bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dysfunctional astrocyte glutamate uptake in the hypothalamic paraventricular nucleus contributes to visceral pain and anxiety‐like behavior in mice with chronic pancreatitis
Authors: Luo Rong , Hu Xiaojun , Li Xin , Lei Fan , Liao Ping , Yi Limei , Zhang Xia , Zhou Bin , Jiang Ruotian 
Published: July 2024

AbstractAbdominal visceral pain is a predominant symptom in patients with chronic pancreatitis (CP); however, the underlying mechanism of pain in CP remains elusive. We hypothesized that astrocytes in the hypothalamic paraventricular nucleus (PVH) contribute to CP pain pathogenesis. A mouse model of CP was established by repeated intraperitoneal administration of caerulein to induce abdominal visceral pain. Abdominal mechanical stimulation, open field and elevated plus maze tests were performed to assess visceral pain and anxiety‐like behavior. Fiber photometry, brain slice Ca2+ imaging, electrophysiology, and immunohistochemistry were used to investigate the underlying mechanisms. Mice with CP displayed long‐term abdominal mechanical allodynia and comorbid anxiety, which was accompanied by astrocyte glial fibrillary acidic protein reactivity, elevated Ca2+ signaling, and astroglial glutamate transporter‐1 (GLT‐1) deficits in the PVH. Specifically, reducing astrocyte Ca2+ signaling in the PVH via chemogenetics significantly rescued GLT‐1 deficits and alleviated mechanical allodynia and anxiety in mice with CP. Furthermore, we found that GLT‐1 deficits directly contributed to the hyperexcitability of VGLUT2PVH neurons in mice with CP, and that pharmacological activation of GLT‐1 alleviated the hyperexcitability of VGLUT2PVH neurons, abdominal visceral pain, and anxiety in these mice. Taken together, our data suggest that dysfunctional astrocyte glutamate uptake in the PVH contributes to visceral pain and anxiety in mice with CP, highlighting GLT‐1 as a potential therapeutic target for chronic pain in patients experiencing CP.
Within‐person biological mechanisms of mood variability in childhood and adolescence
Authors: Toenders Yara J. , de Moor Marleen H. M. , van der Cruijsen Renske , Green Kayla , Achterberg Michelle , Crone Eveline A. 
Published: July 2024

AbstractMood variability, the day‐to‐day fluctuation in mood, differs between individuals and develops during adolescence. Because adolescents show higher mood variability and average mood than children and adults, puberty might be a potential biological mechanism underlying this increase. The goal of this preregistered developmental study was to examine the neural and hormonal underpinnings of adolescent‐specific within‐person changes in mood variability, with a specific focus on testosterone, cortisol, pubertal status, and resting‐state functional brain connectivity. Data from two longitudinal cohorts were used: the L‐CID twin study (aged 7–13, N at the first timepoint = 258) and the accelerated Leiden Self‐Concept study (SC; aged 11–21, N at the first timepoint = 138). In both studies resting‐state functional magnetic resonance imaging (rs‐fMRI) data was collected, as well as daily mood. Additionally, in the SC study self‐reported puberty testosterone and cortisol were collected. Random intercept cross‐lagged panel models (RI‐CLPM) were used to study the within‐person relations between these biological measures and mood variability and average mood. Mood variability and average mood peaked in adolescence and testosterone levels and self‐reported puberty also showed an increase. Connectivity between prefrontal cortex (dlPFC and vmPFC) and subcortical regions (caudate, amygdala) decreased across development. Moreover, higher testosterone predicted average negative mood at the next time point, but not vice versa. Further, stronger vmPFC–amygdala functional connectivity predicted decreases in mood variability. Here, we show that brain connectivity during development is an important within‐person biological mechanism of the development of mood in adolescents.Practitioner Points
Mood variability peaks in adolescence.
Within‐person changes in testosterone predict within‐person changes in mood.
Within‐person changes in vmPFC–amygdala connectivity predict within‐person changes in mood variability.
Frontoparietal and salience network synchronizations during nonsymbolic magnitude processing predict brain age and mathematical performance in youth
Authors: Ng Chan‐Tat , Huang Po‐Hsien , Cho Yi‐Cheng , Lee Pei‐Hong , Liu Yi‐Chang , Chang Ting‐Ting 
Published: July 2024

