bluuebunny/crossref_metadata_2025_split huggingface dataset:
The research trend on neurobrucellosis over the past 30 years (1993–2023): a bibliometric and visualization analysis
Authors: Yang Lanting , Pan Wei , Cai Qiong , An Mingyang , Wang Chunjie , Pan Xilong 
Published: September 2024

BackgroundBrucellosis is a zoonotic disease caused by Brucella infection, which is common in pastoral areas. Neurological involvement in brucellosis is relatively rare. But since 1993, continuous studies have been reporting neurological complications of brucellosis, collectively referred to as neurobrucellosis. A bibliometric analysis of existing literature outlines current research progress and gaps and provides guidance for the clinical treatment of neurobrucellosis, promoting patient health in the process of guiding clinical practice, and improving their quality of life.MethodsCiteSpace and VOSviewer are software tools to visualize research trends and networks. By selecting specific areas of interest and configuring the right parameters, the tools can visualize past research data. The study retrieved the literature from the Web of Science Core Collection Database and downloaded it in plain text file format. Citespace6.1.6, VOSviewer v1.6.20, and Microsoft Excel 16.59 were used for analyzing the following terms: countries, institutions, authors’ cooperation, journals, keywords, and co-citation.ResultsThere are eight key results. (1) The publication volume shows a general upward trend. (2) Turkey is the country with the highest publication volume and contributing institutions. (3) Giambartolomei GH, Gul HC, and Namiduru M are the authors with the highest number of publications. (4) Neurology is the journal that published the highest number of related articles (n = 12). (5) “Diagnosis,” “meningitis,” and “features” are the top three frequently occurring keywords. (6) Keyword clusters show “antibiotic therapy” and “cerebrospinal fluid” have future study value. (7) The burst analysis of the keywords also indicates that “cerebrospinal fluid” may become a prominent keyword in future research. (8) The co-citation analysis concludes three categories of the cited articles, which are diagnosis, therapy, and complications, indicating the past research direction.ConclusionThis study highlights the complexity of neurobrucellosis, presenting the need for advanced diagnostic techniques and multifaceted treatment approaches. While antibiotics remain the cornerstone of therapy, the use of corticosteroids to mitigate inflammatory responses shows promise, albeit with concerns about potential sequelae and relapse. Future research should focus on refining therapeutic strategies that address both the direct effects of infection and the broader immunological impacts to improve patient outcomes and quality of life.
Sarcopenia predicts immune-related adverse events due to anti-PD-1/PD-L1 therapy in patients with advanced lung cancer
Authors: Xue Dinglong , Li Ning , Yang Jiaxin , Men Kaiya , Li Lijun , Jiang Hao , Zhao Xu , Zhang Shuai 
Published: September 2024

IntroductionImmune checkpoint inhibitors (ICIs) have revolutionized the treatment of a number of patients with advanced cancer, and while this has resulted in increased survival times, it has also led to the emergence of novel immune-related adverse events (irAEs). In individuals with advanced cancer, sarcopenia is a significant symptom of cachexia and is linked to poor nutritional status and increased mortality. The present study aimed to evaluate sarcopenia and other risk variables that can affect the emergence of irAEs in patients with lung cancer.MethodsA single-center retrospective analysis of 129 patients with advanced lung cancer treated with programmed cell death protein-1 (PD-1)/programmed cell death ligand-1 (PD-L1) checkpoint inhibitors was conducted from August 2020 to August 2022. Data on baseline characteristics and adverse events of participants were collected. Computed tomography was used to determine the skeletal muscle index at the third lumbar vertebra (L3-SMI) and whether sarcopenia is present.ResultsThe median age of all participants was 60 years old (range, 52-66 years), with men accounting for 68.9% of the total patient cohort. The present study showed that 44 (34%) participants presented with any degree of irAEs, and 79 (61.2%) patients presented with sarcopenia. There were no statistically significant differences in baseline characteristics, such as age and sex, between patients who presented with irAEs and those without irAEs. Using logistic regression analysis, individuals with sarcopenia were 2.635-times more likely to experience any grade of irAEs than those without sarcopenia.DiscussionirAEs are prevalent side effects of PD-1/PD-L1 inhibitor therapy for patients with cancer. By diagnosing and treating sarcopenia early, it is possible to lower the potential risk of irAEs in patients with advanced cancer. Furthermore, sarcopenia can be utilized as a predictor of irAEs.
Design, synthesis and neuroprotective activity of compound derived from Gastrodia elata Blume and borneol
Authors: Zhi Lijuan , Li Huan , Shi Baimei , Yu Tao , Jia Xiaoni , Zhang Hui 
Published: September 2024

