DNA methylation meta-analysis confirms the division of the genome into two functional groups

Based on a meta-analysis of human genome methylation data, we tested a theoretical model in which aging is explained by the redistribution of limited resources in cells between two main tasks of the organism: its selfsustenance based on the function of the Housekeeping Gene Group (HG) and functional differentiation, provided by the (IntG) integrative gene group. A meta-analysis of methylation of 100 genes, 50 in the HG group and 50 in IntG, showed significant differences (p<0.0001) between our groups in the level of absolute methylation values of genes bodies and its promoters. We showed a reliable decrease of absolute methylation values in IntG with rising age in contrast to HG, where this level remained constant. The one-sided decrease in methylation in the IntG group is indirectly confirmed by the dispersion data analysis, which also decreased in the genes of this group. The imbalance between HG and IntG in methylation levels suggests that this IntG-shift is a side effect of the ontogenesis grownup program and the main cause of aging. The theoretical model of functional genome division also suggests the leading role of slow dividing and post mitotic cells in triggering and implementing the aging process.Published versio

Elust, olust ja tõuaretusest. 3. raamat

Järg raamatutele "Põllumajandusdoktor professor Olev Saveli : personaalnimestik" (1998) ja "Eesti vajab tõuaretust" (2003)

Õpetajate stressi tase ja sellega seotud faktorid eri koolitüüpide võrdluses

http://www.ester.ee/record=b4511873*es

Leitura na escola : as representações e praticas de professoras

Orientador : Ezequiel Theodoro da SilvaTese (doutorado) - Universidade Estadual de Campinas, Faculdade de EducaçãoDoutorad

Performance of Primary Care Physicians and Other Providers on Key Process Measures in the Treatment of Diabetes

OBJECTIVE Studies have shown that patients without a consistent primary care provider have inferior outcomes. However, little is known about the mechanisms for these effects. This study aims to determine whether primary care physicians (PCPs) provide more frequent medication intensification, lifestyle counseling, and patient encounters than other providers in the primary care setting. RESEARCH DESIGN AND METHODS This retrospective cohort study included 584,587 encounters for 27,225 patients with diabetes and elevated A1C, blood pressure, and/or LDL cholesterol monitored for at least 2 years. Encounters occurred at primary care practices affiliated with two teaching hospitals in eastern Massachusetts. RESULTS Of the encounters documented, 83% were with PCPs, 13% were with covering physicians, and 5% were with midlevel providers. In multivariable analysis, the odds of medication intensification were 49% (P < 0.0001) and 26% (P < 0.0001) higher for PCPs than for covering physicians and midlevel providers, respectively, whereas the odds of lifestyle counseling were 91% (P < 0.0001) and 21% (P = 0.0015) higher. During visits with acute complaints, covering physicians were even less likely, by a further 52% (P < 0.0001), to intensify medications, and midlevel providers were even less likely, by a further 41% (P < 0.0001), to provide lifestyle counseling. Compared with PCPs, the hazard ratios for time to the next encounter after a visit without acute complaints were 1.11 for covering physicians and 1.19 for midlevel providers (P < 0.0001 for both). CONCLUSIONS PCPs provide better care through higher rates of medication intensification and lifestyle counseling. Covering physicians and midlevel providers may enable more frequent encounters when PCP resources are constrained

A bi-directional adversarial explainability for decision support

In this paper we present an approach to creating Bi-directional Decision Support System (DSS) as an intermediary between an expert (U) and a machine learning (ML) system for choosing an optimal solution. As a first step, such DSS analyzes the stability of expert decision and looks for critical values in data that support such a decision. If the expert’s decision and that of a machine learning system continue to be different, the DSS makes an attempt to explain such a discrepancy. We discuss a detailed description of this approach with examples. Three studies are included to illustrate some features of our approach.Accepted manuscrip

Химико-санитарное исследование продажного молока в г. Юрьеве : диссертация на степень магистра фармации

http://tartu.ester.ee/record=b2172373~S1*es

Methylation Level Differences between the Housekeeping and the Specialized Genes Identified during Ontogenesis

The genome methylation is one of the leading areas in the study of aging. The theoretical model we proposed earlier explains aging by redistribution of limited resources between two main tasks of the organism: its self-sustenance based on the function of the housekeeping gene group (HG) and functional differentiation provided by the IntG integrative gene group. To test our model, we used methylation level data of 100 genes, (gene body and its promoter) of 50 in the HG group and 50 in IntG. We found reliable differences ( p<0.0001) between our groups in the level of absolute methylation values, more pronounced in the promoters of the studied genes. We showed their significant decrease in IntG with age in contrast to HG, where this level remained relatively constant. The decrease in methylation in the IntG group is indirectly confirmed by the analysis of data variance, which also decreased in the genes of this group. The increasing imbalance between HG and IntG by methylation levels suggests that this IntG-shift reflects a side effect of the ontogenesis program and its connection to the main cause of aging.Othe

Clinical Outcome of Breast Cancer Occurring after Treatment for Hodgkin's Lymphoma: Case-Control Analysis

Background: To evaluate diagnosis, management and outcome of breast cancer (BC) occurring after irradiation for Hodgkin's lymphoma (HL). Methods: 39 cases of BC in 28 HL survivors were retrospectively reviewed. 21 patients were included in a case-control analysis. Results: The median age at diagnosis of HL and BC was 25.3 and 45.3 years, respectively. The median interval to develop BC was 16.1 years. Eleven women (39.2%) had bilateral disease. Mode of detection of the index breast cancers was by mammographic screening in 17 patients (60.7%), palpable lump in 8 patients (28.6%), clinical examination in two patients (7.1%), and unknown in one patient (3.6%). Case-control analysis showed that histological features and prognosis of BC after HL were similar to those of primary BC, however, for BC after HL, mastectomy was the predominant surgery (P = .001) and adjuvant radiotherapy and anthracycline-based chemotherapy were less frequently used as compared to primary BC (P < .001 and .003, respectively). Conclusion: The previous history of HL does not appear to be a poor prognostic factor for BC occurring thereafter