Recognition of regions of stroke injury using multi-modal frequency features of electroencephalogram.

Objective: Nowadays, increasingly studies are attempting to analyze strokes in advance. The identification of brain damage areas is essential for stroke rehabilitation. Approach: We proposed Electroencephalogram (EEG) multi-modal frequency features to classify the regions of stroke injury. The EEG signals were obtained from stroke patients and healthy subjects, who were divided into right-sided brain injury group, left-sided brain injury group, bilateral brain injury group, and healthy controls. First, the wavelet packet transform was used to perform a time-frequency analysis of the EEG signal and extracted a set of features (denoted as WPT features). Then, to explore the nonlinear phase coupling information of the EEG signal, phase-locked values (PLV) and partial directed correlations (PDC) were extracted from the brain network, and the brain network produced a second set of features noted as functional connectivity (FC) features. Furthermore, we fused the extracted multiple features and used the resnet50 convolutional neural network to classify the fused multi-modal (WPT + FC) features. Results: The classification accuracy of our proposed methods was up to 99.75%. Significance: The proposed multi-modal frequency features can be used as a potential indicator to distinguish regions of brain injury in stroke patients, and are potentially useful for the optimization of decoding algorithms for brain-computer interfaces.

[Intervention Effect and Mechanism of Regulating MiR-155 on Young Rats with Dysfunction of Blood Coagulation].

OBJECTIVE: To investigate the intervention effect and mechanism of regulating miR-155 on young rats with dysfunction of blood coagulation. METHODS: Twenty-six healthy and clean SD male rats were selected to establish the coagulopathy models. Twenty-four rats successfully established models and were randomly divided into three groups: model group, up-regulated miR-155 group and down-regulated miR-155 group, with 8 rats in each group. The expression of miR-155 was detected by real-time fluorescence quantitative polymerase chain reaction. The changes of coagulation factors and coagulation indicators were observed. Liver pathological tissues were observed by HE staining. The expressions of HMGB1-RAGE/TLRs-NF-κB signaling pathway related proteins were detected by Western blot. RESULTS: Compared with model group, the expressions of HMGB1, RAGE, TLR2, TLR4 and NF-κB were significantly increased in up-regulated miR-155 group (all P < 0.05), while decreased in down-regulated miR-155 group (all P < 0.05). Compared with model group, the expressions of coagulation factor Ⅱ, Ⅶ, Ⅸ, and Ⅹ were significantly decreased in up-regulated miR-155 group (all P < 0.05), while increased in down-regulated miR-155 group (P < 0.05). There was no significant difference in the expression of coagulation factor Ⅺ among the three groups (P >0.05). Compared with model group, the levels of prothrombin time (PT) and activated partial thromboplastin time (APTT) were lower and fibrinogen (FIB) was higher in up-regulated miR-155 group (all P < 0.05), while in the down-regulated miR-155 group they were opposite. CONCLUSION: Down-regulation of miR-155 can effectively improve coagulation factors and coagulation indexes and inhibit inflammation in young rats with dysfunction of blood coagulopathy, and the mechanism may be related to HMGB1-RAGE/TLRs-NF-κB signaling pathway.

FATE: Learning Effective Binary Descriptors with Group Fairness.

Hashing has received significant interest in large-scale data retrieval due to its outstanding computational efficiency. Of late, numerous deep hashing approaches have emerged, which have obtained impressive performance. However, these approaches can contain ethical risks during image retrieval. To address this, we are the first to study the problem of group fairness within learning to hash and introduce a novel method termed Fairness-aware Hashing with Mixture of Experts (FATE). Specifically, FATE leverages the mixture-of-experts framework as the hashing network, where each expert contributes knowledge from an individual viewpoint, followed by aggregation using the gating mechanism. This strongly enhances the model capability, facilitating the generation of both discriminative and unbiased binary descriptors. We also incorporate fairness-aware contrastive learning, combining sensitive labels with feature similarities to ensure unbiased hash code learning. Furthermore, an adversarial learning objective condition on both deep features and hash codes is employed to further eliminate group biases. Extensive experiments on several benchmark datasets validate the superiority of the proposed FATE compared with various state-of-the-art approaches.

