Mengdi Wang†
Yanyu Pang†
Yifan Guo
Lei Tian
Yufei Liu
Cun Shen
Mengchao Liu
Yuan Meng
Zhen Cai
Yuefen Wang
Wenjing Zhao*- Department of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
Diabetic kidney disease (DKD) is one of the most common microvascular complications of diabetes mellitus. However, the pathological mechanisms contributing to DKD are multifactorial and poorly understood. Diabetes is characterized by metabolic disorders that can bring about a series of changes in energy metabolism. As the most energy-consuming organs secondary only to the heart, the kidneys must maintain energy homeostasis. Aberrations in energy metabolism can lead to cellular dysfunction or even death. Metabolic reprogramming, a shift from mitochondrial oxidative phosphorylation to glycolysis and its side branches, is thought to play a critical role in the development and progression of DKD. This review focuses on the current knowledge about metabolic reprogramming and the role it plays in DKD development. The underlying etiologies, pathological damages in the involved cells, and potential molecular regulators of metabolic alterations are also discussed. Understanding the role of metabolic reprogramming in DKD may provide novel therapeutic approaches to delay its progression to end-stage renal disease.
Introduction
Diabetic kidney disease (DKD) is the dominant cause of end-stage renal disease (ESRD) worldwide (Alicic et al., 2017). As the incidence and prevalence of DKD have surged significantly in consistence with the global epidemic of diabetes, it has placed large burdens on the society and the families of affected patients (Tuttle et al., 2014). Therefore, slowing the rate of progression of DKD is obviously of great importance. However, few therapies have been shown to be particularly effective. The pathological mechanisms contributing to the development of DKD are complex, with multiple factors involved. Notably, diabetes mellitus is characterized by metabolic abnormalities, such as hyperglycemia and hyperlipemia, which cause deleterious effects on the kidneys. However, strict blood glucose control has not led to positive clinical outcomes (Group, 2003; Zhang et al., 2003), nor has the available clinical management of hyperlipidemia (Haynes et al., 2014). To find effective therapies, deeper investigations into other mechanisms mediating the influence of metabolic disorders on kidney damage are needed.
The kidneys are high-energy-consuming organs (Wang et al., 2010). They require a large amount of energy to remove waste from the blood, reabsorb nutrients, balance electrolytes and fluids, maintain acid–base homeostasis, and regulate blood pressure (Bhargava and Schnellmann, 2017). Therefore, a normal and balanced energy metabolism system is particularly important for maintaining the specific structure and physiological function of kidneys (Chen et al., 2016). The metabolic process shows plasticity and can change in accordance with environmental changes. Metabolic reprogramming, also known as the “Warburg effect”, was first observed by Warburg in 1958; he found that tumor cells can synthesize adenosine-5′-triphosphate (ATP) through glycolysis even under well-oxygenated conditions (Warburg et al., 1927). In recent decades, technological advances have enabled a better understanding of energy metabolism. An increasing number of studies have confirmed the crucial role played by metabolic reprogramming in the development of chronic kidney diseases, such as renal fibrosis and autosomal dominant polycystic kidney disease (AKDKD) (Pagliarini and Podrini, 2021; Zhu et al., 2021). Recently, the metabolic alterations that drive the change from mitochondrial oxidative phosphorylation (OXPHOS) to glycolysis and its principal branches have attracted increasing interest with respect to delineating DKD mechanisms (Laustsen et al., 2013). In this review, we summarize the potential mechanism of diabetes-induced metabolic reprogramming, provide insights into the roles they play in the pathogenesis of renal cell damage, identify potential biomarkers, and discuss promising therapeutic strategies targeting metabolic reprogramming that prevent or halt renal injury in diabetes.
Mechanism of metabolic reprogramming in diabetic kidney disease
Glycolysis and mitochondrial oxidative phosphorylation are two main pathways of energy generation in cells. In glycolysis, one molecule of glucose is reduced to pyruvate in the cytoplasm, generating two molecules of ATP. The substrates for mitochondrial oxidative phosphorylation are more diverse than those involved in glycolysis. Pyruvate generated by glycolysis can be further shuttled into the tricarboxylic acid (TCA) cycle for OXPHOS in mitochondria, which produces an additional 36 molecules of ATP in the presence of oxygen. Free fatty acid utilization depends mainly on mitochondria, with 106 molecules of ATP generated through the complete oxidation of one molecule of palmitate. Glutamine can also be used to fuel OXPHOS in certain cells. Notably, glucose can be metabolized via side branches of glycolysis, including the advanced glycation end-product pathway, sorbitol/polyol pathway, diacylglycerol protein kinase C pathway, and hexosamine pathway, but no ATP is generated through these pathways, and ion flux under basal conditions is low (Figure 1).
FIGURE 1. Process of energy metabolism in cells.
Compared with glycolysis, OXPHOS is obviously more efficient for ATP generation; therefore, under normal circumstances, OXPHOS is the main source of ATP-based energy in the kidney, with a small amount deriving from glycolysis (Abe et al., 2010; Ahmad et al., 2021). However, the ATP production rate of the glycolytic pathway can be 10–100-fold faster than that of OXPHOS, and it has tremendous potential to be further enhanced in response to pathological conditions (Shiraishi et al., 2015). Diabetes, characterized by altered cellular metabolism, is thought to drive metabolic switching from oxidative phosphorylation to glycolysis or its side branches in renal cells. Although the underlying mechanisms are not fully understood, several potential etiologies leading to this process have been implicated.
