Insulin Resistance: Pathophysiology, Molecular Mechanisms, and Genetic Insights

Type 2 diabetes mellitus (T2DM) is a chronic disturbance of glucose metabolism without the absolute insulin deficiency that is typical for type 1 diabetes. Rather, T2DM is characterized by a reduced efficacy of insulin action in different peripheral tissues (insulin resistance) as well as a disturbance in beta-cell function. These two important pathophysiologic characteristics in T2DM result in an imbalance of insulin availability and insulin demand. The clinical manifestation of the disease occurs mostly in the fourth to fifth decade of life, although alarming recent data show an increase in obesity and T2DM even in adolescents.

GENETIC FACTORS

T2DM is a polygenetic disease with heterogeneous phenotypes and different gene-environment interactions. A high genetic predisposition for T2DM has been shown in population studies (e.g., the Pima Indians) and in family studies. First-degree relatives of patients with T2DM have a significantly higher risk for T2DM than people without a hereditary or genetic risk. Twin studies revealed a much higher diabetes concordance in homozygous twins compared to heterozygous twins. Although the existence of these genetic factors has been known for a considerable time, it was difficult to identify specific T2DM genes until recently, when genome-wide analyses and the human genome project led to progress in this field.

The greatest success in T2DM genetics arose from the development and use of high-density single-nucleotide polymorphism (SNP) arrays in large case-control cohorts. Most of the gene variants could be confirmed in many ethnicities, whereas others, probably because of divergent risk allele frequencies, may have higher relevance for certain ethnic groups.

Recent studies also provided evidence that SNPs associated with diabetes risk act in an additive manner to increase the diabetes risk. Although significantly contributing to the T2DM risk, these gene-gene interactions do not yet allow a substantially better disease prediction than clinical risk factors (e.g., body mass index [BMI], age, sex, family history of diabetes, fasting glucose level, blood pressure [BP], and plasma triglycerides), nor do they explain the heritability of T2DM.

Beyond that, some of the diabetes-relevant genes are susceptible to persistent and partly inheritable epigenetic regulation—that is, DNA methylation and histone modifications—so gene-environment interactions are additional important factors that contribute to the complexity of T2DM genetics.

Genome-wide association studies identified a series of T2DM risk loci that are mostly associated with impaired pancreatic beta-cell function.

Although the underlying mechanisms by which common genetic variations within these loci affect beta-cell function are not completely understood, risk variants may alter glucose-stimulated insulin secretion, proinsulin conversion, and incretin secretion or incretin action. Table 2.1 summarizes the most important diabetes genes and their functional roles.

Table 2.1

Effects of Single-Nucleotide Polymorphisms (SNPs) in Confirmed T2DM Genes on Prediabetic Traits

Data from Staiger H, Machicao F, Fritsche A, Häring HU. Pathomechanisms of type 2 diabetes genes. Endocr Rev. 2009;30:557.

Gene Location on Chromosome Tissue Expression (Reproductive System Not Included) Variants (Approximate Risk Allele Frequency in Europeans) Risk Allele Effects
ADAMTS9 3 Skeletal muscle, breast, thymus, kidney, prostate, pancreas, heart, lung, spinal cord, brain, all fetal tissues rs4607103 (80%) Unknown
CAPN10 2 Thymus, colon, bladder, brain, spleen, prostate, skeletal muscle, pancreas, heart, lymph node, lung, kidney rs3792267 (70%), rs3842570 (40%), rs5030952 (90%) Glucose-stimulated insulin secretion ↓︎; proinsulin conversion ↓︎; whole-body insulin sensitivity ↓︎
CDC123\CAMK1D 10 Bone marrow, smooth muscle, kidney, prostate, colon, bladder, spleen, lung, lymph node, skin, breast, brain, liver, thymus and skin, retina, spleen, skeletal muscle, lung rs12779790 (20%) Insulin secretion ↓︎
CDKAL1 6 Bone marrow, breast, liver, spleen, prostate, retina, brain, lung, kidney, thymus, pancreas, skeletal muscle rs7754840 (30%) Glucose-stimulated insulin secretion ↓︎; proinsulin conversion ↓︎
CDKN2A/CDKN2B 9 Ubiquitous; bladder, colon, lung, spleen, skin, liver, breast, skeletal muscle, prostate, kidney, brain, pancreas, adipose tissue rs10811661 (80%) Glucose-stimulated insulin secretion ↓︎
ENPP1 6 Thyroid gland, kidney, skeletal muscle, breast, liver, skin, thymus, salivary gland, brain capillaries rs1044498/K121Q (10%) Whole-body insulin sensitivity ↓︎; insulin secretion ↓︎
FTO 16 Brain, pancreas, skeletal muscle, prostate, retina, heart, skin, breast, lung, kidney, liver, thymus, fetal brain, fetal kidney, fetal liver rs8050136 (40%), rs9939609 (40%) Overall fat mass ↑︎; energy intake ↑︎; cerebrocortical insulin sensitivity ↓︎
HHEX 10 Thyroid gland, brain, lymph node, spleen, liver, lung, kidney, breast, pancreas, thymus, skin, prostate, fetal pancreas rs7923837 (60%) Glucose-stimulated insulin secretion ↓︎
HNF18 17 Colon, kidney, liver, thymus, retina, pancreas, prostate, lung rs757210 (40%) Unknown
IGF2BP2 3 Smooth muscle, colon, lung, retina, skeletal muscle, skin, kidney, thymus, fetal liver, fetal brain, pancreas rs4402960 (30%) Glucose-stimulated insulin secretion ↓︎
JAZF1 7 Lymph node, retina, pancreas, thymus, brain, skin, liver, skeletal muscle, lung, spleen, prostate rs864745 (50%) Insulin secretion ↓︎
KCNJ11 11 Pancreas, heart, pituitary gland, skeletal muscle, brain, smooth muscle rs5219/E23K (50%) Insulin secretion ↓︎; glucose dependent; suppression of glucagon secretion ↓︎
KCNQ1 11 Thyroid gland, bone marrow, prostate, heart, pancreas, lung, thymus, skin, liver, kidney rs2237892 (90%), rs151290 (80%) Insulin secretion ↓︎; incretin secretion ↓︎
MTNR1B 11 Retina, brain, pancreas rs10830963 (30%), rs10830962 (40%), rs4753426 (50%) Glucose-stimulated insulin secretion ↓︎
NOTCH2 1 Lung, skin, thyroid gland, skeletal muscle, smooth muscle, kidney, bladder, lymph node, breast, colon, prostate, spleen, brain, thymus, heart, liver, pancreas rs10923931 (10%) Unknown
PPARG 3 Adipose tissue, colon, lung, kidney, breast, spleen, skin, prostate, bone marrow, brain, skeletal muscle, liver rs1801282/P12A (80%) Whole-body insulin sensitivity ↓︎; adipose tissue insulin sensitivity ↓︎; insulin clearance ↓︎
SLC30A8 8 Pancreas, kidney, lung, breast, amygdala rs13266634/R325W (70%) Glucose-stimulated insulin secretion ↓︎; proinsulin conversion ↓︎
TCF7L2 10 Brain, lung, bone marrow, thyroid gland, colon, pancreas, skin, breast, kidney, liver, thymus, prostate rs7903146 (30%), rs12255372 (30%), rs7901695 (30%) Incretin-stimulated insulin secretion ↓︎; proinsulin conversion ↓︎; whole-body insulin sensitivity ↓︎; hepatic insulin sensitivity ↓︎
THADA 2 Ubiquitous rs7578597/T1187A (90%) Unknown
TSPAN8/LGR5 12 Spinal cord, colon, skeletal muscle, prostate, liver, lung, pancreas, kidney, skeletal muscle, skin, brain, spinal cord rs7961581 (30%) Insulin secretion ↓︎
WFS1 4 Ubiquitous rs10010131 (60%) Incretin-stimulated insulin secretion ↓︎

