Global Health Systems Research Articles

Enhancing Cognitive Functions and Neuronal Growth through NPY1R Agonist and Ketamine Co-Administration: Evidence for NPY1R-TrkB Heteroreceptor Complexes in Rats

This study investigates the combined effects of the neuropeptide Y Y1 receptor (NPY1R) agonist [Leu31-Pro34]NPY at a dose of 132 µg and Ketamine at 10 mg/Kg on cognitive functions and neuronal proliferation, against a backdrop where neurodegenerative diseases present an escalating challenge to global health systems. Utilizing male Sprague-Dawley rats in a physiological model, this research employed a single-dose administration of these compounds and assessed their impact 24 h after treatment on object-in-place memory tasks, alongside cellular proliferation within the dorsal hippocampus dentate gyrus. Methods such as the in situ proximity ligation assay and immunohistochemistry for proliferating a cell nuclear antigen (PCNA) and doublecortin (DCX) were utilized. The results demonstrated that co-administration significantly enhanced memory consolidation and increased neuronal proliferation, specifically neuroblasts, without affecting quiescent neural progenitors and astrocytes. These effects were mediated by the potential formation of NPY1R-TrkB heteroreceptor complexes, as suggested by receptor co-localization studies, although further investigation is required to conclusively prove this interaction. The findings also highlighted the pivotal role of brain-derived neurotrophic factor (BDNF) in mediating these effects. In conclusion, this study presents a promising avenue for enhancing cognitive functions and neuronal proliferation through the synergistic action of the NPY1R agonist and Ketamine, potentially via NPY1R-TrkB heteroreceptor complex formation, offering new insights into therapeutic strategies for neurodegenerative diseases.

Fluoxetine and Sertraline Potently Neutralize the Replication of Distinct SARS-CoV-2 Variants

The pandemic caused by SARS-CoV-2 is still a major health problem. Newly emerging variants and long-COVID-19 represent a challenge for the global health system. In particular, individuals in developing countries with insufficient health care need easily accessible, affordable and effective treatments of COVID-19. Previous studies have demonstrated the efficacy of functional inhibitors of acid sphingomyelinase against infections with various viruses, including early variants of SARS-CoV-2. This work investigated whether the acid sphingomyelinase inhibitors fluoxetine and sertraline, usually used as antidepressant molecules in clinical practice, can inhibit the replication of the former and recently emerged SARS-CoV-2 variants in vitro. Fluoxetine and sertraline potently inhibited the infection with pseudotyped virus-like particles and SARS-CoV-2 variants D614G, alpha, delta, omicron BA.1 and omicron BA.5. These results highlight fluoxetine and sertraline as priority candidates for large-scale phase 3 clinical trials at different stages of SARS-CoV-2 infections, either alone or in combination with other medications.

Use of Immunoglobulin Y Antibodies: Biosensor-based Diagnostic Systems and Prophylactic and Therapeutic Drug Delivery Systems for Viral Respiratory Diseases.

Respiratory viruses have caused many pandemics from past to present and are among the top global public health problems due to their rate of spread. The recently experienced COVID-19 pandemic has led to an understanding of the importance of rapid diagnostic tests to prevent epidemics and the difficulties of developing new vaccines. On the other hand, the emergence of resistance to existing antiviral drugs during the treatment process poses a major problem for society and global health systems. Therefore, there is a need for new approaches for the diagnosis, prophylaxis, and treatment of existing or new types of respiratory viruses. Immunoglobulin Y antibodies (IgYs) obtained from the yolk of poultry eggs have significant advantages, such as high production volumes, low production costs, and high selectivity, which enable the development of innovative and strategic products. Especially in diagnosing respiratory viruses, antibody-based biosensors in which these antibodies are integrated have the potential to provide superiority in making rapid and accurate diagnosis as a practical diagnostic tool. This review article aims to provide information on using IgY antibodies in diagnostic, prophylactic, and therapeutic applications for respiratory viruses and to provide a perspective for future innovative applications.

