Neurodegenerative diseases, including Alzheimer’s, Parkinson’s, Huntington’s, and amyotrophic lateral sclerosis, are characterized by a progressive loss of selective neuron subtypes in the central ...nervous system (CNS). Although various factors account for the initiation and development of these diseases, accumulating evidence shows that impaired mitochondrial function is a prominent and common mechanism. Mitochondria play a critical role in neurons and are involved in energy production, cellular metabolism regulation, intracellular calcium homeostasis, immune responses, and cell fate. Thus, cells in the CNS heavily rely on mitochondrial integrity. Many aspects of mitochondrial dysfunction are manifested in neurodegenerative diseases, including aberrant mitochondrial quality control (mitoQC), mitochondrial-driven inflammation, and bioenergetic defects. Herein, we briefly summarize the molecular basis of mitoQC, including mitochondrial proteostasis, biogenesis, dynamics, and organelle degradation. We also focus on the research, to date, regarding aberrant mitoQC and mitochondrial-driven inflammation in several common neurodegenerative diseases. In addition, we outline novel therapeutic strategies that target aberrant mitoQC in neurodegenerative diseases.
Poor outcomes for people with diabetes have necessitated targeted quality improvement (QI) projects to affect change. Project ECHO Diabetes is a tele-education and tele-mentoring program for ...community health clinics in California and Florida serving under-resourced patients with diabetes who lack routine access to specialty care. The model provided a unique opportunity to undertake a multi-site QI initiative, where 12 community clinics participated in measuring and improving quality of care. Using a modified-Delphi approach, clinic providers rated various QI measures on their validity and feasibility. A total of 18 measures were selected, and each clinic chose its own measures to track throughout the one-year initiative. The number of measures each clinic focused on ranged from 1 to 9, with a median of 3. Quarterly, clinics met remotely to report performance based on selected measures and discuss their efforts, successes, and setbacks. At the end of the QI year, clinics reported widespread improvements across structural, process, and outcome measures (Table) . Remarkable improvement ideas came from the sharing of best practices during the remote tele-ECHO clinic sessions and the changes made in the data systems used to track important measures. The Project ECHO Diabetes tele-education model has the potential to improve care for people living with diabetes in clinics serving under-resourced communities.
Disclosure
C.Wang: None. L.Figg: None. C.Anez-zabala: None. E.Sheehan: None. S.C.Westen: None. C.E.Deremer: Research Support; Pfizer-BMS Alliance, Stock/Shareholder; Portola Pharmaceuticals, Inc. A.Bernier: None. W.T.Donahoo: None. A.F.Walker: None. E.Lewit: n/a. C.Clark: None. D.M.Maahs: Advisory Panel; Abbott Diabetes, Eli Lilly and Company, Medtronic, Novo Nordisk, Sanofi, Consultant; Aditx Therapeutics, Inc., Biospex. M.J.Haller: Advisory Panel; SAB Biotherapeutics , Consultant; MannKind Corporation, Sanofi. A.Addala: None. R.Lal: Advisory Panel; Provention Bio, Inc., Consultant; Abbott Diabetes, Biolinq, Capillary Biomedical, Inc., Deep Valley Labs, Gluroo, Morgan Stanley, Tidepool. N.Cuttriss: Advisory Panel; American Diabetes Association, Board Member; American Youth Understanding Diabetes Abroad , Consultant; Cecelia Health, Leona M. and Harry B. Helmsley Charitable Trust, Med-IQ. L.G.Baer: None.
Funding
The Leona M. and Harry B. Helmsley Charitable Trust
Introduction: The use of telemedicine exponentially increased during the COVID-pandemic as it provided easier access as well as the provision of safety via social distancing. A 12-week intense ...telemedicine diabetic Bootcamp was therefore launched for patients with uncontrolled DM intended for high-quality outpatient diabetic care.
Methods: Patients with DM seen at ambulatory clinics with HbA1c > 8.0%, were voluntarily enrolled from September 2020 to November 2021. The dietitians and diabetic educators conducted biweekly visits via telehealth. Patient demographics, HbA1c, BMI, BP were compared before and after the intervention.
Results: A total of 134 patients were included for analysis and 94 patients (70.2%) completed the visits. Mean HbA1c change was -2.09% ± 2.4%, and HbA1c reduction was similarly observed across different age groups, gender, ethnicity, BMI, referred clinic types Table 1. A greater HbA1c reduction in patients who completed the visits was noted although it was not statistically significant. We found a negative correlation between the initial HbA1c and the change of HbA1c (coefficient -0.7709, p<0.0001, r2= 0.3899) . No significant BMI or MAP change was observed.
Conclusions: This quality improvement project demonstrated an improvement in HbA1c for all poorly controlled diabetic patients, regardless of patient characteristics. Moreover, higher initial HbA1c was associated with a greater HbA1c reduction.
Disclosure
Y.Chen: None. U.C.Udeh: None. K.Rajak: None. A.Amirian: None. A.Atrash: None. K.Yari: None. R.Joshi: n/a.
