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Nevin Manimala Statistics

Construction of a New Dual-Responsive Nano-Drug Delivery System for Matrix Metalloproteinases and Adenosine Triphosphate in Ovarian Cancer Using Nanomicelles

J Biomed Nanotechnol. 2022 Mar 1;18(3):718-728. doi: 10.1166/jbn.2022.3303.

ABSTRACT

In this manuscript we constructed a dual-responsive nano-drug delivery system for matrix metalloproteinases and ATP in ovarian cancer microenvironment. The nanomicelle PCL-DNA/DOX-Peptide-PEG was prepared by intercalating doxorubicin hydrochloride between C and G base pairs of DNA double helix structure. Another ATP-responsive nanomicelle PCL-DNA/DOX-PEG was prepared. Then we analyzed the characterization of nanomicelles (particle size, potential, surface morphology, etc.) and drug loading binding and drug release behavior. In addition, the effect of nanomicelles on the viability of mouse ovarian epithelial tumor cell ID-8 was detected by CCK-8 method. CCK-8 assay detected that different concentrations of carrier had no difference on the proliferation of ID-8 cells, and the survival rate of ID-8 cells by different concentrations of DOX preparations was statistically significant and the same results were observed in cytotoxicity comparison. Confocal microscopy showed that DOX in the drug-loaded micelle group was concentrated in the nucleus, while free DOX was concentrated in the cytoplasm. ID-8 cells took up the drug-loaded micelles faster. The semi-quantitative analysis of the DOX uptake of ID-8 cells with different treatments showed extremely significant statistical differences. In conclusion, the prepared self-assembled dual-responsive nanomicelle PCL-DNA/DOX-Peptide-PEG is novel anti-tumor agent, and is expected to have good tumor tissue penetration ability with a low toxicity.

PMID:35715904 | DOI:10.1166/jbn.2022.3303

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Different plant compartments, different yeasts: the example of the bromeliad phyllosphere

Yeast. 2022 Jun 17. doi: 10.1002/yea.3804. Online ahead of print.

ABSTRACT

The plant phyllosphere is one of the largest sources of microorganisms, including yeasts. In bromeliads, the knowledge of yeasts is dispersed and still incipient. To understand the extent of our knowledge on the subject, this review proposes to compile and synthesize existing knowledge, elucidating possible patterns, biotechnological and taxonomic potentials, bringing to light new knowledge, and identifying information gaps. For such, we systematically review scientific production on yeasts in bromeliads using various databases. The results indicated that the plant compartments flowers, fruits, leaves, and water tank (phytotelma) have been studied when focusing on the yeast community in the bromeliad phyllosphere. More than 180 species of yeasts and yeast-like fungi were recorded from the phyllosphere, 70% were exclusively found in one of these four compartments and only 2% were shared among all. In addition, most of the community had a low frequency of occurrence, and approximately half of the species had a single record. Variables such as bromeliad subfamilies and functional types, as well as plant compartments, were statistically significant, though inconclusive and with low explanatory power. At least 50 yeast species with some biotechnological potentials have been isolated from bromeliads. More than 90% of these species were able to produce extracellular enzymes. In addition, other biotechnological applications have also been recorded. Moreover, new species have been described, though yeasts were only exploited in approximately 1% of the existing bromeliads species, which highlights that there is still much to be explored. Nevertheless, it appears that we are still far from recovering the completeness of the diversity of yeasts in this host. Furthermore, bromeliads proved to be a good ecological model for prospecting new yeasts and for studies on the interaction between plants and yeasts. In addition, the yeast community diverged among plant compartments, establishing bromeliads as a microbiologically complex and heterogeneous mosaic. This article is protected by copyright. All rights reserved.

PMID:35715939 | DOI:10.1002/yea.3804

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Effect of Obesity on Left Ventricular Remodeling and Clinical Outcome in Chinese Patients With Hypertrophic Cardiomyopathy: Assessed by Cardiac MRI

J Magn Reson Imaging. 2022 Jun 17. doi: 10.1002/jmri.28306. Online ahead of print.