Increased diabetogenic risk of recovered COVID-19 infection and unexposed respondents in the Central Region of Ghana

IntroductionIn spite of the negative effects of the coronavirus disease 2019 (COVID-19) on the global health system, its long-term impact on the evolution of diabetes is not fully ascertained. The current study was therefore designed to examine the diabetogenic risk of adults who had recovered from COVID-19 compared with their counterparts without any history of the condition in the Cape Coast metropolis of Ghana. Research design and methodsThis cross-sectional study involved 110 recovered COVID-19 and 110 COVID-19 unexposed respondents. Weight, height, hip circumference (HC) and waist circumference (WC) were measured for computation of body mass index (BMI), waist-to-hip ratio (WHR), and weight-to-height ratio (WtHtR). Also, systolic blood pressure, insulin, C-reactive protein (CRP), fasting blood glucose (FBS), lipid profile, 2-hour oral glucose tolerance test (2hr OGTT), total and visceral fat levels were measured. Homeostatic model assessment of beta-cell function (HOMAB) was applied to assess the secretory function of beta cells with insulin resistance determined by the homeostatic model assessment of insulin resistance (HOMA-IR), fasting insulin resistance index (FIRI), quantitative insulin sensitivity check index (QUICKI), and triglyceride-glucose index (TyG). ResultsRecovered COVID-19 respondents exhibited higher (P < 0.05) levels of BMI, WC, HC, WtHtR, CRP, FIRI, HOMA-IR, HOMAB and insulin but lower level of QUICKI than their unexposed counterparts. Compared with the recovered COVID-19 respondents, the overweight/obese COVID-19 unexposed group demonstrated higher insulin resistance but lower beta-cell function. Irrespective of COVID-19 background, FBS and insulin remained independent predictors for FIRI, QUICKI and HOMA-IR as TyG was predicted by FBS and selected components of lipid profile. ConclusionThe recovered COVID-19 respondents demonstrated a higher risk of developing type 2 diabetes mellitus through increased insulin resistance and beta-cell dysfunction than their uninfected counterparts. Urgent measures are needed to mitigate the identified risk.

Client and provider experiences with, and approaches to sustain HIV care during the COVID-19 pandemic restrictions at two public hospitals in southwestern Uganda

IntroductionThe COVID-19 pandemic had far-reaching consequences on global health systems, disrupting the delivery of routine healthcare services, and posing new challenges to ongoing disease control efforts. In Uganda, where HIV is endemic, the pandemic threatened to reverse the gains in the country’s HIV response over the past decade. In this study, we explored the effects of the COVID-19 pandemic on the HIV cascade, focusing on the impact of pandemic-related disruptions on retention in HIV care among Persons with HIV (PWH). We further highlighted the key challenges and opportunities for mitigating the adverse effects.MethodsQualitative data were collected from January 2022 to March 2022 using in-depth interviews with PWH (n = 20) and healthcare workers (n = 4) and key informant interviews (n = 6) with healthcare managers. The interviews explored current and previous experiences with HIV care services, including experiences of healthcare providers and managers delivering and PWH receiving HIV care amidst the COVID-19 restrictions and recovery period, strategies implemented to ensure continuity of services and barriers to implementing these strategies. We coded data in Dedoose software and analyzed using the thematic analysis.ResultsThe qualitative findings highlight the effects of the COVID-19 pandemic, including restricted access to HIV care points, sub-optimal clinical management of persons with HIV, loss of livelihoods, and interruptions in adherence. Adaptations to ensure continuity of care included leveraging community-based drug delivery strategies, phone call consultations, modification of clinic workspaces, and linkages to nearby health facilities. Barriers to these adaptations included the increased cost of services, psychological challenges, fear and anxiety surrounding COVID infection, access to treatment, survival, loss to follow-up with no information on patient referral, COVID infection among health workers, depletion of drug stocks due to multi-month scripting, shortage of Personal protective  equipment (PPE) supplies and other drugs.ConclusionThe COVID-19 pandemic had a significant impact on HIV care in Uganda, including reduced access to HIV care and support services, interruptions to ART adherence, and changes in HIV care delivery. Our findings highlight the barriers and enablers to HIV care delivery during the COVID-19 pandemic and lockdown and provide valuable lessons on efforts to mitigate interruptions in the future during periods of pandemics/lockdowns.

Pan-Genome Plasticity and Virulence Factors: A Natural Treasure Trove for Acinetobacter baumannii.

Acinetobacter baumannii is a Gram-negative pathogen responsible for a variety of community- and hospital-acquired infections. It is recognized as a life-threatening pathogen among hospitalized individuals and, in particular, immunocompromised patients in many countries. A. baumannii, as a member of the ESKAPE group, encompasses high genomic plasticity and simultaneously is predisposed to receive and exchange the mobile genetic elements (MGEs) through horizontal genetic transfer (HGT). Indeed, A. baumannii is a treasure trove that contains a high number of virulence factors. In accordance with these unique pathogenic characteristics of A. baumannii, the authors aim to discuss the natural treasure trove of pan-genome and virulence factors pertaining to this bacterial monster and try to highlight the reasons why this bacterium is a great concern in the global public health system.

