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Nevin Manimala Statistics

ENDOCRINE DISTURBANCES INDUCED BY LOW-DOSE ORGANOPHOSPHATE EXPOSURE IN MALE WISTAR RATS

Acta Endocrinol (Buchar). 2021 Apr-Jun;17(2):177-185. doi: 10.4183/aeb.2021.177.

ABSTRACT

BACKGROUND: Organophosphate exposure induces many endocrine effects.

AIM: In this study we observed the effects of acute stress induced by cholinesterase inhibition on the main hormonal axes.

MATERIALS AND METHODS: We included thirteen weanling Wistar rats that were subjected to organophosphate exposure. They were first tested for baseline levels of butyrylcholinesterase, cortisol, free triiodothyronine, thyroxine, thyroid-stimulating hormone and prolactin. Secondly, chlorpyrifos was administered. Next samples were taken to determine the level of all the above-mentioned parameters.

RESULTS: Butyrylcholinesterase was significantly decreased after exposure (p<0.001). Cortisol levels were significantly higher after clorpyrifos administration (358.75±43 vs. 241.2±35 nmoL/L)(p<0.01). Although prolactin had a growing trend (450.25±24.65 vs. 423±43.4 uI/mL), the results were not statistically significant. Both free triiodothyronine and thyroxine were significantly higher after exposure. Surprisingly, thyroid-stimulating hormone level almost doubled after exposure with high statistical significance (p<0.001), suggesting a central stimulation of thyroid axis. Butyrylcholinesterase level was proportional with thyroid-stimulating hormone level (p=0.02) and thyroxine level was inversely correlated to the cortisol level (p=0.01). Acute cholinesterase inhibition may induce high levels of cortisol, free triiodothyronine, thyroxine and thyroid-stimulating hormone. From our knowledge this is the first study dedicated to the assessment of acute changes of hormonal status in weanling animals after low-dose organophosphate exposure.Conclusion. Acute cholinesterase inhibition may cause acute phase hormonal disturbances specific to shocked patients.

PMID:34925565 | PMC:PMC8665251 | DOI:10.4183/aeb.2021.177

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Nevin Manimala Statistics

CD3+T, CD4+T, CD8+T, and CD4+T/CD8+T Ratio and Quantity of γδT Cells in Peripheral Blood of HIV-Infected/AIDS Patients and Its Clinical Significance

Comput Math Methods Med. 2021 Dec 8;2021:8746264. doi: 10.1155/2021/8746264. eCollection 2021.

ABSTRACT

OBJECTIVE: To investigate the quantity of CD4+T, CD4+T, CD8+T, and γδT cells in peripheral blood of HIV-infected/AIDS patients as well as to explore the possible role of CD4/CD8 ratio and γδT cells in the progression of HIV/AIDS, aimed at providing evidence for the diagnosis and treatment of AIDS.

METHODS: The quantity levels of CD3+T cells, CD4+T cells, CD8+T cells, and γδT cells in peripheral blood of 46 HIV-infected/AIDS patients and 30 healthy controls were detected by using flow cytometry.

RESULTS: The count of CD3+T, CD4+T, CD8+T, and γδT cells ( x¯±s , A/μl) in the peripheral blood was 1183.64 ± 132.58, 278.39 ± 122.38, 863.13 ± 82.38, and 22.53 ± 1.74 in the experimental group as well as 1456.46 ± 124.37, 788.74 ± 189.67, 569.61 ± 46.49, and 10.96 ± 0.28 in the control group, respectively. The p values of the two groups were <0.005 after the t-test, revealing a statistically significant difference. The proportion of CD3+T, CD4+T, CD8+T, and γδT cells in total lymphocytes in the two groups ( x¯±s , %) was 71.83 ± 5.37, 13.39 ± 2.23, 62.93 ± 5.81, and 3.67 ± 0.87 in the experimental group, respectively. In the control group, the values were expressed as 66.72 ± 5.48, 42.77 ± 3.38, 31.41 ± 3.62, and 1.73 ± 0.36, respectively. After performing the t-test, p values in the two groups were <0.005 except CD3+T, with statistically significant differences. Besides, CD4/CD8 was 0.33 ± 0.11 in the experimental group and 1.48 ± 0.29 in the control group, t = 26.528, p < 0.001, exhibiting a significant statistical difference.

CONCLUSION: HIV infection induces the activation and proliferation of CD8+T and γδT cells, contributing to the decrease of CD4+T cells, while CD8+T and γδT cells are involved in the immune response and tissue damage after HIV infection.

PMID:34925546 | PMC:PMC8674055 | DOI:10.1155/2021/8746264

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Nevin Manimala Statistics

Ultrasonography of the nuchal translucency of healthy and abnormal English Bulldog fetuses

Anim Reprod. 2021 Dec 10;18(4):e20210023. doi: 10.1590/1984-3143-AR2021-0023. eCollection 2021.

