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PERSPECTIVE article

Front. Nephrol., 03 December 2024
Sec. Blood Purification

The Janus-faced nature of complement in hemodialysis: interplay between complement, inflammation, and bioincompatibility unveiling a self-amplifying loop contributing to organ damage

  • 1School of Medicine, University of Montpellier, Montpellier, France
  • 2Dept of Renal Medicine, Karolinska University Hospital, Stockholm, Sweden
  • 3Fresenius SE & Co. KGaA, Bad Homburg, Germany
  • 4Dialysis-at-Crossroads (D@X) Advisory, Bad Nauheim, Germany
  • 5Center for Hemolytic Uremic Syndrome (HUS) Prevention, Control, and Management at the Nephrology and Dialysis Unit, Fondazione Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy

In hemodialysis (HD), complement activation, bioincompatibility, and inflammation are intricately intertwined. In the 1970s, as HD became a routine therapy, the observation of complement pathway activation and transient leukopenia by cellulosic dialysis membranes triggered the bioincompatibility debate and its clinical relevance. Extensive deliberations have covered definitions, assessment markers, scope, and long-term clinical consequences of membrane-dependent bioincompatibility reactions. While complement pathways’ interplay with coagulation and inflammation has been delineated, HD’s focus has primarily been on developing more biocompatible membranes using advanced technologies. Recent advances and understanding of the current HD delivery mode (4-hour sessions, thrice weekly) suggest that factors beyond membrane characteristics play a significant role, and a more complex, multifactorial picture of bioincompatibility is emerging. Chronic activation of the complement system and persistent low-grade “uremic inflammation” in chronic kidney disease (CKD) and HD lead to premature inflammaging of the kidney, resembling aging in the general population. Cellular senescence, modulated by complement activation and the uremic milieu, contributes to chronic inflammaging. Additionally, the formation of neutrophil extracellular traps (NETs, process of NETosis) during HD and their biological activity in the interdialytic period can lead to dialysis-induced systemic stress. Thus, complement-inflammation manifestations in HD therapies extend beyond traditional membrane-related bioincompatibility consequences. Recent scientific knowledge is reshaping strategies to mitigate detrimental consequences of bioincompatibility, both technologically and in HD therapy delivery modes, to improve dialysis patient outcomes.

1 The complement – hemodialysis axis: the genesis of bioincompatibility

The association of complement system pathways with HD therapy dates back to the early days of maintenance dialysis. In the late sixties and early seventies, Craddock et al. reported acute pulmonary dysfunction caused by complement-mediated leukostasis with cellulose-based membranes (13), mainly Cuprophan being available at scale to meet the growing HD demand. Their findings essentially lead to awareness of the bioincompatibility topic in HD (4). Two main ramifications emerged. Firstly, a debate ensued regarding the clinical effects of bioincompatibility and chronic complement activation (4, 5), leading to extensive research on mechanisms and proposed explanations for clinical sequelae (5, 6). Secondly, complement activation-leukopenia caused by ‘natural’ cellobioses’ high percentage of hydroxyl groups (7) prompted membrane manufacturers to mitigate these effects. Consequently, there was a decline in cellulose-based HD membranes, with a preference shifting towards synthetic polymers, particularly those based on polysulfone-based (8). Continued advancements in HD therapies involve enhanced removal of middle-sized uremic toxins using high-flux membranes and convective therapies, coupled with the utilization of ultrapure dialysis fluids (9).

A significant body of literature details HD membrane-related complement activation and transient leukopenia (10). This narrative assay aims to explore beyond classical measures of bioincompatibility, examining the interplay of residual complement-leukopenia, inflammation, oxidative stress, and endothelial dysfunction pathways in light of newer integrated biomarkers of bioincompatibility.

2 The classical scientific perspective of bioincompatibility in hemodialysis

Even in the early stages of artificial kidney development, it was evident that blood interacting with extracorporeal circuit (ECC) surfaces would elicit reactions (11). Initially, clotting posed a challenge until optimized heparin anticoagulation regimens allowed for completion of 3-4-hour HD sessions (12). Despite heparin’s effectiveness in preventing clot formation in the ECC, it does not inhibit coagulation-platelet or complement-leukocyte pathway activation (13). Blood-material interaction studies revealed sub-macroscopic coagulation cascade activation, assessed by markers like thrombi-antithrombin III (TAT), d-dimer, or prothrombin fragmentF1+2 (14), persisting even with heparin use. Complement activation, effectively inhibited only by divalent cation (Ca++/Mg++) chelating anticoagulants like citrate, continues during HD initiation, reaching peak levels within 15-30 minutes (5). Several authors have detailed the membrane-specific mechanisms and kinetics of activation of complement by different membranes (1518). Pure cellulose membranes, irrespective of the marker used for assessment (e.g., C3a, C5a or terminal complement complex, TCC), peak at around 15 minutes (19), while modified cellulosic and synthetic polymer membranes reach lower peak levels later, usually between 15 to about 60 minutes (20). Post-peak, complement activation decreases but does not revert to pre-dialysis levels. Transient leukopenia sees neutrophil levels increase beyond pre-dialysis levels by HD session end.

Observations of anaphylatoxin formation (C5a, C3a) based on dialyzer membrane type increased focus on other bioincompatibility-related issues in HD (2123). Although rare, true or pseudo membrane-related hypersensitivity reactions (HSRs) are feared complications (2426). This is exemplified by AN69 (polyacrylonitrile) membrane-induced anaphylactic shock reactions concurrent with angiotensin-converting enzyme inhibitors (ACEI) treatment (27). In this case, AN69’s negative charge prompts increased bradykinin formation, with ACEIs preventing its degradation in renal failure patients leading to a sudden and brisk release with vasodilation shock (28, 29). Another recent example has surfaced in the form of small, disseminated outbreaks of HSR-like reactions associated with the use of polysulfone membranes (30, 31), prompting questions regarding their role in complement mimicry, resembling complement activation-related pseudo allergy (CARPA) observed with certain chemicals and nanomedicines (23, 32, 33). While the membrane is the centrepiece of HD, offering the largest surface area and serving as a stimulus for blood-material interaction, the entire ECC, with diverse polymeric materials for the potting, tubing, and bubble trap chamber, and conduit configurations, impacts rheological and bioreactive conditions. This includes dialysis fluid residues (i.e., microbial derived products, endotoxins, or components like acetate) enhancing bioincompatibility reactions (34).

3 An alternative perspective on bioincompatibility in hemodialysis

Beyond HD’s beneficial and life-sustaining detoxification, along with its bioincompatibility consequences, a picture of its unphysiological nature and systemic, long-lasting effects on patient wellbeing emerges (3538). Evidence indicates that repetitive HD contributes to dialysis-induced systemic stress, leading to morbidity by affecting multiple body functions and organs (3942). Beyond physiochemical membrane properties, other mechanisms related to CKD condition itself, and HD delivery modes induce biological changes with systemic consequences (37, 43, 44).

