77 research outputs found

    Effect of Antrodia

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    Antrodia camphorata is a rare Taiwanese medicinal mushroom. Antrodia camphorata extract has been reported to exhibit antioxidant, anti-inflammation, antimetastasis, and anticancer activities and plays a role in liver fibrosis, vasorelaxation, and immunomodulation. Critical vascular inflammation leads to vascular dysfunction and cardiovascular diseases, including abdominal aortic aneurysms, hypertension, and atherosclerosis. Platelet activation plays a crucial role in intravascular thrombosis, which is involved in a wide variety of cardiovascular diseases. However, the effect of Antrodia camphorata on platelet activation remains unclear. We examined the effects of Antrodia camphorata on platelet activation. In the present study, Antrodia camphorata treatment (56–224 μg/mL) inhibited platelet aggregation induced by collagen, but not U46619, an analogue of thromboxane A2, thrombin, and arachidonic acid. Antrodia camphorata inhibited collagen-induced calcium (Ca2+) mobilization and phosphorylation of protein kinase C (PKC) and Akt. In addition, Antrodia camphorata significantly reduced the aggregation and phosphorylation of PKC in phorbol-12, 13-dibutyrate (PDBu) activated platelets. In conclusion, Antrodia camphorata may inhibit platelet activation by inhibiting of Ca2+ and PKC cascade and the Akt pathway. Our study suggests that Antrodia camphorata may be a potential therapeutic agent for preventing or treating thromboembolic disorders

    Can We Distinguish Age-Related Frailty from Frailty Related to Diseases? Data from the MAPT Study

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    Abstract Background No study has tried to distinguish subjects that become frail due to diseases (frailty related to diseases) or in the absence of specific medical events; in this latter case, it is possible that aging process would act as the main frailty driver (age-related frailty). Objectives To classify subjects according to the origin of physical frailty: age-related frailty, frailty related to diseases, frailty of uncertain origin, and to compare their clinical characteristics. Materials and methods We performed a secondary analysis of the Multidomain Alzheimer Preventive Trial (MAPT), including 195 subjects ≥70 years non-frail at baseline who became frail during a 5-year follow-up (mean age 77.8 years ± 4.7; 70% female). Physical frailty was defined as presenting ≥3 of the 5 Fried criteria: weight loss, exhaustion, weakness, slowness, low physical activity. Clinical files were independently reviewed by two different clinicians using a standardized assessment method in order to classify subjects as: "age-related frailty", "frailty related to diseases" or "frailty of uncertain origin". Inconsistencies among the two raters and cases of uncertain frailty were further assessed by two other experienced clinicians. Results From the 195 included subjects, 82 (42%) were classified as age-related frailty, 53 (27%) as frailty related to diseases, and 60 (31%) as frailty of uncertain origin. Patients who became frail due to diseases did not differ from the others groups in terms of functional, cognitive, psychological status and age at baseline, however they presented a higher burden of comorbidity as measured by the Cumulative Illness Rating Scale (CIRS) (8.20 ± 2.69; vs 6.22 ± 2.02 frailty of uncertain origin; vs. 3.25 ± 1.65 age-related frailty). Time to incident frailty (23.4 months ± 12.1 vs. 39.2 ± 19.3 months) and time spent in a pre-frailty condition (17.1 ± 11.4 vs 26.6 ± 16.6 months) were shorter in the group of frailty related to diseases compared to age-related frailty. Orthopedic diseases (n=14, 26%) were the most common pathologies leading to frailty related to diseases, followed by cardiovascular diseases (n=9, 17%) and neurological diseases (n = 8, 15%). Conclusion People classified as age-related frailty and frailty related to diseases presented different frailty-associated indicators. Future research should target the underlying biological cascades leading to these two frailty classifications, since they could ask for distinct strategies of prevention and management

    Urinary levels of organophosphate flame retardants metabolites in a young population from Southern Taiwan and potential health effects

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    BackgroundOrganophosphate flame retardants (OPFRs) are widely distributed in the environment and their metabolites are observed in urine, but little is known regarding OPFRs in a broad-spectrum young population from newborns to those aged 18 years.ObjectivesInvestigate urinary levels of OPFRs and OPFR metabolites in Taiwanese infants, young children, schoolchildren, and adolescents within the general population.MethodsDifferent age groups of subjects (n=136) were recruited from southern Taiwan to detect 10 OPFR metabolites in urine samples. Associations between urinary OPFRs and their corresponding metabolites and potential health status were also examined.ResultsThe mean level of urinary Σ10 OPFR in this broad-spectrum young population is 2.25 μg/L (standard deviation (SD) of 1.91 μg/L). Σ10 OPFR metabolites in urine are 3.25 ± 2.84, 3.06 ± 2.21, 1.75 ± 1.10, and 2.32 ± 2.29 μg/L in the age groups comprising of newborns, 1-5 year-olds, 6-10 year-olds, and 11-18 year-olds, respectively, and borderline significant differences were found in the different age groups (p=0.125). The OPFR metabolites of TCEP, BCEP, DPHP, TBEP, DBEP, and BDCPP predominate in urine and comprise more than 90% of the total. TBEP was highly correlated with DBEP in this population (r=0.845, p<0.001). The estimated daily intake (EDI) of Σ5OPFRs (TDCPP, TCEP, TBEP, TNBP, and TPHP) was 2,230, 461, 130, and 184 ng/kg bw/day for newborns, 1-5 yr children, 6-10 yr children, and 11-17 yr adolescents, respectively. The EDI of Σ5OPFRs for newborns was 4.83-17.2 times higher than the other age groups. Urinary OPFR metabolites are significantly correlated with birth length and chest circumference in newborns.ConclusionTo our knowledge, this is the first investigation of urinary OPFR metabolite levels in a broad-spectrum young population. There tended to be higher exposure rates in both newborns and pre-schoolers, though little is known about their exposure levels or factors leading to exposure in the young population. Further studies should clarify the exposure levels and factor relationships

