CFP/Yit: An Inbred Mouse Strain with Slow Gastrointestinal Transit.

BACKGROUND: Gastrointestinal transit (GIT) is influenced by factors including diet, medications, genetics, and gut microbiota, with slow GIT potentially indicating a functional disorder linked to conditions, such as constipation. Although GIT studies have utilized various animal models, few effectively model spontaneous slow GIT. AIMS: We aimed to characterize the GIT phenotype of CFP/Yit (CFP), an inbred mouse strain with suggested slow GIT. METHODS: Female and male CFP mice were compared to Crl:CD1 (ICR) mice in GIT and assessed based on oral gavage of fluorescent-labeled 70-kDa dextran, feed intake, fecal amount, and fecal water content. Histopathological analysis of the colon and analysis of gut microbiota were conducted. RESULTS: CFP mice exhibited a shorter small intestine and a 1.4-fold longer colon compared to ICR mice. The median whole-GIT time was 6.0-fold longer in CFP mice than in ICR mice. CFP mice demonstrated slower gastric and cecal transits than ICR mice, with a median colonic transit time of 4.1 h (2.9-fold longer). CFP mice exhibited lower daily feed intakes and fecal amounts. Fecal water content was lower in CFP mice, apparently attributed to the longer colon. Histopathological analysis showed no changes in CFP mice, including tumors or inflammation. Moreover, CFP mice had a higher Firmicutes/Bacteroidota ratio and a relative abundance of Erysipelotrichaceae in cecal and fecal contents. CONCLUSIONS: This study indicates that CFP mice exhibit slow transit in the stomach, cecum, and colon. As a novel mouse model, CFP mice can contribute to the study of gastrointestinal physiology and disease.

Human gut microbiota influences drug-metabolizing enzyme hepatic Cyp3a: A human flora-associated mice study.

Several studies revealed that gut microbiota affects the hepatic drug-metabolizing enzyme cytochrome P450 (Cyp). We hypothesized that individual gut microbiota variations could contribute to CYP activity. Human flora-associated (HFA) mice are established from germ-free mice using human feces and are often used to determine the effect of the human gut microbiota on the host. This study generated two groups of HFA mice using feces from two healthy individuals. Then, the composition of gut microbiota and hepatic Cyp activity was compared to analyze the effects of gut microbiota in healthy individuals on hepatic Cyp activity. A principal coordinate analysis based on the UniFrac distance for the composition of the cecal and fecal microbiota revealed apparent differences between the recipient groups. Hepatic Cyp, which is a marked difference in Cyp3a activity and Cyp3a11 gene expression, was observed between the recipient groups. Cyp2c and Cyp1a activities did not differ between recipient groups, with significantly lower enzymatic activities in recipients than in germ-free mice. These results indicate that the human gut microbiota affects hepatic Cyp activity. Especially, human gut microbiota composition differences have a pronounced effect on Cyp3a activity via Cyp3a11 gene expression regulation. Therefore, human gut microbiota variations among individuals may affect numerous drug metabolism, leading to drug efficacy and toxicity.

Evolutionary game theory of continuous traits from a causal perspective.

Modern evolutionary game theory typically deals with the evolution of continuous, quantitative traits under weak selection, allowing the incorporation of rich biological detail and complicated nonlinear interactions. While these models are commonly used to find candidates for evolutionary endpoints and to approximate evolutionary trajectories, a less appreciated property is their potential to expose and clarify the causal structure of evolutionary processes. The mathematical step of differentiation breaks a nonlinear model into additive components which are more intuitive to interpret, and when combined with a proper causal hypothesis, partial derivatives in such models have a causal meaning. Such an approach has been used in the causal analysis of game-theoretical models in an informal manner. Here we formalize this approach by linking evolutionary game theory to concepts developed in causal modelling over the past century, from path coefficients to the recently proposed causal derivative. There is a direct correspondence between the causal derivative and the derivative used in evolutionary game theory. Some game theoretical models (e.g. kin selection) consist of multiple causal derivatives. Components of these derivatives correspond to components of the causal derivative, to path coefficients, and to edges on a causal graph, formally linking evolutionary game theory to causal modelling. This article is part of the theme issue 'Half a century of evolutionary games: a synthesis of theory, application and future directions'.

A generalised approach to the study and understanding of adaptive evolution.