IntroductionTraditional Chinese medicine Gastrodia elata Blume (GEB) possesses properties that soothe the liver and dispel wind. Its constituents exhibit numerous pharmacological properties, including neuroprotective effects, analgesic properties for headache relief, memory enhancement, and others. Borneol enhances drug absorption by traversing the blood-brain barrier, thereby improving its bioavailability and therapeutic efficacy. The research aimed to design innovative drug molecules and contribute to the beneficial exploration of compound Chinese medicine modernization.MethodsThis study employed the strategy of “compound Chinese medicine molecular chemistry” to integrate and fuse the effective substances of compound Chinese medicines. An excitotoxic injury model was established by exposing PC12 cells to glutamate. Cell viability was quantitatively evaluated utilizing a colorimetric assay with the CCK-8 reagent kit. Genecards, Disgenet, and OMIM databases were used to identify potential disease-related targets. Molecular docking methods were performed to predict the binding interactions between compounds and core targets.ResultsWe designed and synthesized compounds TB-1 to TB-16. Following the evaluation of their safety, TB-1, TB-2, TB-12, and TB-16 were selected for further investigation of their neuroprotective properties. The compound designed in this study exhibits a dose-dependent protective effect on glutamate-damaged PC12 cells. Further network pharmacology and molecular docking analyses indicate that TB-2 possesses a potential therapeutic effect against cerebral ischemia, and its possible targets were SRC, MAPK1 and KDR.DiscussionThe results indicated that TB-2 displayed a significant neuroprotective effect against Glu-induced injury in PC12 cells, suggesting potential therapeutic implications for cerebral ischemia.
Computational insights into the inhibitory mechanism of type 2 diabetes mellitus by bioactive components of Oryza sativa L. indica (black rice)
Authors: Rasool Kashaf , Bhatti Attya , Satti Abid Majeed , Paracha Rehan Zafar , John Peter 
Published: September 2024

BackgroundType 2 diabetes mellitus is a metabolic disease categorized by hyperglycemia, resistance to insulin, and ß-cell dysfunction. Around the globe, approximately 422 million people have diabetes, out of which 1.5 million die annually. In spite of innovative advancements in the treatment of diabetes, no biological drug has been known to successfully cure and avert its progression. Thereupon, natural drugs derived from plants are emerging as a novel therapeutic strategy to combat diseases like diabetes.ObjectiveThe current study aims to investigate the antidiabetic potential of natural compounds of Oryza sativa L. indica (black rice) in disease treatment.MethodsAntioxidant activity and alpha amylase assays were performed to evaluate the therapeutic potential of the extract of Oryza sativa L. indica. Gas chromatography–mass spectrometry (GC–MS) was used for identification of constituents from the ethanol extract. ADMET profiling (absorption, distribution, metabolism, excretion, and toxicity), network pharmacology, and molecular dynamics simulation were employed in order to uncover the active ingredients and their therapeutic targets in O. sativa L. indica against type 2 diabetes mellitus.ResultsGC–MS of the plant extract provided a list of 184 compounds. Lipinski filter and toxicity parameters screened out 18 compounds. The topological parameters of the protein–protein interaction (PPI) were used to shortlist the nine key proteins (STAT3, HSP90AA1, AKT1, SRC, ESR1, MAPK1, NFKB1, EP300, and CREBBP) in the type 2 diabetes mellitus pathways. Later, molecular docking analysis and simulations showed that C14 (1H-purine-8-propanoic acid, .alpha.-amino-2, 3, 6, 7-tetrahydro-1,3,7-trimethyl-2,6-dioxo-) and C18 (cyclohexane-carboxamide, N-furfuryl) bind with AKT1 and ESR1 with a binding energy of 8.1, 6.9, 7.3, and 7.2 kcal/mol, respectively. RMSD (root-mean-square deviation) and RMSF (root-mean-square fluctuation) values for AKT1 and ESR1 have shown very little fluctuation, indicating that proteins were stabilized after ligand docking.ConclusionThis study suggests therapeutic drug candidates against AKT1 and ESR1 to treat type 2 diabetes mellitus. However, further wet-lab analysis is required to discover the best remedy for type 2 diabetes mellitus.
Neuroprotective effect of Bouvardia ternifolia (Cav.) Schltdl via inhibition of TLR4/NF-κB, caspase-3/Bax/Bcl-2 pathways in ischemia/reperfusion injury in rats
Authors: Zapata-Lopera Yury Maritza , Trejo-Tapia Gabriela , Cano-Europa Edgar , Rodríguez-Hernández Aida Araceli , Rojas-Franco Placido , Herrera-Ruiz Maribel , Jiménez-Ferrer Enrique 
Published: September 2024

