Asthma is a risk factor for general fatigue of long COVID in Japanese nation-wide cohort study.

BACKGROUND: Multiple prolonged symptoms are observed in patients who recover from an acute COVID-19 infection, which is defined as long COVID. General fatigue is frequently observed in patients with long COVID during acute and post-acute phases. This study aimed to identify the specific risk factors for general fatigue in long COVID. METHODS: Hospitalized patients with COVID-19 aged over 18 years were enrolled in a multicenter cohort study at 26 medical institutions. Clinical data during hospitalization and patient-reported outcomes after discharge were collected from medical records, paper-based questionnaires, and smartphone apps. RESULTS: Among prolonged symptoms through 1-year follow-ups, general fatigue was the most interfering symptom in daily life. Patients with protracted fatigue at all follow-up periods had lower quality of life scores at the 12-month follow-up. Univariate logistic regression analysis of the presence or absence of general fatigue at the 3-month, 6-month, and 12-month follow-ups identified asthma, younger age, and female sex as risk factors for prolonged fatigue. Multivariable logistic regression analysis revealed that asthma was an independent risk factor for persistent fatigue during the 12-month follow-up period. Longitudinal changes in the symptoms of patients with or without asthma demonstrated that general fatigue, not cough and dyspnea, was significantly prolonged in patients with asthma. CONCLUSIONS: In a Japanese population with long COVID, prolonged general fatigue was closely linked to asthma. A preventive approach against COVID-19 is necessary to avoid sustained fatigue and minimize social and economic losses in patients with asthma.

Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography - a multicenter retrospective cohort study in Japan.

BACKGROUND: Computed tomography (CT) imaging and artificial intelligence (AI)-based analyses have aided in the diagnosis and prediction of the severity of COVID-19. However, the potential of AI-based CT quantification of pneumonia in assessing patients with COVID-19 has not yet been fully explored. This study aimed to investigate the potential of AI-based CT quantification of COVID-19 pneumonia to predict the critical outcomes and clinical characteristics of patients with residual lung lesions. METHODS: This retrospective cohort study included 1,200 hospitalized patients with COVID-19 from four hospitals. The incidence of critical outcomes (requiring the support of high-flow oxygen or invasive mechanical ventilation or death) and complications during hospitalization (bacterial infection, renal failure, heart failure, thromboembolism, and liver dysfunction) was compared between the groups of pneumonia with high/low-percentage lung lesions, based on AI-based CT quantification. Additionally, 198 patients underwent CT scans 3 months after admission to analyze prognostic factors for residual lung lesions. RESULTS: The pneumonia group with a high percentage of lung lesions (N = 400) had a higher incidence of critical outcomes and complications during hospitalization than the low percentage group (N = 800). Multivariable analysis demonstrated that AI-based CT quantification of pneumonia was independently associated with critical outcomes (adjusted odds ratio [aOR] 10.5, 95% confidence interval [CI] 5.59-19.7), as well as with oxygen requirement (aOR 6.35, 95% CI 4.60-8.76), IMV requirement (aOR 7.73, 95% CI 2.52-23.7), and mortality rate (aOR 6.46, 95% CI 1.87-22.3). Among patients with follow-up CT scans (N = 198), the multivariable analysis revealed that the pneumonia group with a high percentage of lung lesions on admission (aOR 4.74, 95% CI 2.36-9.52), older age (aOR 2.53, 95% CI 1.16-5.51), female sex (aOR 2.41, 95% CI 1.13-5.11), and medical history of hypertension (aOR 2.22, 95% CI 1.09-4.50) independently predicted persistent residual lung lesions. CONCLUSIONS: AI-based CT quantification of pneumonia provides valuable information beyond qualitative evaluation by physicians, enabling the prediction of critical outcomes and residual lung lesions in patients with COVID-19.

Successfully treated bronchopulmonary oxalosis caused by Aspergillus tubingensis in a non-neutropenic patient: A case report and review of the literature.

