The Complicated Genetics Behind Uncomplicated Type B Aortic Dissection.

Introduction: Up to 50% of uncomplicated type B aortic dissection (unTBAD) cases progress to become complicated with a mortality rate of up to 42% within 5 years of onset. Morphological and clinical parameters have previously been defined for the decision of surgical intervention in unTBAD to improve clinical outcomes. The analysis of genetic variants in this risk stratification has demonstrated a lack of evidence to influence clinical decision-making.

Intrathecal magnesium sulphate as an adjuvant to bupivacaine for infraumbilical surgeries: An updated systematic review and meta-analysis.

Background And Aims: Intrathecal anaesthesia is widely used for infraumbilical surgeries due to its effectiveness in providing pain relief during and after the operation. Adding magnesium sulphate (MgSO) to intrathecal local anaesthetics can prolong analgesia, reduce postoperative analgesic requirements and improve the management of shivering perioperatively. This review aims to investigate the use of intrathecal adjuvant MgSO4 for anaesthesia in infraumbilical surgeries.

A facile synthesis of silver nanoparticles using Woodfordia fruticosa flower extracts for certain bacteria inhibition applications.

The present research focused on extraction of bioactive compounds from Woodfordia fruticosa flower (WF) using ethanol, methanol and ethyl acetate as solvents and the development of silver nanoparticles using these extracts for inhibition of (), (), (), and Bacillus cereus (B. cereus) bacteria. The functional groups of bioactive compounds present in the solvent extracts were characterized using Fourier transform infrared spectroscopy (FT-IR).

Quest for environmental management and sustainability: Evaluating the drivers of territorial and consumption-based carbon emissions in G-20 economies.

The rising levels of carbon emissions are a significant concern for global environmental management and sustainability. The situation is further exacerbated by increasing economic activities and unsustainable practices, particularly in G-20's economies. This study explores how environmental efficiency, natural resource rents, banking development, energy transition, industrial value addition and economic growth shape territorial and consumption-based carbon emissions across G20 economies from 1996 to 2020.

Genome-Wide Association Study for Resting Electrocardiogram in the Qatari Population Identifies 6 Novel Genes and Validates Novel Polygenic Risk Scores.

Background: Electrocardiography is one of the most valuable noninvasive diagnostic tools in determining the presence of many cardiovascular diseases. Genetic factors are important in determining ECG abnormalities and their link to cardiovascular diseases. Genome-wide association studies and polygenic risk scores (PRSs) have been conducted for various ECG traits such as QT interval and QRS duration.

The compressive strength development and pH of cement mortars incorporating high volume supplementary cementitious materials under accelerated curing.

The durability and service life of concrete structures is primarily dependent on the performance of cement-based material (CBM). This performance of CBMs is linked to their pH directly. Literature suggests that when supplementary cementitious materials (SCMs) are used, the pH of CBMs decreases as a result Ca(OH)₂ consumption during the Pozzolanic reaction (PR).

Striving towards green total factor productivity: A bibliometric and systematic literature review for future research agenda.

In response to escalating environmental challenges and the pressing need for sustainable energy solutions, policymakers are increasingly focusing on Green Total Factor Productivity (GTFP) as a vital metric for sustainable economic growth. The present study examines the role of GTFP in addressing both economic and environmental objectives by incorporating energy efficiency and pollution mitigation within productivity analysis. The study provides a comprehensive examination of GTFP, with emphasis on major determinants such as agglomeration, environmental regulation, industrial structure, and green finance.

MRI-Based Topology Deep Learning Model for Noninvasive Prediction of Microvascular Invasion and Assisting Prognostic Stratification in HCC.

Background & Aims: Microvascular invasion (MVI) is associated with poor prognosis in hepatocellular carcinoma (HCC). Topology may improve the predictive performance and interpretability of deep learning (DL). We aimed to develop and externally validate an MRI-based topology DL model for preoperative prediction of MVI.