It has further become evident in recent studies that genetic variants in several diabetes risk genes may predict the treatment outcome of glucose-lowering drugs. Response to thiazolidinedione therapy has been associated with peroxisome proliferator–activated receptor gamma variations in some, but not all, studies. The genetic variants of the transcription factor 7-like 2 (TCF7L2, a transcription factor involved in the Wnt-signaling pathway and the most important genetic marker associated with T2DM) have been reported to influence disease severity and therapeutic control, including lifestyle intervention, and the response to sulfonylureas and possibly incretin-based therapies.

INSULIN RESISTANCE

T2DM, according to our present understanding, is a multifactorial disease characterized by insulin resistance of various degrees in different organs. Insulin resistance is in most patients further accompanied by central obesity, arterial hypertension, dyslipidemia, and other risk factors for cardiovascular disease. The joint presence of these risk factors with or without manifest T2DM is summarized by the term “metabolic syndrome.” The metabolic syndrome is a multifactorial metabolic disorder with a twofold to fourfold increased risk for cardiovascular disease (see Chapter 4 ).

The hormone insulin has a number of cellular effects and regulates not only glucose metabolism but also lipid and protein metabolism, as well as DNA synthesis and lipolysis ( Fig. 2.1 ). Any defect of these different cellular effects of insulin action can be seen as insulin resistance. In experimental medicine, the gold standard for measuring and quantifying insulin resistance is the euglycemic glucose clamp technique. This technique is too complicated and time and personnel consuming for everyday clinical practice; therefore a number of simpler tests for determining insulin resistance were developed. These are basically based on the assumption that a curvilinear relationship between insulin sensitivity and insulin secretion exists. In healthy patients it is possible to calculate the insulin sensitivity from the fasting plasma glucose concentration with a special formula for a hyperbolic relationship. However, this formula is not applicable for patients with a disturbance of glucose tolerance and diabetes because they show a disturbance in insulin secretion of varying degrees in addition to being insulin resistant. The presently available simple tests to determine insulin resistance in patients with diabetes are based on the measurements of the fasting plasma glucose and insulin concentrations (homeostatic model assessment [HOMA]) or on the completion of an oral glucose tolerance test (OGTT) with measurements of plasma glucose and insulin concentrations (e.g., HOMA-IR [HOMA model for insulin resistance], insulin sensitivity index [ISI][0,120], Matsuda index, and the Stumvoll index). Whereas the glucose clamp technique is a reliable method for the quantification of insulin resistance, the previously mentioned simple tests do not allow an exact quantification for a single individual. Therefore the determination of insulin resistance with these tests in an individual clinical setting is feasible only in special situations. Frequent sources of error include, for example, the incorrect performance of the OGTT that will eventually lead to wrong conclusions in determining insulin resistance. In everyday clinical practice, insulin resistance can be more easily detected with symptoms such as central obesity or other factors of the metabolic syndrome. Therapeutic decisions are mainly based on these clinically visible characteristics and will lead to recommendations of lifestyle changes, body weight reduction, and pharmacologic interventions with oral glucose-lowering drugs such as metformin. It should be mentioned that insulin resistance may vary considerably depending on the patient’s level of physical fitness and activity, body weight, and overall health (e.g., acute and chronic infections, tumors). Insulin resistance is a common and important risk factor for the development of T2DM and cardiovascular disease. However, insulin resistance does not always lead to diabetes even though obesity is the most important risk factor. Only patients with a disturbance in insulin secretion or other risk factors will develop diabetes.

FIG. 2.1

Insulin receptor ( IR )–mediated effects.