Mitochondria dysfunction
Mitochondria are double-membraned organelles that provide sites for cellular respiration and oxygen-consuming ATP production via OXPHOS. The oxidative power of mitochondria depends on substrate utilization through a series of enzymes. ATP synthase, located on the inner membrane of mitochondria, catalyzes the phosphorylation of adenosine diphosphate (ADP) to ATP. The phosphorylation process is powered by a proton-motive force formed by the action of three respiratory chain complexes named CI, CIII, and CIV, which pump protons from the inner matrix of the mitochondria into the intermembrane space. In addition to forming an efficient coupling between electron transmission and ATP generation, respiratory chain complexes provide electrons to O2, which generate H2O. Electrons in the respiratory chain are available through the action of the reducing equivalents nicotinamide adenine dinucleotide (NADH) and flavin adenine dinucleotide (FADH2), which are mainly generated through a sequence of enzymatically catalyzed reactions in the matrix of the mitochondria known as the tricarboxylic acid (TCA) cycle.
Recently, Sas et al. (Sas et al., 2016) found that although metabolic flux mediated through the TCA cycle was increased in the diabetic kidney cortex, neither oxygen consumption nor ATP production was increased. A metabolic switch to anaerobic glycolysis to produce energy was identified when the mitochondrial function was suppressed (Abe et al., 2010; Brinkkoetter et al., 2019), suggesting that mitochondrial dysfunction in diabetes may lead to metabolic alteration. Mitochondria are susceptible to a variety of genetic and environmental insults. In fact, mitochondrial dysfunction in DKD has been revealed through many studies, which have shown induction of mitochondrial DNA (mtDNA) mutations and deletions (reduced mtDNA stability) (Czajka et al., 2015), decreased expression of electron transport chain (ETC) complex genes and mitochondrial biogenesis (Dugan et al., 2013), a defective mitochondrial fusion–fission process, and mitophagy disorders (Higgins and Coughlan, 2014; Dai et al., 2021; Zhang et al., 2021). An increase in the uncoupling of the respiratory chain may lead to diminished ATP synthesis in diabetic mitochondria (Friederich et al., 2008). In addition, sustained hyperglycemia further induces an abnormally high proton gradient across the inner mitochondrial membrane, leading to excessive reactive oxygen species (ROS) or reactive nitrogen species (RNS) production (Friederich et al., 2008), which results in a vicious cycle by promoting mitochondrial dysfunction (Brady et al., 2006; Zorov et al., 2006, 2014; Venditti and Di Meo, 2020). Moreover, the excessive metabolic byproduct was caused by the decreased activities of mitochondria in diabetes, such as citrate succinate, fumarate, and malate, and the accumulation of these byproducts is toxic to mitochondria by inhibiting ATP synthase (Fu X. et al., 2015) or decreasing the mitochondrial membrane potential (Karlstaedt et al., 2016).
Increased glycolytic flux
The diabetic milieu is characterized by excessive energetic substrates, including glucose, which is taken up by renal cells via glucose transporters (Elsas and Longo, 1992). Hyperglycemia enhances glucose transportation from extracellular to intracellular compartments by upregulating the expression of glucose transporters (GLUTs) or sodium–glucose cotransporters (SGLTs) (Heilig et al., 1997). Glomerular cells take up most of the excessive glucose by overexpressing transporter isoforms of GLUT1 (Weigert et al., 2003; Moutzouris et al., 2007). Mechanical stress resulting from glomerular hypertension has been shown to be another contributor to increased glycolytic flux (Lewko et al., 2005). In proximal tubule cells, SGLT2 reabsorbs glomerular-filtered glucose from the lumen of the proximal tubules on the apical side. However, despite exposure to elevated intracellular glucose, this reabsorbed glucose is not consumed during ATP production in proximal tubules under normal conditions but diffuses into the interstitial space through GLUT2 on the basolateral side and is then transported back into the bloodstream (Mather and Pollock, 2011). Therefore, in addition to elevated glucose intake, the expression of glycolytic enzymes is upregulated to enhance glucose decomposition under high-glucose (HG) conditions (Jiang et al., 2019). Recent work by Sas et al. (Sas et al., 2016) demonstrated significantly increased levels of several important glycolytic enzyme transcripts, including hexokinase, phosphofructokinase, and pyruvate kinase, in the diabetic kidney, and the protein products of these transcripts catalyze three irreversible reactions in glycolysis. However, the unchanged expression of TCA cycle pathway-related genes was observed in the study. For example, the pyruvate dehydrogenase multienzyme complex (PDC), a key regulator linking glycolysis to the TCA cycle by catalyzing pyruvate to acetyl-coenzyme A (CoA) irreversibly in mitochondria, was shown to be hyperphosphorylated and inhibited, leading to diabetic kidney injury in the presence of consistent hyperglycemia (Jeoung et al., 2006; Rardin et al., 2009; Dugan et al., 2013; Dlamini et al., 2015). Hence, more pyruvate undergoes anaerobic fermentation to lactate in a compensatory process.
