Skip to main content
Renal Failure logoLink to Renal Failure
. 2026 Apr 7;48(1):2650260. doi: 10.1080/0886022X.2026.2650260

Erythropoietin receptor upregulation is associated with tubular injury severity in human acute kidney injury

Kun Xie a,b,#, Gang Zhou b,#, Mengjin Li c, Lili Fu c, Rong Wang b, Liming Zhang c, Changlin Mei c, Cheng Xue c,d,✉, Daoliang Xu a,b,✉
PMCID: PMC13063319  PMID: 41947411

Abstract

Objective

This study aimed to investigate erythropoietin receptor (EPOR) expression in human AKI and to examine its association with histopathological severity and clinical parameters.

Methods

Renal biopsy specimens from 21 patients with biopsy-confirmed acute kidney injury (AKI) and 12 control kidney tissues from nephrectomy samples were analyzed. EPOR expression was assessed by immunohistochemistry with AI-assisted digital quantification and by immunofluorescence, including co-staining with β-common receptor (βcR) and TUNEL.

Results

In human kidney biopsy specimens, EPOR expression was significantly higher in AKI kidneys compared to controls (p < 0.001). Immunofluorescence demonstrated co-localization of EPOR and βcR on tubular epithelial cell membranes. EPOR expression showed significant inverse correlations with stage of AKI (τ = −0.444, p = 0.012), tubular necrosis scores (τ = −0.485, p = 0.005), and acute pathology scores (τ = −0.475, p = 0.005). A significant positive correlation was found between EPOR expression and both red blood cell count (r = 0.490, p = 0.024) and Hemoglobin levels (r = 0.496, p = 0.022). Receiver operating characteristic analysis indicated moderate discriminatory performance of EPOR expression for differentiating AKI severity stages. Consistent with the human data, EPOR protein levels were significantly upregulated in mouse kidneys 24 h after ischemia–reperfusion injury. Single-cell transcriptomic analysis further demonstrated increased EPOR expression in tubular cell populations in AKI.

Conclusions

EPOR expression is upregulated in renal tubular epithelial cells in human AKI and is closely associated with histopathological injury severity and selected clinical parameters, highlighting that EPOR may serve as a marker of tubular stress and injury severity in AKI.

Keywords: Erythropoietin, erythropoietin receptor, acute kidney injury, tubular necrosis

Introduction

acute kidney injury (AKI) is a clinical syndrome characterized by a rapid decline in renal function, typically manifested by an increase in serum creatinine and/or a reduction in urine output [1]. According to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria, AKI is defined by an increase in serum creatinine of ≥0.3 mg/dL within 48 h, a 1.5-fold rise from baseline within 7 d, or urine output <0.5 mL/kg/h for at least 6 h [1]. AKI is associated with substantial short- and long-term morbidity and mortality, and persistent or severe AKI markedly increases the risk of progression to chronic kidney disease (CKD) as well as cardiovascular complications, contributing to a significant global health burden [2–5].

In recent years, increasing attention has been directed toward the erythropoietin (EPO)/erythropoietin receptor (EPOR) signaling axis, not only for its established role in erythropoiesis but also for its involvement in cellular responses to hypoxia and tissue injury [6]. EPOR is a member of the type I cytokine receptor family and classically mediates erythropoiesis through homodimeric EPOR2 formation upon EPO binding. Beyond hematopoiesis, experimental studies have suggested that EPO may modulate apoptosis, inflammation, and oxidative stress in various organ injury models, including the kidney. These non-erythropoietic effects have been proposed to involve an alternative EPOR signaling configuration that includes the β-common receptor (βcR), distinct from the canonical EPOR homodimer pathway [7].

Despite extensive investigation in experimental systems, the expression pattern of EPOR in human AKI and its relationship to histopathological injury severity have not been systematically characterized. In particular, data derived from human renal biopsy specimens remain limited. Therefore, in this study, we examined EPOR expression in renal biopsies from patients with biopsy-confirmed AKI and analyzed its association with tubular injury severity and relevant clinicopathological parameters.

Methods

Patient enrollment and tissue sampling

This retrospective study included patients from Subei People’s Hospital between January 2016 and December 2024. Individuals who underwent renal biopsy and were diagnosed histopathologically with AKI formed the AKI group. Control samples were obtained from histologically normal renal cortex tissue adjacent to tumors in patients undergoing nephrectomy for renal neoplasms (> 5 cm from the neoplasm). A total of 21 patients were recruited from the inpatient services based on previously established eligibility criteria. Clinical trial number: not applicable. The paraffin-embedded renal tissues from enrolled patients were obtained from the Biobank (−80 °C) of Subei People’s Hospital, and subsequently sectioned into approximately 3 μm-thick slices using standard protocols in pathology department. We retrospectively analyzed renal tissue specimens obtained from patients who underwent renal biopsy for AKI, all of whom had provided written informed consent specifically for the biopsy procedure. All AKI biopsies were performed within one week after AKI diagnosis, while patients were still in the acute phase of the injury. Additionally, adjacent non-tumorous renal tissues from patients with renal cell carcinoma were selected as controls; these patients had provided informed consent for surgical intervention before nephrectomy. This study was approved by the Institutional Medical Ethics Committee (METC: No. 2022ky030). The study design and protocol are shown in a flow diagram (Figure 1), all in accordance with the Declaration of Helsinki.

