Protective Effect of Eicosapentaenoic Acid on Insulin Resistance in Hyperlipidemic Patients and on the Postoperative Course of Cardiac Surgery Patients: The Possible Involvement of Adiponectin

Accumulated studies have shown that ω-3 polyunsaturated fatty acids such as eicosapentaenoic acid (EPA) have protective roles against inflammatory responses such as hyperlipidemia, diabetes mellitus (DM) and cardiovascular diseases. Here we examined the effects of administering EPA to hyperlipidemic patients and other patients undergoing cardiac surgery to determine whether this treatment would increase plasma EPA levels and to clarify the association between EPA treatment and adiponectin production in hyperlipidemic patients. We also assessed the effect of preoperative EPA administration on postoperative adverse events such as postoperative atrial fibrillation (POAF) and postoperative infection in the cardiac surgery patients. The EPA administration significantly increased the serum EPA concentrations in both patient populations (p＜0.001). In the hyperlipidemic patients, the EPA administration significantly increased plasma adiponectin levels (p＜0.05), accompanied by a decrease in insulin resistance designated by the HOMA-IR (homeostasis model assessment of insulin resistance) score (p＜0.05) and Hs-CRP (high sensitivity C-reactive protein) value (p＜0.05). In the cardiac surgery patients, no significant effect of EPA on cardiac adverse events such as POAF was observed. However, our results clearly demonstrated that both the neutrophil-to-lymphocyte ratio and the 2nd-line antibiotic requirement in the EPA group were significantly decreased compared to the untreated control group (p＜0.05). We suggest that EPA administration may exert anti-inflammatory effects in patients with hyperlipidemia and in those undergoing cardiac surgery, possibly through an increase in plasma adiponectin levels

Collagen-VI supplementation by cell transplantation improves muscle regeneration in Ullrich congenital muscular dystrophy model mice

6型コラーゲンを補う細胞移植がウルリッヒ型先天性筋ジストロフィーモデルマウスの病態を改善する. 京都大学プレスリリース. 2021-08-24.iPS cells show therapeutic benefits for a rare muscle dystrophy. 京都大学プレスリリース. 2021-08-24.[Background] Mesenchymal stromal cells (MSCs) function as supportive cells on skeletal muscle homeostasis through several secretory factors including type 6 collagen (COL6). Several mutations of COL6A1, 2, and 3 genes cause Ullrich congenital muscular dystrophy (UCMD). Skeletal muscle regeneration deficiency has been reported as a characteristic phenotype in muscle biopsy samples of human UCMD patients and UCMD model mice. However, little is known about the COL6-dependent mechanism for the occurrence and progression of the deficiency. The purpose of this study was to clarify the pathological mechanism of UCMD by supplementing COL6 through cell transplantation. [Methods] To test whether COL6 supplementation has a therapeutic effect for UCMD, in vivo and in vitro experiments were conducted using four types of MSCs: (1) healthy donors derived-primary MSCs (pMSCs), (2) MSCs derived from healthy donor induced pluripotent stem cell (iMSCs), (3) COL6-knockout iMSCs (COL6KO-iMSCs), and (4) UCMD patient-derived iMSCs (UCMD-iMSCs). [Results] All four MSC types could engraft for at least 12 weeks when transplanted into the tibialis anterior muscles of immunodeficient UCMD model (Col6a1KO) mice. COL6 protein was restored by the MSC transplantation if the MSCs were not COL6-deficient (types 1 and 2). Moreover, muscle regeneration and maturation in Col6a1KO mice were promoted with the transplantation of the COL6-producing MSCs only in the region supplemented with COL6. Skeletal muscle satellite cells derived from UCMD model mice (Col6a1KO-MuSCs) co-cultured with type 1 or 2 MSCs showed improved proliferation, differentiation, and maturation, whereas those co-cultured with type 3 or 4 MSCs did not. [Conclusions] These findings indicate that COL6 supplementation improves muscle regeneration and maturation in UCMD model mice

