Your browser doesn't support javascript.
loading
Investigating the link between miR-34a-5p and TLR6 signaling in sepsis-induced ARDS.
Khan, Mohd Junaid; Singh, Prithvi; Jha, Prakash; Nayek, Arnab; Malik, Md Zubbair; Bagler, Ganesh; Kumar, Bhupender; Ponnusamy, Kalaiarasan; Ali, Shakir; Chopra, Madhu; Dohare, Ravins; Singh, Indrakant Kumar; Syed, Mansoor Ali.
Affiliation
  • Khan MJ; Translational Research Lab, Department of Biotechnology, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, 110025 India.
  • Singh P; Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, 110025 India.
  • Jha P; Laboratory of Molecular Modeling and Anticancer Drug Development, Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, New Delhi, 110007 India.
  • Nayek A; Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, 110029 India.
  • Malik MZ; Department of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, 15462 Kuwait City, Kuwait.
  • Bagler G; Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, 110020 India.
  • Kumar B; Department of Microbiology, Swami Shraddhanand College, University of Delhi, New Delhi, 110036 India.
  • Ponnusamy K; Biotechnology and Viral Hepatitis Division, National Centre for Disease Control, Sham Nath Marg, New Delhi, 110054 India.
  • Ali S; Department of Biochemistry, School of Chemical and Life Sciences Jamia Hamdard, New Delhi, 110062 India.
  • Chopra M; Laboratory of Molecular Modeling and Anticancer Drug Development, Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, New Delhi, 110007 India.
  • Dohare R; Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, 110025 India.
  • Singh IK; Molecular Biology Research Lab, Department of Zoology, Deshbandhu College, University of Delhi, Kalkaji, New Delhi, 110019 India.
  • Syed MA; DBC i4 Center, Deshbandhu College, University of Delhi, Kalkaji, New Delhi, 110019 India.
3 Biotech ; 13(8): 282, 2023 Aug.
Article in En | MEDLINE | ID: mdl-37496978
Acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) are lung complications diagnosed by impaired gaseous exchanges leading to mortality. From the diverse etiologies, sepsis is a prominent contributor to ALI/ARDS. In the present study, we retrieved sepsis-induced ARDS mRNA expression profile and identified 883 differentially expressed genes (DEGs). Next, we established an ARDS-specific weighted gene co-expression network (WGCN) and picked the blue module as our hub module based on highly correlated network properties. Later we subjected all hub module DEGs to form an ARDS-specific 3-node feed-forward loop (FFL) whose highest-order subnetwork motif revealed one TF (STAT6), one miRNA (miR-34a-5p), and one mRNA (TLR6). Thereafter, we screened a natural product library and identified three lead molecules that showed promising binding affinity against TLR6. We then performed molecular dynamics simulations to evaluate the stability and binding free energy of the TLR6-lead molecule complexes. Our results suggest these lead molecules may be potential therapeutic candidates for treating sepsis-induced ALI/ARDS. In-silico studies on clinical datasets for sepsis-induced ARDS indicate a possible positive interaction between miR-34a and TLR6 and an antagonizing effect on STAT6 to promote inflammation. Also, the translational study on septic mice lungs by IHC staining reveals a hike in the expression of TLR6. We report here that miR-34a actively augments the effect of sepsis on lung epithelial cell apoptosis. This study suggests that miR-34a promotes TLR6 to heighten inflammation in sepsis-induced ALI/ARDS. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-023-03700-1.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: 3 Biotech Year: 2023 Document type: Article Country of publication: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: 3 Biotech Year: 2023 Document type: Article Country of publication: Germany