Repurposing of dibucaine and niflumic acid as antimicrobial agents in combination with antibiotics against Staphylococcus aureus.

The versatile human commensal bacteria and pathogen Staphylococcus aureus cause several community and hospital-acquired illnesses associated with significant morbidity and death. Antibiotic therapy for S. aureus infections has grown increasingly difficult as the organism has developed a wide spectrum of antibiotic resistance mechanisms. This situation emphasizes the significance of developing and advocating new antimicrobials for preventative and therapeutic measures. Our study aimed to identify and evaluate new therapeutic options against S. aureus. We investigated the efficacy of two drugs, dibucaine, and niflumic acid, as potential adjuvant for anti-staphylococcal therapeutics. Dibucaine and niflumic acid found to have bactericidal activity against S. aureus. These drugs acted synergistically with antibiotics reducing the required dose of antibiotics up to 4 times. In combination with antibiotics, they were effectively and synergistically inhibited the formation of biofilms of S. aureus. The best synergistic partner of dibucaine was with kanamycin and tetracycline, whereas niflumic acid was with streptomycin and ampicillin. Both the drugs showed significant efflux inhibition in the bacteria. Moreover, the drugs are found to be safe at synergistic doses. Our findings suggest that dibucaine and niflumic acid could be potential adjuvant with antibiotics for the treatment of S. aureus infections. Their ability to significantly enhance the efficacy of antibiotics highlights their potential clinical significance as adjunct therapies.

Global needs for nitrogen fertilizer to improve wheat yield under climate change.

Increasing global food demand will require more food production1 without further exceeding the planetary boundaries2 while simultaneously adapting to climate change3. We used an ensemble of wheat simulation models with improved sink and source traits from the highest-yielding wheat genotypes4 to quantify potential yield gains and associated nitrogen requirements. This was explored for current and climate change scenarios across representative sites of major world wheat producing regions. The improved sink and source traits increased yield by 16% with current nitrogen fertilizer applications under both current climate and mid-century climate change scenarios. To achieve the full yield potential-a 52% increase in global average yield under a mid-century high warming climate scenario (RCP8.5), fertilizer use would need to increase fourfold over current use, which would unavoidably lead to higher environmental impacts from wheat production. Our results show the need to improve soil nitrogen availability and nitrogen use efficiency, along with yield potential.

Imbalance in the vWF - ADAMTS13 axis exists early in acute pancreatitis and predicts persistent organ failure and pancreatic necrosis-a prospective study.

BACKGROUND: The pathophysiology of Acute Pancreatitis (AP) may be complicated by endothelial activation. von Willebrand Factor (vWF)- ADAMTS13 axis is a marker of endothelial activation. The study aimed to investigate the axis in AP, comparing it in patients with and without persistent organ failure (OF), with and without pancreatic necrosis, and correlating it with the standard severity scores (CRP, APACHE II, BISAP, SOFA, and qSOFA) METHODS: vWF-Antigen (vWF:Ag), vWF-Collagen-Binding-Assay (vWF:CBA), and ADAMTS13 activity (ADAMTS13:act) levels were measured within 5 days of symptom onset in consecutive patients (n = 98), who were admitted with a first episode of AP (Dec 2021-May 2023). RESULTS: Of the 98 patients admitted with AP, 78(79.6 %) had no or transient OF; 20(20.4 %) had persistent OF. Age was comparable (43.73 ± 15.36 vs 38.65 ± 13.69) [mean ± SD](years), and males were predominant in both groups (70.5 % vs 80 %). Patientswith persistent OF had higher vWF:CBA(%)[323(279-486.5) vs 199.5(159.1-295.75)] and lower ADAMTS13:act(%)[35.4(23.8-56.85) vs 56.35(44.1-71.9)][median (25th - 75th percentile)](P = 0.001) than those with no or transient OF. Patients with pancreatic necrosis (n = 19) had lower ADAMTS13:act(%)[42.79 ± 18.69] than those without pancreatic necrosis (n = 18) [62.49 ± 22.64] (P < 0.01). ADAMTS13:act had a negative correlation(r = -0.2), whereas vWF:Ag and vWF:CBA had a positive correlation (r = 0.2) with the standard severity scores (P < 0.05). ADAMTS13:act could predict pancreatic necrosis [AUROC-0.737, P < 0.05] and persistent OF [AUROC-0.746, P < 0.001], while vWF:CBA could predict persistent OF [AUROC- 0.73, P < 0.001]. CONCLUSION: vWF-ADAMTS13 axis helps to predict severe disease and is associated with poor outcomes in acute pancreatitis.

