Apolipoprotein A-I as a candidate serum marker for the response to lithium treatment in bipolar disorder.

The molecular basis of bipolar disorder (BD) is still unknown as is the mechanism through which lithium, the therapy of choice, exerts its effects in treatment of BD. So far, no biomarkers exist to facilitate diagnosis of BD or treatment evaluation. To investigate whether BD and its treatment with lithium leaves a characteristic signature in the serum proteome, we used SELDI-TOF MS to analyze individual serum samples from BD patients treated with lithium (BD-plus-Li, n=15) or other drugs (BD-minus-Li, n=10) and from healthy controls (n=15). Interestingly, features of 28 kDa (one peak) and 14 kDa (three peaks) showed a decreased level in the BD-minus-Li group and a level restored to that of the control group in the BD-plus-Li group. To reveal the identity of these features, we subjected pooled serum samples from both BD groups to the 2-D DIGE technology and identified 28 kDa apolipoprotein A-I (apo A-I) and three 14 kDa fragments thereof as upregulated in the BD-plus-Li group. Immunoturbidimetry, a routine clinical assay, verified the characteristic apo A-I signature in individual serum samples. In conclusion, we propose apo A-I as a candidate marker that can visualize response to lithium treatment at the serum protein level.

In vitro determination of the allergenic potential of technologically altered hen's egg.

Hen's egg allergy represents one of the most common and severe IgE-mediated reactions to food in infants and young children. It persists, however, in many cases also lifelong. Therefore, the aim of this study was the detailed analysis of a technological process used to reduce the allergenic potential of hen's egg. The investigation focused on the pasteurized egg as starting material, intermediate, and final products of a nine-step manufacturing process performed for use of eggs in convenience products appropriate for allergic individuals. The steps consisted of a combination of various heat treatments and enzymatic hydrolyses. The alterations were controlled by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), immunoblotting, enzyme allergosorbent test (EAST) inhibition, and mass spectrometry. Thereby it could be demonstrated that the allergenic potential of the raw material was reduced from step to step, and despite the known stability against heat and proteolysis of certain egg proteins, the total allergenic potential was finally below 1/100 that of the starting material without a significant change in texture and flavor as evaluated in various products.

Technical innovations for the automated identification of gel-separated proteins by MALDI-TOF mass spectrometry.

The combination of gel-based two-dimensional protein separations with protein identification by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) is the workhorse for the large-scale analyses of proteomes. Such high-throughput proteomic approaches require automation of all post-separation steps and the in-gel digest of proteins especially is often the bottleneck in the protein identification workflow. With the objective of reaching the same high performance of manual low-throughput in-gel digest procedures, we have developed a novel stack-type digestion device and implemented it into a commercially available robotic liquid handling system. This modified system is capable of performing in-gel digest, extraction of proteolytic peptides, and subsequent sample preparation for MALDI-MS without any manual intervention, but with a performance at least identical to manual procedures as indicated on the basis of the sequence coverage obtained by peptide mass fingerprinting. For further refinement of the automated protein identification workflow, we have also developed a motor-operated matrix application device to reproducibly obtain homogenous matrix preparation of high quality. This matrix preparation was found to be suitable for the automated acquisition of both peptide mass fingerprint and fragment ion spectra from the same sample spot, a prerequisite for high confidence protein identifications on the basis of peptide mass and sequence information. Due to the implementation of the stack-type digestion device and the motor-operated matrix application device, the entire platform works in a reliable, cost-effective, and sensitive manner, yielding high confidence protein identifications even for samples in the concentration range of as low as 100 fmol protein per gel plug.