bluuebunny/crossref_metadata_2025 huggingface dataset:
A peptide mimic of SOCS1 modulates equine peripheral immune cells in vitro and ocular effector functions in vivo: implications for recurrent uveitis
Authors: Stafford Lauren Stewart , Plummer Caryn E. , Smith W. Clay , Gibson Daniel J. , Sharma Jatin , Vicuna Valeria , Diakite Sisse , Larkin Joseph
Published: January 2025

Introduction

Recurrent uveitis (RU), an autoimmune disease, is a leading cause of ocular detriment in humans and horses. Equine and human RU share many similarities including spontaneous disease and aberrant cytokine signaling. Reduced levels of SOCS1, a critical regulator of cytokine signaling, is associated with several autoimmune diseases. Topical administration of SOCS1-KIR, a peptide mimic of SOCS1, was previously correlated to reduced ocular pathologies within ERU patients.

Methods

To further assess the translational potential of a SOCS1 mimetic to treat RU, we assessed peptide-mediated modulation of immune functions in vitro, using equine peripheral blood mononuclear cells (PBMC), and in vivo through topical administration of SOCS1-KIR into the eyes of experimental (non-uveitic) horses. Equine PBMCs from non-uveitic control and ERU horses were cultured with or without SOCS1-KIR pretreatment, followed by 72 hours of mitogen stimulation. Proliferation was assessed using MTT, and cytokine production within cell supernatants was assessed by Luminex. SOCS1-KIR or carrier eye-drops were topically applied to experimental horse eyes twice daily for 21 days, followed by enucleation and isolation of ocular aqueous and vitreous humor. Histology was used to assess peptide treatment safety and localization within treated equine eyes. Cytokine secretion within aqueous humor and vitreous, isolated from experimental equine eyes, was measured by Luminex.

Results

Following SOCS1-KIR pretreatment, cell proliferation significantly decreased in control, but not ERU-derived PBMCs. Despite differential regulation of cellular proliferation, SOCS1-KIR significantly reduced TNFα and IL-10 secretion in PHA-stimulated control and ERU equine PBMC. SOCS1-KIR increased PBMC secretion of IL-8. Topically administered SOCS1-KIR was well tolerated. Although SOCS1-KIR was undetectable within the eye, topically treated equine eyes had significant reductions in TNFα and IL-10. Interestingly, we found that while SOCS1-KIR treatment reduced TNFα and IL-10 production in healthy and ERU PBMC, SOCS1-KIR differentially modulated proliferation, IP-10 production, and RANTES within these two groups suggesting possible differences in cell types or activation status.

Discussion

Topical administration of a SOCS1 peptide mimic is safe to the equine eye and reduces ERU associated cytokines IL-10 and TNFα serving as potential biomarkers of drug efficacy in a future clinical trial.
Case report: Kikuchi-Fujimoto disease presenting with persistent fever and widespread lymphadenopathy in a young adult
Authors: Ye Jing , Yu Qian , Chen Yan , Huang Chunping
Published: January 2025

Kikuchi-Fujimoto disease (KFD) is a rare, self-limiting condition typically characterized by fever and lymphadenopathy. The exact etiology remains unclear but is suspected to be associated with viral infections and autoimmune responses. This report presents the case of a 32-year-old Chinese male who was admitted with recurrent high fever, lymphadenopathy, and hepatosplenomegaly. Initial treatment was ineffective, and a lymph node biopsy subsequently confirmed the diagnosis of KFD, with evidence of cytomegalovirus infection. Following treatment with corticosteroids, the patient’s symptoms improved rapidly, and no relapse was observed during follow-up after discharge. This case highlights the diagnostic challenges of KFD, particularly in distinguishing it from lymphoma and systemic lupus erythematosus. Accurate and timely diagnosis is crucial to avoid unnecessary treatments, and long-term follow-up is recommended to monitor for potential disease progression.
Switch from eculizumab to satralizumab in aquaporin 4 immunoglobulin G–seropositive neuromyelitis optica spectrum disorder: a case series report
Authors: Abboud Hesham , Subei Adnan , Sengul Buse , Shin Robert K. , Goulette Paige , Walch Rosemarie , Coté Jeanie , Pace Robert , Obeidat Ahmed Z. , Ferayorni Lisa , Gholizadeh Shervin
Published: January 2025

Objectives

This case series describes adults with aquaporin 4 immunoglobulin G–seropositive (AQP4-IgG+) neuromyelitis optica spectrum disorder (NMOSD) who switched treatment from eculizumab to satralizumab.

Methods

Case information for patients with AQP4-IgG+ NMOSD who received satralizumab for ≥6 months was obtained from US healthcare providers from April 2022 to January 2024. Patient characteristics, examination findings, diagnostic test results, treatment response, and adverse events were recorded.

Results

Among the 5 patients (4 women and 1 man) included, ages ranged from 32 to 81 years and 4 patients self-identified as Black/African American and 1 as White. Time since confirmed NMOSD diagnosis ranged from 1 to 14 years. The reasons for initiating satralizumab were route of administration/patient preference (n=3) and inadequate disease control with eculizumab (n=2). The duration of satralizumab treatment was 10 to 31 months. All 5 patients were relapse-free with satralizumab, and adverse events they experienced were primarily asymptomatic laboratory abnormalities.

