Core-shell (polyethylene glycol/silk) scaffold containing microfluidic synthesis of curcumin loaded chitosan nanoparticles as a wound healing agent in animal full-thickness injuries.

Wounds refer to physical injuries in which the integrity of the skin or other body organs is disturbed. Wound care includes proper management and treatment of the injuries to promote healing while avoiding infection. Here, a core-shell scaffold is developed comprising polyethylene glycol/silk fibroin-chitosan nanoparticles loaded with curcumin. Chitosan nanoparticles and PEG/Silk fibrous scaffold were synthesized by a microfluidic system and electrospinning technique, respectively. TEM, DLS, and FTIR techniques were used to examine the nanoparticles; whereas nanofibers were characterized by SEM, TEM, and FTIR. Drug loading and release from nanoparticles and scaffolds were assessed by optical spectroscopy. MTT assay and hemolysis test were performed to examine the toxicity of the scaffolds. The hydrophobicity or hydrophilicity of nanofibers was explored by the contact angle test. Scaffolds were examined on the full-thickness wound created on Wistar rats, followed by histological analyses and coagulation tests. The results of FTIR, TEM, and SEM indicated the proper distribution of nanoparticles and core-shell scaffold. The drug loading was about 3 %. About 80 % of the drug was released in the first 7 days. Scaffolds showed hydrophobic properties (114.63° ± 3.6) with no cytotoxicity. The proposed scaffold was able to close 94 % of the wound era after 14 days in the animal model and positively affected re-epithelization and angiogenesis. Moreover, nanofibers containing chitosan nanoparticles exhibited a proper blood coagulation ability in the tail cut model. Finally, it was found that this scaffold, in addition to a biological dressing, can be considered as a drug delivery, and according to the results obtained, this dressing has hydrophobic properties and has also shown good performance against superficial bleeding coagulation. And it has not shown any cytotoxicity for red blood cells and mesenchymal stem cells.

A potential therapeutic strategy of an innovative probiotic formulation toward topical treatment of diabetic ulcer: an in vivo study.

BACKGROUND: The probiotic potential of Lacticacid bacteria has been studied in various medical complications, from gastrointestinal diseases to antibiotic resistance infections recently. Moreover, diabetic ulcer (DU) is known as one of the most significant global healthcare concerns, which comprehensively impacts the quality of life for these patients. Given that the conventional treatments of DUs have failed to prevent later complications completely, developing alternative therapies seems to be crucial. METHODS: We designed the stable oleogel-based formulation of viable probiotic cells, including Lactobacillus rhamnosus (L. rhamnosus), Lactobacillus casei (L. casei), Lactobacillus fermentum (L. fermentum), and Lactobacillus acidophilus (L. acidophilus) individually to investigate their effect on wound healing process as an in vivo study. The wound repair process was closely monitored regarding morphology, biochemical, and histopathological changes over two weeks and compared it with the effects of topical tetracycline as an antibiotic approach. Furthermore, the antibiofilm activity of probiotic bacteria was assessed against some common pathogens. RESULTS: The findings indicated that all tested lactobacillus groups (excluded L. casei) included in the oleogel-based formulation revealed a high potential for repairing damaged skin due to the considerably more levels of hydroxyproline content of tissue samples along with the higher numerical density of mature fibroblasts cell and volume density of hair follicles, collagen fibrils, and neovascularization in comparison with antibiotic and control groups. L. acidophilus and L. rhamnosus showed the best potential of wound healing among all lactobacillus species, groups treated by tetracycline and control groups. Besides, L. rhamnosus showed a significant biofilm inhibition activity against tested pathogens. CONCLUSIONS: This experiment demonstrated that the designed formulations containing probiotics, particularly L. acidophilus and L. rhamnosus, play a central role in manipulating diabetic wound healing. It could be suggested as an encouraging nominee for diabetic wound-healing alternative approaches, though further studies in detailed clinical trials are needed.

Ibn Wafid Andalusi, a medieval physician, pharmacist, and botanist, with a look at his most important work Al-Adwiyah Al-Mufradah.

