bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent updates of centromere proteins in hepatocellular carcinoma: a review
Authors: Yang Zhongyuan , Chen Wenjiao , Liu Yunhui , Niu Yuxin 
Published: February 2025

Abstract
Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death worldwide, with approximately 800,000 deaths worldwide each year. Owing to the atypical early symptoms and characteristics of HCC, over 80% of HCC patients cannot receive curative treatment. The treatment of HCC is facing a bottleneck, and new treatment methods are urgently needed. Since the pathogenesis of HCC is not yet clear, identifying the molecular mechanisms and therapeutic targets related to it is crucial. Centromeres are considered special deoxyribonucleic acid (DNA) sequences with highly repetitive sequences that are physically connected to the spindle during cell division, ensuring equal division of genetic material between daughter cells. The numerous proteins that aggregate on this sequence during cell division are called centromere proteins (CENPs). Currently, numerous studies have shown that CENPs are abnormally expressed in tumor cells and are associated with patient prognosis. The abnormal expression of CENPs is a key cause of chromosomal instability. Furthermore, chromosomal instability is a common characteristic of the majority of tumors. Chromosomal instability can lead to uncontrolled and sustained division and proliferation of malignant tumors. Therapeutic plans targeting CENPs play important roles in the treatment of HCC. For example, small ribonucleic acid (RNA) can silence CENP expression and prevent the occurrence and development of liver cancer. In recent years, studies of HCC-targeting CENPs have gradually increased but are still relatively novel, requiring further systematic elaboration. In this review, we provide a detailed introduction to the characteristics of CENPs and discuss their roles in HCC. In addition, we discuss their application prospects in future clinical practice.
Multiparameter body composition analysis on chest CT predicts clinical outcomes in resectable non-small cell lung cancer
Authors: Huang Yilong , Cun Hanxue , Mou Zhanglin , Yu Zhonghang , Du Chunmei , Luo Lan , Jiang Yuanming , Zhu Yancui , Zhang Zhenguang , Chen Xin , He Bo , Liu Zaiyi 
Published: February 2025

Abstract

Objectives
This study investigates the association between baseline CT body composition parameters and clinical outcomes in patients with resectable non-small cell lung cancer (NSCLC).

Methods
Patients who underwent surgical resection for NSCLC between January 2006 and December 2017 were retrospectively enrolled in this multicenter study. Body composition metrics, including the area of skeletal muscle, intermuscular adipose tissue, subcutaneous adipose tissue, visceral adipose tissue, muscle radiodensity, and derivative parameters from five basic metrics mentioned before, were calculated based on preoperative non-contrast-enhanced chest CT images at L1 level. The Cox proportional hazards regression analysis was used to evaluate the association between body composition metrics and survival outcomes including overall survival (OS) and disease-free survival (DFS).

Results
A total of 2712 patients (mean age, 61.53 years; 1146 females) were evaluated. A total of 635 patients (23.41%) died. 465 patients (19.51%) experienced recurrence and/or distant metastasis. After multivariable adjustment, skeletal muscle index (SMI, HR = 0.86), intermuscular adipose index (IMAI, HR = 1.49), and subcutaneous adipose index (SAI, HR = 0.96) were associated with OS. Similar results were found after stratification by gender, TNM stage, and center. There was no significant association between all body composition metrics and DFS (all p > 0.05). The body composition metrics significantly enhance the model including clinicopathological factors, resulting in an improved AUC for predicting 1-year and 3-year OS, with AUC values of 0.707 and 0.733, respectively.

Conclusions
SMI, IMAI, and SAI body composition metrics have been identified as independent prognostic factors and may indicate mortality risk for resectable NSCLC patients.

Critical relevance statement
Our findings emphasize the significance of muscle mass, quality, and fat energy storage in clinical decision-making for patients with non-small cell lung cancer (NSCLC). Nutritional and exercise interventions targeting muscle quality and energy storage could be considered for patients with NSCLC.

Key Points

Multiparameter body composition analysis is associated with the clinical outcome in NSCLC patients.

Assessing muscle mass, quality, and adipose tissue helps predict overall survival in NSCLC.