3.1 The Janus-faced role of complement: chronic kidney disease, uremia and hemodialysis procedures

3.1.1 Complement mediates kidney diseases

While the complement cascade is part of innate immunity against invading pathogens (Figure 1), it may also serve as a mediator in various diseases and injuries when imbalance occurs in complement activation and inhibition system (45, 46). Clinical evidence strongly links complement activation to the pathogenesis of several diseases, including renal diseases, contributing for example to the progressive replacement of functioning nephrons by fibrosis (47, 48). Liver-produced circulating complement components activated through classical, mannose-binding lectin, or alternative pathways, mediate pathologic processes (48). Autoantibody-initiated forms of glomerulonephritis (lupus nephritis, anti-glomerular basement membrane disease), anti-neutrophil cytoplasmic autoantibody-induced or membranoproliferative glomerulonephritis, atypical forms of hemolytic uremic syndrome (aHUS), membranous nephropathy (MN), C3 glomerulopathy (C3G), ischemic-reperfusion injury of transplanted kidney, and antibody-mediated renal allograft rejection occur when the immune system becomes overly active (45, 48, 49). It is noteworthy that the kidney was one of the first organs identified as a target of complement-mediated inflammation. The alternative complement pathway is activated in early-stage CKD, contributing to its progression.

Figure 1
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Figure 1. The complement system plays a dual role as depicted here: one side represents its essential role ‘Good’ in innate immunity as a defender against foreign invaders, while the other side reflects its harmful contribution ‘Bad’ to complement-mediated diseases, including those associated with hemodialysis.

Systemic complement activation, particularly fragments Ba and C5b-9, correlates with vascular dysfunction in stage III/IV CKD patients (33, 50). Overactivation of the alternative complement pathway in renal disease, coupled with persistent low-grade inflammation and oxidative stress in early CKD stages, increases sensitivity to complement reactivity with ECC components in HD therapy (51, 52). Complement-mediated kidney diseases result in debilitating symptoms, significantly affecting patients’ quality of life, particularly when permanent HD is required (46, 47, 51).

3.1.2 Key complement factors and cytokines defining uremia

As chronic kidney disease advances, particularly in advanced stages, both complement and inflammation pathways experience increasing activation, reaching peak intensity by CKD stage 5 (53). On one hand, it is now well recognized that repetitive low-grade complement activation induced by hemodialysis, despite the use of synthetic polymer membranes, is associated with higher mortality, particularly of cardiac origin (17, 18, 54). On the other hand, it is also well recognized that inflammation, oxidative stress, and complement activation are interlinked and mutually reinforce their deleterious effects. In end-stage kidney disease (ESKD), elevated plasma levels of complement factor D, Ba, and cytokines such as interleukins: IL-1ß, IL-6, IL-8, IL-10, IL-18 and TNF-alpha as well as leptin, resistin and visfatin) define the uremic syndrome and contribute to the pro-inflammatory status of uremia (5557), (58). However, establishing the biological reactivity or toxicity of these substances has been challenging, as not all compounds at elevated levels express sufficient toxicity to merit their removal in HD (59). Scientific or clinical evidence regarding the toxic potential of individual compounds is often insufficient for classifying them as uremic toxins (60). A comprehensive review categorized substances based on overall experimental and clinical evidence, as well as the number of biological systems most frequently affected, such as inflammatory, cardiovascular, or fibrogenic systems, considered major players in the high morbidity and mortality in CKD (61). All the complement and inflammation markers listed above fall in the uremic toxins category, with IL-6, TNF-alpha and IL-1ß, IL-8 being the uremic toxins with the highest toxicity score (62).

3.1.3 Hemodialysis’ dual role: correcting and fuelling activation of complement and inflammation

Whether generated by CKD or the subsequent condition of uremia, the elevated concentrations of complement-inflammation uremic toxins described above must be effectively reduced by HD.

Unlike most small uremic toxins (< 500 Da), markers of complement and inflammation classified as uremic toxins are considerably larger, requiring the use of membranes with higher ‘flux’ for their elimination (63). The flux of a given uremic solute through a dialysis membrane reflects mean pore size, sieving capabilities for molecules of a certain size (molecular weight) and operating conditions (blood and dialysate flow, transmembrane pressure, surface area, treatment time) that drive solute flux. It is important to select a membrane that is not overly permeable to prevent the leakage of essential nutrients and compounds, including albumin (64). HD, based on size-exclusion principles, is a compromise between efficiently removing unwanted (‘toxic’) compounds and restricting essential plasma component elimination (59). The application of convective treatment modalities, such as online-hemodiafiltration (OL-HDF), enhances the efficiency of removing markers of both complement and inflammation compared to ‘standard high-flux’ HD (65, 66, 67). This property may corroborate findings from a recent independent large-scale trial showed that high-volume OL-HDF (HV-HDF) reduces patient mortality by 23% relative to standard dialysis treatment (68).

In hemodialysis (HD), restoring the proper balance between removing or preventing the generation of detrimental complement and inflammatory compounds is crucial, as their generation inevitably occurs during the procedure. Complement, predominantly generated by membrane material activation pathways, and pro-inflammatory endotoxins, potentially arising in dialysis fluids due to bacterial growth in water supply systems (69), require strategies for their reduction. These include using dialysis membranes with high biocompatibility and endotoxin-retention capabilities (e.g., the recently developed CorAL dialyzers with advanced hydrogel technology) and employing ultrapure water prepared by reverse osmosis passing through special endotoxin adsorbing filters (20, 70, 71).

3.1.4 The mode of dialysis delivery impacts inflammation and complement

Hemodialysis therapy is commonly administered thrice-weekly in 4-hour sessions, balancing clinical targets and limited financial resources for treating an increasing number of ESKD patients. Intermittent HD regimens expose patients to continuous hemodynamic stress and persistent low-grade inflammation (9, 37), causing acute stress by rapid fluid depletion during dialysis sessions, and chronic stress of extracellular fluid accumulation during interdialytic periods (9). Intensified hemodialysis, based on longer treatment times or more frequently performed home-based therapies, result in lower levels of inflammation markers, myocardial cellular damage, and congestion, improving survival of chronic HD patients compared with conventional HD (41). Cyclic hemodynamic perturbances result in perfusion-dependent, gradually increasing injury and systemic inflammation affecting various vascular beds, especially in the heart, gut, brain, and potentially the kidney (36, 72).

The choice of treatment modality also influences the activation of the complement-inflammation axis. OL-HDF is associated with reduced inflammation and improved survival (73, 74). Comparing OL-HDF to high-flux HD, Ramirez et al. showed that high convective transport (OL-HDF) decreases microinflammation by attenuating endothelial dysfunction through modulating proinflammatory cells or a complex interaction involving the removal of a wider range of uremic toxins71. Strategies limiting endothelial damage during dialytic therapies, aiming to curtail inflammation, are considered essential for improving cardiovascular outcomes (cardioprotection) in the dialysis population (38, 75).

Not all substances retained in blood in ESKD have been shown to contribute to the uremic syndrome, possibly due to insufficient scientific and clinical evidence demonstrating their toxicity (61). Complement factor D a large (24,000 Da) molecule, as well as free light chain immunoglobulin components (76) (K and L) or alpha 1 Microglobulin expressing toxicity (77), are candidates for elimination during dialysis. A prospective clinical trial comparing OL-HDF with HF-HD showed a significant decrease in pretreatment serum concentrations of complement factor D in OL-HDF-treated patients, emphasizing treatment modality-related alleviation of complement-inflammation factors (78).

