bluuebunny/crossref_metadata_2025_split huggingface dataset:
Alfieri Stitch (Edge To Edge) in Degenerative Mitral Valve Repair: Characteristics and Late Durability in 648 Patients
Authors: Zwischenberger Brittany A. , Gaca Jeffrey G. , Carr Keith , Cosme Caitlin , Bishawi Muath , Wang Andrew , Glower Donald D. 
Published: January 2025

Background: Mitral valve repair with the edge‐to‐edge technique (Alfieri stitch) has been described for over 20 years, yet little is published on late durability and potential risk of mitral stenosis remains controversial. The primary objective of this study is to describe characteristics and late durability of Alfieri stitch in mitral valve repair.Methods: From 2004 to 2019, we reviewed data from our prospectively maintained institutional database on 1175 consecutive patients with degenerative mitral regurgitation (MR) who underwent repair. Patients undergoing concomitant operations were included. Propensity score matching was performed on patients with and without Alfieri stitch to compare clinical (survival and reoperation) and echocardiographic (moderate or severe MR [“moderate or more MR”], severe MR, and mitral stenosis) outcomes up to 10 years.Results: Overall, 1175 patients underwent mitral valve repair; 55.1% (n = 648) received the Alfieri stitch. The median follow‐up was 4.7 (2.0, 8.2) years. Matched patients with and without Alfieri stitch had similar cumulative incidence (CI) of moderate or more MR (24% ± 5% vs. 17% ± 4%, p = 0.2, respectively), severe MR (5% ± 2% vs. 4% ± 2%, p = 0.3), and mitral reoperation (9% ± 3% vs. 2% ± 1%, p = 0.06) with no difference in survival (84% ± 3% vs. 81% ± 3%, p = 0.2). The Alfieri stitch resulted in a slightly higher mean mitral valve gradient (3.9% ± 1.5 mmHg vs. 3.6% ± 1.6 mmHg, p = 0.0003). The CI of mitral stenosis at 10 years was negligible (one patient with Alfieri stitch and two patients without Alfieri stitch).Conclusions: In selected patients with degenerative mitral regurgitation, mitral valve repair with Alfieri stitch is durable with late outcomes comparable with other repair techniques. The Alfieri stitch may be a useful tool in selecting complex mitral pathology with minimal increased incidence of mitral stenosis. Further investigation is needed to delineate best indications for the use of Alfieri stitch.
A Novel Follow‐Up Model for Type 1 Diabetes in Children Leads to Higher Glycemic Control
Authors: Vonasek Julia , Larsen Isabelle M. , Nikontovic Amar , Thorvig Camilla Maria 
Published: January 2025

Background: Poor glycemic control in type 1 diabetes (T1D) in children leads to a higher risk of diabetic complications. In the pediatric department at the North Denmark Regional Hospital, only one‐third of all children with diabetes were well‐regulated, defined as HbA1c no more than 58 mmol/mol (7.5%), in 2016. Therefore, a novel follow‐up model was developed to increase the proportion of children with well‐regulated T1Ds. The aim of this study was to evaluate the effect of a standardized follow‐up model for poorly regulated diabetes on mean HbA1c.Methods: All children aged 0–18 with T1Ds were included in this study. A novel standardized follow‐up model was developed if HbA1c was greater than 58 mmol/mol (7.5%), in which children were followed more closely until improvement in glycemic control.Results: In the reference year, only one‐third of children with diabetes were well‐regulated and 19% were poorly regulated (HbA1c greater than 75 mmol/mol (9.0%)). After fully implementing the model, two‐thirds of the children had well‐regulated diabetes, and only a few percent had poorly regulated diabetes. The mean HbA1c decreased by almost 10 mmol/mol (or 0.8%) from the reference year to the following years when the model was fully implemented.Conclusion: This follow‐up model for poorly regulated diabetes increased the fraction of children with well‐regulated diabetes in our clinic and significantly decreased mean HbA1c.
Effects of an initial anti-CD19 CAR T-cell therapy on subsequent anti-CD22 CAR T-cell manufacturing and clinical outcomes in patients with r/r LBCL
Authors: Su Yi-Jiun , Kramer Anne Marijn , Hamilton Mark P. , Agarwal Neha , Srinagesh Hrishikesh K. , Baird John H. , Sahaf Bita , Kuo Adam , Ehlinger Zachary J. , Desai Moksha H. , Rietberg Skyler P. , Tunuguntla Ramya , Patel Shabnum , Chinnasamy Harshini , Gkitsas-Long Nikolaos , Klysz Dorota D. , Brown Annie Kathleen. , Bharadwaj Sushma , Dahiya Saurabh , Smith Melody , Muffly Lori , Mackall Crystal L. , Good Zinaida , Feldman Steven A. , Miklos David B. , Frank Matthew J. 
Published: January 2025