The quantity and distribution of body composition can contribute to unraveling the adiposity paradox.

Graphical Abstract
Rheological investigations and swelling behavior of gum ghatti-cl-poly(acrylic acid) hydrogel reinforced with graphene oxide
Authors: Dave Pragnesh N. , Macwan Pradip M. , Kamaliya Bhagvan , Kumar Arvind 
Published: February 2025

Abstract
The primary aim of this study is to examine the rheological attributes of graphene oxide (GO)-reinforced gum ghatti-cl-poly(AA)/GO (GGAAGO) hydrogels, with the intent of improving their mechanical and thermal properties. Thermal gravimetric analysis (TGA) was employed to assess the thermal stability of the synthesized hydrogels, revealing the interaction between GO, gum ghatti, and acrylic acid. This investigation centers on the swelling behavior and rheological assessments of the hydrogels. Various experiments were conducted on nanocomposite particle gels to scrutinize the impact of graphene oxide (GO) microparticle concentration (ranging from 0 to 5 mg) on network topology, swelling, and mechanical characteristics of the gels. The rheological analysis also indicates a reduction in viscosity.
Furthermore, the rheological examination of hydrogels indicates that the storage modulus (G′) consistently surpasses the loss modulus (G″) within the linear viscoelastic zone across the entire frequency spectrum. This dominance of the storage modulus over the loss modulus suggests continuous covalent crosslinking, accounting for the solid-like and elastic nature (G′ > G″) of the hydrogels. All rheological parameters highlight commendable mechanical properties, rendering the composite hydrogel suitable for applications such as drug administration and various environmental uses.
Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI
Authors: Wald Tassilo , Hamm Benjamin , Holzschuh Julius C. , El Shafie Rami , Kudak Andreas , Kovacs Balint , Pflüger Irada , von Nettelbladt Bastian , Ulrich Constantin , Baumgartner Michael Anton , Vollmuth Philipp , Debus Jürgen , Maier-Hein Klaus H. , Welzel Thomas 
Published: February 2025

Abstract

Background
Gadolinium-enhanced “sampling perfection with application-optimized contrasts using different flip angle evolution” (SPACE) sequence allows better visualization of brain metastases (BMs) compared to “magnetization-prepared rapid acquisition gradient echo” (MPRAGE). We hypothesize that this better conspicuity leads to high-quality annotation (HAQ), enhancing deep learning (DL) algorithm detection of BMs on MPRAGE images.

Methods
Retrospective contrast-enhanced (gadobutrol 0.1 mmol/kg) SPACE and MPRAGE data of 157 patients with BM were used, either annotated on MPRAGE resulting in normal annotation quality (NAQ) or on coregistered SPACE resulting in HAQ. Multiple DL methods were developed with NAQ or HAQ using either SPACE or MRPAGE images and evaluated on their detection performance using positive predictive value (PPV), sensitivity, and F1 score and on their delineation performance using volumetric Dice similarity coefficient, PPV, and sensitivity on one internal and four additional test datasets (660 patients).

Results
The SPACE-HAQ model reached 0.978 PPV, 0.882 sensitivity, and 0.916 F1-score. The MPRAGE-HAQ reached 0.867, 0.839, and 0.840, the MPRAGE NAQ 0.964, 0.667, and 0.798, respectively (p ≥ 0.157). Relative to MPRAGE-NAQ, the MPRAGE-HAQ F1-score detection increased on all additional test datasets by 2.5–9.6 points (p < 0.016) and sensitivity improved on three datasets by 4.6–8.5 points (p < 0.001). Moreover, volumetric instance sensitivity improved by 3.6–7.6 points (p < 0.001).

Conclusion
HAQ improves DL methods without specialized imaging during application time. HAQ alone achieves about 40% of the performance improvements seen with SPACE images as input, allowing for fast and accurate, fully automated detection of small (< 1 cm) BMs.

Relevance statement
Training with higher-quality annotations, created using the SPACE sequence, improves the detection and delineation sensitivity of DL methods for the detection of brain metastases (BMs)on MPRAGE images. This MRI cross-technique transfer learning is a promising way to increase diagnostic performance.

