Revised: April 25, 2026
Accepted: June 16, 2026
Published online: September 25, 2026
Processing time: 182 Days and 11.7 Hours
Protein carbonyls (PCOs) are well-established biomarkers of oxidative stress, closely linked to disease progression and therapeutic responses across various pathological conditions.
To assess serum PCO titres as an indicator of oxidative damage in prevalent hemodialysis (HD) patients and to explore their association with nutritional status.
This controlled cross-sectional study included 60 patients with end-stage renal disease (ESRD), aged 18-65 years, undergoing maintenance HD three times per week for at least six months. All participants were treated through the same high-flux dialyzer equipped with a polysulfone membrane. A control group of 30 healthy individuals was also enrolled. Serum PCO titres were measured in all participants.
The ESRD group exhibited significantly higher values of systolic blood pressure, serum creatinine, serum phosphate, C-reactive protein, and PCO than the control group. In contrast, hemoglobin titres and serum albumin titres were significantly diminished in ESRD patients. Receiver operating characteristic curve analysis of serum PCO demonstrated excellent discriminatory capacity, with a cut-off value of 115 pmol/mg yielding 93.3% sensitivity and 100% specificity. A significant positive correlation was found between C-reactive protein titres and both age and parathyroid hormone concentrations in the ESRD group. Additionally, nutritional status was significantly worse in ESRD patients than in controls.
Serum PCO titres were markedly elevated in ESRD patients undergoing HD, reflecting enhanced oxidative stress. Given its high diagnostic accuracy, PCO can act as a sensitive and reliable marker for oxidative stress in ESRD.
Core Tip: Serum protein carbonyl titres were markedly elevated in end-stage renal disease patients undergoing hemodialysis, reflecting enhanced oxidative stress. Given its high diagnostic accuracy, protein carbonyl can act as a sensitive and reliable marker for oxidative stress in end-stage renal disease.
- Citation: Aref H, Abd Allah HSH, Abd El Monem AG, Abd El Mobdy AH. Protein carbonyl: A sensitive marker reflecting oxidative stress in prevalent hemodialysis patients. World J Nephrol 2026; 15(3): 119962
- URL: https://www.wjgnet.com/2220-6124/full/v15/i3/119962.htm
- DOI: https://dx.doi.org/10.5527/wjn.119962
Uremia and hemodialysis (HD) are known to promote increased generation of reactive oxygen species while concurrently reducing antioxidant defenses in individuals undergoing HD[1,2]. Beyond the intrinsic impact of HD, several dialysis-related variables critically influence oxidative stress titres in this patient population. These include dialysis duration, iron supplementation, anemia, the presence of a central venous catheter, vascular access type and dysfunction, the nature of dialyzer membranes, HD modality, and anticoagulation practices[3].
Oxidative stress is increasingly acknowledged as a crucial element in the initiation and advancement of chronic kidney disease (CKD), and it also significantly influences renal replacement treatment. The cellular damage induced by oxidative stress is linked to the development of several systemic complications in CKD, including anemia, inflammation, atherosclerosis, hypertension, cardiovascular disease, and compromised immune responses[4].
A multifactorial chronic inflammatory state is observed in CKD, with key contributors including increased production of pro-inflammatory cytokines, oxidative stress, metabolic acidosis, recurrent or chronic infections, intestinal dysbiosis, and disruptions in adipose tissue metabolism[5]. Additionally, HD subjects are exposed to procedural stressors that compound their risk profile, such as rapid fluctuations in plasma electrolyte concentrations, hemodynamic strain re
Inflammatory processes are characterized by elevated titres of mediators such as cytokines (interleukin-1, interleukin-6, tumor necrosis factor-α), adipokines, acute-phase proteins [primarily C-reactive protein (CRP)], and adhesion molecules. These biomarkers are closely associated with CKD-related complications, as confirmed by clinical investigations[6].
Oxidative stress is detectable in early stages of CKD[7] and progressively intensifies with disease progression, be
The practical advantages of assessing plasma proteins, namely, ease of sampling and the relatively extended half-life of many plasma proteins, render PCO a particularly valuable biomarker for oxidative damage in the CKD population[9].
