Categories
Nevin Manimala Statistics

Ethanol Extract of Pomegranate (Punica granatum) Peel in Increasing the Expression of Caspase-3 in DSS-Induced Mice

Int J Inflam. 2021 Dec 2;2021:4919410. doi: 10.1155/2021/4919410. eCollection 2021.

ABSTRACT

BACKGROUND: Colorectal cancer (CRC) is a malignancy derived from the glandular epithelial cells in the colon. Patients with inflammatory bowel disease (IBD) are more likely to develop CRC. Cancer proliferation is characterized by the loss of inhibition of apoptosis, which involves caspase-3 activation. This study examined the effects of the pomegranate peel extract on the expression of caspase-3 in mice crypt cells induced by dextran sodium sulfate (DSS) 2%.

METHODS: The experimental study was done in six groups. All treatments were done in 42 days. The groups were all induced by DSS through water drinking, except for the normal group, which was only given water. The treatments given included the pomegranate extract in two doses (240 mg and 480 mg/kg bw/day), aspirin, and ellagic acid. The specimens were then fixated and stained for the immunohistochemistry scoring for the expression of caspase-3, which was then analyzed statistically.

RESULTS: The H-scores of each treatment group were 213.23 ± 8.32 (DSS group), 243.81 ± 18.69 (normal group), 226.10 ± 12.38 (pomegranate peel extract of 240 mg/kg/d), 238.84 ± 15.81 (pomegranate peel extract of 480 mg/kg/d), 227.47 ± 12.15 (aspirin), and 224.01 ± 18.39 (ellagic acid). Statistical differences were found in one-way analysis of variance (ANOVA) and post hoc analysis among the DSS group, normal group, and dose 2 group (pomegranate peel extract of 480 mg/kg/day).

CONCLUSIONS: The ethanol extract of pomegranate was able to induce apoptosis, which was demonstrated by the increase of caspase-3 expression.

PMID:34900217 | PMC:PMC8660243 | DOI:10.1155/2021/4919410

Categories
Nevin Manimala Statistics

Crossmodal Associations with Olfactory, Auditory, and Tactile Stimuli in Children and Adults

Iperception. 2021 Dec 6;12(6):20416695211048513. doi: 10.1177/20416695211048513. eCollection 2021 Nov.

ABSTRACT

People associate information with different senses but the mechanism by which this happens is unclear. Such associations are thought to arise from innate structural associations in the brain, statistical associations in the environment, via shared affective content, or through language. A developmental perspective on crossmodal associations can help determine which explanations are more likely for specific associations. Certain associations with pitch (e.g., pitch-height) have been observed early in infancy, but others may only occur late into childhood (e.g., pitch-size). In contrast, tactile-chroma associations have been observed in children, but not adults. One modality that has received little attention developmentally is olfaction. In the present investigation, we explored crossmodal associations from sound, tactile stimuli, and odor to a range of stimuli by testing a broad range of participants. Across the three modalities, we found little evidence for crossmodal associations in young children. This suggests an account based on innate structures is unlikely. Instead, the number and strength of associations increased over the lifespan. This suggests that experience plays a crucial role in crossmodal associations from sound, touch, and smell to other senses.

PMID:34900211 | PMC:PMC8652194 | DOI:10.1177/20416695211048513

Categories
Nevin Manimala Statistics

Application Analysis Based on Big Data Technology in Stroke Rehabilitation Nursing

J Healthc Eng. 2021 Dec 1;2021:3081549. doi: 10.1155/2021/3081549. eCollection 2021.

ABSTRACT

According to the statistical analysis, the incidence of stroke disease has gradually increased, particularly in recent years, which poses a huge threat to the safety of human life. Due to the advancement in science and technology specifically big data and sensors, a new research dome known as data mining technology has been introduced, which has the potential value from the perspective of large amount of data analysis. Information has become a new trend of science and technology, and data mining has been used in various application areas to analyze and predict strokes at home and abroad. In this study, big data technology is utilized to collect potential information and explores clinical pathways of level-3 rehabilitation in certain regions of China. Moreover, application effects of data mining in the rehabilitation of patients with the first ischemic stroke have been evaluated and reported. For this purpose, fifty (50) first-time ischemic stroke patients have been screened through big data and were nonartificially assigned to level-3 clinical pathway and conventional rehabilitation groups, respectively, specifically through software. The first group of patients enters the clinical path of the corresponding level according to the way of three-level referral. These patients were analyzed based on the collected results of completing the unified rehabilitation treatment plan of the three-level rehabilitation medical institution in the patient record form. The second group was selected according to the routine rehabilitation model and method of the medical institution where the patients visited were divided into four stages: before treatment, three weeks after treatment, nine weeks after treatment, and seventeen weeks after treatment. For this purpose, a simplified Fugl-Meyer analysis (FMA), recording of various functions of limb movement, and modified Barthel index (MBI) scale were used to analyze and evaluate the ability of daily activities and compare their effects. The final results showed that FMA and MBI scores of the two groups were improved in the three stages after treatment. The FMA and MBI scores of the clinical pathway group on 3rd and 9th weekends were significantly different from those of the conventional rehabilitation group (which is p < 0.05). Moreover, difference in FMA and MBI scores between the two at the 17th weekend was not significant. The total cost of the clinical pathway group, particularly at the ninth weekend, was higher than that of the conventional rehabilitation group, but the cost-benefit ratio was better and the incidence of complications was lower than that of the other group.