When glycolytic lactic acid reaches the saturation points, some of the excess glycolytic intermediate metabolites are shunted down its side branches (Buse, 2006). For example, the polyol pathway was shown to metabolize as much as 33% of this glucose when hexokinase abundance reached the saturation level in hyperglycemia. Overproduced ROS/RNS were recognized as important factors that divert glycolytic flux from ATP generation toward the formation of advanced glycation end products (AGEs), sorbitol, fructose diacylglycerol, and UDP-N-acetylglucosamine (UDP-GlcNAc) (Chung et al., 2003). As important nonmitochondrial sources of ROS/RNS, activated subpathways further enhance the generation of reactive oxygen free radical species (Singh et al., 2022).
Chronic kidney hypoxia
Diabetes has previously been shown to induce “pseudohypoxia”, which refers to a state with increased lactate formation regardless of subsequent exposure to normoxic oxygen levels (Williamson et al., 1993). Later, studies confirmed the presence of intrarenal hypoxia in both cortical and medullary regions of diabetic kidneys, with significantly reduced oxygen tension (Palm et al., 2004; Rosenberger et al., 2008; Laustsen et al., 2014; Valdés et al., 2021). Importantly, a decreased level of renal oxygenation was also found in patients with diabetes (Yin et al., 2012). Hypoxia is the result of a mismatch between oxygen delivery and oxygen demand. Specifically, in models of early diabetic kidney involvement, higher levels of renal blood perfusion and glomerular filtration rates render “primarily ischemic” damage unlikely. Therefore, chronic hypoxia in early diabetic kidneys is mainly related to augmented oxygen consumption rather than impaired oxygen delivery or blood flow (Blantz, 2014). The enhanced tubular reabsorption and increased mitochondrial uncoupling can partially explain the increase in oxygen utilization (Körner et al., 1994; Palm et al., 2003; Friederich et al., 2008). In addition, oxygen diffusion distances increase as the extracellular matrix accumulates between blood vessels and adjacent cells over time (Fine and Norman, 2008).
Hypoxia is an established driver of the metabolic switch from mitochondrial oxidative phosphorylation to anaerobic fermentation, which was first observed by Pasteur in the late 19th century (Nelson and Cox, 2005). The metabolic reprogramming process seems to involve cell-autonomous adaptation that maintains ATP levels in response to oxygen deficiency under hypoxic conditions (Chen et al., 2017). Studies showed increased pyruvate-to-lactate production concomitant with unaltered oxidative phosphorylation and activation of the poly pathway in streptozotocin-induced diabetic kidneys when there is sufficient oxygen (Palm et al., 2004; Laustsen et al., 2013). Later, an experiment performed by Laustsen et al. further demonstrated an increased sensitivity of early diabetic kidneys to reduced oxygen availability and acquisition of a phenotype consistent with Warburg metabolism (Laustsen et al., 2014).
Pathological damage induced by metabolic reprogramming of different cells in DKD
DKD is associated with structural changes that manifest as mesangial expansion, podocyte loss, tubular atrophy, and interstitial inflammation, which result in glomerulosclerosis and tubular interstitial fibrosis. Proximal tubular epithelial cells, with high-energy demands to enable constant reabsorption of nutrients, carry abundant mitochondria that rely mostly on fatty acid (FA) oxidation for energy at the baseline and undergo little glycolysis (Marks et al., 2003; Cargill and Sims-Lucas, 2020). In contrast, glomerular cells, including podocytes, mesangial cells, and glomerular endothelial cells, depend mainly on glucose for fuel (Abe et al., 2010; Bhargava and Schnellmann, 2017; Harzandi et al., 2021). In addition to resident renal cells, metabolic reprogramming can characterize immune cells, such as macrophages, which are closely related to kidney injury in diabetes. As discussed below, metabolic reprogramming in diabetes can induce multiple types of damage, including lipid accumulation, metabolite toxicity, ROS activation, and inflammation. With specific bioenergetic properties, cellular activation states vary between cell types, which contribute to specific pathological changes in the development of DKD (Figure 2).
FIGURE 2. Pathological damage induced by metabolic reprogramming of different cells during development of DKD.
