World Population Research Articles

Between a rock and a hard place: A geosocial approach to water insecurity in Kabul

Approximately 50% of the global population currently experiences severe water scarcity, a situation likely to intensify due to climate change. At the same time, the poorest population segments bear the greatest burden of water insecurity. This intersection of geophysical, geochemical, and socio-economic dimensions of water (in)security challenges requires a geosocial perspective, one that attends simultaneously to geophysical, geochemical, and socio-economic dimensions. Our qualitative study, conducted through 68 semi-structured interviews across two distinct sub-basins in Kabul, revealed disparities in groundwater levels, water quality, water prices, and lived experiences of water insecurity. While environmental stressors like drought and groundwater contamination contribute to water insecurity, socio-economic factors such as gender and property ownership exacerbate these impacts: Women and children bear a heavy burden of securing water, with children’s involvement in water-fetching leading to instances of violence. Furthermore, trucked water costs 33 times that of piped water, echoing alarming global trends where less privileged communities endure disproportionately greater challenges of water inaccessibility. We outline policy implications for monitoring groundwater abstraction and underscore the need for tailored strategies to combat water scarcity, such as pro-poor water strategies. Additionally, our work draws attention to the role of local gatekeepers who have informally regulated water usage in response to drought-induced scarcity, particularly in the absence of functioning government policies, underscoring the importance of collaboration with local stakeholders to ensure sustainable access to water. We argue that a geosocial approach to water (in)security can provide high-resolution findings and reveal critical gaps between common metrics and the realities of water (in)security, which also underlines the need for integrated approaches incorporating both quantitative and qualitative research.

Diabetes Prediction Using Machine Learning and Flask

Diabetes is one of the costliest chronic diseases, it is a metabolic disorder in which a patient has excessive blood sugar levels due to the body's inability to create enough insulin, and it can also cause long-term harm to the heart, blood vessels, eyes, kidneys, and nerves. Adults with diabetes are twice as likely as non-diabetics to have a heart attack or stroke. Despite its massive impact on the global population, no kind of diabetes has a cure. Although most medications help patients manage their symptoms to some extent, diabetics nevertheless suffer several long-term health concerns. So, if we are able to predict diabetes early, we could control it and it can be done by using Machine learning techniques. Our work aim is to predict if the patient has diabetes using Machine learning techniques and the ensemble method. We will be using four algorithms which are SVM, KNN, Logistic Regression, and Random Forest classifier and we would also compare all four models to check which model is giving the best accuracy and link our best model to a web app that could predict if the patient has any chances of having diabetes.

Age-related changes in the susceptibility to visual illusions of size.

As the global population ages, understanding of the effect of aging on visual perception is of growing importance. This study investigates age-related changes in adulthood along size perception through the lens of three visual illusions: the Ponzo, Ebbinghaus, and Height-width illusions. Utilizing the Bayesian conceptualization of the aging brain, which posits increased reliance on prior knowledge with age, we explored potential differences in the susceptibility to visual illusions across different age groups in adults (ages 20-85 years). To this end, we used the BTPI (Ben-Gurion University Test for Perceptual Illusions), an online validated battery of visual illusions developed in our lab. The findings revealed distinct patterns of age-related changes for each of the illusions, challenging the idea of a generalized increase in reliance on prior knowledge with age. Specifically, we observed a systematic reduction in susceptibility to the Ebbinghaus illusion with age, while susceptibility to the Height-width illusion increased with age. As for the Ponzo illusion, there were no significant changes with age. These results underscore the complexity of age-related changes in visual perception and converge with previous findings to support the idea that different visual illusions of size are mediated by distinct perceptual mechanisms.

ToxoNet: A high confidence map of protein-protein interactions in Toxoplasma gondii.

