Hebrew
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Cytokine 2011-Feb

Mathematical relationship between cytokine concentrations and pathogen levels during infection.

רק משתמשים רשומים יכולים לתרגם מאמרים
התחבר הרשם
הקישור נשמר בלוח
Yue Zhang
James B Bliska

מילות מפתח

תַקצִיר

The relationship between concentrations of cytokines and microbial pathogen levels during infection is not clear. In a sub-lethal murine infection model using Gram-negative bacterial pathogen Yersinia pseudotuberculosis, the serum concentrations (C) of pro-inflammatory cytokines tumor necrosis factor α (TNFα), interferon γ (IFNγ), interleukine-1β (IL-1β) and interleukine-18 (IL-18) formed a mathematical relationship with the splenic pathogen levels (P) as measured by colony forming unit. Naming parameters "m" and "k" for magnitude and kinetics, respectively, the relationship is depicted as C=mP(k). When reanalyzing the TNFα and IFNγ concentrations and the bacterial levels that were determined by other groups during infection with another strain of Y. pseudotuberculosis or with Yersinia pestis, this relationship was maintained. Interestingly, the changes in the values of "m" and "k" were consistent with the progress of the host immune response during infection; while deviation from this relationship was observed in individuals that seemed to be unable to control infection. Furthermore, in a murine model of ricin intoxication the local concentrations of the cytokine monocyte chemotactic protein 1 (MCP-1) and the concentrations of injected castor bean toxin ricin also conform to this relationship. C=mP(k) could be a general relationship in host cytokine response to pathogens or pathogen-associated molecular patterns. If confirmed, this type of analysis will be very useful in identifying the steps in a host immune response with which a pathogen interferes. It will also help to determine the specific functions of a host factor in the immune response.

הצטרפו לדף הפייסבוק שלנו

המאגר השלם ביותר של צמחי מרפא המגובה על ידי המדע

  • עובד ב 55 שפות
  • מרפא צמחי מרפא מגובה על ידי מדע
  • זיהוי עשבי תיבול על ידי דימוי
  • מפת GPS אינטראקטיבית - תייגו עשבי תיבול במיקום (בקרוב)
  • קרא פרסומים מדעיים הקשורים לחיפוש שלך
  • חפש עשבי מרפא על פי השפעותיהם
  • ארגן את תחומי העניין שלך והתעדכן במחקר החדשות, הניסויים הקליניים והפטנטים

הקלד סימפטום או מחלה וקרא על צמחי מרפא שעשויים לעזור, הקלד עשב וראה מחלות ותסמינים שהוא משמש נגד.
* כל המידע מבוסס על מחקר מדעי שפורסם

Google Play badgeApp Store badge