Large Language Models to Help Appeal Denied Radiotherapy Services.

PURPOSE: Large language model (LLM) artificial intelligences may help physicians appeal insurer denials of prescribed medical services, a task that delays patient care and contributes to burnout. We evaluated LLM performance at this task for denials of radiotherapy services. METHODS: We evaluated generative pretrained transformer 3.5 (GPT-3.5; OpenAI, San Francisco, CA), GPT-4, GPT-4 with internet search functionality (GPT-4web), and GPT-3.5ft. The latter was developed by fine-tuning GPT-3.5 via an OpenAI application programming interface with 53 examples of appeal letters written by radiation oncologists. Twenty test prompts with simulated patient histories were programmatically presented to the LLMs, and output appeal letters were scored by three blinded radiation oncologists for language representation, clinical detail inclusion, clinical reasoning validity, literature citations, and overall readiness for insurer submission. RESULTS: Interobserver agreement between radiation oncologists' scores was moderate or better for all domains (Cohen's kappa coefficients: 0.41-0.91). GPT-3.5, GPT-4, and GPT-4web wrote letters that were on average linguistically clear, summarized provided clinical histories without confabulation, reasoned appropriately, and were scored useful to expedite the insurance appeal process. GPT-4 and GPT-4web letters demonstrated superior clinical reasoning and were readier for submission than GPT-3.5 letters (P < .001). Fine-tuning increased GPT-3.5ft confabulation and compromised performance compared with other LLMs across all domains (P < .001). All LLMs, including GPT-4web, were poor at supporting clinical assertions with existing, relevant, and appropriately cited primary literature. CONCLUSION: When prompted appropriately, three commercially available LLMs drafted letters that physicians deemed would expedite appealing insurer denials of radiotherapy services. LLMs may decrease this task's clerical workload on providers. However, LLM performance worsened when fine-tuned with a task-specific, small training data set.

Challenges and Approaches to Establishing Multi-Pathogen Serosurveillance: Findings from the 2023 Serosurveillance Summit.

Multiplex-based serological surveillance is a valuable but underutilized tool to understand gaps in population-level exposure, susceptibility, and immunity to infectious diseases. Assays for which blood samples can be tested for antibodies against several pathogens simultaneously, such as multiplex bead immunoassays, can more efficiently integrate public health surveillance in low- and middle-income countries. On March 7-8, 2023 a group of experts representing research institutions, multilateral organizations, private industry, and country partners met to discuss experiences, identify challenges and solutions, and create a community of practice for integrated, multi-pathogen serosurveillance using multiplex bead assay technologies. Participants were divided into six working groups: 1) supply chain; 2) laboratory assays; 3) seroepidemiology; 4) data analytics; 5) sustainable implementation; and 6) use case scenarios. These working groups discussed experiences, challenges, solutions, and research needs to facilitate integrated, multi-pathogen serosurveillance for public health. Several solutions were proposed to address challenges that cut across working groups.

Attractive acceptor-acceptor interactions in self-complementary quadruple hydrogen bonds for molecular self-assembly.

Molecular self-assembly provides the means for creating large supramolecular structures, extending beyond the capability of standard chemical synthesis. To harness the power of self-assembly, it is necessary to understand its driving forces. A potent method is to exploit self-complementary hydrogen bonding, where a molecule interacts with its own copy by suitable positions of hydrogen-bond donor (D) and acceptor (A) groups. With four hydrogen bonds, there are two possible self complementary patterns: the DDAA/AADD and the DADA/ADAD motifs. Of these, the DDAA pattern is usually more stable. The traditional explanation assumes that the secondary interactions between equal groups, that is, between donors (D⋯D) or acceptors (A⋯A), are repulsive. DDAA arrays would then have two, and DADA arrays six repulsive interactions. Here, using high-end quantum chemical analysis, we show that contrary to the traditional explanation, the secondary A⋯A interactions are, in fact, attractive. We revise the model of secondary interactions accordingly.

Association between MASLD and increased risk of serious bacterial infections requiring hospital admission: A meta-analysis.