HbA1c and telemedicine during COVID-19

Aims/Introduction: To investigate whether the COVID-19 pandemic affected behavioral changes and glycemic control in patients with diabetes and to conduct a survey of telemedicine during the pandemic. Materials and Methods: In this retrospective study, a total of 2,348 patients were included from 15 medical facilities. Patients were surveyed about their lifestyle changes and attitudes toward telemedicine. Hemoglobin A1c (HbA1c) levels were compared among before (from June 1 to August 31, 2019) and in the first (from June 1 to August 31, 2020) and in the second (from June 1 to August 31, 2021) year of the pandemic. A survey of physician attitudes toward telemedicine was also conducted. Results: The HbA1c levels were comparable between 2019 (7.27 ± 0.97%), 2020 (7.28 ± 0.92%), and 2021 (7.25 ± 0.94%) without statistical difference between each of those 3 years. Prescriptions for diabetes medications increased during the period. The frequency of eating out was drastically reduced (51.7% in 2019; 30.1% in 2020), and physical activity decreased during the pandemic (48.1% in 2019; 41.4% in 2020; 43.3% in 2021). Both patients and physicians cited increased convenience and reduced risk of infection as their expectations for telemedicine, while the lack of physician–patient interaction and the impossibility of consultation and examination were cited as sources of concern. Conclusions: Our data suggest that glycemic control did not deteriorate during the COVID-19 pandemic with appropriate intensification of diabetes treatment in patients with diabetes who continued to attend specialized diabetes care facilities, and that patients and physicians shared the same expectations and concerns about telemedicine

Predicting perioperative venous thromboembolism in Japanese gynecological patients.

To develop a convenient screening method that can predict perioperative venous thromboembolism (VTE) and identify patients at risk of fatal perioperative pulmonary embolism (PE).Patients hospitalized for gynecological abdominal surgery (n = 183) underwent hematology tests and multidetector computed tomography (MDCT) to detect VTE. All statistical analyses were carried out using the SPSS software program (PASWV19.0J).The following risk factors for VTE were identified by univariate analysis: plasmin-alpha2-plasmin inhibitor complex (PIC), thrombin-antithrombin III complex (TAT), and prolonged immobility (all p<0.001); age, neoadjuvant chemotherapy (NAC), malignancy, hypertension, past history of VTE, and hormone therapy (all p<0.01); and hemoglobin, transverse tumor diameter, ovarian disease, and menopause (all p<0.05). Multivariate analysis using these factors revealed that PIC, age, and transverse tumor diameter were significant independent determinants of the risk of VTE. We then calculated the incidence rate of perioperative VTE using PIC and transverse tumor diameter in patient groups stratified by age. In patients aged ≤40 years, PIC ≥1.3 µg/mL and a transverse tumor diameter ≥10 cm identified the high-risk group for VTE with an accuracy of 93.6%. For patients in their 50 s, PIC ≥1.3 µg/mL identified a high risk of VTE with an accuracy of 78.2%. In patients aged ≥60 years, a transverse tumor diameter ≥15 cm (irrespective of PIC) or PIC ≥1.3 µg/mL identified the high-risk group with an accuracy of 82.4%.We propose new screening criteria for VTE risk that are based on PIC, transverse tumor diameter, and age. Our findings suggest the usefulness of these criteria for predicting the risk of perioperative VTE and for identifying patients with a high risk of fatal perioperative PE

Comprehensive Serum Glycopeptide Spectra Analysis (CSGSA): A Potential New Tool for Early Detection of Ovarian Cancer

Objectives: To conduct a comprehensive glycopeptide spectra analysis of serum between cancer and non-cancer patients to identify early biomarkers of epithelial ovarian cancer (EOC). Methods: Approximately 30,000 glycopeptide peaks were detected from the digested serum glycoproteins of 39 EOC patients (23 early-stage, 16 advanced-stage) and 45 non-cancer patients (27 leiomyoma and ovarian cyst cases, 18 endometrioma cases) by liquid chromatography mass spectrometry (LC&#8722;MS). The differential glycopeptide peak spectra were analyzed to distinguish between cancer and non-cancer groups by employing multivariate analysis including principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and heat maps. Results: Examined spectral peaks were filtered down to 2281 serum quantitative glycopeptide signatures for differentiation between ovarian cancer and controls using multivariate analysis. The OPLS-DA model using cross-validation parameters R2 and Q2 and score plots of the serum samples significantly differentiated the EOC group from the non-cancer control group. In addition, women with early-stage clear cell carcinoma and endometriomas were clearly distinguished from each other by OPLS-DA as well as by PCA and heat maps. Conclusions: Our study demonstrates the potential of comprehensive serum glycoprotein analysis as a useful tool for ovarian cancer detection