Accordingly, this study was conducted to evaluate serum PCO level as an index of oxidative injury among prevalent HD patients and to examine its correlation with nutritional status.
This controlled cross-sectional study enrolled 60 adult patients, aged between 18 years and 65 years, all diagnosed with end-stage renal disease (ESRD) and undergoing maintenance HD thrice weekly for a minimum duration of six months. All participants received HD under standardized conditions through high-flux dialyzers equipped with polysulfone membranes. A comparison group consisting of 30 healthy individuals was also included.
The study took place from September 2022 to February 2023, following approval by the Ethical Committee of Ain Shams University, Cairo, Egypt, and in accordance with the principles outlined in the Declaration of Helsinki (No. MS 850/2022). The patient’s informed consent form has been provided. The form confirms that the patient (or legal guardian) agreed to participate and to the publication of the clinical data for scientific purposes.
Exclusion criteria included the presence of acute infections within the three months preceding enrollment, as well as comorbidities known to influence serum PCO titres, such as liver cirrhosis, chronic inflammatory conditions, maligna
All enrolled patients underwent comprehensive clinical evaluation and laboratory investigations. The latter encom
Blood samples were collected in sterile, pre-labeled tubes and preserved at -20 °C until further analysis. Serum PCO titres (ng/mL) were quantified through a commercially available enzyme-linked immunosorbent assay kit (Human PCO ELISA Kit, CAT: E1246Hu; Bioassay Technology Laboratory, China), following the manufacturer’s instructions. The assays were performed through an enzyme-linked immunosorbent assay plate reader (DAS Plate Reader, SN 2006, Italy).
Briefly, serum samples and standards were added to pre-coated microplate wells containing monoclonal anti-human PCO antibodies and incubated under specified conditions. Calibration of the assay was achieved through a standard curve generated from serial dilutions of the provided standards, and sample concentrations were calculated accordingly.
Following incubation, biotinylated anti-human PCO antibodies were added, followed by streptavidin-horseradish peroxidase conjugate. After appropriate washing steps to remove unbound reagents, a substrate solution was introduced to produce a colorimetric reaction proportional to the PCO concentration. The reaction was terminated through an acidic stop solution, and absorbance was measured at 450 nm.
All samples were analyzed in duplicate to ensure assay reproducibility, and the intra-assay coefficient of variation was maintained below 10%. Quality control samples were included in each assay run to ensure accuracy and consistency of the measurements.
Sample size was calculated through PASS 11.0 and based on a study by Dimitrijevic et al[10]. A sample of 90 subjects has 96% power to detect a difference of 0.5000 and an area under the curve of 0.7700 under the alternative hypothesis, through a two-sided Z-test at a significance level of 0.0050. The data are discrete (rating-scale) responses.
For the statistical analysis, IBM SPSS Statistics version 27 (IBM©, Chicago, IL, United States) was employed. To assess the normality of the data distribution, both the Shapiro-Wilk test and visual inspection of histograms were used. For normally distributed quantitative data, results were presented as mean ± SD, and one-way analysis of variance was performed, followed by Tukey’s post hoc comparisons to identify significant differences between groups. In cases where data did not conform to a normal distribution, the median and interquartile range were used to summarize the data. Group comparisons for non-normally distributed data were conducted through the Kruskal-Wallis test, followed by pairwise comparisons with the Mann-Whitney U test to examine differences between specific groups. Categorical va
There was no significant difference between the two groups regarding either of these factors. SBP was significantly elevated in the ESRD group as opposed to controls (P < 0.001; Table 1).
