Nature and Consequences of Biological Reductionism for the Immunological Study of Infectious Diseases [electronic resource]

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Tác giả:

Ngôn ngữ: eng

Ký hiệu phân loại: 570 Life sciences Biology

Thông tin xuất bản: Los Alamos, N.M. : Oak Ridge, Tenn. : Los Alamos National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2017

Mô tả vật lý: Size: Article No. 612 : , digital, PDF file.

Bộ sưu tập: Metadata

ID: 260453

 Evolution has conserved ?economic? systems that perform many functions, faster or better, with less. For example, three to five leukocyte types protect from thousands of pathogens. In order to achieve so much with so little, biological systems combine their limited elements, creating complex structures. Yet, the prevalent research paradigm is reductionist. Focusing on infectious diseases, reductionist and non-reductionist views are here described. Furthermore, the literature indicates that reductionism is associated with information loss and errors, while non-reductionist operations can extract more information from the same data. When designed to capture one-to-many/many-to-one interactions?including the use of arrows that connect pairs of consecutive observations?non-reductionist (spatial?temporal) constructs eliminate data variability from all dimensions, except along one line, while arrows describe the directionality of temporal changes that occur along the line. To validate the patterns detected by non-reductionist operations, reductionist procedures are needed. Integrated (non-reductionist and reductionist) methods can (i) distinguish data subsets that differ immunologically and statistically
  (ii) differentiate false-negative from -positive errors
  (iii) discriminate disease stages
  (iv) capture in vivo, multilevel interactions that consider the patient, the microbe, and antibiotic-mediated responses
  and (v) assess dynamics. Integrated methods provide repeatable and biologically interpretable information.
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