Abstract
Patients with large B-cell lymphoma (LBCL) progressing after anti-CD19 CAR T-cell (CAR19) therapy have poor outcomes. Subsequent CAR T-cell therapy shows promise, but the impact of residual CAR19 and early relapse remains unclear. We evaluated 37 CAR19-refractory LBCL patients who received anti-CD22 CAR T-cell (CAR22) in a phase 1b trial (NCT04088890). Residual CAR19 was unquantifiable in 17 of 33 evaluable patients post-CAR22 infusion. Single-cell RNA sequencing revealed minimal CAR19/CAR22 co-transduction. Peak CAR19 transgene levels did not affect CAR22 efficacy or toxicities. CAR22 products from patients undergoing leukapheresis &gt; 6 months post-CAR19 had higher CD4+ naïve T and CD4+/CD8+ T- central memory (TCM) cells, with lower CD4+ T-effector memory cells. High and low percentages of CAR22 TCM and TEM, respectively, were correlated with CAR22 transduction efficiency and achieving complete response. Residual CAR19 and leukapheresis timing did not significantly affect outcomes, while CAR22 product composition was significantly correlated with treatment response.
Vps4a Mediates a Unified Membrane Repair Machinery to Attenuate Ischemia/Reperfusion Injury
Authors: Huang Xiaozhi , Zhang Jiayin , Xu Chen , Cao Ranran , Jiang Peijun , Ji Xue , Wang Wenyi , Huang Zhishan , Han Peidong 
Published: January 2025

BACKGROUND:
Cardiac ischemia/reperfusion disrupts plasma membrane integrity and induces various types of programmed cell death. The ESCRT (endosomal sorting complex required for transport) proteins, particularly AAA-ATPase Vps4a (vacuolar protein sorting 4a), play an essential role in the surveillance of membrane integrity. However, the role of ESCRT proteins in the context of cardiac injury remains unclear.

METHODS:

We simultaneously visualized the formation of membrane blebs and the subcellular translocation of Vps4a during a variety of cell death programs in primary cardiomyocytes.
Vps4a
cardiomyocyte-specific knockout and overexpression mice were generated and characterized. In vivo and ex vivo surgeries were performed to determine the effects of altered Vps4a expression levels on plasma membrane repair and cell survival. Given the role of Ripk3 (receptor-interacting kinase 3)-mediated pore formation in regulating cell membrane integrity, hearts from
Ripk3
and
Vps4a
double-knockout mice were examined. The sequential recruitment of upstream ESCRT components that promote the translocation of Vps4a to injured sites was also assessed using genetic gain- and loss-of-function approaches. Finally, we overexpressed a mutated form of Vps4a with defective ATPase activity and investigated its function during cardiomyocyte membrane repair.

RESULTS:

Ischemia/reperfusion stimulation or forced induction of apoptosis, necroptosis, and pyroptosis in primary cardiomyocytes leads to membrane blebbing and the exposure of phosphatidylserine to the extracellular space. In response to injury, Vps4a promptly translocates to injured sites to reseal damaged membranes.
Vps4a
gain- and loss-of-function in the postnatal stage minimally affects cardiac structure formation and function. However, in the context of ischemia/reperfusion stimulation, overexpression of
Vps4a
protects cardiomyocytes against injury, whereas
Vps4a
-deficient hearts are more susceptible to cell damage. Additionally,
Ripk3
deletion abrogates the detrimental effects of
Vps4a
deficiency during ischemia/reperfusion injury, and the Ca
2+
-Alix-Ist1 axis plays an essential role in recruiting Vps4a to the injured site. Mechanistically, Vps4a promotes the shedding of plasma membrane blebs to restrict permeability to the extracellular environment, and the surveillance of membrane integrity requires the ATPase activity of Vps4a.

