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PubMed1993

Local variations in old age care in the welfare state: the case of Sweden.

Swedish local municipalities are responsible for the provision of social welfare, including old age care. Local autonomy is far-reaching, and local inequities are indeed great for all kinds of domestic and institutional care for the elderly. Not only coverage rates differ widely but also costs per citizen and spending per elderly person vary vastly. Numerous parameters of the political, economic and geo-social structure of the municipalities explain only very little of these local variations. It seems that local differences are often of long standing: this may explain why 'rational' indicators of needs and local capacity fail to explain much of the inequities. Yet, one factor of socio-political importance emerges as significant: the system of tax redistribution enforced on largely autonomous municipalities.

Aged↗

PubMed1994

Gravitational response of the slime mold Physarum.

The acellular slime mold Physarum polycephalum is used as a model system to investigate the graviresponse of single cells which possess no receptors specialized for the perception of gravity. To obtain insights into the gravity-signal transduction mechanism the light response of the cell is used: Macroplasmodia of the slime mold show clear geo- and phototaxes. Gravity increases and white light decreases transiently the contraction frequency of plasmodial strands whereby both responses follow the same time pattern. Since mitochondria play a major role in changing the contraction rhythm in response to light and gravity stimuli, the simultaneous and subsequent inductions of the opposing light and gravity responses and their mutual influences on one another were investigated. The experiments were performed in weightlessness (0 g)--simulated on the fast-rotating clinostat as well as in actual weightlessness during the IML-1 Space Shuttle mission. The results indicate that mitochondria (chondriome) are part of the acceleration-stimulus reaction chain in Physarum. Two models for a direct gravireceptor mechanism are discussed.

Animals↗

PubMed1996

Optical chemical sensors for environmental control and system management.

Several fiber optic based chemical sensors have been developed for use in plant growth systems and enclosed life support systems. Optical chemical sensors offer several distinct advantages in terms of sensitivity, calibration stability, immunity to biofouling and electrical interference, and ease of multiplexing sensors for multipoint/multiparameter analysis. Also, the ability to locate fiber optic sensors in close proximity to plant roots or leaves should improve the measurement reliability by obviating the need for handling and transport which can compromise sample integrity. Polestar Technologies and GEO-CENTERS have developed and tested many types of optical chemical sensors which utilize novel glass and polymeric materials as the sensor substrate. Analytes are detected using immobilized colorimetric indication systems or molecular recognition elements. Typically transduction is via wavelength specific absorption changes with multiwavelength detection for drift compensation. Sensors have been developed for solution pH, NH3, ethylene, CO2, and dissolved metal ions. In addition, unique PC-compatible optoelectronic interfaces, as well as distributed measurement systems, so that integrated detection systems are now available. In this paper recent efforts to develop sensors for critical nutrient ions are presented.

Biosensing Techniques↗

PubMed1989

Respiratory health indicators and acculturation among the Inuit and Cree of northern Quebec: a regional approach using geographic seriation analysis.

The goal of the research reported on is the analysis of the geo-statistical relationships observed between three indicators of respiratory health (acute and chronic bronchitis; pulmonary function) and an index of acculturation. Data used in this work were obtained by means of a field survey that was conducted in the north of Quebec over a 24-month period (1982-1984). With regard to acculturation, a very elusive concept, a Bertin-type geographic seriation technique is used to characterize the levels of modernity of each of the 21 villages involved in this study. Notwithstanding difficulties of measurement, it can be concluded from this analysis that better levels of respiratory health are positively associated, to a degree, with acculturation. This is a very significant result in that it would demonstrate the opposite of what has been tentatively noted in some other studies of the health status of Aboriginal populations.

Acculturation↗

PubMed1993

Ambiocontrol as a primary factor of health.