The binding of a ligand to its receptor triggers the activation of signaling pathways through effector proteins that transduce signals to several intracellular second-messenger systems, which eventually lead to biologic actions. The figure shows the IR with three different isoforms (IRR, HIR-A, and HIR-B) as well as the structurally and functionally similar receptor for insulin-like growth factor ( IGF-1 ). The biologic actions triggered by ligand binding of insulin are depicted in a schematic manner.

Insulin Signaling and Cellular Mechanisms of Insulin Resistance

Insulin effects are transmitted by insulin binding to a specific transmembrane insulin receptor. The receptor belongs to the family of tyrosine kinase receptors, like the receptors for many growth factors. The active receptor is a dimer of two combined subunits. Insulin effects in the intact organism are mediated almost exclusively through the insulin receptor but can also be mediated by hybrid receptors that are formed by one subunit of the insulin receptor and another subunit of the receptor for insulin-like growth factor (IGF-1). Insulin binds with high affinity to its own receptor and with a 100 to 150 times lower affinity to the IGF-1 receptor. Therefore insulin binding to the IGF-1 receptor does not play a notable role at physiologic insulin plasma concentrations compared with IGF-1 effects at its own receptor. The affinity toward insulin-IGF-1 hybrid receptors lies between that for the insulin receptor and that for the IGF-1 receptor. The binding of insulin to its receptor leads to a cascade of cellular signals that are mostly phosphorylation and dephosphorylation events. The docking proteins IRS-1 to IRS-4 (insulin receptor substrates) have been detected as primary intracellular substrates for postreceptor signaling. These transmit the insulin signal downstream into different cellular compartments after phosphorylation by the activated insulin receptor. There are two distinctly different pathways in the intracellular insulin signal transmission. One pathway conveys the metabolic effects of insulin via the signaling molecules AKT/protein kinase B (PKB), and the other pathway transmits the mitogenic effects of insulin via the signaling proteins Ras/Raf/MAP kinase ( Fig. 2.2 ). Insulin resistance can, therefore, lead to a reduction of metabolic and mitogenic effects. Because redundancies and compensation mechanisms are present throughout the entire system of the intracellular signal transduction of the insulin signal, a disturbance of a single transmission element does not necessarily result in insulin resistance. Depending on the defects of the insulin signal transduction, metabolic and mitogenic effects of insulin may be affected to varying degrees.

FIG. 2.2

Insulin signaling: modulation and target cell-stroma interaction.

Critical nodes form an important part of the signaling network that functions downstream of the insulin receptor ( IR ) and the insulin-like growth factor 1 ( IGF-1 ) receptor ( IGF-1R ). The important metabolic and mitogenic pathways are shown. Three important nodes in the insulin pathway are the IR and the IR substrates ( IRS ) 1 to 4 (node 1), the phosphatidylinositol 3-kinase ( PI3K ) with its several regulatory and catalytic subunits (node 2), and the three AKT/protein kinase B (PKB) isoforms (node 3). Downstream or intermediate effectors, as well as modulators, of these critical nodes include atypical protein kinase C ( aPKC ), AKT substrate of 160 kDa ( AS160 ), Cas-Br-M (murine) ecotropic retroviral transforming sequence homologue ( Cbl ), Cbl-associated protein ( CAP ), cell-division cycle 42 ( CDC42 ), extracellular signal-regulated kinase 1 and 2 ( ERK1 and ERK2 ), forkhead box O1 ( FOXO1 ), glycogen synthase kinase 3 ( GSK3 ), Janus kinase ( JAK ), c-Jun- N -terminal kinase ( JNK ), mammalian target of rapamycin ( mTOR ), p90 ribosomal protein S6 kinase (p90RSK), phosphoinositide-dependent kinase 1 and 2 ( PDK1, 2 ), phosphatase and tensin homologue ( PTEN ), protein tyrosine phosphatase-1B ( PTP1B ), Ras, Rac, Src-homology-2-containing protein ( Shc ), suppressor of cytokine signaling ( SOCS ), signal transducer and activator of transcription ( STAT ), and Ras homologue gene family, member Q (ARHQ; also called TC10). IL , Interleukin; TNF α , tumor necrosis factor α; TNFR , TNF-α receptor.

Modified from Taniguchi CM, Emanuelli B, Kahn CR. Critical nodes in signalling pathways: insights into insulin action. Nat Rev Mol Cell Biol. 2006;7:85–95.

Insulin Receptor, Insulin Receptor Substrates, and PKB/AKT Proteins

Numerous investigations have been carried out to investigate possible mutations in the gene for the insulin receptor in T2DM. Only very few mutations have been found that are associated with the development of insulin resistance or T2DM. Furthermore, most studies have not shown a significant reduction in insulin receptor molecules in peripheral target tissues and organs for insulin action. Therefore quantitative changes in insulin receptor expression and insulin receptor mutations are not responsible for the development of insulin resistance in T2DM. It is interesting to note that a reduction in insulin receptor autophosphorylation was detected in vitro in tissues from patients with T2DM in numerous former investigations. It is hypothesized that the reduced autophosphorylation of the insulin receptor is responsible for disturbed insulin signal transduction and consequently the development of insulin resistance. The reduction in autophosphorylation and autoactivation of the insulin receptor is partially caused by modifications in the receptor molecule by an increased phosphorylation of serine residues. The changes in insulin receptor activity are most likely secondary phenomena resulting from the metabolic changes in T2DM (e.g., hyperglycemia, dyslipidemia). Studies demonstrating normalization of the insulin receptor activity after lifestyle interventions support this hypothesis. Only in rare patients with severe insulin resistance syndromes have insulin receptor mutations been detected that are associated with a reduced binding affinity of insulin to the insulin receptor or to a diminished autophosphorylation and autoactivation of the insulin receptor. These severe insulin resistance syndromes, also referred to as type A insulin resistance , most often lead to glucose metabolism disorders during adolescence and are often associated with acanthosis nigricans and hyperandrogenism in females. Other very rare insulin receptor mutations involving a complete loss of function lead to severe diseases such as leprechaunism.

