Talauromides A-G, Nitrogen-Containing Heptacyclic Oligophenalenone Dimers from the Soil Fungus Talaromyces stipitatus BMC-16.

Seven new nitrogen-containing heptacyclic oligophenalenone dimers, talauromides A-G (1-7), together with known compounds bacillisporins A and B (8 and 9), talaromycesones C and B (10 and 11), duclauxin (12) and lamellicolic anhydride (13), were isolated from the soil derived-fungus Talaromyces stipitatus BMC-16. Their chemical structures were determined based on spectroscopic analysis data. The absolute configurations were elucidated by chemical approaches and the comparison of CD spectra with related compounds. Compounds 3, 8 and 11 exhibited inhibitory activity on the Wnt/ß-catenin signaling pathway in zebrafish embryos at a concentration of 20 µM.

Acupuncture for Aromatase Inhibitor-Induced Arthralgia in Breast Cancer: An Umbrella Review.

Background: Acupuncture therapy shows promise in managing aromatase inhibitor-induced arthralgia (AIA) among breast cancer patients. An umbrella review synthesizes findings from systematic reviews and meta-analyses (SRs/MAs) to assess its effectiveness. Summary: This umbrella review aimed to evaluate the effectiveness of acupuncture therapy in treating AIA among breast cancer patients by analyzing existing evidence from SRs/MAs. Key Messages: Six SRs/MAs were analyzed, revealing shortcomings in reporting quality, methodological quality, and evidence quality assessment. Comprehensive searches across eight electronic databases were conducted. PRISMA, AMSTAR 2, and GRADE were utilized to assess reporting, methodological quality, and evidence quality, respectively. Despite methodological shortcomings, a recent meta-subgroup analysis suggests the efficacy of acupuncture therapy for AIA patients, recommending a 10-session treatment course. Conclusion: Acupuncture is identified as a secure and effective remedy for AIA sufferers, yet further high-quality research is needed to strengthen the evidence base and endorse acupuncture as a viable treatment option.

Facile fabrication of quaternized chitosan-incorporated biomolecular patches for non-compressive haemostasis and wound healing.

Cell-free wound dressings (WDs) with desirable effectiveness and safety have received much attention in the field of regenerative medicine. However, the weak linkages between bioactive polymers and the spatial structure of WDs frequently result in interventional treatment failure. Herein, we create a series of quaternized chitosan (QCS)-incorporated composite hydrogels (referred to as GHCH-n) by UV cross-linking and then convert them into microneedle patches (MNPs). QCS, which is positively charged and amphiphilic, is essential for broad-spectrum antibacterial and haemostatic activities. QCS is proven to be slightly toxic, so it is immobilized into the methacrylate gelatine (GelMA) molecular cage to minimize adverse effects. A polydimethylsiloxane micro-mould is used to shape the MNPs. MNPs can pierce tissue, seal off bleeding sites, and cling to wounds securely. Thus, MNPs can cooperate with GHCH-n hydrogels to halt bleeding and accelerate wound healing. This study recommends GHCH-10 MNPs as an advanced biomaterial. Several preclinical research models have thoroughly validated the application effect of GHCH-10 MNPs. This research also proposes a novel strategy for integrating the nature of bioactive polymers and the structure of composite biomaterials. This strategy is not only applicable to the fabrication of next-generation WDs but also shows great potential in expanding interdisciplinary domains.

Active learning-based automated construction of Hamiltonian for structural phase transitions: A case study on BaTiO3.

The effective Hamiltonians have been widely applied to simulate the phase transitions in polarizable materials, with coefficients obtained by fitting to accurate first-principles calculations. However, it is tedious to generate distorted structures with symmetry constraints, in particular when high-ordered terms are considered. In this work, we implement and apply a Bayesian optimization-based approach to sample the potential energy surface, automating the Hamiltonian construction by selecting distorted structures via active learning. Taking BaTiO3 (BTO) as an example, we demonstrate that the Hamiltonian can be obtained using fewer than 30 distorted structures. Follow-up Monte Carlo simulations can reproduce the structural phase transition temperatures of BTO, comparable to experimental values with an error < 10%. Our approach can be straightforwardly applied on other polarizable materials and paves the way for quantitative atomistic modelling of diffusionless phase transitions.

Phosphorization of α-Fe2O3 Boosts Active Hydrogen Mediated Electrochemical Nitrate Reduction to Ammonia.

Inexpensive iron-based materials are considered promising electrocatalysts for nitrate (NO3 -) reduction, but their catalytic activity and spontaneous corrosion remain challenges. Here, the α-Fe2O3 active surface is reconstructed by gradient phosphorization to obtain FePx with higher electrochemical activity. FeP2.0 optimizes the adsorption energy of NO3 - and its reduction intermediates, meanwhile promote the generation of active hydrogen (*H) but inhibit its generation of H2. More importantly, Fe and P can serve as binding sites for NO3 - and *H, respectively, which improves the electron utilization of NO3 - deoxygenation and the efficiency of the subsequent hydrogenation for the selective synthesis of NH3. 91.7% NO3 - conversion rate is achieved for the reduction of 100 mL 200 mg L-1 NO3 --N, 99.3% ammonia (NH3 selectivity (yield of 1.79 mg h-1 cm-2), and 91.4% Faraday efficiency in 3 h. The high-purity solid NH4Cl is finally extracted by gas extraction and vacuum distillation (81.4% recovery). This study provides new insights and strategies for the conversion of NO3 - to NH3 products over iron-based electrocatalysts.

Metals Transfer in Mushroom Tricholoma matsutake from Regional High Geochemical Background Areas: Environmental Influences and Human Health Risk.

