BLM helicase unwinds lagging strand substrates to assemble the ALT telomere damage response.

The Bloom syndrome (BLM) helicase is critical for alternative lengthening of telomeres (ALT), a homology-directed repair (HDR)-mediated telomere maintenance mechanism that is prevalent in cancers of mesenchymal origin. The DNA substrates that BLM engages to direct telomere recombination during ALT remain unknown. Here, we determine that BLM helicase acts on lagging strand telomere intermediates that occur specifically in ALT-positive cells to assemble a replication-associated DNA damage response. Loss of ATRX was permissive for BLM localization to ALT telomeres in S and G2, commensurate with the appearance of telomere C-strand-specific single-stranded DNA (ssDNA). DNA2 nuclease deficiency increased 5'-flap formation in a BLM-dependent manner, while telomere C-strand, but not G-strand, nicks promoted ALT. These findings define the seminal events in the ALT DNA damage response, linking aberrant telomeric lagging strand DNA replication with a BLM-directed HDR mechanism that sustains telomere length in a subset of human cancers.

Supramolecular Interactions-Assisted Polymorphism and Unique Mechanofluorochromism in 9,10-Bis((E)-4-(trifluoromethyl)styryl)anthracene.

A fluorinated distyrylanthracene (DSA) derivative, 9, 10-bis((E)-4-(trifluoromethyl)styryl)anthracene abbreviated as 4FDSA with two crystalline polymorphs (4FDSA-G (green emission) and 4FDSA-O (orange emission)), showing remarkable aggregation-induced enhanced emission and mechanofluorochromic characteristics, was developed. One of the polymorphs in its crystalline arrangement exhibits the hardly seen F…F interactions. It questions the conventional belief of the non-polarisable nature of fluorine atoms in forming the halogen bond. The twisted molecular conformation facilitated by the various supramolecular interactions resulted in the formation of another intensely emissive bluer nanocrystal (4FDSA-NC) at aggregating conditions. Even though, the both polymorphs show distinct tricolor luminescence switching on the action of mechanical force, fumigation of ground crystals with solvent vapor resulted in the formation of a more thermodynamically favorable 4FDSA-NC form. The work demonstrates the effect of supramolecular interactions assisted conformational changes in tuning the unique mechanofluorochromic characteristics of the polymorphic crystals.

A novel benzothiophene incorporated Schiff base acting as a "turn-on" sensor for the selective detection of Serine in organic medium.

A novel fluorogenic sensor N-benzo[b]thiophen-2-yl-methylene-4,5-dimethyl-benzene-1,2-diamine (BTMPD) was synthesized and characterized by using spectroscopic methods including UV-visible, FT-IR, 1H NMR, 13C NMR, and mass spectrometry. The designed fluorescent probe, owing to its remarkable properties, behaves as an efficient turn-on sensor for the sensing of amino acid Serine (Ser). Also, the strength of the probe enhances upon the addition of Ser via charge transfer, and the renowned properties of the fluorophore were duly found. The sensor BTMPD shows incredible execution potential with respect to key performance indicators such as high selectivity, sensitivity, and low detection limit. The concentration change was linear ranging from 5 × 10-8 M to 3 × 10-7 M, which is an indication of the low detection limit of 1.74 ± 0.02 nM under optimal reaction conditions. Interestingly, the Ser addition leads to an increased intensity of the probe at λ = 393 nm which other co-existing species did not. The information about the arrangement and the features of the system and the HOMO-LUMO energy levels was found out theoretically using DFT calculations which is fairly in good agreement with the experimental cyclic voltammetry results. The fluorescence sensing using the synthesized compound BTMPD reveals the practical applicability and its application in real sample analysis.

Analyzing the Scholarly Impact of Cardiothoracic Surgery Research Using the Relative Citation Ratio.

