OBJECTIVE: To observe the efficacy and safety of Tiaowei Jiannao acupuncture (acupuncture for regulating defensive qi and nourishing brain) for post-ischemic stroke insomnia (PISI). METHODS: A total of 96 patients with PISI were randomized into an acupuncture group (32 cases, 1 case was excluded), a medication group (32 cases, 1 case dropped out, 1 case was excluded) and a sham-acupuncture group (32 cases, 1 case dropped out, 1 case was excluded). In the acupuncture group, Tiaowei Jiannao acupuncture was applied at bilateral Shenmai (BL62), Zhaohai (KI6), Hegu (LI4), Taichong (LR3), and Baihui (GV20), Sishencong (EX-HN1), Yintang (GV24⁺), Shenting (GV24), once a day, 1-day interval was taken after 6-day treatment, for 3 weeks totally. In the medication group, eszopiclone tablet was given orally, 1-3 mg a time, once a day for 3 weeks. In the sham-acupuncture group, non-invasive sham acupuncture was applied, the acupoint selection, frequency and course of treatment were the same as the acupuncture group. Before treatment, after 2,3 weeks of treatment, the scores of Pittsburgh sleep quality index (PSQI), self-rating sleep scale (SRSS), National Institutes of Health Stroke scale (NIHSS), Hamilton depression scale-17 (HAMD-17) were observed; before and after treatment, the sleep parameters were recorded using polysomnography (PSG); and the efficacy and safety were evaluated after treatment in the 3 groups. RESULTS: After 2,3 weeks of treatment, the scores of PSQI, HAMD-17 and SRSS in the acupuncture group and the medication group, as well as the SRSS scores in the sham-acupuncture group were decreased compared with those before treatment (P<0.05); after 2 weeks of treatment, the NIHSS score in the acupuncture group was decreased compared with that before treatment (P<0.05); after 3 weeks of treatment, the NIHSS scores in the acupuncture group, the medication group and the sham-acupuncture group were decreased compared with those before treatment (P<0.05). After 3 weeks of treatment, the scores of PSQI, SRSS, HAMD-17 and NIHSS in the acupuncture group and the medication group, as well as the NIHSS score in the sham-acupuncture group were decreased compared with those after 2 weeks of treatment (P<0.05). After 2,3 weeks of treatment, the scores of PSQI, SRSS and HAMD-17 in the acupuncture group and the medication group were lower than those in the sham-acupuncture group (P<0.05), the NIHSS scores in the acupuncture group were lower than those in the medication group and the sham-acupuncture group (P<0.05); after 3 weeks of treatment, HAMD-17 score in the acupuncture group was lower than that in the medication group (P<0.05), the NIHSS score in the medication group was lower than that in the sham-acupuncture group (P<0.05). Compared before treatment, after treatment, the total sleep time was prolonged (P<0.05), the wake after sleep onset, sleep latency, and non-rapid eye movement (NREM) sleep latency were shortened (P<0.05), the sleep efficiency was improved (P<0.05), the number of awakenings was reduced (P<0.05), the percentage of rapid eye movement (REM%) and the percentage of NREM stage 1 (N1%) were decreased (P<0.05), the percentage of NREM stage 2 (N2%) and the percentage of NREM stage 3 (N3%) were increased (P<0.05) in the acupuncture group and the medication group; the sleep latency was shortened in the sham-acupuncture group (P<0.05). After treatment, the PSG indexes in the acupuncture group and the medication group were superior to those in the sham-acupuncture group (P<0.05); in the acupuncture group, the number of awakenings was less than that in the medication group (P<0.05), the REM% and N1% were lower than those in the medication group (P<0.05), the N2% and N3% were higher than those in the medication group (P<0.05). The total effective rate were 93.5% (29/31) and 90.0% (27/30) in the acupuncture group and the medication group respectively, which were higher than 10.0% (3/30) in the sham-acupuncture group (P<0.05). There was no serious adverse events in any of the 3 groups. CONCLUSION Tiaowei Jiannao acupuncture improves the insomnia symptoms in patients with ischemic stroke, improves the quality of sleep, increases the deep sleep, promotes the recovery of neurological function, and relieves the depression. It is effective and safe for the treatment of PISI.
Humans ; Acupuncture Therapy ; Male ; Sleep Initiation and Maintenance Disorders/physiopathology* ; Female ; Middle Aged ; Aged ; Acupuncture Points ; Treatment Outcome ; Adult ; Ischemic Stroke/complications* ; Stroke/complications* ; Sleep

