Nevin Manimala

Acta Orthop. 2023 Jun 27;94:300-306. doi: 10.2340/17453674.2023.12359.

ABSTRACT

BACKGROUND AND PURPOSE: Mesenchymal stem cells (MSCs), both endogenous and exogenous, enhance chondrocyte proliferation by stimulating collagen type II. Secretome, an MSC derivate, has shown to also provide this mechanism through a paracrine effect. We aimed to evaluate the use of secretome and MSC in the management of early osteoarthritis (OA).

ANIMALS AND METHODS: 19 (1 control) male sheep (Ovies aries), which were operated on with total lateral meniscectomy to induce knee OA, were divided into 3 groups: the secretome group, hyaluronic acid group, and MSC group. Each group was injected with the respective substances and was evaluated macroscopically and microscopically. The Osteoarthritis Research Society International (OARSI) score was calculated for all subjects and a descriptive and comparative statistical analysis was undertaken.

RESULTS: The macroscopic analysis of the treated groups revealed better OARSI score in the secretome group compared with the other 2 groups. The secretome group showed a significantly better microscopic score compared with the hyaluronic acid group (mean difference [MD] 6.0, 95% confidence interval [CI] 0.15-12), but no significant difference compared with the MSC group (MD 1.0, CI -4.8 to 6.8).

CONCLUSION: Intra-articular injection of secretome is effective in managing early-stage osteoarthritis in the animal model compared with hyaluronic acid and has similar efficacy to MSC injection.

PMID:37377012 | DOI:10.2340/17453674.2023.12359

Phys Chem Chem Phys. 2023 Jun 28. doi: 10.1039/d3cp01428b. Online ahead of print.

ABSTRACT

In recent years the use of partition systems other than the widely used biphasic n-octanol/water has received increased attention to gain insight into the molecular features that dictate the lipophilicity of compounds. Thus, the difference between n-octanol/water and toluene/water partition coefficients has proven to be a valuable descriptor to study the propensity of molecules to form intramolecular hydrogen bonds and exhibit chameleon-like properties that modulate solubility and permeability. In this context, this study reports the experimental toluene/water partition coefficients (log P_tol/w) for a series of 16 drugs that were selected as an external test set in the framework of the Statistical Assessment of the Modeling of Proteins and Ligands (SAMPL) blind challenge. This external set has been used by the computational community to calibrate their methods in the current edition (SAMPL9) of this contest. Furthermore, the study also investigates the performance of two computational strategies for the prediction of log P_tol/w. The first relies on the development of two machine learning (ML) models, which are built up by combining the selection of 11 molecular descriptors in conjunction with either the multiple linear regression (MLR) or the random forest regression (RFR) model to target a dataset of 252 experimental log P_tol/w values. The second consists of the parametrization of the IEF-PCM/MST continuum solvation model from B3LYP/6-31G(d) calculations to predict the solvation free energies of 163 compounds in toluene and benzene. The performance of the ML and IEF-PCM/MST models has been calibrated against external test sets, including the compounds that define the SAMPL9 log P_tol/w challenge. The results are used to discuss the merits and weaknesses of the two computational approaches.

PMID:37376995 | DOI:10.1039/d3cp01428b

Physiol Meas. 2023 Jun 27. doi: 10.1088/1361-6579/ace241. Online ahead of print.