Discussion

In this retrospective case series, satralizumab was effective and well tolerated in patients with NMOSD who switched from eculizumab due to route of administration/patient preference or inadequate disease control. These outcomes align with the long-term efficacy and safety outcomes with satralizumab in the phase 3 SAkura clinical trials.
Advances in prostate-specific membrane antigen-targeted theranostics: from radionuclides to near-infrared fluorescence technology
Authors: Jiang Zhongji , Kadeerhan Gaohaer , Zhang Jin , Guo Wenmin , Guo Hong , Wang Dongwen
Published: January 2025

Prostate-Specific Membrane Antigen (PSMA) is a highly expressed and structurally unique target specific to prostate cancer (PCa). Diagnostic and therapeutic approaches in nuclear medicine, coupling PSMA ligands with radionuclides, have shown significant clinical success. PSMA-PET/CT effectively identifies tumors and metastatic lymph nodes for imaging purposes, while 177Lu-PSMA-617 (Pluvicto) has received FDA approval for treating metastatic castration-resistant PCa (mCRPC). Despite their success, radionuclide-based diagnostic and therapeutic methods face limitations such as high costs and significant side effects. Recently, near-infrared (NIR) fluorescence imaging and phototherapy have advanced significantly in biomedical applications. It’s benefits, such as deep tissue penetration, real-time precision, and minimal side effects, have driven broader clinical adoption, especially in fluorescence-guided surgery (FGS). This review suggests combining NIR dyes with PSMA ligands to enable targeted, high-resolution imaging with superior signal-to-background ratios, facilitating precise FGS. NIR techniques can also aid pathological diagnosis in ex vivo specimens. Furthermore, combining photosensitizers with PSMA ligands allows localized photothermal (PTT) or photodynamic therapy (PDT) under NIR irradiation, producing heat or reactive oxygen species (ROS) to treat PCa. This review aims to extend the clinical success of radionuclide-based PSMA targeting by exploring advances in NIR-based FGS and phototherapy, presenting a promising new diagnostic and therapeutic approach.
Interaction with IGF1 overrides ANXA2-mediated anti-inflammatory functions of IGFBP5 in vivo
Authors: Fan Yan , Wu Yi-Jin , Guo Kai , Zhou Xia-Qing , Abulaiti Abulizi , Olatunji Opeyemi Joshua , Ji Cong-Lan , Zuo Jian
Published: January 2025

Background

IGFBP5 is a differentially expressed gene (DEG) between M1 and M2 macrophages. This study explained why it causes opposite effects in different circumstances.

Methods

Gene expression profiles of various cell subsets were compared by mining a public database. THP-1 cells were treated by siRNAs, recombinant IGFBP5, lipopolysaccharide (LPS), picropodophyllin, IGF1 or the combinations. Clinical implication of IGFBP5 changes was investigated using rheumatoid arthritis (RA) and acute lung injury (ALI) models. IGFBP5-bound and differential proteins were identified by Liquid Chromatography Mass Spectrometry method.

Results

IGFBP5 situated in the center of a network constructed by the DEGs of M0 and M1/2 macrophages. Its expression negatively correlated to inflammation in vitro. When IGFBP5 was silenced, monocytes released more IL-1β and IL-6. NF-κB downstream proteins were overexpressed. IGFBP5 interacted with ANXA2 directly. In ANXA2-silenced cells, it showed no anti-inflammatory effect. Monocytes of adjuvant-induced arthritis rats and RA patients expressed less IGFBP5 than normal controls, but its blood levels increased significantly. Adipocytes secreted large amounts of IGFBP5. This secretion was reinforced by the above sera. IGFBP5 decreased in ALI mice’s blood, while its supplement exacerbated inflammation. By binding to IGF1, IGFBP5 prevented its interaction with IGF1R. An IGF1R inhibitor picropodophyllin antagonized functions of IGF1/IGF1R too, but didn’t reinforce the effects of IGFBP5.

Conclusion

IGFBP5 eases inflammation by interacting with ANXA2, an activator of NF-κB; as an antagonist of IGF1/IGF1R, IGFBP5 may disrupt immune homeostasis in vivo, due to impairment of the latter’s anti-inflammatory functions; excessive IGFBP from adipocytes would be a pathogenic factor in certain diseases.
The stock status of narrow-barred Spanish mackerel, Scomberomorus commerson (Lacépède, 1800) in the southern Arabian Gulf: a case study using multiple length-based assessment approaches
Authors: AlMusallami Mohamed , Dimech Mark , Francis Franklin , Hamza Waleed , Henderson Aaron C. , Muzaffar Sabir Bin , Scarcella Giuseppe , Demirel Nazli , Pinello Dario
Published: January 2025

