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Abstract Distant metastasis is the leading cause of cancer-related mortality, and achieving survival benefits through advancements in systemic therapy remains challenging. Mast cells play a dual role in shaping the tumor microenvironment (TME) and influencing distant metastasis, underscoring the significant research value of targeting mast cells for systemic therapy in advanced cancer. We investigated variations in mast cell infiltration levels in primary and metastatic malignancies using immunocyte infiltration analysis. Mast cell subsets were identified from pan-cancer distant metastasis single-cell sequencing data through dimensionality reduction clustering and cell type annotation, combined with cell trajectory and communication network analyses. A prognostic model was established using WGCNA and 12 machine learning algorithms to identify potential mast cell targets. Drug sensitivity and Mendelian randomization analyses were conducted to select potential drugs targeting mast cells, and their effects on epithelial-mesenchymal transition (EMT) were validated through in vitro experiments, including wound healing, transwell, and western blot assays. Results revealed that activated mast cells show increased infiltration in metastatic tumors, correlating with poor survival duration. XBP1+ mast cells were identified as key components of the inhibitory TME, potentially involved in EMT activation. Simvastatin was identified as a potential drug, reversing EMT induced by XBP1+ mast cells in pan-cancer. Aberrant activation of MEK/ERK signaling in XBP1+ mast cells can stimulate cancer cell EMT by modulating degranulation, while Simvastatin can inhibit EMT by suppressing degranulation.

Abstract Green consumption is critical for achieving sustainable development goals. Many studies have focused on explaining why customers choose green consumption, but rarely have scholars considered the significant impacts of the psychological costs. This study conducted an online survey of 677 sampled individuals in China. A structural equation model (SEM) was adopted to explore how three types of psychological costs (i.e., stress, stigma, and autonomy) moderate the indirect relationships of perceived hedonic value and perceived utilitarian value with green consumption (i.e., green purchasing, recycling, and refusing to use disposable products) through the willingness to pay a green premium (WPGP). The results show that perceived values can promote green consumption behaviours by increasing WPGP. In addition, the indirect benefit of perceived hedonic value was shown to be stronger than that of perceived utilitarian value. However, the direct association of perceived hedonic value with green consumption was shown to be weaker (compared to perceived utilitarian value) when the influence of WPGP was excluded. Moreover, the indirect associations of perceived hedonic value with green consumption were stronger among individuals with high stress than those with low stress. In contrast, the indirect associations of perceived utilitarian value on green consumption were weaker for people with high stigma than those with low stigma. However, no evidence was found to show that autonomy can moderate the indirect relationships. These findings emphasize the different mechanisms of perceived hedonic value and perceived utilitarian value on green consumption, as well as the moderating role of psychological costs in understanding the relationship between perceived value and green consumption. Accordingly, this study suggests that policymakers should highlight the hedonic value rather than the utilitarian when encouraging a green lifestyle that involves a green premium. This is particularly true of situations with a high level of customers’ psychological costs. However, if there is no way to further increase people’s WPGP, then promoting the utilitarian value should be used to promote green consumption.

In view of color deviation, low contrast, and blurring in underwater images, an underwater image enhancement method based on scattered light compensation combined with color preservation and contrast balance was proposed. Firstly, the relative total variational model was used to separate the structure and texture layer of the image. Specifically, the color deviation of the structural layer was corrected by defining a compensation coefficient error matrix based on the RGB spatial mapping, and the texture layer was enhanced by filtering separation and fusion to prevent the initial feature loss of the image. The enhanced texture layer was superimposed with the structural layer to obtain the output of the first layer. Besides, in the contrast balance module, color preservation-contrast limiting adaptive histogram equalization based on spatial transformation was performed to further improve the contrast and brightness. Finally, the enhanced results of the two layers were fused to output the image. Comparison conducted on different datasets verifies that the proposed method has better performance in balancing color deviation, enhancing details, and deblurring, which has practical application value in unmanned undersea system-based vision tasks.

