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Anticonvulsant role of nigrotectal projection in the maximal electroshock model of epilepsy--II. Pathways from substantia nigra pars lateralis and adjacent peripeduncular area to the dorsal midbrain.

Lesion evidence suggests that the superior colliculus is essential for mediating the anticonvulsant properties of nigral suppression in the electroshock model of epilepsy. However, our companion paper [Redgrave et al. (1991) Neuroscience 46, 379-390] established that the region of dorsal midbrain where bicuculline was most effective in suppressing tonic hindlimb extension did not correspond well with the known distribution of nigrotectal terminals. The purpose of the present anatomical study was, therefore, to investigate in more detail ventral midbrain connections to the dorsal midbrain anticonvulsant zone in rat. Small injections (10-20 nl) of a 1% solution of wheatgerm agglutinin conjugated with horseradish peroxidase were made specifically into the region of dorsal midbrain where bicuculline was maximally effective. Numerous retrogradely labelled cells were found in substantia nigra pars lateralis and adjacent peripeduncular area but not in substantia nigra pars reticulata. Retrogradely labelled cells were also located in ventral zona incerta. When wheatgerm agglutinin-horseradish peroxidase injections were made into lateral substantia nigra, a region of anterogradely transported reaction product characteristic of nerve terminals was observed in the caudolateral deep layers and underlying reticular tissue; this area corresponded well to the dorsal midbrain anticonvulsant zone. These data suggest that, in the electroshock model of epilepsy, direct connections between substantia nigra pars lateralis and adjacent peripeduncular area and the dorsal midbrain anticonvulsant zone could be critical for mediating the anticonvulsant properties previously attributed to substantia nigra pars reticulata. During the course of this study, anterograde projections from substantia nigra pars lateralis and adjacent peripeduncular area to both superficial and intermediate layers of the ipsilateral superior colliculus were noted. Additional experiments using retrograde transport of the fluorescent tracer Fast Blue confirmed these projections.

Amidines

Verbal communications of community pharmacists.

Community pharmacists, by virtue of their location, are thought to be among the most accessible health care workers in the delivery system. To estimate the importance of this assertion it is necessary to understand the communication habits of pharmacists, especially their interactions with patients. Since verbal communication is the most frequent form of patient interaction, this study attempts to specify the type and amount of all pharmacist communication with emphasis on the pharmacist-patient process. Using a modified work sampling technique, communication data were collected on community pharmacists practicing in chain pharmacies. Data are presented in the context of a causal model. The strongest pathway in the model is found to be the inverse relationship of prescription department staffing to the percentage of time pharmacists devote to communication with patients. Prescription volume is seen to have a moderately positive effect on the level of communication. However, further analysis reveals staffing to be the limiting factor. The findings suggest that changes in the environment of the community pharmacists studied would do much to increase pharmacist-patient contact. An educational effort also is indicated to assure that patients receive quality communication.

Administrative Personnel

[Dynamics of orotic acid metabolism in chick tissues].

The processes of pyrimidine nucleotides metabolism were analyzed in cells of chicken small intestine mucosa using the kinetic series-parallel model of the first order equations. The rate constants are calculated for absorption of [2-14C]orotic acid by mucosa cells, its accumulation in blood anc conversion to uridine nucleotides. Stages of uridine nucleotides conversion to cytidine ones and their incorporation into RNA are not described by the system of the first order equations based on the series-parallel model with the single-channel utilization of orotic acid through the pyrimidine pathway. The model into two pathways of free nucleotides metabolism and two individual flows of precursors into RNA corresponds qualitatively to the obtained experimental data. Metabolism of orotic acid along two separate channels might be typical of the chicken liver.

Animals

A detailed model of the primary visual pathway in the cat: comparison of afferent excitatory and intracortical inhibitory connection schemes for orientation selectivity.

