Hydrophilic bile acids: Prevention and dissolution experiments in two animal models of cholesterol cholelithiasis

Lipids ◽  
1995 ◽  
Vol 30 (9) ◽  
pp. 855-861 ◽  
Author(s):  
Bertram I. Cohen ◽  
Takahiro Mikami ◽  
Nariman Ayyad ◽  
Akira Ohshima ◽  
R. Infante ◽  
...  
1991 ◽  
Vol 101 (4) ◽  
pp. 1109-1116 ◽  
Author(s):  
Bertram I. Cohen ◽  
Erwin H. Mosbach ◽  
Nariman Ayyad ◽  
Michiko Yoshii ◽  
Charles K. McSherry

1978 ◽  
Vol 13 (3) ◽  
pp. 206-212 ◽  
Author(s):  
Tomio Narisawa ◽  
Bandaru S. Reddy ◽  
John H. Weisburger

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Caroline Chong Nguyen ◽  
Denis Duboc ◽  
Dominique Rainteau ◽  
Harry Sokol ◽  
Lydie Humbert ◽  
...  

AbstractSynthetized by the liver and metabolized by the gut microbiota, BA are involved in metabolic liver diseases that are associated with cardiovascular disorders. Animal models of atheroma documented a powerful anti-atherosclerotic effect of bile acids (BA). This prospective study examined whether variations in circulating BA are predictive of coronary artery disease (CAD) in human. Consecutive patients undergoing coronary angiography were enrolled. Circulating and fecal BA were measured by high pressure liquid chromatography and tandem mass spectrometry. Of 406 screened patients, 80 were prospectively included and divided in two groups with (n = 45) and without (n = 35) CAD. The mean serum concentration of total BA was twice lower in patients with, versus without CAD (P = 0.005). Adjusted for gender and age, this decrease was an independent predictor of CAD. In a subgroup of 17 patients, statin therapy doubled the serum BA concentration. Decreased serum concentrations of BA were predictors of CAD in humans. A subgroup analysis showed a possible correction by statins. With respect to the anti-atherosclerotic effect of BA in animal models, and their role in human lipid metabolism, this study describe a new metabolic disturbance associated to CAD in human.


1975 ◽  
Vol 69 (2) ◽  
pp. 318-325 ◽  
Author(s):  
Gershon W. Hepner ◽  
Steven H. Quarfordt

2019 ◽  
Vol 42 ◽  
Author(s):  
Nicole M. Baran

AbstractReductionist thinking in neuroscience is manifest in the widespread use of animal models of neuropsychiatric disorders. Broader investigations of diverse behaviors in non-model organisms and longer-term study of the mechanisms of plasticity will yield fundamental insights into the neurobiological, developmental, genetic, and environmental factors contributing to the “massively multifactorial system networks” which go awry in mental disorders.


2015 ◽  
Vol 223 (3) ◽  
pp. 157-164 ◽  
Author(s):  
Georg Juckel

Abstract. Inflammational-immunological processes within the pathophysiology of schizophrenia seem to play an important role. Early signals of neurobiological changes in the embryonal phase of brain in later patients with schizophrenia might lead to activation of the immunological system, for example, of cytokines and microglial cells. Microglia then induces – via the neurotoxic activities of these cells as an overreaction – a rarification of synaptic connections in frontal and temporal brain regions, that is, reduction of the neuropil. Promising inflammational animal models for schizophrenia with high validity can be used today to mimic behavioral as well as neurobiological findings in patients, for example, the well-known neurochemical alterations of dopaminergic, glutamatergic, serotonergic, and other neurotransmitter systems. Also the microglial activation can be modeled well within one of this models, that is, the inflammational PolyI:C animal model of schizophrenia, showing a time peak in late adolescence/early adulthood. The exact mechanism, by which activated microglia cells then triggers further neurodegeneration, must now be investigated in broader detail. Thus, these animal models can be used to understand the pathophysiology of schizophrenia better especially concerning the interaction of immune activation, inflammation, and neurodegeneration. This could also lead to the development of anti-inflammational treatment options and of preventive interventions.


2020 ◽  
Vol 134 (3) ◽  
pp. 248-266
Author(s):  
Javed Iqbal ◽  
Frank Adu-Nti ◽  
Xuejiao Wang ◽  
Hui Qiao ◽  
Xin-Ming Ma
Keyword(s):  

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