NCBI BlastRule accession NBR005628

NCBI BlastRule accession NBR005628
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Protein Family Models
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The model on this page is part of a hierarchical collection of curated Hidden Markov Model-based and BLAST-based protein families (HMMs and BlastRules), and Conserved Domain Database architectures used to assign names, gene symbols, publications and EC numbers to the prokaryotic RefSeq proteins that meet the criteria for inclusion in a family. HMMs and BlastRules also contribute to structural annotation by NCBI's Prokaryotic Genome Annotation Pipeline (PGAP) (Read more).
Details
NCBI BlastRule accession
Model protein
Representative protein(s) of the BlastRule protein family.
Product name
Name propagated to proteins best supported by this BlastRule ( Read more ).
Family type
The family type indicates the BlastRule specificity and the diversity of protein hits. (Read more)
Gene symbol
EC number(s)
GO term(s)
Identity cutoff (%)
The minimum percent sequence identity between the model protein and a target protein.
Target coverage cutoff (%)
The minimum percentage of a target protein’s length that must be aligned to the model protein by BLAST.
Model coverage (%)
The minimum percentage of the model protein’s length that must be aligned to a target protein by BLAST.
Number of RefSeq protein hits
The number of RefSeq proteins with identity and coverage above the BlastRule’s identity and coverage cutoffs, respectively.
counting ...
Last updated
References
Protein hits
Named by this model (...)
Other hits (...)
No RefSeq protein is named by this evidence.
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All matching RefSeq proteins are named by this evidence.
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CDD Conserved Protein Domain Family: SAM_EPH-B3

CDD Conserved Protein Domain Family: SAM_EPH-B3
Conserved Protein Domain Family
SAM_EPH-B3
Entrez CDD Structure Protein Help
?
cd09553: SAM_EPH-B3
Download alignment
SAM domain of EPH-B3 subfamily of tyrosine kinase receptors
SAM (sterile alpha motif) domain of EPH-B3 subfamily of receptor tyrosine kinases is a C-terminal potential protein-protein interaction domain. This domain is located in the cytoplasmic region of EPH-B3 receptors and appears to mediate cell-cell initiated signal transduction. EPH-B3 receptor protein kinase performs kinase-dependent and kinase-independent functions. It is known to be involved in thymus morphogenesis, in regulation of cell adhesion and migration. Also EphB3 controls cell positioning and ordered migration in the intestinal epithelium and plays a role in the regulation of adult retinal ganglion cell axon plasticity after optic nerve injury. In some experimental models overexpression of EphB3 enhances cell/cell contacts and suppresses colon tumor growth.
Links
?
Source: cd09488
Taxonomy: Tetrapoda
PubMed: 14 links
Protein: Representatives
Specific Protein
Related Protein
Related Structure
Architectures
Superfamily: cl15755
Statistics
?
PSSM-Id: 188952
Aligned: 3 rows
Threshold Bit Score: 145.946
Created: 10-May-2010
Updated: 2-Oct-2020
Structure
?
Aligned Rows:
Download Cn3D
Conserved Features/Sites ?
PubMed References?
putative
Feature 1:putative phosphorylation site [posttranslational modification site]
Evidence:
Comment:Highlighted tyrosine is a potential phosphoregulatory site and histidine is its bonding partner (phosphorylated upon activation by ephrin).
Citation:PMID 9886291
Scroll to Sequence Alignment Display
Sequence Alignment
include consensus sequence ?
Format: Hypertext Plain Text mFasta Compact Hypertext Compact Text Row Display: Color Bits: 0.5 bit 1.0 bit 1.5 bit 2.0 bit 2.5 bit 3.0 bit 3.5 bit 4.0 bit Identity Type Selection: top listed sequences the most diverse members

Feature 1                         #                                #
Q91735    898 PDYTTFPTVSDWLEAIKMGQYQENFLSAGFTSFHLVAQMTAEDLLRIGVTLAGHQKKLLNSVQDMRLQM 966  African clawed frog
Q07498    912 PDYTTFTTVGDWLDAIKMGRYKENFVNAGFASFDLVAQMTAEDLLRIGVTLAGHQKKILSSIQDMRLQM 980  chicken
P54753    922 PDYTTFTTVGDWLDAIKMGRYKESFVSAGFASFDLVAQMTAEDLLRIGVTLAGHQKKILSSIQDMRLQM 990  human
Citing CDD
Jiyao W et al.(2023). "The conserved domain database in 2023.", Nucleic Acids Res. 51(D1):D384-D388.
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Social and Environmental Justice | Social Sciences | MDPI