INTRODUCTION: The National Institutes of Health (NIH) recently developed the relative citation ratio (RCR), calculated as article citations benchmarked to NIH-funded publications in the same field. Here, we characterized the scholarly impact of academic cardiothoracic (CT) surgeons and their research using the RCR. MATERIALS AND METHODS: Using a database of 992 CT surgeons, we calculated the RCR for all articles published by each surgeon since 1980 using the NIH iCite database. All data were collected from publicly available online sources. Data are presented as median (interquartile range) or as odds ratios (ORs) for multivariable logistic regression analysis. RESULTS: Where RCR 1.00 indicates equal impact as an NIH-funded publication, the RCR among all 37,402 CT surgery articles was 0.84 (0.33-1.83) and the RCR among NIH-funded CT surgery articles was 1.07 (0.53-2.17). CT surgeons exhibited a career median RCR of 0.82 (0.54-1.13) and maximum RCR of 6.20 (3.04-13.57). Predictors of career median RCR >1.00 included female gender (OR 2.23, P = 0.001), thoracic subspecialization (OR 2.50, P < 0.001), full professor rank (OR 1.89, P = 0.001), and NIH funding (OR 1.75, P = 0.001). Predictors of career maximum RCR >50th percentile among CT surgeons included male gender (OR 1.87, P = 0.030), thoracic subspecialization (OR 2.05, P < 0.001), full professor rank (OR 4.89, P < 0.001), NIH funding (OR 3.17, P < 0.001), and career duration (OR 1.03, P = 0.002). CONCLUSIONS: We present the first assessment of the NIH-validated RCR for academic CT surgery. CT surgery research is highly impactful, although gender disparities persist with respect to the highest-impact research of our specialty.

Characterization of Cardiothoracic Surgeons Actively Leading Basic Science Research.

BACKGROUND: There is increasing concern regarding the attrition of surgeon-scientists in cardiothoracic (CT) surgery. However, the characteristics of CT surgeons who are actively leading basic science research (BSR) have not been examined. We hypothesized that early exposure to BSR during training and active grant funding are important factors that facilitate the pursuit of BSR among practicing CT surgeons. MATERIALS AND METHODS: We created a database of 992 CT surgeons listed as faculty at accredited United States CT surgery teaching hospitals in 2018. Data regarding each surgeon's training/professional history, publication record, and National Institutes of Health funding were acquired from publicly available online sources. Surgeons who published at least one first- or last-author paper in 2017-2018 were considered to be active, lead researchers. RESULTS: Of the 992 CT surgeons, 73 (7.4%) were actively leading BSR, and 599 (60.4%) were actively leading only non-BSR. Only 2 women were actively leading BSR. Surgeons actively leading BSR were more likely to have earned a PhD degree (20.5% versus 9.7%, P = 0.0049), and more likely to have published a first-author BSR paper during training (76.7% versus 40.9%, P< 0.0001). Surgeons actively leading BSR were also more likely to have an active National Institutes of Health grant (34.2% versus 5.8%, P< 0.0001), especially an R01 grant (21.9% versus 2.5%, P< 0.0001). CONCLUSIONS: A small minority of CT surgeons at academic training hospitals are actively leading BSR. In order to facilitate the development of surgeon-scientists, additional support must be given to trainees and junior faculty, especially women, to enable early engagement in BSR.

Decreased Nutritional Risk Index is associated with mortality after heart transplantation.

INTRODUCTION: Validated scoring tools, such as the Nutritional Risk Index (NRI), can aid clinicians in quantifying the degree of malnourishment in patients prior to an operation. We evaluated the association between NRI and outcomes after heart transplantation. METHODS: The United Network for Organ Sharing (UNOS) database was used to identify adult patients (age > 18) undergoing heart transplantation between 1987 and 2016. NRI was calculated and categorized into previously established groupings representing severity of malnutrition. Multivariate Cox proportional hazards modeling were used to assess the primary outcome of all-cause mortality. RESULTS: A total of 25,236 patients were included in the analysis. Most patients (75.4%) were male. Malnourishment was absent (NRI ≥ 100) in 11,022 (44%) patients, while 2,898 (12%) were mildly malnourished (97.5 ≤ NRI < 100), 8,685 (34%) were moderately malnourished (83.5 ≤ NRI < 97.5), and 2,631 (10%) were severely malnourished (NRI < 83.5). Moderate-to-severe malnutrition was associated with increased mortality (HR = 1.18, p < .001, 95%CI: 1.13-1.24), and post-transplant renal failure requiring dialysis (OR: 1.13, p < .001, 95%CI: 1.03-1.23). CONCLUSION: Malnourishment determined by NRI is independently associated with mortality and post-transplant dialysis after heart transplant. This is the largest study of NRI in heart transplant recipients.

