Permutation conditional mutual information to quantify TMS-evoked cortical connectivity in disorders of consciousness.

OBJECTIVE: To improve the understanding and diagnostic accuracy of disorders of consciousness (DOC) by quantifying transcranial magnetic stimulation evoked electroencephalography (TMS-EEG) connectivity using Permutation Conditional Mutual Information (PCMI). Approach: PCMI can characterize the functional connectivity between different brain regions. This study employed PCMI to analyze TMS-evoked cortical connectivity (TEC) in 154 DOC patients and 16 normal controls, focusing on optimizing parameter selection for PCMI (Data length, Order length, Time delay). We compared short-range and long-range PCMI values across different consciousness states-unresponsive wakefulness syndrome (UWS), minimally conscious state (MCS), and normal (NOR)-and assessed various feature selection and classification techniques to distinguish these states. Main Results: 1) PCMI can quantify TEC. We found optimal parameters to be Data length: 500ms; Order: 3; Time delay: 6ms. 2) TMS evoked potentials (TEP) for NOR showed a rich response, while MCS patients showed only a few components, and UWS patients had almost no significant components. The values of PCMI connectivity metrics demonstrated its usefulness for measuring cortical connectivity evoked by TMS. From NOR to MCS to UWS, the number and strength of TEC decreased. Quantitative analysis revealed significant differences in the strength and number of TEC in the entire brain, local regions and inter-regions among different consciousness states. 3) A decision tree with feature selection by mutual information performed the best (balanced accuracy: 87.0% and accuracy: 83.5%). This model could accurately identify NOR (100.0%), but had lower identification accuracy for UWS (86.5%) and MCS (74.1%). Significance: The application of PCMI in measuring TMS-evoked connectivity provides a robust metric that enhances our ability to differentiate between various states of consciousness in DOC patients. This approach not only aids in clinical diagnosis but also contributes to the broader understanding of cortical connectivity and consciousness. .

Sliding mode control strategy based on disturbance observer for permanent magnet in-wheel motor.

A novel sliding mode control(NSMC) strategy combined with a fast terminal sliding mode observer(FTSMO) is suggested in this paper to solve the parameter variation issue of permanent magnet in-wheel motor(PMIWM) installed in the distributed drive electrical vehicle (DDEV). First, a novel sliding mode power converging law is employed to enhance the response speed of the PMIWM controller. Second, an FTSMO is suggested to compensate for the parameter variation of the PMIWM system to strengthen the robustness of the control object. Finally, a fuzzy controller is designed to adjust the control parameters of the NSMC to optimize the control performance. Several simulations and experiments demonstrate that the proposed FTSMO-NSMC scheme can precisely compensate for parameter variation of the control object and improve control accuracy effectively.

Circ_0050444 represses esophageal squamous cell carcinoma progression through sponging miR-486-3p to upregulate C10orf91.

Esophageal squamous cell carcinoma (ESCC) ranks as the fourth leading cause of tumor-related deaths in China. Circ_0050444 has been revealed to be downregulated in ESCC tissues, however, its function and molecular mechanism underlying ESCC progression is unknown. Therefore, we attempted to clarify the functional role and molecular mechanism of circ_0050444 underlying ESCC progression. RT-qPCR and RNase R digestion assays were used to evaluate circ_0050444 expression and stability characteristics in ESCC cells. Gain-of-function assays were conducted to clarify circ_0050444 role in ESCC cell malignant behaviors. Bioinformatics and mechanism experiments were performed to assess the relationship between circ_0050444 or C10orf91 and miR-486-3p in ESCC cells. Rescue assays were conducted to evaluate the regulatory function of the circ_0050444-miR-486-3p-C10orf91 axis in ESCC cellular processes. Circ_0050444 expression was found to be downregulated both in ESCC patient tissues and cell lines. Functionally, circ_0050444 overexpression repressed ESCC cell proliferative, migratory, and invasive capabilities in cultured cells. Mechanistically, circ_0050444 was found to be competitively bound with miR-486-3p to upregulate C10orf91 in ESCC cells. Moreover, the impact of circ_0050444 elevation on ESCC cell proliferation, migration, and invasion was countervailed by C10orf91 silencing. Circ_0050444 presents downregulation and functions as a tumor suppressor in ESCC progression. Circ_0050444 suppresses ESCC proliferation, migration, and invasion through sponging miR-486-3p to upregulate C10orf91, providing a potential new direction for seeking therapeutic plans for ESCC.

Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis.

Accurate state-of-health (SOH) estimation is critical for reliable and safe operation of lithium-ion batteries. However, reliable and stable battery SOH estimation remains challenging due to diverse battery types and operating conditions. In this paper, we propose a physics-informed neural network (PINN) for accurate and stable estimation of battery SOH. Specifically, we model the attributes that affect the battery degradation from the perspective of empirical degradation and state space equations, and utilize neural networks to capture battery degradation dynamics. A general feature extraction method is designed to extract statistical features from a short period of data before the battery is fully charged, enabling our method applicable to different battery types and charge/discharge protocols. Additionally, we generate a comprehensive dataset consisting of 55 lithium-nickel-cobalt-manganese-oxide (NCM) batteries. Combined with three other datasets from different manufacturers, we use a total of 387 batteries with 310,705 samples to validate our method. The mean absolute percentage error (MAPE) is 0.87%. Our proposed PINN has demonstrated remarkable performance in regular experiments, small sample experiments, and transfer experiments when compared to alternative neural networks. This study highlights the promise of physics-informed machine learning for battery degradation modeling and SOH estimation.

Targeting OXCT1-mediated ketone metabolism reprograms macrophages to promote antitumor immunity via CD8+ T cells in hepatocellular carcinoma.

BACKGROUND & AIMS: The liver is the main organ of ketogenesis, while ketones are mainly metabolized in peripheral tissues via the critical enzyme 3-oxoacid CoA-transferase 1 (OXCT1). We previously found that ketolysis is reactivated in hepatocellular carcinoma (HCC) cells through OXCT1 expression to promote tumor progression; however, whether OXCT1 regulates antitumor immunity remains unclear. METHODS: To investigate the expression pattern of OXCT1 in HCC in vivo, we conducted multiplex immunohistochemistry experiments on human HCC specimens. To explore the role of OXCT1 in mouse HCC tumor-associated macrophages (TAMs), we generated LysMcreOXCT1f/f (OXCT1 conditional knockout in macrophages) mice. RESULTS: Here, we found that inhibiting OXCT1 expression in tumor-associated macrophages reduced CD8+ T-cell exhaustion through the succinate-H3K4me3-Arg1 axis. Initially, we found that OXCT1 was highly expressed in liver macrophages under steady state and that OXCT expression was further increased in TAMs. OXCT1 deficiency in macrophages suppressed tumor growth by reprogramming TAMs toward an antitumor phenotype, reducing CD8+ T-cell exhaustion and increasing CD8+ T-cell cytotoxicity. Mechanistically, high OXCT1 expression induced the accumulation of succinate, a byproduct of ketolysis, in TAMs, which promoted Arg1 transcription by increasing the H3K4me3 level in the Arg1 promoter. In addition, pimozide, an inhibitor of OXCT1, suppressed Arg1 expression as well as TAM polarization toward the protumor phenotype, leading to decreased CD8+ T-cell exhaustion and slower tumor growth. Finally, high expression of OXCT1 in macrophages was positively associated with poor survival in patients with HCC. CONCLUSIONS: In conclusion, our results demonstrate that OXCT1 epigenetically suppresses antitumor immunity, suggesting that suppressing OXCT1 activity in TAMs could be an effective approach for treating liver cancer. IMPACT AND IMPLICATIONS: The intricate metabolism of liver macrophages plays a critical role in shaping hepatocellular carcinoma progression and immune modulation. Targeting macrophage metabolism to counteract immune suppression presents a promising avenue for hepatocellular carcinoma treatment. Herein, we found that the ketogenesis gene OXCT1 was highly expressed in tumor-associated macrophages (TAMs) and promoted tumor growth by reprogramming TAMs toward a protumor phenotype. Pharmacological targeting or genetic downregulation of OXCT1 in TAMs enhances antitumor immunity and slows tumor growth. Our results suggest that suppressing OXCT1 activity in TAMs could be an effective approach for treating liver cancer.