Pulmonary oxalosis can be fatal, and Aspergillus tubingensis is commonly resistant to azoles in Japan. We report a case of bronchopulmonary oxalosis caused by A. tubingensis in a non-neutropenic patient who was successfully treated with voriconazole monotherapy. The susceptibility of the isolates to voriconazole and the effective elimination of contagious necrotic tissue by expectoration seemed to be two major factors contributing to the patient's survival. According to the literature review, pulmonary oxalosis is associated with a high mortality rate over a short term. An exploration of detailed information about the genomic characteristics and drug susceptibility of Aspergillus isolates is important for the development of treatment strategies for this life-threatening disease.

Plasma sE-cadherin and the plasma sE-cadherin/sVE-cadherin ratio are potential biomarkers for chronic obstructive pulmonary disease.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is characterized by airway inflammation with endothelial dysfunction. Cadherins are adhesion molecules on epithelial (E-) and vascular endothelial (VE-) cells. Soluble (s) cadherin is released from the cell surface by the effects of proteases including matrix metalloproteinases (MMPs). OBJECTIVE: The aim of this study was to examine the associations of sE-/sVE-cadherin levels in plasma with the development of COPD. METHODS: Plasma sE-/VE-cadherin levels were measured by an enzyme-linked immunosorbent assay in 115 patients with COPD, 36 symptomatic smokers (SS), 63 healthy smokers (HS) and 78 healthy non-smokers (HN). sE-cadherin and MMP-7 levels in epithelial lining fluid (ELF) were measured in 24 patients (12 COPD and 12 control). RESULTS: Plasma sE-cadherin levels and sE-cadherin/sVE-cadherin ratios were significantly higher in COPD and SS than in HS and HN groups, while plasma sVE-cadherin levels were lower in COPD than in HS and HN groups (p < 0.0001). sE-cadherin levels paralleled the severity of airflow limitation in both plasma (p < 0.01) and ELF (p < 0.05), while plasma sVE-cadherin levels were inversely correlated with the extent of emphysema (p < 0.05). MMP-7 levels were correlated with sE-cadherin levels in ELF. CONCLUSIONS: Plasma sE-cadherin levels and sE-cadherin/sVE-cadherin ratios are potential biomarkers for COPD.

Analysis of comorbid factors that increase the COPD assessment test scores.

BACKGROUND: The chronic obstructive pulmonary disease (COPD) Assessment Test (CAT) is a concise health status measure for COPD. COPD patients have a variety of comorbidities, but little is known about their impact on quality of life. This study was designed to investigate comorbid factors that may contribute to high CAT scores. METHODS: An observational study at Keio University and affiliated hospitals enrolled 336 COPD patients and 67 non-COPD subjects. Health status was assessed by the CAT, the St. Georges Respiratory Questionnaire (SGRQ), and all components of the Medical Outcomes Study Short-Form 36-Item (SF-36) version 2, which is a generic measure of health. Comorbidities were identified based on patients' reports, physicians' records, and questionnaires, including the Frequency Scale for the Symptoms of Gastro-esophageal reflux disease (GERD) and the Hospital Anxiety and Depression Scale. Dual X-ray absorptiometry measurements of bone mineral density were performed. RESULTS: The CAT showed moderate-good correlations with the SGRQ and all components of the SF-36. The presence of GERD, depression, arrhythmia, and anxiety was significantly associated with a high CAT score in the COPD patients. CONCLUSIONS: Symptomatic COPD patients have a high prevalence of comorbidities. A high CAT score should alert the clinician to a higher likelihood of certain comorbidities such as GERD and depression, because these diseases may co-exist unrecognized. TRIAL REGISTRATION: Clinical trial registered with UMIN (UMIN000003470).

Plasma cytokine profiles related to smoking-sensitivity and phenotypes of chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) develops only in smoking-sensitive smokers and manifests heterogeneous phenotypes, including emphysema and non-emphysema types. We aimed to identify biomarkers related to the smoking-sensitivity and phenotypes of COPD. Among 240 smokers suggestive of COPD, we studied on four groups defined by % forced expiratory volume in one second (FEV1) and computed tomography-based pulmonary emphysema. Plasma concentrations of 33 inflammatory markers were measured in four groups as well as Non-smokers using multiplex protein arrays. IL-5, IL-7 and IL-13 were identified to be associated with smoking sensitivity and IL-6 and IL-10 were candidate biomarkers for airway-lesion dominant COPD.

