Imaging techniques for diagnosing and managing Peyronie disease.

Erectile dysfunction (ED) affects up to 50% of men to some degree and has a variety of physiologic and psychologic causes, but many patients do not seek specialist treatment. One cause of ED is Peyronie disease (PD) defined by the presence of fibrotic plaques in the tunica albuginea which cause painful penile contractures. While diagnosing PD relies on clinical history and a focused history and physical exam, adding imaging studies can identify nonpalpable plaques and any underlying vasculogenic ED to tailor the extent of surgical treatment and determine when implantable penile prostheses are beneficial. After briefly reviewing penile anatomy, erectile function, and the clinical features of PD, this paper describes the imaging findings of vasculogenic ED on Doppler ultrasound (US), followed by the imaging appearance of PD on US, computed tomography (CT), and magnetic resonance imaging (MRI) to increase recognition of this disease and show how imaging can be used as a problem-solving tool for treatment planning and evaluating post-surgical complications, especially malfunctioning implanted devices. By increasing the understanding of how imaging can be used for patients with PD with or without vasculogenic ED before and after treatment, radiologists and urologists can collaborate on patient management.

Docking-based computational analysis of guava (Psidium guajava) leaves derived bioactive compounds as a coagulation factor IXa inhibitor.

Thrombotic disorders pose a global health threat, emphasizing the urgent need for effective management strategies. This study explores the potential of bioactive compounds derived from guava leaves in inhibiting coagulation factor IXa (CFIXa) using in silico methods. Using GC-MS, bioactive compounds extracted from guava leaf through ethanol maceration were identified. Pharmacokinetic properties were elucidated using SwissADME. Molecular docking with AutoDock Vina was used to investigate the interactions with CFIXa. CFIXa was modeled with pysimm/LAMMPS and analyzed with CastP for active site identification. The setup with a higher solvent concentration and lower surface area yielded the highest percent yield (78.541 g, 39.27%). Among the 28 identified bioactive compounds, predominantly terpenoids, only seven exhibited suitable pharmacokinetic properties for oral ingestion and drug development. Docking analysis revealed favorable binding of these compounds to CFIXa (-7.6:-5.3). This study shows inhibition of coagulation factor IXa, thus bridging the ambiguity surrounding the effect of guava leaves on hemostasis. These findings also reveal that guava leaf extract harbors bioactive compounds with potential as coagulation pathway inhibitors, promising novel avenues for thrombotic disorder management.

Approach to the patient with suspected hypotonic polyuria.

Investigation and management of hypotonic polyura is a common challenge in clinical endocrinology. The three main causes, recently renamed to arginine vasopressin deficiency (AVP-D, formerly central diabetes insipidus), AVP-resistance (AVP-R, formerly nephrogenic diabetes insipidus), and primary polydipsia (PP) require accurate diagnosis as management differs for each. This new nomenclature more accurately reflects pathophysiology, and has now been adopted by the Systemised Nomenclature of Medicine (SNOMED). Advances in diagnosis over the last few years have centered around the use of copeptin measurement. Here, we use three patient case histories to highlight the use of this approach, and to demonstrate how it can succeed where other approaches, such as the water deprivation test, sometimes fail. We discuss the overall approach to each type of patient and the strengths and limitations of diagnostic strategies, illustrating the use of the new nomenclature.

High Throughput Characterization of Organic Thin Film Transistors.

Automation is vital to accelerating research. In recent years, the application of self-driving labs to materials discovery and device optimization has highlighted many benefits and challenges inherent to these new technologies. Successful automated workflows offer tangible benefits to fundamental science and industrial scale-up by significantly increasing productivity and reproducibility all while enabling entirely new types of experiments. However, it's implemtation is often time-consuming and cost-prohibitive and necessitates establishing multidisciplinary teams that bring together domain-specific knowledge with specific skillsets in computer science and engineering. This perspective article provides a comprehensive overview of how the research group has adopted "hybrid automation" over the last 8 years by using simple automatic electrical testers (autotesters) as a tool to increase productivity and enhance reproducibility in organic thin film transistor (OTFT) research. From wearable and stretchable electronics to next-generation sensors and displays, OTFTs have the potential to be a key technology that will enable new applications from health to aerospace. The combination of materials chemistry, device manufacturing, thin film characterization and electrical engineering makes OTFT research challenging due to the large parameter space created by both diverse material roles and device architectures. Consequently, this research stands to benefit enormously from automation. By leveraging the multidisciplinary team and taking a user-centered design approach in the design and continued improvement of the autotesters, the group has meaningfully increased productivity, explored research avenues impossible with traditional workflows, and developed as scientists and engineers capable of effectively designing and leveraging automation to build the future of their fields to encourage this approach, the files for replicating the infrastructure are included, and questions and potential collaborations are welcomed.