The apicomplexan intracellular parasite Toxoplasma gondii is a major food borne pathogen that is highly prevalent in the global population. The majority of the T. gondii proteome remains uncharacterized and the organization of proteins into complexes is unclear. To overcome this knowledge gap, we used a biochemical fractionation strategy to predict interactions by correlation profiling. To overcome the deficit of high-quality training data in non-model organisms, we complemented a supervised machine learning strategy, with an unsupervised approach, based on similarity network fusion. The resulting combined high confidence network, ToxoNet, comprises 2,063 interactions connecting 652 proteins. Clustering identifies 93 protein complexes. We identified clusters enriched in mitochondrial machinery that include previously uncharacterized proteins that likely represent novel adaptations to oxidative phosphorylation. Furthermore, complexes enriched in proteins localized to secretory organelles and the inner membrane complex, predict additional novel components representing novel targets for detailed functional characterization. We present ToxoNet as a publicly available resource with the expectation that it will help drive future hypotheses within the research community.

Effectiveness of dairy products to protect against cognitive decline in later life: a narrative review.

As the world's population ages the prevalence of age-related health concerns is increasing, including neurodegeneration disorders such as mild cognitive impairment, vascular dementia and Alzheimer's disease. Diet is a key modifiable risk factor for the development of neurodegeneration, likely due to gut-brain axis interactions related to neuroinflammation. Analyses of dietary patterns identified dairy as being part of a cognitively healthy diet; however, its contribution to cognitive outcomes is difficult to discern. This narrative review evaluates the literature to determine whether there is sufficient evidence that the consumption of dairy products helps to maintain cognitive function in later life. A search using the terms (dairy OR milk OR cheese OR yogurt OR yogurt) AND ("mild cognitive impairment" OR dementia OR "Alzheimer's disease") identified 796 articles. After screening and sorting, 23 observational studies and 6 intervention studies were identified. The results of the observational studies implied that the relationship between total dairy consumption and cognitive outcomes is inverse U-shaped, with moderate consumption (1-2 servings per day) being the most beneficial. The analysis of the intake of different types of dairy products indicated that fermented products, particularly cheese, were most likely responsible for the observed benefits. The experimental studies all used dairy-derived peptides produced during fermentation as the dietary intervention, and the results indicated that these could be an effective treatment for early-stage cognitive impairment. Further experimental studies with whole dairy products, particularly fermented dairy, are needed to determine whether the regular consumption of these foods should be recommended to maximize the likelihood of healthy cognitive aging.

Treatment Options and Continuity of Care in Metabolic-associated Fatty Liver Disease: A Multidisciplinary Approach.

The terms non-alcoholic fatty liver disease and non-alcoholic steatohepatitis have some limitations as they use exclusionary confounder terms and the use of potentially stigmatising language. Recently, a study with content experts and patients has been set to change this nomenclature. The term chosen to replace non-alcoholic fatty liver disease was metabolic dysfunction-associated steatotic liver disease (MASLD), which avoids stigmatising and helps improve awareness and patient identification. MASLD is the most common cause of chronic liver disease with an increasing prevalence, accounting for 25% of the global population. It is considered the hepatic manifestation of the metabolic syndrome with lifestyle playing a fundamental role in its physiopathology. Diet change and physical activity are the cornerstones of treatment, encompassing weight loss and healthier behaviours and a holistic approach. In Europe, there is no approved drug for MASLD to date and there is a substantial unmet medical need for effective treatments for patients with MASLD. This review not only provides an update on advances in evidence for nutrition and physical activity interventions but also explores the different therapeutic options that are being investigated and whose development focuses on the restitution of metabolic derangements and halting inflammatory and fibrogenic pathways.

Adoptive Cell Therapy in Mice Sensitized to a Grass Pollen Allergen.

The proportion of patients with type I allergy in the world population has been increasing and with it the number of people suffering from allergic symptoms. Recently we showed that prophylactic cell therapy employing allergen-expressing bone marrow (BM) cells or splenic B cells induced allergen-specific tolerance in naïve mice. Here we investigated if cell therapy can modulate an established secondary allergen-specific immune response in pre-immunized mice. We sensitized mice against the grass pollen allergen Phl p 5 and an unrelated control allergen, Bet v 1, from birch pollen before the transfer of Phl p 5-expressing BM cells. Mice were conditioned with several combinations of low-dose irradiation, costimulation blockade, rapamycin and T cell-depleting anti-thymocyte globulin (ATG). Levels of allergen-specific IgE and IgG1 in serum after cell transfer were measured via ELISA and alterations in cellular responses were measured via an in vitro proliferation assay and transplantation of Phl p 5+ skin grafts. None of the tested treatment protocols impacted Phl p 5-specific antibody levels. Transient low-level chimerism of Phl p 5+ leukocytes as well as a markedly prolonged skin graft survival were observed in mice conditioned with high numbers of Phl p 5+ BMC or no sensitization events between the day of cell therapy and skin grafting. The data presented herein demonstrate that a pre-existing secondary allergen-specific immune response poses a substantial hurdle opposing tolerization through cell therapy and underscore the importance of prophylactic approaches for the prevention of IgE-mediated allergy.