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Two doses of the MMR vaccine are recommended by doctors as the best way to protect against measles, mumps, and rubella.
Children may get 2 doses of MMRV vaccine instead.
MMR & MMRV vaccines usually protect people for life against measles and rubella; but immunity against mumps may decrease over time.
Introduction
The best way to protect against measles is to get the measles, mumps, and rubella (MMR) vaccine. Children may get the measles, mumps, rubella, and varicella (MMRV) vaccine instead, which protects against chickenpox too.
Most people who are vaccinated with MMR & MMRV will be protected for life. Vaccines and high rates of vaccination have made these diseases much less common in the United States.
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There are two vaccines that protect against measles, mumps, and rubella. Both MMR and MMRV vaccines may be given at the same time as other vaccines.
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Two MMR vaccines are available for use in the United States: M-M-R II and PRIORIX. Both are recommended similarly and considered interchangeable.
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This vaccine is only licensed for use in children who are 12 months through 12 years of age.
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Anyone traveling internationally—Should be fully vaccinated before traveling. Infants 6–11 months old should get 1 dose of the MMR vaccine before travel. Then they should get 2 more doses after their first birthday.
People at increased risk for mumps during a mumps outbreak—An additional dose of MMR may be needed. Public health authorities will notify you if you are at increased risk and should receive this extra dose. If you already have 2 doses of MMR, it's not necessary to seek out vaccination; unless the authorities tell you that you are part of this group.
Measles Vaccine Recommendations Summary
Refer to this summary table to find the MMR recommendations based on age and status.
Download
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Keep Reading MMR Recommendations Before International Travel
MMRV
Children 12 months through 12 years of age may be given 2 doses of MMRV vaccine. Each dose is usually given at:
12–15 months old
1st dose
4–6 years old
2nd dose (can also be given 3 months after 1st dose)
After exposure to measles, mumps, or rubella
If you don't have immunityA against these diseases and become exposed to them, talk with your doctor about getting MMR vaccine. It is not harmful to get MMR vaccine after being exposed to measles, mumps, or rubella. Doing so may possibly prevent later disease.
If you get MMR vaccine within 72 hours of initially being exposed to measles, you may get some protection; or have milder illness. In other cases, you may be given a medicine called immunoglobulin (IG) within 6 days of being exposed to measles. This provides some protection against the disease or illness is milder.
Unlike with measles, MMR has not been shown to be effective at preventing mumps or rubella in people already infected.
Why getting vaccinated is important
The MMR vaccine protects your child from measles, mumps, and rubella, potentially serious diseases caused by viruses. Almost everyone who has not had the MMR vaccine will get sick if they are exposed to those viruses. The vaccine keeps your child from missing school or childcare; and you from missing work to care for your sick child. Vaccination also limits the size, duration, and spread of outbreaks.
For measles: MMR vaccine protects your child from getting an uncomfortable rash and high fever from measles.
For mumps: MMR vaccine protects your child from getting a fever and swollen glands under the ears or jaw from mumps.
For rubella: MMR vaccine prevents your child from getting a rash and fever from rubella. The vaccine also prevents your child from spreading rubella to a pregnant woman whose unborn baby could develop serious birth defects or die if the mother gets rubella.
Who should get vaccinated
MMR vaccination is important for children as well as adults who do not have evidence of immunity.A These include:
Students at post-high school educational institutions
Healthcare personnel
International travelers
Women of childbearing age before they get pregnant
Groups at increased risk for mumps because of a mumps outbreak
Who shouldn't get vaccinated
Some people should not get the MMR vaccine, or they should wait. People should check with their healthcare provider about whether they should get the vaccine if they:
Has had an allergic reaction after a previous dose of MMR or MMRV vaccine, or has any severe, life-threatening allergies.
Are or may be pregnant. Wait to get MMR vaccine until after you are no longer pregnant. Avoid getting pregnant for at least 1 month after getting MMR vaccine.
Have a weakened immune system due to disease or medical treatments; or have a family member with a history of immune system problems.
Have ever had a condition that makes them bruise or bleed easily.
Have recently had a blood transfusion or received other blood products. You might be advised to postpone MMR vaccination for 3 months or more.
Have tuberculosis.
Have gotten any other vaccines in the past 4 weeks.
Are feeling unwell or severely ill. Your doctor can advise you.
Additionally, people should wait to get the MMRV vaccine and tell their provider if they:
Have a history of seizures, or has a parent, brother, or sister with a history of seizures.
Are taking or plans to take salicylates (such as aspirin).
The vaccine is safe and effective
MMR vaccine is very safe and is effective at preventing measles, mumps, and rubella. Vaccines, like any medicine, can have side effects. These are usually mild and go away on their own.
There is no link between the MMR vaccine and autism. Scientists in the United States and other countries have carefully studied the MMR vaccine. None has found a link between autism and the MMR vaccine.
It is safe for breastfeeding women to receive MMR vaccination. Breastfeeding does not interfere with the response to MMR vaccine; and the baby will not be affected by the vaccine through breast milk.
One dose of MMR vaccine is:
93% effective again