Photonic crystal lightsail with nonlinear reflectivity for increased stability.

Recent research has studied the feasibility of using laser radiation pressure to propel lightweight spacecraft, such as sails, at relativistic speeds. One major challenge is the effect of laser beam distortion on sail stability. We propose and investigate the use of lightsails based on Kerr nonlinear photonic crystals as a passive method for increasing sail stability. The key concept is to flatten the dependence of reflected intensity on incident intensity at the laser wavelength, using a specially designed, guided-resonance mode of the nonlinear photonic crystal. We use coupled-mode theory to analyze the resonance characteristics that yield the flattest curve. We then design a silicon nitride photonic crystal that supports a resonance with the desired properties. We show that our design simultaneously provides both high stability and high thrust on the sail, unlike designs based on linear materials.

Tunable, polarization-sensitive, dual guided-resonance modes in photonic crystals.

We present a photonic-crystal design which supports multiple guided-resonance modes in a narrow spectral range. Introduction of mutually-orthogonal slots within a conventional lattice allows us to create polarization-sensitive guided modes with distinct near-field periodicities and tunable resonance wavelengths. The device can potentially be used as a reconfigurable optical trap, multiband tunable filter, or differential sensor.

Delayed Surgical Management of Type A Intramural Hematoma Is Not Associated with Worse Outcomes Than Emergent Operation.

OBJECTIVES: Management of acute aortic intramural hematomas (IMHs) involving the ascending aorta and root remains controversial. Some series have suggested that delaying operative intervention beyond the first 24-hours may be beneficial. METHODS: A retrospective single-institution analysis was performed to identify patients presenting with type A IMH. These patients were classified by whether they underwent surgery within 24 hours or delayed operative intervention. Patients with additional indications for emergent operation, such as acute aortic regurgitation or malperfusion syndromes, were excluded. Outcomes were assessed with logistic regression, and the Kaplan-Meier method was used to analyze long-term survival. RESULTS: Of the 129 patients with acute type A aortic pathology, 36 (27.9%) presented with isolated IMH. IMH patients were less likely to present with acute aortic regurgitation (8.6% versus 27.9%, P = .020) or limb ischemia (0% versus 12.6%, P = .027). Of the IMH patients without other emergent operative indications, 23 (67.6%) underwent surgery within 24 hours. Delayed operative repair was not associated with increased risk of mortality, stroke, or renal failure (all P >.05). Survival analysis showed no difference in survival at 1 year. CONCLUSIONS: In well-selected patients, delayed operation for type An intramural hematoma is not associated with adverse outcomes.

Tunable size selectivity and nanoparticle immobilization on a photonic crystal optical trap.

We harness residual thermal effects in a low-absorptivity system to manipulate parallel optical trapping of particles on the nanoscale. A photonic crystal is used to generate a 2D array of optical traps. We show that the size selectivity of the trap can be tuned by adding a non-ionic surfactant to the solution, altering the thermophoretic effect that delivers nanoparticles to trapping sites. We further show that particles can be permanently immobilized on the photonic crystal via photopolymerization of the trapping medium.

Framed, Interactive Theory-Driven Texting: Effects of Message Framing on Health Behavior Change for Weight Loss.

More approaches to support weight control are needed, especially among racial minorities who shoulder a disproportionate obesity burden. Using an approach influenced by regulatory fit theory, we conducted a 28-day, 4-arm experimental trial with 89 obese adults recruited from urban, predominantly African American churches to ascertain the efficacy of framed text messages to motivate behaviors conducive to weight loss. Participants were assigned to receive message framing that was matched versus mismatched to their motivational orientation. Results were mixed overall; however, matched texts elicited greater motivation to change eating and exercise behavior, suggesting promise in using motivational approaches to tailor messages.

