Clinicopathological Correlation and Prevalence of Increased Copper in Canine Hepatic Cytology

2019 ◽  
Vol 55 (1) ◽  
pp. 8-13
Author(s):  
A. Russell Moore ◽  
Eryn Medrano ◽  
Emily Coffey ◽  
Barbara Powers
Keyword(s):  
Clinical Data ◽  
Copper Content ◽  
Clinical Findings ◽  
Alanine Transaminase ◽  
Aspartate Transaminase ◽  
Clinicopathological Correlation ◽  
Hepatic Copper ◽  
Hematoxylin And Eosin ◽  
Modest Correlation

ABSTRACT Special staining and grading of canine liver cytology samples aids in detection of increased copper content. The prevalence of copper in routine diagnostic liver cytology samples, clinical findings associated with high cytologic copper (cCu) grade, and the correlation between cCu grade and histologic findings, including histologic copper (hCu) grade, are unknown. This data may be helpful in ascertaining when to determine a cCu grade and when interpreting cCu grade. Clinical data and available archived hepatic histologic and cytologic samples from 198 dogs were collected, evaluated, rhodanine stained, and graded for copper. Prevalence of increased cCu >5 in a randomly collected group of 163 individuals, and the correlation between cCu and clinical data (n = 198), hCu grade (n = 37), or findings on hematoxylin and eosin–stained hepatic sections (n = 32) were evaluated. The observed prevalence was 1.23%. Dogs with elevated alanine transaminase >180 IU/L or aspartate transaminase >90 IU/L and patients who subsequently had hepatic copper quantification were statistically more likely to have pathologic levels of copper detected by cytology. There was significant and modest correlation between cCu and hCu, interface hepatitis, portal inflammation, and fibrosis. Evidence of hepatocellular leakage may be indications for determination of cCu.

scholarly journals Brewers’ Rice: A By-Product from Rice Processing Provides Natural Hepatorenal Protection in Azoxymethane-Induced Oxidative Stress in Rats

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Bee Ling Tan ◽  
Mohd Esa Norhaizan ◽  
Ithnin Hairuszah ◽  
Hamzah Hazilawati ◽  
Karim Roselina
Keyword(s):  
Oxidative Stress ◽  
Alkaline Phosphatase ◽  
Serum Markers ◽  
Alanine Transaminase ◽  
Kidney Damage ◽  
Aspartate Transaminase ◽  
Liver And Kidney ◽  
Hematoxylin And Eosin ◽  
Hepatoprotective Effects ◽  
Liver And Kidney Damage

Brewers’ rice, which is known locally astemukut, is a mixture of broken rice, rice bran, and rice germ. Our present study was designed to identify the effect of brewers’ rice on the attenuation of liver and kidney damage induced by azoxymethane (AOM). Alanine transaminase (ALT), alkaline phosphatase (ALP), aspartate transaminase (AST), creatinine, and urea were evaluated to understand potential hepatoprotective effects and the ability of brewers’ rice to attenuate kidney pathology induced by AOM treatment. Liver and kidney tissues were evaluated by hematoxylin and eosin (H&E) staining. Overall analyses revealed that brewers’ rice improved the levels of serum markers in a manner associated with better histopathological outcomes, which indicated that brewers’ rice could enhance recovery from hepatocyte and kidney damage. Taken together, these results suggest that brewers’ rice could be used in future applications to combat liver and kidney disease.

Comparison of standardised lymphoscintigraphic function test and high resolution sonography of the lymphoedema of legs

Phlebologie ◽  
2008 ◽  
Vol 37 (05) ◽  
pp. 247-252 ◽  
Author(s):  
V. S. Brauer ◽  
W. J. Brauer
Keyword(s):  
Lower Leg ◽  
Clinical Findings ◽  
Lower Limbs ◽  
Fatty Tissue ◽  
Qualitative And Quantitative ◽  
Function Test ◽  
Unreliable Method ◽  
Negative Conclusion ◽  
Fine Disperse

SummaryPurpose: Comparison of qualitative and quantitative sonography with the lymphoscintigraphic function test and clinical findings in legs. Patients, methods: In 33 patients a lymphoscintigraphic function test of legs combined with measurement of lymph node uptake was performed and subsequently compared with sonography. Sonographic criteria were: Thickness of cutis, thickness of subcutanean fatty tissue and presence of liquid structures or fine disperse tissue structure of lower limbs, foots and toes. Results: In 51 legs uptake values lie in the pathologic area, in four legs in the grey area and in ten legs in the normal area. The cutis thickness in the lower leg shows no significant correlation with the uptake. The determination of the thickness of the subcutanean fatty tissue of the lower leg and of the cutis thickness of the feet turned out to be an unreliable method. In 47% of the medial lower legs and in 57% of the lateral lower legs with clinical lymphoedema sonography is falsely negative. Conclusion: Early lymphoedema is only detectable with the lymphoscintigraphic function test. In the case of clinical lymphoedema clinical examination is more reliable than sonography.

scholarly journals Systems biology informed neural networks (SBINN) predict response and novel combinations for PD-1 checkpoint blockade

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Michelle Przedborski ◽  
Munisha Smalley ◽  
Saravanan Thiyagarajan ◽  
Aaron Goldman ◽  
Mohammad Kohandel
Keyword(s):  
Neural Networks ◽  
Systems Biology ◽  
Clinical Data ◽  
Treatment Protocol ◽  
Response Prediction ◽  
Clinical Findings ◽  
Patient Specific ◽  
Patient Response ◽  
Triple Combination Therapy ◽  
Parameter Values

AbstractAnti-PD-1 immunotherapy has recently shown tremendous success for the treatment of several aggressive cancers. However, variability and unpredictability in treatment outcome have been observed, and are thought to be driven by patient-specific biology and interactions of the patient’s immune system with the tumor. Here we develop an integrative systems biology and machine learning approach, built around clinical data, to predict patient response to anti-PD-1 immunotherapy and to improve the response rate. Using this approach, we determine biomarkers of patient response and identify potential mechanisms of drug resistance. We develop systems biology informed neural networks (SBINN) to calculate patient-specific kinetic parameter values and to predict clinical outcome. We show how transfer learning can be leveraged with simulated clinical data to significantly improve the response prediction accuracy of the SBINN. Further, we identify novel drug combinations and optimize the treatment protocol for triple combination therapy consisting of IL-6 inhibition, recombinant IL-12, and anti-PD-1 immunotherapy in order to maximize patient response. We also find unexpected differences in protein expression levels between response phenotypes which complement recent clinical findings. Our approach has the potential to aid in the development of targeted experiments for patient drug screening as well as identify novel therapeutic targets.

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