Abstract
Diabetic nephropathy (DN) is the main cause of end-stage kidney disease (ESKD). DN-related ESKD has the worst prognosis for survival compared with other causes. Due to the complex mechanisms of DN and the heterogeneous presentations, unmet needs exist for the renal outcome of diabetes mellitus. Clinical evidence for treating DN is rather solid. For example, the first Kidney Disease: Improving Global Outcomes (KDIGO) guideline was published in October 2020: KDIGO Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease. In December of 2020, the International Society of Nephrology published 60 (+1) breakthrough discoveries in nephrology. Among these breakthroughs, four important ones after 1980 were recognized, including glomerular hyperfiltration theory, renal protection by renin-angiotensin system inhibition, hypoxia-inducible factor, and sodium-glucose cotransporter 2 inhibitors. Here, we present a review on the pivotal and new mechanisms of DN from the implications of clinical studies and medications.
Keywords: chronic kidney disease, diabetic nephropathy, hypoxia, anemia, hypoxia, hypoxia-inducible factor (HIF), glomerular hyperfiltration
1. Introduction
Diabetes mellitus (DM) is the leading acquired risk factor for accelerated progression of chronic kidney disease (CKD). In the United States, DM accounts for 30% to 50% of end-stage kidney disease (ESKD) cases [1]. Patients receiving dialysis due to DM have worse survival compared with ESKD due to non-DM related causes. According to a recent study, DM with early kidney involvement shortens life expectancy by 16 years [1]. According to a National Health and Nutrition Examination Survey, United States population-based study, the progression of DM-related nephropathy is associated with higher mortality [2]. Among individuals with DM but not kidney disease, standardized mortality is up to 11.5%, compared with the control group (people without DM or kidney disease, 10-year cumulative all-cause mortality is 7.7%) [2]. Among individuals with both diabetes and kidney disease, standardized mortality reaches 31.1% with an absolute risk difference to the control group of 23.4% [2]. Therefore, prevention or treatment of diabetic nephropathy (DN) is mandatory for patients with DM.
The poor renal outcomes of DM has not improved over decades [3]. According to the American National Health Interview Survey [3], the proportions of all five complications (lower-extremity amputation, ESKD, acute myocardial infarction, stroke, and death from hyperglycemia crisis) has declined from 1990 to 2010. But the decline in ESKD remains small, and even increases among the elderly. Despite advanced clinical care, improvements in the health care system, and greater efforts in health promotion [4,5,6], ESKD cases still keep increasing. Specifically, when expressed in terms of the absolute number of cases, the annual ESKD cases grew by 32,434 between 1990 and 2010 in the United States [3]. In an analysis in which rates are expressed per 10,000 persons in the overall population, the rate of ESKD have increased by 90.9% (from 1.1 to 2.1 cases per 10,000 population) [6]. Clearly unmet needs exist for clinical care of renal outcomes for DM patients. The statistics also reflect the complex and unknown mechanisms underlying DM-related chronic kidney disease (CKD) [7]. In this review, we focused on some pivotal and new mechanisms of DN, including glomerular hyperfiltration theory, renal protection by renin-angiotensin system inhibition (RASi), hypoxia-inducible factor (HIF), and sodium-glucose cotransporter 2 inhibitors (SGLT2i). The above four mechanisms/medications have been listed as the four breakthrough discoveries in nephrology after 1980 [8].
In the guidelines from National Kidney Foundation in 2007, a new terminology to describe kidney disease attributable to DM (diabetic kidney disease, DKD) has been introduced to replace diabetic nephropathy (DN) [9,10]. DKD is a diagnosis based on clinical and laboratory findings (glomerular filtration rate (GFR) and albuminuria) [11] which, along with clinical characteristics of diabetes (such as diabetes duration and the presence of diabetic retinopathy), increases the likelihood of kidney involvement [11]. DN is the presence of a single, well-defined, identifiable kidney disease identified by progressive glomerular nephropathy directly related to diabetes [12]. DN should only be used when a patient has a biopsy confirmed nephropathy and should be accompanied by Tervaert’s classification [13]. In our present review, we preferred DN over DKD to specify the DM-related CKD.
2. From Bed to Bench: Implications from Clinical Studies
In the past 20 years, very few clinical studies have focused on the renal outcomes of DM or DM control in patients with advanced CKD or ESKD. That is why the ‘Kidney Disease: Improving Global Outcomes (KDIGO) Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease’ represents the first KDIGO guideline published in Oct, 2020 [14]. DN outcomes have changed in recent years at a pivotal time due to new therapies [11,15]. First, dipeptidyl peptidase-4 Inhibitors (DPP4i) lower albuminuria but without GFR benefits [16,17]. SGLT2is have reported better pre-specified renal outcomes, including albuminuria and GFR, from studies like the cardiovascular outcome trials (CVOTs) (empagliflozin for EMPA-REG [18], canagliflozin for CANVAS [19], and dapapagliflozin for DECLARE-TIMI 58 [20]). In addition, better renal outcomes have been demonstrated by treatment with SGLT2is (CREDENCE [21], and DAPA-CKD [22]), and third generation nonsteroidal selective mineralocorticoid receptor antagonists (MRA) (finerenone from FIDELIO-DKD [23] and FIGARO-DKD [24]). The renal outcome study from the EMPA-KIDNEY study will be published later this year [22]. Recently, the EMPA-KIDNEY study stopped early due to evidence of efficacy [25]. The SGLT2is are the only Class 1A recommendation in the KDIGO guideline, whereas RASi is listed as Class IB [14]. Atrasentan (an endothelin A receptor antagonist) reduces the risk of renal events (doubling of serum creatinine) in patients with DM and CKD as found in the SONAR trial [26]. Glucagon-like peptide-1 receptor agonists (GLP-1RA) (LEADER [27], ELIXA [28], SUSTAIN-6 [29], REWIND [30], and EXSCEL [31]) also showed renal benefits in the CVOTs [32]. In patients with type 2 DM and moderate-to-severe CKD, dulaglutide reduced decline in GFR compared to basal insulin (AWARD-7 study) [33]. A renal outcome trial (FLOW study) from Semaglutide (a new GLP-1RA) will be published in 2024. Therefore, now is a good time to review DN because of the many clinical studies (DPP4i, SGLT2i and GLP-1RA) focusing on this issue with benefits on renal outcomes. All pivotal and new mechanisms of DN are summarized in Figure 1.
3. A Paradigm Shift in Nephrology: Glomerular Hyperfiltration
3.1. Glomerular Hyperfiltration in CKD
In 1996, Barry M. Brenner put forward a concept, entitled “The hyperfiltration theory: A paradigm shift in nephrology” [34]. He proposed that glomerular hyperfiltration aggravates the progression of renal damage in most CKD, especially in DN [34]. CKD is defined as the presence of kidney damages for three or more months based on all renal insults [35]. That means reduced nephron numbers in CKD accompanied by maladaptive glomerular hemodynamic hyperfiltration [36]. This vicious cycle further threatens residual renal function.
Compensatory increased GFR is due to changes in the glomerular capillary plasma flow rate and mean glomerular capillary hydraulic pressure [34]. It is also due to adaptive afferent arteriolar vasodilation (vascular factors, including nitric oxide bioavailability, COX-2 prostanoid, kallikrein-kinin, atrial natriuretic peptide, angiotensin (1–7), hyperinsulinemia and tubular signals, including the inhibition of tubuloglomerular feedback (TGF)) and efferent arteriolar vasoconstriction (vascular factors, including angiotensin-II, thromboxane A2, endothelin-1, and reactive oxygen species) [37]. Subsequent overwork of remnant nephrons experience greater glomerular hyperfiltration, which further threatens the residual renal function. This vicious cycle needs to be stopped to prevent CKD progression.
3.2. Glomerular Hyperfiltration in DM Related CKD
Glomerular hyperfiltration is a typical and very early finding of DN [37]. Around a 25–50% elevation of GFR is noticed early in patients with type 1 DM [38]. It is defined as filtration levels between 120 and 140 mL/min/1.73 m2 [37]. Its progression triggers glomerular sclerosis [39]. Once microalbuminuria starts (traditional definition of DN—the incipient stage of DN), about half of the nephrons will have already lost. Therefore, how to stop glomerular hyperfiltration has been a hot topic since the breakthrough concept was put forward in 1996 [40]. Causes of glomerular hyperfiltration in DM include elevated RAS [39], imbalance between afferent and efferent arterioles resistance [37], and impaired TGF [41]. Insulin-like growth factor 1 [42], sorbitol [43], and advanced glycation end products [44] are also associated with glomerular hyperfiltration in DN. Recently, impaired TGF has been a target for new medications for DM, including SGLT2is and GLP1-RAs. The main physiological task of kidneys is to reabsorb as much glucose as possible so that the normal urine is glucose-free [45]. The glucose is non-protein-binding, and non-complexed with macromolecules filtered freely at glomeruli. Therefore, in patients with DM with glycosuria, the high urinary glucose should be reabsorbed by SGLT-1 (10%) and SGLT-2 (90%) in the proximal tubule. However, the enhanced tubular sodium reabsorption causes extracellular fluid volume expansion and then further leads to glomerular hyperfiltration [38,46]. The decreased sodium delivery to distal tubule by activating the TGF mechanism in the macula densa could also raise the GFR via vasodilatation of the afferent arteriole [47]. Recently, the renal benefits of SGLT2i and GLP1-RA have been demonstrated, based on restoring TGF and then stopping glomerular hyperfiltration.
3.3. Treatment of Glomerular Hyperfiltration
Treatments reducing glomerular hyperfiltration have been used to stop or prevent DN since 1980s. These include old and new therapies such as: aggressive control of blood pressure, low salt diet [48], low animal protein diet [48,49], the usage of RASi [50,51,52,53,54,55], SGLT2i [56], atrasentan (ET-1 antagonist) [26], finerenone [23,24], and GLP-1RA [57]. First, the breakthrough concept of glomerular hyperfiltration is central to the use of RASi to prevent and treat DN (through efferent arteriole vasodilation) as reported by Taguma et al. in 1985 [50]. The hallmark study was published in 1993, which showed that captopril protected against deterioration in renal function in patients with insulin-dependent diabetic nephropathy, and was significantly more effective than blood-pressure control alone [51]. Later studies like IDNT [52], RENAAL [53], IRMA-2 [54], and BENEDICT [55] all supported the renal benefit of RASis for DN patients. As a result, RASis have remained the typical and basic treatment of DN over the past 20 years. To obtain better long-term renal outcomes, clinicians should tolerate the initial reduction of GFR up to 30% [14].
