bluuebunny/crossref_metadata_2025_split huggingface dataset:
Percutaneous Transluminal Angioplasty for Infrapopliteal Chronic Limb-Threatening Ischemia: A Systematic Review and Meta-analysis of Primary Patency and Binary Restenosis Rates
Authors: Snyder Daniel J. , Zilinyi Robert S. , Pruthi Sonal , George Sareena , Tirziu Daniela , Lansky Alexandra , Mintz Ari J. , Sethi Sanjum S. , Parikh Sahil A. 
Published: November 2023

Purpose: Percutaneous transluminal angioplasty (PTA) remains the mainstay of endovascular therapy for infrapopliteal chronic limb-threatening ischemia (CLTI), but outcomes have not been well characterized using high-quality data. The aim of this meta-analysis was to provide an updated benchmark for rates of primary patency and binary restenosis after PTA using prospectively collected, predominantly core-lab adjudicated randomized controlled trial (RCT) data. Materials and methods: MEDLINE, EMBASE, Cochrane Central, and ClinicalTrials.gov were queried for RCTs published through November 2022 using PTA as a control arm and including patients with infrapopliteal CLTI. Studies were excluded if >25% of patients had intermittent claudication, other vessels were included, or primary patency or binary restenosis were not outcomes. Outcomes were analyzed using random effects models. This analysis was publicly registered (PROSPERO ID#394543). No funding was utilized. Results: Seventeen RCTs were included (1048 patients, 1279 lesions). Pooled primary patency rates using data from 6 RCTs were 68% at 6 months (95% confidence interval [CI]=45%–84%) and 66% at 12 months (95% CI=51%–79%). Pooled binary restenosis rates using data from 11 RCTs were 54% at 6 months (95% CI=33%–73%) and 60% at 9 to 12 months (95% CI=39%–78%). Significant heterogeneity was present in all outcomes ( I2>50%, p<0.0001). Publication bias was not observed (Egger’s p>0.1). Conclusions: This meta-analysis provides estimates for binary restenosis and primary patency following PTA utilizing prospectively collected, predominantly core-lab adjudicated data. Results demonstrate 1-year primary patency rates that are 10% to 20% higher than what has been historically used in power calculations. These new estimates will help facilitate more accurate power analysis for future RCTs. Clinical Impact Rates of primary patency and binary restenosis after percutaneous transluminal angioplasty (PTA) have not been well-described using high-quality data, and investigators have been utilizing estimates of 40% to 50% and 45% to 65%, respectively, when performing power calculations for trials. This meta-analysis demonstrates using high-quality, prospectively collected, and predominantly core-lab adjudicated randomized controlled trial data that actual rates of primary patency are closer to 60% up to 1 year following PTA and provides the first meta-analysis estimate of binary restenosis rates up to 1 year after PTA. These estimates will help facilitate more accurate power calculations for future RCTs in this space.
How back pain influences daily activities and quality of life: Incidence of back pain related to age
Authors: Potaczek Tomasz , Jasiewicz Barbara 
Published: November 2023

Low back pain is a prevalent global musculoskeletal issue, with a lifetime prevalence ranging from 49% to 70% in adults. Traditionally associated with adults, recent field surveys indicate comparable prevalence rates in children and adolescents, challenging earlier assumptions. Non-specific low back pain, where the source cannot be identified through diagnostic imaging, accounts for about 80%–90% of cases. Studies have shown that over 80% of adolescents with low back pain exhibit no underlying pathology. The prevalence of low back pain in younger populations varies widely, influenced by study methodology, age, and pain types. Research suggests that back pain prevalence in adolescents increases with age, with a shift in attitudes considering it is not necessarily indicative of specific issues. Level of evidence: level V.
Early- and Late-Stage Benefits of Blood Flow Restriction Training on Knee Strength in Adolescents After Anterior Cruciate Ligament Reconstruction
Authors: Roman Dylan P. , Burland Julie P. , Fredericks Arthur , Giampetruzzi Nicholas , Prue Jennifer , Lolic Adel , Pace J. Lee , Crepeau Allison E. , Weaver Adam P. 
Published: November 2023

