Current Era Research Articles

Arduino Based Automatic Door Lock Design Using Personal Identification Number Pin

Current developments require more innovation in everyday life, one of which is home or office door security. Initially, home or office door security was only with ordinary padlocks or door keys found in most houses in Indonesia which had shortcomings in terms of security and effectiveness. In the current era of digitalization, almost every line of human activity is no exception, technology is currently continuously developing more rapidly. This can be observed through the many sophisticated equipment that utilizes technology so that the work system can run automatically. Of course, this makes it much easier for someone to carry out their activities and the work they do is also more efficient. This research aims to design a door lock system that is able to increase security, effectiveness and comfort in accessing rooms, both home and office. This system utilizes an Arduino microcontroller as the brain of the system, a keypad as input for entering the PIN code. Users are allowed to open the door simply by entering a predetermined PIN code. The main advantage of this system is its ease of use and a better level of security compared to conventional door locks. The results of this research are a pin-based door lock system using Arduino and keypad. This system uses the Arduino IDE development application for writing program code and Proteus for work simulation.

Prevalence and Impact of Recurrent Rejection on Pediatric Heart Transplant Recipients: A PHTS Multi-Institutional Analysis

BackgroundStudies evaluating the prevalence and impact of recurrent rejection (RR) in pediatric heart transplant (HT) are sparse. ObjectivesThe purpose of this study was to describe prevalence and impact of RR on cardiac allograft vasculopathy (CAV) and graft loss after pediatric HT. MethodsData on HT from January 1, 2000, to June 30, 2020, in the Pediatric Heart Transplant Society database were included. Freedom from RR (≥2 rejection episodes) was compared by era (early: 2000-2009; current: 2010-2020). Outcomes for children experiencing RR were compared with those experiencing 0 or 1 rejection episodes and by type of RR (antibody-mediated rejection [AMR], acute cellular rejection [ACR], mixed [ACR/AMR]). ResultsOf 6,342 HT recipients, 1,035 (17%) experienced RR. In the current era, pediatric HT recipients were less likely to experience RR (P < 0.001). Freedom from CAV was similar for those experiencing RR to those experiencing 0 or 1 episode (96.6% vs 95.3% vs 96.6%); and similar regardless of the type of RR (AMR, ACR, or mixed) (65.5% vs 82.9% vs 100%) (P > 0.05). Freedom from graft loss was significantly lower for those experiencing RR to those experiencing 0 or 1 episode (56.3% vs 72.3% vs 82.3%) and lower for those experiencing recurrent mixed rejection or recurrent AMR compared with those experiencing recurrent ACR (65.3% vs 50% vs 81.8%). Black children experiencing RR subsequently had lower freedom from CAV and graft loss than White children (P < 0.05 for all). ConclusionsAlthough prevalence of RR has decreased, children experiencing RR are at greatly increased risk for losing their graft, particularly those who have recurrent mixed or antibody-mediated rejection.

Future school administration as perceived by school principals in distance learning: Developmental suggestions

This study aimed to examine perceptions of school principals regarding future school administration in distance learning and to provide developmental suggestions for future school administration as perceived by school principals in distance learning. To achieve this goal, the researchers employed a qualitative design via personal interviews. The sample consisted of (20) school principals selected purposefully from those who had more than 15 years of experience. According to the results, principals look at the future school administration in distance learning as participatory and teamwork-based collaborative participative administration, with a response percentage of 65%. They believe that future school administration in distance learning is a process based on planning and organization, with a response percentage of 55%. The results also revealed that the most important developmental suggestion lies in training and qualifying the administrative and educational staff regarding the use of technology in education, with a response percentage of 60%. In addition, the respondents suggested to provide suitable strategies to administer the distance learning process, with a response percentage of 50%. In light of the results, a set of recommendations was proposed, most notably, building effective strategic plans should be developed by school principals, with clear future visions and standards that increase teachers' awareness of the importance of education technology. Furthermore, conducting educational workshops on effective distance learning strategies that increase students' interaction and the importance of e-culture for teachers and students and the need to integrate technology into the educational process and its curricula to keep pace with the current era.