Efficacy and safety of minimally invasive laparoscopic surgery under general anesthesia for ovarian cancer.

BACKGROUND: Ovarian cancer is one of the most common malignant tumors in female reproductive system in the world, and the choice of its treatment is very important for the survival rate and prognosis of patients. Traditional open surgery is the main treatment for ovarian cancer, but it has the disadvantages of big trauma and slow recovery. With the continuous development of minimally invasive technology, minimally invasive laparoscopic surgery under general anesthesia has been gradually applied to the treatment of ovarian cancer because of its advantages of less trauma and quick recovery. However, the efficacy and safety of minimally invasive laparoscopic surgery under general anesthesia in the treatment of ovarian cancer are still controversial. AIM: To explore the efficacy and safety of general anesthesia minimally invasive surgery in the treatment of ovarian cancer. METHODS: The clinical data of 90 patients with early ovarian cancer in our hospital were analyzed retrospectively. According to the different surgical treatment methods, patients were divided into study group and control group (45 cases in each group). The study group received minimally invasive laparoscopic surgery under general anesthesia for ovarian cancer, while the control group received traditional open surgery for ovarian cancer. The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30), clinical efficacy and safety of the two groups were compared. RESULTS: The intraoperative blood loss, length of hospital stay, postoperative gas evacuation time, and postoperative EORTC QLQ-C30 score of the study group were significantly better than those of the control group (P < 0.05). The incidence of postoperative complications in the study group was significantly lower than in the control group (P < 0.05). The two groups had no significant differences in the preoperative adrenocorticotropic hormone (ACTH), androstenedione (AD), cortisol (Cor), cluster of differentiation 3 positive (CD3+), and cluster of differentiation 4 positive (CD4+) indexes (P > 0.05). In contrast, postoperatively, the study group's ACTH, AD, and Cor indexes were lower, and the CD3+ and CD4+ indexes were higher than those in the control group (P < 0.05). CONCLUSION: Minimally invasive laparoscopic surgery under general anesthesia in patients with early ovarian cancer can significantly improve the efficacy and safety, improve the short-term prognosis and quality of life of patients, and is worth popularizing.

Association of the TRIM family protein with survival outcomes and clinicopathological features in colorectal cancer: a systematic review and meta-analysis.

BACKGROUND: The tripartite motif (TRIM) proteins have been reported to play crucial roles in various malignancies. However, the clinical significance of TRIM proteins in colorectal cancer (CRC) remains controversial. This study aimed to evaluate the association between TRIM proteins and the clinicopathological features and survival outcomes in patients with CRC. METHODS: We performed a meta-analysis to investigate whether TRIM is a prognostic factor in CRC. PubMed, Embase, Web of Science, CNKI and Weipu databases were searched to identify eligible studies that evaluated the association between TRIM proteins and overall survival (OS), as well as the clinicopathological features of patients with CRC. Hazard ratios (HR) or odds ratios (OR) with 95% confidence interval (CI) were derived and pooled using a fixed-effects model. RESULTS: From inception to March 2023, we extracted study characteristics and prognostic data for each identified study. Twelve studies enrolling 1608 patients were eligible for inclusion. Data on OS and recurrence-free survival (RFS) were available for 12 and 2 studies, respectively. The pooled analysis results showed a significant correlation between the elevated TRIM proteins and shorter OS (HR = 2.42, 95% CI: 1.96-2.99) and worse RFS (HR = 2.51, 95% CI: 1.78-3.54) in patients with CRC. The combined ORs indicated that TRIM protein over-expression was significantly associated with advanced TNM stage (OR = 2.26, 95% CI: 1.25-4.10), deep tumor invasion (OR = 2.01, 95% CI: 1.04-3.88), lymph node metastasis (OR = 2.99, 95% CI: 2.19-4.09) and perineural invasion (OR = 1.95, 95% CI: 1.18-3.23). CONCLUSIONS: Our findings suggest that TRIM proteins can predict tumor progression and poor prognosis in CRC. Therefore, TRIM proteins may be promising therapeutic targets for patients with CRC.

