CD20highCD138low tumor-infiltrating lymphocytes predominantly related to cytokine‒cytokine receptor interactions are associated with favorable outcomes in neuroblastoma patients.

Recent advances have revealed that the role of the immune system is prominent in the antitumor response. In the present study, it is aimed to provide an expression profile of tumor-infiltrating lymphocytes (TILs), including mature B cells, plasma cells, and their clinical relevance in neuroblastoma. The expression of CD20 and CD138 was analyzed in the Cangelosi786 dataset (n = 769) as a training dataset and in our cohort (n = 120) as a validation cohort. CD20 high expression was positively associated with favorable overall survival (OS) and event-free survival (EFS) (OS: P < 0.001; EFS: P < 0.001) in the training dataset, whereas CD138 high expression was associated with poor OS and EFS (OS: P < 0.001; EFS: P < 0.001) in both the training and validation datasets. Accordingly, a combined pattern of CD20 and CD138 expression was developed, whereby neuroblastoma patients with CD20highCD138low expression had a consistently favorable OS and EFS compared with those with CD20lowCD138high expression in both the training and validation cohorts (P < 0.0001 and P < 0.01, respectively). Examination of potential molecular functions revealed that signaling pathways, including cytokine‒cytokine receptor interactions, chemokine, and the NF-kappa B signaling pathways, were involved. Differentially expressed genes, such as BMP7, IL7R, BIRC3, CCR7, CXCR5, CCL21, and CCL19, predominantly play important roles in predicting the survival of neuroblastoma patients. Our study proposes that a new combination of CD20 and CD138 signatures is associated with neuroblastoma patient survival. The related signaling pathways reflect the close associations among the number of TILs, cytokine abundance and patient outcomes and provide therapeutic insights into neuroblastoma.

Cystic adenomyoma of the uterus: Case report and literature review.

Cystic adenomyosis is a rare type of adenomyosis. The main clinical manifestation of uterine cystic adenomyoma is severe dysmenorrhoea, and the condition can be diagnosed by relevant clinical examination. The preferred treatment, with a good prognosis, is lesion resection. The clinical data of a patient with uterine cystic adenomyoma recorded at the Third Hospital of Hebei Medical University are reported herein. A 39-year-old female patient presented with tolerable menstrual pain and aggravated dysmenorrhoea, which she had experienced for 4 years, and menorrhagia, which she had had for approximately 1 year. Ultrasound and tumour marker tests suggested abnormalities, and magnetic resonance imaging confirmed a diagnosis of uterine cystic adenomyoma. A hysteroscopy and intrauterine lesion electrocision were performed, and the results of postoperative pathology tests suggested that the endometriosis cysts had returned to normal after the postoperative intervention. The analysis of the clinical manifestations and diagnosis and treatment of uterine cystic adenomyoma can improve the understanding of the disease and reduce the rates of misdiagnosis and missed diagnoses to ensure early detection with timely diagnosis and treatment.

Effects of electroacupuncture on treatment-resistant chronic migraine with medication overuse headache: A 12-month follow-up case report.

Background: Medication overuse headache (MOH) is a secondary headache disorder that leads to pronounced disability and decreased quality of life. Available therapeutic options for MOH are limited, and many are only effective in a subset of individuals. Although the existing evidence is limited, acupuncture may be an effective treatment option for MOH. Case presentation: A 45-year-old Chinese woman presented to the Medical Acupuncture Department of Sanming Integrated Traditional Chinese and Western Medicine Hospital on April 11, 2022. Thirty-five years ago, she had episodic migraines. The frequency increased over time, however, and for the past 10 years she has had daily headaches. These headaches were characterized by daily persistent throbbing pain on the left side of the patient's head, accompanied by photophobia, phonophobia, neck stiffness, dizziness, and fatigue. Without painkillers, the patient rated her headache intensity as 9 out of 10 on a visual analog scale (0 = no pain, 10 = intolerable pain), and reported that the headaches lasted for up to 7 days or more. With painkillers, the headaches had a reduced intensity (5 of 10), but persisted. The patient had taken 1-3.5 compound aminopyrine phenacetin tablets daily for more than 5 years. Standard conservative therapy (patient education, medication withdrawal, and behavioral intervention) for MOH had failed to improve her symptoms. Before her visit, the patient had headache and engaged in short-term medication use on 30 days per month. The total monthly headache intensity score was 90. The patient's Migraine-Specific Quality of Life Questionnaire (MSQ) score was 33 points, her Hamilton Depression Scale (HAMD) score was 24 points, and her Hamilton Anxiety Scale (HAMA) score was 20 points. Results: After 48 acupuncture sessions over 24 weeks, the patient completely discontinued short-term analgesic use and the monthly number of headache days and headache intensity score were both reduced by 96.67 % (from 30 to 1 and 90 to 3, respectively), with no adverse effect. Compared with baseline, the MSQ, HAMD, and HAMA scores improved by 45, 17, and 16 points, respectively. At 12 months, the patient's condition remained stable and her MOH had not relapsed. Conclusion: In the context of the current literature and the present case, electroacupuncture shows promise for the long-term relief of chronic migraine with MOH when other treatments fail.