春節期間國外旅遊莫忘先至旅遊醫學門診諮詢；入境有症狀主動通報機場檢疫站；返國後不適速就醫 - Taiwan Centers for Disease Control

春節期間國外旅遊莫忘先至旅遊醫學門診諮詢；入境有症狀主動通報機場檢疫站；返國後不適速就醫 - Taiwan Centers for Disease Control
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時值寒假及春節旅遊旺季，為避免傳染病散布，防疫人員春節期間不鬆懈，持續駐守在各個機場港埠實施檢疫，解決民眾各項防疫需求。疾病管制署呼籲，民眾出國前應先暸解當地疫情，前往的國家如需使用瘧疾預防藥物或接種疫苗，應於出發前4週先至國內26家旅遊醫學門診合約醫院尋求專業旅遊醫療諮詢；由於春節期間醫院多暫停門診服務，請規劃於年後出國的旅客提早就診諮詢，保障旅途健康。
依據疾管署國際疫情監測顯示，北半球整體流感疫情上升，近期流行病毒以H3N2型為主。中國大陸、英國、韓國及日本等國家尚處諾羅病毒流行期且急性腸胃炎病例仍多。東南亞、南亞、中南美洲暨加勒比海地區、非洲等為登革熱、瘧疾、屈公病及茲卡病毒感染症等蟲媒傳染病流行地區，美國佛州及德州亦有零星茲卡本土疫情；另巴西黃熱病疫情持續及安哥拉出現茲卡本土病例，基於當地具暴露風險，分別提升旅遊疫情建議至注意及警示。撒哈拉沙漠以南之非洲中部地區正值流行性腦脊髓膜炎流行期。沙烏地阿拉伯等中東國家，全年均有散發MERS疫情風險；阿富汗及巴基斯坦仍有小兒麻痺病例發生。
另疾管署接獲陸方通報，1月1日至1月15日新增95例H7N9流感病例，發病日介於12月13日至1月13日，分別為江蘇省32例、浙江省22例、安徽省14例、湖南省11例、廣東省8例、江西省及福建省各4例；個案多具禽類、活禽市場暴露史。自入秋（2016年10月1日）迄今累計240例，以江蘇省91例、浙江省45例、安徽省28例、廣東省26例為多。中國大陸往年11月至次年5月為流行季，本季12月及1月病例快速攀升，目前病例數已為歷年同期最高。
目前針對人類新型A型流感旅遊疫情建議，中國大陸江蘇省、浙江省、安徽省、廣東省、福建省、貴州省、上海市、湖北省、湖南省、河南省、江西省、山東省、廣西壯族自治區、四川省、河北省、北京市、天津市、遼寧省及雲南省旅遊疫情建議列為第二級：警示（Alert），其他省市（不含港澳）列為第一級：注意（Watch）。
疾管署提醒，民眾旅遊期間，請遵循「勤洗手、吃熟食、喝瓶裝水」、「落實防蚊措施」及「不接觸禽鳥、犬貓及野生動物」等基本預防措施。如出現發燒、腹瀉、出疹、咳嗽等疑似傳染病症狀，請於入境時主動告知檢疫人員，以即時獲得適切的照護處置。返國後21天內出現不適，應儘速就醫，並主動告知醫師近期旅遊史。相關資訊可至疾管署全球資訊網「國際旅遊與健康專區」（https://www.cdc.gov.tw/Category/List/dFJicFhwWk03RU8zK2RrYzRSWVp1UT09），或撥打免付費防疫專線1922（或0800-001922）洽詢。
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Mid-Career Library and Information Professionals - 1st Edition | Elsevier Shop