BACKGROUND: Previous studies have reported an association between metabolic dysfunction-associated steatotic liver disease (MASLD) and the risk of serious bacterial infections. However, the magnitude of the risk and whether this risk varies with the severity of MASLD remains uncertain. We performed a meta-analysis of observational studies to quantify the association between MASLD and serious bacterial infections requiring hospital admission. METHODS: We systematically searched PubMed, Scopus, Web of Science and Embase from database inception to 1 April 2024, using predefined keywords to identify studies examining the risk of serious bacterial infections among individuals with and without MASLD. MASLD was diagnosed using liver biopsy, imaging or International Classification of Diseases codes. Meta-analysis was performed using random-effects modelling. RESULTS: We identified six cross-sectional and two prospective cohort studies with aggregate data on ~26.6 million individuals. MASLD was significantly associated with higher odds of serious bacterial infections (pooled random-effects odds ratio 1.93, 95% confidence interval [CI] 1.44-2.58; I2 = 93%). Meta-analysis of prospective cohort studies showed that MAFLD was associated with an increased risk of developing serious bacterial infections (pooled random-effects hazard ratio 1.80, 95% CI 1.62-2.0; I2 = 89%). This risk further increased across the severity of MASLD, especially the severity of fibrosis (pooled random-effects hazard ratio 2.42, 95% CI 1.89-2.29; I2 = 92%). These results remained significant after adjusting for age, sex, obesity, diabetes and other potential confounders. Sensitivity analyses did not modify these findings. The funnel plot did not reveal any significant publication bias. CONCLUSIONS: This meta-analysis shows a significant association between MASLD and an increased risk of serious bacterial infections requiring hospital admission.

Hydrolyzed collagen supplementation prior to resistance exercise augments collagen synthesis in a dose-response manner in resistance-trained, middle-aged men.

BACKGROUND: Resistance exercise (RE) increases collagen synthesis in young and older men, while hydrolyzed collagen (HC) ingestion improves this response to RE in a dose-response manner in young men. However, the collagen synthesis response to RE with and without HC in middle-aged men is unknown. METHODS: Eight resistance-trained men (age: 49±8 years; height: 1.78±0.02m; mass: 90±4kg) took part in this double-blind, crossover design study, and undertook 4×10 repetitions of lower-limb RE at maximum load, after consuming 0g, 15g, or 30g vitamin C-enriched HC. We analyzed venous blood samples for N-terminal propeptide of type 1 pro-collagen (PINP), ß-isomerized C-terminal telopeptide of type 1 collagen (ß-CTx) and 18 collagen amino acids throughout all three interventions. RESULTS: The serum PINP concentration×time area-under-the-curve (AUC) was higher following 30g (169±28 µg/mL×h) than 15g (134±23 µg/mL×h, P<0.05) HC ingestion, and both 15g and 30g were higher than 0g HC (96±23 µg/mL×h, P<0.05). RE with 0g HC showed no change in serum PINP concentration. The AUCs for glycine, proline, hydroxyproline, alanine, arginine, lysine, serine, leucine, valine and isoleucine were greater with 30g than 15g and 0g HC ingestion (P<0.05), and greater with 15g than 0g HC ingestion (P<0.05). Plasma ß-CTx concentration decreased after RE independently of HC dose. CONCLUSIONS: Our study suggests connective tissue anabolic resistance to RE in middle-aged men but ingesting 15g HC rescues the collagen synthesis response, and 30g augments that response further. This dose-response is associated with the increased bioavailability of collagen amino acids in the blood, which stimulate collagen synthesis.

Exploring synaptic pathways in traumatic brain injury: a cross-phenotype genomics approach.