Anger is a distinctive feature of epilepsy patients with depression.

Controversy exists regarding the similarity between depression as seen in patients with epilepsy and in those with idiopathic major depression. The objective of this study was to examine whether anger is a distinctive feature of depression in epilepsy. Participants included 487 adult patients with epilepsy (study group) and 85 patients with idiopathic major depression according to Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (DSM-IV) criteria, and without other neurological complications (control group). All participants completed the Inventory of Depressive Symptomatology Self-Report (IDS-SR) and the Buss-Perry Aggression Questionnaire (BAQ). The IDS-SR is a self-report questionnaire that measures depression severity and assesses all symptoms of depression as defined by the DSM-IV. The BAQ is a self-rating scale designed for assessing aggression. After examining potential confounding factors (i.e., demographic and clinical variables) using a multivariate linear regression model, BAQ scores were compared between the study (n = 85) and control groups (n = 54) for patients with moderate or severe depression using established cut-off points (IDS-SR score > 25). BAQ scores were significantly higher in the study group (P = 0.009). Among the BAQ subscales, only anger showed a statistically significant difference (P = 0.013). Although a significant correlation was revealed between the IDS-SR and BAQ scores in the study group, no such correlation was found in the control group. Thus, anger might be a constituent component of depression among epilepsy patients, but not among idiopathic major depression patients.

Integrated assessment of computed tomography density in pectoralis and erector spinae muscles as a prognostic biomarker for coronavirus disease 2019.

BACKGROUND ＆ AIMS: Muscle quantification using chest computed tomography (CT) is a useful prognostic biomarker for coronavirus disease 2019 (COVID-19). However, no studies have evaluated the clinical course through comprehensive assessment of the pectoralis and erector spinae muscles. Therefore, we compared the impact of the areas and densities of these muscles on COVID-19 infection outcome. METHODS: This multicenter retrospective cohort study was conducted by the COVID-19 Task Force. A total of 1410 patients with COVID-19 were included, and data on the area and density of the pectoralis and erector spinae muscles on chest CT were collected. The impact of each muscle parameter on the clinical outcome of COVID-19 was stratified according to sex. The primary outcome was the percentage of patients with severe disease, including those requiring oxygen supplementation and those who died. Additionally, 167 patients were followed up for changes in muscle parameters at three months and for the clinical characteristics in case of reduced CT density. RESULTS: For both muscles, low density rather than muscle area was associated with COVID-19 severity. Regardless of sex, lower erector spinae muscle density was associated with more severe disease than pectoralis muscle density. The muscles were divided into two groups using the receiver operating characteristic curve of CT density, and the population was classified into four (Group A: high CT density for both muscles, Group B: low CT density for pectoralis and high for erector spinae muscle. Group C: high CT density for pectoralis and low for erector spinae muscle, Group D: low CT density for both muscles). In univariate analysis, Group D patients exhibited worse outcomes than Group A (OR: 2.96, 95% CI: 2.03-4.34 in men; OR: 3.02, 95% CI: 2.66-10.4 in women). Multivariate analysis revealed that men in Group D had a significantly more severe prognosis than those in Group A (OR: 1.82, 95% CI: 1.16-2.87). Moreover, Group D patients tended to have the highest incidence of other complications due to secondary infections and acute kidney injury during the clinical course. Longitudinal analysis of both muscle densities over three months revealed that patients with decreased muscle density over time were more likely to have severe cases than those who did not. CONCLUSIONS: Muscle density, rather than muscle area, predicts the clinical outcomes of COVID-19. Integrated assessment of pectoralis and erector spinae muscle densities demonstrated higher accuracy in predicting the clinical course of COVID-19 than individual assessments.

Lung volume measurement using chest CT in COVID-19 patients: a cohort study in Japan.