AbstractThe development and refinement of functional brain circuits crucial to human cognition is a continuous process that spans from childhood to adulthood. Research increasingly focuses on mapping these evolving configurations, with the aim to identify markers for functional impairments and atypical development. Among human cognitive systems, nonsymbolic magnitude representations serve as a foundational building block for future success in mathematical learning and achievement for individuals. Using task‐based frontoparietal (FPN) and salience network (SN) features during nonsymbolic magnitude processing alongside machine learning algorithms, we developed a framework to construct brain age prediction models for participants aged 7–30. Our study revealed differential developmental profiles in the synchronization within and between FPN and SN networks. Specifically, we observed a linear increase in FPN connectivity, concomitant with a decline in SN connectivity across the age span. A nonlinear U‐shaped trajectory in the connectivity between the FPN and SN was discerned, revealing reduced FPN‐SN synchronization among adolescents compared to both pediatric and adult cohorts. Leveraging the Gradient Boosting machine learning algorithm and nested fivefold stratified cross‐validation with independent training datasets, we demonstrated that functional connectivity measures of the FPN and SN nodes predict chronological age, with a correlation coefficient of .727 and a mean absolute error of 2.944 between actual and predicted ages. Notably, connectivity within the FPN emerged as the most contributing feature for age prediction. Critically, a more matured brain age estimate is associated with better arithmetic performance. Our findings shed light on the intricate developmental changes occurring in the neural networks supporting magnitude representations. We emphasize brain age estimation as a potent tool for understanding cognitive development and its relationship to mathematical abilities across the critical developmental period of youth.Practitioner Points
This study investigated the prolonged changes in the brain's architecture across childhood, adolescence, and adulthood, with a focus on task‐state frontoparietal and salience networks.
Distinct developmental pathways were identified: frontoparietal synchronization strengthens consistently throughout development, while salience network connectivity diminishes with age. Furthermore, adolescents show a unique dip in connectivity between these networks.
Leveraging advanced machine learning methods, we accurately predicted individuals' ages based on these brain circuits, with a more mature estimated brain age correlating with better math skills.
Outcomes of SMARCB1‐deficient sinonasal carcinoma: Largest single‐center cross‐sectional study
Authors: Woods Robbie , Scholfield Daniel , Axiotakis Lucas , Fitzgerald Conall , Adilbay Dauren , Cracchiolo Jennifer , Patel Snehal , Shah Jatin , Dunn Lara , Pfister David , Lee Nancy , Dogan Snjezana , Ganly Ian , Cohen Marc 
Published: July 2024

AbstractBackgroundWe evaluate outcomes of SMARCB1‐deficient sinonasal carcinomas in the largest single‐institution study.MethodsRetrospective cross‐sectional study of patients with SMARCB1‐deficient sinonasal carcinoma between 1998 and 2024. Disease‐specific survival (DSS) and recurrence‐free probability (RFP) at 1 and 5 years were measured by Kaplan–Meier method.ResultsThere were 47 patients with a median age of 53. Initial pathological diagnosis was altered in 33%. Twelve (34%) patients received neoadjuvant chemotherapy, with one partial response. Curative surgical approach was undertaken in 73%. Definitive chemoradiation was administered in 20%. DSS at 1 and 5 years was 93% and 45%, respectively. RFP at 1 and 5 years was 73% and 33%, respectively. On multivariate analysis, cranial nerve involvement (p = 0.01 for DSS) remained significantly worse for DSS and overall survival.ConclusionsSMARCB1‐deficient tumors had limited response to neoadjuvant chemotherapy. Cranial nerve involvement was associated with worse prognosis. Optimal treatment is unclear. Surgery should be offered to patients with resectable disease.
Preoperative right ventricular strain as an early predictor of perioperative cardiac failure in patients undergoing mitral surgery: An exploratory study
Authors: Russo Alessandro , Bergamini Viola Elisa , Gambaro Alessia , Di Gennaro Gianfranco , Fanti Diego , Devigili Alessandro , Ceola Graziadei Marcello , Brognoli Gabriele , Corubolo Luisa , Rama Jacopo , Zanin Anita , Schweiger Vittorio , Donadello Katia , Polati Enrico , Gottin Leonardo 
Published: July 2024