3.2 Chronic consequences of complement activation: cellular senescence and inflammaging

We have discussed the mechanisms and role of HD-related complement activation, contributing to (relatively) short-term effects of inducing inflammation, promoting coagulation, and mediating various kidney diseases and cardiovascular events. Complement, as part of the innate immune system, has three overarching physiological functions: defending against pyrogenic bacterial infection, bridging adaptive immunity, and disposing of immune complexes and products of inflammatory injury (48). Persistent, low-grade “uremic inflammation,” associated with increased pro-inflammatory cytokines, resembles the process termed “inflammaging” which is observed in various chronic diseases and aging (79, 80).

The aberrant activation of the complement system in kidney diseases suggests its critical role in the long-term pathophysiology of renal damage of different etiologies (53). Evidence indicates the involvement of the complement system in aging-related diseases like Alzheimer’s, age-related macular degeneration, and osteoarthritis (81). Previously considered a protective mechanism against cancer, recent research identifies complement system and cellular senescence as main inducers of tumor growth in chronic, persistent inflammation contexts (e.g. in renal and prostate cancers) (82). Complement activation may also contribute to the pathogenesis of acute kidney injury, increasing the risk of subsequent progressive CKD, which may be mechanistically synonymous with accelerated ageing of the kidney (83).

A key mechanism in chronic inflammaging is cellular senescence, where cells become senescent through normal aging, telomere shortening, or DNA damage, hypoxia, oxidative or mitochondrial damage resulting in stress-induced premature senescence (84, 85). While in terminal growth arrest, senescent cells remain metabolically active and secrete factors contributing to chronic inflammation, renal fibrosis, and susceptibility of other cells to subsequent insults and senescence (62). ‘Immunosenescence of the adaptive immune system’ may contribute to uremic inflammation, resulting in systemic inflammation prevalent in advanced CKD (79). Disease-induced cellular senescence has been shown in kidneys and other organs and in patients with hypertension and type 2 diabetes (84).

The complement-inflammation axis causing premature inflammaging of the kidney involves several players:

Klotho expression: anti-aging gene (complement down-regulates Klotho).

Pericyte/endothelial cell axis: pericytes are a pivotal target of complement activation leading to a profibrotic maladaptive cellular response.

EndMT (endothelial-to-mesenchymal transition): Critical role of complement in induction of EndMT or prevention of EndMT by complement inhibition.

Pentraxin 3 (PTX3): main mediator of classical/lectin-mediated pathways of complement.

C1-Inhibitor: prevents activation of all 3 complement pathways.

In HD patients, the risk of inflammaging is high due to multiple sources of inflammation causing immunological dysfunction and long-term complications affecting mortality (86). Immunological dysregulation, involving both the innate and adaptive response, plays a crucial role during HD sessions and chronic maintenance treatments (87). HD-induced inflammaging involves traditional and non-traditional risk factors which contribute to a persistent, systemic, pro-inflammatory, and pro-coagulant milieu, including conditions like diabetes, uremic toxins, genetic factors, or dialyzer biocompatibility (87). HD-induced inflammaging also contributes to the development and amplification of oxidative stress, cellular senescence, and persistent immune activation (complement system) (88). Vascular access and dialysis catheter contamination, as well as filter bioincompatibility, are exogenous risk factors dependent on material type and sterilization methods. Hemodialysis, as a model of extreme physiology in a vulnerable patient population, adds to the preexisting burden of the homeostatic/inflammatory milieu through recurrent complement activation upon contact with biomaterials during each treatment session (42, 43, 89).

3.3 Netosis: another piece of the bioincompatibility puzzle in hemodialysis

Since the early observation of complement and transient leukopenia during dialysis sessions, the complement-inflammation pathways triggered by HD procedures have been characterized in considerable detail. A recently described addition to the phenomenon of bioincompatibility are neutrophil extracellular traps (NETs), known to be involved in NETosis, a major harmful process in various pathophysiological conditions (90, 91).

Neutrophils play a crucial role in the first line of innate immune defence and produce NETs (extracellular fibers composed mainly of DNA from destroyed neutrophils) primarily to capture and kill bacteria and other pathogens, preventing their spread (92). Induction of NETosis results in neutrophil degranulation induced by reactive oxygen species (ROS), mainly from NADPH oxidase. NETs are beneficial due to their antimicrobial activity, but they also play a crucial role in the pathogenesis of diseases such as diabetes, cancer, thrombosis, lung disease, cardiovascular and autoimmune diseases associated with inflammatory conditions (90, 93). Proteomic analysis indicates that NETs induced by different stimuli are heterogeneous in terms of both protein composition and post-translational modifications, suggesting diverse biological effects under different conditions (94).

Uremia and the HD procedure are additional stimuli leading to NETs formation (9597). Dysregulated neutrophil activities in the uremic milieu play a key role in vascular inflammatory responses, possibly caused by excessive NET formation which is associated with high mortality and CVD rates in ESKD (98).

The link between the dialysis procedure and membrane-induced NETosis establish another aspect of the complex bioincompatibility phenomena (97). Bieber et al. attributed neutrophil activation to extracorporeal components of the dialysis circuit and demonstrated that it occurs with each HD procedure, releasing NETs along with peroxidase activity, cfDNA, and calprotectin (99).

Considering bioincompatibility and NETs formation, it can be postulated that the uremic milieu with complement and inflammation marker uremic toxins, dialysis fluid contaminants like lipopolysaccharide (LPS), and the artificial surface of the membrane and the ECC collectively or individually provide stimuli for NETs generation in HD. These components may also be directly implicated in reactions leading to dialysis-induced systemic stress conditions with an adverse impact on multiple organs in dialysis patients. It is highly likely that NETs remain active during the interdialytic period, affecting systemic circulation and contributing to further end-organ damage, dialysis-induced systemic morbidity, and mortality. Further studies are needed to investigate NETosis kinetics during intradialytic and interdialytic periods to assess NET involvement in stress-targeted organs. NETs formation during HD and biological activity during the interdialytic period can be postulated as another integral facet of the bioincompatibility phenomenon in HD (88).

4 Mitigating risk and organ damage associated with bioincompatibility

In terms of bioincompatibility reactions in HD, the dialysis membrane stands out as the most potent stimulus for complement-inflammation responses, including cell senescence, inflammaging, and NETosis. A novel approach to improving overall biocompatibility involves surface modification of a polysulfone membrane with antioxidant Vitamin E stabilized polyvinylpyrrolidone contributing to creating a ‘pseudo-hydrolayer’ on the inner membrane surface (71, 100). This approach significantly reduces protein deposition, complement activation and platelet losses, as has been confirmed through clinical investigations that showed improved hemocompatibility profile markers of complement, cell and contact-coagulation activation (71). Together with advanced treatment modalities (e.g., high-volume OL-HDF) and a personalized HD approach (using treatment-guidance tools), such refinements in HD technology help minimize multiple pro-inflammatory insults encountered regularly by chronic HD patients (87, 101).

Recognizing the need for strategies to mitigate the detrimental consequences of bioincompatibility, progress has been made in terms of technological advancements and the mode of HD delivery (102104) including artificial intelligence and machine learning support. Technology assistance’s added value lies in its contribution to the clinical decision process, ranging from identifying patients at risk to technology-directed treatment, leading to improvements in hard outcomes (105). Automated and self-adapting systems in smart dialysis machines, governed by adaptive algorithms with feedback control loops, offer innovative solutions (37, 106). An example is a sodium control module that has recently been validated in clinical trials (107109) which contributes to cardioprotective hemodialysis through precise and personalized sodium and fluid management (4, 54). Artificial intelligence-supported systems enhance clinical assessment and management of key HD-related prescriptions with promising effects on outcomes (110113).