Abstract Background In recent times, the American Heart Association has updated its approach to evaluating cardiovascular health (CVH) by replacing the previous “Life’s Simple 7” with the more demanding “Life’s Essential 8” (LE8). However, the impact of enhancing CVH on reducing the risk of pre-sarcopenia and the association of LE8 metrics with pre-sarcopenia remain unexplored. Methods LE8 score was calculated among 9857 participants. Multivariable logistic regression was utilized to investigate the associations between LE8 and pre-sarcopenia. Additionally, the weighted quantile sum (WQS) model was employed to determine the combined and individual impact of LE8 metrics on pre-sarcopenia. To assess the indirect effects of peripheral immune responses on the relationships between cardiovascular health and pre-sarcopenia, mediation analyses were performed. Results In this study, 827 participants had pre-sarcopenia. After accounting for potential confounding factors, the group with excellent cardiovascular health demonstrated an 83% lower risk of pre-sarcopenia compared to the poor cardiovascular health group (OR: 0.17, 95% CI: 0.11–0.27) and a 33% decreased risk of pre-sarcopenia for each 10-point increase in LE8 score (OR: 0.67, 95% CI: 0.62–0.73). Body mass index (BMI) and physical activity (PA) were the critical contributors that decreased the prevalence of pre-sarcopenia in the obese and non-obese populations, respectively. Conclusions A negative association was found between LE8 score and pre-sarcopenia prevalence. Body mass index and physical activity are the primary contributors to the obese and non-obese populations, respectively.

Abstract Posttranslational modifications (PTMs) of tubulin, termed the “tubulin code”, play important roles in regulating microtubule functions within subcellular compartments for specialized cellular activities. While numerous tubulin PTMs have been identified, a comprehensive understanding of the complete repertoire is still underway. In this study, we report that α-tubulin lactylation is catalyzed by HDAC6 by using lactate to increase microtubule dynamics in neurons. We identify lactylation on lysine 40 of α-tubulin in the soluble tubulin dimers. Notably, lactylated α-tubulin enhances microtubule dynamics and facilitates neurite outgrowth and branching in cultured hippocampal neurons. Moreover, we discover an unexpected function of HDAC6, acting as the primary lactyltransferase to catalyze α-tubulin lactylation. HDAC6-catalyzed lactylation is a reversible process, dependent on lactate concentrations. Intracellular lactate concentration triggers HDAC6 to lactylate α-tubulin, a process dependent on its deacetylase activity. Additionally, the lactyltransferase activity may be conserved in HDAC family proteins. Our study reveals the primary role of HDAC6 in regulating α-tubulin lactylation, establishing a link between cell metabolism and cytoskeleton functions.

Abstract Introduction The use of stereotactic ablative radiotherapy (SABR) over conventional fractionated radiotherapy (CFRT) for early‐stage non‐small‐cell lung cancer (NSCLC) has been advocated, but is also debated in the literature. Methods In this retrospective cohort study, we adopted a target trial emulation framework to identify eligible patients diagnosed between 2011 and 2021 using the Taiwan Cancer Registry. In the primary analysis, the overall survival (OS) was the primary endpoint, whereas incidences of lung cancer mortality and radiation pulmonary toxicity were the secondary endpoints. Extensive supplementary analyses were also conducted. Results We included 351 patients in the primary analysis and found that the OS was not significantly different between the SABR (n = 290) and CFRT (n = 61) groups. The propensity score weighting adjusted hazard ratio of death was 0.75 (95% confidence interval 0.53–1.07, p = 0.118). The secondary endpoints and supplementary analyses showed no significant differences. Conclusions The OS of patients with early‐stage NSCLC treated with SABR was not significantly different from that of patients treated with CFRT alone. The results of the relevant ongoing clinical trials are eagerly awaited.