Traumatic brain injury (TBI), a global leading cause of mortality and disability, lacks effective treatments to enhance recovery. Synaptic remodeling has been postulated as one mechanism that influences outcomes after TBI. We sought to investigate whether common mechanisms affecting synapse maintenance are shared between TBI and other neuropsychiatric conditions using pathway enrichment tools and genome-wide genotype data, with the goal of highlighting novel treatment targets. We leveraged an integrative approach, combining data from Genome-Wide Association Studies (GWAS) with pathway and gene-set enrichment analyses. Literature review-based and Reactome database-driven approaches were combined to identify synapse-related pathways of interest in TBI outcome, and to assess for shared associations with conditions in which synapse-related pathobiological mechanisms have been implicated, including Alzheimer's disease (AD), schizophrenia (SCZ), major depressive disorder (MDD), post-traumatic stress disorder (PTSD), attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Gene and pathway-level enrichment analyses were conducted using MAGMA and its extensions, e- and H-MAGMA, followed by Mendelian Randomization (MR) to investigate potential causal associations. Of the 98 pathways tested, 32 were significantly enriched in the included conditions. In TBI outcome, we identified significant enrichment in five pathways: "Serotonin clearance from the synaptic cleft" (p-value = 0.0001), "Presynaptic nicotinic acetylcholine receptors" (p-value = 0.0003), "Postsynaptic nicotinic acetylcholine receptors" (p-value = 0.0003), "Highly sodium permeable postsynaptic acetylcholine nicotinic receptors" (p-value = 0.0001), and "Acetylcholine binding and downstream events" pathways (p-value = 0.0003). These associations highlight potential involvement of the cholinergic and serotonergic systems in post-TBI recovery. Three of those pathways were shared between TBI and schizophrenia, suggesting possible pathophysiologic commonalities. In this study we utilize comparative and integrative genomic approaches across brain conditions that share synaptic mechanisms to explore the pathophysiology of TBI outcome. Our results implicate associations between TBI outcome and synaptic pathways as well as pathobiologic overlap with other neuropsychiatric diseases.

A Deep Dive into Statistical Modeling of RNA Splicing QTLs Reveals New Variants that Explain Neurodegenerative Disease.

Genome-wide association studies (GWAS) have identified thousands of putative disease causing variants with unknown regulatory effects. Efforts to connect these variants with splicing quantitative trait loci (sQTLs) have provided functional insights, yet sQTLs reported by existing methods cannot explain many GWAS signals. We show current sQTL modeling approaches can be improved by considering alternative splicing representation, model calibration, and covariate integration. We then introduce MAJIQTL, a new pipeline for sQTL discovery. MAJIQTL includes two new statistical methods: a weighted multiple testing approach for sGene discovery and a model for sQTL effect size inference to improve variant prioritization. By applying MAJIQTL to GTEx, we find significantly more sGenes harboring sQTLs with functional significance. Notably, our analysis implicates the novel variant rs582283 in Alzheimer's disease. Using antisense oligonucleotides, we validate this variant's effect by blocking the implicated YBX3 binding site, leading to exon skipping in the gene MS4A3.

A decision-making framework to maximise the evolutionary potential of populations - Genetic and genomic insights from the common midwife toad (Alytes obstetricans) at its range limits.

Anthropogenic habitat modification and climate change are fundamental drivers of biodiversity declines, reducing the evolutionary potential of species, particularly at their distributional limits. Supportive breeding or reintroductions of individuals are often made to replenish declining populations, sometimes informed by genetic analysis. However, most approaches utilised (i.e. single locus markers) do not have the resolution to account for local adaptation to environmental conditions, a crucial aspect to consider when selecting donor and recipient populations. Here, we incorporate genetic (microsatellite) and genome-wide SNP (ddRAD-seq) markers, accounting for both neutral and putative adaptive genetic diversity, to inform the conservation management of the threatened common midwife toad, Alytes obstetricans at the northern and eastern edges of its range in Europe. We find geographically structured populations (n = 4), weak genetic differentiation and fairly consistent levels of genetic diversity across localities (observed heterozygosity and allelic richness). Categorising individuals based on putatively adaptive regions of the genome showed that the majority of localities are not strongly locally adapted. However, several localities present high numbers of private alleles in tandem with local adaptation to warmer conditions and rough topography. Combining genetic diversity and local adaptations with estimates of migration rates, we develop a decision-making framework for selecting donor and recipient populations which maximises the geographic dispersal of neutral and putatively adaptive genetic diversity. Our framework is generally applicable to any species, but especially to amphibians, so armed with this information, conservationists may avoid the reintroduction of unsuitable/maladapted individuals to new sites and increase the evolutionary potential of populations within species.

Causal relationship between key genes and metabolic dysfunction-associated fatty liver disease risk mediated by immune cells: A Mendelian randomization and mediation analysis.