5 Conclusions

In this narrative essay, we have explored the systemic consequences of bioincompatibility beyond traditional emphasis on membrane-related BMI phenomena. The complement-inflammation mediated manifestations of HD therapies extend well beyond procedure-related effects, impacting patient outcomes systemically over extended periods, not only in terms of the cardiovascular system but also impairing functions of various body organs (43). Accumulating evidence now suggests that processes of cellular senescence, inflammaging, and NETosis collectively cause dysfunction and long-term complications affecting mortality, constituting an integral component of the bioincompatibility equation in HD therapies (86). We provided future options including advances in polymer science and technical developments supported by artificial intelligence, to mitigate risk associated with bioincompatibility.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Author contributions

BC: Conceptualization, Investigation, Resources, Validation, Writing – review & editing. PS: Investigation, Resources, Supervision, Validation, Writing – review & editing. RS: Project administration, Resources, Supervision, Writing – review & editing. SS: Resources, Supervision, Writing – review & editing. SB: Conceptualization, Resources, Writing – original draft. GC: Investigation, Resources, Supervision, Validation, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

Authors RS and SS were employed by company Fresenius SE & Co. KGaA.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Craddock PR, Fehr J, Brigham KL, Kronenberg RS, Jacob HS. Complement and leukocyte-mediated pulmonary dysfunction in hemodialysis. New Engl J Of Med. (1977) 296:769–74. doi: 10.1056/NEJM197704072961401

Crossref Full Text | Google Scholar

2. Craddock PR, Fehr J, Dalmasso A, Brighan K, Jacob H. Hemodialysis leukopenia. Pulmonary vascular leukostasis resulting from complement activation by dialyzer cellophane membranes. J Of Clin Invest. (1977) 59:879–88. doi: 10.1172/JCI108710

Crossref Full Text | Google Scholar

3. Chervenick PA. Dialysis, neutropenia, lung dysfunction and complement. (1977). Mass Medical Soc. N Engl J Med. (1977) 296(14):810–2. doi: 10.1056/NEJM197704072961410

PubMed Abstract | Crossref Full Text | Google Scholar

4. Descamps-Latscha B, Jungers P. New molecular aspects of chronic uraemia and dialysis-related immunocompetent cell activation. Nephrol Dialysis Transplant. (1996) 11:121–4. doi: 10.1093/ndt/11.supp2.121

Crossref Full Text | Google Scholar

5. Hakim RM, Fearon DT, Lazarus JM, Perzanowski CS. Biocompatibility of dialysis membranes: effects of chronic complement activation. Kidney Int. (1984) 26:194–200. doi: 10.1038/ki.1984.155

PubMed Abstract | Crossref Full Text | Google Scholar

6. Dumler F, Levin N. Membrane biocompatibility: clinical significance and therapeutic implications. Int J Of Artif Organs. (1985) 8:257–62.

Google Scholar

7. Vienken J, Diamantoglou M, Hahn C, Kamusewitz H, Paul D. Considerations on developmental aspects of biocompatible dialysis membranes. Artif Organs. (1995) 19:398–406. doi: 10.1111/j.1525-1594.1995.tb02349.x

PubMed Abstract | Crossref Full Text | Google Scholar

8. Bowry SK, Rintelen TH. Synthetically modified cellulose (Smc): A cellulosic hemodialysis membrane with minimized complement activation. Asaio J (American Soc For Artif Internal Organs: 1992). (1998) 44:M579–83. doi: 10.1097/00002480-199809000-00054

Crossref Full Text | Google Scholar

9. Canaud B, Chazot C, Koomans J, Collins A. Fluid and hemodynamic management in hemodialysis patients: challenges and opportunities. Braz J Of Nephrol. (2019) 41:550–9. doi: 10.1590/2175-8239-jbn-2019-0135

Crossref Full Text | Google Scholar

10. Ho WH. Hemodialysis membranes: interleukins, biocompatibility, and middle molecules. J Of Am Soc Of Nephrol. (2002) 13:S62–71.

Google Scholar

11. Vanholder R. Biocompatibility issues in hemodialysis. Clin Materials. (1992) 10:87–133. doi: 10.1016/0267-6605(92)90090-G

Crossref Full Text | Google Scholar

12. Suranyi M, Chow JS. Anticoagulation for haemodialysis. Nephrology. (2010) 15:386–92. doi: 10.1111/j.1440-1797.2010.01298.x

PubMed Abstract | Crossref Full Text | Google Scholar

13. Lane D, Bowry S. The scientific basis for selection of measures of thrombogenicity. Nephrology Dialysis Transplantation: Off Publ Of Eur Dialysis And Transplant Association-European Renal Assoc. (1994) 9:18–28.

Google Scholar

14. Lindhout T. Biocompatibility of extracorporeal blood treatment. Selection of haemostatic parameters. Nephrology Dialysis Transplantation: Off Publ Of Eur Dialysis And Transplant Association-European Renal Assoc. (1994) 9:83–9.

Google Scholar

15. Huang Z, Gao D, Letteri JJ, Clark WR. Innovation in the treatment of uremia: proceedings from the cleveland clinic workshop: blood–membrane interactions during dialysis. Semin In Dialysis. (2009) 22(6):623–8. doi: 10.1111/j.1525-139X.2009.00658.x

Crossref Full Text | Google Scholar

16. de Borst MH. The complement system in hemodialysis patients: getting to the heart of the matter. Nephron. (2016) 132:1–4. doi: 10.1159/000443340

PubMed Abstract | Crossref Full Text | Google Scholar

17. Poppelaars F, Faria B, Gaya Da Costa M, Franssen CF, Van Son WJ, Berger SP, et al. The complement system in dialysis: A forgotten story? Front In Immunol. (2018) 71. doi: 10.3389/fimmu.2018.00071

Crossref Full Text | Google Scholar

18. Poppelaars F, Gaya Da Costa M, Faria B, Berger SP, Assa S, Daha MR, et al. Intradialytic complement activation precedes the development of cardiovascular events in hemodialysis patients. Front In Immunol. (2018) 9:2070. doi: 10.3389/fimmu.2018.02070

Crossref Full Text | Google Scholar

19. Vienken J, Diamantoglou M, Henne W, Nederlof B. Artificial dialysis membranes: from concept to large scale production. Am J Of Nephrol. (1999) 19:355–62. doi: 10.1159/000013476

Crossref Full Text | Google Scholar

20. Bowry S. Dialysis membranes today. Int J Of Artif Organs. (2002) 25:447–60. doi: 10.1177/039139880202500516

Crossref Full Text | Google Scholar

21. Chenoweth DE, Cheung AK, Henderson LW. Anaphylatoxin formation during hemodialysis: effects of different dialyzer membranes. Kidney Int. (1983) 24:764–9. doi: 10.1038/ki.1983.225

PubMed Abstract | Crossref Full Text | Google Scholar

22. Cheung AK. Biocompatibility of hemodialysis membranes. J Of Am Soc Of Nephrol. (1990) 1:150–61. doi: 10.1681/ASN.V12150

Crossref Full Text | Google Scholar

23. Wang Z, Brenner JS. The nano-war against complement proteins. AAPS J. (2021) 23:105. doi: 10.1208/s12248-021-00630-9

PubMed Abstract | Crossref Full Text | Google Scholar

24. Opatrný K Jr. Clinical importance of biocompatibility and its effect on haemodialysis treatment. Nephrol Dialysis Transplant. (2003) 18:V41–4. doi: 10.1093/ndt/gfg1044

Crossref Full Text | Google Scholar

25. Lemke H-D, Heidland A, Schaefer R. Hypersensitivity reactions during haemodialysis: role of complement fragments and ethylene oxide antibodies. Nephrol Dialysis Transplant. (1990) 5:264–9. doi: 10.1093/ndt/5.4.264

Crossref Full Text | Google Scholar

26. Salem M, Ivanovich P, Daugirdas J. Adverse effects of dialyzers manifesting during the dialysis session. Nephrology Dialysis Transplantation: Off Publ Of Eur Dialysis And Transplant Association-European Renal Assoc. (1994) 9:127–37.