AbstractObjectivesThis study's primary purpose was to demonstrate the correlation of preoperative right ventricular free‐wall longitudinal strain (RVFWLS) and pre‐/postsurgical variation in strain (delta strain) with the clinical and echocardiographic diagnosis of right ventricular dysfunction. Its secondary purpose was to determine the correlation of RVFWLS and delta strain with length of stay (LOS) in the intensive care unit (ICU), ventilation days, trend of natriuretic peptide test. (NT‐proBNP) and lactate in the first 48 h, incidence of acute renal failure, and 28‐day mortality.DesignProspective observational study.SettingCardio‐thoracic and Vascular Anaesthesia Department and ICU of the University Hospital Integrated Trust of Verona.ParticipantsPatients scheduled for mitral surgery.InterventionsNone.Measurements and Main ResultsAll clinical and transoesophageal echocardiographic (TEE) parameters were collected at baseline, before surgery (T1) and at admission in the ICU postsurgery (T2). During the postoperative period, the clinical and echocardiographic diagnoses of right, left, or biventricular dysfunction were evaluated. TEE parameters were evaluated by a cardiologist offline. The patients were divided into two subgroups according to the development of any type of ventricular dysfunction. No statistically significant differences emerged between the two groups. According to a logistic regression model, a T1‐RVFWLS value of −15% appeared to predict biventricular dysfunction (sensitivity: 100%; specificity: 91.3%). No correlation between T1‐ or T2‐RVFWLS and creatinine, hours of ventilation or ICU LOS was found.ConclusionsOur study introduces a new parameter that could be used in perioperative evaluations to identify patients at risk of postoperative biventricular dysfunction.
FIGO good practice recommendations on optimizing models of care for the prevention and mitigation of preterm birth
Authors: Anumba Dilly , Soma‐Pillay Priya , Bianchi Ana , Valencia González Catalina M. , Jacobbson Bo ,   the FIGO Committee for Preterm Birth
Published: July 2024

AbstractThe global challenge of preterm birth persists with little or no progress being made to reduce its prevalence or mitigate its consequences, especially in low‐resource settings where health systems are less well developed. Improved delivery of respectful person‐centered care employing effective care models delivered by skilled healthcare professionals is essential for addressing these needs. These FIGO good practice recommendations provide an overview of the evidence regarding the effectiveness of the various care models for preventing and managing preterm birth across global contexts. We also highlight that continuity of care within existing, context‐appropriate care models (such as midwifery‐led care and group care), in primary as well as secondary care, is pivotal to delivering high quality care across the pregnancy continuum—prior to conception, through pregnancy and birth, and preparation for a subsequent pregnancy—to improve care to prevent and manage preterm birth.
Comparative proteomics analysis of female fibromyalgia and osteoarthritis using data‐independent acquisition sequential window acquisition of all theoretical mass spectra‐based mass spectrometry
Authors: Kuo Cheng‐Yu , Tang Kuo‐Tung , Wang Wei‐Chen , Zheng Yi‐Feng , Wu Yi‐Ling , Chang Chih‐Jui , Lai Chien‐Chen 
Published: July 2024

AbstractFibromyalgia (FM) is a widespread muscle pain disorder that primarily affects females. Osteoarthritis (OA) is another common chronic condition. This study utilized sequential window acquisition of all theoretical mass spectra (SWATH)‐based proteomic analysis on the urine of patients with FM and OA. The study identified 54 differentially expressed proteins (DEPs) in the FM group compared to the healthy control (HC) group; 17 DEPs in the OA group compared to the HC group; and 47 DEPs in the FM group compared to the OA group, with a p‐value <0.05 and a fold change >1.5 or <0.67. The DEPs in both FM and OA groups were primarily involved in pathways related to coagulation and the complement system, as well as serotonin, dopamine, glutamate pathways, and acute phase reactions. The study suggests that FM and OA induce inflammatory reactions, significantly altering the expression of acute phase proteins and notably decreasing the expression of GNB2. This distinction between health and disease, and the differentiation between FM and OA, is facilitated through the coagulation and complement systems, with SERPING1 and EPCR being key markers. Through these pathways, a better understanding of the impact of FM and OA on the human proteome is achieved.
The accuracy of preoperative implant size prediction achieved by digital templating in total knee arthroplasty is not affected by the quality of lateral knee radiographs
Authors: Pichler Lorenz , Klein Leonhard , Perka Carsten F. , Gwinner Clemens , El Kayali Moses K. D. 
Published: July 2024