Stapled transperineal rectovaginal fistula repair for low- and mid-level rectovaginal fistulas: A comparison study with rectal mucosal advancement flap repair.

BACKGROUND: As an innovative treatment, stapled transperineal rectovaginal fistula repair (STR) for rectovaginal fistula (RVF) has demonstrated effectiveness in preliminary reports. This study aims to compare STR with rectal mucosal advancement flap repair (RAF), a widely utilized surgical procedure, for the surgical outcome of the low- and mid-level RVF. METHODS: In this retrospective cohort study, patients with low- and mid-level RVF who underwent STR or RAF were included from both the Sixth Affiliated Hospital of Sun Yat-sen University and Xi'an Daxing Hospital. Among the 99 total patients, 77 underwent STR and 22 underwent RAF. Patient demographics, operative data, and outcomes were collected and analyzed. Recurrence rate and associated risk factors were evaluated. RESULTS: There were no statistically significant differences among patients in terms of clinical characteristics like age, BMI, aetiology, and fistula features. During the follow-up period of 20 months (interquartile range 3.0-41.8 months), a total of 28 patients relapsed, with a significantly lower recurrence rate in the STR group (20.8 %) than in the RAF group (54.6 %) (P = 0.005). In the multivariate Cox analysis, STR was an independent protective factor against recurrence (HR: 0.37, 95%CI: 0.17-0.79, P = 0.01). Logistic regression indicated that there was no statistically significant difference between these two procedures in terms of surgical complications (OR: 0.53, 95%CI: 0.19-1.48, P = 0.23). CONCLUSION: For low- and mid-level RVF, STR may be an alternative option for treatment modality that offers a lower recurrence rate, without observed disadvantage in terms of surgical complication rates.

Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.

This paper delves into the problem of correlated time-series forecasting in practical applications, an area of growing interest in a multitude of fields such as stock price prediction and traffic demand analysis. Current methodologies primarily represent data using conventional graph structures, yet these fail to capture intricate structures with non-pairwise relationships. To address this challenge, we adopt dynamic hypergraphs in this study to better illustrate complex interactions, and introduce a novel hypergraph neural network model named CHNN for correlated time series forecasting. In more detail, CHNN leverages both semantic and topological similarities via an interaction model and hypergraph diffusion process, thereby constructing comprehensive collaborative correlation scores that effectively guide spatial message propagation. In addition, it incorporates short-term temporal information to generate efficient spatio-temporal feature maps. Lastly, a long-term temporal module is proposed to generate future predictions utilizing both temporal attention and a gated recurrent network. Comprehensive experiments conducted on four real-world datasets, i.e., Tiingo, Stocktwits, NYC-Taxi, and Social Network demonstrate that the proposed CHNN markedly outperforms a range of benchmark methods.

Features of synchronous and metachronous dual primary gastric and colorectal cancer.

