Neutral effect of Zishen Yutai Pill on frozen-thawed embryo transfer: a propensity score matching study.

Objective: To investigate whether using Zishen Yutai Pills (ZYP) following embryo transfer would affect the live birth rate in frozen-thawed embryo transfer (FET) cycles. Methods: A retrospective analysis was performed on 15044 FET cycles in the Reproductive Medicine Center of The Affiliated Chenggong Hospital of Xiamen University from January 2013 to December 2020. Patients who used Zishen Yutai Pills were defined as Zishen Yutai Pills Group (ZYP, n=2735), while patients who did not use them were defined as Non- Zishen Yutai Pills Group (Non-ZYP, n=12309). The propensity score matching method was used to control for potential confounders between the two groups, and logistic regression analysis was also used to assess whether using ZYP would affect the live birth rate. Results: After propensity score matching, basic characteristics were similar between the two groups. Using ZYP did not increase the pregnancy rate (51.5% vs. 52.7%, P=0.372), and live birth rate (43.0% vs. 44.7%, P=0.354). This was also confirmed by the logistic regression analysis results (OR=0.95, 95%CI=0.85-1.06). In the subgroup analysis of the endometrial preparation protocols, however, it was found that the use of ZYP in patients with natural cycles increased the live birth rate (47.4% vs. 41.5%, P=0.004). A significant interaction between endometrial preparation and ZYP was found (OR=1.38, 95%CI=1.07-1.79) in the multivariate model. Conclusion: The use of ZYP may not improve the live birth rate of unselected patients in FET cycles. However, a future study is needed on the effect of ZYP in natural cycles for endometrial preparation.

The robotic-surgery propositional bank.

Robot-assisted minimally invasive surgery is the gold standard for the surgical treatment of many pathological conditions since it guarantees to the patient shorter hospital stay and quicker recovery. Several manuals and academic papers describe how to perform these interventions and thus contain important domain-specific knowledge. This information, if automatically extracted and processed, can be used to extract or summarize surgical practices or develop decision making systems that can help the surgeon or nurses to optimize the patient's management before, during, and after the surgery by providing theoretical-based suggestions. However, general English natural language understanding algorithms have lower efficacy and coverage issues when applied to domain others than those they are typically trained on, and a domain specific textual annotated corpus is missing. To overcome this problem, we annotated the first robotic-surgery procedural corpus, with PropBank-style semantic labels. Starting from the original PropBank framebank, we enriched it by adding new lemmas, frames and semantic arguments required to cover missing information in general English but needed in procedural surgical language, releasing the Robotic-Surgery Procedural Framebank (RSPF). We then collected from robotic-surgery textbooks as-is sentences for a total of 32,448 tokens, and we annotated them with RSPF labels. We so obtained and publicly released the first annotated corpus of the robotic-surgical domain that can be used to foster further research on language understanding and procedural entities and relations extraction from clinical and surgical scientific literature.

A longitudinal multi-modal dataset for dementia monitoring and diagnosis.

Dementia affects cognitive functions of adults, including memory, language, and behaviour. Standard diagnostic biomarkers such as MRI are costly, whilst neuropsychological tests suffer from sensitivity issues in detecting dementia onset. The analysis of speech and language has emerged as a promising and non-intrusive technology to diagnose and monitor dementia. Currently, most work in this direction ignores the multi-modal nature of human communication and interactive aspects of everyday conversational interaction. Moreover, most studies ignore changes in cognitive status over time due to the lack of consistent longitudinal data. Here we introduce a novel fine-grained longitudinal multi-modal corpus collected in a natural setting from healthy controls and people with dementia over two phases, each spanning 28 sessions. The corpus consists of spoken conversations, a subset of which are transcribed, as well as typed and written thoughts and associated extra-linguistic information such as pen strokes and keystrokes. We present the data collection process and describe the corpus in detail. Furthermore, we establish baselines for capturing longitudinal changes in language across different modalities for two cohorts, healthy controls and people with dementia, outlining future research directions enabled by the corpus.

Reliable estrogen-related prognostic signature for uterine corpus endometrial carcinoma.

