Inflammation Thread Runs across Medical Laboratory Specialities

We work on the assumption that four major specialities or sectors of medical laboratory assays, comprising clinical chemistry, haematology, immunology, and microbiology, embraced by genome sequencing techniques, are routinely in use. Medical laboratory markers for inflammation serve as model: they a...

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Main Authors: Urs Nydegger, Thomas Lung, Lorenz Risch, Martin Risch, Pedro Medina Escobar, Thomas Bodmer
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mediators of Inflammation
Online Access:http://dx.doi.org/10.1155/2016/4121837
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spelling doaj-16fc56738bd745af8d3894a7bb5a22fb2020-11-24T21:36:22ZengHindawi LimitedMediators of Inflammation0962-93511466-18612016-01-01201610.1155/2016/41218374121837Inflammation Thread Runs across Medical Laboratory SpecialitiesUrs Nydegger0Thomas Lung1Lorenz Risch2Martin Risch3Pedro Medina Escobar4Thomas Bodmer5Labormedizinisches Zentrum Dr. Risch and Kantonsspital Graubünden, 7000 Chur, SwitzerlandLabormedizinisches Zentrum Dr. Risch and Kantonsspital Graubünden, 7000 Chur, SwitzerlandLabormedizinisches Zentrum Dr. Risch and Kantonsspital Graubünden, 7000 Chur, SwitzerlandLabormedizinisches Zentrum Dr. Risch and Kantonsspital Graubünden, 7000 Chur, SwitzerlandLabormedizinisches Zentrum Dr. Risch and Kantonsspital Graubünden, 7000 Chur, SwitzerlandLabormedizinisches Zentrum Dr. Risch and Kantonsspital Graubünden, 7000 Chur, SwitzerlandWe work on the assumption that four major specialities or sectors of medical laboratory assays, comprising clinical chemistry, haematology, immunology, and microbiology, embraced by genome sequencing techniques, are routinely in use. Medical laboratory markers for inflammation serve as model: they are allotted to most fields of medical lab assays including genomics. Incessant coding of assays aligns each of them in the long lists of big data. As exemplified with the complement gene family, containing C2, C3, C8A, C8B, CFH, CFI, and ITGB2, heritability patterns/risk factors associated with diseases with genetic glitch of complement components are unfolding. The C4 component serum levels depend on sufficient vitamin D whilst low vitamin D is inversely related to IgG1, IgA, and C3 linking vitamin sufficiency to innate immunity. Whole genome sequencing of microbial organisms may distinguish virulent from nonvirulent and antibiotic resistant from nonresistant varieties of the same species and thus can be listed in personal big data banks including microbiological pathology; the big data warehouse continues to grow.http://dx.doi.org/10.1155/2016/4121837
collection DOAJ
language English
format Article
sources DOAJ
author Urs Nydegger
Thomas Lung
Lorenz Risch
Martin Risch
Pedro Medina Escobar
Thomas Bodmer
spellingShingle Urs Nydegger
Thomas Lung
Lorenz Risch
Martin Risch
Pedro Medina Escobar
Thomas Bodmer
Inflammation Thread Runs across Medical Laboratory Specialities
Mediators of Inflammation
author_facet Urs Nydegger
Thomas Lung
Lorenz Risch
Martin Risch
Pedro Medina Escobar
Thomas Bodmer
author_sort Urs Nydegger
title Inflammation Thread Runs across Medical Laboratory Specialities
title_short Inflammation Thread Runs across Medical Laboratory Specialities
title_full Inflammation Thread Runs across Medical Laboratory Specialities
title_fullStr Inflammation Thread Runs across Medical Laboratory Specialities
title_full_unstemmed Inflammation Thread Runs across Medical Laboratory Specialities
title_sort inflammation thread runs across medical laboratory specialities
publisher Hindawi Limited
series Mediators of Inflammation
issn 0962-9351
1466-1861
publishDate 2016-01-01
description We work on the assumption that four major specialities or sectors of medical laboratory assays, comprising clinical chemistry, haematology, immunology, and microbiology, embraced by genome sequencing techniques, are routinely in use. Medical laboratory markers for inflammation serve as model: they are allotted to most fields of medical lab assays including genomics. Incessant coding of assays aligns each of them in the long lists of big data. As exemplified with the complement gene family, containing C2, C3, C8A, C8B, CFH, CFI, and ITGB2, heritability patterns/risk factors associated with diseases with genetic glitch of complement components are unfolding. The C4 component serum levels depend on sufficient vitamin D whilst low vitamin D is inversely related to IgG1, IgA, and C3 linking vitamin sufficiency to innate immunity. Whole genome sequencing of microbial organisms may distinguish virulent from nonvirulent and antibiotic resistant from nonresistant varieties of the same species and thus can be listed in personal big data banks including microbiological pathology; the big data warehouse continues to grow.
url http://dx.doi.org/10.1155/2016/4121837
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