Advanced and sustainable EMI shielding composites: Natural rubber-nitrile rubber blends enhanced with hydrothermally synthesized Polyaniline Nanofibers and spinel strontium ferrites

Conductive fillers, such as metals and carbon compounds, often exhibit lower compatibility with polymer matrices, leading to agglomeration phenomena that negatively impact the processing and performance of composites. Polyaniline (PANI) nanofibers, with their high conductivity, rapidly create conductive pathways upon contact, reducing current leakage and dielectric loss in composites. To address the compatibility challenges between fillers and matrices, this study adopts a simple, cost-effective approach for synthesizing highly efficient EMI shielding composites. Specifically, we employ hydrothermal synthesis to enhance the properties of PANI nanofibers and spinel strontium ferrites, significantly improving their performance as filler particles. By modifying the morphology of the conductive fillers and incorporating magnetic particles wrapped with an insulating polymer layer, we enhance filler-matrix compatibility. Notably, the synthesized system is a composite made of natural rubber, highlighting its relevance and importance in the current era. This approach not only improves compatibility but also leverages the sustainable properties of natural rubber, making it a significant advancement in the field of EMI shielding materials. In this paper, we report a flexible EMI shielding composite with efficient EM wave absorption, prepared using a natural rubber-nitrile rubber blend as the matrix, and hydrothermally synthesized improves polyaniline nanofibers and spinel strontium ferrite as functional fillers. The shielding efficiency (SET) increases up to 36 dB with different PANI-SrFe2O4wt percentages. This demonstrates the potential of composite for high-performance applications.

Interrelation of Spiritualism and Materialism of Madrasah Teachers

While materialism is strongly spreading in society, one of which is in the educational environment, madrasah teachers are supposed to have high spiritualism to be able to control it. This research aims to analyze the interrelation of spiritualism and materialism of madrasah teachers in East Kalimantan. The research used a quantitative-correlative approach with 1604 madrasah teachers in East Kalimantan as the research population. The selected sample, 241 State Madrasah Aliyah teachers, was taken using a purposive sampling technique. Data was collected using a questionnaire instrument, which was then analyzed using linear regression correlation analysis techniques. The research results show that there is a very significant relationship between spiritualism and materialism of madrasah teachers. The higher the teacher's spiritualism, the lower the materialism, conversely the lower the spiritualism, the higher the teacher's materialism. This research has implications for the importance of building the spiritualism of madrasah teachers so that they are not easily influenced by the strong materialism in the current era.

Rationale of restaging transurethral resection of bladder tumor in patients with nonmuscle invasive bladder cancer in the current era

Background: We present retrospective data of patients with nonmuscle invasive bladder cancer (NMIBC) who underwent restaging transurethral resection of bladder tumor (Re-TURBT) at a tertiary care center. Materials and Methods: Records of all NMIBC patients undergoing Re-TURBT between March 2021 and September 2023 were retrospectively analyzed. Patients were risk stratified based on TURBT pathology. Re-TURBT was performed between 4 and 6 weeks. Adverse features such as number, size, and appearance were noted. Patients with persistent disease at Re-TURBT were counseled for early cystectomy with urinary diversion or intravesical Bacillus Calmette–Guerin (BCG). In case of disease upstaging, patients were counseled for radical cystectomy. Results: Thirty-eight NMIBC patients (30 males and 8 females) underwent Re-TURBT. Six patients had residual/persistent disease at 6 weeks, all high risk and high grade (HG, P value not significant, P = 0.31). There was no association with number and appearance of tumors with residual/persistence at 6 weeks. The mean lesion size on imaging in cases with and without residual disease was 3.32 ± 0.86 versus 3.39 ± 0.92 cm, respectively, P value not significant (0.868). There was no residual disease in the low-grade (LG) pT1 group, but HG pTa and pT1 (n = 3) had residual disease. Four HG pT1 patients opted for early cystectomy. Two patients each had pT0 and two pT2. At 3 months of follow-up, urethral strictures were seen both in high risk and intermediate risk. Among four patients who had stricture, meatal stenosis was common (50%, n = 2). Two patients had long-segment stricture requiring perineal urethrostomy with stage I Johannsen repair. All HG pT1 lesion patients eventually underwent cystectomy (3 were under staged and two treated completely with TURBT, one with TURBT + BCG and one patient progressed to metastasis). Conclusion: Re-TURBT is essential for the management of HG pTa and HG pT1 lesions for accurate staging and treatment of residual disease. However, LG pT1 patients can safely be excluded from Re-TURBT.