BACKGROUND: Uterine corpus endometrial carcinoma (UCEC) is a predominant gynecological malignancy worldwide. Overdosed estrogen exposure has been widely known as a crucial risk factor for UCEC patients. The purpose of this work is to explore crucial estrogen-related genes (ERGs) in UCEC. METHODS: UCEC scRNA-seq data, bulk RNA data, and ERGs were obtained from GEO, TCGA, and Molecular Signature Database, respectively. Differential expression analysis and cross analysis determined the candidate genes, and optimal genes in risk score were obtained after univariate Cox regression analysis, LASSO Cox regression analysis, and multivariate Cox regression analysis. The functional information was revealed by GO, KEGG, and GSVA enrichment analyses. CCK8 assay was used to detect the drug sensitivity. RESULTS: After cross analysis of the differentially expressed genes and the 8734 ERGs, 86 differentially expressed ERGs were identified in UCEC, which were significantly enriched in some immune related pathways and microbiota related pathways. Of them, the most optimal 8 ERGs were obtained to build prognostic risk score, including GAL, PHGDH, SLC7A2, HNMT, CLU, AREG, MACC1, and HMGA1. The risk score could reliably predict patient prognosis, and high-risk patients had worse prognosis. Higher HMGA1 gene expression exhibited higher sensitivity to Osimertinib. CONCLUSIONS: Predictive risk score based on 8 ERGs exhibited excellent prognostic value in UCEC patients, and high-risk patients had inferior survival. UCEC patients with distinct prognoses showed different tumor immune microenvironment.

Transcranial direct current stimulation as a potential remyelinating therapy: Visual evoked potentials recovery in cuprizone demyelination.

AIMS: Non-invasive neuromodulation by transcranial direct current stimulation (tDCS), owing to its reported beneficial effects on neuronal plasticity, has been proposed as a treatment to promote functional recovery in several neurological conditions, including demyelinating diseases like multiple sclerosis. Less information is available on the effects of tDCS in major pathological mechanisms of multiple sclerosis, such as demyelination and inflammation. To learn more about the latter effects, we applied multi-session anodal tDCS in mice exposed to long-term cuprizone (CPZ) diet, known to induce chronic demyelination. METHODS: Visual evoked potentials (VEP) and motor performance (beam test) were employed for longitudinal monitoring of visual and motor pathways in 28 mice undergoing CPZ diet, compared with 12 control (H) mice. After randomization, anodal tDCS was applied for 5 days in awake, freely-moving surviving animals: 12 CPZ-anodal, 10 CPZ-sham, 5H-anodal, 5 h-sham. At the end of the experiment, histological analysis was performed on the optic nerves and corpus callosum for myelin, axons and microglia/macrophages. KEY FINDINGS: CPZ diet was associated with significantly delayed VEPs starting at 4 weeks compared with their baseline, significant compared with controls at 8 weeks. After 5-day tDCS, VEPs latency significantly recovered in the active group compared with the sham group. Similar findings were observed in the time to cross on the beam test Optic nerve histology revealed higher myelin content and lower microglia/macrophage counts in the CPZ-Anodal group compared with CPZ-Sham. SIGNIFICANCE: Multiple sessions of anodal transcranial direct current stimulation (tDCS) in freely moving mice induced recovery of visual nervous conduction and significant beneficial effects in myelin content and inflammatory cells in the cuprizone model of demyelination. Altogether, these promising findings prompt further exploration of tDCS as a potential therapeutic approach for remyelination.

Construction, evaluation, and application of an electronic medical record corpus for cerebral palsy rehabilitation.

Objective: The electronic medical records (EMRs) corpus for cerebral palsy rehabilitation and its application in downstream tasks, such as named entity recognition (NER), requires further revision and testing to enhance its effectiveness and reliability. Methods: We have devised an annotation principle and have developed an EMRs corpus for cerebral palsy rehabilitation. The introduction of test-retest reliability was employed for the first time to ensure consistency of each annotator. Additionally, we established a baseline NER model using the proposed EMRs corpus. The NER model leveraged Chinese clinical BERT and adversarial training as the embedding layer, and incorporated multi-head attention mechanism and rotary position embedding in the encoder layer. For multi-label decoding, we employed the span matrix of global pointer along with softmax and cross-entropy. Results: The corpus consisted of 1405 EMRs, containing a total of 127,523 entities across six different entity types, with 24,424 unique entities after de-duplication. The inter-annotator agreement of two annotators was 97.57%, the intra-annotator agreement of each annotator exceeded 98%. Our proposed baseline NER model demonstrates impressive performance, achieving a F1-score of 93.59% for flat entities and 90.15% for nested entities in this corpus. Conclusions: We believe that the proposed annotation principle, corpus, and baseline model are highly effective and hold great potential as tools for cerebral palsy rehabilitation scenarios.

Transcriptomic changes in oligodendrocyte lineage cells during the juvenile to adult transition in the mouse corpus callosum.