Background: Blood flow restriction training (BFRT) after anterior cruciate ligament reconstruction (ACLR) is rising in popularity because of its benefits in reducing muscle atrophy and mitigating knee strength deficits. Purpose: To investigate the impact BFRT has on adolescent knee strength after ACLR at 2 postoperative time points: at 3 months and the time of return to sport (RTS). Study Design: Cohort study; Level of evidence, 3. Methods: A prospective intervention (BFRT) group was compared to an age-, sex-, and body mass index–matched retrospective control group. Patients aged 12 to 18 years who underwent primary ACLR with a quadriceps tendon autograft were included. Along with a traditional rehabilitation protocol, the BFRT group completed a standardized BFRT protocol (3 BFRT exercises performed twice weekly for the initial 12 weeks postoperatively). Peak torque values for isometric knee extension and flexion strength (at 3 months and RTS) and isokinetic strength at 180 deg/s (at RTS) as well as Pediatric International Knee Documentation Committee (Pedi-IKDC) scores were collected. Differences between the BFRT and control groups were compared with 2-way mixed analysis of variance and 1-way analysis of variance. Results: The BFRT group consisted of 16 patients (10 female; mean age, 14.84 ± 1.6 years) who were matched to 16 patients in the control group (10 female; mean age, 15.35 ± 1.3 years). Regardless of the time point, the BFRT group demonstrated significantly higher isometric knee extension torque compared to the control group (2.15 ± 0.12 N·m/kg [95% CI, 1.90-2.39] vs 1.74 ± 0.12 N·m/kg [95% CI, 1.49-1.98], respectively; mean difference, 0.403 N·m/kg; P = .024). The BFRT group also reported significantly better Pedi-IKDC scores compared to the control group at both 3 months (68.91 ± 9.68 vs 66.39 ± 12.18, respectively) and RTS (89.42 ± 7.94 vs 72.79 ± 22.81, respectively) ( P = .047). Conclusion: In adolescents, the addition of a standardized BFRT protocol to a traditional rehabilitation protocol after ACLR significantly improved knee strength and patient-reported function compared to a traditional rehabilitation program alone.
TET2 deficiency promotes anxiety and depression-like behaviors by activating NLRP3/IL-1β pathway in microglia of allergic rhinitis mice
Authors: Gao Ziang , Lv Hao , Wang Yunfei , Xie Yulie , Guan Mengting , Xu Yu 
Published: November 2023

Abstract
Background
Anxiety and depression-like behaviors in allergic rhinitis (AR) are attracting attention, while the precise mechanism has not been clearly elucidated. Recent evidence shows that neuroinflammation in anterior cingulate cortex (ACC) may be the core of these neuropsychiatric symptoms in AR. Here, we investigated the molecular link between the anxiety and depression-like behaviors and neuroinflammation in ACC.

Methods
Mice were sensitized and challenged with ovalbumin (OVA) to induce AR. Nasal inflammation levels were assessed by H&E staining and PAS staining. Anxiety and depression-like behaviors were evaluated by behavioral experiments including open field test, forced swimming test, and sucrose preference test. Neuronal impairment was characterized via Nissl staining and 18FDG-PET. The role of ten-eleven translocation 2 (TET2) in AR-related anxiety and depression was assessed by Tet2−/− mice. In addition, the murine BV2 microglial cell line was utilized to explore the molecular mechanisms by which TET2 mediates neuroinflammation. The levels of TET2, NLRP3 and their downstream molecules were detected by immunohistochemistry, Western blot, Dot blot and ELISA. The effects of metformin on depression-like behaviors in AR mice were also evaluated.

Results
AR mice showed significant anxiety and depression-like behaviors, which associated with the activation of ACC. Loss of TET2 activated the NLRP3/IL-1β pathway of microglia in AR mice, further accelerating the anxiety and depression-like behaviors. In addition, knockdown of TET2 activated the NLRP3/IL-1β pathway in BV2 cells. Metformin improved the neuropsychiatric symptoms of AR mice by reducing the activation of NLRP3/IL-1β pathway after upregulating TET2.

Conclusion
TET2 deficiency activates the NLRP3/IL-1β pathway of microglia in the ACC, promoting the pathological process of anxiety and depression-like behavior in AR. Metformin could be effective in treating neuroinflammation by regulating microglia via TET2 up-regulation, indicating that metformin is a potential way to treat anxiety and depression-like behaviors in AR.
Trends in migraine incidence among women of childbearing age from 1990 to 2019 and the prediction for 2030: an analysis of national data in China
Authors: Fan Zhuanzhuan , Kang Jian , Li Wenting , Wang Zhiyong , Qiao Huifen , Xu Fei 
Published: November 2023

Abstract
Background
Migraine is a primary headache, which has been producing heavy disease burden globally. There is no data on the incidence of migraine among women of childbearing age worldwide, including China. This study aimed to investigate the time trend in incidence rate of migraine among women of childbearing age in China from 1999 to 2019, and to make a prediction for 2030.