Classification and transfer learning of sleep spindles based on convolutional neural networks.

Background: Sleep plays a critical role in human physiological and psychological health, and electroencephalography (EEG), an effective sleep-monitoring method, is of great importance in revealing sleep characteristics and aiding the diagnosis of sleep disorders. Sleep spindles, which are a typical phenomenon in EEG, hold importance in sleep science. Methods: This paper proposes a novel convolutional neural network (CNN) model to classify sleep spindles. Transfer learning is employed to apply the model trained on the sleep spindles of healthy subjects to those of subjects with insomnia for classification. To analyze the effect of transfer learning, we discuss the classification results of both partially and fully transferred convolutional layers. Results: The classification accuracy for the healthy and insomnia subjects' spindles were 93.68% and 92.77%, respectively. During transfer learning, when transferring all convolutional layers, the classification accuracy for the insomnia subjects' spindles was 91.41% and transferring only the first four convolutional layers achieved a classification result of 92.80%. The experimental results demonstrate that the proposed CNN model can effectively classify sleep spindles. Furthermore, the features learned from the data of the normal subjects can be effectively applied to the data for subjects with insomnia, yielding desirable outcomes. Discussion: These outcomes underscore the efficacy of both the collected dataset and the proposed CNN model. The proposed model exhibits potential as a rapid and effective means to diagnose and treat sleep disorders, thereby improving the speed and quality of patient care.

Prognostic value of postoperative anti-thyroglobulin antibody in patients with differentiated thyroid cancer.

Purpose: Postoperative thyroglobulin (Tg) generally serves as a biomarker to monitor the recurrence or persistence of differentiated thyroid cancer (DTC), whereas it constrains to interference from anti-thyroglobulin antibody (TgAb). This study aimed to determine the value of postoperative TgAb as a surrogate for monitoring tumor status in DTCs with positive TgAb after successful radioactive iodine (RAI) remnant ablation. Methods: We retrospectively enrolled DTC patients with positive (≥40 IU/mL, Roche) postoperative TgAb measurements. An index of TgAb change (ΔTgAb) was defined to describe the TgAb decrease rate. DTC status was defined as either no evidence of disease (NED) or persistent/recurrent disease (PRD). Univariate and multivariate binary logistic analyses were used to identify the independent risk factors of PRD. Receiver operating characteristic (ROC) curves were performed to determine the optimal cutoff values of each risk factor, and DeLong's test was conducted to compare their predictive powers. Kaplan-Meier curves were used to assess the impact of different TgAb trends in the first year on progression-free survival. Results: Of the 232 patients enrolled, the median diagnosis age was 34 years (range, 18-62 years), with a male-to-female ratio of 1:4.66 (41/191). Among them, after a median follow-up of 44 months (range, 4-128 months),183 (78.87%) patients were evaluated as NED, while the other 49 (21.12%) had either persistent (n = 25) or recurrent disease (n = 24). Multivariate regression showed that ΔTgAb (P < 0.001) and lymph node metastasis (LNM) rate (P = 0.009) were independently relevant to the presence of PRD, with optimal cutoff values of 47.0% and 35.1%, respectively. It is important to note that there is a high negative predictive value (96.93%) of ΔTgAb with the cutoff of 47.0%. DeLong's test showed that ΔTgAb alone and the combination of ΔTgAb and LNM rate were significantly greater than the isolated LNM rate (both P < 0.001) in predicting NED, while there was no statistical difference of the predictive power between ΔTgAb and the combination (P = 0.203). Additionally, patients with ΔTgAb >47.0% had longer progression-free survival than those with ΔTgAb ≤47.0% (not reached vs. 50 months, P < 0.001), and those with ΔTgAb >47.0% or negative conversion within the first year after RAI ablation had longer progression-free survival. Conclusion: Our study suggested that ΔTgAb could serve as a valuable indicator of disease status in DTC patients with positive TgAb. A ΔTgAb of >47.0% is conducive to identify those with NED and may help to obviate their overtreatment. The decrease rate and negative conversion of TgAb in the first year were good predictors of disease-free survival in patients.