ABSTRACT

Acute myocardial ischemia in the setting of acute coronary syndrome (ACS) may lead to myocardial infarction. Therefore, timely decisions, already in the pre-hospital phase, are crucial to preserving cardiac function as much as possible. Serial electrocardiography, a comparison of the acute electrocardiogram (AECG) with a previously recorded (reference) ECG (RECG) of the same patient, aids in identifying ischemia-induced electrocardiographic changes by correcting for interindividual ECG variability. Recently, the combination of deep learning and serial electrocardiography provided promising results in detecting emerging cardiac diseases; thus, the aim of our current study is the application of our novel Advanced Repeated Structuring & Learning Procedure (AdvRS&LP), specifically designed for acute myocardial ischemia detection in the pre-hospital phase by using serial ECG features. Data belong to the SUBTRACT study, which includes 1425 ECG pairs, 194 (14%) ACS patients, and 1035 (73%) controls. Each ECG pair was characterized by 28 serial features that, with sex and age, constituted the inputs of the Advanced Repeated Structuring & Learning Procedure (AdvRS&LP), an automatic constructive procedure for creating supervised neural networks (NN). We created 100 NNs to compensate for statistical fluctuations due to random data divisions of a limited dataset. We compared the performance of the obtained NNs to a logistic regression (LR) procedure and the Glasgow program (Uni-G) in terms of area-under-the-curve (AUC) of the receiver-operating-characteristic (ROC) curve, sensitivity (SE), and specificity (SP). NNs (median AUC=83%, median SE=77%, and median SP=89%) presented statistically (P value lower than 0.05) higher testing performance than those presented by LR (median AUC=80%, median SE=67%, and median SP=81%) and by Uni-G algorithm (median SE=72% and median SP=82%). In conclusion, the positive results underscore the value of serial comparison of ECG in ischemia detection and, NNs created by AdvRS&LP seems to be considered as realible tools in terms of generalization and clinical applicability.

PMID:37376978 | DOI:10.1088/1361-6579/ace241

Chin Med Sci J. 2023 Jun 28. doi: 10.24920/004214. Online ahead of print.

ABSTRACT

Objective This study aimed to analyze the medication rules of traditional Chinese medicine (TCM) for malaria treatment. Methods Statistical analysis was conducted on the basic attributes of TCM drugs with regard to property, therapeutic methods, flavor, and meridian tropism. A complex network of TCM drug associations was constructed. Cluster analysis was applied to obtain the core drugs for malaria treatment. The Apriori algorithm was applied to analyze the association rules of these core drugs. Results A total of 357 herbs were used 3,194 times in 461 prescriptions for malaria treatment. Radix Glycyrrhizae (), Rhizoma Pinelliae (), Radix Bupleuri (), and Radix Dichroae () were the frequently used herbs through supplementing, exterior-releasing, heat-clearing, qi-rectifying, and damp-resolving therapeutic methods. Such herbs had warm, natural, and cold herbal properties; pungent, bitter, and sweet flavor; and spleen, lung, and stomach meridian tropism. Cluster analysis showed 61 core drugs, including Radix Glycyrrhizae, Rhizoma Pinelliae, Radix Bupleuri, and Radix Scutellariae (). Apriori association rule analysis yielded 12 binomial rules (herb pairs) and six trinomial rules (herb combinations). Radix Bupleuri plus Radix Scutellariae was the core herbal pair for treating malaria. This pair could be combined with Rhizoma Atractylodis Macrocephalae () for treating warm or cold malaria, combined with Pericarpium Citri Reticulatae () or Radix Dichroae () for treating miasmic malaria, or combined with turtle shells () for treating malaria with splenomegaly. Conclusions TCM can be used to classify and treat malaria in accordance with the different stages of development. As the core herbal pair, Radix Bupleuri plus Radix Scutellariae can be combined with other drugs to treat malaria with different syndrome types.

PMID:37376890 | DOI:10.24920/004214

Stat Methods Med Res. 2023 Jun 28:9622802231181231. doi: 10.1177/09622802231181231. Online ahead of print.

ABSTRACT

Coronary artery disease is one of the most common types of cardiovascular disease. Death from coronary heart disease is influenced by genetic factors in both women and men. In this article, we propose a novel Bayesian variable selection framework for the identification of important genetic variants associated with coronary artery disease disease status. Instead of treating each feature independently as in conventional Bayesian variable selection methods, we propose an innovative prior for the inclusion probabilities of genetic variants that accounts for their ordering structure. We assume that neighboring variants are more likely to be selected together as they tend to be highly correlated and have similar biological functions. Additionally, we propose to group participating subjects based on underlying population structure and fit separate regressions, so that the regression coefficients can better reflect different disease risks in different population groups. Our approach borrows strength across regression models through an innovative prior inspired by the Markov random fields. The proposed framework can improve variable selection and prediction performances as demonstrated in the simulation studies. We also apply the proposed framework to the CATHeterization GENetics data with binary Coronary artery disease disease status.

