Förster Resonance Energy Transfer-Based Single-Cell Imaging Reveals Piezo1-Induced Ca2+ Flux Mediates Membrane Ruffling and Cell Survival.

A mechanosensitive ion channel, Piezo1 induces non-selective cation flux in response to various mechanical stresses. However, the biological interpretation and underlying mechanisms of cells resulting from Piezo1 activation remain elusive. This study elucidates Piezo1-mediated Ca2+ influx driven by channel activation and cellular behavior using novel Förster Resonance Energy Transfer (FRET)-based biosensors and single-cell imaging analysis. Results reveal that extracellular Ca2+ influx via Piezo1 requires intact caveolin, cholesterol, and cytoskeletal support. Increased cytoplasmic Ca2+ levels enhance PKA, ERK, Rac1, and ROCK activity, which have the potential to promote cancer cell survival and migration. Furthermore, we demonstrate that Piezo1-mediated Ca2+ influx upregulates membrane ruffling, a characteristic feature of cancer cell metastasis, using spatiotemporal image correlation spectroscopy. Thus, our findings provide new insights into the function of Piezo1, suggesting that Piezo1 plays a significant role in the behavior of cancer cells.

Rhynchosia volubilis Promotes Cell Survival via cAMP-PKA/ERK-CREB Pathway.

Rhynchosia volubilis, a small black bean, has been used as a traditional remedy to treat diseases and maintain health in East Asia, but its cellular effects and molecular mechanisms are not fully understood. The purpose of this study was to investigate the effect of ethanol extract from Rhynchosia volubilis (EERV) on cell survival and to elucidate the biochemical signaling pathways. Our results showed that EERV stimulated the cyclic AMP (cAMP) signal revealed by a fluorescent protein (FP)-based intensiometric sensor. Using a Förster resonance energy transfer (FRET)-based sensor, we further revealed that EERV could activate PKA and ERK signals, which are downstream effectors of cAMP. In addition, we reported that EERV could induce the phosphorylation of CREB, a key signal for cell survival. Thus, our results suggested that EERV protects against apoptosis by activating the cell survival pathway through the cAMP-PKA/ERK-CREB pathway.

Distinct calcium regulation of TRPM7 mechanosensitive channels at plasma membrane microdomains visualized by FRET-based single cell imaging.

Transient receptor potential subfamily M member 7 (TRPM7), a mechanosensitive Ca2+ channel, plays a crucial role in intracellular Ca2+ homeostasis. However, it is currently unclear how cell mechanical cues control TRPM7 activity and its associated Ca2+ influx at plasma membrane microdomains. Using two different types of Ca2+ biosensors (Lyn-D3cpv and Kras-D3cpv) based on fluorescence resonance energy transfer, we investigate how Ca2+ influx generated by the TRPM7-specific agonist naltriben is mediated at the detergent-resistant membrane (DRM) and non-DRM regions. This study reveals that TRPM7-induced Ca2+ influx mainly occurs at the DRM, and chemically induced mechanical perturbations in the cell mechanosensitive apparatus substantially reduce Ca2+ influx through TRPM7, preferably located at the DRM. Such perturbations include the disintegration of lipid rafts, microtubules, or actomyosin filaments; the alteration of actomyosin contractility; and the inhibition of focal adhesion and Src kinases. These results suggest that the mechanical membrane environment contributes to the TRPM7 function and activity. Thus, this study provides a fundamental understanding of how the mechanical aspects of the cell membrane regulate the function of mechanosensitive channels.

Recognition System Using Fusion Normalization Based on Morphological Features of Post-Exercise ECG for Intelligent Biometrics.

Although biometrics systems using an electrocardiogram (ECG) have been actively researched, there is a characteristic that the morphological features of the ECG signal are measured differently depending on the measurement environment. In general, post-exercise ECG is not matched with the morphological features of the pre-exercise ECG because of the temporary tachycardia. This can degrade the user recognition performance. Although normalization studies have been conducted to match the post- and pre-exercise ECG, limitations related to the distortion of the P wave, QRS complexes, and T wave, which are morphological features, often arise. In this paper, we propose a method for matching pre- and post-exercise ECG cycles based on time and frequency fusion normalization in consideration of morphological features and classifying users with high performance by an optimized system. One cycle of post-exercise ECG is expanded by linear interpolation and filtered with an optimized frequency through the fusion normalization method. The fusion normalization method aims to match one post-exercise ECG cycle to one pre-exercise ECG cycle. The experimental results show that the average similarity between the pre- and post-exercise states improves by 25.6% after normalization, for 30 ECG cycles. Additionally, the normalization algorithm improves the maximum user recognition performance from 96.4 to 98%.

