Diabetes Disease Research Articles

Health-Improving Effects of Polyphenols on the Human Intestinal Microbiota: A Review

Dietary polyphenols are garnering attention in the scientific community due to their potential health-beneficial properties and preventative effects against chronic diseases, viz. cardiovascular diseases, diabetes, obesity, and neurodegenerative diseases. Polyphenols are antioxidants that change microbial composition by suppressing pathogenic bacteria and stimulating beneficial bacteria. The interaction of polyphenols with dietary fibers affects their bioaccessibility in the upper and lower parts of the digestive tract. Dietary fibers, polyphenols, their conjugates, and their metabolites modulate microbiome population and diversity. Consuming polyphenol-rich dietary fibers such as pomegranate, cranberry, berries, and tea improves gut health. A complex relationship exists between polyphenol-rich diets and gut microbiota for functioning in human health. In this review, we provide an overview of the interactions of dietary polyphenols, fibers, and gut microbiota, improving the understanding of the functional properties of dietary polyphenols.

Identification of Clusters in a Population With Obesity Using Machine Learning: Secondary Analysis of The Maastricht Study.

Modern lifestyle risk factors, like physical inactivity and poor nutrition, contribute to rising rates of obesity and chronic diseases like type 2 diabetes and heart disease. Particularly personalized interventions have been shown to be effective for long-term behavior change. Machine learning can be used to uncover insights without predefined hypotheses, revealing complex relationships and distinct population clusters. New data-driven approaches, such as the factor probabilistic distance clustering algorithm, provide opportunities to identify potentially meaningful clusters within large and complex datasets. This study aimed to identify potential clusters and relevant variables among individuals with obesity using a data-driven and hypothesis-free machine learning approach. We used cross-sectional data from individuals with abdominal obesity from The Maastricht Study. Data (2971 variables) included demographics, lifestyle, biomedical aspects, advanced phenotyping, and social factors (cohort 2010). The factor probabilistic distance clustering algorithm was applied in order to detect clusters within this high-dimensional data. To identify a subset of distinct, minimally redundant, predictive variables, we used the statistically equivalent signature algorithm. To describe the clusters, we applied measures of central tendency and variability, and we assessed the distinctiveness of the clusters through the emerged variables using the F test for continuous variables and the chi-square test for categorical variables at a confidence level of α=.001. We identified 3 distinct clusters (including 4128/9188, 44.93% of all data points) among individuals with obesity (n=4128). The most significant continuous variable for distinguishing cluster 1 (n=1458) from clusters 2 and 3 combined (n=2670) was the lower energy intake (mean 1684, SD 393 kcal/day vs mean 2358, SD 635 kcal/day; P<.001). The most significant categorical variable was occupation (P<.001). A significantly higher proportion (1236/1458, 84.77%) in cluster 1 did not work compared to clusters 2 and 3 combined (1486/2670, 55.66%; P<.001). For cluster 2 (n=1521), the most significant continuous variable was a higher energy intake (mean 2755, SD 506.2 kcal/day vs mean 1749, SD 375 kcal/day; P<.001). The most significant categorical variable was sex (P<.001). A significantly higher proportion (997/1521, 65.55%) in cluster 2 were male compared to the other 2 clusters (885/2607, 33.95%; P<.001). For cluster 3 (n=1149), the most significant continuous variable was overall higher cognitive functioning (mean 0.2349, SD 0.5702 vs mean -0.3088, SD 0.7212; P<.001), and educational level was the most significant categorical variable (P<.001). A significantly higher proportion (475/1149, 41.34%) in cluster 3 received higher vocational or university education in comparison to clusters 1 and 2 combined (729/2979, 24.47%; P<.001). This study demonstrates that a hypothesis-free and fully data-driven approach can be used to identify distinguishable participant clusters in large and complex datasets and find relevant variables that differ within populations with obesity.