The corpus callosum, a major white matter tract in the brain, undergoes age-related functional changes. To extend our investigation of age-related gene expression dynamics in the mouse corpus callosum, we compared RNA-seq data from 2 week-old and 12 week-old wild-type C57BL/6 J mice and identified the differentially expressed genes (e.g., Marcksl1, Chst3, C4b, Neat1, Ndrg1, Emid1, etc.) between these ages. Interestingly, we found that genes highly expressed in myelinating oligodendrocytes were upregulated in 12 week-old mice compared to 2 week-old mice, while genes highly expressed in oligodendrocyte precursor cells (OPCs) and newly formed oligodendrocytes were downregulated. Furthermore, by comparing these genes with the datasets from 20 week-old and 96 week-old mice, we identified novel sets of genes with age-dependent variations in the corpus callosum. These gene expression changes potentially affect key biological pathways and may be closely linked to age-related neurological disorders, including dementia and stroke. Therefore, our results provide an additional dataset to explore age-dependent gene expression dynamics of oligodendrocyte lineage cells in the corpus callosum.

Transcriptomic Profiles of AKAP12 Deficiency in Mouse Corpus Callosum.

A-kinase anchor protein 12 (AKAP12), a scaffold protein, has been implicated in the central nervous system, including blood-brain barrier (BBB) function. Although its expression level in the corpus callosum is higher than in other brain regions, such as the cerebral cortex, the role of AKAP12 in the corpus callosum remains unclear. In this study, we investigate the impact of AKAP12 deficiency by transcriptome analysis using RNA-sequencing (RNA-seq) on the corpus callosum of AKAP12 knockout (KO) mice. We observed minimal changes, with only 13 genes showing differential expression, including Akap12 itself. Notably, Klf2 and Sgk1, genes potentially involved in BBB function, were downregulated in AKAP12 KO mice and expressed in vascular cells similar to Akap12. These changes in gene expression may affect important biological pathways that may be associated with neurological disorders. Our findings provide an additional data set for future research on the role of AKAP12 in the central nervous system.

Adynamic spoken language in corpus callosum dysgenesis.

Corpus callosum dysgenesis (CCD) is a congenital brain malformation that occurs when the development of the corpus callosum is disrupted, either partially or completely. The cognitive outcomes in individuals with CCD vary greatly, but generally the neuropsychological profile is characterised by slow processing speed, poor transfer of interhemispheric sensory-motor information, and impaired complex problem solving. Core language skills are often preserved in CCD, but there is some evidence that complex language may be impaired. Thus, the current study sought to examine whether spontaneous speech output was reduced in a cohort of individuals with CCD compared to age-matched controls. We further explored a series of factors that may be contributing to poor spontaneous speech in CCD, such as difficulties generating, selecting, and sequencing ideas for expression, as well as apathy and slowed processing speed. A cohort of 25 individuals with CCD and 39 neurotypical controls were enrolled in this study. Participants completed a picture description task to measure spontaneous speech output, alongside a series of cognitive and language baseline tests. Verbal and nonverbal fluency tasks gauged idea generation and sequencing, and sentence-level selection tasks measured idea selection. We found that, despite having largely intact core language skills, individuals with CCD produced significantly less spontaneous speech on the picture description task than controls. This language profile may be described as "adynamic". Further, we found that poor spontaneous speech output in CCD was related to problems generating ideas for expression, as individuals with CCD performed below controls on the verbal and nonverbal fluency tasks. Exploratory analyses revealed that apathy and slowed processing speed may be contributing factors. Adynamia in CCD is a novel finding that may be an intervention target for improving communication skills in this population.

Microstructural Changes in the Corpus Callosum in Neurodegenerative Diseases.

The corpus callosum, the largest white matter structure in the brain, plays a crucial role in interhemispheric communication and cognitive function. This review examines the microstructural changes observed in the corpus callosum across various neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis (ALS). New neuroimaging studies, mainly those that use diffusion tensor imaging (DTI) and advanced tractography methods, were put together to show how changes have happened in the organization of white matter and the connections between them. Some of the most common ways the corpus callosum breaks down are discussed, including less fractional anisotropy, higher mean diffusivity, and atrophy in certain regions. The relationship between these microstructural changes and cognitive decline, motor dysfunction, and disease progression is explored. Additionally, we consider the potential of corpus callosum imaging as a biomarker for early disease detection and monitoring. Studies show that people with these disorders have lower fractional anisotropy and higher mean diffusivity in the corpus callosum, often in ways that are specific to the disease. These changes often happen before gray matter atrophy and are linked to symptoms, which suggests that the corpus callosum could be used as an early sign of neurodegeneration. The review also highlights the implications of these findings for understanding disease mechanisms and developing therapeutic strategies. Future directions, including the application of advanced imaging techniques and longitudinal studies, are discussed to elucidate the role of corpus callosum degeneration in neurodegenerative processes. This review underscores the importance of the corpus callosum in understanding the pathophysiology of neurodegenerative diseases and its potential as a target for therapeutic interventions.