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Mid-Career Library and Information Professionals
A Leadership Primer
1st Edition - December 14, 2010
Latest edition
Editors: Dawn Lowe-Wincentsen, Linda Crook
Language: English
As librarians move into the middle of their careers, they are more ready than ever to take on new leadership opportunities. Literature on leadership is expanding in the field of… Read more
Description
As librarians move into the middle of their careers, they are more ready than ever to take on new leadership opportunities. Literature on leadership is expanding in the field of library and information sciences, and more and more seminars and workshops are being offered for new and seasoned leaders. This book asks the questions: ‘What about us?’ and, ‘Where is the leadership advice and training for those who are no longer new librarians, but are also not yet seasoned leaders?’ The title illustrates how to work the middle, from being in the sophomore slump progressing to the next leaders in the field, to look for perspectives from others who are in the middle of their career, and how they have developed into leaders, ways to develop one’s own style of leadership and grow one’s career and future as a librarian and information professional.
Key features
Perspectives on leadership from mid-career information professionals
Tips and tools on how to become a leader from the middle of your career
A how-to guide on making changes from the middle
Readership
Practitioners of Library and Information Science
Table of contents
Saying yes, again: An introduction to leadership for mid-career librarians; What to do when you can’t do it all; Empowering the reluctant new library manager; Stuck in the middle and loving it! Why middle managers have the ability to lead from the heart and the power to persuade; Making it work: Leading without a pedestal; Leading without authority: Maintaining balance and relationships; Career progression: Mentoring to the rescue; When life and leadership collide; Avoiding the Peter Principle: ‘Every employee tends to rise to his level of incompetence’; Work envy, workhorses and the mid-career librarian; Don’t get stuck in a rut!; Out of bounds: Developing a library outreach program using the ‘Five Practices of Exemplary Leadership’ model; Technologically indispensable: Leading when you’re technically competent but seen merely as a useful tool to get other folks’ ideas implemented; Same song, different verse: critical followership as an act of resilience for second-career librarians; New in town: Leadership betwixt and between; Making your mark: Scholarship, ‘niche-building,’ and other ways of defining and marketing your expertise; Exercise your leadership potential.
Review quotes
"…a very current, topical and easy-to-read book that is perfect for the busy librarian. …a valuable addition to a professional library for a librarian seeking career advancement or looking for new work challenges."—Australian Library Journal
"One of the book's strengths is that it is written by librarians with a wide breadth of experiences. They provide useful references for further reading, and many of them make effective use of tables to convey key points. The book's format, length and price are reasonable."—Journal of the Canadian Health Libraries Association
Product details
Edition: 1
Latest edition
Published: December 14, 2010
Language: English
About the editors
DL
Dawn Lowe-Wincentsen
Dawn Lowe-Wincentsen is the Portland Operations librarian at the Oregon Institute of Technology. She graduated with her MLIS from Louisiana State University in 2003, though she has been in libraries in various forms since her first job as a student assistant in the library at Linfield College in 1996. Dawn has written other various works including co-authoring A Leadership Primer for New Librarians: Tools for Helping Today's Early Career Librarians Become Tomorrow's Library Leaders (2009).
Affiliations and expertise
Wilsonville Campus Librarian, Oregon Institute of Technology, Portland, OR, USA
LC
Linda Crook
Linda Crook is Science Librarian and Assistant Professor at Washington State University, where she is the liaison to the College of Pharmacy. She received her MLIS from the University of Washington iSchool in 2000. She has been working in libraries since 1991, including time as student assistant, paraprofessional, and librarian; in a public library, a special library, and academic libraries; as lead, supervisor, division head, and branch library head. Linda is active in the American Library Association where she participated in the 2008 Emerging Leaders program. Her other works include a contribution to A Leadership Primer for New Librarians: Tools for Helping Today's Early Career Librarians Become Tomorrow's Library Leaders (2009).
Affiliations and expertise
Washington State University, USA
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Cite
Better together-Salmonella biofilm-associated antibiotic resistance.
Aleksandrowicz A, Carolak E, Dutkiewicz A, Błachut A, Waszczuk W, Grzymajlo K. Aleksandrowicz A, et al. Gut Microbes. 2023 Jan-Dec;15(1):2229937. doi: 10.1080/19490976.2023.2229937. Gut Microbes. 2023. PMID: 37401756 Free PMC article. Review.
Salmonella poses a serious threat to public health and socioeconomic development worldwide because of its foodborne pathogenicity and antimicrobial resistance. This biofilm-planktonic lifestyle enables Salmonella to interfere with the host and become resis …
Salmonella poses a serious threat to public health and socioeconomic development worldwide because of its foodborne pathogenicity and …
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Antibiotic-resistant Salmonella in swine wastes and farm surface waters.
Casanova LM, Hill VR, Sobsey MD. Casanova LM, et al. Lett Appl Microbiol. 2020 Jul;71(1):117-123. doi: 10.1111/lam.13242. Epub 2020 Jan 16. Lett Appl Microbiol. 2020. PMID: 31648373
The objective of this research was to determine whether Salmonella resistant to clinically relevant antibiotics were present in wastewaters and surface waters from hog CAFOs. ...No resistance to cephalosporin or fluoroquinolones was found. Resistanc …
The objective of this research was to determine whether Salmonella resistant to clinically relevant antibiotics were pr …
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Salmonella infection - prevention and treatment by antibiotics and probiotic yeasts: a review.
Gut AM, Vasiljevic T, Yeager T, Donkor ON. Gut AM, et al. Microbiology (Reading). 2018 Nov;164(11):1327-1344. doi: 10.1099/mic.0.000709. Epub 2018 Aug 23. Microbiology (Reading). 2018. PMID: 30136920 Free article. Review.
The use of antibiotic drugs in treating the infection is proving less effective due to the alarming rise of antibiotic-resistant strains of Salmonella, the effects of antibiotics on normal gut microflora and antibiotic-associated diarrhoe …
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Variability in the Adaptive Response of Antibiotic-Resistant Sa