Google Scholar

27. Sayeed K, Murdakes C, Spec A, Gashti C. Anaphylactic shock at the beginning of hemodialysis. Semin In Dialysis. (2016) 29(1): 81–4. doi: 10.1111/sdi.2016.29.issue-1

Crossref Full Text | Google Scholar

28. Verresen L, Fink E, Lemke H-D, Vanrenterghem Y. Bradykinin is A mediator of anaphylactoid reactions during hemodialysis with an69 membranes. Kidney Int. (1994) 45:1497–503. doi: 10.1038/ki.1994.195

PubMed Abstract | Crossref Full Text | Google Scholar

29. Krieter DH, Grude M, Lemke H-D, Fink E, Bönner G, Schölkens BA, et al. Anaphylactoid reactions during hemodialysis in sheep are ace inhibitor dose-dependent and mediated by bradykinin. Kidney Int. (1998) 53:1026–35. doi: 10.1111/j.1523-1755.1998.00837.x

PubMed Abstract | Crossref Full Text | Google Scholar

30. Rodríguez-Sanz A, Sánchez-Villanueva R, Domínguez-Ortega J, Álvarez L, Fiandor A, Nozal P, et al. Characterization of hypersensitivity reactions to polysulfone hemodialysis membranes. Ann Allergy Asthma Immunol. (2022) 128:713–720.E2. doi: 10.1016/j.anai.2022.03.003

PubMed Abstract | Crossref Full Text | Google Scholar

31. Sánchez-Villanueva RJ, González E, Quirce S, Díaz R, Alvarez L, Menéndez D, et al. Hypersensitivity reactions to synthetic haemodialysis membranes. Nefrologia. (2014) 34:520–5. doi: 10.3265/Nefrologia.pre2014.May.12552

PubMed Abstract | Crossref Full Text | Google Scholar

32. Szebeni J. Complement activation-related pseudoallergy: A stress reaction in blood triggered by nanomedicines and biologicals. Mol Immunol. (2014) 61:163–73. doi: 10.1016/j.molimm.2014.06.038

PubMed Abstract | Crossref Full Text | Google Scholar

33. Pethő Á, Piecha D, Mészáros T, Urbanics R, Moore C, Canaud B, et al. A porcine model of hemodialyzer reactions: roles of complement activation and rinsing back of extracorporeal blood. Ren Fail. (2021) 43:1609–20. doi: 10.1080/0886022X.2021.2007127

PubMed Abstract | Crossref Full Text | Google Scholar

34. Nesbitt WS, Mangin P, Salem HH, Jackson SP. The impact of blood rheology on the molecular and cellular events underlying arterial thrombosis. J Of Mol Med. (2006) 84:989–95. doi: 10.1007/s00109-006-0101-1

Crossref Full Text | Google Scholar

35. Kjellstrand CM, Evans RL, Petersen RJ, Shideman JR, Hartitzsch BV, Buselmeier TJ. The “Unphysiology” Of dialysis: A major cause of dialysis side effects? Hemodialysis Int. (2004) 8:24–9.

Google Scholar

36. McIntyre CW. Haemodialysis-induced myocardial stunning in chronic kidney disease–A new aspect of cardiovascular disease. Blood Purification. (2010) 29:105–10. doi: 10.1159/000245634

PubMed Abstract | Crossref Full Text | Google Scholar

37. Canaud B, Kooman JP, Selby NM, Taal MW, Francis S, Maierhofer A, et al. Dialysis-induced cardiovascular and multiorgan morbidity. Kidney Int Rep. (2020) 5:1856–69. doi: 10.1016/j.ekir.2020.08.031

PubMed Abstract | Crossref Full Text | Google Scholar

38. Canaud B, Collins A, Maddux F. The renal replacement therapy landscape in 2030: reducing the global cardiovascular burden in dialysis patients. Nephrol Dialysis Transplant. (2020) 35:Ii51–7. doi: 10.1093/ndt/gfaa005

Crossref Full Text | Google Scholar

39. Burton JO, Jefferies HJ, Selby NM, Mcintyre CW. Hemodialysis-induced cardiac injury: determinants and associated outcomes. Clin J Of Am Soc Of Nephrology: Cjasn. (2009) 4:914. doi: 10.2215/CJN.03900808

Crossref Full Text | Google Scholar

40. McIntyre C, Crowley L. Dying to feel better: the central role of dialysis–induced tissue hypoxia. Clin J Of Am Soc Of Nephrology: Cjasn. (2016) 11:549. doi: 10.2215/CJN.01380216

Crossref Full Text | Google Scholar

41. Jefferies HJ, Virk B, Schiller B, Moran J, Mcintyre CW. Frequent hemodialysis schedules are associated with reduced levels of dialysis-induced cardiac injury (Myocardial stunning). Clin J Of Am Soc Of Nephrology: Cjasn. (2011) 6:1326. doi: 10.2215/CJN.05200610

Crossref Full Text | Google Scholar

42. Canaud B, Stephens MP, Nikam M, Etter M, Collins A. Multitargeted interventions to reduce dialysis-induced systemic stress. Clin Kidney J. (2021) 14:I72–84. doi: 10.1093/ckj/sfab192

PubMed Abstract | Crossref Full Text | Google Scholar

43. Kooman JP, Katzarski K, Van Der Sande FM, Leunissen KM, Kotanko P. Hemodialysis: A model for extreme physiology in A vulnerable patient population. Semin In Dialysis. (2018) 31(5): 500–6. doi: 10.1111/sdi.2018.31.issue-5

Crossref Full Text | Google Scholar

44. Bowry SK, Chazot C. The scientific principles and technological determinants of haemodialysis membranes. Clin Kidney J. (2021) 14:I5–I16. doi: 10.1093/ckj/sfab184

PubMed Abstract | Crossref Full Text | Google Scholar

45. Kościelska-Kasprzak K, Bartoszek D, Myszka M, Żabińska M, Klinger M. The complement cascade and renal disease. Archivum Immunologiae Et Therapiae Experimentalis. (2014) 62:47–57. doi: 10.1007/s00005-013-0254-x

PubMed Abstract | Crossref Full Text | Google Scholar

46. Poppelaars F, Thurman JM. Complement-mediated kidney diseases. Mol Immunol. (2020) 128:175–87. doi: 10.1016/j.molimm.2020.10.015

PubMed Abstract | Crossref Full Text | Google Scholar

47. Chen S-F, Chen M. Complement activation in progression of chronic kidney disease. Renal Fibrosis: Mech And Therapies. (2019) 2019:1165:423–441. doi: 10.1007/978-981-13-8871-2_20