Dexamethasone (DEX) is used to treat ocular surface diseases. However, regulating DEX duration in tears while preventing its absorption into the anterior chamber is critical for balancing its therapy effects and the side effects. In this study, a novel magnetic nanoparticle (MNP)-micelle (MC) co-delivery system (MMDS) was developed. The MC moiety in the MMDS served as the carrier for DEX and the MNP part endowed the MMDS with magnetic-responsive properties. To extend its residency, the MMDS was magnetically attracted by an external magnet after instilling, which acted as a precorneal drug-depot enabling a sustainable release of DEX in tears. With combination of magnet treatment, the topical instillation of MMDS@DEX significantly prolonged the DEX-retention in tears and increased the DEX-concentration in the cornea and conjunctiva, as well as concurrently reduced the DEX-level in the aqueous humor, when compared with the commercial DEX eye drop treatment. The combination of MMDS@DEX and magnet treatment exerted significantly better therapeutic effects against DED with smaller side effects than conventional treatments including DEX suspension, commercial DEX eye drops, as well as the MMDS@DEX treatment alone. The present work provided a new method for the effective delivery of DEX to ocular surface tissues while reducing its side effects, which will be beneficial to the treatments of a wide range of ocular surface diseases.

Infectious diarrhea is a common disease that endanger both human and livestock animals. However, there are limited safety strategy for preventing Enterotoxigenic Escherichia coli (ETEC) induced diarrhea. A mouse diarrhea model was established by orally administering ETEC following andrographolide pretreatment. Pretreatment with andrographolide improved the body weight losses, diarrhea, intestinal barrier dysfunction and inflammation of ETEC infected mice. Andrographolide pretreatment protected against the ETEC-induced downregulation of intestinal Na+/H+ exchange protein 3 (Nhe3) and upregulation of cystic fibrosis transmembrane conductance regulator (Cftr) mRNA expression. Andrographolide pretreatment also reduced coliform colonization in the jejunum but did not affect fecal coliform levels in infected mice. By using an in vitro model, it was shown that andrographolide downregulated the expression of virulence factors involved in ETEC k88 colonization, as well as heat-labile and heat-stable enterotoxins. These results unveil a novel finding that andrographolide protect against ETEC infection by regulating its virulence factors.

Objective: To understand the virulence genes and molecular epidemiological characteristics of human-infected strains of Streptococcus suis in Rui'an, Zhejiang Province, from 2021 to 2022, and to provide a scientific basis for diagnosis, treatment, prevention, and control. Methods: Three blood-borne strains of Streptococcus suis were analysed by morphological observation, identification, and drug sensitivity tests. We performed polymerase chain reaction (PCR) amplification of their main seven virulence factors and housekeeping genes. This was followed by virulence analysis and multilocus sequence typing. We analysed their relationships with local pathogens from previous years. Results: Three Streptococcus suis strains were isolated from the blood samples of three patients. From these, the virulence genotypes demonstrated that the two strains were orf2+ and ef+/orf2+/sly+, respectively. The Multilocus sequence typing (MLST) typing results demonstrated that the two strains were ST25 and ST7, respectively. Conclusion: The first isolation of ST25 Streptococcus suis in Rui'an was presumed to have a close affinity with the endemic strain in North America. The other strain was an ST7 clone, consistent with the endemic strain in Sichuan, and which may have originated from Sichuan. Virulence genotype analysis demonstrated that different virulence genes of the pathogens resulted in different clinical manifestations.

