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Feb 2026 DOI 10.14302/issn.2474-9273.jbtm-25-5885
Background Depression, increasingly recognized as a critical factor impacting mental health, notably affects various populations, including teachers. This study aimed to delineate the specific characteristics of depressive symptom networks among Chinese teachers, identify the core symptoms of depression within this demographic, and examine the variations in depressive symptom networks across different genders and teaching stages. Method The study encompassed 1,670 teachers. Depressive symptoms were assessed using the Self-Rating Depression Scale (SDS). Central symptoms were identified through centrality indices. Network stability was examined via a case-dropping procedure. Directed Acyclic Graphs (DAG) was used to identify the activating symptoms. Results “Personal devaluation” exhibited the highest and most stable centrality values in the network. “Depressed Affect” and “Emptiness of Life” were identified as the activating symptoms in the network. No significant differences were observed in the network structure and global strength of depression between teachers of different genders. However, significant differences in the network’s global strength were found between junior and senior high school teachers. Conclusion “Personal devaluation” emerged as the core depressive symptoms among teachers in China. “Depressed Affect” and “Emptiness of Life” serve as the gateways that activate the entire teacher depression network. Paying close attention to these symptoms could potentially alleviate the experiences of depression in this demographic.
Dec 2025
The incidence rate of melasma is notably high among patients with anxiety disorders. Aromatherapy primarily influences the physiological and psychological states of individuals through the inhalation or application of essential oils, thereby facilitating the treatment or alleviation of various conditions. This study aims to explore the action mechanism of complex lemon-angelica sinensis -boswellia essential oil (CEO) in treating anxiety disorders with melasma. We investigated the active ingredients, targets, and pathways of CEO in relation to anxiety and melasma using network pharmacology. We employed cell assays and conducted nebulized essential oil inhalation tests on CUMS mice to validate the intervention effects of CEO on anxiety. A total of 28 active components, including neryl acetate, 3-butenylphthalide and octyl acetate, and 26 cross-targets, such as ESR1, CCND1 and PIK3CA, were identified. GO and KEGG pathway analyses indicated that these cross-targets were primarily involved in endocrine regulation, cell proliferation, and apoptosis, specifically through PI3K/Akt signaling pathway and calcium signaling pathway. The experimental results demonstrated that CEO significantly reduced the secretion of NO, TNF-a and IL-6, as well as the mRNA expressions of ESR1, CCND1 and PIK3CA in cells compared to the inflammatory cell model. Furthermore, CEO notably decreased the forced swimming immobility time of mice and the levels of IL-1β, ESR1 and CCND1 in hippocampus when compared to model mice. These findings suggest that CEO may regulate ESR1, CCND1 and PIK3CA through its citral, 3-butylphthalate and neryl acetate, thereby influencing endocrine function, cell proliferation and apoptosis, inhibiting inflammation and anxiety-like behavior in CUMS-induced mice.
Nov 2024 DOI 10.14302/issn.2690-4829.jen-24-5291
The perpendicular orientation of the proximal alpha helix to the heme plane in chloroperoxidase (CPO) maximizes the influence of its intrinsic helix dipole that has been shown to reduce the “push-effect”, thereby increasing the heme redox potential and fine-tuning the catalytic capabilities of CPO. We investigated the effects of a disruption of the hydrogen bonding network between R26-N37 and A27-N33, formed by the proximal alpha helix, on the CPO structural stability and catalytic profile using site-directed mutagenesis and spectroscopy. The mutant CPO (R26A, N33A, and R26A/N33A) exhibited significant tertiary structural changes and distinct heme coordination, likely, due to destabilization of the proximal helix as a result of the disruption of the proximal hydrogen bonding network. In line with these observations, biochemical characterizations showed that all mutants displayed dramatically different activity profiles relative to that of the WT CPO. Mutant epoxidation and peroxidation activities were markedly enhanced, especially in the R26A/N33A CPO mutant. Moreover, all mutant CPO enzymes exhibited broader pH profiles in both epoxidation and peroxidation activities, including a shift in the optimal peroxidation activity towards pH 3.5 as opposed to pH 2.75. Conversely, the dismutation activity (pH 3.0-5.5) was almost completely lost while chlorination activity (pH 2.75-5.0) was virtually non-existent in all CPO mutants. Our results demonstrate the important role the R26-N37 and A27-N33 hydrogen bond pairs play in the heme coordination and tertiary structure of CPO defining its catalytic capabilities, and also suggest the importance of the proximal helix stability and orientation.
Sep 2024 DOI 10.14302/issn.2692-1537.ijcv-24-5218
Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection often causes coagulation disorders that affect highly vascularized organs, such as the lungs and kidneys. Objective The objective of this study was to report the histopathological findings of variations in the fibrin pattern of pulmonary and renal microthrombi in patients who died from SARS-CoV-2 infection. Methods Minimally invasive autopsies were performed on 40 patients to collect lung (n=40) and kidney (n=16) tissue samples. Histochemical and immunohistochemical staining techniques were used for histopathological analyses. Premortem laboratory data were obtained from the patients' electronic medical records. Results The lung tissue showed a patchy pattern, characterized by areas of both minimal and severe damage. The most significant histopathological finding was the detection of thrombi with fibrin structures organized into discrete star-shaped units, which were more frequently observed in areas with severe lung injury than in those with minimal lung injury (p = 0.012). Star-shaped fibrin structures were also observed in the renal glomerular capillaries. Immunohistochemical staining revealed the presence of platelets and the procoagulant proteins von Willebrand factor (VWF) and Factor VIII within the star-shaped fibrin thrombi. Patients with star-shaped fibrin thrombi had higher levels of the systemic inflammatory indicators C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR). Conclusion Our observations suggest that the inflammatory microenvironment resulting from SARS-CoV-2 infection may contribute to the formation of star-shaped fibrin units in the pulmonary and renal microthrombi.
May 2024 DOI 10.14302/issn.2470-5020.jnrt-24-5100
Exploring the dynamic dimension of functional connectivity in dementia, this article departs from traditional static studies to capture the ever-changing brain networks. Investigating temporal connectivity patterns yields valuable insights into disease progression, individualized treatment, and early intervention. Additionally, the concept of cognitive reserve, therapeutic interventions, and machine learning integration are pivotal in revolutionizing dementia research and care.
