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Clinical improvement of Long-COVID is associated with reduction in autoantibodies, lipids, and inflammation following therapeutic apheresis

January 25, 2024

Molecular Psychiatry volume 28, pages2872–2877 (2023)Cite this article

Abstract

In the aftermath of the COVID-19 pandemic, we are witnessing an unprecedented wave of post-infectious complications. Most prominently, millions of patients with Long-Covid complain about chronic fatigue and severe post-exertional malaise. Therapeutic apheresis has been suggested as an efficient treatment option for alleviating and mitigating symptoms in this desperate group of patients. However, little is known about the mechanisms and biomarkers correlating with treatment outcomes. Here, we have analyzed in different cohorts of Long-Covid patients specific biomarkers before and after therapeutic apheresis. In patients that reported a significant improvement following two cycles of therapeutic apheresis, there was a significant reduction in neurotransmitter autoantibodies, lipids, and inflammatory markers. Furthermore, we observed a 70% reduction in fibrinogen, and following apheresis, erythrocyte rouleaux formation and fibrin fibers largely disappeared as demonstrated by dark field microscopy. This is the first study demonstrating a pattern of specific biomarkers with clinical symptoms in this patient group. It may therefore form the basis for a more objective monitoring and a clinical score for the treatment of Long-Covid and other postinfectious syndromes.

Introduction

Following viral infections, post-infectious complications may occur and trigger debilitating disease [1, 2]. This has occurred with the COVID-19 pandemic in an unprecedented and unparalleled way leaving millions of people in despair. Patient self-help organizations have mushroomed around the globe demanding from political stakeholders and health authorities immediate action. Post-Covid clinics have been established in some centers trying to provide some comfort but currently have not been able to offer much for an increasingly frustrated group of patients and their family members left alone with their misery.

Therapeutic apheresis has been reported to be effective in many patients affected [3,4,5,6] but due to the lack of validated controlled trials and high treatment costs, health insurance companies have rarely provided reimbursement. Because of the lack of controls and single reports in the media of patients showing no improvement after therapeutic apheresis, critical papers questioning any benefit of such an invasive procedure have been published [7, 8]. Randomized controlled trials using an invasive procedure requiring sham treatments are ethically challenging and time-consuming due to regulatory issues. This underlines the need for approving practice-oriented medical approaches instead of insisting on evidence-based medicine in such times of immediate need.

Current mechanisms suggested to explain the sequelae of chronic fatigue and post-exertional malaise in patients with Long-Covid include reduced tissue perfusion [9], viral infiltration of tissues, inflammation in the brain and peripheral organs [10], the persistence of SARS-CoV-2 spike proteins [11], and reactivation of other infectious agents including Epstein-Barr Virus, CMV and other infectious components [12,13,14,15,16]. Furthermore, recent data have demonstrated that there is a major rise in autoimmune diseases following COVID-19 [17,18,19] due to the generation of known and hitherto unknown autoantibodies [20]. For example, neurotransmitter autoantibodies and other autoantibodies have been suggested to play a role in COVID-19 severity [21] and Long-Covid [20, 22]. Finally, alteration of blood cellular components [23, 24] and rarefication of vessels [25] have been suggested to play a role in the development of Long-Covid following infection with SARS-CoV-2. Recent evidence has clearly shown that elevated lipids constitute a major risk factor [26,27,28]. Similarly, Long-Covid triggers a significant increase in lipids causing long-term risk for cardiovascular disease [29].

Based on these findings, there is a clear rationale for extracorporeal apheresis in patients with Long-Covid. Extracorporeal apheresis and immune adsorption are well-established methods for reducing all major lipids including ceramides, LP(a), and inflammatory lipids that cannot be lowered by statins or other medications [30,31,32,33].

Secondly, apheresis improves blood flow and has been used for autoimmune and inflammatory diseases of the nervous system and brain [34]. Therefore, this study aimed to elucidate the role of potential biomarkers in relation to treatment outcomes in Long-Covid patients undergoing therapeutic apheresis. This should form the basis for allowing a risk-benefit strategy of who should receive treatment and a set of profiles of markers monitoring treatment success.