Differentiation of Type 17 Mucosal-Associated Invariant T Cells in Circulation Contributes to the Severity of Sepsis.

Mucosal-associated invariant T (MAIT) cells are essential in defending against infection. Sepsis is a systemic inflammatory response to infection and a leading cause of death. The relationship between the overall competency of the host immune response and disease severity is not fully elucidated. This study identified a higher proportion of circulating MAIT17 with expression of IL-17A and retinoic acid receptor-related orphan receptor γt in patients with sepsis. The proportion of MAIT17 was correlated with the severity of sepsis. Single-cell RNA-sequencing analysis revealed an enhanced expression of lactate dehydrogenase A (LDHA) in MAIT17 in patients with sepsis. Cell-culture experiments demonstrated that phosphoinositide 3-kinase-LDHA signaling was required for retinoic acid receptor-related orphan receptor γt expression in MAIT17. Finally, the elevated levels of plasma IL-18 promoted the differentiation of circulating MAIT17 cells in sepsis. In summary, this study reveals a new role of circulating MAIT17 in promoting sepsis severity and suggests the phosphoinositide 3-kinase-LDHA signaling as a driving force in MAIT17 responses.

Targeting pathogenic CD8+ tissue-resident T cells with chimeric antigen receptor therapy in murine autoimmune cholangitis.

Primary biliary cholangitis (PBC) is a cholestatic autoimmune liver disease characterized by autoreactive T cell response against intrahepatic small bile ducts. Here, we use Il12b-/-Il2ra-/- mice (DKO mice) as a model of autoimmune cholangitis and demonstrate that Cd8a knockout or treatment with an anti-CD8α antibody prevents/reduces biliary immunopathology. Using single-cell RNA sequencing analysis, we identified CD8+ tissue-resident memory T (Trm) cells in the livers of DKO mice, which highly express activation- and cytotoxicity-associated markers and induce apoptosis of bile duct epithelial cells. Liver CD8+ Trm cells also upregulate the expression of several immune checkpoint molecules, including PD-1. We describe the development of a chimeric antigen receptor to target PD-1-expressing CD8+ Trm cells. Treatment of DKO mice with PD-1-targeting CAR-T cells selectively depleted liver CD8+ Trm cells and alleviated autoimmune cholangitis. Our work highlights the pathogenic role of CD8+ Trm cells and the potential therapeutic usage of PD-1-targeting CAR-T cells.

Lymphatic endothelial cell-mediated accumulation of CD177+Treg cells suppresses antitumor immunity in human esophageal squamous cell carcinoma.

Regulatory T (Treg) cells are critical in shaping an immunosuppressive microenvironment to favor tumor progression and resistance to therapies. However, the heterogeneity and function of Treg cells in esophageal squamous cell carcinoma (ESCC) remain underexplored. We identified CD177 as a tumor-infiltrating Treg cell marker in ESCC. Interestingly, expression levels of CD177 and PD-1 were mutually exclusive in tumor Treg cells. CD177+ Treg cells expressed high levels of IL35, in association with CD8+ T cell exhaustion, whereas PD-1+ Treg cells expressed high levels of IL10. Pan-cancer analysis revealed that CD177+ Treg cells display increased clonal expansion compared to PD-1+ and double-negative (DN) Treg cells, and CD177+ and PD-1+ Treg cells develop from the same DN Treg cell origin. Importantly, we found CD177+ Treg cell infiltration to be associated with poor overall survival and poor response to anti-PD-1 immunotherapy plus chemotherapy in ESCC patients. Finally, we found that lymphatic endothelial cells are associated with CD177+ Treg cell accumulation in ESCC tumors, which are also decreased after anti-PD-1 immunotherapy plus chemotherapy. Our work identifies CD177+ Treg cell as a tumor-specific Treg cell subset and highlights their potential value as a prognostic marker of survival and response to immunotherapy and a therapeutic target in ESCC.