Risk Factors of Postoperative Atrial Fibrillation After Isolated Coronary Artery Bypass Grafting Surgery in the Recent 10 Years: Clinical Analysis of 6229 Patients.

Postoperative atrial fibrillation (POAF) is a common complication after coronary artery bypass grafting (CABG) that prolongs hospitalization and increases expenses. Perioperative risk factors may predict POAF. From March 2015 to January 2023, 6229 patients who underwent isolated CABG and were in sinus rhythm before CABG were included in this retrospective study. The preoperative and postoperative variants of patients were collected and analyzed by univariate analyses between the patients with and without POAF. Multivariate logistic regression analysis was then used to study the independent risk factors for POAF. The incidence of POAF in this group of patients was 30.94%. Univariate analyses demonstrated that age (p < 0.001), hypertension (p < 0.001), smoking (p < 0.05), cardiopulmonary bypass (CPB) time (p < 0.01), and ejection fraction (EF, p < 0.01) were the risk factors for POAF. Multivariate logistic regression analysis determined the independent risk factors associated with POAF were old age (odds ratio [OR] = 1.062, p = 0.000) and low EF (OR = 0.980; p = 0.008). In the current era, after isolated CABG surgery, there is still a quite high incidence of POAF (30.94% in this group of CABG patients). The main risk factors correlating to POAF include age, hypertension, smoking, CPB time, and EF. Among these factors, multivariate analysis identified old age and low EF as the independent risk factors associated with POAF. Particular care should be taken in the perioperative period for these patients in the prevention of POAF.

Hierarchical Ti3C2Tx MXene@Honeycomb nanocomposite with high energy efficiency for solar water desalination

The utilization of solar-driven interfacial evaporation holds immense promise in enhancing energy efficiency and establishing sustainable methods for seawater desalination and water purification. While designing the materials to achieve high evaporation efficiency, the tuning of materials with porosity and surface chemistry is very crucial. Novel sustainable materials are of great importance for solar water desalination applications since clean water production is utmost important in the current era. There exists a lack of exploration in modifying the surface wettability states of solar evaporators to expedite the vapor generation rates. In this study, we showcase a hydrophilic Ti3C2Tx MXene-coated carbonized honeycomb (CHC) (Ti3C2Tx MXene@CHC) nanocomposite-based hexagonal-shaped evaporator surface. This is the first-time report on the effective utilization of hierarchical CHC for the preparation of solar absorber comprising of Ti3C2Tx MXene@CHC nanocomposite, particularly for the solar water desalination. The Ti3C2Tx MXene@CHC nanocomposite evaporator achieves an impressive water evaporation rate of 1.6 kg m−2 h−1 with 90% efficiency under 1 sun illumination. The augmented thickness of the water layer in the hydrophilic surface of the Ti3C2Tx MXene@CHC nanocomposite helps in facilitating the rapid escape of water molecules. The relatively elongated contact lines in the hydrophobic region simultaneously ensure substantial water evaporation, significantly enhancing the water desalination process. The Ti3C2Tx MXene@CHC nanocomposite exceeds stringent quality benchmarks, signaling its potential for solar water desalination.