| Item | ESRD group (n = 60) | Control group (n = 30) | P value | |
| Age (years) | 51.5 ± 13.5 | 53 ± 12 | 0.5941 | |
| BMI | 29.32 ± 6.4 | 28.83 ± 6.8 | 0.7401 | |
| Sex | Male | 34 (56.7) | 18 (60) | 0.7632 |
| Female | 26 (43.3) | 12 (40) | ||
| Smoking | Smoker | 13 (21.7) | 6 (20) | 0.8552 |
| Non-smoker | 47 (78.3) | 24 (80) | ||
| Clinical data | SBP (mmHg) | 140.4 ± 14.7 | 125.4 ± 9.8 | < 0.0011 |
| DBP (mmHg) | 85.3 ± 7.8 | 84.5 ± 6.6 | 0.674 | |
In the ESRD group, the mean dialysis vintage was 5.7 ± 4.2 years, and 95.6% of patients had an A-V shunt as their access. The most common etiology of ESRD was hypertensive nephropathy (21.1%), followed by diabetic nephropathy and glomerulonephritis (12.2% each). The most important comorbidities were hypertension (70%), followed by diabetes mellitus and ischemic heart disease (23.3% each). Mean interdialytic weight gain was 2.58 ± 0.65. The most frequently administered medications were one-alpha (33.3%) and IV iron (26.7%) (Table 2).
| Item | n = 60 | |
| Dialysis vintage (years) | 5.7 ± 4.2 | |
| Access | A-V shunt | 58 (95.6) |
| Permcath | 2 (4.4) | |
| ESRD etiology | Analgesic nephropathy | 5 (5.6) |
| Diabetic nephropathy | 11 (12.2) | |
| Glomerulonephritis | 11 (12.2) | |
| Hypertensive nephropathy | 19 (21.1) | |
| Obstructive uropathy | 5 (5.6) | |
| Systemic lupus erythematosus | 3 (3.3) | |
| Urinary tract infection | 4 (4.4) | |
| Unknown | 2 (2.2) | |
| Comorbidities | Diabetes mellitus | 14 (23.3) |
| Hypertension | 42 (70) | |
| Ischemic heart disease | 14 (23.3) | |
| Cerebrovascular disease | 1 (1.7) | |
| Heart failure | 6 (6.7) | |
| Interdialytic weight gain | 2.58 ± 0.65 | |
| 1 | 2 (3.3) | |
| 2 | 29 (48.3) | |
| 3 | 26 (28.9) | |
| 4 | 3 (3.3) | |
| Medications used | Intravenous iron | 24 (26.7) |
| Ator | 12 (13.3) | |
| Cinacalcet | 8 (8.9) | |
| One-alpha | 30 (33.3) | |
Serum creatinine, serum PO4, CRP, and PCO were significantly elevated in the ESRD group as opposed to controls. On the other hand, hemoglobin titres and serum ALB were significantly decreased in ESRD than in controls (Table 3).
| Item | ESRD group (n = 60) | Control group (n = 30) | P value |
| Hemoglobin (gm/dL) | 10.83 ± 1.4 | 11.51 ± 2.7 | 0.015a,1 |
| Creatinine (mg/dL) | 11.36 ± 2.8 | 1.3 ± 0.5 | < 0.001a,1 |
| ALB (gm/dL) | 3.88 ± 0.5 | 4.42 ± 0.5 | < 0.001a,1 |
| Ca (mg/dL) | 9.34 ± 4.6 | 10.76 ± 1.7 | 0.071 |
| PO4 (mg/dL) | 5.23 ± 2.1 | 3.97 ± 0.4 | 0.021a,1 |
| Urea (pre) (mg/dL) | 146.6 ± 32.4 | - | - |
| Urea (post) (mg/dL) | 55.7 ± 20.7 | - | - |
| PTH (pg/mL) | 449.7 ± 301.3 | - | - |
| Ferritin (ng/mL) | 389.3 ± 253.4 | - | - |
| CRP (mg/dL) | 16.8 ± 14.3 | 1 ± 2.3 | < 0.001a,1 |
| PCO (pmol/mg) | 239.8 ± 107.7 | 72.2 ± 16.7 | < 0.0012 |
Receiver operating characteristic curve analysis of serum PCO revealed excellent discriminative power at a cut-off of 115 pmol/mg, providing 93.3% sensitivity and 100% specificity (Figure 1).