Figure 1.

Flowchart outlining research steps for AKI (n=21) and Control (n=12) groups, including patient selection, data collection, IHC processes, and statistical analysis. The flowchart displays a structured research design for two patient groups: the AKI group (n=21) on the left and the Control group (n=12) on the right. It begins with patient selection criteria, followed by collecting demographics and pathology from medical records. Next, the chart shows steps for IHC staining for EPOR and IHC semi-quantitation using Aipathwell®. Finally, it concludes with statistical analysis using SPSS 29. Each step is clearly connected by arrows, illustrating the systematic methodology of the study.

Study design and number of patients in cohorts.

The inclusion criteria were defined separately for the AKI and control groups. For the AKI group, eligible patients were required to meet the KDIGO 2012 diagnostic criteria for acute kidney injury, have a biopsy-proven histopathological diagnosis of AKI, and be hospitalized for acute kidney dysfunction without clinical evidence of extrarenal organ failure. Control kidney tissues were obtained from patients with normal pre- and post-operative serum creatinine, no severe systemic disease or extrarenal organ involvement, and a histologically normal renal cortex located at a sufficient distance from tumor infiltration.

Immunofluorescence (human renal biopsies)

Immunofluorescence staining was performed on formalin‑fixed, paraffin‑embedded human renal biopsy sections. After standard deparaffinization and rehydration, heat-induced antigen retrieval was carried out for 30 min. Sections were then blocked with 3% bovine serum albumin (BSA) for 30 min and incubated overnight at 4 °C with the following primary antibodies: anti-EPOR (1:150 dilution, Origene, Rockville, MD, catalog # OTI4F12) and anti‑βcR (1:500 dilution, Servicebio, Wuhan, China, catalog # GB113265). Following washes, sections were incubated with appropriate fluorophore‑conjugated secondary antibodies, counterstained with DAPI, and imaged using a fluorescence microscope.

Immunohistochemistry (human renal biopsies)

Immunohistochemical staining was performed on formalin-fixed, paraffin-embedded kidney sections. Sections were incubated with an anti-EPOR monoclonal antibody (1:350 dilution, Origene, catalog # OTI4F12), followed by incubation with a secondary antibody and visualization using a DAB (3,3′-diaminobenzidine) chromogenic substrate. Image acquisition and analysis were conducted using an artificial intelligence-based digital pathology platform (Servicebio®), which integrates deep learning algorithms trained on large histopathological datasets. EPOR expression levels were quantitatively assessed using average optical density (AOD), calculated as: AOD = Integrated optical density (IOD)/Area.

Histopathological evaluation

Renal biopsy specimens were semi-quantitatively assessed by experienced renal pathologists who were blinded to all clinical information. Four histopathological features – tubular atrophy, interstitial fibrosis, interstitial inflammation, and tubular epithelial necrosis – were evaluated on a standardized 0–4 scale reflecting the extent of involvement (0 = none, 1 = focal, 2 = multifocal, 3 = segmental, and 4 = diffuse). To capture the overall severity of acute injury, an Acute Pathology Score was generated by summing the scores for interstitial inflammation and tubular epithelial necrosis. All pathological assessments and digital quantification were performed by evaluators blinded to clinical data.

Single-cell sequencing

The Kidney Precision Medicine Project (KPMP) kidney tissue atlas (https://atlas.kpmp.org/explorer/dataviz) was used to access the single-cell RNA-seq dataset derived from renal biopsies from 28 healthy controls (HC) and 14 AKI patients.

Animal model of AKI

To establish an ischemia-reperfusion injury (IRI) model of AKI, male C57BL/6 mice aged 6–8 weeks from Shanghai Jihui Laboratory Animal Care Co., Ltd. were used and were raised in specific pathogen-free conditions of the Laboratory Animal Center of Naval Medical University for 12h day and night with food and water provided at will. All animals were anesthetized with 3% sodium pentobarbital. A unilateral nephrectomy was performed, followed by clamping of the renal artery of the remaining kidney to induce 25 min of ischemia. Reperfusion was initiated by removing the arterial clamp. Mice were euthanized 24 h after reperfusion to assess EPOR expression. Sham-operated animals underwent identical surgical exposure and handling without nephrectomy or vascular occlusion. All animal procedures were approved by the Institutional Animal Care and Use Committee and conformed to national guidelines on animal research ethics.

Western blotting

Renal tissues from mice were homogenized and lysed for protein extraction. Equal quantities of protein were resolved by SDS-PAGE and transferred to PVDF membranes. After blocking with 5% skimmed milk for 1 h at room temperature, membranes were incubated overnight at 4 °C with anti-EPOR primary antibody (1:1,000, Abclonal, Woburn, MA, catalog # A2917). The following day, membranes were incubated with horseradish peroxidase (HRP)-conjugated secondary antibody (Goat anti-Mouse IgG, 1:5,000, Abclonal, catalog # AS003) for 1 h at room temperature. Signal development was performed using an imaging system. Densitometric analysis was conducted using ImageJ software.