Crossref Full Text | Google Scholar

48. Mathern DR, Heeger PS. Molecules great and small: the complement system. Clin J Of Am Soc Of Nephrology: Cjasn. (2015) 10:1636. doi: 10.2215/CJN.06230614

Crossref Full Text | Google Scholar

49. Popat RJ, Robson MG. Complement and glomerular diseases. Nephron Clin Pract. (2015) 128:238–42. doi: 10.1159/000368591

Crossref Full Text | Google Scholar

50. Jalal D, Renner B, Laskowski J, Stites E, Cooper J, Valente K, et al. Endothelial microparticles and systemic complement activation in patients with chronic kidney disease. J Of Am Heart Assoc. (2018) 7:E007818. doi: 10.1161/JAHA.117.007818

Crossref Full Text | Google Scholar

51. Akchurin OM, Kaskel F. Update on inflammation in chronic kidney disease. Blood Purification. (2015) 39:84–92. doi: 10.1159/000368940

PubMed Abstract | Crossref Full Text | Google Scholar

52. Michels MA, Van De Kar NC, Okrój M, Blom AM, Van Kraaij SA, Volokhina EB, et al. Overactivity of alternative pathway convertases in patients with complement-mediated renal diseases. Front In Immunol. (2018) 9:612. doi: 10.3389/fimmu.2018.00612

Crossref Full Text | Google Scholar

53. Fearn A, Sheerin NS. Complement activation in progressive renal disease. World J Of Nephrol. (2015) 4:31. doi: 10.5527/wjn.v4.i1.31

Crossref Full Text | Google Scholar

54. Lines SW, Richardson VR, Thomas B, Dunn EJ, Wright MJ, Carter AM. Complement and cardiovascular disease–the missing link in haemodialysis patients. Nephron. (2016) 132:5–14. doi: 10.1159/000442426

PubMed Abstract | Crossref Full Text | Google Scholar

55. Deppisch RM, Beck W, Goehl H, Ritz E. Complement components as uremic toxins and their potential role as mediators of microinflammation. Kidney Int. (2001) 59:S271–7. doi: 10.1046/j.1523-1755.2001.07810.x

Crossref Full Text | Google Scholar

56. Rosner MH, Reis T, Husain-Syed F, Vanholder R, Hutchison C, Stenvinkel P, et al. Classification of uremic toxins and their role in kidney failure. Clin J Of Am Soc Of Nephrol. (2021) 16:1918–28. doi: 10.2215/CJN.02660221

Crossref Full Text | Google Scholar

57. Duranton F, Cohen G, De Smet R, Rodriguez M, Jankowski J, Vanholder R, et al. Normal and pathologic concentrations of uremic toxins. J Of Am Soc Of Nephrol. (2012) 23:1258–70. doi: 10.1681/ASN.2011121175

Crossref Full Text | Google Scholar

58. Vanholder R, De Smet R, Glorieux G, Argilés A, Baurmeister U, Brunet P, et al. Review on uremic toxins: classification, concentration, and interindividual variability. Kidney Int. (2003) 63:1934–43. doi: 10.1046/j.1523-1755.2003.00924.x

PubMed Abstract | Crossref Full Text | Google Scholar

59. Bowry SK, Kotanko P, Himmele R, Tao X, Anger M. The membrane perspective of uraemic toxins: which ones should, or can, be removed? Clin Kidney J. (2021) 14:I17–31. doi: 10.1093/ckj/sfab202

PubMed Abstract | Crossref Full Text | Google Scholar

60. Glorieux G, Vanholder R. New uremic toxins–which solutes should be removed? Hemodiafiltration-A New Era. (2011) 168:117–28. doi: 10.1159/000321750

Crossref Full Text | Google Scholar

61. Vanholder R, Pletinck A, Schepers E, Glorieux G. Biochemical and clinical impact of organic uremic retention solutes: A comprehensive update. Toxins. (2018) 10:33. doi: 10.3390/toxins10010033

PubMed Abstract | Crossref Full Text | Google Scholar

62. Stenvinkel P, Chertow GM, Devarajan P, Levin A, Andreoli SP, Bangalore S, et al. Chronic inflammation in chronic kidney disease progression: role of nrf2. Kidney Int Rep. (2021) 6:1775–87. doi: 10.1016/j.ekir.2021.04.023

PubMed Abstract | Crossref Full Text | Google Scholar

63. Bowry SK, Kircelli F, Misra M. Flummoxed by flux: the indeterminate principles of haemodialysis. Clin Kidney J. (2021) 14:I32–44. doi: 10.1093/ckj/sfab182

PubMed Abstract | Crossref Full Text | Google Scholar

64. Kalantar-Zadeh K, Ficociello LH, Bazzanella J, Mullon C, Anger MS. Slipping through the pores: hypoalbuminemia and albumin loss during hemodialysis. Int J Of Nephrol And Renovascular Dis. (2021) 14:11–21. doi: 10.2147/IJNRD.S291348

Crossref Full Text | Google Scholar

65. Pedrini LA, De Cristofaro V. On-line mixed hemodiafiltration with A feedback for ultrafiltration control: effect on middle-molecule removal. Kidney Int. (2003) 64:1505–13. doi: 10.1046/j.1523-1755.2003.00240.x

PubMed Abstract | Crossref Full Text | Google Scholar

66. Molina P, Vizcaíno B, Molina MD, Beltrán S, González-Moya M, Mora A, et al. The effect of high-volume online haemodiafiltration on nutritional status and body composition: the protein stores preservation (Peset) study. Nephrol Dialysis Transplant. (2018) 33:1223–35. doi: 10.1093/ndt/gfx342

Crossref Full Text | Google Scholar

67. Susantitaphong P, Tiranathanagul K, Katavetin P, Townamchai N, Praditpornsilpa K, Tungsanga K, et al. Efficacy of convective-controlled double high-flux hemodiafiltration versus on-line hemodiafiltration: 1-year prospective study. Blood Purification. (2010) 29:35–43. doi: 10.1159/000255955

PubMed Abstract | Crossref Full Text | Google Scholar

68. Blankestijn PJ, Vernooij RW, Hockham C, Strippoli GF, Canaud B, Hegbrant J, et al. Effect of hemodiafiltration or hemodialysis on mortality in kidney failure. New Engl J Of Med. (2023) 389(8):700–709. doi: 10.1056/NEJMoa2304820

Crossref Full Text | Google Scholar

69. Penne EL, Visser L, Van Den Dorpel MA, Van Der Weerd NC, Mazairac AH, Van Jaarsveld BC, et al. Microbiological quality and quality control of purified water and ultrapure dialysis fluids for online hemodiafiltration in routine clinical practice. Kidney Int. (2009) 76:665–72. doi: 10.1038/ki.2009.245

PubMed Abstract | Crossref Full Text | Google Scholar

70. Handelman GJ, Megdal PA, Handelman SK. Bacterial dna in water and dialysate: detection and significance for patient outcomes. Blood Purification. (2009) 27:81–5. doi: 10.1159/000167014

PubMed Abstract | Crossref Full Text | Google Scholar

71. Melchior P, Erlenkötter A, Zawada AM, Delinski D, Schall C, Stauss-Grabo M, et al. Complement activation by dialysis membranes and its association with secondary membrane formation and surface charge. Artif Organs. (2021) 45:770–8. doi: 10.1111/aor.13887

