Tag: nevin manimala

Immunol Med. 2023 Jun 30:1-7. doi: 10.1080/25785826.2023.2228074. Online ahead of print.

ABSTRACT

Metabolic syndromes including obesity and diabetes are the most common health issues due to insulin resistance, disturbance in glucose homeostasis, lack of exercise, and improper diet. The current study was planned to evaluate the potential effects of regular diet with fortified yogurt on blood glycemia and anthropometric responses. Plain yogurt was procured from the local market, and then it was fortified with calcium. Furthermore, the subsequent effect of fortified yogurt on blood glucose, insulin, and anthropometric measurements was assessed at different time intervals. A total of 40 healthy females and males aged about 20 years with a normal BMI range (20-24.9 kg/m²) were recruited within the Government College University Faisalabad. Participants filled out the habits Performa, stress factors questionnaire, and activity questionnaire. Blood glucose (BG) and visual analogous scale (VAS) performs were also taken in the fasting stage and then assigned treatment was given. After 15, 30, 45, 60, 90, and 120 min intervals VAS and BG estimation was carried out. The results shows that fortified yogurt contained a higher amount of calcium. Likewise, a similar trend was observed for the desire to eat, a feeling of fullness, palatability, physical comfort, and overall acceptability. The results obtained from various analyses were statistically evaluated.

PMID:37387250 | DOI:10.1080/25785826.2023.2228074

Palliat Support Care. 2023 Jun 30:1-10. doi: 10.1017/S1478951523000755. Online ahead of print.

ABSTRACT

OBJECTIVES: This study aims to measure and explore the barriers to translating theoretical knowledge of palliative care into clinical practice.

METHODS: A mixed-method study, combining a cross-sectional survey and key interviews was conducted. The quantitative data were obtained from 173 nurses and the key interviews were conducted with 42 health professionals drawn from multiple settings. For quantitative data analysis, Statistical Package for the Social Sciences software were conducted, and a thematic analysis supported with NVivo software were used for analyzing qualitative data.

RESULTS: Of the 220 nurses invited, 173 completed the survey (79%). Most (78%) had a bachelor’s degree in nursing. Fewer than half, 69 (40%) scored 75% or more for the knowledge test; 173 (100%) scored 50% or greater for attitude; and only 32 (18.5%) scored 75% or greater for self-reported practice. While there was a small, positive correlation between palliative care attitudes and self-reported practice (r = 0.22, p = 0.003), the qualitative findings indicated that nurses had significant challenges in translating their theoretical knowledge into clinical practice. Limited clinical practice was linked to inadequate knowledge resulting from insufficient integration of palliative care content in undergraduate curricula and a lack of follow-up training. This was further exacerbated by shortages of medicine, staff, and financial resources and was linked to limited attention accorded to palliative care by the government.

SIGNIFICANCE OF RESULTS: While the results showed the majority held positive views toward palliative care, improving palliative care practices requires, and enhancing nurses’ knowledge of palliative care. This requires changing teaching methods and engaging policymakers.

PMID:37387249 | DOI:10.1017/S1478951523000755

J Mater Chem B. 2023 Jun 30. doi: 10.1039/d3tb00878a. Online ahead of print.

ABSTRACT

In recent years, developing artificial cells of higher complexity has emerged as being key to simulating advanced life behaviors, among which coacervate microdroplets are a promising kind of model artificial cell. Constructing simple coacervate systems in vitro which can subsequently achieve specific responses to environmental stimuli to form coacervate microdroplet communities are fundamental for studying the interactions between liquid-liquid phase separated molecules and the way such interactions determine material properties, composition and phase behavior. Herein, we propose a membrane-free artificial cell based on recombinant spidroin, NT2RepCT, which utilizes the complex structure of spidroin to provide coacervate microdroplets with a unique population morphology in response to environmental stimuli. By changing the environmental conditions such as protein concentration, pH and temperature, the coacervate microdroplets of single-type, regular adhesion-type and irregular adhesion-type were statistically generalized, and it is highlighted that the adhesion-type of coacervate microdroplets depended on the α-helical percentage, complex folding degree of spidroin and internally hydrophobic environment of the coacervate, while it was inversely proportional to the surface hydrophobic environment. Much more interesting, regulation of the non-enzymatic polymerization reaction of oligonucleotides was successfully achieved by adjusting the population morphology of coacervate microdroplets.

PMID:37387245 | DOI:10.1039/d3tb00878a

Future Oncol. 2023 Jun 30. doi: 10.2217/fon-2022-1284. Online ahead of print.