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective:To explore the biomarkers associated with multiple myeloma in remission phase (MM-RP) in order to provide potential indicators for disease monitoring and prognostic evaluation.Methods:Bone marrow blood samples were prospectively collected from 9 newly diagnosed multiple myeloma (NDMM) patients and 9 MM-RP patients in Beijing Chaoyang Hospital of Capital Medical University from January to October 2020. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was performed for proteomic analysis in 3 independent experiments, each containing 3 paired NDMM and MM-RP samples. Differentially expressed proteins (DEP) consistently identified across all 3 experiments were considered potential MM-RP biomarkers. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) database were used for enrichment analyses of the biological functions of these potential biomarkers. Protein-protein interaction (PPI) networks were constructed using the STRING 11.5 database, and α-2-macroglobulin (α2M) was identified as a hub protein. The UCSC Xena database was utilized, and the overall survival (OS) of MM patients with high or low α2M expression [stratified by the average level of α2M transcriptome sequencing (RNA-seq) data] was analyzed by using Kaplan-Meier. A multivariate Cox proportional hazards model adjusted for age, International Staging System (ISS) stage and treatment regimen was employed to analyze the impact of α2M expression on OS of MM patients. The Human Protein Atlas (HPA) database was used to examine α2M mRNA expression patterns in 33 cancer types. The correlation of drug sensitivity [50% inhibiting concentration ( IC50)] with α2M expression was assessed using pharmacogenomic data from the GSCALite platform. Results:Among 104 proteins consistently identified in 3 proteomic experiments, 34 DEP were found between NDMM and MM-RP (∣fold change∣>1.0 and P < 0.05), including 25 upregulated DEP and 9 downregulated DEP in MM-RP. GO analysis showed that the identified MM-RP potential markers were mainly involved in biological processes such as complement activation and humoral immune response, and the molecular functions mainly involved serine hydrolase activity, serine peptidase activity, etc., and were mainly distributed in secretory granules, blood particles, and other parts; KEGG enrichment analysis showed that biomarkers were mainly enriched in the complement and coagulation cascade pathways. In the human α2M PPI network constructed using data from the STRING database, there were 10 proteins that interacted with α2M, with a connectivity of 7.82, and had direct interactions with 71% of the proteins in the network, the betweenness centrality value was 0.06, and the closeness centrality value was 1, indicating significant network centrality feature of α2M. In the constructed PPI network of α2M protein and DEP screened by proteomics, there were interactions between α2M protein and 11 MM-RP markers screened by proteomics, and the betweenness centrality value of α2M reached 0.50, the closeness centrality value was 0.67, indicating that α2M was at the core position of the PPI network. UCSC Xena analysis revealed that MM patients with low α2M expression (523 cases) had worse OS than those with high expression (336 cases) ( P =0.024). Multivariate Cox regression analysis confirmed that low α2M expression was an independent risk factor for poor OS (compared with high α2M expression: HR = 0.726, 95% CI: 0.550-0.960, P = 0.024). HPA database analysis demonstrated that the α2M expression levels were variable in different types of cancer, its level in glioblastoma multiforme, clear cell renal cell carcinoma, and stomach adenocarcinoma was higher than that in normal tissues (all P < 0.05), and its level in urothelial carcinoma, breast cancer and cervical squamous cell carcinoma was lower than that in normal tissues (all P < 0.05). GSCALite analysis revealed negative correlations between α2M expression level and IC50 values of B-Raf kinase inhibitors, B-Raf V600E inhibitors and dabrafenib mesylate. Conclusions:α2M expression level in MM-RP patients is lower than that in NDMM patients, and its expression level may be related to the prognosis of patients, which is expected to become a novel biomarker reflecting the disease activity of MM.

In September 2024,the updated version of Chinese Clinical Practice Guidelines for Hypertension was published.This version of guidelines comprises 44 pivotal clinical inquiries and 99 recommendations pertaining to the diagnosis,assessment,and management of hypertension.The new version of the guidelines emphasizes moving the line of defense of antihypertensive treatment forward,strengthening antihypertensive treatment,reflecting the concept of strengthening initial prevention and primary prevention,and stressing the importance of lifestyle interven-tion and blood pressure monitoring,which is of great guiding value and practical significance to clinical work.This paper interprets the management strategy of hypertension patients from the perspective of nursing practice,in order to provide evidence-based guidance for clinical nursing work.