CONCLUSIONS:
These results demonstrate that Vps4a-mediated plasma membrane repair is an intrinsic cell protection machinery that antagonizes cardiac ischemia/reperfusion injury, and our findings may contribute to the development of therapeutic strategies towards attenuating cardiac injury.
Translational network neuroscience: Nine roadblocks and possible solutions
Authors: Fekonja Lucius S. , Forkel Stephanie J. , Aydogan Dogu Baran , Lioumis Pantelis , Cacciola Alberto , Lucas Carolin Weiβ , Tournier Jacques-Donald , Vergani Francesco , Ritter Petra , Schenk Robert , Shams Boshra , Engelhardt Melina Julia , Picht Thomas 
Published: January 2025

ABSTRACT
Translational network neuroscience aims to integrate advanced neuroimaging and data analysis techniques into clinical practice to better understand and treat neurological disorders. Despite the promise of technologies such as functional MRI and diffusion MRI combined with network analysis tools, the field faces several challenges that hinder its swift clinical translation. We have identified nine key roadblocks that impede this process: (a) theoretical and basic science foundations; (b) network construction, data interpretation, and validation; (c) MRI access, data variability, and protocol standardization; (d) data sharing; (e) computational resources and expertise; (f) interdisciplinary collaboration; (g) industry collaboration and commercialization; (h) operational efficiency, integration, and training; and (i) ethical and legal considerations. To address these challenges, we propose several possible solution strategies. By aligning scientific goals with clinical realities and establishing a sound ethical framework, translational network neuroscience can achieve meaningful advances in personalized medicine and ultimately improve patient care. We advocate for an interdisciplinary commitment to overcoming translational hurdles in network neuroscience and integrating advanced technologies into routine clinical practice.
Multilayer network analysis across cortical depths in 7-T resting-state fMRI
Authors: Kotlarz Parker , Lankinen Kaisu , Hakonen Maria , Turpin Tori , Polimeni Jonathan R. , Ahveninen Jyrki 
Published: January 2025

ABSTRACT
In graph theory, “multilayer networks” represent systems involving several interconnected topological levels. One example in neuroscience is the stratification of connections between different cortical depths or “laminae,” which is becoming noninvasively accessible in humans using ultrahigh-resolution functional MRI (fMRI). Here, we applied a multilayer graph theory to examine functional connectivity across different cortical depths in humans, using 7-T fMRI (1-mm3 voxels; 30 participants). Blood oxygenation level dependent (BOLD) signals were derived from five depths between the white matter and pial surface. We compared networks where the interregional connections were limited to a single cortical depth only (“layer-by-layer matrices”) with those considering all possible connections between areas and cortical depths (“multilayer matrix”). We utilized global and local graph theory features that quantitatively characterize network attributes including network composition, nodal centrality, path-based measures, and hub segregation. Detecting functional differences between cortical depths was improved using multilayer connectomics compared with the layer-by-layer versions. Superficial depths of the cortex dominated information transfer, and deeper depths drove clustering. These differences were largest in frontotemporal and limbic regions. fMRI functional connectivity across different cortical depths may contain neurophysiologically relevant information; thus, multilayer connectomics could provide a methodological framework for studies on how information flows across this stratification.
Test-retest reliability of dynamic functional connectivity parameters for a two-state model
Authors: Fang Xiaojing , Marxen Michael 
Published: January 2025

Abstract
Reliability of imaging parameters is of pivotal importance for further correlation analyses. Here, we investigated the test-retest reliability of two dynamic functional connectivity (dFC) brain states and related parameters for different scan length, atlases with 116 versus 442 regions, and data centering in 23 participants and reproduced the findings in 501 subjects of the Human Connectome Project. Results showed an integrated and a segregated brain state with high intraclass correlation coefficient (ICC) values of the states between sessions (0.67 ≥ ICC ≥ 0.99). The most reliable dFC parameter was state prevalence with an ICC ≈ 0.5 for ∼15 min of uncentered data, while other parameters, such as mean dwell time, were much less reliable. While shorter scans and within-subject data centering further reduce reliability, the atlas choice had no effects. Spearman’s correlations among dFC parameters strongly depend on data centering. The effect of global signal regression and a higher number of states is discussed. In conclusion, we recommend formulating hypotheses on cross-sectional differences and correlations between dFC measures of brain integration and other subject-specific measures in terms of state prevalence, especially in small-scale studies.
Whole-brain causal discovery using fMRI
Authors: Arab Fahimeh , Ghassami AmirEmad , Jamalabadi Hamidreza , Peters Megan A. K. , Nozari Erfan 
Published: January 2025