The mastery of medical sciences, pharmacy, and botany can be seen in the records of Andalusian scientists. This descriptive-analytical research introduces one of the scientists of the 10th and 11th centuries AD. Medical knowledge and its affiliates are taken from the medical heritage of ancient civilizations. Andalusian scientists changed Andalusia's agricultural and economic situation by adopting new agricultural methods, especially irrigation and planting of medicinal plants. The name of Ibn Wafid shines among Andalusian scholars. He was one of the theorists in the field of pharmacology in the Middle Ages. His practical method of treating patients is remarkable. His therapies tend to use nutritional methods more than prescribing drugs. He preferred single medications to compound ones. He insisted on curing diseases through hydrotherapy in mineral springs. While working in botany, Ibn Wafid also specialized in medicine and pharmacy. He also benefits from the experiences of his master Zahrawi while using the works of Galen, Aristotle, and Dioscorides. One of his honours was the establishment of several botanical gardens for the kings of the time. Ibn Wafid's attempt at the flourishing of pharmacology, botany, and medicine can be considered a significant contribution to the visibility of these sciences in Medieval Andalusia.

Assessing urban family physician program challenges in Iran: the insurance organizations' perspective(2021).

BACKGROUND: The Family Physician Programme is a key health reform in Iran that faces significant challenges in urban areas, particularly in Mazandaran and Fars provinces The study aims to critically evaluate the challenges encountered in the Urban Family Physician Program, with a particular focus on the perspectives of insurance organizations. METHODS: A qualitative approach was adopted, involving semi-structured interviews with 22 experts and managers from basic health insurance funds. Snowball sampling facilitated participant selection, and interviews proceeded until saturation. Data analysis utilized content analysis and Atlas-T software, adhering to COREQ criteria. RESULTS: Implementation problems of the urban family physician program were categorized into ten Categories and 22 Subcategories, including financing, stewardship, human resources, structure, culture, information system, payment, monitoring and control, the function of insurance organizations, and implementation. CONCLUSION: The urban family physician program's implementation challenges, as viewed by health insurance organizations, underscore the necessity for strategic decision-making in financing, payment models, electronic system integration, structural adjustments, comprehensive monitoring, evaluation, cultural considerations, and appropriate devolution to insurance entities.

Increased high-density lipoprotein cholesterol in patients with type 2 diabetes and its correlates: a cross-sectional, matched case-control survey.

BACKGROUND: So far, high-density lipoprotein cholesterol (HDL-C) levels and mortality were shown to have a U-shaped relationship. Additionally, high HDL-C levels increase the risk of developing a variety of diseases. However, a paucity of data exists regarding the characteristics of people with high HDL-C levels. The aim of this study was to assess the demographics and characteristics of patients with high HDL-C levels and compare their features with normal and low HDL-C groups. METHODS: As a cross-sectional, matched case-control study, a total of 510 patients with type 2 diabetes (T2D) were enrolled in the study and categorized into three matched groups according to their HDL-C concentrations. The studied groups were matched by their age and gender. Restricted cubic spline (RCS) curves were designed to evaluate the relationship between height, blood pressure, triglyceride, and vitamin D concentrations with the probability of having high HDL-C levels. Furthermore, violin plots were conducted to illustrate the distribution of continuous variables within each group. RESULTS: This study showed that having high HDL-C (more than 70 mg/dL) compared to having low HDL-C (less than 40 mg/dL in men and 50 mg/dL in women) was significantly associated with height (OR 0.918, 95% CI 0.866-0.974), systolic blood pressure (SBP) (0.941, 0.910-0.972), vitamin D (0.970, 0.941-0.999), and triglyceride (0.992, 0.987-0.998) serum concentrations. Further analysis investigated that having high HDL-C levels compared to desired HDL-C levels (40 ≤ HDL-C levels < 70 in men and 50 ≤ HDL-C levels < 70 in women) was inversely associated with having SPB values greater than 130 mmHg. Besides, sufficient vitamin D levels (above 20 ng/ml) could 0.349 times decrease the odds of having high HDL-C versus normal HDL-C levels. CONCLUSION: Sufficient vitamin D levels, SPB values higher than 130 mmHg, as well as increased triglyceride levels, were inversely associated with having high HDL levels. However, higher height values were associated with a decreased likelihood of having high HDL.