Role of mitochondrial ribosomal protein L7/L12 (MRPL12) in diabetic ischemic heart disease.

BACKGROUND: Myocardial infarction (MI) is a significant cause of death in diabetic patients. Growing evidence suggests that mitochondrial dysfunction contributes to heart failure in diabetes. However, the molecular mechanisms of mitochondrial dysfunction mediating heart failure in diabetes are still poorly understood. METHODS: The current study aimed to investigate the role of mitochondrial ribosomal protein L7/L12 (MRPL12) in human heart. Mitochondrial oxygen consumption rate and membrane potential was determined using Seahorse analysis and confocal microscopy respectively. Data was analyzed by using the mean of the groups was compared using a student t-test (for 2 groups) and ANOVA, followed by a Tukey test (for >2 groups). RESULTS: We found increased MRPL12 levels in heart tissue samples of diabetic patients with ischemic heart disease compared to non-diabetic patients. With the overexpression of MRPL12 under hyperglycemic conditions, the level of oxidative phosphorylation (OXPHOS) was found downregulated, but cellular ATP and human cardiomyocyte cell death remained unchanged, However, there was notable impairment in mitochondrial membrane potential (MMP) in hyperglycemia condition, along with changes in basal respiration oxygen consumption rate (OCR) and maximal respiratory capacity OCR. CONCLUSIONS: Overall, our results suggest that MRPL12 may have a compensatory role in the diabetic myocardium with ischemic heart disease, suggesting that MRPL12 may implicate in the pathophysiology of MI in diabetes.

Association of anaemia with indoor air pollution among older Indian adult population: multilevel modelling analysis of nationally representative cross-sectional study.

INTRODUCTION: Anaemia is a disease of public health importance with multi-causal pathways. Previous literature suggests the role of indoor air pollution (IAP) on haemoglobin levels, but this has been studied less due to logistic constraints. A high proportion of the population in developing countries, including India, still depends on unclean fuel, which exacerbates IAP. The objective was to study the association between anaemia and IAP among the older Indian adult population (≥ 45 years) as per gender. METHODS: Our study analysed the nationally representative dataset of the Longitudinal Ageing Study in India (LASI 2017-18, Wave-1). We have documented the association of anaemia (outcome variable) with IAP (explanatory variable). To reduce the confounding effects of demographic and socioeconomic; health related and behavioural covariates; propensity score matching (PSM) was conducted. Nested multilevel regression modelling was conducted. States and union territories were categorised cross tabulated as low, middle and high as per anaemia and IAP exposure. P value < 0.05 was considered statistically significant. SATA version 17 was used for analysis. RESULTS: More than half (52.52%) of the participants were exposed to IAP (male (53.55%) > female (51.63%)). The odds of having anaemia was significantly 1.19 times higher (AOR 1.19 (1.09-1.31)) among participants using unclean/ solid fuel. The adjusted odds were significantly higher among participants exposed to pollution-generating sources (AOR 1.30; 1.18-1.43), and household indoor smoking (AOR 1.17 (1.07-1.29). The odds of having anaemia were significantly higher (AOR 1.26; 1.15-1.38) among participants exposed to IAP, which was higher in males (AOR 1.36; 1.15-1.61) than females (AOR 1.21; 1.08-1.35). Empowered Action Group (EAG) states like Uttar Pradesh, Chhattisgarh, Madhya Pradesh, Bihar had both high anaemia and IAP exposure. CONCLUSION: This study established the positive association of anaemia with indoor air pollution among older Indian adults through a nationally representative large dataset. The association was higher among men. Further research is recommended to understand detailed causation and to establish temporality. It is a high time to implement positive intervention nationally to decrease solid/ unclean fuel usage, vulnerable ventilation, indoor smoking, IAP and health hazards associated with these with more focused actions towards EAG states.