Enhanced and selective optical trapping in a slot-graphite photonic crystal.

Applicability of optical trapping tools for nanomanipulation is limited by the available laser power and trap efficiency. We utilized the strong confinement of light in a slot-graphite photonic crystal to develop high-efficiency parallel trapping over a large area. The stiffness is 35 times higher than our previously demonstrated on-chip, near field traps. We demonstrate the ability to trap both dielectric and metallic particles of sub-micron size. We find that the growth kinetics of nanoparticle arrays on the slot-graphite template depends on particle size. This difference is exploited to selectively trap one type of particle out of a binary colloidal mixture, creating an efficient optical sieve. This technique has rich potential for analysis, diagnostics, and enrichment and sorting of microscopic entities.

Clinical Relevance of Left Atrial Strain to Predict Recurrence of Atrial Fibrillation after Catheter Ablation: A Meta-Analysis.

BACKGROUND: The purpose of this meta-analysis was to analyze the clinical relevance of left atrial (LA) strain to predict recurrence of atrial fibrillation (AF) after catheter ablation (CA). METHODS AND RESULTS: We searched in different databases (Medline, EMBASE, and Cochrane) prospective studies that analyzed LA strain before CA. Eight studies (2 with only paroxysmal AF and 6 with mixed population of paroxysmal and persistent AF) were included in the final analysis (total patient number = 686). Patients with recurrence of AF were principally characterized by lower LA strain in comparison with those without AF recurrence (mean 18.4% [range 8.8-24.5%] versus 25.3% [13.6-32.7%], weighted mean difference -4.89% [95% CI -5.83% to -3.95%], P < 0.001). In addition, receiver operating curves shown that LA strain was strongly associated with recurrence of AF after CA (weighted mean: AUC 0.798 [95% CI 0.700-0.943], cutoff 22.8% [18.8-30%], sensitivity 78% [65-86%], and specificity 75% [66-100%]). In line, these results were similar using LA strain with QRS-analysis and P-analysis as well as using different software package such as Echo-Pac, QLab, TomTec, and VVI. CONCLUSION: In patients with AF candidate for CA, the analysis of the LA using LA strain could be of great usefulness to identify patients with high risk of AF recurrence. Nonetheless, further studies are needed to establish the clinical relevance of LA strain in patients with persistent AF.

Multilayer nanoparticle arrays for broad spectrum absorption enhancement in thin film solar cells.

In this paper, we present a theoretical study on the absorption efficiency enhancement of a thin film amorphous Silicon (a-Si) photovoltaic cell over a broad spectrum of wavelengths using multiple nanoparticle arrays. The light absorption efficiency is enhanced in the lower wavelengths by a nanoparticle array on the surface and in the higher wavelengths by another nanoparticle array embedded in the active region. The efficiency at intermediate wavelengths is enhanced by the simultaneous resonance from both nanoparticle layers. We optimize this design by tuning the radius of particles in both arrays, the period of the array and the distance between the two arrays. The optimization results in a total quantum efficiency of 62.35% for a 0.3 µm thick a-Si substrate.

Beating Heart Transplantation: How to Do It.

Heart transplantation utilizing deceased after circulatory death (DCD) donors has expanded the donor pool through the use of ex vivo normothermic perfusion. Compared with brain death donation, the conventional method of performing DCD heart transplantation includes an additional period of warm and cold ischemia. We have developed a beating heart implantation technique that obliviates the need for a second cardioplegic arrest and the associated reperfusion injury. We hypothesize this reproducible method may improve short-term and long-term outcomes to mirror results seen in brain death donors and provide details on how to perform beating heart transplantation.

Beating Heart Transplant Procedures Using Organs From Donors With Circulatory Death.