Extraction of Substance Use Information From Clinical Notes: Generative Pretrained Transformer-Based Investigation.

BACKGROUND: Understanding the multifaceted nature of health outcomes requires a comprehensive examination of the social, economic, and environmental determinants that shape individual well-being. Among these determinants, behavioral factors play a crucial role, particularly the consumption patterns of psychoactive substances, which have important implications on public health. The Global Burden of Disease Study shows a growing impact in disability-adjusted life years due to substance use. The successful identification of patients' substance use information equips clinical care teams to address substance-related issues more effectively, enabling targeted support and ultimately improving patient outcomes. OBJECTIVE: Traditional natural language processing methods face limitations in accurately parsing diverse clinical language associated with substance use. Large language models offer promise in overcoming these challenges by adapting to diverse language patterns. This study investigates the application of the generative pretrained transformer (GPT) model in specific GPT-3.5 for extracting tobacco, alcohol, and substance use information from patient discharge summaries in zero-shot and few-shot learning settings. This study contributes to the evolving landscape of health care informatics by showcasing the potential of advanced language models in extracting nuanced information critical for enhancing patient care. METHODS: The main data source for analysis in this paper is Medical Information Mart for Intensive Care III data set. Among all notes in this data set, we focused on discharge summaries. Prompt engineering was undertaken, involving an iterative exploration of diverse prompts. Leveraging carefully curated examples and refined prompts, we investigate the model's proficiency through zero-shot as well as few-shot prompting strategies. RESULTS: Results show GPT's varying effectiveness in identifying mentions of tobacco, alcohol, and substance use across learning scenarios. Zero-shot learning showed high accuracy in identifying substance use, whereas few-shot learning reduced accuracy but improved in identifying substance use status, enhancing recall and F1-score at the expense of lower precision. CONCLUSIONS: Excellence of zero-shot learning in precisely extracting text span mentioning substance use demonstrates its effectiveness in situations in which comprehensive recall is important. Conversely, few-shot learning offers advantages when accurately determining the status of substance use is the primary focus, even if it involves a trade-off in precision. The results contribute to enhancement of early detection and intervention strategies, tailor treatment plans with greater precision, and ultimately, contribute to a holistic understanding of patient health profiles. By integrating these artificial intelligence-driven methods into electronic health record systems, clinicians can gain immediate, comprehensive insights into substance use that results in shaping interventions that are not only timely but also more personalized and effective.

ApoA1/HDL-C ratio as a predictor for coronary artery disease in patients with type 2 diabetes: a matched case-control study.

INTRODUCTION: This study investigated the possible relationship between the Apo lipoprotein A1 /high-density lipoprotein cholesterol (ApoA1/HDL-C) ratio and coronary artery disease (CAD) in patients with type 2 diabetes (T2D). METHODS: This was a matched case-control study of 482 patients with T2D in two groups of CAD and (n = 241) non-CAD (n = 241). The patients were classified into four quartiles according to the ApoA1/HDL-C ratio, and multivariate logistic regression analysis was performed to assess the relationship between ApoA1/HDL-C and CAD. ROC analysis was also conducted. RESULTS: This study showed that the ApoA1/HDL-C ratio has an independent association with CAD in individuals with T2D. The CAD group exhibited a significantly higher ApoA1/HDL-C ratio than those without CAD (p-value = 0.004). Moreover, the risk of CAD increased significantly across the ApoA1/HDL-C ratio quartiles, with the highest odds in the fourth quartile. The second quartile showed an odds ratio (OR) of 2.03 (p-value = 0.048) compared to the first. Moving to the third quartile, the OR increased to 2.23 (p-value = 0.023). The highest OR was noted in the fourth, reaching 3.41 (p-value = 0.001). Employing a cut-off value of 2.66 and an area under the curve (AUC) of 0.885, the ApoA1/HDL-C ratio predicts CAD among patients with T2D with a sensitivity of 75% and a specificity of 91% (p-value < 0.001). CONCLUSION: The current study revealed an independent association between ApoA1/HDL-C ratio and CAD in patients with T2D. This ratio can be a promising tool for predicting CAD during the follow-up of patients with T2D, aiding in identifying those at higher risk for CAD.