In addition to RASis, other emerging pharmacological treatments have also focused on glomerular hyperfiltration. For example, SGLT-2is reduce hyperfiltration in DN by restoring TGF through afferent arteriole vasoconstriction [56]. SGLT2is inhibit sodium uptake (through SGLT2, SGLT1, and Na+/H+ exchanger isoform 3 (NHE3) transports [58]) in the proximal tubule, which leads to the prevention of serum sodium related hyperfiltration. It reduces intraglomerular pressure by 19% [59,60]. Another example is the long-acting GLP-1RA which has reported renal protection through the inhibition of NHE3 [61], which in turn reduces intraglomerular hyperfiltration. Finally, endothelin-A receptor antagonists from the SONAR study showed reduced risk of renal events in patients with DN [26]. These antagonists have vasoconstrictive effects on the efferent arterioles leading to less glomerular hyperfiltration. All the above medications used to stop glomerular hyperfiltration have an initial drop in GFR and better long-term renal outcomes.
4. Anemia in DN: Implications from HIF Stabilizer and SGLT2i
4.1. Anemia in CKD and in Particular in DM-Related CKD
Anemia is a common and major complication for CKD patients. It progresses as renal function deteriorates. Such anemia starts in CKD stage 3 and prevalence rises to 67% in stage 5 [62]. In some countries [63], the prevalence of CKD-related anemia is as high as 79.2% in stage 4, and 90.2% in stage 5. DM is a leading cause of ESKD, but no renal anemia guidelines have focused on this population (DM related CKD). Recently, a number of studies have reported that SGLT2is have renal benefits in addition to sugar control, including EMPA-REG [18], DECLARE-TIMI 58 [20], CANVAS [19], and CREDENCE [21]. The renal benefits of SGLT2is can be linked to the alleviation of renal anemia [64].
Renal anemia may develop earlier and be worse in DM-related CKD compared with non-DM-related CKD [58,65]. As reported in a cross-sectional study on DM patients by Thomas et al. up to 23% of patients have anemia [66]. Untreated CKD related anemia is associated with increased mortality and morbidity and patients with DN related anemia are at particularly increased risk [67]. The mechanism of anemia due to DN is summarized in Figure 2. Generally, all risk factors for renal anemia in the general population may also cause anemia in DN patients. These risk factors include aging kidneys, source deficiency for RBC production, and blood loss (particularly bleeding tendencies due to uremic coagulopathy, or antiplatelet related coagulopathy [68], and advanced glycation end production (AGE) related RBC deformability [69]). Impaired O2 sensing in EPO production may be due to the following: diabetic autonomic neuropathy [70], reduced stabilization of HIF-1 [71], the adverse effects of medications of RASi [72], and reactive oxidative stress (ROS) related EPO insufficiency [65]. EPO related factors are a major causes of anemia. Such factors include urinary EPO excretion [66], inflammatory cytokine (e.g., interleukin-1, tumor-necrosis factor, and interferon-γ) [73,74], and AGE related EPO resistance [75]. Based on the above issues, the onset of anemia in DN has been reported to occur sooner when compared with non-DM related CKD [65,72,76,77,78]. Moreover, anemia prevalence is higher in stage 3 CKD when compared with non-DM related CKD [63], 53.5% vs. 33.1% (p = 0.001), respectively.
4.2. The Impact of Renal Anemia on Renal Function
There is no consensus about the direct impact of renal anemia on renal function deterioration. This controversial issue is due to the multiple and complex causes of CKD, small cases numbers, short duration of follow-up, and inconsistent outcome setting [79,80,81,82,83]. In a well-defined study (only from DN-related anemia) [84], it was demonstrated that anemia due to DN is an independent predictor for progression to ESKD. When analyzed by Cox proportional hazards models [84], the baseline hemoglobin concentration was correlated with the subsequent development of ESKD, and the adjusted hazard ratio was 0.90 (95% CI 0.84–0.96, p = 0.0013). Similarly, from other studies [75,85,86], renal anemia was shown to cold contribute to the progression of renal dysfunction in DM-related CKD. In a prospective cohort study, low EPO levels could also predict faster renal function decline independently of established prognostic factors including GFR, albuminuria, and hemoglobin in DN with anemia [87]. Kuriyama et al. found that reversal of anemia by EPO can slow the progression of CKD [79]. One observational and one randomized controlled study both have identified that EPO treatment slows the onset of dialysis in DN-related anemia [82,88]. In 2016, in a study on DN animal models, EPO was reported to have suppressed the inflammatory response, along with oxidative damage in an animal model [89]. An EPO receptor activator when applied continuously reduces tubulointerstitial fibrosis in a DN animal model (db/db mouse) [90]. Therefore, the renal anemia in DN is associated with renal deterioration with a possible causal effect and the treatment of DN related anemia with EPO may slow the deterioration of DN.
4.3. Effect of SGLT2is on Renal Anemia in DN
In the CVOTs of the SGLT2is, all four SGLT2is have produced a modest increase in hematocrit (2–4%) [64]. This effect cannot fully be explained by the initial diuretic effect related to hemoconcentration. The EPO level increased after the initiation of dapagliflozin, reaching a plateau in 2 to 4 weeks [91]. A gradual increase in hemoglobin beyond week 4 indicated an EPO effect of SGLT2i. In another SGLT2i trial for heart failure (DAPA-HF) [92], dapagliflozin corrected anemia more often than placebo group and it improved heart outcomes, irrespective of anemia status at baseline. In a pooled study of 5325 patients from 14 placebo-controlled trials [93], dapagliflozin corrected anemia in 52% of patients with anemia at baseline (placebo: 26%). In a systematic review and meta-analysis [94], each SGLT2i (including canagliflozin, dapagliflozin, empagliflozin, and ipragliflozin) led to a significant increase in the hematocrit level when compared to placebo (MD 1.32%, 95% CI = 1.21–1.44, p < 0.00001, considerable heterogeneity-I2 = 99%). Therefore, SGLT2is can relieve renal anemia with solid evidence, which can reduce the progression of DN.
4.4. Two New Treatments for Renal Anemia (HIF Stabilizer and SGLT2i)
Two hallmarks of renal anemia were EPO deficiency and dysregulation of iron [95]. In current clinical practice, the optimal treatment algorithms for renal anemia are based on EPO administration and iron supplementation. However, there are many concerns about current EPO and iron therapy for renal anemia. First, patients experienced greater risk for death, adverse cardiovascular effects, and stroke when higher dose of EPO was used to target a hemoglobin level of great than 11 g/dL [96]. Second, there are also some disadvantages regarding cardiac complications and infections that result from iron over supplementation [97]. The culprit of dysregulation of iron the reduced excretion of hepcidin in CKD [98]. The increased hepcidin reduces iron absorption in the duodenum and releases iron from the macrophages, which interact with and inactivate the iron export protein ferroportin [99,100]. The cause of dysregulation of iron in CKD is due to high hepcidin without successful treatment of this problem until the administration of a HIF stabilizer.
Research from early in 2008 demonstrated that patients with ESKD living at high altitude either increase endogenous EPO production or respond better to EPO administration [101]. Altitude-induced hypoxia reduces EPO requirements in ESKD patients with treatment-refractory anemia [102]. In addition, Tibetan people with a natural prolyl hydroxylase domain (PHD2) mutation had higher blood HIF, which led to more EPO and higher blood hemoglobin [103,104]. This congenital mutation causes the Tibetan population to adapt to the chronic hypoxia of high altitude. Based on these epidemiological and genetic studies, high altitude that induces higher blood HIF is of benefit for renal anemia in patients with ESKD. Roxadustat, a small molecule HIF PHD inhibitor, is a medication to treat renal anemia. It can reversibly bind to and inhibit HIF-PHD enzymes that are responsible for the degradation of transcription factors in the HIF family under normal oxygen conditions [105]. Roxadustat can treat renal anemia in both dialysis-dependent CKD [106] and non-dialysis dependent CKD [107,108]. At least, the effect of Roxadustat on renal anemia is like EPO. Interestingly, the HIF stabilizer can target two hallmarks of renal anemia simultaneously, including increasing blood EPO levels and reducing hepcidin. From a meta-analysis and systemic review [109], roxadustat can significantly reduce hepcidin levels (−31.96 ng/mL, 95% CI (−35.05 ng/mL, −28.87 ng/mL), p < 0.00001) and ferritin (−44.82 ng/mL, 95% CI (−64.42 ng/mL, −25.23 ng/mL), p < 0.00001). This is the first time we have increased hepcidin in clinical practice. In a preclinical study [110], Enarodustat (PHD inhibitor) can activate HIF and then protect against metabolic disorders and associated kidney disease in obese, type 2 diabetic mice.
In a recent review [111], DM was found to cause hypoxia in the renal cortex, increasing oxidative stress leading to an imbalance between HIF-1α/HIF-2α. Reduced HIF-2α or increased HIF-1α further causes a reduction in EPO and dysregulation of the ferrokinetics. SGLT2is reverse the imbalance between HIF-1α/HIF-2α, consequently producing more EPO and improving iron usage. The renal benefits of SGLT2is can be partially explained by the relief of renal anemia, via balancing the HIF-1α/HIF-2α ratio. The overexpression of HIF-1α was considered as an inflammatory effect on renal injury and the activation of HIF-2α can counteract the inflammation and reduce injury in CKD [112,113]. In a preclinical study [114], an SGLT2 inhibitor (luseogliflozin) was shown to reduce the protein expression of HIF-1α expression in the human renal proximal tubular epithelial cells. Additionally, luseogliflozin also inhibited HIF-1α gene expression, including PAI-1, VEGF, GLUT1, HK2, and PKM. It also attenuated cortical tubular HIF-1α expression in db/db mice [114]. Moreover, SGLT2is can upregulate both SIRT1 and AMPK [115,116]. Increasing SIRT1 and AMPK can further suppress HIF-1α and promote HIF-2α [116,117,118].