PMID:37376889 | DOI:10.1177/09622802231181231

Int J Adolesc Med Health. 2023 Jun 29. doi: 10.1515/ijamh-2022-0070. Online ahead of print.

ABSTRACT

OBJECTIVES: The present study was designed to determine the effect of education based on health belief model (HBM) on high-risk health behaviors in youth.

METHODS: This interventional quasi-experimental study was conducted in 2020-2021 with the participation of 62 students living in the dormitories of University of Mashhad Medical Sciences with available sampling and random allocation in two experimental and control groups. The experimental group received six training sessions. The research instruments included: demographic information, researcher-made questionnaire including HBM constructs, youth high-risk behaviors questionnaire (2019) that were used before, immediately and one month after the educations. The collected data were analyzed using t-test, Mann-Whitney, and ANOVA with SPSS 21.

RESULTS: The mean scores in the field of high-risk behaviors as well as all constructs of HBM were not statistically significant in the two groups before the intervention (p>0.05), but the mean scores immediately and one month after the educational intervention in all constructs of the HBM and the range of high-risk behaviors (other than smoking behavior) in the experimental group compared to the control group was statistically significant (p<0.001).

CONCLUSIONS: Education based on HBM was effective in reducing high-risk health behaviors, so this educational model can be used to reduce high-risk health behaviors in female students.

PMID:37376886 | DOI:10.1515/ijamh-2022-0070

Analyst. 2023 Jun 28. doi: 10.1039/d3an00545c. Online ahead of print.

ABSTRACT

Ion mobility spectrometry (IMS), which can be employed as either a stand-alone instrument or coupled to mass spectrometry, has become an important tool for analytical chemistry. Because of the direct relation between an ion’s mobility and its structure, which is intrinsically related to its collision cross section (CCS), IMS techniques can be used in tandem with computational tools to elucidate ion geometric structure. Here, we present MobCal-MPI 2.0, a software package that demonstrates excellent accuracy (RMSE 2.16%) and efficiency in calculating low-field CCSs via the trajectory method (≤30 minutes on 8 cores for ions with ≤70 atoms). MobCal-MPI 2.0 expands on its predecessor by enabling the calculation of high-field mobilities through the implementation of the 2^nd order approximation to two-temperature theory (2TT). By further introducing an empirical correction to account for deviations between 2TT and experiment, MobCal-MPI 2.0 can compute accurate high-field mobilities that exhibit a mean deviation of <4% from experimentally measured values. Moreover, the velocities used to sample ion-neutral collisions were updated from a weighted to a linear grid, enabling the near-instantaneous evaluation of mobility/CCS at any effective temperature from a single set of N₂ scattering trajectories. Several enhancements made to the code are also discussed, including updates to the statistical analysis of collision event sampling and benchmarking of overall performance.

PMID:37376881 | DOI:10.1039/d3an00545c

Arch Med Sadowej Kryminol. 2021;71(1-2):38-46. doi: 10.5114/amsik.2021.106014.

ABSTRACT

AIM: The study aimed to examine whether volatile substances (ethanol, isopropanol, and acetone) can be detected in costal cartilage and also if concentrations of detected substances reliably reflect their concentrations in the peripheral blood – the standard forensic material for toxicological analyses. Such knowledge can be useful in cases when a cadaver’s blood is unavailable or contaminated.

MATERIAL AND METHODS: Ethanol, isopropanol, and acetone concentrations were determined in samples of unground costal cartilage (UCC), ground costal cartilage (GCC), femoral venous blood, and urine. The samples were analysed by gas chromatography (GC) with a flame ionization detector using headspace analysis.

RESULTS: Volatile substances were detected in 12 out of 100 analysed samples. There was a strong positive correlation between ethanol concentration in the blood and urine (r = 0.899, p < 0.001), UCC (r = 0.809, p < 0.01), and GCC (r = 0.749, p < 0.01). A similar strong correlation was found for isopropanol concentration in the blood and urine (r = 0.979, p < 0.001), UCC (r = 0.866, p < 0.001), and GCC (r = 0.942, p < 0.001). Acetone concentration in the blood strongly correlated only with its concentration in urine (r = 0.960, p < 0.001).