Driver Identification System Using Normalized Electrocardiogram Based on Adaptive Threshold Filter for Intelligent Vehicles.

Driver-centered infotainment and telematics services are provided for intelligent vehicles that improve driver convenience. Driver-centered services are performed after identification, and a biometrics system using bio-signals is applied. The electrocardiogram (ECG) signal acquired in the driving environment needs to be normalized because the intensity of noise is strong because the driver's motion artifact is included. Existing time, frequency, and phase normalization methods have a problem of distorting P, QRS Complexes, and T waves, which are morphological features of an ECG, or normalizing to signals containing noise. In this paper, we propose an adaptive threshold filter-based driver identification system to solve the problem of distortion of the ECG morphological features when normalized and the motion artifact noise of the ECG that causes the identification performance deterioration in the driving environment. The experimental results show that the proposed method improved the average similarity compared to the results without normalization. The identification performance was also improved compared to the results before normalization.

The Performance of Serum Biomarkers for Predicting Fibrosis in Patients with Chronic Viral Hepatitis.

BACKGROUND/AIMS: The invasiveness of a liver biopsy and its inconsistent results have prompted efforts to develop noninvasive tools to evaluate the severity of chronic hepatitis. This study was intended to assess the performance of serum biomarkers for predicting liver fibrosis in patients with chronic viral hepatitis. METHODS: A total of 302 patients with chronic hepatitis B or C, who had undergone liver biopsy, were retrospectively enrolled. We investigated the diagnostic accuracy of several clinical factors for predicting advanced fibrosis (F≥3). RESULTS: The study population included 227 patients with chronic hepatitis B, 73 patients with chronic hepatitis C, and 2 patients with co-infection (hepatitis B and C). Histological cirrhosis was identified in 16.2% of the study population. The grade of porto-periportal activity was more correlated with the stage of chronic hepatitis compared with that of lobular activity (r=0.640 vs. r=0.171). Fibrosis stage was correlated with platelet count (r=-0.520), aspartate aminotransferase to platelet ratio index (APRI) (r=0.390), prothrombin time (r=0.376), and albumin (r=-0.357). For the diagnosis of advanced fibrosis, platelet count and APRI were the most predictive variables (AUROC=0.752, and 0.713, respectively). CONCLUSIONS: In a hepatitis B endemic region, platelet count and APRI could be considered as reliable non-invasive markers for predicting fibrosis of chronic viral hepatitis. However, it is necessary to validate the diagnostic accuracy of these markers in another population.

Collision tumor of hepatocellular carcinoma and neuroendocrine carcinoma involving the liver: Case report and review of the literature.

Primary hepatic neuroendocrine carcinoma (NEC) with concurrent occurrence of hepatocellular carcinoma (HCC) of the liver is very rare. Only 8 cases have been reported in the literature. Concurrent occurrence of HCC and NEC in the liver is classified as combined type or collision type by histological distributional patterns; only 2 cases have been reported. Herein, we report a case of collision type concurrent occurrence of HCC and NEC, in which primary hepatic NEC was in only a small portion of the nodule, which is different from the 2 previously reported cases. A 72-year-old male with chronic hepatitis C was admitted to our hospital for a hepatic mass detected by liver computed tomography (CT) at another clinic. Because the nodule was in hepatic segment 3 and had proper radiologic findings for diagnosis of HCC, including enhancement in the arterial phase and wash-out in the portal and delay phases, the patient was treated with laparoscopic left lateral sectionectomy. The pathology demonstrated that the nodule was 2.5 cm and was moderately differentiated HCC. However, a 3 mm-sized focal neuroendocrine carcinoma was also detected on the capsule of the nodule. The tumor was concluded to be a collision type with HCC and primary hepatic NEC. After the surgery, for follow-up, the patient underwent a liver CT every 3 mo. Five multiple nodules were found in the right hepatic lobe on the follow-up liver CT 6 mo post-operatively. As the features of the nodules in the liver CT and MRI were different from that of HCC, a liver biopsy was performed. Intrahepatic recurrent NEC was proven after the liver biopsy, which showed the same pathologic features with the specimen obtained 6 mo ago. Palliative chemotherapy with a combination of etoposide and cisplatin has been administered for 4 months, showing partial response.