Material and methods

Patients and assessment of Long-Covid symptoms

From the Long-Covid outpatient department at the University Clinic in Dresden in Germany 123 patients, which reported having fatigue symptoms for at least twelve weeks, were included. A standardized questionnaire FACIT-F (https://www.facit.org/measures/FACIT-F) approved for the assessment of fatigue in autoimmune diseases [35] was used to measure the degree of fatigue in these patients. Moreover, a visual analog scale was used to determine tiredness.

In Cham and Baden-Baden in Germany and at the Alpstein Clinic in Gais in Switzerland, a cohort of 27 patients with Long-Covid was treated with therapeutic apheresis and chronic fatigue syndrome and post-exertional malaise were evaluated by standard questionnaires for Long-Covid before and after apheresis. Informed consent was obtained from all study subjects.

Therapeutic apheresis (INUSpheresis)

A cohort of 27 patients with Long-Covid was treated with a filtration-based (TKM58) therapeutic apheresis approach, specifically INUSpheresis, which is known to remove autoantibodies, inflammatory cytokines, oxidated LDLs, environmental toxins, and large molecules, contributing to plasma viscosity [5]. The patients were treated twice at an interval of 3 weeks. Each treatment lasted an average of 114 min and the patients received 8000E Heparin per treatment.

Biomarker measurements

Blood was collected from the Long-Covid patients pre- and post-apheresis. Inflammatory factors (sCRP, IL-1beta, and IL-6), autoantibodies (against ß-adrenergic receptors and acetylcholine receptors), lipids (chol, TG, LDL, HDL, and Lp(a)), thrombotic factors (fibrinogen and homocysteine), and H2O2 were measured. Antibodies against α1- and β1-adrenergic receptors and the muscarinic acetylcholine receptors 3 and 4 were measured with commercially available immunoassays (CellTrend GmbH, Luckenwalde, Germany) according to the instructions of the manufacturer. The remaining factors were measured with standardized commercial kits.

Microscopy

Erythrocytes were evaluated microscopically pre- and post-apheresis using a NIKON ECLIPSE E 200 microscope.

Results

Neurotransmitter autoantibodies in Long-Covid patients with fatigue

One aim of the study was to investigate whether increased fatigue symptomatic after SARS-CoV-2 infection is associated with elevated antibody titers against certain neurotransmitter receptors. Therefore, we measured the levels of 4 different auto-antibodies (β1 and β2 adrenergic receptors (AdR), M3 and M4 acetylcholine receptors (AChR)) in 123 patients that reported fatigue symptoms for at least 12 weeks after COVID-19. It turned out that there was a very high antibody titer variation between patients and no direct correlation between symptom severity and the levels of antibodies. The mean level of autoantibodies against the ß1-AdR was not increased in comparison to the reference level, whereas the other 3 autoantibodies (ß2-Adr, M3 AChR, and M4 AChR) were increased compared to reference levels (Table 1). These data suggest that an increase in autoantibodies against one neurotransmitter does not lead to Long-Covid fatigue symptoms, but that an increase in at least 2-3 different autoantibodies may be required for symptom development.

Table 1 Neurotransmitter autoantibody titers.

Full size table

Characteristics of apheresis patients

Previously, we have described that after 3 treatments with INUSpheresis, 74% of 1111 patients with ME/CFS, including a subgroup (13%) of Long-Covid patients, reported having no symptoms or feeling significantly better, 11% reported moderate improvement, and 15% didn’t feel better 6 months after therapeutic apheresis based on currently used assessment parameters for Long-Covid [5]. To investigate whether this improvement is caused by a reduction of biomarkers associated with Long-Covid, we performed INUSpheresis on 27 severely affected Long-Covid patients (14 men, 13 women) and measured several biomarkers in the blood before and after 2 therapeutic apheresis treatments. The mean age of the men was 49.7 years and of the women, it was 44.9 years. The men had a mean BMI of 26.02 kg/m2 and the women of 21.72 kg/m2. The main symptoms of Long-Covid in this patient group were immunopathies (65%), ME/CFS (52%), intestinal dysbiosis (28%), and polyneuropathies (21%).