Therapeutic implications of etiology-specific diagnosis of early-onset developmental and epileptic encephalopathies (EO-DEEs): A nationwide Turkish cohort study

ObjectiveTo evaluate the etiology-specific diagnosis of early-onset developmental epileptic encephalopathies (EO-DEEs) in a nationwide Turkish cohort to determine the implications for therapeutic management. MethodsThe cohort comprised 1450 patients who underwent EO-DEE. The utility of genetic testing was assessed with respect to the initial phases of next generation sequencing (NGS) (2005–2013) and the current NGS era (2014–2022). A predefined four-stepwise diagnostic model was evaluated using cost-effectiveness analysis. The diagnostic and potential therapeutic yields of the genetic tests were subsequently determined. ResultsGene-related EO-DEEs were identified in 48.3% (n=701) of the cohort: non-structural genetic (62.6%), metabolic genetic (15.1%), and structural genetic (14.1%). The most common nonstructural genetic variants were SCN1A (n=132, 18.8%), CDKL5 (n=30, 4.2%), STXBP1 (n=21, 2.9%), KCNQ2 (n=21, 2.9%), and PCDH19 (n=17, 2.4%). The rate of ultra-rare variants (< 0.5%) was higher in the NGS era (52%) than that in the initial phase (36%). The potential therapeutic yields with precision therapy and antiseizure drug modification were defined in 34.5% and 56.2% in genetic-EO-DEEs, respectively. The diagnostic model provided an etiology-specific diagnosis at a rate of 78.7%: structural (nongenetic) (31.4%), genetic (38.5%), metabolic (6.1%), and immune-infectious (2.8%). Based on a cost-effectiveness analysis, the presented diagnostic model indicated the early implementation of whole-exome sequencing for EO-DEEs. SignificanceIn the present cohort, the higher rate (48.3%) of gene-related EO-DEE diagnoses in the NGS era provides a potential therapeutic management plan for more patients.

A journey through quantum technology

Abstract Technology aims to utilise physics to invent things that improve our lives. Our current information technology era is the result of quantum mechanics and the concept of wave-particle duality. Many revolutionary technologies, such as the laser, MRI and integrated circuits were developed from this first quantum revolution. This paper provides a brief summary of these key quantum technologies and investigates some of the ongoing research that may spark a second quantum revolution.

Penerapan Algoritma Clustering untuk Segmentasi Pelanggan E-commerce berdasarkan Data Pembelian dan Aktivitas

In the current digital era, e-commerce has become one of the main pillars of global trade. With the ever-increasing amount of transaction and user activity data, e-commerce companies are faced with the challenge of understanding and managing diverse customer segments more effectively. This paper discusses the application of clustering algorithms for e-commerce customer segmentation based on purchasing data and user activity. The aim of this research is to identify homogeneous customer groups to support more targeted marketing strategies and increase customer retention. The problem faced is how to process big data originating from user transactions and activities on e-commerce platforms, as well as how to identify patterns that are useful for customer segmentation. The data used in this research includes purchase history, frequency of visits, length of time spent on the site, and interactions with certain products. The solution method applied in this research is the clustering algorithm, especially K-Means and DBSCAN. K-Means is used to group data into a predetermined number of clusters based on the Euclidean distance between data points. Meanwhile, DBSCAN is used to identify clusters with high density and separate data that is considered noise or outliers. Data preprocessing is carried out to clean and normalize the data before being applied to the clustering algorithm. Validation of clustering results is carried out using metrics such as Silhouette Score and Davies-Bouldin Index. The research results show that by applying the clustering algorithm, customers can be grouped into several segments that have similar characteristics. For example, we found groups of customers with high purchase frequency but low transaction value, as well as other groups with high transaction value but low purchase frequency. This information is very useful for companies to design more effective marketing strategies, such as special offers for customers with high transaction values ​​or loyalty programs for customers with high purchasing frequency. The conclusion of this research is that clustering algorithms can be a very effective tool in e-commerce customer segmentation, allowing companies to understand customer behavior patterns and develop more targeted and effective marketing strategies. Thus, implementing this method is expected to improve business performance and overall customer satisfaction.

Methotrexate: Use in the Post Dobbs v. Jackson Era.