One-step construction of multiplexed enzymatic biosensors using light-addressable electrochemistry on a single silicon photoelectrode.

The multiplexed detection of metabolites in parallel within a single biosensor plate is sufficiently valuable but also challenging. Herein, we combine the inherent light addressability of silicon with the high selectivity of enzymes, for the construction of multiplexed photoelectrochemical enzymatic biosensors. To conduct a stable electrochemistry and reagentless biosensing on silicon, a new strategy involving the immobilization of both redox mediators and enzymes using an amide bond-based hydrogel membrane was proposed. The membrane characterization results demonstrated a covalent coupling of ferrocene mediator to hydrogel, in which the mediator acted as not only a signal generator but also a renewable sacrifice agent. By adding corresponding enzymes on different spots of hydrogel membrane modified silicon and recording local photocurrents with a moveable light pointer, this biosensor setup was used successfully to detect multiple metabolites, such as lactate, glucose, and sarcosine, with good analytical performances. The limits of detection of glucose, sarcosine and lactate were found to be 179 µM, 16 µM, and 780 µM with the linear ranges of 0.5-2.5 mM, 0.3-1.5 mM, and 1.0-3.0 mM, respectively. We believe this proof-of-concept study provides a simple and rapid one-step immobilization approach for the fabrication of reagentless enzymatic assays with silicon-based light-addressable electrochemistry.

Conductance Evolution of Photoisomeric Single-Molecule Junctions under Ultraviolet Irradiation and Mechanical Stretching.

A comprehensive understanding of carrier transport in photoisomeric molecular junctions is crucial for the rational design and delicate fabrication of single-molecule functional devices. It has been widely recognized that the conductance of azobenzene (a class of photoisomeric molecules) based molecular junctions is mainly determined by photoinduced conformational changes. In this study, it is demonstrated that the most probable conductance of amine-anchored azobenzene-based molecular junctions increases continuously upon UV irradiation. In contrast, the conductance of pyridyl-anchored molecular junctions with an identical azobenzene core exhibits a contrasting trend, highlighting the pivotal role that anchoring groups play, potentially overriding (even reversing) the effects of photoinduced conformational changes. It is further demonstrated that the molecule with cis-conformation cannot be fully mechanically stretched into the trans-conformation, clarifying that it is a great challenge to realize a reversible molecular switch by purely mechanical operation. Additionally, it is revealed that the coupling strength of pyridyl-anchored molecules is dramatically weakened when the UV irradiation time is prolonged, whereas it is not observed for amine-anchored molecules. The mechanisms for these observations are elucidated with the assistance of density functional theory calculations and UV-Vis spectra combined with flicker noise measurements which confirm the photoinduced conformational changes, providing insight into understanding the charge transport in photoisomeric molecular junctions and offering a routine for logical designing synchro opto-mechanical molecular switches.

The Influence of the Preoperative Albumin to Alkaline Phosphatase Ratio on Overall Survival in Post-Radical Surgery for Colorectal Cancer and the Construction of a Nomogram Prediction Model.