Tubular epithelial cells
Tubulointerstitial fibrosis is recognized as the common pathway of chronic kidney disease progression to ESRD. Healthy renal tubular epithelial cells require high levels of baseline energy; however, the capillaries around renal tubules are relatively sparse compared with those near glomerular cells, limiting the oxygen supply to renal tubules (Li S. et al., 2021). Therefore, renal tubule epithelial cells are more vulnerable to metabolic abnormities under diabetic conditions. Under normal conditions, extracellular FAs are transported into cells mainly via several FA transporters, among which cluster of differentiation 36 (CD36) (Pepino et al., 2014; Glatz and Luiken, 2018) and fatty acid-binding proteins (FABPs) are two important transporters. CD36, a transmembrane protein belonging to the class B scavenger receptor family, is the major receptor mediating the binding and uptake of FAs in proximal tubular epithelial cells (Yang et al., 2017). FABPs constitute a family of intracellular proteins that function in long-chain fatty acid (LCFA) uptake, metabolism, and intracellular transport in the cytoplasm. With 15 members discovered to date, FABP1 is expressed in epithelial tubular cells (Atshaves et al., 2010; Wang H. et al., 2021). After entering cells, LCFAs can be converted into LCFA-CoAs under the catalysis of acyl-CoA synthetase (ACS). Through FABP1 and carnitine shuttles, involving carnitine palmitoyltransferase-1 (CPT1) and CPT2 on the mitochondrial membrane, LCFAs and LCFA-CoAs are transported into the mitochondrial matrix for β-oxidation, which provides the TCA cycle with acetyl-CoA (Marks et al., 2003). Excessive acetyl-CoA can be transported out of mitochondria via carnitine acetyltransferase (CACT), which resynthesizes new FAs (Chen et al., 2019; Thongnak et al., 2020). Unconsumed FAs are converted to triglycerides and then into lipid droplets through two sequential reactions catalyzed by lipin-1 (LPIN1) and perlipin-2 (PLIN2) (Donkor et al., 2009). Recently, metabolic reprogramming in proximal tubular epithelial cells was demonstrated in both human and animal models (Czajka and Malik, 2016; Srivastava et al., 2018; Cai et al., 2020). On one hand, alterations in fuel-source preferences, from FAs to glucose, lead to impaired FA oxidation (FAO) in proximal tubular epithelial cells in the context of diabetes or sustained hyperglycemia. With the increased uptake of intracellular FAs (Su et al., 2017; Puchałowicz and Rać, 2020), excessive lipid droplets accumulate inside proximal tubular epithelial cells (Herman-Edelstein et al., 2014), which triggers further lipotoxicity by inducing inflammation, oxidative stress, endoplasmic reticulum stress, and so on and ultimately leads to cell apoptosis and renal fibrosis (Wang H. et al., 2021). On the other hand, many studies showed that the elevated expression of glycolytic enzymes and enhanced glycolysis in diabetes further induce epithelial–mesenchymal transition (EMT) and exacerbate renal fibrosis (Storch and Corsico, 2008); (Yin et al., 2018; Li et al., 2020a) In addition, several metabolites accumulate in the TCA cycle due to decreased mitochondrial mechanisms; one of these metabolites, fumarate, was shown to play a negative role in the mesenchymal activation (Sciacovelli et al., 2016)and cell death (Laustsen et al., 2020)of tubular epithelial cells in diabetic kidneys (You et al., 2016; Miura et al., 2019).
Podocytes
Podocytes are highly specialized cells with complex structures known as interdigitating foot processes, slit diaphragms, and focal adhesion complexes, contributing to the formation of a glomerular filtration barrier. To sustain the complex cellular morphology as well as their normal function, podocytes rely on a constant energy supply involving both mitochondrial oxidative phosphorylation and glycolysis (Imasawa and Rossignol, 2013). The podocyte bioenergetic status seems to be dependent on their stage of differentiation. For example, aerobic glycolysis has been shown to be the main source of energy before differentiation, and OXPHOS is predominant during and after differentiation, with concomitant stimulation of mitochondrial biogenesis and functions (Imasawa et al., 2017; Yuan et al., 2020). In differentiated podocytes, metabolism switches to anaerobic glycolysis when the mitochondrial function is suppressed (Abe et al., 2010; Brinkkoetter et al., 2019). However, despite the significant decrease in mitochondrial oxidative phosphorylation as a result of PPARγ coactivator-1α (PGC-1α) and mitochondrial transcription factor A (TFAM) activity knockdown, no changes were found in urinary albumin excretion or glomerular morphology (Brinkkoetter et al., 2019). Therefore, the compensatory increase in glycolysis is thought to provide sufficient energy to meet podocyte needs under normal conditions; however, in the setting of cell stress such as hyperglycemia, the compensatory mechanism may not meet cellular needs. Metabolic reprogramming in HG-exposed human podocytes was shown to shift during a dedifferentiation process with decreased expression of functional proteins, such as podocin (Imasawa et al., 2017), leading to podocyte injury (Saleem et al., 2002). Further studies showed that inhibiting pyruvate from glycolysis to the TCA cycle in diabetic mice led to substantial podocyte damage, manifesting as a decrease in the number of cells and a reduction of synaptopodin (Qi W. et al., 2017; Li et al., 2020b). The increased flux to side branches of glycolysis is another mechanism of podocyte damage in metabolic reprogramming, instead of generating pyruvate, glucose enters side branches to produce toxic metabolites, such as sorbitol, methylglyoxal, and diacylglycerol, contributing to podocyte apoptosis (Qi et al., 2018). In addition, lipotoxicity in podocytes due to decreased metabolism has recently attracted attention (Audzeyenka et al., 2022). For example, fructose was shown to drive mitochondrial metabolic reprogramming in differentiated podocytes, resulting in lipid accumulation and cell injury (Fang et al., 2021).