BACKGROUND: Studies evaluating the characteristics of dual primary gastric and colorectal cancer (CRC) (DPGCC) are limited. AIM: To analyze the clinicopathologic characteristics and prognosis of synchronous and metachronous cancers in patients with DPGCC. METHODS: From October 2010 to August 2021, patients with DPGCC were retrospectively reviewed. The patients with DPGCC were divided into two groups (synchronous and metachronous). We compared the overall survival (OS) between the groups using Kaplan-Meier survival methods. Univariate and multivariate analyses were performed using Cox's proportional hazards model to identify the independent prognostic factors for OS. RESULTS: Of the 76 patients with DPGCC, 46 and 30 had synchronous and metachronous cancers, respectively. The proportion of unresectable CRC in patients with synchronous cancers was higher than that in patients with metachronous cancers (28.3% vs 3.3%, P = 0.015). The majority of the second primary cancers had occurred within 5 years. Kaplan-Meier survival analysis showed that the patients with metachronous cancers had a better prognosis than patients with synchronous cancers (P = 0.010). The patients who had undergone gastrectomy (P < 0.001) or CRC resection (P < 0.001) had a better prognosis than those who had not. In the multivariate analysis, synchronous cancer [hazard ratio (HR) = 6.8, 95% confidence interval (95%CI): 2.0-22.7, P = 0.002)] and stage III-IV gastric cancer (GC) [HR = 10.0, 95%CI: 3.4-29.5, P < 0.001)] were risk prognostic factor for OS, while patients who underwent gastrectomy was a protective prognostic factor for OS [HR = 0.2, 95%CI: 0.1-0.6, P = 0.002]. CONCLUSION: Regular surveillance for metachronous cancer is necessary during postoperative follow-up. Surgical resection is the mainstay of therapy to improve the prognosis of DPGCC. The prognosis appears to be influenced by the stage of GC rather than the stage of CRC. Patients with synchronous cancer have a worse prognosis, and its treatment strategy is worth further exploration.

Hierarchical Graph Pattern Understanding for Zero-Shot Video Object Segmentation.

The optical flow guidance strategy is ideal for obtaining motion information of objects in the video. It is widely utilized in video segmentation tasks. However, existing optical flow-based methods have a significant dependency on optical flow, which results in poor performance when the optical flow estimation fails for a particular scene. The temporal consistency provided by the optical flow could be effectively supplemented by modeling in a structural form. This paper proposes a new hierarchical graph neural network (GNN) architecture, dubbed hierarchical graph pattern understanding (HGPU), for zero-shot video object segmentation (ZS-VOS). Inspired by the strong ability of GNNs in capturing structural relations, HGPU innovatively leverages motion cues (i.e., optical flow) to enhance the high-order representations from the neighbors of target frames. Specifically, a hierarchical graph pattern encoder with message aggregation is introduced to acquire different levels of motion and appearance features in a sequential manner. Furthermore, a decoder is designed for hierarchically parsing and understanding the transformed multi-modal contexts to achieve more accurate and robust results. HGPU achieves state-of-the-art performance on four publicly available benchmarks (DAVIS-16, YouTube-Objects, Long-Videos and DAVIS-17). Code and pre-trained model can be found at https://github.com/NUST-Machine-Intelligence-Laboratory/HGPU.

Rapidly progressing necrotic hand ulcer in a patient with angioimmunoblastic T-cell lymphoma.

Mucormycosis is a fungal infection caused by opportunistic fungi of the phylum Glomeromycota, subphylum Mucormycotina. In developed countries, it affects patients with haematological malignancies undergoing chemotherapy and those who have received allogenic stem cell transplants, while in developing countries it is seen in those with uncontrolled diabetes mellitus. Herein, we report a case of cutaneous mucormycosis in a 67yo Chinese gentleman with background of angioimmunoblastic T cell lymphoma (AITL) on chemotherapy. We also share the clinicopathological findings of this and correlate these findings with those present in the current literature. Finally, we outline treatment options and prognosis of cutaneous mucormycosis.

Effect of esketamine nasal drops on pain in children after tonsillectomy using low temperature plasma ablation.