PURPOSE: The albumin to alkaline phosphatase ratio (AAPR) is a newly developed blood biomarker that has been reported to have prognostic value in several types of cancers. The aim of this study was to investigate the predictive value of AAPR in overall survival after radical colon cancer surgery in patients with stage I-III colorectal cancer (CRC). METHODS: The clinical data of 221 eligible patients with stage I ∼ III CRC were retrospectively analyzed. A series of survival analyses were performed to assess the prognostic value of AAPR. Univariate and multifactorial Cox analyses were performed to identify independent risk factors. Columnar graph prediction models were further constructed based on independent risk factors such as AAPR, and their predictive properties were validated. RESULTS: The optimal cutoff value of preoperative AAPR for postoperative overall survival (OS) in patients undergoing laparoscopic radical CRC was .495 as shown by univariate and multifactorial Cox regression analysis. The factors of age ≤65 years, Tumor-Node-Metastasis (TNM) stage I-II, tumor grading (high/medium differentiation), CEA ≤5, and AAPR ≥.495 were associated with better OS (P < .05). CONCLUSIONS: Preoperative AAPR level was a good predictor of postoperative survival in patients undergoing laparoscopic radical CRC surgery, and AAPR <.495 was an independent risk factor for decreased postoperative OS.

Engineering a biomimetic system for hepatocyte-specific RNAi treatment of non-alcoholic fatty liver disease.

RNA interference (RNAi) presents great potential against intractable liver diseases. However, the establishment of specific, efficient, and safe delivery systems targeting hepatocytes remains a great challenge. Herein, we described a promising hepatocytes-targeting system through integrating triantennary N-acetylgalactosamine (GalNAc)-engineered cell membrane with biodegradable mesoporous silica nanoparticles, which efficiently and safely delivered siRNA to hepatocytes and silenced the target PCSK9 gene expression for the treatment of non-alcoholic fatty liver disease. Having optimized the GalNAc-engineering strategy, insertion orders, and cell membrane source, we obtained the best-performing GalNAc-formulations allowing strong hepatocyte-specific internalization with reduced Kupffer cell capture, resulting in robust gene silencing and less hepatotoxicity when compared with cationic lipid-based GalNAc-formulations. Consequently, a durable reduction of lipid accumulation and damage was achieved by systemic administering siRNAs targeting PCSK9 in high-fat diet-fed mice, accompanied by displaying desirable safety profiles. Taken together, this GalNAc-engineering biomimetics represented versatile, efficient, and safe carriers for the development of hepatocyte-specific gene therapeutics, and prevention of metabolic diseases. STATEMENT OF SIGNIFICANCE: Compared to MSN@LP-GN3 (MC3-LNP), MSN@CM-GN3 exhibited strong hepatocyte targeting and Kupffer cell escaping, as well as good biocompatibility for safe and efficient siRNA delivery. Furthermore, siPCSK9 delivered by MSN@CM-GN3 reduced both serum and liver LDL-C, TG, TC levels and lipid droplets in HFD-induced mice, resulting in better performance than MSN/siPCSK9@LP-GN3 in terms of lipid-lowering effect and safety profiles. These findings indicated promising advantages of our biomimetic GN3-based systems for hepatocyte-specific gene delivery in chronic liver diseases. Our work addressed the challenges associated with the lower targeting efficiency of cell membrane-mimetic drug delivery systems and the immunogenicity of traditional GalNAc delivery systems. In conclusion, this study provided an effective and versatile approach for efficient and safe gene editing using ligand-integrated biomimetic nanoplatforms.

Evaluation of brain function in adult patent ductus arteriosus surgery: A multimodal monitoring approach.