Effects of red-cell storage duration on patients undergoing cardiac surgery

Effects of red-cell storage duration on patients undergoing cardiac surgery
Effects of red-cell storage duration on patients undergoing cardiac surgery
N Engl J Med. 2015 Apr 9;372(15):1419-29. doi: 10.1056/NEJMoa1414219.
Authors
Marie E Steiner 1 , Paul M Ness, Susan F Assmann, Darrell J Triulzi, Steven R Sloan, Meghan Delaney, Suzanne Granger, Elliott Bennett-Guerrero, Morris A Blajchman, Vincent Scavo, Jeffrey L Carson, Jerrold H Levy, Glenn Whitman, Pamela D'Andrea, Shelley Pulkrabek, Thomas L Ortel, Larissa Bornikova, Thomas Raife, Kathleen E Puca, Richard M Kaufman, Gregory A Nuttall, Pampee P Young, Samuel Youssef, Richard Engelman, Philip E Greilich, Ronald Miles, Cassandra D Josephson, Arthur Bracey, Rhonda Cooke, Jeffrey McCullough, Robert Hunsaker, Lynne Uhl, Janice G McFarland, Yara Park, Melissa M Cushing, Charles T Klodell, Ravindra Karanam, Pamela R Roberts, Cornelius Dyke, Eldad A Hod, Christopher P Stowell
Affiliation
1 From Fairview-University Medical Center, Minneapolis (M.E.S., S.P., J.M.), and Mayo Clinic, Rochester (G.A.N.) - both in Minnesota; Johns Hopkins University (P.M.N., G.W.) and University of Maryland (R.C.) - both in Baltimore; New England Research Institutes, Data Coordinating Center, Watertown (S.F.A., S.G.), Boston Children's Hospital (S.R.S.), Massachusetts General Hospital (L.B., C.P.S.), Brigham and Women's Hospital (R.M.K.), Tufts University (R.E.), St. Elizabeth's Medical Center (R.H.), and Beth Israel Deaconess Medical Center (L.U.), Boston, and Baystate Medical Center, Springfield (R.E.) - all in Massachusetts; University of Pittsburgh and University of Pittsburgh-Mercy Hospital, Pittsburgh (D.J.T., P.D.); Puget Sound Blood Center and University of Washington (M.D.) and Swedish Medical Center (S.Y.) - all in Seattle; Duke University, Durham (E.B.-G., J.H.L., T.L.O.), and University of North Carolina, Chapel Hill (Y.P.) - both in North Carolina; McMaster University, Hamilton, ON, Canada (M.A.B.); Indiana-Ohio Heart and St. Joseph Hospital (V.S.) - both in Fort Wayne, IN; Rutgers Robert Wood Johnson Medical School, New Brunswick (J.L.C.), and Newark Beth Israel Medical Center, Newark (R.K.) - both in New Jersey; University of Iowa, Iowa City (T.R.); Aurora St. Luke's Medical Center (K.E.P.) and Froedert Memorial Lutheran Hospital (J.G.M.), Milwaukee, and Aspirus Heart and Vascular Institute, Wausau (R.M.) - all in Wisconsin; Vanderbilt University, Nashville (P.P.Y.); University of Texas Southwestern Medical Center, Dallas (P.E.G.); Children's Healthcare of Atlanta, Emory University, and Emory University Hospital, Atlanta (C.D.J.); St. Luke's-Texas Heart Institute, Houston (A.B.); Weill Cornell Medical College (M.M.C.) and Columbia University Medical Center (E.A.H.) - both in New York; University of Florida, Gainesville (C.T.K.); University of Oklahoma, Oklahoma City (P.R.R.); and University of North Dakota School of Medicine and Health Sciences, Fargo (C.D.).
