Tag: pubmed

Arch Orthop Trauma Surg. 2023 Sep 22. doi: 10.1007/s00402-023-05057-9. Online ahead of print.

ABSTRACT

PURPOSE: This study aimed to optimize cement application techniques in fully cemented primary total knee arthroplasty (TKA) by comparing the effects of two different approaches: cement on bone surface (CoB) versus cement on bone surface and implant surface (CoBaI) on the short-term presence of radiolucent lines (RLL) as indicators of potential complications.

METHODS: In this monocentric study, a total of 379 fully cemented primary TKAs (318 patients) were included. The two study groups were differentiated by the technique of cement application: CoB group (cement applied only on bone surface) and CoBaI group (cement applied on both bone surface and implant surface). The presence of RLL or osteolysis was evaluated using the updated Knee Society Radiographic Evaluation System.

RESULTS: In the whole study population, RLL were present in 4.7% of cases, with a significantly higher incidence in the CoBaI group (10.5%) at the 4-week follow-up. At the 12-month follow-up, RLL were observed in 29.8% of TKAs in the CoBaI group, while the incidence was lower in the CoB group (24.0%) (not statistically significant). There were two revisions in each group, none of which were due to aseptic loosening.

CONCLUSION: The findings of this study suggest that the application of bone cement on bone surface only (CoB) may be more beneficial than applying it on both bone surface and implant surface (CoBaI) in terms of short-term presence of RLL in fully cemented primary TKA. Long-term results, especially with regard to aseptic loosening, will be of interest and may provide valuable guidance for future directions in bone cement applications in TKA.

PMID:37736767 | DOI:10.1007/s00402-023-05057-9

NPJ Syst Biol Appl. 2023 Sep 22;9(1):46. doi: 10.1038/s41540-023-00299-0.

ABSTRACT

Mechanistic models are commonly employed to describe signaling and gene regulatory kinetics in single cells and cell populations. Recent advances in single-cell technologies have produced multidimensional datasets where snapshots of copy numbers (or abundances) of a large number of proteins and mRNA are measured across time in single cells. The availability of such datasets presents an attractive scenario where mechanistic models are validated against experiments, and estimated model parameters enable quantitative predictions of signaling or gene regulatory kinetics. To empower the systems biology community to easily estimate parameters accurately from multidimensional single-cell data, we have merged a widely used rule-based modeling software package BioNetGen, which provides a user-friendly way to code for mechanistic models describing biochemical reactions, and the recently introduced CyGMM, that uses cell-to-cell differences to improve parameter estimation for such networks, into a single software package: BioNetGMMFit. BioNetGMMFit provides parameter estimates of the model, supplied by the user in the BioNetGen markup language (BNGL), which yield the best fit for the observed single-cell, time-stamped data of cellular components. Furthermore, for more precise estimates, our software generates confidence intervals around each model parameter. BioNetGMMFit is capable of fitting datasets of increasing cell population sizes for any mechanistic model specified in the BioNetGen markup language. By streamlining the process of developing mechanistic models for large single-cell datasets, BioNetGMMFit provides an easily-accessible modeling framework designed for scale and the broader biochemical signaling community.

PMID:37736766 | DOI:10.1038/s41540-023-00299-0

Syst Rev. 2023 Sep 22;12(1):170. doi: 10.1186/s13643-023-02281-7.

ABSTRACT

This paper presents a generalized registration form for systematic reviews that can be used when currently available forms are not adequate. The form is designed to be applicable across disciplines (i.e., psychology, economics, law, physics, or any other field) and across review types (i.e., scoping review, review of qualitative studies, meta-analysis, or any other type of review). That means that the reviewed records may include research reports as well as archive documents, case law, books, poems, etc. Items were selected and formulated to optimize broad applicability instead of specificity, forgoing some benefits afforded by a tighter focus. This PRISMA 2020 compliant form is a fallback for more specialized forms and can be used if no specialized form or registration platform is available. When accessing this form on the Open Science Framework website, users will therefore first be guided to specialized forms when they exist. In addition to this use case, the form can also serve as a starting point for creating registration forms that cater to specific fields or review types.