Key Points

Delineating small BMs on SPACE MRI sequence results in higher quality annotations than on MPRAGE sequence due to enhanced conspicuity.

Leveraging cross-technique ground truth annotations during training improved the accuracy of DL models in detecting and segmenting BMs.

Cross-technique annotation may enhance DL models by integrating benefits from specialized, time-intensive MRI sequences while not relying on them.

Further validation in prospective studies is needed.

Graphical Abstract
Zadania Polskiej Agencji Antydopingowej
Authors: Zawada Michał 
Published: February 2025

Zgodnie z ustawą z dnia 21 kwietnia 2017 r. o zwalczaniu dopingu w sporcie utworzono Polską Agencję Antydopingową (w skrócie POLADA), aby przede wszystkim przeciwdziałała stosowaniu dopingu przez polskich sportowców. W artykule zostały przedstawione, na podstawie wspomnianej ustawy i innych aktów prawnych oraz literatury, cele funkcjonowania Agencji, a także jej zadania przypisane w ustawie oraz zakres działania. Stanowiło to jednocześnie cel niniejszej pracy. Oprócz tego podjęta została próba uzyskania odpowiedzi na pytanie: czy obowiązujące regulacje pozwalają na skuteczne wykrywanie i przeciwdziałanie dopingowi w sporcie wyczynowym oraz czy działania Polskiej Agencji Antydopingowej są w tym zakresie wystarczające? Na koniec zostaną również porównane rozwiązania prawne dotyczące organizacji podmiotów zwalczających doping w sporcie w innych krajach z polskim systemem prawnym. Zastosowano w opracowaniu metodę dogmatyczno-prawną oraz prawnoporównawczą.
Melatonin alleviates senile osteoporosis by regulating autophagy and enhancing fracture healing in aged mice
Authors: Zhang Denghui , Zhu Tianer , Bai Jingyao , Chen Chunchun , Wen Junru , Zhou Yi , Guan Xiaoxu 
Published: February 2025

AimsIn our previous research, we have found that melatonin (MEL) affects the osteoporotic process. By balancing bone remoulding, autophagy is involved in age-related bone loss. However, as a regulator of autophagy, whether MEL influences senile osteoporosis via regulating autophagy remains unclear.MethodsCellular, radiological, and histopathological evaluations were performed on 36 16-month-old male C57BL6/L mice or aged bone marrow-derived mesenchymal stem cells. A MEL-gelatin methacrylamide system was constructed to aid osteoporotic fracture healing.ResultsIn this study, we found that bone loss, low level of MEL, and decreased autophagy coexisted in aged C57BL6/L mice. A physiological (low, 10 nM but not 100 nM) concentration of MEL restored bone loss, transformed the cytokine framework, and increased the autophagic level in aged mice, whereas inhibition of autophagy unfavourably reduced the positive effects of MEL on bone mass. The autophagy-conducted increased osteogenic lineage commitment and extracellular matrix mineralization, but not matrix synthesis of aged bone marrow-derived mesenchymal stem cells, was responsible for MEL anabolic effects on bone. PIK3C-AKT-MTOR signal was tested to be a main pathway that is involved in MEL-induced autophagy.ConclusionOur data suggest that the application of MEL can restore degenerative osteogenesis of aged bone marrow-derived mesenchymal stem cells, and has the potential to regain bone mass in aged mice through activating autophagy via the PIK3C-AKT-MTOR pathway. MEL therefore may serve as a potential clinical therapy to treat senile osteoporosis.Cite this article: Bone Joint Res 2025;14(2):97–110.
The Food Resources and Kitchen Skills intervention: Protocol of a randomized controlled trial
Authors: Peña Armando , Dawkins Emily , Adams Mariah , Moser Lyndsi R. , Carter Amy , Rivera Rebecca L. , Reinoso Deanna , Tu Wanzhu , Holden Richard J. , Clark Daniel O. 
Published: February 2025

Introduction
Individuals with food insecurity are disproportionately burdened by hypertension (HTN) and type 2 diabetes and face greater barriers to self-managing these conditions.