Effect of preconception multiple micronutrients vs. iron-folic acid supplementation on maternal and birth outcomes among women from developing countries: a systematic review and meta-analysis.

Background: Maternal malnutrition affects the somatic growth of the fetus and subsequent adverse events during infancy and childhood period. Though trials have been conducted on multiple micronutrient (MMN) supplements initiated during the preconception period, there is no collated evidence on this. Materials and methods: We performed a systematic review of published trials with the application of Grading of Recommendations Assessment, Development, and Evaluation (GRADE). The searches were conducted until 30 September 2023. Meta-analysis was performed using Review Manager 5 software. The primary objective was to compare the effect of preconception MMN vs. iron-folic acid (IFA) supplementation on newborn anthropometric parameters at birth. Results: Of the 11,832 total citations retrieved, 12 studies with data from 11,391 participants [Intervention = 5,767; Control = 5,624] were included. For the primary outcome, there was no significant difference in the birth weight [MD, 35.61 (95% CI, -7.83 to 79.06), p = 0.11], birth length [MD, 0.19 (95% CI, -0.03 to 0.42), p = 0.09], and head circumference [MD, -0.25 (95% CI, -0.64 to -0.14), p = 0.22] between the MMN and control groups. For all the secondary outcomes [except for small for gestational age (SGA) and low birth weight (LBW)], the difference between the MMN and control groups was not significant. The GRADE evidence generated for all the outcomes varied from "very low to moderate certainty." Conclusion: A "very low certainty" of evidence suggests that MMN supplementation may not be better than routine IFA supplementation in improving newborn anthropometric parameters (weight, length, and head circumference). The adverse events resulting from the supplementation were not significant. We need better quality uniformly designed RCTs before any firm recommendation can be made.Systematic review registration: identifier (CRD42019144878: https://www.crd.york.ac.uk/prospero/#searchadvanced).

Edema India: Executive Summary of Screening, Diagnosis, and Management of Edema.

The management of edema requires a systematic approach to screening, diagnosis, and treatment, with an essential initial assessment to differentiate between generalized and localized edema. The Association of Physicians of India (API) aimed to develop the first Indian Edema Consensus (Edema India), offering tailored recommendations for screening, diagnosing, and managing edema based on the insights from the expert panel. The panel suggested when evaluating edema symptoms, important factors to consider include the patient's current illness, medical history, risk factors, family history, and medications. Key diagnostic investigations for edema include complete blood count, cardiovascular imaging and markers, deep vein thrombosis (DVT) assessment, along with renal, hepatic, and thyroid function tests. Edema management involves a combination of pharmacologic and nonpharmacologic interventions, including limb elevation, physiotherapy, compression therapy, fluid removal, diuretics (loop diuretics: first-line therapy), and a sodium-restricted diet. The panel believed that educating patients could foster a preventive mindset, helping to prevent the worsening of edema.

Smart e-waste management: a revolutionary incentive-driven IoT solution with LPWAN and edge-AI integration for environmental sustainability.