PMID:37736736 | DOI:10.1186/s13643-023-02281-7

BMC Psychiatry. 2023 Sep 22;23(1):691. doi: 10.1186/s12888-023-05172-2.

ABSTRACT

BACKGROUND: Prevalence of dementia illness, causing certain morbidity and mortality globally, places burden on global public health. This study primary goal was to assess future risks of dying from severe dementia, given specific return period, within selected group of regions or nations.

METHODS: Traditional statistical approaches do not have benefits of effectively handling large regional dimensionality, along with nonlinear cross-correlations between various regional observations. In order to produce reliable long-term projections of excessive dementia death rate risks, this study advocates novel bio-system reliability technique, that being particularly suited for multi-regional environmental, biological, and health systems.

DATA: Raw clinical data has been used as an input to the suggested population-based, bio-statistical technique using data from medical surveys and several centers.

RESULTS: Novel spatiotemporal health system reliability methodology has been developed and applied to dementia death rates raw clinical data. Suggested methodology shown to be capable of dealing efficiently with spatiotemporal clinical observations of multi-regional nature. Accurate disease risks multi-regional spatiotemporal prediction being done, relevant confidence intervals have been presented as well.

CONCLUSIONS: Based on available clinical survey dataset, the proposed approach may be applied in a variety of clinical public health applications. Confidence bands, given for predicted dementia-associated death rate levels with return periods of interest, have been reasonably narrow, indicating practical values of advocated prognostics.

PMID:37736716 | DOI:10.1186/s12888-023-05172-2

Trials. 2023 Sep 22;24(1):602. doi: 10.1186/s13063-023-07629-x.

ABSTRACT

BACKGROUND: Due to the growing gap between the demand and supply of therapeutic services for people suffering from depression, with this study, we are investigating the effectiveness and factors of influence of new approaches in group treatments for depression. Two previous studies have already identified bouldering psychotherapy (BPT) as an effective option. It combines psychotherapeutic interventions with action- and body-oriented bouldering exercises. Mental model therapy (MMT) is a new cognitive-behavioral approach for treating depression. It focuses on identifying cognitive distortions, biases in decision making, and false assumptions and aims to correct and replace them with useful mental models. We aim to investigate the effectiveness of the interventions compared with a control group (CG) and to assess the factors of influence in a mixed methods approach.

METHODS: The study is being conducted as a randomized controlled intervention trial. Adult participants with unipolar depression are being randomized into three groups (BPT, MMT, or CG), and the first two groups are undergoing a 10-week treatment phase. CG follows their individual standard treatment as usual. A priori power analysis revealed that about 120 people should be included to capture a moderate effect. The primary outcome of the study is depression rated with the Montgomery and Asberg Depression Rating Scale (MADRS) before (t0), directly after (t1), and 12 months after the intervention phase (t2). Data are being collected via questionnaires, computer-assisted video interviews, and physical examinations. The primary hypotheses will be statistically analyzed by mixed model ANOVAs to compare the three groups over time. For secondary outcomes, further multivariate methods (e.g., mixed model ANOVAs and regression analyses) will be conducted. Qualitative data will be evaluated on the basis of the qualitative thematic analysis.

DISCUSSION: This study is investigating psychological and physical effects of BPT and MMT and its factors of influence on outpatients suffering from depression compared with a CG in a highly naturalistic design. The study could therefore provide insight into the modes of action of group therapy for depression and help to establish new short-term group treatments. Methodological limitations of the study might be the clinical heterogeneity of the sample and confounding effects due to simultaneous individual psychotherapy.

TRIAL REGISTRATION: ISRCTN, ISRCTN12347878. Registered 28 March 2022, https://www.isrctn.com/ISRCTN12347878 .

PMID:37736688 | DOI:10.1186/s13063-023-07629-x

Biom J. 2023 Sep 21:e2200285. doi: 10.1002/bimj.202200285. Online ahead of print.