Functional studies on the activation of the IRSs and the phosphatidylinositol 3-kinase (PI 3-kinase) that binds to the IRS were performed predominantly in muscle cells and adipocytes of patients with T2DM. These in vitro studies revealed reduced activation of IRS-1 and IRS-2 as well as reduced PI 3-kinase/PKB activity in T2DM. Defects in the insulin signaling cascade are therefore already present in the first steps of the signal transmission in insulin resistance and T2DM. Apart from these findings, genetic polymorphisms in the genes for the IRS proteins and the PI 3-kinase/PKB/AKT complex were found in T2DM—for example, Gly972Arg for IRS-1 and Met326Iso for PI 3-kinase. The incidence and the functional relevance of these polymorphisms are very heterogeneous in different populations. These studies suggest that the diminished activation of IRS-1, IRS-2, and PI 3-kinase/AKT in muscle cells, hepatocytes, and adipocytes may be secondary to regulatory signal changes in metabolic disturbances. It is interesting to note that a disturbance of the metabolic signal pathway via IRS/PI 3-kinase/AKT is present in insulin resistance in T2DM, whereas the mitogenic pathway of the insulin signal via MAP kinase is not affected. In summary, in insulin resistance, a reduced cellular action of insulin is found concerning the metabolic but not the mitogenic effects of insulin.

GLUCOSE TRANSPORT

The activation of the insulin signal transduction cascade leads to glucose transport into the cell. The insulin effect on the glucose transport system is mediated by a translocation of glucose transporters from the intracellular pools to the plasma membrane on the one hand and by the activation of the transporters in the plasma membrane on the other. There are at least 12 different glucose transporter proteins in different tissues. The insulin-dependent glucose transporter type 4 (GLUT-4) is the most widely expressed glucose transporter and is responsible for the largest proportion of glucose transport in muscle and adipose tissue. In addition to that, glucose-dependent glucose transporters such as GLUT-1 in the brain, GLUT-2 in the liver, and sodium-dependent transporters such as GLUT-3 in the gastrointestinal tract are also known. Investigations in muscle cells and adipocytes have been performed to elucidate whether a defect in the insulin-dependent glucose transporter GLUT-4 is responsible for the development of insulin resistance in T2DM. The results from these experiments were relatively heterogeneous and revealed a reduced expression of GLUT-4 in some studies, a defect in the translocation and activation of GLUT-4 in others, as well as an unchanged GLUT-4 expression in T2DM. It is interesting to note that in studies of patients with T2DM, a reduced translocation of glucose transport vesicles to the plasma membrane was found, whereas GLUT-4 expression was unchanged. In studies investigating possible mutations of GLUT-4 in T2DM, no functionally relevant defects were found. In summary, in T2DM, a reduced capacity of insulin-dependent translocation of GLUT-4 vesicles to the plasma membrane is observed as a consequence of insulin resistance ( Fig. 2.3 ).

FIG. 2.3

Differences in the regulation of GLUT-4 translocation in cardiac myocytes under normal conditions and in insulin resistance.

Under normal conditions in fully differentiated cardiac myocytes ( left ), insulin stimulates the activation of the PI3-K/PDK1/AKT signal transduction. Insulin further stimulates the phosphorylation of the protooncogene Cbl (Cas-Br-M [murine] ecotropic retroviral transforming sequence homologue) and its increased recruitment to a lipid raft-located complex containing flotillin and CAP (Cbl-associated protein). The joint activity of both pathways is a prerequisite for the translocation of the glucose transporter GLUT-4. In the insulin-resistant state in dedifferentiated cardiac myocytes ( right ), the stimulation of the PI3-K/PDK1/AKT signal transduction is unchanged. Cbl, on the other hand, is reduced, and furthermore Cbl phosphorylation is impaired. As a consequence, the translocation of GLUT-4 is inhibited and the pool of available GLUT-4 is also diminished. PDK1 , Phosphoinositide-dependent kinase 1; PKB , protein kinase B; PI3K ; phosphatidylinositol 3-kinase.

ROLE OF THE ADIPOCYTE AND OBESITY IN TYPE 2 DIABETES

Obesity is one of the most important predisposing factors for the development of insulin resistance and T2DM. In the past two decades, we have learned to discriminate which fat compartments contribute substantially to this development. Patients with an increased visceral (mesenteric and omental) fat mass, as well as people with increased liver fat mass, have an increased risk for insulin resistance and T2DM. This explains why measuring the waist circumference and the waist-to-hip ratio predicts diabetes incidence more reliably than measuring the BMI. Increased subcutaneous fat depots in the hip, thigh, or gluteal region do not increase the risk for insulin resistance as long as there is no accompanying increase in visceral fat. An increased subcutaneous fat accumulation around the hip and thigh is often observed in females and is termed gynoid fat distribution , whereas central obesity is more common in males and is termed android fat distribution . The causes of predominantly subcutaneous or visceral fat storage are genetic and also dependent on sex hormone concentrations and additional endocrine influences. The understanding of genetic causes for central obesity is just being unraveled, but hormones such as cortisol and androgens have already been identified as being important for the development of central obesity. Visceral fat cells express a higher number of cortisol receptors and are, therefore, more sensitive to react to increased plasma cortisol concentrations. One hypothesis is that insulin resistance–induced obesity is caused by an overactivity of the neuroendocrine hormonal axes as well as by genetic predisposition. One rare example of an extreme cause of central obesity and in this case a secondary cause of diabetes development is Cushing syndrome. Furthermore, hyperandrogenism in females predisposes them to central obesity. These females frequently have polycystic ovary syndrome and an increased risk for the development of T2DM during middle age and later.