Autoantibodies in myasthenia gravis: cluster analysis and clinical correlations

ObjectiveThis study aimed to explore autoantibody clusters and their correlations with clinical features in 644 myasthenia gravis (MG) patients.MethodsMedical records of 664 MG patients were reviewed. Five autoantibodies (AChR, MuSK, titin, RyR, and LRP4) were selected for cluster analysis. The various clinical manifestations were compared between clusters. Separate association analyses between individual autoantibodies and clinical manifestations as well as among different MGFA subtypes were also performed without prior clustering.ResultsTwo separate autoantibody clusters were identified, with significantly different clinical manifestations. Cluster 1 (485 patients) was characterized by higher proportions of RyR-, titin-, and AChR-, while cluster 2 (179 patients) had higher proportions of RyR+, titin+, and AChR+. Cluster 2 patients were older and had elevated QMG scores and odds of complications, particularly hypertension, diabetes, cardiovascular and cerebrovascular diseases, and eye conditions. Individual antibody analysis revealed that male cases were more likely to be AChR+ and titin+, and older age was associated with AChR+, RyR+, and titin+. Among MGFA subtypes, significant differences were detected in AChR, MuSK, titin, complications, thymoma, and hypertension. As MG severity increased from types I to V, AChR+, RyR+, and titin+ proportions peaked at stage IIa. MuSK+ patients were relatively rare and mostly present in the subtype b group. Type b patients had higher MuSK+ prevalence and increased cardiovascular and cerebrovascular disease incidence rates than type a cases.ConclusionOverall, cluster 2 features were less favorable to patients. This study provides valuable insights into the clinical and autoantibody profiles of Chinese MG patients.

Transcription Factor Blimp-1: A Central Regulator of Oxidative Stress and Metabolic Reprogramming in Chronic Inflammatory Diseases

B-lymphocyte-induced maturation protein 1 (Blimp-1) is a transcription factor that, among other functions, modulates metabolism and helps to regulate antioxidant pathways, which is important in the context of chronic inflammatory diseases like diabetes, cardiovascular disease, and autoimmune disease. In immune cell function, Blimp-1 has a modulatory role in the orchestration of metabolic reprogramming and as a promoter of anti-inflammatory cytokines, including IL-10, responsible for modulating oxidative stress and immune homeostasis. Moreover, Blimp-1 also modulates key metabolic aspects, such as glycolysis and fatty acid oxidation, which regulate reactive oxygen species levels, as well as tissue protection. This review depicts Blimp-1 as an important regulator of antioxidant defenses and anti-inflammation and suggests that the protein could serve as a therapeutic target in chronic inflammatory and metabolic dysregulation conditions. The modulation of Blimp-1 in diseases such as diabetic coronary heart disease and atherosclerosis could alleviate oxidative stress, augment the protection of tissues, and improve disease outcomes. The therapeutic potential for the development of new treatments for these chronic conditions lies in the synergy between the regulation of Blimp-1 and antioxidant therapies, which are future directions that may be pursued. This review emphasizes Blimp-1’s emerging importance as a novel regulator in the pathogenesis of inflammatory diseases, providing new opportunities for therapeutic intervention.

Epigenetic regulation in female reproduction: the impact of m6A on maternal-fetal health.

With the development of public health, female diseases have become the focus of current concern. The unique reproductive anatomy of women leads to the development of gynecological diseases gradually become an important part of the socio-economic burden. Epigenetics plays an irreplaceable role in gynecologic diseases. As an important mRNA modification, m6A is involved in the maturation of ovum cells and maternal-fetal microenvironment. At present, researchers have found that m6A is involved in the regulation of gestational diabetes and other reproductive system diseases, but the specific mechanism is not clear. In this manuscript, we summarize the components of m6A, the biological function of m6A, the progression of m6A in the maternal-fetal microenvironment and a variety of gynecological diseases as well as the progression of targeted m6A treatment-related diseases, providing a new perspective for clinical treatment-related diseases.

Modulating Polyphenol Activity with Metal Ions: Insights into Dermatological Applications