Evolutionary theory has made large impacts on our understanding and management of the world, in part because it has been able to incorporate new data and new insights successfully. Nonetheless, there is currently a tension between certain biological phenomena and mainstream evolutionary theory. For example, how does the inheritance of molecular epigenetic changes fit into mainstream evolutionary theory? Is niche construction an evolutionary process? Is local adaptation via habitat choice also adaptive evolution? These examples suggest there is scope (and perhaps even a need) to broaden our views on evolution. We identify three aspects whose incorporation into a single framework would enable a more generalised approach to the understanding and study of adaptive evolution: (i) a broadened view of extended phenotypes; (ii) that traits can respond to each other; and (iii) that inheritance can be non-genetic. We use causal modelling to integrate these three aspects with established views on the variables and mechanisms that drive and allow for adaptive evolution. Our causal model identifies natural selection and non-genetic inheritance of adaptive parental responses as two complementary yet distinct and independent drivers of adaptive evolution. Both drivers are compatible with the Price equation; specifically, non-genetic inheritance of parental responses is captured by an often-neglected component of the Price equation. Our causal model is general and simplified, but can be adjusted flexibly in terms of variables and causal connections, depending on the research question and/or biological system. By revisiting the three examples given above, we show how to use it as a heuristic tool to clarify conceptual issues and to help design empirical research. In contrast to a gene-centric view defining evolution only in terms of genetic change, our generalised approach allows us to see evolution as a change in the whole causal structure, consisting not just of genetic but also of phenotypic and environmental variables.

One step fabrication of aligned carbon nanotubes using gas rectifier.

We report the one-step fabrication of aligned and high-quality carbon nanotubes (CNTs) using floating-catalyst chemical vapor deposition (FCCVD) with controlled fluidic properties assisted by a gas rectifier. The gas rectifier consists of one-dimensional straight channels for regulating the Reynolds number of the reaction gas. Our computational fluid dynamics simulation reveals that the narrow channels of the gas rectifier provide steady and accelerated laminar flow of the reaction gas. In addition, strong shear stress is induced near the side wall of the channels, resulting in the spontaneous formation of macroscopic CNT bundles aligned along the direction of the gas flow. After a wet-process using chlorosulfonic acid, the inter-tube voids inherently observed in as-grown CNT bundles are reduced from 16 to 0.3%. The resulting CNT fiber exhibits a tensile strength of 2.1 ± 0.1 N tex-1 with a Young's modulus of 39 ± 4 N tex-1 and an elongation of 6.3 ± 0.6%. FCCVD coupled with the strong shear stress of the reaction gas is an important pre-processing route for the fabrication of high-performance CNT fibers.

Development of incident severity classification for laboratory animals.

An incident reporting system (IRS) prevents possible adverse events by collecting and analyzing incidents that occur. However, few studies are available regarding IRSs in the laboratory animal field. This study aimed to develop an incident severity classification for laboratory animals (ISCLA) to evaluate the usefulness of the IRS in laboratory animal facilities. Twenty-three incidents reported from March 2019 to February 2020 on our IRS were retrospectively reviewed. Three of the 23 incidents failed to obtain some experimental data. Two of these incidents were harmless to animals, but the other caused the animals moderate distress. In addition, two of the three incidents made animals unsuitable for experiments. Since the inconsistent impact of incidents on animals and experiments prevented the comparison of the severity of individual incidents, we developed the ISCLA. According to the ISCLA, the above three incidents were classified into Category 3b and 4a. The others were classified into Category 0 (n=5), 1 (n=6), 2 (n=3), and 3a (n=6) in ascending order of severity. No incident was classified into Category 4b and 5. Furthermore, incidents occurring in the animal housing area were more severe than those occurring in the supporting area (P=0.002). This study showed that incident occurrences had characteristics that were not visible from individual incidents alone. Moreover, the ISCLA was considered useful when conducting the IRS and taking improvement measures in laboratory animal facilities.

Normal variation of the gut microbiota affects hepatic cytochrome P450 activity in mice.

Several studies revealed that substantial artificial changes in the gut microbiota resulted in modification of hepatic cytochrome P450 3a (Cyp3a) in mice. Consequently, we hypothesized that "normal" variation of the gut microbiota might also alter hepatic Cyp activity and lead to individual differences in drug metabolism. Therefore, this study investigated the effects of normal gut microbiota variation on hepatic Cyp activity under the same genetic and environmental conditions using ex-germ-free mice. Using the feces of three breeder BALB/c mice (Jcl, Slc, and Crj), germ-free BALB/cYit mice were conventionalized (Yit-Jcl, Yit-Slc, and Yit-Crj). The gut microbiota composition and hepatic Cyp activity of these donors and recipients were evaluated. 16S rRNA sequencing revealed clear differences of the gut microbiota among donors and among recipients. Cyp3a activity was significantly higher in Slc mice than in Jcl and Crj mice. Notably, among recipients, Cyp3a activity was significantly higher in Yit-Slc and Yit-Crj mice than in Yit-Jcl mice. Cyp2b activity was significantly higher in Slc mice than in Jcl and Crj mice. Cyp2b activity was significantly higher in Yit-Slc mice than in Yit-Jcl mice. Additionally, in correlation analysis, some genera displayed significant positive or negative correlations with Cyp activity, particular the strong positive correlation between Clostridium sensu stricto 1 with Cyp3a activity. In conclusion, this study demonstrated that normal variation of the gut microbiota affected hepatic Cyp3a and Cyp2b activity, which might result in individual differences of drug metabolism.