ABSTRACT

BACKGROUND: Obesity is highly prevalent in patients with hypertrophic cardiomyopathy (HCM) and believed to influence its phenotype.

PURPOSE: To explore the effects of obesity on left ventricular (LV) remodeling and long-term clinical course in Chinese patients with HCM.

STUDY TYPE: Longitudinal.

POPULATION: A total of 247 patients with HCM classified according to body mass index (BMI) (normal weight: BMI = 18.0-22.9 kg/m2 [N = 90]; overweight: BMI = 23.0-24.9 kg/m2 [N = 58]; and obese: BMI ≥ 25 kg/m2 [N = 99]).

FIELD STRENGTH/SEQUENCE: 3.0 T/Balanced steady-state free precession sequence and phase-sensitive inversion recovery late gadolinium enhancement (LGE) sequence.

ASSESSMENT: LV function and geometry were measured. LV peak strain analysis was performed. The presence and percentage of LGE in the LV were recorded. The endpoints including heart failure, sudden cardiac death, and overall composite outcome were assessed during a median follow-up of 4.1 years (interquartile range, 3.0-6.2 years).

STATISTICAL TESTS: One-way analysis of variance, Kruskal-Wallis test, or chi-square test; Pearson correlation coefficient (r); multivariable linear regression analysis; Kaplan-Meier survival analysis; and Cox proportional hazards model analysis were conducted. A two-tailed P-value < 0.05 was considered statistically significant.

RESULTS: Obese patients exhibited a significant progressive increase in LV mass compared with normal-weight patients. The magnitude of all LV strain indices gradually and significantly decreased as BMI increased, whereas LV ejection fraction was not significantly different among BMI groups (P = 0.364). Multivariable linear regression analysis showed that obesity had a significant association with impaired strain indices as well as with indexed LV mass. Multivariable Cox model analysis retained obesity as an independent marker for future endpoints, and conveyed a > 3-fold increase in risk compared with patients with normal weight (hazard ratio, 3.04; 95% confidence interval, 1.07-6.57).

DATA CONCLUSION: Obesity is an important environmental modifier that is associated with adverse LV remodeling and is independently associated with future clinical outcomes in Chinese patients with HCM.

LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.

PMID:35715897 | DOI:10.1002/jmri.28306

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ChemChaste: Simulating spatially inhomogeneous biochemical reaction-diffusion systems for modeling cell-environment feedbacks

Gigascience. 2022 Jun 17;11:giac051. doi: 10.1093/gigascience/giac051.

ABSTRACT

BACKGROUND: Spatial organization plays an important role in the function of many biological systems, from cell fate specification in animal development to multistep metabolic conversions in microbial communities. The study of such systems benefits from the use of spatially explicit computational models that combine a discrete description of cells with a continuum description of one or more chemicals diffusing within a surrounding bulk medium. These models allow the in silico testing and refinement of mechanistic hypotheses. However, most existing models of this type do not account for concurrent bulk and intracellular biochemical reactions and their possible coupling.

CONCLUSIONS: Here, we describe ChemChaste, an extension for the open-source C++ computational biology library Chaste. ChemChaste enables the spatial simulation of both multicellular and bulk biochemistry by expanding on Chaste’s existing capabilities. In particular, ChemChaste enables (i) simulation of an arbitrary number of spatially diffusing chemicals, (ii) spatially heterogeneous chemical diffusion coefficients, and (iii) inclusion of both bulk and intracellular biochemical reactions and their coupling. ChemChaste also introduces a file-based interface that allows users to define the parameters relating to these functional features without the need to interact directly with Chaste’s core C++ code. We describe ChemChaste and demonstrate its functionality using a selection of chemical and biochemical exemplars, with a focus on demonstrating increased ability in modeling bulk chemical reactions and their coupling with intracellular reactions.

AVAILABILITY AND IMPLEMENTATION: ChemChaste version 1.0 is a free, open-source C++ library, available via GitHub at https://github.com/OSS-Lab/ChemChaste under the BSD license, on the Zenodo archive at zendodo doi, as well as on BioTools (biotools:chemchaste) and SciCrunch (RRID:SCR022208) databases.