Fast and robust feature-based stitching algorithm for microscopic images.

The limited field of view of high-resolution microscopic images hinders the study of biological samples in a single shot. Stitching of microscope images (tiles) captured by the whole-slide imaging (WSI) technique solves this problem. However, stitching is challenging due to the repetitive textures of tissues, the non-informative background part of the slide, and the large number of tiles that impact performance and computational time. To address these challenges, we proposed the Fast and Robust Microscopic Image Stitching (FRMIS) algorithm, which relies on pairwise and global alignment. The speeded up robust features (SURF) were extracted and matched within a small part of the overlapping region to compute the transformation and align two neighboring tiles. In cases where the transformation could not be computed due to an insufficient number of matched features, features were extracted from the entire overlapping region. This enhances the efficiency of the algorithm since most of the computational load is related to pairwise registration and reduces misalignment that may occur by matching duplicated features in tiles with repetitive textures. Then, global alignment was achieved by constructing a weighted graph where the weight of each edge is determined by the normalized inverse of the number of matched features between two tiles. FRMIS has been evaluated on experimental and synthetic datasets from different modalities with different numbers of tiles and overlaps, demonstrating faster stitching time compared to existing algorithms such as the Microscopy Image Stitching Tool (MIST) toolbox. FRMIS outperforms MIST by 481% for bright-field, 259% for phase-contrast, and 282% for fluorescence modalities, while also being robust to uneven illumination.

Impact of Gender on Chronic Complications in Participants With Type 2 Diabetes: Evidence From a Cross-Sectional Study.

INTRODUCTION: This study aimed to assess and compare the prevalence of diabetes complications between men and women with Type 2 diabetes (T2D), as well as how gender relates to these complications. METHODS: In this cross-sectional study, complications of diabetes, including coronary artery disease (CAD), retinopathy, neuropathy and diabetic kidney disease (DKD), were evaluated in 1867 participants with T2D. Additionally, baseline characteristics of the individuals, including anthropometric measurements, metabolic parameters and the use of dyslipidaemia drugs and antihyperglycaemic agents, were assessed. Gender differences in complications were examined using the chi-squared test. Multivariate logistic regression was employed to investigate the relationship between gender and T2D complications, with and without adjusting for the characteristics of the studied population. RESULTS: In the studied population, 62.1% had at least one complication, and complications were 33.5% for DKD, 29.6% for CAD, 22.9% for neuropathy and 19.1% for retinopathy. The prevalence of CAD and neuropathy was higher in men. However, DKD and retinopathy were more prevalent among women. Odds ratios of experiencing any complication, CAD and retinopathy in men compared with women were 1.57 (95% CI: 1.27-2.03), 2.27 (95% CI: 1.72-2.99) and 0.72 (95% CI: 0.52-0.98), respectively, after adjusting for demographic factors, anthropometric measures, metabolic parameters and the consumption of dyslipidaemia drugs and antihyperglycaemic agents. CONCLUSION: The prevalence of diabetes complications was significantly higher in men with diabetes, highlighting the need for better treatment adherence. CAD was associated with the male gender, whereas retinopathy was associated with the female gender. Men and women with diabetes should be monitored closely for CAD and retinopathy, respectively, regardless of their age, diabetes duration, anthropometric measures, laboratory findings and medications.

Relationship between reproductive health literacy and components of healthy fertility in women of the reproductive age.