Managing e-waste involves collecting it, extracting valuable metals at low costs, and ensuring environmentally safe disposal. However, monitoring this process has become challenging due to e-waste expansion. With IoT technology like LoRa-LPWAN, pre-collection monitoring becomes more cost-effective. Our paper presents an e-waste collection and recovery system utilizing the LoRa-LPWAN standard, integrating intelligence at the edge and fog layers. The system incentivizes WEEE holders, encouraging participation in the innovative collection process. The city administration oversees this process using innovative trucks, GPS, LoRaWAN, RFID, and BLE technologies. Analysis of IoT performance factors and quantitative assessments (latency and collision probability on LoRa, Sigfox, and NB-IoT) demonstrate the effectiveness of our incentive-driven IoT solution, particularly with LoRa standard and Edge AI integration. Additionally, cost estimates show the advantage of LoRaWAN. Moreover, the proposed IoT-based e-waste management solution promises cost savings, stakeholder trust, and long-term effectiveness through streamlined processes and human resource training. Integration with government databases involves data standardization, API development, security measures, and functionality testing for efficient management.

Observational evidence of changing cloud macro-physical properties under warming climate over the Indian summer monsoon region.

The cloud responses to global warming are captured in various global climate models with distinct inferences on changes in cloud vertical structure as function of surface warming. However, long term observational evidences are scarce to validate the model outputs. Here, we have studied the changes in radiosonde derived cloud macro-physical properties and their association with other atmospheric variables during the period 2000-2019 in response to warming climate over the Indian summer monsoon region. We have observed a statistically significant increase in the frequency of cloudy days (∼13 % decade-1), high-level clouds (HLCs ∼11 % decade-1) and simultaneous decrease in low-level clouds (LLCs ∼8 % decade-1) over the Indian region during the monsoon season. The multiple linear regression, principle component analyses and further correlation analyses suggest significant associations between cloud vertical structure variations and large-scale climate indicators, such as global warming and El Niño-Southern Oscillation. The vertical extension of the tropospheric column and the upward shift of clouds, attributed to global warming, explain the changes observed in both HLCs and LLCs. These results contribute to a deeper understanding of the dynamic interplay between global climate change and regional cloud dynamics, with implications for weather and climate modeling.

Anti-A and anti-B titers in A, B and O whole blood donors: Beyond "dangerous O".

BACKGROUND AND OBJECTIVES: Hemolytic transfusion reactions (HTRs) pose significant risks in transfused patients, with anti-A and anti-B antibodies in donor plasma being potential contributing factors. Despite advancements in component preparation, HTRs remain a concern, particularly with apheresis-derived platelets. This study aimed to determine the prevalence of high anti-A and anti-B titers among A, B, and O blood group donors and to explore factors associated with high titers. MATERIALS AND METHODS: A cross-sectional observational study was conducted over 18 months, enrolling 978 participants from a tertiary care teaching hospital in Western India. Anti-A and anti-B titers were determined using the Conventional Tube Technique (CTT). Statistical analysis assessed correlations between high titers and demographic factors. RESULTS: The majority of participants were young males (98.8%). Prevalence of high titers for IgM anti-A was 12.2% and IgG anti-A was 2.5%. For anti-B, IgM titers were 2.3% and IgG titers were 0.2%. The prevalence of dangerous O was found to be 14.1%, while 3.52% and 10.5% of A and B blood group donors were found to have high titers, respectively. Factors associated with high titers included female gender, vegetarian diet, age <30 years, and O blood group. CONCLUSION: The study sheds additional light and provides supplementary information regarding the prevalence and correlation of high anti-A and anti-B titers among O, A and B blood donors. Understanding these factors is crucial for optimizing transfusion safety protocols, including selective screening of platelet units and tailored transfusion strategies based on donor characteristics.

Machine learning for the advancement of genome-scale metabolic modeling.

Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the interrelations between genotype, phenotype, and external environment. The recent advancement of high-throughput experimental approaches and multi-omics strategies has generated a plethora of new and precise information from wide-ranging biological domains. On the other hand, the continuously growing field of machine learning (ML) and its specialized branch of deep learning (DL) provide essential computational architectures for decoding complex and heterogeneous biological data. In recent years, both multi-omics and ML have assisted in the escalation of CBM. Condition-specific omics data, such as transcriptomics and proteomics, helped contextualize the model prediction while analyzing a particular phenotypic signature. At the same time, the advanced ML tools have eased the model reconstruction and analysis to increase the accuracy and prediction power. However, the development of these multi-disciplinary methodological frameworks mainly occurs independently, which limits the concatenation of biological knowledge from different domains. Hence, we have reviewed the potential of integrating multi-disciplinary tools and strategies from various fields, such as synthetic biology, CBM, omics, and ML, to explore the biochemical phenomenon beyond the conventional biological dogma. How the integrative knowledge of these intersected domains has improved bioengineering and biomedical applications has also been highlighted. We categorically explained the conventional genome-scale metabolic model (GEM) reconstruction tools and their improvement strategies through ML paradigms. Further, the crucial role of ML and DL in omics data restructuring for GEM development has also been briefly discussed. Finally, the case-study-based assessment of the state-of-the-art method for improving biomedical and metabolic engineering strategies has been elaborated. Therefore, this review demonstrates how integrating experimental and in silico strategies can help map the ever-expanding knowledge of biological systems driven by condition-specific cellular information. This multiview approach will elevate the application of ML-based CBM in the biomedical and bioengineering fields for the betterment of society and the environment.

Mycobacteriophages: therapeutic approach for mycobacterial infections.

Tuberculosis (TB) is a significant global health threat, and cases of infection with non-tuberculous mycobacteria (NTM) causing lung disease (NTM-LD) are rising. Bacteriophages and their gene products have garnered interest as potential therapeutic options for bacterial infections. Here, we have compiled information on bacteriophages and their products that can kill Mycobacterium tuberculosis or NTM. We summarize the mechanisms whereby viable phages can access macrophage-resident bacteria and not elicit immune responses, review methodologies of pharmaceutical product development containing mycobacteriophages and their gene products, mainly lysins, in the context of drug regulatory requirements and we discuss industrially relevant methods for producing pharmaceutical products comprising mycobacteriophages, emphasizing delivery of mycobacteriophages to the lungs. We conclude with an outline of some recent case studies on mycobacteriophage therapy.

The Dilemma of Insulin Delivery into the Brain: A Comprehensive Review.

Insulin is a peptide hormone that is essential for regulating body homeostasis. Furthermore, it is involved in various neurological functions such as memory, behaviors, and cognition. The ubiquitous distribution of insulin receptors on various brain cells, such as neurons, microglia, astrocytes, and oligodendrocytes, and their differential localization across various brain regions, including the hippocampus, hypothalamus, and olfactory bulb, collectively underscore the crucial involvement of insulin in the modulation of cerebral functions. Along with ageing, in some pathological conditions such as diabetes and brain insulin resistance, the need for exogenous insulin is felt to compensate for insulin deficiency. In these cases, the biggest obstacle to the delivery of insulin to the brain is the blood-brain barrier (a physical barrier consisting of endothelial cells with tight junctions), which prevents the direct entry of most substances possessing high molecular weight, like insulin, into the brain. Therefore, different delivery methods have been proposed by researchers for insulin delivery that directly or indirectly cause the transfer of insulin to the brain. Some of these methods lack high efficiency and cause many side effects for the patient. In this regard, many new technologies have come to the aid of researchers and have introduced more effective delivery strategies, including the use of nanocarriers. Despite the promising outcomes demonstrated in the experimental models, the utilization of these techniques in human studies remains at a nascent stage and necessitates further comprehensive investigation. This review article aims to examine the diverse methods of insulin administration to the brain by gathering extensive information on insulin and its obstacles to brain delivery.

Physical unclonable function using photonic spin Hall effect.