5. Energy Demand–Generation Imbalance, Hypoxia, and Reactive Oxidative Stress
5.1. Mitochondria Dysfunction and Increased Energy Wasting in DN
Mitochondria are responsible for more than 90% of energy production, by oxidative phosphorylation, in the human body. However, mitochondrial DNA is susceptible to ROS related damage. Mitochondrial dysfunction is considered a contributing factor in many diseases, including renal disease [119] and DM [120]. Mitochondria are most abundant in the kidney, second only to the heart [121]. In the kidney, both the mitochondrial volume density [122] and Na+/K+ ATPase activity [123] are located mostly in the proximal and distal tubules. Therefore, it is reasonable that mitochondrial dysfunction causes decreased ATP production, alterations in cellular function, and the loss of renal function [124]. Risk factors of mitochondria dysfunction and energy wasting in DN are as follows [125,126]: First, high plasma glucose can directly damage renal tubular cells and then cause metabolic and cellular dysfunction [127]. Second, the overproduction of ROS are interlinked mechanisms that play important roles in the progression of DN. Hyperglycemia causes the overproduction of electron donors (nicotinamide-adenine-dinucleotide and flavin-adenine-dinucleotide) by the Krebs’ cycle, and this condition surpasses the capacity of the mitochondrial electron transport chain [128]. Subsequently, the excess electrons are transferred to oxygen, followed by increased ROS. Third, in DN, to maintain glucose-free urine, more energy is needed for sodium reabsorption in the proximal and distal tubules through mitochondrial oxidative metabolism [129]. To achieve this goal, SGLT2 and SGLT1 are over-expressed for glucose and sodium reabsorption [130], resulting in energy wasting in DN. Finally, as renal function deteriorates (accompanied by fewer viable nephrons and less energy production), the energy imbalance also worsens. Mitochondrial biogenesis declines following the progression of DN [131]. Therefore, administering compounds [132,133,134] that stimulate mitochondrial biogenesis can restore mitochondrial and renal function in DN, including AICAR (an AMPK activator) in db/db diabetic mice and ob/ob obese mice [135]. SGLT2is are thought to balance sodium and calcium homeostasis [136] and rescue mitochondrial function. SGLT2is may also reduce ATP consumption for less energy wasting by inhibiting sodium reabsorption and metabolic stress in the proximal tubular epithelial cells [129].
5.2. Renal Hypoxia and HIF in DN
Hyperglycemia results in increased oxygen consumption and decreased oxygen tension in the kidney. Diabetic rats displayed tissue hypoxia throughout the kidney, glomerular hyperfiltration, increased oxygen consumption, increased total mitochondrial leak respiration, and decreased tubular sodium transport efficiency [137]. Renal hypoxia is also a typical finding for the development of DN [138,139]. Renal blood flow accounts for 25% of cardiac output, maintaining enough renal blood flow and oxygen delivery to the kidneys. In other words, kidneys are very susceptible to mismatch between oxygen demand and supply, which can cause progression of DN [140].
According to a preclinical study, renal hypoxia can be identified much earlier than pathological changes of DN [141]. Renal hypoxia precedes albuminuria in type 1 diabetic mice [141]. In the early stage of DN, hypoxia triggers HIF-1α production, followed by increased inflammatory and fibrotic molecules [142], including TGFβ and TNF. In addition to renal hypoxia, DM is notorious for AGE-related, increased ROS [143]. The increase in ROS also triggers HIF-1α production. In a recent review [144], the role of renal hypoxia and ROS in the pathogenesis of DN was reported and this condition can be reversed by SGLT2i. SGLT2i blocks HIF-1α related hypoxia and ROS associated with renal fibrosis.
Blood oxygenation level dependent magnetic resonance imaging (BOLD-MRI) was used to study renal hypoxia in human study since 1990s [145]. This measurement assessed a lower PO2 in the renal cortex in DN compared to healthy population [146]. R2* ratio between the medulla and cortex increased in the early stage of diabetes and decreased along with the progression of DN [146]. Additionally, the effect of SGLT2is on renal hypoxia can be detected in mathematical modeling [129,146]. Bessho et al. found that luseogliflozin attenuated cortical tubular HIF-1α expression, tubular injury, and interstitial fibronectin in db/db mice [114]. Luseogliflozin also inhibits hypoxia-induced HIF-1α accumulation by inhibiting mitochondrial oxygen consumption [114]. The SGLT2 inhibitors may protect DNs by targeting the relief of renal hypoxia related injury.
6. Proinflammatory and Profibrotic Pathways: Interplay between HIF-1α and HIF-2α
The usage of SGLT2i or HIF stabilizers may be associated with suppressed oxidative stress and proinflammatory/profibrotic pathways. The result is amelioration of cardiac, vascular, and renal diseases [121]. In a pre-clinical study [147], stable expression of HIF-1α significantly upregulated α-smooth muscle actin expression, and reduced the E-cadherin expression in HK-2 cells during ischemia/reperfusion injury. It then induced epithelial–mesenchymal transition in renal tubular epithelial cells, followed by renal fibrosis. In another study of murine models of ischemia/reperfusion injury and unilateral ureteral obstruction [148], the increased expression of HIF-1α in tubular epithelial cells was associated with selective shedding of microRNA-23a (miRNA-23a)-enriched exosomes in vivo and systemic inhibition of miRNA-23a prior to ischemia/reperfusion injury attenuated by tubulointerstitial inflammation. The HIF-1α-dependent release of miRNA-23a-enriched exosomes from hypoxic tubular epithelial cells stimulates macrophages to promote tubulointerstitial inflammation. In another animal model of lupus nephritis [149], HIF-1α promoted mesangial cell growth via the induction of proliferation and inhibition of apoptosis, and then played an important role in the pathogenesis.
As for DN, in an animal model of type 1 DN [150], OVE26, HIF-1α inhibitor, attenuated kidney glomerular hypertrophy, mesangial matrix expansion, extracellular matrix accumulation, and urinary albumin excretion. This study suggested that pharmacological inhibition of HIF-1α could improve the clinical manifestation of DN [150]. In an animal model of type 2 DN (db/db mice) [151], the small GTPase Rho and its effector Rho-kinase was activated under hypoxic conditions, and caused diabetic glomerulosclerosis via HIF-1α accumulation. Taken together, persistent high HIF-1α will activate inflammation-related cytokines, profibrotic gene transcription, macrophage infiltration, and collagen deposition, mesangial cell proliferation, and tubulointerstitial inflammation in DN. In addition to HIF-1α, HIF-2α is also important for renal injury. HIF-1α is ubiquitously expressed in the human body, and HIF-2α is detected mostly in vascular endothelial cells during embryonic development [152]. HIF-2α mRNA has also been detected in kidney fibroblasts, liver hepatocytes, and epithelial cells of the intestinal lumen [153,154]. HIF-2α, rather than HIF-1α, is associated with erythropoietin [155,156]. In spontaneously hypertensive rats [157], metformin reduced proteinuria in vivo and increased VEGF-A production in rat kidneys and cultured rat podocytes, probably by activating the HIF-2α-VEGF signaling pathway. Upregulated HIF-1α and downregulated HIF-2α are associated with the progression of DN [121]. The imbalance between HIF-1α and HIF-2α is summarized in Figure 3.
Potential treatment-associated HIF-related proinflammatory and profibrotic pathways were studies recently. Cobalt inhibited HIF degeneration [158] and relieved renal injury in an obese, hypertensive type 2 diabetes rat model [159]. In an animal model, FG-4592 (Roxadustat) markedly ameliorated cisplatin-induced kidney injury as evidenced by the improvement in renal function and kidney morphology [160]. Pretreatment with roxadustat also attenuated folic acid-induced kidney damage by antiferroptosis through the Akt/GSK-3 β/Nrf2 pathway [161]. In addition, roxadustat protected against the renal ischemia/reperfusion injury by suppressing inflammation [162]. Therefore, the HIF-related pathway is an emerging target mechanism for DN in the future. SGLT2is can normalized the interplay between HIF-1α and HIF-2α (inhibitor HIF-1α and stimulate HIF-2α) to stop the progression of DN [114,117,156].
7. Conclusions
There are still unmet needs for the treatment of DN. Since 1980, four breakthrough discoveries have been made in the field of nephrology [8]: glomerular hyperfiltration theory, RASi, HIF, and SGLT2i. Pivotal and novel mechanisms are emerging for DN, including mechanisms of glomerular hyperfiltration, renal anemia, hypoxia, and energy imbalance. In addition to RASi, HIF stabilizer, and SGLT2i are believed to be paradigm shifts in DN treatment and prevention.
Author Contributions
Conceptualization, J.-L.T., C.-H.C., M.-J.W. and S.-F.T.; methodology, J.-L.T. and S.-F.T.; investigation, J.-L.T., C.-H.C., M.-J.W. and S.-F.T.; resources, C.-H.C. and S.-F.T.; writing—original draft preparation, J.-L.T., C.-H.C., M.-J.W. and S.-F.T.; writing—review and editing, S.-F.T.; funding acquisition, C.-H.C., M.-J.W. and S.-F.T. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Taichung Veterans General Hospital grand number TCVGH-1093605D, TCVGH-1103602C, and TCVGH-1103601D.
Institutional Review Board Statement
Ethical review and approval were waived for this study due to review article without any intervention.
Informed Consent Statement
Patient consent was waived due to review article without any intervention.