Visceral adipose tissue is now seen as an endocrine organ with respect to special functions concerning activation and secretion of numerous hormones and cytokines that mediate insulin resistance and chronic inflammation ( Fig. 2.4 ). Not only omental adipose tissue but also an increased fat content in hepatocytes, muscle cells, and even intrapancreatic fat play an important role in the development of insulin resistance and even in a decrease in insulin secretion (caused by intrapancreatic fat). Free fatty acids are important mediators in central obesity. Elevated free fatty acid concentrations in plasma are found in insulin resistance and T2DM. These free fatty acids are most likely liberated by an increased lipolytic activity of the central and visceral fat depots and facilitate insulin resistance through an increased rate of fatty acid oxidation of the involved organs. Insulin and the sympathetic nervous system are important regulators of lipolysis. In central obesity, the increased sympathetic activity and reduced insulin action mediate the rate of lipolysis, which results in an increase of free fatty acids.

FIG. 2.4

The adipocyte as endocrine organ.

The figure shows the different hormones, cytokines, inflammatory markers, growth factors, and other transmitter molecules that are secreted by the adipocyte. These substances are involved in inflammatory processes, insulin resistance, and vascular changes. FGF , Fetal growth factor; IGF-1 , insulin-like growth factor 1; IL , interleukin; TGF , transforming growth factor; TNF-α , tumor necrosis factor alpha; TNFR , TNF-α receptor; ACE , Angiotensin converting enzyme; CRP , C reactive protein; NGF , Neural growth factor; LPL , Lipoprotein lipase; PAI-1 , Plasminogen activator inhibitor; PG , Prostaglandin.

Modified from Staiger H, Häring HU. Adipocytokines: fat-derived humoral mediators of metabolic homeostasis. Exp Clin Endocrinol Diabetes. 2005;113:67.

In addition to free fatty acids, numerous other factors play a role in the development of insulin resistance. In patients with insulin resistance, the insulin-sensitizing hormone adiponectin has gained much attention in the past few years, not only because circulating levels of this adipokine are markers of T2DM and an elevated risk for cardiovascular disease but also because adiponectin is involved in the progression of these diseases. Adiponectin is a protein that is synthesized and secreted by fat cells. In obese individuals, significantly reduced adiponectin plasma concentrations are observed compared with lean people. Adiponectin is present in serum in relatively high concentrations, and the serum concentrations show a negative correlation with BMI and a positive correlation with insulin resistance and even with the incidence of cardiovascular diseases. The exogenous application of adiponectin under experimental conditions leads to an improvement in insulin sensitivity, a reduction in plasma glucose concentrations because of the activation of 5ʹ-AMP-kinase (adenosine monophosphate) and antiinflammatory effects. These effects may also be responsible for the antidiabetic and antiarteriosclerotic properties of adiponectin. Adiponectin is, therefore, thought to be a protective protein that is not sufficiently synthesized and secreted by adipocytes in insulin-resistant patients and patients with type 2 diabetes. Other known adipokines (e.g., leptin, resistin, retinol-binding protein, glypican-4) are currently being evaluated to determine whether they might serve as important targets for preventing and treating T2DM and cardiovascular disease.

Adipokines presently are the best-known “organokines,” although several other classes of organokines have been identified (including myokines, lipokines, and hepatokines). Organokines are proteins exclusively or predominantly produced by and secreted from a specific tissue, but they are not simply markers of the function of their source tissue. All organokines have paracrine or endocrine actions or both ( Table 2.2 ).

Table 2.2

Important Organokines and Mediators of Insulin Resistance and Chronic Inflammation

Organ Important Organokines Remarks
Adipose tissue (visceral)
  • Adiponectin

  • Interleukin-6 (IL-6)

  • Leptin

  • Omentin-1

  • Omentin-2

  • Resistin

  • Transforming growth factor beta (TGF-β)

  • Tumor necrosis factor alpha (TNF-α)

  • Visfatin

  • For details, see also Figs. 2.4 and 2.5 and the text discussion of tissue- and organ-specific contribution to insulin resistance—adipose tissue

  • (Refs. )

Liver
  • Angiopoietin-related protein 6

  • Fetuin-A

  • Fetal growth factor 21 (FGF-21)

  • Insulin-like growth factors (IGFs)

  • Insulin-like growth factor–binding proteins (IGFBP)

  • Selenoprotein P

  • Sex hormone–binding globulin (SHBG)

  • For details, see Fig. 2.5 , and the text discussion of tissue- and organ-specific contribution to insulin resistance—liver

  • (Refs. )

Muscle
  • Brain-derived neurotrophic factor

  • Erythropoietin (EPO)

  • Interleukin-6 (IL-6)

  • Interleukin-15 (IL-15)

  • Interleukin-1β (IL-1β)

  • Tumor necrosis factor alpha (TNF-α)

  • For details, see also the text discussion of tissue- and organ-specific contribution to insulin resistance—muscle

  • (Refs. )

TISSUE- AND ORGAN-SPECIFIC CONTRIBUTION TO INSULIN RESISTANCE

Muscle

Skeletal muscle plays an important role in glucose uptake. Approximately 80% of the glucose is transported into the skeletal muscle in an insulin-dependent manner. In this respect, the skeletal muscle is an important organ involved in the development of insulin resistance. This was demonstrated in glucose clamp experiments and positron emission tomography (PET) scan investigations that showed that in insulin resistance and T2DM, insulin-dependent glucose uptake into the skeletal muscle is significantly reduced. Ectopic fat deposition also seems to be highly important for the development of insulin resistance of skeletal muscle. Increased intramyocellular fat depositions are found in insulin resistance and T2DM. The ectopic fat deposition creates an altered metabolic atmosphere with increased free fatty acid concentrations and increased adipokines that lead to enhanced lipid oxidation and an increase in chronic inflammation, resulting in the development of insulin resistance and diminished glucose uptake into the skeletal muscle. The cause of increased intramyocellular fat deposition in insulin resistance and T2DM is most likely a genetic disposition. The triglyceride accumulation in skeletal muscle in obesity derives from a reduced capacity for fat oxidation. An inflexibility in regulating fat oxidation, rather than a defect in fatty acid uptake, is related to insulin resistance and T2DM. On the other hand, elevated circulating free fatty serum concentrations may secondarily lead to an increase in intramyocellular triglyceride accumulation.