AIM: Non-invasive diagnostics for metabolic dysfunction-associated fatty liver disease (MAFLD) remain challenging. We aimed to identify novel key genes as non-invasive biomarkers for MAFLD, elucidate causal relationships between biomarkers and MAFLD and determine the role of immune cells as potential mediators. MATERIALS AND METHODS: Utilizing published transcriptome data of patients with biopsy-proven MAFLD, we applied linear models for microarray data, least absolute shrinkage and selector operation (LASSO) regressions and receiver operating characteristic (ROC) curve analyses to identify and validate biomarkers for MAFLD. Using the expression quantitative trait loci database and a cohort of 778 614 Europeans, we used Mendelian randomization to analyse the causal relationships between key biomarkers and MAFLD. Additionally, mediation analysis was performed to examine the involvement of 731 immunophenotypes in these relationships. RESULTS: We identified 31 differentially expressed genes, and LASSO regression showed three hub genes, IGFBP2, PEG10, and P4HA1, with area under the receiver operating characteristic (AUROC) curve of 0.807, 0.772 and 0.791, respectively, for identifying MAFLD. The model of these three genes had an AUROC of 0.959 and 0.800 in the development and validation data sets, respectively. This model was also validated using serum-based enzyme-linked immunosorbent assay data from MAFLD patients and control subjects (AUROC: 0.819, 95% confidence interval: 0.736-0.902). PEG10 was associated with an increased MAFLD risk (odds ratio = 1.106, p = 0.032) via inverse variance-weighted analysis, and about 30% of this risk was mediated by the percentage of CD11c + CD62L- monocytes. CONCLUSIONS: The MAFLD panels have good diagnostic accuracy, and the causal link between PEG10 and MAFLD was mediated by the percentage of CD11c + CD62L- monocytes.

Cancer Diagnosis During Pregnancy and Livebirth Outcomes in the Adolescent and Young Adult Horizon Study.

Objective: To describe patterns of cancer treatment and live birth outcomes that followed a cancer diagnosis during pregnancy. Study Design: The Adolescent and Young Adult (AYA) Horizon Study is an observational study evaluating outcomes in survivors of the five most common types of cancer in this age group (15-39 years old). Of the 23,629 individuals identified diagnosed with breast, lymphoma, thyroid, melanoma, or gynecological cancer in North Carolina (2000-2015) and California (2004-2016), we identified 555 live births to individuals who experienced cancer diagnosis during pregnancy. Births to individuals diagnosed with cancer during pregnancy were matched ∼1:5 on maternal age and year of delivery to live births to individuals without a cancer diagnosis (N = 2,667). Multivariable Poisson regression was used to compare birth outcomes between pregnancies affected by a cancer diagnosis and unaffected matched pregnancies. Results: Cancer diagnosis during pregnancy was associated with an increased risk of preterm delivery (prevalence ratio [PR] 2.70; 95% confidence interval [CI] 2.24, 3.26); very preterm delivery (PR 1.74; 95% CI 1.12, 2.71); induction of labor (PR 1.48; 95% CI 1.27, 1.73); low birth weight (PR 1.97; 95% CI 1.55, 2.50); and cesarean delivery (PR 1.18; 95% CI 1.04, 1.34) but not associated with low Apgar score (PR 0.90; 95% CI 0.39, 2.06). In our sample, 41% of patients received chemotherapy, half of whom initiated chemotherapy during pregnancy, and 86% received surgery, 58% of whom had surgery during pregnancy. Of the 19% who received radiation, all received radiation treatment following pregnancy. Conclusion: We identified an increased risk of birth outcomes, including preterm and very preterm delivery, induction of labor, low birth weight, and cesarean delivery, to those experiencing a cancer diagnosis during pregnancy. This analysis contributes to the available evidence for those experiencing a cancer diagnosis during pregnancy.

Social Determinants of Message Exposure and Health Anxiety Among Young Sexual Minority Men in the United States During the 2022 Mpox Outbreak.