Mesangial cells
Glomerular mesangial cells (MCs) are specialized pericytes located around the glomerular capillaries within the renal corpuscle, and they synthesize the mesangial matrix and regulate glomerular hemodynamics via cell contraction and release various cytokines (Ebefors et al., 2021).Mesangial cell proliferation is stimulated in the early stage of DKD; subsequently, the growth of the cells is arrested, and they undergo hypertrophy and apoptosis (Khera et al., 2006; Tsai et al., 2020; Chen et al., 2022), contributing to glomerular sclerosis and a decline in the glomerular filtration rate. MCs exhibited higher basal respiration rates and reserved energy-production capacity, possibly making them more resistant to hyperglycemia. Their mitochondrial respiration was unaltered under hyperglycemic conditions for a short time. However, exposure to sustained hyperglycemia did not enhance glycolysis in MCs despite compromised mitochondrial respiration, in contrast to the effect on proximal tubular epithelial cells. Chronic hyperglycemia caused MCs to lose metabolic switching flexibility in response to an acutely high glucose load causing bioenergetic deficits in these cells (Czajka and Malik, 2016). An earlier study by Asano et al. (Asano et al., 2000) may have explained this phenomenon by showing that excessive glucose entered the sorbitol pathway, not the glycolytic pathway, in hyperglycemia, resulting in the accumulation of sorbitol and fructose in MCs. As a result, mesangial cells lost their contractile responsiveness and proliferative capacity (Derylo et al., 1998). Notably, a recent study by Xu et al. (Xu et al., 2021) revealed that glucose fluctuation, which refers to intermittent hyperglycemia, intensified aerobic glycolysis and suppressed OXPHOS in MCs, and suppressing the aerobic glycolytic switch improved cell viability, relieved inflammatory injury, and decreased the apoptosis rate.
Endothelial cells
Glomerular endothelial cells (GECs), which reside within the glomerular capillary and are facilitated by fenestrae and a luminal glycocalyx layer, contribute to the formation of the glomerular filtration barrier (Haraldsson and Nyström, 2012). GEC dysfunction was recently intensively studied and was found to be a key perpetrator in the initiation and development of DKD (Fu J. et al., 2015; Shi and Vanhoutte, 2017; Maestroni and Zerbini, 2018). In contrast to other renal cells, endothelial cells primarily rely on glycolysis, not mitochondrial oxidative phosphorylation, for ATP production despite access to oxygen (Eelen et al., 2018). However, mitochondrial respiration still plays an important role in maintaining endothelial cell structural and functional integrity, such as by maintaining Ca2+ homeostasis and regulating oxidative stress (Yu et al., 2017; Yamamoto et al., 2018; Salnikova et al., 2021).
Diabetes is, in particular, a state of chronic hypoxia, and with elevated glucose uptake and disrupted glucose flow, it contributes to metabolic reprogramming in endothelial cells by further enhancing glycolysis and reducing mitochondrial respiratory capacity (Wu et al., 2017; Li J. et al., 2021; Dumas et al., 2021). Studies showed that hyperglycemia led to an upregulation of glycolytic metabolism and a downregulation of mitochondrial activity in GECs (Cheng et al., 2011; Qi H. et al., 2017; Song et al., 2022). Suppressed mitochondrial activity was associated with increased endothelin-1 receptor type A (EDNRA) expression and circulating endothelin-1 (ET-1) abundance, which led to the loss of fenestrae in GECs (Qi H. et al., 2017). Glycolytic activation promoted endothelial inflammation and macrophage infiltration (Song et al., 2022). In addition, a significant increase in dysfunction pathways can lead to increased oxidative stress. For example, enhanced glucose metabolism in the hexosamine pathway increased O-linked β-N-acetylglucosamine (O-GlcNAc) modification of endothelial nitric oxide synthase (eNOS) in experimental DKD and subsequent ROS production (Du et al., 2001). Excessive mitochondrial superoxide produced in dysfunctional mitochondria further increased side branch pathway metabolism (Clyne, 2021). Moreover, the metabolic response was accompanied by a series of molecular changes, such as increased expression of FASN (encodes fatty acid synthase) and arginase II (which catalyzes the hydrolysis of l-arginine and l-ornithine) and decreased biosynthesis of hyaluronan, which induces lipid accumulation (Wahl et al., 2016), triggers eNOS uncoupling, and reduces glycocalyx production in GECs (Wang G. et al., 2020). All these changes accelerated and exacerbated diabetic glomerular lesions and progression.
Macrophages
Macrophages, originating from monocytes in peripheral blood, are classified into two distinct subtypes, M1 and M2 macrophages. Under homeostatic conditions, the M2 macrophage anti-inflammatory phenotype is predominant and depends mainly on OXPHOS for ATP. In contrast, stimulated resident macrophages acquire a proinflammatory M1 phenotype, which leads to inflammatory activity and preferential glycolysis even under conditions of sufficient oxygen (Curi et al., 2017). Metabolic reprogramming from OXPHOS toward aerobic glycolysis has been proven to be a primary indicator and central regulator during inflammatory activation by rapidly providing quiescent macrophages with sufficient energy (El Kasmi and Stenmark, 2015). Therefore, macrophages exhibit uniquely high metabolic plasticity, which enables them to respond quickly to external stimuli, including hyperglycemic signals.
A recent study showed that M1 polarization was increased in the kidneys of diabetic mice, and the upregulation of glycolytic enzyme expression, as well as lactic acid production and glucose uptake, was observed in high-glucose-stimulated macrophages. As a result, increased proinflammatory cytokine production caused pathological damage in DKD. Macrophage infiltration into glomeruli and the interstitium are related to renal impairment in DKD. Activated M1 macrophages secrete inflammatory cytokines, contributing to renal pathological damage, such as mesangial cell proliferation, podocyte apoptosis, and renal fibrosis (Chow et al., 2004; You et al., 2013; Lin et al., 2022).