The humoral cross talk between skeletal muscle and liver seems to be of interest and importance; in animal studies, an acute increase in physical activity quickly and strongly regulates the expression of a large number of genes in the liver.

In humans, aerobic fitness specifically regulates liver fat content but not total or visceral obesity. Whether myokines are involved in this important cross talk between skeletal muscle and liver in humans needs to be further investigated and characterized.

In addition to insulin-dependent glucose uptake, the transport of glucose into the skeletal muscle can also be mediated by physical activity in an insulin-independent manner. This insulin-independent glucose uptake is mainly mediated by an increase in the 5ʹ-AMP-kinase concentration with the consecutive activation of the 5ʹ-AMP-activated protein kinase (AMPK). Most data indicate that this pathway, activated by physical activity, is not altered in insulin resistance and in T2DM, in contrast to perturbations of insulin-dependent glucose transport.

In this respect, interleukin-6 (IL-6) produced in the working muscle during physical activity could act as an energy sensor by activating AMP-activated kinase and enhancing glucose disposal, lipolysis, and fat oxidation. In addition to the numerous positive effects of physical activity on all aspects of the metabolic syndrome and beyond, physical fitness and training improve glucose uptake into the skeletal muscle via the AMPK pathway.

Adipose Tissue

The role of central and visceral obesity in the development of insulin resistance was described previously. On a molecular level, the mediators secreted by the adipocytes in dependence of fat mass and fat distribution play an important role in the development of insulin resistance. In addition to the free fatty acids, adiponectin and numerous inflammatory cytokines, such as tumor necrosis factor alpha (TNF-α), IL-6, and transforming growth factor beta (TGF-β), are secreted by the adipocytes. These inflammatory cytokines cause insulin resistance via an inhibition of the intracellular insulin signaling. In addition, they lead to inflammatory processes that are frequently observed in insulin-resistant patients. The visceral fat stores, therefore, mediate insulin resistance and chronic inflammation, as well as arteriosclerotic development, through their secretory capacity of adipokines and cytokines.

Liver

One of the most important physiologic functions of the liver in glucose metabolism is to make glucose available for other organs in the fasting state, especially during the night. The regulation of hepatic glucose production is mediated by the influence of insulin on gluconeogenesis. In the postprandial state, the plasma glucose concentration rises, as do the concentrations of the incretin hormones (mainly glucagon-like peptide-1 [GLP-1]) that stimulate insulin secretion. Insulin reaches the liver directly in high concentrations via the portal vein system and physiologically suppresses hepatic glucose production, which would be counterproductive in the postprandial state, when plasma glucose is elevated already. Only during the fasting state with low glucose and insulin concentrations do low insulin concentrations disinhibit hepatic gluconeogenesis, leading to sufficiently high glucose concentrations in the circulation in the fasting state. In insulin resistance and T2DM, an increased hepatic glucose production is observed that is caused by a diminished hepatocyte response to insulin failing to suppress gluconeogenesis. Insulin resistance of the liver is typically detected in the clinical setting through elevated fasting glucose concentration, which is caused by the increased hepatic glucose production. Different mechanisms that lead to an increased hepatic gluconeogenesis are discussed: the insensitivity of the liver toward insulin itself on the one hand, but also elevated free fatty acid concentrations, as well as hyperglucagonemia, and increased activity of phosphoenolpyruvate-carboxykinase, a key enzyme of gluconeogenesis. One important trigger for insulin resistance of the liver is the fat accumulation in this organ. Different studies have shown a correlation between triglyceride content in hepatocytes and insulin resistance within the liver. Patients with T2DM frequently also have nonalcoholic steatohepatosis (MASH) or nonalcoholic fatty liver disease (MASLD), which are tightly correlated with insulin resistance. Successful implementation of a lifestyle intervention may reduce liver fat mass and may improve insulin resistance. The insulin-sensitizing effect of metformin and glitazones is partially explained by the reduction of the triglyceride content in the liver. MASLD is the most common liver disease, and along with the worldwide increase in the prevalence of general and abdominal obesity, MASLD has become a prevalent general health problem in many industrialized countries. MASLD represents a continuum of liver disease from simple steatosis to MASH and cirrhosis. Up to 20% of patients with simple steatosis will develop MASH, and in a subgroup of these patients, MASH can progress further to MASH with fibrosis and cirrhosis. Cirrhosis is the main risk factor for the development of hepatocellular carcinoma. In addition, MASLD was identified as a strong and independent predictor of T2DM and cardiovascular disease. Thus much effort is currently focused worldwide on precisely quantifying liver fat content in humans for predictive and therapeutic purposes. However, this endeavor might not be sufficient to completely understand the pathophysiology of MASLD.

During conditions of a positive energy balance, subcutaneous and visceral adipose tissues expand in a manner that is predominantly genetically determined. Subcutaneous obesity is not strongly associated with metabolic diseases, whereas visceral obesity is a strong predictor of these diseases. Increased availability of fatty acids (resulting from increased lipolysis), increased subclinical inflammation, and dysregulation of adipokine production and release are thought to promote insulin resistance, atherosclerosis, and beta-cell dysfunction. Accumulation of lipids in the liver is also largely genetically determined, and two distinct phenotypes have been identified. When hepatic detoxification processes are active, storage of lipids in the liver is not associated with metabolic diseases. By contrast, when lipotoxicity is present, hepatic glucose production increases, and lipids are released with an atherogenic profile. Dysregulated hepatokine production also contributes to the development of metabolic diseases. The important heptokines are listed in Table 2.3 , and Fig. 2.5 shows a schematic diagram of the putative roles of liver and adipose tissue in the development of metabolic diseases.