OBJECTIVE: This study aimed to investigate the utility of CT quantification of lung volume for predicting critical outcomes in COVID-19 patients. METHODS: This retrospective cohort study included 1200 hospitalised patients with COVID-19 from 4 hospitals. Lung fields were extracted using artificial intelligence-based segmentation, and the percentage of the predicted (%pred) total lung volume (TLC (%pred)) was calculated. The incidence of critical outcomes and posthospitalisation complications was compared between patients with low and high CT lung volumes classified based on the median percentage of predicted TLCct (n=600 for each). Prognostic factors for residual lung volume loss were investigated in 208 patients with COVID-19 via a follow-up CT after 3 months. RESULTS: The incidence of critical outcomes was higher in the low TLCct (%pred) group than in the high TLCct (%pred) group (14.2% vs 3.3%, p<0.0001). Multivariable analysis of previously reported factors (age, sex, body mass index and comorbidities) demonstrated that CT-derived lung volume was significantly associated with critical outcomes. The low TLCct (%pred) group exhibited a higher incidence of bacterial infection, heart failure, thromboembolism, liver dysfunction and renal dysfunction than the high TLCct (%pred) group. TLCct (%pred) at 3 months was similarly divided into two groups at the median (71.8%). Among patients with follow-up CT scans, lung volumes showed a recovery trend from the time of admission to 3 months but remained lower in critical cases at 3 months. CONCLUSION: Lower CT lung volume was associated with critical outcomes, posthospitalisation complications and slower improvement of clinical conditions in COVID-19 patients.

CT-derived vertebral bone mineral density is a useful biomarker to predict COVID-19 outcome.

The low vertebral bone computed tomography (CT) Hounsfield unit values measured on CT scans reflect low bone mineral density (BMD) and are known as diagnostic indicators for osteoporosis. The potential prognostic significance of low BMD defined by vertebral bone CT values for the coronavirus disease 2019 (COVID-19) remains unclear. This study aimed to assess the impact of BMD on the clinical outcome in Japanese patients with COVID-19 and evaluate the association between BMD and critical outcomes, such as high-flow nasal cannula, non-invasive and invasive positive pressure ventilation, extracorporeal membrane oxygenation, or death. We examined the effects of COVID-19 severity on the change of BMD over time. This multicenter retrospective cohort study enrolled 1132 inpatients with COVID-19 from the Japan COVID-19 Task Force database between February 2020 and September 2022. The bone CT values of the 4th, 7th, and 10th thoracic vertebrae were measured from chest CT images. The average of these values was defined as BMD. Furthermore, a comparative analysis was conducted between the BMD on admission and its value 3 months later. The low BMD group had a higher proportion of critical outcomes than did the high BMD group. In a subanalysis stratifying patients by epidemic wave according to onset time, critical outcomes were higher in the low BMD group in the 1st-4th waves. Multivariable logistic analysis of previously reported factors associated with COVID-19 severity revealed that low BMD, chronic kidney disease, and diabetes were independently associated with critical outcomes. At 3 months post-infection, patients with oxygen demand during hospitalization showed markedly decreased BMD than did those on admission. Low BMD in patients with COVID-19 may help predict severe disease after the disease onset. BMD may decrease over time in patients with severe COVID-19, and the impact on sequelae symptoms should be investigated in the future.

Epicardial adipose tissue measured from analysis of adipose tissue area using chest CT imaging is the best potential predictor of COVID-19 severity.