    Robust estimation of bacterial cell count from optical density

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    Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

    Effect of polypharmacy, potentially inappropriate medications and anticholinergic burden on clinical outcomes: a retrospective cohort study

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    Background: Polypharmacy, potentially inappropriate medications and anticholinergic burden (as assessed by the anticholinergic risk scale) are commonly used as quality indicators of pharmacotherapy in older adults. However, their role in clinical practice is undefined. We sought to investigate longitudinal changes in these indicators and their effects on clinical outcomes. ;Methods: We used Taiwan's Longitudinal Health Insurance Database to retrieve quarterly information about drug use for people aged 65 years and older over a 10-year period. We analyzed the association between indicators and all-cause admission to hospital, fracture-specific admission to hospital and death using generalized estimating equations. ;Results: The study cohort comprised 59 042 older adults (65-74 yr: 39 358 [66.7%], 75-84 yr: 16 903 [28.6%], and >= 85 yr: 2781 [4.7%]). The mean changes in polypharmacy over the course of the study were greatest among patients aged 65-74 years (absolute difference +2.14, 95% confidence interval [CI] 2.10-2.19), then among those aged 75-84 yr (+1.79, 95% CI 1.70-1.88), and finally those aged 85 years and older (+0.71, 95% CI 0.36-1.05). The number of potentially inappropriate medications increased among patients aged 65-74 years (+0.16 [0.15-0.18]) and 75-84 years (+0.09 [0.06-0.08]), but decreased in those aged 85 years and older (-0.15 [-0.26 to -0.04]). Polypharmacy, potentially inappropriate medications and anticholinergic risk scale were each associated with an increased risk of admission to hospital, but not with death. In addition, both polypharmacy (5-9 drugs: odds ratio [OR] 1.18, 95% CI 1.12-1.24; >= 10 drugs: OR 1.54, 95% CI 1.42-1.66) and anticholinergic burden (score 1-2: 1.39, 95% CI 1.31-1.48; >= 3: 1.53, 95% CI 1.41-1.66) showed dose-response relations with fracture-specific admission to hospital. ;Interpretation: The total number of drugs taken (polypharmacy), number of potentially inappropriate medications and anticholinergic risk changed during follow-up and varied across age groups in this cohort of older adult patients. These indicators showed dose-response relations with admission to hospital, but not with death

    Functional and Mental Health Outcomes of the Joint Effects of Spousal Health: The Potential Threats of "Concordant Frailty"

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    Objectives: Existing studies have indicated that caring for a person with disabilities in a family could result in strong adverse impacts on the health of his or her spouse. However, little is known about the potential joint burden and interactive patterns in a family when both spouses are in poor health. The objective of this study was to evaluate the impacts of self and spousal health statuses on the physical and mental health outcomes of older people in Taiwan. ;Design: Retrospective observational study. ;Setting: The Social Environment and Biomarkers of Aging Study (SEBAS), Taiwan. ;Participants: Data of 1123 study participants from the SEBAS were retrieved for analysis and all participants were divided into 4 groups based on their self-rated and spousal health status: good self-good spousal health (GG), good self-poor spousal health (GP), poor self-good spousal health (PG), and poor self-poor spousal health (PP). ;Measurements: Multinomial logistic regression models were used to evaluate the associations of the different health statuses of couples to disabilities of physical function, daily activity disabilities (activities of daily living, or ADLs, and instrumental activities of daily living, or IADLs) and depressive symptoms. Subgroup analyses were conducted for middle-aged (aged 53 to 64) and older (aged 65 and older) adults to examine whether the impacts of spousal health statuses on the physical and mental health outcomes increased with age. ;Results: The adjusted multinomial logistic regressions showed that people in the PP group were at the highest risk for difficulties in physical function, daily activities, and depressive symptoms. This association was more significant in the elderly population than the middle-aged group. Elderly PP couples were associated with a 7-fold increase in risk of acquiring a disability of physical function (adjusted odds ratio [aOR] 7.5, 95% confidence interval [CI] 2.4-23.6, P < .01), an 8-fold increase in risk of an IADL disability (aOR 8.5, 95% CI 4.1-17.5, P <. 01), a 47-fold increase in risk of an ADL disability (aOR 47.3, 95% CI 5.8-387.7, P < .01), and a 10-fold increase in risk of depressive symptoms (aOR 10.6, 95% CI 4.8-23.4, P < .01), compared with the elderly GG groups. ;Conclusion: This is the first study to demonstrate that when both people in a couple have poor health status, it is a significant risk factor regarding difficulties in physical activities, daily activity disabilities, and depressive symptoms. This effect was particularly stronger in elderly couples compared with middle-aged couples. (C) 2016 AMDA - The Society for Post-Acute and Long-Term Care Medicine
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