青森県民の健康寿命アップ対策としての「心疾患10年リスク」の活用について(青森県の健康寿命アップと保健大学の取り組み, 第2回青森県立保健大学学術研究集会)

publisher青森市国立情報学研究所の「学術雑誌公開支援事業」により電子化されました

Involvement of Fibronectin and Matrix Metalloproteinases in Airway Smooth Muscle Cell Migration for the Process of Airway Remodeling

ABSTRACT: Background: Airway remodeling is a repair process occurring after airway injury; its primary histopathological features are subepithelial fibrosis and smooth muscle thickening of the bronchi. These histopathological changes are considered to occur due to bronchial smooth muscle cells (bSMC) that secrete extracellular matrix (ECM) proteins, which work as chemoattractants and influence cell migration. Therefore, we examined the interaction between bSMCs and ECM proteins in vitro for understanding the remodeling process in the bronchi. Methods: bSMCs were cultured to collect a bSMC-conditioned medium. Using the bSMC-conditioned medium thus obtained, we performed a cell migration assay, characterized p integrin expression, and identified ECM proteins and matrix metalloproteinases by western blotting and gelatin zymography, respectively. Results: The response of bSMC migration to bSMC-conditioned medium increased with time in culture, and fibronectin (FIB) was detected as a chemoattractant for bSMCs in bSMC-conditioned medium by western blot analysis and a cell migration assay using anti-FIB antibodies. The involvement of p1 integrin in the migration of bSMCs toward FIB contained in bSMC-conditioned medium was demonstrated by inhibition of cell migration using anti-p1 integrin antibodies. Expression of p1 integrin on bSMCs was confirmed by using a p-integrinmediated cell adhesion array. In addition, metalloproteinases detected in bSMC-conditioned medium by gelatin zymography were suggested to be matrix metalloproteinase-1 and 2 by western blotting and amino acid sequencing. Conclusions: Our results suggest that FIB and matrix metalloproteinases secreted from bSMCs might play major roles in bSMC migration in the process of airway remodeling. KEY WORDS: airway remodeling, cell migration, fibronectin, matrix metalloproteinases, smooth muscle cell

Usefulness of a Body Composition Analyzer, InBody 2.0, in Chronic Hemodialysis Patients

The objective of the present study was to investigate whether InBody 2.0 might be useful in measuring the dry weight of chronic hemodialysis (HD) patients. Thirty-five HD patients (22 males and 13 females; mean age 62.6 ± 14.0 years; mean HD duration 101.0 ± 118.06 months) were examined. Multifrequency bioelectric impedance analysis was used to estimate the ratio of extracellular water (ECW) to total body water (TBW). The body resistance was measured at frequencies ranging from 1 kHz to 1 MHz. The impedance index was determined at a low frequency (5 kHz) and correlated closely with ECW, using sodium bromide dilution as standard comparison. The levels of serum albumin, prealbumin, total cholesterol (TC), triglycerides (TG), transferrin, and human atrial natriuretic peptide (hANP) were measured by routine methods in our hospital. The ECW/TBW ratio was significantly associated with the levels of hANP (p < 0.05). However, no associations between the levels of serum albumin, TC, TG, or transferrin and the ECW/TBW were observed. It appears that the body composition analyzer, InBody 2.0, may be useful for estimating the dry weight in chronic HD patients

Video contents used in this study.

The video consisted of seven scenes. Scenes were categorized based on the character’s motion: explanation, running, and hiding in a tree or grass. The characters’ running speed in running scenes was divided into three paces; slow, moderate, and fast. The illustration in each scene was an exemplified frame.</p

A video of a dog and a cat running and hiding, with Japanese audio used in the study.

(TIFF)</p

Relationship between distance score and eye-gaze acquisition time or saliency scores.

(A) The relationship between eye-gaze acquisition time and distance score. (B) The relationship between distance score and fine-grained score. (C) The relationship between distance score and spectral-residual score. PIMD, profound intellectual and multiple disabilities; SPD, severe physical disabilities.</p

How to find the motion object’s positions.

Step 1: Used three consecutive frames. Step 2: Gray scaled these frames. Step 3: Calculated the difference between the previous frame and the current frame and between the current frame and the next frame. Then, these two differences were multiplied together. Step 4: Performed noise reduction by dilation processing and detected connected objects. Step 5: Calculated the center of gravity from an object. This center was defined as the moving object’s position.</p

Relationship between saliency scores and eye-gaze acquisition stratified by eye-gaze acquisition time.

Distribution of saliency scores for the entire video for the PIMD, SPD, and healthy groups are presented as box-and-whisker plots, under the conditions of eye-gaze acquisition time of (A) (TIF)</p