Importance: The use of ex vivo normothermic organ perfusion has enabled the use of deceased after circulatory death (DCD) donors for heart transplants. However, compared with conventional brain death donation, DCD heart transplantation performed with ex vivo organ perfusion involves an additional period of warm and cold ischemia, exposing the allograft to multiple bouts of ischemia reperfusion injury and may contribute to the high rates of extracorporeal membrane oxygenation usage after DCD heart transplantation. Objective: To assess whether the beating heart method of DCD heart transplantation is safe and whether it has an acceptable rate of extracorporeal membrane oxygenation use postoperatively. Design, Setting, and Participants: This case series includes 10 patients with end-stage heart failure undergoing DCD heart transplantation at a single academic medical center from October 1, 2022, to August 3, 2023. Data were analyzed from October 2022 to August 2023. Interventions: Using a beating heart method of implantation of the donor allograft. Main Outcomes and Measures: The main outcome was primary graft dysfunction necessitating postoperative initiation of mechanical circulatory support. Survival and initiation of mechanical circulatory support were secondary outcomes. Results: In this case series, 10 consecutive patients underwent DCD heart transplantation via the beating heart method. Ten of 10 recipients were male (100%), the mean (SD) age was 51.2 (13.8) years, and 7 (70%) had idiopathic dilated cardiomyopathy. Ten patients (100%) survived, and 0 patients had initiation of extracorporeal membrane oxygenation postoperatively. No other mechanical circulatory support, including intra-aortic balloon pump, was initiated postoperatively. Graft survival was 100% (10 of 10 patients), and, at the time of publication, no patients have been listed for retransplantation. Conclusions and Relevance: In this study of 10 patients undergoing heart transplantation, the beating heart implantation method for DCD heart transplantation was safe and may mitigate ischemia reperfusion injury, which may lead to lower rates of primary graft dysfunction necessitating extracorporeal membrane oxygenation. These results are relevant to institutions using DCD donors for heart transplantation.

Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks.

BACKGROUND: The kernel used in CT image reconstruction is an important factor that determines the texture of the CT image. Consistency of reconstruction kernel choice is important for quantitative CT-based assessment as kernel differences can lead to substantial shifts in measurements unrelated to underlying anatomical structures. PURPOSE: In this study, we investigate kernel harmonization in a multi-vendor low-dose CT lung cancer screening cohort and evaluate our approach's validity in quantitative CT-based assessments. METHODS: Using the National Lung Screening Trial, we identified CT scan pairs of the same sessions with one reconstructed from a soft tissue kernel and one from a hard kernel. In total, 1000 pairs of five different paired kernel types (200 each) were identified. We adopt the pix2pix architecture to train models for kernel conversion. Each model was trained on 100 pairs and evaluated on 100 withheld pairs. A total of 10 models were implemented. We evaluated the efficacy of kernel conversion based on image similarity metrics including root mean squared error (RMSE), peak signal-to-noise ratio (PSNR), and structural similarity index measure (SSIM) as well as the capability of the models to reduce measurement shifts in quantitative emphysema and body composition measurements. Additionally, we study the reproducibility of standard radiomic features for all kernel pairs before and after harmonization. RESULTS: Our approach effectively converts CT images from one kernel to another in all paired kernel types, as indicated by the reduction in RMSE (p < 0.05) and an increase in the PSNR (p < 0.05) and SSIM (p < 0.05) for both directions of conversion for all pair types. In addition, there is an increase in the agreement for percent emphysema, skeletal muscle area, and subcutaneous adipose tissue (SAT) area for both directions of conversion. Furthermore, radiomic features were reproducible when compared with the ground truth features. CONCLUSIONS: Kernel conversion using deep learning reduces measurement variation in percent emphysema, muscle area, and SAT area.

Characterizing patterns of DTI variance in aging brains.