Biomarker screening in Long-Covid patients

To test whether therapeutic apheresis may lead to a reduction of biomarkers associated with Long-Covid, we tested the concentrations of these markers in the blood of Long-Covid patients pre- and post-extracorporeal therapeutic apheresis.

First, we measured the autoantibodies against β1- and β2-AdR and against M3- and M4-AChR. In contrast to the data in Table 1, also the antibodies against ß1-AdR were increased in these patients before apheresis. Also, the autoantibodies against ß2-AdR, and M3- and M4-AChR were increased compared to reference levels. Autoantibodies against ß1- and ß2-AdR were decreased by 33% and 28%, respectively, whereas autoantibodies against M3- and M4-AChR were reduced by 48% and 39%, respectively, after apheresis (Fig. 1).

Fig. 1: Neurotransmitter autoantibodies are reduced after apheresis.

figure 1

Antibodies against the β1 and β2 adrenergic receptors (AdR) and the M3 and M4 acetylcholine receptors (AChR) were measured in the blood of Long-Covid patients (n = 27) pre- and post-apheresis. Reference values are marked with a dotted line. RAA: receptor autoantibodies. ***P< 0.001 (paired two-sided t-test).

Furthermore, sCRP and the pro-inflammatory cytokines IL-1 beta and IL-6 were all significantly reduced after apheresis (33%, 48%, and 64%) (Fig. 2A). As oxidative stress has been shown to be associated with Long-Covid, we measured the concentration of H2O2 in the blood and observed a more than 90% decrease after 2 rounds of therapeutic apheresis (Fig. 2B).

Fig. 2: Inflammatory and oxidative factors are reduced after apheresis.

figure 2

IL-1beta, IL-6, sCRP (A), and H2O2 (B) were measured in the blood of Long-Covid patients (n = 27) pre- and post-apheresis. Reference values are marked with a dotted line. ***P< 0.001 (paired two-sided t-test).

Factors related to rheology, such as fibrinogen and homocysteine, were significantly reduced by 70% and 64%, respectively (Fig. 3A). Both factors reached levels below the reference value. This was confirmed microscopically, as it could be observed that in some patients, the erythrocytes in Long-Covid aggregated in closely packed stacks of cells, forming three-dimensional structures, so-called rouleaux (Fig. 3B). Furthermore, the blood was characterized by fibrin fibers and sediments (Fig. 3B). After apheresis, the rouleaux formation had vanished and fibrin fibers were gone (Fig. 3B).

Fig. 3: Apheresis reduces factors related to rheology.

figure 3

A Fibrinogen and homocysteine were measured in the blood of Long-Covid patients (n = 27) pre- and post-apheresis. Reference values are marked with a dotted line. ***P< 0.001 (paired two-sided t-test). B Erythrocytes were imaged before and after apheresis. Representative pictures are shown.

When we measured lipids in the blood, we observed that cholesterol, triglycerides (TG), LDL, and HDL, were all significantly reduced in an expected manner (Fig. 4). All lipids reached values below the reference value.

Fig. 4: Apheresis reduces lipids levels.


figure 4

Lipids were measured in the blood of Long-Covid patients (n = 27) pre- and post-apheresis. Reference values are marked with a dotted line. ns P> 0.05; *P< 0.05; ***P< 0.001 (paired two-sided t-test).

Discussion

Extracorporeal apheresis has the potential to improve symptoms of Long-Covid. Consistent with the clinical experience of several centers that have administered this treatment in a cohort of more than 1000 patients, 70% of patients with ME/CFS, including Long-Covid patients, reported a significant improvement in their symptoms [5]. In the current study, we analyzed those biomarkers that play a role in the pathogenesis of postinfectious syndromes, such as Long-Covid, in 27 patients who showed clinical improvement after extracorporeal therapeutic apheresis and found that the biomarkers were significantly reduced after the treatment.