Methods
Data on migraine incidence and population among women of childbearing age in China were derived from the Global Burden of Diseases Study 2019. Crude and age-standardized incidence rates of migraine (CIR, ASIR) were presented. The trend in migraine during 1990–2019 was examined using annual percent change and average annual percent change based on Joinpoint regression models. Age-period-cohort model was introduced to estimate the independent effect of age, period and cohort on migraine incidence rate among participants over the three decades. Bayesian age-period-cohort analysis was conducted to predict migraine incidence rate for 2030 among women of childbearing age in China.

Results
For women of childbearing age in China, the case number, CIR and ASIR of migraine kept rising, with a cumulative percentage increase of 10.87%, 2.01% and 5.65%, respectively, from 1990 to 2019. An annual percent increase of 0.18% in the ASIR was observed over the three decades. As for the age, period and cohort effects, the adjusted cohort-specific relative risks constantly increased from 0.91 (95% CI: 0.90, 0.93) in the 1940–1949 cohort to 1.04 (95% CI: 1.03, 1.05) in the 1995–2004 cohort, while the period-specific relative risks initially declined from 1.00 (95% CI: 0.99, 1.00) in 1990–1994 cohort to 0.99 (95% CI: 0.98, 0.99) in 1995–1999 cohort, and then increased to 1.04 (95% CI: 1.03, 1.04) in 2015–2019 cohort. Moreover, the age-specific relative risks of migraine followed a bimodal pattern with peaks at the age-group of 25–29 years (CIR = 1718.27/100000) and 35–39 years (CIR = 1635.18/100000). Projection modeling showed that the CIR and ASIR of migraine will continue to significantly increase from 2020 to 2030.

Conclusion
Migraine incidence remained an increasing trend from 1990 to 2019 and is projected to continually increase till 2030 among women of childbearing age in China. This study has important public health implication for population-level migraine prevention in China. Precision intervention strategies and approaches shall be considered in campaigns initiated for migraine prevention among Chinese women of childbearing age.
The role of life course and gender in mobility patterns: a spatiotemporal sequence analysis in Barcelona
Authors: Montero Lídia , Mejía-Dorantes Lucía , Barceló Jaume 
Published: November 2023

AbstractCitizens participate in various activities to fulfill their needs, advance their socio-economic status, and enhance their well-being through social and health-related engagements. However, activity participation is influenced by many factors in the built environment, such as the spatial and temporal dissemination of activities, which therefore necessitate travel to overcome physical distances. Moreover, individual attributes such as gender, daily schedules, and other socio-economic characteristics also influence mobility patterns. In this paper, we aim to investigate these factors in the specific context of the Barcelona Metropolitan Area using three different samples of residents from annual mobility surveys conducted between 2018 and 2020. To this end, we employ a sequence analysis method that examines the entire trajectory of an individual’s daily activities and travel, considering the number, order, and duration of activities. In this way, we analyse in detail how various individual characteristics and the built environment influence the fragmentation of activities. Our study yields multiple results. First, we find that even in a transport-oriented city, the fragmentation of activities is shaped by gender, especially after age 30, when major changes occur in an individual’s life course, in particular caring responsibilities and family status. Second, we observe that the educational level and year of the sample also play a central role in shaping mobility patterns. Finally, our paper makes a methodological contribution by defining sequence distances, after projecting the original space onto the factorial one defined by the Multiple Correspondence Analysis. This study shows that mobility policies should not focus solely on transport aspects, but also consider the built environment, dwelling location, gender, equity, and individual lifetime characteristics in an integrated manner.
AptaTrans: a deep neural network for predicting aptamer-protein interaction using pretrained encoders
Authors: Shin Incheol , Kang Keumseok , Kim Juseong , Sel Sanghun , Choi Jeonghoon , Lee Jae-Wook , Kang Ho Young , Song Giltae 
Published: November 2023

Abstract
Background
Aptamers, which are biomaterials comprised of single-stranded DNA/RNA that form tertiary structures, have significant potential as next-generation materials, particularly for drug discovery. The systematic evolution of ligands by exponential enrichment (SELEX) method is a critical in vitro technique employed to identify aptamers that bind specifically to target proteins. While advanced SELEX-based methods such as Cell- and HT-SELEX are available, they often encounter issues such as extended time consumption and suboptimal accuracy. Several In silico aptamer discovery methods have been proposed to address these challenges. These methods are specifically designed to predict aptamer-protein interaction (API) using benchmark datasets. However, these methods often fail to consider the physicochemical interactions between aptamers and proteins within tertiary structures.