BACKGROUND AND AIM: One of the key factors affecting women's behavior with fertility issues is their health literacy, but this topic has been less addressed in the existing studies. We aimed to determine the relationship between reproductive health literacy and components of healthy fertility in women of reproductive age. MATERIALS AND METHODS: This cross-sectional study was conducted from March 2019 to September 2014 on 230 married women who were referred to comprehensive health centers in Lordegan city. Data were collected using a reproductive health literacy questionnaire, demographic and fertility information checklist, and components of healthy fertility. Data analysis was done using SPSS software, version 20. Pearson, Spearman, and independent t-tests were used as appropriate. RESULTS: The mean ± SD reproductive health literacy score in the participants was 43.80 ± 18.99 depicting an average literacy level in more than half of the women. Also, the reproductive health literacy score had a statistically significant relationship with the use of low-failure contraceptive methods (P < 0.001) and planned pregnancy (P = 0.03). However, this relationship was not significant regarding pre-pregnancy care (P = 0.88) and observing the interval between pregnancies (P = 0.57). CONCLUSION: We found a relationship between the level of reproductive health literacy and the use of family planning methods with low failure and planned pregnancy. Hence, it seems that interventions to improve reproductive health literacy are effective in reducing the occurrence of high-risk pregnancies and unwanted and unplanned pregnancies. Therefore, it is suggested that the health system consider and provide education related to reproductive health literacy as a part of healthy reproductive services.

Cannabinoid receptors as new targets for HTLV-1 associated myelopathy (HAM/TSP) treatment.

BACKGROUND/AIM: The roles of endocannabinoids are described in immune modulation and neuroprotection. HTLV-1-associated myelopathy (HAM/TSP) is an inflammatory neurodegenerative disease. Therefore, in this study, the interactions of HTLV-1 regulatory factors and host cannabinoid receptors (CBRs) were evaluated in HAM/TSP. METHODS: Nineteen HAM/TSPs, 22 asymptomatic carriers (ACs), and 18 healthy controls (HCs) were enrolled. RNA was extracted from PBMCs and then reverse-transcribed to cDNA. The gene expression of CB1R and CB2R, as well as HTLV-1 proviral load (PVL), Tax and HTLV-1 basic leucine zipper factor (HBZ) were assessed by RT-qPCR. RESULTS: The mean expression of CB1R in ACs (8.51 ± 2.76) was significantly higher than HAMTSPs (1.593 ± 0.74, p = 0.05) and also HCs (0.10 ± 0.039, p = 0.001). The CB2R gene expression level in ACs (2.62±0.44) was significantly higher than HAM/TSPs (0.59 ± 0.15, p = 0.001) and HCs (1.00 ± 0.2, p = 0.006). Meanwhile there was a strong correlation between CB1R and CB2R gene expression levels in the HCs and HAM/TSPs (p = 0.001). HTLV-1-Tax expression in HAM/TSPs (386 ± 104) was higher than ACs (75 ± 32) and statistically significant (p = 0.003). While HTLV-1-HBZ was only expressed in three AC subjects and five HAM/TSPs, thus it cannot be analyzed. CONCLUSION: The up-regulation of CB2R has immunomodulatory effects in inflammatory reactions. While CB1R as a neuroprotective agent may suppress inflammatory reactions in ACs, preventing HAM/TSP. It seems that, like multiple sclerosis (MS), cannabinoid medications are beneficial in HAM/TSP.

Mesenchymal stem cell-derived exosomes for management of prostate cancer: An updated view.