AbstractBackgroundDigital templating software can be used for preoperative implant size prediction in total knee arthroplasty (TKA). However, the accuracy of its prediction is reported to be low, and the impact of radiograph quality is unclear.PurposeTo investigate on the application of lateral knee radiograph quality criteria for knee rotation (KR) and knee abduction/adduction (KA) and their impact on the accuracy of final implant size prediction achieved by preoperative digital templating for TKA.MethodsA total of 191 radiographs of patients undergoing TKA were allocated into four groups according to their KR as measured at the posterior femoral condyles and their KA as measured at the distal femoral condyles on lateral knee radiographs: group A (KR ≤ 5 mm, KA ≤ 5 mm), B1 (KR > 5 mm, KA ≤ 5 mm), B2 (KR ≤ 5 mm, KA > 5 mm) and B3 (KR > 5 mm, KA > 5 mm). Preoperative templating of femoral and tibial implant size using digital templating software was carried out by two observers. Correlation coefficients (CCs) between planned and final implant size, percentage of cases with planned to final size match as well as percentage of cases within ±1 and ±2 of planned to final size were reported according to groups.ResultsGroup A showed the highest percentage of cases with matching planned to final femoral implant size (45%) and the highest percentage of cases with ±1 planned to final implant size (86%) as compared to B1 (match 28%, ±1 84%), B2 (match 41%, ±1 84%) and B3 (match 35%, ±1 78%). CCs for planned to final implant size were reported at >0.75 in all groups. No statistically significant difference in the CCs of planned to final implant size amongst groups was found.ConclusionThe accuracy of implant size prediction achieved by preoperative digital templating for TKA is neither affected by KR nor KA on lateral knee radiographs.Level of evidenceLevel III.
Counting rainbow triangles in edge‐colored graphs
Authors: Li Xueliang , Ning Bo , Shi Yongtang , Zhang Shenggui 
Published: July 2024

AbstractLet be an edge‐colored graph on vertices. The minimum color degree of , denoted by , is defined as the minimum number of colors assigned to the edges incident to a vertex in . In 2013, Li proved that an edge‐colored graph on vertices contains a rainbow triangle if . In this paper, we obtain several estimates on the number of rainbow triangles through one given vertex in . As a consequence, we prove counting results for rainbow triangles in edge‐colored graphs. One main theorem states that the number of rainbow triangles in is at least , which is best possible by considering the rainbow ‐partite Turán graph, where its order is divisible by . This means that there are rainbow triangles in if , and rainbow triangles in if when . Both results are tight in the sense of the order of the magnitude. We also prove a counting version of a previous theorem on rainbow triangles under a color neighborhood union condition due to Broersma et al., and an asymptotically tight color degree condition forcing a colored friendship subgraph (i.e., rainbow triangles sharing a common vertex).
Novel pH‐sensitive gellan gum–ε‐polylysine hydrogel microspheres for sulforaphene delivery
Authors: Qu Yang , Li Xiuxia , Chen Xiaoqiao , Li Jianrong , Yu Zhangfu , Shen Ronghu 
Published: July 2024