A limitation of our study is that it was not conducted as a randomized controlled trial that included sham experiments of the invasive procedure without therapeutic filters. Optimally, such sham experiments should be included to exclude that the benefit of apheresis is mediated by biological factors, e.g. heparin, which promotes tissue perfusion. Undoubtedly, there is a need to perform larger randomized controlled trials. However, there are several problems with performing large-scale randomized controlled trials. First, patients with Long- or Post-Covid are a heterogeneous group of patients, and inclusion criteria for a controlled trial will be difficult. This becomes evident in our study of different cohorts diagnosed in Post-Covid clinics at our centers that used stringent currently used qualitative assessment criteria for Long-Covid symptoms. Thus, patients with classical symptoms of chronic fatigue including severe exhaustion, tiredness, post-exertional malaise, depression, headache, tinnitus, muscle pain, abdominal pain, and brain fog with typically reduced strengths in handgrips, still demonstrated a variety in the pattern of altered biomarkers. Some patients with substantially elevated neurotransmitter antibodies and only mild inflammation were showing severe symptoms. Similarly, patients with normal autoantibodies but significantly elevated lipids, inflammatory markers, and signs of oxidative stress also suffered from severe forms of chronic fatigue. Therefore, given the fact that chronic fatigue following COVID-19 seems to be a multi-faceted disease with diverse potential disease mechanisms, it will be unlikely that we will find one single biomarker correlating with the clinical symptoms of these patients. Most likely, we will have to develop biomarker scores as it is routinely done in other forms of autoimmune diseases, e.g. rheumatoid arthritis. This will provide useful monitoring of treatment success or failure. It will however be difficult to establish a clear-cut correlation and causality.

Finally, current clinical protocols in different centers, including the one presented here, have been using a great variety of procedures not only including therapeutic apheresis but also antioxidative substances, and anti-inflammatory treatment, which may or may not include glucocorticoids. These components all may have an impact on treatment success [3,4,5,6]. Therefore, a controlled trial generating clear evidence would be enormously complex to perform.

Before apheresis treatment, it became apparent that some Long-Covid patients had high levels of erythrocyte aggregation, which is common in diseases associated with hyperthermia and hypoxemia, such as stroke or COVID-19 [36]. Elevated blood lipids, as observed in Long-Covid [27, 29], may also increase the risk of cardiovascular diseases highlighting the necessity of lowering both lipids and thrombotic factors [37]. Extracorporeal therapeutic apheresis was initially established for the reduction of lipids in severe dyslipidemias. Later studies showed that this treatment has several additional beneficial effects as high molecular weight proteins are reduced, blood viscosity is improved, oxidative stress is reduced, and cytokines and autoantibodies are removed [30,31,32,33]. These results we confirmed in the current study, where all these biomarkers were significantly reduced in the blood of Long-Covid patients. The advantage of therapeutic extracorporeal apheresis in comparison to specific medication is its ability to remove a broad range of toxins, inflammatory proteins, lipids, and autoantibodies from human blood [32, 38, 39].

Increased inflammation and oxidative stress have been suggested as the main factors leading to fibrosis, thrombosis, autonomic nervous system dysfunction, and autoimmunity resulting in tissue damage and consequently Long-Covid [40, 41]. Therefore, the fact that we see both a decrease in the inflammatory factors CRP, IL-1beta, and IL-6 and in reactive oxygen species after apheresis might at least partly explain the reduction in symptoms reported by the patients.

As for ME/CFS, antibodies against G-protein coupled receptors (GPCRs), such as adrenergic and muscarinic receptors, were also detected in Long-Covid patients [22, 42]. In the current study, we observed a reduction in four such GPCR-autoantibodies post apheresis. The antibodies were not completely removed but this reduction might be enough to reduce symptoms as previous studies showed that in a subgroup of ME/CFS patients, B-cell depletion with rituximab was associated with symptom improvement [43, 44]. Furthermore, it is important not to remove all antibodies from the blood as an adequate immune response against SARS-CoV-2 and other pathogens should be maintained. Apheresis likely reduces further autoantibodies that have not yet been defined but are involved in the pathology of Long-Covid symptoms.

