bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hispanic survival paradox: a systematic review of short-term hospital readmissions among Hispanic kidney transplant recipients in the United States
Authors: Meléndez Grecia B. Vargas , Jopson Andrew D. , Alvarado Flor , Gaskin Darrell J. , Purnell Tanjala S. 
Published: January 2025

Purpose of review
The epidemiologic phenomenon known as the “Hispanic paradox” postulates that Hispanic/Latino Americans generally tend to live longer than other racial/ethnic communities, despite facing many socioeconomic disadvantages and other healthcare barriers. Whether this phenomenon is relevant among kidney transplantation (KT) recipients remains unclear. To investigate the possibility of a Hispanic mortality advantage, we conducted a systematic review of the published literature comparing short-term KT outcomes (first 12-months) for US Hispanic versus non-Hispanic White KT recipients.

Recent findings
This systematic review summarizes recent findings from sixteen observational retrospective cohort studies that met our study criteria. Study sample sizes ranged from 42 to 244 037 total KT recipients and examined data between 2005 and 2022. Compared to their Non-Hispanic comparator, the Hispanic sub-samples were more likely to be younger, spend more time on dialysis, and less likely to receive preemptive transplant or living donation. Hispanic KT recipients experienced similar or more favorable outcomes in eleven studies (ten studies examining patient and graft survival, one study examining readmissions), but only three studies with statistical significance.

Summary
As the US Hispanic and Latino population continues to grow into the diverse American melting pot, this review highlights the need for better approaches to studying racial and ethnic variables within kidney transplantation.
Examining the feasibility of cognitive bias modification for patients with cancer and survivors in 3 independent pilot studies
Authors: Tenschert Demi D. , Wilbers Joyce , Eichelsheim Patrick , Delbressine Valerie , Schenkel Edwin , Custers José A. E. , Prins Judith B. , van de Wouw Agnes J. , Blijlevens Nicole M. A. , Loonen Jacqueline J. , Tendolkar Indira , Vrijsen Janna N. 
Published: January 2025

Abstract

Objective:
Cancer comes with considerable psychological and emotional distress, which can persist long after initial treatment. Yet, few digital interventions targeting emotional distress are available for patients with cancer and survivors. Cognitive bias modification (CBM) is a digital intervention designed to reduce emotional distress by repeatedly training automatic processing of positive and disease-specific information. We examined the feasibility, safety, and clinical potential of CBM as secondary prevention of psychiatric disorders.

Methods:
Three independent pilot studies were conducted in samples with emotional distress: (i) patients newly diagnosed with hematological cancer at the start of their treatment, (ii) patients with cancer receiving chemotherapy, and (iii) cancer survivors ≥5 years after curative treatment receiving long-term survivorship care. Within each study, patients were randomized to either receive four sessions of computer-based active or control CBM or a nonintervention condition. Self-report measures of emotional distress were administered before, directly after, and one week after the intervention. Intervention feasibility and safety were assessed, as well as the direction of symptom change.

Results:
The intervention was deemed unfeasible in patients newly diagnosed with cancer and patients receiving chemotherapy. In cancer survivors, however, the intervention was well tolerated and possibly clinically relevant. The intervention was considered safe for all three populations.

Conclusions:
CBM can be considered as a possible secondary prevention digital intervention for cancer survivors. The intervention seems inappropriate for patients with cancer receiving treatment, possibly because the treatment phase itself is too impactful. Future research could examine the preventative potential of CBM in a clinical trial in cancer survivors.
The Biomechanical Properties of A Modified Distraction Device Used in Mandibular Distraction Osteogenesis for Craniofacial Microsomia Patients: A Simulation Finite Element Analysis Study
Authors: Liu Anna , Huang Changjin , Liu Wei , Tang Xiaojun 
Published: January 2025

Objective:
Finite element analysis (FEA) of the biomechanical properties of the modified extraoral distractor device used in the mandibular distraction of craniofacial microsomia patients.

Materials and Methods:
Finite element analysis (FEA) models of 5 patients under 2 working conditions, the instance when the distractor is activated and when the distractor participates in mastication, were included in the current study. To conduct the FEA, load boundary conditions (35.6 N on the distractor for the first working condition and 50 N on the unoperated side, 100 N and 200 N on both sides for the second working condition) were applied. Besides, constraint boundary conditions and contact conditions were also applied.