Methotrexate is one of the most frequently used medications for the treatment of rheumatic diseases. Although initially developed for use as chemotherapy for both solid and hematologic malignancies, it was used as early as the 1960s with success for rheumatoid arthritis (RA) and psoriatic arthritis, ultimately being approved by the US Food and Drug Administration for the treatment of RA in 1988. Beyond RA and psoriatic arthritis, methotrexate is used in the treatment of systemic lupus erythematosus, idiopathic inflammatory myopathies, and other inflammatory conditions. Methotrexate is cytotoxic to the trophoblast and has been used to treat both ectopic pregnancy and gestational trophoblastic neoplasia, leading to studies in the early 1990s that showed it was effective and safe for early abortion in combination with prostaglandin E1 analog misoprostol. Methotrexate is also a teratogen, causing serious birth defects in 6%-10% of patients taking it while pregnant. Additionally, women are more likely to be affected by both RA at SLE, as compared with males, thus worsening the burden of these adverse effects. Both methotrexate's history of use as an abortifacient and its teratogenic properties make its use more complicated in the current era of abortion policy in the United States following the Dobbs v. Jackson Women's Health Organization ruling. Recently published data suggest that this ruling has affected both provider perspectives and patient experiences as it relates to methotrexate use. In the post-Dobbs era, the role of the rheumatologist as it relates to patients' sexual and reproductive health is likely to expand.

Advances and prospects of multi-modal ophthalmic artificial intelligence based on deep learning: a review.

In recent years, ophthalmology has emerged as a new frontier in medical artificial intelligence (AI) with multi-modal AI in ophthalmology garnering significant attention across interdisciplinary research. This integration of various types and data models holds paramount importance as it enables the provision of detailed and precise information for diagnosing eye and vision diseases. By leveraging multi-modal ophthalmology AI techniques, clinicians can enhance the accuracy and efficiency of diagnoses, and thus reduce the risks associated with misdiagnosis and oversight while also enabling more precise management of eye and vision health. However, the widespread adoption of multi-modal ophthalmology poses significant challenges. In this review, we first summarize comprehensively the concept of modalities in the field of ophthalmology, the forms of fusion between modalities, and the progress of multi-modal ophthalmic AI technology. Finally, we discuss the challenges of current multi-modal AI technology applications in ophthalmology and future feasible research directions. In the field of ophthalmic AI, evidence suggests that when utilizing multi-modal data, deep learning-based multi-modal AI technology exhibits excellent diagnostic efficacy in assisting the diagnosis of various ophthalmic diseases. Particularly, in the current era marked by the proliferation of large-scale models, multi-modal techniques represent the most promising and advantageous solution for addressing the diagnosis of various ophthalmic diseases from a comprehensive perspective. However, it must be acknowledged that there are still numerous challenges associated with the application of multi-modal techniques in ophthalmic AI before they can be effectively employed in the clinical setting.

Simultaneous Robot-assisted Lipoabdominoplasty and Cholecystectomy

Summary: In the current era of advanced technologies, robotic surgery is rapidly evolving. New articles are emerging on the use of robots in general surgery, urology, and oncology, with single cases in maxillofacial surgery. In this article, we describe the successful use of robotic techniques for simultaneously performing suturing repair of the diastasis of the rectus abdominis muscles, aesthetic correction of the anterior abdominal wall with lipoabdominoplasty, and cholecystectomy. That, according to our knowledge, has not ever been done before.

Modeling the significance of corporate social responsibility on green capabilities and sustainability performance

This study examines the complex interplay among corporate social responsibility (CSR), green dynamic capabilities, green innovation capabilities, and organizations' economic, environmental, and social performance in the current era of innovation and sustainability. The proposed framework was tested using data from 634 medium- and large-sized Chinese manufacturing firms. Partial least squares structural equation modeling was employed to analyze the data. The findings demonstrate that CSR to external and internal stakeholders positively influences green dynamic capabilities. Meanwhile, CSR to external stakeholders and green dynamic capabilities are positively associated with green innovation capabilities, subsequently influencing the economic, environmental, and social performance of manufacturing firms. Moreover, the results reveal the mediating effect of green dynamic capabilities on the association between CSR and green innovation capabilities. Green innovation capabilities also mediate the association between CSR to external stakeholders and green dynamic capabilities on manufacturing organizations’ economic, environmental, and social performance. This study offers a novel exploration of the intricate interplay among CSR, green dynamic capabilities, green innovation capabilities, and organizational performance within manufacturing organizations. These findings provide valuable insights for managers and offer opportunities for further research that will ultimately contribute to a deeper understanding of the roles of sustainability and innovation in modern corporations.