This study evaluates the stock status of Scomberomorus commerson in the southern Arabian Gulf, particularly in Abu Dhabi waters, using length-based models to address data limitations in fisheries assessments. The findings contribute critical insights into management practices using four length-based models, namely, LBI, LBB, LBSPR, and LIME, to analyze length frequency distributions from commercial catches between 2011 and 2023. The results indicate that the stock is overfished, with low proportions of mature and optimal-sized individuals and an excessive harvest of juveniles, as shown by the model estimates of F/M ratios and SPR values below target levels. From 2011 to 2019, the biomass declined sharply, but signs of recovery were evident by 2023 due to management actions, such as a gillnet ban introduced in 2019. The final-year estimates revealed a B/Bmsy ratio of 1.0 and F/M of 1.2, suggesting ongoing but reduced overfishing pressures. These outcomes underscore the importance of ongoing data-limited assessment methods in monitoring exploited stocks, providing evidence that restrictive measures have positively impacted biomass recovery. The convergence of outputs across methods, such as the indication of overfishing in S. commerson stocks, suggests that implementing multiple models enhances the robustness of management recommendations, including the enforcement of minimum size limits or reductions in fishing efforts or restriction of certain fishing methods. Overall, this study highlights the importance of using multiple models and choosing appropriate priors to improve the quality of stock assessments in data-limited fisheries.
RAPID: real-time automated plankton identification dashboard using Edge AI at sea
Authors: Pitois Sophie G. , Blackwell Robert E. , Close Hayden , Eftekhari Noushin , Giering Sarah L. C. , Masoudi Mojtaba , Payne Eric , Ribeiro Joseph , Scott James
Published: January 2025

We describe RAPID: a Real-time Automated Plankton Identification Dashboard, deployed on the Plankton Imager, a high-speed line-scan camera that is connected to a ship water supply and captures images of particles in a flow-through system. This end-to-end pipeline for zooplankton data uses Edge AI equipped with a classification (ResNet) model that separates the images into three broad classes: Copepods, Non-Copepods zooplankton and Detritus. The results are transmitted and visualised on a terrestrial system in near real time. Over a 7-days survey, the Plankton Imager successfully imaged and saved 128 million particles of the mesozooplankton size range, 17 million of which were successfully processed in real-time via Edge AI. Data loss occurred along the real-time pipeline, mostly due to the processing limitation of the Edge AI system. Nevertheless, we found similar variability in the counts of the three classes in the output of the dashboard (after data loss) with that of the post-survey processing of the entire dataset. This concept offers a rapid and cost-effective method for the monitoring of trends and events at fine temporal and spatial scales, thus making the most of the continuous data collection in real time and allowing for adaptive sampling to be deployed. Given the rapid pace of improvement in AI tools, it is anticipated that it will soon be possible to deploy expanded classifiers on more performant computer processors. The use of imaging and AI tools is still in its infancy, with industrial and scientific applications of the concept presented therein being open-ended. Early results suggest that technological advances in this field have the potential to revolutionise how we monitor our seas.
The efficacy of sequentially comprehensive treatment based on surgery in the treatment of keloids: a retrospective study
Authors: Yang Kun , Shi Mengdong , Li Shubo , Sun Jianning , Huo Ran , Fu Cong
Published: January 2025

Purpose

The objective of this study is to investigate the clinical efficacy of sequentially comprehensive treatment based on surgery and to furnish clinical evidence for the management of keloids.

Patients and methods

The patients with keloids were retrospectively analyzed who underwent surgery-based sequentially comprehensive treatment at the Plastic Surgery Department of Shandong Provincial Hospital from January 2018 to August 2021. The recurrence rate and incidence of adverse reactions were explored for all the included patients. For patients who were followed up for more than 1 year, the clinical response rate was calculated, and the chi-square test was used to analyze which factors could influence clinical effectiveness. Binary logistic analysis was performed on the factors with statistical differences. For patients with a follow-up time of less than 1-year, paired t-test was used to evaluate their Vancouver Scar Scale (VSS) before and after treatment.

Results

A total of 67 patients with 80 keloids were included. The clinical response rate was 81.5% (44/54), the recurrence rate was 15.0% (12/80) and the adverse reaction rate was 4.5% (3/67). The clinical response rate of tumor-type keloids (95.8%) was higher than that of inflammatory-type (70.0%) with a significant difference (P = 0.040). After treatment, the color, blood vessel distribution, softness, thickness, and VSS score were all decreased, and the difference was statistically significant (P < 0.001).

Conclusion

The sequentially comprehensive treatment based on surgery has a significant curative effect, as well as a low recurrence rate and a low adverse effect rate. The type of keloid has a statistically significant effect on clinical efficacy, and tumor-type keloids are more suitable for sequentially comprehensive treatment based on surgery.
Perceptions of final-year medical students and interns toward pursuing a career in critical care medicine
Authors: Ageel Mohammed
Published: January 2025

Background

Critical care medicine (CCM) faces challenges in attracting new physicians due to its demanding nature. Understanding medical students’ and interns’ perceptions of CCM is essential to address physician shortages and improve medical training.

Objective

To evaluate the factors influencing specialty selection and explore perceptions of final-year medical students and interns toward CCM at Jazan University.

Methods

A cross-sectional survey using convenience sampling was conducted. Participants completed questionnaire assessing factors influencing career choice and perceptions of CCM. Chi-squared tests analyzed the associations between demographic variables and perceptions.

Results

The study included 165 medical students (80% interns, 20% final-year students), primarily male (56.36%) and single (90.91%), with a mean age of 24.56 ± 1.46 years. The most influential career factors were job security (11.65%), enthusiasm/commitment (10.36%), and acceptable working hours (10.36%). Most students (81.82%) found CCM intellectually challenging, while 76.36% recognized its financial benefits. However, only 29.09% were considering a career in CCM, with concerns about work-life balance (34.54%) and family time (32.73%). Interns were more likely than final-year students to view limited working hours positively (p = 0.046), perceive greater colleague prestige (p = 0.035), expect private practice opportunities (p = 0.004), anticipate higher salaries (p < 0.001), and acknowledge the shortage of staff in CCM (p = 0.009).