In conclusion, this study clearly shows that extracorporeal apheresis is a powerful technology to reduce biomarkers that have been implicated in the pathogenesis of post-infectious syndromes such as Long-Covid. This, however, describes only an association and not causality and a clear correlation with symptoms and improvement of patients. Therefore, an additional limitation of our and similar studies is the current lack of hard endpoints for clearly defining and measuring improvements in Long-Covid symptoms objectively. Nevertheless, the study provides some guidance for monitoring treatment success and for establishing a larger patient cohort with a score of several of these parameters that will correlate with the immediate and long-term outcomes of the procedure. We believe that in the acute situation of such a mass number of desperate individuals suffering from a multifaceted disorder such as Long-Covid entirely relying on the most stringent criteria of evidence-based medicine did not and will not fully meet the needs of these patients.

This therapeutic option has to be presented honestly and transparently to patients seeking help and improvement of their current situation. It needs to be acknowledged that this treatment will not be successful in every patient and that we do not fully understand the exact mechanisms of treatment success or failure at this point. There has to be room for practice-oriented medicine that allows providing this treatment to those patients in need while the performance of controlled randomized evidence-based trials is needed. Private centers engaged in this type of treatment have to be involved in the monitoring of their patients. In such a complex disorder with a combination of diverse pathological mechanisms, individualized trials with different treatment protocols will be necessary. Extracorporeal therapeutic apheresis has been used for many decades and is an extremely safe method but nevertheless an invasive procedure and patients have to be informed about rare complications. Modern artificial intelligence-based technologies involving machine learning will be ideally suited to design and define individual treatment protocols with specific markers for the different patient groups of post-infectious syndromes in the future.

To develop a future clinical score, multicenter studies with a larger number of patients, including those that have shown no improvement with therapeutic apheresis, will have to be performed to correlate individual biomarkers with the outcome of treatment success. Specifically, multivariate analysis will be necessary to establish a useful clinical score for monitoring initial and long-term treatment success. Certainly, a better exploration of disease mechanisms for Long-Covid and other postinfectious syndromes may improve or add to such a panel of clinical biomarkers.