Results
In this study, we propose AptaTrans, a pipeline for predicting API using deep learning techniques. AptaTrans uses transformer-based encoders to handle aptamer and protein sequences at the monomer level. Furthermore, pretrained encoders are utilized for the structural representation. After validation with a benchmark dataset, AptaTrans has been integrated into a comprehensive toolset. This pipeline synergistically combines with Apta-MCTS, a generative algorithm for recommending aptamer candidates.

Conclusion
The results show that AptaTrans outperforms existing models for predicting API, and the efficacy of the AptaTrans pipeline has been confirmed through various experimental tools. We expect AptaTrans will enhance the cost-effectiveness and efficiency of SELEX in drug discovery. The source code and benchmark dataset for AptaTrans are available at https://github.com/pnumlb/AptaTrans.
Comparative mitochondrial genome analysis of three leafhopper species of the genus Abrus Dai & Zhang (Hemiptera: Cicadellidae: Deltocephalinae) from China with phylogenetic implication
Authors: Hassan Muhammad Asghar , Tan Zhixiang , Shen Rongrong , Xing Jichun 
Published: November 2023

Abstract
Background
The phylogenetic position and classification of Athysanini are poorly defined, as it includes a large group of polyphyletic genera that have historically been assigned to it mainly because they still exhibit the most typical deltocephaline genitalic and external body characters but lack the distinctive characteristics that other tribes possess. The bamboo-feeding leafhopper genus Abrus belong to the tribe Athysanini of subfamily Deltocephalinae, which currently comprises 19 valid described species, and are limited to the Oriental and Palaearctic regions in China. Although the taxonomy of Abrus are well updated, the references on comparative mitogenomic analyses of Abrus species are only known for a single species. In this study, we sequenced and analyzed the complete mitochondrial genomes (mitogenomes) of Abrus daozhenensis Chen, Yang & Li, 2012 (16,391bp) and A. yunshanensis Chen, Yang & Li, 2012 (15,768bp) (Athysanini), and compared with published mitogenome sequence of A. expansivus Xing & Li, 2014 (15,904bp).

Results
These Abrus species shared highly conserved mitogenomes with similar gene order to that of the putative ancestral insect with 37 typical genes and a non-coding A + T-rich region. The nucleotide composition of these genomes is highly biased toward A + T nucleotides (76.2%, 76.3%, and 74.7%), AT-skews (0.091 to 0.095, and 0.095), negative GC-skews (− 0.138, − 0.161, and − 0.138), and codon usage. All 22 tRNA genes had typical cloverleaf secondary structures, except for trnS1 (AGN) which lacks the dihydrouridine arm, and distinctively trnG in the mitogenome of A. expansivus lacks the TψC arm. Phylogenetic analyses based on 13 PCGs, 2 rRNA genes, and 22 tRNA genes consistently recovered the monophyletic Opsiini, Penthimiini, Selenocephalini, Scaphoideini, and Athysanini (except Watanabella graminea, previously sequenced species as Chlorotettix nigromaculatus) based on limited available mitogenome sequence data of 37 species.

Conclusion
At present, Abrus belongs to the tribe Athysanini based on both morphological and molecular datasets, which is strongly supported in present phylogenetic analyses in both BI and ML methods using the six concatenated datasets: amino acid sequences and nucleotides from different combinations of protein-coding genes (PCGs), ribosomal RNA (rRNAs), and transfer RNA (tRNAs). Phylogenetic trees reconstructed herein based on the BI and ML analyses consistently recovered monophylitic Athysanini, except Watanabella graminea (Athysanini) in Opsiini with high support values.
Activation dynamics of antigen presenting cells in vivo against Mycobacterium bovis BCG in different immunized route
Authors: Xu Zhengzhong , Li Xin , Xia Aihong , Zhang Zhifang , Wan Jiaxu , Gao Yan , Meng Chuang , Chen Xiang , Jiao Xin-an 
Published: November 2023

Abstract
Background
Control of Tuberculosis (TB) infection is mainly the result of productive teamwork between T-cell populations and antigen presenting cells (APCs). However, APCs activation at the site of initiating cellular immune response during BCG early infection is not completely understood.