CONCLUSIONS: We demonstrated for the first time the possibility of detecting volatile substances: ethanol, isopropanol and acetone in a human costal cartilage. Also, the study showed that higher volatiles concentrations were better determined in ground samples.

PMID:37376862 | DOI:10.5114/amsik.2021.106014

Int J Lang Commun Disord. 2023 Jun 27. doi: 10.1111/1460-6984.12921. Online ahead of print.

ABSTRACT

PURPOSE: To identify how speech-language pathologists (SLPs) in the United States are screening for and identifying dysphagia. To do this, we examined the approaches most often used to screen for dysphagia and the influence of contextual factors such as setting, continuing education and means of staying up to date with the most current literature on screening approaches.

METHOD: A web-based survey composed of 32 questions was developed and field tested for content, relevance and workflow. The survey was distributed online, via social media, online SLP forums and through the American Speech-Language-Hearing Association’s Special Interest Group 13 (swallowing disorders). One hundred and thirty-seven clinicians from the United States completed the survey and were included for analysis using descriptive statistics and linear regression modelling to assess associations of continuing education and years practicing with screening protocols and consumption of evidence.

RESULTS: Respondents worked in a variety of settings, including acute care, skilled nursing facilities, and inpatient rehabilitation. Most respondents worked with adult populations (88%). The most common screening protocols reported were a volume-dependent water swallow test (74%), subjective patient report (66%), and trials of solids/liquids (49%). Twenty-four percent (24%) reported using a questionnaire, the Eating Assessment Tool (80%) being most common. How clinicians consume their evidence was significantly associated with the types of screening approaches used. Continuing education hours were significantly associated with dysphagia screening protocol choice (p < 0.001) and how clinicians stayed up to date with evidence (p < 0.001).

CONCLUSIONS: Results from this study provide an in-depth look at the choices clinicians are making in the field regarding how to effectively screen patients for the presence of dysphagia. Contextual factors such as evidence base consumption patterns should serve researchers to continue seeking alternative ways to share evidence with clinicians, accessibly. Associations between continuing education and protocol choice show the need for continued evidence-based and high-quality continuing education opportunities.

WHAT THIS PAPER ADDS: This study provides an in-depth look at the choices clinicians are making in the field regarding effective dysphagia screening practices. Clinician screening choices are examined with contextual factors such as evidence base consumption patterns and continuing education. This paper increases knowledge of the most used dysphagia screening practices and context for clinicians and researchers to improve use, evidence and dissemination of best practices.

PMID:37376825 | DOI:10.1111/1460-6984.12921

Ophthalmic Physiol Opt. 2023 Jun 27. doi: 10.1111/opo.13193. Online ahead of print.

ABSTRACT

PURPOSE: To objectively quantify changes in corneoscleral profile, as evaluated by the limbus position and corneoscleral junction (CSJ) angle, as a consequence of wearing different soft contact lens (CL) materials.

METHODS: Twenty-two healthy participants wore silicone hydrogel (SiHy, MyDay, CooperVision) and hydrogel (Hy, Biomedics 1 day extra, CooperVision) soft CLs for 8 h per lens in their left eye. In each session, corneoscleral topography was captured before and immediately after CL removal with an Eye Surface Profiler. Previously validated automatic and objective algorithms for limbal position and CSJ angle calculation were applied to 360 semi-meridians to investigate the effect of short-term CL wear on corneoscleral topography, globally and by sectors, depending on the soft CL material worn.

RESULTS: Short-term soft CL wear significantly impacted limbal position (SiHy: 120 ± 97 μm, Hy: 128 ± 85 μm) and CSJ angle (SiHy: 0.57 ± 0.36°, Hy: 0.55 ± 0.40°); all p < 0.05. A statistically significant difference was found between the sectors with regard to limbus position and CSJ angle before CL wear that remained following lens wear (all pairwise comparisons, p < 0.001). Although individual differences were observed, there was no evidence that one material caused more substantial corneoscleral alterations.

CONCLUSION: Corneoscleral profile parameters were altered significantly following 8 h of soft CL wear. The observed changes in limbus position and CSJ angle support the importance of participant-material biocompatibility.

PMID:37376806 | DOI:10.1111/opo.13193