 Cell Signaling Technology, MA, USA 9485 pTBC1D1Thr596 Cell Signaling Technology (MA, USA) 6927 TBC1D1 James Hastie and Grahame Hardie, University of Dundee, UK pTBC1D4Ser318 Cell Signaling Technology (MA, USA) 8619 pTBC1D4Ser588 Cell Signaling Technology (MA, USA) 8730 pTBC1D4Thr642 Symansis (New Zealand) 3028P1 pTBC1D4Ser704 Laurie J Goodyear, Joslin Diabetes Center and Harvard medical school (Boston, MA, USA) TBC1D4 Upstate Biotechnology (Millipore) (MA, USA) 07741 Glycogen Otto Baba, Tokyo Medical and Dental University, Tokyo, Japan Ser9 pGSK3β Cell Signaling Technology, MA, USA 9331

GSK3β BD Transduction Laboratories, NJ, USA 610202 pGSsite2+2a Grahame Hardie, University of Dundee, UK pGSsite3a+b Grahame Hardie, University of Dundee, UK GS Oluf B. Pedersen, University of Copenhagen, Denmark pPDHsite1 Grahame Hardie, University of Dundee, UK pPDHsite2 Grahame Hardie, University of Dundee, UK List of primary antibodies used for Western Blotting analysis of skeletal muscle fiber type specific pools. Commercial available antibodies are listed with company name and catalog number while noncommercial antibodies were kindly donated by persons as stated in the table.

2

Page 37 of 44 Diabetes

Supplementary table 2. Protein analysis order for each Western Blotting performed MW (kDa) Primary antibody Western Blot #1 gel cut off 1. 2. 3. 4. 5. 6. 250 Membrane 1 pTBC1D4Thr642 †pTBC1D4Ser704 N/A N/A †TBC1D4 125 125 Membrane 2 pGSsite2+2a *HKII †pGSsite3a+b †InsulinRβ 75

75 Membrane 3 pAKTSer473 N/A †pAKTThr308 †Akt2 N/A †Complex II 50 50 Membrane 4 Actin N/A N/A †GLUT4 †pPDHsite1 †pPDHsite2 37

MW (kDa) Primary antibody Western Blot #2 gel cut off 1. 2. 3. 4. 5. 6. 7. Membrane 1 pmTORSer2481 N/A †mTOR 250

250 Membrane 2 pTBC1D1Thr596 N/A †TBC1D1 N/A N/A †pTBC1D4Ser588 †pTBC1D4Ser318 125 125 Membrane 3 N/A N/A †GS 75 50 Membrane 5 pNDRG1Thr346 *Actin †NDRG1 †GSK3β †pGSK3βSer9 37 Overview of each Western Blotting analysis performed on muscle fiber specific pools from lean, obese and type 2 diabetic subjects. Two runs of Western Blotting (Top: Western blot #1 and bottom: Western blot #2) were performed. Each gel was cut into 45 strips where after proteins from corresponding gel strips were semidry transferred to a single PVDFmembrane, blocked and probed with primary antibodies as listed. On each membrane, 37 different antibodies were used with either a sodiumazide treatment or a stripping procedure in between. The use of 0.02% sodiumazide in the primary antibody solution irreversible inhibits the enzyme activity of horseradish peroxidase already present on the membrane. This procedure allowed for reprobing of the membrane with an antibody recognizing a protein with a different molecular weight than the previously detected antibody. The stripping procedure was performed by incubating the membrane for 1 h at 58⁰C in stripping buffer (63 mM TrisHCl (pH 6.7), 2% SDS, 0.8% β mercaptoethanol). Following each stripping procedure, membranes were incubated in appropriate secondary antibody in order to verify, that the primary antibody was lost during stripping. If not, membranes were stripped again. Use of the sodiumazide procedure and the stripping procedure is marked with an asterisk (*) and a dagger (†) symbol, respectively, in front of the reprobed antibody. N/A, not applicable due to unsuccessful reprobing of the membrane. 3