Analysis of the correlation between CRP and clinical and laboratory data in the ESRD group revealed significant positive correlations between serum CRP and patients’ age and PTH titres. Analysis of the correlation between PCO and clinical and laboratory data in the ESRD group revealed no significant correlations (Table 4).
| Item | CRP (mg/dL) | PCO (pmol/mg) | ||
| r value | P value | r value | P value | |
| Age (years) | 0.292 | 0.023a | 0.099 | 0.353 |
| BMI | 0.155 | 0.145 | -0.014 | 0.899 |
| SBP (mmHg) | -0.004 | 0.972 | 0.085 | 0.425 |
| DBP (mmHg) | -0.078 | 0.468 | 0.144 | 0.175 |
| Hemoglobin (gm/dL) | -0.120 | 0.261 | -0.030 | 0.780 |
| Creatinine (mg/dL) | -0.045 | 0.676 | -0.085 | 0.428 |
| ALB (gm/dL) | -0.061 | 0.569 | -0.164 | 0.122 |
| Ca (mg/dL) | 0.205 | 0.052 | -0.022 | 0.834 |
| PO4 (mg/dL) | -0.028 | 0.795 | -0.163 | 0.126 |
| Urea (pre) (mg/dL) | 0.033 | 0.757 | 0.186 | 0.079 |
| Urea (post) (mg/dL) | 0.113 | 0.289 | 0.213 | 0.103 |
| PTH (pg/mL) | 0.371 | 0.004a | -0.077 | 0.470 |
| Ferritin (ng/mL) | -0.249 | 0.112 | 0.051 | 0.750 |
Assessment of nutritional status between the two groups revealed significantly worse nutritional status in the ESRD group as opposed to the control group. Comparison between nutritional status and PCO in the ESRD group revealed no significant associations (Table 5).
| Item | Well | Mild | Moderate | Severe | P value |
| ESRD group | 23 (38.3) | 6 (10) | 30 (50) | 1 (1.7) | < 0.001a |
| Control group | 14 (46.7) | 13 (43.3) | 3 (10) | 0 (0) | - |
| PCO (pmol/mg) | 245.8 ± 116.5 | 190 ± 57.1 | 249.8 ± 104.8 | 260 | 0.526 |
Individuals with ESRD exhibit increased morbidity and mortality relative to age-matched counterparts in the general population, with cardiovascular complications and infections constituting the primary etiologys of death in this population[11].
Analysis of clinical and laboratory data showed that the ESRD group had significantly elevated SBP, serum creatinine, and serum PO4 titres in contrast with the control group. On the other hand, hemoglobin titres and serum ALB were significantly decreased in ESRD than in controls. This was predicted as a result of chronic kidney damage that leads to failure of the excretory and endocrine functions with subsequent elevation of blood pressure, serum urea and creatinine, anemia, and hypoalbuminemia, as previously mentioned in several articles[12,13].
In the current study, assessment of CRP and PCO revealed significantly elevated titres in the ESRD group as opposed to controls. These findings are consistent with those of Oberg et al[14] who demonstrated that plasma PCO titres were markedly elevated in patients with CKD than in healthy individuals. Similarly, Colombo et al[12] reported elevated titres of oxidative stress markers in ESRD, including a significant increase in plasma advanced oxidation protein products. The same results were reported by Pavone et al[15] and Colombo et al[16]. As in ESRD patients, Pavone et al[15] and Colombo et al[16] observed a small increase in plasma PCO titres after HD as opposed to the pre-HD value.
In this study, serum PCO revealed excellent discriminative power at a cut-off of 115 pmol/mg, providing 93.3% sensitivity and 100% specificity. Dimitrijevic et al[10] conducted a study to assess the impact of oxidative stress on myocardial remodeling in ESRD. In their analysis, PCO titres were assessed in a cohort of 104 individuals undergoing HD, alongside transthoracic echocardiographic evaluation. The results showed that patients with left ventricular hypertrophy had significantly higher plasma PCO titres than those with normal ventricular geometry. There was no significant correlation between PCO and clinical and laboratory data in the ESRD group. This was contradictory to the results reported by Song et al[17] exhibited that carbonyl protein titres were correlated negatively with serum titres of ALB and transferrin. Low serum ALB titres indicate systemic inflammation and oxidative stress, as well as potential malnutrition or malabsorption. Notably, ALB serves as a key extracellular antioxidant, playing a crucial role in counteracting oxidative damage.