Engineered two-dimensional nanomaterials based diagnostics integrated with internet of medical things (IoMT) for COVID-19.

More than four years have passed since an inimitable coronavirus disease (COVID-19) pandemic hit the globe in 2019 after an uncontrolled transmission of the severe acute respiratory syndrome (SARS-CoV-2) infection. The occurrence of this highly contagious respiratory infectious disease led to chaos and mortality all over the world. The peak paradigm shift of the researchers was inclined towards the accurate and rapid detection of diseases. Since 2019, there has been a boost in the diagnostics of COVID-19 via numerous conventional diagnostic tools like RT-PCR, ELISA, etc., and advanced biosensing kits like LFIA, etc. For the same reason, the use of nanotechnology and two-dimensional nanomaterials (2DNMs) has aided in the fabrication of efficient diagnostic tools to combat COVID-19. This article discusses the engineering techniques utilized for fabricating chemically active E2DNMs that are exceptionally thin and irregular. The techniques encompass the introduction of heteroatoms, intercalation of ions, and the design of strain and defects. E2DNMs possess unique characteristics, including a substantial surface area and controllable electrical, optical, and bioactive properties. These characteristics enable the development of sophisticated diagnostic platforms for real-time biosensors with exceptional sensitivity in detecting SARS-CoV-2. Integrating the Internet of Medical Things (IoMT) with these E2DNMs-based advanced diagnostics has led to the development of portable, real-time, scalable, more accurate, and cost-effective SARS-CoV-2 diagnostic platforms. These diagnostic platforms have the potential to revolutionize SARS-CoV-2 diagnosis by making it faster, easier, and more accessible to people worldwide, thus making them ideal for resource-limited settings. These advanced IoMT diagnostic platforms may help with combating SARS-CoV-2 as well as tracking and predicting the spread of future pandemics, ultimately saving lives and mitigating their impact on global health systems.

Development of Fluorescence-Based Assays for Key Viral Proteins in the SARS-CoV-2 Infection Process and Lifecycle.

Since the appearance of SARS-CoV-2 in 2019, the ensuing COVID-19 (Corona Virus Disease 2019) pandemic has posed a significant threat to the global public health system, human health, life, and economic well-being. Researchers worldwide have devoted considerable efforts to curb its spread and development. The latest studies have identified five viral proteins, spike protein (Spike), viral main protease (3CLpro), papain-like protease (PLpro), RNA-dependent RNA polymerase (RdRp), and viral helicase (Helicase), which play crucial roles in the invasion of SARS-CoV-2 into the human body and its lifecycle. The development of novel anti-SARS-CoV-2 drugs targeting these five viral proteins holds immense promise. Therefore, the development of efficient, high-throughput screening methodologies specifically designed for these viral proteins is of utmost importance. Currently, a plethora of screening techniques exists, with fluorescence-based assays emerging as predominant contenders. In this review, we elucidate the foundational principles and methodologies underpinning fluorescence-based screening approaches directed at these pivotal viral targets, hoping to guide researchers in the judicious selection and refinement of screening strategies, thereby facilitating the discovery and development of lead compounds for anti-SARS-CoV-2 pharmaceuticals.

A closer look at Cuba’s public health model that prioritizes population health

As the largest Caribbean island, Cuba is known for its picturesque Havana boardwalk, musical rhythms, and tropical climate. A closer look at the national public health model that integrates care for Cuban citizens, however, is fundamental to learn and adapt lessons learned and best practices to bridge knowledge-practice gaps within global health systems. In this visual essay, the author explores connections between photography and community health, illustrating an invaluable story about a primary care workforce, supported by the health system infrastructure, dedicated to achieve high-quality community health for citizens. She shares photographs coupled with narrative elements to showcase the population health model of Cuba, one Latin America and Caribbean country that has received international recognition for achieving universal health care to residents. She weaves words and images to portray her experiences of completing clinical rotations in tuberculosis prevention and control at the ‘Pedro Kourí’ Tropical Medicine Institute and surrounding public health institutions in the capital city of Havana.

Field based research in the era of the pandemic in resource limited settings: challenges and lessons for the future.