May 2024 DOI 10.14302/issn.2470-0436.jos-23-4493
Background Beta-Sitosterol (SIT) is an active TCM compound employed to treat diabetic retinopathy (DR). A network pharmacology approach to understanding the active ingredients and the therapeutic mechanisms underlying DR has not been pursued. Methods The potential targets for DM were identified according to the MedGene, Gendome, HGNC, OMIM, GeneCards, PheGenI, GEO, and STRING database. The herb and components were predicted and screened by network pharmacology through oral bioavailability and drug-likeness filtration using the Traditional Chinese Medicine Systems Pharmacology Analysis Platform database. A network pharmacology prediction and network analysis were used to predict the active potential targets and pathways of SIT application to DR. Results We found the Top 15 DR-related genes by screening in 9 databases. 26 kinds of TCM and nearly 300 kinds of active ingredients. SIT exists in 10 kinds of DR-treat TCM. The comprehensive network pharmacology approach was successful in identifying 23 kinds of core genes for SIT treating DR. ERBB3 and IGF2-related PI3K-Akt signaling pathway or EDN3, IGF2 and SPP1-related receptor ligand activity pathway might be the main pharmacological targets, and pathways in DR. We speculated that SIT was effective for the treatment of DR. Conclusion Based on the network pharmacology, we predicted the potential targets of SIT in treating DR and helped to illustrate the mechanism of action. Our study identifies key genes and pathways associated with the prognosis and pathogenesis of DR from new insights.
Oct 2020 DOI 10.14302/issn.2329-9487.jhc-20-3584
Objective To examine the current linkage between different medical services for hypertension patients for enhanced integration among medical service systems. Methods A total of 18 hospitals and community medical centers from a district of Shanghai were enrolled for social network analysis which covered emergency visits and hospitalization records of 171,177 outpatients with hypertension. Stata software was used for data preprocessing and UCINET software was used for network analysis of medical service providers to quantify and visualize the network tightness and the "main role" of information delivery of the medical institution network in the area. Results The service network of hypertension consultation institutions in the region is closely connected as a whole, but the level of diagnosis and treatment of medical services in various communities varies widely, and the degree of association with higher-level medical institutions is not uniform. Conclusion Based on the limited tightness of various medical service providers, it is necessary to implement the responsibilities of individual medical institutions at different levels and pay more attention to improving the service capabilities of primary medical institutions for enhanced integrating medical services in future.
Jul 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3449
Electrical resistivity method is often used to estimate the subsurface structure of the earth. Many inversion algorithms are available to estimate the subsurface features. However, predicting the exact parameter in the non-linear subsurface of the earth is difficult because of its complex composition. Soft computing tools can approximate the subsurface parameters more clearly. Each soft computing tool has certain advantages and disadvantages. A hybrid formation of algorithms will make the decision more appropriate than depending on a single tool. Here in our study the data obtained through Vertical Electrical Sounding has been used to determine the sub surface characteristics of earth viz., true resistivity and thickness. Artificial Neural Networks (ANN) requires certain optimizing procedures. Here in this paper, Genetic Algorithm (GA) is applied to optimize Artificial Neural Networks (ANN). This coupled approach is tested with the field data. Error percentage of algorithm nearly mimics the behavior of earth and is verified. The best performance result shows that this technique can be implemented to estimate the non-linear characteristics of the earth more noticeably.
Jun 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3402
This research paper focuses on rainfall variations in Tamil Nadu, India using Wavelet, Linear regression and Artificial Neural Networks model from 2004 to 2017. As the rainfall is the key factor in understanding climate change, the seasonal datasets from 2004-2017 of Tamil Nadu state has been taken for study. The salient feature of this study is the application of Neural Networks and wavelet analysis. It reveals that the rainfall variations are ambiguous that it does not maintain a constant pattern. Wavelet coefficients of multiresolution spectrogram reveals that the intensity of rainfall in each year. Linear regression model divulge the pattern of rainfall followed in every season and the results show that except winter season all other season suffers deficient rainfall. The deficiency of rainfall may be due to different parameters like ElNino or LaNina pattern or global warming. Results showed that all seasons except winter does not maintain consistency in the rainfall variability. Winter season provides the positive slope values of 4.7 and 0.6 for January and February respectively. Moreover Artificial Neural Networks training provides prominent results of Regression value 0.98 which is comparably high with other seasons taken for study.
Jun 2020 DOI 10.14302/issn.2692-5915.jafs-20-3366
This paper attempts to answer the question of how government agencies use The Onion Router, or Tor, in conducting investigations. The essay observes that Tor is free open-source software that can be used by anyone who desires to communicate with others in a secure manner. In surveying the literature, it is found that Tor can be employed for both legal and illegal purposes. As the major financial contributor, Tor is used by government to secure its communications. Because Tor by bad actors, and because many of the Tor relays are operated by government agencies, Tor has been successfully employed in catching unsuspecting criminals. The conclusion of this exposition is that if one wants to communicate securely with someone else, and not be visible to government agencies, Tor should not be the vehicle of choice. There are alternative modes of communication that can thwart the risk of government surveillance.
Mar 2019 DOI 10.14302/issn.2691-3208.ijli-19-2647
In this study, basic cultivation experiments were performed on microalgae Desmodesmus sp, then, the experiment results were deductively expanded, and the use of paddy in the off-season for farmers is advocated. As a result of the continuous culture experiments using 100 mL test tubes, 101.3 mg dry biomass was harvested in the aeration culture using the BG-11 medium. In the aeration culture with mixing CO2, the maximum harvest was obtained under the 10%-CO2 concentration. Considering about CO2 concentration, the condition of 1%-CO2 was superior in CO2 use efficiency. Based on the changes in the pH of the medium, algae such as Desmodesmus sp exchanges ions between the inside of the cell and the surrounding environment, and changes the surrounding environment in order to adapt themselves. In the proforma calculation of second crops in paddy fields, 26.4 million tons dry biomass is harvested in 120 days long of culture a year. Considering that the harvested dry biomass amount, 187 × 106 GJ power energy is obtained by burning them. This amount of energy corresponds to about 5.2% of total electricity.
Oct 2018 DOI 10.14302/issn.2326-0793.jpgr-18-2312
All aspects of life activities in living cells are mediated/executed and regulated by a vast number of networks, comprising a wide spectrum of components, starting with simple biomolecules and ending with the whole organism, and functioning within a precisely organized tight framework. Proper mediation of cellular activities necessitates their inclusion within the context of structured and organized network systems capable of regulating/coordinating and synchronizing the countless numbers of biological processes occurring within living cells. The number of biological networks and pathways within the living cell is considerably huge, being dependent on the structural complexity and functional capabilities of the cell. Pathogenesis and progression of human diseases result from functional disturbances of biological networks within the cell as disturbed network function leads to deleterious effects on physiological processes dependent on, and mediated by, affected network(s). Ensuing pathological processes, defined by the nature of disturbed networks and the specific organs or tissues affected, pave the way for the development of pathognomonic and characteristic disease entities. As most network functions are dependent on relatively small number of key regulatory biomolecules, i.e. enzymes/proteins and signal transducing factors, it follows that functional disturbances of biological networks and pathogenesis of disease states can be attributed, in most instances, to quantitative and/or qualitative abnormalities of these key regulatory molecules. Study and analysis of the structural designs and the functional mechanisms of biological networks would have crucial and important impacts on many theoretical and applied aspects of biology, in general, and of medical sciences in particular. Meticulous study of biological networks represents an important and integral aspect in study of biology. Interpretation and analysis of key information deduced from observing and analyzing structural designs and functional characteristics and dynamics of biological networks discloses and defines the basic framework within which life activities in living cells are initiated, adapted to physiological requirements, maintained, and terminated upon completion of their aims. More important, however, is the contribution of this information to proper understanding of the different mechanisms responsible for regulating and synchronizing the functions and performances of the vast spectrum of different network categories within the cell. In addition to its vital scientific significance, discovering and defining the key pivotal structural and regulatory molecules within life-mediating networks, and along different pathways responsible for controlling functional dynamics of the network, represent an indispensable diagnostic approach insistent for designing proper therapeutic approaches to diseases caused by network defects.