Objective: To explore the effect of esketamine nasal drops on pain in children after tonsillectomy using low-temperature plasma ablation. Methods: 76 children who underwent tonsillectomy between May 2020 and July 2021, were randomly divided into two groups of 38 cases each. Patients in the control group were treated with conventional medication, while those in the study group were treated with esketamine nasal drops, along with the routine drug treatment. Pain levels of children in the two groups were compared within 1-3 days post-surgery, and the pseudomembrane formation and shedding-off time and recovery time were statistically analyzed. Results: The pain level of children in the study group was lower than that of the control group 1-3 days post-surgery. The pseudomembrane formation and shedding-off time and recovery time in the study group were shorter than in the control group (P < 0.05). There was no significant difference in the incidence of adverse reactions between the two groups, and there were no serious adverse reactions in the two groups (P > 0.05). Conclusion: It is safe to use esketamine nasal drops in children after tonsillectomy using low temperature plasma ablation, and this is found to reduce pain and shorten the recovery time.

Risk factors for postoperative recurrence in patients with stage II colorectal cancer.

BACKGROUND: Recurrences are the main reasons for unfavorable outcomes for patients with stage II colorectal cancer (CRC). To obtain a clear understanding of the high-risk factors, further investigation is warranted. The present study aimed to analyze the risk factors associated with postoperative recurrence in patients with stage II CRC. METHODS: Eligible patients with pathologically confirmed stage II CRC were enrolled in the study retrospectively based on a prospectively maintained database from April 2008 to March 2019. The Kaplan-Meier method were used to calculate the overall survival (OS) rate and the cumulative recurrence rate. Univariate and multivariable Cox regression analyses were performed to identify risk factors for recurrence. RESULTS: There were 2515 patients included, of whom 233 (9.3%) developed local or distant recurrence. Recurrence was associated with a significantly worse 5-year OS (45.4% vs. 95.5%, p < 0.0001). The 5-year cumulative recurrence rate was 13.0% in patients with stage II CRC. On multivariable Cox analysis, tumor size (Hazard Ratio (HR) [95% confidence interval (CI)] = 1.79[1.38, 2.33]), preoperative carbohydrate antigen (CA) 125 level (HR [95% CI] = 1.78[1.17, 2.70]), preoperative CA 199 level (HR [95% CI] = 1.56[1.09, 2.22]), and ulcerating tumor (HR [95% CI] = 1.61[1.19, 2.17]) were found to be associated with postoperative recurrence. Adjuvant chemotherapy was associated with a lower cumulative recurrence rate in patients with these risk factors (p = 0.00096). CONCLUSION: The tumor diameter, preoperative CA125 level, preoperative CA199 level, and an ulcerative tumor can predict postoperative recurrence in patients with stage II CRC, and postoperative chemotherapy could reduce the cumulative recurrence rate in patients with these high-risk factors.

Evaluation of movement functional rehabilitation after stroke: A study via graph theory and corticomuscular coupling as potential biomarker.

Changes in the functional connections between the cerebral cortex and muscles can evaluate motor function in stroke rehabilitation. To quantify changes in functional connections between the cerebral cortex and muscles, we combined corticomuscular coupling and graph theory to propose dynamic time warped (DTW) distances for electroencephalogram (EEG) and electromyography (EMG) signals as well as two new symmetry metrics. EEG and EMG data from 18 stroke patients and 16 healthy individuals, as well as Brunnstrom scores from stroke patients, were recorded in this paper. First, calculate DTW-EEG, DTW-EMG, BNDSI and CMCSI. Then, the random forest algorithm was used to calculate the feature importance of these biological indicators. Finally, based on the results of feature importance, different features were combined and validated for classification. The results showed that the feature importance was from high to low as CMCSI/BNDSI/DTW-EEG/DTW-EMG, while the feature combination with the highest accuracy was CMCSI+BNDSI+DTW-EEG. Compared to previous studies, combining the CMCSI+BNDSI+DTW-EEG features of EEG and EMG achieved better results in the prediction of motor function rehabilitation at different levels of stroke. Our work implies that the establishment of a symmetry index based on graph theory and cortical muscle coupling has great potential in predicting stroke recovery and promises to have an impact on clinical research applications.

Personalized smart voice-based electronic prescription for remote at-home feedback management in cardiovascular disease rehabilitation: a multi-center randomized controlled trial.