Prostate cancer represents the second most prevalent form of cancer found in males, and stands as the fifth primary contributor to cancer-induced mortality on a global scale. Research has shown that transplanted mesenchymal stem cells (MSCs) can migrate by homing to tumor sites in the body. In prostate cancer, researchers have explored the fact that MSC-based therapies (including genetically modified delivery vehicles or vectors) and MSC-derived exosomes are emerging as attractive options to improve the efficacy and safety of traditional cancer therapies. In addition, researchers have reported new insights into the application of extracellular vesicle (EV)-MSC therapy as a novel treatment option that could provide a more effective and targeted approach to prostate cancer treatment. Moreover, the new generation of exosomes, which contain biologically functional molecules as signal transducers between cells, can simultaneously deliver different therapeutic agents and induce an anti-tumor phenotype in immune cells and their recruitment to the tumor site. The results of the current research on the use of MSCs in the treatment of prostate cancer may be helpful to researchers and clinicians working in this field. Nevertheless, it is crucial to emphasize that although dual-role MSCs show promise as a therapeutic modality for managing prostate cancer, further investigation is imperative to comprehensively grasp their safety and effectiveness. Ongoing clinical trials are being conducted to assess the viability of MSCs in the management of prostate cancer. The results of these trials will help determine the viability of this approach. Based on the current literature, engineered MSCs-EV offer great potential for application in targeted tumor therapy.

Intimate Partner Violence and Attachment Styles as Factors Associated with Coping Stress Styles Among Iranian Women.

The current study sought to examine attachment styles as mediators between intimate partner violence (IPV) and stress coping styles among Iranian women. Data were collected from September to December 2020. The study population was composed of 102 women who were referred to Social Emergency Centers in Isfahan and affected by domestic violence. They were given self-report questionnaires to measure IPV (the Haj-Yahia Violence Questionnaire), Stress Coping Styles (CISS), and Attachment Styles (AAQ). Structural Equation Modeling was used to test the hypothesized relationships. Sexual IPV victimization was related to both avoidant attachment (ß = .229, p = .015) and anxious attachment (ß = .245, p = .008). Anxious attachment style was related to emotion-oriented coping (ß = .437, p = .000). There was a negative relationship between avoidant attachment and anxious attachment (ß = -.237, p = .032) with avoidance-oriented coping. Sexual IPV victimization and economic IPV victimization were associated with avoidance-oriented coping (ß = -.225, t = 0.816, p = .015; ß = .188, t = 0.816, p = .044). Women who had experienced IPV and had an insecure attachment style were more likely to utilize avoidance and emotional coping strategies. For women who had a secure attachment style, there was no association was found between IPV victimization and coping styles. Attachment styles may influence the relationship between IPV and coping strategies in Iranian women who have experienced violence.

A comparative analysis of pairwise image stitching techniques for microscopy images.

Stitching of microscopic images is a technique used to combine multiple overlapping images (tiles) from biological samples with a limited field of view and high resolution to create a whole slide image. Image stitching involves two main steps: pairwise registration and global alignment. Most of the computational load and the accuracy of the stitching algorithm depend on the pairwise registration method. Therefore, choosing an efficient, accurate, robust, and fast pairwise registration method is crucial in the whole slide imaging technique. This paper presents a detailed comparative analysis of different pairwise registration techniques in terms of execution time and quality. These techniques included feature-based methods such as Harris, Shi-Thomasi, FAST, ORB, BRISK, SURF, SIFT, KAZE, MSER, and deep learning-based SuperPoint features. Additionally, region-based methods were analyzed, which were based on the normalized cross-correlation (NCC) and the combination of phase correlation and NCC. Investigations have been conducted on microscopy images from different modalities such as bright-field, phase-contrast, and fluorescence. The feature-based methods were highly robust to uneven illumination in tiles. Moreover, some features were found to be more accurate and faster than region-based methods, with the SURF features identified as the most effective technique. This study provides valuable insights into the selection of the most efficient and accurate pairwise registration method for creating whole slide images, which is essential for the advancement of computational pathology and biology.

Effects and safety of resveratrol supplementation in older adults: A comprehensive systematic review.