Apr 2026 DOI 10.14302/issn.2574-450X.jom-26-6138
Indices, based on data such as height and weight in general and in particularly the body mass index (BMI), are often used to assess overweight. However, there is limited capacity to differentiate the amount of fat mass between individuals. This review refers to an anthropometric model called Dahlmann-Body-Analysis (DBA), which uses simple anthropometric parameters to define a Reference Weight (Ref-Wt). It is based on hand circumference as a proxy for the skeletal frame and, in addition, the circumference of the abdomen as a proxy for central obesity. Processed through a network of algorithms, the DBA model enabled to differentiate the Difference Weight – that means the difference between the Actual Weight and the Reference Weight – into fat mass and skeletal muscle mass. The DBA-model resembles the 2-component model of Albert R. Behnke, which he considered as a living functional construct including essential fat. The DBA-model matches with Behnke`s 2-component model insofar, as the essential fat is replaced by a physiological amount of fat tissue. The review summarizes studies to compare DBA-derived data with Metropolitan Life Insurance tables, evaluates DBA-derived fat tissue mass with bioelectrical impedance analysis (BIA) derived results and analyses the meaning of the DBA model in clinical settings to uncover the underlying mechanisms of metabolic syndrome (MetS) pathogenesis with increasing amounts of fat mass. The model offers the opportunity to calculate changes in fat or muscle tissue in an absolute (kg) or relative (%) amount on individuals. The data suggest that the DBA-model has satisfactory prediction qualities for use as a practical tool in public health care.
Dec 2025
The body interacts with endogenous and exogenous molecules through various receptor networks at the cellular and organismal levels by which the different physiological processes of the organ systems get activated. Life could no longer exist without the body’s interaction with these signaling molecules. The number of molecules interacted with a receptor type within the body determines the efficiency of biological processes that would determine the biochemistry and anatomy behind the basic body functions. The dose plays a complex role in multiple physiological processes by modulating the natural processes of the different biological systems. It is always connected to the physiological and anatomical aspects of the biological sciences in which it manifests the biological sensitivity that would determine the efficiency of biological responses of the body systems. There are always physiologic and non-physiologic doses for every compound administered into the biological systems. The does that facilitated the body to manifest that biological sensitivity which has maintained the physiological processes of the body systems was noted as physiologic dose, whereas the dose that has suppressed the biological sensitivity of the body that became inefficient in maintaining the physiological processes of the different biological systems was termed non-physiologic dose. It is important to adjust the dose or dosage based on physical and biological factors such as the efficiency of the different organ systems, body weight, and the timing of the dose triggering a biological response to maintain the natural processes of the body systems. This means that integrated biological data is required in order to be able to identify the physiologic and non physiologic doses for biological or pharmacological use.
Mar 2025 DOI 10.14302/issn.2638-4469.japb-25-5395
Plant leaf diseases pose significant threats to crop yield and agricultural sustainability, making early and accurate detection crucial for effective disease management. In current years, deep neural network (DNN) techniques have shown remarkable potential in the field of image classification, including plant disease detection. The study aims to investigate the performance of two popular deep learning architectures, namely, VGG16 and InceptionResNetV2, for the detection of tomato plant leaf disease. The proposed methodology involves acquiring a diverse dataset comprising high-resolution images of healthy and diseased leaves from the target crops. Preprocessing techniques such as image augmentation and normalization are applied to enhance the generalization ability of the models and mitigate overfitting. Transfer learning is employed to initialize the deep learning architectures with weights pre-trained on large-scale image datasets to accelerate convergence and improve the models' performance in limited data scenarios. To evaluate performance of proposed networks various metrics such as validation and test accuracies, precision and recall, F1 score, and the area under the curve (AUC) are considered. From the investigations, the classification accuracy of the finest architectures is as follows: 99.8 percent for VGG16 and 99.4 percent for InceptionResNetV2 on Corn Leaves. The results suggest that the models developed during the investigation phase to identify the leaf disease were superior to any existing Deep Neural Networks (DNNs).
Sep 2024 DOI 10.14302/issn.2577-137X.ji-24-5207
COVID-19 vaccine hesitancy has emerged as a major challenge to global efforts to control the pandemic, particularly in Nigeria, where hesitancy to other effective vaccines such as polio and measles has been widely reported. Several individual, societal, and structural factors contribute to this behaviour and prevent the effectiveness of COVID-19 prevention efforts. Objectives This study sought to identify the predictors of COVID-19 vaccine hesitancy in the seven states of North-Central, Nigeria. Methods A population-based cross-sectional online survey was conducted among residents using a semi-structured questionnaire adapted from the WHO SAGE vaccine hesitancy scale and distributed via social media networks over 8-weeks. Results A total of 1,429 responses met the inclusion criteria and were analysed. Among the respondents, 60.7% were males, 47.5% were between the ages of 26 and 45, and 80.1% had postsecondary education. A total of 421 respondents (29.5%) were hesitant and unwilling to receive the vaccine. The reasons for hesitancy were concerns about side effects (37.1%), doubt about the existence of COVID-19 (11.0%), and the perception of time required to receive the vaccine (9.6%). Post-secondary education (AOR: 0.49, 0.36-0.66) and people of the Islamic faith (AOR: 0.68, 0.52-0.90) were found to be associated with lower levels of hesitancy. Conclusion The study found that vaccine hesitancy is a complex problem that is linked with multiple social determinants of health as lower educational attainment, lower income and Christian faith were found to be predictors of vaccine hesitancy. Confidence, Complacency and Convenience factors were expressed by respondents as concerns about side effects, doubt about the existence of COVID-19 and time required to receive the vaccines were the most prominent reasons for unwillingness to receive the vaccine. In order to protect the public health of communities, targeted interventions are required to increase vaccine acceptance by cultivating trust in vaccines, disseminating accurate information, and engaging with community stakeholders including religious groups.
May 2024 DOI 10.14302/issn.2998-1506.jpa-24-5058
Wheat is a staple grain crop in the United States and around the world. Weed infestation, particularly grass weeds, poses significant challenges to wheat production, competing for resources and reducing grain yield and quality. Effective weed management practices, including early identification and targeted herbicide application are essential to avoid economic losses. Recent advancements in unmanned aerial vehicles (UAVs) and artificial intelligence (AI), offer promising solutions for early weed detection and management, improving efficiency and reducing negative environment impact. The integration of robotics and information technology has enabled the development of automated weed detection systems, reducing the reliance on manual scouting and intervention. Various sensors in conjunction with proximal and remote sensing techniques have the capability to capture detailed information about crop and weed characteristics. Additionally, multi-spectral and hyperspectral sensors have proven highly effective in weed vs crop detection, enabling early intervention and precise weed management. The data from various sensors consecutively processed with the help of machine learning and deep learning models (DL), notably Convolutional Neural Networks (CNNs) method have shown superior performance in handling large datasets, extracting intricate features, and achieving high accuracy in weed classification at various growth stages in numerous crops. However, the application of deep learning models in grass weed detection for wheat crops remains underexplored, presenting an opportunity for further research and innovation. In this review we underscore the potential of automated grass weed detection systems in enhancing weed management practices in wheat cropping systems. Future research should focus on refining existing techniques, comparing ML and DL models for accuracy and efficiency, and integrating UAV-based mapping with AI algorithms for proactive weed control strategies. By harnessing the power of AI and machine learning, automated weed detection holds the key to sustainable and efficient weed management in wheat cropping systems.
Nov 2023 DOI 10.14302/issn.2998-4122.jlr-23-4739
On social networks often circulate emotional letters from various authors that appear after their death. The supposed letter Albert Einstein wrote to his daughter Lieserl and the letter Simon Bolivar wrote to his cousin Fanny are two examples. A Python-developed tool is used to do a stylometric study to determine whether these authors were. The language styles of Einstein and Bolivar were described using eight and six letters, respectively. The results show that they never wrote these letters.
Apr 2023 DOI 10.14302/issn.2692-1537.ijcv-21-4040
The health and economic crisis caused by the SARS CoV-2 coronavirus and the Covid-19 disease has accelerated the emergence of an informational economy focused on the use of electronic networks. The impact of this scenario on education led to the transition from the traditional classroom to the electronic whiteboard. The objective of the present work was to analyze the relationships between human, social and intellectual capital. A model was established in which the prevalence of human capital formation indicated by data processing in the virtual classroom and self-management of knowledge is appreciated.
Jun 2022 DOI 10.14302/issn.2328-0182.japst-22-4193
The strategy for safe drug discovery and development has limited clinical success as compared to wasted time and resources annually. This is due to the fact that the results of multiphase preclinical trials are less likely to make an accurate early prediction on the safety of test compounds to progress into the clinic as a valuable therapeutic agent. A lot of time and resources has been wasted in the multistage processes of drug discovery and development that does not work at the end of the procedure every year. During pre-marketing stage, for instance, the number of unsuccessful clinical trials are greater than the successful one because of safety issues. A toxicity study at different stages of preclinical and clinical trials is a routine procedure to investigate the undesirable side effects of test compounds being manifested on the natural processes of living things. It deals with the effect and mechanism of toxicity of test compounds that triggers different biological responses on different organ systems. The biological responses that would be manifested as a result of interaction between the receptors and active molecules of a test compound could be desirable pharmacological effect or undesirable side effect or both responses are manifested simultaneously depending on the selectivity or specificity of the molecule of a test compound for its receptor subtype which makes safe drug discovery and development very challenging. The response efficiency of the body (the net outcome of the body’s biological reaction against the side effect) would determine the potency of a test compound to manifest undesirable pharmacologic effect. In other words, the amount of a drug required to cause a biological harm or injury depends on the magnitude of the body’s biological reaction in which the immune response plays a great pharmacological role by neutralizing and harmonizing xenobiotics with the biological molecules. The dose of a test compound at 100 mg/kg body weight, for instance, could be lethal to some of the study animals while it is still non-lethal to some other study animals depending on the response efficiency of the body. The immune system is well connected to each and every biological systems of the body which allows it to detect undesirable side effects being manifested through immunoglobulins signalling and activation mechanisms. This complex communication network helps to localize the diverse side effects of a test compound being manifested on different organ systems into the immune system which makes a toxicity study relatively simple to monitor. The cellular immune system becomes active following the molecule-receptor interaction and start producing antibodies which is also known as immunoglobulins to protect bodily harm and destruction. Under normal biological circumstances, the amount of immunoglobulins produced by the cellular immune system following exposure to a test compound is proportional to the number of harmful molecules interacted with its receptor subtype. Thus, with the reference to the changes in the immune response against the administered dose, it would be able to deal with the diverse undesirable side effects of a test compound being manifested on treated study animals using computational systemic biology.
Apr 2021
Aim Community-based psychosocial support centers for cancer patients and their relatives (CBPSCs), developed in the Netherlands, offer easily accessible contacts with fellow patients and support by trained volunteers. We studied the characteristics of visitors of CBPSCs, which palliative support they need and receive, and how satisfied they are with this support. Methods The role of 20 CBPSCs was explored in semi-structured interviews among 34 visitors with regard to their contacts with CBPSCs on palliative care (study 1). Additionally, in 25 CBPSCs, 701 visitors filled out a web-based questionnaire about their experiences with the palliative care (study 2). Within this second study, 25 coordinators of CBPSCs also answered questions about the palliative care (study 3). Results The cancer patients and proxies stressed the view that palliative support should be a part of the support by CBPSCs. This belief was confirmed by the coordinators. Not only attention to the reduction of symptoms, but also emotional support and information supply should be offered when recovery is no longer possible. Talking about death and dying may be worrying for some visitors in a better condition. Education of the volunteers is needed, taking into account the conditions in the CBPSCs e.g., the already existing experience with the palliative care in the CBPSCs and participation in regional networks. Practical Implications Further development of the attention given to palliative support, training and research in that field is needed.
Apr 2021
Background COVID-19 as an infectious disease, and deadly biological crisis, threatens the bio-psycho-social- spiritual health of the people. Spiritual health from the perspective of Islam, means having a sound heart, living in the present time with sense of peace, security, patience and gratitude, safe from the fear and anxiety of future, grief and regret for the past events. It affects other dimension of health. This study was conducted to investigate the spiritual health services in the face of the COVID-19 pandemic in a Muslim society. Methods This qualitative study was conducted from March 1, 2020 to the end of May 2020 in Tehran by using the Schwartz and Kim's hybrid model concept analysis with a deductive / inductive analysis approach, in three stages: 1- Theoretical review of religious and scientific evidence, 2- Field research 3- Final analysis. Data collection was done in hospitals and hospices by semi-structured interviews, taking notes, websites and social networks search. Data were analyzed by "Contractual Content Analysis Method". Results Despite the fact that spiritual health services (spiritual care and counseling) are not taught in Iranian universities, but in this biological crisis, spiritual health services, based on religious beliefs of health system employees were implemented. The Muslims’ belief in divine test, healing power of God, helping the people as highest worship, aroused spiritual awakening and enthusiasm in the health care team. Spiritual health services at prevention levels were provided with the aim of helping the patient, family and clients, in an inter-professional model based on the jurisprudential rules derived from the religious evidences (Verses and Hadiths), in line with holistic approach, community-based care, spiritual self-care, home-care, family participation. The involvement of non-specialists in the provision of medical services was prevented. According to, preserving the human dignity in Islam, Islamic rituals were performed by the treatment team and volunteer clerics for dying and dead people. Conclusion Considering the impact of religious spirituality on Muslims’ lifestyle and health behaviors, it seems that the use of Islamic health guidelines can improve the quality of health care services and help improve the spiritual health of people in biological crises.
Apr 2021 DOI 10.14302/issn.2692-1537.ijcv-21-3804
An algorithm to determine the possible mutations that can occur in the S protein responsible of the Covid-19 in humans is designed. To do that, nine tridimensional sequences available in the Protein Data Bank similar to the initial strain sequenced in Wuhan (December 2019) are identified. The conditions driving this potential mutation are: (1) an accumulated number of mutations greater than (or equal to) 5 in each position; (2), a cumulative value of the different variations of Gibbs free energy less than -2.0 Kcal/mol; and (3), a squared fluctuation greater than 1.6 Å obtained according to calculations for normal mode analysis based on anisotropic network models (ANM) after averaging the first 20 vibration modes. The result is that 491 positions can mutate, while 424 positions did not provide any mutation. Finally, the results reveal that there are mutations that cannot be predicted, so more studies are needed to determine why they are present in the human population.
Mar 2021 DOI 10.14302/issn.2692-1537.ijcv-21-3756
In contributing to the initiative to address the COVID-19 pandemic and in order to enhance the knowledge on driving forces shaping the evolution of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) (isolated from Tunisian patients), a comparison in relation to other coronaviruses infecting humans (SARS-CoV-1, MERS-CoV, HCoV/229E, HCoV/NL63, HCoV/OC43, and HCoV/HKU1) as well as animals (SARS-CoVs in tiger, bats, civet, pangolin, bovine, and MERS-CoV in dromedary/camel), was conducted. In-depth analysis was carried out involving 115 sequences of spike glycoprotein-coding gene extracted from the international databases. Phylogeny inference allowed the reconstruction of a bifurcating tree where four distinct groups were delineated and at the same time, three animal accessions (SARS-CoV-2/tiger, MERS-CoV/camel, and SARS-CoV/bovine) shifted from the animal group and integrated the human coronaviruses clades. Nonetheless, in the presence of reticulate events such as recombination, networks described better the phylogenetic relationships rather than the classic dendrogram. Thus, networks were produced and identified four clusters containing sharply demarcated subgroups (eight subdivisions). Except networked phylogenies of SARS-CoV-1, SARS-CoV-2, and HCoV/HKU1, all the others showed edges and boxes illustrating the occurrence of incompatibilities related to the sequences of spike glycoprotein-coding gene. Thereby and consolidating this result, three methods (RDP package, GARD, and RECCO) were used to detect breakpoints in aligned sequences. Except the clades SARS-CoV-1 and SARS-CoV-2, all the remaining phylogenetic subdivisions were subject to recombination. Furthermore, the screening of selection pressure in all studied sequences by various statistics-based models of the HyPhy package, showed that, similarly, the lineages belonging to the clades SARS-CoV-1 and SARS-CoV-2 were not under selection. In contrast, all members of the remaining clades underwent, to different extents, adaptive selection as well as purifying selection.
Nov 2020 DOI 10.14302/issn.2689-2855.jan-20-3616
The composites of Cu, Carbonyl iron (CI), carbon nanofiber (CNF), graphite nanoflake (GNF)/polypyrrole (PPy) and [(Cu-CI-CNF-GNF) 0.5-PAA]-PPy0.5 were synthesized via different methods by in-situ polymerization on the surface of nanoparticles (NPs) with core-shell structure. This paper describes a method for polyacrylic acid (PAA) coating of NPs in aqueous solution. Then PPy coating was performed by template polymerization on NPs-PAA. Morphology, magnetic and conductivity properties were observed via scanning electron microscopy (SEM), vibrating sample magnetometer (VSM) and four probe method, respectively. The microwave characterization of nanocomposite was evaluated through arch test based on a network analyzer. The PPy nanocomposites possessed the excellent microwave multi absorbers properties in 2-18 GHz. It was also found that nanocomposites with 50% w/w and light weight exhibit good microwave absorbing properties in 2-3 GHz and 5-14 GHz frequency, so can be used to cellphone, radio frequency and radar shielding.
Oct 2020 DOI 10.14302/issn.2768-0207.jbr-20-3568
The Coronavirus emergency represents an epochal challenge for all world health organizations. In these times of profound destabilization of healthcare organizations, become urgent some thoughts on how to deal with the organization and re-engineering process as well as on concepts, relatively new, such as "resilience" and "business continuity". The company management need having to predict, design and plan a profound process of change in their Clinical and Corporate Governance. With the implementation of phases 2 and 3 of management of the pandemic and the coexistence of doctors and citizens with the new Coronavirus, it has become a priority to develop territorial models of assistance to established or suspected Covid patients, starting with the creation of monitoring networks based on the model of the “sentinel” general practitioner. One of the main concerns of Healthcare, since the beginning of the Covid-19 emergency has been to get closer to the citizen-patient. It is therefore necessary to find stimuli to restart with new methods of care, new health and social-health services, moving the current care paradigm for Covid-19 from the hospital to the territory, optimizing the constituent elements of the districts, primary care and general practice in a multidisciplinary approach.
Oct 2019 DOI 10.14302/issn.2639-3166.jar-19-3015
Monsoon rains provide relief from the sweltering summer heat conditions, replenish depleted profile moisture to breathe new life in soils. With appropriate management of rain water, Indian summer monsoons boost the level of ‘reservoir of life’. Our inability to manage spatial and temporal rainfall variation features of deficit and excess rainfall episodes and their interactions with soil variability is a major cause of uncertainty in agricultural production. In the past, entire focus of national efforts was on rainwater harvesting, storage and distribution through canal networks and greater reliance on ground water pumping to meet immediate crop water demands. These approaches have resulted in wide spread problems of natural resource fatigue and unsustainable water supplies. This paper analyses the complexities of climate change-land degradation-food security nexus and suggests the need for adopting alternate approaches emphasising on in situ conservation of rain water and its efficient use such as to reverse the processes that contribute to land degradation in specific landscapes.
Aug 2019 DOI 10.14302/issn.2470-5020.jnrt-19-2974
According to the results of our laboratory the theory of immune dysfunction, the theory on the genetic architecture of ASD, the disrupted cortical connectivity theory and the theory on the contribution of cerebellum to ASD have shown fundamental experimental evidences to support the core symptoms of the complex and enigmatic physiopathology of autism spectrum disorder. The additional hypothesis about the neurogenesis in the amygdala, the contribution of oxytocin, vasopressin, the mirror neuron network, and mitochondrial dysfunction described are stimulating and interesting approaches that deserve further systematic basic and clinical neuroscience research.
Aug 2019 DOI 10.14302/issn.2572-3030.jcgb-19-2973
Head and Neck cancer (HNC) is one of the most prevalent and lethal cancer globally. The incidence of tobacco-induced HNC is gradually increasing in low and middle income countries. Among the various causative factors associated with HNCs, tobacco and alcohol play synergistic effect and are frequently associated with the risk of HNC. Tobacco-induced HNCs show distinct genetic and epigenetic alterations leading to different clinical outcomes in comparison to HPV-infected HNCs. Tobacco-induced HNCs are often associated with tumor aggressiveness, poor prognosis and low or nil prevalence of HPV infection. Apart from carcinogenic effects of these causative factors (use of tobacco products, alcohol intake and HPV or EBV infections), recent studies show that exposure to these factors alter/disrupt the regulation of non-coding RNAs including the long non-coding RNAs (lncRNAs). Altered lncRNA regulation is brought about by signalling networks that regulate cellular differentiation, apoptosis, angiogenesis and inflammatory pathways which play key functions in the genesis of different cancers including HNCs. There are numbers of studies supporting the emerging role of lncRNAs in development of HNC; however, reports connecting lncRNAs expression and addiction habits in HNC are still preliminary and sparse. Therefore, identification and characterization of lncRNAs that are differentially expressed upon exposure to risk-factors can serve as unique therapeutic targets and potential biomarker(s) for effective treatment of HNC subtypes. In this short review, we briefly reviewed the emerging role of lncRNAs in tobacco and alcohol induced HNCs.
Jun 2019 DOI 10.14302/issn.2691-3208.ijli-19-2853
This study was conducted to evaluate the prevalence of intestinal parasite in schoolchildren in Damanhur, Egypt and some of its villages. The pathogenic enteric protozoa have been progressively involved in bargaining the soundness of a great many individuals, for the most part in creating nations. Mediations are being set up to control the dreariness and mortality because of these protozoan contaminations. A portion of these mediations target school going kids with regards to class based wellbeing intercession. The present examination concentrated on exploring the commonness of intestinal protozoan contaminations among younger students chose networks comprising of urban, urban-poor and per urban settlements in the Damanhour and a few towns. In the present work Giardia lamblia was the second usually identified protozoan with a diseases rate 10.4% among the analyzed cases. In the present examination generally speaking level of parasitic contaminations among the kids was 57.3%. It's viewed as Enterobius vermicularis was the most usually identified protozoan as it spoke to 4.1% of the parasitic diseases in the considered cases pursued by Ascaris lumbricoides; 1.4% and Giardia lamblia contaminations as they spoke to 0.6%; separately. The protozoa like Giardia and Cryptosporidium are regularly present in surface waters and cause episodes in this manner legitimately affecting human wellbeing.
Feb 2019 DOI 10.14302/issn.2641-4538.jphi-19-2589
Several studies show that policies to improve maternal and infant health must be contextualised within broader questions and commitments concerning women’s empowerment. There are, however, two-way linkages between women’s empowerment and reproductive services. Certain institutional approaches that support women’s reproductive health can themselves be experienced as empowering whereas others, however well-meaning, can be experienced as disempowering, undermining health and broader goals. It is thus important to discern and support those elements of reproductive services that might have empowerment outcomes, and to avoid others that undermine them. This paper is premised on the hypothesis that approaches to reproductive health that are rooted in women’s life worlds, that support women’s social networks and which enhance women’s confidence and control will have very different empowerment effect from those that subordinate women and their networks to external expertise and (often male) authority and undermine women’s preferences or autonomy. We (a) conduct an audit of positive practices concerning maternal and child health and (b) examine how current support to maternal and infant health articulates with this. Analysis seeks to reposition indigenous knowledge, community wisdom and their secular practices in a way that promotes better health provision that is integrated with these existing practices and that is empowering.
Jan 2019 DOI 10.14302/issn.2641-5526.jmid-18-2529
Discrimination of case-control status based on gene expression differences has potential to identify novel pathways relevant to neurodegenerative diseases including Parkinson’s disease (PD). In this paper we applied two different novel algorithms to predict dysregulated pathways of gene expression across several different regions of the brain in PD and controls. The Fisher’s ratio sampler uses the Fisher’s ratio of the most discriminatory genes as prior probability distribution to sample the genetic networks and their likelihood (accuracy) was established via Leave-One-Out-Cross Validation (LOOCV). The holdout sampler finds the minimum-scale signatures corresponding to different random holdouts, establishing their likelihood using the validation dataset in each holdout. Phenotype prediction problems have by genesis a very high underdetermined character. We used both approaches to sample different lists of genes that optimally discriminate PD from controls and subsequently used gene ontology to identify pathways affected by disease. Both algorithms identified common pathways of Insulin signaling, FOXA1 Transcription Factor Network, HIF-1 Signaling, p53 Signaling and Chromatin Regulation/Acetylation. This analysis provides new therapeutic targets to treat PD.
Dec 2018 DOI 10.14302/issn.2641-4538.jphi-18-2464
Background Nicaragua has the highest prevalence of teenage pregnancies in Latin America. Knowledge regarding sexual and reproductive health plays an integral part in sexual behavior. The objective was to assess school going adolescents' knowledge about sexual and reproductive health and possible factors affecting it in the semi-rural community of Tololar, Nicaragua. Methods A cross-sectional study with a self-administered questionnaire on tablets was used for data collection. All 253 registered students at the school present at the time of fieldwork who gave written informed consent were deemed eligible for the study. A total of 225 participants in the ages of 11-19 years were included. Simple linear regression and multiple linear regression were performed analyzing the outcome knowledge. A p-value <0.05 was considered significant. Results The general knowledge about sexual and reproductive health was moderate; however, knowledge gaps were found such as prevailing myths and poor knowledge regarding human immunodeficiency virus (hiv) transmission and contraceptive methods. Being female and single were significant negative determinants of knowledge (p-value < 0.01) and knowledge increased significantly with age (p-value < 0.05). School teachers, websites, social networks, and TV were the most frequently chosen sources of information on the topic. Conclusions Increased education on sexual and reproductive health with new interventions particularly for young females is recommended. Using IT-based materials as a complement may be an effective way to reach out to adolescents.
Nov 2018 DOI 10.14302/issn.2572-3030.jcgb-18-2428
Head and neck cancers (HNCs) are the most prevalent and aggressive type of cancers. Genetic, epigenetic, environmental and viral risk-factors are associated with HNC carcinogenesis. Persistent infection of oncogenic human papillomaviruses (HR-HPVs) represent distinct biological, molecular and epigenetic entities in HNCs. There are three main epigenetic mechanisms that regulate transcription, these are DNA methylation, histone modifications and alteration in non-coding RNA networks, which can dissected to identify innovative and accurate epigenetic biomarkers for diagnosis and prognosis of HNC patients. Due to the lacunae of accurate distinctive biomarkers for the definite diagnosis of HNC, the identification of predictive epigenetic markers is necessary that might modify or increase HNC patient’s survival. In this mini review, we briefly summarize the current knowledge of different epigenetic biomarkers in HNC.
Aug 2018 DOI 10.14302/issn.2572-3030.jcgb-18-2183
This paper reviews the state of cancer research in the post-mutation era. It presents cancer as a highly complex disease viewed differently by scientists from various research fields. Histopathologists considered cancer as a disease of cell differentiation, cancer cell biologists overestimated the causal role of accumulated DNA mutations. More recently molecular biologists have focused on driver genes and driver mutations, regulatory gene networks and deregulation of the genomic balance between unicellular and multicellular gene sets (UG/MG balance). From a developmental biological standpoint, there is a clear analogy between the reproductive life cycles of cancer and protists. The key player of both analogous life cycles is the polyploid cyst, the atavistic cyst-like structure aCLS (PGCC). In the analogy to protists, we assume that the first aCLS initiating cancer originates from a mitoticly blocked cell (cell of origin of cancer, protoprecursor) that escapes death entering an atavistic reproductive process of polyploidisation and depolyploidisation; it forms the atavistic cyst-like structure aCLS and numerous daughter cells (microcells). The microcell progeny develops a multi-lined cell lineage containing stem cells as well as somatic and reproductive cells and clones. Subsequent aCLSs are formed sequentially by committed daughter cells or occasionally by stressed somatic cells. Accordingly, cancer initiation occurs by genomic changes leading to the amitotic cell state and reactivation of an atavistic life cycle. In humans, atavistic life cycles and hyperpolyploidisation (n >16) are mostly repressed by stable gene regulatory networks – but not in cancer. The permanent UG/MG gene conflict and robust ancient surveillance mechanisms trigger a cascade of molecular lesions leading to genomic heterogeneity and aberrant cancer cell states.
May 2018 DOI 10.14302/issn.2639-3166.jar-18-2084
The biofertilization of cropsusing microbial biota in the soil (MBS) is a modern practice that is used to sustain fertility. MBS agents can promote the yield and health of crops, by luxuriating in the shoot as well as in the root systems. Farmers devoted to systematic MBS fertilization are creating a “Symbiotic” (S) form of agriculture, which offers a greater advantage of resilience than Conventional (C) or organic farming. Since MBS is involved in organic matter degradation, hay-litter-bag probes can be used to reflect a global functionality of the active soil, in the short-medium term. It is here shown that the NIRS hay-litter-bag technique, intended not as mass decay but as a quality evolution of the hay probes, can be modelled as a valid footprint of S vs. C soils. A patented MBS was used in eight experiments in which litter-bags from an S treated thesis were compared with equivalent litter-bags from a non-inoculated C thesis. The chemical signature of the S vs. C in the litter-bag composition was a percentage decrease of sugars and fibres. A smart NIRS device was used to discriminate the origin of the S vs. C litter-bags and a sensitivity of 71% (P<0.0001) was obtained. External validations on 37 S farms showed that three NIRS models discriminated the true positive S spectra, with a sensitivity of 90% as single and 98% as compound probabilities The NIRS radiation of the hay-litter-bags confirmed the results of the S vs. C agriculture soil footprint. Moreover, the SCIO-NIR devices also made it possible to connect the S farms in a smart network.
May 2018 DOI 10.14302/issn.2637-6075.jpae-18-2062
Estimates of the genetic diversity of Large Japanese field mouse Apodemusspeciosus populations and identification of their plant food resources were conducted in an industrial green space, where were constructed on reclaimed land and belonged to the Aichi Refinery of Idemitsu Kosan Co., Ltd., in Aichi Prefecture, Japan. A total of six mitochondrial D-loop haplotypes were identified in 50 mice. Habitat condition with the highest number of captured individuals had abundant broad-leaved trees and understory vegetation. A minimum spanning network, which did not form a ring-shaped network, revealed that the hereditary population structure was weak. The low genetic diversity observed in the study area was thus attributed to isolation from other populations once the population in the study area by sea and road, which is more than 30 m wide. In order to identify which plant food resources were utilized by mice captured inside the industrial green space, partial chloroplast rbcL sequences were amplified by PCR from DNA extracted from 43 feces samples. Calculations of sample completeness curve revealed that 25 of the taxa identified in this study comprised approximately 90% of the food plant resources in the study area. Of the 21 plant families identified from the obtained rbcL sequences, members of the Rosaceae (28.0%), Fagaceae (17.2%), Lauraceae (14.2%) and Oleaceae (7.7%) were dominant. To ensure the continued survival of A. speciosuspopulation in this industrial green space would be to preferentially conserve plant species that are used as food resources by this species.
Feb 2018 DOI 10.14302/issn.2576-6694.jbbs-18-1887
The application of bilateral alternating stimulation in tactile (BLAST) form technology, a non-invasive, somatosensory-based method, has been shown to modulate the electrical activity of brain networks that mediate the stress response, resulting in a stress-reducing effect in individuals with high reported levels of anxiety, such as post-traumatic stress disorder (PTSD). In this study, we examined archival data from a heterogeneous group of users (n = 1109) of BLAST technology via Touchpoints, a novel BLAST-based treatment modality, all of whom had high self-reported levels of stress and anxiety. Ratings of levels of emotional stress and bodily distress on a scale of 0 (no stress/distress) to 10 (worst stress/distress of one's life) before and after the application of Touchpoints for 30 seconds were entered into an app. Results showed a statistically significant reduction in the levels of both emotional stress and bodily distress, 62.26% and 50.502%, respectively, after 30 seconds of BLAST technology was applied. This demonstrates a clear benefit of BLAST on the stress response, reducing both emotional stress and disturbing body sensations. Recent work examining EEG changes after BLAST technology is applied suggests that BLAST may reduce sympathetic activation by reducing the electrical activity of key areas of the salience network. Further work will more precisely characterize the effects of BLAST, its potential clinical uses, and the mechanisms of actions behind it’s apparent stress-reducing effects.
Jul 2017 DOI 10.14302/issn.2326-0793.JPGR-17-1571
Perkinsus marinus is an intracellular parasitic protozoan that is responsible for serious disease epizootics in marine bivalve mollusks worldwide. Despite all available information on P. marinus genomics, more baseline data is required at the proteomic level. Our aim was to study the proteome profile of in vitro cultured P. marinus isolated from oysters Crassostrea spp. using a label-free shotgun UDMSE approach. A total of 4073 non-redundant proteins were identified across three biological replicates with stringent identification. Proteins specifically related to adaptive survival, cell recognition, antioxidants, regulation of apoptosis and others were detected. Important virulence factors of P. marinus were identified including serine protease and iron-dependent superoxide dismutase. Other proteins with involvement in several pathogens invasion strategies were rhoptries, serine-threonine kinases, and protein phosphatases. Interestingly, peptides corresponding to retroviruses polyproteins were identified in all replicates. The interactomic analysis of P. marinus proteins demonstrated extensive clusters network related to biological processes. In conclusion, we provide the first comprehensive proteomic profile of P. marinus that can be useful for further investigations on Perkinsus biology and virulence mechanisms.
