New techniques grouped together under the general term of "omic" techniques are bringing about a revolution in biological research, as can be clearly seen in the case of genomics. However, environmental factors (such as lifestyle, socioeconomic context and diet) have not been incorporated to their full extent into these "omic" techniques despite evidence that many common diseases largely result from interactions between genetic and environmental factors. However, if the integration of environmental variables into "omic" analysis is to provide valuable information, it is essential that they are quantified in a highly precise and repeatable manner and that they are adequately validated. In addition, because of the enormous volume of information that will be generated by "omic" techniques and by taking environmental variables into account, it is also essential that bioinformatics and biostatistical methods are further developed.
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http://dx.doi.org/10.1016/s0300-8932(09)72118-9 | DOI Listing |
J Anim Breed Genet
January 2025
Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), CSIC, Madrid, Spain.
The advancement of epigenetics has highlighted DNA methylation as an intermediate-omic influencing gene regulation and phenotypic expression. With emerging technologies enabling the large-scale and affordable capture of methylation data, there is growing interest in integrating this information into genetic evaluation models for animal breeding. This study used methylome information from six dairy cows to simulate the methylation profile of 13,183 genotyped animals.
View Article and Find Full Text PDFGenes (Basel)
January 2025
IFOM-The AIRC Institute of Molecular Oncology, 20139 Milano, Italy.
This review provides a comprehensive overview of the evolving role of minimal residual disease (MRD) for patients with Colon Cancer (CC). Currently, the standard of care for patients with non-metastatic CC is adjuvant chemotherapy (ACT) for all patients with stage III and high-risk stage II CC following surgical intervention. Despite a 5-20% improvement in long-term survival outcomes, this approach also results in a significant proportion of patients receiving ACT without any therapeutic benefit and being unnecessarily exposed to the risks of secondary side effects.
View Article and Find Full Text PDFMetabolites
January 2025
Guangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou 510642, China.
: The integration of microbiome and metabolome data could unveil profound insights into biological processes. However, widely used multi-omic data analyses often employ a stepwise mining approach, failing to harness the full potential of multi-omic datasets and leading to reduced detection accuracy. Synergistic analysis incorporating microbiome/metabolome data are essential for deeper understanding.
View Article and Find Full Text PDFMetabolites
December 2024
Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences, Ministry of Agriculture and Rural Areas, Harbin 150070, China.
: Owing to the progressive rise in saline waters globally, resulting in detrimental impacts on freshwater aquaculture, the underlying molecular distinctions governing the response to alkaline stress between diploid and triploid crucian carp remain unknown. : This investigation explores the effects of 20 and 60 mmol NaHCO stress over 30 days on the gills of diploid and triploid crucian carp, employing histological, biochemical, and multi-omic analyses. : Findings reveal structural damage to gill lamellas in the examined tissue.
View Article and Find Full Text PDFJ Ultrasound
January 2025
, Costa Contina street n. 19, 66054, Vasto, Chieti, Italy.
Aim: o point out how novel analysis tools of AI can make sense of the data acquired during OL and OC diagnosis and treatment in an effort to help improve and standardize the patient pathway for these disease.
Material And Methods: ultilizing programmed detection of heterogeneus OL and OC habitats through radiomics and correlate to imaging based tumor grading plus a literature review.
Results: new analysis pipelines have been generated for integrating imaging and patient demographic data and identify new multi-omic biomarkers of response prediction and tumour grading using cutting-edge artificial intelligence (AI) in OL and OC.
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