Statistical analysis

All statistical analyses were performed using SPSS version 29.0 (IBM Corp., Armonk, NY). Data distribution was evaluated using the Shapiro–Wilk test, Q–Q plots, and histograms. Continuous variables following a normal distribution were analyzed using independent sample t-tests, while non-normally distributed variables were compared using Kruskal–Wallis tests. Categorical variables were analyzed using chi-square or Fisher’s exact tests as appropriate. Correlation analyses were performed using Pearson’s correlation coefficient for normally distributed variables and Kendall’s Tau’s rank correlation coefficient for non-parametric date. A receiver operating characteristic (ROC) curve was constructed to evaluate the performance of EPOR. A p value < 0.05 was considered statistically significant.

Results

Baseline characteristics of study participants

A total of 33 human participants were included in the study, comprising 21 patients with biopsy-confirmed AKI and 12 control subjects who underwent nephrectomy for renal tumors. Compared with controls, patients with AKI exhibited significantly higher serum creatinine levels and significantly lower hemoglobin (Hb) and red blood cell (RBC) counts (Table 1). No significant differences were observed between the two groups with respect to age, sex distribution, body mass index, liver function parameters, or serum albumin levels.

Table 1.

Baseline characteristics of participants.

Clinicopathological characteristics Normal (N = 12) AKI (N = 21) p Value
Sex      
 Male 6 10 1.000
 Female 6 11  
Age (years)      
 ≤45 4 3 0.440
 >45 8 18  
BMI (kg/m2) 23.36 ± 1.890 22.59 ± 2.530 0.366
RBC (X1012) 4.21 ± 0.500 3.11 ± 0.587 0.001
Hemoglobin (g/L) 128.25 ± 12.024 90.71 ± 18.940 0.001
Serum creatinine (μmol/L) 83.58 ± 10.317 556.52 ± 271.303 0.001
Alanine aminotransferase (U/L) 22.90 ± 10.147 22.74 ± 12.380 0.970
Aspartate aminotransferase (U/L) 21.22 ± 4.567 21.31 ± 8.642 0.973
Albumin (g/L) 32.01 ± 5.280 33.01 ± 4.429 0.564
Serum calcium (mmol/L) 2.05 ± 0.190 2.05 ± 0.157 0.121
Serum phosphorus (mmol/L) – 1.82 ± 0.721  
Parathyroid hormone (pg/mL) – 142.41 ± 92.361  
Erythropoietin receptor (AOD) 0.044 ± 0.009 0.093 ± 0.0164 0.001
AKI      
 1 0 7  
 2 0 9  
 3 0 5  
Causes of AKI      
 ANCA-associated glomerulonephritis 0 10  
 IgA Nephropathy 0 3  
 Anti-GBM Disease 0 1  
 Others 0 7  
Co-morbid conditions      
 Hypertension 0 16  
 Diabetes 0 3  

‘–’ indicates parameters that were not measured rather than missing data.

Abbreviations: BMI: body mass index; RBC: red blood cell; AKI: acute kidney injury.

Histopathological features in AKI biopsies

Renal histology from AKI patients exhibited characteristic tubulointerstitial injury with varying degrees of severity. Acute tubular necrosis (ATN) was absent in 28.6% of cases, focal in 42.8%, multifocal in 19.0%, and segmental or diffuse in the remaining 9.6%. Interstitial inflammation was diffuse in 76.2% of patients, with the rest showing segmental (14.3%) or multifocal (9.5%) patterns. Regarding chronic changes, interstitial fibrosis ranged from none to diffuse, with 47.6% showing multifocal fibrosis and 14.3% exhibiting diffuse fibrosis. Tubular atrophy was most commonly multifocal (52.4%), while 14.3% of cases showed diffuse atrophy. (Table 2).

Table 2.

Histopathological scores of AKI patients.

Pathological descriptions Pathological scores (n = 21)
Acute Tubular Necrosis  
 0 6
 1 9
 2 4
 3 1
 4 1
Inflammatory infiltration  
 0 0
 1 0
 2 2
 3 3
 4 16
Interstitial fibrosis  
 0 1
 1 3
 2 10
 3 4
 4 3
Tubular atrophy  
 0 0
 1 3
 2 11
 3 4
 4 3

Co-localization of EPOR and βcR in human AKI kidneys

Immunofluorescence analysis revealed co-localized expression of EPOR and the βcR on the plasma membrane of renal tubular epithelial cells in AKI biopsy specimens. In comparison with control kidney tissue, AKI samples exhibited more prominent membrane-associated co-localization of EPOR and βcR, indicating a spatial association of these receptors in tubular epithelial cells during AKI (Figure 2).

Figure 2.

Fluorescence images showing DAPI, ßcR, EPOR, and Merge for Control and AKI kidney samples, highlighting increased staining in AKI. The figure displays a 2x4 grid of fluorescence microscopy images comparing Control (Con) and Acute Kidney Injury (AKI) kidney sections across four panels: DAPI (blue, cell nuclei), ßcR (green), EPOR (red), and Merge. The Control panels show minimal fluorescence, while AKI panels exhibit significant increases in green and red signals, with the Merge overlay illustrating the relationship between cell nuclei and protein expressions, highlighting enhanced ßcR and EPOR in AKI.