This paper is based upon the results of two research projects that took place in very dissimilar places and contexts, at different situations in the epidemiological transition process, but lead to some important common conclusions. In both studies, a geo-systemic or socio-spatial classificatory model was first constructed, comprising a series of environmental (independent) variables. Second, this model was used to reveal, measure, and try to explain the health disparities existing in the area under study, as measured by certain health indicators (dependent variables). Two socio-spatial models were constructed. The first used 26 environmental variables, measured in the 78 municipios of Puerto Rico. The dependent variables were mortality rates. The second employed 28 environmental variables, measured in the 32 community health department territories (DSCs) of Québec. The dependent variables were physical and mental health indices. The most significant common conclusion of these studies is that the socio-economic level per se, or its classical principal defining elements (income, education level) are not the main determinants of the observed health disparities. A certain stability in the physical and social environment, the person's sense of understanding of his environment and of control over the course and setting of his own life (what is called ambiocontrol) that is induced by this stability appear to be the most important determinants of health. On the other hand, centrality, complexity and instability of the environment are the most pathogenic characteristics of the milieu.

Adolescent↗

PubMed1996

Anthelmintic resistance in India.

Five sheep farms located in different geo-climatic regions were surveyed for resistance in gastrointestinal nematodes to albendazole, levamisole and ivermectin. Resistance to albendazole and levamisole was evident on all the farms. Albendazole reduced faecal egg counts by 0-73% and levamisole by 0-61%. No eggs were detected after treatment with ivermectin.

Albendazole↗

PubMed2005

Expression profiles of mouse dendritic cell sarcoma are similar to those of hematopoietic stem cells or progenitors by clustering and principal component analyses.

We isolated and screened two tumor cell clones DD1 and DG6 with different capacity of metastasis from the same parent cell line, a mouse dendritic cell (DC) sarcoma, using limited dilution method. The genome-wide expressions of DD1 and DG6 cells were detected by Affymetrix's MOE-430A microarray. The expression profiles related with mouse DC development were downloaded from GEO at NCBI and ArrayExpress at EBI database. In order to compare the expression of DC sarcoma and DC developmental arrays which was performed by MG-U74av2, we had screened the best matched probesets between MOE-430A and MG-U74av2 according to the probe identities from Affymetrix technical annotation. After the normalization of 11 housekeeping genes across the 34 arrays (2 DC sarcoma and 32 DC developmental arrays), all these expression profiles were analyzed by the methods of hierarchical clustering, principal component analysis, nearest-neighborhood, and self-organizing maps. The results indicate that expression profiles of DC sarcoma are closer to those of the DC progenitors and hematopoietic stem cells from bone marrow compared with the sorted DCs from spleen. The results support the hypothesis that cancers (tumors or sarcomas) arise from stem cells. It is suggested that the DC sarcomas are more similar to the DC progenitors and hematopoietic stem cells than the relative mature DCs in gene expressions on the large-scale.

Animals↗

PubMed2006

Impaired expression of importin/karyopherin beta1 leads to post-implantation lethality.

Importin beta1 (Impbeta)/karyopherin beta1 (Kpnb1) mediates the nuclear import of a large variety of substrates. This study aimed to investigate the requirement for the Kpnb1 gene in mouse development, using a gene trap line, B6-CB-Ayu8108(GtgeoIMEG) (Ayu8108(geo)), in which the trap vector was inserted into the promoter region of the Kpnb1 gene, but in reverse orientation of the Kpnb1 gene. Ayu8108(geo/geo) homozygous embryos could develop to the blastocyst stage, but died before embryonic day 5.5, and expression of the Kpnb1 gene in homozygous blastocysts was undetectable. We also replaced the betageo gene with Impbeta cDNA through Cre-mediated recombination to rescue Impbeta expression. Homozygous mice for the rescued allele Ayu8108(Impbeta/Impbeta) were born and developed normally. These results demonstrated that the cause of post-implantation lethality of Ayu8108(geo/geo) homozygous embryos was impaired expression of the Kpnb1 gene, indicating indispensable roles of Impbeta1 in early development of mice.

Animals↗

PubMed2006

Expression profilings of 39 genes selected by ANOVA could separate precursors of murine dendritic cells and macrophages.