Objective: To investigate the quality and efficacy of remote at-home rehabilitation for patients with cardiovascular disease (CVD) using personalized smart voice-based electronic prescription, and further explore the standardized health management mode of remote family cardiac rehabilitation. Trial design: A multicenter, randomized (1:1), non-blind, parallel controlled study. Methods: A total of 171 patients with CVD who were admitted to 18 medical institutions in China from April 2021 to October 2022 were randomly divided into a treatment group (86 cases) and a control group (85 cases) in a non-blinded experiment, based on the sequence of enrollment. The control group received routine at-home rehabilitation training, and the treatment group received remote feedback-based at-home cardiac rehabilitation management based on routine at-home rehabilitation training. The primary outcome was the difference in VO2peak (mL/min/kg) after 12 weeks. A linear mixed model was developed with follow-up as the dependent variable. Age and baseline data were utilized as covariates, whereas hospital and patient characteristics were adjusted as random-effect variables. As the linear mixed model can accommodate missing data under the assumption of random missing data, there was no substitute missing value for quantitative data. Results: A total of 171 participants, with 86 in the experimental group and 85 in the control group, were included in the main analysis. The analysis, which used linear mixing model, revealed significant differences in cardiopulmonary function indexes (VO2/kg peak, VO2peak, AT, METs, and maximum resistance) at different follow-up time (0, 4, and 12 weeks) in the experimental group (p < 0.05). In the control group, there was no significant difference in cardiopulmonary values at different follow-up time (0, 4, and 12 weeks; p > 0.05). VO2/kg peak (LS mean 1.49, 95%CI 0.09-2.89, p = 0.037) and other indicators of cardiopulmonary function (p < 0.05) were significantly different between the experimental group and the control group at week 12. The results were comparable in the complete case analysis. Conclusion: The remote home cardiac rehabilitation management mode using personalized smart voice-based electronic prescription provides several benefits to patients, including improvements in muscle strength, endurance, cardiopulmonary function, and aerobic metabolism. It also helps reduce risk factors for cardiovascular disease and enhances patients' self-management abilities and treatment compliance.Clinical trial registration: http://www.chictr.org.cn, identifier ChiCTR2100044063.

Toward Effective Domain Adaptive Retrieval.

This paper studies the problem of unsupervised domain adaptive hashing, which is less-explored but emerging for efficient image retrieval, particularly for cross-domain retrieval. This problem is typically tackled by learning hashing networks with pseudo-labeling and domain alignment techniques. Nevertheless, these approaches usually suffer from overconfident and biased pseudo-labels and inefficient domain alignment without sufficiently exploring semantics, thus failing to achieve satisfactory retrieval performance. To tackle this issue, we present PEACE, a principled framework which holistically explores semantic information in both source and target data and extensively incorporates it for effective domain alignment. For comprehensive semantic learning, PEACE leverages label embeddings to guide the optimization of hash codes for source data. More importantly, to mitigate the effects of noisy pseudo-labels, we propose a novel method to holistically measure the uncertainty of pseudo-labels for unlabeled target data and progressively minimize them through alternative optimization under the guidance of the domain discrepancy. Additionally, PEACE effectively removes domain discrepancy in the Hamming space from two views. In particular, it not only introduces composite adversarial learning to implicitly explore semantic information embedded in hash codes, but also aligns cluster semantic centroids across domains to explicitly exploit label information. Experimental results on several popular domain adaptive retrieval benchmarks demonstrate the superiority of our proposed PEACE compared with various state-of-the-art methods on both single-domain and cross-domain retrieval tasks. Our source codes are available at https://github.com/WillDreamer/PEACE.