Results:
With 5 or 3 bioabsorbable screws fixing the upper fixing plate, the maximal displacement of the mandible was <3 mm and the maximal stress distributed on distractor and bioabsorbable screws was less than the yield strength of corresponding materials under the 2 working conditions when setting 50 N on the unoperated side and 100 N on both sides for the second working condition. However, when setting 200 N on both sides for the second working condition, the maximal displacement of the mandible slightly increased, and stress distributed on distractor and bioabsorbable screws exceeded the yield strength of corresponding materials in some patients.

Conclusion:
In most cases, both 5 and 3 poly-L-lactic acidscrews could firmly fix the distractor on the mandible without plastic deformation, although the situation would be different when the mastication force was too powerful.
Association of Craniofacial Skeletal and Soft Tissue Characteristics With Severe Obstructive Sleep Apnea in Age-specific and BMI-specific Patient Groups
Authors: Zhang Weikang , Zhang Hehe , Xi Xin , Wu Hao , Jiao Yuanni , Zhang Nan , Han Haiping , Xie Jiang 
Published: January 2025

Purpose:
To identify the key craniofacial anatomic characteristics associated with the prevalence of severe obstructive sleep apnea (OSA) in patient cohorts stratified by age and body mass index (BMI).

Methods:
This prospective study was conducted at the Beijing Anzhen Hospital Center for Sleep Medicine and Science between December 2023 and March 2024. Patients suspected of having OSA underwent overnight polysomnography, along with computed tomography scans of the head and neck, to evaluate the skeletal and soft tissue characteristics. Multivariable analysis was conducted to explore the independent risk factors associated with the prevalence of severe OSA (apnea hypopnea index ≥30 events/h) after adjusting for age, sex, BMI, and neck circumference.

Results:
Among the 118 participants, 75 (63.6%) were diagnosed with severe OSA. Skeletal variables, such as vertical airway length, and soft tissue-related variables, like soft palate length, were independently correlated with the prevalence of severe OSA. Furthermore, subgroup analysis revealed that all skeletal variables and a few soft tissue parameters were associated with severe OSA in patients aged older than 40 years, whereas only a specific soft tissue variable was independently associated with the occurrence of severe OSA in those aged younger than or equal to 40 years. In addition, certain soft tissue-related variables were notably associated with severe OSA in obese patients (BMI >28 kg/m2), whereas only specific skeletal variables were acted independent risk factors for severe OSA in non-obese patients (BMI ≤28 kg/m2).

Conclusion:
Craniofacial skeletal and soft tissue features play essential roles in the prevalence of severe OSA, with variations observed based on age and BMI.
Machine Learning for Predicting Primary Graft Dysfunction After Lung Transplantation: An Interpretable Model Study
Authors: Xia Wei , Liu Weici , He Zhao , Song Chenghu , Liu Jiwei , Chen Ruo , Chen Jingyu , Wang Xiaokun , Xu Hongyang , Mao Wenjun 
Published: January 2025

Background.
Primary graft dysfunction (PGD) develops within 72 h after lung transplantation (Lung Tx) and greatly influences patients’ prognosis. This study aimed to establish an accurate machine learning (ML) model for predicting grade 3 PGD (PGD3) after Lung Tx.

Methods.
This retrospective study incorporated 802 patients receiving Lung Tx between July 2018 and October 2023 (640 in the derivation cohort and 162 in the external validation cohort), and 640 patients were randomly assigned to training and internal validation cohorts in a 7:3 ratio. Independent risk factors for PGD3 were determined by integrating the univariate logistic regression and least absolute shrinkage and selection operator regression analyses. Subsequently, 9 ML models were used to construct prediction models for PGD3 based on selected variables. Their prediction performances were further evaluated. Besides, model stratification performance was assessed with 3 posttransplant metrics. Finally, the SHapley Additive exPlanations algorithm was used to understand the predictive importance of selected variables.

Results.
We identified 9 independent clinical risk factors as selected variables. Among 9 ML models, the random forest (RF) model displayed optimal performance (area under the curve [AUC] = 0.9415, sensitivity [Se] = 0.8972, specificity [Sp] = 0.8795 in the training cohort; AUC = 0.7975, Se = 0.7520, Sp = 0.7313 in the internal validation cohort; and AUC = 0.8214, Se = 0.8235, Sp = 0.6667 in the external validation cohort). Further assessments on calibration and clinical usefulness indicated the promising applicability of the RF model in PGD3 prediction. Meanwhile, the RF model also performed best in terms of risk stratification for postoperative support (extracorporeal membrane oxygenation time: P < 0.001, mechanical ventilation time: P = 0.006, intensive care unit time: P < 0.001).