References

  1. Bornstein SR, Cozma D, Kamel M, Hamad M, Mohammad MG, Khan NA, et al. Long-COVID, metabolic and endocrine disease. Horm Metab Res. 2022;54:562–6.
  2. Article CAS PubMed PubMed Central Google Scholar
  3. Huang L, Li X, Gu X, Zhang H, Ren L, Guo L, et al. Health outcomes in people 2 years after surviving hospitalisation with COVID-19: a longitudinal cohort study. Lancet Respir Med. 2022;10:863–76.
  4. Article CAS PubMed PubMed Central Google Scholar
  5. Jaeger BR, Arron HE, Kalka-Moll WM, Seidel D. The potential of heparin-induced extracorporeal LDL/fibrinogen precipitation (H.E.L.P.)-apheresis for patients with severe acute or chronic COVID-19. Front Cardiovasc Med. 2022;9:1007636.
  6. Article CAS PubMed PubMed Central Google Scholar
  7. Ringel J, Ramlow A, Bock C, Sheriff A. Case report: C-reactive protein apheresis in a patient with COVID-19 and fulminant CRP increase. Front Immunol. 2021;12:708101.
  8. Article CAS PubMed PubMed Central Google Scholar
  9. Steenblock C, Walther R, Tselmin S, Jarzebska N, Voit-Bak K, Toepfner N, et al. Post COVID and apheresis - where are we standing? Horm Metab Res. 2022;54:715–20.
  10. Article CAS PubMed Google Scholar
  11. Truong AD, Auld SC, Barker NA, Friend S, Wynn AT, Cobb J, et al. Therapeutic plasma exchange for COVID-19-associated hyperviscosity. Transfusion. 2021;61:1029–34.
  12. Article CAS PubMed Google Scholar
  13. Abbasi K. Long covid and apheresis: a miracle cure sold on a hypothesis of hope. BMJ. 2022;378:o1733.
  14. Article Google Scholar
  15. Davies M. Long covid patients travel abroad for expensive and experimental “blood washing”. BMJ. 2022;378:o1671.
  16. Article PubMed Google Scholar
  17. Charfeddine S, Ibn Hadj Amor H, Jdidi J, Torjmen S, Kraiem S, Hammami R, et al. Long COVID 19 syndrome: is it related to microcirculation and endothelial dysfunction? Insights from TUN-EndCOV Study. Front Cardiovasc Med. 2021;8:745758.
  18. Article CAS PubMed PubMed Central Google Scholar
  19. Balcom EF, Nath A, Power C. Acute and chronic neurological disorders in COVID-19: potential mechanisms of disease. Brain. 2021;144:3576–88.
  20. Article PubMed PubMed Central Google Scholar
  21. Swank Z, Senussi Y, Manickas-Hill Z, Yu XG, Li JZ, Alter G, et al. Persistent circulating severe acute respiratory syndrome coronavirus 2 spike is associated with post-acute coronavirus disease 2019 sequelae. Clin Infect Dis. 2023;76:e487–e490.
  22. Article PubMed Google Scholar
  23. Aldhaleei WA, Alnuaimi A, Bhagavathula AS. COVID-19 induced hepatitis B virus reactivation: a novel case from the United Arab Emirates. Cureus. 2020;12:e8645.
  24. PubMed PubMed Central Google Scholar
  25. Gatto I, Biagioni E, Coloretti I, Farinelli C, Avoni C, Caciagli V, et al. Cytomegalovirus blood reactivation in COVID-19 critically ill patients: risk factors and impact on mortality. Intensive Care Med. 2022;48:706–13.
  26. Article CAS PubMed PubMed Central Google Scholar
  27. Meng M, Zhang S, Dong X, Sun W, Deng Y, Li W, et al. COVID-19 associated EBV reactivation and effects of ganciclovir treatment. Immun Inflamm Dis. 2022;10:e597.
  28. Article CAS PubMed PubMed Central Google Scholar
  29. Shariq M, Sheikh JA, Quadir N, Sharma N, Hasnain SE, Ehtesham NZ. COVID-19 and tuberculosis: the double whammy of respiratory pathogens. Eur Respir Rev. 2022;31:210264.
  30. Article PubMed PubMed Central Google Scholar
  31. Zubchenko S, Kril I, Nadizhko O, Matsyura O, Chopyak V. Herpesvirus infections and post-COVID-19 manifestations: a pilot observational study. Rheumatol Int. 2022;42:1523–30.
  32. Article CAS PubMed PubMed Central Google Scholar
  33. Mobasheri L, Nasirpour MH, Masoumi E, Azarnaminy AF, Jafari M, Esmaeili SA. SARS-CoV-2 triggering autoimmune diseases. Cytokine. 2022;154:155873.
  34. Article CAS PubMed PubMed Central Google Scholar
  35. Vahabi M, Ghazanfari T, Sepehrnia S. Molecular mimicry, hyperactive immune system, and SARS-COV-2 are three prerequisites of the autoimmune disease triangle following COVID-19 infection. Int Immunopharmacol. 2022;112:109183.
  36. Article CAS PubMed PubMed Central Google Scholar
  37. Zebardast A, Hasanzadeh A, Ebrahimian Shiadeh SA, Tourani M, Yahyapour Y. COVID-19: a trigger of autoimmune diseases. Cell Biol Int. 2023;47:848–58.
  38. Article CAS PubMed Google Scholar
  39. Choutka J, Jansari V, Hornig M, Iwasaki A. Unexplained post-acute infection syndromes. Nat Med. 2022;28:911–23.
  40. Article CAS PubMed Google Scholar
  41. Cabral-Marques O, Halpert G, Schimke LF, Ostrinski Y, Vojdani A, Baiocchi GC, et al. Autoantibodies targeting GPCRs and RAS-related molecules associate with COVID-19 severity. Nat Commun. 2022;13:1220.
  42. Article CAS PubMed PubMed Central Google Scholar
  43. Wallukat G, Hohberger B, Wenzel K, Furst J, Schulze-Rothe S, Wallukat A, et al. Functional autoantibodies against G-protein coupled receptors in patients with persistent Long-COVID-19 symptoms. J Transl Autoimmun. 2021;4:100100.
  44. Article CAS PubMed PubMed Central Google Scholar
  45. Joob B, Wiwanitkit V. Blood viscosity of COVID-19 patient: a preliminary report. Am J Blood Res. 2021;11:93–95.
