Investigation of Nerve Conduction in Patients with Diabetes and/or Hemodialysis

Diabetic peripheral neuropathy (DPN) has been clinically important, and nerve conduction studies (NCS) have been performed with rather complexity and high cost. By advances in technology, simple and useful DPN-Check device was developed obtaining NCS data as sural nerve conduction velocity (SNCV) and sural nerve action potential (SNAP). We enrolled 52 subjects classified into 4 groups according to the presence of hemodialysis (HD) and diabetes mellitus (DM) as follows: HD (+), DM (+) in group 1, HD (+), DM (-) in group 2, HD (-), DM (+) in group 3 and healthy controls in group 4. Average age was similar from 68 to 74 years in 4 groups. Median value of SNCV was 31, 48, 49, 54 m/sec, and median value of SNAP was 3, 9, 6, 22 μV, respectively, in 4 groups. These results might suggest some relationship between impaired states of HD and DM, and would become fundamental data for pathophysiological investigation of peripheral neuropathy of HD and/or DM in the future

Investigation of Nerve Conduction in Patients with Diabetes and/or Hemodialysis

Diabetic peripheral neuropathy (DPN) has been clinically important, and nerve conduction studies (NCS) have been performed with rather complexity and high cost. By advances in technology, simple and useful DPN-Check device was developed obtaining NCS data as sural nerve conduction velocity (SNCV) and sural nerve action potential (SNAP). We enrolled 52 subjects classified into 4 groups according to the presence of hemodialysis (HD) and diabetes mellitus (DM) as follows: HD (+), DM (+) in group 1, HD (+), DM (-) in group 2, HD (-), DM (+) in group 3 and healthy controls in group 4. Average age was similar from 68 to 74 years in 4 groups. Median value of SNCV was 31, 48, 49, 54 m/sec, and median value of SNAP was 3, 9, 6, 22 μV, respectively, in 4 groups. These results might suggest some relationship between impaired states of HD and DM, and would become fundamental data for pathophysiological investigation of peripheral neuropathy of HD and/or DM in the future

PCoM-DB Update: A Protein Co-Migration Database for Photosynthetic Organisms

The identification of protein complexes is important for the understanding of protein structure and function and the regulation of cellular processes. We used blue-native PAGE and tandemmass spectrometry to identify protein complexes systematically, and built a web database, the protein co-migration database (PCoM-DB, http://pcomdb.lowtem.hokudai.ac.jp/proteins/top), to provide prediction tools for protein complexes. PCoM-DB provides migration profiles for any given protein of interest, and allows users to compare them with migration profiles of other proteins, showing the oligomeric states of proteins and thus identifying potential interaction partners. The initial version of PCoM-DB (launched in January 2013) included protein complex data for Synechocystis whole cells and Arabidopsis thaliana thylakoid membranes. Here we report PCoM-DB version 2.0, which includes new data sets and analytical tools. Additional data are included from whole cells of the pelagic marine picocya-nobacterium Prochlorococcus marinus, the thermophilic cyanobacterium Thermosynechococcus elongatus, the unicellular green alga Chlamydomonas reinhardtii and the bryophyte Physcomitrella patens. The Arabidopsis protein data now include data for intact mitochondria, intact chloroplasts, chloroplast stroma and chloroplast envelopes. The new tools comprise a multiple-protein search form and a heat map viewer for protein migration profiles. Users can compare migration profiles of a protein of interest among different organelles or compare migration profiles among different proteins within the same sample. For Arabidopsis proteins, users can compare migration profiles of a protein of interest with putative homologous proteins from non-Arabidopsis organisms. The updated PCoM-DB will help researchers find novel protein complexes and estimate their evolutionary changes in the green lineage