Background: The skin represents the first barrier of defense, and its integrity is crucial for overall health. Skin wounds present a considerable risk seeing how their progression is rapid and sometimes they are caused by comorbidities like diabetes and venous diseases. Nutraceutical combinations like the ones between polyphenols and metal ions present considerable applications thanks to their increased bioavailability and their ability to modulate intrinsic molecular pathways. Methods: The research findings presented in this paper are based on a systematic review of the current literature with an emphasis on nanotechnology and regenerative medicine strategies that incorporate polyphenols and metallic nanoparticles (NPs). The key studies which described the action mechanisms, efficacy, and safety of these hybrid formulations were reviewed. Results: Nanocomposites of polyphenol and metal promote healing by activating signaling pathways such as PI3K/Akt and ERK1/2, which in turn improve fibroblast migration and proliferation. Nanoparticles of silver and copper have antibacterial, angiogenesis-promoting, inflammation-modulating capabilities. With their ability to induce apoptosis and restrict cell growth, these composites have the potential to cure skin malignancies in addition to facilitating wound healing. Conclusions: Nanocomposites of polyphenols and metals provide hope for the treatment of cancer and chronic wounds. Their antimicrobial capabilities, capacity to modulate inflammatory responses, and enhancement of fibroblast activity all point to their medicinal potential. Furthermore, these composites have the ability to decrease inflammation associated with tumors while simultaneously inducing cell death in cancer cells. Clarifying their mechanisms, guaranteeing stability, and enhancing effective delivery techniques for clinical usage should be the focus of future studies.

Role of Ayurveda Medicine in the management of Pakshaghata vis a vis Hemiplegia

Pakshaghata (Hemiplegia) is caused due to Vikruta Vata Dosha which is characterized mainly loss or altered motor and sensory activity in one side of the body. Onset of the disease is usually insidious. According to modern literature it is usually caused due to either cerebral haemorrhage or cerebral thrombosis. Cerebral thrombosis cases show insidious onset and cerebral haemorrhage patients will be having sudden onset. Severe malignant hypertension, cerebral arterial atherosclerosis usually induces this disease. Severe hypertension causes aneurysm and rupture of one of the cerebral arteries and results in sudden Hemiplegia. Hemiplegia may be contrilateral or ipsilateral. After recovery from acute illness like altered sensorium or coma, Ayurveda or integrative treatment can be given, controlling comorbidities like Diabetes, Hypertension or Ischemic heart disease, Ayurveda medicines are given. Medicines having the actions like Medhya, Nadibalya, Rasayana, Vatahara, CNS stimulators, Anti-hypertensive, Pramehahara, Anti atherogenic, Thrombolytic, Anti platelet aggregating, Jeevaniya, Ojaskara, Vayasthapana, Anti stress adaptogenic, Hypochloestremic, Mala Vatanulomana, Virechana, Snehana (Taila Abhyanga), Swedana (Shasthika Shali Pinda Sweda) are given in these patients. The present paper highlights the role of Ayurveda and Integrative medicine in the management of Pakshaghata vis a vis Hemiplegia.

Determinants of Non-Communicable Diseases among Urban Low-Income Populations

ABSTRACT Background: Non-communicable diseases (NCDs), including cardiovascular diseases, diabetes, cancer, and chronic respiratory diseases, have emerged as significant health challenges among urban low-income populations. Materials and Methods: A cross-sectional study was conducted among 500 adults residing in urban low-income areas across three metropolitan cities. Data were collected through structured interviews and health screenings. Key variables assessed included dietary patterns, physical activity levels, smoking habits, alcohol consumption, body mass index (BMI), and blood pressure measurements. Statistical analysis was performed using logistic regression to determine the association between lifestyle factors and the presence of NCDs, with adjustments made for confounding factors such as age, gender, and education level. Results: Of the 500 participants, 47% were diagnosed with at least one NCD. A significant association was observed between a high BMI and the likelihood of developing NCDs (OR = 2.1, 95% CI: 1.4–3.1, P &lt; 0.01). Poor dietary habits, particularly a high intake of processed foods, were prevalent in 62% of participants and were strongly correlated with NCD prevalence (OR = 1.8, 95% CI: 1.2–2.5, P &lt; 0.05). Physical inactivity was reported by 55% of participants, further correlating with increased NCD risk (OR = 1.5, 95% CI: 1.0–2.2, P = 0.03). Smoking and alcohol consumption were also identified as significant risk factors. Conclusion: Interventions focusing on improving access to affordable healthy foods, promoting physical activity, and providing smoking and alcohol cessation support could play a crucial role in reducing NCD prevalence in these communities.

Next-Generation Oral Ulcer Management: Integrating Cold Atmospheric Plasma (CAP) with Nanogel-Based Pharmaceuticals for Inflammation Regulation.