Conclusions.
The RF model had the optimal performance in PGD3 prediction and postoperative risk stratification for patients after Lung Tx.
Germinal Center B Cells are Uniquely Targeted by Antibody-Suppressor CXCR5+CD8+ T Cells
Authors: Zimmerer Jason M. , Chaudhari Sachi , Koneru Kavya , Han Jing L. , Abdel-Rasoul Mahmoud , Uwase Hope , Yi Tai , Breuer Christopher K. , Bumgardner Ginny L. 
Published: January 2025

Background.
Alloprimed antibody-suppressor CXCR5+CD8+ T cells (CD8+ TAb-supp cells) downregulate alloantibody production, mediate cytotoxicity of IgG+ B cells, and prolong allograft survival. The purpose of this investigation was to determine which immune-cell subsets are susceptible to CD8+ TAb-supp cell–mediated cytotoxicity or noncytotoxic suppression.

Methods.
Alloprimed immune-cell subsets were evaluated for susceptibility to CD8+ TAb-supp cell–mediated in vitro cytotoxicity and/or suppression of intracellular cytokine expression. In vivo CD8-mediated cytotoxicity to wild-type germinal center (GC) B cells or wild-type CD4+ T follicular helper cells (TFH cells) was assessed in RAG1 knockout mice. The impact of in vivo adoptive transfer of CD8+ TAb-supp cells into hepatocyte or kidney transplant recipients on the quantity of lymphoid immune-cell subsets was assessed.

Results.
CD8+ TAb-supp cells mediated allospecific cytotoxicity to alloprimed GC B cells but not alloprimed extrafollicular plasmablasts, marginal zone B cells, follicular B cells, or plasma cells. CD8+ TAb-supp cells did not mediate cytotoxicity to alloprimed dendritic cells, macrophages, CD4+ TFH cells, CD4+ T follicular regulatory cells, or CD4+ regulatory T cell. CD8+ TAb-supp cells did not suppress CD4+ TFH cell, T follicular regulatory cell, or regulatory T-cell cytokine expression. Adoptive transfer of CD8+ TAb-supp cells into hepatocyte or kidney transplant recipients reduced alloantibody production and the quantity of GC B cells, TFH cells, and plasma cells (but not other B-cell, T-cell, or antigen-presenting cell subsets). The reduction of TFH-cell quantity was dependent on CD8+ TAb-supp cell–mediated major histocompatibility complex-I-dependent cytotoxic killing of GC B cells.

Conclusions.
The primary targets of CD8+ TAb-supp cells are GC B cells with downstream reduction of TFH and plasma cells.
Reconstructing whole-brain structure and dynamics using imaging data and personalized modeling
Authors: Fabbrizzi M. , Amato L.G. , Martinelli L. , Carpaneto J. , Bartolini E. , Calderoni S. , Retico A. , Vergani A. A. , Mazzoni A. 
Published: January 2025

AbstractBrain structure plays a pivotal role in shaping neural dynamics. Current models lack the anatomical and functional resolution needed to accurately capture both structural and dynamical features of the human brain. Here, we introduce the FEDE (high FidElity Digital brain modEl) pipeline, generating anatomically accurate brain digital twins from imaging data. Using advanced techniques of anatomical tissue segmentation and finite-element analysis, FEDE reconstructs brain structure with high spatial resolution, while also replicating whole-brain neural activity. We demonstrated its application by creating the first brain digital twin of a toddler with autism spectrum disorder (ASD). Through parameter optimization, FEDE replicated both time-frequency and spatial features of recorded neural activity. Notably, FEDE predicted patient-specific aberrant values of excitation to inhibition ratio, coherently with ASD pathophysiology. FEDE represents a significant leap forward in brain modeling, paving the way for more effective applications of digital twin in experimental and clinical settings.
ATR and PKMYT1 inhibition re-sensitize a subset of TNBC patient-derived models to carboplatin inducing mitotic catastrophe
Authors: Guay Juliet , Kuasne Hellen , Chabot Catherine , Bozek Kathryn , Majedi Yasamin , Buchanan Marguerite , Aguilar-Mahecha Adriana , Bareke Eric , Kong Tim , Yang Kangning , Elebute Oluwadara , Guo Ruining , Monast Anie , Morin Geneviève , Huang Sidong , Park Morag , Basik Mark 
Published: January 2025