Cellular and molecular regulators of metabolic reprogramming in diabetic kidney disease
As discussed above, chronic hypoxia, increased glycolytic flux, and mitochondrial dysfunction are potential mechanisms of metabolic reprogramming. Hypoxia-inducible factor 1α (HIF-1α) is a well-known nucleoprotein activated under hypoxic conditions. Pyruvate kinase M2 (PKM2) is a key enzyme in glycolytic activity, and sirtuin 3 (SIRT3) directly interacts with various mitochondrial proteins, playing a crucial role in regulating mitochondrial functions. Therefore, we focus on the regulatory mechanisms mediated by these three molecules in the metabolic reprogramming of DKD (Table 1).
TABLE 1. Molecular regulators of metabolic reprogramming in DKD.
HIF-1α
HIF-1α is the active subunit of HIF-1 and functions as a master regulator of cellular and systemic homeostatic responses to cytoplasmic hypoxia. Under normoxic conditions, HIF-1α is rapidly degraded through the ubiquitin–proteasome pathway, followed by hydroxylation by prolyl hydroxylases (PHDs). When the oxygen supply is limited, the increased stability of the active subunit leads to HIF-1α accumulation and translocation to the nucleus, where it binds to hypoxia response elements (HREs), resulting in elevated transcription of the target genes to facilitate metabolic adaptation to hypoxia (Wang et al., 1995).
HIF-1α is a key transcriptional regulator of metabolic modification. On one hand, HIF-1α reprograms central metabolism by enhancing glycolysis. HIF-1α functions as a direct transcriptional activator of the glucose transporters GLUT1 and GLUT3 and nearly all glycolytic enzymes, including phosphoglycerate kinase 1 (PGK-1), glucose-6-phosphate isomerase (GPI), phosphofructose kinase-1 (PFK-1), and lactate dehydrogenase (LDH), to promote both the uptake and catabolism of glucose (Hu et al., 2006; Zhong et al., 2010; Yan et al., 2017). On the other hand, HIF-1α negatively regulates mitochondrial respiration. Evidence suggests that HIF-1α suppresses the TCA cycle and ETC activity by preventing substrates, such as glucose and FAs, from being catabolized to acetyl-CoA, downregulating mitochondrial mass by promoting mitophagy and inhibiting mitochondrial biogenesis (Thomas and Ashcroft, 2019). In turn, mitochondrial dysfunction increases the levels of ROS, which can stabilize HIF-1α by inhibiting the activity of PHDs, and another oxygen-dependent dioxygenase enzyme, factor inhibiting HIF (FIH), promotes HIF degradation (Hagen, 2012). An increase in TCA cycle metabolites, such as succinate and fumarate, also leads to HIF-1α accumulation by inhibiting PHDs (Selak et al., 2005; You et al., 2016). Importantly, these processes progress independent of hypoxic. Additionally, HIF-1α signaling inhibits the diversion of pyruvate from glycolysis into the TCA cycle by increasing the expression of LDH and pyruvate dehydrogenase kinase (PDK), which phosphorylates and inactivates PDC (Kim et al., 2006).
A HIF-1α-mediated switching to glycolysis was observed in rodent models of DKD, proximal tubules, mesangial cells, and macrophages under HG conditions and proved to play a pivotal role in the fibrosis process of DKD by inducing inflammation, lipid accumulation, and the EMT (Matoba et al., 2013; Nayak et al., 2016; Bessho et al., 2019). Therefore, metabolic reprogramming regulated by HIF-1α is likely an important target for ameliorating DKD fibrosis.
PKM2
PKM2 is a key isoform of pyruvate kinase (PK), acting as the rate-limiting glycolytic enzyme that catalyzes the final step from phosphoenolpyruvate (PEP) to pyruvate (Tsutsumi et al., 1988; Bluemlein et al., 2011). PKM2 is mainly expressed in the kidneys (Alquraishi et al., 2019), existing as an active tetramer, a less active dimer, or an inactive monomer (Wen et al., 2021). In most cases, PKM2 forms tetramers under physiological conditions, promoting the entry of pyruvate into the TCA cycle. However, researchers have identified a shift of PKM2 from tetramer to dimer or monomer formation in models of DKD (Sun et al., 2011; Qi W. et al., 2017; Li et al., 2020b), thereby shifting glucose metabolism toward aerobic glycolysis (Tamada et al., 2012). This shift to lower activity of PKM2 is always caused by post-translational modifications of PKM2, such as phosphorylation, acetylation, sulfenylation, and oxidation (Yang and Lu, 2015; Qi W. et al., 2017; Alquraishi et al., 2019).