Oral ulcers, affecting 27.9% of adults, can lead to malnutrition and dehydration, especially in individuals with diabetes, cancer, viral infections, and autoimmune diseases. Existing treatments-including oral films, sprays, frosts, and powders-often fail to be effective due to rapid dilution and clearance in the moist oral environment. This study is the first to investigate the use of Cold Atmospheric Plasma (CAP) for treating oral ulcers and its underlying molecular mechanisms. A novel high-bioavailability, mucoadhesive therapy combining handheld three dimensions (3D) multi-microhole CAP is developed with a nanogel-based pharmaceutical system containing glucose oxidase (GOx) and catalase (CAT), termed GCN. These results showed that both CAP alone and CAP combined with GCN significantly accelerate oral ulcer healing, modulate immune responses, and activate the Epidermal Growth Factor Receptor (EGFR) in acetic acid-induced oral ulcers, outperforming untreated controls and the conventional medication, Watermelon Frost (WF). Furthermore, the CAP+GCN combination enhances therapeutic effects by promoting fibroblast generation. CAP pretreatment also enhances cell permeability and nanoparticle uptake, improving tissue adhesion. These findings are validated in primary Human Gingival Fibroblasts (HGF) and Human Periodontal Ligament Stem Cells (PDLSC) from healthy donors, as well as an oral ulcer model in rats, demonstrating superior biocompatibility and safety.

The Multifaceted Chemistry Of Chili Peppers: A Biodiversity Treasure For Nutrition And Biomedicine.

Chili pepper (Ch-p), a spice-utilizing fruit, is rich in natural medicinally bioactive compounds, such as flavonoids, capsaicinoids, and many other phytochemicals and phytonutrients. Operating in synergy and consortium, these compounds demonstrate their functionality, in comparison to lonely treatment, as active agents in handling many disorders. These may include abnormal coagulation, oxidative stress, obesity, diabetes, inflammation, cancer, and microbe-inducing diseases. Recently, capsaicinoids, particularly capsaicin, have been shown to manage the symptoms of significant viral diseases, including COVID-19. Capsaicin also has the potential to be an effective anesthetic agent and enables Ch-p to be expandedly employed as a topical preparation in relieving pain as well. The phytochemicals of Ch-p are not only beneficial and inexpensive phyto-alternatives in disease management, but they can also be used as scaffolds for the production of novel medicines. The study also substantiates the role of the TRPV1 receptor in the mitigation of chronic diseases in conjunction with capsaicin.The nutritional and biomedical prospection of Ch-p-derived products has been addressed in an accessible format in this artifact, with the potential to precisely enhance and enrich our pharmaceutical industries in the pursuit of human well-being.

Proteome-Wide Mendelian Randomization Identifies Therapeutic Targets for Abdominal Aortic Aneurysm.

The proteome is a key source of therapeutic targets. We conducted a comprehensive Mendelian randomization analysis across the proteome to identify potential protein markers and therapeutic targets for abdominal aortic aneurysm (AAA). Our study used plasma proteomics data from the UK Biobank, comprising 2923 proteins from 54 219 individuals, and from deCODE Genetics, which measured 4907 proteins across 35 559 individuals. Significant proteomic quantitative trait loci were used as instruments for Mendelian randomization. Genetic associations with AAA were sourced from the AAAgen consortium, a large-scale genome-wide association study meta-analysis involving 37 214 cases and 1 086 107 controls, and the FinnGen study, which included 3869 cases and 381 977 controls. Sequential analyses of colocalization and summary-data-based Mendelian randomization were performed to verify the causal roles of candidate proteins. Additionally, single-cell expression analysis, protein-protein interaction network analysis, pathway enrichment analysis, and druggability assessments were conducted to identify cell types with enriched expression and prioritize potential therapeutic targets. The proteome-wide Mendelian randomization analysis identified 34 proteins associated with AAA risk. Among them, 2 proteins, COL6A3 and PRKD2, were highlighted by colocalization analysis, summary-data-based Mendelian randomization, and the heterogeneity in an independent instrument test, providing the most convincing evidence. These protein-coding genes are primarily expressed in macrophages, smooth muscle cells, and mast cells within abdominal aortic aneurysm tissue. Several causal proteins are involved in pathways regulating lipid metabolism, immune responses, and extracellular matrix organization. Nine proteins have already been targeted for drug development in diabetes and other cardiovascular diseases, presenting opportunities for repurposing as AAA therapeutic targets. This study identifies causal proteins for AAA, enhancing our understanding of its molecular cause and advancing the development of therapeutics.

