Citations

Abstract Background Physical activity (PA) is an established protective factor for colorectal cancer (CRC), but it is unclear if genetic variants modify this effect. To investigate this possibility, we conducted a genome-wide gene–PA interaction analysis. Methods Using logistic regression and two-step and joint tests, we analyzed interactions between common genetic variants across the genome and PA in relation to CRC risk. Self-reported PA levels were categorized as active (≥ 8.75 MET-h/wk) vs. inactive (< 8.75 MET-h/wk) and as study- and sex-specific quartiles of activity. Results PA had an overall protective effect on CRC (OR [active vs. inactive] = 0.85; 95%CI = 0.81–0.90). The two-step GxE method identified an interaction between rs4779584, an intergenic variant near the GREM1 and SCG5 genes, and PA for CRC risk (p-interaction = 2.6×10 − 8 ). Stratification by genotype at this locus showed a significant reduction in CRC risk by 20% in active vs. inactive participants with the CC genotype (OR = 0.80; 95%CI = 0.75–0.85), but no significant PA–CRC association among CT or TT carriers. When PA was modeled as quartiles, the 1-d.f. GxE test identified that rs56906466, an intergenic variant near the KCNG1 gene, modified the association between PA and CRC (p-interaction = 3.5×10 − 8 ). Stratification at this locus showed that increase in PA (highest vs. lowest quartile) was associated with a lower CRC risk solely among TT carriers (OR = 0.77; 95%CI = 0.72–0.82). Conclusions In summary, we identified two genetic variants that modified the association between PA and CRC risk. One of them, related to GREM1 and SCG5 , suggests that the bone morphogenetic protein (BMP)-related, inflammatory, and/or insulin signaling pathways may be associated with the protective influence of PA on colorectal carcinogenesis.

Abstract Objective This study explores and documents the patient experience during the prodrome phase of migraine. Background Migraine attacks can be divided into four stages: the prodrome (or premonitory phase), the aura, the headache phase, and postdrome. Qualitative data on the range of symptoms during the prodrome and their timing relative to headache onset are sparse. Prodromal symptoms may predict the onset of migraine headache pain and provide a clinically useful benchmark for initiation of treatment early in an attack before pain begins. Design/Methods Eligible participants with a clinician‐confirmed diagnosis of migraine and at least one prodromal symptom were consented, screened, and then participated in 60‐min interviews. The interview guide included open‐ended questions to elicit spontaneous reports and specific probes about prodromal symptoms based on a clinician‐established list. A theory approach was used to analyze the qualitative data collected in interviews to identify key themes and gather insights; data were analyzed using ATLAS.ti. Results Data collection for this study occurred from March 8, 2022, to May 16, 2022. Twenty interviews were conducted, and analyses demonstrated that concept saturation was achieved. Participants reported 36 unique prodromal symptoms, and each participant experienced a mean of 13 symptoms (standard deviation [SD] = 6.6) and a median of 11 symptoms (interquartile range [IQR] = 7.8–17.0) during the prodrome phase. The most commonly reported prodromal symptoms were nausea ( n = 17/20, 85%), fatigue/tiredness ( n = 16/20, 80%), sensitivity to light ( n = 13/20, 65%), neck pain/stiffness ( n = 12/20, 60%), and dizziness/vertigo/light‐headedness ( n = 10/20, 50%). Of the symptoms reported by at least four participants ( n ≥ 4/20, 20%), neck pain/stiffness was rated most bothersome (8.9 out of 10) and sensitivity to light was rated most severe (8.5 out of 10). Almost 40% of all symptoms reported occurred less than 2 h before the start of migraine headache. Of the commonly reported symptoms, nausea (0.8h), sensitivity to light (1.0 h), and dizziness/vertigo/lightheadedness (2.0 h) began closest to headache onset; fatigue/tiredness (4.0 h) and neck pain/stiffness (4.8 h) were the most remote from headache onset. Conclusion This study identified frequently reported prodromal symptoms, with participants commonly reporting that a migraine headache would follow their experience of prodrome within a 1‐ to 6‐h window. Characterizing the prodrome experience may improve measurement strategies for the burden of migraine and create opportunities to treat during the prodromal phase to prevent the onset of moderate or severe headaches.