Decoding the impact of fiscal decentralization on urban pollution intensity in China: A spatial econometric analysis.

Utilizing city-level data from China, the paper employs a spatial econometric analysis to investigate the impact of fiscal decentralization on urban pollution. Empirical evidence indicates: (1) In the context of the emphasis of ecological civilization construction in China, an increase of fiscal autonomy for local governments is conducive to mitigating urban pollution intensity. Specifically, fiscal decentralization in one city not only promotes a reduction in local pollution intensity but alleviates environmental pollution problems in adjacent cities through spatial spillover effects. (2) Industrial structure upgrading and green technology progress become crucial measures for local governments to realize pollution reduction targets through fiscal expenditure. (3) Heterogeneity analysis reveals that the positive significance of decentralization is most prominent in the eastern China, while local governments with fiscal autonomy in central region tend to transfer pollution to neighboring cities. (4) There is a threshold characteristic for fiscal decentralization to promote a reduction in urban pollution intensity, and its marginal effect becomes more significant accompanied by continuous introduction of sophisticated foreign direct investment. Finally, the paper summarizes the potential significance of fiscal decentralization among Chinese local governments against the background of "Chinese-style decentralization" and proposes corresponding policy recommendations.

Associations between maternal exposure to multiple metals and metalloids and blood pressure in preschool children: A mixture-based approach.

BACKGROUND: Exposure to metals during pregnancy can potentially influence blood pressure (BP) in children, but few studies have examined the mixed effects of prenatal metal exposure on childhood BP. We aimed to assess the individual and combined effects of prenatal metal and metalloid exposure on BP in preschool children. METHODS: A total of 217 mother-child pairs were selected from the Zhuang Birth Cohort in Guangxi, China. The maternal plasma concentrations of 20 metals [e.g. lead (Pb), rubidium (Rb), cesium (Cs), and zinc (Zn)] in early pregnancy were measured by inductively coupled plasmamass spectrometry. Childhood BP was measured in August 2021. The effects of prenatal metal exposure on childhood BP were explored by generalized linear models, restricted cubic spline and Bayesian kernel machine regression (BKMR) models. RESULTS: In total children, each unit increase in the log10-transformed maternal Rb concentration was associated with a 10.82-mmHg decrease (95% CI: -19.40, -2.24) in childhood diastolic BP (DBP), and each unit increase in the log10-transformed maternal Cs and Zn concentrations was associated with a 9.67-mmHg (95% CI: -16.72, -2.61) and 4.37-mmHg (95% CI: -8.68, -0.062) decrease in childhood pulse pressure (PP), respectively. The log10-transformed Rb and Cs concentrations were linearly related to DBP (P nonlinear=0.603) and PP (P nonlinear=0.962), respectively. Furthermore, an inverse association was observed between the log10-transformed Cs concentration and PP (ß =-12.18; 95% CI: -22.82, -1.54) in girls, and between the log10-transformed Rb concentration and DBP (ß =-12.54; 95% CI: -23.87, -1.21) in boys, while there was an increasing association between the log10-transformed Pb concentration and DBP there was an increasing in boys (ß =6.06; 95% CI: 0.36, 11.77). Additionally, a U-shaped relationship was observed between the log10-transformed Pb concentration and SBP (P nonlinear=0.015) and DBP (P nonlinear=0.041) in boys. Although there was no statistically signiffcant difference, there was an inverse trend in the combined effect of maternal metal mixture exposure on childhood BP among both the total children and girls in BKMR. CONCLUSIONS: Prenatal exposure to both individual and mixtures of metals and metalloids influences BP in preschool children, potentially leading to nonlinear and sex-specific effects.

Discovery and genetic characterization of novel paramyxoviruses from small mammals in Hubei Province, Central China.

Paramyxoviruses are a group of single-stranded, negative-sense RNA viruses, some of which are responsible for acute human disease, including parainfluenza virus, measles virus, Nipah virus and Hendra virus. In recent years, a large number of novel paramyxoviruses, particularly members of the genus Jeilongvirus, have been discovered in wild mammals, suggesting that the diversity of paramyxoviruses may be underestimated. Here we used hemi-nested reverse transcription PCR to obtain 190 paramyxovirus sequences from 969 small mammals in Hubei Province, Central China. These newly identified paramyxoviruses were classified into four clades: genera Jeilongvirus, Morbillivirus, Henipavirus and Narmovirus, with most of them belonging to the genus Jeilongvirus. Using Illumina sequencing and Sanger sequencing, we successfully recovered six near-full-length genomes with different genomic organizations, revealing the more complex genome content of paramyxoviruses. Co-divergence analysis of jeilongviruses and their known hosts indicates that host-switching occurred more frequently in the evolutionary histories of the genus Jeilongvirus. Together, our findings demonstrate the high prevalence of paramyxoviruses in small mammals, especially jeilongviruses, and highlight the diversity of paramyxoviruses and their genome content, as well as the evolution of jeilongviruses.