Adult patent ductus arteriosus (PDA) repair surgery often involves hypothermic cardiopulmonary bypass (CPB) and is associated with postoperative neurological complications. Our study evaluates brain function during PDA surgery using regional cerebral oxygen saturation (rSO2) and bispectral index (BIS) monitoring to mitigate these complications. Patients were categorized into moderate (26-31 â„ƒ) and mild (32-35 â„ƒ) hypothermia groups. Findings indicate a positive correlation between PDA diameter and pulmonary artery systolic blood pressure, and a strong correlation between delirium and average rSO2-AUC. The mild hypothermia group had longer extubation and hospitalization times. During CPB, rSO2 levels fluctuated significantly, and EEG analysis revealed changes in brain wave patterns. One case of nerve injury in the mild hypothermia group showed incomplete recovery after a year. Our results advocate for moderate hypothermia during CPB in adult PDA repair, suggesting that combined rSO2 and BIS monitoring can reduce neurological complications post-surgery.

Intravenous Senescent Erythrocyte Vaccination Modulates Adaptive Immunity and Splenic Complement Production.

Targeted delivery of vaccines to the spleen remains a challenge. Inspired by the erythrophagocytotic process in the spleen, we herein report that intravenous administration of senescent erythrocyte-based vaccines profoundly alters their tropism toward splenic antigen-presenting cells (APCs) for imprinting adaptive immune responses. Compared with subcutaneous inoculation, intravenous vaccination significantly upregulated splenic complement expression in vivo and demonstrated synergistic antibody killing in vitro. Consequently, intravenous senescent erythrocyte vaccination produces potent SARS-CoV-2 antibody-neutralizing effects, with potential protective immune responses. Moreover, the proposed senescent erythrocyte can deliver antigens from resected tumors and adjuvants to splenic APCs, thereby inducing a personalized immune reaction against tumor recurrence after surgery. Hence, our findings suggest that senescent erythrocyte-based vaccines can specifically target splenic APCs and evoke adaptive immunity and complement production, broadening the tools for modulating immunity, helping to understand adaptive response mechanisms to senescent erythrocytes better, and developing improved vaccines against cancer and infectious diseases.

Impact of Opioid-Free Anesthesia on Postoperative Quality of Recovery in Patients After Laparoscopic Cholecystectomy-A Randomized Controlled Trial.

Purpose: Opioid analgesics may delay discharge and affect postoperative quality of recovery because of their significant adverse effects, such as hyperalgesia, postoperative nausea and vomiting (PONV), shivering and urine retention. We aimed to compare the quality of postoperative recovery (QoR) between patients undergoing laparoscopic cholecystectomy surgeries with opioid-free anesthesia (OFA) and those with opioid-based anesthesia (OA). Patients and Methods: 80 adult patients undergoing laparoscopic cholecystectomy were randomly allocated to an opioid-free anesthesia group (Group OFA) or an opioid-based anesthesia group (Group OA). The primary outcome was the quality of postoperative recovery using QoR-15 scale on postoperative day 1 (POD 1) and 2 (POD 2). The secondary outcomes included the incidence of opioid-related adverse symptoms, perioperative hemodynamic data, duration of post-anesthesia care unit (PACU) stay and duration of extubation, and the incidences of hypotension and bradycardia. Results: A statistically significant difference in total QoR-15 was observed between the two groups on POD 1 and POD 2 (91.00 (90.00, 92.00) vs 113.00 (108.25, 115.00), 106.00 (104.00, 112.00) vs 133.00 (130.00, 135.00), P < 0.001). The incidence of opioid-related symptoms was significantly different between the two groups on POD 1 (P < 0.05). There were between-group differences in systolic blood pressure (SBP) and diastolic blood pressure (DBP) at T3 (P < 0.001). There was also a significant difference in the incidence of hypotension between the two groups (P = 0.001). However, there were no significant differences in the duration of PACU stay, duration of extubation and the incidence of bradycardia (P > 0.05). There was no difference in heart rate between the two groups at all observed time points, either (P > 0.05). Conclusion: We concluded that the quality of recovery of patients receiving OFA was superior to those receiving OA after laparoscopic cholecystectomy.

Effect of ultrasound-guided femoral nerve block with dexmedetomidine and ropivacaine on postoperative analgesia in patients undergoing total knee arthroplasty: a randomized controlled trial.