ABSTRACTTriple negative breast cancer (TNBC) is associated with poor prognosis and is mainly treated with chemotherapy-based regimens, often including carboplatin. Resistance to carboplatin is a common clinical issue that is either initially present or develops with treatment. Overcoming this resistance is a significant clinical challenge, which highlights the need for novel therapeutic strategies. We used a pooled shRNA screening approach with a chemoresistant TNBC patient-derived xenograft (PDX) cell (PDXC) line to identify targets whose knockdown would enhance the efficacy of carboplatin. This screening led to the identification of the ATR (ataxia telangiectasia and Rad3-related) gene as a key therapeutic vulnerability. Inhibiting ATR with BAY1895344 or AZD6738 re-sensitized carboplatin-resistant PDXCs and PDXs to carboplatin, resulting in an increase in DNA damage, and apoptosis. ATR inhibition disrupts the dependence of carboplatin-resistant cells on the S and G2/M checkpoints for DNA repair, leading to mitotic catastrophe. We further found that the addition of ATR inhibitors to carboplatin reversed a FOXM1-targeted gene program enabling premature passage into mitosis. Moreover, targeting PKMYT1, a regulator of cyclin-dependent kinase 1 (CDK1) controlling the G2/M checkpoint, through knockdown or with the novel PKMYT1 inhibitor RP-6306, also enhanced carboplatin efficacy in our TNBC PDXC. Molecular factors associated with response to the ATR inhibitor/carboplatin combination included low RNA levels of PKMYT1. These results underscore the pivotal roles of ATR and PKMYT1 in mediating resistance to carboplatin in TNBC and support targeting these pathways to overcome carboplatin resistance in this disease.
Silica-mediated exacerbation of inflammatory arthritis: A novel murine model
Authors: Janssen Lisa M.F. , de Ocampo Caroline , Kono Dwight H. , Ronsmans Steven , Ghosh Manosij , Hoet Peter H.M. , Pollard K. Michael , Mayeux Jessica M. 
Published: January 2025

AbstractObjectiveThe mucosal origin hypothesis in rheumatoid arthritis (RA) posits that inhalant exposures, such as cigarette smoke and crystalline silica (c-silica), trigger immune responses contributing to disease onset. Despite the established risk posed by these exposures, the mechanistic link between inhalants, lung inflammation, and inflammatory arthritis remains poorly understood, partly from the lack of a suitable experimental model. As c-silica accelerates autoimmune phenotypes in lupus models and is a recognized risk factor for several autoimmune diseases, we investigated whether c-silica exposure could induce RA-like inflammatory arthritis in mice.MethodsTwo arthritis-prone mouse strains, BXD2/TyJ and HLA-DR4 transgenic (DR4-Tg), were exposed to c-silica or PBS via oropharyngeal instillation. Arthritis was evaluated by clinical signs and histopathology. Autoimmunity was further evaluated by serological analysis, including autoantibodies and cytokines and chemokines. Lung pathology was evaluated by histopathology and immunofluorescent staining for lymphocyte and macrophages.ResultsC-silica exposure induced chronic pulmonary silicosis in all mice. In BXD2 mice, this was associated with rapid arthritis development, marked by synovitis, bone erosion, and elevated serum autoantibody levels targeting various antigens, including snRNP and citrullinated protein. Additionally, BXD2 mice exhibited inducible bronchus-associated lymphoid tissue (iBALT) formation and elevated autoantibodies in bronchoalveolar lavage fluid (BALF). Conversely, DR4-Tg mice had no significant arthritis, negligible autoantibody responses, and milder lung inflammation lacking iBALT.ConclusionWe introduce a novel model of c-silica-mediated inflammatory arthritis, creating a novel platform to unravel the molecular and cellular underpinnings of RA and advance understanding of the mucosal origin hypothesis.Graphical abstract
Predicting Personalised Therapeutic Combinations in Non-Small Cell Lung Cancer UsingIn SilicoModelling
Authors: Clarke Matthew A. , Barker Charlie George , Nicholls Ashley , Handler Matt P. , Pickard Lisa , Shah Amna , Walter David , Braekeleer Etienne De , Banerji Udai , Choudhary Jyoti , Ahmed Saif , McDermott Ultan , Hannon Gregory J. , Fisher Jasmin 
Published: January 2025