BACKGROUND MRI-guided targeted fascicular biopsy has been a valuable technique for diagnosing idiopathic neuropathies. It has an 80% yield and a minor permanent morbidity rate of 5%. OBSERVATIONS A 48-year-old woman with a history of localized amyloidosis to the orbital muscle 2 years earlier presented with new neurological symptoms. Extensive evaluations including skin, muscle, and distal cutaneous nerve biopsies were negative, and empirical treatment trials did not improve her condition. An MRI-guided targeted biopsy of the right ulnar nerve in the distal arm was planned. During surgery, a medial triceps branch arising from the ulnar nerve was identified and was biopsied along with a neighboring fascicle of the ulnar nerve to the flexor carpi ulnaris. The pathology of the ulnar nerve fascicle but not the contiguous triceps branch showed amyloid (AL [kappa] subtype on mass spectroscopy). The patient was started on treatment. LESSONS The positive biopsy of the ulnar nerve fascicle allowed targeted treatment of the neural amyloidosis. While the negative biopsy of the triceps branch could be attributed to sampling error, it could also be due to the fact that this branch found within the ulnar nerve is thought to originate from the radial nerve. https://thejns.org/doi/10.3171/CASE25484

Purpose of review This paper reviews the current understanding of coronary vascular dysfunction (CVDys) in patients with angina and no obstructive coronary artery disease (ANOCA), based on recent findings from a comprehensive, large-scale study. It also discusses potential future directions for research and clinical practice. Recent findings CVDys involves enhanced vasoconstriction or impaired vasodilation caused by endothelium-dependent and/or -independent dysfunction in the epicardial or microvascular coronary arteries. It is classified into four subtypes based on anatomical location and underlying mechanisms, and can be assessed using coronary reactivity testing (CRT). Previous studies have evaluated their prognostic implications separately or in limited populations. A recent study assessed all subtypes within a single ANOCA cohort and confirmed that endothelium-dependent epicardial dysfunction and both types of microvascular dysfunction are associated with worse prognosis. Moreover, it demonstrated that microvascular function – both endothelium-dependent and -independent – serves as an independent prognostic factor for major adverse cardiovascular events. These findings emphasize the value of CRT-based comprehensive evaluation for risk stratification. Summary While evidence regarding the prognostic impact of CVDys has become increasingly robust, effective treatment strategies remain undefined. Future efforts should focus on developing CRT-guided interventions targeting coronary dysfunction, with the goal of improving clinical outcomes.

Abstract Deconvolution models are a powerful tool for extracting cell-type-specific information from bulk gene expression profiles. Current methods leverage advanced machine learning models and high-resolution sequencing, like single-cell RNA-sequencing, showing promising results across diverse tissues and conditions. However, they still present important limitations: First, many depend on selecting a robust reference, which can strongly affect the deconvolution. Second, pseudobulk data used for training and real bulk RNA-seq samples often exhibit strong distribution shifts, which are currently unaccounted for. Finally, most deconvolution approaches behave as black boxes, which can compromise the reliability of the results. Here, we present Sweetwater, an adaptive and interpretable autoencoder that efficiently deconvolves bulk samples leveraging multiple classes of reference data. Moreover, we propose an improved way of generating training data from a mixture of FACS-sorted FASTQ files, reducing platform-specific biases and outperforming current single-cell-based references. Furthermore, we introduce a gold standard dataset to facilitate fair and accurate evaluation of deconvolution approaches. Finally, we demonstrate that Sweetwater adapts effectively to deconvolved samples during training, uncovering biologically meaningful patterns and enhancing result’s reliability. Sweetwater is available at https://doi.org/10.6084/m9.figshare.29609180, and we anticipate it will expedite the accurate examination of high-throughput clinical data across diverse applications.