This study presents a novel method leveraging surface wave-assisted photonic spin Hall effect (PSHE) to construct physical unclonable functions (PUFs). PUFs exploit inherent physical variations to generate unique Challenge-Response pairs, which are critical for hardware security and arise from manufacturing discrepancies, device characteristics, or timing deviations. We explore PSHE generation-based PUF design, expanding existing design possibilities. With recent applications in precise sensing and computing, PSHE offers promising performance metrics for our proposed PUFs, including an inter-Hamming distance of 47.50% , an average proportion of unique responses of 62.5% , and a Pearson correlation coefficient of - 0.198. The PUF token demonstrates robustness to simulated noise. Additionally, we evaluate security using a machine learning-based attack model, employing a multi-layer perceptron (MLP) regression model with a randomized search method. The average accuracy of successful attack prediction is 9.70% for the selected dataset. Our novel PUF token exhibits high non-linearity due to the PSHE effect, resilience to MLP-based attacks, and sensitivity to process variation.

Exploring Marine Alkaloids: A Natural Approach to Cancer Treatment.

Cancer is one of the most complicated and prevalent diseases in the world, and its incidence is growing worldwide. Natural products containing pharmacological activity are widely used in the pharmaceutical industry, especially in anticancer drugs, due to their diverse structures and distinctive functional groups that inspire new drug results by means of synthetic chemistry. Terrestrial medicinal plants have traditionally been the primary source for developing natural products (NPs). However, over the past thirty years, marine organisms such as invertebrates, plants, algae, and bacteria have revealed many new pharmaceutical compounds known as marine NPs. This field constantly evolves as a discipline in molecular targeted drug discovery, incorporating advanced screening tools that have revolutionised and become integral to modern antitumor research. This review discusses recent studies on new natural anticancer alkaloids obtained from marine organisms. The paper illustrates the structure and origin of marine alkaloids and demonstrates the cytotoxic action of new alkaloids from several structural families and their synthetic analogs. The most recent findings about the potential or development of some of them as novel medications, together with the status of our understanding of their current mechanisms of action, are also compiled.

Trial Sequential Analysis and Meta-Analysis of Olanzapine in Pediatric Patients for Chemotherapy-Induced Nausea and Vomiting (CINV).

Background and Objective: Olanzapine (OLZ) containing regimens are approved in adults for chemotherapy-induced nausea and vomiting (CINV) receiving highly emetogenic chemotherapy (HEC) or moderately emetogenic chemotherapy (MEC), and the same has not been approved in the pediatric population. In order to generate data regarding the efficacy and safety of OLZ as an adjunct to the standard of care (SoC) for CINV in pediatric patients receiving HEC/MEC, the review authors performed this systematic review and meta-analysis. Methods: A systematic literature search was performed through the databases Cochrane Library, Pub Med, and clinicaltrials.gov, from inception to September 2023, using keywords: "chemotherapy" and "olanzapine," "nausea" and "vomiting." Randomized clinical trials published in English that analyzed the efficacy and safety of olanzapine as an adjunct to SoC were included. The essential outcomes included in this study were the proportion of patients with no emesis in the acute and delayed phase, patients with no nausea in the acute and delayed phase, the proportion of patients requiring rescue medication, and the proportion of patients with reduced CNS arousal. Results: In the OLZ group, a greater number of patients had no emesis both in the acute and delayed phase (RR = 1.22; 95% CI = 1.09-1.37; P = .0004); and (RR = 1.23; 95% CI = 0.92-1.63; P = .16) respectively. Similarly, a higher number of patients showed no nausea both in the acute and delayed phase (RR = 1.08; 95% CI = 0.78-1.48; P = .66) and (RR = 1.12; 95% CI = 0.79-1.61; P = .52) respectively. The use of rescue medication was significantly less in the OLZ group (RR = 0.62; 95% CI = 0.42-0.91; P = .01). More patients experienced reduced CNS arousal in the OLZ group (RR = 2.97; 95% CI = 2.02-4.38; P < .0001). Conclusions: Olanzapine as an adjunct to the SoC may be effective in acute emesis, which may also reduce the use of rescue medication. Reduced CNS alertness was the significant adverse effect observed. For other endpoints, more studies are required to substantiate its role in CINV.