Conclusion

There is a tension between the intellectual and financial benefits of CCM and its lifestyle demands. While students recognize its rewards, concerns about work-life balance and staffing challenges discourage many from pursuing the specialty. Tailored career counseling, mentorship, and addressing lifestyle concerns in medical curricula may improve interest in CCM.
Effect of an individualized bismuth quadruple regimen guided by 10-day or 14-day antibiotic susceptibility testing for first-line eradication treatment of Helicobacter pylori in Ningxia, China
Authors: Su Xiaoming , Deng Yanhong , Chen Xianmei , Li Yanling , Hao Qian , Tang Yuanyuan , Mu Rui , Wu Yuting , Zhou Yan , Hu Shengjuan
Published: January 2025

Introduction

Helicobacter pylori (H. pylori) is becoming more resistant to antibiotics, and the implementation of individualized therapy is highly valuable for its eradication. This study aimed to investigate the efficacy and safety of individualized treatment guided by antibiotic susceptibility testing (AST) with a 10-day or 14-day course for the eradication of H. pylori.

Methods

This was a prospective, open-label, single-center, quasi-randomized trial in which 220 participants were randomized into groups based on AST results as AST-10-day (n = 98) and AST-14-day (n = 112) treatment groups. All participants were retested for a 14-carbon urease breath test at weeks 4–8 after the end of the treatment.

Results

The primary resistance rates of H. pylori to metronidazole, levofloxacin, clarithromycin, and amoxicillin were 94.1% (207/220), 42.7% (95/220), 41.4% (91/220), and 0.9% (2/220), respectively; however, no resistance to furazolidone and tetracycline was observed. In the AST-10-day and AST-14-day groups, the intention-to-treat (ITT) eradication rates were 89.8% (88/98) and 90.2% (110/122), respectively, with no statistically significant difference (p = 0.928). The per-protocol (PP) eradication rates were 92.6% (88/95) and 98.2% (110/112), respectively, with a statistically significant difference (p = 0.049). The incidence rates of adverse events (AEs) in the AST-10-day and AST-14-day groups were 6.3% (6/95) and 7.2% (8/112), respectively, with no statistically significant difference (p = 0.813). No statistically significant difference was observed in compliance between the two groups (p = 0.467).

Conclusion

Both 10-day and 14-day AST guided individualized therapy can achieve satisfactory eradication effect. Compared with the 14-day regimen, the 10-day regimen has similar eradication rate and incidence of adverse events and compliance but shorter duration and lower cost.
Artificial intelligence-powered innovations in periodontal diagnosis: a new era in dental healthcare
Authors: Jundaeng Jarupat , Chamchong Rapeeporn , Nithikathkul Choosak
Published: January 2025

Background

The aging population is increasingly affected by periodontal disease, a condition often overlooked due to its asymptomatic nature. Despite its silent onset, periodontitis is linked to various systemic conditions, contributing to severe complications and a reduced quality of life. With over a billion people globally affected, periodontal diseases present a significant public health challenge. Current diagnostic methods, including clinical exams and radiographs, have limitations, emphasizing the need for more accurate detection methods. This study aims to develop AI-driven models to enhance diagnostic precision and consistency in detecting periodontal disease.

Methods

We analyzed 2,000 panoramic radiographs using image processing techniques. The YOLOv8 model segmented teeth, identified the cemento-enamel junction (CEJ), and quantified alveolar bone loss to assess stages of periodontitis.

Results

The teeth segmentation model achieved an accuracy of 97%, while the CEJ and alveolar bone segmentation models reached 98%. The AI system demonstrated outstanding performance, with 94.4% accuracy and perfect sensitivity (100%), surpassing periodontists who achieved 91.1% accuracy and 90.6% sensitivity. General practitioners (GPs) benefitted from AI assistance, reaching 86.7% accuracy and 85.9% sensitivity, further improving diagnostic outcomes.

Conclusions

This study highlights that AI models can effectively detect periodontal bone loss from panoramic radiographs, outperforming current diagnostic methods. The integration of AI into periodontal care offers faster, more accurate, and comprehensive treatment, ultimately improving patient outcomes and alleviating healthcare burdens.
Retinal biomarkers for the risk of Alzheimer’s disease and frontotemporal dementia
Authors: Wang Ruihan , Cai Jiajie , Gao Yuzhu , Tang Yingying , Gao Hui , Qin Linyuan , Cai Hanlin , Yang Feng , Ren Yimeng , Luo Caimei , Feng Shiyu , Yin Hongbo , Zhang Ming , Luo Chunyan , Gong Qiyong , Xiao Xiong , Chen Qin
Published: January 2025

Purpose

Differentiating between Alzheimer’s disease (AD) and frontotemporal dementia (FTD) can be challenging due to overlapping cognitive and behavioral manifestations. Evidence regarding non-invasive and early-stage biomarkers remains limited. Our aim was to identify retinal biomarkers for the risk of AD and FTD in populations without dementia and explore underlying brain structural mechanisms.

Methods

We included a total of 3,0573 UK Biobank participants without dementia, ocular disorders, and diabetes who underwent baseline retinal optical coherence tomography (OCT) imaging. Cox proportional hazards models were used to estimate the associations between macular OCT parameters and the risk of AD and FTD. Mediation analysis was used to explore the underlying mechanisms affected by brain structures.