Preoperative markers for identifying CT ≤2 cm solid nodules of lung adenocarcinoma based on image deep learning.

The solid pattern is a highly malignant subtype of lung adenocarcinoma. In the current era of transitioning from lobectomy to sublobar resection for the surgical treatment of small lung cancers, preoperative identification of this subtype is highly important for patient surgical approach selection and long-term prognosis. A total of 1489 patients with clinical stage IA1-2 primary lung adenocarcinoma were enrolled. Based on patient clinical characteristics and lung imaging features obtained via deep learning, highly correlated diagnostic factors were identified through LASSO regression and decision tree analysis. Subsequently, a logistic model and nomogram were constructed. A restricted cubic spline (RCS) was used to calculate the optimal inflection point of quantitative data and the differences between the groups. The three-dimensional proportion of solid component (PSC), sex, and smoking status was identified as being highly correlated diagnostic factors for solid predominant adenocarcinoma. The logistic model had good prediction efficiency, and the area under the ROC curve was 0.85. Decision curve analysis demonstrated that the application of diagnostic factors can improve patient outcomes. RCS analysis indicated that the proportion of solid adenocarcinomas increased by 4.6 times when the PSC was ≥72%. A PSC of 72% is a good cutoff point. The preoperative diagnosis of solid-pattern adenocarcinoma can be confirmed by typical imaging features and clinical characteristics, assisting the thoracic surgeon in developing a more precise surgical plan.

Serum immunoglobulin A levels: Diagnostic utility in alcoholic liver disease and association with liver fibrosis in steatotic liver disease.

The relationship between immunoglobulin A (IgA) levels and chronic liver disease remains poorly understood. The present study evaluated the clinical significance of IgA in 478 new patients who visited the Outpatient Clinic of Nagasaki Harbor Medical Center (Nagasaki, Japan). Serum IgA levels in comparison to liver stiffness (LS), as measured using a FibroScan® device, were evaluated in 358 patients. Furthermore, in 270 patients, the associations between serum IgA levels and body composition were analyzed using computed tomography. The IgA levels of patients in the groups with Child-Pugh classification B and C (CPGBC), alcoholic liver disease (ALD), steatotic liver disease (SLD) or diabetes were higher than the IgA levels of patients in the groups with CPGA, non-ALD, non-SLD or no diabetes, respectively. Logistic regression analysis showed that CPGBC, ALD, high IgG (>1,700 mg/dl), high macrophage galactose-specific lectin-2 binding protein glycosylation isomer (M2BPGi) (>1 cut-off index) and diabetes were contributing factors for high serum IgA level (>410 mg/dl). The ratio of IgA level divided by IgG level was highest in patients with ALD, followed by those with metabolic dysfunction-associated SLD (MASLD) and non-SLD. In SLD, IgA level was associated more with LS than M2BPGi and fibrosis-4 (FIB-4) in multiple regression analysis. In the receiver operating characteristic analysis, IgA level, M2BPG, and FIB-4 had similar area under the curve values for discriminating high LS (>8 kPa) from low LS (≤8 kPa) in SLD. IgA levels were also associated with visceral fat, and this association was only found in women. In conclusion, elevated IgA is an indicator of liver fibrosis that also reflects the presence of diabetes and an increased visceral fat level. Therefore, IgA is considered a useful marker of liver disease severity in the current era of increased SLD.

