13 research outputs found
The role of vascular endothelial growth factor (VEGF) in repair and recovery from acute respiratory distress syndrome (ARDS)
Acute Respiratory Distress Syndrome (ARDS) is the most extreme form of acute
lung injury and continues to have a significant morbidity and mortality.
Unfortunately, the mechanisms involved in the recovery and repair of the lung
following ARDS remain poorly understood. An understanding of these is pivotal to
improving outcome from acute lung injury. Several observational studies have
suggested a potential relationship between Vascular Endothelial Growth Factor
(VEGF) in the lung and the development/outcome of ARDS. In this thesis, three potential mechanisms underlying these observations have been explored:
1. What is the anatomical distribution of VEGF receptor and isoform expression in
normal and ARDS lung? How does this change at early and later time points
following acute lung injury?
2. Are human type 2 alveolar epithelial (ATII) cells a source of and target for
VEGF? How does exposure to a pro-inflammatory milieu modify their
expression of VEGF isoforms and receptors?
3. Is there a relationship between a functional VEGF polymorphism and
susceptibility to developing and severity of ARDS?
I have demonstrated VEGF receptor expression on both sides of the alveolarcapillary
membrane with upregulation in later ARDS. All three principal isoforms
(VEGF121, VEGF165 and VEGF189) are expressed in normal human lung with uniform
downregulation of all three in early ARDS, which normalises with increasing time
following injury. I have not found any evidence of VEGF isoform switching.
I have also demonstrated human ATII cells are both a significant cellular source of
and a target for VEGF (via VEGF receptor expression) confirming autocrine VEGF
activity in the lung. VEGF is an ATII cell survival factor. ATII cells differentially
respond to pro-inflammatory stimuli by increasing VEGF isoform but not receptor
expression, which may serve as a regulatory control mechanism.
Finally, I have demonstrated the VEGF 936 T allele increases susceptibility to and
the severity of lung injury. The T allele is associated with an increase in plasma
VEGF level in ARDS patients but intra-alveolar levels are unaffected
A prospective study to evaluate a diagnostic algorithm for the use of fluid lymphocyte subset analysis in undiagnosed unilateral pleural effusions
<b><i>Background:</i></b> Haematological malignancy is an important cause of pleural effusion. Pleural effusions secondary to haematological malignancy are usually lymphocyte predominant. However, several other conditions such as carcinoma, tuberculosis, and chronic heart failure also cause lymphocytic effusions. Lymphocyte subset (LS) analysis may be a useful test to identify haematological malignancy in patients with lymphocytic effusions. However, research into their utility in pleural effusion diagnostic algorithms has not yet been published. <b><i>Objectives:</i></b> We aimed to determine the clinical utility of pleural fluid LS analysis and whether it can be applied to a diagnostic algorithm to identify effusions secondary to haematological malignancy. The secondary aim was to evaluate the diagnostic value of pleural fluid differential cell count. <b><i>Methods:</i></b> Consecutive consenting patients presenting to our pleural service between 2008 and 2013 underwent thoracentesis and differential cell count analysis. We proposed an algorithm which selected patients with lymphocytic effusions (>50%) to have further fluid sent for LS analysis. Two independent consultants agreed on the cause of the original effusion after a 12-month follow-up period. <b><i>Results:</i></b> A total of 60 patients had samples sent for LS analysis. LS analysis had an 80% sensitivity (8/10) and a 100% specificity for the diagnosis of haematological malignancy. The positive and negative predictive values were 100 and 96.1%, respectively. Overall 344 differential cell counts were analysed; 16% of pleural effusions with a malignant aetiology were neutrophilic or eosinophilic at presentation. A higher neutrophil and eosinophil count was associated with benign diagnoses, whereas a higher lymphocyte count was associated with malignant diagnoses. <b><i>Conclusions:</i></b> LS analysis may identify haematological malignancy in a specific cohort of patients with undiagnosed pleural effusions. A pleural fluid differential cell count provides useful additional information to streamline patient pathway decisions.</jats:p