Dendritic cells (DCs) and macrophages share some stages in the development and function of antigen presentation. But it is difficult to separate them from their precursors. We used one-way ANOVA (analysis of variances) on murine expression profilings of several hematopoietic cells associated with DCs and macrophages to find the genes with great differences across the cell groups. These groups were the DCs from spleen, cultivated DCs, DC precursors, DC progenitors, DC progenitor cell lines, hematopoietic stem cell (HSC), and bone marrow-derived macrophages. The data of expression profilings were all downloaded from GEO and ArrayExpress database. After the normalization of 11 housekeeping genes across 42 arrays, we got 39 genes (44 probesets) by analysis of one-way ANOVA (Bonferroni step-down) with p values cutoff of 0.05. These genes (probesets) could separate the hematopoietic cells well by the methods of unsupervised hierarchical clustering and principal component analysis (PCA). The class prediction also indicated that these genes could separate the precursors of DC and macrophages with 20 arrays composed of 5 cell types with the same normalization. The accuracy rate of class prediction was 90% (18/20). The genes selected by one-way ANOVA included those of MHC (major histocompatibility complex) and defense of immunity, cell adhesion, chemokine or its receptors, and transcription factors. The results indicated that these 39 genes could separate precursors of DC and macrophages very clearly. It was suggested that these genes might represent some important molecules that related with the precursors of DCs and macrophages, and were worthy for further study.

Animals↗

PubMed2006

Aspirin upregulates expression of urokinase type plasminogen activator receptor (uPAR) gene in human colon cancer cells through AP1.

In this study, the effects of acetylsalicylic acid (aspirin) on the expression of uPAR and the mechanism by which it regulates expression of uPAR was examined in two different colon cancer cell lines HCT116 and GEO, respectively. The study shows that under physiological concentration, aspirin upregulates steady-state level expression of uPAR mRNA as well as expression of uPAR protein. Using a transient transfection assay, a region corresponding to -1 to -398 region of uPAR promoter has been identified which shows maximum responsiveness to aspirin treatment and found that this region is sufficient for the aspirin-induced up-regulation of uPAR. A stable integration of a single copy of this region coupled to luciferase reporter gene into the HCT116 genome also behaved similarly. Using gel mobility shift assays, it is found that the distal AP1 region between -171 and -186 is responsible for the aspirin-induced up-regulation of uPAR. Mutation of this region reduced up-regulation. Supershift assays identify that the bound proteins at this region are c-Jun and Fra-1. Real-time PCR analysis showed more than 4-fold increase in the binding of c-Jun and a 1.6-fold increase in the binding of Fra-1 in this region and this up-regulation corresponds to an increased binding of acetylated histone H4 in this region. Since an increase in the expression of uPAR corresponds to an increase in the migration of the cell, a migration assay was performed and result showed a 3-fold increased migration of HCT116 cells through the vitronectin-coated layer. Thus, an AP1 mediated pathway for aspirin induced up-regulation of uPAR has been identified.

Aspirin↗

PubMed2025

Integrated multi-omics analysis reveals TMEM147 as an immunosuppressive prognostic biomarker in LUAD.

TMEM147, an endoplasmic reticulum (ER) membrane protein, is implicated in lung adenocarcinoma (LUAD) progression, although its precise role remains unclear. To elucidate its function, this study integrated bioinformatics analyses with experimental validation. First, TMEM147 expression was assessed using TCGA and GEO datasets, with validation performed in LUAD cell lines. Survival analysis evaluated its prognostic significance. Subsequently, Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses and single-sample gene set enrichment analysis (ssGSEA) were employed to identify associated functional pathways and interactions within the tumor immune microenvironment. Transcription factor binding predictions and in vitro functional assays (migration, invasion, proliferation) further characterized TMEM147's role. Results indicated that TMEM147 was significantly upregulated in LUAD and correlated with poor outcomes in patients. FLI1 was predicted as a key transcriptional regulator of TMEM147. Furthermore, TMEM147 expression influenced immune cell infiltration profiles and was associated with pathways involved in ribonucleoprotein biogenesis and oxidative phosphorylation (OXPHOS). Importantly, silencing TMEM147 significantly reduced cancer cell migration, invasion, and proliferation. These findings collectively suggest that TMEM147 promotes LUAD progression and holds potential as both a prognostic biomarker and a therapeutic target.

Bioinformatics analysis↗

PubMed2006

Distribution and accumulation of heavy metals in the sediments of Kaohsiung Harbor, Taiwan.