PMID: 25853746
PMCID: PMC5442442
DOI: 10.1056/NEJMoa1414219
Abstract
Background: Some observational studies have reported that transfusion of red-cell units that have been stored for more than 2 to 3 weeks is associated with serious, even fatal, adverse events. Patients undergoing cardiac surgery may be especially vulnerable to the adverse effects of transfusion.
Methods: We conducted a randomized trial at multiple sites from 2010 to 2014. Participants 12 years of age or older who were undergoing complex cardiac surgery and were likely to undergo transfusion of red cells were randomly assigned to receive leukocyte-reduced red cells stored for 10 days or less (shorter-term storage group) or for 21 days or more (longer-term storage group) for all intraoperative and postoperative transfusions. The primary outcome was the change in Multiple Organ Dysfunction Score (MODS; range, 0 to 24, with higher scores indicating more severe organ dysfunction) from the preoperative score to the highest composite score through day 7 or the time of death or discharge.
Results: The median storage time of red-cell units provided to the 1098 participants who received red-cell transfusion was 7 days in the shorter-term storage group and 28 days in the longer-term storage group. The mean change in MODS was an increase of 8.5 and 8.7 points, respectively (95% confidence interval for the difference, -0.6 to 0.3; P=0.44). The 7-day mortality was 2.8% in the shorter-term storage group and 2.0% in the longer-term storage group (P=0.43); 28-day mortality was 4.4% and 5.3%, respectively (P=0.57). Adverse events did not differ significantly between groups except that hyperbilirubinemia was more common in the longer-term storage group.
Conclusions: The duration of red-cell storage was not associated with significant differences in the change in MODS. We did not find that the transfusion of red cells stored for 10 days or less was superior to the transfusion of red cells stored for 21 days or more among patients 12 years of age or older who were undergoing complex cardiac surgery. (Funded by the National Heart, Lung, and Blood Institute; RECESS ClinicalTrials.gov number, NCT00991341.).
Publication types
Comparative Study
Multicenter Study
Randomized Controlled Trial
Research Support, N.I.H., Extramural
MeSH terms
Adult
Aged
Blood Grouping and Crossmatching
Blood Preservation*
Cardiac Surgical Procedures*
Erythrocyte Transfusion* / adverse effects
Female
Humans
Intention to Treat Analysis
Length of Stay
Male
Middle Aged
Mortality
Multiple Organ Failure / classification
Proportional Hazards Models
Severity of Illness Index
Time Factors
Associated data
ClinicalTrials.gov/NCT00991341
Grants and funding
R01 HL101382/HL/NHLBI NIH HHS/United States
U01 HL072331/HL/NHLBI NIH HHS/United States
UL1 RR025758/RR/NCRR NIH HHS/United States


Pregnenolone and dehydroepiandrosterone as an adjunctive treatment in schizophrenia and schizoaffective disorder: an 8-week, double-blind, randomiz...