Agreement of corneal high-order aberrations measured by three wavefront aberrometers in myopic adults / 国际眼科杂志(Guoji Yanke Zazhi)

AIM:To evaluate the agreement of corneal high-order aberrations from Topcon KR-1W, i.Profiler and OPD-Scan Ⅲ wavefront aberrometers in myopic adults.METHODS:A prospective clinical study. A total of 92 adult patients(92 eyes)with myopia in the department of optometry, the People's Hospital of Guangxi Zhuang Autonomous Region from June to August 2022 were enrolled. The third-order and fourth-order corneal aberrations at the pupil diameter of 4 and 6mm were measured by Topcon KR-1W, i.Profiler, and OPD-Scan Ⅲ, respectively. The difference and agreement of the three aberrometers were evaluated.RESULTS: The measurements at 6mm pupil diameter were all greater than those at 4mm pupil diameter. Although there were no statistical differences in the measurements of Z-44、Z-24 by the three aberrometers at 4 pupil diameter(P&#x003E;0.05), there were statistical differences in other measurements(P&#x003C;0.05). The aberration results measured by the three aberrometers were statistically different at the 6mm pupil diameter(P&#x003C;0.05). The 95% limit of agreement(95%LoA)of the measurements of higher-order aberration, including the third-order aberrations at 4mm pupil diameter and the third-order and fourth-order aberrations at 6mm pupil diameter(except for the Z-24)were greater than 0.1μm. The concordance correlation coefficient(Pc)was lower than 0.90, indicating a poor consistency. The correlation coefficients of corneal higher-order aberrations were significantly different among the three aberrometers at 4 and 6mm pupil diameter(r4mm=0.215～0.805, P4mm&#x003C;0.05; r6mm=0.561～0.916, P6mm&#x003C;0.001).CONCLUSION:There were significant differences in the measurements of the third- and fourth-order corneal aberrations at 4 and 6mm pupil diameter among Topcon KR-1W, i.Profiler, and OPD-Scan Ⅲ, and the agreements were poor, so they are not interchangeably in clinical applications.

Single-Cell RNA Sequencing Reveals Heterogeneity in the Tumor Microenvironment between Young-Onset and Old-Onset Colorectal Cancer.

BACKGROUND: The incidence of sporadic young-onset colorectal cancer (yCRC) is increasing. Compared with old-onset colorectal cancer (oCRC), yCRC has different clinical and molecular characteristics. However, the difference in the tumor microenvironment (TME) between yCRC and oCRC remains unclear. METHODS: Fourteen untreated CRC tumor samples were subjected to single-cell RNA sequencing analysis. RESULTS: B cells and naïve T cells are enriched in yCRC, while effector T cells and plasma cells are enriched in oCRC. Effector T cells of yCRC show decreased interferon-gamma response and proliferative activity; meanwhile, Treg cells in yCRC show stronger oxidative phosphorylation and TGF-ß signaling than that in oCRC. The down-regulated immune response of T cells in yCRC may be regulated by immune and malignant cells, as we observed a downregulation of antigen presentation and immune activations in B cells, dendritic cells, and macrophages. Finally, we identified malignant cells in yCRC and oCRC with high heterogeneity and revealed their interactions with immune cells in the TME. CONCLUSIONS: Our data reveal significant differences of TME between yCRC and oCRC, of which the TME of yCRC is more immunosuppressive than oCRC. Malignant cells play an essential role in the formation of the suppressive tumor immune microenvironment.

Effect of esketamine vs dexmedetomidine adjunct to propofol sedation for pediatric 3Tesla magnetic resonance imaging: a randomized, double-blind, controlled trial.