AbstractBACKGROUNDThis study aimed to improve the stability and utilization of sulforaphene (SFE) and to enhance the intestinal stability and pH‐sensitive release of SFE in the gastrointestinal tract. To achieve this objective, calcium chloride (CaCl2) was used as a crosslinking agent to fabricate novel SFE‐loaded gellan gum (GG)‐ε‐polylysine (ε‐PL) pH‐sensitive hydrogel microspheres by using the ionic crosslinking technique.RESULTSThe molecular docking results of GG, ε‐PL, and SFE were good and occurred in the natural state. The loading efficiency (LE) of all samples was above 70%. According to the structural characterization results, GG and ε‐PL successfully embedded SFE in a three‐dimensional network structure through electrostatic interaction. The swelling characteristics and in vitro release results revealed that the microspheres were pH‐sensitive, and SFE was mainly retained inside the hydrogel microsphere in the stomach, and subsequently released in the intestine. The result of cytotoxicity assay showed that the hydrogel microspheres were non‐toxic and had an inhibitory effect on human colon cancer Caco‐2 cells.CONCLUSIONThus, the hydrogel microspheres could improve SFE stability and utilization and achieve the intestinal targeted delivery of SFE. © 2024 Society of Chemical Industry.
Lignin, extractives and structural carbohydrate characteristics of Thinopyrum intermedium biomass reveal additional valorization opportunities for dual‐crop utilization
Authors: Dräger Hannah , Mobley Justin , Kamali Poorya , Dorrani Masoumeh , Lynn Bert , DeHaan Lee , Schendel Rachel R. 
Published: July 2024

AbstractBACKGROUNDThinopyrum intermedium (Host) Barkworth & D.R. Dewey, or intermediate wheat grass (IWG), is being developed as the first widely‐available perennial grain candidate. However, because the crop is still in development, grain yields are lower than those of traditional cereals. Utilization of its non‐grain biomass (e.g. for biofuel production and as a source of fine chemicals) would increase the economic value of its cultivation. The present study provides a structural characterization of the lignin and cell wall carbohydrates in IWG biomass and qualitative profiling of biomass extractives and compares them to those of annual wheat (Triticum aestivum) biomass grown in the same location and growing season.RESULTSThe monosaccharide composition and ester‐linked phenolic acid contents of vegetative biomass material from annual wheat and IWG were similar. IWG vegetative biomass is rich in feruloylated arabinoxylans (AX) with a very low substitution rate, whereas the AX from IWG bran have a slightly higher substitution rate. The structure of IWG lignin was investigated using both the quantitative derivatization followed by reductive cleavage method and 2D‐NMR analysis, revealing an H:G:S lignin that incorporates tricin and is acylated with coumaric acid and smaller amounts of ferulates. IWG and wheat extractives contained fatty acids, various free phenolic compounds (tricin, monolignols and phenolic acids), phenolic conjugates and phytosterols.CONCLUSIONThe present study provides firm support for the further exploration of T. intermedium biomass as a carbohydrate feedstock (e.g, abundant in lightly substituted AX and cellulose polymers) for biofuel production and source of high‐value fine chemicals, such as tricin. © 2024 Society of Chemical Industry.
Which patients need anterior cruciate ligament reconstruction after initial treatment with rehabilitation? A scoping review
Authors: Arp Kamilla , Nedermark Jacob , Ingwersen Kim Gordon , Ageberg Eva , Varnum Claus , Viberg Bjarke 
Published: July 2024

AbstractPurposeSome patients with anterior cruciate ligament (ACL) injury initially treated with rehabilitation need ACL reconstruction (ACLR); yet, it is unclear what characterizes these patients. This review aimed to describe predictors for ACLR in patients initially treated with rehabilitation.MethodsA systematic literature search was performed in the Cochrane, Embase, Medline, SportsDiscus and Web of Science databases from inception to 21 February 2023. Articles describing characteristics in adult patients with ACL injury undergoing ACLR after a minimum of 5 weeks rehabilitation were included. It was a priori chosen that characteristics described in at least three articles were considered more certain and could be defined as a predictor for ACLR, and those described in less than three articles were considered less certain and therefore defined as possible predictors. Articles were screened by two independent reviewers. The study was originally intended as a systematic review with meta‐analysis, but in case of limited data, we would convert it to a scoping review, as was the case for this review.ResultsThere were 22,836 studies identified, and 181 full texts were screened, of which 10 papers were finally included. Only lower age and higher preinjury activity level were identified as predictors for ACLR. Another 12 possible predictors were identified in single studies. Through an iterative process, potential predictors were categorized into four groups: patient demographics, knee function, patient‐reported outcome measures and anatomical structures.ConclusionLower age and higher preinjury activity level were the only predictors for ACLR after initial treatment with rehabilitation. While younger and highly active patients show a higher need for ACLR, more studies focussing on predictors and reasons for delayed ACLR are warranted.Level of EvidenceLevel II.