Data Availability Statement
Not available.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Umanath K., Lewis J.B. Update on Diabetic Nephropathy: Core Curriculum 2018. Am. J. Kidney Dis. 2018;71:884–895. doi: 10.1053/j.ajkd.2017.10.026. [DOI] [PubMed] [Google Scholar]
- 2.Afkarian M., Sachs M.C., Kestenbaum B., Hirsch I.B., Tuttle K.R., Himmelfarb J., de Boer I.H. Kidney disease and increased mortality risk in type 2 diabetes. J. Am. Soc. Nephrol. 2013;24:302–308. doi: 10.1681/ASN.2012070718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Gregg E.W., Li Y., Wang J., Burrows N.R., Ali M.K., Rolka D., Williams D.E., Geiss L. Changes in diabetes-related complications in the United States, 1990–2010. N. Engl. J. Med. 2014;370:1514–1523. doi: 10.1056/NEJMoa1310799. [DOI] [PubMed] [Google Scholar]
- 4.Tricco A.C., Ivers N.M., Grimshaw J.M., Moher D., Turner L., Galipeau J., Halperin I., Vachon B., Ramsay T., Manns B., et al. Effectiveness of quality improvement strategies on the management of diabetes: A systematic review and meta-analysis. Lancet. 2012;379:2252–2261. doi: 10.1016/S0140-6736(12)60480-2. [DOI] [PubMed] [Google Scholar]
- 5.Ali M.K., Bullard K.M., Saaddine J.B., Cowie C.C., Imperatore G., Gregg E.W. Achievement of goals in U.S. diabetes care, 1999–2010. N. Engl. J. Med. 2013;368:1613–1624. doi: 10.1056/NEJMsa1213829. [DOI] [PubMed] [Google Scholar]
- 6.Ford E.S., Ajani U.A., Croft J.B., Critchley J.A., Labarthe D.R., Kottke T.E., Giles W.H., Capewell S. Explaining the decrease in U.S. deaths from coronary disease, 1980–2000. N. Engl. J. Med. 2007;356:2388–2398. doi: 10.1056/NEJMsa053935. [DOI] [PubMed] [Google Scholar]
- 7.Bockenhauer D., Bichet D.G. Pathophysiology, diagnosis and management of nephrogenic diabetes insipidus. Nat. Rev. Nephrol. 2015;11:576–588. doi: 10.1038/nrneph.2015.89. [DOI] [PubMed] [Google Scholar]
- 8.Hirakawa Y., Nangaku M., Jha V., Levin A. Sixty (plus one) breakthrough discoveries in nephrology. Kidney Int. 2020;98:1362–1366. doi: 10.1016/j.kint.2020.09.019. [DOI] [PubMed] [Google Scholar]
- 9.Nelson R.G., Tuttle K.R. The new KDOQI clinical practice guidelines and clinical practice recommendations for diabetes and CKD. Blood Purif. 2007;25:112–114. doi: 10.1159/000096407. [DOI] [PubMed] [Google Scholar]
- 10.Mora-Fernandez C., Dominguez-Pimentel V., de Fuentes M.M., Gorriz J.L., Martinez-Castelao A., Navarro-Gonzalez J.F. Diabetic kidney disease: From physiology to therapeutics. J. Physiol. 2014;592:3997–4012. doi: 10.1113/jphysiol.2014.272328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Alicic R.Z., Rooney M.T., Tuttle K.R. Diabetic Kidney Disease: Challenges, Progress, and Possibilities. Clin. J. Am. Soc. Nephrol. 2017;12:2032–2045. doi: 10.2215/CJN.11491116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Piccoli G.B., Grassi G., Cabiddu G., Nazha M., Roggero S., Capizzi I., De Pascale A., Priola A.M., Di Vico C., Maxia S., et al. Diabetic Kidney Disease: A Syndrome Rather Than a Single Disease. Rev. Diabet. Stud. 2015;12:87–109. doi: 10.1900/RDS.2015.12.87. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Tervaert T.W., Mooyaart A.L., Amann K., Cohen A.H., Cook H.T., Drachenberg C.B., Ferrario F., Fogo A.B., Haas M., de Heer E., et al. Pathologic classification of diabetic nephropathy. J. Am. Soc. Nephrol. 2010;21:556–563. doi: 10.1681/ASN.2010010010. [DOI] [PubMed] [Google Scholar]
- 14.de Boer I.H., Caramori M.L., Chan J.C.N., Heerspink H.J.L., Hurst C., Khunti K., Liew A., Michos E.D., Navaneethan S.D., Olowu W.A., et al. Executive summary of the 2020 KDIGO Diabetes Management in CKD Guideline: Evidence-based advances in monitoring and treatment. Kidney Int. 2020;98:839–848. doi: 10.1016/j.kint.2020.06.024. [DOI] [PubMed] [Google Scholar]
- 15.Afkarian M., Zelnick L.R., Hall Y.N., Heagerty P.J., Tuttle K., Weiss N.S., de Boer I.H. Clinical Manifestations of Kidney Disease Among US Adults With Diabetes, 1988–2014. JAMA. 2016;316:602–610. doi: 10.1001/jama.2016.10924. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Scirica B.M., Bhatt D.L., Braunwald E., Steg P.G., Davidson J., Hirshberg B., Ohman P., Frederich R., Wiviott S.D., Hoffman E.B., et al. Saxagliptin and cardiovascular outcomes in patients with type 2 diabetes mellitus. N. Engl. J. Med. 2013;369:1317–1326. doi: 10.1056/NEJMoa1307684. [DOI] [PubMed] [Google Scholar]
- 17.Groop P.H., Cooper M.E., Perkovic V., Emser A., Woerle H.J., von Eynatten M. Linagliptin lowers albuminuria on top of recommended standard treatment in patients with type 2 diabetes and renal dysfunction. Diabetes Care. 2013;36:3460–3468. doi: 10.2337/dc13-0323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Zinman B., Wanner C., Lachin J.M., Fitchett D., Bluhmki E., Hantel S., Mattheus M., Devins T., Johansen O.E., Woerle H.J., et al. Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes. N. Engl. J. Med. 2015;373:2117–2128. doi: 10.1056/NEJMoa1504720. [DOI] [PubMed] [Google Scholar]
- 19.Neal B., Perkovic V., Matthews D.R. Canagliflozin and Cardiovascular and Renal Events in Type 2 Diabetes. N. Engl. J. Med. 2017;377:2099. doi: 10.1056/NEJMoa1611925. [DOI] [PubMed] [Google Scholar]
- 20.Wiviott S.D., Raz I., Sabatine M.S. Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes. Reply. N. Engl. J. Med. 2019;380:1881–1882. doi: 10.1056/NEJMoa1812389. [DOI] [PubMed] [Google Scholar]
- 21.Perkovic V., Jardine M.J., Neal B., Bompoint S., Heerspink H.J.L., Charytan D.M., Edwards R., Agarwal R., Bakris G., Bull S., et al. Canagliflozin and Renal Outcomes in Type 2 Diabetes and Nephropathy. N. Engl. J. Med. 2019;380:2295–2306. doi: 10.1056/NEJMoa1811744. [DOI] [PubMed] [Google Scholar]
- 22.Wheeler D.C., Stefánsson B.V., Jongs N., Chertow G.M., Greene T., Hou F.F., McMurray J.J.V., Correa-Rotter R., Rossing P., Toto R.D., et al. Effects of dapagliflozin on major adverse kidney and cardiovascular events in patients with diabetic and non-diabetic chronic kidney disease: A prespecified analysis from the DAPA-CKD trial. Lancet Diabetes Endocrinol. 2021;9:22–31. doi: 10.1016/S2213-8587(20)30369-7. [DOI] [PubMed] [Google Scholar]
- 23.Bakris G.L., Agarwal R., Anker S.D., Pitt B., Ruilope L.M., Rossing P., Kolkhof P., Nowack C., Schloemer P., Joseph A., et al. Effect of Finerenone on Chronic Kidney Disease Outcomes in Type 2 Diabetes. N. Engl. J. Med. 2020;383:2219–2229. doi: 10.1056/NEJMoa2025845. [DOI] [PubMed] [Google Scholar]
- 24.Ruilope L.M., Agarwal R., Anker S.D., Bakris G.L., Filippatos G., Nowack C., Kolkhof P., Joseph A., Mentenich N., Pitt B. Design and Baseline Characteristics of the Finerenone in Reducing Cardiovascular Mortality and Morbidity in Diabetic Kidney Disease Trial. Am. J. Nephrol. 2019;50:345–356. doi: 10.1159/000503712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.EMPA-KIDNEY Trial Stops early Due to Evidence of Efficacy. [(accessed on 1 March 2021)]. Available online: https://www.empakidney.org/news/empa-kidney-trial-stops-early-due-to-evidence-of-efficacy.
- 26.Heerspink H.J.L., Parving H.H., Andress D.L., Bakris G., Correa-Rotter R., Hou F.F., Kitzman D.W., Kohan D., Makino H., McMurray J.J.V., et al. Atrasentan and renal events in patients with type 2 diabetes and chronic kidney disease (SONAR): A double-blind, randomised, placebo-controlled trial. Lancet. 2019;393:1937–1947. doi: 10.1016/S0140-6736(19)30772-X. [DOI] [PubMed] [Google Scholar]
- 27.Marso S.P., Daniels G.H., Brown-Frandsen K., Kristensen P., Mann J.F., Nauck M.A., Nissen S.E., Pocock S., Poulter N.R., Ravn L.S., et al. Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes. N. Engl. J. Med. 2016;375:311–322. doi: 10.1056/NEJMoa1603827. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Pfeffer M.A., Claggett B., Diaz R., Dickstein K., Gerstein H.C., Kober L.V., Lawson F.C., Ping L., Wei X., Lewis E.F., et al. Lixisenatide in Patients with Type 2 Diabetes and Acute Coronary Syndrome. N. Engl. J. Med. 2015;373:2247–2257. doi: 10.1056/NEJMoa1509225. [DOI] [PubMed] [Google Scholar]
- 29.Marso S.P., Bain S.C., Consoli A., Eliaschewitz F.G., Jodar E., Leiter L.A., Lingvay I., Rosenstock J., Seufert J., Warren M.L., et al. Semaglutide and Cardiovascular Outcomes in Patients with Type 2 Diabetes. N. Engl. J. Med. 2016;375:1834–1844. doi: 10.1056/NEJMoa1607141. [DOI] [PubMed] [Google Scholar]
- 30.Gerstein H.C., Colhoun H.M., Dagenais G.R., Diaz R., Lakshmanan M., Pais P., Probstfield J., Riesmeyer J.S., Riddle M.C., Rydén L., et al. Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): A double-blind, randomised placebo-controlled trial. Lancet. 2019;394:121–130. doi: 10.1016/S0140-6736(19)31149-3. [DOI] [PubMed] [Google Scholar]