BACKGROUND: Adequate sedation is essential for pediatric patients undergoing 3Tesla (T) magnetic resonance imaging (MRI). Using propofol alone is associated with patient arousing and adverse airway events. This study aimed to assess esketamine vs dexmedetomidine adjunct to propofol sedation for pediatric 3 T MRI. METHODS: In this randomized, double-blind, controlled trial, 114 pediatric patients aged between 6 months and 8 years were randomly assigned, in a 1:1 ratio, to the esketamine-propofol group or the dexmedetomidine-propofol group. Sedation was provided with esketamine or dexmedetomidine in combination with propofol titration. The primary outcome was the total dose of propofol. Secondary outcomes included propofol infusion dose, adverse events, time to emergence from sedation, and time to discharge from recovery room. RESULTS: A total of 111 patients completed this study (56 in the esketamine-propofol group and 55 in the dexmedetomidine-propofol group). All MRI procedures were successfully performed under sedation. The total median (IQR) dose of propofol was significantly lower in the esketamine-propofol group (159.8 [121.7, 245.2] µg/kg/min) than that in the dexmedetomidine-propofol group (219.3 [188.6, 314.8] µg/kg/min) (difference in medians [95% CI] = - 66.9 [- 87.8 to - 43.0] µg/kg/min, P < 0.0001). The use of esketamine resulted in a lower dose of propofol for titration (difference in medians [95% CI] = - 64.3 [- 75.9 to - 51.9] µg/kg/min), a shorter time to emergence (difference in means [95% CI] = - 9.4 [- 11.4 to - 7.4] min), and a reduced time to recovery room discharge (difference in means [95% CI] = - 10.1 [- 12.1 to - 8.2] min). In the dexmedetomidine-propofol group, 2 patients experienced upper airway obstruction and 6 patients had bradycardia. No episodes of oxygen desaturation or other adverse events were observed. CONCLUSIONS: Although both regimens provided effective sedation for pediatric 3 T MRI, the esketamine-propofol sedation reduced propofol requirement and facilitated recovery, without detection of increased adverse effects in the studied population. Trial registration Chinese Clinical Trial Registry (identifier: ChiCTR2100048477).

Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-Identification.

Recently, unsupervised person re-identification (Re-ID) has received increasing research attention due to its potential for label-free applications. A promising way to address unsupervised Re-ID is clustering-based, which generates pseudo labels by clustering and uses the pseudo labels to train a Re-ID model iteratively. However, most clustering-based methods take each cluster as a pseudo identity class, neglecting the intra-cluster variance mainly caused by the change of cameras. To address this issue, we propose to split each single cluster into multiple proxies according to camera views. The camera-aware proxies explicitly capture local structures within clusters, by which the intra-ID variance and inter-ID similarity can be better tackled. Assisted with the camera-aware proxies, we design two proxy-level contrastive learning losses that are, respectively, based on offline and online association results. The offline association directly associates proxies according to the clustering and splitting results, while the online strategy dynamically associates proxies in terms of up-to-date features to reduce the noise caused by the delayed update of pseudo labels. The combination of two losses enables us to train a desirable Re-ID model. Extensive experiments on three person Re-ID datasets and one vehicle Re-ID dataset show that our proposed approach demonstrates competitive performance with state-of-the-art methods. Code will be available at: https://github.com/Terminator8758/O2CAP.

Mitochondrion, lysosome, and endoplasmic reticulum: Which is the best target for phototherapy?

Photodynamic therapy (PDT) is a robust cancer treatment modality, and the precise spatiotemporal control of its subcellular action site is crucial for its effectiveness. However, accurate comparison of the efficacy of different organelle-targeted PDT approaches is challenging since it is difficult to find a single system that can achieve separate targeting of different organelles with separable time windows and similar binding amounts. Herein, we conjugated chlorin e6 (Ce6) with 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-[amino(polyethylene glycol)-5000] (ammonium salt) (DSPE-PEG5000-NH2) to afford DSPE-PEG-Ce6, which could migrate from mitochondrion to lysosome and ultimately to endoplasmic reticulum (ER) after cellular internalization. Benefiting from the dynamic subcellular distribution of DSPE-PEG-Ce6 with tunable organelle-binding amounts, we accurately determined the PDT efficacy order of the molecule, i.e., mitochondrion > ER > lysosome. This work proposes an ideal model system for accurately evaluating the specific organelle-targeted PDT efficacy and may promote the future development of effective PDT strategies.