This study tested the structural influence model of communication in the context of the 2022 global outbreak of the Mpox virus among young sexual minority men. The primary objective was to understand how distinct social determinants, including education, race/ethnicity, and interpersonal discrimination, influenced exposure to Mpox messages in daily life and affected health anxiety concerning the Mpox virus in the United States. We also explored the significance of LGBTQ+ community connectedness as a crucial form of social capital during the outbreak. We collected a three-wave longitudinal dataset and examined within-person and between-person associations using a random-intercept cross-lagged panel model. Participants (N = 254) reported that internet sources and social media were their primary information sources for Mpox messages during the outbreak. Educational attainment, racial minority status, and LGBTQ+ community connectedness were significantly associated with message exposure. Young sexual minority men who faced greater interpersonal discrimination in their daily lives also reported higher rates of Mpox-related health anxiety. Longitudinal analysis indicated that (at the within-person level) Mpox anxiety was significantly associated with greater Mpox message exposure in the month following the outbreak, but that relationship waned in the subsequent month. The theoretical implications highlight the relevance of minority stress variables in the structural influence model of communication framework and suggest the importance of community connectedness as a distinct form of social capital shaping message exposure and health anxiety during the Mpox outbreak in the United States.

Mutual Relationships of Nanoconfined Hexoses: Impacts on Hydrodynamic Radius and Anomeric Ratios.

Although all hexose sugars share the same chemical formula, C6H12O6, subtle differences in their stereochemical structures lead to their various biological roles. Due to their prominent role in metabolism, hexose sugars are commonly found in nanoconfined environments. The complexity of authentic nanoconfined biological environments makes it challenging to study how confinement affects their behavior. Here, we present a study using a common model system, AOT reverse micelles, to study hexose sugars in nanoconfinement. We examine how reverse micelles affect the hexoses, how the hexoses affect reverse micelle formation, and the differences between specific hexoses: glucose, mannose, and galactose. We find that addition of glucose, mannose or galactose to reverse micelles that already contain water leaves their size smaller or nearly unchanged. Introducing aqueous hexose solution yields reverse micelles smaller than those prepared with the same volume of water. We use 1H NMR to show how the nanoconfined environment impacts hexose sugars' anomeric ratios. Nanoconfined mannose and galactose display smaller changes in their anomeric ratios compared to glucose. These conclusions may provide insights about the biological roles of each hexose when studied under a more authentic nanoconfined system.

Multi-parametric Photoacoustic Imaging Combined with Acoustic Radiation Force Impulse Imaging for Applications in Tissue Engineering.

Tissue engineering is a dynamic field focusing on the creation of advanced scaffolds for tissue and organ regeneration. These scaffolds are customized to their specific applications and are often designed to be complex, large structures to mimic tissues and organs. This study addresses the critical challenge of effectively characterizing these thick, optically opaque scaffolds that traditional imaging methods fail to fully image due to their optical limitations. We introduce a novel multi-modal imaging approach combining ultrasound, photoacoustic, and acoustic radiation force impulse imaging. This combination leverages its acoustic-based detection to overcome the limitations posed by optical imaging techniques. Ultrasound imaging is employed to monitor the scaffold structure, photoacoustic imaging is employed to monitor cell proliferation, and acoustic radiation force impulse imaging is employed to evaluate the homogeneity of scaffold stiffness. We applied this integrated imaging system to analyze melanoma cell growth within silk fibroin protein scaffolds with varying pore sizes and therefore stiffness over different cell incubation periods. Among various materials, silk fibroin was chosen for its unique combination of features including biocompatibility, tunable mechanical properties, and structural porosity which supports extensive cell proliferation. The results provide a detailed mesoscale view of the scaffolds' internal structure, including cell penetration depth and biomechanical properties. Our findings demonstrate that the developed multimodal imaging technique offers comprehensive insights into the physical and biological dynamics of tissue-engineered scaffolds. As the field of tissue engineering continues to advance, the importance of non-ionizing and non-invasive imaging systems becomes increasingly evident, and by facilitating a deeper understanding and better characterization of scaffold architectures, such imaging systems are pivotal in driving the success of future tissue-engineering solutions.

Rocky Mountain Spotted Fever in Mexico: A Call to Action.