Co-relation of gastrointestinal stromal tumors in a patient with leiomyoma cutis- A rare association.

INTRODUCTION AND IMPORTANCE: Cutaneous leiomyomas, benign tumors from smooth muscle fibers, constitute about 5 % of all leiomyomas. They exhibit diverse inheritance patterns and can be linked to systemic malignancies. Gastrointestinal stromal tumors (GISTs), arising from the interstitial cells of Cajal, are the most common mesenchymal tumors in the gastrointestinal tract. Despite their prevalence, simultaneous occurrences of cutaneous leiomyomas and GISTs are rare, necessitating exploration of their potential relationship. CASE PRESENTATION: A 25-year-old male with no significant medical history presented with multiple painful erythematous nodules on his chest, upper back, and arms. Histopathological analysis diagnosed these as multiple cutaneous piloleiomyomatosis. Despite recommendations for surgical intervention, the patient chose medical management and experienced significant pain relief with nifedipine. Later, the development of abdominal symptoms led to the discovery of multiple gastric lesions, diagnosed as benign spindle cell neoplasms, necessitating partial gastrectomy. CLINICAL DISCUSSION: The differential diagnosis of cutaneous leiomyomas includes various soft tissue tumors, requiring histopathological confirmation. Genetic mutations affecting proteins critical to cellular energy production and tumor suppression underlie these conditions. Treatment options include pharmacological management and surgical excision. The discovery of GISTs in this patient aligns with rare literature reports, emphasizing the need for vigilant evaluation of systemic malignancies in patients with leiomyomatosis. CONCLUSION: This case highlights the potential of cutaneous leiomyomas to indicate deeper malignancies like GISTs, stressing the importance of interdisciplinary collaboration in diagnosis and treatment. It underscores the interconnectedness of benign dermatological conditions and internal malignancies, advocating for comprehensive evaluation in patients with leiomyomatosis. METHODS: This case report meticulously follows the SCARE 2023 guidelines: updating consensus Surgical Case Report guidelines (Sohrabi et al., 2023 [1]). These guidelines ensure high-quality reporting in surgical case reports. The report details the evaluation, diagnosis, and a comprehensive review of the literature pertaining to a patient with multiple leiomyoma cutis associated with gastrointestinal stromal tumors. By employing a multidisciplinary approach, this report achieves a thorough and standardized presentation of the case, serving as an additional tool for raising awareness regarding such rare conditions.

Critical role of arterial constitutive model in predicting blood pressure from pulse wave velocity.

BACKGROUND: A promising approach to cuff-less, continuous blood pressure monitoring is to estimate blood pressure (BP) from Pulse Wave Velocity (PWV). However, most existing PWV-based methods rely on empirical BP-PWV relations and have large prediction errors, which may be caused by the implicit assumption of thin-walled, linear elastic arteries undergoing small deformations. Our objective is to understand the BP-PWV relationship in the absence of such limiting assumptions. METHOD: We performed Fluid-Structure Interaction (FSI) simulations of the radial artery and the common carotid artery under physiological flow conditions. In these dynamic simulations, we employed two constitutive models for the arterial wall: the linear elastic model, implying a thin-walled linear elastic artery undergoing small deformations, and the Holzapfel-Gasser-Ogden (HGO) model, accounting for the nonlinear effects of collagen fibers and their orientations on the large arterial deformation. RESULTS: Despite the changing BP, the linear elastic model predicts a constant PWV throughout a cardiac cycle, which is not physiological. The HGO model correctly predicts a positive BP-PWV correlation by capturing the nonlinear deformation of the artery, showing up to 50 % variations of PWV in a cardiac cycle. CONCLUSION: Dynamic FSI simulations reveal that the BP-PWV relationship strongly depends on the arterial constitutive model, especially in the radial artery. To infer BP from PWV, one must account for the varying PWV, a consequence of the nonlinear arterial response due to collagen fibers. Future efforts should be directed towards robust measurement of time-varying PWV if it is to be used to predict BP.