- 31.Holman R.R., Bethel M.A., Mentz R.J., Thompson V.P., Lokhnygina Y., Buse J.B., Chan J.C., Choi J., Gustavson S.M., Iqbal N., et al. Effects of Once-Weekly Exenatide on Cardiovascular Outcomes in Type 2 Diabetes. N. Engl. J. Med. 2017;377:1228–1239. doi: 10.1056/NEJMoa1612917. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Cefalu W.T., Kaul S., Gerstein H.C., Holman R.R., Zinman B., Skyler J.S., Green J.B., Buse J.B., Inzucchi S.E., Leiter L.A., et al. Cardiovascular Outcomes Trials in Type 2 Diabetes: Where Do We Go from Here? Reflections from a Diabetes Care Editors’ Expert Forum. Diabetes Care. 2018;41:14–31. doi: 10.2337/dci17-0057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Tuttle K.R., Lakshmanan M.C., Rayner B., Busch R.S., Zimmermann A.G., Woodward D.B., Botros F.T. Dulaglutide versus insulin glargine in patients with type 2 diabetes and moderate-to-severe chronic kidney disease (AWARD-7): A multicentre, open-label, randomised trial. Lancet Diabetes Endocrinol. 2018;6:605–617. doi: 10.1016/S2213-8587(18)30104-9. [DOI] [PubMed] [Google Scholar]
- 34.Brenner B.M., Lawler E.V., Mackenzie H.S. The hyperfiltration theory: A paradigm shift in nephrology. Kidney Int. 1996;49:1774–1777. doi: 10.1038/ki.1996.265. [DOI] [PubMed] [Google Scholar]
- 35.Decreased G. Chapter 1: Definition and classification of CKD. Kidney Int. Suppl. 2013;3:19–62. doi: 10.1038/kisup.2012.64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Brenner B.M., Meyer T.W., Hostetter T.H. Dietary protein intake and the progressive nature of kidney disease: The role of hemodynamically mediated glomerular injury in the pathogenesis of progressive glomerular sclerosis in aging, renal ablation, and intrinsic renal disease. N. Engl. J. Med. 1982;307:652–659. doi: 10.1056/NEJM198209093071104. [DOI] [PubMed] [Google Scholar]
- 37.Tonneijck L., Muskiet M.H., Smits M.M., van Bommel E.J., Heerspink H.J., van Raalte D.H., Joles J.A. Glomerular Hyperfiltration in Diabetes: Mechanisms, Clinical Significance, and Treatment. J. Am. Soc. Nephrol. 2017;28:1023–1039. doi: 10.1681/ASN.2016060666. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Bank N. Mechanisms of diabetic hyperfiltration. Kidney Int. 1991;40:792–807. doi: 10.1038/ki.1991.277. [DOI] [PubMed] [Google Scholar]
- 39.Hostetter T.H. Hyperfiltration and glomerulosclerosis. Semin. Nephrol. 2003;23:194–199. doi: 10.1053/snep.2003.50017. [DOI] [PubMed] [Google Scholar]
- 40.Muskiet M.H.A., Wheeler D.C., Heerspink H.J.L. New pharmacological strategies for protecting kidney function in type 2 diabetes. Lancet Diabetes Endocrinol. 2019;7:397–412. doi: 10.1016/S2213-8587(18)30263-8. [DOI] [PubMed] [Google Scholar]
- 41.Vallon V., Komers R. Pathophysiology of the diabetic kidney. Compr. Physiol. 2011;1:1175–1232. doi: 10.1002/cphy.c100049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Hirschberg R., Kopple J.D. The growth hormone-insulin-like growth factor I axis and renal glomerular function. J. Am. Soc. Nephrol. 1992;2:1417–1422. doi: 10.1681/ASN.V291417. [DOI] [PubMed] [Google Scholar]
- 43.Passariello N., Sepe J., Marrazzo G., De Cicco A., Peluso A., Pisano M.C., Sgambato S., Tesauro P., D’Onofrio F. Effect of aldose reductase inhibitor (tolrestat) on urinary albumin excretion rate and glomerular filtration rate in IDDM subjects with nephropathy. Diabetes Care. 1993;16:789–795. doi: 10.2337/diacare.16.5.789. [DOI] [PubMed] [Google Scholar]
- 44.Vlassara H. Protein glycation in the kidney: Role in diabetes and aging. Kidney Int. 1996;49:1795–1804. doi: 10.1038/ki.1996.270. [DOI] [PubMed] [Google Scholar]
- 45.Triplitt C.L. Understanding the kidneys’ role in blood glucose regulation. Am. J. Manag. Care. 2012;18((Suppl. S1)):S11. [PubMed] [Google Scholar]
- 46.Vallon V., Blantz R.C., Thomson S. Glomerular hyperfiltration and the salt paradox in early [corrected] type 1 diabetes mellitus: A tubulo-centric view. J. Am. Soc. Nephrol. 2003;14:530–537. doi: 10.1097/01.ASN.0000051700.07403.27. [DOI] [PubMed] [Google Scholar]
- 47.Hannedouche T.P., Delgado A.G., Gnionsahe D.A., Boitard C., Lacour B., Grünfeld J.P. Renal hemodynamics and segmental tubular reabsorption in early type 1 diabetes. Kidney Int. 1990;37:1126–1133. doi: 10.1038/ki.1990.95. [DOI] [PubMed] [Google Scholar]
- 48.Kalantar-Zadeh K., Fouque D. Nutritional Management of Chronic Kidney Disease. N. Engl. J. Med. 2017;377:1765–1776. doi: 10.1056/NEJMra1700312. [DOI] [PubMed] [Google Scholar]
- 49.Garneata L., Stancu A., Dragomir D., Stefan G., Mircescu G. Ketoanalogue-Supplemented Vegetarian Very Low-Protein Diet and CKD Progression. J. Am. Soc. Nephrol. 2016;27:2164–2176. doi: 10.1681/ASN.2015040369. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Taguma Y., Kitamoto Y., Futaki G., Ueda H., Monma H., Ishizaki M., Takahashi H., Sekino H., Sasaki Y. Effect of captopril on heavy proteinuria in azotemic diabetics. N. Engl. J. Med. 1985;313:1617–1620. doi: 10.1056/NEJM198512263132601. [DOI] [PubMed] [Google Scholar]
- 51.Lewis E.J., Hunsicker L.G., Bain R.P., Rohde R.D. The effect of angiotensin-converting-enzyme inhibition on diabetic nephropathy. The Collaborative Study Group. N. Engl. J. Med. 1993;329:1456–1462. doi: 10.1056/NEJM199311113292004. [DOI] [PubMed] [Google Scholar]
- 52.Lewis E.J., Hunsicker L.G., Clarke W.R., Berl T., Pohl M.A., Lewis J.B., Ritz E., Atkins R.C., Rohde R., Raz I. Renoprotective effect of the angiotensin-receptor antagonist irbesartan in patients with nephropathy due to type 2 diabetes. N. Engl. J. Med. 2001;345:851–860. doi: 10.1056/NEJMoa011303. [DOI] [PubMed] [Google Scholar]
- 53.Brenner B.M., Cooper M.E., de Zeeuw D., Keane W.F., Mitch W.E., Parving H.H., Remuzzi G., Snapinn S.M., Zhang Z., Shahinfar S. Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. N. Engl. J. Med. 2001;345:861–869. doi: 10.1056/NEJMoa011161. [DOI] [PubMed] [Google Scholar]
- 54.Parving H.H., Lehnert H., Bröchner-Mortensen J., Gomis R., Andersen S., Arner P. The effect of irbesartan on the development of diabetic nephropathy in patients with type 2 diabetes. N. Engl. J. Med. 2001;345:870–878. doi: 10.1056/NEJMoa011489. [DOI] [PubMed] [Google Scholar]
- 55.Ruggenenti P., Fassi A., Ilieva A.P., Bruno S., Iliev I.P., Brusegan V., Rubis N., Gherardi G., Arnoldi F., Ganeva M., et al. Preventing microalbuminuria in type 2 diabetes. N. Engl. J. Med. 2004;351:1941–1951. doi: 10.1056/NEJMoa042167. [DOI] [PubMed] [Google Scholar]
- 56.American Diabetes Association Erratum. Classification and diagnosis of diabetes. Section 2. In Standards of Medical Care in Diabetes-2016. Diabetes Care. 2016;39((Suppl. S1)):1653. doi: 10.2337/dc16-er09. [DOI] [PubMed] [Google Scholar]
- 57.van Baar M.J.B., van der Aart A.B., Hoogenberg K., Joles J.A., Heerspink H.J.L., van Raalte D.H. The incretin pathway as a therapeutic target in diabetic kidney disease: A clinical focus on GLP-1 receptor agonists. Ther. Adv. Endocrinol. Metab. 2019;10:2042018819865398. doi: 10.1177/2042018819865398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Pessoa T.D., Campos L.C., Carraro-Lacroix L., Girardi A.C., Malnic G. Functional role of glucose metabolism, osmotic stress, and sodium-glucose cotransporter isoform-mediated transport on Na+/H+ exchanger isoform 3 activity in the renal proximal tubule. J. Am. Soc. Nephrol. 2014;25:2028–2039. doi: 10.1681/ASN.2013060588. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Cherney D.Z., Perkins B.A., Soleymanlou N., Maione M., Lai V., Lee A., Fagan N.M., Woerle H.J., Johansen O.E., Broedl U.C., et al. Renal hemodynamic effect of sodium-glucose cotransporter 2 inhibition in patients with type 1 diabetes mellitus. Circulation. 2014;129:587–597. doi: 10.1161/CIRCULATIONAHA.113.005081. [DOI] [PubMed] [Google Scholar]
- 60.Skrtić M., Yang G.K., Perkins B.A., Soleymanlou N., Lytvyn Y., von Eynatten M., Woerle H.J., Johansen O.E., Broedl U.C., Hach T., et al. Characterisation of glomerular haemodynamic responses to SGLT2 inhibition in patients with type 1 diabetes and renal hyperfiltration. Diabetologia. 2014;57:2599–2602. doi: 10.1007/s00125-014-3396-4. [DOI] [PubMed] [Google Scholar]
- 61.Muskiet M.H., Smits M.M., Morsink L.M., Diamant M. The gut-renal axis: Do incretin-based agents confer renoprotection in diabetes? Nat. Rev. Nephrol. 2014;10:88–103. doi: 10.1038/nrneph.2013.272. [DOI] [PubMed] [Google Scholar]
- 62.Astor B.C., Muntner P., Levin A., Eustace J.A., Coresh J. Association of kidney function with anemia: The Third National Health and Nutrition Examination Survey (1988–1994) Arch. Intern. Med. 2002;162:1401–1408. doi: 10.1001/archinte.162.12.1401. [DOI] [PubMed] [Google Scholar]
- 63.Li Y., Shi H., Wang W.M., Peng A., Jiang G.R., Zhang J.Y., Ni Z.H., He L.Q., Niu J.Y., Wang N.S., et al. Prevalence, awareness, and treatment of anemia in Chinese patients with nondialysis chronic kidney disease: First multicenter, cross-sectional study. Medicine. 2016;95:e3872. doi: 10.1097/MD.0000000000003872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Sano M., Goto S. Possible Mechanism of Hematocrit Elevation by Sodium Glucose Cotransporter 2 Inhibitors and Associated Beneficial Renal and Cardiovascular Effects. Circulation. 2019;139:1985–1987. doi: 10.1161/CIRCULATIONAHA.118.038881. [DOI] [PubMed] [Google Scholar]
- 65.Singh D.K., Winocour P., Farrington K. Erythropoietic stress and anemia in diabetes mellitus. Nat. Rev. Endocrinol. 2009;5:204–210. doi: 10.1038/nrendo.2009.17. [DOI] [PubMed] [Google Scholar]
