Literature DB >> 21968536

Functional adaptations of the transcriptome to mastitis-causing pathogens: the mammary gland and beyond.

Juan J Loor1, Kasey M Moyes, Massimo Bionaz.   

Abstract

Application of microarrays to the study of intramammary infections in recent years has provided a wealth of fundamental information on the transcriptomics adaptation of tissue/cells to the disease. Due to its heavy toll on productivity and health of the animal, in vivo and in vitro transcriptomics works involving different mastitis-causing pathogens have been conducted on the mammary gland, primarily on livestock species such as cow and sheep, with few studies in non-ruminants. However, the response to an infectious challenge originating in the mammary gland elicits systemic responses in the animal and encompasses tissues such as liver and immune cells in the circulation, with also potential effects on other tissues such as adipose. The susceptibility of the animal to develop mastitis likely is affected by factors beyond the mammary gland, e.g. negative energy balance as it occurs around parturition. Objectives of this review are to discuss the use of systems biology concepts for the holistic study of animal responses to intramammary infection; providing an update of recent work using transcriptomics to study mammary and peripheral tissue (i.e. liver) as well as neutrophils and macrophage responses to mastitis-causing pathogens; discuss the effect of negative energy balance on mastitis predisposition; and analyze the bovine and murine mammary innate-immune responses during lactation and involution using a novel functional analysis approach to uncover potential predisposing factors to mastitis throughout an animal's productive life.

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Mesh:

Year:  2011        PMID: 21968536     DOI: 10.1007/s10911-011-9232-2

Source DB:  PubMed          Journal:  J Mammary Gland Biol Neoplasia        ISSN: 1083-3021            Impact factor:   2.673


  103 in total

Review 1.  Toll-like receptors in the induction of the innate immune response.

Authors:  A Aderem; R J Ulevitch
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

Review 2.  The bovine neutrophil: Structure and function in blood and milk.

Authors:  Max J Paape; Douglas D Bannerman; Xin Zhao; Jai-Wei Lee
Journal:  Vet Res       Date:  2003 Sep-Oct       Impact factor: 3.683

3.  Anaphylatoxin C5a-induced toll-like receptor 4 signaling in bovine neutrophils.

Authors:  M G H Stevens; M Van Poucke; L J Peelman; P Rainard; B De Spiegeleer; C Rogiers; G R Van de Walle; L Duchateau; C Burvenich
Journal:  J Dairy Sci       Date:  2011-01       Impact factor: 4.034

Review 4.  Understanding the parts in terms of the whole.

Authors:  Athel Cornish-Bowden; María Luz Cárdenas; Juan-Carlos Letelier; Jorge Soto-Andrade; Flavio Guíñez Abarzúa
Journal:  Biol Cell       Date:  2004-12       Impact factor: 4.458

Review 5.  Visualizing genomes: techniques and challenges.

Authors:  Cydney B Nielsen; Michael Cantor; Inna Dubchak; David Gordon; Ting Wang
Journal:  Nat Methods       Date:  2010-02-25       Impact factor: 28.547

6.  Incidence of clinical mastitis in dairy herds grouped in three categories by bulk milk somatic cell counts.

Authors:  H W Barkema; Y H Schukken; T J Lam; M L Beiboer; H Wilmink; G Benedictus; A Brand
Journal:  J Dairy Sci       Date:  1998-02       Impact factor: 4.034

Review 7.  Severity of E. coli mastitis is mainly determined by cow factors.

Authors:  Christian Burvenich; Valérie Van Merris; Jalil Mehrzad; Araceli Diez-Fraile; Luc Duchateau
Journal:  Vet Res       Date:  2003 Sep-Oct       Impact factor: 3.683

8.  Bacterial lipopolysaccharide stimulates bovine neutrophil production of TNF-alpha, IL-1beta, IL-12 and IFN-gamma.

Authors:  Eun J Sohn; Max J Paape; Erin E Connor; Douglas D Bannerman; Raymond H Fetterer; Robert R Peters
Journal:  Vet Res       Date:  2007-08-31       Impact factor: 3.683

9.  Bovine TLR2 and TLR4 properly transduce signals from Staphylococcus aureus and E. coli, but S. aureus fails to both activate NF-kappaB in mammary epithelial cells and to quickly induce TNFalpha and interleukin-8 (CXCL8) expression in the udder.