COVID-19 Pandemic, Economic Livelihoods, and the Division of Labor in Rural Communities of Delta and Edo States in Nigeria

The COVID-19 pandemic affected economic, social, health, and political aspects of most global, national, and local populations, including urban and rural communities. Government measures like lockdowns resulted in the closure of schools and businesses, while social distancing preventing group gatherings impacted public and private spaces. Based on key informants’ interviews with 36 participants drawn equally from three senatorial districts of Edo and Delta states of Nigeria, we analyzed the impact of the COVID-19 pandemic on the type of work men and women do and division of household activities, such as cooking, child, and family care. The findings show that traditional gender role ideology (GRI) defines and shapes rural men’s and women’s work, with women more engaged in farming, rearing livestock, and trading while men are engaged in farming, rearing livestock, and carrying out skilled jobs like carpentry, plumbing, and blacksmithing. The lockdown of schools and workplaces resulted in women disproportionately bearing the burden of cooking and caring for children, the elderly, and the sick. A few rural men shared childcare, while women spent more time on housework and childcare activities than in the pre-pandemic period when children were in school for 6–7 h daily. During the pandemic, rural men and women spent more time with the children, such that rural women stayed at home or took children to the farms and marketplaces where possible. Older siblings and the elderly also provided support for women. In conclusion, work and family activities during COVID were, to an extent, difficult to manage as parents had to cope with increasing food insecurity, economic and transportation costs, and social deprivation fostered by social norms, values, and practices that perpetuate gender inequality and marginalization of women.

The Birth Prevalence of Congenital Hyperinsulinism: A Narrative Review of the Epidemiology of a Rare Disease.

Congenital hyperinsulinism (HI) is a rare pediatric disease and the most common cause of severe, persistent hypoglycemia in childhood. It is characterized by the dysregulation of insulin secretion from the pancreas and can lead to irreversible brain damage with lifelong neurodisability. The global birth prevalence of HI is currently unknown. An evidence-based estimate of HI birth prevalence is essential to improve diagnosis and patient management, to drive clinical research and the development of new treatments, and to inform public policy. In order to estimate the birth prevalence of persistent HI, a targeted literature review of studies that report HI epidemiological data was undertaken, and the strengths and limitations of each study were analyzed. Overall, eight global studies were identified that reported independently determined HI epidemiological data. The best estimate for the birth prevalence of persistent HI in European-ancestry populations is 3.5 per 100,000 births. Local consanguinity patterns appear to have a considerable impact on the birth prevalence of persistent HI in each country, precluding the application of this figure to all global populations. More epidemiological studies with robust methodology are needed to enable a reliable approximation of the incidence and prevalence of HI in global populations.

Liver Cell Mitophagy in Metabolic Dysfunction-Associated Steatotic Liver Disease and Liver Fibrosis.

Metabolic dysfunction-associated steatotic liver disease (MASLD) affects approximately one-third of the global population. MASLD and its advanced-stage liver fibrosis and cirrhosis are the leading causes of liver failure and liver-related death worldwide. Mitochondria are crucial organelles in liver cells for energy generation and the oxidative metabolism of fatty acids and carbohydrates. Recently, mitochondrial dysfunction in liver cells has been shown to play a vital role in the pathogenesis of MASLD and liver fibrosis. Mitophagy, a selective form of autophagy, removes and recycles impaired mitochondria. Although significant advances have been made in understanding mitophagy in liver diseases, adequate summaries concerning the contribution of liver cell mitophagy to MASLD and liver fibrosis are lacking. This review will clarify the mechanism of liver cell mitophagy in the development of MASLD and liver fibrosis, including in hepatocytes, macrophages, hepatic stellate cells, and liver sinusoidal endothelial cells. In addition, therapeutic strategies or compounds related to hepatic mitophagy are also summarized. In conclusion, mitophagy-related therapeutic strategies or compounds might be translational for the clinical treatment of MASLD and liver fibrosis.