ABSTRACT

In many areas, applied researchers as well as practitioners have to choose between different solutions for a problem at hand; this calls for optimal decision rules to settle the choices involved. As a key example, one may think of the search for optimal treatment regimes (OTRs) in clinical research, that specify which treatment alternative should be administered to each patient under study. Motivated by the fact that the concept of optimality of decision rules in general and treatment regimes in particular has received so far relatively little attention and discussion, we will present a number of reflections on it, starting from the basics of any optimization problem. Specifically, we will analyze the search space and the to be optimized criterion function underlying the search of single decision point OTRs, along with the many choice aspects that show up in their specification. Special attention is paid to formal characteristics and properties as well as to substantive concerns and hypotheses that may guide these choices. We illustrate with a few empirical examples taken from the literature. Finally, we discuss how the presented reflections may help sharpen statistical thinking about optimality of decision rules for treatment assignment and to facilitate the dialogue between the statistical consultant and the applied researcher in search of an OTR.

PMID:37736675 | DOI:10.1002/bimj.202200285

J Sports Med Phys Fitness. 2023 Sep 22. doi: 10.23736/S0022-4707.23.14996-6. Online ahead of print.

ABSTRACT

BACKGROUND: Physical strength stimulation and, in general, physical activity induces brain plasticity (functional and structural adaptations) in different cerebral areas, benefiting executive function, cognition, attention and academic performance, which is usually estimated by measuring the Intelligent Quotient (IQ), and IQ is related to short-term memory, generally during school age. However, very little is known about the role of physical strength on short-term memory efficiency. Therefore, the primary aim of this study is to examine whether the level of physical strength can positively impact short-term memory efficiency in primary school children. Additionally, if this effect is observed, the secondary goal of this study is to determine whether the age of the participants plays a role in mediating and moderating this influence.

METHODS: Seventy-five children from a primary school in the metropolitan area of Turin were recruited for this study. Each subject performed the overhead medicine ball toss (backwards) test to assess physical strength and the Digit Span test from the Wechsler Intelligence Scale for Children (WISC) to evaluate short-term memory efficiency. Firstly, a simple mediation model was used to identify the possible impact of physical strength levels on short-term memory efficiency and the potential role of participants’ chronological age. Secondly, a moderation model was carried out to observe if age could moderate the impact of physical training on short-term memory efficiency and the different significance levels of the moderator. Significance was assumed at P<0.05.

RESULTS: The results showed a statistically significant direct effect of physical strength on short-term memory (Β=0.429, t<inf>(72)</inf>=3.247, P<0.01). On the contrary, age was not statistically significant (Β=0.167, t<inf>(72)</inf>=3.247, P=0.211). Furthermore, a significant interaction between strength and age was identified by the moderation model (β=-0.270, P<0.01). Specifically, the impact of physical strength levels on short-term memory increased for individuals who were above the mean age (β=0.755, P<0.001). but not for those under the mean age (β=0.215, P=0.153). This model explains 37.2% of the variance in memory (R²=0.372, F<inf>(3, 71)</inf>=14.031, P<0.001).

CONCLUSIONS: These findings suggest that physical strength can positively influence short-term memory. In addition, this impact is enhanced in older-age children. Thus, primary school programs should stimulate physical strength to help children develop cognitive abilities.

PMID:37736663 | DOI:10.23736/S0022-4707.23.14996-6

Beilstein J Nanotechnol. 2023 Sep 12;14:939-950. doi: 10.3762/bjnano.14.77. eCollection 2023.