Authors:  Wei Yang; Holm Zerbe; Wolfram Petzl; Ronald Marco Brunner; Juliane Günther; Christian Draing; Sonja von Aulock; Hans-Joachim Schuberth; Hans-Martin Seyfert
Journal:  Mol Immunol       Date:  2007-10-22       Impact factor: 4.407

10.  Gene network and pathway analysis of bovine mammary tissue challenged with Streptococcus uberis reveals induction of cell proliferation and inhibition of PPARgamma signaling as potential mechanism for the negative relationships between immune response and lipid metabolism.

Authors:  Kasey M Moyes; James K Drackley; Dawn E Morin; Massimo Bionaz; Sandra L Rodriguez-Zas; Robin E Everts; Harris A Lewin; Juan J Loor
Journal:  BMC Genomics       Date:  2009-11-19       Impact factor: 3.969

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  25 in total

1.  Local Heat Treatment of Goat Udders Influences Innate Immune Functions in Mammary Glands.

Authors:  Yusaku Tsugami; Yuki Ishiba; Naoki Suzuki; Takahiro Nii; Ken Kobayashi; Naoki Isobe
Journal:  J Mammary Gland Biol Neoplasia       Date:  2022-01-11       Impact factor: 2.673

2.  Lycium barbarum polysaccharides alleviate LPS-induced inflammatory responses through PPARγ/MAPK/NF-κB pathway in bovine mammary epithelial cells.

Authors:  Tianle Xu; Run Liu; Xubin Lu; Xinyue Wu; Petr Heneberg; Yongjiang Mao; Qianming Jiang; Juan Loor; Zhangping Yang
Journal:  J Anim Sci       Date:  2022-01-01       Impact factor: 3.159

3.  Old and new stories: revelations from functional analysis of the bovine mammary transcriptome during the lactation cycle.

Authors:  Massimo Bionaz; Kathiravan Periasamy; Sandra L Rodriguez-Zas; Robin E Everts; Harris A Lewin; Walter L Hurley; Juan J Loor
Journal:  PLoS One       Date:  2012-03-12       Impact factor: 3.240

4.  iTRAQ-proteomics and bioinformatics analyses of mammary tissue from cows with clinical mastitis due to natural infection with Staphylococci aureus.

Authors:  Jinming Huang; Guojing Luo; Zijing Zhang; Xiuge Wang; Zhihua Ju; Chao Qi; Yan Zhang; Changfa Wang; Rongling Li; Jianbin Li; Weijun Yin; Yinxue Xu; Sonia J Moisá; Juan J Loor; Jifeng Zhong
Journal:  BMC Genomics       Date:  2014-10-02       Impact factor: 3.969

5.  Altered molecular expression of the TLR4/NF-κB signaling pathway in mammary tissue of Chinese Holstein cattle with mastitis.

Authors:  Jie Wu; Lian Li; Yu Sun; Shuai Huang; Juan Tang; Pan Yu; Genlin Wang
Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

6.  Application of Top-Down and Bottom-up Systems Approaches in Ruminant Physiology and Metabolism.

Authors:  Khuram Shahzad; Juan J Loor
Journal:  Curr Genomics       Date:  2012-08       Impact factor: 2.236

7.  Functional Role of PPARs in Ruminants: Potential Targets for Fine-Tuning Metabolism during Growth and Lactation.

Authors:  Massimo Bionaz; Shuowen Chen; Muhammad J Khan; Juan J Loor
Journal:  PPAR Res       Date:  2013-04-29       Impact factor: 4.964

8.  Escherichia coli- and Staphylococcus aureus-induced mastitis differentially modulate transcriptional responses in neighbouring uninfected bovine mammary gland quarters.

Authors:  Kirsty Jensen; Juliane Günther; Richard Talbot; Wolfram Petzl; Holm Zerbe; Hans-Joachim Schuberth; Hans-Martin Seyfert; Elizabeth J Glass
Journal:  BMC Genomics       Date:  2013-01-16       Impact factor: 3.969

9.  Postpartal subclinical endometritis alters transcriptome profiles in liver and adipose tissue of dairy cows.

Authors:  Haji Akbar; Felipe C Cardoso; Susanne Meier; Christopher Burke; Scott McDougall; Murray Mitchell; Caroline Walker; Sandra L Rodriguez-Zas; Robin E Everts; Harris A Lewin; John R Roche; Juan J Loor
Journal:  Bioinform Biol Insights       Date:  2014-02-19

10.  Integrative analyses of hepatic differentially expressed genes and blood biomarkers during the peripartal period between dairy cows overfed or restricted-fed energy prepartum.

Authors:  Khuram Shahzad; Massimo Bionaz; Erminio Trevisi; Giuseppe Bertoni; Sandra L Rodriguez-Zas; Juan J Loor
Journal:  PLoS One       Date:  2014-06-10       Impact factor: 3.240

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