Effect of Forage-Free Diet on the Growth Performance, Feed Efficiency, Blood Metabolites, and Mammary Gland Parenchyma of Prepubertal Holstein Heifers.

Variation in nutritional profile and availability of high-quality forages remain primary challenges for efficient heifer rearing on a forage-based diet. This study aimed to evaluate the effect of limit feeding forage-free diet on growth performance, feed efficiency, blood metabolites, behavior, health, and mammary parenchyma of prepubertal dairy heifers. Sixteen prepubertal heifers (Body weight = 168 ± 32Kg) divided into 8 pens (2 heifers/pen) were used in a completely randomized design (n = 4 pen/treatment) to compare the effect of a diet containing 20% forage with a forage-free diet.

Current State of Evidence for Use of MRI in LI-RADS.

The American College of Radiology Liver Imaging Reporting and Data System (LI-RADS) is the preeminent framework for classification and risk stratification of liver observations on imaging in patients at high risk for hepatocellular carcinoma. In this review, the pathogenesis of hepatocellular carcinoma and the use of MRI in LI-RADS is discussed, including specifically the LI-RADS diagnostic algorithm, its components, and its reproducibility with reference to the latest supporting evidence. The LI-RADS treatment response algorithms are reviewed, including the more recent radiation treatment response algorithm.

Marine life as a source of anti-prostate cancer agents: an updated overview (2003-2023).

Cancer is the deadliest threat that human beings are currently facing. Prostate cancer is the second largest cancer in males all over the world. During the last decade, scientists made breakthroughs in combatting this deadliest threat through naturally identified drugs.

Potential protective role of parsley on induced tongue carcinogenesis in albino rats.

Background: Parsley has been traditionally used as a food additive and herbal medicament. The flavonoid apigenin and its glycosides constitute the most abundant phenolic compounds found in parsley. They exhibit numerous pharmacological effects, including antioxidant, anti-inflammatory, antitoxic, and anticancer properties.

Symmetrical polyarthritis in IgG4-related sialadenitis: a diagnostic challenge with seronegative rheumatoid arthritis.

Background: IgG4-related disease (IgG4-RD) is a systemic fibro-inflammatory condition characterized by elevated IgG4 serum levels and tissue infiltration by IgG4-positive plasma cells. While often presenting with organ-specific involvement, such as sialadenitis or pancreatitis, its rheumatologic manifestations are rare and poorly understood. IgG4-RD often overlaps with autoimmune diseases such as rheumatoid arthritis (RA), posing a diagnostic challenge, particularly in seronegative presentations.

Unveiling 2-isopropyl-5-methylphenol's immunomodulatory potential in breast cancer: A synergistic computational and laboratory investigation.

Tumor cells evade immune surveillance and promote their growth by modulating immune checkpoint molecules (ICMs). Various breast cancer subtypes have demonstrated the involvement of these molecules, promoting the investigation of natural compounds for immunomodulatory potential. 2-Isopropyl-5-methylphenol, a bioactive monoterpenoid found in several plant species, was evaluated for its impact on breast cancer immunomodulation.

Computational Phenotyping of Obstructive Airway Diseases: A Systematic Review.

Introduction: Computational sciences have significantly contributed to characterizing airway disease phenotypes, complementing medical expertise. However, comparing studies that derive phenotypes is challenging due to varying decisions made during phenotyping. We conducted a systematic review to describe studies that utilized unsupervised computational approaches for phenotyping obstructive airway diseases in children and adults.

Estimation of yield and nitrogen use efficiencies in hybrid maize varieties through site specific nitrogen management based on leaf color chart (LCC).

Exorbitant praxis of nitrogen pioneered and opened up the usage of time-specific and need-based nitrogen management. The leaf color chart (LCC), being one of the handy tool, is put to use for the estimation of the indirect leaf N, and also heightens the competence of crop N administration. Integrating leaf color chart assessments into maize cultivation practices can provide a practical and cost-effective approach for tailoring nitrogen applications, leading to improved resource-use efficiency and sustainable maize production.