Importance of the Cysteine-Rich Domain of Snake Venom Prothrombin Activators: Insights Gained from Synthetic Neutralizing Antibodies.

Snake venoms are cocktails of biologically active molecules that have evolved to immobilize prey, but can also induce a severe pathology in humans that are bitten. While animal-derived polyclonal antivenoms are the primary treatment for snakebites, they often have limitations in efficacy and can cause severe adverse side effects. Building on recent efforts to develop improved antivenoms, notably through monoclonal antibodies, requires a comprehensive understanding of venom toxins. Among these toxins, snake venom metalloproteinases (SVMPs) play a pivotal role, particularly in viper envenomation, causing tissue damage, hemorrhage and coagulation disruption. One of the current challenges in the development of neutralizing monoclonal antibodies against SVMPs is the large size of the protein and the lack of existing knowledge of neutralizing epitopes. Here, we screened a synthetic human antibody library to isolate monoclonal antibodies against an SVMP from saw-scaled viper (genus Echis) venom. Upon characterization, several antibodies were identified that effectively blocked SVMP-mediated prothrombin activation. Cryo-electron microscopy revealed the structural basis of antibody-mediated neutralization, pinpointing the non-catalytic cysteine-rich domain of SVMPs as a crucial target. These findings emphasize the importance of understanding the molecular mechanisms of SVMPs to counter their toxic effects, thus advancing the development of more effective antivenoms.

Trends and epidemiology of lower trunk fractures in the super elderly population in the United States from 2011 to 2020.

INTRODUCTION: Fractures of the lower trunk are among the most common fractures occurring in the elderly. Super elderly individuals (i.e., those 80 years of age and older) represent a growing segment of the population and are especially prone to these fractures. The contemporary epidemiology of lower trunk fractures in the super elderly population is incompletely described in the literature. MATERIALS AND METHODS: This descriptive epidemiology study used the National Electronic Injury Surveillance System (NEISS) to examine the incidence and recent trends of lower trunk fractures (i.e., fractures of the hip, pelvis, and lumbar spine) occurring among super elderly individuals in the United States (US) from 2011 to 2020. Annual, overall, and age-/sex-specific incidence rates (IRs) were analyzed. Average annual percent change (AAPC) estimates were calculated to indicate the magnitude/direction of trends in annual injury rates. RESULTS: An estimated N=1,226,160 super elderly patients sustained lower trunk fractures over the 10-year study period for an overall IR of 100.2 per 10,000 person-years at-risk (PYR). Hip fractures accounted for the largest percentage of cases (IR=71.7 PYR), followed by lumbar spine fractures (IR=14.7), and pelvic fractures (IR=14.3). The incidence of lower trunk fractures among super elderly females (IR=121.5 PYR) was significantly greater than that of males (IR=65.7 PYR). The incidence of lower trunk fractures among nonagenarians and centenarians was significantly higher than that of octogenarians. Accounting for population growth yielded a significantly increasing annual incidence of lower trunk fractures in super elderly patients over the study period from 86.7 PYR in 2011 to 107.2 PYR in 2020 (AAPC=2.7, p<0.001). The annual incidence of both pelvic (AAPC=5.8) and lumbar spine (AAPC=6.9) fractures increased at a significantly higher rate than that of hip fractures (AAPC=1.4). CONCLUSIONS: This study suggests that the annual incidence of lower trunk fractures in the oldest cohort of patients in the US (80+ years of age) increased significantly during the recent decade from 2011 to 2020, with pelvic and lumbar fractures in particular becoming increasingly common. Increased incidence rates highlight the need for future research aimed at optimizing outcomes and quality of life in this frail and ever-growing segment of the population.

Antisense oligonucleotide therapy in an individual with KIF1A-associated neurological disorder.