Abstract
Despite significant research, discovering causal relationships from fMRI remains a challenge. Popular methods such as Granger causality and dynamic causal modeling fall short in handling contemporaneous effects and latent common causes. Methods from causal structure learning literature can address these limitations but often scale poorly with network size and need acyclicity. In this study, we first provide a taxonomy of existing methods and compare their accuracy and efficiency on simulated fMRI from simple topologies. This analysis demonstrates a pressing need for more accurate and scalable methods, motivating the design of Causal discovery for Large-scale Low-resolution Time-series with Feedback (CaLLTiF). CaLLTiF is a constraint-based method that uses conditional independence between contemporaneous and lagged variables to extract causal relationships. On simulated fMRI from the macaque connectome, CaLLTiF achieves significantly higher accuracy and scalability than all tested alternatives. From resting-state human fMRI, CaLLTiF learns causal connectomes that are highly consistent across individuals, show clear top-down flow of causal effect from attention and default mode to sensorimotor networks, exhibit Euclidean distance dependence in causal interactions, and are highly dominated by contemporaneous effects. Overall, this work takes a major step in enhancing causal discovery from whole-brain fMRI and defines a new standard for future investigations.
A Reconsideration of the Issue of Authorship in the Vinaya
Authors: Shiri Yael 
Published: January 2025

Abstract
When discussing the transmission of the Monastic Codes (Vinaya) that have come down to us, we often opt to speak of their “authors,” implying a sense of agency and intention in the formation of these complex and narrative-laden compositions. This article, focusing in particular on the Mūlasarvāstivāda-vinaya, offers a reconsideration of these historic agents and possibly their own self-representation. The various Buddhist Monastic Codes were said to be transmitted by proficient “Bearers of the Discipline” – the vinayadharas. Who were the vinayadharas? Did they merely transmit existing utterances, or perhaps fashion and reshape the tradition as authors? In a section of their law code (the Śayanāsanavastu), the vinayadharas of the Mūlasarvāstivādin fraternity describe their role in their own words. By closely reading this description, this article will address the questions above in the hope of contributing to the discussion on issues such as authorship, creativity, and agency in the Buddhist textual tradition.
The Influence of North Atlantic Sea Surface Temperature and Sea Ice in the Barents Sea on Spring Mongolian Cyclone Activity
Authors: Wang Jing , Chen Lei , Li Shuanglin 
Published: January 2025

Abstract
The Mongolian cyclone, a type of extratropical cyclone, significantly impacts regional weather. This study objectively identifies and tracks the Mongolian cyclone during spring (March–May) from 1950 to 2022, analyzing the relationships between its interannual variability, atmospheric circulations, sea surface temperature (SST), and Arctic sea ice concentration (SIC). The results show that the negative height anomaly over Lake Baikal is a key circulation system for the abnormal increase in spring Mongolian cyclones. The anomalous decrease in North Atlantic SST during spring leads to a negative east Atlantic/western Russia (EA/WR) pattern, resulting in a negative height anomaly over Lake Baikal. Additionally, the reduction in Barents Sea SIC weakens the polar vortex circulation, contributing to the negative anomaly over Lake Baikal and promoting Mongolian cyclone development. Numerical simulations confirm these observations, indicating that both the negative anomalies in North Atlantic SST and Barents Sea SIC independently affect the interannual variation in spring Mongolian cyclone frequency. Furthermore, the combined effect of SST and SIC anomalies has a more pronounced influence on spring Mongolian cyclone activity compared to their individual effects.