BACKGROUND: Computed tomography (CT) imaging is widely used for diagnosing and determining the severity of coronavirus disease 2019 (COVID-19). Chest CT imaging can be used to calculate the epicardial adipose tissue (EAT) and upper abdominal visceral adipose tissue (Abd-VAT) areas. The EAT is the main source of inflammatory cytokines involved in chest inflammatory diseases; thus, the EAT area might be a more useful severity predictor than the Abd-VAT area for COVID-19. However, to the best of our knowledge, there are no large-scale reports that sufficiently consider this issue. In addition, there are no reports on the characteristics of patients with normal body mass index (BMI) and high adipose tissue. AIM: The purpose of this study was to analyze whether the EAT area, among various adipose tissues, was the most associated factor with COVID-19 severity. Using a multicenter COVID-19 patient database, we analyzed the associations of chest subcutaneous, chest visceral, abdominal subcutaneous, and Abd-VAT areas with COVID-19 outcomes. In addition, the clinical significance of central obesity, commonly disregarded by BMI, was examined. METHODS: This retrospective cohort study evaluated patients with COVID-19 aged ≥18 years In Japan. Data including from chest CT images collected between February 2020 and October 2022 in four hospitals of the Japan COVID-19 Task Force were analyzed. Patient characteristics and COVID-19 severity were compared according to the adipose tissue areas (chest and abdominal subcutaneous adipose tissue [Chest-SAT and Abd-SAT], EAT, and Abd-VAT) calculated from chest CT images. RESULTS: We included 1077 patients in the analysis. Patients with risk factors of severe COVID-19 such as old age, male sex, and comorbidities had significantly higher areas of EAT and Abd-VAT. High EAT area but not high Abd-VAT area was significantly associated with COVID-19 severity (adjusted odds ratio (aOR): 2.66, 95 % confidence interval [CI]: 1.19-5.93). There was no strong correlation between BMI and VAT. Patients with high VAT area accounted for 40.7 % of the non-obesity population (BMI < 25 kg/m2). High EAT area was also significantly associated with COVID-19 severity in the non-obesity population (aOR: 2.50, 95 % CI: 1.17-5.34). CONCLUSIONS: Our study indicated that VAT is significantly associated with COVID-19 severity and that EAT is the best potential predictor for risk stratification in COVID-19 among adipose tissue areas. Body composition assessment using EAT is an appropriate marker for identifying obesity patients overlooked by BMI. Considering the next pandemic of the global health crisis, our findings open new avenues for implementing appropriate body composition assessments based on CT imaging.

[A case of advanced lung adenocarcinoma with cavity formation shrunken by bevacizumab added on the 3rd course of 6th-line chemotherapy].

A 65-year-old man was pointed out to have an abnormal lung shadow by chest radiograph in a medical examination in 2007. An extensive examination diagnosed him as a case of advanced lung adenocarcinoma. He was treated by chemotherapy up to the 5th-line(cisplatin+docetaxel→CPT-11+S-1→amrubicin→gemcitabine+vinorelbine→pemetrexed), and the evaluation after the 5th-line treatment revealed disease progression. As he still maintained good performance status, the 6th- line treatment with carboplatin(AUC6, day 1)+paclitaxe(l 200mg/m2, day 1)(Q3W)was administered in March, 2010. The tumor size had been increasing slightly after 2 courses of chemotherapy, although it was within the range of stable disease. Therefore, bevacizumab(15mg/kg, day 1)was added after the 3rd course of treatment, and the tumor began shrinking obviously with cavity formation. Although the positioning of bevacizumab has not been established after 2nd-line treatment for advanced non-small cell lung carcinoma, we experienced a case of good tumor response by adding the bevacizumab in the middle of the 6th-line chemotherapy.

Mutational analysis of GABRG2 in a Japanese cohort with childhood epilepsies.

A few mutations in the gene encoding the gamma 2 subunit of the gamma-aminobutyric acid receptor type A (GABRG2) have been reported in various types of epilepsy. The aim of this study is to investigate the role of GABRG2 in the pathogenesis of childhood epilepsy in a large Japanese cohort. Genetic analysis of GABRG2 was performed on 140 Japanese patients with various childhood epilepsies largely including Dravet syndrome and genetic epilepsy with febrile seizures plus. The mutational analysis identified one novel missense mutation of GABRG2 (c.236A>G: p.N40S) in a patient with generalized tonic-clonic seizures (GTCS). The mutation was heterozygous and replacing a highly conserved Asn residue with a Ser. The affected amino acid was located at residue 40 of the mature GABRG2 protein, which was near the first one of two high-affinity benzodiazepine-binding domains of the gamma2 subunit (Lys-41-Trp-82). This mutation in such an important position may hamper the function of the channel and contribute to the case's pathogenesis of GTCS.

Is breast-feeding of infants advisable for epileptic mothers taking antiepileptic drugs?