In order to arrive at a quantitative understanding of the dynamics of cortical neuronal networks, we simulated a detailed model of the primary visual pathway of the adult cat. This computer model comprises a 5 degrees x 5 degrees patch of the visual field at a retinal eccentricity of 4.5 degrees and includes 2048 ON- and OFF-center retinal beta-ganglion cells, 8192 geniculate X-cells, and 4096 simple cells in layer IV in area 17. The neurons are implemented as improved integrate-and-fire units. Cortical receptive fields are determined by the pattern of afferent convergence and by inhibitory intracortical connections. Orientation columns are implemented continuously with a realistic receptive field scatter and jitter in the preferred orientations. We first show that realistic ON-OFF-responses, orientation selectivity, velocity low-pass behaviour, null response, and responses to spot stimuli can be obtained with an appropriate alignment of geniculate neurons converging onto the cortical simple cell (Hubel and Wiesel, 1962) and in the absence of intracortical connections. However, the average receptive field elongation (length to width) required to obtain realistic orientation tuning is 4.0, much higher than the average observed elongation. This strongly argues for additional intracortical mechanisms sharpening orientation selectivity. In the second stage, we simulated five different inhibitory intracortical connection patterns (random, local, sparse-local, circular, and cross-orientation) in order to investigate the connection specificity necessary to achieve orientation tuning. Inhibitory connection schemes were superimposed onto Hubel and Wiesel-type receptive fields with an elongation of 1.78. Cross-orientation inhibition gave rise to different horizontal and vertical orientation tuning curves, something not observed experimentally. A combination of two inhibitory schemes, local and circular inhibition (a weak form of cross-orientation inhibition), is in good agreement with observed receptive field properties. The specificity required to establish these connections during development is low. We propose that orientation selectivity is caused by at least three different mechanisms ("eclectic" model): a weak afferent geniculate bias, broadly tuned cross-orientation inhibition, and some iso-orientation inhibition. The most surprising finding is that an isotropic connection scheme, circular inhibition, in which a cell inhibits all of its postsynaptic target cells at a distance of approximately 500 microns, enhances orientation tuning and leads to a significant directional bias. This is caused by the embedding of cortical cells within a columnar structure and does not depend on our specific assumptions.(ABSTRACT TRUNCATED AT 400 WORDS)

Animals

Heme biosynthesis pathway regulation in a model of hepatocarcinogenesis pre-initiation.

1. Heme regulation before the appearance of hyperplastic nodules was investigated in mice models of hepatocarcinogenesis. 2. With this aim 5-aminolaevulinate synthetase (ALA-S), microsomal heme-oxygenase (MHO), mitochondrial and cytoplasmic rhodanese activities were examined throughout a period of 35 days in animals exposed to dietary p-dimethylaminoazobenzene (DAB). 3. ALA-S activity was significantly diminished (50%) on day 14, then showing a sharply rising profile from day 28 onwards, and reaching 350% on day 35. 4. A similar profile was observed for mitochondrial rhodanese activity. 5. Changes in MHO and cytoplasmic rhodanese activities were almost the opposite to those observed for ALA-S. 6. The distinctive alteration in mitochondrial and cytoplasmic rhodanese would suggest that it plays a subtle role in ALA-S regulation during carcinogenesis initiation through a mechanism that appears to involve subcellular localization controls perhaps by means of the breakage of cystine trisulphide postulated to act as an ALA-S activator. 7. Taking into account the present results, we suggest a probable mechanism for the onset of hepatocarcinogenesis that includes a primary activating liver status, provoking biochemical aberration leading to the stage of initiation of hepatocarcinogenesis involving the whole organ.

5-Aminolevulinate Synthetase

Analysis of a kinetic model for melanin biosynthesis pathway.

The kinetic behavior of the melanin biosynthesis pathway from L-tyrosine up to dopachrome has been studied from experimental and simulation assays. The reaction mechanism proposed is based on a single active site of tyrosinase. The diphenolase and monophenolase activities of tyrosinase involve one single (oxidase) and two overlapped (hydroxylase and oxidase) catalytic cycles, respectively. The stoichiometry of the pathway implies that one molecule of tyrosinase must accomplish two turnovers in the hydroxylase cycle for each one in the oxidase cycle. Furthermore, the steady-state rates of dopachrome production and O2 consumption from tyrosine and L-dopa, also fulfill the stoichiometry of the pathway: VO2T/VDCT = 1.5 and VO2T/VDCD = 1.0, where T represents L-tyrosine, DC represents dopachrome, and D represents L-dopa. It has been ascertained by high performance liquid chromatography that in the steady-state, a quantity of dopa is accumulated ([D]ss) which fulfills the constant ratio [D]ss = R[T]0. Taking this ratio into account, an analytical expression has been deduced for the monophenolase activity of tyrosinase. In this expression kcatT congruent to (2/3)k3(K1/K2)R, revealing that kcatT is not a true catalytic constant, since it also depends on equilibrium constants and on the experimental R = 0.057. This low value explains the lower catalytic efficiency of tyrosinase on tyrosine than on dopa, (VmaxT/KmT)/(VmaxD/KmD) congruent to (2/3)R, since a significant portion of tyrosinase is scavenged from the catalytic turnover as dead-end complex EmetT in the steady-state of the monophenolase activity of tyrosinase.

Basidiomycota

Structure and mechanism of D-xylose isomerase.