Multi-criterion modeling in the conditions of non-homogeneous data uncertainty in the V. Skalozub papers

The problems of solving multi-criteria modeling tasks in conditions of heterogeneous data uncertainty are characteristic and relevant for many areas, in particular, transport and logistics, medical, and economic. This paper summarizes the approaches to solving these ar-eas tasks, including cases for data obtained during monitoring with uneven and unclear inter-vals. All the considered approaches were created under the guidance and with the direct par-ticipation of prof. Skalozub V. V. The author's team, with his participation, illustrated exam-ples of the use of models in the tasks of organizing multi-symbol sequences in transport (for-mation-dismantling of trains, order processing) and in the analysis and forecasting of states/events based on data on diabetes diseases. In this paper, the main approaches to modeling in conditions of heterogeneous data un-certainty based on multi-layer constructive-synthesizing, separable and relational-separable models are highlighted. Multi-layer constructive-synthesizing became new branch of develop constructive-synthesizing modeling. Their practical value currently lies in the possibility of obtaining a new form of implementation of the specified technological processes of railway transport. In the future, they can be applied to tasks that require step-by-step data processing with a clear demarcation of the relevant operations. The obtained results can be used for further development of the proposed ideas and ap-proaches. It is promising to develop the identified approaches, including by combining them, as well as supplementing constructive-production models with a formalized description of con-structive elements, including input data, by ontological means. The paper contains information about the figure and scientific work of V. Skalozub.

WCN25-1222 The spectrum of Nondiabetic Renal Disease in Diabetes

WCN25-1222 The spectrum of Nondiabetic Renal Disease in Diabetes

Positive association of large alcohol intake per occasion with vision-threatening severe diabetic retinopathy or diabetic macular edema in Japanese men with type 2 diabetes.

Differing from the overall consumption of alcohol, whether consuming large quantities of alcohol per drinking occasion is associated with higher risk of developing severe diabetic retinopathy remains unknown. We examined whether the quantity per drinking occasion (QPO), including a large QPO, and the combinations of the frequency of alcohol consumption (FAC) and QPO were associated with higher risk of developing severe diabetic retinopathy or diabetic macular edema (DME) using adjusted Cox models. Severe diabetic retinopathy or DME was designated as a vision-threatening treatment-required diabetic eye disease (TRDED). For each man with type 2 diabetes who participated in this longitudinal retrospective cohort study, the date of the earliest health check-up during the inclusion period (April 2008 to August 2016) was set as the start date of follow-up. A TRDED was observed in 425 of 21,392 Japanese men aged 22-74years with type 2 diabetes during a mean follow-up of 4.3years (4.6/1000 person-years). Multivariable Cox analysis showed that a large QPO, defined as drinking three drinks or more per occasion, in low- (hazard ratio [HR], 4.76; 95% CI, 2.06-10.97), intermediate- (HR, 1.58; 95%CI, 1.001-2.50), and high-frequency categories (HR, 2.01; 95% CI, 1.20-3.36) was significantly associated with elevated risks of TRDED. In addition to the total amount of ethanol, these findings imply the necessity of avoiding the consumption of large amounts of alcohol on a single occasion to prevent severe diabetic retinopathy or DME.

Smoking and Obesity Interact to Adversely Affect Disease Progression and Cognitive Performance in Multiple Sclerosis.

Smoking and obesity interact to exacerbate the risk of hypertension, diabetes, and cardiovascular disease, but their potential synergistic effects on outcomes in multiple sclerosis (MS) have not been well studied. We aimed to study whether smoking and obesity interact to affect disease progression and cognitive function in patients with MS. Incident cases from the population-based case-control study Epidemiological Investigation of MS (EIMS) were categorized by smoking and obesity status at diagnosis and followed up to 15 years postdiagnosis through the Swedish MS registry (n = 3336). Cox regression was used to analyze outcomes, including clinical disease worsening (CDW), progression to Expanded Disability Status Scale (EDSS) levels 3 and 4, physical worsening as measured by a 7.5-point increase in the MS Impact Scale (MSIS) physical score, and cognitive decline, defined as an 8-point or greater reduction on the Symbol Digit Modalities Test (SDMT). Interaction effects on the additive scale were assessed by combining dichotomous variables for smoking (nonsmoker = 0, smoker = 1) and obesity (nonobese = 0, obese = 1), yielding four categories: 0/0 (reference category), 0/1, 1/0, and 1/1. Additive interactions between smoking and obesity were identified for CDW (attributable proportion due to interaction [AP] 0.18, 95% CI 0.03-0.30), progression to EDSS 4 (AP 0.18, 95% CI 0.08-0.26), MSIS-Physical score worsening (AP 0.32, 95% CI 0.21-0.42), and cognitive decline (AP 0.27, 95% CI 0.19-0.35). Smoking and obesity appear to synergistically worsen MS progression and cognitive functioning, with the observed additive interactions across most outcomes suggesting that these factors partly share common biological pathways contributing to disease progression.