A novel intervention to diminish PCO titres in HD patients was reported by Ghoraba et al[18], who conducted a case-control study to explore the effect of an aerobic exercise training program during HD on oxidative stress markers, including PCO. PCO titres were significantly decreased in patients who underwent the aerobic exercise training program than in those who didn’t apply for the program.
In terms of nutritional assessment, the ESRD group exhibited markedly poorer nutritional status compared to the control group, with 38.3% of patients classified as well-nourished, 10% as mildly malnourished, 50% as moderately malnourished, and 1.7% as severely malnourished. Nonetheless, serum PCO titres and nutritional status exhibited no significant correlation within the ESRD group. However, Peng et al[19] reported more favorable nutritional outcomes, despite including an older patient population (mean age 63.47 ± 13.95 years), with 58.3% of patients well-nourished, 38.6% mildly to moderately malnourished, and only 3.1% severely malnourished. This difference may be explained by the larger sample size in their study. Lin and Hung[20] explored the association between nutritional status and HD patients through SGA. Total 96 cases were enrolled in the study, and the majority of patients (76%) had normal nutritional status, 24% had moderate nutritional status, and none had severe nutritional status. Moreover, consistent with our results, Song et al[17] reported that the SGA score was a significant predictor for serum PCO titres.
Analysis of the correlation between CRP and clinical and laboratory data in the ESRD group revealed a significant positive correlation between serum CRP and patients’ age and PTH titres.
The observed positive correlation between CRP, age, and PTH titres may reflect the complex interplay between chronic inflammation, aging, and secondary hyperparathyroidism in ESRD. Aging is associated with a progressive increase in systemic inflammatory activity, often referred to as inflammaging, characterized by elevated circulating inflammatory mediators, including CRP[21]. Additionally, elevated PTH titres in ESRD are frequently associated with increased oxidative stress, endothelial dysfunction, and vascular calcification. High PTH acts as a uremic toxin, directly contri
This study has several limitations, including a relatively small sample size and a single-center facility, which may limit the generalizability of findings. The cross-sectional design does not allow causal relationships among oxidative stress, inflammation, and nutritional status to be established; longitudinal studies are needed to confirm temporal associations. Second, although nutritional status was assessed through SGA and serum ALB, ALB may be influenced by inflammation and hydration status, limiting its specificity as an isolated nutritional marker. Additional validated nutritional tools and biomarkers could provide a more comprehensive assessment. Finally, some potential confounding factors affecting oxidative stress, such as dietary intake, physical activity, smoking status, and medication use, were not fully controlled. Larger prospective multicenter studies are recommended to confirm these findings.
Clinical and laboratory parameter comparisons between the two groups revealed significantly elevated SBP, serum creatinine, and PO4 titres in the ESRD group compared to controls. Conversely, hemoglobin titres and serum ALB were significantly diminished in the ESRD. Evaluation of CRP and PCO titres also showed significantly elevated titres in ESRD relative to the controls. Regarding nutritional status, the ESRD group demonstrated significantly worse outcomes, with only 38.3% of patients classified as well-nourished, 10% as mildly malnourished, 50% as moderately malnourished, and 1.7% as severely malnourished. However, no significant association was found between PCO titres and nutritional status within the ESRD group.