- 66.Thomas M.C., MacIsaac R.J., Tsalamandris C., Power D., Jerums G. Unrecognized anemia in patients with diabetes: A cross-sectional survey. Diabetes Care. 2003;26:1164–1169. doi: 10.2337/diacare.26.4.1164. [DOI] [PubMed] [Google Scholar]
- 67.Stephenson J.M., Kenny S., Stevens L.K., Fuller J.H., Lee E. Proteinuria and mortality in diabetes: The WHO Multinational Study of Vascular Disease in Diabetes. Diabet. Med. A J. Br. Diabet. Assoc. 1995;12:149–155. doi: 10.1111/j.1464-5491.1995.tb00446.x. [DOI] [PubMed] [Google Scholar]
- 68.Lin X.H., Lin C.C., Wang Y.J., Luo J.C., Young S.H., Chen P.H., Hou M.C., Lee F.Y. Risk factors of the peptic ulcer bleeding in aging uremia patients under regular hemodialysis. J. Chin. Med. Assoc. 2018;81:1027–1032. doi: 10.1016/j.jcma.2018.03.007. [DOI] [PubMed] [Google Scholar]
- 69.Miller J.A., Gravallese E., Bunn H.F. Nonenzymatic glycosylation of erythrocyte membrane proteins. Relevance to diabetes. J. Clin. Investig. 1980;65:896–901. doi: 10.1172/JCI109743. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Bosman D.R., Osborne C.A., Marsden J.T., Macdougall I.C., Gardner W.N., Watkins P.J. Erythropoietin response to hypoxia in patients with diabetic autonomic neuropathy and non-diabetic chronic renal failure. Diabet. Med. A J. Br. Diabet. Assoc. 2002;19:65–69. doi: 10.1046/j.1464-5491.2002.00634.x. [DOI] [PubMed] [Google Scholar]
- 71.Higgins D.F., Biju M.P., Akai Y., Wutz A., Johnson R.S., Haase V.H. Hypoxic induction of Ctgf is directly mediated by Hif-1. Am. J. Physiol. Renal Physiol. 2004;287:F1223–F1232. doi: 10.1152/ajprenal.00245.2004. [DOI] [PubMed] [Google Scholar]
- 72.Grossman C., Dovrish Z., Koren-Morag N., Bornstein G., Leibowitz A. Diabetes mellitus with normal renal function is associated with anaemia. Diabetes Metab. Res. Rev. 2014;30:291–296. doi: 10.1002/dmrr.2491. [DOI] [PubMed] [Google Scholar]
- 73.Means R.T., Jr., Krantz S.B. Progress in understanding the pathogenesis of the anemia of chronic disease. Blood. 1992;80:1639–1647. doi: 10.1182/blood.V80.7.1639.1639. [DOI] [PubMed] [Google Scholar]
- 74.Dai C.H., Price J.O., Brunner T., Krantz S.B. Fas ligand is present in human erythroid colony-forming cells and interacts with Fas induced by interferon gamma to produce erythroid cell apoptosis. Blood. 1998;91:1235–1242. doi: 10.1182/blood.V91.4.1235. [DOI] [PubMed] [Google Scholar]
- 75.Thomas M.C., Tsalamandris C., Macisaac R., Jerums G. Functional erythropoietin deficiency in patients with Type 2 diabetes and anaemia. Diabet. Med. A J. Br. Diabet. Assoc. 2006;23:502–509. doi: 10.1111/j.1464-5491.2006.01829.x. [DOI] [PubMed] [Google Scholar]
- 76.Loutradis C., Skodra A., Georgianos P., Tolika P., Alexandrou D., Avdelidou A., Sarafidis P.A. Diabetes mellitus increases the prevalence of anemia in patients with chronic kidney disease: A nested case-control study. World J. Nephrol. 2016;5:358–366. doi: 10.5527/wjn.v5.i4.358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Idris I., Tohid H., Muhammad N.A., MR A.R., Mohd Ahad A., Ali N., Sharifuddin N., Aris J.H. Anaemia among primary care patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD): A multicentred cross-sectional study. BMJ Open. 2018;8:e025125. doi: 10.1136/bmjopen-2018-025125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Feteh V.F., Choukem S.P., Kengne A.P., Nebongo D.N., Ngowe-Ngowe M. Anemia in type 2 diabetic patients and correlation with kidney function in a tertiary care sub-Saharan African hospital: A cross-sectional study. BMC Nephrol. 2016;17:29. doi: 10.1186/s12882-016-0247-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Kuriyama S., Tomonari H., Yoshida H., Hashimoto T., Kawaguchi Y., Sakai O. Reversal of anemia by erythropoietin therapy retards the progression of chronic renal failure, especially in nondiabetic patients. Nephron. 1997;77:176–185. doi: 10.1159/000190270. [DOI] [PubMed] [Google Scholar]
- 80.The US Recombinant Human Erythropoietin Predialysis Study Group Double-blind, placebo-controlled study of the therapeutic use of recombinant human erythropoietin for anemia associated with chronic renal failure in predialysis patients. Am. J. Kidney Dis. 1991;18:50–59. doi: 10.1016/S0272-6386(12)80290-3. [DOI] [PubMed] [Google Scholar]
- 81.Graf H. Effectiveness and safety of recombinant human erythropoietin in predialysis patients. Austrian Multicenter Study Group of r-HuEPO in Predialysis Patients. Nephron. 1992;61:399–403. doi: 10.1159/000186956. [DOI] [PubMed] [Google Scholar]
- 82.Jungers P., Choukroun G., Oualim Z., Robino C., Nguyen A.T., Man N.K. Beneficial influence of recombinant human erythropoietin therapy on the rate of progression of chronic renal failure in predialysis patients. Nephrol. Dial. Transplant. 2001;16:307–312. doi: 10.1093/ndt/16.2.307. [DOI] [PubMed] [Google Scholar]
- 83.Kleinman K.S., Schweitzer S.U., Perdue S.T., Bleifer K.H., Abels R.I. The use of recombinant human erythropoietin in the correction of anemia in predialysis patients and its effect on renal function: A double-blind, placebo-controlled trial. Am. J. Kidney Dis. 1989;14:486–495. doi: 10.1016/S0272-6386(89)80149-0. [DOI] [PubMed] [Google Scholar]
- 84.Mohanram A., Zhang Z., Shahinfar S., Keane W.F., Brenner B.M., Toto R.D. Anemia and end-stage renal disease in patients with type 2 diabetes and nephropathy. Kidney Int. 2004;66:1131–1138. doi: 10.1111/j.1523-1755.2004.00863.x. [DOI] [PubMed] [Google Scholar]
- 85.Rossert J., Froissart M. Role of anemia in progression of chronic kidney disease. Semin. Nephrol. 2006;26:283–289. doi: 10.1016/j.semnephrol.2006.05.004. [DOI] [PubMed] [Google Scholar]
- 86.Mohanram A., Toto R.D. Outcome studies in diabetic nephropathy. Semin. Nephrol. 2003;23:255–271. doi: 10.1016/S0270-9295(03)00061-5. [DOI] [PubMed] [Google Scholar]
- 87.Fujita Y., Doi Y., Hamano T., Hatazaki M., Umayahara Y., Isaka Y., Tsubakihara Y. Low erythropoietin levels predict faster renal function decline in diabetic patients with anemia: A prospective cohort study. Sci. Rep. 2019;9:14871. doi: 10.1038/s41598-019-51207-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Gouva C., Nikolopoulos P., Ioannidis J.P., Siamopoulos K.C. Treating anemia early in renal failure patients slows the decline of renal function: A randomized controlled trial. Kidney Int. 2004;66:753–760. doi: 10.1111/j.1523-1755.2004.00797.x. [DOI] [PubMed] [Google Scholar]
- 89.Eren Z., Gunal M.Y., Ari E., Coban J., Cakalagaoglu F., Caglayan B., Beker M.C., Akdeniz T., Yanikkaya G., Kilic E., et al. Pleiotropic and Renoprotective Effects of Erythropoietin Beta on Experimental Diabetic Nephropathy Model. Nephron. 2016;132:292–300. doi: 10.1159/000444649. [DOI] [PubMed] [Google Scholar]
- 90.Fischer C., Deininger N., Wolf G., Loeffler I. CERA Attenuates Kidney Fibrogenesis in the db/db Mouse by Influencing the Renal Myofibroblast Generation. J. Clin. Med. 2018;7:15. doi: 10.3390/jcm7020015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Lambers Heerspink H.J., de Zeeuw D., Wie L., Leslie B., List J. Dapagliflozin a glucose-regulating drug with diuretic properties in subjects with type 2 diabetes. Diabetes Obes. Metab. 2013;15:853–862. doi: 10.1111/dom.12127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Docherty K.F., Curtain J.P., Anand I.S., Bengtsson O., Inzucchi S.E., Køber L., Kosiborod M.N., Langkilde A.M., Martinez F.A., Ponikowski P., et al. Effect of dapagliflozin on anaemia in DAPA-HF. Eur. J. Heart Fail. 2021;23:617–628. doi: 10.1002/ejhf.2132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Stefánsson B.V., Heerspink H.J.L., Wheeler D.C., Sjöström C.D., Greasley P.J., Sartipy P., Cain V., Correa-Rotter R. Correction of anemia by dapagliflozin in patients with type 2 diabetes. J. Diabetes Complicat. 2020;34:107729. doi: 10.1016/j.jdiacomp.2020.107729. [DOI] [PubMed] [Google Scholar]
- 94.Kanbay M., Tapoi L., Ureche C., Tanriover C., Cevik E., Demiray A., Afsar B., Cherney D.Z.I., Covic A. Effect of sodium-glucose cotransporter 2 inhibitors on hemoglobin and hematocrit levels in type 2 diabetes: A systematic review and meta-analysis. Int. Urol. Nephrol. 2021;54:827–841. doi: 10.1007/s11255-021-02943-2. [DOI] [PubMed] [Google Scholar]
- 95.Hung S.C., Tarng D.C. ESA and iron therapy in chronic kidney disease: A balance between patient safety and hemoglobin target. Kidney Int. 2014;86:676–678. doi: 10.1038/ki.2014.179. [DOI] [PubMed] [Google Scholar]
- 96.Gupta N., Wish J.B. Hypoxia-Inducible Factor Prolyl Hydroxylase Inhibitors: A Potential New Treatment for Anemia in Patients with CKD. Am. J. Kidney Dis. 2017;69:815–826. doi: 10.1053/j.ajkd.2016.12.011. [DOI] [PubMed] [Google Scholar]
- 97.Slotki I., Cabantchik Z.I. The Labile Side of Iron Supplementation in CKD. J. Am. Soc. Nephrol. 2015;26:2612–2619. doi: 10.1681/ASN.2015010052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Weinstein D.A., Roy C.N., Fleming M.D., Loda M.F., Wolfsdorf J.I., Andrews N.C. Inappropriate expression of hepcidin is associated with iron refractory anemia: Implications for the anemia of chronic disease. Blood. 2002;100:3776–3781. doi: 10.1182/blood-2002-04-1260. [DOI] [PubMed] [Google Scholar]