Methods
In this study, we injected C57BL/6 mice in intravenous (i.v) or subcutaneous (s.c) route, then splenic or inguinal lymph node (LN) DCs and MΦs were sorted, and mycobacteria uptake, cytokine production, antigen presentation activity, and cell phenotype were investigated and compared, respectively.

Results
Ag85A-specific T-cell immune response began at 6 days post BCG infection, when BCG was delivered in s.c route, Th17 immune response could be induced in inguinal LN. BCG could induce high level of activation phenotype in inguinal LN MΦs, while the MHC II presentation of mycobacteria-derived peptides by DCs was more efficient than MΦs.

Conclusions
The results showed that BCG immunized route can decide the main tissue of T-cell immune response. Compared with s.c injected route, APCs undergo more rapid cell activation in spleen post BCG i.v infection.
Machine learning for predicting intrahospital mortality in ST-elevation myocardial infarction patients with type 2 diabetes mellitus
Authors: Chen Panke , Wang Bine , Zhao Li , Ma Shuai , Wang Yanping , Zhu Yunyue , Zeng Xin , Bai Zhixun , Shi Bei 
Published: November 2023

AbstractIn an era of increasing need for precision medicine, machine learning has shown promise in making accurate acute myocardial infarction outcome predictions. The accurate assessment of high-risk patients is a crucial component of clinical practice. Type 2 diabetes mellitus (T2DM) complicates ST-segment elevation myocardial infarction (STEMI), and currently, there is no practical method for predicting or monitoring patient prognosis. The objective of the study was to compare the ability of machine learning models to predict in-hospital mortality among STEMI patients with T2DM. We compared six machine learning models, including random forest (RF), CatBoost classifier (CatBoost), naive Bayes (NB), extreme gradient boosting (XGBoost), gradient boosting classifier (GBC), and logistic regression (LR), with the Global Registry of Acute Coronary Events (GRACE) risk score. From January 2016 to January 2020, we enrolled patients aged > 18 years with STEMI and T2DM at the Affiliated Hospital of Zunyi Medical University. Overall, 438 patients were enrolled in the study [median age, 62 years; male, 312 (71%); death, 42 (9.5%]). All patients underwent emergency percutaneous coronary intervention (PCI), and 306 patients with STEMI who underwent PCI were enrolled as the training cohort. Six machine learning algorithms were used to establish the best-fit risk model. An additional 132 patients were recruited as a test cohort to validate the model. The ability of the GRACE score and six algorithm models to predict in-hospital mortality was evaluated. Seven models, including the GRACE risk model, showed an area under the curve (AUC) between 0.73 and 0.91. Among all models, with an accuracy of 0.93, AUC of 0.92, precision of 0.79, and F1 value of 0.57, the CatBoost model demonstrated the best predictive performance. A machine learning algorithm, such as the CatBoost model, may prove clinically beneficial and assist clinicians in tailoring precise management of STEMI patients and predicting in-hospital mortality complicated by T2DM.
Association between cognitive function and dusty weather: a propensity score matching study
Authors: Yao Honghui , Peng Zixuan , Sha Xinping 
Published: November 2023

Abstract
Background
With a rapidly aging global population, the health of older adults is a national priority for countries across the world. Dusty weather has been demonstrated to be a potential risk factor of cognitive function among the elderly population. However, there is a paucity of studies exploring the associations between dusty weather and cognitive function among the older in China.

Methods
Data on individual characteristics were obtained from the China Health and Retirement Longitudinal Survey (CHARLS) 2018, whereas data on air pollution were sourced from environmental monitoring stations in China. Cognitive function, including general cognitive function, episodic memory, and linguistic competence, was assessed by self- or informant-questionnaires. We used propensity score matching and linear regression to investigate the relationship between dusty weather and cognitive function. Sensitivity analyses were conducted to test the robustness of the results.

Results
This study included 8,604 participants older than 60 years old. After controlling air pollutant weather, dusty weather was demonstrated to be positively associated with a decline in cognitive function (Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE), 4.0, 95% confidence interval (CI): 3.11, 4.89; Mini‐Mental State Exam (MMSE), 0.63, 95% CI: 0.34, 0.92). Results of sensitivity analysis showed that our research findings are robust.

Conclusion
Older adults living in dusty weather regions suffered a higher level of cognitive impairment, and such adverse effects were more substantial among females compared with their male counterparts. Targeted health interventions to help older adults living in regions where dusty weather occurs frequently are suggested to be proposed.