  46. CAS PubMed PubMed Central Google Scholar
  47. Kubánková M, Hohberger B, Hoffmanns J, Fürst J, Herrmann M, Guck J, et al. Physical phenotype of blood cells is altered in COVID-19. Biophys J. 2021;120:2838–47.
  48. Article PubMed PubMed Central Google Scholar
  49. Osiaevi I, Schulze A, Evers G, Harmening K, Vink H, Kümpers P et al. Persistent capillary rarefication in long COVID syndrome. Angiogenesis. 2023:26:53–61.
  50. de Arriba Fernández A, Alonso Bilbao JL, Espiñeira Francés A, Cabeza Mora A, Gutiérrez Pérez Á, Díaz Barreiros M, et al. Assessment of SARS-CoV-2 infection according to previous metabolic status and its association with mortality and post-acute COVID-19. Nutrients. 2022;14:2925.
  51. Article PubMed PubMed Central Google Scholar
  52. Loosen SH, Jensen BO, Tanislav C, Luedde T, Roderburg C, Kostev K. Obesity and lipid metabolism disorders determine the risk for development of long COVID syndrome: a cross-sectional study from 50,402 COVID-19 patients. Infection. 2022;50:1165–70.
  53. Article CAS PubMed PubMed Central Google Scholar
  54. Stasiak A, Perdas E, Smolewska E. Risk factors of a severe course of pediatric multi-system inflammatory syndrome temporally associated with COVID-19. Eur J Pediatr. 2022;181:3733–8.
  55. Article CAS PubMed PubMed Central Google Scholar
  56. Xu E, Xie Y, Al-Aly Z. Risks and burdens of incident dyslipidaemia in long COVID: a cohort study. Lancet Diabetes Endocrinol. 2023;11:120–8.
  57. Article CAS PubMed PubMed Central Google Scholar
  58. Kopprasch S, Bornstein SR, Schwarz PE, Bergmann S, Julius U, Graessler J. Single whole blood dextran sulfate adsorption favorably affects systemic oxidative balance in lipoprotein apheresis patients. Atheroscler Suppl. 2013;14:157–60.
  59. Article CAS PubMed Google Scholar
  60. Kopprasch S, Graessler J, Bornstein SR, Schwarz PE, Tselmin S, Frind A, et al. Beyond lowering circulating LDL: apheresis-induced changes of systemic oxidative stress markers by four different techniques. Atheroscler Suppl. 2009;10:34–38.
  61. Article CAS PubMed Google Scholar
  62. Gräßler J, Kopprasch S, Passauer J, Fischer S, Schuhmann K, Bergmann S, et al. Differential effects of lipoprotein apheresis by lipidfiltration or dextran sulfate adsorption on lipidomic profile. Atheroscler Suppl. 2013;14:151–5.
  63. Article PubMed Google Scholar
  64. Julius U, Siegert G, Kostka H, Schatz U, Hohenstein B. Effects of different lipoprotein apheresis methods on serum protein levels. Atheroscler Suppl. 2015;18:95–102.
  65. Article CAS PubMed Google Scholar
  66. Hohenstein B, Passauer J, Ziemssen T, Julius U. Immunoadsorption with regenerating systems in neurological disorders -A single center experience. Atheroscler Suppl. 2015;18:119–23.
  67. Article PubMed Google Scholar
  68. Chauffier K, Salliot C, Berenbaum F, Sellam J. Effect of biotherapies on fatigue in rheumatoid arthritis: a systematic review of the literature and meta-analysis. Rheumatology. 2012;51:60–68.
  69. Article CAS PubMed Google Scholar
  70. Weber-Fishkin S, Seidner HS, Gunter G, Frame MD. Erythrocyte aggregation in sudden flow arrest is linked to hyperthermia, hypoxemia, and band 3 availability. J Thromb Haemost. 2022;20:2284–92.
  71. Article CAS PubMed Google Scholar
  72. Pasini E, Corsetti G, Romano C, Scarabelli TM, Chen-Scarabelli C, Saravolatz L, et al. Serum metabolic profile in patients with long-covid (PASC) syndrome: clinical implications. Front Med. 2021;8:714426.
  73. Article Google Scholar
  74. Straube R, Voit-Bak K, Gor A, Steinmeier T, Chrousos GP, Boehm BO, et al. Lipid profiles in lyme borreliosis: a potential role for apheresis? Horm Metab Res. 2019;51:326–9.
  75. Article CAS PubMed Google Scholar
  76. Yin X, Takov K, Straube R, Voit-Bak K, Graessler J, Julius U, et al. Precision medicine approach for cardiometabolic risk factors in therapeutic apheresis. Horm Metab Res. 2022;54:238–49.
  77. Article CAS PubMed Google Scholar
  78. Vollbracht C, Kraft K. Feasibility of vitamin C in the treatment of post viral fatigue with focus on long COVID, based on a systematic review of IV vitamin C on fatigue. Nutrients. 2021;13:1154.
  79. Article CAS PubMed PubMed Central Google Scholar
  80. Crook H, Raza S, Nowell J, Young M, Edison P. Long covid-mechanisms, risk factors, and management. BMJ. 2021;374:n1648.
  81. Article PubMed Google Scholar
  82. Byrne CJ, Khurana S, Kumar A, Tai TC. Inflammatory signaling in hypertension: regulation of adrenal catecholamine biosynthesis. Front Endocrinol. 2018;9:343.
  83. Article Google Scholar
  84. Fluge Ø, Bruland O, Risa K, Storstein A, Kristoffersen EK, Sapkota D, et al. Benefit from B-lymphocyte depletion using the anti-CD20 antibody rituximab in chronic fatigue syndrome. A double-blind and placebo-controlled study. PLoS One. 2011;6:e26358.
  85. Article CAS PubMed PubMed Central Google Scholar
  86. Fluge Ø, Risa K, Lunde S, Alme K, Rekeland IG, Sapkota D, et al. B-lymphocyte depletion in myalgic encephalopathy/ chronic fatigue syndrome. an open-label phase II study with rituximab maintenance treatment. PLoS One. 2015;10:e0129898.
  87. Article PubMed PubMed Central Google Scholar

