Surfactant protein A and surfactant protein D variation in pulmonary disease

Sørensen, Grith Lykke; Husby, Steffen; Holmskov, Uffe

doi:10.1016/j.imbio.2007.01.003

Cited by 139 publications

(126 citation statements)

References 379 publications

(392 reference statements)

Supporting

Mentioning

117

Contrasting

Unclassified

Order By: Relevance

“…Using TNF-a as an example, the network analysis showed that in addition to proinflammatory proteins, TNF-a interacted with bacterial opsonins (complement proteins, SFTPA), mediators of apoptosis (annexin A5, annexin A1), and proteins involved in lung repair (EGFR) (30)(31)(32). This suggests that TNF-a modulates pathways involved in innate immunity and repair in the lungs, in addition to inflammation.…”

Section: Discussionmentioning

confidence: 99%

Proteomic and Computational Analysis of Bronchoalveolar Proteins during the Course of the Acute Respiratory Distress Syndrome

Chang¹,

Hayashi²,

Gharib³

et al. 2008

Am J Respir Crit Care Med

View full text Add to dashboard Cite

Rationale: Acute lung injury causes complex changes in protein expression in the lungs. Whereas most prior studies focused on single proteins, newer methods allowing the simultaneous study of many proteins could lead to a better understanding of pathogenesis and new targets for treatment. Objectives: The purpose of this study was to examine the changes in protein expression in the bronchoalveolar lavage fluid (BALF) of patients during the course of the acute respiratory distress syndrome (ARDS). Methods: Using two-dimensional difference gel electrophoresis (DIGE), the expression of proteins in the BALF from patients on Days 1 (n 5 7), 3 (n 5 8), and 7 (n 5 5) of ARDS were compared with findings in normal volunteers (n 5 9). The patterns of protein expression were analyzed using principal component analysis (PCA). Biological processes that were enriched in the BALF proteins of patients with ARDS were identified using Gene Ontology (GO) analysis. Protein networks that model the protein interactions in the BALF were generated using Ingenuity Pathway Analysis. Measurements and Main Results: An average of 991 protein spots were detected using DIGE. Of these, 80 protein spots, representing 37 unique proteins in all of the fluids, were identified using mass spectrometry. PCA confirmed important differences between the proteins in the ARDS and normal samples. GO analysis showed that these differences are due to the enrichment of proteins involved in inflammation, infection, and injury. The protein network analysis showed that the protein interactions in ARDS are complex and redundant, and revealed unexpected central components in the protein networks. Conclusions: Proteomics and protein network analysis reveals the complex nature of lung protein interactions in ARDS. The results provide new insights about protein networks in injured lungs, and identify novel mediators that are likely to be involved in the pathogenesis and progression of acute lung injury.

show abstract

Section: Discussionmentioning

confidence: 99%

Proteomic and Computational Analysis of Bronchoalveolar Proteins during the Course of the Acute Respiratory Distress Syndrome

Chang¹,

Hayashi²,

Gharib³

et al. 2008

Am J Respir Crit Care Med

View full text Add to dashboard Cite

show abstract

“…SP-D is secreted as an acute phase reactant, especially in the presence of infectious agents; it plays a role in host defense mechanisms via adhesion to micro-organisms due to its hydrophilic nature (6,7), is important in aggregation, neutralization, and opsonization during phagocytosis, results in direct gram-negative bacterial cell-membrane lysis, inhibiting bacterial/fungal growth in macrophages, and has a aggregation-independent manner (7,13). Therefore, SP-D is an important biomarker of infectious pulmonary diseases.…”

Section: Discussionmentioning

confidence: 99%

Can Serum Surfactant Protein D Levels be used as an Effective Factor Instead of Clinical Severity Scores of Pneumonia in Pediatric Emergency Departments?

Açıkgöz¹,

Güzel²,

Şişman³

et al. 2016

EAJEM

View full text Add to dashboard Cite

“…Исследования показали, что SP-А и SP-D влияют на восприимчивость к инфекционным заболева-ниям. Так, повышенные уровни SP-А и SP-D у новорожденных предполагают повышенную восприимчивость к инфекциям [33].…”

Section: терапевтический архив 1 2015unclassified

“…Установлено, что уровни SP-А и SP-D увеличивались в сыворот-ке крови пациентов при ИФЛ, коррелировали с различными сте-пенями активности этого заболевания [33].…”

Section: терапевтический архив 1 2015unclassified

“…Уровень SP-А в БАЛЖ снижен у пациентов с ОРДС, SP-D снижен у больных, умерших от ОРДС. У больных с ОРДС наблюдался повышенный уровень обоих белков в сыво-ротке крови, однако SP-D оказался более надежным биомарке-ром заболевания [33].…”

Section: терапевтический архив 1 2015unclassified

See 1 more Smart Citation