PMID:34900181 | PMC:PMC8654541 | DOI:10.1155/2021/3081549

Categories
Nevin Manimala Statistics

Fabrication of Calcium Sulfate Coated Selenium Nanoparticles and Corresponding In-Vitro Cytotoxicity Effects Against 4T1 Breast Cancer Cell Line

Avicenna J Med Biotechnol. 2021 Oct-Dec;13(4):201-206.

ABSTRACT

BACKGROUND: The inhibitory effect of selenium nanoparticles (SeNPs) on cancer cells has been reported in many studies. In this study, the purpose was to compare the in vitro effects of SeNPs and calcium sulfate coated selenium nanoparticles (CaSO4@SeNPs) on breast cancer cells.

METHODS: CaSO4@SeNPs and SeNPs were chemically synthesized and characterized with Field Emission Scanning Electron Microscope (FESEM) and energy-dispersive X-ray spectroscopy (EDX). By applying MTT assay, the cytotoxicity effect of both nanomaterials on the 4T1 cancer cells was investigated.

RESULTS: While LD50 of SeNPs on 4T1 cancer cells was 80 μg, the LD50 of CaSO4@SeNPs was reported to be only 15 μg. The difference between the inhibition rates obtained for SeNPs and CaSO4@SeNPs was statistically significant (p=0.05). In addition, at higher concentrations (50 μg) of CaSO4@SeNPs, the cytotoxicity was 100% more than SeNPs alone.

CONCLUSION: According to the result of the present work, it can be concluded that decoration of SeNPs with calcium sulfate leads to an increase in potency by decreasing the effective dose. This effect can be attributed to activation of intrinsic apoptosis signaling and/or pH regulatory properties of CaSO4@SeNPs. However, further studies are still needed to determine the exact corresponding mechanisms of this synergistic effect.

PMID:34900146 | PMC:PMC8606114

Categories
Nevin Manimala Statistics

Statistical mediation of the relationships between chronological age and lipoproteins by nonessential amino acids in healthy men

Comput Struct Biotechnol J. 2021 Nov 18;19:6169-6178. doi: 10.1016/j.csbj.2021.11.022. eCollection 2021.

ABSTRACT

Aging is a major risk factor for metabolic impairment that may lead to age-related diseases such as cardiovascular disease. Different mechanisms that may explain the interplay between aging and lipoproteins, and between aging and low-molecular-weight metabolites (LMWMs), in the metabolic dysregulation associated with age-related diseases have been described separately. Here, we statistically evaluated the possible mediation effects of LMWMs on the relationships between chronological age and lipoprotein concentrations in healthy men ranging from 19 to 75 years of age. Relative and absolute concentrations of LMWMs and lipoproteins, respectively, were assessed by nuclear magnetic resonance (NMR) spectroscopy. Multivariate linear regression and mediation analysis were conducted to explore the associations between age, lipoproteins and LMWMs. The statistical significance of the identified mediation effects was evaluated using the bootstrapping technique, and the identified mediation effects were validated on a publicly available dataset. Chronological age was statistically associated with five lipoprotein classes and subclasses. The mediation analysis showed that serine mediated 24.1% (95% CI: 22.9 – 24.7) of the effect of age on LDL-P, and glutamate mediated 17.9% (95% CI: 17.6 – 18.5) of the effect of age on large LDL-P. In the publicly available data, glutamate mediated the relationship between age and an NMR-derived surrogate of cholesterol. Our results suggest that the age-related increase in LDL particles may be mediated by a decrease in the nonessential amino acid glutamate. Future studies may contribute to a better understanding of the potential biological role of glutamate and LDL particles in aging mechanisms and age-related diseases.