KIF1A-associated neurological disorder (KAND) is a neurodegenerative and often lethal ultrarare disease with a wide phenotypic spectrum associated with largely heterozygous de novo missense variants in KIF1A. Antisense oligonucleotide treatments represent a promising approach for personalized treatments in ultrarare diseases. Here we report the case of one patient with a severe form of KAND characterized by refractory spells of behavioral arrest and carrying a p.Pro305Leu variant in KIF1A, who was treated with intrathecal injections of an allele-specific antisense oligonucleotide specifically designed to degrade the mRNA from the pathogenic allele. The first intrathecal administration was complicated by an epidural cerebrospinal fluid collection, which resolved spontaneously. Otherwise, the antisense oligonucleotide was safe and well tolerated over the 9-month treatment. Most outcome measures, including severity of the spells of behavioral arrest, number of falls and quality of life, improved. There was little change in the 6-min Walk Test distance, but qualitative changes in gait resulting in meaningful reductions in falls and increasing independence were observed. Cognitive performance was stable and did not degenerate over time. Our findings provide preliminary insights on the safety and efficacy of an allele-specific antisense oligonucleotide as a possible treatment for KAND.

Defining optimal left ventricular assist device short-term outcomes may provide insight into programmatic quality assessment.

BACKGROUND: Patients have substantial variability in perioperative outcomes after left ventricular assist device (LVAD) implant. A perioperative multidimensional tool integrating mortality, adverse events (AEs), and patient-reported outcomes to assist in quality improvement initiatives is needed. METHODS: Patients undergoing HeartMate 3 LVAD implant (January 1, 2017 to January 31, 2024) in the Society of Thoracic Surgeons' Intermacs registry were studied. Cox proportional hazard multivariable analyses incorporating AEs as time-varying covariates for mortality out to 180 days was used to generate the INtermacs Short term composITE quality score (INSITE score derivation), reflecting the adjusted hazard ratio (HR) for mortality contributed by each AE, applying the global ranking methodology. In those alive and on support at 6 months, multivariable logistic regression (odds ratio) was used to examine the impact of AEs on health-related quality of life (QOL) at 180 days, captured through the INSITE-QOL score. Failure to achieve ≥1 point increase in visual analog scale from baseline was the event. RESULTS: Of 13,148 patients, 4,389 (33.4%) suffered at least 1 AE or death through 180 days. Stroke (survival: HR 13.1; QOL: HR 1.7), dialysis (survival: HR 31.4; QOL: HR 4.2), prolonged respiratory failure (survival: HR 5.7; QOL: HR 2.3), reoperation (survival: HR 3.4; QOL: HR 1.6), and right heart failure (survival: 5.0; QOL: HR 1.4), contributed to both mortality and failure to improve QOL at 180 days (all p < 0.05). The median INSITE and INSITE-QOL scores were 0.0 [0.0, 1.6] and 0.0 [0.0, 0.0], respectively. At 9.4% (n = 17) of centers, a high INSITE score (≥13) was present in 15% of patients, while the top 25% of centers had perfect INSITE-QOL scores in at least 75% of patients. CONCLUSIONS: AEs after LVAD confer differential impact on mortality and QOL, enabling the development of global rank outcome scores. Given the high mortality hazard conferred by 180-day AEs, center-specific quality interventions aimed at reducing early complications provide the greatest opportunity to improve long-term survival and QOL.

Continuous Liquid-Liquid Extraction of Medium-Chain Fatty Acids from Fermentation Broth Using Hollow-Fiber Membranes.

Medium-chain fatty acids (MCFAs; carbon-lengths: C6-C12) are high-value platform chemicals that serve a variety of industrial applications, including green antimicrobials, food ingredients, animal feed additives, cosmetics, fragrances, pharmaceuticals, and structured lipids. Currently, most MCFAs are produced from palm and coconut oil originating from Southeast Asia and South America. The conventional approach to harvesting palm and coconut fruits causes considerable ecological damage in these regions. Therefore, researchers are developing biological approaches (e.g., precision and open-culture fermentations) to generate MCFAs more sustainably using low-value substrates (e.g., methanol, ethanol, lactate) or organic wastes as feedstock. Microbial chain-elongation (CE) is a rapidly maturing open-culture fermentation platform that converts short-chain fatty acids (SCFAs; carbon lengths: C1-C5) into a subset of these MCFAs at industrially relevant rates. However, continuous in situ extraction of MCFA products is necessary not only to avoid product inhibition but also to facilitate the recovery of MCFAs in a pure and usable form. Liquid-liquid extraction (LLE) using hollow-fiber membranes and targeted extractant mixtures has proven a robust approach to selectively extract MCFA products from fermentation broths containing SCFAs. Here, the application of LLE for continuous MCFA removal is demonstrated using CE as the reference fermentation system and 3% (w/v) trioctylphosphine oxide in mineral oil as the extractant system. Fatty acids ranging from valeric acid (C5) to caprylic acid (C8) are selectively removed from SCFA-containing broths and concentrated to high titers in a semi-batch alkaline stripping solution for downstream processing.