A mechanistic overview on green assisted formulation of nanocomposites and their multifunctional role in biomedical applications.

The importance of nanocomposites constantly attains attention because of their unique properties all across the fields especially in medical perspectives. The study of green-synthesized nanocomposites has grown to be extremely fascinating in the field of research. Nanocomposites are more promising than mono-metallic nanoparticles because they exhibit synergistic effects.

Multi-scale computational modeling to identify novel chemical scaffolds as trehalose-6-phosphate phosphatase inhibitors to combat .

Unlabelled: causes melioidosis, a deadly infection having high fatality rates (20-50%) and antibiotic resistance, however, there's no effective drug or vaccine available. Trehalose is a vital sugar for which influences the pathogen resilience and pathogenicity. This proposed computational strategy focuses on developing novel drugs against Trehalose-6-phosphate Phosphatase (TPP) to combat infections.

Time is aorta in uncomplicated type B aortic dissection.

Background: While cardiovascular control optimization through best medical therapy (BMT) remains the gold standard of treatment for uncomplicated type B aortic dissection (uTBAD) according to international guidelines, thoracic endovascular aortic repair (TEVAR) has increasingly emerged as a viable and appealing treatment option due to its potential to induce favourable aortic remodelling and improve long-term outcomes. However, the optimal timing of TEVAR in uTBAD remains debatable. This narrative review aims to evaluate the safety, efficacy, and outcomes of TEVAR at different time points in the disease history.

Curative Parathyroidectomy in Primary Hyperparathyroidism Improves Both Systolic and Diastolic Cardiac Dysfunction: A Six-Month Follow-Up Study at a Tertiary Care Hospital.

Background: Primary hyperparathyroidism (PHPT) is associated with hypertension, left ventricular hypertrophy, and myocardial and valvular calcifications, leading to increased mortality rates. While the association between PHPT and diastolic dysfunction has been well-documented, data on systolic dysfunction and its reversal after curative parathyroidectomy (PTX) remains limited.

Purpose: To evaluate the effect of PTX on cardiovascular parameters, especially systolic dysfunction, in PHPT patients using conventional and speckle-tracking echocardiography (STE).

Imaging-based prediction of early recurrence and neoadjuvant therapy outcomes for resectable beyond Milan HCC.

Purpose: To develop and validate an MRI-based model for predicting postoperative early (≤2 years) recurrence-free survival (RFS) in patients receiving upfront surgical resection (SR) for beyond Milan hepatocellular carcinoma (HCC) and to assess the model's performance in separate patients receiving neoadjuvant therapy for similar-stage tumors.

Method: This single-center retrospective study included consecutive patients with resectable BCLC A/B beyond Milan HCC undergoing upfront SR or neoadjuvant therapy. All images were independently evaluated by three blinded radiologists.

Physiology of bridging stent grafts after fenestrated/branched endovascular aortic repair: Where translational science meets the clinical profile.

Fenestrated/branched endovascular aortic repair emerges as the primary therapeutic modality for intricate aortic pathologies encompassing the paravisceral and thoracoabdominal segments, where bridging stent grafts (BSGs) play a vital role in linking the primary aortic endograft with target vessels. Bridging stent grafts can be categorized mainly into self-expanding stent grafts (SESGs) and balloon-expandable stent grafts (BESGs). Physiological factors significantly influence post-complex endovascular aortic repair BSG behaviour, impacting clinical outcomes of SESGs and BESGs in different but overlapping ways.

A novel poly(amidoamine)-modified electrolyte-insulator-semiconductor-based biosensor for label-free detection of ATP.

Adenosine triphosphate (ATP) is crucial for cellular activity. The need for ATP detection in the field of biomedicine is rapidly increasing. Several biosensor-based approaches have been developed as a result of the growing demand for ATP detection.