Role of industry 4.0 technologies and human-machine interaction for de-carbonization of food supply chains

A decarbonized food supply chain ensures that we have access to safe, nutritious, and affordable food with a reduced carbon footprint. It not only helps in reducing greenhouse gas emissions but also enhances food security by making the supply chain more resilient to climate-related disruptions, ensuring stable food production for a growing global population. Further, there is an increasing consumer demand for sustainably produced food, and meeting this demand is crucial for maintaining relevance and competitiveness in the global market. Without a well-functioning decarbonized supply chain, it would be much harder for farmers, processors, distributors, and retailers to promote food security and improve public health. Decarbonization in the food supply chain is a complex process that requires a multifaceted approach, with the entire supply chain from farm to fork being examined. Technological advances such as Industry 4.0, with a human-centric solution, could be an answer. By combining the power of Industry 4.0 with decarbonization efforts, the creation of a more sustainable and efficient food supply chain can be promised. Hence, this study utilizes a mixed-method approach to examine the Indian food supply chain, and analyses the factors that motivate stakeholders to implement decarbonized technologies. It uses opinions from industry as well as from academic experts for employing integrated Analytic hierarchy process (AHP) and Interpretive structural modelling (ISM). AHP revealed that “International community pressure” is the most critical factor. Further, ISM is used to explain the interrelationships among the identified factors, providing a hierarchical model. These key findings can assist policymakers to develop and refine regulations. Further, it can also help stakeholders to make an informed decision while allocating resources towards new technologies.

Recent Advances in Microfluidics for the Early Detection of Plant Diseases in Vegetables, Fruits, and Grains Caused by Bacteria, Fungi, and Viruses.

In the context of global population growth expected in the future, enhancing the agri-food yield is crucial. Plant diseases significantly impact crop production and food security. Modern microfluidics offers a compact and convenient approach for detecting these defects. Although this field is still in its infancy and few comprehensive reviews have explored this topic, practical research has great potential. This paper reviews the principles, materials, and applications of microfluidic technology for detecting plant diseases caused by various pathogens. Its performance in realizing the separation, enrichment, and detection of different pathogens is discussed in depth to shed light on its prospects. With its versatile design, microfluidics has been developed for rapid, sensitive, and low-cost monitoring of plant diseases. Incorporating modules for separation, preconcentration, amplification, and detection enables the early detection of trace amounts of pathogens, enhancing crop security. Coupling with imaging systems, smart and digital devices are increasingly being reported as advanced solutions.

Attenuation of Nerve Agent Induced Neurodegenerative and Neuroinflammatory Changes in Rats with New Combination Treatment of Galantamine, Atropine and Midazolam.

Acute nerve agent exposure can kill a person within minutes or produce multiple neurotoxic effects and subsequent brain damage with potential long-term adverse outcomes. Recent abuse of nerve-agents on Syrian civilians, during Japan terrorist attacks, and personal assassinations in the UK, and Malaysia indicate their potential threat to world population. Existing nerve agent antidotes offer only incomplete protection especially, if the treatment is delayed. To develop the effective drugs, it is advantageous to elucidate the underlying mechanisms of nerve agent-induced multiple neurological impairments. This study aimed to investigate the molecular basis of neuroinflammation during nerve agent toxicity with focus on inflammasome-associated proteins and neurodegeneration. In rats, NOD-like receptor family pyrin domain containing 3 (NLRP3), and glial fibrillary acidic protein (GFAP) immunoreactivity levels were considerably increased in the hippocampus, piriform cortex, and amygdala areas after single subcutaneous soman exposure (90µg/kg-1). Western analysis indicated a notable increase in the neuroinflammatory indicator proteins, high mobility group box 1 (HMGB1) and inducible nitric oxide synthase (iNOS) levels. The presence of fluorojade-C-stained degenerating neurons in distinct rat brain areas is indicating the neurodegeneration during nerve agent toxicity. Pre-treatment with galantamine (3mg/kg, - 30min) followed by post-treatment of atropine (10mg/kg, i.m.) and midazolam (5mg/kg, i.m.), has completely protected animals from death induced by supra-lethal dose of soman (2XLD50) and reduced the neuroinflammatory and neurodegenerative changes. Results highlight that this new prophylactic and therapeutic drug combination might be an effective treatment option for soldiers deployed in conflict areas and first responders dealing with accidental/deliberate release of nerve agents.

Comprehensive analysis of resilience of human airway epithelial barrier against short-term PM2.5 inorganic dust exposure using invitro microfluidic chip and exvivo human airway models.

The updated World Health Organization (WHO) air quality guideline recommends an annual mean concentration of fine particulate matter (PM2.5) not exceeding 5 or 15 μg/m3 in the short-term (24 h) for no more than 3-4 days annually. However, more than 90% of the global population is currently exposed to daily concentrations surpassing these limits, especially during extreme weather conditions and due to transboundary dust transport influenced by climate change. Herein, the effect of respirable <PM2.5 inorganic silica particle exposures on epithelial barrier integrity was simultaneously evaluated within the biomimetic microfluidic platform-based airway epithelial barrier (AEB)-on-a-chip and human bronchoscopic exvivo airway tissue models, comparatively. Silica particles at an average size of 1 μm, referred to as <PM2.5, dose-dependently tested by MTT and LDH analyses. The elicited dose of 800 μg/mL was applied to human airway epithelial cells (Calu-3) seeded to the membrane at air-liquid interface in the AEB-on-a-chip platform, which is operated under static and dynamic conditions and to exvivo human bronchoscopy bronchial tissue slices for 72 h. For both models, healthy and exposed groups were comparatively investigated. Computational fluid dynamics simulations were performed to assess shear stress profiles under different flow conditions. Qualitative and quantitative analyses were carried out to evaluate the resilience of the epithelial barrier via cell survivability, morphology, barrier integrity, permeability, and inflammation. In the AEB-on-a-chip platform, short-term exposure to 800 μg/mL PM2.5 disrupted AEB integrity via increasing barrier permeability, decreasing cell adhesion-barrier markers such as ZO-1, Vinculin, ACE2, and CD31, impaired cell viability and increased the expression levels of proinflammatory markers; IFNs, IL-6, IL-1s, TNF-α, CD68, CD80, and Inos, mostly under dynamic conditions. Besides, decreased tissue viability, impaired tissue integrity via decreasing of Vinculin, ACE2, β-catenin, and E-cadherin, and also proinflammatory response with elevated CD68, IL-1α, IL-6, IFN-Ɣ, Inos, and CD80 markers, were observed after PM2.5 exposure in exvivo tissue. The duration and concentration of PM2.5 that can be exposed during extreme weather conditions and natural events aligns with our exposure model (0-800 μg/mL 72 h). At this level of exposure, the resilience of the epithelial barrier is demonstrated by both AEB-on-a-chip platform emulating dynamic forces in the body and exvivo bronchial biopsy slices. Lung-on-a-chip models will serve as reliable exposure models in this context.

The Assessment of Geriatric Depression Among Primary Healthcare Physicians in Buraidah City, Saudi Arabia.