Clinical implications of CSF-ctDNA positivity in newly diagnosed diffuse large B cell lymphoma.

The clinical implications of CSF-ctDNA positivity in newly diagnosed diffuse large B cell lymphoma (ND-DLBCL) remains largely unexplored. One hundred ND-DLBCL patients were consecutively enrolled as training cohort and another 26 ND-DLBCL patients were prospectively enrolled in validation cohort. CSF-ctDNA positivity (CSF(+)) was identified in 25 patients (25.0%) in the training cohort and 7 patients (26.9%) in the validation cohort, extremely higher than CNS involvement rate detected by conventional methods. Patients with mutations of CARD11, JAK2, ID3, and PLCG2 were more predominant with CSF(+) while FAT4 mutations were negatively correlated with CSF(+). The downregulation of PI3K-AKT signaling, focal adhesion, actin cytoskeleton, and tight junction pathways were enriched in CSF(+) ND-DLBCL. Furthermore, pretreatment CSF(+) was significantly associated with poor outcomes. Three risk factors, including high CSF protein level, high plasma ctDNA burden, and involvement of high-risk sites were used to predict the risk of CSF(+) in ND-DLBCL. The sensitivity and specificity of pretreatment CSF-ctDNA to predict CNS relapse were 100% and 77.3%. Taken together, we firstly present the prevalence and the genomic and transcriptomic landscape for CSF-ctDNA(+) DLBCL and highlight the importance of CSF-ctDNA as a noninvasive biomarker in detecting and monitoring of CSF infiltration and predicting CNS relapse in DLBCL.

Serum klotho associated with thyroid hormone in adults: A population-based cross-sectional research.

BACKGROUND AND STUDY AIM: The klotho protein, a multifunctional protein, has been shown to be associated with a wide range of endocrine diseases and has been linked to thyroid tumourigenesis. However, the relationship between serum klotho levels and thyroid hormones remains poorly understood. This study aimed to explore the correlation between serum klotho levels and thyroid hormones. METHODS: Data was obtained from the NHANES cycles 2007-2008, 2009-2010, and 2011-2012. A total of 4674 participants were recruited for this study. Statistical analysis was using multiple linear regression analyses, and restricted cubic spline plots (RCS) to investigate the association between serum klotho levels and serum levels of thyroid hormones. RESULTS: In the unadjusted covariate model, ln(klotho) significantly positively correlated with tT3, tT4, fT3, tT4/fT4, and tT3/fT3 (all P<0.01) and negatively correlated with TSH, tT4/tT3, and fT4/fT3 (all P<0.05). Furthermore, tT3, tT4, fT3and tT3/fT3 (P < 0.05) were still significant in the adjusted model. And it is worth noting that there is an approximately L-shaped nonlinear relationship between ln(klotho) and fT3,tT3 with a cut-off point of 6.697 (P-non-linear < 0.05). The stratification analysis showed gender and iodine level differences in the relationship between serum Klotho levels and thyroid hormones. CONCLUSION: There is an L-shaped nonlinear relationship between ln(klotho) and fT3, tT3, suggesting that klotho could be involved in the physiological regulation of thyroid function.

The Intersection of cerebral cholesterol metabolism and Alzheimer's disease: Mechanisms and therapeutic prospects.

Alzheimer's disease (AD) is a common neurodegenerative disease in the elderly, the exact pathogenesis of which remains incompletely understood, and effective preventive and therapeutic drugs are currently lacking. Cholesterol plays a vital role in cell membrane formation and neurotransmitter synthesis, and its abnormal metabolism is associated with the onset of AD. With the continuous advancement of imaging techniques and molecular biology methods, researchers can more accurately explore the relationship between cholesterol metabolism and AD. Elevated cholesterol levels may lead to vascular dysfunction, thereby affecting neuronal function. Additionally, abnormal cholesterol metabolism may affect the metabolism of ß-amyloid protein, thereby promoting the onset of AD. Brain cholesterol levels are regulated by multiple factors. This review aims to deepen the understanding of the subtle relationship between cholesterol homeostasis and AD, and to introduce the latest advances in cholesterol-regulating AD treatment strategies, thereby inspiring readers to contemplate deeply on this complex relationship. Although there are still many unresolved important issues regarding the risk of brain cholesterol and AD, and some studies may have opposite conclusions, further research is needed to enrich our understanding. However, these findings are expected to deepen our understanding of the pathogenesis of AD and provide important insights for the future development of AD treatment strategies targeting brain cholesterol homeostasis.