The distribution, enrichment, and accumulation of heavy metals in the sediments, especially those at the vicinity of tributary estuaries of Kaohsiung Harbor, Taiwan were investigated. Sediment samples from six locations in the Kaohsiung Harbor were collected quarterly in the period from 2002 to 2005 and characterized for metal content (e.g., Hg, Pb, Cd, Cr, Cu, Zn and Al), water content, organic matter, total nitrogen, total phosphorous, total grease, and grain size. Results showed that metal concentrations varied from 0.58 mg kg(-1) for Cd to 596 mg kg(-1) for Zn. Metal concentrations at the vicinity of river mouths were higher than those at other locations. All heavy metals studied, except Cr, had relatively high enrichment factors and geo-accumulation indices in the estuaries. Moreover, metal concentrations correlated closely to the physical-chemical properties of the sediments, which strongly suggested the influence of industrial and municipal wastewaters discharged from the neighboring industrial parks and river basins. Results would help develop strategies for pollution control and sediment remediation of Kaohsiung Harbor.

Environmental Monitoring↗

PubMed2026

NeuroOmics-Net: An interpretable multimodal deep learning framework for Alzheimer's disease diagnosis and progression prediction using neuroimaging, EEG, and genomic data.

Accurate diagnosis and progression prediction of Alzheimer's disease (AD) remain challenging due to the heterogeneous nature of the disease, which involves structural brain degeneration, electrophysiological dysfunction, and molecular dysregulation. Most existing deep learning approaches rely on a single modality or limited multimodal combinations, thereby failing to capture the complex cross-domain interactions underlying AD progression. Furthermore, the scarcity of large-scale datasets containing synchronized neuroimaging, electrophysiological, and genomic measurements restricts the development of comprehensive multimodal diagnostic systems. To address these challenges, this study proposes NeuroOmics-Net, a multimodal deep learning framework for Alzheimer's disease analysis that integrates structural magnetic resonance imaging (sMRI), electroencephalography (EEG), and gene expression data. The proposed framework combines a Hierarchical Multi-View Encoder (HME) for modality-specific feature extraction, a Cross-Omics Attention Fusion (CAF) module for adaptive integration of complementary biomarkers, and a Disease Progression Graph Learning (DPGL) module for modeling progression-related relationships across biological domains. To facilitate cross-modal integration from independent cohorts, Regularized Canonical Correlation Analysis (RCCA) is employed to align heterogeneous feature representations within a shared latent space. Experiments were conducted using publicly available datasets from ADNI, PhysioNet, and GEO repositories comprising 1120 diagnosis-aligned samples. The proposed framework achieved 94.3% classification accuracy and an AUC of 0.975 for distinguishing normal controls (NC), mild cognitive impairment (MCI), and Alzheimer's disease subjects, while attaining 93.7% accuracy for predicting conversion from stable mild cognitive impairment (sMCI) to progressive mild cognitive impairment (pMCI). However, a fairness sensitivity analysis using stratified demographic reweighting revealed accuracy ranging from 90.8% (low-education, high-comorbidity proxy subgroup) to 96.1% (low-risk, high-reserve proxy subgroup), a demographic parity gap of 5.3 percentage points, indicating that overall accuracy reflects a performance ceiling in a relatively homogeneous research cohort rather than a realistic estimate for demographically diverse clinical populations. Comparative evaluations demonstrated consistent improvements over state-of-the-art unimodal and multimodal deep learning models. Interpretability analysis further identified clinically relevant biomarkers, including hippocampal and entorhinal atrophy, theta-alpha EEG alterations, and APOE-associated molecular pathways. Because sMRI, EEG, and gene expression data were sourced from separate, unpaired cohorts with no subjects possessing all three synchronized measurements, all reported cross-modal associations reflect population-level statistical correspondence across diagnosis-matched groups rather than within-subject physiological coupling; no claim of intra-individual causal cross-modal interaction is made. These findings demonstrate that NeuroOmics-Net provides an effective computer-aided framework for multimodal biomedical data processing and Alzheimer's disease analysis. By integrating neuroimaging, electrophysiological, and genomic information, the proposed approach enables accurate diagnosis, progression prediction, and biologically interpretable decision support for clinical and translational applications.

Humans↗

PubMed2004

Sociocultural diversity and substance use pattern in Arunachal Pradesh, India.

