| Literature DB >> 33003628 |
Nikolas Rapp1, Pieter Evenepoel2, Peter Stenvinkel3, Leon Schurgers1.
Abstract
The cardiorenal syndrome relates to the detrimental interplay between the vascular system and the kidney. The uremic milieu induced by reduced kidney function alters the phenotype of vascular smooth muscle cells (VSMC) and promotes vascular calcification, a condition which is strongly linked to cardiovascular morbidity and mortality. Biological mechanisms involved include generation of reactive oxygen species, inflammation and accelerated senescence. A better understanding of the vasotoxic effects of uremic retention molecules may reveal novel avenues to reduce vascular calcification in CKD. The present review aims to present a state of the art on the role of uremic toxins in pathogenesis of vascular calcification. Evidence, so far, is fragmentary and limited with only a few uremic toxins being investigated, often by a single group of investigators. Experimental heterogeneity furthermore hampers comparison. There is a clear need for a concerted action harmonizing and standardizing experimental protocols and combining efforts of basic and clinical researchers to solve the complex puzzle of uremic vascular calcification.Entities:
Keywords: cardiovascular disease; chronic kidney disease; middle molecules; protein bound uremic solutes; uremia; uremic toxins; vascular calcification; vascular smooth muscle cells; water-soluble uremic solutes
Mesh:
Substances:
Year: 2020 PMID: 33003628 PMCID: PMC7599869 DOI: 10.3390/toxins12100624
Source DB: PubMed Journal: Toxins (Basel) ISSN: 2072-6651 Impact factor: 4.546
Described URM where selected to be part of this review on basis of the database maintained by the European Uremic Toxin work group, complemented by two further publications. Table 1 summarizes the basic information of the included URM, showing the number of molecules per group (#) and the respective percentage from all molecules (%), as well as the characteristic size range and a typical example molecule.
| Middle molecules | 46 (30,5) | # (%) | MW > 500 Da | e.g., TNF |
| Protein bound | 32 (21,2 | # (%) | - | e.g., Indoxyl sulfate |
| Water soluble | 73 (48,3) | # (%) | MW < 500 Da | e.g., Urea |
| Total | 151 (100) | #(%) |
Figure 1Literature was screened for effects of uremic retention molecules on vascular smooth muscle cells, with relevance for vascular calcification. Relevant review terms have been defined as the three levels of calcification research–in vitro, in vivo and clinical, and were completed by pertinent phrases. The extent to which molecules of each group have (black bar) or have not (grey bar) been investigated with respect to a given topic, displayed as % per group, is presented.
Repository of studies investigating MM towards their effect on VC, as well as their effects on VC related processes in VSMC.
| Calcification | Calcification | Calcification | Osteogenesis | Oxidative Stress | Inflammation | Apoptosis | Senescence | Proliferation | Migration | Atherosclerosis | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| APN | ↓[ | ↓[ | ↑[ | ↓[ | ↓[ | ↓[ | ↓[ | ↓[ | ↓[ | ||
| ADM | ↓[ | ↓[ | ↓[ | ↓[ | ↑[ | ↓[ | |||||
| ET | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ||
| IL-8 | ↑[ | ↑[ | ↓[ | ↑[ | ↑[ | ||||||
| IL-18 | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | |||
| IL-1β | ↑[ | ↑[ | —[ | ↑[ | —[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ |
| IL-6 | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑↓[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ |
| PTH | ↑[ | ↑[ | ↑[ | ↑[ | ↓[ | —[ | |||||
| TNF | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ |
↑ = increase, ↓ = decrease, — = tested, but no effect, ~ = unclear effect, Abbreviations: Adrenomedullin = ADM, Endothelin = ET, Interleukin = IL, Parathyroid hormone = PTH, Tumor necrosis factor alpha = TNF-α, Adiponectin = APN.
Repository of studies investigating PBURM towards their effect on VC, as well as their effects on VC related processes in VSMC.
| Calcification | Calcification | Calcification | Osteogenesis | Oxidative Stress | Inflammation | Apoptosis | Senescence | Proliferation | Migration | Atherosclerosis | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Hcy | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | |
| IS | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ |
| Leptin | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | |
| CML | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↓[ | ↑[ | ↑[ | |||
| pCS | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | |||
| SM | ↓[ | ↑[ | ↑[ | ↑[ |
↑= increase, ↓ = decrease, — = tested, but no effect. Abbreviations: Homocystein = Hcy, Indoxyl sulfate = IS, N(6)-Carboxymethyllysine = CML, p cresyl sulfate = pCS, Spermine = SM.
Repository of studies investigating LMWS towards their effect on VC, as well as their effects on VC related processes in VSMC.
| Calcification | Calcification | Calcification | Osteogenesis | Oxidative Stress | Inflammation | Apoptosis | Senescence | Proliferation | Migration | Atherosclerosis | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ADMA | ↓[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↓[ | ||||
| G | —[ | —[ | |||||||||
| GAA | —[ | —[ | |||||||||
| GSA | ↓[ | —[ | |||||||||
| MG | —[ | —[ | |||||||||
| MMA | ↓[ | ↓[ | ↑[ | ||||||||
| NA | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ||||||
| SDMA | ↓[ | —[ | |||||||||
| TMAO | ↑[ | ↑[ | —[ | ↑[ | ↑[ | ↑[ | |||||
| UA | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ↑[ | ||
| GPA | —[ | —[ | |||||||||
| GBA | —[ | —[ |
↑ = increase, ↓ = decrease, — = tested, but no effect. Abbrevations: γ-guanidinobutyric Acid = GBA, β-Guanidinopropionic Acid = GPA, Uric acid = UA, Trimethylamine-N-oxide = TMAO, Symmetric Dimethylarginine = SDMA, Asymmetric Dimethylarginine = ADMA, Noradrenalin = NA, Monomethylamine = MMA, Methylguanidine = MG, Guanidino succinic acid = GSA, Guanidino acetic acid = GAA, Guanidine = G.
Figure 2Outline of a systematic screening approach for uremic retention molecules (URM). 1. URM need to be collected and organized in a library, possibly starting with the European Uremic Toxin Work Group’s database, extended by recent discoveries. 2. URM need to be logically sorted into smaller, accessible groups. Clustering strategies could be based on chemical similarity, origin, or others. 3. A selection for actual testing needs to be applied which could be by, educated guessing based on known effects, testing the representative molecule from each cluster to identify relevant subgroups or by testing cluster wise. 4. Selected molecules are tested systematically in on one or more cell types for relevant effects like calcification, inflammation, apoptosis, etc. … in vitro, 5. If successful in vivo and 6. On a clinical level.