The impact of nursing interventions on the rehabilitation outcome of patients after lumbar spine surgery.

BACKGROUND: This study aimed to investigate the impact of nursing interventions on the rehabilitation outcomes of patients after lumbar spine surgery and to provide effective references for future postoperative care for patients undergoing lumbar spine surgery. METHODS: The study included two groups: a control group receiving routine care and an observation group receiving additional comprehensive nursing care. The comprehensive care encompassed postoperative rehabilitation, pain, psychological, dietary management, and discharge planning. The Visual Analogue Scale (VAS), Oswestry Disability Index (ODI), Short-Form 36 (SF-36) Health Survey, self-rating depression scale (SDS) and self-rating anxiety scale(SAS) were used to assess physiological and psychological recovery. Blood albumin, haemoglobin, neutrophil counts, white blood cell counts, red blood cell counts, inflammatory markers (IL-6, IL-10, and IFN-γ) were measured, and the incidence of postoperative adverse reactions was also recorded. RESULTS: Patients in the observation group exhibited significantly improved VAS, ODI, SF-36, SDS and SAS scores assessments post-intervention compared to the control group (P < 0.05). Moreover, levels of IL-6, IL-10, and IFN-γ were more favorable in the observation group post-intervention (P < 0.05), indicating a reduction in inflammatory response. There was no significant difference in the incidence of postoperative adverse reactions between the groups (P > 0.05), suggesting that the comprehensive nursing interventions did not increase the risk of adverse effects. CONCLUSION: Comprehensive nursing interventions have a significant impact on the postoperative recovery outcomes of patients with LSS, alleviating pain, reducing inflammation levels, and improving the overall quality of patient recovery without increasing the patient burden. Therefore, in clinical practice, it is important to focus on comprehensive nursing interventions for patients with LSS to improve their recovery outcomes and quality of life.

Effects of N application methods on cotton yield and fertilizer N recovery efficiency in salinity fields with drip irrigation under mulch film using 15N tracing technique.

Introduction: Drip irrigation under mulch film promotes a non-uniform salinity distribution in salt fields. The effect of different N application methods on the growth and yield of cotton under drip irrigation under mulch film conditions in eastern coastal saline-alkaline soils in China remain remained unclear. Methods: A randomized complete block design was used in the experiment. Three N application methods were assigned: N applied under mulch film (low-salinity area; UM), N applied between mulch films (high-salinity area; BM), and half N applied under mulch film and half between mulch films (HUHB). Results: Plant height, photosynthesis, Chl content, boll load, biomass, boll weight and boll density under UM were all significantly higher than those under the other two treatments. The N absorption of UM was higher than in the other two treatments, which might be attributed to the expression of GHNRT1.5 and GHNRT2.1. The net NO3- influx in the roots in UM increased significantly compared with that in BM. The yield and FNRE of UM were 3.9% and 9.1%, respectively, and were 26.52% and 90.36% higher than under HUHB and BM treatments. Discussion: UM not only improved cotton yield but also alleviated the pollution of N residue on drip irrigation under mulch film conditions in salt areas.

Identification of an exosomal miRNA-mRNA regulatory network contributing to methotrexate efficacy.

OBJECTIVE: Methotrexate (MTX) is an economic and effective medicine treatment for psoriasis. Extracellular vesicle (EV) miRNA biomarkers related to its efficiency have been identified in various diseases. Whether certain miRNA profiles are associated with psoriasis treatment is unknown. In order to determine specific miRNA biomarkers for MTX effectiveness prediction and the severity of psoriasis, our study looked at the variations in circulating EV miRNA profiles before and after MTX therapy. METHODS: Plasma EV isolation and next-generation sequencing were performed to identify differentially expressed EV miRNAs between GRs (n = 14) and NRs (n = 6). Univariate and multiple linear regression analyses were performed to evaluate the correlation between PASI scores and miRNA expression levels. RESULTS: 15 miRNAs out of a total profile of 443 miRNAs were substantially different between GRs and NRs at baseline, 4 of them (miR-199a-5p, miR-195-5p, miR-196a-5p, and miR-1246) have the potential to distinguish between GRs and NRs [area under the curve (AUC) ≥ 0.70, all P < 0.05]. KEGG pathway analyses revealed differentially expressed miRNAs to potentially target immune-related pathways. SIRT1 was discovered to be a target of miR-199a-5p and involved in MAPK signaling pathway. MiR-191-5p and miR-21-5p expression levels have been discovered to positively correlate with PASI scores[P < 0.05]. CONCLUSION: This pilot investigation found that miR-199a-5p, miR-195-5p, miR-196a-5p, and miR-1246 might be prospective biomarkers to predict the efficacy of MTX, and that miR-191-5p and miR-21-5p were correlated with psoriasis severity. Five of them previously reported to be involved in MAPK signaling pathway, indicating a potential role of MTX in delaying the progression of psoriatic inflammation.