Co‑localization of EPOR and βcR on tubular epithelial cell membranes.

Upregulation of EPOR in human AKI

Immunohistochemical analysis demonstrated that EPOR expression was significantly increased in AKI biopsy specimens compared with control kidney tissue (p < 0.001). While chromogenic immunohistochemistry suggested predominantly cytoplasmic EPOR immunoreactivity, high-magnification immunofluorescence analysis revealed membrane-associated localization of EPOR in tubular epithelial cells. Quantitative digital image analysis showed a significant increase in the AOD of EPOR staining in the AKI group relative to controls across all AKI stages (Stages 1–3) (p < 0.05; Figure 3(A,B)). Although no statistically significant differences in EPOR expression were observed among different AKI stages, a gradual downward numerical trend was noted with increasing AKI severity.

Figure 3.

Multi-panel figure showing kidney pathology across conditions. Panel A: HE and EPOR staining of kidney tissue. Panel B: Bar chart of EPOR AOD values. Panel C: Fluorescence images of DAPI, TUNEL, EPOR, and merge. Panel D: t-SNE plots of EPOR expression in healthy controls versus AKI. This figure includes four panels (A-D) detailing renal pathology. Panel A shows histological sections of kidney tissues, comparing hematoxylin and eosin (HE) and EPOR staining across Control to AKI Stages 1-3, highlighting increasing tubular damage and EPOR localization. Panel B features a bar graph of EPOR average optical density (AOD), indicating significant expression changes across the conditions. Panel C presents fluorescence images of DAPI (blue), TUNEL (green), and EPOR (red) across each condition, showing co-localization in AKI. Panel D includes t-SNE plots illustrating EPOR expression disparities between healthy controls and AKI, with color gradients indicating varying expression levels.

EPOR expression in human AKI. (A) Representative photomicrographs of kidney sections from renal patients (Control and AKI Stage 1–3) stained by immunohistochemistry for EPOR. (B) Staining scoring of EPOR of the four groups (Control, n = 12; AKI Stage 1, n = 7; AKI Stage 2, n = 9; AKI Stage 3, n = 5). Data were presented as means ± SD. *p < 0.05, Student’s t-test. (C) Representative photomicrographs of kidney sections from renal patients (Control and AKI Stage 1–3) stained by Immunofluorescence for EPOR and TUNEL. (D) Differential expression of EPOR in kidney cell clusters from HC and AKI in the Kidney Precision Medicine Project kidney tissue atlas: a higher expression of EPOR was observed compared to HC in AKI patients; EPOR expression of AKI was higher in the PTCs, PCs, and CNTs, compared to HC. HC, n = 28. AKI, n = 14. Data link: https://atlas.kpmp.org/explorer/dataviz.

To further examine the relationship between EPOR expression and tubular epithelial cell injury, immunofluorescence co-staining for EPOR and TUNEL was performed. In advanced AKI stages, EPOR signals were reduced in areas exhibiting extensive tubular epithelial cell apoptosis, whereas residual intact tubular epithelial cells retained detectable EPOR expression (Figure 3(C)).

Consistent with these findings, analysis of KPMP demonstrated higher EPOR expression in AKI samples compared with healthy controls. However, KPMP analysis is presented for qualitative visualization and contextual support only, and no inferential statistical comparisons were intended. Increased EPOR expression was observed predominantly in proximal tubular cells, principal cells, and connecting tubule cells (Figure 3(D)).

Association of EPOR expression with histopathological severity

Kendall’s tau-b correlation analysis demonstrated that EPOR expression was significantly and inversely correlated with the severity of acute tubular epithelial necrosis (tau = −0.485, p = 0.005) and the composite Acute Pathology Score, defined as the sum of interstitial inflammation and necrosis scores (tau = −0.475, p = 0.005) (Figure 4(A,B)). No statistically significant correlations were found between EPOR expression and either interstitial fibrosis or tubular atrophy scores.

Figure 4.

Six scatterplots and a ROC curve illustrate correlations between EPOR AOD, ATN, Acute Pathology Score, RBC, Hb, and AKI stages. The figure includes six panels: Panel A shows the negative correlation between EPOR AOD and ATN (tau=-0.485, p=0.005). Panel B illustrates EPOR AOD's negative correlation with Acute Pathology Score (tau=-0.475, p=0.005). Panel C reveals a positive correlation between RBC and EPOR AOD (r=0.490, p=0.024). Panel D depicts the positive relationship between Hb and EPOR AOD (r=0.496, p=0.022). Panel E indicates an inverse relationship of EPOR AOD across AKI stages (tau=-0.444, p=0.012). Panel F features ROC curves comparing sensitivity and specificity for AKI stages, with the red curve for Stage 1 vs 2,3 showing higher sensitivity than the blue curve for Stages 1,2 vs 3.

Association of EPOR expression with clinical and pathological Indicators. (A,B) Kendall’s tau-b correlations between EPOR and ATN or Acute Pathology Score in the AKI groups. (C,D) Pearson correlations between EPOR and RBC or Hb in the AKI groups. (E) Kendall’s tau-b correlations between EPOR and Stage of AKI. (F) ROC curves to evaluate the discriminative capacity of EPOR expression between different AKI severity groups.