Results

The mean age at recruitment was 55.27, and 46.10% of the participants were male. During a mean follow-up of 9.15 ± 2.59 years, 148 patients with AD and eight patients with FTD were identified. Reduced thickness of the ganglion cell-inner plexiform layer (GC-IPL) at baseline was associated with an increased risk of AD (HR, 1.033; 95% CI, 1.001–1.066; P = 0.044), while thinner retinal pigment epithelial in the inner superior subfield at baseline was associated with an elevated risk of FTD (HR, 1.409; 95% CI, 1.060–1.871; P = 0.018). Structurally abnormal visual pathways, including cortical and subcortical gray matter volumes, as well as white matter integrity, mediated the association between the GC-IPL thickness and AD risk.

Conclusion

Our findings provide preliminary empirical support for a relationship between prodromal changes in retinal layers and a higher risk of AD or FTD, suggesting that macular OCT may serve as a non-invasive, sensitive biomarker of high-risk years before the onset of dementia.
The correlation between intracranial atherosclerosis and white matter hyperintensities in cerebral small vessel disease: a high-resolution magnetic resonance imaging study
Authors: Zhang Gui-Song , Bu Wei , Meng Ling-Hui , Li Wen-Jun , Dong Yu-Juan , Cao Xiao-Yun , Gao Qi , Zhang Xuan-Ye , Ren Hui-Ling
Published: January 2025

Objective

Recent studies have indicated a close relationship between intracranial arterial stenosis and white matter hyperintensities (WMHs), but few have reported on the correlation between the characteristics of intracranial arterial wall plaques and WMHs. The aim of this study was to comprehensively assess the correlation between intracranial atherosclerosis plaques and WMHs using 3.0T high-resolution magnetic resonance imaging (HR-MRI).

Patients and methods

Ninety-two ischemic stroke patients with middle cerebral artery (MCA) stenosis <50% on cranial magnetic resonance angiography (MRA) underwent conventional MRI and HR-MRI examinations. T2-weighted fluid-attenuated inversion recovery (T2-FLAIR) images were processed using 2D VBNeT automatic segmentation technology to segment WMH volume. HR-MRI images were analyzed using ImageJ software to evaluate the luminal area, outer wall area, plaque distribution, luminal stenosis rate, remodeling patterns, and other plaque parameters at the stenosis site and reference points of the MCA M1 segment. The correlation between the presence of plaques, plaque distribution, luminal stenosis rate, T1 hyperintensity, remodeling patterns, remodeling ratio (RR), eccentric plaques, and plaque burden with the volume of cerebral WMHs was analyzed.

Results

Compared with the no-plaque group, the plaque group had significantly higher age, male ratio, total WMH volume, periventricular WMH (PVWMH) volume, deep WMH (DWMH) volume, and juxtacortical WMH (JCWMH) volume (all p < 0.05). The Kruskal-Wallis H test showed that patients with plaques on the superior and dorsal sides of the MCA M1 segment had higher levels of total WMH volume, PVWMH volume, DWMH volume, and JCWMH volume than patients with plaques on the inferior and ventral sides (all p < 0.05). Age, diabetes, previous stroke events, plaque distribution, positive remodeling, eccentric plaques, and RR were positively correlated with total WMH volume, PVWMH volume, and JCWMH volume (all p < 0.05). The presence of plaques, plaque distribution, and positive remodeling were independent risk factors for total WMH volume (all p < 0.05).

Conclusion

The presence of intracranial atherosclerotic plaques, plaque distribution, and positive remodeling are closely associated with increased cerebral WMHs burden in patients with ischemic stroke, which further supports the relationship between large artery atherosclerosis and CSVD.
Effects of physiotherapy on degenerative cerebellar ataxia: a systematic review and meta-analysis
Authors: Matsugi Akiyoshi , Bando Kyota , Kondo Yuki , Kikuchi Yutaka , Miyata Kazuhiro , Hiramatsu Yuichi , Yamanaka Yuya , Tanaka Hiroaki , Okuda Yuta , Haruyama Koshiro , Yamasaki Yuichiro
Published: January 2025

Background

Evidence of the effectiveness of physiotherapy, including muscle strength training, coordination training, aerobic exercise, cycling regimen, balance training, gait training, and activity of daily living training, in patients with degenerative cerebellar ataxia (DCA) was insufficient for clinical decision making. We aimed to explore clinical outcomes and examine the parameters associated with physical impairment and activity in people with DCA based on preregistration (PROSPERO: CRD42024493883).

Methods

The PubMed, Cochrane Library, CHINAL, and PEDro databases were searched for relevant randomized controlled trials (RCTs). Data extraction, quality assessment, and heterogeneity analyses were conducted. The Grading of Recommendations Assessment, Development, and Evaluation framework (GRADE) was used to assess the quality of evidence, and a meta-analysis was performed.

Results

Eighteen RCTs, which included 398 participants, showed a serious risk of bias (RoB) and low certainty of evidence for this primary outcome. For meta-analysis, 315 patients assessed based on the Scale for Assessment and Rating of Ataxia (SARA) were included. Overall, physiotherapy significantly reduced SARA scores (MD = −1.41, [95% CI: −2.16, −0.66]); the subgroup analysis showed that the following interventions exerted significant effects: multi-aspect training program (5 studies, MD = −1.59, [95% CI: −5.15, −0.03]), balance training (3 studies, MD = −1.58, [95% CI: −2.55, −0.62]), and aerobic training (3 studies, MD = −1.65, [95% CI: −2.53, −0.77]). By contrast, vibration (2 studies, MD = −0.56, [95% CI: −2.05, 0.93]) and dual-task training (1 study, MD = 0.24, [95% CI: −6.4, 6.88]) exhibited no significant effects.

Conclusion

Physical therapy, especially multi-aspect physical therapy such as muscle strengthening, coordination training, gait training, and ADL training, may reduce DCA symptoms. Further, balance and aerobic training can be added to the program. However, the estimated effect size may change in future studies because of the serious RoB, very low certainty of evidence, and high heterogeneity with SARA as the primary outcome. High-quality RCTs are required to establish evidence for the effectiveness of physical therapy in patients with DCA.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=493883, identifier: CRD42024493883.
An ictogenic marker in the mesial temporal epilepsy and its temporal evolutionary features
Authors: Lu Hongjuan , Yang Haoran , Zhang Wei , Liu Xingzhou , Sun Wei
Published: January 2025

Objective

To observe and measure the morphological and temporal evolutionary features of the hypersynchronous (HYP) pattern in the mesial temporal seizure.

Methods

The HYP patterns during preictal and interictal states of 16 mesial temporal epileptic patients were analyzed. The wave components of the HYP transients were firstly observed and measured. The dynamic deformations and parameter changes of the components were further analyzed along the preictal-ictal axis. The difference of emergence rate of HYP transients and typical interictal spike during interictal periods was also compared.

Results

The HYP transients were invariably composed of slow-wave proper, sharp wave and post-slow component among studied patients for all the 93 seizures. During preictal epoch, all of the seizures incorporated present evolutionary manner of type 1 characterized by smooth modification of HYP transients in morphology, including gradual shortening of the inter-transient interval, increase of amplitude and time duration of slow-wave proper and sharp wave, amplitude decrease of the post-slow component, as well as amplitude increases of ripple and fast ripple, and 2/3 seizures showed some more sophisticated transitional manners (type 2) following type 1, including reduction in amplitude with decrease of inter-transient intervals, superimposed or followed by the emergent low amplitude rhythmic activities, or both of them. The HYP transients and typical interictal spikes were found to mutually “repelling” each other in interictal period.

Conclusion

The HYP transients showed a combinational feature and temporal evolution manners during preictal state. The emergence of HYP transients in cluster reflects the transitional trend from interictal to ictal state.

Significance

HYP should be viewed as an index of ictogenesis in the mesial temporal seizure.
Interplay of epilepsy and long-term potentiation: implications for memory
Authors: Marin-Castañeda Luis A. , Pacheco Aispuro Gerónimo , Gonzalez-Garibay Guillermo , Martínez Zamora Carlos Alejandro , Romo-Parra Hector , Rubio-Osornio Moisés , Rubio Carmen
Published: January 2025

The interplay between long-term potentiation (LTP) and epilepsy represents a crucial facet in understanding synaptic plasticity and memory within neuroscience. LTP, a phenomenon characterized by a sustained increase in synaptic strength, is pivotal in learning and memory processes, particularly in the hippocampus. This review delves into the intricate relationship between LTP and epilepsy, exploring how alterations in synaptic plasticity mechanisms akin to those seen in LTP contribute to the hyperexcitable state of epilepsy. This state is conceptualized as a dysregulation between LTP and LTD (Long-term depression), leading to pathologically enhanced synaptic efficacy. Additionally, the role of neuroinflammation in both LTP and epilepsy is examined, highlighting how inflammatory mediators can influence synaptic plasticity. The dual role of neuroinflammatory pathways, enhancing or inhibiting LTP, is a focal area of ongoing research. The significance of various signaling pathways, including the MAPK, mTOR, and WNT/β-catenin pathways, in the modulation of synaptic plasticity and their relevance in both LTP and epilepsy. These pathways are instrumental in memory formation, consolidation, and epileptogenesis, illustrating a complex interaction between cellular mechanisms in the nervous system. Lastly, the role of calcium signaling in the relationship between LTP and epilepsy is scrutinized. Aberrant calcium signaling in epilepsy leads to an enhanced, yet pathologically altered, LTP. This dysregulation disrupts normal neural pathways, potentially leading to cognitive dysfunction, particularly in memory encoding and retrieval. The review emphasizes the need for targeted interventions in epilepsy that address cognitive functions alongside seizure control.
A novel muscle network approach for objective assessment and profiling of bulbar involvement in ALS
Authors: Rong Panying , Heidrick Lindsey , Pattee Gary
Published: January 2025

Introduction

As a hallmark feature of amyotrophic lateral sclerosis (ALS), bulbar involvement significantly impacts psychosocial, emotional, and physical health. A validated objective marker is however lacking to characterize and phenotype bulbar involvement, positing a major barrier to early detection, progress monitoring, and tailored care. This study aimed to bridge this gap by constructing a multiplex functional mandibular muscle network to provide a novel objective measurement tool of bulbar involvement.

Methods

A noninvasive electrophysiological technique—surface electromyography—was combined with graph network analysis to extract 48 features measuring the regulatory mechanisms, connectivity, integration, segregation, assortativity, and lateralization of the functional muscle network during a speech task. These features were clustered into 10 interpretable latent factors. To evaluate the utility of the muscle network as a bulbar measurement tool, a heterogenous ALS cohort, consisting of eight individuals with overt clinical bulbar symptoms and seven without, along with 10 neurologically healthy controls, was employed to train and validate statistical and machine learning algorithms to assess the disease effects on the network features and the relation of the network performance to the current clinical diagnostic standard and behavioral patterns of bulbar involvement.

Results

Significant disease effects were found on most network features. The most robust effects were manifested by reduced and more variable myoelectric activities, and reduced functional connectivity and integration of the muscle network. The 10 latent factors (1) demonstrated acceptably high efficacy for detecting bulbar neuromuscular changes across all clinically confirmed symptomatic cases and clinically silent prodromal cases (area under the curve = 0.89–0.91; F1 score = 0.85–0.87; precision = 0.84–0.86; recall = 0.87–0.88); and (2) selectively correlated with clinically meaningful behavioral patterns (conditional R2 = 0.45–0.81).

Conclusion

The functional muscle network shows promise for an objective quantifiable measurement tool to improve early detection and profiling of bulbar involvement across the prodromal and symptomatic stages. This tool has various strengths, including the use of a clinically readily available noninvasive instrument, fully automated data processing and analytics, and generation of interpretable objective outcome measures (i.e., latent factors), together rendering it highly scalable in routine clinical practice for assessing and monitoring of bulbar involvement.
Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor
Authors: Pereira Neto Ananias , Barros Fabrício J. B.
Published: January 2025

Introduction

Wavelet thresholding techniques are crucial in mitigating noise in data communication and storage systems. In image processing, particularly in medical imaging like MRI, noise reduction is vital for improving visual quality and accurate analysis. While existing methods offer noise reduction, they often suffer from limitations like edge and texture loss, poor smoothness, and the need for manual parameter tuning.

Methods

This study introduces a novel adaptive wavelet thresholding technique for noise reduction in brain MRI. The proposed method utilizes a linear prediction factor to adjust the threshold adaptively. This factor leverages temporal information and features from both the original and noisy images to determine a weighted threshold. This dynamic thresholding approach aims to selectively reduce or eliminate noise coefficients while preserving essential image features.

Results

The proposed method was rigorously evaluated against existing state-of-the-art noise reduction techniques. Experimental results demonstrate significant improvements in key performance metrics, including mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM).

Discussion

The proposed adaptive thresholding technique effectively addresses the limitations of existing methods by providing a more efficient and accurate noise reduction approach. By dynamically adjusting the threshold based on image-specific characteristics, this method effectively preserves image details while effectively suppressing noise. These findings highlight the potential of the proposed method for enhancing the quality and interpretability of brain MRI images.
Altered static and dynamic spontaneous brain activity in patients with dysthyroid optic neuropathy: a resting-state fMRI study
Authors: Lu Jinling , Hu Hao , Zhou Jiang , Jiang Wenhao , Pu Xiongying , Chen Huanhuan , Xu Xiaoquan , Wu Feiyun
Published: January 2025

Purpose

To investigate static and dynamic brain functional alterations in dysthyroid optic neuropathy (DON) using resting-state functional MRI (rs-fMRI) with the amplitude of low-frequency fluctuation (ALFF) and regional homogeneity (ReHo).

Materials and methods

Fifty-seven thyroid-associated ophthalmopathy (TAO) patients (23 DON and 34 non-DON) and 27 healthy controls (HCs) underwent rs-fMRI scans. Static and dynamic ALFF (sALFF and dALFF) and ReHo (sReHo and dReHo) values were compared between groups. The support-vector machine (SVM) classification method was used to examine the diagnostic performance of the identified models.

Results

Compared to non-DON patients, DON patients showed decreased sALFF in the bilateral lingual gyrus (LING) and right cuneus (CUN), alongside increased sALFF in the bilateral medial part of the superior frontal gyrus, right dorsolateral part of the superior frontal gyrus (SFGdor), and right precentral gyrus. DON patients also exhibited decreased dALFF in the left LING and right CUN, together with increased dALFF in the right orbital part of the middle frontal gyrus and right SFGdor in comparison to non-DON patients. Meanwhile, DON patients had lower sReHo in the right LING, and higher sReHo and dReHo in the right supramarginal gyrus compared to non-DON patients. When detecting DON, the dALFF model showed optimal diagnostic performance (AUC 0.9987).

Conclusion

Dysthyroid optic neuropathy patients exhibited both static and dynamic brain functional alterations in visual, cognitive, and emotion-related brain regions, deepening our current understanding of the underlying neural mechanisms of this disease. Rs-fMRI-based metrics, especially dALFF, may serve as relevant neuroimaging markers for diagnosing DON.
Association between lipid accumulation product and chronic obstructive pulmonary disease: a cross-sectional study based on U.S. adults
Authors: Hua Xingshi , Liu Ying , Xiao Xiaoyu
Published: January 2025

Background

Lipid Accumulation Product (LAP), which is derived from measurements of waist circumference and triglyceride (TG) levels, serves as a comprehensive indicator of lipid accumulation. Emerging research indicates that lipid accumulation dysfunction might significantly contribute to the pathogenesis of Chronic Obstructive Pulmonary Disease (COPD). Nevertheless, the investigation into the association between LAP and COPD risk is still insufficient, particularly in population-based research. This research intends to examine the possible correlation between LAP and the likelihood of developing COPD.

Methods

This study, designed as a cross-sectional analysis, made use of data gathered from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2017 to 2020, encompassing a total of 7,113 eligible participants. LAP, the exposure variable, was calculated using waist circumference and triglyceride concentration. COPD diagnosis was determined using participants’ self-reported information. To explore the association between LAP and COPD, multivariate logistic regression models were applied, and smoothing curve fitting was employed to examine any potential nonlinear patterns. Further analysis included stratified subgroup evaluations to assess how variables such as sex, smoking habits, and alcohol intake might impact the relationship between LAP and COPD.

Results

The findings indicated a significant increase in COPD risk with each one-unit rise in ln LAP, as evidenced by an Odds Ratio (OR) of 1.16 [95% Confidence Interval (CI): 1.04–1.30, p < 0.01]. Furthermore, a quartile-based analysis revealed that individuals in the highest ln LAP category had a considerably higher likelihood of developing COPD compared to those in the lowest category, with an OR of 1.35 (95% CI: 1.04–1.75, P for trend <0.01). Furthermore, the smoothing curve fitting identified a nonlinear and positive association between ln LAP and COPD, suggesting a steeper increase in risk as ln LAP values rise. Subgroup analysis suggested that this association remained fairly consistent across various demographic groups.

Conclusion

This study found a significant link between higher LAP levels and an elevated risk of COPD, with the association displaying a nonlinear pattern. As a marker of lipid accumulation abnormalities, LAP may serve as a valuable tool for assessing COPD risk and could inform strategies for early identification and targeted clinical management.
Salt use patterns and heavy metal urinary excretion
Authors: Zhang Shuai , Tang Hanhan , Zhou Minglian , Pan Linqing
Published: January 2025

Background

Salt usage patterns have been associated with a risk of multiple diseases; however, their relationship with heavy metal exposure has not been extensively studied.

Methods

This study analyzed survey data from 11,574 NHANES participants. Weighted linear regression models were used to examine the relationship between the type of salt used by participants, the frequency of adding salt at the table, and the frequency of adding regular or seasoned salt to cooking or food preparation, and urinary concentrations of 10 heavy metals. Multiple sensitivity analyses were also performed.

Results

The weighted regression analysis indicated that participants’ salt usage patterns were associated with an increased urinary excretion of certain heavy metals. Specifically, regarding the type of salt used, compared to regular salt, the use of salt substitutes was significantly positively correlated with urinary molybdenum (Mo) levels, while not using salt or substitutes at the table was significantly positively correlated with urinary levels of both Mo and arsenic (As). In terms of the frequency of adding regular salt at the table, frequent addition compared to rarely adding salt was significantly positively correlated with urinary levels of cadmium (Cd), and antimony (Sb), while showing a significant negative correlation with urinary Mo levels. Additionally, when examining the frequency of using regular salt during cooking or food preparation, those who occasionally or very often added regular salt had significantly higher urinary levels of barium (Ba), cesium (Cs), and thallium (Tl) compared to those who never added regular salt during cooking. These associations remained stable in sensitivity analyses.

Conclusion

Our analysis revealed that participants’ salt usage patterns are associated with increased excretion of certain heavy metals, suggesting possible increased exposures to these metals. While these findings are concerning, they require validation in other populations and should be confirmed through prospective studies designed based on this hypothesis.
A stacking ensemble system for identifying the presence of histological variants in bladder carcinoma: a multicenter study
Authors: Peng Canjie , He Quanhao , Lv Fajin , Jiang Qing , Chen Yong , Wei Zongjie , Xv Yingjie , Liao Fangtong , Xiao Mingzhao
Published: January 2025

Purpose

To create a system to enable the identification of histological variants of bladder cancer in a simple, efficient, and noninvasive manner.

Material and methods

In this multicenter diagnostic study, we retrospectively collected basic information and CT images about the patients concerned from three hospitals. An interactive deep learning-based bladder cancer image segmentation framework was constructed using the Swin UNETR algorithm for further features extraction. Radiomic features and deep learning features were extracted for further stacking ensemble system construction. The segmentation model’ performance was assessed by using Dice Similarity (Dice) metrics, Intersection Over Union (IOU), Sensitivity (SEN) and Specificity (SPE). To evaluate the system’s performance, we used the Receiver Operating Characteristics (ROC) curve, the Accuracy Score (ACC) and Decision Curve Analysis (DCA).

Results

410 patients from one hospital were included in the training set, while 60 patients from two other hospitals were included in the test set. A total of 50 features comprising 46 radiomic features and 4 deep learning features were finally retained for further stacking ensemble model building. The interactive segmentation model and system exhibited excellent performance in both training (Dice = 0.78, IOU = 0.65, SEN = 0.83, SPE = 1.00, AUC = 0.940, ACC = 0.868) and testing datasets (Dice = 0.80, IOU = 0.67, SEN = 0.89, SPE = 1.00, AUC = 0.905, ACC = 0.900).

Conclusion

We successfully constructed a stacking ensemble machine learning model for early, non-invasive identification of histological variants in bladder cancer which will help urologists make clinical decisions.