ABSTRACT Canine parvovirus (CPV) can cause high morbidity and mortality rates in puppies, posing a significant threat to both pet dogs and the breeding industry. Rapid, accurate, and convenient detection methods are important for the early intervention and treatment of canine parvovirus. In this study, we propose a visual CPV detection system called nucleic acid mismatch enzyme digestion (NMED). This system combines loop-mediated isothermal amplification (LAMP), endonuclease for gene mismatch detection, and colloidal gold lateral chromatography. We demonstrated that NMED can induce the binding of the amplicon from the sample to the specific labeling probe, which in turn triggers digestion by the endonuclease. The sensitivity and visual visibility of LAMP were increased by combining endonuclease and colloidal gold lateral chromatography assisted by a simple temperature-controlled device. The sensitivity of the NMED assay was 1 copy/μL, which was consistent with quantitative PCR (qPCR). The method was validated with 20 clinical samples that potentially had CPV infection; 15 positive samples and 5 negative samples were evaluated; and the detection accuracy was consistent with that of qPCR. As a rapid, accurate, and convenient molecular diagnostic method, NMED has great potential for application in the field of pathogenic microorganism detection.IMPORTANCEThe NMED method has been established in the laboratory and used for CPV detection. The method has several advantages, including simple sampling, high sensitivity, intuitive results, and no requirement for expensive equipment. The establishment of this method has commercial potential and offers a novel approach and concept for the future development of clinical detection of pathogenic microorganisms.

Abstract Electrolyte plays crucial roles in electrochemical CO2 reduction reaction (e‐CO2RR), yet how it affects the e‐CO2RR performance still being unclarified. In this work, it is reported that Sn‐Zn hybrid oxide enables excellent CO2‐to‐HCOO− conversion in KHCO3 with a HCOO− Faraday efficiency ≈89%, a yield rate ≈0.58 mmol cm−2 h−1 and a stability up to ≈60 h at −0.93 V, which are higher than those in NaHCO3 and K2SO4. Systematical characterizations unveil that the surface reconstruction on Sn‐Zn greatly depends on the electrolyte using: the Sn‐SnO2/ZnO, the ZnO encapsulated Sn‐SnO2/ZnO and the Sn‐SnO2/Zn‐ZnO are reconstructed on the surface by KHCO3, NaHCO3 and K2SO4, respectively. The improved CO2‐to‐HCOO− performance in KHCO3 is highly attributed to the reconstructed Sn‐SnO2/ZnO, which can enhance the charge transportation, promote the CO2 adsorption and optimize the adsorption configuration, accumulate the protons by enhancing water adsorption/cleavage and limit the hydrogen evolution. The findings may provide insightful understanding on the relationship between electrolyte and surface reconstruction in e‐CO2RR and guide the design of novel electrocatalyst for effective CO2 reduction.

ObjectiveTo investigate the unique and cumulative associations of different sleep problem subtypes with burnout among Chinese nurses.MethodsA survey was conducted in Quanzhou, China, and a total of 744 nurses were included. Burnout was measured by Maslach Burnout Inventory-Human Services Survey across three dimensions: emotional exhaustion (EE), depersonalization (DP) and low personal accomplishment (PA). Pittsburgh Sleep Quality Index was used to measure 15 types of sleep problems. Binary logistic regression was employed to explore the association between sleep problems and burnout.ResultsPrevalence of sleep problems, high EE, high DP and low PA were 43.3, 6.9, 23.4, and 63.2%, respectively. Experience of sleep problems significantly increased risk for EE (OR = 1.31, 95%CI: 1.185–1.436), DP (OR = 1.08, 95%CI: 1.023–1.142) and PA (OR = 1.09, 95%CI: 1.036–1.146). Of the 15 sleep problem subtypes, “feel too cold” and “have pain” were significant predictors of high EE (OR = 3.89, 95%CI: 1.629–9.302; OR = 3.00, 95%CI: 1.314–6.827, respectively), and “daytime dysfunction” significantly predicted low PA (OR = 1.68, 95%CI: 1.135–2.491). Around 40.9% of nurses had reported more than three subtypes of sleep problems. Experiencing more than three subtypes of sleep problems were significantly associated with an increased risk of DP and PA (ORs range from 2.07 to 2.71).ConclusionThese findings suggested that sleep problems was associated with an increased risk of burnout in nurses, with both unique and cumulative risks. Interventions should focus on the prevention and management of the effects of sleep problems among nurses.