Background: Dexmedetomidine, a potent and highly selective α2-adrenoreceptor agonist, has become a popular adjuvant to local anesthetics. This study was designed to investigate the effect of dexmedetomidine with ropivacaine for femoral nerve block on postoperative analgesia after total knee arthroplasty. Methods: Forty-six patients after total knee arthroplasty received ultrasound-guided femoral nerve block with either 0.3% ropivacaine alone (group R) or 0.3% ropivacaine with 0.5 µg/kg dexmedetomidine (group RD). Total 24-h sufentanil consumption, visual analogue scale (VAS) pain scores, frequency of patient-controlled analgesia (PCA) pressed, Ramsay sedation score, the incidence of bradycardia and hypotension, and incidence of postoperative nausea and vomiting (PONV) were recorded. Results: Compared to group R, the total 24-h sufentanil consumption was significantly reduced (110.76 ± 11.56 vs. 99.09 ± 13.31; P<0.05), the VAS scores were lower at 10 and 12 h postoperatively [3(2-3) vs. 2(1-2) and 3(2-3) vs. 2(1-3), respectively; P<0.05], the frequency of PCA pressed was lower at 8-12 and 12-16-h time intervals [(5(3-6) vs. 2(1-3) and 4(3-4) vs. 2(1-3), respectively; P<0.05]. However, there were no differences in Ramsay's sedation score and the incidence of PONV. Also, no patient experienced bradycardia and hypotension. Conclusions: 0.5 µg/kg dexmedetomidine with 0.3% ropivacaine for femoral nerve block significantly decreased the total 24-h sufentanil consumption, prolonged and enhanced the analgesic efficacy of ropivacaine, without clinically relevant cardiovascular depression or over-sedation in patients undergoing total knee arthroplasty.

Inherently Interpretable Physics-Informed Neural Network for Battery Modeling and Prognosis.

Lithium-ion batteries are widely used in modern society. Accurate modeling and prognosis are fundamental to achieving reliable operation of lithium-ion batteries. Accurately predicting the end-of-discharge (EOD) is critical for operations and decision-making when they are deployed to critical missions. Existing data-driven methods have large model parameters, which require a large amount of labeled data and the models are not interpretable. Model-based methods need to know many parameters related to battery design, and the models are difficult to solve. To bridge these gaps, this study proposes a physics-informed neural network (PINN), called battery neural network (BattNN), for battery modeling and prognosis. Specifically, we propose to design the structure of BattNN based on the equivalent circuit model (ECM). Therefore, the entire BattNN is completely constrained by physics. Its forward propagation process follows the physical laws, and the model is inherently interpretable. To validate the proposed method, we conduct the discharge experiments under random loading profiles and develop our dataset. Analysis and experiments show that the proposed BattNN only needs approximately 30 samples for training, and the average required training time is 21.5 s. Experimental results on three datasets show that our method can achieve high prediction accuracy with only a few learnable parameters. Compared with other neural networks, the prediction MAEs of our BattNN are reduced by 77.1%, 67.4%, and 75.0% on three datasets, respectively. Our data and code will be available at: https://github.com/wang-fujin/BattNN.

Regulating the orientation of a single coordinate bond by the synergistic action of mechanical forces and electric field.

The molecular binding orientation with respect to the electrode plays a pivotal role in determining the performance of molecular devices. However, accomplishing in situ modulation of single-molecule binding orientation remains a great challenge due to the lack of suitable testing systems and characterization approaches. To this end, by employing a developed STM-BJ technique, we demonstrate that the conductance of pyridine-anchored molecular junctions decreases as the applied voltage increases, which is determined by the repeated formation of thousands of gold-molecule-gold dynamic break junctions. In contrast, the static fixed molecular junctions (the distance between two electrodes is fixed) with identical molecules exhibit a reverse tendency as the bias voltage increases. Supported by flicker noise measurements and theoretical calculations, we provide compelling evidence that the orientation of nitrogen-gold bonds (a universal coordinate bond) in the pyridine-anchored molecular junctions can be manipulated to align with the electric field by the synergistic action of the mechanical stretching force and the electric fields, whereas either stimulus alone cannot achieve the same effect. Our study provides a framework for characterizing and regulating the orientation of a single coordinate bond, offering an approach to control electron transport through single molecular junctions.