Correlation between EPOR expression and clinical indicators

Pearson correlation analysis revealed a statistically significant positive association between renal EPOR expression and RBC count (r = 0.490, p = 0.024) as well as Hb levels (r = 0.496, p = 0.022) (Figure 4(C,D)). The positive association between EPOR expression and Hb/RBC may reflect systemic activation of the hypoxia–EPO axis during acute stress, but this requires further mechanistic investigation. Notably, EPOR levels were inversely correlated with stage of AKI (tau = −0.444, p = 0.012), indicating that higher EPOR expression is linked to milder histological injury. (Figure 4(E)). Furthermore,

ROC curve analysis was performed to evaluate the discriminative capacity of EPOR expression between different AKI severity groups. Area under the curve (AUC) for distinguishing AKI stage 1 from stages 2–3 was 0.786 (95% CI: 0.586–0.985, whereas the AUC for differentiating combined stage 1–2 from stage 3 was 0.850 (95% CI: 0.681–1.00), indicating moderate-to-good diagnostic performance (Figure 4(F)).

EPOR expression elevated in murine AKI model

To support the observations from human biopsies, EPOR upregulation was confirmed in a mouse IRI model. Renal tissue harvested 24 h post-reperfusion exhibited significantly increased EPOR protein levels compared to sham-operated controls (Figure 5). These findings confirm that EPOR is upregulated in response to ischemic stress in vivo.

Figure 5.

Panels display histological images of HE-stained kidney sections (Sham vs. IRI) with tissue differences, bar graphs for elevated BUN and Scr in IRI, Western blot images revealing EPOR expression, and a bar graph of higher EPOR/ß-actin ratio in IRI. This figure consists of four panels detailing kidney tissue analysis and biochemical markers. Panel A shows HE-stained kidney sections of Sham (normal structure) and IRI (indicating harm with tubular dilation and inflammation). Panel B features bar graphs of Blood Urea Nitrogen (BUN) and Serum Creatinine (Scr), both significantly elevated in the IRI group. Panel C presents Western blot results of EPOR and ß-actin, indicating increased EPOR protein expression in IRI. Panel D quantifies the EPOR/ß-actin ratio, showing a significant increase in IRI compared to Sham.

EPOR expression was elevated in the murine AKI Model. (A) Representative microphotographs of kidney sections from the experimental mice indicated above were stained by HE. (B) Renal tissue serum creatinine (SCr) and blood urea nitrogen (BUN) were examined from the experimental mice indicated above. Data were presented as Box-and-scatter plots. *p < 0.05, n = 3, Student’s t-test. (C) Western blotting. The renal tissues from sham and IRI were assayed for EPOR and β-actin. (d) Quantification of WB Data was presented as mean ± SD, n = 3. *p < 0.05, Student’s t-test.

Discussion

This study systematically characterized EPOR expression in human AKI renal tissues and examined its association with clinicopathological factors. We demonstrate that EPOR expression is significantly increased in renal tubular epithelial cells in AKI compared with control kidney tissue. Moreover, EPOR expression was inversely associated with AKI stage, acute tubular epithelial necrosis, and a composite acute pathology score, and positively associated with Hb and RBC levels. Together, these findings indicate that EPOR upregulation is a consistent feature of human AKI and is closely related to the severity of tubular injury.

Immunofluorescence staining confirmed the co-localized expression of EPOR and βcR in renal tubular epithelial cells in AKI tissues. Furthermore, Immunohistochemical staining revealed significantly higher EPOR expression in AKI tissues. However, a progressive decline in EPOR levels was noted with advancing histological injury, a trend further supported by EPOR/TUNEL co-staining. The study suggests a significant inverse correlation between EPOR expression and the Stage of AKI, acute tubular epithelial necrosis, the composite Acute Pathology Score, alongside a positive correlation with RBC and Hb. EPOR showed favorable discriminative ability in distinguishing between different stages of AKI.

EPOR, a member of the type I cytokine receptor family, mediates erythropoiesis through homodimeric (EPOR)2 assembly upon EPO binding [8]. In normal adult rats, renal tubular epithelial cells exhibit minimal EPOR expression [9]. βcR serves as the shared signaling subunit for IL-3, IL-5, and granulocyte-macrophage colony-stimulating factor (GM-CSF) receptors [10–12]. Co-expression of EPOR and βcR has been documented.

In multiple organs, including the kidney, heart, and nervous system [13,14]. Immunocytochemical analyses in spinal cord neurons and EPO-protected cardiomyocytes demonstrate cellular co-localization of βcR and EPOR, which is associated with cytoprotection [7]. In a murine unilateral ureteral obstruction (UUO) model, carbamylated erythropoietin (CEPO), a non-erythropoietic EPO derivative that selectively activated the EPOR/βcR heteroreceptor and suppressed apoptosis [15]. In this study, immunofluorescence analysis of human AKI biopsy specimens revealed co-localized expression of EPOR and βcR. Compared with normal renal tissue, AKI kidneys displayed prominent co-expression of EPOR and βcR on the plasma membrane of tubular epithelial cells.