PubMed Abstract | Crossref Full Text | Google Scholar

72. McIntyre CW. Recurrent circulatory stress: the dark side of dialysis. Semin In Dialysis. (2010) 23(5):449–51. doi: 10.1111/j.1525-139X.2010.00782.x

Crossref Full Text | Google Scholar

73. Canaud B, Bragg-Gresham J, Marshall M, Desmeules S, Gillespie B, Depner T, et al. Mortality risk for patients receiving hemodiafiltration versus hemodialysis: european results from the dopps. Kidney Int. (2006) 69:2087–93. doi: 10.1038/sj.ki.5000447

PubMed Abstract | Crossref Full Text | Google Scholar

74. Carracedo J, Merino A, Nogueras S, Carretero D, Berdud I, Rami R, et al. On-line hemodiafiltration reduces the proinflammatory cd14+ Cd16+ Monocyte-derived dendritic cells: A prospective, crossover study. J Of Am Soc Of Nephrol. (2006) 17:2315–21. doi: 10.1681/ASN.2006020105

Crossref Full Text | Google Scholar

75. Ohtake T, Oka M, Ishioka K, Honda K, Mochida Y, Maesato K, et al. Cardiovascular protective effects of on-line hemodiafiltration: comparison with conventional hemodialysis. Ther Apheresis And Dialysis. (2012) 16:181–8. doi: 10.1111/j.1744-9987.2011.01042.x

Crossref Full Text | Google Scholar

76. Ritchie J, Assi LK, Burmeister A, Hoefield R, Cockwell P, Kalra PA. Association of serum ig free light chains with mortality and esrd among patients with nondialysis-dependent ckd. Clin J Am Soc Nephrol. (2015) 10:740–9. doi: 10.2215/CJN.09660914

PubMed Abstract | Crossref Full Text | Google Scholar

77. Yoshida S, Yamamoto S, Miyauchi D, Terashima R, Hashimoto A, Miyazawa H, et al. Removal of A1-microglobulin using post-dilution online hemodiafiltration with polymethylmethacrylate membrane: an open-label, single-arm study. Blood Purif. (2024) 53:123–9. doi: 10.1159/000534459

PubMed Abstract | Crossref Full Text | Google Scholar

78. Ward RA, Hullin J, Samtleben W. A comparison of on-line hemodiafiltration and high-flux hemodialysis: A prospective clinical study. J Of Am Soc Of Nephrol. (2000) 11:2344–50. doi: 10.1681/ASN.V11122344

Crossref Full Text | Google Scholar

79. Kooman JP, Dekker MJ, Usvyat LA, Kotanko P, Van Der Sande FM, Schalkwijk CG, et al. Inflammation and premature aging in advanced chronic kidney disease. Am J Of Physiology-Renal Physiol. (2017) 313:F938–50. doi: 10.1152/ajprenal.00256.2017

Crossref Full Text | Google Scholar

80. Kooman JP, Kotanko P, Schols AM, Shiels PG, Stenvinkel P. Chronic kidney disease and premature ageing. Nat Rev Nephrol. (2014) 10:732–42. doi: 10.1038/nrneph.2014.185

PubMed Abstract | Crossref Full Text | Google Scholar

81. Zheng R, Zhang Y, Zhang K, Yuan Y, Jia S, Liu J. The complement system, aging, and aging-related diseases. Int J Of Mol Sci. (2022) 23:8689. doi: 10.3390/ijms23158689

Crossref Full Text | Google Scholar

82. Netti GS, Franzin R, Stasi A, Spadaccino F, Dello Strologo A, Infante B, et al. Role of complement in regulating inflammation processes in renal and prostate cancers. Cells. (2021) 10, 2426. doi: 10.3390/cells10092426

PubMed Abstract | Crossref Full Text | Google Scholar

83. Franzin R, Stasi A, Fiorentino M, Stallone G, Cantaluppi V, Gesualdo L, et al. Inflammaging and complement system: A link between acute kidney injury and chronic graft damage. Front In Immunol. (2020) 11:734. doi: 10.3389/fimmu.2020.00734

Crossref Full Text | Google Scholar

84. Ferenbach DA, Bonventre JV. Mechanisms of maladaptive repair after aki leading to accelerated kidney ageing and ckd. Nat Rev Nephrol. (2015) 11:264–76. doi: 10.1038/nrneph.2015.3

PubMed Abstract | Crossref Full Text | Google Scholar

85. Hobson S, Arefin S, Witasp A, Hernandez L, Kublickiene K, Shiels PG, et al. Accelerated vascular aging in chronic kidney disease: the potential for novel therapies. Circ Res. (2023) 132:950–69. doi: 10.1161/CIRCRESAHA.122.321751

PubMed Abstract | Crossref Full Text | Google Scholar

86. Cobo G, Lindholm B, Stenvinkel P. Chronic inflammation in end-stage renal disease and dialysis. Nephrol Dialysis Transplant. (2018) 33:Iii35–40. doi: 10.1093/ndt/gfy175

Crossref Full Text | Google Scholar

87. Losappio V, Franzin R, Infante B, Godeas G, Gesualdo L, Fersini A, et al. Molecular mechanisms of premature aging in hemodialysis: the complex interplay between innate and adaptive immune dysfunction. Int J Of Mol Sci. (2020) 21:3422. doi: 10.3390/ijms21103422

Crossref Full Text | Google Scholar

88. Campo S, Lacquaniti A, Trombetta D, Smeriglio A, Monardo P. Immune system dysfunction and inflammation in hemodialysis patients: two sides of the same coin. J Of Clin Med. (2022) 11:3759. doi: 10.3390/jcm11133759

Crossref Full Text | Google Scholar

89. Kjellstrand C, Rosa A, Shideman J, Rodrigo F, Davin T, Lynch R. Optimal dialysis frequency and duration: the” Unphysiology hypothesis. Kidney Int Supplement. (1978) (8):S120–4.

Google Scholar

90. Brinkmann V. Neutrophil extracellular traps in the second decade. J Of Innate Immun. (2018) 10:414–21. doi: 10.1159/000489829

Crossref Full Text | Google Scholar

91. Cristol JP, Thierry AR, Bargnoux AS, Morena-Carrere M, Canaud B. What is the role of the neutrophil extracellular traps in the cardiovascular disease burden associated with hemodialysis bioincompatibility? Front Med (Lausanne). (2023) 10:1268748. doi: 10.3389/fmed.2023.1268748

PubMed Abstract | Crossref Full Text | Google Scholar

92. de Bont CM, Boelens WC, Pruijn GJ. Netosis, complement, and coagulation: A triangular relationship. Cell Mol Immunol. (2019) 16:19–27. doi: 10.1038/s41423-018-0024-0

PubMed Abstract | Crossref Full Text | Google Scholar

93. Tan C, Aziz M, Wang P. The vitals of nets. J Of Leukocyte Biol. (2021) 110:797–808. doi: 10.1002/JLB.3RU0620-375R

Crossref Full Text | Google Scholar

94. Petretto A, Bruschi M, Pratesi F, Croia C, Candiano G, Ghiggeri G, et al. Neutrophil extracellular traps (Net) induced by different stimuli: A comparative proteomic analysis. PloS One. (2019) 14:e0218946. doi: 10.1371/journal.pone.0218946

