It is hypothesized that the uremic toxin indoxyl sulfate (IS) plays a role in the pathogenesis of renal anemia. To further explore that hypothesis, we examined the effects of IS on reactive oxygen species (ROS) production, levels of reduced glutathione (GSH), and erythrocyte death (eryptosis) in red blood cells (RBC) from healthy controls (CON-RBC) and hemodialyzed patients (HD-RBC), respectively. RBC were incubated either in either TRIS-Glc-BSA buffer or IS at concentrations of 0.01, 0.09, and 0.17 mM, respectively. We measured ROS generation (expressed as % of DCFH-DA positive RBC), eryptosis (expressed as % of annexin-V positive RBC), and GSH levels after 6, 12, and 24 h. When incubated in buffer, ROS production was approximately seven-fold higher at all time points HD-RBC when compared to CON-RBC. Incubation with IS increased ROS production in CON-RBS dose-dependently up to 10-fold. Eryptosis in buffer-incubated HD-RBC was up to seven-fold higher as compared to COB-RBC. Incubation of CON-RBC with IS increased the eryptosis rate dose-dependently up to 6-fold. Pretreatment of CON-RBC with the organic anion transporter 2 (OAT2) specific inhibitor ketoprofen or with NADPH oxidase inhibitor diphenyleneiodonium-Cl blunted the IS effect on both ROS production and eryptosis induction. While GSH levels in HD-RBC were reduced when compared to CON-RBC, they were not affected by IS incubation. In summary, IS increases ROS generation and eryptosis in CON-RBC by an activity dependent of the IS influx through OAT2, and NADPH oxidase activity-dependent, and a GSH-independent mechanism. These findings lend support to a putative role of IS in the pathogenesis of renal anemia.

Background: We tested the effect of uremia on red blood cell (RBC) eryptosis, CD14⁺⁺/CD16⁺ monocytes and erythrophagocytosis. Design: RBC and monocytes from chronic kidney disease (CKD) stages 3/4 (P-CKD3/4) or hemodialysis (HD) patients and healthy controls (HCs) cells incubated with sera pools from patients with CKD stages 2/3 (S-CKD2/3) or 4/5 (S-CKD4/5) were evaluated to assess eryptosis, monocyte phenotypes and reactive oxygen species (ROS) by cytometer. Erythrophagocytosis was evaluated by subsequent co-incubation of preincubated HC-monocytes and autologous-RBC. Results: HC-eryptosis (1.3 ± 0.9%) was lower than in HD (4.3 ± 0.5%) and HC-RBC incubated with S-CKD4/5 (5.6 ± 1%). CD14⁺⁺/CD16⁺ were augmented in P-CKD3/4 (34.6 ± 8%) and HC-monocytes incubated with S-CKD4/5 (26.4 ± 7%) than in HC (5.4 ± 1%). In these cells, ROS was increased (44.5 ± 9%; control 9.6 ± 2%) and inhibited by N-acetylcysteine (25 ± 13%). Erythrophagocytosis was increased in CD14⁺⁺/CD16⁺ (60.8 ± 10%) than in CD14⁺⁺/CD16^- (15.5 ± 2%). Conclusions: Sera pools from CKD patients increase eryptosis and promote a proinflammatory monocyte phenotype. Both processes increased erythrophagocytosis, thereby suggesting a novel pathway for renal anemia.

Background and Objectives: The pathogenesis of anemia in hemodialysis (HD) patients is dependent on multiple factors, with decreased red blood cell life span (RBCLS) being a significant contributor. Although the impact of reduced RBCLS on anemia is recognized, it is still a subject that is not well researched. The objective of this study was to investigate the relationship between RBCLS and inflammatory biomarkers in chronic HD patients. Design, Setting, Participants, and Measurements: RBCLS was calculated from alveolar carbon monoxide concentrations measured by gas chromatography. Interleukins (IL) IL-6, IL-18, IL-10, and high sensitivity C-reactive protein were measured using bead-based multiplex assay. Measurements were carried out at baseline and during follow-up. The associations between RBCLS and inflammatory biomarkers were evaluated using linear mixed effects models. Results: RBCLS measurements were available for 54 HD patients. Their average age was 58.5 ± 14.4 years, 68.5% were males, 48.1% were diabetics, and the HD vintage was 51 ± 48 months. In 4 patients, RBCLS was measured once, while in 50 patients, up to 5 repeated RBCLS measurements were available. RBCLS was 73.2 ± 17.8 days (range 37.7-115.8 days). No association was found between RBCLS and any of the inflammatory biomarkers. Of note, RBCLS was positively correlated with levels of uric acid (p = 0.02) and blood urea nitrogen (BUN; p = 0.01), respectively. Conclusion: Our study suggests that inflammation pathways reported by these biomarkers only have a limited role in causing premature RBC death. The positive correlation with uric acid and BUN warrants further studies.

Mechanisms underlying the modulating effects of yogic cognitive-behavioral practices (eg, meditation, yoga asanas, pranayama breathing, caloric restriction) on human physiology can be classified into 4 transduction pathways: humoral factors, nervous system activity, cell trafficking, and bioelectromagnetism. Here we give examples of these transduction pathways and how, through them, yogic practices might optimize health, delay aging, and ameliorate chronic illness and stress from disability. We also recognize that most studies of these mechanisms remain embedded in a reductionist paradigm, investigating small numbers of elements of only 1 or 2 pathways. Moreover, often, subjects are not long-term practitioners, but recently trained. The models generated from such data are, in turn, often limited, top-down, without the explanatory power to describe beneficial effects of long-term practice or to provide foundations for comparing one practice to another. More flexible and useful models require a systems-biology approach to gathering and analysis of data. Such a paradigm is needed to fully appreciate the deeper mechanisms underlying the ability of yogic practice to optimize health, delay aging, and speed efficient recovery from injury or disease. In this regard, 3 different, not necessarily competing, hypotheses are presented to guide design of future investigations, namely, that yogic practices may: (1) promote restoration of physiologic setpoints to normal after derangements secondary to disease or injury, (2) promote homeostatic negative feedback loops over nonhomeostatic positive feedback loops in molecular and cellular interactions, and (3) quench abnormal "noise" in cellular and molecular signaling networks arising from environmental or internal stresses.