Table 2.3

Function of Important Hepatokines In Vitro and In Vivo

Data from Stefan N, Häring HU. The role of hepatokines in metabolism. Nat Rev Endocrinol. 2013;9:144.

Effects
Hepatokine In Vitro or Animal Studies In Humans
Angiopoietin-related protein 6
  • Energy expenditure ↑︎

  • Obesity ↓︎

  • NAFLD ↓︎

  • Insulin resistance ↓︎

Insulin resistance ↑︎
Fetuin-A
  • Obesity ↔︎/↑︎

  • Insulin resistance ↑︎

  • Subclinical inflammation ↑︎

  • Obesity ↔︎

  • NAFLD ↑︎

  • Insulin resistance ↑︎

  • Subclinical inflammation ↑︎

  • T2DM ↑︎

  • CVD ↑︎

FGF-21
  • Energy expenditure ↑︎

  • Insulin resistance ↓︎

  • Beta-cell survival ↑︎

  • Obesity ↑︎

  • NAFLD ↑︎

  • Insulin resistance ↑︎

IGFs and IGFBPs Insulin resistance ↔︎/↑︎/↓︎ Insulin resistance ↑︎/↓︎
Selenoprotein P Insulin resistance ↑︎
  • Insulin resistance ↑︎

  • Subclinical inflammation ↑︎

Sex hormone–binding globulin
  • Sex hormone bioavailability ↑︎

  • Sex hormone signaling ↑︎

  • Obesity ↓︎

  • NAFLD ↓︎

  • Insulin resistance ↓︎

  • Subclinical inflammation ↓︎

  • T2DM ↓︎

  • Cardiovascular disease ↓︎

CVD , Cardiovascular disease; FGF-21 , fetal growth factor 21; IGF , insulin-like growth factor; IGFBs , insulin-like growth factor–binding proteins; T2DM , type 2 diabetes mellitus.

FIG. 2.5

Novel roles of liver and adipose tissue in the development of metabolic diseases.

During conditions of a positive energy balance, subcutaneous and visceral adipose tissues expand in a manner that is predominantly genetically determined. Subcutaneous obesity is not strongly associated with metabolic diseases, whereas visceral obesity is a strong predictor of these diseases. Increased availability of fatty acids (resulting from increased lipolysis), increased subclinical inflammation, and dysregulation of adipokine production and release are thought to promote insulin resistance, atherosclerosis, and beta-cell dysfunction. Accumulation of lipids in the liver is also largely genetically determined, and two distinct phenotypes have been identified. When hepatic detoxification processes are active, storage of lipids in the liver is not associated with metabolic diseases. By contrast, when lipotoxicity is present, hepatic glucose production increases and lipids are released with an atherogenic profile. Dysregulated hepatokine production also contributes to the development of metabolic diseases.

Modified from Stefan N, Häring HU. The role of hepatokines in metabolism. Nat Rev Endocrinol. 2013;9:144.

The glycoprotein fetuin-A is an important hepatokine. It is a natural inhibitor of the insulin-stimulated insulin receptor tyrosine kinase and induces insulin resistance in rodents. In humans, circulating fetuin-A levels are positively associated with fat accumulation in the liver, insulin resistance, metabolic syndrome, and type 2 diabetes mellitus. In addition to inducing insulin resistance, fetuin-A is involved in subclinical inflammation and correlates positively with high-sensitive C-reactive protein levels in humans. It also induces cytokine expression in human monocytes and reduces the expression of the atheroprotective adipokine adiponectin in animals. Taken together, fetuin-A may represent a pathway linking fatty liver with cardiovascular events by inducing insulin resistance and inflammation. Indeed, an investigation in the cohort of the EPIC study (European Prospective Investigation into Cancer and Nutrition; EPIC-Potsdam) revealed a link between high plasma fetuin-A levels and an increased risk of myocardial infarction (MI) and ischemic stroke. High fetuin-A plasma concentrations led to a threefold to fourfold increased risk for MI and ischemic stroke.

Brain

During the past years, an increasingly important role of the brain in the development of insulin resistance and obesity has been found. The brain is not only an important organ for glucose disposal but has recently also been recognized as an insulin-sensitive organ. IRs are expressed in brain tissue. A high degree of insulin sensitivity of the human brain facilitates the loss of body weight and body fat during a lifestyle intervention.

Furthermore, insulin has important functions in regulating satiety signals and energy expenditure within the central nervous system and therefore has an influence on the development of obesity. Intracerebroventricular application of insulin promotes satiety in experimental models in animals and human studies. Neutralizing insulin effects in the brain in animal experiments leads to hyperphagia and obesity and a reduced peripheral action of insulin in the liver. The results of these experiments point to insulin effects in the brain that most likely lead to a neurotransmitter response that has an influence on hepatic glucose production. The brain is therefore an important central regulator for peripheral insulin action in the liver. Brain insulin resistance in humans has been associated with long-term adiposity and an unfavorable adipose tissue distribution, thus implicating it in the pathogenesis of subgroups of obesity and (pre)diabetes that are characterized by distinct patterns of body fat distribution. Encouragingly, emerging evidence suggests that brain insulin resistance could represent a treatable entity, thereby opening up novel therapeutic avenues to improve systemic metabolism and enhance brain functions, including cognition.

Regarding interventions, two clinical trials showed that brain insulin resistance appears to be treatable. A nonpharmacological intervention with 8 weeks of exercise in obese subjects improved insulin responsiveness in the dorsal striatum (putamen) to a level similar to that seen in lean individuals. Another study evaluated pharmacological treatment with the sodium-glucose cotransporter 2 (SGLT2) inhibitor empagliflozin in subjects with prediabetes and overweight or obesity. Empagliflozin over 8 weeks restored hypothalamic insulin sensitivity independently of body weight loss. Further analyses indicated that this improvement in hypothalamic insulin responsiveness seems to trigger the reduction of liver fat content and enhancement of fasting blood glucose levels that were also achieved with the SGLT2 inhibitor intervention.