Aberrant internal carotid arteries (ICA) are congenital vascular anomalies that occur from involution of the cervical portion of the ICA, which leads to enlargement of the normally small collateral inferior tympanic and caroticotympanic arteries. The inferior tympanic artery is a branch of the external carotid artery, usually the ascending pharyngeal artery, which extends through the inferior tympanic canaliculus (ITC), a small foramen located along the cochlea promontory. Aberrant ICAs can also be associated with a persistent stapedial artery (PSA), which is an abnormal vessel that arises from the petrous ICA and passes through the obturator foramen of the stapes. An aberrant ICA is a very important anomaly to recognize on imaging. Accurately describing its presence is important to help prevent iatrogenic injury during intervention. It is also important to distinguish an aberrant ICA from a lateralized ICA. The improvement of spatial resolution with photon counting detector (PCD)-CT has been proven to provide higher performance in detection of sub-centimeter vascular lesions compared to conventional energy-integrated detector (EID)-CT. PCD-CT also provides superior visualization of small skull-based foramina such as the inferior tympanic canaliculus, which can aid in more accurately characterizing an aberrant ICA (variant course without ITC involvement).

Background: Artificial Intelligence (AI)-driven Decision Support Systems (DSSs) promise improvements in diagnostic accuracy and clinical workflow efficiency, but their adoption is hindered by inadequate confidence calibration, limited transparency, and poor alignment with real-world decision processes, which limit clinician trust and lead to high override rates. Methods: We developed and validated a dynamic scoring framework to enhance trust in AI-generated diagnoses by integrating AI confidence scores, semantic similarity measures, and transparency weighting into the override decision process using 6689 cardiovascular cases from the MIMIC-III dataset. Override thresholds were calibrated and validated across varying transparency and confidence levels, with override rate as the primary acceptance measure. Results: The implementation of this framework reduced the override rate to 33.29%, with high-confidence predictions (90–99%) overridden at a rate of only 1.7%, and low-confidence predictions (70–79%) at a rate of 99.3%. Minimal transparency diagnoses had a 73.9% override rate compared to 49.3% for moderate transparency. Statistical analyses confirmed significant associations between confidence, transparency, and override rates (p < 0.001). Conclusions: These findings suggest that enhanced transparency and confidence calibration can substantially reduce override rates and promote clinician acceptance of AI diagnostics. Future work should focus on clinical validation to optimize patient safety, diagnostic accuracy, and efficiency.

ABSTRACT The C9orf72 hexanucleotide repeat expansion mutation is the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia, but its cell type‐specific effects on energy metabolism and immune pathways remain poorly understood. Using induced pluripotent stem cell (iPSC)‐derived motor neurons, astrocytes, and microglia from C9orf72 patients and their isogenic controls, we investigated metabolic changes at the single‐cell level under basal and inflammatory conditions. Our results showed that microglia are particularly susceptible to metabolic disturbances. While C9orf72 motor neurons exhibited impaired mitochondrial respiration and reduced ATP production, C9orf72 microglia presented pronounced increases in glycolytic activity and oxidative stress, accompanied by the upregulation of the expression of key metabolic enzymes. These metabolic changes in microglia were exacerbated by inflammatory stimuli. To investigate how these changes affect the broader cellular environment, we developed a human iPSC‐derived triculture system comprising motor neurons, astrocytes, and microglia. This model revealed increased metabolic activity in all cell types and highlighted that microglia‐driven metabolic reprogramming in astrocytes contributes to the vulnerability of motor neurons under inflammatory conditions. Our findings highlight the central role of microglia in driving metabolic dysregulation and intercellular crosstalk in ALS pathogenesis and suggest that targeting metabolic pathways in immune cells may provide new therapeutic avenues.