PMID:34900130 | PMC:PMC8632714 | DOI:10.1016/j.csbj.2021.11.022

Categories
Nevin Manimala Statistics

Pandemic Strategies with Computational and Structural Biology against COVID-19: A Retrospective

Comput Struct Biotechnol J. 2021 Dec 5. doi: 10.1016/j.csbj.2021.11.040. Online ahead of print.

ABSTRACT

The emergence of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), which is the etiologic agent of the coronavirus disease 2019 (COVID-19) pandemic, has dominated all aspects of life for the better part of 2020 and into 2021. Research studies on the virus and exploration of therapeutic and preventive strategies has been moving at rapid rates to control the pandemic. In the field of computational and structural biology, recent research strategies have used multiple disciplines to compile large datasets to uncover statistical correlations and significance, visualize and model proteins, perform molecular dynamics simulations, and employ the help of artificial intelligence and machine learning to harness computational processing power to further the research on COVID-19, including drug screening, drug design, vaccine development, prognosis prediction, and outbreak prediction. These recent developments should help us better understand the viral disease and develop the much-needed therapies and strategies for the management of COVID-19.

PMID:34900126 | PMC:PMC8650801 | DOI:10.1016/j.csbj.2021.11.040

Categories
Nevin Manimala Statistics

Prevalence and correlates of depression among rural and urban Rwandan mothers and their daughters 26 years after the 1994 genocide against the Tutsi

Eur J Psychotraumatol. 2021 Dec 6;12(1):2005345. doi: 10.1080/20008198.2021.2005345. eCollection 2021.

ABSTRACT

BACKGROUND: In the past 26 years since the genocide against the Tutsi, mental illness continues to be the greatest challenges facing the Rwandan population. In the context of the 1994 genocide against Tutsi, there are three different survival status within Rwandan women. Those who were targeted by the genocide referred to as ‘survivors’, those who were in the country during the genocide but were not targeted referred to as ‘non-targeted’, and those who were outside the country referred to as ‘1959 returnees’. All these groups experienced the traumatic events differently. The literature shows that traumatic stress exposure is associated with depression.

OBJECTIVES: To demonstrate differences in trauma exposure in a sample of mothers and daughters according to their genocide survival status. To examine differences in depression prevalence between these three groups of mothers and daughters as a function of their genocide survival status and place of residence. To examine the relationship between major depression, survival status, place of residence, and trauma exposure in sample of mothers and daughters, including the relationship between mothers’ depression and daughters’ depression.

METHODS: A sample of 309 dyads of mothers and daughters was recruited. Data were collected using the Mini International Neuropsychiatric Interview, Life Events Questionnaire and the Social Demographics Questionnaire. Data were analysed using descriptive statistics, chi-square test, logistic regression, and one-way ANOVA.

RESULTS: There is a significant difference in trauma exposure in three survival categories of mothers and daughters. A 23% of mothers and 18.4% of daughters met criteria for major depression, with urban participants twice as likely to meet criteria as participants from rural areas. Depression was associated with trauma exposure and place of residence in mothers’ and daughters’ samples. Maternal depression was associated with depression in daughters.

CONCLUSIONS: Family support counselling services and research to identify factors of intergenerational depression are needed.

PMID:34900124 | PMC:PMC8654415 | DOI:10.1080/20008198.2021.2005345

Categories
Nevin Manimala Statistics

Network analysis of COVID-19-related PTSD symptoms in China: the similarities and differences between the general population and PTSD sub-population

Eur J Psychotraumatol. 2021 Dec 6;12(1):1997181. doi: 10.1080/20008198.2021.1997181. eCollection 2021.

ABSTRACT

BACKGROUND AND OBJECTIVES: Prevalent Post-traumatic Stress Disorder (PTSD) negatively affected individuals during the COVID-19 pandemic. Using network analyses, this study explored the construct of PTSD symptoms during the COVID-19 pandemic in China to identify similarities and differences in PTSD symptom network connectivity between the general Chinese population and individuals reporting PTSD.

METHODS: We conducted an online survey recruiting 2858 Chinese adults. PTSD symptoms were measured using the PCL-5 and PTSD was determined according to the DSM-5 criteria.

RESULTS: In the general population, self-destructive/reckless behaviours were on average the most strongly connected to other PTSD symptoms in the network. The five strongest positive connections were found between 1) avoidance of thoughts and avoidance of reminders, 2) concentration difficulties and sleep disturbance, 3) negative beliefs and negative trauma-related emotions, 4) irritability/anger and self-destructive/reckless behaviours, and 5) hypervigilance and exaggerated startle responses. Besides, negative connections were found between intrusive thoughts and trauma-related amnesia and between intrusive thoughts and self-destructive/reckless behaviours. Among individuals reporting PTSD, symptoms such as flashbacks and self-destructive/reckless behaviours were on average most strongly connected to other PTSD symptoms in the network. The five strongest positive connections were found between 1) concentration difficulty and sleep disturbance, 2) intrusive thoughts and emotional cue reactivity, 3) negative beliefs and negative trauma-related emotions, 4) irritability/anger and self-destructive/reckless behaviour, and 5) detachment and restricted affect. In addition, a negative connection was found between intrusive thoughts and self-destructive/reckless behaviours.