Methods
Food Resources and Kitchen Skills (FoRKS) is an ongoing 2-arm parallel randomized controlled trial (RCT) that will enroll 200 adults (35–75 y) with food insecurity and elevated systolic blood pressure (≥120 mmHg) at a large federally qualified health center (FQHC) network in Central Indiana. Blood pressure is measured using an ambulatory blood pressure monitoring (ABPM) device. The (FoRKS, N = 100) intervention integrates hypertension self-management education and support (SMES) with a home-delivered ingredient kit and cooking skills program (16 weeks). Enhanced Usual Care (EUC, N = 100) includes usual care services by the FQHC network, SMES classes (separate from FoRKS), and grocery assistance. This paper describes the protocol for this RCT that will: 1) test the efficacy of FoRKS compared to EUC for reducing systolic blood pressure using an intention to treat protocol, 2) identify behavior change levers (e.g., engagement, social support) and their associations with change in food insecurity, diet quality, and systolic blood pressure, 3) examine the maintenance of outcomes, and 4) assess cost-effectiveness.

Conclusions
Establishing that a food insecurity and SMES intervention, compared to usual care services, is feasible in FQHCs and efficacious for improving blood pressure and related outcomes would have important public health implications. Understanding the behavior change levers of FoRKS that are associated with changes in health outcomes, whether these outcomes are maintained, and its cost-effectiveness will inform future efforts to address health disparities.
Cost-effectiveness of Transcendental Meditation (TM) for treating Post-Traumatic Stress Disorder (PTSD)
Authors: Groessl Erik J. , Rutledge Thomas R. 
Published: February 2025

Objective
A recent trial found that Transcendental Meditation (TM) was an effective non-trauma focused treatment for veterans with Post-Traumatic Stress Disorder (PTSD). The objective of this analysis was to examine the cost-effectiveness of TM for PTSD based on the trial results.

Methods
Between 2013–2017, 203 veterans with PTSD were randomized to either TM, Prolonged Exposure (PE), or to a PTSD health education (HE) control. Each group received 12 treatment sessions over 12 weeks. Results indicated that TM was non-inferior to PE for improving PTSD outcomes and both TM and PE were superior to HE, as hypothesized. The proportion of participants with a clinically significant improvement on the CAPS (≥10 point reduction) were TM = 61%, PE = 42%, and HE = 32%. A Markov model was developed to estimate the cost-effectiveness of TM, using the trial effectiveness data. Intervention costs, health care costs, and health utility values associated with response and non-response were derived from scientific literature. Costs were viewed from an organizational perspective and a 5-year time horizon (20 3-month cycles). One-way and probabilistic sensitivity analyses were conducted.

Results
TM was the dominant treatment strategy over both PE and HE in the cost-effectiveness analysis. TM cost an estimated $1504/12 sessions while PE and HE cost $2,822 and $492, respectively. The higher health care costs associated with non-response to therapy offset intervention cost differences. Findings were robust to variability.

Conclusion
In summary, using data from a recent RCT, TM was found to both improve health outcomes and reduce total costs in this analysis. Based on these results, further effectiveness trials and wider adoption of TM should be considered.
Acceptability and feasibility of pre-exposure prophylaxis for bacterial STIs: a systematic review
Authors: Carroll Julie-Anne , Mullens Amy B. , Warzywoda Sarah , Baker Philip R.A. , Stafford Meika , McMillan Faye , Manton Jacintha , Demant Daniel 
Published: February 2025

Background
A recent resurgence of bacterial sexually transmitted infections (STIs) is placing a major burden on high-risk populations, physicians, and the healthcare system. Treatment in the form of antibiotic pre-exposure prophylaxis (STI PrEP) is a potential solution. However, little is known about the acceptability and feasibility of this approach in high-risk populations.

Methods
A comprehensive search strategy was developed and executed in October 2024 across six databases adhering to PRISMA guidelines.