Epilepsy is a relatively common maternal complication affecting 0.3-0.5% of pregnant women. For most mothers with epilepsy, the use of antiepileptic drugs (AED) is unavoidable, even during pregnancy and lactation. Therefore, the fetus is indirectly exposed to AED via the placenta and breast milk. AED are also prescribed for female patients with other diseases, such as bipolar disorders. In clinical settings, physicians are frequently questioned whether or not women patients taking AED should breast-feed their offspring. Thus, it is necessary to establish an optimum AED regimen for women taking AED, in particular for those with epilepsy during pregnancy and lactation. In this article, we critically review the effects of AED on infants via breast milk and attempt to provide suggestions for clinicians regarding these effects during breast-feeding, based on the data of transplacental passage of AED, breast milk concentration/maternal serum concentration ratios, AED metabolism in infants and the effects of AED in breast milk on infants.

Liganded T3 receptor ß2 inhibits the positive feedback autoregulation of the gene for GATA2, a transcription factor critical for thyrotropin production.

The serum concentration of thyrotropin (thyroid stimulating hormone, TSH) is drastically reduced by small increase in the levels of thyroid hormones (T3 and its prohormone, T4); however, the mechanism underlying this relationship is unknown. TSH consists of the chorionic gonadotropin α (CGA) and the ß chain (TSHß). The expression of both peptides is induced by the transcription factor GATA2, a determinant of the thyrotroph and gonadotroph differentiation in the pituitary. We previously reported that the liganded T3 receptor (TR) inhibits transactivation activity of GATA2 via a tethering mechanism and proposed that this mechanism, but not binding of TR with a negative T3-responsive element, is the basis for the T3-dependent inhibition of the TSHß and CGA genes. Multiple GATA-responsive elements (GATA-REs) also exist within the GATA2 gene itself and mediate the positive feedback autoregulation of this gene. To elucidate the effect of T3 on this non-linear regulation, we fused the GATA-REs at -3.9 kb or +9.5 kb of the GATA2 gene with the chloramphenicol acetyltransferase reporter gene harbored in its 1S-promoter. These constructs were co-transfected with the expression plasmids for GATA2 and the pituitary specific TR, TRß2, into kidney-derived CV1 cells. We found that liganded TRß2 represses the GATA2-induced transactivation of these reporter genes. Multi-dimensional input function theory revealed that liganded TRß2 functions as a classical transcriptional repressor. Then, we investigated the effect of T3 on the endogenous expression of GATA2 protein and mRNA in the gonadotroph-derived LßT2 cells. In this cell line, T3 reduced GATA2 protein independently of the ubiquitin proteasome system. GATA2 mRNA was drastically suppressed by T3, the concentration of which corresponds to moderate hypothyroidism and euthyroidism. These results suggest that liganded TRß2 inhibits the positive feedback autoregulation of the GATA2 gene; moreover this mechanism plays an important role in the potent reduction of TSH production by T3.

Plasma Cathepsin S and Cathepsin S/Cystatin C Ratios Are Potential Biomarkers for COPD.

Purpose. This study aimed to examine whether plasma levels of cathepsin S or its inhibitor, cystatin C, may serve as biomarkers for COPD. Patients and Methods. We measured anthropometrics and performed pulmonary function tests and chest CT scans on 94 patients with COPD and 31 subjects with productive cough but no airflow obstruction ("at risk"; AR). In these subjects and in 52 healthy nonsmokers (NS) and 66 healthy smokers (HS) we measured plasma concentrations of cathepsin S and cystatin C using an ELISA. Data were analyzed using simple and logistic regression and receiver operating characteristic analyses. Results. Cathepsin S and cystatin C plasma levels were significantly higher in the COPD and AR groups than in the NS and HS groups (p < 0.01). Among the COPD patients and AR subjects, plasma cathepsin S levels and cathepsin S/cystatin C ratios, but not cystatin C levels, were negatively related to severe airflow limitation (% FEV1 predicted < 50%; p = 0.005) and severe emphysema as assessed by low attenuation area (LAA) score on chest CT scans (LAA ≥ 8.0; p = 0.001). Conclusion. Plasma cathepsin S and cathepsin S/cystatin C ratios may serve as potential biomarkers for COPD.

