Irreversible Aging Dynamics and Generic Phase Behavior of Aqueous Suspensions of Laponite

In this work we study the aging behavior of aqueous suspension of Laponite having 2.8 weight % concentration using rheological tools. At various salt concentration all the samples demonstrate orientational order when observed using crossed polarizers. In rheological experiments we observe inherent irreversibility in the aging dynamics which forces the system not to rejuvenate to the same state in the shear melting experiment carried out at a later date since preparation. The extensive rheological experiments carried out as a function of time elapsed since preparation demonstrate the self similar trend in the aging behavior irrespective of the concentration of salt. We observe that the exploration of the low energy states as a function of aging time is only kinetically affected by the presence of salt. We estimate that the energy barrier to attain the low energy states decreases linearly with increase in the concentration of salt. The observed superposition of all the elapsed time and the salt concentration dependent data suggests that the aging that occurs in low salt concentration systems over a very long period is qualitatively similar to the aging behavior observed in systems with high salt concentration over a shorter period.Comment: 27 pages, 8 figures. Langmuir, in pres

Patient-Reported Outcomes Integrated Within an Electronic Medical Record in Patients With Head and Neck Cancer

PURPOSE: Patient-reported outcome (PRO) tools lead to clinical benefits, including improved overall survival for patients with cancer. However, routine implementation of PROs in clinical practice within the electronic medical record (EMR) by integrated health care delivery systems remains limited. We studied the use of a PRO tool for patients with head and neck cancer (HNC) integrated in an EMR at Kaiser Permanente in Northern California. METHODS: Between August 2017 and December 2019, patients with newly diagnosed HNC were surveyed at baseline, then every 3 months using the Functional Assessment of Cancer Therapy-General 7 and Functional Assessment of Cancer Therapy-Head and Neck (version 4). A medical assistant performed a baseline survey on diagnosis and then notified patients electronically per surveillance protocol. Patients who did not respond to online PRO surveys could complete them via telephone or in-person appointments with medical assistants. Abnormal findings on PRO surveys were referred to appropriate members of the care team or the treating Otolaryngology-Head and Neck Surgery physicians. RESULTS: Two hundred ninety patients received baseline surveys. Patients received up to a maximum of eight subsequent surveys. Of a total of 597 electronic surveys, 585 (97.9%) were completed. The percentage of patients completing each interval survey ranged from 92% to 100%. Multivariate Poisson regression analysis showed patients with English as their primary language and an online secure account were the most likely to complete surveys compared with those patients with non-English as a primary language and without an online account. CONCLUSION: PRO tools can be effectively used within the EMR for patients with HNC with a high response rate provided there is strong engagement from a dedicated member of the care team. This has important implications for designing clinical trials and symptom monitoring in clinical practices that incorporate EMRs

Longitudinal analysis of physical function in older adults: the effects of physical inactivity and exercise training

Lack of exercise contributes to systemic inflammation and is a major cause of chronic disease. The long-term impact of initiating and sustaining exercise in late life, as opposed to sustaining a sedentary lifestyle, on whole-body health measures such as physical performance is not well known. This is an exploratory study to compare changes in physical performance among older adults initiating exercise late in life versus inactive older adults. Data from two observational cohorts were included in this analysis, representing two activity groups. The Active group cohort comprises older adults (n = 318; age 72.5 ± 7.2 years) enrolled in a supervised exercise program, “Gerofit.” The inactive group comprises older adults (n = 146; age 74.5 ± 5.5 years) from the Italian study “Act on Ageing” (AOA) who self-reported being inactive. Participants in both groups completed physical performance battery at baseline and 1-year including: 6-min walk test, 30-s chair stand, and timed up-and-go. Two-sample t-tests measured differences between Gerofit and AOA at baseline and 1-year across all measures. Significant between-group effects were seen for all performance measures (ps = 0.001). The AOA group declined across all measures from baseline to 1 year (range −18% to −24% change). The Gerofit group experienced significant gains in function for all measures (range +10% to +31% change). Older adults who initiated routine, sustained exercise were protected from age-related declines in physical performance, while those who remained sedentary suffered cumulative deficits across strength, aerobic endurance, and mobility. Interventions to reduce sedentary behaviors and increase physical activity are both important to promote multi-system, whole-body health

Dr. PIAS: an integrative system for assessing the druggability of protein-protein interactions

<p>Abstract</p> <p>Background</p> <p>The amount of data on protein-protein interactions (PPIs) available in public databases and in the literature has rapidly expanded in recent years. PPI data can provide useful information for researchers in pharmacology and medicine as well as those in interactome studies. There is urgent need for a novel methodology or software allowing the efficient utilization of PPI data in pharmacology and medicine.</p> <p>Results</p> <p>To address this need, we have developed the 'Druggable Protein-protein Interaction Assessment System' (Dr. PIAS). Dr. PIAS has a meta-database that stores various types of information (tertiary structures, drugs/chemicals, and biological functions associated with PPIs) retrieved from public sources. By integrating this information, Dr. PIAS assesses whether a PPI is druggable as a target for small chemical ligands by using a supervised machine-learning method, support vector machine (SVM). Dr. PIAS holds not only known druggable PPIs but also all PPIs of human, mouse, rat, and human immunodeficiency virus (HIV) proteins identified to date.</p> <p>Conclusions</p> <p>The design concept of Dr. PIAS is distinct from other published PPI databases in that it focuses on selecting the PPIs most likely to make good drug targets, rather than merely collecting PPI data.</p