CONCLUSION: Our results indicate similarly positive connections between concentration difficulty and sleep disturbance, negative beliefs and negative trauma-related emotions, and irritability/anger and self-destructive/reckless behaviours in the general and PTSD-reported populations. We argue that self-destructive/reckless behaviours are a core symptom of COVID-19 related PTSD, worthy of more attention in future psychiatric programmers.

PMID:34900121 | PMC:PMC8654407 | DOI:10.1080/20008198.2021.1997181

Categories
Nevin Manimala Statistics

Comparative Clinical Evaluation of Two Techniques of Arthroscopic Treatment of Partial Articular Rotator Cuff Tears

Rev Bras Ortop (Sao Paulo). 2021 Dec 7;56(6):726-732. doi: 10.1055/s-0041-1729583. eCollection 2021 Dec.

ABSTRACT

Objectives To evaluate the clinical results of patients submitted to arthroscopic treatment of partial lesion of the articular part of the rotator cuff by transtendon suture techniques and after completing the lesion and to compare the postoperative recovery time of the two techniques. Method Retrospective study based on the identification of all cases with partial lesion of the articular part of the rotator cuff submitted to arthroscopic treatment from October 1999 to December 2016 at the Shoulder and Elbow Group of our institution. Thirty-nine patients were included and divided into two groups: those who underwent the transtendon technique and those in whom the lesion was completed. The two groups were statistically similar. The respective medical records were analyzed as well as the identification of the applied technique, the postoperative results, and the related complications. The functional evaluation was performed using the score of the University of California at Los Angeles (UCLA). Results There was no statistically relevant difference between the groups, with a mean UCLA score of 32, and no difference in the time required for rehabilitation. Conclusion There was no difference between the clinical outcome of the patients, regardless of the technique used to repair the partial lesions of the articular part of the rotator cuff, with satisfactory results in 93% of the cases.

PMID:34900100 | PMC:PMC8651439 | DOI:10.1055/s-0041-1729583

Categories
Nevin Manimala Statistics

Serum Galectin-3 as a Potential Predictive Biomarker Is Associated with Poststroke Cognitive Impairment

Oxid Med Cell Longev. 2021 Dec 2;2021:5827812. doi: 10.1155/2021/5827812. eCollection 2021.

ABSTRACT

OBJECTIVE: Galectin-3, an inflammatory mediator derived from microglia, participates in the pathophysiological process of various neurological diseases. However, the relationship between galectin-3 and poststroke cognitive impairment (PSCI) remains ambiguous. This research purposed to prove whether serum galectin-3 can predict PSCI.

METHODS: In the end, an aggregate of 416 patients with the first acute ischemic stroke (AIS) were continuously and prospectively enrolled in the study. Upon admission, the baseline data of AIS patients were collected, and their serum galectin-3 levels were measured. Three months after the stroke, the Montreal Cognitive Scale (MoCA) was utilized to measure the cognitive function of AIS patients, and PSCI was defined as a MoCA score less than 26 points.

RESULTS: Premised on the MoCA scores, patients were categorized into PSCI cohort and non-PSCI cohort. The two AIS patient cohorts did not exhibit any statistical difference in their baseline characteristics (p > 0.05). However, the serum galectin-3 level of AIS patients in the PSCI cohort was considerably elevated (p < 0.001). Pearson correlation analysis illustrated that serum galectin-3 level was negatively linked to MoCA score (r = -0.396, p < 0.05). The findings from the receiver-operating curve (ROC) illustrated that the sensitivity of serum galectin-3 as a possible biomarker for diagnosing PSCI was 66%, and the specificity was 94%. The cut-off value of serum galectin-3 to diagnose PSCI is 6.3 ng/mL (OR = 5.49, p < 0.001). Upon controlling for different variables, serum galectin-3 level remained to be an independent predictor of PSCI (p < 0.001).

CONCLUSIONS: Elevated serum galectin-3 levels are linked to a higher risk of PSCI. Serum galectin-3 could be a prospective biomarker for predicting PSCI.

PMID:34900086 | PMC:PMC8660241 | DOI:10.1155/2021/5827812