An appraisal of the variable response of microalgal lipids to culture salinity

2021 ◽  
Author(s):  
José‐Pedro Cañavate ◽  
Catalina Fernández‐Díaz
Keyword(s):  
Variable Response ◽  
Microalgal Lipids

Response to DDAVP in children with von Willebrand disease type 2

2009 ◽  
Vol 29 (02) ◽  
pp. 143-148 ◽  
Author(s):  
U. Budde ◽  
K. Beutel ◽  
W.-A. Hassenpflug ◽  
H. Hauch ◽  
T. Obser ◽  
...  
Keyword(s):  
Disease Type ◽  
Von Willebrand Disease ◽  
Molecular Defect ◽  
Variable Response ◽  
Functional Parameters ◽  
Functional Defect ◽  
Biologic Response ◽  
High Level ◽  
Von Willebrand

SummaryWe have prospectively evaluated the biologic response to desmopressin (DDAVP) in 28 children with type 2 von Willebrand disease (VWD) in correlation with the phenotype and the molecular defect of VWF. The diagnosis of VWD type 2 was mainly based on VWF functional parameters and/or an aberrant VWF multimer pattern. Seventeen different mutations were identified (6 of them novel). No response with respect to the functional parameters VWF:RCo and/or VWF:CB was seen in patients with severe abnormality of the VWF multimer pattern. One patient with VWD type 2A phenotype IIC Miami did not respond with respect to VWF:CB, but showed a good response of VWF:Ag and FVIII:C as expected. Interestingly he showed a persistently high level of VWF:Ag and FVIII:C up to 4 hours after DDAVP infusion. Patients with minor alterations of multimer structure and particular mutations responded well to DDAVP, whereas patients with normal multimer structure but a defect in platelet dependent functional parameters did not respond with VWF:RCo. Conclusion: Children with VWD type 2 show a variable response to desmopressin depending on the mutation that correlates with the functional defect and the presence or absence as well as the half-life of large VWF multimers. Our data emphasize the usefulness of DDAVP testing even in patients with VWD type 2, possibly with the exception of VWD type 2B.

scholarly journals Use of a Consultation Service Following Pharmacogenomic Testing in Psychiatry

CNS Spectrums ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 179-180
Author(s):  
Daniel Dowd ◽  
David S. Krause
Keyword(s):  
Mental Illness ◽  
Drug Interactions ◽  
Metabolic Pathways ◽  
Patient Characteristics ◽  
Healthcare Resource Utilization ◽  
Machine Learning Algorithms ◽  
Mental Illnesses ◽  
Variable Response ◽  
Drug Induced ◽  
Commercial Laboratory

AbstractBackgroundThere is a plethora of drugs available to psychiatrists for treatment of mental illness, which can vary in efficacy, tolerability, metabolic pathways and drug-drug interactions. Psychotropics are the second most commonly listed therapeutic class mentioned in the FDA’s Table of Pharmacogenomic Biomarkers in Drug Labeling. Pharmacogenomic (PGx) assays are increasingly used in psychiatry to help select safe and appropriate medication for a variety of mental illnesses. Our commercial laboratory offers PGx expert consultations by PharmDs and PhDs to clinician-users. Our database contains valuable information regarding the treatment of a diverse and challenging population.MethodsGenomind offers a PGx assay currently measuring variants of 24 genes relevant for selection of drugs with a mental illness indication. Since 2012 we have analyzed > 250,000 DNA samples. Between 10/18 - 8/20 6,401 reports received a consult. The data contained herein are derived from those consults. Consultants record information on prior meds, reason for failure or intolerability, potential risk-associated or useful drugs based on the genetic variants. Consultants only recommend specific drugs and doses consistent with a published PGx guideline.ResultsThe 5 most commonly discussed genes were SLC6A4, MTHFR, CACNA1C, COMT and BDNF. The 3 most commonly discussed drugs were fluoxetine, lithium and duloxetine. The most common reasons for drug failure were inefficacy and drug induced “agitation, irritability and/or anxiety”. SSRIs were the most common class of discontinued drug; sertraline, escitalopram and fluoxetine were the three most commonly reported discontinuations and were also the 3 most likely to be associated with “no improvement”. Aripiprazole was the most commonly reported discontinued atypical antipsychotic. The providers rated 94% of consultations as extremely or very helpful at the time of consult. An independent validation survey of 128 providers confirmed these ratings, with 96% reporting a rating of “very helpful” or “extremely helpful”. In addition, 94% reported that these consults were superior to PGx consults provided through other laboratories. Patient characteristics captured during consults via a Clinical Global Impressions-Severity (CGI-S) scale revealed that the majority of patients were moderately (54%) or markedly ill (23%). The most frequent symptoms reported were depression, anxiety, insomnia and inattentiveness.DiscussionThe large variety of psychotropic drugs available to providers, and their highly variable response rates, tolerability, capacity for drug-drug interactions and metabolic pathways present a challenge for even expert psychopharmacologists. Consultation with experts in PGx provides additional useful information that may improve outcomes and decrease healthcare resource utilization. This database may provide future opportunities for machine learning algorithms to further inform implications of included gene variants.FundingGenomind, Inc.

