Systematic Expression Profiling Analysis Identifies Specific MicroRNA-Gene Interactions that May Differentiate between Active and Latent Tuberculosis Infection

المؤلفون المشاركون

Hsu, Paul Wei-Che
Wu, Lawrence Shih-Hsin
Lee, Shih-Wei
Huang, Kai-Yao
Weng, Julia Tzu-Ya
Lee, Tzong-Yi

المصدر

BioMed Research International

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-09-03

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

الطب البشري

الملخص EN

Tuberculosis (TB) is the second most common cause of death from infectious diseases.

About 90% of those infected are asymptomatic—the so-called latent TB infections (LTBI), with a 10% lifetime chance of progressing to active TB.

To further understand the molecular pathogenesis of TB, several molecular studies have attempted to compare the expression profiles between healthy controls and active TB or LTBI patients.

However, the results vary due to diverse genetic backgrounds and study designs and the inherent complexity of the disease process.

Thus, developing a sensitive and efficient method for the detection of LTBI is both crucial and challenging.

For the present study, we performed a systematic analysis of the gene and microRNA profiles of healthy individuals versus those affected with TB or LTBI.

Combined with a series of in silico analysis utilizing publicly available microRNA knowledge bases and published literature data, we have uncovered several microRNA-gene interactions that specifically target both the blood and lungs.

Some of these molecular interactions are novel and may serve as potential biomarkers of TB and LTBI, facilitating the development for a more sensitive, efficient, and cost-effective diagnostic assay for TB and LTBI for the Taiwanese population.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Wu, Lawrence Shih-Hsin& Lee, Shih-Wei& Huang, Kai-Yao& Lee, Tzong-Yi& Hsu, Paul Wei-Che& Weng, Julia Tzu-Ya. 2014. Systematic Expression Profiling Analysis Identifies Specific MicroRNA-Gene Interactions that May Differentiate between Active and Latent Tuberculosis Infection. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1034598

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Wu, Lawrence Shih-Hsin…[et al.]. Systematic Expression Profiling Analysis Identifies Specific MicroRNA-Gene Interactions that May Differentiate between Active and Latent Tuberculosis Infection. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1034598

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Wu, Lawrence Shih-Hsin& Lee, Shih-Wei& Huang, Kai-Yao& Lee, Tzong-Yi& Hsu, Paul Wei-Che& Weng, Julia Tzu-Ya. Systematic Expression Profiling Analysis Identifies Specific MicroRNA-Gene Interactions that May Differentiate between Active and Latent Tuberculosis Infection. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1034598

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1034598