The action of xylose isomerase depends on the presence of two divalent cations. Crystal structure analyses of the free enzyme, and of the enzyme bound to a variety of substrates and inhibitors, have provided models for a number of distinct intermediates along the reaction pathway. These models, in turn, have suggested detailed mechanisms for the various chemical steps of the reaction: a ring opening catalysed by an activated histidine, a hydride-shift isomerization, and a ring closure which may be facilitated by a polarised water molecule.

Aldose-Ketose Isomerases

The folding of an enzyme. VI. The folding pathway of barnase: comparison with theoretical models.

The sequence of events in the refolding pathway of barnase has been analysed to search for general principles in protein folding. There appears to be a correlation between burying hydrophobic surface area and early folding events. All the regions that fold early interact extensively with the beta-sheet. These interactions involve predominantly hydrophobic interactions and the burial of very extensive hydrophobic areas in which multiple, close, hydrophobic-hydrophobic contacts are established around a central group of aliphatic residues. There is no burial of hydrophilic residues in these regions; those that are partly screened from the solvent make hydrogen bonds. All the regions or interactions that are made late in the folding pathway do not make extensive contacts with the beta-sheet. Their buried hydrophobic regions lack a central hydrophobic residue or residues around which other hydrophobic residues pack. Further, in some of these regions there is an extensive burial of hydrophilic residues. The results are consistent with one of the earlier events in protein folding being the local formation of native-like secondary structure elements driven by local hydrophobic surface burial. A possible candidate for an initiation site is a beta-hairpin between beta-strands 3 and 4 that is conserved in the microbial ribonuclease family. A comparison of structures in this family shows that those regions that can be superimposed, or have sequence homology, correspond to elements of structure that are formed and interact with each other early in the folding pathway, suggesting that some of these residues could be involved in directing the folding process. The data on barnase combined with results from other laboratories suggest the following tentative conclusions for the refolding of small monomeric proteins. (1) The refolding pathway is, at least in part, sequential and of compulsory order. (2) Secondary structure formation is driven by local hydrophobic surface burial and precedes the formation of most tertiary interactions. These elements are then stabilized and sometimes elongated by tertiary interactions. It is plausible that there are stop signals encoded in the linear sequence that prevent the elongation of isolated secondary structure elements in solution to a larger extent than is found in the folded protein. (3) Many tertiary interactions are not very constrained in the intermediate but become more and more defined as the hydrophobic cores consolidate, loop structures form and the configuration of surface residues takes place. The interactions between different elements of secondary structure are the last ones to be consolidated while the interactions within the secondary structure elements are consolidated earlier.(ABSTRACT TRUNCATED AT 400 WORDS)

Amino Acid Sequence

Spatial propagation of associations in a cortex-like neural network model.

A neural network model is studied, having associative memory properties and allowing retrieved associations to propagate within the network. It is intended as a tentative description of the cerebral cortex consisting of "pyramidal cells" with modifiable synapses and "stellate cells" providing feedback through excitatory and inhibitory recurrent pathways. The model is based on some general assumptions: Learning occurs through facilitation of synapses which depends on simultaneous pre- and postsynaptic activity (two-conditional facilitation). Connections within the network are realizations of a random process, implying that nearby cells are more likely to be connected than distant one. The two-conditional facilitation makes it possible for an output signal pattern which occurred in conjunction with a certain input pattern to be retrieved later by reapplying the particular input, the model working as an associative memory. The random connections and the operation of the stellate cell models as linear threshold units give rise to pattern separation in the feedback link. This, in addition to the fact that patterns form associations with themselves, is of importance during the associative recall enabling the network to attain alternative stable modes of activity each corresponding to a learned association. It is shown that a learned pattern of activity which is retrieved, ie, a stable mode, can propagate across the surface of the network. The mode of activity evoked through a certain association may get into contact with modes originating from different associations, forming a stable or slowly moving boundary between the interacting modes. The model is discussed in relation to some properties of the visual system.

Association

The reactions of pindolol, mepindolol, carazolol, and related model compounds with triethyl orthoformate: pathways and products of a new colour reaction.

The acid-catalysed electrophilic tandem substitutions of pindolol, mepindolol, and carazolol and some related model compounds with triethyl ortho formate give rise to new derivatives from the trishetaryl methane series. In some cases also further functionalized heterocycles were isolated. The structural aspects of the new trishetarylmethanes were discussed as C3-symmetric molecular propellers, respectively. The importance of the described reaction as colour reaction was mentioned.

Adrenergic beta-Antagonists

Molecular Pathways, Target Landscape, and Translational Models in Heart Failure with Preserved Ejection Fraction.