An epidemiological study on substance use was carried out to assess the prevalence and pattern of tobacco, alcohol, and opium being used commonly in ethnographic diverse population of Arunachal Pradesh, India. Representative sample of 5135 people age > or =10 years were interviewed to collect information about their habit of substance use. Over all, prevalence of substance use was 30.9% tobacco (22.8% chewers and 12.1% smokers), 30% alcohol, and 4.8% opium, which vary across location, gender, race, age, education, and occupation. Though tobacco and alcohol was commonly used among all the tribes, but high alcohol use among Tangsa and Tutsa tribes reflects strong cultural belief. Religiously, opium use was low among Christian and Hindu at lower (< 1000 m) altitude, but high among Buddhist, Indigenous, and Hindu living at higher altitude. Among males, high multivariate rate ratio of opium users was seen among the population of high altitude (9.1). Moreover, it was also high among Singpho (7.1) and Khamti (9.7) tribes living in low altitude area, which shows the strong geo-ethnographic influence. Average age at initiation of alcohol use (12.4 years) was significantly lower than tobacco (17.6 years), and opium (23.3 years) indicate social acceptability of alcohol drinking at early age. Use of multiple substances and high prevalence of opium express the alarming situation of substance misuse in the region. Besides few limitations, varied results of socio-cultural and ethnic influences recalls integrated approach to break the traditional belief associated with alcohol and drug abuse from the society.

Adolescent↗

PubMed2006

Determinants of patient satisfaction in oncology settings from European and Asian countries: preliminary results based on the EORTC IN-PATSAT32 questionnaire.

The aim of this study was to identify factors associated significantly with hospitalised cancer patients' satisfaction with care. Patients were recruited from four geographical/cultural groups, including five European countries and Taiwan. They rated their level of satisfaction by completing the EORTC IN-PATSAT32 questionnaire at home. Additionally, data were collected on the sociodemographic and clinical characteristics and the quality of life of the patients, as well as on institutional characteristics. Of 762 patients recruited, 647 (85%) returned a completed questionnaire. The number of nurses and doctors per bed, institution size, geo-cultural origin, ward setting, teaching/non-teaching setting, treatment toxicity, global health status, participation in clinical trials and education level were all associated significantly at the multivariate level with satisfaction with doctor and nurse interpersonal skills, information provision, availability, and/or overall satisfaction. A number of patient-, institutional- and culture-related factors are associated with the perceived quality of cancer care. Future studies, with appropriate sampling frames and stratification procedures, are needed to better understand cross-national and cross-cultural differences in cancer patient satisfaction.

Adult↗

PubMed2026

Artificial Intelligence-Driven Multi-Omics Analysis Reveals Hydroxytyrosol Targeting of the TXNIP-NLRP3 Inflammasome Axis in Traumatic Brain Injury.

Traumatic brain injury (TBI) induces secondary neuroinflammation driven by oxidative stress, inflammasome activation, and immune remodeling, yet specific mechanism-guided pharmacological interventions remain limited. This study established an artificial intelligence (AI)-integrated network pharmacology and multi-omics framework to evaluate whether hydroxytyrosol (HT), an olive-derived natural polyphenol, may regulate TBI-related neuroinflammatory targets centered on the TXNIP/NLRP3 inflammasome axis. Starting from the SMILES structure of HT, potential targets were predicted using PharmMapper, SwissTargetPrediction, and the Similarity Ensemble Approach and were standardized to UniProt identifiers. TBI-associated genes were integrated from GeneCards, DisGeNET, OMIM, and the Therapeutic Target Database. The overlapping target set was analyzed using STRING-based protein-protein interaction (PPI) networks, MCODE, CytoHubba, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Public GEO transcriptomic datasets (GSE123831 and GSE104687) were used for cross-platform expression validation, differential expression analysis, and exploratory CIBERSORT-based immune infiltration estimation. Random forest (RF), multilayer perceptron (MLP), graph convolutional network (GCN), graph attention network (GAT), SHAP/LIME explainability analysis, LASSO inflammatory-risk scoring, and two-sample Mendelian randomization (MR) were further applied for target prioritization, immune phenotype mapping, and genetic association analysis. Seventy-three overlapping HT-TBI targets were identified. PPI and topology analyses prioritized TXNIP, NLRP3, CASP1, MAPK1, and TP53 as key hubs enriched in inflammasome activation, oxidative stress, apoptosis, and NOD-like receptor signaling. TXNIP, NLRP3, and CASP1 were consistently upregulated in both TBI transcriptomic datasets. LM22-based immune deconvolution suggested increased pro-inflammatory immune signatures and a positive TXNIP-M1 macrophage association (r = 0.63, p < 0.001), which should be interpreted as a transcriptome-derived hypothesis rather than validated murine immune-cell proportions. AI-based models consistently ranked TXNIP/NLRP3 as high-contribution features under internal validation, and removal of these targets reduced model performance. A five-gene inflammatory score achieved an internally evaluated AUC of 0.87, while two-sample MR supported positive genetic associations involving TXNIP expression, TBI risk, NLRP3 and IL-1β expression. Collectively, these findings prioritize the TXNIP/NLRP3/CASP1 module as a computationally supported candidate mechanism through which HT may influence oxidative stress-inflammasome-immune coupling in TBI. This study provides an interpretable drug-target-pathway-phenotype framework and identifies TXNIP, NLRP3, and CASP1 as priority nodes for future experimental validation.