Weedy Rice Diversity in Southern Brazil

Weed Science ◽  
2021 ◽  
pp. 1-37
Author(s):  
Leonard Bonilla Piveta ◽  
José Alberto Noldin ◽  
Nilda Roma-Burgos ◽  
Vívian Ebeling Viana ◽  
Lariza Benedetti ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
Flowering Time ◽  
Weed Management ◽  
Phenotypic Diversity ◽  
Weedy Rice ◽  
Phenotypic Traits ◽  
Southern Brazil ◽  
Variable Response ◽  
Cultivated Rice ◽  
Flowering Synchrony

Abstract Weedy rice (Oryza sativa L.) is one of the most troublesome weeds affecting rice (Oryza sativa L.) production in many countries. Weedy rice control is difficult in rice fields because the weed and crop are phenotypically and morphologically similar. Weedy rice can be a source of genetic diversity to cultivated rice. Thus, this study aimed to characterize the morphological diversity of weedy rice in Southern Brazil. Qualitative and quantitative traits of 249 accessions from eight rice growing mesoregions in Rio Grande do Sul (RS) and Santa Catarina (SC) states were analyzed. For each accession, 24 morphological descriptors (14 qualitative and 10 quantitative) were evaluated. All the 249 accessions from RS and SC are of indica lineage. Considering all the phenotypic traits evaluated, the accessions separated into 14 distinct groups. One of the largest groups consisted of plants that were predominantly tall and with green leaves, intermediate shattering, and variable in flowering time. Distinct subgroups exist within larger clusters, showing discernable phenotypic diversity within the main clusters. The variability in flowering time was high (77 to 110 d after emergence), indicating high potential for flowering synchrony with rice cultivars and, consequently, gene flow. This indicates the need to remove escapes when planting herbicide-resistant rice. Thus, weedy rice populations in Southern Brazil are highly diverse and this diversity could result in variable response to weed management.

Native pastures and beef cattle show a spatially variable response to a changing climate in Queensland, Australia

2020 ◽  
Vol 114 ◽  
pp. 126002
Author(s):  
David H Cobon ◽  
Grant Stone ◽  
John Carter ◽  
Greg McKeon ◽  
Baisen Zhang ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Variable Response ◽  
Changing Climate ◽  
Native Pastures

VARIABLE RESPONSE TO DONOR-SPECIFIC BLOOD TRANSFUSION IN THE RAT

1984 ◽  
Vol 38 (2) ◽  
pp. 178-181 ◽  
Author(s):  
LEONARD J. PERLOFF ◽  
CLYDE F. BARKER
Keyword(s):  
Blood Transfusion ◽  
Variable Response

Rapid and Automated Quantification of Microalgal Lipids on a Spinning Disc

2015 ◽  
Vol 87 (15) ◽  
pp. 7865-7871 ◽  
Author(s):  
Yubin Kim ◽  
Su-Nam Jeong ◽  
Bolam Kim ◽  
Dong-Pyo Kim ◽  
Yoon-Kyoung Cho
Keyword(s):  
Automated Quantification ◽  
Spinning Disc ◽  
Microalgal Lipids
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