IntroductionBouvardia ternifolia is a plant known for its traditional medicinal uses, particularly in treating inflammation and oxidative stress. Recent studies have explored its potential in neuroprotection, especially in the context of cerebral ischemia/reperfusion injury, a condition where blood supply returns to the brain after a period of ischemia, leading to oxidative stress and inflammation. This damage is a major contributor to neuronal death and neurodegenerative diseases.MethodsA BCCAO/reperfusion model was induced, followed by treatment with B. ternifolia extract. Various molecular biology methods were employed, including Western blot analysis, gene expression assessment via RT-qPCR, and the measurement of oxidative stress mediators.ResultsIn the BCCAO/reperfusion model, the compounds in the dichloromethane extract work by targeting various signaling pathways. They prevent the activation of iNOS and nNOS, reducing harmful reactive oxygen and nitrogen species, and boosting antioxidant enzymes like catalase and superoxide dismutase. This lowers oxidative stress and decreases the expression of proteins and genes linked to cell death, such as Bax, Bcl-2, and caspase-3. The extract also blocks the TLR4 receptor, preventing NF-κB from triggering inflammation. Additionally, it reduces the activation of microglia and astrocytes, as shown by lower levels of glial activation genes like GFAP and AiF1.ConclusionThe dichloromethane extract of B. ternifolia demonstrated significant neuroprotective effects in the BCCAO/reperfusion model by modulating multiple signaling pathways. It effectively reduced oxidative stress, inhibited inflammation, and attenuated apoptosis, primarily through the downregulation of key proteins and genes associated with these processes. These findings suggest that the extract holds therapeutic potential for mitigating ischemia/reperfusion-induced neuronal damage.
Adverse event signal mining and severe adverse event influencing factor analysis of Lumateperone based on FAERS database
Authors: Zhang Yanjing , Zhou Chunhua , Liu Yan , Hao Yupei , Wang Jing , Song Bingyu , Yu Jing 
Published: September 2024

BackgroundLumateperone has been approved by the Food and Drug Administration (FDA) for the treatment of schizophrenia in adults since 2019, however, there is still a lack of data report on adverse reactions in real-world settings. Conducting data mining on adverse events (AEs) associated with Lumateperone and investigating the risk factors for serious AEs can provide valuable insights for its clinical practice.MethodsAE reports in the FDA Adverse Event Reporting System (FAERS) from 2019 Q4 (FDA approval of Lumateperone) to 2024 Q1 were collected and analyzed. Disproportionality in Lumateperone-associated AEs was evaluated using the following parameters: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS). Univariate and multivariate logistic regression analyses were conducted to identify the risk factors for Lumateperone-induced severe AEs.ResultsA total of 2,644 reports defined Lumateperone as the primary suspected drug was collected, including 739 reports classified as severe AEs and 1905 reports as non-severe AEs. The analysis revealed that 130 preferred terms (PTs) with significant disproportionality were based on the four algorithms, 67 (51.53%) of which were not included in the product labeling, affecting 6 systems and organs. In addition, dizziness (81 cases) was the most reported Lumateperone-associated severe AEs, and tardive dyskinesia showed the strongest signal (ROR = 186.24). Logistic regression analysis indicated that gender, bipolar II disorder, and concomitant drug use are independent risk factors for Lumateperone-associated severe AEs. Specifically, female patients had a 1.811-fold increased risk compared with male patients (OR = 1.811 [1.302, 2.519], p = 0.000), while patients with bipolar II disorder had a 1.695-fold increased risk compared with patients diagnosed with bipolar disorder (OR = 1.695 [1.320, 2.178], p = 0.000). Conversely, concomitant use of CYP3A4 inhibitors or drugs metabolized by CYP3A4 was associated with a decreased risk of severe AEs (OR = 0.524 [0.434, 0.633], P = 0.000).ConclusionCollectively, this study provides critical insights into the safety profile of Lumateperone. It highlights the need for cautious use in high-risk populations, such as females and individuals with bipolar II disorder, and emphasizes the importance of monitoring for AEs, including dizziness and tardive dyskinesia. Healthcare also should remain alert to potential AEs not listed in the prescribing information to ensure medical safety.
Hematological and performance adaptations to altitude training (2,320 m) in elite middle-distance and distance swimmers
Authors: Mujika Iñigo , Bourdillon Nicolas , Zelenkova Irina , Vergnoux Frédéric , Millet Grégoire P. 
Published: September 2024

