Skip to content

First Step in a PhD: Peripheral Blood Genomics

After graduating from medical school last year, I started PhD in the field of clinical genomics in October of 2009. My first paper (Peripheral blood gene expression patterns discriminate among chronic inflammatory diseases and healthy controls and identify novel targets) just came out in BMC Medical Genomics. Publishing our results in an open access journal was a real priority for me. The provisional pdf is now available. The hardest task was to visualize the findings.

Your comments, as always, are most welcome!


Chronic inflammatory diseases including inflammatory bowel disease (IBD; Crohn’s disease and ulcerative colitis), psoriasis and rheumatoid arthritis (RA) afflict millions of people worldwide, but their pathogenesis is still not well understood. It is also not well known if distinct changes in gene expression characterize these diseases and if these patterns can discriminate between diseased and control patients and/or stratify the disease. The main focus of our work was the identification of novel markers that overlap among the 3 diseases or discriminate them from each other.


Diseased (n=13, n=15 and n=12 in IBD, psoriasis and RA respectively) and healthy patients (n=18) were recruited based on strict inclusion and exclusion criteria; peripheral blood samples were collected by clinicians (30 ml) in Venous Blood Vacuum Collection Tubes containing EDTA and peripheral blood mononuclear cells were separated by Ficoll gradient centrifugation. RNA was extracted using Trizol reagent. Gene expression data was obtained using TaqMan Low Density Array (TLDA) containing 96 genes that were selected by an algorithm and the statistical analyses were performed in Prism by using non-parametric Mann-Whitney U test (P-values < 0.05).


Here we show that using a panel of 96 disease associated genes and measuring mRNA expression levels in peripheral blood derived mononuclear cells; we could identify disease-specific gene panels that separate each disease from healthy controls. In addition, a panel of five genes such as ADM, AQP9, CXCL2, IL10 and NAMPT discriminates between all samples from patients with chronic inflammation and healthy controls. We also found genes that stratify the diseases and separate different subtypes or different states of prognosis in each condition.


These findings and the identification of five universal markers of chronic inflammation suggest that these diseases have a common background in pathomechanism, but still can be separated by peripheral blood gene expression. Importantly, the identified genes can be associated with overlapping biological processes including changed inflammatory response. Gene panels based on such markers can play a major role in the development of personalized medicine, in monitoring disease progression and can lead to the identification of new potential drug targets in chronic inflammation.

12 Comments Post a comment
  1. Berci that’s great news, some very interesting work going on in particular in the UK with the rheumatoid subset, good to see you getting published in BMC. If you can find the genes behind the key pro-inflammatory cytokine release in rheumatoid, you’ve probably got the same ones for psoriatic arthritis, and then you’re talking some serious personalised medicine. I spend most my mornings weighing up IL6 therapy and anti TNF, and these things can be expensive….

    May 10, 2010
    • Thank you, James! That’s exactly the way we are walking on. From describing diseases towards predicting responsiveness to expensive therapies.

      May 19, 2010
  2. Andras Szekely #

    Great stuff! I will read the paper as soon as I can print it.

    May 17, 2010

Trackbacks & Pingbacks

  1. BioLit: Open-access articles in a semantic database « ScienceRoll
  2. BioLit: Open-access articles in a semantic database | Science Report | Biology News, Economics News, Computer Science News, Mathematics News, Physics News, Psychology News
  3. How Science 2.0 and Open Access Really Work « ScienceRoll
  4. Science 2.0 | Blog | How to boost your publications - a Science 2.0 story.
  5. QuizMD: Medical school e-learning « ScienceRoll
  6. The illustrated guide to a Ph.D. « ScienceRoll
  7. The Ph.D. Illustrated - Better Health
  8. 2010 on Scienceroll in Numbers and Posts « ScienceRoll

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s


Get every new post delivered to your Inbox.

Join 60,997 other followers

%d bloggers like this: