Physiological variability in Verticillium fungicola isolates collected from different mushroom farm of Haryana state

2021 ◽  
Vol 30 (1) ◽  
pp. 87
Author(s):  
Jagdeep Singh ◽  
Man Mohan Mamta ◽  
Surjeet Sig ◽  
H. S. Saharan
Keyword(s):  
Verticillium Fungicola ◽  
Physiological Variability

Abstract WP281: Incorporating Biological Variability in Experimental Stroke to Better Mimic Human Stroke

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Thomas A Kent ◽  
Harriett C Rea ◽  
William Dalmeida ◽  
Roderic H Fabian ◽  
Cenk Ayata ◽  
...  
Keyword(s):  
Middle Surface ◽  
Lower Surface ◽  
Clinical Results ◽  
Experimental Stroke ◽  
Biological Variability ◽  
Occlusion Time ◽  
Physiological Variability ◽  
Functional Measure ◽  
Stroke Models ◽  
Human Stroke

Introduction: Failures to translate pre-clinical results have been discouraging. We have contended that stroke is too heterogeneous with respect to factors influencing outcome to expect small studies to be balanced. It is not only difficult to control for biological and methodological variability but efforts to improve homogeneity, such as minimizing physiological variability, may render results less applicable to humans. Here, we report a predictive outcome model in experimental stroke which incorporates baseline variability and provides statistical thresholds a treatment must exceed to be efficacious in a broad population. Methods: We generated a mathematical model to predict outcome using transient MCA occlusion in 23 unfasted rats. To create baseline variability, we varied occlusion times from 90-120 min, altered baseline glucose with streptozotocin, and assessed neurological outcome 3 days later with a modified Bederson Score (BS; 0-6 functional measure, 7 death). Statistical surfaces in 3 dimensions were generated using Jacobian matrices flanking the model to provide a screening threshold (1 SD) for comparing new therapies against this model. Results: We successfully generated an outcome model from occlusion time, glucose and BS (Fig; R 2 =.49, p=.0003; middle surface is the model surrounded by ±SD surfaces). Outcome was sensitive to change in glucose and time, suggesting small imbalances in these factors between groups may influence outcome, and hence the perceived efficacy of a new therapeutic intervention. At normoglycemia and 90 mins, the lower surface overlapped with no deficit, indicating it would be difficult to reliably demonstrate benefit under those conditions. Conclusions: These results indicate it is feasible to incorporate biological variability to generate more clinically relevant conditions. The method will be tested with other stroke models and modifiers towards a generalized model to screen for therapies worthy of further study.

scholarly journals MORPHOLOGICAL, PATHOGENIC, CULTURAL AND PHYSIOLOGICAL VARIABILITY OF THE ISOLATES OFALTERNARIASOLANICAUSING EARLY BLIGHT OF TOMATO.

2016 ◽  
Vol 4 (11) ◽  
pp. 808-817
Author(s):  
Najibullah Rahmatzai ◽  
◽  
AhmedA. Zaitoun ◽  
MohamedHussein Madkour ◽  
Abdullah Ahmady ◽  
...  
Keyword(s):  
Early Blight ◽  
Physiological Variability

scholarly journals Effect of the fungicide Prochloraz-Mn on the cell wall structure of Verticillium fungicola

2002 ◽  
Vol 5 (3) ◽  
pp. 121-125 ◽  
Author(s):  
D. Bernardo ◽  
M. Novaes-Ledieu ◽  
A. Perez Cabo ◽  
F. Gea Alegría ◽  
C. García Mendoza
Keyword(s):  
Cell Wall ◽  
Cell Wall Structure ◽  
Wall Structure ◽  
Verticillium Fungicola

Physiological variability in neonatal armadillo quadruplets: within- and between-litter differences

2000 ◽  
Vol 203 (11) ◽  
pp. 1733-1740 ◽  
Author(s):  
B. Bagatto ◽  
D.A. Crossley ◽  
W.W. Burggren
Keyword(s):  
Heart Rate ◽  
Oxygen Consumption ◽  
Ventilation Rate ◽  
Dasypus Novemcinctus ◽  
Genetic Components ◽  
Physiological Variability ◽  
In Captivity ◽  
Flow Through ◽  
Physiological Characters