PurposeElite swimmers often schedule altitude training camps ahead of major events in an attempt to maximize performance. However, the relationships between altitude-induced hematological changes, markers of training adaptation, and performance changes in such context are unclear. This study assessed hematological status, markers of daily adaptation, and swimming performance in elite middle-distance and distance swimmers during a 22-day altitude training camp at 2,320 m, 2 weeks prior to World Championship qualification competition.MethodsVenous blood was obtained and total hemoglobin mass (tHbmass) measured (CO rebreathing) in 7 elite swimmers (4 females, 3 males) 8 days before and on day 22 of the altitude camp. Resting heart rate, peripheral oxygen saturation, urinary specific gravity, body mass, fatigue and self-reported sleep duration and quality were monitored daily during the altitude camp. Swimming performance was assessed through a standardized set (6 sets of 4 maximal repetitions of 100 m front crawl) on days 3, 10 and 17 of the camp, and at sea level competitions (200 m–1,500 m) immediately after the camp, and 2 weeks later.ResultstHbmass (+5.6 ± 3.3%; range: 2.1%–11.0%; p &lt; 0.05), red blood cell count, hemoglobin concentration, hematocrit increased at the end of the training camp (p &lt; 0.05). Performance at altitude improved throughout the camp (+1.4 ± 0.4%; range: 0.7%–2.5%; p &lt; 0.05). No significant relationship was noted between hematological changes, the change in altitude performance and any of the monitored daily markers of adaptation during the camp. Compared to the swimmers’ previous personal best, competition performances did not improve immediately (2.5% ± 1.9% slower times) and 2 weeks after altitude (1.2% ± 1.4% slower times).ConclusionThe 22-day altitude training camp at 2,320 m was beneficial for elite swimmers’ tHbmass, hematological status and performance at altitude, but these benefits did not clearly translate into enhanced sea level performance immediately after or 2 weeks later. The present study confirms the large inter-individual variability in hematological responses to altitude training, and that the improvement in performance at altitude and sea level may depend on factors other than the increase in tHbmass alone.
YOLOv5-POS: research on cabbage pose prediction method based on multi-task perception technology
Authors: Shen Xiaojun , Shao Chaofan , Cheng Danyi , Yao Lili , Zhou Cheng 
Published: September 2024

IntroductionAccurate and rapid identification of cabbage posture is crucial for minimizing damage to cabbage heads during mechanical harvesting. However, due to the structural complexity of cabbages, current methods encounter challenges in detecting and segmenting the heads and roots. Therefore, exploring efficient cabbage posture prediction methods is of great significance.MethodsThis study introduces YOLOv5-POS, an innovative cabbage posture prediction approach. Building on the YOLOv5s backbone, this method enhances detection and segmentation capabilities for cabbage heads and roots by incorporating C-RepGFPN to replace the traditional Neck layer, optimizing feature extraction and upsampling strategies, and refining the C-Seg segmentation head. Additionally, a cabbage root growth prediction model based on Bézier curves is proposed, using the geometric moment method for key point identification and the anti-gravity stem-seeking principle to determine root-head junctions. It performs precision root growth curve fitting and prediction, effectively overcoming the challenge posed by the outer leaves completely enclosing the cabbage root stem.Results and discussionYOLOv5-POS was tested on a multi-variety cabbage dataset, achieving an F1 score of 98.8% for head and root detection, with an instance segmentation accuracy of 93.5%. The posture recognition model demonstrated an average absolute error of 1.38° and an average relative error of 2.32%, while the root growth prediction model reached an accuracy of 98%. Cabbage posture recognition was completed within 28 milliseconds, enabling real-time harvesting. The enhanced model effectively addresses the challenges of cabbage segmentation and posture prediction, providing a highly accurate and efficient solution for automated harvesting, minimizing crop damage, and improving operational efficiency.
The effects of exercise on antenatal depression: a systematic review and meta-analysis
Authors: Zhang Zheng , Liu Yun Jia , Sun Lin , Zhao Xiao-Dong 
Published: September 2024