Rocky Mountain spotted fever (RMSF) is an ongoing public health crisis in Mexico, particularly in states bordering the United States. The national highest incidence and mortality of RMSF occur in this region, resulting in a case-fatality rate that ranges annually between 10% and 50%, primarily affecting vulnerable groups such as children, elderly adults, and persons living in poverty. Multiple biological, environmental, and social determinants can explain its growing presence throughout the country and how it challenges the health system and society. It is necessary to integrate resources and capacities from health authorities, research centers, and society to succeed in dealing with this problem. Through a scientific symposium, a group of academicians, U.S. health officials, and Mexican health authorities met on November 8-10, 2023, in Hermosillo, Mexico, to discuss the current situation of RMSF across the country and the challenges associated with its occurrence. An urgent call for action to improve national capacity against RMSF in the aspects of epidemiological and acarological surveillance, diagnosis, medical care, case and outbreak prevention, health promotion, and research was urged by the experts. The One Health approach is a proven multidisciplinary strategy to integrate policies and interventions to mitigate and prevent the burden of cases, deaths, and suffering caused by RMSF in Mexico.

The development of surgical ability during pediatric urology fellowship and its evolution in the early years of practice.

BACKGROUND: North American Pediatric Urology fellowship programs underwent a structural change in 2021 that allows more flexibility in training. Given this opportunity as well as widespread concern about the development of contemporary surgical trainees, it is prudent to understand in detail the current state of preparedness of pediatric urology fellowship graduates for independent practice. OBJECTIVE: The study aimed to determine recent pediatric urology graduates' reported levels of comfort both at graduation and following the start of clinical practice in performing select index procedures. We also queried the aspects of training and clinical practice perceived to be the most valuable for the development of surgical confidence. STUDY DESIGN: Graduates of ACGME approved pediatric urology fellowships from 2016 to 2021 were surveyed. Index procedures were described via brief case vignettes. Respondents were asked to indicate their comfort level with each index procedure following fellowship graduation and at the current time point. Comfort levels were defined by the degree of support that respondents would seek from senior colleagues in preparation for case booking. Respondents were also asked about the most helpful operative settings during training and factors contributing to high and low comfort. RESULTS: Fifty-three pediatric urologists (49%) completed the survey out of 109 invited. Most respondents practiced at an academic center. Perceived comfort was very high for low complexity procedures. The responses varied more widely for procedures of moderate and significant complexity (Figure). Across the cohort, there was a substantial increase in comfort between graduation and the current time point for all procedures queried. The most highly valued operative settings in fellowship were those offering real or simulated independence. Respondents most often attributed high comfort to robust case volumes and overall surgical skill gained in fellowship. DISCUSSION: New pediatric urology faculty differ widely in surgical confidence, particularly for more complex procedures. There is meaningful growth in the confidence and self-perceived independence of pediatric urologists during their initial years of practice. The early years are a critical time of continuing maturation and development that should be supported with structured systems of mentorship. Future challenges include low case volumes for rare conditions and the centralization of complex care. CONCLUSION: These findings will provide valuable context for pediatric urology fellowship directors as they evaluate and redesign their programs under the new, more flexible structure. There are opportunities to formalize early practice mentorship to support the growth of new faculty.

Global estimation of dietary micronutrient inadequacies: a modelling analysis.

BACKGROUND: Inadequate micronutrient intakes and related deficiencies are a major challenge to global public health. Analyses over the past 10 years have assessed global micronutrient deficiencies and inadequate nutrient supplies, but there have been no global estimates of inadequate micronutrient intakes. We aimed to estimate the global prevalence of inadequate micronutrient intakes for 15 essential micronutrients and to identify dietary nutrient gaps in specific demographic groups and countries. METHODS: In this modelling analysis, we adopted a novel approach to estimating micronutrient intake, which accounts for the shape of a population's nutrient intake distribution and is based on dietary intake data from 31 countries. Using a globally harmonised set of age-specific and sex-specific nutrient requirements, we then applied these distributions to publicly available data from the Global Dietary Database on modelled median intakes of 15 micronutrients for 34 age-sex groups from 185 countries, to estimate the prevalence of inadequate nutrient intakes for 99·3% of the global population. FINDINGS: On the basis of estimates of nutrient intake from food (excluding fortification and supplementation), more than 5 billion people do not consume enough iodine (68% of the global population), vitamin E (67%), and calcium (66%). More than 4 billion people do not consume enough iron (65%), riboflavin (55%), folate (54%), and vitamin C (53%). Within the same country and age groups, estimated inadequate intakes were higher for women than for men for iodine, vitamin B12, iron, and selenium and higher for men than for women for magnesium, vitamin B6, zinc, vitamin C, vitamin A, thiamin, and niacin. INTERPRETATION: To our knowledge, this analysis provides the first global estimates of inadequate micronutrient intakes using dietary intake data, highlighting highly prevalent gaps across nutrients and variability by sex. These results can be used by public health practitioners to target populations in need of intervention. FUNDING: The National Institutes of Health and the Dutch Ministry of Foreign Affairs.