Deeply-Learned Generalized Linear Models with Missing Data.

Deep Learning (DL) methods have dramatically increased in popularity in recent years, with significant growth in their application to various supervised learning problems. However, the greater prevalence and complexity of missing data in such datasets present significant challenges for DL methods. Here, we provide a formal treatment of missing data in the context of deeply learned generalized linear models, a supervised DL architecture for regression and classification problems. We propose a new architecture, dlglm, that is one of the first to be able to flexibly account for both ignorable and non-ignorable patterns of missingness in input features and response at training time. We demonstrate through statistical simulation that our method outperforms existing approaches for supervised learning tasks in the presence of missing not at random (MNAR) missingness. We conclude with a case study of the Bank Marketing dataset from the UCI Machine Learning Repository, in which we predict whether clients subscribed to a product based on phone survey data. Supplementary materials for this article are available online.

Clinical and neuroradiological spectrum of biallelic variants in NOTCH3.

BACKGROUND: NOTCH3 encodes a transmembrane receptor critical for vascular smooth muscle cell function. NOTCH3 variants are the leading cause of hereditary cerebral small vessel disease (SVD). While monoallelic cysteine-involving missense variants in NOTCH3 are well-studied in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), patients with biallelic variants in NOTCH3 are extremely rare and not well characterised. METHODS: In this study, we present clinical and genetic data from 25 patients with biallelic NOTCH3 variants and conduct a literature review of another 25 cases (50 patients in total). Brain magnetic resonance imaging (MRI) were analysed by expert neuroradiologists to better understand the phenotype associated with biallelic NOTCH3 variants. FINDINGS: Our systematic analyses verified distinct genotype-phenotype correlations for the two types of biallelic variants in NOTCH3. Biallelic loss-of-function variants (26 patients) lead to a neurodevelopmental disorder characterised by spasticity, childhood-onset stroke, and periatrial white matter volume loss resembling periventricular leukomalacia. Conversely, patients with biallelic cysteine-involving missense variants (24 patients) fall within CADASIL spectrum phenotype with early adulthood onset stroke, dementia, and deep white matter lesions without significant volume loss. White matter lesion volume is comparable between patients with biallelic cysteine-involving missense variants and individuals with CADASIL. Notably, monoallelic carriers of loss-of-function variants are predominantly asymptomatic, with only a few cases reporting nonspecific headaches. INTERPRETATION: We propose a NOTCH3-SVD classification depending on dosage and variant type. This study not only expands our knowledge of biallelic NOTCH3 variants but also provides valuable insight into the underlying mechanisms of the disease, contributing to a more comprehensive understanding of NOTCH3-related SVD. FUNDING: The Wellcome Trust, the MRC.

Loss of symmetric cell division of apical neural progenitors drives DENND5A-related developmental and epileptic encephalopathy.

Developmental and epileptic encephalopathies (DEEs) feature altered brain development, developmental delay and seizures, with seizures exacerbating developmental delay. Here we identify a cohort with biallelic variants in DENND5A, encoding a membrane trafficking protein, and develop animal models with phenotypes like the human syndrome. We demonstrate that DENND5A interacts with Pals1/MUPP1, components of the Crumbs apical polarity complex required for symmetrical division of neural progenitor cells. Human induced pluripotent stem cells lacking DENND5A fail to undergo symmetric cell division with an inherent propensity to differentiate into neurons. These phenotypes result from misalignment of the mitotic spindle in apical neural progenitors. Cells lacking DENND5A orient away from the proliferative apical domain surrounding the ventricles, biasing daughter cells towards a more fate-committed state, ultimately shortening the period of neurogenesis. This study provides a mechanism for DENND5A-related DEE that may be generalizable to other developmental conditions and provides variant-specific clinical information for physicians and families.

Wristband Personal Passive Samplers and Suspect Screening Methods Highlight Gender Disparities in Chemical Exposures.