ABSTRACT

Aims: Physicians determine the treatment regimen for metastatic colorectal cancer on a case-by-case bases, according to the individual disease characteristics. We retrospectively compared the baseline characteristics and efficacies of first-line treatment among patients with metastatic colorectal cancer who received intensive therapy involving fluoropyrimidine plus oxaliplatin and/or irinotecan, potentially with molecularly targeted agents as well, versus less intensive fluoropyrimidine and/or bevacizumab therapy. Materials & methods: Data were collected from a medical claims database. The efficacy outcomes were: time to treatment failure, time to first subsequent therapy and overall survival. Results: The less intensive therapy group (n = 633) had higher median age, lower daily activity levels and shorter time to treatment failure, time to first subsequent therapy and overall survival than the intensive therapy group (n = 3829). Combination therapy with molecularly targeted agents and bevacizumab improved treatment efficacy outcomes in the intensive and less intensive groups, respectively. Conclusion: Patient age and daily activity levels were important factors for determining treatment intensity.

PMID:37387237 | DOI:10.2217/fon-2022-1284

Rev Esp Salud Publica. 2023 Jun 22;97:e202306045.

ABSTRACT

OBJECTIVE: In Chile, the elderly represent 18% of the population. In women, the aging process impacts body composition, in addition to the coexistence of other pathologies such as chronic noncommunicable diseases (NCDs). The aim of the study was to relate body composition to the presence of chronic noncommunicable diseases in active older women in the city of Chillán.

METHODS: The sample consisted of 284 women belonging to senior centers in Chillán. Body composition was determined by bioimpedanciometry. Sociodemographic information, prevalent pathologies, geriatric syndromes and physical activity were determined by means of a validated questionnaire. Data were analyzed with descriptive and inferential statistics in STATA 15.0 software with an α<0.05.

RESULTS: Of the sample, 63% were under seventy-five years of age, 77.5% had less than twelve years of schooling, the predominant socioeconomic level was low, and the poor perception of health was mainly referred to as well as the use of regular medication. Arterial hypertension (AHT) and hypercholesterolemia were prevalent with 70.4% and 48.2% respectively. Body mass index (BMI) was 29.7±4.8 and 71.8% had excess malnutrition. The group older than seventy-five years presented more body fat (BMF) and extracellular water (ECW). AHT was related to higher BMI, TGM, MBC (Mean Arm Circumference), PC (Calf Circumference) and ECW (p<0.05), while Diabetes mellitus was related to BMI and MBC.

CONCLUSIONS: Hypertension is the most frequent pathology and is related to higher BMI, MGT, CMB, CP and ECW, followed by DM2 which is related to BMI and CMB.

PMID:37387225

Scand J Public Health. 2023 Jun 30:14034948231182022. doi: 10.1177/14034948231182022. Online ahead of print.

ABSTRACT

AIM: The aim is to report the design and baseline data of the ‘National Surveillance of the Work Environment of Employees in Denmark’ study (NASWEED).

METHODS: NASWEED consist of (a) bi-annual cross-sectional samples, based on probability samples of wage earners of the general working population in Denmark from 2021 onwards (surveillance), (b) a prospective cohort of all previous respondents every two years (epidemiology, questionnaire follow-up) and (c) longitudinal follow-up in Danish registers about work and health (epidemiology, register follow-up). Between February and May 2021, a stratified (38 occupational industries) probability sample of 63,391 Danish residents aged 15-69 years who were employed for at least 34 hours per month received an invitation to participate, of whom 30,099 (47.5%) completed the questionnaire, 897 (1.4%) partially completed the questionnaire and 32,395 (51.1%) did not respond. Baseline was completed in June 2021. NASWEED covers various topics about the work environment (psychosocial, ergonomic, chemical, biological, safety, accidents, working from home, etc), health behaviours and somatic and mental health-related conditions. Statistical analyses will mainly build on survey procedures with model-assisted weights to ensure that the sample will yield representative estimates of the general working population.

DISCUSSION: NASWEED will monitor the development of the work environment and health in Denmark until 2030. The survey data will be included in epidemiological studies with repeated measurement of the work environment, health variables and covariates, and follow-ups in national registers to investigate the prospective association in the years and decades to come between the work environment and workers’ health and labour market participation.

PMID:37387222 | DOI:10.1177/14034948231182022

Bioinformatics. 2023 Jun 30;39(Supplement_1):i357-i367. doi: 10.1093/bioinformatics/btad251.

ABSTRACT

The tendency of an amino acid to adopt certain configurations in folded proteins is treated here as a statistical estimation problem. We model the joint distribution of the observed mainchain and sidechain dihedral angles (〈ϕ,ψ,χ1,χ2,…〉) of any amino acid by a mixture of a product of von Mises probability distributions. This mixture model maps any vector of dihedral angles to a point on a multi-dimensional torus. The continuous space it uses to specify the dihedral angles provides an alternative to the commonly used rotamer libraries. These rotamer libraries discretize the space of dihedral angles into coarse angular bins, and cluster combinations of sidechain dihedral angles (〈χ1,χ2,…〉) as a function of backbone 〈ϕ,ψ〉 conformations. A ‘good’ model is one that is both concise and explains (compresses) observed data. Competing models can be compared directly and in particular our model is shown to outperform the Dunbrack rotamer library in terms of model complexity (by three orders of magnitude) and its fidelity (on average 20% more compression) when losslessly explaining the observed dihedral angle data across experimental resolutions of structures. Our method is unsupervised (with parameters estimated automatically) and uses information theory to determine the optimal complexity of the statistical model, thus avoiding under/over-fitting, a common pitfall in model selection problems. Our models are computationally inexpensive to sample from and are geared to support a number of downstream studies, ranging from experimental structure refinement, de novo protein design, and protein structure prediction. We call our collection of mixture models as PhiSiCal (ϕψχal).

