学会抄録

<p><b>Observation of pulmonary artery sections</b> (200X, HE) The pulmonary artery wall thickness of disease (D) is noticeably increased. In the D sample, 1) the tunica adventicia was more compact and exhibited increased connective tissue; 2) the smooth muscle fiber was thicker; 3) there was excessive fiber production; and 4) the intima was more compact. The arrows indicate the pathological changes.</p

Evaluation of hemoglobin A_1c measurement from filter paper using high-performance liquid chromatography and immunoturbidimetric assay

<p>Glycated hemoglobin (HbA_1c) measurement from whole blood (WB) samples is inconvenient for epidemic surveillance and self-monitoring of glycemic level. We evaluated HbA_1c measurement from WB blotted on filter paper (FP), which can be easily transported to central laboratories, with high-performance liquid chromatography (HPLC) and immunoturbidimetric assay (ITA). WB was applied to Whatman filter paper. By using HPLC and WB samples as reference methods, these FP samples were evaluated on HPLC and ITA. Inter- and intra-assay variation, WB vs. FP agreement and sample stability at 20–25 °C and −70 °C were assessed by statistical analysis. Results showed that the coefficient of variation (CV, %) of FP samples for HPLC and ITA were 0.44–1.02% and 1.47–2.72%, respectively (intra-assay); 2.13–3.56% and 3.21–4.82%, respectively (inter-assay). The correlation of WB HPLC with FP analyzed using HPLC and ITA are both significant (<i>p</i> < 0.001). Sample stability showed that FP method up to 5 days at 20–25 °C and 5 weeks at −70 °C is accurate and reproducible. In conclusion, FP samples analyzed by HPLC and ITA can both provide an alternative to WB for HbA_1c measurement, supporting the use of FP method in epidemic surveillance and healthcare units.</p

Other putative significantly differential expressed genes regulating pulmonary artery remodeling and vascular contraction in this study.

<p>Other putative significantly differential expressed genes regulating pulmonary artery remodeling and vascular contraction in this study.</p

qRT-PCR and sequencing.

<p>qRT-PCR validation of differentially expressed genes in disease and normal samples of pulmonary artery for 12 genes.</p

Summary of AHI and blood routine in disease and normal groups.

<p>Summary of AHI and blood routine in disease and normal groups.</p

Basic summary of sequence and sequencing reads mapping to reference genome.

<p>Basic summary of sequence and sequencing reads mapping to reference genome.</p

GO enrichment analysis of DEGs in the pulmonary artery.

<p>The three main categories used for GO analysis. The y-axis and x-axis indicate subcategory name and gene number, respectively. * represents the significantly enriched GO terms.</p

KEGG enrichment analysis of DEGs in the pulmonary artery.

<p>The most 20 KEGG pathways were presented. The y-axis and x-axis indicate pathway name and rich factor, respectively. The size of circle dot means gene number.</p

Putative significantly differential expressed molecules and genes enriched to Jak-STAT signaling pathway and NOD-like signaling pathway.

<p>Putative significantly differential expressed molecules and genes enriched to Jak-STAT signaling pathway and NOD-like signaling pathway.</p

Table_1_Changes in Dynamics Within and Between Resting-State Subnetworks in Juvenile Myoclonic Epilepsy Occur at Multiple Frequency Bands.DOCX

<p>Time-varying connectivity analyses have indicated idiopathic generalized epilepsy (IGE) could cause significant abnormalities in dynamic connective pattern within and between resting-state sub-networks (RSNs). However, previous studies mainly focused on the IGE-induced dynamic changes of functional connectivity (FC) in specific frequency band (0.01–0.08 Hz or 0.01–0.15 Hz), ignoring the changes across different frequency bands. Here, 24 patients with IGE characterized by juvenile myoclonic epilepsy (JME) and 24 matched healthy controls were studied using a data-driven frequency decomposition approach and a sliding window approach. The RSN dynamics, including intra-RSN dynamics and inter-RSN dynamics, was further calculated to investigate dynamic FC changes within and between RSNs in JME patients in each decomposed frequency band. Compared to healthy controls, JME patients not only showed frequency-dependent decrease in intra-RSN dynamics within multiple RSNs but also exhibited fluctuant alterations in inter-RSN dynamics among several RSNs over different frequency bands especially in the ventral/dorsal attention network and the subcortical network. Additionally, the disease severity had significantly negative correlations with both intra-RSN dynamics within the subcortical network and inter-RSN dynamics between the subcortical network and the default network at the lower frequency band (0.0095–0.0195 Hz). These results suggested that abnormal dynamic FC within and between RSNs in JME occurs at multiple frequency bands and the lower frequency band (0.0095–0.0195 Hz) was probably more sensitive to JME-caused dynamic FC abnormalities. The frequency subdivision and selection are potentially helpful for detecting particular changes of dynamic FC in JME.</p