- 99.Nemeth E., Tuttle M.S., Powelson J., Vaughn M.B., Donovan A., Ward D.M., Ganz T., Kaplan J. Hepcidin regulates cellular iron efflux by binding to ferroportin and inducing its internalization. Science. 2004;306:2090–2093. doi: 10.1126/science.1104742. [DOI] [PubMed] [Google Scholar]
- 100.Ganz T. Hepcidin and iron regulation, 10 years later. Blood. 2011;117:4425–4433. doi: 10.1182/blood-2011-01-258467. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Brookhart M.A., Schneeweiss S., Avorn J., Bradbury B.D., Rothman K.J., Fischer M., Mehta J., Winkelmayer W.C. The effect of altitude on dosing and response to erythropoietin in ESRD. J. Am. Soc. Nephrol. 2008;19:1389–1395. doi: 10.1681/ASN.2007111181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Brookhart M.A., Bradbury B.D., Avorn J., Schneeweiss S., Winkelmayer W.C. The effect of altitude change on anemia treatment response in hemodialysis patients. Am. J. Epidemiol. 2011;173:768–777. doi: 10.1093/aje/kwq423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Song D., Navalsky B.E., Guan W., Ingersoll C., Wang T., Loro E., Eeles L., Matchett K.B., Percy M.J., Walsby-Tickle J., et al. Tibetan PHD2, an allele with loss-of-function properties. Proc. Natl. Acad. Sci. USA. 2020;117:12230–12238. doi: 10.1073/pnas.1920546117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Song D., Li L.S., Arsenault P.R., Tan Q., Bigham A.W., Heaton-Johnson K.J., Master S.R., Lee F.S. Defective Tibetan PHD2 binding to p23 links high altitude adaption to altered oxygen sensing. J. Biol. Chem. 2014;289:14656–14665. doi: 10.1074/jbc.M113.541227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Dhillon S. Roxadustat: First Global Approval. Drugs. 2019;79:563–572. doi: 10.1007/s40265-019-01077-1. [DOI] [PubMed] [Google Scholar]
- 106.Barratt J., Sulowicz W., Schömig M., Esposito C., Reusch M., Young J., Csiky B. Efficacy and Cardiovascular Safety of Roxadustat in Dialysis-Dependent Chronic Kidney Disease: Pooled Analysis of Four Phase 3 Studies. Adv. Ther. 2021;38:5345–5360. doi: 10.1007/s12325-021-01903-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Provenzano R., Szczech L., Leong R., Saikali K.G., Zhong M., Lee T.T., Little D.J., Houser M.T., Frison L., Houghton J., et al. Efficacy and Cardiovascular Safety of Roxadustat for Treatment of Anemia in Patients with Non-Dialysis-Dependent CKD: Pooled Results of Three Randomized Clinical Trials. Clin. J. Am. Soc. Nephrol. 2021;16:1190–1200. doi: 10.2215/CJN.16191020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Fishbane S., El-Shahawy M.A., Pecoits-Filho R., Van B.P., Houser M.T., Frison L., Little D.J., Guzman N.J., Pergola P.E. Roxadustat for Treating Anemia in Patients with CKD Not on Dialysis: Results from a Randomized Phase 3 Study. J. Am. Soc. Nephrol. 2021;32:737–755. doi: 10.1681/ASN.2020081150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Qie S., Jiao N., Duan K., Li J., Liu Y., Liu G. The efficacy and safety of roxadustat treatment for anemia in patients with kidney disease: A meta-analysis and systematic review. Int. Urol. Nephrol. 2021;53:985–997. doi: 10.1007/s11255-020-02693-7. [DOI] [PubMed] [Google Scholar]
- 110.Sugahara M., Tanaka S., Tanaka T., Saito H., Ishimoto Y., Wakashima T., Ueda M., Fukui K., Shimizu A., Inagi R., et al. Prolyl Hydroxylase Domain Inhibitor Protects against Metabolic Disorders and Associated Kidney Disease in Obese Type 2 Diabetic Mice. J. Am. Soc. Nephrol. 2020;31:560–577. doi: 10.1681/ASN.2019060582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Packer M. Mechanisms Leading to Differential Hypoxia-Inducible Factor Signaling in the Diabetic Kidney: Modulation by SGLT2 Inhibitors and Hypoxia Mimetics. Am. J. Kidney Dis. 2021;77:280–286. doi: 10.1053/j.ajkd.2020.04.016. [DOI] [PubMed] [Google Scholar]
- 112.Kong K.H., Oh H.J., Lim B.J., Kim M., Han K.H., Choi Y.H., Kwon K., Nam B.Y., Park K.S., Park J.T., et al. Selective tubular activation of hypoxia-inducible factor-2α has dual effects on renal fibrosis. Sci. Rep. 2017;7:11351. doi: 10.1038/s41598-017-11829-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Kapitsinou P.P., Sano H., Michael M., Kobayashi H., Davidoff O., Bian A., Yao B., Zhang M.Z., Harris R.C., Duffy K.J., et al. Endothelial HIF-2 mediates protection and recovery from ischemic kidney injury. J. Clin. Investig. 2014;124:2396–2409. doi: 10.1172/JCI69073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Bessho R., Takiyama Y., Takiyama T., Kitsunai H., Takeda Y., Sakagami H., Ota T. Hypoxia-inducible factor-1α is the therapeutic target of the SGLT2 inhibitor for diabetic nephropathy. Sci. Rep. 2019;9:14754. doi: 10.1038/s41598-019-51343-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Packer M. Interplay of adenosine monophosphate-activated protein kinase/sirtuin-1 activation and sodium influx inhibition mediates the renal benefits of sodium-glucose co-transporter-2 inhibitors in type 2 diabetes: A novel conceptual framework. Diabetes Obes. Metab. 2020;22:734–742. doi: 10.1111/dom.13961. [DOI] [PubMed] [Google Scholar]
- 116.Swe M.T., Thongnak L., Jaikumkao K., Pongchaidecha A., Chatsudthipong V., Lungkaphin A. Dapagliflozin not only improves hepatic injury and pancreatic endoplasmic reticulum stress, but also induces hepatic gluconeogenic enzymes expression in obese rats. Clin. Sci. 2019;133:2415–2430. doi: 10.1042/CS20190863. [DOI] [PubMed] [Google Scholar]
- 117.Treins C., Murdaca J., Van Obberghen E., Giorgetti-Peraldi S. AMPK activation inhibits the expression of HIF-1alpha induced by insulin and IGF-1. Biochem. Biophys. Res. Commun. 2006;342:1197–1202. doi: 10.1016/j.bbrc.2006.02.088. [DOI] [PubMed] [Google Scholar]
- 118.Dioum E.M., Chen R., Alexander M.S., Zhang Q., Hogg R.T., Gerard R.D., Garcia J.A. Regulation of hypoxia-inducible factor 2alpha signaling by the stress-responsive deacetylase sirtuin 1. Science. 2009;324:1289–1293. doi: 10.1126/science.1169956. [DOI] [PubMed] [Google Scholar]
- 119.Che R., Yuan Y., Huang S., Zhang A. Mitochondrial dysfunction in the pathophysiology of renal diseases. Am. J. Physiol. Renal Physiol. 2014;306:F367–F378. doi: 10.1152/ajprenal.00571.2013. [DOI] [PubMed] [Google Scholar]
- 120.Pinti M.V., Fink G.K., Hathaway Q.A., Durr A.J., Kunovac A., Hollander J.M. Mitochondrial dysfunction in type 2 diabetes mellitus: An organ-based analysis. Am. J. Physiol. Endocrinol. Metab. 2019;316:E268–E285. doi: 10.1152/ajpendo.00314.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Packer M. Mutual Antagonism of Hypoxia-Inducible Factor Isoforms in Cardiac, Vascular, and Renal Disorders. JACC Basic Transl. Sci. 2020;5:961–968. doi: 10.1016/j.jacbts.2020.05.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Pfaller W., Rittinger M. Quantitative morphology of the rat kidney. Int. J. Biochem. 1980;12:17–22. doi: 10.1016/0020-711X(80)90035-X. [DOI] [PubMed] [Google Scholar]
- 123.Katz A.I., Doucet A., Morel F. Na-K-ATPase activity along the rabbit, rat, and mouse nephron. Am. J. Physiol. 1979;237:F114–F120. doi: 10.1152/ajprenal.1979.237.2.F114. [DOI] [PubMed] [Google Scholar]
- 124.Bhargava P., Schnellmann R.G. Mitochondrial energetics in the kidney. Nat. Rev. Nephrol. 2017;13:629–646. doi: 10.1038/nrneph.2017.107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Sharma K. Mitochondrial hormesis and diabetic complications. Diabetes. 2015;64:663–672. doi: 10.2337/db14-0874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Zhan M., Brooks C., Liu F., Sun L., Dong Z. Mitochondrial dynamics: Regulatory mechanisms and emerging role in renal pathophysiology. Kidney Int. 2013;83:568–581. doi: 10.1038/ki.2012.441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Wei P.Z., Szeto C.C. Mitochondrial dysfunction in diabetic kidney disease. Clin. Chim. Acta. 2019;496:108–116. doi: 10.1016/j.cca.2019.07.005. [DOI] [PubMed] [Google Scholar]
- 128.Brownlee M. The pathobiology of diabetic complications: A unifying mechanism. Diabetes. 2005;54:1615–1625. doi: 10.2337/diabetes.54.6.1615. [DOI] [PubMed] [Google Scholar]
- 129.Layton A.T., Vallon V., Edwards A. Modeling oxygen consumption in the proximal tubule: Effects of NHE and SGLT2 inhibition. Am. J. Physiol. Renal Physiol. 2015;308:F1343–F1357. doi: 10.1152/ajprenal.00007.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Wang X.X., Levi J., Luo Y., Myakala K., Herman-Edelstein M., Qiu L., Wang D., Peng Y., Grenz A., Lucia S., et al. SGLT2 Protein Expression Is Increased in Human Diabetic Nephropathy: SGLT2 protein inhibition decreases renal lipid accumulation, inflammation, and the development of nephropathy in diabetic mice. J. Biol. Chem. 2017;292:5335–5348. doi: 10.1074/jbc.M117.779520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Coughlan M.T., Nguyen T.V., Penfold S.A., Higgins G.C., Thallas-Bonke V., Tan S.M., Van Bergen N.J., Sourris K.C., Harcourt B.E., Thorburn D.R., et al. Mapping time-course mitochondrial adaptations in the kidney in experimental diabetes. Clin. Sci. 2016;130:711–720. doi: 10.1042/CS20150838. [DOI] [PubMed] [Google Scholar]
