Literature DB >> 33565964

Perinatal granulopoiesis and risk of pediatric asthma.

Benjamin A Turturice1,2, Juliana Theorell2, Mary Dawn Koenig3, Lisa Tussing-Humphreys4, Diane R Gold5,6, Augusto A Litonjua7, Emily Oken8, Sheryl L Rifas-Shiman8, David L Perkins9,10, Patricia W Finn1,2,10.   

Abstract

There are perinatal characteristics, such as gestational age, reproducibly associated with the risk for pediatric asthma. Identification of biologic processes influenced by these characteristics could facilitate risk stratification or new therapeutic targets. We hypothesized that transcriptional changes associated with multiple epidemiologic risk factors would be mediators of pediatric asthma risk. Using publicly available transcriptomic data from cord blood mononuclear cells, transcription of genes involved in myeloid differentiation was observed to be inversely associated with a pediatric asthma risk stratification based on multiple perinatal risk factors. This gene signature was validated in an independent prospective cohort and was specifically associated with genes localizing to neutrophil-specific granules. Further validation demonstrated that umbilical cord blood serum concentration of PGLYRP-1, a specific granule protein, was inversely associated with mid-childhood current asthma and early-teen FEV1/FVCx100. Thus, neutrophil-specific granule abundance at birth predicts risk for pediatric asthma and pulmonary function in adolescence.
© 2021, Turturice et al.

Entities:  

Keywords:  allergy; asthma; fetal blood; granulocytes; human; immunology; inflammation; medicine; peptidoglycan recognition protein; risk factor

Mesh:

Year:  2021        PMID: 33565964      PMCID: PMC7889076          DOI: 10.7554/eLife.63745

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  72 in total

1.  Cord blood cytokines and acute lower respiratory illnesses in the first year of life.

Authors:  Ngoc P Ly; Sheryl L Rifas-Shiman; Augusto A Litonjua; Arthur O Tzianabos; Bianca Schaub; Begoña Ruiz-Pérez; Kelan G Tantisira; Patricia W Finn; Matthew W Gillman; Scott T Weiss; Diane R Gold
Journal:  Pediatrics       Date:  2006-12-04       Impact factor: 7.124

2.  A comprehensive study of umbilical cord blood cell developmental changes and reference ranges by gestation, gender and mode of delivery.

Authors:  L Glasser; N Sutton; M Schmeling; J T Machan
Journal:  J Perinatol       Date:  2015-01-29       Impact factor: 2.521

3.  DNA methylation in childhood asthma: an epigenome-wide meta-analysis.

Authors:  Cheng-Jian Xu; Cilla Söderhäll; Mariona Bustamante; Nour Baïz; Olena Gruzieva; Ulrike Gehring; Dan Mason; Leda Chatzi; Mikel Basterrechea; Sabrina Llop; Maties Torrent; Francesco Forastiere; Maria Pia Fantini; Karin C Lødrup Carlsen; Tari Haahtela; Andréanne Morin; Marjan Kerkhof; Simon Kebede Merid; Bianca van Rijkom; Soesma A Jankipersadsing; Marc Jan Bonder; Stephane Ballereau; Cornelis J Vermeulen; Raul Aguirre-Gamboa; Johan C de Jongste; Henriette A Smit; Ashish Kumar; Göran Pershagen; Stefano Guerra; Judith Garcia-Aymerich; Dario Greco; Lovisa Reinius; Rosemary R C McEachan; Raf Azad; Vegard Hovland; Petter Mowinckel; Harri Alenius; Nanna Fyhrquist; Nathanaël Lemonnier; Johann Pellet; Charles Auffray; Pieter van der Vlies; Cleo C van Diemen; Yang Li; Cisca Wijmenga; Mihai G Netea; Miriam F Moffatt; William O C M Cookson; Josep M Anto; Jean Bousquet; Tiina Laatikainen; Catherine Laprise; Kai-Håkon Carlsen; Davide Gori; Daniela Porta; Carmen Iñiguez; Jose Ramon Bilbao; Manolis Kogevinas; John Wright; Bert Brunekreef; Juha Kere; Martijn C Nawijn; Isabella Annesi-Maesano; Jordi Sunyer; Erik Melén; Gerard H Koppelman
Journal:  Lancet Respir Med       Date:  2018-02-26       Impact factor: 30.700

4.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

5.  Human peptidoglycan recognition proteins require zinc to kill both gram-positive and gram-negative bacteria and are synergistic with antibacterial peptides.

Authors:  Minhui Wang; Li-Hui Liu; Shiyong Wang; Xinna Li; Xiaofeng Lu; Dipika Gupta; Roman Dziarski
Journal:  J Immunol       Date:  2007-03-01       Impact factor: 5.422

6.  Prenatal arsenic exposure and the epigenome: altered microRNAs associated with innate and adaptive immune signaling in newborn cord blood.

Authors:  Julia E Rager; Kathryn A Bailey; Lisa Smeester; Sloane K Miller; Joel S Parker; Jessica E Laine; Zuzana Drobná; Jenna Currier; Christelle Douillet; Andrew F Olshan; Marisela Rubio-Andrade; Miroslav Stýblo; Gonzalo García-Vargas; Rebecca C Fry
Journal:  Environ Mol Mutagen       Date:  2013-12-10       Impact factor: 3.216

7.  Six-Year Follow-up of a Trial of Antenatal Vitamin D for Asthma Reduction.

Authors:  Augusto A Litonjua; Vincent J Carey; Nancy Laranjo; Benjamin J Stubbs; Hooman Mirzakhani; George T O'Connor; Megan Sandel; Avraham Beigelman; Leonard B Bacharier; Robert S Zeiger; Michael Schatz; Bruce W Hollis; Scott T Weiss
Journal:  N Engl J Med       Date:  2020-02-06       Impact factor: 91.245

8.  Peptidoglycan recognition proteins kill bacteria by activating protein-sensing two-component systems.

Authors:  Des Raj Kashyap; Minhui Wang; Li-Hui Liu; Geert-Jan Boons; Dipika Gupta; Roman Dziarski
Journal:  Nat Med       Date:  2011-05-22       Impact factor: 53.440

Review 9.  The peptidoglycan recognition proteins (PGRPs).

Authors:  Roman Dziarski; Dipika Gupta
Journal:  Genome Biol       Date:  2006       Impact factor: 13.583

10.  Stereotypic Immune System Development in Newborn Children.

Authors:  Axel Olin; Ewa Henckel; Yang Chen; Tadepally Lakshmikanth; Christian Pou; Jaromir Mikes; Anna Gustafsson; Anna Karin Bernhardsson; Cheng Zhang; Kajsa Bohlin; Petter Brodin
Journal:  Cell       Date:  2018-08-23       Impact factor: 41.582

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