Effects of gut microbiota on in vivo metabolism and tissue accumulation of cytochrome P450 3A metabolized drug: Midazolam.

The link between drug-metabolizing enzymes and gut microbiota is well established. In particular, hepatic cytochrome P450 (CYP) 3A activities are presumed to be affected by gut microbiota. However, there is no direct evidence that the gut microbiota affects CYP3A metabolism or the clearance of clinically relevant drugs in vivo. Our purpose was to evaluate the effects of gut microbiota on in vitro and in vivo drug metabolism and on the clearance of midazolam, which is a standard CYP3A metabolized drug. Hepatic Cyp3a activity and in vitro midazolam hydroxylase activity were compared using specific pathogen-free (SPF) and germ-free (GF) mice. In a pharmacokinetics (PK) study, SPF and GF mice were intraperitoneally injected with 60 mg/kg of midazolam, and plasma and tissue concentrations were measured. Hepatic Cyp3a activity and midazolam hydroxylase activity were significantly lower in GF mice than in SPF mice. Notably, in the PK study, the area under the plasma concentration-time curve from time zero to infinity and the elimination half-life were approximately four-fold higher in GF mice compared with SPF mice. Furthermore, the concentration of midazolam in the brain 180 min after administration was about 14-fold higher in GF mice compared with SPF mice. Together, our results demonstrated that the gut microbiota altered the metabolic ability of Cyp3a and the tissue accumulation of midazolam.

The Price equation and the causal analysis of evolutionary change.

Though the Price equation in itself is simply a statistical identity, biologists have often adopted a 'causal interpretation' of the equation, in the sense that its component terms have been supposed to correspond to distinct causal processes in evolution, such as natural selection and transmission bias. In this paper, we bring the issue of causal interpretation to the fore, by studying the conditions under which it is legitimate to read causal meaning into the Price equation. We argue that only if substantive assumptions about causal structure are made, which can be represented in the form of a causal model, can the component terms of the Price equation be interpreted as causally meaningful. We conclude with a reflection on the epistemic uses of the Price equation, emphasizing the difference between the description, explanation and prediction of evolutionary change. This article is part of the theme issue 'Fifty years of the Price equation'.

Multi-level computational methods for interdisciplinary research in the HathiTrust Digital Library.

We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hypothesis formulation, and argument extraction for interdisciplinary research. Our test domain is the history and philosophy of scientific work on animal mind and cognition. The methods can be generalized to other research areas and ultimately support a system for semi-automatic identification of argument structures. We provide a case study for the application of the methods to the problem of identifying and extracting arguments about anthropomorphism during a critical period in the development of comparative psychology. We show how a combination of classification systems and mixed-membership models trained over large digital libraries can inform resource discovery in this domain. Through a novel approach of "drill-down" topic modeling-simultaneously reducing both the size of the corpus and the unit of analysis-we are able to reduce a large collection of fulltext volumes to a much smaller set of pages within six focal volumes containing arguments of interest to historians and philosophers of comparative psychology. The volumes identified in this way did not appear among the first ten results of the keyword search in the HathiTrust digital library and the pages bear the kind of "close reading" needed to generate original interpretations that is the heart of scholarly work in the humanities. Zooming back out, we provide a way to place the books onto a map of science originally constructed from very different data and for different purposes. The multilevel approach advances understanding of the intellectual and societal contexts in which writings are interpreted.

Optimal equilibration conditions for practical vitrification of two-cell mouse embryos.

The objective of the study reported here was to elucidate the optimal equilibration conditions for carrying out vitrification of two-cell mouse embryos, using a solution containing 2M dimethyl sulfoxide, 1M acetamide, and 3M propylene glycol (DAP213) as a cryoprotectant. Embryos were subjected to an equilibration process under 20 conditions of a combination of different temperatures (10 to 37 degrees C) and times (5 to 90 sec), and viability of the embryos was assessed by the rate of development into blastocysts and into live fetuses. As a result, these rates of development into blastocysts did not differ from those for unfrozen embryos. The rate of development of frozen-thawed embryos into live fetuses under conditions of 30 sec. at 20 degrees C, which was selected as having by highest operability, was 55.2%, comparable to the value (65.0%) for unfrozen embryos. Thus, the optimal equilibration condition for vitrification of two-cell mouse embryos, using DAP213 solution, was 30 sec at 20 degrees C, under which embryo viability was maximized, and this equilibration process was considered useful as a practical two-cell embryo freezing process in the vitrification method.