Underwater images typically exhibit low quality due to complex imaging environments, which impede the development of the Space-Air-Ground-Sea Integrated Network (SAGSIN). Existing physical models often ignore the light absorption and attenuation properties of water, making them incapable of resolving details and resulting in low contrast. To address this issue, we propose the attenuated incident optical model and combine it with a background segmentation technique for underwater image restoration. Specifically, we first utilize the features to distinguish the foreground region of the image from the background region. Subsequently, we introduce a background light layer to improve the underwater imaging model and account for the effects of non-uniform incident light. Afterward, we employ a new maximum reflection prior in the estimation of the background light layer to achieve restoration of the foreground region. Meanwhile, the contrast of the background region is enhanced by stretching the saturation and brightness components. Extensive experiments conducted on four underwater image datasets, using both classical and state-of-the-art (SOTA) algorithms, demonstrate that our method not only successfully restores textures and details but is also beneficial for processing images under non-uniform lighting conditions.

Abstract Dietary emulsifiers are linked to various diseases. The recent discovery of the role of gut microbiota–host interactions on health and disease warrants the safety reassessment of dietary emulsifiers through the lens of gut microbiota. Lecithin, sucrose fatty acid esters, carboxymethylcellulose (CMC), and mono- and diglycerides (MDG) emulsifiers are common dietary emulsifiers with high exposure levels in the population. This study demonstrates that sucrose fatty acid esters and carboxymethylcellulose induce hyperglycemia and hyperinsulinemia in a mouse model. Lecithin, sucrose fatty acid esters, and CMC disrupt glucose homeostasis in the in vitro insulin-resistance model. MDG impairs circulating lipid and glucose metabolism. All emulsifiers change the intestinal microbiota diversity and induce gut microbiota dysbiosis. Lecithin, sucrose fatty acid esters, and CMC do not impact mucus–bacterial interactions, whereas MDG tends to cause bacterial encroachment into the inner mucus layer and enhance inflammation potential by raising circulating lipopolysaccharide. Our findings demonstrate the safety concerns associated with using dietary emulsifiers, suggesting that they could lead to metabolic syndromes.

Abstract Adsorption and activation of C–H bonds by photocatalysts are crucial for the efficient conversion of C–H bonds to produce high-value chemicals. Nevertheless, the delivery of surface-active oxygen species for C–H bond oxygenation inevitably needs to overcome obstacles due to the separated active centers, which suppresses the catalytic efficiency. Herein, Ni dopants are introduced into a monolayer Bi2WO6 to create cascaded active units consisting of unsaturated W atoms and Bi/O frustrated Lewis pairs. Experimental characterizations and density functional theory calculations reveal that these special sites can establish an efficient and controllable C–H bond oxidation process. The activated oxygen species on unsaturated W are readily transferred to the Bi/O sites for C–H bond oxygenation. The catalyst with a Ni mass fraction of 1.8% exhibits excellent toluene conversion rates and high selectivity towards benzaldehyde. This study presents a fascinating strategy for toluene oxidation through the design of efficient cascaded active units.

Three-dimensional (3D) printing technology has been widely used to create artificial rock samples in rock mechanics. While 3D printing can create complex fractures, the material still lacks sufficient similarity to natural rock. Extrusion free forming (EFF) is a 3D printing technique that uses clay as the printing material and cures the specimens through high-temperature sintering. In this study, we attempted to use the EFF technology to fabricate artificial rock specimens. The results show the physico-mechanical properties of the specimens are significantly affected by the sintering temperature, while the nozzle diameter and layer thickness also have a certain impact. The specimens are primarily composed of SiO2, with mineral compositions similar to that of natural rocks. The density, uniaxial compressive strength (UCS), elastic modulus, and tensile strength of the printed specimens fall in the range of 1.65–2.54 g/cm3, 16.46–50.49 MPa, 2.17–13.35 GPa, and 0.82–17.18 MPa, respectively. It is capable of simulating different types of rocks, especially mudstone, sandstone, limestone, and gneiss. However, the simulation of hard rocks with UCS exceeding 50 MPa still requires validation.