Progress of researches on mechanisms of acupuncture therapy in the treatment of lumbar disc herniation. / é’ˆç¸æ²»ç–—è °æ¤Žé—´ç›˜çªå‡ºç—‡ä½œç”¨æœºåˆ¶ç ”ç©¶è¿›å±•.

Lumbar intervertebral disc herniation (LDH) is a common and frequently-occurring disease, which usually causes lumbar and leg pain. Studies have shown that acupuncture can improve the symptoms of LDH patients. In the present paper, we summarize the progress of researches on the mechanisms of acupuncture underlying improvement of symptoms of LDH in recent 10 years from 1) delaying the intervertibral disc degeneration (by down-regulating the expressions of matrix metalloproteinase ï¼»MMPï¼½-3 and MMP-4, up-regulating the expressions of diosaccharides and polyglycoprotein, inhibiting apoptosis and promoting mitochondrial autophagy of nucleus pulposus cells, etc.), 2) maintaining spinal column stability (by relieving rachiasmus and improving lumbar flexor and extensor muscle strength, lowering the degree of polyfidus edema and fat infiltration, and restoring the biomechanics of the spine), 3) regulating inflammation (by inhibiting the production of proinflammatory factors and increasing the production of anti-inflammatory factors, etc.), 4) regulating immune response (by promoting the activity of T cells and other immune cells, lowering serum levels of MMP-3, transforming growth factor-ß1 and prostaglandin E2, raising serum levels of IgA, IgG and IgM to improve immune function ), 5) modulating neural structure and function (by promoting myelin regeneration of sciatic nerve fibers, and reducing the edema of Schwann cells' cytoplasm and mitochondria, and improving neural ultrastructure, and sensory and motor functions of peripheral nerves, etc.), 6) relieving lumbar pain (by down-regulating expression of Ca2+/calmodulin-dependent protein kinase and activation of lumbar spinal cord glial cells, blocking nociceptive signal conduction, regulating the levels of pain-related factors, etc.), and 7) improving local microcirculation. These results may provide scientific evidence for acupuncture treatment of LDH.

The regulatory effect of electroacupuncture on endometrial M1-type macrophages in rats with intrauterine adhesions. / ç”µé’ˆå¯¹å®«è ”ç²˜è¿žå¤§é¼ å­å®«å† è†œM1型巨噬细胞的调控作用.