The global geriatric population is increasing, leading to a higher prevalence of non-communicable diseases, including depression. This condition often remains underdiagnosed and untreated disease. A cross-sectional study was conducted among 130 primary healthcarephysicians (PCPs) in Buraidah to assess their practices in diagnosing geriatric depression from March 2023 to March 2024. After ethical committee approval, data were collected through a self-administered questionnaire, entered, cleaned, and analyzed with StatisticalPackage for the Social Sciences (IBMSPSSStatisticsforWindows,IBMCorp., Version 21.0, Armonk,NY). Informed consent was obtained and the confidentiality of the participant information was maintained.Statistical tests, including the Chi-square test, were used for inference. Out of 130 PCPs, 85.4% (n=111) were diagnosing depression during their clinical practice. The most common depression scale used in their regular practice was the patient health questionnaire (PHQ)-2(70%, n=91), followed by the Geriatric Depression Scale (53.8%, n=70). Nearly 26.2% (n=34) of physicians responded that there is no need for routine lab tests for the diagnosis of depression. Concerning the initial plan of depression management, nearly 76.2% (n=99) of physicians preferred non-pharmacological treatment. Regarding barriers to diagnosis of depression in elderly patients, nearly 76.2% (n=99) mentioned the need for more training about geriatric depression, followed by 70% for both short consultation time and the need for Ministry of Health guidelines. There was a statistically significant association observed between <35 years of age group and a preference for a high percentage of pharmacological therapy (P<0.05). Based on the findings of the study, there was a good number (85.4%) of PCPs diagnosing depression in their clinics, and also three-fourths of the physicians (76.2%) preferred non-pharmacological treatment. Only one-fourth (26.2%) of the PCPs mentioned no lab is required for the diagnosis of depression.

DETECTION OF LPG VEHICLES IN RISKY AREAS WITH COMPUTER VISION TECHNIQUES

Vehicle use is becoming more widespread day by day due to the world population growth. Within the scope of intelligent transportation systems, the information technologies sector and the transportation sector work in an integrated manner to solve the problems caused by the increasing number of vehicles. Data obtained with sensors and cameras are analyzed with artificial intelligence-based information technologies and used in autonomous vehicles, security, traffic management, navigation and passenger information systems. Computer vision enables machines to extract meaningful patterns and relationships from images by combining image processing and deep learning technologies. Computer vision techniques are applied in many fields such as tourism, health, industry, defense, transportation, service, e-commerce, etc. The applications developed provide solutions to various challenges in the transportation sector. For vehicles using Liquified Petroleum Gas (LPG) fuel, the gases in LPG tanks are flammable and pose a potential explosion hazard, especially in certain areas in cities. Entry of LPG vehicles is prohibited in institutions and organizations such as hospitals, shopping malls, hotels that have indoor parking services. The control method of the ban is carried out by assigning a personnel and checking the vehicle trunks. In this study, LPG fueled vehicles were automatically detected using computer vision techniques. Vehicle image data captured by mobile cameras in different provinces in Turkey were trained and compared with four different deep learning models. As a result of training and performance tests on the models, the YOLOv8 model was more effective than the other models with an accuracy of 0.994 mAP and a speed of 11.6 ms. It has been shown to be a stable model in terms of real-time monitoring in real life. It is envisaged that the developed system can contribute to the applications of computer vision techniques as well as benefit the national economy, public life safety and environmental protection.

Network analysis combined with experimental assessment to explore the therapeutic mechanisms of New Shenqi Pills formula targeting mitochondria on senile diabetes mellitus