Pregnenolone and dehydroepiandrosterone as an adjunctive treatment in schizophrenia and schizoaffective disorder: an 8-week, double-blind, randomized, controlled, 2-center, parallel-group trial
Pregnenolone and dehydroepiandrosterone as an adjunctive treatment in schizophrenia and schizoaffective disorder: an 8-week, double-blind, randomized, controlled, 2-center, parallel-group trial
J Clin Psychiatry. 2010 Oct;71(10):1351-62. doi: 10.4088/JCP.09m05031yel. Epub 2010 Jun 15.
Authors
Michael S Ritsner 1 , Anatoly Gibel, Tatyana Shleifer, Igor Boguslavsky, Ahmad Zayed, Rachel Maayan, Abraham Weizman, Vladimir Lerner
Affiliation
1 Department of Psychiatry, The Rappaport Faculty of Medicine, Technion–Israel Institute of Technology, Haifa, Israel. <EMAIL_17>
PMID: 20584515
DOI: 10.4088/JCP.09m05031yel
Abstract
Objective: Pregnenolone (PREG) and dehydroepiandrosterone (DHEA) are reported to have a modulatory effect on neuronal excitability, synaptic plasticity, and response to stress; they are associated with mood regulation and cognitive performance. We investigated the influence of PREG and DHEA on psychotic symptoms and cognitive functioning as an add-on to ongoing antipsychotic treatment of patients with chronic schizophrenia or schizoaffective disorder.
Method: This 8-week, double-blind, randomized, placebo-controlled, 2-center study compared 30 mg/d of PREG (PREG-30), 200 mg/d of PREG (PREG-200), 400 mg/d of DHEA, and placebo as an adjunctive treatment of 58 chronic schizophrenia or schizoaffective disorder patients (DSM-IV). The data were collected from February 2005 until June 2007. The outcome measures were symptomatic and neurocognitive changes, functioning, and tolerability as assessed primarily by the Clinical Global Impressions-Severity of Illness scale and the Positive and Negative Syndrome Scale. Analyses are presented for 44 patients who completed 8 weeks of treatment and for 14 noncompleters.
Results: Compared with subjects who received placebo, those administered PREG-30 had significant reductions in positive symptom scores and extrapyramidal side effects (EPS) and improvement in attention and working memory performance, whereas subjects treated with PREG-200 did not differ on outcome variable scores for the study period. The general psychopathology severity and general functioning of patients receiving placebo and PREG-30 improved more than that of those subjects treated with DHEA, while EPS improved more in subjects treated with DHEA than in patients receiving placebo. Negative symptoms and akathisia were not significantly benefited by any treatment. The administration of PREG and DHEA was well tolerated.
Conclusions: Low-dose PREG augmentation demonstrated significant amelioration of positive symptoms and EPS and improvement in attention and working memory performance of schizophrenia and schizoaffective disorder patients. Further double-blind controlled studies are needed to investigate the clinical benefit of pregnenolone augmentation.
Trial registration: clinicaltrials.gov Identifier: NCT00174889.
© Copyright 2010 Physicians Postgraduate Press, Inc.
Publication types
Multicenter Study
Randomized Controlled Trial
MeSH terms
Adolescent
Adult
Antipsychotic Agents / administration & dosage
Attention / drug effects
Dehydroepiandrosterone / administration & dosage*
Dehydroepiandrosterone / adverse effects
Dose-Response Relationship, Drug
Double-Blind Method
Drug Therapy, Combination* / adverse effects
Dyskinesia, Drug-Induced / drug therapy
Female
Humans
Male
Memory, Short-Term / drug effects
Middle Aged
Neurotransmitter Agents / administration & dosage*
Neurotransmitter Agents / adverse effects
Pregnenolone / administration & dosage*
Pregnenolone / adverse effects
Psychotic Disorders / drug therapy*
Schizophrenia / drug therapy*
Severity of Illness Index
Substances
Antipsychotic Agents
Neurotransmitter Agents
Dehydroepiandrosterone
Pregnenolone
Associated data
ClinicalTrials.gov/NCT00174889


Vantilatörler Fiyatları & Modelleri - Pasaj

Vantilatörler Fiyatları & Modelleri - Pasaj
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tf.extract_volume_patches | TensorFlow v2.4.0

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Convalida dei dati utilizzando TFX Pipeline e TensorFlow Data Validation