The coronavirus pandemic that began in December 2019, has had an unprecedented impact on the global economy, health systems and infrastructure, in addition to being responsible for significant mortality and morbidity worldwide. The "new normal" has brought along, unforeseen challenges for the scientific community, owing to obstructions in conducting field-based research in lieu of minimizing exposure through in-person contact. This has had greater ramifications for the LMICs, adding to the already existing concerns. As a response to COVID-19 related movement restrictions, public health researchers across countries had to switch to remote data collections methods. However, impediments like lack of awareness and skepticism among participants, dependence on paper-based prescriptions, dearth of digitized patient records, gaps in connectivity, reliance on smart phones, concerns with participant privacy at home and greater loss to follow-up act as hurdles to carrying out a research study virtually, especially in resource-limited settings. Promoting health literacy through science communication, ensuring digitization of health records in hospitals, and employing measures to encourage research participation among the general public are some steps to tackle barriers to remote research in the long term. COVID-19 may not be a health emergency anymore, but we are not immune to future pandemics. A more holistic approach to research by turning obstacles into opportunities will not just ensure a more comprehensive public health response in the coming time, but also bolster the existing infrastructure for a stronger healthcare system for countries.

The importance of incorporating systems thinking and One Health in global health classrooms: findings from a One Health simulation activity.

There are several challenges and opportunities in health education in global health. Given the field's rapid expansion, demand for including systems thinking and One Health (a unifying approach that considers human, animal, and environmental health) in global health courses has recently increased. Simulation activities provide an avenue to attain and assess learning objectives that foster critical and systems thinking. This study carried out a One Health simulation activity in an undergraduate global health course, conducted a focus group discussion, and obtained responses from written questionnaires from students who participated in the activity. Data were analyzed using thematic analysis. Results show that the One Health simulation was instrumental for students to understand the complex interactions between different actors and stakeholders in global health systems. The One Health simulation also improved class dynamics, peer-to-peer interactions, and collaborations in the remaining part of the course. The activity helped assess two of the critical thinking learning objectives of the course, and there was some evidence that student agency and confidence may have been improved. Evidence shows that the activity helped students understand the principles of systems thinking and apply them in complex scenarios. Findings support including interactive simulation activities in global health courses to include elements of system science and One Health into classroom activities innovatively and engagingly.

Pathophysiological, immunological, and inflammatory features of long COVID.

The COVID-19 pandemic continues to cause severe global disruption, resulting in significant excess mortality, overwhelming healthcare systems, and imposing substantial social and economic burdens on nations. While most of the attention and therapeutic efforts have concentrated on the acute phase of the disease, a notable proportion of survivors experience persistent symptoms post-infection clearance. This diverse set of symptoms, loosely categorized as long COVID, presents a potential additional public health crisis. It is estimated that 1 in 5 COVID-19 survivors exhibit clinical manifestations consistent with long COVID. Despite this prevalence, the mechanisms and pathophysiology of long COVID remain poorly understood. Alarmingly, evidence suggests that a significant proportion of cases within this clinical condition develop debilitating or disabling symptoms. Hence, urgent priority should be given to further studies on this condition to equip global public health systems for its management. This review provides an overview of available information on this emerging clinical condition, focusing on the affected individuals' epidemiology, pathophysiological mechanisms, and immunological and inflammatory profiles.

Providing Mental Healthcare through Faith-based Entities in Africa: A Systematic Review

Background: Psychological disturbances and mental illnesses are prevalent on the continent of Africa. There are shortages of mental health services and a lack of quality providers with limited training and supervision.  It is perceived that faith-based entities for psycho-emotional health and wellbeing are filling the gap with positive impact. However, the risks associated with unconventional or extreme spiritual practices will be evaluated.  The contributions of these entities, their roles in the global and African health system, and their implications for community development and policy making are highlighted. Methods: A mixed-methods systematic review was conducted in two phases to synthesise qualitative and quantitative data. The review sought evidence on faith-based health providers of mental health services in Africa looking at types, magnitude, and quality, and included both peer-reviewed and grey literature, published between 2007 and 2024, in English. A narrative thematic analysis was used for the qualitative part and meta-analyses was used for the quantitative part to back up the narrative element of this study. Results: This review identified 55 relevant items from 13 African countries. The results showed that faith-based mental health providers deliver a range of six types of alternative mental health care, faith-based home care and faith-based biomedical mental health care. The magnitude of these faith-based mental health services was considered according to frequency of use and availability (accessibility, affordability, and acceptability), but evidence was limited. When the quality of these mental health care was assessed, some studies showed positive mental health outcomes from the utilisation of faith-based mental health care, but some studies revealed bad quality practices due to inhumane treatments. Conclusion: There are limitations regarding the vast array of faith-based health providers and the mental health care as they provide which include harmful practices used in Africa. Training interventions are needed to avoid some of the inhumane treatments. Faith-based mental health care offers culturally influenced practices for mental health which should be leveraged. Integration of faith-based mental health care into primary health system is advised in order to attain universal health coverage. Finally, possible regulation of traditional and faith healing methods for emotional struggles could be implemented at a policy level.

Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions.

The field of implementation science was developed to address the significant time delay between establishing an evidence-based practice and its widespread use. Although implementation science has contributed much toward bridging this gap, the evidence-to-practice chasm remains a challenge. There are some key aspects of implementation science in which advances are needed, including speed and assessing causality and mechanisms. The increasing availability of artificial intelligence applications offers opportunities to help address specific issues faced by the field of implementation science and expand its methods. This paper discusses the many ways artificial intelligence can address key challenges in applying implementation science methods while also considering potential pitfalls to the use of artificial intelligence. We answer the questions of "why" the field of implementation science should consider artificial intelligence, for "what" (the purpose and methods), and the "what" (consequences and challenges). We describe specific ways artificial intelligence can address implementation science challenges related to (1) speed, (2) sustainability, (3) equity, (4) generalizability, (5) assessing context and context-outcome relationships, and (6) assessing causality and mechanisms. Examples are provided from global health systems, public health, and precision health that illustrate both potential advantages and hazards of integrating artificial intelligence applications into implementation science methods. We conclude by providing recommendations and resources for implementation researchers and practitioners to leverage artificial intelligence in their work responsibly. Artificial intelligence holds promise to advance implementation science methods ("why") and accelerate its goals of closing the evidence-to-practice gap ("purpose"). However, evaluation of artificial intelligence's potential unintended consequences must be considered and proactively monitored. Given the technical nature of artificial intelligence applications as well as their potential impact on the field, transdisciplinary collaboration is needed and may suggest the need for a subset of implementation scientists cross-trained in both fields to ensure artificial intelligence is used optimally and ethically.

Collagen-Based Scaffolds for Chronic Skin Wound Treatment.

Chronic wounds, commonly known as ulcers, represent a significant challenge to public health, impacting millions of individuals every year and imposing a significant financial burden on the global health system. Chronic wounds result from the interruption of the natural wound-healing process due to internal and/or external factors, resulting in slow or nonexistent recovery. Conventional medical approaches are often inadequate to deal with chronic wounds, necessitating the exploration of new methods to facilitate rapid and effective healing. In recent years, regenerative medicine and tissue engineering have emerged as promising avenues to encourage tissue regeneration. These approaches aim to achieve anatomical and functional restoration of the affected area through polymeric components, such as scaffolds or hydrogels. This review explores collagen-based biomaterials as potential therapeutic interventions for skin chronic wounds, specifically focusing on infective and diabetic ulcers. Hence, the different approaches described are classified on an action-mechanism basis. Understanding the issues preventing chronic wound healing and identifying effective therapeutic alternatives could indicate the best way to optimize therapeutic units and to promote more direct and efficient healing.

Developing an agenda for the decolonization of global health.

Colonialism, which involves the systemic domination of lands, markets, peoples, assets, cultures or political institutions to exploit, misappropriate and extract wealth and resources, affects health in many ways. In recent years, interest has grown in the decolonization of global health with a focus on correcting power imbalances between high-income and low-income countries and on challenging ideas and values of some wealthy countries that shape the practice of global health. We argue that decolonization of global health must also address the relationship between global health actors and contemporary forms of colonialism, in particular the current forms of corporate and financialized colonialism that operate through globalized systems of wealth extraction and profiteering. We present a three-part agenda for action that can be taken to decolonize global health. The first part relates to the power asymmetries that exist between global health actors from high-income and historically privileged countries and their counterparts in low-income and marginalized settings. The second part concerns the colonization of the structures and systems of global health governance itself. The third part addresses how colonialism occurs through the global health system. Addressing all forms of colonialism calls for a political and economic anticolonialism as well as social decolonization aimed at ensuring greater national, racial, cultural and knowledge diversity within the structures of global health.

Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework

COVID-19-like pandemics are a major threat to the global health system that causes a lot of deaths across ages. Large-scale medical images (i.e., X-rays, computed tomography (CT)) dataset is favored to the accuracy of deep learning (DL) in the screening of COVID-19-like pneumonia. The cost, time, and efforts for acquiring and annotating, for instance, large CT datasets make it impossible to obtain large numbers of samples from a single institution. The research attentions have been moved toward sharing medical images from numerous medical institutions. However, owing to the necessity to preserve the privacy of the data of a patient, it is challenging to build a centralized dataset from many institutions, especially during the pandemic. More. The difference in the data acquisition process from one institution to another brings another challenge known as distribution heterogeneity. This paper presents a novel federated learning framework, called Federated Multi-Site COVID-19 (FEDMSCOV), for efficient, generalizable, and privacy-preserved segmentation of COVID-19 infection from multi-site data. In FEDMSCOV, a novel is local drift smoothing (LDS) module encodes the input from feature space to frequency space, aiming to suppress the modules that are not conducive to generalization. Given the smoothed local updated, FEDMSCOV presents a novel Mixture-of-Expert (MoE) scheme to resolve global shift in parameters. An adapted differential privacy method is applied to design and protect the privacy of local updates during the training. Experimental evaluation on a large-scale multi-institutional COVID-19 dataset demonstrated the efficiency of the proposed framework over competing learning approaches with statistical significance.

Global Health Management in the Face of Emerging Pandemic Threats: Strategies, Challenges, and Opportunities for International Cooperation

The global Pandemic that has emerged has led to big challenges for the world health system, showing limitations in infrastructure, response, and international coordination. Inequality in the distribution of health resources and access to maintenance, along with obstacles in communication and coordination of inter-country policies, shows the urgent need for evaluating and improving global health management strategies. This condition encourages the need for in-depth analysis of strategies that can be implemented in dealing with pandemics, including strengthening the health system and international cooperation. This study aims to identify and analyze various strategies in global health management to deal with pandemics that emerge, focusing on threats, challenges, and opportunities for international cooperation. This study uses a qualitative approach, relies on data from relevant studies and studies, and is followed by in-depth analysis to integrate findings. The results of this study indicate that the current global health system faces various challenges in dealing with the Pandemic, which include infrastructure readiness, the effectiveness of surveillance systems and early detection, as well as the need for stronger international cooperation. There are also challenges in coordinating between countries, political and economic influences, as well as obstacles in communication and dissemination of information. This study found that international cooperation, especially in research and medical development, sharing resources, and coordination by international organizations, is the key to tackling the Pandemic. Building the capacity of the health system in developing countries is also an important aspect of global strategy.

Neuroprotection by tetramethylpyrazine and its synthesized analogues for central nervous system diseases: a review.

Due to the global increase in aging populations and changes in modern lifestyles, the prevalence of neurodegenerative diseases, cerebrovascular disorders, neuropsychiatrcic conditions, and related ailments is rising, placing an increasing burden on the global public health system. All studies on tetramethylpyrazine (TMP) and its derivatives were obtained from reputable sources such as PubMed, Elsevier, Library Genesis, and Google Scholar. Comprehensive data on TMP and its derivatives was meticulously compiled. This comprehensive analysis explains the neuroprotective effects demonstrated by TMP and its derivatives in diseases of the central nervous system. These compounds exert their influence on various targets and signaling pathways, playing crucial roles in the development of various central nervous system diseases. Their multifaceted mechanisms include inhibiting oxidative damage, inflammation, cell apoptosis, calcium overload, glutamate excitotoxicity, and acetylcholinesterase activity. This review provides a brief summary of the most recent advancements in research on TMP and its derivatives in the context of central nervous system diseases. It involves synthesizing analogs of TMP and evaluating their effectiveness in models of central nervous system diseases. The ultimate goal is to facilitate the practical application of TMP and its derivatives in the future treatment of central nervous system diseases.

Arterial and venous peripheral vascular assessment using wearable electro-resistive morphic sensors

Peripheral vascular diseases (PVDs) represent a significant burden on global human health and healthcare systems. With continued growth in obesity and diabetes, it is likely that the incidence of these conditions will increase. As many PVDs remain undiagnosed, low-cost and easy to use diagnostic methods are required. This work uses newly developed wearable electro-resistive morphic sensors to assess venous and arterial competence in the lower limbs of 36 healthy subjects. Comparison of this HeMo device was made to currently available benchtop light reflection rheography and photoplethymography devices. Results indicate that HeMo can detect the physiological signals of interest for both chronic venous insufficiency and peripheral arterial disease and all subjects were interpreted as healthy by each system. However, measurement repeatability of HeMo was highlighted as an issue that requires further system development. Furthermore, as HeMo captures changes in a section of limb circumference due to changes in underlying blood movement, rather than at a single point, the recorded signal is typically damped by comparison. This factor should be considered in any future developments.