Diabetes Page 38 of 44

Supplementary figure 1. In order to quantify the protein content of individual muscle fiber pools Mini Protean TGX Stainfree gels with an acrylamide gradient of 420% was used. 3 µl of pooled muscle fiber sample was loaded and compared against a standard curve. Individual gels were compared using the same internal gel standard sample (termed Std. in (A)). The standard curve consisted of data obtained from three different pools of human muscle homogenate samples. Each homogenate sample was loaded in triplicates in the range from 0.252 µg of protein. Pooled muscle fiber samples were expected to be and in fact were within this protein range. An example of a stainfree image from one of the standard homogenate samples, loaded in triplicates is shown (A). Each protein lane from the stainfree image was quantified from ~30250 kDa, due to a higher variation in the bands appearing between type I and II muscle fiber pools outside this range (data not shown). The averaged variation coefficient of each triplicate measure was 2.9% (range: 0.5 5.5%). In (B) the xaxis states the amount of muscle homogenate protein loaded on the gel, while the yaxis states the quantified values of the stain free image in arbitrary units (AU). The value of each muscle homogenate is shown as well as the standard curve from which signal intensity from the muscle fiber pools were compared to. The coefficient of determination of the standard curve was R2=1.00.

4

Page 39 of 44 Diabetes

Supplementary figure 2. In order to quantify the glycogen content of individual muscle fiber pools, 4 standard curves (50400 ng of protein) from 4 different muscle homogenate samples with a known (biochemical determined) glycogen concentration was spotted onto the same PVDFmembrane as the pooled fiber samples. The xaxis states how much glycogen was spotted. The yaxis states the quantified values of the visualized dotblot in arbitrary units (AU). Each single value of the different homogenate samples is shown as well as the fitted linear curve (R2=0.90). All muscle fiber pools were compared against this standard curve in order to estimate the glycogen content.

5

Diabetes Page 40 of 44

Supplementary figure 3. Actin content in muscle fiber pools from lean, obese and type 2 diabetic subjects. Muscle fiber specific expression of actin was evaluated in the two runs of Western Blotting. No significant differences were observed between muscle fibers, clamp conditions and between groups in western blot #1 (A) and #2 (B). Quantified values are raw data with the basal type I fiber value in the lean group being 100. A representative blot is shown for each protein probed for. White bars represent type I fibers and black bars type II muscle fiber pools. Primary antibody used is stated in supplementary table 1. Data are means±SEM. AU, arbitrary units.

6

Page 41 of 44 Diabetes

Supplementary figure 4. Phosphorylation of Akt on sites Thr308 (A) and Ser473 (B) related to the total protein expression of Akt2 as well as phosphorylation of NDRG1 on site Thr346 related to the total content of NDRG1 (C). Phosphorylation of PDHE1α on site 1 (Ser293) (D) and site 2 (Ser300) (E) was related to PDH E1α protein expression. Since PDHE1α expression was determined in a subset of samples the total number of samples is indicated in each bar (D+E). The basal type I fiber value in the lean group is set at 100. White bars represent type I fibers and black bars type II muscle fiber pools. Data are means±SEM. AU, arbitrary units. ***p<0.001 vs basal conditions.

7

Diabetes Page 42 of 44

Supplementary figure 5. Correlation between the MHC 1 content in whole muscle lysate preparation and the glucose disposal rate (A; r=0.53, p=0.002), net glucose oxidation rates (B; r=0.52, p=0.003) and non oxidative glucose metabolism (C; r=0.44, p=0.01) during insulin stimulated conditions. Circles represent lean controls, squares represent obese controls and triangles represent type 2 diabetic subjects. A Pearson productmoment correlation was performed for all values combined using SigmaPlot (version 12.5, Systat Software, IL).

8

Page 43 of 44 Diabetes

Supplementary figure 6. Hexokinase I protein expression was evaluated in a subgroup of type I and II muscle fiber specific pools from lean, obese and type 2 diabetic subjects. The number of samples is indicated in each bar. Quantified values are related to actin with the basal value in the lean group being 100. White bars represent type I fibers and black bars type II muscle fiber pools. Data are means±SEM. AU, arbitrary units.

9

Diabetes Page 44 of 44

Supplementary figure 7. MHC IIx protein expression in type II muscle fiber specific pools from lean, obese and type 2 diabetic subjects. Quantified values are related to actin with the basal value in the lean group being 100. No significant differences in the MHC IIx expression between type II muscle fiber pools were observed. White bars represent basal and black bars insulinstimulated conditions. Primary antibody used is stated in supplementary table 1. Data are means±SEM. AU, arbitrary units.

10