PMID:35715874 | DOI:10.1093/gigascience/giac051

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Nevin Manimala Statistics

Identification of characteristic metabolic panels for different stages of prostate cancer by 1H NMR-based metabolomics analysis

J Transl Med. 2022 Jun 17;20(1):275. doi: 10.1186/s12967-022-03478-5.

ABSTRACT

BACKGROUND: Prostate cancer (PCa) is the second most prevalent cancer in males worldwide, yet detecting PCa and its metastases remains a major challenging task in clinical research setups. The present study aimed to characterize the metabolic changes underlying the PCa progression and investigate the efficacy of related metabolic panels for an accurate PCa assessment.

METHODS: In the present study, 75 PCa subjects, 62 PCa patients with bone metastasis (PCaB), and 50 benign prostatic hyperplasia (BPH) patients were enrolled, and we performed a cross-sectional metabolomics analysis of serum samples collected from these subjects using a 1H nuclear magnetic resonance (NMR)-based metabolomics approach.

RESULTS: Multivariate analysis revealed that BPH, PCa, and PCaB groups showed distinct metabolic divisions, while univariate statistics integrated with variable importance in the projection (VIP) scores identified a differential metabolite series, which included energy, amino acid, and ketone body metabolism. Herein, we identified a series of characteristic serum metabolic changes, including decreased trends of 3-HB and acetone as well as elevated trends of alanine in PCa patients compared with BPH subjects, while increased levels of 3-HB and acetone as well as decreased levels of alanine in PCaB patients compared with PCa. Additionally, our results also revealed the metabolic panels of discriminant metabolites coupled with the clinical parameters (age and body mass index) for discrimination between PCa and BPH, PCaB and BPH, PCaB and PCa achieved the AUC values of 0.828, 0.917, and 0.872, respectively.

CONCLUSIONS: Overall, our study gave successful discrimination of BPH, PCa and PCaB, and we characterized the potential metabolic alterations involved in the PCa progression and its metastases, including 3-HB, acetone and alanine. The defined biomarker panels could be employed to aid in the diagnosis and classification of PCa in clinical practice.

PMID:35715864 | DOI:10.1186/s12967-022-03478-5

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Are Blastocystis hominis and Cryptosporidium spp. playing a positive role in colorectal cancer risk? A systematic review and meta-analysis

Infect Agent Cancer. 2022 Jun 17;17(1):32. doi: 10.1186/s13027-022-00447-x.

ABSTRACT

OBJECTIVE: Intestinal protozoa Blastocystis hominis and Cryptosporidium spp. are two influential factors in intestinal complications and malignancies. In present study, we estimated the pooled prevalence and odds ratio (OR) of the two parasites in colorectal cancer (CRC) patients and their possible association with the deadly disease.

METHOD: Our systematic search was conducted for published researches between January 1, 2000 and April 30, 2022 by using four international databases include Scopus, PubMed, and Web of Science as well as Google scholar search engine. The random- and fixed-effects models were used to estimate the pooled prevalence, OR, and 95% confidence interval (CI) by comprehensive meta-analysis (V2.2, Bio stat) software. Inclusion and exclusion criteria were applied.

RESULTS: Thirteen papers (seven case-control and six cross-sectional studies) for B. hominis/CRC and six papers (two case-control and four cross-sectional studies) for Cryptosporidium spp./CRC were eligible to include in data synthesis. Pooled prevalence of B. hominis and Cryptosporidium spp. in CRC patients was calculated to be 26.8% (95% CI 19.4-35.7%) and 12.7% (95% CI 6.8-22.5%), respectively. Based on case-control studies, significant difference was found between case and controls in both protozoa (B. hominis OR 2.10; 95% CI 1.39-3.18% vs. Cryptosporidium spp. OR 5.06; 95% CI 1.8-13.6%). Considering the Blastocystis subtypes, ST1 (5/6; 83.33% studies) and ST3 (5/6; 83.33% studies) had the highest number of reports in CRC patients. Regarding the Cryptosporidium species, only C. parvum and C. hominis were reported.

