Hemoglobin Variants Influence Plasmodium Falciparum Sexual Differentiation

It has long been recognized that individuals who express variations of the hemoglobin-A (HbA) protein experience less severe malaria disease. As malaria remains to be one of the most significant infectious diseases in history, this human adaptation has led to the persistence of HbA variants (HbVARs) in the population. The intricate lifecycle of the parasite which causes the most cases of clinical malaria, Plasmodium falciparum, relies on both asexual and sexual reproductive cycles, with host to vector transmission reliant on sexual stage gametocyte formation. Multiple epidemiological studies have shown that HbVARs may influence gametocyte production during P. falciparum infection, with greater gametocyte numbers reported in individuals with hemoglobin variant containing erythrocytes (Hb VAR-Ery) when compared to hemoglobin A containing erythrocytes (Hb A-Ery). Here we provide experimental support for these studies by showing significantly higher sexual differentiation rates among parasites grown in Hb S containing erythrocytes (Hb S-Ery) obtained from sickle cell patients than those differentiated in Hb A-Ery (p=0.038). Because the digestion of hemoglobin is such an integral part of the intraerythrocytic cycle, we then sought to determine whether there was a difference between the hydrolysis efficiencies of HbA and other hemoglobin variants (HbVAR). By using a prominent recombinant P. falciparum hemoglobinase we found the hydrolysis efficiency of HbA to be significantly (p=0.0058) more efficient after 24 hours compared to a HbVAR sample containing mixed amounts of HbA, HbF, and HbS. To further determine whether there is a link between hemoglobin digestion efficiency and sexual differentiation, we therapeutically inhibited the hemoglobin digestion and hemozoin formation process in a culture of P. falciparum using sub-optimal doses of chloroquine diphosphate. We found a significant difference (p<0.001) among gametocyte conversion rates between treated and non-treated cultures, as well as a moderate negative correlation between hemozoin formation and gametocyte conversion rate (Pearson r=0.72, p=0.008). Gene expression analysis also revealed patterns of expression that were consistent with increased gametocytogenesis. We conclude that hemoglobin type plays a significant role in the process of sexual conversion in P. falciparum. Though further studies should be completed in order to confirm these results, these findings may suggest hemoglobin digestion efficiency as a causative factor for sexual differentiation. As individuals with hemoglobinopathies make up approximately 7% of the global population, and malaria infection rates have been shown to differ depending on these genetic dynamics, these findings may support the creation of targeted initiatives to reduce transmission specifically in areas where there is a high percentage of hemoglobinopathy carriage. Disclosures No relevant conflicts of interest to declare.

Machine Learning Approaches to Predict Risks of Diabetic Complications and Poor Glycemic Control in Nonadherent Type 2 Diabetes

Purpose: The objective of this study was to evaluate the efficacy of machine learning algorithms in predicting risks of complications and poor glycemic control in nonadherent type 2 diabetes (T2D).Materials and Methods: This study was a real-world study of the complications and blood glucose prognosis of nonadherent T2D patients. Data of inpatients in Sichuan Provincial People’s Hospital from January 2010 to December 2015 were collected. The T2D patients who had neither been monitored for glycosylated hemoglobin A nor had changed their hyperglycemia treatment regimens within the last 12 months were the object of this study. Seven types of machine learning algorithms were used to develop 18 prediction models. The predictive performance was mainly assessed using the area under the curve of the testing set.Results: Of 800 T2D patients, 165 (20.6%) met the inclusion criteria, of which 129 (78.2%) had poor glycemic control (defined as glycosylated hemoglobin A ≥7%). The highest area under the curves of the testing set for diabetic nephropathy, diabetic peripheral neuropathy, diabetic angiopathy, diabetic eye disease, and glycosylated hemoglobin A were 0.902 ± 0.040, 0.859 ± 0.050, 0.889 ± 0.059, 0.832 ± 0.086, and 0.825 ± 0.092, respectively.Conclusion: Both univariate analysis and machine learning methods reached the same conclusion. The duration of T2D and the duration of unadjusted hypoglycemic treatment were the key risk factors of diabetic complications, and the number of hypoglycemic drugs was the key risk factor of glycemic control of nonadherent T2D. This was the first study to use machine learning algorithms to explore the potential adverse outcomes of nonadherent T2D. The performances of the final prediction models we developed were acceptable; our prediction performances outperformed most other previous studies in most evaluation measures. Those models have potential clinical applicability in improving T2D care.

A Carbon-Based Antifouling Nano-Biosensing Interface for Label-Free POCT of HbA1c

Electrochemical biosensing relies on electron transport on electrode surfaces. However, electrode inactivation and biofouling caused by a complex biological sample severely decrease the efficiency of electron transfer and the specificity of biosensing. Here, we designed a three-dimensional antifouling nano-biosensing interface to improve the efficiency of electron transfer by a layer of bovine serum albumin (BSA) and multi-walled carbon nanotubes (MWCNTs) cross-linked with glutaraldehyde (GA). The electrochemical properties of the BSA/MWCNTs/GA layer were investigated using both cyclic voltammetry and electrochemical impedance to demonstrate its high-efficiency antifouling nano-biosensing interface. The BSA/MWCNTs/GA layer kept 92% of the original signal in 1% BSA and 88% of that in unprocessed human serum after a 1-month exposure, respectively. Importantly, we functionalized the BSA/MWCNTs/GA layer with HbA1c antibody (anti-HbA1c) and 3-aminophenylboronic acid (APBA) for sensitive detection of glycated hemoglobin A (HbA1c). The label-free direct electrocatalytic oxidation of HbA1c was investigated by cyclic voltammetry (CV). The linear dynamic range of 2 to 15% of blood glycated hemoglobin A (HbA1c) in non-glycated hemoglobin (HbAo) was determined. The detection limit was 0.4%. This high degree of differentiation would facilitate a label-free POCT detection of HbA1c.

Cas9-AAV6 gene correction of beta-globin in autologous HSCs improves sickle cell disease erythropoiesis in mice

CRISPR/Cas9-mediated beta-globin (HBB) gene correction of sickle cell disease (SCD) patient-derived hematopoietic stem cells (HSCs) in combination with autologous transplantation represents a recent paradigm in gene therapy. Although several Cas9-based HBB-correction approaches have been proposed, functional correction of in vivo erythropoiesis has not been investigated previously. Here, we use a humanized globin-cluster SCD mouse model to study Cas9-AAV6-mediated HBB-correction in functional HSCs within the context of autologous transplantation. We discover that long-term multipotent HSCs can be gene corrected ex vivo and stable hemoglobin-A production can be achieved in vivo from HBB-corrected HSCs following autologous transplantation. We observe a direct correlation between increased HBB-corrected myeloid chimerism and normalized in vivo red blood cell (RBC) features, but even low levels of chimerism resulted in robust hemoglobin-A levels. Moreover, this study offers a platform for gene editing of mouse HSCs for both basic and translational research.