Abstract Uterine fibroids (leiomyomas) and adenomyosis are among the most common benign gynecological conditions affecting women of reproductive age. These disorders are frequently associated with abnormal uterine bleeding, pelvic pain, pressure symptoms on adjacent pelvic organs, and potential infertility. The incidence of fibroids increases as women enter their third and fourth decades of life. In parallel, recent trends in delayed childbearing have further emphasized the need for fertility‐preserving treatment options. Notably, fibroids have a higher prevalence in African‐American women, highlighting a significant disparity in health needs compared to white women. Historically, hysterectomy and myomectomy were considered definitive treatments. However, these procedures carry inherent surgical risks, longer recovery periods, and, in the case of hysterectomy, a complete loss of reproductive potential. Consequently, there is increasing demand for uterus‐sparing, minimally invasive alternatives that provide effective symptom control with lower morbidity and preservation of fertility. Among the evolving treatment options, three image‐guided, minimally invasive therapies have gained particular attention: Uterine Artery Embolization (UAE), Radiofrequency Ablation (RFA), and High‐Intensity Focused Ultrasound (HIFU). Uterine Artery Embolization (UAE), also known as uterine fibroid embolization (UFE), is a well‐established endovascular procedure in which embolic agents are introduced via catheterization of the uterine arteries, inducing ischemia and infarction of fibroids. Performed under conscious sedation or regional anesthesia, UAE has demonstrated significant reductions in fibroid volume and symptom relief in over 80% of appropriately selected patients. All image‐guided techniques are especially beneficial for women who desire uterine preservation, have contraindications to surgery, or wish to avoid major operative interventions. In comparison with UAE, Radiofrequency Ablation (RFA) uses targeted thermal energy to induce coagulative necrosis within fibroid tissue. This approach can be delivered via laparoscopic, transcervical, or transvaginal routes, depending on the platform. The Sonata® System integrates intrauterine ultrasound guidance with energy delivery, enabling precise fibroid targeting with minimal myometrial damage. RFA is associated with shorter recovery and less intraoperative blood loss, though it is more suitable for smaller or fewer fibroids and may be less ideal for extensive disease. Together, these advancements reflect a paradigm shift in fibroid management—driven by demographic trends, racial disparities, patient preferences, and technological innovations—toward evidence‐based, uterus‐preserving therapies tailored to individual patient needs. This article discusses details of each technique including the procedure, benefits and complications and also the impact on particular situations such as pregnancy. Some key points common to each technique are also mentioned.

Abstract Hereditary adult-onset ataxias are a heterogeneous group of phenotypically overlapping conditions, often caused by pathogenic expansions of short tandem repeats. Currently, 18 repeat disorders with a core phenotype of adult-onset ataxia are known. Diagnosis typically relies on sequential PCR-based methods, which are labour-intensive and lack precision. Long-read sequencing (LRS) has the potential to overcome these limitations and is currently implemented and validated in clinical genetics. Using clinical nanopore Cas9-targeted sequencing (Clin-CATS) for parallel in-depth repeat analysis, we evaluated a diagnostic cohort of 513 adult-onset ataxia patients, determining frequencies of all known repeat-associated ataxias except Spinocerebellar ataxia 4 (SCA4), as well as the carrier frequencies for autosomal-recessive disorders, RFC1 spectrum disorder and Friedreich’s ataxia (FRDA). Additionally, phenotypes of patients with established genetic diagnoses were characterized, especially those of patients living with RFC1 spectrum disorder and SCA27B. Repeat-associated ataxias were confirmed in 33.3% of cases, including rare ataxias, such as SCA10, SCA36 and SCA37, alongside as the most prevalent conditions SCA27B and RFC1 spectrum disorder. Potentially pathogenic expansions in FGF14 were identified in an additional 4.7% of patients. Testing of another 347 patients for ZFHX3 expansions linked to SCA4 did not identify any cases. Dual diagnoses were frequent, occurring in 6.4% of patients with repeat-associated ataxia. We confirmed a high RFC1 spectrum disorder carrier frequency (7.2%) and reclassified certain FXN expansions as likely non-pathogenic, resulting in a lower than estimated carrier frequency for FRDA of 0.8%. We also identified novel repeat configurations in several loci and illustrated the high heterogeneity of repeat expansions in RFC1, highlighting it as a potential source of false results when using PCR-based methods. This study underscores the diagnostic advantages of LRS for comprehensive repeat analysis and recommends its adoption as a standard in clinical genetics, replacing Southern blot and PCR-based approaches. Furthermore, based on our findings in a large patient cohort a re-evaluation of existing phenotype-genotype correlations is recommended as well as evaluating additional parameters alongside the repeat length to improve diagnostic precision of repeat analysis.