The purpose of this global study is to investigate the validity of Dr. Ishikawa's statement that "95% of problems in processes can be solved using the 7 Quality Control (QC) tools" in organizations. ...An online survey instrument was developed, disseminated, and responded to by a total of 456 senior quality professionals from five different continents. The main finding of this article suggests that less than 25% of participants perceived that the seven tools of QC can solve above 95% of quality problems while 40% of quality professionals stated that they had incorrectly applied the tools "right first time" during the problem solving. Pareto analysis was the most widely used tool across all sectors while the least used tools are scatter diagrams and stratification. The seven QC tools were widely utilized in production or manufacturing areas but least applied in IT and finance functions. The common benefits from the use of seven basic tools of QC in all sectors include: providing structure to the problem-solving efforts; aids problem solving and helps in problem definition, measurement, and analysis. This article presents a list of critical success factors (CSFs) required for the proper application of the seven QC tools including having management support and a commitment to tool usage as well as having a continuous improvement initiative to encourage tool usage. This article is the first global research focused on investigating Dr. Ishikawa's statement: "95% of problems in processes can be solved using the 7 QC tools." The findings further facilitate an important first step toward understanding the applicability, benefits, CSFs, and challenges to utilizing these tools in organizations across sectors and globally.
Introduction
The metabolomics quality assurance and quality control consortium (mQACC) is enabling the identification, development, prioritization, and promotion of suitable reference materials (RMs) ...to be used in quality assurance (QA) and quality control (QC) for untargeted metabolomics research.
Objectives
This review aims to highlight current RMs, and methodologies used within untargeted metabolomics and lipidomics communities to ensure standardization of results obtained from data analysis, interpretation and cross-study, and cross-laboratory comparisons. The essence of the aims is also applicable to other ‘omics areas that generate high dimensional data.
Results
The potential for game-changing biochemical discoveries through mass spectrometry-based (MS) untargeted metabolomics and lipidomics are predicated on the evolution of more confident qualitative (and eventually quantitative) results from research laboratories. RMs are thus critical QC tools to be able to assure standardization, comparability, repeatability and reproducibility for untargeted data analysis, interpretation, to compare data within and across studies and across multiple laboratories. Standard operating procedures (SOPs) that promote, describe and exemplify the use of RMs will also improve QC for the metabolomics and lipidomics communities.
Conclusions
The application of RMs described in this review may significantly improve data quality to support metabolomics and lipidomics research. The continued development and deployment of new RMs, together with interlaboratory studies and educational outreach and training, will further promote sound QA practices in the community.
In this study, we employed Q Exactive to determine the main differential metabolites of Magnoliae Officinalis Cortex du-ring the "sweating" process. Further, we quantified the color parameters and ...determined the activities of polyphenol oxidase(PPO), peroxidase(POD), and tyrosinase of Magnoliae Officinalis Cortex during the "sweating" process. Gray correlation analysis was performed for the color, chemical composition, and enzyme activity to reveal the effect of enzymatic reaction on the color of Magnoliae Officinalis Cortex during the "sweating" process. Magnoliae Officinalis Cortex sweating in different manners showed similar metabolite changes. The primary metabolites that changed significantly included amino acids, nucleotides, and sugars, and the secondary metabolites with significant changes were phenols and phenylpropanoids. Despite the different sweating methods, eleven compounds were commonly up-regulated, including L-glutamic acid, acetylarginine, hypoxanthine, and xanthine; six compounds were commonly down-re-gulated, including L-arginine, L-aspartic acid, and phenylalanine. The brightness value(L~*), red-green value(a~*), and yellow-blue value(b~*) of Magnoliae Officinalis Cortex kept decreasing during the "sweating" process. The changes in the activities of PPO and POD during sweating were consistent with those in the color parameter values. The gray correlation analysis demonstrated that the main differential metabolites such as amino acids and phenols were closely related to the color parameters L~*, a~* and b~*; POD was correlated with amino acids and phenols; PPO had strong correlation with phenols. The results indicated that the color change of Magnoliae Officinalis Cortex during "sweating" was closely related to the reactions of enzymes dominated by PPO and POD. The study analyzed the correlations among the main differential metabolites, color parameters, and enzyme activities of Magnoliae Officinalis Cortex in the "sweating" process. It reveals the common law of material changes and ascertains the relationship between color changes and enzymatic reactions of Magnoliae Officinalis Cortex during "sweating". Therefore, this study provides a reference for studying the "sweating" mechanism of Magnoliae Officinalis Cortex and is of great significance to guarantee the quality of Magnoliae Officinalis Cortex.
Porphyromonas gingivalis (P. gingivalis) is a key pathogen of periodontitis. Increasing evidence shows that P. gingivalis signals to mitochondria in periodontal cells, including gingival epithelial ...cells, gingival fibroblast cells, immune cells, etc. Mitochondrial dysfunction affects the cellular state and participates in periodontal inflammatory response through the aberrant release of mitochondrial contents. In the current review, it was summarized that P. gingivalis induced mitochondrial dysfunction by altering the mitochondrial metabolic state, unbalancing mitochondrial quality control, prompting mitochondrial reactive oxygen species (ROS) production, and regulating mitochondria-mediated apoptosis. This review outlines the impacts of P. gingivalis and its virulence factors on the mitochondrial function of periodontal cells and their role in periodontitis.
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