The role of genetics on neonatal physiological variability was examined in the nine-banded armadillo (Dasypus novemcinctus). Since armadillos give birth to only monozygous quadruplets, the genetic variation within litters is essentially zero. Quadruplets born in captivity were isolated and weighed within 8 h of birth. Oxygen consumption (V.(O2)) was measured in resting neonates by flow-through respirometry, heart rate obtained from an electrocardiogram and ventilation was measured by impedance techniques. Following the measurements, neonates were returned to the mother. Measurements were repeated at 4 and 8 days after birth. Mean heart rate significantly increased from 132 beats min(−1) on the day of birth to 169 beats min(−1) on day 8. Mean ventilation rate significantly decreased from 81 breaths min(−1) on the day of birth to 54 breaths min(−1) on day 8. During this same developmental period, mean mass significantly increased from 100 g to 129 g, and mean mass-specific oxygen consumption significantly decreased from 32.2 ml O(2)kg(−1)min(−1) to 28.6 ml O(2)kg(−1) min(−1). For all variables measured, within-litter variability was always significantly less than between-litter variability, confirming a ‘sibling effect’ that we attribute to the genetic components determining physiological characters.

scholarly journals Methodological and physiological variability within the ventilatory response to hypoxia in humans

2000 ◽  
Vol 88 (5) ◽  
pp. 1924-1932 ◽  
Author(s):  
Shu Zhang ◽  
Peter A. Robbins
Keyword(s):  
Coefficient Of Variation ◽  
Ventilatory Response ◽  
Systematic Variation ◽  
Hypoxic Ventilatory Response ◽  
Mean Values ◽  
Careful Choice ◽  
Physiological Variability ◽  
Coefficients Of Variation ◽  
Ventilatory Response To Hypoxia ◽  
Over Time

Measurement of the acute hypoxic ventilatory response (AHVR) requires careful choice of the hypoxic stimulus. If the stimulus is too brief, the response may be incomplete; if the stimulus is too long, hypoxic ventilatory depression may ensue. The purpose of this study was to compare three different techniques for assessing AHVR, using different hypoxic stimuli, and also to examine the between-day variability in AHVR. Ten subjects were studied, each on six different occasions, which were ≥1 wk apart. On each occasion, AHVR was assessed using three different protocols: 1) protocol SW, which uses square waves of hypoxia; 2) protocol IS, which uses incremental steps of hypoxia; and 3) protocol RB, which simulates an isocapnic rebreathing test. Mean values for hypoxic sensitivity were 1.02 ± 0.48, 1.15 ± 0.55, and 0.93 ± 0.60 (SD) l ⋅ min− 1 ⋅ %− 1for protocols SW, IS, and RB, respectively. These differed significantly ( P < 0.01). The coefficients of variation for measurement of AHVR were 20, 23, and 36% for the three protocols, respectively. These were not significantly different. There was a significant physiological variation in AHVR ( F 50,100 = 3.9, P < 0.001), with a coefficient of variation of 26%. We conclude that there was relatively little systematic variation between the three protocols but that AHVR varies physiologically over time.

Biological Variability of Lipoproteins and Apolipoproteins in Patients Referred to a Lipid Clinic

1992 ◽  
Vol 38 (6) ◽  
pp. 864-872 ◽  
Author(s):  
S D Kafonek ◽  
C A Derby ◽  
P S Bachorik
Keyword(s):  
Total Cholesterol ◽  
Ldl Cholesterol ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Lipid Clinic ◽  
Physiological Variability ◽  
Coefficients Of Variation ◽  
Baseline Evaluation ◽  
Serial Samples

Abstract We determined the physiological variability of total cholesterol, high- (HDL) and low-density lipoprotein (LDL) cholesterol, triglycerides, and apolipoproteins A-I and B in fasting blood samples from patients referred to the Johns Hopkins Lipid Referral Clinic. Samples were taken on each of three occasions during baseline evaluation visits before the patients were treated. The median physiological coefficients of variation (CVp) were as follows: total cholesterol, 5.0%; triglycerides, 17.8%; HDL cholesterol, 7.1%; LDL cholesterol, calculated from the previous three measurements, 7.8%; and apolipoproteins A-I and B, 7.1% and 6.4%, respectively. There were no significant differences in CVp between children (less than or equal to 18 years) and adults (greater than 18 years) for any of the measurements. On the basis of our findings, single measurements in serial samples taken on three occasions suffice to establish the patients' usual values with the following precisions (+/- 1 CV): total cholesterol, +/- 4%; triglycerides, +/- 11%; HDL cholesterol, +/- 8%; LDL cholesterol, +/- 6%; and apolipoproteins A-I and B, +/- 7%.

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