Results
Eight studies met the inclusion criteria. These studies were all conducted in high-income countries, used various methods, and all focussed on sexual minority men. Findings consistently identified moderate to high levels of acceptability among GBMSM (54.3% - 67.5%). Factors such as engagement in perceived ‘high risk’ sexual encounters, and past diagnosis of STIs strengthened acceptability, while others (e.g., antimicrobial resistance concerns and stigma) act as barriers. Only one study included the perspectives of healthcare workers, indicating a moderate willingness to prescribe, which would increase under governing-body endorsement.

Discussion
Overall, while there is some promise of STI PrEP acceptability among GBMSM, vast gaps in knowledge remain. Knowledge transfer and feasibility and, hence, the sustainability and capacity needed for the success of STI PrEP is yet to be examined and understood. However, for STI PrEP to be successfully adopted, it is essential not only to assess its acceptability and feasibility but also to focus on knowledge transfer. Knowledge transfer is a dynamic and iterative process, involving the synthesis, dissemination, exchange, and application of knowledge in an ethically sound manner. This process supports the improvement of health outcomes, strengthens healthcare systems, and ensures that healthcare interventions, such as STI PrEP, are effectively understood and implemented by both healthcare providers and at-risk populations. Similarly, the perspectives of populations beyond GBMSM have been omitted, and there is little understanding of the impact of their differing socio-cultural contexts around sex-related behaviour and Western pharmaceutical healthcare interventions on their acceptance and uptake.

Conclusion
Further research into acceptability, feasibility and knowledge transfer among diverse high-risk groups, healthcare professionals, and policymakers is necessary to create a strong foundation for implementing STI PrEP.
Drug-induced autoimmune-like hepatitis: A disproportionality analysis based on the FAERS database
Authors: Ye Wangyu , Ding Yuan , Li Meng , Tian Zhihua , Wang Shaoli , Liu Zhen 
Published: February 2025

Background
Drug-induced autoimmune-like hepatitis (DI-ALH) is a potentially life-threatening condition that can lead to acute liver failure and necessitate liver transplantation. While the association between certain drugs and DI-ALH has been documented, a comprehensive analysis of drug-related signals in a large, real-world pharmacovigilance database is lacking. This study aimed to systematically identify drugs linked to DI-ALH by analyzing adverse event reports from the U.S. Food and Drug Administration’s (FDA) Adverse Event Reporting System (FAERS) database.

Methods
We searched the FAERS database for the term "autoimmune hepatitis" and extracted DI-ALH reports from the first quarter of 2004 to the first quarter of 2024. Positive signal drugs were identified using Proportional Reporting Ratio (PRR), Reporting Odds Ratio (ROR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM). To confirm a significant drug-adverse event association, each method had to meet predefined thresholds: for PRR and ROR, values were considered significant if the lower 95% confidence interval (CI) was greater than 1 and at least three reports were identified; for BCPNN, an Information Component (IC025) greater than 0 indicated a signal; for EBGM, a value greater than 2 for the lower 95% confidence interval (EBGM05) was used to denote a positive signal.

Results
A total of 5,723 DI-ALH reports were extracted from the FAERS database. Disproportionality analysis identified 50 drugs with strong associations to DI-ALH, with biologics, statins, antibiotics, and antiviral drugs representing the most common categories. Among these, nitrofurantoin (ROR 94.79, CI 78.53–114.41), minocycline (ROR 77.82, CI 65.09–93.05), and nivolumab (ROR 47.12, CI 15.06–147.39) exhibited the strongest signals. Additionally, several previously unreported drugs, including mesalazine, aldesleukin, onasemnogene abeparvovec-xioi, and nefazodone, were identified as having strong associations with DI-ALH. These findings were consistent across all four signal detection methods, further validating the robustness of the associations.

Conclusion
This study provides a comprehensive assessment of drugs associated with DI-ALH through a rigorous analysis of the FAERS database using multiple signal detection methods. By identifying both well-known and previously underreported drugs, this study contributes to a more complete understanding of drug-induced liver injury. The findings have important implications for pharmacovigilance strategies and clinical risk assessment. However, limitations inherent in the FAERS database, such as underreporting and the potential for reporting bias, should be considered. Further clinical validation is warranted to confirm these associations.