Objective To propose a method for mitigate the impact of anomaly points(such as dust,bubbles,scratches on the chip surface,and minor indentations)in images on the results of digital droplet PCR(ddPCR)detection to achieve high-throughput,stable,and accurate detection.Methods We propose a Filter Faster R-CNN ddPCR detection model,which employs Faster R-CNN to generate droplet prediction boxes followed by removing the anomalies within the positive droplet prediction boxes using an outlier filtering module(Filter).Using a plasmid carrying a norovirus fragment as the template,we established a ddPCR dataset for model training(2462 instances,78.56%)and testing(672 instances,21.44%).Ablation experiments were performed to test the effectiveness of 3 filtering branches of the Filter for anomaly removal on the validation dataset.Comparative experiments with other ddPCR droplet detection models and absolute quantification experiments of ddPCR were conducted to assess the performance of the Filter Faster R-CNN model.Results In low-dust and dusty environments,the Filter Faster R-CNN model achieved detection accuracies of 98.23%and 88.35%for positive droplets,respectively,with composite F1 scores reaching 99.15%and 99.14%,obviously superior to the other models.The introduction of the filtering module significantly enhanced the positive accuracy of the model in dusty environments.In the absolute quantification experiments,a regression line was plotted using the results from commercial flow cytometry equipment as the standard concentration.The results show a regression line slope of 1.0005,an intercept of-0.025,and a determination coefficient of 0.9997,indicating high consistency between the two results.Conclusion The ddPCR detection technique using the Filter Faster R-CNN model provides a robust detection method for ddPCR under various environmental conditions.

Objective To propose a method for mitigate the impact of anomaly points(such as dust,bubbles,scratches on the chip surface,and minor indentations)in images on the results of digital droplet PCR(ddPCR)detection to achieve high-throughput,stable,and accurate detection.Methods We propose a Filter Faster R-CNN ddPCR detection model,which employs Faster R-CNN to generate droplet prediction boxes followed by removing the anomalies within the positive droplet prediction boxes using an outlier filtering module(Filter).Using a plasmid carrying a norovirus fragment as the template,we established a ddPCR dataset for model training(2462 instances,78.56%)and testing(672 instances,21.44%).Ablation experiments were performed to test the effectiveness of 3 filtering branches of the Filter for anomaly removal on the validation dataset.Comparative experiments with other ddPCR droplet detection models and absolute quantification experiments of ddPCR were conducted to assess the performance of the Filter Faster R-CNN model.Results In low-dust and dusty environments,the Filter Faster R-CNN model achieved detection accuracies of 98.23%and 88.35%for positive droplets,respectively,with composite F1 scores reaching 99.15%and 99.14%,obviously superior to the other models.The introduction of the filtering module significantly enhanced the positive accuracy of the model in dusty environments.In the absolute quantification experiments,a regression line was plotted using the results from commercial flow cytometry equipment as the standard concentration.The results show a regression line slope of 1.0005,an intercept of-0.025,and a determination coefficient of 0.9997,indicating high consistency between the two results.Conclusion The ddPCR detection technique using the Filter Faster R-CNN model provides a robust detection method for ddPCR under various environmental conditions.

Pancreatic neuroendocrine neoplasm (pNEN) is the most common neuroendocrine tumor in the digestive system. The heterogeneity of pNEN makes it difficult to summarize diagnostic and therapeutic strategies only based on clinical experience. Over the past 20 years, basic research on pNEN has been well developed, which in turn has promoted its theoretical system and diagnostic and therapeutic strategies, significantly improving the therapeutic efficacy of pNEN. In this paper, we review the development of basic research on pNEN in recent years and discuss its role in clinical diagnosis and treatment. On the one hand, the development of basic research can further reveal the nature of the differential biological behavior of pNEN and provide clinical reference; on the other hand, reference to the migratory basic research results in other tumor fields is also conducive to improving the clinical diagnosis and treatment level of pNEN.

Fluorine is an important element widely present in nature, and moderate intake can prevent dental caries and promote bone development. However, long-term excessive intake can lead to fluorosis, damaging tissues or organs such as teeth, bones, heart muscle, and blood vessels. Bone marrow mesenchymal stem cells (BMSCs) play an important role in the repair process of bone injury due to their excellent multi-directional differentiation potential. Therefore, studying BMSCs is of great value in the treatment of fluorosis caused by fluoride poisoning. This article summarize the progress on the effect of fluoride on BMSCs, providing new ideas for the study of the pathogenesis and clinical treatment of fluorosis.