Assessment of the In Vitro Biological Activities of Schiff Base-Synthesized Copper Oxide Nanoparticles as an Anti-Diabetic, Anti-Alzheimer, and Anti-Cancer Agent

Background/Objectives: Numerous diseases such as diabetes, Alzheimer’s disease, and cancer have spread in the whole world, especially in the Arab world. Also, various applications of Schiff-base functionalized nanoparticles and copper oxide nanoparticles (CuO-NPs) such as therapeutic applications have been discovered. Thus, the current research highlights (i) the synthesis of copper oxide nanoparticles (CuO-NPs) produced with a Schiff base (SB) serving as a capping agent during their synthesis and (ii) assessment of the in vitro biological activities of Schiff base-synthesized copper oxide nanoparticles (SB-CuO-NPs) and a Schiff base (SB). Methods: SB-CuO-NPs were characterized using ultraviolet-visible (UV-Vis) spectroscopy, zeta potential, DLS analysis, and transmission electron microscope (TEM). It also focuses on assessing the in vitro biological applications and activities, including antioxidant, scavenging, anti-diabetic, anti-Alzheimer, anti-arthritic, anti-inflammatory, cytotoxic activities, and enzymes inhibitory potential, of Schiff base-synthesized copper oxide nanoparticles (SB-CuO-NPs) and a Schiff base (SB) using methods described in the literature. Results: The results of the biological activities of the SB-CuO-NPs were compared with those of the SB. The SB-CuO-NPs demonstrated superior in vitro biological activities when compared to the SB from which they were produced. Conclusions: The results of this investigation concluded that the CuO-NPs, synthesized with the SB serving as an alternative capping agent, exhibited enhanced biological efficacy relative to the original SB. In the future, the biological efficiency of SB-CuO-NPs against diabetes, Alzheimer’s, and cancer diseases will be assessed in experimental animals (in vivo).

Prediction of Different Risk Factors in Relation to Hyperlipidemia Using Framingham Risk Score and Cholesterol Risk Score in a Tertiary Care Hospital.

A condition that affects the circulatory system of the human body is referred to as a cardiovascular disease (CVD). Cardiovascular diseases (CVDs) are responsible for a significant number of fatalities globally. Annually, CVDs result in the demise of 17.9 million people, which accounts for 31% of all fatalities on a global scale. The objective of the study was to assess the demographic profile of diabetic and nondiabetic patients suffering from cardiovascular disease. The aim of the study is to predict risk factors in relation to hyperlipidaemia using two different scales, the Framingham Risk Scale (FRS) and the Cholesterol Risk Calculator (CRC), and to determine the frequency of hypercholesterolemia in relation to CVD. A cross-sectional study was conducted in Guru Gobind Singh Medical College and Hospital, Punjab, India. The mean age of patients was found to be M= (51.23), SD= (9.348) years, and among 331 patients (52.6%) were female patients. The mean of Framingham Risk Score was found to be (29.07%). The Framingham Risk Score was found significant with gender and calorie intake below the recommended dietary allowances of the patient (p=0.001). The Framingham Risk Score was found significant with physical activity and employment status of the patients (p= 0.001). In linear regression, the Framingham Risk Score was found significant with the lipid profile of the patients (p=0.001) i.e., the higher the value of cholesterol level, the higher the Framingham Risk Score. The chi-square test showed a significant relation between Cholesterol Risk Score and employment status, physical activity, calorie intake, gender, and occupation of the patients (p=0.001, p=0.001, p=0.001, p=0.004) respectively. The present study demonstrated that patients with high Framingham risk score and cholesterol risk score are at increased risk of diabetes and cardiovascular disease. The present study concludes that the FRS is higher in patients below RDA, patients doing low physical activity, and sedentary workers. In order to provide proper assistance and counselling, healthcare professionals must continuously analyze each patient's risk factor for CVD and barriers to healthy and preventive behaviors. There is a lack of comprehensive studies comparing the effectiveness of the Framingham Risk Score and Cholesterol Risk Score in predicting hyperlipidemia and associated cardiovascular risks within the context of a tertiary care hospital setting.

