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Syllwasschy, B. F.

Publications and source records attributed to Syllwasschy, B. F..

2 recordsLinked to original sources

Revisiting the interaction of heme with hemopexin: Recommendations for the responsible use of an emerging drug

In hemolytic disorders, erythrocyte lysis results in massive release of hemoglobin and, subsequently, toxic heme. Hemopexin is the major protective factor against heme toxicity in human blood and currently considered for therapeutic use. It has been widely accepted that hemopexin binds heme with extraordinarily high affinity in a 1:1 ratio. Here we show that hemopexin binds heme with lower affinity than previously assumed and that the interaction ratio tends to 2:1 (heme:hemopexin) or above. The heme-binding sites of hemopexin were characterized using hemopexin-derived peptide models and competitive displacement assays. In addition, in silico molecular modelling with a newly created homology model of human hemopexin allowed us to propose a recruiting mechanism by which heme consecutively binds to several histidine residues and is finally funnelled into the high-affinity binding pocket. Our findings have direct implications for the biomedical application of hemopexin and its potential administration in hemolytic disorders.

biochemistry↗

A computational approach for mapping heme biology in the context of hemolytic disorders

Heme is an iron ion-containing molecule found within hemoproteins such as hemoglobin and cytochromes that participates in diverse biological processes. While its unlimited supply has been implicated in deleterious processes in several diseases including malaria, sepsis, ischemia-reperfusion, and disseminated intravascular coagulation, little is known about its regulatory and signaling functions. A majority of the computational research to elucidate these functions has been purely data-driven due to the absence of curated pathway resources, which have proven useful in the computational study in other indications. Here, we present two resources aimed to exploit this unexplored information to model heme biology. The first resource is an ontology covering heme-specific terms not yet included in standard controlled vocabularies. Using this ontology, we curated and modeled a corpus of 46 scientific articles to generate a mechanistic knowledge graph representing the hemes interactome for that particular literature. Finally, we demonstrated the utility of these resources by investigating the role of heme in the Toll-like receptor signaling pathway. Our analysis proposed a series of crosstalk events that could explain the role of heme in activating the TLR4 signaling pathway. In summary, the presented work opens the door for the scientific community to explore in more detail the published knowledge on heme biology.

bioinformatics↗