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: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Mediators of Inflammation |
| Online Access: | http://dx.doi.org/10.1155/2016/4121837 |
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| _version_ | 1849308032955056128 |
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| author | Urs Nydegger Thomas Lung Lorenz Risch Martin Risch Pedro Medina Escobar Thomas Bodmer |
| author_facet | Urs Nydegger Thomas Lung Lorenz Risch Martin Risch Pedro Medina Escobar Thomas Bodmer |
| author_sort | Urs Nydegger |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-16fc56738bd745af8d3894a7bb5a22fb |
| institution | Kabale University |
| issn | 0962-9351 1466-1861 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Mediators of Inflammation |
| spelling | doaj-art-16fc56738bd745af8d3894a7bb5a22fb2025-08-20T03:54:33ZengWileyMediators 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 |
| spellingShingle | Urs Nydegger Thomas Lung Lorenz Risch Martin Risch Pedro Medina Escobar Thomas Bodmer Inflammation Thread Runs across Medical Laboratory Specialities Mediators of Inflammation |
| title | 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_short | Inflammation Thread Runs across Medical Laboratory Specialities |
| title_sort | inflammation thread runs across medical laboratory specialities |
| url | http://dx.doi.org/10.1155/2016/4121837 |
| work_keys_str_mv | AT ursnydegger inflammationthreadrunsacrossmedicallaboratoryspecialities AT thomaslung inflammationthreadrunsacrossmedicallaboratoryspecialities AT lorenzrisch inflammationthreadrunsacrossmedicallaboratoryspecialities AT martinrisch inflammationthreadrunsacrossmedicallaboratoryspecialities AT pedromedinaescobar inflammationthreadrunsacrossmedicallaboratoryspecialities AT thomasbodmer inflammationthreadrunsacrossmedicallaboratoryspecialities |