AbstractThe disease burden from non-small cell lung cancer (NSCLC) adenocarcinoma is substantial, with around a million new cases diagnosed globally each year, and a 5-year survival rate of less than 20%. A lack of therapeutic options personalized to individual patient genetics, and the targeted therapies that exist quickly succumbing to resistance, leads to high variation in survival. Patient stratification combined with greater personalisation of therapies have the potential to improve outcomes, however, the wide variation in mutations found in NSCLC adenocarcinoma patients mean that experimentally determining suitable treatment combinations is time-consuming and expensive. Here we present anin silicomodel encompassing tumour intrinsic key oncogenic signalling pathways, including EGFR, AKT, JAK/STAT and WNT for efficiently predicting rational drug-drug and drug-radiotherapy combination therapies in NSCLC. Using this model, we simulate diverse genetic profiles and test over 10,000 therapeutic strategies to identify optimal strategies to overcome resistance mechanisms specific to genetic profiles and p53 status. Ourin silicomodel reproduces drug additivity experiments, predicts radio-sensitising genes validated in a CRISPR screen and identifies 53BP1 as a potential drug target that improves the therapeutic window during radiotherapy, as well as potential to use ATM inhibitors to overcome p53 loss-of-function driven radiotherapy resistance. We further use thein silicomodel to identify a 19-gene signature to stratify patients most likely to benefit from radiotherapy and validated this using TCGA data. These results further demonstrate the utility ofin silicomechanistic modelling and present a bespoke computational resource for large-scale screening of personalised therapies applied to NSCLC.
From larval stage to adulthood? Habitat type-specific chemical fingerprints of fire salamander larvae might give first indication for adult mate preference
Authors: Schulte Laura , Friedrichs Jeanne , Müller Caroline , Caspers Barbara A. 
Published: January 2025

AbstractAssortative mating can play a major role in the divergence of a population with gene flow. In a fire salamander population near Bonn, Germany, the larvae differ genetically according to the habitat type they are found in, i.e. ponds or streams. Neither sound nor vision are a source for assortative mating in fire salamanders, but it is known that females can discriminate between sexes and habitat types of the males based on chemical cues. The adults share the same terrestrial habitat which leads to the question whether there is a habitat type-specific chemical fingerprint already existing in the larvae that may be used in the adult stage as the base for assortative mating. We took water samples and captured larvae at two ponds and two streams and used polydimethylsiloxane and TD-GC-MS to collect and analyze samples of the environmental background as well as from the surface of the larvae. We found a significantly different composition of chemical features in the environmental back-ground samples. Additionally, we found the larvae to carry habitat type-specific chemical features. These finding allow to speculate that the features on the larval surface may be used
Severe Fe deficiency promotes hypoxia inducible responses inArabidopsis thaliana
Authors: Telara Yuri , Maghrebi Moez , Lavilla Mikel , La Monaca Noemi , Ambrogini Giulia , Sbrana Alessio , Delucchi Sara , Perata Pierdomenico , Vigani Gianpiero , Giuntoli Beatrice 
Published: January 2025

AbstractIn plants, Fe homeostasis and O2metabolism are strictly related, indeed several Fe-requiring enzymes catalyze reactions that also involve oxygen, as a reagent, product, entry or end point of the metabolic pathway in which the enzyme takes part. Oxygen sensing itself relies on Fe-dependent enzymes, the Plant cysteine oxidase (PCO) family of 2-OG independent thiol dioxygenases. PCOs are responsible for the degradation of ERFVII ethylene-responsive factors through a proteasomal N-degron pathway that connects hypoxia-inducible responses to the stabilization of the ERFVII transcription factors. Here, we investigated the interplay between low oxygen and Fe-deficiency stresses inA. thaliana. We used plants expressing a genetically encoded reporter of ERFVII protein stability and measured the expression of anaerobic genes to infer PCO activityin vivo. Our results highlight that Fe deprivation can elicit hypoxia-like responses depending on its severity. To test the involvement the ERFVII factors further, we examined the response of a pentupleerfVIImutant to Fe-deficiency stress, individually or combined with low oxygen. Our data indicate that the ERFVIIs might take part to the acclimation to chronic Fe deficiency by acting as positive regulators of starvation-responsive genes. Moreover, our results suggest that the ERFVIIs fine-tune nutrient mobilization to the shoots of submerged plants growing on moderately Fe-deficient substrates. This work expands the known functions of the ERFVII factors and provides new information to understand plant responses to combined environmental stresses.