Jul 2017 DOI 10.14302/issn.2574-612X.ijpr-17-1543
Our own long term experiences as clinical teachers among undergraduate medical students have generated the interest to investigate the plausible connection between students’ study orientation and their learning experiences in small groups.The objective of the study was to assess the hypothesis whether learning in small groups may contribute to study motivation. Participants were 52 undergraduate medical students (10-12 in each group) in the primary health care course between 1st and 5th year during the spring term 2012. The questionnaires used were the Inventory of General studies (IGSO) for study orientation and IQ questionnaire for group learning. The data were analyzed by Bayesian network modeling. In this study, the application used was the Bayminer (www.BayMiner.com) non-linear visualization modeling software. Positive atmosphere in a small group increases study motivation and commitment and predicts mutual trust and gives space to new ideas, where contradictive views can raise interesting discussions. Based on Bayesian modeling it seems that the experience of motivational problems in the present studies may be an indicator of study alienation and connected with the perception of small group dysfunctionality.
Mar 2017 DOI 10.14302/issn.2326-0793.jpgr-17-1447
Factors that contribute to the onset of atherosclerosis may be elucidated by bioinformatic techniques applied to multiple sources of genomic and proteomic data. The results of genome wide association studies, such as the CardioGramPlusC4D study, expression data, such as that available from expression quantitative trait loci (eQTL) databases, along with protein interaction and pathway data available in Ingenuity Pathway Analysis (IPA), constitute a substantial set of data amenable to bioinformatics analysis. This study used bioinformatic analyses of recent genome wide association data to identify a seed set of genes likely associated with atherosclerosis. The set was expanded to include protein interaction candidates to create a network of proteins possibly influencing the onset and progression of atherosclerosis. Local average connectivity (LAC), eigenvector centrality, and betweenness metrics were calculated for the interaction network to identify top gene and protein candidates for a better understanding of the atherosclerotic disease process. The top ranking genes included some known to be involved with cardiovascular disease (APOA1, APOA5, APOB, APOC1, APOC2, APOE, CDKN1A, CXCL12, SCARB1, SMARCA4 and TERT), and others that are less obvious and require further investigation (TP53, MYC, PPARG, YWHAQ, RB1, AR, ESR1, EGFR, UBC and YWHAZ). Collectively these data help define a more focused set of genes that likely play a pivotal role in the pathogenesis of atherosclerosis and are therefore natural targets for novel therapeutic interventions.
Nov 2016 DOI 10.14302/issn.2474-9273.jbtm-16-1304
Objective The psychosocial aspect of drug use is seldom researched in Caribbean nations. Drug use in the Caribbean has been on the rise since the 1990s. Statistical indicators have established evidence for the increased rates of illegal drug use. This study briefly reviewed these indicators and explored factors that influenced the state of drug affairs in Grenada from 2001 to 2009. Methods Interviews conducted in a semi-structured form were carried out on key stakeholders involved in drug prevention in Grenada. Literary review of pertinent articles from search engines was used to buttress results. Further search through statistical records provided by the Drug Control Secretariat and Grenada Drug Information Network/National Observatory on Drugs (GRENDIN/NOD) was used to obtain information on recent developments surrounding drug related activities in Grenada. Results Trends show marijuana as the drug of choice and males being primarily involved in illegal drug activities. Additionally, cultural, and psychological factors play major roles in the proliferation of the drug problem in Grenada. Conclusion Despite preventive measures used to raise awareness on the dangers of drug use, drug use/abuse/activities are still at an all-time high in Grenada. Focusing on the social, cultural, psychological factors influencing illicit drug activities, and increased cooperation between anti-drug organizations may be effective in curbing illegal drug use in Grenada.
Jul 2016 DOI 10.14302/issn.2474-7785.jarh-16-1123
This article describes COLLAGE 360, a person‑centered care model for older adults that integrates comprehensive assessment, goal‑setting, and coordinated community services. The approach seeks to promote health and function while reducing fragmentation across medical and social supports. Early implementation experience outlines feasibility and pathways to measure outcomes and scale within aging networks.
Dec 2012 DOI 10.14302/issn.2324-7339.jcrhap-12-68
New research suggests that people living with HIV have the potential to be strong advocates for HIV prevention by passing on HIV prevention messages within their social networks. However, there is a paucity of research into the nature and prevalence of HIV prevention behaviours engaged in by HIV clients, and the psychosocial correlates of such advocacy, which are the goals of this analysis. We examined engagement in HIV prevention advocacy among 602 new HIV clients at two clinics in Uganda. Eighty nine percent reported encouraging others to get tested for HIV, 79% told people they know to use condoms when they have sex, and 61% reported discussing HIV more generally with friends and family. A client was classified as fully engaged in HIV prevention advocacy if they reported engaging in all three of the measured HIV prevention advocacy behaviors. In the bivariate analysis, being from the rural study site (p<0.001), higher levels of HIV disclosure to friends (p<0.001), greater hopefulness (p<0.001), and lower levels of depression (p<0.001) and internalized HIV stigma (p<0.001) were associated with full engagement in HIV prevention advocacy. In the multivariate analysis, being from the rural study site (OR=5.461, 95% CI=3.11-9.61), lower levels of internalized HIV stigma (OR=0.524, 95% CI=0.39-0.70) and higher levels of HIV status disclosure to friends (OR=2.040, 95% CI=1.23-3.38) remained significantly associated with full engagement in prevention advocacy. These data suggest that psychosocial adjustment and functioning may play a key role in empowering HIV clients to be advocates for prevention.
Dec 2012 DOI 10.14302/issn.2326-0793.jpgr-12-100
Defining protein-protein interactions is essential for understanding the mechanisms by which cells regulate basic functions, such as metabolism, transcription, and signal transduction. Affinity purification followed by tandem mass spectrometry (AP-MS) has application for discovery of new interactors regulating various cellular processes. Here we optimize the purification method for AP-MS and develop a simplified unbiased analytical tool, Z-score plus prey occurrence and reproducibility (ZSPORE) for data analysis. Using this pipeline we achieve a higher efficiency of AP-MS and enhanced identification of high confidence interacting proteins (HCIP) in mammalian cells. When applied to analysis of the innate immune interactome, these methods enhanced HCIP identification. In addition, we investigated the GRB2 complex, which is associated with signal transduction and cell growth. Twenty-four known GRB2 interacting proteins were identified plus 26 new GRB2 binding partners. Thus, these straightforward methods recapitulate known protein interactions, discover novel complexes, and allow mapping of protein interaction networks.