Resveratrol (RSV) has garnered significant attention in recent years due to its potential benefits against chronic diseases. However, its effects and safety in older adults have not been comprehensively studied. This study aimed to determine the effects and safety of RSV supplementation in older adults. MEDLINE/PubMed, Scopus, and Web of Science databases were comprehensively searched for eligible studies. Studies were enrolled if they were randomized clinical trials and had incorporated RSV supplementation for older adults. Two independent authors conducted the literature search, and eligibility was determined according to the PICOS framework. Study details, intervention specifics, and relevant outcomes were collected during the data collection. The Cochrane RoB-2 tool was used to evaluate the risk of bias. This review included 10 studies. The combination of RSV and exercise improved exercise adaptation and muscle function in healthy older adults and physical performance and mobility measures in individuals with functional limitations. RSV showed potential neuroprotective effects in patients with Alzheimer's disease. In overweight individuals, RSV demonstrated a positive impact on cognitive function, but it increased some biomarkers of cardiovascular disease risk at high doses. In older adults with diabetes and those with peripheral artery disease (PAD), RSV was not more effective than placebo. No study reported significant adverse events following RSV treatment. RSV can improve various health parameters in age-related health conditions. However, the optimal dosage, long-term effects, and potential interactions with medications still need to be investigated through well-designed RCTs.

NLP-Assisted Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation.

Chronic Obstructive Pulmonary Disease (COPD) frequently coincides with other comorbidities such as congestive heart failure, hypertension, coronary artery disease, or atrial fibrillation. The exhibition of overlapping sets of symptoms associated with these conditions prevents early identification of an acute exacerbation upon admission to a hospital. Early identification of the underlying cause of exacerbation allows timely prescription of an optimal treatment plan as well as allows avoiding unnecessary clinical tests and specialist consultations. The aim of this study was to develop a predictive model for early identification of COPD exacerbation by using the clinical notes generated within 24 hours of admission to the hospital. The study cohort included patients with a prior diagnosis of COPD. Four predictive models have been developed, among which the support vector machine showed the best performance based on the resulting 80% F1 score.

Correlates of normal and decreased HDL cholesterol levels in type 2 diabetes: a cohort-based cross-sectional study.

BACKGROUND: The literature describes an inverse association between the values of triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C). This survey was designed to exhibit the features of people with type 2 diabetes (T2D) who display this inverse association and identify potential contributing factors to having normal HDL-C values. METHODS: A total of 6127 persons with T2D were assigned to the present survey. Demographic features and clinical status data were compared between subjects with a substantial inverse association of TG and HDL-C and those without. Logistic regressions were performed to ascertain the role of different factors related to normal HDL-C. Moreover, the restricted cubic spline (RCS) functions were conducted to scrutinize the underlying relationships between the studied variables and low HDL-C levels. RESULTS: Patients with high TG (150 ≤ TG < 400) compared to patients with normal TG (TG < 150) were less likely to have normal HDL-C. Younger age, narrow hip, lower levels of blood pressure, two-hour postprandial glucose (2hPP), fasting blood sugar (FBS), hemoglobinA1C (HbA1C), low-density lipoprotein cholesterol (LDL-C), total cholesterol, and non-HDL-C, higher atherogenic index of plasma (AIP), and TG/HDL-C ratio correlate with an inverse connection between the values of HDL-C and TG (all P < 0.05). Age greater than 65 years (odds ratio (OR) 1.260, 95% confidence intervals (CI) 1.124-1.413) had a positive association, whereas female sex (OR 0.467, CI 0.416-0.523) , 25 kg/m2 < body mass index (BMI) (OR 0.786, CI 0.691-0.894), and higher serum creatinine levels (OR 0.481, CI 0.372-0.621) had an inverse association with having normal HDL-C. CONCLUSIONS: Patients with an inverse connection between TG and HDL-C values had considerably different anthropometric features, lipid profiles, and glucose indices compared to those without this relationship. Furthermore, patients who aged less than 65 years, had female gender, BMI more than 25 kg/m2, and higher serum creatinine levels were less likely to exhibit normal HDL-C levels.

Immunoregulatory effects of nanocurcumin in inflammatory milieu: Focus on COVID-19.