Improving and developing therapeutic methods for brain insulin resistance could potentially lead to novel preventative or therapeutic options for obesity and metabolic disorders on the one hand and perhaps also for related neurological and psychiatric conditions. Progress in this central and important promising area requires a multidisciplinary effort to translate research findings into clinical practice and improvement of therapeutic options.

BETA-CELL DYSFUNCTION IN T2DM

Role of Insulin Secretion and Beta Cells in T2DM

Disturbed beta-cell function and a loss of beta-cell mass of the pancreatic islets play important pathogenetic roles in the development and progression of T2DM. Regarding the beta cell, a loss of insulin secretion and defects in the early phase of insulin secretion are important in the pathogenesis of T2DM. As diabetes progresses, a loss of beta-cell mass is also observed. In addition, a disturbance in glucagon secretion from the pancreatic alpha cells in the islet with hyperglucagonemia also contributes to the disorder of glucose metabolism. Although insulin resistance is relatively stable in the course of T2DM, the defects in beta-cell function and the loss of beta-cell mass are responsible for the progressive nature of the disease.

Pulsatility

Insulin secretion is regulated through a complex interplay of glucose, hormones, incretins, amino acids, and neuronal signals, among other factors. Physiologic insulin secretion follows a pulsatile pattern; in healthy individuals, every 5 to 10 minutes insulin is secreted in a pulse. These short-lasting insulin pulses add up to an insulin secretion profile that is repeated every 80 to 150 minutes. The pulsatile secretion of insulin is significantly more effective in lowering plasma glucose concentrations than continuous secretion. Patients with T2DM already show defective pulsatile insulin secretion even before the clinical manifestation of their diabetes. This defect is characterized by a reduction in pulse frequency as well as lower amplitudes of the insulin pulses. These disturbances can be observed in glucose-dependent as well as glucose-independent fashion. Insulin secreted from the beta cells reaches the liver via the portal system in the described pulsatile manner. It is degraded by approximately 60% in the liver and not distributed in the same pulsatile fashion into the systemic circulation. As a consequence of the defective pulsatile insulin secretion, hepatic glucose production is elevated.

Glucose-Dependent Insulin Secretion

The insulin secretion response after glucose administration in healthy individuals has a typical biphasic pattern, with an immediate insulin secretion peak approximately 3 to 5 minutes after an intravenous glucose bolus and approximately 20 minutes after oral glucose administration, which lasts for around 10 minutes. This acute or first phase of insulin secretion is followed by a second phase with a slower and more sustained elevation of plasma insulin concentrations. The duration of the second phase of insulin secretion is dependent on the elevation of plasma glucose. The first phase of insulin secretion results from the liberation of insulin from the fast recruitable secretory vesicles that are close to the plasma membrane of the beta cell. The second phase of insulin secretion is recruited from a less readily recruitable reserve pool of insulin vesicles. This reserve pool comprises newly synthesized insulin vesicles and so-called storage vesicles and is located further away from the outside cell membrane of the beta cell. In T2DM as well as in the prediabetic state of impaired glucose tolerance ( Table 2.4 for classification), a significantly reduced or even absent first phase of insulin secretion is observed after a glucose stimulus. This defect in the first phase of insulin secretion especially has an impact on the postprandial glucose concentrations. Several mechanisms have been reported to cause the defect in the first phase of insulin secretion: chronic hyperglycemia, elevated free fatty acid plasma concentrations, and a reduction in beta-cell mass. Some studies indicate that the first phase of insulin secretion can be restored by normalizing glucose metabolism. In addition to the described changes in the first phase of insulin secretion, the second phase is also changed in T2DM. Because of persistent hyperglycemia, the second phase of insulin secretion is often prolonged and more pronounced compared with the second phase in healthy individuals. There is a reciprocal nonlinear hyperbolic relationship between insulin secretion and insulin resistance. Insulin secretion can therefore be evaluated only with respect to the amount of peripheral insulin resistance. In insulin-resistant patients with T2DM, elevated plasma insulin concentrations may be observed compared with healthy controls, but these may be inappropriately low in relation to the degree of insulin resistance or to the elevation of plasma glucose concentrations during chronic hyperglycemia and may not be sufficient to normalize the plasma glucose. The insulin secretion in T2DM is, therefore, insufficient and often inadequate to cover the actual demand for glucose normalization. In addition to the disturbed insulin secretion, a defect in glucagon secretion is found in T2DM. Usually an inappropriately high glucagon secretion is observed that mediates increased hepatic glucose production. This hyperglucagonemia is partially caused by the lack of the tonic inhibition of glucagon secretion by insulin and beta-cell activity.

Table 2.4

Classification and Detection of T2DM and Prediabetic States With a Standardized Oral Glucose Tolerance Test (OGTT, 75 g Glucose)

Data from American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2013;36(suppl 1):S67.

Time Point of Glucose Measurement Normoglycemia Impaired Fasting Glucose (IFG) Impaired Glucose Tolerance (IGT)
T2DM
Fasting (0 min) <100 mg/dL<5.6 mmol/L
  • 100–125 mg/dL

  • 5.6–6.9 mmol/L

  • ≥126 mg/dL

  • ≥7.0 mmol/L

2-Hour postglucose <140 mg/dL<7.8 mmol/L 140–199 mg/dL7.8–11.0 mmol/L
  • ≥200 mg/dL

  • ≥11.1 mmol/L

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May 17, 2026 | Posted by in CARDIOLOGY | Comments Off on Insulin Resistance: Pathophysiology, Molecular Mechanisms, and Genetic Insights

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