Optimizing photosynthetic light-harvesting under stars: simple and general antenna models.

In the next 10-20 years, several observatories will aim to detect the signatures of oxygenic photosynthesis on exoplanets, though targets must be carefully selected. Most known potentially habitable exo-planets orbit cool M-dwarf stars, which have limited emission in the photosynthetically active region of the spectrum (PAR, 400 < λ < 700 nm) used by Earth's oxygenic photoautotrophs. Still, recent experiments have shown that model cyanobacteria, algae, and non-vascular plants grow comfortably under simulated M-dwarf light, though vascular plants struggle. Here, we hypothesize that this is partly due to the different ways they harvest light, reflecting some general rule that determines how photosynthetic antenna structures may evolve under different stars. We construct a simple thermodynamic model of an oxygenic antenna-reaction centre supercomplex and determine the optimum structure, size and absorption spectrum under light from several star types. For the hotter G (e.g. the Sun) and K-stars, a small modular antenna is optimal and qualitatively resembles the PSII-LHCII supercomplex of higher plants. For the cooler M-dwarfs, a very large antenna with a steep 'energy funnel' is required, resembling the cyanobacterial phycobilisome. For the coolest M-dwarfs an upper limit is reached, where increasing antenna size further is subject to steep diminishing returns in photosynthetic output. We conclude that G- and K-stars could support a range of niches for oxygenic photo-autotrophs, including high-light adapted canopy vegetation that may generate detectable bio-signatures. M-dwarfs may only be able to support low light-adapted organisms that have to invest considerable resources in maintaining a large antenna. This may negatively impact global coverage and therefore detectability.

Fluorescence in-situ hybridization assessment of spindle cell-rich testicular sex cord stromal tumors demonstrates multiple chromosomal gains across histologic subtypes.

Spindle cell-rich testicular sex cord-stromal tumors (TSCSTs) comprise a group that includes mostly (but not exclusively): myoid gonadal stromal tumor (MGST), adult granulosa cell tumor (AGCT), and unclassified TSCST. These entities demonstrate histopathologic overlap, and prior genomic studies have failed to identify specific oncogenic drivers. Results of DNA sequencing suggest that different types of spindle cell-rich TSCSTs harbor a recurrent pattern of chromosomal gains. However, these results have not been validated by alternative methods and the extent of these changes within individual tumors remains unknown. We used a combination of commercially available fluorescence in-situ hybridization (FISH) probes (3q11.2, 6p24.3, 6q11.1, 6q23, 7q11.21-q11.22, 9p21.3, 11q13.3, 17p11.2) to enumerate a subset of chromosomes identified as altered (gained) in prior studies. We analyzed 10 cases (3 MGST, 4 unclassified TSCST, 3 AGCT), including 7 that had been previously sequenced. FISH demonstrated gains of chromosomes 3, 6, 7, 9, and 11 above the pre-established threshold (25%) in 50%, 80%, 70%, 20%, and 40% of cases, respectively, with gains of chromosome 17 being present in only 1 unclassified TSCST. The proportion of cells with chromosomal gains ranged from 26% to 60%. Tumors with available copy number data from prior genomic analyses showed a partial discordance between FISH and sequencing results. This study demonstrates that spindle-cell rich TSCSTs harbor a recurrent pattern of chromosomal gains, which are present in variable subsets of neoplastic cells. Further studies are needed to determine if these chromosomal changes represent a mechanism relevant for oncogenesis or a secondary event.