The use of natural compounds, such as curcumin, to treat infections caused by bacteria, viruses, fungi, parasites, inflammatory diseases, and various types of cancer is an active and dynamic area of research. Curcumin has a long history of use in the food industry, and there is currently a growing interest in its therapeutic applications. Numerous clinical trials have consistently shown that curcumin, a polyphenolic compound, is safe and well-tolerated even at high doses. There is no toxicity limit. However, the clinical efficacy of curcumin has been limited by its constraints. However, scientific evidence indicates that the use of adjuvants and carriers, such as nanoparticles, exosomes, micelles, and liposomes, can help overcome this limitation. The properties, functions, and human benefits of using nanocurcumin are well-supported by scientific research. Recent evidence suggests that nanocurcumin may be a beneficial therapeutic modality due to its potential to decrease gene expression and secretion of specific inflammatory biomarkers involved in the cytokinestorm seen in severe COVID-19, as well as increase lymphocyte counts. Nanocurcumin has demonstrated the ability to improve clinical manifestations and modulate immune response and inflammation in various autoinflammatory diseases. Additionally, its efficacy, affordability, and safety make it a promising replacement for residual cancer cells after tumor removal. However, further studies are necessary to evaluate the safety and efficacy of nanocurcumin as a new therapeutic in clinical trials, including appropriate dosage, frequency, and duration.

New Insights into the Long Non-coding RNAs Dependent Modulation of Heart Failure and Cardiac Hypertrophy: From Molecular Function to Diagnosis and Treatment.

Heart failure (HF) is a public health issue that imposes high costs on healthcare systems. Despite the significant advances in therapies and prevention of HF, it remains a leading cause of morbidity and mortality worldwide. The current clinical diagnostic or prognostic biomarkers, as well as therapeutic strategies, have some limitations. Genetic and epigenetic factors have been identified to be central to the pathogenesis of HF. Therefore, they might provide promising novel diagnostic and therapeutic approaches for HF. Long non-coding RNAs (lncRNAs) belong to a group of RNAs that are produced by RNA polymerase II. These molecules play an important role in the functioning of different cell biological processes, such as transcription and regulation of gene expression. LncRNAs can affect different signaling pathways by targeting biological molecules or a variety of different cellular mechanisms. The alteration in their expression has been reported in different types of cardiovascular diseases, including HF, supporting the theory that they are important in the development and progression of heart diseases. Therefore, these molecules can be introduced as diagnostic, prognostic, and therapeutic biomarkers in HF. In this review, we summarize different lncRNAs as diagnostic, prognostic, and therapeutic biomarkers in HF. Moreover, we highlight various molecular mechanisms dysregulated by different lncRNAs in HF.

The lack of association between different LDL-C levels and oxidized LDL in patients with type 2 diabetes.

Background: High concentrations of low-density lipoprotein cholesterol (LDL-C) have been a known risk factor for cardiovascular diseases. Also, the role of oxidized LDL (ox-LDL) in forming atherosclerosis plaque has been proven. However, it has not yet been proven that atherogenic LDL-C by-products like ox-LDL will decrease by keeping the LDL levels at the desired level. This study aimed to examine the relationship between LDL-C and ox-LDL in different LDL-C values in patients with type 2 diabetes (T2D). Methods: In this cross-sectional study, 347 patients with T2D who received statins were enrolled. LDL-C values were defined into four groups as LDL-C < 55 mg/dL, 55 mg/dL ≤ to <70 mg/dL, 70 mg/dL ≤ to <100 mg/dL and LDL-C ≥ 100 mg/dL. Total cholesterol, triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and ox-LDL were studied in the four defined groups. Results: Ox-LDL levels were not different among the four groups (p = 0.30). In addition, LDL-C and ox-LDL levels had no significant correlation (r = 0.480, p = 0.376). Additionally, based on this study analysis, ox-LDL levels were significantly correlated with TG levels (r = 0.119, p < 0.05) and TG/HDL ratio (r = 0.390, p < 0.01). Conclusions: It is concluded that ox-LDL levels were not associated with different LDL-C level categories from <55 mg/dL to >100 mg/dL in patients with T2D. However, the revealed association of ox-LDL with TG level and TG/HDL ratio may be considered in the clinic.