AKI is classified as prerenal, intrinsic, and postrenal. Prerenal AKI and intrinsic AKI represent the most common causes for AKI in hospitalized patients. Our findings support the hypothesis that EPOR expression is upregulated in Prerenal AKI and intrinsic AKI. Several findings align with our study’s observation of elevated EPOR expression, providing further support for EPOR’s role in AKI pathophysiology. For instance, Yang et al. used Western blot analysis to measure EPOR expression in renal tissues 48 h after IRI in mice, showing significantly elevated EPOR levels [16]. Similarly, Shi et al. reported increased EPOR expression in AKI mice within the first 4 d post-injury, which peaked on day 2 and returned to baseline by day 7 [17]. In contrast, Heitrich et al. reported no significant difference in EPOR expression between septic AKI and normal renal tissues 18 h post-injury [18]. Additionally, studies using lipopolysaccharide-induced AKI models found no change in EPOR expression at 24 h post-injury [19]. The discrepancies in these results may be attributed to differences in timing and severity of modeling. In this study, all biopsy samples were obtained within one week after hospital admission during the acute phase characterized by rising serum creatinine levels. Integrating evidence from animal experiments and human tissue analyses, the early elevation of EPOR represents a marker of tubular stress response in AKI. Taken together, these findings indicate that EPOR regulation in AKI is highly context-dependent, and differences between ischemic/hypoxic and inflammatory injury models should be carefully considered when interpreting EPOR expression patterns across studies.

We observed that in human AKI, the decline in EPOR expression was synchronized with an increase in tubular epithelial cell apoptosis (TUNEL-positive). The concurrent reduction of EPOR expression and increase in tubular epithelial apoptosis suggest an association between EPOR expression and preserved epithelial integrity during AKI progression. Our study also explored correlations between EPOR expression and clinical and histopathological indicators. Current research suggests that EPO or EPO derivatives may reduce serum creatinine and ameliorate tissue injury in AKI [20], consistent with our findings of an inverse correlation between EPOR expression and the Stage of AKI, acute tubular epithelial necrosis, and the composite Acute Pathology Score. This observation can be interpreted in two possible ways. First, EPOR upregulation may reflect an endogenous stress-adaptive response that is associated with preserved epithelial integrity, potentially through activation of pro-survival signaling pathways (e.g., JAK2/STAT5, PI3K/Akt) [21–23]. Second, EPOR expression may be lost in severely injured tubules due to metabolic collapse and structural disruption; thus, reduced EPOR may also represent a consequence of advanced injury. These explanations are not mutually exclusive and should be tested in future mechanistic studies.

In AKI, renal tissue hypoxia is a core driver of pathological changes. The hypoxia-inducible factor (HIF), serving as the central regulator for cellular sensing and adaptation to hypoxia, has been demonstrated to be rapidly upregulated in expression and activity in various AKI animal models [24]. In human kidneys, limited but important evidence indicates that in AKI-related conditions, such as ischemic renal injury and acute rejection of renal allografts, HIF-1ɑ protein accumulates in the nuclei of renal tubular epithelial cells [25]. This suggests that the upregulation of EPOR observed in this study is likely driven by local HIF activation at the injury site, given that EPOR is a classic transcriptional target of HIF. However, systematic investigations of HIF expression in human AKI tissues of specific etiologies (e.g., ANCA-associated glomerulonephritis) during the acute phase remain scarce. Therefore, the precise expression patterns of HIF, its spatial co-localization with EPOR, and its interplay with inflammatory signaling warrant further elucidation in future studies.

Interestingly, EPOR expression in our cohort also exhibited a positive correlation with Hb and RBC counts. Although the EPOR detected in this study was localized to renal tubular cells and is not directly involved in hematopoiesis, this relationship may reflect coordinated systemic responses. The systemic activation of the EPO/EPOR axis could enhance erythroid progenitor sensitivity to circulating EPO, thereby promoting erythropoiesis. Thus, higher renal EPOR expression may serve as a surrogate marker for generalized EPO responsiveness and elevated erythropoietic activity, which in turn manifests as increased RBC and Hb levels.

Although the potential of EPOR in distinguishing AKI severity was observed through ROC curve analysis, another important limitation of this study is the lack of long-term clinical follow-up data. Consequently, we are unable to assess the association between the observed EPOR expression patterns and patients’ key clinical outcomes, such as complete renal recovery, progression to CKD, or the need for long-term dialysis. This prevents a full exploration of EPOR’s potential as a prognostic biomarker. Precisely this point highlights a critical direction for future research: systematically collecting baseline renal tissue specimens in established prospective AKI cohorts and correlating them with long-term follow-up data to determine whether EPOR expression can predict renal repair outcomes.

Several limitations of this study should be acknowledged. First, control tissues were derived from tumor-adjacent kidney samples, which may not fully represent normal renal tissue. Second, the relatively small sample size and observational design limit the ability to draw causal conclusions. Third, functional outcomes, such as long-term renal recovery or progression to CKD, were not assessed. Finally, mechanistic experiments directly addressing the functional role of EPOR in tubular epithelial cells were beyond the scope of this study. Even within the first week after AKI onset, inter-individual differences in the timing of injury evolution, severity, and underlying pathophysiological processes may contribute to variability in EPOR expression levels. Future investigations with larger cohorts, longitudinal follow-up, and experimental modulation of EPOR signaling are warranted to clarify further the biological and clinical significance of EPOR in AKI.