Heart failure with preserved ejection fraction (HFpEF) is a substantial global health burden and the greatest unmet medical need for cardiovascular diseases. It is marked by pronounced clinical heterogeneity and complex multi-system pathophysiology with limited therapeutic options. Progress in developing effective therapeutics is constrained by the inadequacy of experimental models to fully recapitulate the multifactorial nature of the disease. Recent evidence underscores the significant involvement of inflammatory, oxidative, and mitochondrial pathways in the pathogenesis of HFpEF, with non-coding RNAs and epigenetic regulation serving as crucial modulators and prospective therapeutic targets. This review maps the HFpEF target landscape, while critically assessing the mechanistic contributions, translational fidelity, and limitations of existing in vivo and in vitro models. Further, advances are noted among the in vitro technologies, including human cardiac organoids and engineered heart tissues integrated with high-throughput multi-omics and computational modeling, enabling in-depth examination of HFpEF mechanisms. Finally, we underscore the necessity of integrative, systems-level approaches and multi-marker strategies to enhance translational relevance, improve risk stratification, and accelerate development of mechanism-based therapies. Collectively, this review supports phenotypic-guided and mechanism-informed therapeutic development for HFpEF, and provides a roadmap for next generation model development and therapeutic innovation.

Humans

A comparative investigation of hepatic clearance models: predictions of metabolite formation and elimination.

Liver clearance models serve to improve our understanding of the relationships between the physiological determinants and hepatic clearance and predict changes in the disposition of substrates when homeostasis of the organ is perturbed. Their ability to describe metabolism was presently extended to the sequential formation and elimination of primary (M1), secondary (M2), and tertiary (M3) metabolites during a single passage of drug (P) across the liver, under steady state and first-order conditions. The well-stirred model is distinct from other models in that metabolite formation and elimination is independent of enzymic distributions, the number of steps involved in metabolite formation, and the intrinsic clearances of the precursors. This model predicts that the extraction ratio of a formed primary metabolite derived from drug (E[M1, P]) is identical to that for the preformed primary metabolite (E[M1]), and that the extraction ratios of a secondary metabolite derived from drug (E[M2, P]) and primary metabolite (E[M2, M1]) or preformed secondary metabolite (E[M2]) are identical. For the more physiologically acceptable, parallel-tube and dispersion models, metabolite sequential elimination is highly influenced by the intrinsic clearances of the precursors and the enzymic distributions that mediate removal of precursor species and the metabolites. Furthermore, the extent of sequential metabolism recedes as the number of steps involved for metabolite formation increases. These models predict that E[M1, P] less than E[M1], and E[M2, P] less than E[M2, M1] less than E[M2], with the magnitude of the changes being less for the dispersion model than for the parallel-tube model. Competing pathways that divert substrate from entering the sequential pathway were found to exert only minimal influence on the sequential pathway.

Liver

Modeling meningioma in vitro in the omics era.

Meningioma biology has been substantially clarified by recent omics-based studies, which have identified recurrent mutations, copy-number alterations, and distinct molecular subgroups. However, although these approaches have provided a valuable framework, they are inherently limited in their ability to establish direct causal relationships. The mechanistic studies are therefore indispensable for translating these molecular observations into biological understanding. Nevertheless, the mechanistic literature has often evolved in a fragmented manner, with individual pathways and model systems studied in relative isolation from the broader multi-omic landscape. In this review, we synthesize these complementary bodies of work into an integrated framework and outline a clear roadmap for future studies. We first review the historical development of established meningioma cell lines, their current molecular characterization, and the recent emergence of 3D models and organoids. Intrinsic challenges in modeling meningioma in vitro are discussed, including the difficulty of establishing immortalized cell lines from predominantly benign tumors, genetic alterations introduced during immortalization, and drift under culture conditions that differ substantially from those of the parental tumors. Next, insights from functional studies centered on these models are integrated within the molecular framework established by large-scale omics analyses. To avoid fragmentation and overemphasis on isolated findings, prior studies are organized into six categories based on major signaling pathways: Hippo, PI3K/Akt/mTOR, MAPK, Wnt/β-catenin, FOXM1, and Notch. Finally, lessons from other cancer models, including experimental approaches to chromosome-scale genomic disturbances, are considered to provide a more integrated view of meningioma biology and to highlight directions for future research.

Meningioma

A probabilistic generative model for quantification of DNA modifications enables analysis of demethylation pathways.