Small Cell Lung Cancer Expressing Glutamate Decarboxylase with Latent Autoimmune Diabetes in Adults.

Small cell lung cancer (SCLC) causes paraneoplastic syndromes, such as diabetes mellitus, by eliciting the expression of various antibodies including anti-glutamate decarboxylase (GAD) antibody. A 62-year-old woman presented to our hospital with a 1-week history of progressive dyspnea and difficulty in walking. Computed tomography showed a tumor obstructing the left bronchus and obstructive lung abscesses with pleural effusions. A biopsy during bronchoscopy revealed SCLC, and the clinical stage was ultimately determined to be IIIB. SCLC was complicated by diabetes mellitus with high titers of serum anti-GAD antibody. An immunohistochemical analysis showed GAD expression in the cancer cells, which is a novel finding.

Inhibition of the ubiquitin-proteasome pathway activates stress kinases and induces apoptosis in renal cancer cells.

The ubiquitin-proteasome pathway plays a critical role in the degradation of cellular proteins related to signal transduction. Cytokine and growth factor-dependent aberrant proliferation has been implicated in renal cell carcinoma (RCC). We hypothesized that inhibiting the proteasome function might activate a proapoptotic signal transduction by modulating the cytokine and growth factor related signal transduction pathway. We therefore investigated the effectiveness of a proteasome inhibitor in the treatment of RCC regarding the involvement of Mitogen-activated protein kinases (MAP kinases), because MAP kinases are major signal transduction molecules that are known to play a pivotal role in cancer cell proliferation or apoptosis triggered by extra-cellular cytokines and growth factors. A proteasome inhibitor, MG132 inhibited the proliferation of RCC cell lines, 786-O and KU20-01 in a time and dose-dependent manner. 786-O cells have truncated von-Hippel Lindau (VHL) tumor suppressor gene protein due to a one base pair deletion at exon 1, whereas KU20-01 cells have a wild-type VHL protein. MG132 induced apoptosis in both cell lines. The inhibition of the ubiquitin-proteasome pathways was confirmed by the accumulation of ubiquitin-tagged proteins. MG132 induced the phosphorylation of ERK at 4 h and thereafter persisted for 8 to 16 h. In contrast, JNK and p38 activation persisted for longer periods and remained enhanced until 24 h. The concomitant activation of effector caspases, caspase-3 and caspase-7 was observed in 786-O cells. The inhibition of the proteasome function can induce apoptosis in RCC irrespective of the VHL protein status. The persistence of JNK and p38 activation may therefore be a unique mechanism underlying MG132 induced apoptosis.

Adsorption removal of pollutants by active cokes produced from sludge in the energy recycle process of wastes.

This study proposes a recycling system of sludge into active cokes and the fundamental examinations for the application were carried out. In the system, active cokes were produced by carbonizing pellets of sludge in a steam stream. Pyrolysis gas yielded by carbonization can be available to a fuel for a steam generation boiler. The exhaust heat from the boiler is used sequentially for drying of sludge. The active cokes are applied to the adsorbent for dioxin removal in exhaust gas from incinerators of wastes, or for purification of gas obtained in a gasification process of wastes, particularly removal of H2S. The used adsorbent is not recycled, but incinerated in the furnace without a desorption process to decompose adsorbed dioxin or to oxidize H2S for a sequential desulfurization process of SO2. Dry pellets of sludge were carbonized in a quartz tube reactor under various atmospheres. The micro pore structure and the adsorption performance of the cokes produced without activation process were examined. The micro pore structure was influenced by the temperature, the sort of flow gas (N2, CO2 and steam) and carbonization time, and the active cokes produced under the condition of the temperature 823 K for 60 min in the steam atmosphere had a largest specific surface area in the diameter less than 5 nm. The amount of benzene adsorption as an alternative substance of dioxin into the active cokes had a similar quality to a commercial active char produced from coal if it was evaluated by adsorption per a unit specific surface area. This fundamental knowledge must be reflected to an optimum design for development of a simple continuous process to produce the active cokes by a fluidized bed type of the carbonization furnace.