ABSTRACT

The aim of this study was to measure the nuchal translucency (NT) of canine fetuses to establish reference values ​​for healthy gestational processes and to verify its effectiveness in the diagnosis of congenital abnormalities. On day 34 of gestation, the NT of three fetuses from each of the 26 English bulldog female dogs was measured. The first fetus was the one located immediately cranial to the bladder, the second was selected from the left side of the abdomen, and the third from the right side. The reference values for healthy animals were offset using descriptive statistics. The diagnostic ability of the test to identify fetal malformations was studied using receiver operating characteristic curve analysis. Of the 26 litters, only 18 had healthy fetuses, 4 had fetuses with anasarca, 3 had fetuses with abdominal wall defects, and 1 had both types of abnormalities. The NT was higher in canine fetuses that presented anasarca in the litter than in normal litters (1.8 ± 0.77 mm vs. 1.4 ± 0.48 mm; P = 0.0249), with a cut-off value of NT > 1.45 mm (sensitivity = 61.54%, specificity = 70.18%). NT greater than 1.45 mm seems to be a diagnostic tool for the identification of anasarca during gestation of bulldogs. Considering the unprecedented use of this parameter in canine species and the limitations found during the study, further studies will be needed in order to use it on clinical practice.

PMID:34925557 | PMC:PMC8677348 | DOI:10.1590/1984-3143-AR2021-0023

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Nevin Manimala Statistics

Comparison of Five Methods to Estimate the Parameters for the Three-Parameter Lindley Distribution with Application to Life Data

Comput Math Methods Med. 2021 Dec 8;2021:2689000. doi: 10.1155/2021/2689000. eCollection 2021.

ABSTRACT

We have studied one of the most common distributions, namely, Lindley distribution, which is an important continuous mixed distribution with great ability to represent different systems. We studied this distribution with three parameters because of its high flexibility in modelling life data. The parameters were estimated by five different methods, namely, maximum likelihood estimation, ordinary least squares, weighted least squares, maximum product of spacing, and Cramér-von Mises. Simulation experiments were performed with different sample sizes and different parameter values. The different methods were compared on the generated data by mean square error and mean absolute error. In addition, we compared the methods for real data, which represent COVID-19 data in Iraq/Anbar Province.

PMID:34925538 | PMC:PMC8674038 | DOI:10.1155/2021/2689000

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Nevin Manimala Statistics

Comparison of Chest-to-Back Skin-to-Skin Contact and Chest-to-Chest Skin-to-Skin Contact on the Risk of Oxygen Desaturation and Change in Heart Rate in Low Birth Weight and/or Premature Babies: A Randomized Controlled Clinical Trial

Int J Pediatr. 2021 Dec 8;2021:7196749. doi: 10.1155/2021/7196749. eCollection 2021.

ABSTRACT

Chest-to-chest (CC) skin-to-skin contact (SSC) is a widely used method of SSC to prevent low birth weight (LBW) and/or premature babies with the risk of hypothermia. However, very recently, a study has also shown that the chest-to-back (CB) SSC is also useful for such a purpose. It is also evident that CC SSC enhances the cardiorespiratory performance of LBW and/or premature babies from the risk of cold stress. However, whether babies kept in CB SSC have the risk of clinically relevant decreases of oxygen saturation or critical changes of the baby heart rate comparing the two SSC methods has been studied hardly. Thus, we assessed the risk of oxygen desaturation and changes in babies’ heart rate among LBW and/or premature babies kept in CB SSC compared to the standard. In this study, we enrolled 46 LBW and/or premature babies born between 32 and 37 completed weeks of gestation. We used a parallel-group randomized controlled clinical trial. Peripheral arterial blood oxygen saturation (SpO2) and heart rate (HR) were measured using an OxiMaxN-600X Pulse Oximeter. We transformed these measurements into stability of the cardiorespiratory system in premature infant (SCRIP) scores. We applied a generalized estimating equation model to analyze the data. No statistically significant difference was observed between babies kept in CB SSC compared to babies kept in CC SSC in either blood oxygen saturation or heart rate (P > 0.05). Thus, the CB SSC can be used as one possible way to care for LBW and preterm babies in the kangaroo mother care. We suggest more studies before scaling up the approach in routine care.

PMID:34925513 | PMC:PMC8674035 | DOI:10.1155/2021/7196749

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Nevin Manimala Statistics

Flowcharts improve periodontal diagnosis by dental and dental hygiene students

Can J Dent Hyg. 2021 Oct 1;55(3):137-147. eCollection 2021 Oct.