- 132.Park C.W., Zhang Y., Zhang X., Wu J., Chen L., Cha D.R., Su D., Hwang M.T., Fan X., Davis L., et al. PPARalpha agonist fenofibrate improves diabetic nephropathy in db/db mice. Kidney Int. 2006;69:1511–1517. doi: 10.1038/sj.ki.5000209. [DOI] [PubMed] [Google Scholar]
- 133.Al-Rasheed N.M., Al-Rasheed N.M., Al-Amin M.A., Hasan I.H., Al-Ajmi H.N., Mohammad R.A., Attia H.A. Fenofibrate attenuates diabetic nephropathy in experimental diabetic rat’s model via suppression of augmented TGF-β1/Smad3 signaling pathway. Arch. Physiol. Biochem. 2016;122:186–194. doi: 10.3109/13813455.2016.1164186. [DOI] [PubMed] [Google Scholar]
- 134.Keech A., Simes R.J., Barter P., Best J., Scott R., Taskinen M.R., Forder P., Pillai A., Davis T., Glasziou P., et al. Effects of long-term fenofibrate therapy on cardiovascular events in 9795 people with type 2 diabetes mellitus (the FIELD study): Randomised controlled trial. Lancet. 2005;366:1849–1861. doi: 10.1016/S1567-5688(06)81349-8. [DOI] [PubMed] [Google Scholar]
- 135.Halseth A.E., Ensor N.J., White T.A., Ross S.A., Gulve E.A. Acute and chronic treatment of ob/ob and db/db mice with AICAR decreases blood glucose concentrations. Biochem. Biophys. Res. Commun. 2002;294:798–805. doi: 10.1016/S0006-291X(02)00557-0. [DOI] [PubMed] [Google Scholar]
- 136.Alba M., Xie J., Fung A., Desai M. The effects of canagliflozin, a sodium glucose co-transporter 2 inhibitor, on mineral metabolism and bone in patients with type 2 diabetes mellitus. Curr. Med. Res. Opin. 2016;32:1375–1385. doi: 10.1080/03007995.2016.1174841. [DOI] [PubMed] [Google Scholar]
- 137.Nordquist L., Friederich-Persson M., Fasching A., Liss P., Shoji K., Nangaku M., Hansell P., Palm F. Activation of hypoxia-inducible factors prevents diabetic nephropathy. J. Am. Soc. Nephrol. 2015;26:328–338. doi: 10.1681/ASN.2013090990. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Fine L.G., Orphanides C., Norman J.T. Progressive renal disease: The chronic hypoxia hypothesis. Kidney Int. Suppl. 1998;65:S74–S78. [PubMed] [Google Scholar]
- 139.Mimura I., Nangaku M. The suffocating kidney: Tubulointerstitial hypoxia in end-stage renal disease. Nat. Rev. Nephrol. 2010;6:667–678. doi: 10.1038/nrneph.2010.124. [DOI] [PubMed] [Google Scholar]
- 140.DeFronzo R.A., Reeves W.B., Awad A.S. Pathophysiology of diabetic kidney disease: Impact of SGLT2 inhibitors. Nat. Rev. Nephrol. 2021;17:319–334. doi: 10.1038/s41581-021-00393-8. [DOI] [PubMed] [Google Scholar]
- 141.Franzén S., Pihl L., Khan N., Gustafsson H., Palm F. Pronounced kidney hypoxia precedes albuminuria in type 1 diabetic mice. Am. J. Physiol. Renal Physiol. 2016;310:F807–F809. doi: 10.1152/ajprenal.00049.2016. [DOI] [PubMed] [Google Scholar]
- 142.Feng Y.Z., Ye Y.J., Cheng Z.Y., Hu J.J., Zhang C.B., Qian L., Lu X.H., Cai X.R. Non-invasive assessment of early stage diabetic nephropathy by dti and BOLD MRI. Br. J. Radiol. 2020;93:20190562. doi: 10.1259/bjr.20190562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Shamekhi Amiri F. Intracellular organelles in health and kidney disease. Nephrol. Ther. 2019;15:9–21. doi: 10.1016/j.nephro.2018.04.002. [DOI] [PubMed] [Google Scholar]
- 144.Hesp A.C., Schaub J.A., Prasad P.V., Vallon V., Laverman G.D., Bjornstad P., van Raalte D.H. The role of renal hypoxia in the pathogenesis of diabetic kidney disease: A promising target for newer renoprotective agents including SGLT2 inhibitors? Kidney Int. 2020;98:579–589. doi: 10.1016/j.kint.2020.02.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Prasad P.V., Edelman R.R., Epstein F.H. Noninvasive evaluation of intrarenal oxygenation with BOLD MRI. Circulation. 1996;94:3271–3275. doi: 10.1161/01.CIR.94.12.3271. [DOI] [PubMed] [Google Scholar]
- 146.Yin W.J., Liu F., Li X.M., Yang L., Zhao S., Huang Z.X., Huang Y.Q., Liu R.B. Noninvasive evaluation of renal oxygenation in diabetic nephropathy by BOLD-MRI. Eur. J. Radiol. 2012;81:1426–1431. doi: 10.1016/j.ejrad.2011.03.045. [DOI] [PubMed] [Google Scholar]
- 147.Luo L., Luo G., Fang Q., Sun Z. Stable expression of hypoxia-inducible factor-1α in human renal proximal tubular epithelial cells promotes epithelial to mesenchymal transition. Transplant. Proc. 2014;46:130–134. doi: 10.1016/j.transproceed.2013.06.024. [DOI] [PubMed] [Google Scholar]
- 148.Li Z.L., Lv L.L., Tang T.T., Wang B., Feng Y., Zhou L.T., Cao J.Y., Tang R.N., Wu M., Liu H., et al. HIF-1α inducing exosomal microRNA-23a expression mediates the cross-talk between tubular epithelial cells and macrophages in tubulointerstitial inflammation. Kidney Int. 2019;95:388–404. doi: 10.1016/j.kint.2018.09.013. [DOI] [PubMed] [Google Scholar]
- 149.Deng W., Ren Y., Feng X., Yao G., Chen W., Sun Y., Wang H., Gao X., Sun L. Hypoxia inducible factor-1 alpha promotes mesangial cell proliferation in lupus nephritis. Am. J. Nephrol. 2014;40:507–515. doi: 10.1159/000369564. [DOI] [PubMed] [Google Scholar]
- 150.Nayak B.K., Shanmugasundaram K., Friedrichs W.E., Cavaglierii R.C., Patel M., Barnes J., Block K. HIF-1 Mediates Renal Fibrosis in OVE26 Type 1 Diabetic Mice. Diabetes. 2016;65:1387–1397. doi: 10.2337/db15-0519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Matoba K., Kawanami D., Okada R., Tsukamoto M., Kinoshita J., Ito T., Ishizawa S., Kanazawa Y., Yokota T., Murai N., et al. Rho-kinase inhibition prevents the progression of diabetic nephropathy by downregulating hypoxia-inducible factor 1α. Kidney Int. 2013;84:545–554. doi: 10.1038/ki.2013.130. [DOI] [PubMed] [Google Scholar]
- 152.Jain S., Maltepe E., Lu M.M., Simon C., Bradfield C.A. Expression of ARNT, ARNT2, HIF1 alpha, HIF2 alpha and Ah receptor mRNAs in the developing mouse. Mech. Dev. 1998;73:117–123. doi: 10.1016/S0925-4773(98)00038-0. [DOI] [PubMed] [Google Scholar]
- 153.Rosenberger C., Mandriota S., Jürgensen J.S., Wiesener M.S., Hörstrup J.H., Frei U., Ratcliffe P.J., Maxwell P.H., Bachmann S., Eckardt K.U. Expression of hypoxia-inducible factor-1alpha and -2alpha in hypoxic and ischemic rat kidneys. J. Am. Soc. Nephrol. 2002;13:1721–1732. doi: 10.1097/01.ASN.0000017223.49823.2A. [DOI] [PubMed] [Google Scholar]
- 154.Wiesener M.S., Jürgensen J.S., Rosenberger C., Scholze C.K., Hörstrup J.H., Warnecke C., Mandriota S., Bechmann I., Frei U.A., Pugh C.W., et al. Widespread hypoxia-inducible expression of HIF-2alpha in distinct cell populations of different organs. FASEB J. 2003;17:271–273. doi: 10.1096/fj.02-0445fje. [DOI] [PubMed] [Google Scholar]
- 155.Kato S., Ochiai N., Takano H., Io F., Takayama N., Koretsune H., Kunioka E.I., Uchida S., Yamamoto K. TP0463518, a Novel Prolyl Hydroxylase Inhibitor, Specifically Induces Erythropoietin Production in the Liver. J. Pharmacol. Exp. Ther. 2019;371:675–683. doi: 10.1124/jpet.119.258731. [DOI] [PubMed] [Google Scholar]
- 156.Yuan Y., Beitner-Johnson D., Millhorn D.E. Hypoxia-inducible factor 2alpha binds to cobalt in vitro. Biochem. Biophys. Res. Commun. 2001;288:849–854. doi: 10.1006/bbrc.2001.5835. [DOI] [PubMed] [Google Scholar]
- 157.Liu T., Hong L., Yang Y., Qiao X., Cai W., Zhong M., Wang M., Zheng Z., Fu Y. Metformin reduces proteinuria in spontaneously hypertensive rats by activating the HIF-2α-VEGF-A pathway. Eur. J. Pharmacol. 2021;891:173731. doi: 10.1016/j.ejphar.2020.173731. [DOI] [PubMed] [Google Scholar]
- 158.Salnikow K., Donald S.P., Bruick R.K., Zhitkovich A., Phang J.M., Kasprzak K.S. Depletion of intracellular ascorbate by the carcinogenic metals nickel and cobalt results in the induction of hypoxic stress. J. Biol. Chem. 2004;279:40337–40344. doi: 10.1074/jbc.M403057200. [DOI] [PubMed] [Google Scholar]
- 159.Ohtomo S., Nangaku M., Izuhara Y., Takizawa S., Strihou C., Miyata T. Cobalt ameliorates renal injury in an obese, hypertensive type 2 diabetes rat model. Nephrol. Dial. Transplant. 2008;23:1166–1172. doi: 10.1093/ndt/gfm715. [DOI] [PubMed] [Google Scholar]
- 160.Yang Y., Yu X., Zhang Y., Ding G., Zhu C., Huang S., Jia Z., Zhang A. Hypoxia-inducible factor prolyl hydroxylase inhibitor roxadustat (FG-4592) protects against cisplatin-induced acute kidney injury. Clin. Sci. 2018;132:825–838. doi: 10.1042/CS20171625. [DOI] [PubMed] [Google Scholar]
- 161.Li X., Zou Y., Xing J., Fu Y.Y., Wang K.Y., Wan P.Z., Zhai X.Y. Pretreatment with Roxadustat (FG-4592) Attenuates Folic Acid-Induced Kidney Injury through Antiferroptosis via Akt/GSK-3β/Nrf2 Pathway. Oxidative Med. Cell. Longev. 2020;2020:6286984. doi: 10.1155/2020/6286984. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Miao A.F., Liang J.X., Yao L., Han J.L., Zhou L.J. Hypoxia-inducible factor prolyl hydroxylase inhibitor roxadustat (FG-4592) protects against renal ischemia/reperfusion injury by inhibiting inflammation. Ren. Fail. 2021;43:803–810. doi: 10.1080/0886022X.2021.1915801. [DOI] [PMC free article] [PubMed] [Google Scholar]
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