Objective To explore the effects of different types of drinking water on the growth and fecal flora of mice.Methods Specific pathogen-free NIH mice were randomly divided into five groups,32 mice each group,with half males and half females in each group.The group were given either purified water(control group),acidified water,alkalized water,weakly acidic water or solid water.Diet and body weight were monitored continuously for 20 days.After the experiment,animal fecal samples were collected,and the V3-V4 region was amplified with bacterial 16S rDNA universal primers.An Illumina Miseq high-throughput sequencing platform was used for high-throughput sequencing,and microbial community,α diversity and β diversity were analyzed by bioinformatics method.Results The body weight of female mice given different pH values of weakly acidic water was higher,while the weight of the other groups was lower,than that of the control group(P＞0.05).The body weight of male mice in the acidified water group was higher,while that of other groups was lower,than that of control group,but there was no statistical difference between the groups(P＞0.05).The body weights of male and female mice in the solid water group were lower than those in the control group(P＜0.05).The food and water intake of the female animals in the alkaline water group and the water intake of female animals in the solid water group were lower than those of the other groups.OTU clustering analysis showed that the data volume of the sequencing was reasonable,and the fecal flora species of NIH mice were divided into five phyla,among which Bacteroides and Firmicutes were dominant.Unclassified Pseudopurpuromonas,Lactobacillus and Alistipes were the main genera.There were differences in fecal flora abundance and diversity among the mice given the five drinking water types.α analysis showed that the acidified water group had the highest flora abundance and diversity,while the solid water group had the lowest flora diversity.β analysis showed that the fecal flora composition in the solid water group was the closest to that of the control group,followed by the alkalized water group,acidified water group and weakly acidic water group.Conclusions Through an exploration of the effects of consuming different forms of water,this study revealed that solid water consumption had the greatest effects on body weight,feed intake,water consumption,and fecal flora of mice.The abundance and diversity of fecal flora in mice were affected by different pH values of drinking water,especially acidified water.

Objective:The effect and safety of etoposide combined with G-CSF were compared with those of cyclophosphamide combined with G-CSF in autologous peripheral blood mobilization in patients with multiple myeloma (MM) .Methods:Patients with MM who received autologous peripheral blood stem cell mobilization and collection in the Department of Hematology, Beijing Chaoyang Hospital Affiliated to Capital Medical University from January 1, 2020 to July 31, 2023 were included. A total of 134 patients were screened by propensity score matching technology according to a 1∶1 ratio. A total of 67 cases were each treated with ETO combined with G-CSF mobilization scheme (ETO group) and CTX combined with G-CSF mobilization scheme (CTX group). Their clinical data were retrospectively analyzed.Results:①Collection results: the ETO and CTX groups [2 (1-3) d vs 2 (1-5) d; P<0.001] and CD34 + cells [7.62×10 6 (2.26×10 6-37.20×10 6) /kg vs 2.73×10 6 (0.53×10 6-9.85×10 6) /kg; P<0.001] were collected. The success rate of collection was 100.0% (67/67) versus 76.1% (51/67) ( P<0.001). Excellent rate of collection was 82.1% (55/67) versus 20.9% (14/67; P<0.001). Two patients in the ETO group switched protocols after 1 day of collection, and 11 patients in the CTX group switched protocols after 1-2 days of collection. ②Adverse reactions: granular deficiency with fever (21.5%[14/65] vs. 10.7%[6/56]; P=0.110), requiring platelet transfusion [10.7% (7/65) vs 1.8% (1/56) ; P=0.047]. ③Until the end of follow-up, 63 cases in the ETO group and 54 cases in the CTX group have undergone autologous transplantation. The median number of CD34 + cells infused in the two groups was 4.62×10 6 (2.14×10 6-19.89×10 6) /kg versus 2.62×10 6 (1.12×10 6-5.31×10 6) /kg ( P<0.001), neutrophil implantation time was 11 (9-14) d versus 11 (10-14) d ( P=0.049), and platelet implantation time was 11 (0-19) d vs. 12 (0-34) d ( P=0.035). One case in the CTX group experienced delayed platelet implantation. Conclusion:The mobilization scheme of etoposide combined with G-CSF requires relatively platelet transfusion, but the collection days are shortened. The collection success rate, excellent rate, and the number of CD34 + cells obtained are high, and the neutrophil and platelet engraftment is accelerated after transplantation.