ObjectiveThe aim of this study was to conduct a systematic evaluation of exercise interventions’ effectiveness on antenatal depressive symptoms in pregnant women and to investigate the impact of different intervention factors on the relationship between exercise and antenatal depressive symptoms.MethodsWe conducted comprehensive searches in several databases, including PubMed, Embase, Web of Science, Cochrane Library, and others. The search period covered from database inception to May 2023. After thorough screening, a total of 7 papers with 524 subjects were included in the analysis.ResultsThe meta-analysis revealed that the overall effect size of exercise intervention on antenatal depressive symptoms in pregnant women was SMD = -0.41, with a 95% confidence interval of [-0.78, -0.05], and P = 0.03, indicating a significant improvement in depressive symptoms due to exercise intervention during the antenatal period. However, some degree of heterogeneity was observed among the studies, with I² = 74%, P = 0.0007.ConclusionThe results indicate that exercise interventions significantly contribute to the improvement of antenatal depressive symptoms in pregnant women, as inferred from the combined findings of the studies. Notably, static exercise intervention showed better results than dynamic exercise intervention. Moreover, interventions conducted before 20 weeks’ gestation had superior outcomes compared to those conducted after 20 weeks’ gestation, and interventions lasting longer than the trimester duration exhibited more favorable effects than shorter interventions. However, to validate these findings and optimise exercise intervention protocols for better antenatal maternal depressive symptom management, larger sample sizes and more comprehensive studies are required, given the observed heterogeneity and potential limitations in the present study.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/ PROSPERO, identifier (CRD42023422315).
Mental health of individuals with pre-existing mental illnesses at the beginning of the COVID-19 pandemic: results of the German National Cohort (NAKO)
Authors: Stein Janine , Pabst Alexander , Berger Klaus , Karch André , Teismann Henning , Streit Fabian , Grabe Hans J. , Mikolajczyk Rafael , Massag Janka , Lieb Wolfgang , Castell Stefanie , Heise Jana-Kristin , Schulze Matthias B. , Gastell Sylvia , Harth Volker , Obi Nadia , Peters Annette , Huemer Marie-Theres , Bohmann Patricia , Leitzmann Michael , Schipf Sabine , Meinke-Franze Claudia , Hebestreit Antje , Fuhr Daniela C. , Michels Karin B. , Jaskulski Stefanie , Stocker Hannah , Koch-Gallenkamp Lena , Willich Stefan N. , Keil Thomas , Löffler Markus , Wirkner Kerstin , Riedel-Heller Steffi G. ,   for German National Cohort (NAKO) Consortium
Published: September 2024

BackgroundThe COVID-19 pandemic prompted a range of studies on mental health, with mixed results. While numerous studies reported worsened conditions in individuals with pre-existing mental disorders, others showed resilience and stability in mental health. However, longitudinal data focusing on the German population are sparse, especially regarding effects of age and pre-existing mental disorders during the early stages of the pandemic.ObjectivesTo assess the interplay between psychiatric history, age, and the timing of the pandemic, with a focus on understanding how these factors relate to the severity of depression and anxiety symptoms.MethodsExploratory analyses were based on 135,445 individuals aged 20–72 years from the German National Cohort (NAKO). Depressive and anxiety symptoms were assessed before and after the first wave of the pandemic. Inferential statistical analyses and negative binomial regression models were calculated.ResultsPersons with a self-reported psychiatric history exhibited comparable levels of depression and anxiety symptom severity after the first wave of the pandemic compared to the time before. In contrast, individuals without a psychiatric history, particularly those in their 20s to 40s, experienced an increase in mental health symptom severity during the first wave of the pandemic.LimitationsAnalyses focuses on the first wave of the pandemic, leaving the long-term mental health effects unexplored.ConclusionFuture research should consider age-specific and mental-health-related factors when addressing global health crises. Additionally, it is important to explore factors influencing resilience and adaptation, aiming to develop targeted interventions and informed policies for effective mental health management during pandemics.