Low-activity dimers or inactive monomers of PKM2 reduce the conversion of PEP to pyruvate, leading to accumulation of intermediary metabolites upstream. The intermediary metabolites are then available as precursors for the glycolytic side branches, leading to accumulation of toxic metabolites (Srivastava et al., 2018; Liu et al., 2021). Besides, the PKM2 dimer can be translocated into the nucleus via multiple mechanisms (Hitosugi et al., 2009; Yang et al., 2012; Wang et al., 2014; Yang and Lu, 2015), where it acts as a coactivator of HIF-1α (Luo et al., 2011) and signal transducer and activator of transcription 3 (STAT3) (Gao et al., 2012), a member of the STAT protein family, mainly in response to various cytokines and growth factors (You et al., 2015; Zheng et al., 2019) to promote metabolic reprogramming. Nuclear PKM2-mediated STAT3 has been reported to be sufficient to induce metabolic reprogramming of macrophages by increasing HIF-1 signaling (El Kasmi and Stenmark, 2015). The nuclear translocation of PKM2 was also shown to increase the expression of LDH and PDK1, thus ultimately leading to lactate accumulation (Luo et al., 2011; Yang and Lu, 2015). Moreover, researchers revealed that diabetic patients with advanced kidney functions had lower levels of active PKM2 in renal glomeruli and podocyte-specific PKM2-knockout (KO) mice with diabetes developed worse albuminuria and glomerular pathology. They further discovered that by activating PKM2, mitochondrial biogenesis, mitochondrial fusion, and mitochondrial membrane potential were re-established, suggesting that PKM2 also regulates metabolic reprogramming by affecting mitochondrial functions (Qi W. et al., 2017; Gordin et al., 2019). In addition, pathological PKM2 isoform switching has also been described in renal tubular epithelial cells and endothelial cells of diabetic kidneys, inducing inflammation by regulating intracellular metabolic reprogramming and, eventually, leading to glomerular lesions and renal fibrosis, which promotes DKD progression (Qi W. et al., 2017; Li L. et al., 2020; Liu et al., 2021).
SIRT3
SIRT3, belonging to the sirtuin family, is a highly conserved nicotinamide adenine dinucleotide (NAD+)-dependent histone deacetylase (de Oliveira et al., 2010). It is expressed at high levels in the kidneys (Jin et al., 2009) as long or short isoforms (Murugasamy et al., 2022). The short isoform is predominant in the mitochondrial matrix, where it acts as a functionally active mitochondrial deacetylase (Onyango et al., 2002; Schwer et al., 2002). SIRT3 can directly interact with at least 84 mitochondrial proteins (Yang et al., 2016) and regulates several cellular processes, including mitochondrial DNA damage repair, gene expression, energy metabolism, redox balance, and autophagy (Ahn et al., 2008; Sundaresan et al., 2008; Cimen et al., 2010; Cheng et al., 2013; Li Y. et al., 2018).
However, with aging and under pathological conditions, SIRT3 expression is downregulated (Benigni et al., 2016). In a high-glucose environment, reduced SIRT3 abundance promotes glycolysis and inhibits OXPHOS through the regulation of oxidative stress and mitochondria-related proteases, resulting in metabolic reprogramming in kidney cells. Reduced SIRT3 levels directly inhibit the activity of manganese superoxide dismutase (MnSOD), which is the first line of defense against oxidative stress (Finley et al., 2011a). By inhibiting the deacetylation of its target protein forkhead box protein O3a (FOXO3a), SIRT3 depletion leads to the decreased activity of other antioxidants, such as catalase and isocitrate dehydrogenase 2 (IDH2), which is associated with glutathione reductase (Jacobs et al., 2008; Sundaresan et al., 2009; Yu et al., 2012). As a result, excessive ROS accumulates and stabilizes HIF-1α, which subsequently promotes the glycolytic process (Finley et al., 2011a). Studying SIRT3-knockout mice, researchers found hyperacetylation and reduced activity of enzymes involved in the TCA cycle and ETC activity, including NADH dehydrogenase ubiquinone 1 alpha subcomplex 9 (NDUFA9) in complex I, succinate dehydrogenase subunit A (SDHA) in complex II, and complex III (Ahn et al., 2008; Finley et al., 2011b; Wang S. et al., 2020). In addition, decreased SIRT3 levels could result in reduced mitochondrial biosynthesis, abnormal mitochondrial dynamics, impaired mitophagy, and an increase in abnormal mitochondria, ultimately contributing to mitochondrial dysfunction (Tseng et al., 2013; Feng et al., 2018). In addition, the lack of SIRT3 for promoting glycolysis has been associated with a higher PKM2 dimer formation rate (Srivastava et al., 2018) and activated STAT3 signaling (Srivastava et al., 2020b). Reduced SIRT3 levels lead to hyperacetylation and decreased PDC activity, thereby promoting glycolysis–glucose oxidative uncoupling and the accumulation of pyruvate/lactate (Bause and Haigis, 2013; Zhang et al., 2020).
Emerging therapeutics for regulating metabolic reprogramming in diabetic kidney disease
Several strategies have been proven effective in controlling the metabolic switching between mitochondrial OXPHOS and glycolysis. Renin-angiotensin-aldosterone system (RAAS) inhibitors, including angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs), are conventional therapies for DKD. A recent study by Srivastava et al. (Srivastava et al., 2020a) showed that imidapril, an ACE inhibitor, suppressed abnormal glucose metabolism through glycolysis and simultaneously restored mitochondrial FAO, thus ameliorating renal fibrosis in diabetic mice. The underlying mechanism might be related to the restoration of the expression of N-acetyl-seryl-aspartyl-lysyl-proline (AcSDKP), an endogenous peptide that is normally present in the plasma, and the exogenous addition of this peptide led to a similar effect. However, ARBs did not exert any effect on metabolic reprogramming.