PubMed Abstract | Crossref Full Text | Google Scholar

95. Jeong JC, Kim J-E, Gu J-Y, Yoo HJ, Ryu JW, Kim DK, et al. Significance of the dna-histone complex level as A predictor of major adverse cardiovascular events in hemodialysis patients: the effect of uremic toxin on dna-histone complex formation. Blood Purification. (2016) 41:64–71. doi: 10.1159/000440974

PubMed Abstract | Crossref Full Text | Google Scholar

96. Moon J-Y, Choi Y-W, Moon H, Kim K, Lee Y-H, Kim S-Y, et al. Effect of blood pressure and glycemic control on the plasma cell-free dna in hemodialysis patients. Kidney Res And Clin Pract. (2015) 34:201–6. doi: 10.1016/j.krcp.2015.09.002

Crossref Full Text | Google Scholar

97. Korabecna M, Tesar V. Netosis provides the link between activation of neutrophils on hemodialysis membrane and comorbidities in dialyzed patients. Inflammation Res. (2017) 66:369–78. doi: 10.1007/s00011-016-1010-6

Crossref Full Text | Google Scholar

98. Lee HW, Nizet V, An JN, Lee HS, Song YR, Kim SG, et al. Uremic serum damages endothelium by provoking excessive neutrophil extracellular trap formation. Sci Rep. (2021) 11:21439. doi: 10.1038/s41598-021-00863-w

PubMed Abstract | Crossref Full Text | Google Scholar

99. Bieber S, Muczynski KA, Lood C. Neutrophil activation and neutrophil extracellular trap formation in dialysis patients. Kidney Med. (2020) 2:692–8. doi: 10.1016/j.xkme.2020.06.014

PubMed Abstract | Crossref Full Text | Google Scholar

100. Zawada AM, Melchior P, Erlenkoetter A, Delinski D, Stauss-Grabo M, Kennedy JP. Polyvinylpyrrolidone in hemodialysis membranes: impact on platelet loss during hemodialysis. Hemodialysis Int. (2021) 25:498–506. doi: 10.1111/hdi.12939

Crossref Full Text | Google Scholar

101. Ebert T, Pawelzik S-C, Witasp A, Arefin S, Hobson S, Kublickiene K, et al. Inflammation and premature ageing in chronic kidney disease. Toxins. (2020) 12:227. doi: 10.3390/toxins12040227

PubMed Abstract | Crossref Full Text | Google Scholar

102. Lameire N, Biesen V, Vanholder R. Did 20 years of technological innovations in hemodialysis contribute to better patient outcomes? Clin J Of Am Soc Of Nephrol. (2009) 4:S30–40. doi: 10.2215/CJN.04000609

Crossref Full Text | Google Scholar

103. Locatelli F, Mastrangelo F, Redaelli B, Ronco C, Marcelli D, La Greca G, et al. Effects of different membranes and dialysis technologies on patient treatment tolerance and nutritional parameters. Kidney Int. (1996) 50:1293–302. doi: 10.1038/ki.1996.441

PubMed Abstract | Crossref Full Text | Google Scholar

104. Locatelli F, Buoncristiani U, Canaud B, Köhler H, Petitclerc T, Zucchelli P. Dialysis dose and frequency. Nephrol Dialysis Transplant. (2005) 20:285–96. doi: 10.1093/ndt/gfh550

Crossref Full Text | Google Scholar

105. Kooman JP, van der Sande FM. Body fluids in end-stage renal disease: statics and dynamics. Blood Purification. (2019) 47:223–9. doi: 10.1159/000494583

PubMed Abstract | Crossref Full Text | Google Scholar

106. Hornig C, Canaud BJ, Bowry SK. Personalized management of sodium and volume imbalance in hemodialysis to mitigate high costs of hospitalization. Blood Purifi. (2023) 52(6):564–77. doi: 10.1159/000530816

Crossref Full Text | Google Scholar

107. Kuhlmann U, Maierhofer A, Canaud B, Hoyer J, Gross M. Zero diffusive sodium balance in hemodialysis provided by an algorithm-based electrolyte balancing controller: A proof of principle clinical study. Artif Organs. (2019) 43:150–8. doi: 10.1111/aor.2019.43.issue-2

PubMed Abstract | Crossref Full Text | Google Scholar

108. Ságová M, Wojke R, Maierhofer A, Gross M, Canaud B, Gauly A. Automated individualization of dialysate sodium concentration reduces intradialytic plasma sodium changes in hemodialysis. Artif Organs. (2019) 43:1002–13. doi: 10.1111/aor.v43.10

PubMed Abstract | Crossref Full Text | Google Scholar

109. Ponce P, Pinto B, Wojke R, Maierhofer AP, Gauly A. Evaluation of intradialytic sodium shifts during sodium controlled hemodialysis. Int J Of Artif Organs. (2020) 43:620–4. doi: 10.1177/0391398820903055

Crossref Full Text | Google Scholar

110. Barbieri C, Cattinelli I, Neri L, Mari F, Ramos R, Brancaccio D, et al. Development of an artificial intelligence model to guide the management of blood pressure, fluid volume, and dialysis dose in end-stage kidney disease patients: proof of concept and first clinical assessment. Kidney Dis. (2019) 5:28–33. doi: 10.1159/000493479

Crossref Full Text | Google Scholar

111. Canaud B, Stuard S, Laukhuf F, Yan G, Canabal MIG, Lim PS, et al. Choices in hemodialysis therapies: variants, personalized therapy and application of evidence-based medicine. Clin Kidney J. (2021) 14:I45–58. doi: 10.1093/ckj/sfab198

PubMed Abstract | Crossref Full Text | Google Scholar

112. Chaudhuri S, Han H, Usvyat L, Jiao Y, Sweet D, Vinson A, et al. Machine learning directed interventions associate with decreased hospitalization rates in hemodialysis patients. Int J Of Med Inf. (2021) 153:104541. doi: 10.1016/j.ijmedinf.2021.104541

Crossref Full Text | Google Scholar

113. Ohara T, Ikeda H, Sugitani Y, Suito H, Huynh VQH, Kinomura M, et al. Artificial intelligence supported anemia control system (Aisacs) to prevent anemia in maintenance hemodialysis patients. Int J Of Med Sci. (2021) 18:1831. doi: 10.7150/ijms.53298

Crossref Full Text | Google Scholar

Keywords: inflammation, complement, biocompatibility, dialysis, technology, clinical impact, chronic kidney disease

Citation: Canaud B, Stenvinkel P, Scheiwe R, Steppan S, Bowry S and Castellano G (2024) The Janus-faced nature of complement in hemodialysis: interplay between complement, inflammation, and bioincompatibility unveiling a self-amplifying loop contributing to organ damage. Front. Nephrol. 4:1455321. doi: 10.3389/fneph.2024.1455321

Received: 26 June 2024; Accepted: 31 October 2024;
Published: 03 December 2024.

Edited by:

Sandip Mitra, The University of Manchester, United Kingdom

Reviewed by:

Cees Van Kooten, Leiden University, Netherlands
Duha Ilyas, Manchester University NHS Foundation Trust (MFT), United Kingdom

Copyright © 2024 Canaud, Stenvinkel, Scheiwe, Steppan, Bowry and Castellano. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Rebecca Scheiwe, cmViZWNjYS5zY2hlaXdlQGZyZXNlbml1cy5jb20=

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