| 1. | Liakopoulos V, Roumeliotis S, Gorny X, Dounousi E, Mertens PR. Oxidative Stress in Hemodialysis Patients: A Review of the Literature. Oxid Med Cell Longev. 2017;2017:3081856. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 88] [Cited by in RCA: 159] [Article Influence: 17.7] [Reference Citation Analysis (0)] |
| 2. | Bogacka A, Olszewska M, Ciechanowski K. Effects of Diet and Supplements on Parameters of Oxidative Stress, Inflammation, and Antioxidant Mechanisms in Patients with Chronic Renal Failure Undergoing Hemodialysis. Int J Mol Sci. 2024;25:11036. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 6] [Reference Citation Analysis (0)] |
| 3. | Liakopoulos V, Roumeliotis S, Zarogiannis S, Eleftheriadis T, Mertens PR. Oxidative stress in hemodialysis: Causative mechanisms, clinical implications, and possible therapeutic interventions. Semin Dial. 2019;32:58-71. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 64] [Cited by in RCA: 91] [Article Influence: 11.4] [Reference Citation Analysis (0)] |
| 4. | Colombo G, Reggiani F, Angelini C, Finazzi S, Astori E, Garavaglia ML, Landoni L, Portinaro NM, Giustarini D, Rossi R, Santucci A, Milzani A, Badalamenti S, Dalle-Donne I. Plasma Protein Carbonyls as Biomarkers of Oxidative Stress in Chronic Kidney Disease, Dialysis, and Transplantation. Oxid Med Cell Longev. 2020;2020:2975256. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 9] [Cited by in RCA: 20] [Article Influence: 3.3] [Reference Citation Analysis (0)] |
| 5. | Rapa SF, Di Iorio BR, Campiglia P, Heidland A, Marzocco S. Inflammation and Oxidative Stress in Chronic Kidney Disease-Potential Therapeutic Role of Minerals, Vitamins and Plant-Derived Metabolites. Int J Mol Sci. 2019;21:263. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 419] [Cited by in RCA: 348] [Article Influence: 49.7] [Reference Citation Analysis (1)] |
| 6. | Ruiz S, Pergola PE, Zager RA, Vaziri ND. Targeting the transcription factor Nrf2 to ameliorate oxidative stress and inflammation in chronic kidney disease. Kidney Int. 2013;83:1029-1041. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 543] [Cited by in RCA: 591] [Article Influence: 45.5] [Reference Citation Analysis (7)] |
| 7. | Karamouzis I, Sarafidis PA, Karamouzis M, Iliadis S, Haidich AB, Sioulis A, Triantos A, Vavatsi-Christaki N, Grekas DM. Increase in oxidative stress but not in antioxidant capacity with advancing stages of chronic kidney disease. Am J Nephrol. 2008;28:397-404. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 75] [Cited by in RCA: 84] [Article Influence: 4.4] [Reference Citation Analysis (0)] |
| 8. | Six I, Flissi N, Lenglet G, Louvet L, Kamel S, Gallet M, Massy ZA, Liabeuf S. Uremic Toxins and Vascular Dysfunction. Toxins (Basel). 2020;12:404. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 24] [Cited by in RCA: 67] [Article Influence: 11.2] [Reference Citation Analysis (0)] |
| 9. | Poulianiti KP, Kaltsatou A, Mitrou GI, Jamurtas AZ, Koutedakis Y, Maridaki M, Stefanidis I, Sakkas GK, Karatzaferi C. Systemic Redox Imbalance in Chronic Kidney Disease: A Systematic Review. Oxid Med Cell Longev. 2016;2016:8598253. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 68] [Cited by in RCA: 67] [Article Influence: 6.7] [Reference Citation Analysis (0)] |
| 10. | Dimitrijevic ZM, Salinger Martinovic SS, Nikolic VN, Cvetkovic TP. Protein Carbonyl Content Is a Predictive Biomarker of Eccentric Left Ventricular Hypertrophy in Hemodialysis Patients. Diagnostics (Basel). 2019;9:202. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 3] [Cited by in RCA: 9] [Article Influence: 1.3] [Reference Citation Analysis (4)] |
| 11. | Cheng HT, Xu X, Lim PS, Hung KY. Worldwide Epidemiology of Diabetes-Related End-Stage Renal Disease, 2000-2015. Diabetes Care. 2021;44:89-97. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 265] [Cited by in RCA: 240] [Article Influence: 48.0] [Reference Citation Analysis (3)] |