Background: As large analyses merge data across sites, a deeper understanding of variance in statistical assessment across the sources of data becomes critical for valid analyses. Diffusion tensor imaging (DTI) exhibits spatially varying and correlated noise, so care must be taken with distributional assumptions. Purpose: We characterize the role of physiology, subject compliance, and the interaction of subject with the scanner in the understanding of DTI variability, as modeled in spatial variance of derived metrics in homogeneous regions. Methods: We analyze DTI data from 1035 subjects in the Baltimore Longitudinal Study of Aging (BLSA), with ages ranging from 22.4 to 103 years old. For each subject, up to 12 longitudinal sessions were conducted. We assess variance of DTI scalars within regions of interest (ROIs) defined by four segmentation methods and investigate the relationships between the variance and covariates, including baseline age, time from the baseline (referred to as "interval"), motion, sex, and whether it is the first scan or the second scan in the session. Results: Covariate effects are heterogeneous and bilaterally symmetric across ROIs. Inter-session interval is positively related (p ≪ 0.001) to FA variance in the cuneus and occipital gyrus, but negatively (p ≪ 0.001) in the caudate nucleus. Males show significantly (p ≪ 0.001) higher FA variance in the right putamen, thalamus, body of the corpus callosum, and cingulate gyrus. In 62 out of 176 ROIs defined by the Eve type-1 atlas, an increase in motion is associated (p < 0.05) with a decrease in FA variance. Head motion increases during the rescan of DTI (Δµ = 0.045 millimeters per volume). Conclusions: The effects of each covariate on DTI variance, and their relationships across ROIs are complex. Ultimately, we encourage researchers to include estimates of variance when sharing data and consider models of heteroscedasticity in analysis. This work provides a foundation for study planning to account for regional variations in metric variance.

Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites.

Connectivity matrices derived from diffusion MRI (dMRI) provide an interpretable and generalizable way of understanding the human brain connectome. However, dMRI suffers from inter-site and between-scanner variation, which impedes analysis across datasets to improve robustness and reproducibility of results. To evaluate different harmonization approaches on connectivity matrices, we compared graph measures derived from these matrices before and after applying three harmonization techniques: mean shift, ComBat, and CycleGAN. The sample comprises 168 age-matched, sex-matched normal subjects from two studies: the Vanderbilt Memory and Aging Project (VMAP) and the Biomarkers of Cognitive Decline Among Normal Individuals (BIOCARD). First, we plotted the graph measures and used coefficient of variation (CoV) and the Mann-Whitney U test to evaluate different methods' effectiveness in removing site effects on the matrices and the derived graph measures. ComBat effectively eliminated site effects for global efficiency and modularity and outperformed the other two methods. However, all methods exhibited poor performance when harmonizing average betweenness centrality. Second, we tested whether our harmonization methods preserved correlations between age and graph measures. All methods except for CycleGAN in one direction improved correlations between age and global efficiency and between age and modularity from insignificant to significant with p-values less than 0.05.

Four decades of progress in heart-lung transplantation: Two hundred seventy-one cases at a single institution.

OBJECTIVE: The objective of this study is to evaluate survival for combined heart-lung transplant (HLTx) recipients across 4 decades at a single institution. We aim to summarize our contemporary practice based on more than 271 HLTx procedures over 40 years. METHODS: Data were collected from a departmental database and the United Network for Organ Sharing. Recipients younger than age 18 years, those undergoing redo HLTx, or triple-organ system transplantation were excluded, leaving 271 patients for analysis. The pioneering era was defined by date of transplant between 1981 and 2000 (n = 155), and the modern era between 2001 and 2022 (n = 116). Survival analysis was performed using cardinality matching of populations based on donor and recipient age, donor and recipient sex, ischemic time, and sex matching. RESULTS: Between 1981 and 2022, 271 HLTx were performed at a single institution. Recipients in the modern era were older (age 42 vs 34 y; P < .001) and had shorter waitlist times (78 vs 234 days; P < .001). Allografts from female donors were more common in the modern era (59% vs 39%; P = .002). In the matched survival analysis, 30-day survival (97% vs 84%; P = .005), 1-year survival (89% vs 77%; P = .041), and 10-year survival (53% vs 26%; P = .012) significantly improved in the modern era relative to the pioneering era, respectively. CONCLUSIONS: Long-term survival in HLTx is achievable with institutional experience and may continue to improve in the coming decades. Advances in mechanical circulatory support, improved maintenance immunosuppression, and early recognition and management of acute complications such as primary graft dysfunction and acute rejection have dramatically improved the prognosis for recipients of HLTx in our contemporary institutional experience.