We present a generative model, Lux, to quantify DNA methylation modifications from any combination of bisulfite sequencing approaches, including reduced, oxidative, TET-assisted, chemical-modification assisted, and methylase-assisted bisulfite sequencing data. Lux models all cytosine modifications (C, 5mC, 5hmC, 5fC, and 5caC) simultaneously together with experimental parameters, including bisulfite conversion and oxidation efficiencies, as well as various chemical labeling and protection steps. We show that Lux improves the quantification and comparison of cytosine modification levels and that Lux can process any oxidized methylcytosine sequencing data sets to quantify all cytosine modifications. Analysis of targeted data from Tet2-knockdown embryonic stem cells and T cells during development demonstrates DNA modification quantification at unprecedented detail, quantifies active demethylation pathways and reveals 5hmC localization in putative regulatory regions.

5-Methylcytosine

Can cycle power predict sprint running performance?

A major criticism of present models of the energetics and mechanics of sprint running concerns the application of estimates of parameters which seem to be adapted from measurements of running during actual competitions. This study presents a model which does not perpetuate this solecism. Using data obtained during supra-maximal cycle ergometer tests of highly trained athletes, the kinetics of the anaerobic and aerobic pathways were modelled. Internal power wasted in the acceleration and deceleration of body limbs and the power necessary to overcome air friction was calculated from data in the literature. Assuming a mechanical efficiency as found during submaximal cycling, a power equation was constructed which also included the power necessary to accelerate the body at the start of movement. The differential equation thus obtained was solved through simulation. The model appeared to predict realistic times at 100 m (10.47 s), 200 m (19.63 s) and 400 m (42.99 s) distances. By comparison with other methods it is argued that power equations of locomotion should include the concept of mechanical efficiency.

Aerobiosis

Enterocutaneous Fistula-Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model.

BACKGROUND: Predicting enterocutaneous fistula (ECF)-associated sepsis and mortality poses significant challenges in digital health care due to the disease's complexity and heterogeneous clinical manifestations. Current approaches that rely on single-modal data or traditional scoring systems often fail to capture the intricate immune-inflammatory dynamics and multisystem involvement in patients with ECF. OBJECTIVE: This study aims to develop an artificial intelligence (AI)-driven multimodal fusion model integrating clinical, imaging, and transcriptomic data for early prediction of ECF-associated sepsis and 28-day mortality, addressing the limitations of conventional single-dimensional models. METHODS: This study leveraged publicly available datasets (Medical Information Mart for Intensive Care III [MIMIC-III], electronic Intensive Care Unit [eICU], and The Cancer Genome Atlas) to construct a multimodal framework. Clinical parameters were processed using Extreme Gradient Boosting, abdominal imaging features were extracted via convolutional neural networks, and transcriptomic profiles were analyzed with variational autoencoders. A Transformer-based fusion network was employed for joint prediction and validated through cross-validation and external testing. Key features were identified using Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretability algorithms, while immune regulatory mechanisms were explored via weighted gene co-expression network analysis. RESULTS: The multimodal model achieved an area under the curve (AUC) of 0.89 for predicting sepsis and 28-day mortality, outperforming unimodal models (clinical-only model, AUC 0.72, and imaging-only model, AUC 0.78). Critical predictors included Sequential Organ Failure Assessment score, lactate levels, intra-abdominal free fluid on imaging, and immunoregulatory genes (programmed death-ligand 1 [PD-L1] and indoleamine 2,3-dioxygenase 1 [IDO1]). Mechanistic analysis revealed distinct immune reprogramming in patients with sepsis, characterized by increased regulatory T cells and M2 macrophages, along with downregulated cluster of differentiation 8+ (CD8+) T cells. CONCLUSIONS: This multimodal AI model offers an innovative digital solution in medical informatics, enabling precise early risk stratification for ECF-associated sepsis. By integrating multisource data and providing interpretable insights into immune-inflammatory pathways, the model enhances health care quality for patients with ECF and paves the way for personalized intervention strategies.

Humans

The population genetics of alleles affecting enzyme activity.

It is possible to predict the population genetics of allozymes by assuming that fitness is proportional to flux through a biochemical pathway. The model presented here extends previous work by incorporating two additional features of biological realism. Firstly, that more than one biochemical route may exist between any two metabolites. The major routes have been identified as the classical biochemical pathways but in the event of a mutation blocking a major route, minor routes become significant. These minor routes are named "bypass fluxes" and have profound effects on the population genetics of allozymes. Secondly, recent work has suggested that a metabolic cost is associated with enzyme synthesis; this will constitute an additional selective pressure on alleles which affect the amount of enzyme synthesized. The model generates a fitness curve which predicts the fitness associated with any level of enzyme activity. It can utilize data on null or near-null, structural or regulatory, mutations in the presence or absence of bypass fluxes. When data from natural populations of Drosophila are investigated, it is concluded that selection pressures acting on enzyme variants may be much higher than previously thought.

Animals