ABSTRACT

BACKGROUND: In 2017, the American Academy of Periodontology and the European Federation of Periodontology updated the classification of periodontal and peri-implant diseases and conditions. The goal of the present crossover study was to develop straightforward, illustrative flowcharts and determine their impact on the accuracy and speed of diagnosing periodontal conditions by predoctoral dental students (DS) and dental hygiene students (DHS).

METHODS: Two flowcharts (a decision-tree flowchart and one based on the periodontal disease/condition entity) were developed using updated diagnostic determinants proposed by the 2017 classification. A total of 26 second-, third-, and fourth-year DS (DS2, DS3, and DS4, respectively) and second-year DHS (DHS2) took a mock examination consisting of 10 periodontal clinical cases. The participants first diagnosed periodontal conditions using only their curricula-based knowledge (control) and then using the flowcharts (test). They also completed an optional post-examination questionnaire to provide feedback on the flowcharts. Statistical significance was detected at p ≤ 0.05.

RESULTS: Combined test groups had significantly higher accuracy in diagnosing periodontal conditions compared to controls (73.5% vs 50.0%, respectively), with the most substantial improvement in DS2 (66.3% vs 30%, respectively) and DHS2 (70.0% vs 41.4%, respectively). Combined test groups also completed the examination more quickly compared to controls (14.92 vs 20.85 minutes, respectively). The participants provided positive feedback and constructive criticism on the flowcharts, and also suggested converting them into application software.

CONCLUSION: The flowcharts significantly improved the accuracy of diagnosing periodontal conditions in academic settings, especially among junior, less experienced participants.

PMID:34925514 | PMC:PMC8641549

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Nevin Manimala Statistics

Developing Machine Learning and Statistical Tools to Evaluate the Accessibility of Public Health Advice on Infectious Diseases among Vulnerable People

Comput Intell Neurosci. 2021 Dec 17;2021:1916690. doi: 10.1155/2021/1916690. eCollection 2021.

ABSTRACT

BACKGROUND: From Ebola, Zika, to the latest COVID-19 pandemic, outbreaks of highly infectious diseases continue to reveal severe consequences of social and health inequalities. People from low socioeconomic and educational backgrounds as well as low health literacy tend to be affected by the uncertainty, complexity, volatility, and progressiveness of public health crises and emergencies. A key lesson that governments have taken from the ongoing coronavirus pandemic is the importance of developing and disseminating highly accessible, actionable, inclusive, coherent public health advice, which represent a critical tool to help people with diverse cultural, educational backgrounds and varying abilities to effectively implement health policies at the grassroots level.

OBJECTIVE: We aimed to translate the best practices of accessible, inclusive public health advice (purposefully designed for people with low socioeconomic and educational background, health literacy levels, limited English proficiency, and cognitive/functional impairments) on COVID-19 from health authorities in English-speaking multicultural countries (USA, Australia, and UK) to adaptive tools for the evaluation of the accessibility of public health advice in other languages.

METHODS: We developed an optimised Bayesian classifier to produce probabilistic prediction of the accessibility of official health advice among vulnerable people including migrants and foreigners living in China. We developed an adaptive statistical formula for the rapid evaluation of the accessibility of health advice among vulnerable people in China.

RESULTS: Our study provides needed research tools to fill in a persistent gap in Chinese public health research on accessible, inclusive communication of infectious diseases’ prevention and management. For the probabilistic prediction, using the optimised Bayesian machine learning classifier (GNB), the largest positive likelihood ratio (LR+) 16.685 (95% confidence interval: 4.35, 64.04) was identified when the probability threshold was set at 0.2 (sensitivity: 0.98; specificity: 0.94).

CONCLUSION: Effective communication of health risks through accessible, inclusive, actionable public advice represents a powerful tool to reduce health inequalities amidst health crises and emergencies. Our study translated the best-practice public health advice developed during the pandemic into intuitive machine learning classifiers for health authorities to develop evidence-based guidelines of accessible health advice. In addition, we developed adaptive statistical tools for frontline health professionals to assess accessibility of public health advice for people from non-English speaking backgrounds.

PMID:34925484 | PMC:PMC8683224 | DOI:10.1155/2021/1916690

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Nevin Manimala Statistics

Genome-Wide Association and Mendelian Randomization Analysis Reveal the Causal Relationship Between White Blood Cell Subtypes and Asthma in Africans

Front Genet. 2021 Dec 2;12:749415. doi: 10.3389/fgene.2021.749415. eCollection 2021.

