OBJECTIVE: Inappropriate transcriptional activation of innate immunity is a pathological feature of several cardiometabolic disorders, but little is known about inflammatory modulation of long intergenic noncoding RNAs (lincRNAs) in disease-relevant human tissues. APPROACH AND RESULTS: We applied deep RNA sequencing (>500 million filtered reads per sample) to blood and adipose during low-dose experimental endotoxemia (lipopolysaccharide) in a healthy human, with targeted replication in separate individuals undergoing endotoxemia (n=6), to identify inflammatory lincRNAs. A subset of these lincRNAs was examined for expression in adipocytes and monocytes, modulation in adipose of obese humans, and overlap with genome-wide association study signals for inflammatory and cardiometabolic traits. Of a stringent set of 4284 lincRNAs, ≈11% to 22% were expressed with 201 and 56 lincRNAs modulated by lipopolysaccharide in blood or adipose, respectively. Tissue-specific expression of a subset of 6 lipopolysaccharide-lincRNAs was replicated with lipopolysaccharide modulation confirmed for all 3 expressed in blood and 2 of 4 expressed in adipose. The broader generalizability of findings in blood of subject A was confirmed by RNA sequencing in 7 additional subjects. We confirmed adipocytes and monocytes as potential cell-sources of selective lipopolysaccharide-regulated lincRNAs, and 2 of these, linc-DMRT2 (P=0.002) and linc-TP53I13 (P=0.01), were suppressed in adipose of obese humans. Finally, we provide examples of lipopolysaccharide-modulated lincRNAs that overlap single nucleotide polymorphisms that are associated with cardiometabolic traits. CONCLUSIONS: Our findings provide novel insights into tissue-level, inflammatory transcriptome regulation in cardiometabolic diseases. These are complementary to more usual approaches limited to interrogation of DNA variations.
OBJECTIVE: Inappropriate transcriptional activation of innate immunity is a pathological feature of several cardiometabolic disorders, but little is known about inflammatory modulation of long intergenic noncoding RNAs (lincRNAs) in disease-relevant human tissues. APPROACH AND RESULTS: We applied deep RNA sequencing (>500 million filtered reads per sample) to blood and adipose during low-dose experimental endotoxemia (lipopolysaccharide) in a healthy human, with targeted replication in separate individuals undergoing endotoxemia (n=6), to identify inflammatory lincRNAs. A subset of these lincRNAs was examined for expression in adipocytes and monocytes, modulation in adipose of obesehumans, and overlap with genome-wide association study signals for inflammatory and cardiometabolic traits. Of a stringent set of 4284 lincRNAs, ≈11% to 22% were expressed with 201 and 56 lincRNAs modulated by lipopolysaccharide in blood or adipose, respectively. Tissue-specific expression of a subset of 6 lipopolysaccharide-lincRNAs was replicated with lipopolysaccharide modulation confirmed for all 3 expressed in blood and 2 of 4 expressed in adipose. The broader generalizability of findings in blood of subject A was confirmed by RNA sequencing in 7 additional subjects. We confirmed adipocytes and monocytes as potential cell-sources of selective lipopolysaccharide-regulated lincRNAs, and 2 of these, linc-DMRT2 (P=0.002) and linc-TP53I13 (P=0.01), were suppressed in adipose of obesehumans. Finally, we provide examples of lipopolysaccharide-modulated lincRNAs that overlap single nucleotide polymorphisms that are associated with cardiometabolic traits. CONCLUSIONS: Our findings provide novel insights into tissue-level, inflammatory transcriptome regulation in cardiometabolic diseases. These are complementary to more usual approaches limited to interrogation of DNA variations.
Authors: Moran N Cabili; Cole Trapnell; Loyal Goff; Magdalena Koziol; Barbara Tazon-Vega; Aviv Regev; John L Rinn Journal: Genes Dev Date: 2011-09-02 Impact factor: 11.361
Authors: Jian Yang; Teri A Manolio; Louis R Pasquale; Eric Boerwinkle; Neil Caporaso; Julie M Cunningham; Mariza de Andrade; Bjarke Feenstra; Eleanor Feingold; M Geoffrey Hayes; William G Hill; Maria Teresa Landi; Alvaro Alonso; Guillaume Lettre; Peng Lin; Hua Ling; William Lowe; Rasika A Mathias; Mads Melbye; Elizabeth Pugh; Marilyn C Cornelis; Bruce S Weir; Michael E Goddard; Peter M Visscher Journal: Nat Genet Date: 2011-05-08 Impact factor: 38.330
Authors: Yichuan Liu; Jane F Ferguson; Chenyi Xue; Ian M Silverman; Brian Gregory; Muredach P Reilly; Mingyao Li Journal: PLoS One Date: 2013-06-24 Impact factor: 3.240
Authors: Thomas Derrien; Rory Johnson; Giovanni Bussotti; Andrea Tanzer; Sarah Djebali; Hagen Tilgner; Gregory Guernec; David Martin; Angelika Merkel; David G Knowles; Julien Lagarde; Lavanya Veeravalli; Xiaoan Ruan; Yijun Ruan; Timo Lassmann; Piero Carninci; James B Brown; Leonard Lipovich; Jose M Gonzalez; Mark Thomas; Carrie A Davis; Ramin Shiekhattar; Thomas R Gingeras; Tim J Hubbard; Cedric Notredame; Jennifer Harrow; Roderic Guigó Journal: Genome Res Date: 2012-09 Impact factor: 9.043
Authors: Nehal N Mehta; Fiona C McGillicuddy; Paul D Anderson; Christine C Hinkle; Rachana Shah; Leticia Pruscino; Jennifer Tabita-Martinez; Kim F Sellers; Michael R Rickels; Muredach P Reilly Journal: Diabetes Date: 2009-09-30 Impact factor: 9.461
Authors: Jane F Ferguson; Parth N Patel; Rhia Y Shah; Claire K Mulvey; Ram Gadi; Prabhjot S Nijjar; Haris M Usman; Nehal N Mehta; Rachana Shah; Stephen R Master; Kathleen J Propert; Muredach P Reilly Journal: J Transl Med Date: 2013-03-12 Impact factor: 5.531
Authors: Hanrui Zhang; Chenyi Xue; Rhia Shah; Kate Bermingham; Christine C Hinkle; Wenjun Li; Amrith Rodrigues; Jennifer Tabita-Martinez; John S Millar; Marina Cuchel; Evanthia E Pashos; Ying Liu; Ruilan Yan; Wenli Yang; Sager J Gosai; Daniel VanDorn; Stella T Chou; Brian D Gregory; Edward E Morrisey; Mingyao Li; Daniel J Rader; Muredach P Reilly Journal: Circ Res Date: 2015-04-22 Impact factor: 17.367
Authors: Rachel L Ballantyne; Xuan Zhang; Sara Nuñez; Chenyi Xue; Wei Zhao; Eric Reed; Danish Salaheen; Andrea S Foulkes; Mingyao Li; Muredach P Reilly Journal: Hum Mol Genet Date: 2016-06-10 Impact factor: 6.150
Authors: Xuan Zhang; Chenyi Xue; Jennie Lin; Jane F Ferguson; Amber Weiner; Wen Liu; Yumiao Han; Christine Hinkle; Wenjun Li; Hongfeng Jiang; Sager Gosai; Melanie Hachet; Benjamin A Garcia; Brian D Gregory; Raymond E Soccio; John B Hogenesch; Patrick Seale; Mingyao Li; Muredach P Reilly Journal: Sci Transl Med Date: 2018-06-20 Impact factor: 17.956