Pulmonary Pneumatocele in a Pneumonia Patient Infected with Extended-Spectrum ß-Lactamase Producing Proteus mirabilis.

Pulmonary pneumatoceles are air-filled thin-walled spaces within the lung and are rare in adult cases of pneumonia. We report the case of a 74-year-old male who was admitted with a cough and sputum production. He had been treated with oral dexamethasone since a brain tumorectomy 6 months prior. Contrast-enhanced computed tomography (CT) of the chest revealed a large pneumatocele in the right middle lobe and peripheral pneumonic consolidation. Bronchoalveolar lavage was performed; cultures identified extended-spectrum ß-lactamase (ESBL) producing Proteus mirabilis. A 4-week course of intravenous ertapenem was administered, and the pneumatocele with pneumonia resolved on follow-up chest CT. To the best of our knowledge, this is the first reported case of pulmonary pneumatocele caused by ESBL-producing P. mirabilis associated with pneumonia.

Alpha-ketoglutarate stimulates procollagen production in cultured human dermal fibroblasts, and decreases UVB-induced wrinkle formation following topical application on the dorsal skin of hairless mice.

Alpha-ketoglutarate is a key intermediate in the Krebs cycle, and a rate-limiting cofactor of prolyl-4-hydroxylase. It also has a potent effect on increasing the proline pool during collagen production, but the details underlying the boosting effect on collagen production by alpha-ketoglutarate remain as yet unreported. To investigate the effects of alpha-ketoglutarate on procollagen production and wrinkle formation, we conducted experiments in cultured human dermal fibroblasts and UVB-irradiated hairless mice. Based on ELISA measurements, alpha-ketoglutarate (10 microM) stimulated procollagen production in fibroblasts by 25.6+/-4.6% compared to vehicle (dH(2)O)-treated control cells. Also, we demonstrated that alpha-ketoglutarate increased activities of prolidase, which is known to play an important role in collagen metabolism, in fibroblasts and N-benzyloxycarbonyl-L-proline (Cbz-Pro), prolidase inhibitor, inhibited procollagen synthesis by alpha-ketoglutarate in fibroblasts. To determine the effect of topically applied alpha-ketoglutarate on wrinkle formation, alpha-ketoglutarate (1%) and vehicle (70% propylene glycol, 30% ethanol) were applied on the dorsal skin of UVB-induced hairless mice for twelve weeks. We found that alpha-ketoglutarate decreased wrinkle formation upon long-term topical application. These results suggest that alpha-ketoglutarate diminishes UVB-induced wrinkle formation by increasing collagen production, through a pathway that involves prolidase activation. Therefore, application of alpha-ketoglutarate may represent an effective anti-wrinkle agent for the cosmetic field.

Cloning, expression, and characterization of single-chain variable fragment antibody against mycotoxin deoxynivalenol in recombinant Escherichia coli.

Deoxynivalenol (DON), a mycotoxin produced by several Fusarium species, is a worldwide contaminant of food and feedstuffs. The DON-specific single-chain variable fragment (scFv) antibody was produced in recombinant Escherichia coli. The variable regions of the heavy chain (V(H)) and light chain (V(L)) cloned from the hybridoma 3G7 were connected with a flexible linker using an overlap extension polymerase chain reaction. Nucleotide sequence analysis revealed that the anti-DON V(H) was a member of the V(H) III gene family IA subgroup and the V(L) gene belonged to the Vlambda gene family II subgroup. Extensive efforts to express the functional scFv antibody in E. coli have been made by using gene fusion and chaperone coexpression. Coexpression of the molecular chaperones (DnaK-DnaJ-GrpE) allowed soluble expression of the scFv. The scFv antibody fused with hexahistidine residues at the C-terminus was purified by immobilized metal affinity chromatography (IMAC). Soluble scFv antibody produced in this manner was characterized for its antigen-binding characteristics. Its biological affinity as antibody was measured by surface plasmon resonance (SPR) analysis and proved to be significant but weaker than that of the whole anti-DON mAb.