CONCLUSION: Given the significant prevalence of both parasites in CRC patients and their statistically significant association, there is a need to pay more attention to these two intestinal parasites in under treatment patients.

PMID:35715853 | DOI:10.1186/s13027-022-00447-x

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Personal statement versus psychological test as admission to the nursing degree: an evaluation

BMC Nurs. 2022 Jun 17;21(1):157. doi: 10.1186/s12912-022-00919-w.

ABSTRACT

BACKGROUND: A review of admissions to nursing in Northern Ireland was prompted by the growing number of applications and a desire to ensure that the applicants had the right values for a career in nursing. Concerns regarding authorship, plagiarism and reliability of personal statements used to select applicants to interview was the focus of this research. This study evaluates the psychometric properties of a Personal Statement (PS) as a method for admission to a nursing programme and a values-based psychological screening tool, Nurse Match (NM).

METHODS: A self-selecting, purposive sample (n = 228; 9.7%) was drawn from applicants to Schools of Nursing in the United Kingdom (n = 2350). Participants all of whom had completed a Personal Statement were asked to complete a psychological tool and the scoring outcomes and psychometric properties of both tests were investigated. Statistical analysis was conducted using Minitab 17.

RESULTS: Applicants from 18 schools and five colleges responded. The majority (72.4%) were aged 18-19. Findings provide practical, theoretical, statistical, and qualitative reasons for concluding that the Personal Statement has substantial limitations as a measure of suitability. It does not compare well with international test standards for psychometric tests. In contrast, NM is a valid and reliable measure with good discriminatory power, standardised administration and consistent marking.

CONCLUSION: NM is a viable alternative to the PS for shortlisting applicants for nursing interviews.

PMID:35715840 | DOI:10.1186/s12912-022-00919-w

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Wearable airbag technology and machine learned models to mitigate falls after stroke

J Neuroeng Rehabil. 2022 Jun 17;19(1):60. doi: 10.1186/s12984-022-01040-4.

ABSTRACT

BACKGROUND: Falls are a common complication experienced after a stroke and can cause serious detriments to physical health and social mobility, necessitating a dire need for intervention. Among recent advancements, wearable airbag technology has been designed to detect and mitigate fall impact. However, these devices have not been designed nor validated for the stroke population and thus, may inadequately detect falls in individuals with stroke-related motor impairments. To address this gap, we investigated whether population-specific training data and modeling parameters are required to pre-detect falls in a chronic stroke population.

METHODS: We collected data from a wearable airbag’s inertial measurement units (IMUs) from individuals with (n = 20 stroke) and without (n = 15 control) history of stroke while performing a series of falls (842 falls total) and non-falls (961 non-falls total) in a laboratory setting. A leave-one-subject-out crossvalidation was used to compare the performance of two identical machine learned models (adaptive boosting classifier) trained on cohort-dependent data (control or stroke) to pre-detect falls in the stroke cohort.

RESULTS: The average performance of the model trained on stroke data (recall = 0.905, precision = 0.900) had statistically significantly better recall (P = 0.0035) than the model trained on control data (recall = 0.800, precision = 0.944), while precision was not statistically significantly different. Stratifying models trained on specific fall types revealed differences in pre-detecting anterior-posterior (AP) falls (stroke-trained model’s F1-score was 35% higher, P = 0.019). Using activities of daily living as non-falls training data (compared to near-falls) significantly increased the AUC (Area under the receiver operating characteristic) for classifying AP falls for both models (P < 0.04). Preliminary analysis suggests that users with more severe stroke impairments benefit further from a stroke-trained model. The optimal lead time (time interval pre-impact to detect falls) differed between control- and stroke-trained models.

CONCLUSIONS: These results demonstrate the importance of population sensitivity, non-falls data, and optimal lead time for machine learned pre-impact fall detection specific to stroke. Existing fall mitigation technologies should be challenged to include data of neurologically impaired individuals in model development to adequately detect falls in other high fall risk populations. Trial registration https://clinicaltrials.gov/ct2/show/NCT05076565 ; Unique Identifier: NCT05076565. Retrospectively registered on 13 October 2021.