Artificial Intelligence↗

PubMed2004

Indicators for persistence and long-range transport potential as derived from multicompartment chemistry-transport modelling.

Total environmental and compartmental residence times as a measure for persistence as well as indicators for long-range transport potential (LRTP) have been derived from global geo-referenced modelling and LRTP is characterized in two geographic directions for the first time. A dynamic multicompartment chemistry-transport model (MCTM) was used to study the fate of the insecticides DDT and alpha-hexachlorocyclohexane (alpha-HCH) during the first 2 years upon entry. The indicators for LRTP were defined such as to address the tendencies of substance distributions to migrate ('plume displacement', PD) and to spread into remote areas ('spatial spreading', SS). The indicators deliver values as function of time upon entry. With the aim to address the effect of location of entry on environmental fate, scenarios of emission from the territories of seven countries were studied. It was found that the effect of location of entry on the spatial scale of countries (400-4000 km) is significant for the compartmental distribution and the inter-compartmental mass exchange fluxes (e.g., number of atmospheric cycles, 'hops'). Location of entry introduces uncertainties in the order of a factor of 5 for the total environmental residence time, tau(overall), and a factor of 5-20 for PD and SS. For the 2nd year upon entry into the environment, tau(overall)=317-1527 days are predicted for DDT and 101-463 days for alpha-HCH. The influence of location of entry does affect the substance ranking, i.e. we cannot simply state that DDT is more persistent than alpha-HCH, but for one scenario studied, application in China, the opposite is predicted. Precipitation patterns proved to be significant, besides other climate parameters, for atmospheric residence time. Integration of the location of entry in chemicals risk assessments is therefore recommended. In general, persistence and some indicators for LRTP, pertinent to their definition, refer to the fate of a large fraction, e.g., 63% (=1-1/e) or 90%, but not the total substance burden. The choice of this fraction may have the consequence of a normative step which defines the spatial and temporal extensions of a related chemicals risk assessment and may affect substance ranking.

China↗

PubMed2004

BETR-World: a geographically explicit model of chemical fate: application to transport of alpha-HCH to the Arctic.

The Berkeley-Trent (BETR)-World model, a 25 compartment, geographically explicit fugacity-based model is described and applied to evaluate the transport of chemicals from temperate source regions to receptor regions (such as the Arctic). The model was parameterized using GIS and an array of digital data on weather, oceans, freshwater, vegetation and geo-political boundaries. This version of the BETR model framework includes modification of atmospheric degradation rates by seasonally variable hydroxyl radical concentrations and temperature. Degradation rates in all other compartments vary with seasonally changing temperature. Deposition to the deep ocean has been included as a loss mechanism. A case study was undertaken for alpha-HCH. Dynamic emission scenarios were estimated for each of the 25 regions. Predicted environmental concentrations showed good agreement with measured values for the northern regions in air, and fresh and oceanic water and with the results from a previous model of global chemical fate. Potential for long-range transport and deposition to the Arctic region was assessed using a Transfer Efficiency combined with estimated emissions. European regions and the Orient including China have a high potential to contribute alpha-HCH contamination in the Arctic due to high rates of emission in these regions despite low Transfer Efficiencies. Sensitivity analyses reveal that the performance and reliability of the model is strongly influenced by parameters controlling degradation rates.

Air Pollutants↗