Recently, large placebo-controlled studies confirmed the beneficial effects of SGLT2 inhibitors in delaying the progression of ESRD in diabetic patients (Neal et al., 2017; Perkovic et al., 2019). These inhibitors reduced tubular reabsorption of glucose, thus lowering blood glucose and enhancing renal oxygenation of the cortical region (Hesp et al., 2020). They also normalized TCA cycle activity, mitigated TCA-metabolite accumulation, and inhibited oxidative stress in the kidneys of diabetic mice (Tanaka et al., 2018). Recent studies suggested that dapagliflozin reduces diabetes-induced tubulointerstitial damage by suppressing metabolic switching from lipid oxidation to glycolysis (Cai et al., 2020), and another SGLT2 inhibitor, empagliflozin, was shown to protect kidney tubules from undergoing the EMT by normalizing suppressed SIRT3 levels and inhibiting aberrant glycolysis (Li et al., 2020a). In addition to the medicines already on the market, some preclinical therapies were also proven effective. For example, Interleukin-22 (IL-22), an endogenous cytokine secreted by immune cells, has been shown to correct metabolic reprogramming by maintaining mitochondrial integrity, reducing ROS, and inhibiting lipid accumulation in DKD (Chen et al., 2021; Shen et al., 2021). Glycolysis inhibitors and PKM2 activators have also been revealed to effectively disrupt metabolic reprogramming (Qi W. et al., 2017; Liu et al., 2021). Therefore, metabolic reprogramming is a pivotal target, and therapeutic strategies regulating metabolic reprogramming may be beneficial in retarding DKD progression.
Conclusions and future perspectives
The regulation of the metabolic network is complicated. As we reviewed, a combination of several mechanisms accounts for metabolic reprogramming in DKD, and all these factors influence each other. Oxygen depletion directly leads to decreased mitochondrial metabolism and glycolytic pathway activation (Seagroves et al., 2001). In turn, increased mitochondrial uncoupling contributes to intrarenal hypoxia in diabetic kidneys by stimulating O2 consumption (Friederich et al., 2008). The increased side branches and mitochondria dysfunction interact with each other through ROS production (Brownlee, 2001). Thus, some key molecules of energy metabolism are discovered as core regulators of metabolic reprogramming and represent potential targets for the treatment, such as HIF-1α, PKM2, and SIRT3. An in-depth understanding of these key regulatory molecules will help to develop effective drugs to reverse energy metabolism abnormalities. Moreover, the affected cells are not isolated in the kidneys. There is also a cross-talk between cells, which means that a change in cellular metabolic reprogramming may cause damage to other cells. For example, the metabolic reprogramming of endothelial cells leads to podocyte defects and depletion (Qi H. et al., 2017). The elevated anaerobic glycolysis in renal tubular epithelial cells inhibited the proliferation and differentiation of co-incubated podocytes (Li M. et al., 2018). Therefore, future research should focus on metabolic reprogramming in more types of cells and the interaction between them.
In summary, the pathogenesis of DKD development is complex, and therapies that target a single mechanism or pathway show little effectiveness in treating the disease. Metabolic reprogramming includes multiple steps in energy molecule processing and can lead to a broad spectrum of abnormalities. Knowing the role played by metabolic reprogramming in DKD is of great importance for understanding the pathophysiology and opens the door to a variety of novel therapeutic applications.
Author contributions
MW and YP were responsible for drafting the manuscript. YG, LT, and YL drew the table and figure. ML, CS, YM, ZC, and YW contributed to key modifications of important content. WZ and MW approved the final version to be published and agreed to be responsible for all aspects of the work.
Funding
This study was supported by funds from the National Natural Science Foundation of China (No. 81904105), the Beijing Municipal Natural Science Foundation (No. 7222271), and Capital’s Funds for Health Improvement and Research (No. 2022-4-1162).
Acknowledgments
Fundings from the three foundations are gratefully acknowledged.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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Keywords: diabetic kidney disease, metabolic reprogramming, energy metabolism, glycolysis, mitochondrial oxidative phosphorylation
Citation: Wang M, Pang Y, Guo Y, Tian L, Liu Y, Shen C, Liu M, Meng Y, Cai Z, Wang Y and Zhao W (2022) Metabolic reprogramming: A novel therapeutic target in diabetic kidney disease. Front. Pharmacol. 13:970601. doi: 10.3389/fphar.2022.970601
Received: 16 June 2022; Accepted: 01 August 2022;
Published: 02 September 2022.
Edited by:
Jianping Chen, Shenzhen Traditional Chinese Medicine Hospital, ChinaReviewed by:
Dingkun Gui, Shanghai Jiao Tong University, ChinaWei Chen, School of Medicine, Stanford University, United States
Youhua Xu, Macau University of Science and Technology, Macao, SAR China
Copyright © 2022 Wang, Pang, Guo, Tian, Liu, Shen, Liu, Meng, Cai, Wang and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Wenjing Zhao, zhaowenjing@bjzhongyi.com
†These authors have contributed equally to this work and share first authorship.