Common, often overlooked, variables in biomedical research with animals are reviewed. The barren primary enclosure is an abnormal living environment for laboratory animals. Species-appropriate enrichment attenuates some of the distress resulting from chronic understimulation. Social deprivation distress of individually-caged social animals is best mitigated by the provision of compatible companionship. Biotelemetry and positive reinforcement training avoid or minimize stress reactions that typically occur when animals are forcibly restrained during procedures. The variables, 'light' and 'position of living quarters' are inherent in the multi-tier caging system. To date there is no satisfactory alternative other than the single-tier cage arrangement that eliminates both variables. Removing test animals from their familiar home environment and from their cage mates for procedures introduces stress as an avoidable influential variable. Music may become an important variable if not all subjects are exposed to it. Disturbance time cannot be controlled as an extraneous variable but it should at least be mentioned to explain possible incongruities of data. A positive relationship between animal care personnel and research subjects is a key requisite to minimize stress as a data-confounding variable.
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http://dx.doi.org/10.1258/002367704323133600 | DOI Listing |
BMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA.
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
Nat Chem Biol
January 2025
Department of Medical Cell Biology, Uppsala University, Biomedical Centre, Uppsala, Sweden.
Diabetes is characterized by variable loss of insulin-producing beta cells, and new regenerative approaches to increasing the functional beta cell mass of patients hold promise for reversing disease progression. In this Review, we summarize recent chemical biology breakthroughs advancing our knowledge of beta cell regeneration. We present current chemical-based tools, sensors and mechanistic insights into pathways that can be targeted to enhance beta cell regeneration in model organisms.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Statistics and Data Science, University of California, Los Angeles, CA, 90095-1554, USA.
In the analysis of spatially resolved transcriptomics data, detecting spatially variable genes (SVGs) is crucial. Numerous computational methods exist, but varying SVG definitions and methodologies lead to incomparable results. We review 34 state-of-the-art methods, classifying SVGs into three categories: overall, cell-type-specific, and spatial-domain-marker SVGs.
View Article and Find Full Text PDFGut
January 2025
Barts Cancer Institute, Queen Mary University of London, London, UK
Background: The risk of developing advanced neoplasia (AN; colorectal cancer and/or high-grade dysplasia) in ulcerative colitis (UC) patients with a low-grade dysplasia (LGD) lesion is variable and difficult to predict. This is a major challenge for effective clinical management.
Objective: We aimed to provide accurate AN risk stratification in UC patients with LGD.
Am J Obstet Gynecol MFM
January 2025
Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Sidney Kimmel Medical College, Thomas Jefferson University.
Background: PTB (PTB) remains a leading cause of neonatal morbidity and mortality. Cerclage for short cervical length (CL) ≤25mm in singletons with a history of spontaneous PTB is associated with decreased neonatal morbidity/mortality. Both vaginal progesterone and cerclage individually have level 1 evidence supporting benefit in prevention of PTB in pregnancies complicated by short CL, however there is a paucity of level 1 evidence regarding the potential benefit of cerclage with progesterone compared to progesterone alone for short CL ≤25mm in singletons without a history of spontaneous PTB.
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