The Society of Thoracic Surgeons Intermacs 2024 Annual Report: Focus on Outcomes in Younger Patients

The 15th Annual Report from The Society of Thoracic Surgeons (STS) Interagency Registry for Mechanically Assisted Circulatory Support (Intermacs) includes 29,634 continuous-flow left ventricular assist devices (LVAD) from the 10-year period between 2014 through 2024. The outcomes reported here demonstrate continued improved survival in the current era of fully magnetically levitated (Mag-Lev) devices, with a significantly higher 1-year (85.7% versus 78.4%) and 5-year (59.7% versus 43.7%) survival than those receiving non-Mag-Lev devices. Mag-Lev recipients are experiencing a lower incidence of adverse events, including freedom from GI bleeding (72.6%), device malfunction (82.9%) and stroke (86.7%) at 5 years. Additionally, a focus on a subgroup of patients less than 50 years of age have demonstrated superior outcomes in both survival (91.6% survival at 1 year and 72.6% survival at 5 years) and decreased incidence of adverse events compared to older recipients. This younger cohort also demonstrated more tolerance to the characteristics of sex, race, ethnicity and psychosocial indicators that are associated with worse outcomes following heart transplantation (HT). Based upon these data, a potential net prolongation of life may be realized by considering prolonged LVAD support prior to HT in this population. These analyses provide preliminary data that could positively influence adoption of LVAD technology in groups previously not seen as candidates for this therapy, while providing a more responsible donor allocation strategy for advanced heart failure patients.

TCT-857 Racial Disparities in the Current Era of Transcatheter Aortic Valve Replacement: An Analysis of the National Inpatient Sample Database

TCT-857 Racial Disparities in the Current Era of Transcatheter Aortic Valve Replacement: An Analysis of the National Inpatient Sample Database

Understanding the Complex Interplay of Epigenetic Factors in Atherosclerosis: A Review

This review focuses on the epigenetic factors that play a vital role in the formation of plaques and lead to atherosclerosis and related diseases in humans during current times. Apart from the epigenetics there are plenty more factors that influence the atherosclerotic risk in the older population of the current era. Lack of physical activities has become one of the most commonly found traits that causes obesity in people especially the middles aged adults. People working 9 - 5 in an office, or an IT firm tend spend idle time with their computer for 4 - 5 consecutive hours with barely changing their position. Lack of exercise tends to affect not only the physical health but also stress a person mentally. Chronic inflammatory diseases like atherosclerosis have a major role in the morbidity and mortality from cardiovascular disease worldwide. Atherosclerotic plaques are created by the pathophysiological process of lipids, inflammatory cells and fibrous components gradually accumulating within artery walls. Endothelial dysfunction signals the start of atherosclerosis and allows low-density lipoproteins (LDL) to enter the subendothelial region. Oxidative stress-induced changes in retained low-density lipoprotein (LDL) set off an inflammatory cascade that draws T cells and monocytes to the site of the lesion. The interaction of these immune cells with the local vascular cells encourages the production of foam cells, which fills the plaque’s centre with lipids. Smooth muscle cells multiply and help produce fibrous caps as the lesion ages, which affects the stability of the plaque. Studies shows how the brain responds to physical labour and how differently the effectively the enzymes and hormones are secreted, and their actions are vastly guided based on the physical stress an individual undergoes. Among the most prominent causes of atherosclerosis epigenetics has been focussed majorly in this review, where we focus on the underlying genetic factors that play a vital role in atherosclerosis and related cardiovascular diseases and also the genetic approach to a treatment is also elaborated. A number of miRNAs are involved in the cause/cure for the atherosclerosis, the following tables give an outlook regarding the same. This review aims to focus on the causes, risk factors, pathophysiology and the treatment and therapies that are currently available all the way concentrating on the genetic approach in the above-mentioned perspective. HIGHLIGHTS The review revolves around the modifiable and non-modifiable risk factors leading to atherosclerosis. Key risk factors and epigenetics causes of atherosclerosis and atherosclerosis related Cardio vascular Diseases (CVD). The article explains in detail regarding the pathophysiology of atherosclerosis. The progression and stages of atherosclerosis. GRAPHICAL ABSTRACT