OBJECTIVES: To observe the effect of electroacupuncture(EA) on endometrial fibrosis and M1-type macrophages in rats with intrauterine adhesions(IUA), so as to explore the possible mechanism of EA in the treatment of IUA. METHODS: Fifteen female SD rats were randomly divided into blank group, model group and EA group, with 5 rats in each group. The IUA rat model was established by double damage method using mechanical scraping combined with lipopolysaccharide infection. Rats in the EA group were treated with acupuncture at "Guanyuan"(CV4), and EA at bilateral "Zusanli"(ST36) and "Sanyinjiao"(SP6)for 20 minutes each time, once a day, for 3 consecutive cycles of estrus. Five rats in each group were sampled during the estrous period, and the endometrial morphology, endometrial thickness and the number of blood vessels and glands were observed after HE staining. The fibrotic area of the uterus was observed after Masson staining. The positive expressions of Runt-related transcription factor(RUNX1), transforming growth factor-ß1(TGF-ß1), connective tissue growth factor(CTGF), α-smooth muscle actin(α-SMA), collagen type I(Col-Ⅰ), cluster of differentiation 86(CD86), interleukin-1ß(IL-1ß), and tumor necrosis factor-α(TNF-α) in endometrial tissue were detected by immunohistochemistry. Western blot was used to detect relative protein expressions of RUNX1, TGF-ß1, α-SMA, CD86, and TNF receptor 2 (TNFR2), and real-time fluorescence quantitative PCR was used to detect mRNA expressions of RUNX1, TGF-ß1, α-SMA, CD86, and TNF-α in the endometrium. RESULTS: During the estrous phase, the endometrial layer in the model group was damaged, with reduced folds, disordered arrangement of epithelial cells, loose fibrous connective tissue, significant narrowing and adhesions in the uterine cavity, interstitial congestion, edema, and a significant infiltration of inflammatory cells with sparse glands. While uterine tissue structure of the EA group was basically intact, resembling a normal uterus, with more newly formed glands and a small amount of inflammatory cell infiltration. In comparison with the blank group, the endometrial thickness, the number of blood vessels, and the number of glands were significantly decreased(P<0.001) in the model group, while the ratio of uterine fibrosis area, the positive expressions of RUNX1, TGF-ß1, CTGF, α-SMA, Col-Ⅰ, CD86, IL-1ß, and TNF-α, the protein relative expressions of RUNX1, TGF-ß1, α-SMA, CD86 and TNFR2, and the mRNA relative expression levels of RUNX1, TGF-ß1, α-SMA, CD86 and TNF-α in the endometrium were significantly increased (P<0.001, P<0.01). Compared to the model group, the endometrial thickness, the number of blood vessels, and the number of glands were significantly increased(P<0.01, P<0.05) in the EA group, while the ratio of uterine fibrosis area, the positive expressions of RUNX1, TGF-ß1, CTGF, α-SMA, Col-Ⅰ, CD86, IL-1ß and TNF-α in the endometrial tissue, the protein expressions of RUNX1, TGF-ß1, α-SMA, CD86 and TNFR2, and the mRNA relative expressions of RUNX1, TGF-ß1, α-SMA, CD86 and TNF-α in the endometrium were significantly decreased (P<0.001, P<0.01, P<0.05). CONCLUSIONS: EA can improve endometrial fibrosis in IUA rats, which may be related to its function in decreasing the level of endometrial M1-type macrophages and the secretion of related inflammatory factors.

Ag1+ incorporation via a Zr4+-anchored metalloligand: fine-tuning catalytic Ag sites in Zr/Ag bimetallic clusters for enhanced eCO2RR-to-CO activity.

Attaining meticulous dominion over the binding milieu of catalytic metal sites remains an indispensable pursuit to tailor product selectivity and elevate catalytic activity. By harnessing the distinctive attributes of a Zr4+-anchored thiacalix[4]arene (TC4A) metalloligand, we have pioneered a methodology for incorporating catalytic Ag1+ sites, resulting in the first Zr-Ag bimetallic cluster, Zr2Ag7, which unveils a dualistic configuration embodying twin {ZrAg3(TC4A)2} substructures linked by an {AgSal} moiety. This cluster unveils a trinity of discrete Ag sites: a pair ensconced within {ZrAg3(TC4A)2} subunits and one located between two units. Expanding the purview, we have also crafted ZrAg3 and Zr2Ag2 clusters, meticulously mimicking the two Ag site environment inherent in the {ZrAg3(TC4A)2} monomer. The distinct structural profiles of Zr2Ag7, ZrAg3, and Zr2Ag provide an exquisite foundation for a precise comparative appraisal of catalytic prowess across three Ag sites intrinsic to Zr2Ag7. Remarkably, Zr2Ag7 eclipses its counterparts in the electroreduction of CO2, culminating in a CO faradaic efficiency (FECO) of 90.23% at -0.9 V. This achievement markedly surpasses the performance metrics of ZrAg3 (FECO: 55.45% at -1.0 V) and Zr2Ag2 (FECO: 13.09% at -1.0 V). Utilizing in situ ATR-FTIR, we can observe reaction intermediates on the Ag sites. To unveil underlying mechanisms, we employ density functional theory (DFT) calculations to determine changes in free energy accompanying each elementary step throughout the conversion of CO2 to CO. Our findings reveal the exceptional proficiency of the bridged-Ag site that interconnects paired {ZrAg3(TC4A)2} units, skillfully stabilizing *COOH intermediates, surpassing the stabilization efficacy of the other Ag sites located elsewhere. The invaluable insights gleaned from this pioneering endeavor lay a novel course for the design of exceptionally efficient catalysts tailored for CO2 reduction reactions, emphatically underscoring novel vistas this research unshrouds.

A Multi-Element Identification System Based on Deep Learning for the Visual Field of Percutaneous Endoscopic Spine Surgery.