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Funding

This study was supported by the German Research Foundation (DFG, project no. 314061271 and project no. 288034826). Open Access funding enabled and organized by Projekt DEAL.

Author information

Author notes

  1. These authors contributed equally: Martin Achleitner, Charlotte Steenblock.

Authors and Affiliations

  1. Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
  2. Martin Achleitner, Charlotte Steenblock, Juliane Dänhardt, Natalia Jarzebska, Romina Kardashi, Waldemar Kanczkowski, Roman N. Rodionov, Nitzan Bornstein, Sergey Tselmin & Stefan R. Bornstein
  3. Zentrum für Apherese- und Hämofiltration am INUS Tageklinikum, Cham, Germany
  4. Richard Straube & Karin Voit-Bak
  5. Alpstein Clinic, Gais, Switzerland
  6. Frank Kaiser
  7. Biologicum Baden-Baden INUSpherese Zentrum, Baden-Baden, Germany
  8. Ronald Bucher
  9. Department of Cardiology, Harefield Hospital, Harefield, United Kingdom
  10. Mahmoud Barbir
  11. Department of Psychiatry and Behavioral Sciences, College of Medicine, State University of New York (SUNY) Upstate Medical University, Syracuse, NY, USA
  12. Ma-Li Wong & Julio Licinio
  13. Department of Neuroscience & Physiology, College of Medicine, SUNY Upstate Medical University, Syracuse, NY, USA
  14. Ma-Li Wong & Julio Licinio
  15. School of Cardiovascular and Metabolic Medicine and Sciences, Faculty of Life Sciences & Medicine, King’s College London, London, UK
  16. Stefan R. Bornstein
  17. Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich (USZ), and University of Zurich (UZH), Zurich, Switzerland
  18. Stefan R. Bornstein

Contributions

RNR, KVB, and SRB designed research; MA, JD, NJ, RB, RS, ST, FK, and RB collected the clinical data; MA, WK, and KVB performed research; MA, CS, KBV, and RS analyzed data; CS and SRB wrote the initial draft of the paper; RNR, NB, MB, MLW, JL, and SRB supervised the study; All authors read and approved the manuscript.

Corresponding author

Correspondence to Charlotte Steenblock.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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