Background: Spinal cord injury (SCI) is a serious and difficult to treat traumatic disease of the central nervous system. Spinal cord injury causes a variety of detrimental effects, including neuroinflammation and ferroptosis, leading to chronic functional impairment and death. Recent studies have shown that microglia/macrophages (M/Ms) at the injury site remain primarily in the pro-inflammatory state, which is detrimental to recovery. However, information on the factors behind pro-inflammatory polarization skew in the injured spinal cord remains unclear. In this study, we found that Tumor Necrosis Factor-α(TNF-α) ablation protected after SCI by suppressing neuroinflammation and ferroptosis. Though using TNF-α knock out mice (TNF−/−), we induced downregulation of TNF-α in M/Ms and further investigated its effect on SCI outcome. In TNF−/− mice, significant behavioral improvements were observed as early as 7 days after injury. We showed that TNF-α inhibition promote injury-mediated M/Ms polarization from pro-inflammatory to anti-inflammatory phenotype in vivo. Furthermore, accumulated iron in M/Ms after SCI increased the expression of TNF-α and the population of M/Ms to pro-inflammatory phenotype. Moreover, zinc supplement reduced the secondary damage caused by iron overload. In conclusion, we found that knock out of TNF-α promotes recovery of motor function after spinal cord injury in mice by inhibiting ferroptosis and promoting the shift of macrophages to an anti-inflammatory phenotype, indicating that there is great potential for this therapy to SCI.

Introduction: A strong association was previously established between body mass index (BMI) and female reproductive system tumors; however, the causal relationship is unclear. We conducted a Mendelian randomization (MR) study to further explore this association. Methods: Genetic information for BMI was retrieved from a published genome-wide association study involving 339,224 participants. Genetic associations with five common female reproductive system tumors were obtained from the FinnGen, UK Biobank studies, and other large consortia. Results: Genetic predisposition towards BMI exhibits a significant association with multiple tumors of the female reproductive system. Specifically, for every 1-unit increase in BMI log-transformed odds ratio (OR). The OR fluctuations overall for patients with breast cancer ranged from 0.661 to 0.996 (95% confidence interval [CI],0.544-1.000, P

Background: AIDS-related NK/T-cell lymphoma is a rare subtype of AIDS-related lymphomas, characterized by a poor prognosis and lack of standardized treatment protocols. To date, there have been no reported cases of AIDS-associated NK/T-cell lymphoma in remission followed by treatment-related acute myeloid leukemia (t-AML), where both the lymphoma and AML achieved remission and long-term survival through chemotherapy alone. Case presentation: We report a case of a patient diagnosed with AIDS-related extra-nodal NK/T-cell lymphoma (ENKTCL). The patient achieved complete remission after receiving six cycles of chemotherapy, local radiotherapy, and combination antiretroviral therapy (cART). Throughout the follow-up period, the patient continued cART treatment, maintaining an HIV-RNA level below the lower limit of detection. However, 70 months later, the patient developed new symptoms and was subsequently diagnosed with acute myeloid leukemia (AML) M4 subtype. Following the completion of 10 cycles of chemotherapy and ongoing cART, the patient achieved complete remission of AML, with an overall survival time exceeding 103 months from the initial ENKTCL diagnosis. Conclusions: This case highlights the effectiveness of chemotherapy combined with cART in the treatment of AIDS-associated NK/T-cell lymphoma and secondary treatment-related leukemia. This approach may serve as a viable option for patients who are not candidates for bone marrow transplantation. Furthermore, this case underscores the importance of long-term follow-up in the management of AIDS-associated malignancies.