ABSTRACT

Nanoparticles with their unique features have attracted researchers over the past decades. Heavy metals, upon release and emission, may interact with different environmental components, which may lead to co-exposure to living organisms. Nanoscale titanium dioxide (nano-TiO₂) can adsorb heavy metals. The current idea is that nanoparticles (NPs) may act as carriers and facilitate the entry of heavy metals into organisms. Thus, the present study reports nanoscale quantitative structure-activity relationship (nano-QSAR) models, which are based on an ensemble learning approach, for predicting the cytotoxicity of heavy metals adsorbed on nano-TiO₂ to human renal cortex proximal tubule epithelial (HK-2) cells. The ensemble learning approach implements gradient boosting and bagging algorithms; that is, random forest, AdaBoost, Gradient Boost, and Extreme Gradient Boost were constructed and utilized to establish statistically significant relationships between the structural properties of NPs and the cause of cytotoxicity. To demonstrate the predictive ability of the developed nano-QSAR models, simple periodic table descriptors requiring low computational resources were utilized. The nano-QSAR models generated good R² values (0.99-0.89), Q² values (0.64-0.77), and Q²F₁ values (0.99-0.71). Thus, the present work manifests that ML in conjunction with periodic table descriptors can be used to explore the features and predict unknown compounds with similar properties.

PMID:37736658 | PMC:PMC10509545 | DOI:10.3762/bjnano.14.77

Chem Sci. 2023 Aug 29;14(36):9827-9837. doi: 10.1039/d3sc02993j. eCollection 2023 Sep 20.

ABSTRACT

Microscale Thermophoresis (MST) is a powerful biophysical technique that measures the mobility of biomolecules in response to a temperature gradient, making it useful for investigating the interactions between biological molecules. This study presents a novel methodology for studying RNA-containing samples using non-covalent nucleic acid-sensitive dyes in MST. This “mix-and-measure” protocol uses non-covalent dyes, such as those from the Syto or Sybr series, which lead to the statistical binding of one fluorophore per RNA oligo showing key advantages over traditional covalent labelling approaches. This new approach has been successfully used to study the binding of ligands to RNA molecules (e.g., SAM- and PreQ₁ riboswitches) and the identification of modifications (e.g., m⁶A) in short RNA oligos which can be written by the RNA methyltransferase METTL3/14.

PMID:37736627 | PMC:PMC10510756 | DOI:10.1039/d3sc02993j

Front Plant Sci. 2023 Sep 6;14:1188627. doi: 10.3389/fpls.2023.1188627. eCollection 2023.

ABSTRACT

Corn-leaf aphid (CLA), Rhopalosiphum maidis (Fitch) (Hemiptera: Aphididae) is a serious economic pest of barley worldwide. Breeding for aphid resistance in plants is considered a cost-effective and environmentally safe approach for aphid control, compared to the use of chemical pesticides. One of the challenges in breeding for aphid resistance is the identification of resistant plant genotypes, which can be achieved through the use of molecular markers. In the present study, a set of aphid specific 10 simple-sequence repeats (SSR) markers were used to investigate genetic diversity and population structure analyses in 109 barley genotypes against R. maidis. Three statistical methods viz., multivariate hierarchical clustering based on Jaccard’s similarity coefficient, principal coordinate analysis (PCoA) and the Bayesian approach were utilized to classify the 109 barley genotypes. The analyses revealed four subpopulations i.e., SubPop1, SubPop2, SubPop3 and SubPop4 with 19, 46, 20 and 24 genotypes including admixtures, respectively and represented 17.43%, 42.2%, 18.34% and 22.01% genotypes of the total population size, respectively. The studied SSR markers produced 67 polymorphic bands, with an average of 6.7 and ranging from 3 to 12 bands. Heterozygosity (H) was found to be highest in SSR28 (0.64) and lowest in SSR27 (0.89). The observed genetic diversity index varied from 0.10 to 0.34 (with an average of 0.19). Major allele frequency varied from 74.08% to 94.80%. On an average, 87.52% of the 109 barley genotypes shared a common major allele at any locus. Based on the Aphid Infestation Index (AII), only 2 genotypes were found to be resistant against CLA. SubPop2 also had lowest mean aphid population (28.83), widest genetic similarity index (0.60-1.00) and highest genetic similarity coefficient (0.82), which highlighted its potential for inclusion in future CLA resistance breeding programs.

PMID:37736612 | PMC:PMC10510198 | DOI:10.3389/fpls.2023.1188627