Convalida dei dati utilizzando TFX Pipeline e TensorFlow Data Validation
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Convalida dei dati utilizzando TFX Pipeline e TensorFlow Data Validation Mantieni tutto organizzato con le raccolte Salva e classifica i contenuti in base alle tue preferenze.
Nota: Si consiglia di eseguire questo tutorial in un notebook Colab, con nessuna installazione richiesta! Basta fare clic su "Esegui in Google Colab".
Visualizza su TensorFlow.org Esegui in Google Colab Visualizza la fonte su GitHub Scarica taccuino
In questo tutorial basato su notebook, creeremo ed eseguiremo pipeline TFX per convalidare i dati di input e creare un modello ML. Questo notebook è basato sul gasdotto TFX abbiamo costruito in semplice TFX Pipeline Tutorial . Se non hai ancora letto quel tutorial, dovresti leggerlo prima di procedere con questo taccuino.
La prima attività in qualsiasi data science o progetto ML è comprendere e pulire i dati, che includono:
Comprendere i tipi di dati, le distribuzioni e altre informazioni (ad esempio, valore medio o numero di univoci) su ciascuna caratteristica
Generazione di uno schema preliminare che descrive i dati
Identificazione di anomalie e valori mancanti nei dati rispetto a uno schema dato
In questo tutorial creeremo due pipeline TFX.
Innanzitutto, creeremo una pipeline per analizzare il set di dati e generare uno schema preliminare del set di dati specificato. Questo gasdotto comprenderà due nuovi componenti, StatisticsGen e SchemaGen .
Una volta che avremo uno schema corretto dei dati, creeremo una pipeline per addestrare un modello di classificazione ML basato sulla pipeline del tutorial precedente. In questo gasdotto, useremo lo schema dalla prima pipeline e un nuovo componente, ExampleValidator , per convalidare i dati di input.
I tre nuovi componenti, StatisticsGen, SchemaGen e ExampleValidator, sono componenti TFX per l'analisi dei dati e la validazione, e la loro applicazione utilizzando il tensorflow Data Validation biblioteca.
Si prega di consultare Capire TFX Pipelines per conoscere meglio i vari concetti in TFX.
Impostare
Per prima cosa dobbiamo installare il pacchetto TFX Python e scaricare il set di dati che utilizzeremo per il nostro modello.
Aggiorna Pip
Per evitare di aggiornare Pip in un sistema durante l'esecuzione in locale, verificare che stiamo eseguendo in Colab. I sistemi locali possono ovviamente essere aggiornati separatamente.
try:
  import colab
  !pip install --upgrade pip
except:
  pass
Installa TFX

pip install -U tfx
Hai riavviato il runtime?
Se stai utilizzando Google Colab, la prima volta che esegui la cella in alto, devi riavviare il runtime facendo clic sul pulsante "RIAVVIA RUNTIME" sopra o utilizzando il menu "Runtime > Riavvia runtime ...". Ciò è dovuto al modo in cui Colab carica i pacchetti.
Controlla le versioni TensorFlow e TFX.
import tensorflow as tf
print('TensorFlow version: {}'.format(tf.__version__))
from tfx import v1 as tfx
print('TFX version: {}'.format(tfx.__version__))

TensorFlow version: 2.6.2
TFX version: 1.4.0
Imposta variabili
Ci sono alcune variabili usate per definire una pipeline. Puoi personalizzare queste variabili come desideri. Per impostazione predefinita, tutto l'output dalla pipeline verrà generato nella directory corrente.
import os

# We will create two pipelines. One for schema generation and one for training.
SCHEMA_PIPELINE_NAME = "penguin-tfdv-schema"
PIPELINE_NAME = "penguin-tfdv"

# Output directory to store artifacts generated from the pipeline.
SCHEMA_PIPELINE_ROOT = os.path.join('pipelines', SCHEMA_PIPELINE_NAME)
PIPELINE_ROOT = os.path.join('pipelines', PIPELINE_NAME)
# Path to a SQLite DB file to use as an MLMD storage.
SCHEMA_METADATA_PATH = os.path.join('metadata', SCHEMA_PIPELINE_NAME,
                                    'metadata.db')
METADATA_PATH = os.path.join('metadata', PIPELINE_NAME, 'metadata.db')

# Output directory where created models from the pipeline will be exported.
SERVING_MODEL_DIR = os.path.join('serving_model', PIPELINE_NAME)

from absl import logging
logging.set_verbosity(logging.INFO)  # Set default logging level.
Prepara dati di esempio
Scaricheremo il set di dati di esempio da utilizzare nella nostra pipeline TFX. Il set di dati che stiamo usando è Palmer Penguins set di dati che viene utilizzato anche in altri esempi TFX .
Ci sono quattro caratteristiche numeriche in questo set di dati:
culmen_length_mm
culmen_depth_mm
flipper_length_mm
body_mass_g
Tutte le caratteristiche erano già normalizzate per avere un intervallo [0,1]. Costruiremo un modello di classificazione che prevede le species di pinguini.
Poiché il componente TFX ExampleGen legge gli input da una directory, è necessario creare una directory e copiarvi il set di dati.
import urllib.request
import tempfile

DATA_ROOT = tempfile.mkdtemp(prefix='tfx-data')  # Create a temporary directory.
_data_url = 'https://raw.githubusercontent.com/tensorflow/tfx/master/tfx/examples/penguin/data/label


NHANES August 2021-August 2023 Laboratory Methods

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