Abstract Background High lactate to albumin ratio (LAR) has been reported to be associated to with poor prognosis in patients admitted to the intensive care unit (ICU). However, its role in predicting in-hospital mortality in AF patients admitted to ICU has not been explored. Methods The Medical Information Mart for Intensive Care-IV (MIMIC-IV) database was used to retrieve information on patients who had been diagnosed with AF. X-tile software was utilized to determine the optimal cut-off LAR. Area under the receiver operating characteristic curves (AUC), calibration plots, and decision curve analysis (DCA) were conducted to assess the prediction performance of LAR for in-hospital mortality. Results Finally, 8,287 AF patients were included and 1,543 death (18.6%) occurred. The optimal cut-off value of LAR is 0.5. Patients in lower LAR (

Abstract Identification of active sites in catalytic materials is important and helps establish approaches to the precise design of catalysts for achieving high reactivity. Generally, active sites of conventional heterogeneous catalysts can be single atom, nanoparticle or a metal/oxide interface. Herein, we report that metal/oxide reverse interfaces can also be active sites which are created from the coordinated migration of metal and oxide atoms. As an example, a Pd1/CeO2 single-atom catalyst prepared via atom trapping, which is otherwise inactive at 30 °C, is able to completely oxidize formaldehyde after steam treatment. The enhanced reactivity is due to the formation of a Ce2O3-Pd nanoparticle domain interface, which is generated by the migration of both Ce and Pd atoms on the atom-trapped Pd1/CeO2 catalyst during steam treatment. We show that the generation of metal oxide-metal interfaces can be achieved in other heterogeneous catalysts due to the coordinated mobility of metal and oxide atoms, demonstrating the formation of a new active interface when using metal single-atom material as catalyst precursor.

Abstract Symmetry-protected topological crystalline insulators (TCIs) have primarily been characterized by their gapless boundary states. However, in time-reversal- ( $${{{{{{{\mathcal{T}}}}}}}}$$ T -) invariant (helical) 3D TCIs—termed higher-order TCIs (HOTIs)—the boundary signatures can manifest as a sample-dependent network of 1D hinge states. We here introduce nested spin-resolved Wilson loops and layer constructions as tools to characterize the intrinsic bulk topological properties of spinful 3D insulators. We discover that helical HOTIs realize one of three spin-resolved phases with distinct responses that are quantitatively robust to large deformations of the bulk spin-orbital texture: 3D quantum spin Hall insulators (QSHIs), “spin-Weyl” semimetals, and $${{{{{{{\mathcal{T}}}}}}}}$$ T -doubled axion insulator (T-DAXI) states with nontrivial partial axion angles indicative of a 3D spin-magnetoelectric bulk response and half-quantized 2D TI surface states originating from a partial parity anomaly. Using ab-initio calculations, we demonstrate that β-MoTe2 realizes a spin-Weyl state and that α-BiBr hosts both 3D QSHI and T-DAXI regimes.

ABSTRACT: The transition period in dairy cows is a critical stage and peripartum oxidative status, negative energy balance (NEB), and inflammation are highly prevalent. Fecal microbial metabolism is closely associated with blood oxidative status and nonesterified fatty acids (NEFA) levels. Here, we investigated dynamic changes in total oxidative status markers and NEFA in blood, fecal microbiome, and metabolome of 30 dairy cows during transition (−21, −7, +7, +21 d relative to calving). Then the Bayesian network and 9 machine-learning algorithms were applied to dismantle their relationship. Our results show that the oxidative status indicator (OSI) of −21, −7, +7 d was higher than +21 d. The plasma concentration of NEFA peaked on +7 d. For fecal microenvironment, a decline in bacterial α diversity was observed at postpartum and in bacterial interactions at +7 d. Conversely, microbial metabolites involved in carbohydrate, lipid, and energy metabolism increased on +7 d. A correlation analysis revealed that 11 and 10 microbial metabolites contributed to OSI and NEFA variations, respectively (arc strength >0.5). The support vector machine (SVM) radial model showed the highest average predictive accuracy (100% and 88.9% in the test and external data sets) for OSI using 1 metabolite and 3 microbiota. The SVM radial model also showed the highest average diagnostic accuracy (100% and 91% in the test and external data sets) for NEFA with 2 metabolites and 3 microbiota. Our results reveal a relationship between variation in the fecal microenvironment and indicators of oxidative status, NEB, and inflammation, which provide a theoretical basis for the prevention and precise regulation of peripartum oxidative status and NEB.