Significance Statement
The objective of this study is to enhance our understanding of the relationship between interannual variations in spring Mongolian cyclone frequency, sea surface temperature, and Arctic Sea ice concentration. The Mongolian cyclone can result in severe weather phenomena, such as strong winds and sandstorms, which significantly impact both human lives and property. Given the context of global warming, predicting Mongolian cyclone has become increasingly uncertain. Our research findings suggest that the anomalous decrease in North Atlantic sea surface temperatures and the reduction of sea ice concentration in the Barents Sea significantly influence the frequency of spring Mongolian cyclone.
Severe Weather Verification of a FV3-LAM regional ensemble during the 2022 NOAA Hazardous Weather Testbed Spring Forecasting Experiment
Authors: Johnson Marcus , Snook Nathan , Park Jun , Xue Ming , Brewster Keith A. , Supinie Timothy , Hu Xiao-Ming 
Published: January 2025

Abstract
As part of the 2022 NOAA Hazardous Weather Testbed Spring Forecasting Experiment, the Center for Analysis and Prediction of Storms produced FV3-LAM real-time ensemble forecasts to study its use in convection-allowing ensemble forecasts for the severe weather forecasting problem and to inform the optimization of the upcoming operational Rapid Refresh Forecast System. We evaluate deterministic and ensemble forecasts in terms of surrogate severe weather reports (SSRs) and surrogate severe probability forecasts (SSPFs) created from simulated 0–3- and 2–5-km updraft helicity (UH), and 10-m wind speed. Forecasts are verified against observed storm reports (OSRs) and observed severe probabilistic fields (OSPFs) derived from tornado and hail, wind, and all types of local storm reports, and 0600 UTC Day 1 convective outlooks issued by the Storm Prediction Center (SPC) for three cases.
UH ensemble SSPFs have better reliability and discrimination when verified with OSRs from all storm reports. Spatial smoothing generally increases reliability while smaller smoothing lengths optimize discrimination ability. Case studies demonstrate that UH SSPFs are consistent with SPC Day 1 convective outlooks, indicating that these forecasts are qualitatively similar to operational guidance. The ensemble mean of SSRs is generally more skillful than individual members when based on UH, but not 10-m wind. In fact, SSRs and SSPFs based on 10-m wind display little skill predicting severe wind events; we therefore conclude that UH seems to better inform severe hazard risk, even compared to prognosed surface wind speed. Model resolution dictates its ability to prognose rotating updrafts and severe wind.
A systematic review of neurocognition and social cognition in body dysmorphic disorder
Authors: Katrina Holmes à Court , Malcolm Amy , Toh Wei Lin , Rossell Susan L 
Published: January 2025

Objective: Neurocognitive underpinnings are implicated in the aetiology and maintenance of body dysmorphic disorder (BDD); however, inconsistent findings across a range of neurocognitive domains suggest that a comprehensive synthesis of the literature using a hierarchical framework of neurocognition is needed. Methods: A final search across OVID Medline, PsycNET, Scopus and Web of Science databases was conducted on 20 June 2024 to identify research that examined performance on behavioural tasks of objective neurocognition in BDD. Risk of bias was assessed using the Newcastle-Ottawa Scale. Fifty-four studies aligned with the following inclusion criteria: (1) full-text; (2) peer-reviewed; (3) published in English; (4) employed a neurocognitive task with an objective outcome and (5) involved a case-controlled paradigm consisting of BDD and healthy control samples. Findings were synthesised according to neurocognitive sub-domains viewed as a hierarchy from basic to higher-level domains. Results: Neurocognitive differences in BDD relative to controls were identified at almost all levels of the hierarchy, most consistently in the upper domains of executive function and social cognition. Vulnerabilities were also demonstrated in the sub-domains of visual perception of faces, Gestalt processing, selective attention to faces and verbal memory. Methodological limitations or the influence of neurocognitive sub-groups may contribute to inconsistencies across the literature. Conclusions: Although neurocognitive differences appear central to BDD, a picture of neurocognitive heterogeneity emerged with the salience of stimuli important and a likely bias to local-over-global processing demonstrated across the domains.
State Finance in India: Emerging Issues and Fiscal Challenges
Authors: Chakraborty Pinaki , Bhadra Kausik K. 
Published: January 2025

There have been significant post-pandemic fiscal corrections in India at the Union and State levels. Our analysis shows that excessive fiscal corrections by some States coupled with the emergence of revenue deficits resulted in underutilisation of fiscal space and lower capital expenditure than its potential at the State level. However, many fiscal risks remain. Some of the major risks include increasing off-budget operations by the States. The study notes that a future bailout of distribution companies (DISCOMs) may significantly reduce fiscal space for development spending at the State level. The study concludes that State-specific fiscal risks need appropriate policy consideration for a sustainable fiscal recovery. JEL Codes: H72, H74