BackgroundThe escalation of global population aging has accentuated the prominence of senile diabetes mellitus (SDM) as a consequential public health concern. Oxidative stress and chronic inflammatory cascades prevalent in individuals with senile diabetes significantly amplify disease progression and complication rates. Traditional Chinese Medicine (TCM) emerges as a pivotal player in enhancing blood sugar homeostasis and retarding complication onset in the clinical management of senile diabetes. Nonetheless, an evident research gap persists regarding the integration of TCM’s renal tonification pharmacological mechanisms with experimental validation within the realm of senile diabetes therapeutics.AimsThe objective of this study was to investigate the mechanisms of action of New Shenqi Pills (SQP) in the treatment of SDM and make an experimental assessment.MethodsNetwork analysis is used to evaluate target pathways related to SQP and SDM. Mitochondrial-related genes were obtained from the MitoCarta3.0 database and intersected with the common target genes of the disease and drugs, then constructing a protein-protein interaction (PPI) network making use of the GeneMANIA database. Representative compounds in the SQP were quantitatively measured using high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) to ensure quality control and quantitative analysis of the compounds. A type 2 diabetes mice (C57BL/6) model was used to investigate the pharmacodynamics of SQP. The glucose lowering efficacy of SQP was assessed through various metrics including body weight and fasting blood glucose (FBG). To elucidate the modulatory effects of SQP on pancreatic beta cell function, we measured oral glucose tolerance test (OGTT), insulin histochemical staining and tunel apoptosis detection, then assessed the insulin-mediated phosphoinositide 3-kinase (PI3K)/protein kinase A (Akt)/glycogen synthase kinase-3β (GSK-3β) pathway in diabetic mice via Western blotting. Additionally, we observe the structural changes of the nucleus, cytoplasmic granules and mitochondria of pancreatic islet β cells.ResultsIn this investigation, we identified a total of 1876 genes associated with senile diabetes, 278 targets of SQP, and 166 overlapping target genes, primarily enriched in pathways pertinent to oxidative stress response, peptide response, and oxygen level modulation. Moreover, an intersection analysis involving 1,136 human mitochondrial genes and comorbidity targets yielded 15 mitochondria-related therapeutic targets. Quality control assessments and quantitative analyses of SQP revealed the predominant presence of five compounds with elevated concentrations: Catalpol, Cinnamon Aldehyde, Rehmanthin D, Trigonelline, and Paeonol Phenol. Vivo experiments demonstrated notable findings. Relative to the control group, mice in the model group exhibited significant increases in body weight and fasting blood glucose levels, alongside decreased insulin secretion and heightened islet cell apoptosis. Moreover, β-cells nuclear condensation and mitochondrial cristae disappearance were observed, accompanied by reduced expression levels of p-GSK-3β protein in islet cells (p &amp;lt; 0.05 or p &amp;lt; 0.01). Conversely, treatment groups administered SQP and Rg displayed augmented expressions of the aforementioned protein markers (p &amp;lt; 0.05 or p &amp;lt; 0.01), alongside preserved mitochondrial cristae structure in islet β cells.ConclusionOur findings suggest that SQP can ameliorate diabetes by reducing islet cell apoptosis and resist oxidative stress. These insulin-mediated PI3K/AKT/GSK-3β pathway plays an important regulatory role in this process.

The prevalence and risk of mortality associated with intradialytic hypertension among patients with end-stage kidney disease on haemodialysis: A systematic review and meta-analysis.

Intradialytic hypertension (IDHTN) is a common but less frequently recognised complication of haemodialysis. However, it is associated with increased overall mortality in patients on haemodialysis. This systematic review and meta-analysis aimed to determine the prevalence of IDHTN and associated mortality risk in the global haemodialysis population. A systematic search of PubMed and EMBASE was undertaken to identify articles with relevant data published between 1990 and 2023. The pooled prevalence of IDHTN in the global haemodialysis population was determined using the DerSimonian-Laird random-effects meta-analysis. The pooled hazards ratio for mortality in patients with IDHTN was also computed from the studies that reported mortality among haemodialysis patients with IDHTN. The study protocol was registered with PROSPERO (CRD42023388278). Thirty-two articles from 17 countries were included, with a pooled population of 127,080 hemodialysis patients (median age 55.1 years, 38.2% females). Most studies had medium methodological quality (53.1%, n = 17). The overall pooled prevalence of IDHTN was 26.6% [(95% CI 20.2-33.4%), n = 27 studies, I2 = 99.3%, p<0.001 for heterogeneity], with significant differences depending on the definition used. The pooled proportion of haemodialysis sessions with IDHTN was 19.9% [(95% 12.5-28.6%, n = 8 studies, I2 = 99.3%, p<0.001 for heterogeneity)] with significant differences across the different definition criteria. The p-value for the Begg test was 0.85. The median pre-dialysis blood pressure was not significantly associated with IDHTN. The pooled hazard ratio for mortality was 1.37 (95% CI 1.09-1.65), n = 5 studies, I2 = 13.7%, and p-value for heterogeneity = 0.33. The prevalence of IDHTN is high and varies widely according to the definition used. A consensus definition of IDHTN is needed to promote uniformity in research and management. The increased mortality risk forecasted by IDHTN highlights the need for optimal blood pressure control in patients on hemodialysis.