Background: Lumbar disc herniation is a common degenerative lumbar disease with an increasing incidence. Percutaneous endoscopic lumbar discectomy can treat lumbar disc herniation safely and effectively with a minimally invasive procedure. However, the learning curve of this technology is steep, which means that initial learners are often not sufficiently proficient in endoscopic operations, which can easily lead to iatrogenic damage. At present, the application of computer deep learning technology to clinical diagnosis, treatment, and surgical navigation has achieved satisfactory results. Purpose: The objective of our team is to develop a multi-element identification system for the visual field of endoscopic spine surgery using deep learning algorithms and to evaluate the feasibility of this system. Method: We established an image database by collecting surgical videos of 48 patients diagnosed with lumbar disc herniation, which was labeled by two spinal surgeons. We selected 6000 images of the visual field of percutaneous endoscopic spine surgery (including various tissue structures and surgical instruments), divided into the training data, validation data, and test data according to 2:1:2. We developed convolutional neural network models based on instance segmentation-Solov2, CondInst, Mask R-CNN and Yolact, and set the four network model backbone as ResNet101 and ResNet50 respectively. Mean average precision (mAP) and frames per second (FPS) were used to measure the performance of each model for classification, localization and recognition in real time, and AP (average) is used to evaluate how easily an element is detected by neural networks based on computer deep learning. Result: Comprehensively comparing mAP and FSP of each model for bounding box test and segmentation task for the test set of images, we found that Solov2 (ResNet101) (mAP = 73.5%, FPS = 28.9), Mask R-CNN (ResNet101) (mAP = 72.8%, FPS = 28.5) models are the most stable, with higher precision and faster image processing speed. Combining the average precision of the elements in the bounding box test and segmentation tasks in each network, the AP(average) was highest for tool 3 (bbox-0.85, segm-0.89) and lowest for tool 5 (bbox-0.63, segm-0.72) in the instrumentation, whereas in the anatomical tissue elements, the fibrosus annulus (bbox-0.68, segm-0.69) and ligamentum flavum (bbox-0.65, segm-0.62) had higher AP(average),while extra-dural fat (bbox-0.42, segm-0.44) was lowest. Conclusion: Our team has developed a multi-element identification system for the visual field of percutaneous endoscopic spine surgery adapted to the interlaminar and foraminal approaches, which can identify and track anatomical tissue (nerve, ligamentum flavum, nucleus pulposus, etc.) and surgical instruments (endoscopic forceps, an high-speed diamond burr, etc.), which can be used in the future as a virtual educational tool or applied to the intraoperative real-time assistance system for spinal endoscopic operation.

Distinguishing Kikuchi-Fujimoto disease from lymphoma in patients by clinical and PET/CT features.

To develop a scheme for distinguishing Kikuchi-Fujimoto disease (KFD) from lymphoma in patients presenting enlarged lymph nodes (LNs) predominantly on the upper side of the diaphragm. From November 2015 to August 2023, 32 KFD patients and 38 lymphoma patients were pathologically confirmed and enrolled in this retrospectively study. Clinical and 18F-fluorodeoxyglucose positron emission tomography (PET)/computed tomography (CT) features were collected. When comparing those PET/CT parameters, we set 5 models with different research objects: (1) all affected LNs; (2) the 5 largest affected LNs in terms of maximum diameter; (3) the 5 largest affected LNs in terms of maximum standard uptake values (SUVmax); (4) the largest affected LNs in terms of maximum diameter; (5) the largest affected LNs in terms of SUVmax. Compared to lymphoma patients, KFD patients were younger; and with higher incidence of fever, arthralgia, abnormal serum white blood cell, lactate dehydrogenase (LDH) and splenomegaly; lower incidence of affected LNs perinodal infiltration, necrosis and conglomeration; more affected LNs in Head and Neck nodes (particularly in level II) and Axillary in KFD (P ˂ .05). PET/CT parameters presented as various difference in each model. Finally, 11 clinical and PET/CT features (age ≤ 34, with fever, arthralgia, abnormal white blood cell, abnormal LDH, and without node necrosis and node conglomeration have a score of 2 each; splenomegaly, perinodal infiltration, median maximum diameter ≤ 20.5 and median SUVmax ≤ 7.1 of affected LNs in model 2 have score of 1 each) were selected as scheme items for distinguishing KFD from lymphoma. Individuals who have a total score > 8, meet the criteria for KFD. Sensitivity and specificity were high: 86.8% (95% CI: 71.9%, 95.5%) and 96.9% (95% CI: 83.7%, 99.5%), AUC = 0.975 (95% CI: 90.5%, 99.6%), respectively. It can effectively distinguish KFD from lymphoma by clinical and PET/CT parameters.