A new member of a family of proteins characterized by structural similarity to dipeptidyl peptidase (DPP) IV known as DPP10 was recently identified and linked to asthma susceptibility; however, the cellular functions of DPP10 are thus far unknown. DPP10 is highly homologous to subfamily member DPPX, which we previously reported as a modulator of Kv4-mediated A-type potassium channels (Nadal, M. S., Ozaita, A., Amarillo, Y., Vega-Saenz de Miera, E., Ma, Y., Mo, W., Goldberg, E. M., Misumi, Y., Ikehara, Y., Neubert, T. A., and Rudy, B. (2003) Neuron. 37, 449 -461). We studied the ability of DPP10 protein to modulate the properties of Kv4.2 channels in heterologous expression systems. We found DPP10 activity to be nearly identical to DPPX activity and significantly different from DPPIV activity. DPPX and DPP10 facilitated Kv4.2 protein trafficking to the cell membrane, increased A-type current magnitude, and modified the voltage dependence and kinetic properties of the current such that they resembled the properties of A-type currents recorded in neurons in the central nervous system. Using in situ hybridization, we found DPP10 to be prominently expressed in brain neuronal populations that also express Kv4 subunits. Furthermore, DPP10 was detected in immunoprecipitated Kv4.2 channel complexes from rat brain membranes, confirming the association of DPP10 proteins with native Kv4.2 channels. These experiments suggest that DPP10 contributes to the molecular composition of A-type currents in the central nervous system. To dissect the structural determinants of these integral accessory proteins, we constructed chimeras of DPPX, DPP10, and DPPIV lacking the extracellular domain. Chimeras of DPPX and DPP10, but not DPPIV, were able to modulate the properties of Kv4.2 channels, highlighting the importance of the intracellular and transmembrane domains in this activity.We recently identified DPP10, a new member of a family of proteins characterized by structural similarity to dipeptidyl peptidase (DPP) 1 IV (1). DPPIV (also known as CD26) is a multifunctional protein. It is a membrane-bound enzyme belonging to the S9B prolyl oligopeptidase class of serine proteases. Its exopeptidase activity has great physiological importance in the metabolism of peptide hormones and is currently being investigated as a target for the treatment of type II diabetes. DPPIV has important functions also in cell adhesion, cellular trafficking, and regulation of T cell activation, which are mediated by functional domains distinct from the catalytic domain (2-5). DPPIV is the most studied member of a growing class of interesting molecules with diverse activities.DPP10 is prominently expressed in the brain as well as adrenal glands and trachea, but its functions remain to be discovered. The human DPP10 gene was recently identified as a candidate for susceptibility to asthma, a common disease of the airways involving atopic inflammation and hyper-responsiveness to various agents (6). Consistent with this report, independent mouse genome screens have...

Two dipeptidyl peptidase IV (DPPIV, DPP4)-related proteins, DPP8 and DPP9, have been identified recently [Abbott, Yu, Woollatt, Sutherland, McCaughan, and Gorrell (2000) Eur. J. Biochem. 267, 6140-6150; Olsen and Wagtmann (2002) Gene 299, 185-193; Qi, Akinsanya, Riviere, and Junien (2002) Patent application WO0231134]. In the present study, we describe the cloning of DPP10, a novel 796-amino-acid protein, with significant sequence identity to DPP4 (32%) and DPP6 (51%) respectively. We propose that DPP10 is a new member of the S9B serine proteases subfamily. The DPP10 gene is located on the long arm of chromosome 2 (2q12.3-2q14.2), close to the DPP4 (2q24.3) and FAP (2q23) genes. The active-site serine residue is replaced by a glycine residue in DPP10, resulting in the loss of DPP activity. The serine residue is also replaced in DPP6, which lacks peptidase activity. DPP8 and DPP9 share an identical active site with DPP4 (Gly-Trp-Ser-Tyr-Gly). In contrast with the previous results suggesting that DPP9 is inactive, we show that DPP9 is a DPP, hydrolysing Ala-Pro-(7-amino-4-methyl-coumarin) with similar pH-specificity and protease-inhibitor-sensitivity to those of DPP4 and DPP8. Northern-blot analysis shows that whereas DPP8 and DPP9 are widely expressed, DPP10 is expressed mainly in the brain and pancreas. DPP6, which has the highest amino acid identity with DPP10, has been shown previously [Nadal, Ozaita, Amarillo, de Miera, Ma, Mo, Goldberg, Misumi, Ikehara, Neubert et al. (2003) Neuron 37, 449-461] to associate with A-type K(+) channel subunits, modulating their transport and function in somatodendritic compartments of neurons. It is possible that DPP10 is involved in similar functions in the brain. Elucidation of the physiological or pathophysiological role of DPP8, DPP9 and DPP10 and characterization of their structure-function relationships will add impetus to the development of inhibitor molecules for pharmacological or therapeutic use.

Herein, we aimed to develop a strategy to assess quality consistency of a drug product, with a focus on two typical cases of injection. Multi-variable analysis using a sequencing combination of factor analysis, one-way analysis of variance and cluster analysis identified all potential Critical Quality Attributes (CQAs) for each manufacturing process, which were identified from the attributes of quality standard (QAs) using supervised (cefazolin sodium pentahydrate, α-CEZ-Na) or unsupervised (cephathiamidine, CETD) analysis. All CQAs from QAs were applied to set up an integrated index, quality consistency attribute (QCA), to evaluate product quality consistency in a specific aspect. Meanwhile, real-time analysis by chemometrics-assisted near-infrared spectroscopy (NIR) was used to obtain useful information corresponding to the CQAs from the process attributes (PAs) of some of the critical processes. The quantitative results of characteristic signals of NIR by multiple linear regression was defined as the process consistency attribute (PrCA), and was used to assess the product quality consistency in another aspect. Therefore, either values of QCA or PrCA displayed sensitivity to changes in product quality, allowing us to establish a strategy with strong practicality, comprehensiveness and visualization to demonstrate the quality consistency of a specific product. Such strategy is not only conducive to the improvement of quality standards, but to the retrospective investigation of manufacturing processes which ultimately allowed maintenance of product consistency.