ABSTRACT

Background: White blood cell (WBC) traits and their subtypes such as basophil count (Bas), eosinophil count (Eos), lymphocyte count (Lym), monocyte count (Mon), and neutrophil counts (Neu) are known to be associated with diseases such as stroke, peripheral arterial disease, and coronary heart disease. Methods: We meta-analyze summary statistics from genome-wide association studies in 17,802 participants from the African Partnership for Chronic Disease Research (APCDR) and African ancestry individuals from the Blood Cell Consortium (BCX2) using GWAMA. We further carried out a Bayesian fine mapping to identify causal variants driving the association with WBC subtypes. To access the causal relationship between WBC subtypes and asthma, we conducted a two-sample Mendelian randomization (MR) analysis using summary statistics of the Consortium on Asthma among African Ancestry Populations (CAAPA: n cases = 7,009, n control = 7,645) as our outcome phenotype. Results: Our metanalysis identified 269 loci at a genome-wide significant value of (p = 5 × 10-9) in a composite of the WBC subtypes while the Bayesian fine-mapping analysis identified genetic variants that are more causal than the sentinel single-nucleotide polymorphism (SNP). We found for the first time five novel genes (LOC126987/MTCO3P14, LINC01525, GAPDHP32/HSD3BP3, FLG-AS1/HMGN3P1, and TRK-CTT13-1/MGST3) not previously reported to be associated with any WBC subtype. Our MR analysis showed that Mon (IVW estimate = 0.38, CI: 0.221, 0.539, p < 0.001), Neu (IVW estimate = 0.189, CI: 0.133, 0.245, p < 0.001), and WBCc (IVW estimate = 0.185, CI: 0.108, 0.262, p < 0.001) are associated with increased risk of asthma. However, there was no evidence of causal relationship between Lym and asthma risk. Conclusion: This study provides insight into the relationship between some WBC subtypes and asthma and potential route in the treatment of asthma and may further inform a new therapeutic approach.

PMID:34925446 | PMC:PMC8674726 | DOI:10.3389/fgene.2021.749415

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Nevin Manimala Statistics

Pseudo-188D: Phage Protein Prediction Based on a Model of Pseudo-188D

Front Genet. 2021 Dec 1;12:796327. doi: 10.3389/fgene.2021.796327. eCollection 2021.

ABSTRACT

Phages have seriously affected the biochemical systems of the world, and not only are phages related to our health, but medical treatments for many cancers and skin infections are related to phages; therefore, this paper sought to identify phage proteins. In this paper, a Pseudo-188D model was established. The digital features of the phage were extracted by PseudoKNC, an appropriate vector was selected by the AdaBoost tool, and features were extracted by 188D. Then, the extracted digital features were combined together, and finally, the viral proteins of the phage were predicted by a stochastic gradient descent algorithm. Our model effect reached 93.4853%. To verify the stability of our model, we randomly selected 80% of the downloaded data to train the model and used the remaining 20% of the data to verify the robustness of our model.

PMID:34925468 | PMC:PMC8672092 | DOI:10.3389/fgene.2021.796327

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Nevin Manimala Statistics

Perspectives on Genetic Research: Results From a Survey of Navajo Community Members

Front Genet. 2021 Dec 2;12:734529. doi: 10.3389/fgene.2021.734529. eCollection 2021.

ABSTRACT

The Navajo Nation placed a moratorium on genetic research studies in 2002, in part due to concerns about historical distrust, exploitation, limited expertise and resources, and the lack of a genetics policy. Navajo tribal leaders, scientists, and policy experts are exploring the possibility of lifting the moratorium, developing a genetic research policy, and discussing its potential health implications. This study aimed to identify the key concerns, needs, and desires of Navajo people regarding genetic research. We conducted a survey of Navajo individuals to assess knowledge of the moratorium and research, gauge interest in genetic research, and quantify appropriate genetic research topics to understand broad views and concerns. We performed descriptive statistics and tested associations between relevant categorical variables using Chi-square tests. We hypothesized that individuals with more knowledge about the moratorium and health research increased the likelihood of supporting and participating in genetic research. A total of 690 surveys from Navajo respondents were analyzed. Of these, 63% of respondents reported being unaware of the Navajo Nation’s moratorium on genetic research. There were positive associations between those who knew about the moratorium and willingness to donate biospecimens for research under certain conditions, such as community involvement, review and approval by community leaders, research on diseases affecting the community, and support for lifting the moratorium (p-values < 0.001). We found no significant differences between age, gender, religious/spiritual beliefs, or agency affiliation with knowledge levels of genetics and related topics, participation in relation to beliefs, and donation of biospecimens. Interestingly, respondents who resided off the Navajo Nation were positively associated with having knowledge of the moratorium, having heard of discussions of genetics on the Navajo Nation, and the lawsuit filed by the Havasupai Tribe. Most respondents agreed that it was very important to develop a policy that incorporates cultural knowledge (56%), is beneficial (56%), and has data sharing protections (59%) before allowing genetic research on the Navajo Nation. Overall, a large proportion of respondents (46%) were unsure about lifting the moratorium and instead wanted more genetics education to assess its potential implications. The study results can inform the direction of future guidelines and policies.

PMID:34925442 | PMC:PMC8675633 | DOI:10.3389/fgene.2021.734529