| 12. | Colombo G, Reggiani F, Astori E, Altomare A, Finazzi S, Garavaglia ML, Angelini C, Milzani A, Badalamenti S, Dalle-Donne I. Advanced oxidation protein products in nondiabetic end stage renal disease patients on maintenance haemodialysis. Free Radic Res. 2019;53:1114-1124. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 10] [Cited by in RCA: 13] [Article Influence: 1.9] [Reference Citation Analysis (0)] |
| 13. | Lopez-Giacoman S, Madero M. Biomarkers in chronic kidney disease, from kidney function to kidney damage. World J Nephrol. 2015;4:57-73. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in CrossRef: 321] [Cited by in RCA: 252] [Article Influence: 22.9] [Reference Citation Analysis (0)] |
| 14. | Oberg BP, McMenamin E, Lucas FL, McMonagle E, Morrow J, Ikizler TA, Himmelfarb J. Increased prevalence of oxidant stress and inflammation in patients with moderate to severe chronic kidney disease. Kidney Int. 2004;65:1009-1016. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 514] [Cited by in RCA: 539] [Article Influence: 24.5] [Reference Citation Analysis (0)] |
| 15. | Pavone B, Sirolli V, Giardinelli A, Bucci S, Forlì F, Di Cesare M, Sacchetta P, Di Pietro N, Pandolfi A, Urbani A, Bonomini M. Plasma protein carbonylation in chronic uremia. J Nephrol. 2011;24:453-464. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 21] [Cited by in RCA: 24] [Article Influence: 1.6] [Reference Citation Analysis (0)] |
| 16. | Colombo G, Reggiani F, Cucchiari D, Astori E, Garavaglia ML, Portinaro NM, Saino N, Finazzi S, Milzani A, Badalamenti S, Dalle-Donne I. Plasma Protein Carbonylation in Haemodialysed Patients: Focus on Diabetes and Gender. Oxid Med Cell Longev. 2018;2018:4149681. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 12] [Cited by in RCA: 14] [Article Influence: 1.8] [Reference Citation Analysis (0)] |
| 17. | Song YR, Kim JK, Lee HS, Kim SG, Choi EK. Serum levels of protein carbonyl, a marker of oxidative stress, are associated with overhydration, sarcopenia and mortality in hemodialysis patients. BMC Nephrol. 2020;21:281. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 16] [Cited by in RCA: 47] [Article Influence: 7.8] [Reference Citation Analysis (0)] |
| 18. | Ghoraba R, Karami-Mohajeri S, Behdarvand A, Saber A. Oxidative Stress and Hemodialysis: The Role of Aerobic Exercise Training on the Various Laboratory Parameters. J Kerman Univ Med Sci. 2022;29:553-558. [DOI] [Full Text] |
| 19. | Peng H, Aoieong C, Tou T, Tsai T, Wu J. Clinical assessment of nutritional status using the modified quantified subjective global assessment and anthropometric and biochemical parameters in patients undergoing hemodialysis in Macao. J Int Med Res. 2021;49:3000605211045517. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 6] [Reference Citation Analysis (0)] |
| 20. | Lin TY, Hung SC. Association of subjective global assessment of nutritional status with gut microbiota in hemodialysis patients: a case-control study. Nephrol Dial Transplant. 2021;36:1104-1111. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 6] [Cited by in RCA: 22] [Article Influence: 3.7] [Reference Citation Analysis (0)] |
| 21. | Kaur J, Kaur H, Singh B, Verma A, Sharma A. Evaluation of modified hematological scoring system and platelet indices in diagnosing neonatal sepsis-A cross-sectional study. Indian J Pathol Microbiol. 2025;68:568-572. [RCA] [PubMed] [DOI] [Full Text] [Reference Citation Analysis (0)] |
| 22. | Siracusa C, Carabetta N, Morano MB, Manica M, Strangio A, Sabatino J, Leo I, Castagna A, Cianflone E, Torella D, Andreucci M, Zicarelli MT, Musolino M, Bolignano D, Coppolino G, De Rosa S. Understanding Vascular Calcification in Chronic Kidney Disease: Pathogenesis and Therapeutic Implications. Int J Mol Sci. 2024;25:13096. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 38] [Cited by in RCA: 41] [Article Influence: 20.5] [Reference Citation Analysis (1)] |
| 23. | Pepe J, Minisola S, Ettorre E, Desideri G, Cipriani C. Cardiovascular Involvement in Primary Hyperparathyroidism. J Clin Endocrinol Metab. 2026;111:603-614. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 1] [Reference Citation Analysis (0)] |