METTL3-mediated m6 A modification of circPRKAR1B promotes Crohn's colitis by inducing pyroptosis via autophagy inhibition.

BACKGROUND: The roles of circRNA and N6-methyladenosine (m6 A) methylation in Crohn's disease (CD) have drawn much attention. Therefore, this investigation aimed to discover how the m6 A modification of circRNAs contributes to CD progression. METHODS: The study performed circRNA sequencing on colon samples from four CD patients and four normal controls (NCs) to screen for dysregulated circRNAs. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to validate the candidate circRNA expression and determine its correlation to CD-associated inflammatory indicators. In vivo and in vitro investigations were conducted to examine the functions and pathways of circPRKAR1B in CD, besides investigating the m6 A modification role in circRNA expression modulation. RESULTS: The RNA-seq revealed that hsa_circ_0008039 (circPRKAR1B) was the most significant upregulated circRNA and was identified as the candidate circRNA for further examinations. Relative circPRKAR1B expression was significantly upregulated in CD colon tissues and closely related to CD-associated inflammatory indices. The circPRKAR1B expression and function were regulated by methyltransferase-like 3 (METTL3)-mediated m6 A methylation. In vitro studies indicated that circPRKAR1B promoted pyroptosis mediated by NLRP3 inflammasome (NLRP3; nucleotide-binding oligomerization domain, leucine-rich repeat and pyrin domain-containing 3) and impaired autophagy by interacting with the RNA-binding protein (RBP) SPTBN1, (SPTBN1; spectrin beta, non-erythrocytic 1). The in vivo investigations revealed the treatment effects of si-circPRKAR1B and si-METTL3 in colitis models of IL-10-deficient mice. CONCLUSION: Our study reveals that METTL3-mediated m6 A modification of circPRKAR1B promotes Crohn's colitis by aggravating NLRP3 inflammasome-mediated pyroptosis via autophagy impairment in colonic epithelial cells.

Dynamic single-cell mapping unveils Epstein‒Barr virus-imprinted T-cell exhaustion and on-treatment response.

Epstein‒Barr virus (EBV)-associated gastric cancer (GC) manifests an intriguing immunotherapy response. However, the cellular basis for EBV-imprinted tumour immunity and on-treatment response remains undefined. This study aimed to finely characterize the dynamic tumour immune contexture of human EBV (+) GC treated with immunochemotherapy by longitudinal scRNA-seq and paired scTCR/BCR-seq. EBV (+) GC exhibits an inflamed-immune phenotype with increased T-cell and B-cell infiltration. Immunochemotherapy triggers clonal revival and reinvigoration of effector T cells which step to determine treatment response. Typically, an antigen-specific ISG-15+CD8+ T-cell population is highly enriched in EBV (+) GC patients, which represents a transitory exhaustion state. Importantly, baseline intratumoural ISG-15+CD8+ T cells predict immunotherapy responsiveness among GC patients. Re-emerged clonotypes of pre-existing ISG-15+CD8+ T cells could be found after treatment, which gives rise to a CXCL13-expressing effector population in responsive EBV (+) tumours. However, LAG-3 retention may render the ISG-15+CD8+ T cells into a terminal exhaustion state in non-responsive EBV (+) tumours. In accordance, anti-LAG-3 therapy could effectively reduce tumour burden in refractory EBV (+) GC patients. Our results delineate a distinct implication of EBV-imprinted on-treatment T-cell immunity in GC, which could be leveraged to optimize the rational design of precision immunotherapy.