ReviewClinical and experimental immunology2007
The chemokine network. II. On how polymorphisms and alternative splicing increase the number of molecular species and configure intricate patterns of disease susceptibility.
Review in Clinical and experimental immunology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 68 citations in OpenAlex.
- Association of chemokine and chemokine receptor gene variants with occurrence of multiple primary melanoma.Melanoma research · 2026Article
- Chemokine ligand 2: beyond chemotaxis-a multifaceted role in tumor progression.Frontiers in immunology · 2025Review
- Send it, receive it, quick erase it: A mouse model to decipher chemokine communication.The Journal of experimental medicine · 2024Article
- Effect of SDF-1 and CXCR4 gene variants on the development of diabetic kidney disease.International journal of medical sciences · 2024Article
- New genetic and epigenetic insights into the chemokine system: the latest discoveries aiding progression toward precision medicine.Cellular & molecular immunology · 2023Review
- The chemokines CXCL8 and CXCL12: molecular and functional properties, role in disease and efforts towards pharmacological intervention.Cellular & molecular immunology · 2023Review
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- New Markers of Disease Progression in Myelofibrosis.Cancers · 2021Review
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- Impact of the rs1024611 Polymorphism ofCancers · 2021Article
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- Evolution of CCL16 in Glires (Rodentia and Lagomorpha) shows an unusual random pseudogenization pattern.BMC evolutionary biology · 2019Article
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- Mechanistic insights into molecular evolution of species-specific differential glycosaminoglycan binding surfaces in growth-related oncogene chemokines.Royal Society open science · 2017Article
- Immune-related gene polymorphisms in pulmonary diseases.Toxicology · 2017Review
- Analysis of the expression of SDF-1 splicing variants in human colorectal cancer and normal mucosa tissues.Oncology letters · 2016Article
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- The SDF-1α3'A genetic variation is correlated with susceptibility of asthma in Iranian patients.BioMed research international · 2013Article
- Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this second review on chemokines, we focus on the polymorphisms and alternative splicings and on their consequences in disease. Because chemokines are key mediators in the pathogenesis of inflammatory, autoimmune, vascular and neoplastic disorders, a large number of studies attempting to relate particular polymorphisms of chemokines to given diseases have already been conducted, sometimes with contradictory results. Reviewing the published data, it becomes evident that some chemokine genes that are polymorphic have alleles that are found repeatedly, associated with disease of different aetiologies but sharing some aspects of pathogenesis. Among CXC chemokines, single nucleotide polymorphisms (SNPs) in the CXCL8 and CXCL12 genes stand out, as they have alleles associated with many diseases such as asthma and human immunodeficiency virus (HIV), respectively. Of CC chemokines, the stronger associations occur among alleles from SNPs in CCL2 and CCL5 genes and a number of inflammatory conditions. To understand how chemokines contribute to disease it is also necessary to take into account all the isoforms resulting from differential splicing. The first part of this review deals with polymorphisms and the second with the diversity of molecular species derived from each chemokine gene due to alternative splicing phenomena. The number of molecular species and the level of expression of each of them for every chemokine and for each functionally related group of chemokines reaches a complexity that requires new modelling algorithms akin to those proposed in systems biology approaches.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.