AVAILABILITY AND IMPLEMENTATION: PhiSiCal mixture models and programs to sample from them are available for download at http://lcb.infotech.monash.edu.au/phisical.

PMID:37387189 | DOI:10.1093/bioinformatics/btad251

Bioinformatics. 2023 Jun 30;39(Supplement_1):i177-i184. doi: 10.1093/bioinformatics/btad263.

ABSTRACT

The classic quantitative measure of phylogenetic diversity (PD) has been used to address problems in conservation biology, microbial ecology, and evolutionary biology. PD is the minimum total length of the branches in a phylogeny required to cover a specified set of taxa on the phylogeny. A general goal in the application of PD has been identifying a set of taxa of size k that maximize PD on a given phylogeny; this has been mirrored in active research to develop efficient algorithms for the problem. Other descriptive statistics, such as the minimum PD, average PD, and standard deviation of PD, can provide invaluable insight into the distribution of PD across a phylogeny (relative to a fixed value of k). However, there has been limited or no research on computing these statistics, especially when required for each clade in a phylogeny, enabling direct comparisons of PD between clades. We introduce efficient algorithms for computing PD and the associated descriptive statistics for a given phylogeny and each of its clades. In simulation studies, we demonstrate the ability of our algorithms to analyze large-scale phylogenies with applications in ecology and evolutionary biology. The software is available at https://github.com/flu-crew/PD_stats.

PMID:37387175 | DOI:10.1093/bioinformatics/btad263

Bioinformatics. 2023 Jun 30;39(Supplement_1):i523-i533. doi: 10.1093/bioinformatics/btad273.

ABSTRACT

MOTIVATION: Complex phenotypes, such as many common diseases and morphological traits, are controlled by multiple genetic factors, namely genetic mutations and genes, and are influenced by environmental conditions. Deciphering the genetics underlying such traits requires a systemic approach, where many different genetic factors and their interactions are considered simultaneously. Many association mapping techniques available nowadays follow this reasoning, but have some severe limitations. In particular, they require binary encodings for the genetic markers, forcing the user to decide beforehand whether to use, e.g. a recessive or a dominant encoding. Moreover, most methods cannot include any biological prior or are limited to testing only lower-order interactions among genes for association with the phenotype, potentially missing a large number of marker combinations.

RESULTS: We propose HOGImine, a novel algorithm that expands the class of discoverable genetic meta-markers by considering higher-order interactions of genes and by allowing multiple encodings for the genetic variants. Our experimental evaluation shows that the algorithm has a substantially higher statistical power compared to previous methods, allowing it to discover genetic mutations statistically associated with the phenotype at hand that could not be found before. Our method can exploit prior biological knowledge on gene interactions, such as protein-protein interaction networks, genetic pathways, and protein complexes, to restrict its search space. Since computing higher-order gene interactions poses a high computational burden, we also develop a more efficient search strategy and support computation to make our approach applicable in practice, leading to substantial runtime improvements compared to state-of-the-art methods.

AVAILABILITY AND IMPLEMENTATION: Code and data are available at https://github.com/BorgwardtLab/HOGImine.

PMID:37387173 | DOI:10.1093/bioinformatics/btad273

Bioinformatics. 2023 Jun 30;39(Supplement_1):i440-i447. doi: 10.1093/bioinformatics/btad205.

ABSTRACT

MOTIVATION: The Chemical Master Equation (CME) is a set of linear differential equations that describes the evolution of the probability distribution on all possible configurations of a (bio-)chemical reaction system. Since the number of configurations and therefore the dimension of the CME rapidly increases with the number of molecules, its applicability is restricted to small systems. A widely applied remedy for this challenge is moment-based approaches which consider the evolution of the first few moments of the distribution as summary statistics for the complete distribution. Here, we investigate the performance of two moment-estimation methods for reaction systems whose equilibrium distributions encounter fat-tailedness and do not possess statistical moments.

RESULTS: We show that estimation via stochastic simulation algorithm (SSA) trajectories lose consistency over time and estimated moment values span a wide range of values even for large sample sizes. In comparison, the method of moments returns smooth moment estimates but is not able to indicate the non-existence of the allegedly predicted moments. We furthermore analyze the negative effect of a CME solution’s fat-tailedness on SSA run times and explain inherent difficulties. While moment-estimation techniques are a commonly applied tool in the simulation of (bio-)chemical reaction networks, we conclude that they should be used with care, as neither the system definition nor the moment-estimation techniques themselves reliably indicate the potential fat-tailedness of the CME’s solution.

PMID:37387158 | DOI:10.1093/bioinformatics/btad205