In conclusion, this study demonstrates that EPOR expression is upregulated in renal tubular epithelial cells in human AKI and is closely associated with histopathological injury severity and selected clinical parameters. These findings suggest that EPOR may serve as a marker of tubular stress and injury severity in AKI, providing a foundation for future mechanistic and translational studies.

Supplementary Material

Supplementary file1.pptx

Acknowledgments

The author thanks the patients and doctors who participated in the research. K.X. Conception and design of the study; the acquisition of data and data analysis, interpretation of data; drafting of and substantive revision of the manuscript. C.X. The acquisition of data and data analysis; substantive revision of the manuscript. C.L.M. The acquisition of data, substantive revision of the manuscript. D.L.X. Design of the study, statistical data analysis, and interpretation. G.Z. The acquisition of data and data analysis, in particular regarding histopathological evaluation. M.J.L. The acquisition of data and data analysis, in particular regarding I/R. L.L.F. Conception and design of the study; interpretation of data; substantive revision of the manuscript. L.M.Z. Conception and design of the study; data analysis, interpretation of data; Drafting of and substantive revision of the manuscript. R.W. Conception and design of the study; data analysis, interpretation of data; All authors have approved the submitted version and agreed both to be personally accountable for their and to ensure that questions related to the accuracy or integrity of any part of the work, even ones in which the author was not personally involved, are appropriately investigated, resolved, and the resolution documented in the literature.

Funding Statement

This work is supported by funds from the Jiangsu Provincial Health Commission (Z2022068) and Northern Jiangsu People’s Hospital (SBQN22006). Shanghai Science and Technology Innovation Action Plan of Scientific Instruments and Chemical Reagents Project (24142201800), and China Scholarship Council (202408310237).

Ethics approval and consent to participate

This study adhered throughout to the principles outlined in the revised Declaration of Helsinki. This internationally recognized statement provides ethical guidance for physicians and researchers conducting human subject research. Written informed consent was obtained from all participants. This ensured their comprehension of the study’s nature and their right to withdraw at any point. Confidentiality of participants’ personal information was guaranteed. Furthermore, participants were explicitly informed about the measures taken to ensure anonymity and confidentiality of their data. For added ethical oversight, approval for the study was granted by the Research Ethics Committees of Jiangsu Subei People’s Hospital (Approval No.2022ky030).

Consent for publication

Not applicable.

Disclosure statement

The authors declare no competing interests.

Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  • 1.Kidney Disease: improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group . KDIGO clinical practice guideline for acute kidney injury. Kidney Int Suppl. 2012;2:1–138. doi: 10.1038/kisup.2012.1. [DOI] [Google Scholar]
  • 2.Kaddourah A, Basu RK, Bagshaw SM, et al. Epidemiology of acute kidney injury in critically ill children and young adults. N Engl J Med. 2017;376(1):11–20. doi: 10.1056/NEJMoa1611391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Brown JR, Kramer RS, Coca SG, et al. Duration of acute kidney injury impacts long-term survival after cardiac surgery. Ann Thorac Surg. 2010;90(4):1142–1148. doi: 10.1016/j.athoracsur.2010.04.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Chen W, Tang Y, Si Y, et al. Association of life’s essential 8 with prevalence and all-cause mortality of chronic kidney disease among US adults: results from the National Health and Nutrition Examination Survey (2015–2018). J Transl Int Med. 2024;12(6):581–591. doi: 10.1515/jtim-2023-0119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Yu S, Yang H, Wang B, et al. Nomogram for predicting risk of mild renal dysfunction among general residents from rural Northeast China. J Transl Int Med. 2024;12(3):244–252. doi: 10.2478/jtim-2023-0003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Chateauvieux S, Grigorakaki C, Morceau F, et al. Erythropoietin, erythropoiesis and beyond. Biochem Pharmacol. 2011;82(10):1291–1303. doi: 10.1016/j.bcp.2011.06.045. [DOI] [PubMed] [Google Scholar]
  • 7.Brines M, Grasso G, Fiordaliso F, et al. Erythropoietin mediates tissue protection through an erythropoietin and common beta-subunit heteroreceptor. Proc Natl Acad Sci USA. 2004;101(41):14907–14912. doi: 10.1073/pnas.0406491101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Jelkmann W, Bohlius J, Hallek M, et al. The erythropoietin receptor in normal and cancer tissues. Crit Rev Oncol Hematol. 2008;67(1):39–61. doi: 10.1016/j.critrevonc.2008.03.006. [DOI] [PubMed] [Google Scholar]
  • 9.Hu MC, Shi M, Cho HJ, et al. The erythropoietin receptor is a downstream effector of klotho-induced cytoprotection. Kidney Int. 2013;84(3):468–481. doi: 10.1038/ki.2013.149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Brines M. The therapeutic potential of erythropoiesis-stimulating agents for tissue protection: a tale of two receptors. Blood Purif. 2010;29(2):86–92. doi: 10.1159/000245630. [DOI] [PubMed] [Google Scholar]
  • 11.D’Andrea RJ, Gonda TJ.. A model for assembly and activation of the GM-CSF, IL-3 and IL-5 receptors: insights from activated mutants of the common beta subunit. Exp Hematol. 2000;28(3):231–243. doi: 10.1016/S0301-472X(99)00159-9. [DOI] [PubMed] [Google Scholar]
  • 12.Murphy JM, Young IG.. IL-3, IL-5, and GM-CSF signaling: crystal structure of the human beta-common receptor. Vitam Horm. 2006;74:1–30. doi: 10.1016/S0083-6729(06)74001-8. [DOI] [PubMed] [Google Scholar]
  • 13.Uversky VN, Redwan EM.. Erythropoietin and co.: intrinsic structure and functional disorder. Mol Biosyst. 2016;13(1):56–72. doi: 10.1039/c6mb00657d. [DOI] [PubMed] [Google Scholar]
  • 14.Collino M, Thiemermann C, Cerami A, et al. Flipping the molecular switch for innate protection and repair of tissues: long-lasting effects of a non-erythropoietic small peptide engineered from erythropoietin. Pharmacol Ther. 2015;151:32–40. doi: 10.1016/j.pharmthera.2015.02.005. [DOI] [PubMed] [Google Scholar]
  • 15.Kitamura H, Isaka Y, Takabatake Y, et al. Nonerythropoietic derivative of erythropoietin protects against tubulointerstitial injury in a unilateral ureteral obstruction model. Nephrol Dial Transplant. 2008;23(5):1521–1528. doi: 10.1093/ndt/gfm842. [DOI] [PubMed] [Google Scholar]
  • 16.Yang C, Zhao T, Lin M, et al. Helix B surface peptide administered after insult of ischemia reperfusion improved renal function, structure and apoptosis through beta common receptor/erythropoietin receptor and PI3K/Akt pathway in a murine model. Exp Biol Med (Maywood). 2013;238(1):111–119. doi: 10.1258/ebm.2012.012185. [DOI] [PubMed] [Google Scholar]
  • 17.Shi M, Flores B, Li P, et al. Effects of erythropoietin receptor activity on angiogenesis, tubular injury, and fibrosis in acute kidney injury: a “U-shaped” relationship. Am J Physiol Renal Physiol. 2018;314(4):F501–F516. doi: 10.1152/ajprenal.00306.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Heitrich M, García DM, Stoyanoff TR, et al. Erythropoietin attenuates renal and pulmonary injury in polymicrobial induced-sepsis through EPO-R, VEGF and VEGF-R2 modulation. Biomed Pharmacother. 2016;82:606–613. doi: 10.1016/j.biopha.2016.05.045. [DOI] [PubMed] [Google Scholar]
  • 19.Stoyanoff TR, Todaro JS, Aguirre MV, et al. Amelioration of lipopolysaccharide-induced acute kidney injury by erythropoietin: involvement of mitochondria-regulated apoptosis. Toxicology. 2014;318:13–21. doi: 10.1016/j.tox.2014.01.011. [DOI] [PubMed] [Google Scholar]
  • 20.Stoyanoff TR, Rodríguez JP, Todaro JS, et al. Erythropoietin attenuates LPS-induced microvascular damage in a murine model of septic acute kidney injury. Biomed Pharmacother. 2018;107:1046–1055. doi: 10.1016/j.biopha.2018.08.087. [DOI] [PubMed] [Google Scholar]
  • 21.Funakoshi-Tago M, Pelletier S, Moritake H, et al. Jak2 FERM domain interaction with the erythropoietin receptor regulates Jak2 kinase activity. Mol Cell Biol. 2008;28(5):1792–1801. doi: 10.1128/MCB.01447-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Chin H, Wakao H, Miyajima A, et al. Erythropoietin induces tyrosine phosphorylation of the interleukin-3 receptor beta subunit (betaIL3) and recruitment of Stat5 to possible Stat5-docking sites in Betail3. Blood. 1997;89(12):4327–4336. doi: 10.1182/blood.V89.12.4327. [DOI] [PubMed] [Google Scholar]
  • 23.Zhang J, Zou YR, Zhong X, et al. Erythropoietin pretreatment ameliorates renal ischaemia-reperfusion injury by activating PI3K/Akt signalling. Nephrology (Carlton). 2015;20(4):266–272. doi: 10.1111/nep.12384. [DOI] [PubMed] [Google Scholar]
  • 24.Rosenberger C, Mandriota S, Jürgensen JS, et al. Expression of hypoxia-inducible factor-1alpha and −2alpha in hypoxic and ischemic rat kidneys. J Am Soc Nephrol. 2002;13(7):1721–1732. doi: 10.1097/01.asn.0000017223.49823.2a. [DOI] [PubMed] [Google Scholar]
  • 25.Conde E, Alegre L, Blanco-Sánchez I, et al. Hypoxia inducible factor 1-alpha (HIF-1 alpha) is induced during reperfusion after renal ischemia and is critical for proximal tubule cell survival. PLoS One. 2012;7(3):e33258. doi: 10.1371/journal.pone.0033258. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary file1.pptx

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


Articles from Renal Failure are provided here courtesy of Taylor & Francis

RESOURCES