A review of the WHO strategy on traditional, complementary, and integrative medicine from the perspective of academic consortia for integrative medicine and health.

Despite important progress in modern medicine, widely regarded as an indispensable foundation of healthcare in all highly advanced nations and regions, not all patients respond well to available treatments in biomedicine alone. Additionally, there are concerns about side effects of many medications and interventions, the unsustainable cost of healthcare and the low resolution of chronic non-communicable diseases and mental disorders whose incidence has risen in the last decades. Besides, the chronic stress and burnout of many healthcare professionals impairs the therapeutic relationship. These circumstances call for a change in the current paradigm and practices of biomedicine healthcare. Most of the world population (80%) uses some form of traditional, complementary, and integrative medicine (T&CM), usually alongside biomedicine. Patients seem equally satisfied with biomedicine and T&CM, but in the field of T&CM there are also many challenges, such as unsupported claims for safety and/or efficacy, contamination of herbal medicines and problems with regulation and quality standards. As biomedicine and T&CM seem to have different strengths and weaknesses, integration of both approaches may be beneficial. Indeed, WHO has repeatedly called upon member states to work on the integration of T&CM into healthcare systems. Integrative medicine (IM) is an approach that offers a paradigm for doing so. It combines the best of both worlds (biomedicine and T&CM), based on evidence for efficacy and safety, adopting a holistic personalized approach, focused on health. In the last decades academic health centers are increasingly supportive of IM, as evidenced by the foundation of national academic consortia for integrative medicine in Brazil (2017), the Netherlands (2018), and Germany (2024) besides the pioneering American consortium (1998). However, the integration process is slow and sometimes met with criticism and even hostility. The WHO T&CM strategies (2002-2005 and 2014-2023) have provided incipient guidance on the integration process, but several challenges are yet to be addressed. This policy review proposes several possible solutions, including the establishment of a global matrix of academic consortia for IM, to update and extend the WHO T&CM strategy, that is currently under review.

The circular bioeconomy: a driver for system integration

BackgroundHuman and earth system modeling, traditionally centered on the interplay between the energy system and the atmosphere, are facing a paradigm shift. The Intergovernmental Panel on Climate Change’s mandate for comprehensive, cross-sectoral climate action emphasizes avoiding the vulnerabilities of narrow sectoral approaches. Our study explores the circular bioeconomy, highlighting the intricate interconnections among agriculture, forestry, aquaculture, technological advancements, and ecological recycling. Collectively, these sectors play a pivotal role in supplying essential resources to meet the food, material, and energy needs of a growing global population. We pose the pertinent question of what it takes to integrate these multifaceted sectors into a new era of holistic systems thinking and planning.ResultsThe foundation for discussion is provided by a novel graphical representation encompassing statistical data on food, materials, energy flows, and circularity. This representation aids in constructing an inventory of technological advancements and climate actions that have the potential to significantly reshape the structure and scale of the economic metabolism in the coming decades. In this context, the three dominant mega-trends—population dynamics, economic developments, and the climate crisis—compel us to address the potential consequences of the identified actions, all of which fall under the four categories of substitution, efficiency, sufficiency, and reliability measures. Substitution and efficiency measures currently dominate systems modeling. Including novel bio-based processes and circularity aspects might require only expanded system boundaries. Conversely, paradigm shifts in systems engineering are expected to center on sufficiency and reliability actions. Effectively assessing the impact of sufficiency measures will necessitate substantial progress in inter- and transdisciplinary collaboration, primarily due to their non-technological nature. In addition, placing emphasis on modeling the reliability and resilience of transformation pathways represents a distinct and emerging frontier that highlights the significance of an integrated network of networks.ConclusionsExisting and emerging circular bioeconomy practices can serve as prime examples of system integration. These practices facilitate the interconnection of complex biomass supply chain networks with other networks encompassing feedstock-independent renewable power, hydrogen, CO2, water, and other biotic, abiotic, and intangible resources. Elevating the prominence of these connectors will empower policymakers to steer the amplification of synergies and mitigation of tradeoffs among systems, sectors, and goals.