Wristband personal samplers enable human exposure assessments for a diverse range of chemical contaminants and exposure settings with a previously unattainable scale and cost-effectiveness. Paired with nontargeted analyses, wristbands can provide important exposure monitoring data to expand our understanding of the environmental exposome. Here, a custom scripted suspect screening workflow was developed in the R programming language for feature selection and chemical annotations using gas chromatography-high-resolution mass spectrometry data acquired from the analysis of wristband samples collected from five different cohorts. The workflow includes blank subtraction, internal standard normalization, prediction of chemical uses in products, and feature annotation using multiple library search metrics and metadata from PubChem, among other functionalities. The workflow was developed and validated against 104 analytes identified by targeted analytical results in previously published reports of wristbands. A true positive rate of 62 and 48% in a quality control matrix and wristband samples, respectively, was observed for our optimum set of parameters. Feature analysis identified 458 features that were significantly higher on female-worn wristbands and only 21 features that were significantly higher on male-worn wristbands across all cohorts. Tentative identifications suggest that personal care products are a primary driver of the differences observed.

Tendon transfers in the setting of shoulder arthroplasty.

Background: Tendon transfers in conjunction with reverse total shoulder arthroplasty can significantly improve functional outcomes in patients with glenohumeral arthritis and irreparable rotator cuff deficiency. There have been multiple promising new techniques described within the last 20 years that shoulder surgeons should become familiar with. Methods: The authors reviewed the literature on tendon transfers in the setting of reverse total shoulder arthroplasty. Procedures to restore various shoulder functions were described including surgical anatomy, techniques, pearls and pitfalls, and photos. Results: Subscapularis insufficiency can be reconstructed with a pectoralis major transfer or latissimus dorsi transfer, with the latter having better clinical outcomes and a more anatomic line of pull. Posterosuperior rotator cuff deficiency can be reconstructed with a latissimus transfer (L'Episcopo transfer) or lower trapezius transfer, with the latter proving superior in biomechanical and short-term studies. Deltoid deficiency can be reconstructed with a pedicled upper pectoralis major transfer. Massive proximal humerus bone loss can be reconstructed with an allograft-prosthetic composite, and any of the aforementioned transfers can be utilized in this setting as well. Conclusion: Tendon transfers in conjunction with reverse shoulder arthroplasty can significantly improve functional outcomes in patients with glenohumeral arthritis and irreparable rotator cuff deficiency. There have been multiple promising new techniques described within the last 20 years that shoulder surgeons should become familiar with.

The Florida Geriatric Head Trauma CT Clinical Decision Rule.

BACKGROUND: Several clinical decision rules have been devised to guide head computed tomography (CT) use in patients with minor head injuries, but none have been validated in patients 65 years or older. We aimed to derive and validate a head injury clinical decision rule for older adults. METHODS: We conducted a secondary analysis of an existing dataset of consecutive emergency department (ED) patients >65 years old with blunt head trauma. The main predictive outcomes were significant intracranial injury and Need for Neurosurgical Intervention on CT. The secondary outcomes also considered in the model development and validation were All Injuries and All Intracranial Injuries. Predictor variables were identified using multiple variable logistic regression, and clinical decision rule models were developed in a split-sample derivation cohort and then tested in an independent validation cohort. RESULTS: Of 5776 patients, 233 (4.0%) had significant intracranial injury and an additional 104 (1.8%) met CT criteria for Need for Neurosurgical Intervention. The best performing model, the Florida Geriatric Head Trauma CT Clinical Decision Rule, assigns points based on several clinical variables. If the points totaled 25 or more, a CT scan is indicated. The included predictors were arrival via Emergency Medical Services (+30 points), Glasgow Coma Scale (GCS) <15 (+20 points), GCS <14 (+50 points), antiplatelet medications (+17 points), loss of consciousness (+16 points), signs of basilar skull fracture (+50 points), and headache (+20 points). Utilizing this clinical decision rule in the validation cohort, a point total ≥25 had a sensitivity and specificity of 100.0% (95% CI: 96.0-100) and 12.3% (95% CI: 10.9-13.8), respectively, for significant intracranial injury and Need for Neurosurgical Intervention. CONCLUSIONS: The Florida Geriatric Head Trauma CT Clinical Decision Rule has the potential to reduce unnecessary CT scans in older adults, without compromising safe emergency medicine practice.

Challenges and Applications of Supramolecular Metalate Chemistry.

While the supramolecular chemistry of simple anions is ubiquitous, the targeting and exploitation of their metal-containing relatives, the metalates, is less well understood. This mini review highlights the latest advances in this emergent area by discussing the supramolecular chemistry of metalates thematically, with a focus on the exploitation of metalates in a diversity of applications, including medical imaging and therapy, environmental remediation, molecular magnetism, catalysis, perovskite materials, and metal separations. The unifying features of these systems are identified with a view to allow the supramolecular chemist to target the unique material properties of the metalates, even in areas that are currently relatively immature.