Association of chronic pain with incidence and progression of cardiometabolic multimorbidity in middle-aged and older populations: a multicohort study.

Chronic pain is associated with single cardiometabolic diseases (CMDs). Less is known about the association of chronic pain with the co-occurrence of multiple CMDs, known as cardiometabolic multimorbidity (CMM). This study aims to examine the association between chronic pain and incidence of CMM and if it existed, to what extent chronic pain relates to the progression of specific CMD-related multimorbidity (MM). We pooled individual-level data of 59,134 participants from 4 cohort studies across 18 countries between 2010 and 2020. Participants aged 45 years or older, free of CMDs (diabetes, heart diseases, and stroke), and with self-reported chronic pain status at baseline were included. Multinomial logistic regression was performed on the association of chronic pain with incident CMM and the progression of specific CMD-related MM. One-third (21,204) of participants reported chronic pain at baseline. After 8 to 9 years, 1344 (2.3%) developed CMM. Chronic pain was associated with the onset of each CMD (odds ratio [OR] range 1.12-1.37) and CMM combinations (OR range 1.57-2.09). It is also linked with the increased odds of more CMDs (1, 2, and 3) during the follow-up. For example, OR increased from 1.31 for individuals with one CMD, to 1.57 for those with 2 CMDs, to 2.09 for those with 3 CMDs. Chronic pain was also associated with developing all CMD-related MM (OR range 1.26-1.88). Compared with those with diabetes only, participants with chronic pain were more likely to progress to diabetes and heart diseases, as well as diabetes, heart diseases, and stroke. Chronic pain is associated with incidence and progression of CMM, whose management should be considered in primary and secondary prevention of CMM among middle-aged and older populations.

Phytochemical Profile and Biological Activities of the Endemic Thymbra nabateorum Occurring in AlUla County, South-West Saudi Arabia

Thymbra nabateorum, a plant species from the Lamiaceae family, is endemic to the Nabatian region, which spans southern Jordan and northwestern Saudi Arabia. It is renowned for its traditional uses and rich phytochemical profile. This study aims to examine the phytochemical composition of T. nabateorum and evaluate its biological activities, including antioxidant capacity, cytotoxic effects on cancer cell lines, and enzyme inhibition relevant to diabetes and neurodegenerative diseases. The essential oil (EO) and methanol extract of T. nabateorum were analyzed using Gas Chromatography–Mass Spectrometry (GC-MS) and High-Performance Liquid Chromatography (HPLC). Antioxidant activity was assessed using the DPPH radical scavenging assay. Cytotoxicity was evaluated against MDA-MB231 and LNCaP cancer cell lines using the MTT assay. Enzyme inhibition assays were conducted to determine the inhibitory effects on α-amylase, α-glucosidase, and butyrylcholinesterase. GC-MS analysis revealed thymol (82.30%) as the major component of the essential oil, while HPLC identified significant phenolic compounds in the methanol extract, including diosmin (118.75 mg/g) and hesperidin (22.18 mg/g). The DPPH assay demonstrated strong antioxidant activity, with the methanol extract showing an IC50 of 11.97 μg/mL for α-amylase and 31.99 μg/mL for α-glucosidase, indicating notable antidiabetic potential. Cytotoxicity tests revealed significant antiproliferative effects against both cancer cell lines, with lower IC50 values compared to standard treatments. T. nabateorum exhibits substantial antioxidant, cytotoxic, and enzyme inhibition activities, supporting its traditional medicinal uses. These findings provide a scientific basis for further research into its bioactive compounds and potential applications in modern pharmacology, particularly in developing natural therapeutic agents for oxidative stress-related diseases and cancer.

Experimental and calculation study of co-delivery of insulin and nitric oxide carriers for diabetes and cardiovascular diseases

Experimental and calculation study of co-delivery of insulin and nitric oxide carriers for diabetes and cardiovascular diseases