PMID:35715823 | DOI:10.1186/s12984-022-01040-4

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Green pharmacy at the tips of your toes: medicinal plants used by Setos and Russians of Pechorsky District, Pskov Oblast (NW Russia)

J Ethnobiol Ethnomed. 2022 Jun 17;18(1):46. doi: 10.1186/s13002-022-00540-w.

ABSTRACT

BACKGROUND: While the hybridization of ecological knowledge has attracted substantial attention from researchers, the coexistence of local and allopathic medicinal traditions in literate societies widely exposed to centralized schooling and medical services has not yet been investigated. To this end, we studied the current and remembered local ethnomedical practices of Setos and neighboring Russians at the border with Estonia.

METHODS: During 2018-2019, we carried out 62 semi-structured interviews in the Pechorsky District of Pskov Oblast, NW Russia. For cross-border comparison, we utilized the data from 71 interviews carried out at the same time among Setos in Estonia. The Jaccard Similarity Index and qualitative comparison were used to analyze the data.

RESULTS: The study participants mentioned 819 uses of 112 taxa belonging to 54 families. More than two-thirds of the uses (565) were quoted by 36 Russian interviewees, while the remaining third (254) were quoted by 26 Seto interviewees, with the top 3 in both groups being Viburnum opulus, Rubus idaeus, and Plantago major. The Seto intraethnic similarity index was lower (0.43) than the interethnic similarity in Estonia (0.52) and comparable to the interethnic similarity in Russia (0.43). Setos in Russia and local Russians rely more on wild plants (86% and 80% of medicinal plants, respectively), while Setos in Estonia and Estonians show less preference to them (63% and 61%, respectively). Nevertheless, Setos tend to source wild plants available in their gardens (33% of plants for Setos in Estonia and 38% in Russia), while Russians prefer to source them in the wild (38%).

CONCLUSIONS: The preference of both groups in Russia for wild plants over cultivated and purchased plants was inspired by the overall plant literacy, access to nature, and one-to-many knowledge transfer favoring wild plants. Setos in Russia reported a narrower and more homogenous set of plants transferred vertically. However, due to atomization and the erosion of horizontal connections, there are singular plant uses among Setos that overlap with the local Russian set of medicinal plants and differ qualitatively from that of Setos in Estonia.

PMID:35715815 | DOI:10.1186/s13002-022-00540-w

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Role of stereotactic body radiation in the enhancement of the quality of life in locally advanced pancreatic adenocarcinoma: a systematic review

Radiat Oncol. 2022 Jun 17;17(1):108. doi: 10.1186/s13014-022-02076-5.

ABSTRACT

INTRODUCTION: Up to 30% of pancreatic cancer patients initially present locally advanced (LAPC). Stereotactic body radiation therapy (SBRT) may be an additional palliative treatment option when curative resection is no longer achievable. Our systematic review aimed to assess the effect of SBRT on the quality of life in LAPC.

METHODS: We searched five databases until June 29th, 2021, for original articles that reported on SBRT for histologically proven LAPC in adults. Data were extracted on study characteristics, SBRT and additional therapy regimen, pain, biliary complications, nutrition, quality of life and other patient-reported outcomes. Statistical analyses were performed for population and survival data.

RESULTS: 11 case series studies comprising 292 patients with a median age of 66 (range 34-89) years were included in the final analysis. The weighted average BED2;10 (radiation biologically effective dose, equivalent dose in 2 Gy fractions) was 54 Gy, delivered in 3 to 6 fractions. The individual studies used different scales and endpoints, not allowing a meta-analysis. Pain generally appeared to be improved by SBRT. SBRT significantly reduced jaundice. Local control was achieved in 71.7% of patients. Weight loss and nausea also tended to improve after SBRT.

CONCLUSION: SBRT of locally advanced irresectable pancreatic cancer is a promising approach for achieving local control and improving the quality of life. However, randomized controlled trials with larger cohorts are needed to assess the value of SBRT in pancreatic cancer therapy.

PMID:35715808 | DOI:10.1186/s13014-022-02076-5