Wild-grown edible mushrooms are important in world diets and are also efficient metal accumulators. Yunnan, Southwest China, is the main producing region, with typically high levels of geochemical metals. The environmental factors, bioaccumulation, distribution and human health risks of metals were examined in paired soil and Tricholoma matsutake (n = 54). T. matsutake grows on acidified soils (pH = 3.95-6.56), and metals show a strong heterogeneity, with Fe, Mn, Zn and Cu in the ranges of 16-201, 0.046-8.58 g kg-1, and 22.6-215, 3.7-155 mg kg-1. High soil Fe content led to great accumulation in T. matsutake (0.24-18.8 g kg-1). However, though the soil Mn content was higher than that of Zn and Cu, their concentrations in T. matsutake were comparable (21.1-487 vs. 38.7-329 and 24.9-217 mg kg-1). This suggested that T. matsutake prefers to accumulate Zn and Cu compared to Mn, and this is supported by the bioaccumulation factors (BAFs = 0.32-17.1 vs. 0.006-1.69). Fe was mainly stored in stipes, while Mn, Zn and Cu were stored in caps, and the translocation factors (TFs) were 0.58 vs. 1.28-1.94. Therefore, stipe Fe showed the highest health risk index (HRI) at 1.28-26.9, followed by cap Cu (1.01-2.33), while 98-100% of the Mn and Zn were risk-free. The higher concentration and greater risk of Fe was attributed to the significant effect of soil Fe content (R = 0.34) and soil pH (R = -0.57). This study suggested that Fe, as an essential mineral, may exert toxic effects via the consumption of T. matsutake from high geochemical background areas.

High-throughput calculations and machine learning modeling of 17O NMR in non-magnetic oxides.

The only NMR-active oxygen isotope, oxygen-17 (17O), serves as a sensitive probe due to its large chemical shift range, the electric field gradient at the oxygen site, and the quadrupolar interaction. Consequently, 17O solid-state NMR offers unique insights into local structures and finds significant applications in the studies of disorder, reactivity, and host-guest chemistry. Despite recent advances in sensitivity enhancement, isotopic labeling, and NMR crystallography, the application of 17O solid-state NMR is still hindered by low natural abundance, costly enrichment, and challenges in handling spectrum signals. Density functional theory calculations and machine learning techniques offer an alternative approach to mapping the local crystal structures to NMR parameters. However, the lack of high-quality data remains a challenge, despite the establishment of some datasets. In this study, we implement and execute a high-throughput workflow combining AiiDA and CASTEP to evaluate the NMR parameters. Focusing on non-magnetic oxides, we have chosen over 7100 binary, ternary, and quaternary compounds from the Materials Project database and performed calculations. Furthermore, using various descriptors for the local crystalline environments, we model the 17O NMR parameters using machine learning techniques, further enhancing our ability to predict and understand 17O NMR parameters in oxide crystals.

Estimating the spatiotemporal distribution of PM2.5 concentrations in Tianjin during the Chinese Spring Festival: Impact of fireworks ban.

SETTING: off fireworks during the Spring Festival (SF) is a traditional practice in China. However, because of its environmental impact, the Chinese government has banned this practice completely. Existing evaluations of the effectiveness of firework prohibition policies (FPPs) lack spatiotemporal perspectives, making it difficult to comprehensively assess their effects on air quality. Consequently, this study used remote sensing technology based on aerosol optical depth and multiple variables, compared nine statistical learning methods, and selected the optimal model, transformer, to estimate daily spatiotemporal continuous PM2.5 concentration datasets for Tianjin from 2016 to 2020. The overall model accuracy reached a root mean square error of 15.30 µg/m³, a mean absolute error of 9.55 µg/m³, a mean absolute percentage error of 21.07%, and an R2 of 0.88. Subsequently, we analysed the variations in PM2.5 concentrations from three time dimensions-the entire year, winter, and SF periods-to exclude the impact of interannual variations on the experimental results. Additionally, we quantitatively estimated firework-specific PM2.5 concentrations based on time-series forecasting. The results showed that during the three years following the implementation of the FPPs, firework-specific PM2.5 concentrations decreased by 52.70%, 49.76%, and 86.90%, respectively, compared to the year before the implementation of the FPPs. Spatially, the central urban area and industrial zones are more affected by FPPs than the suburbs. However, daily variations of PM2.5 concentrations during the SF showed that high concentrations of PM2.5 produced in a short period will return to normal rapidly and will not cause lasting effects. Therefore, the management of fireworks needs to consider both environmental protection and the public's emotional attachment to traditional customs, rather than simply imposing a blanket ban on fireworks. We advocate improving firework policies in four aspects-production, sales, supervision, and control-to promote sustainable development of the ecological environment and human society.

Earthworm mucus contributes significantly to the accumulation of soil cadmium in tomato seedlings.

Whether earthworm mucus affects Cd transport behavior in soil-plant systems remains uncertain. Consequently, this study thoroughly assessed the impacts of earthworm mucus on plant growth and physiological responses, plant Cd accumulation, translocation, and distribution, as well as soil characteristics and Cd fractionation in a soil-plant (tomato seedling) system. Results demonstrated that the earthworm inoculation considerably enhanced plant Cd uptake and decreased plant Cd translocation, the effects of which were appreciably less significant than those of the earthworm mucus. This suggested that earthworm mucus may play a crucial role in the way earthworms influence plant Cd uptake and translocation. Moreover, the artificial mucus, which contained identical inorganic nitrogen contents to those in earthworm mucus, had no significant effect on plant Cd accumulation or translocation, implying that components other than inorganic nitrogen in the earthworm mucus may have contributed significantly to the overall effects of the mucus. Compared with the control, the earthworm mucus most substantially increased the root Cd content, the Cd accumulation amount of root and whole plant, and root Cd BCF by 93.7 %, 221.3 %, 72.2 %, and 93.7 %, respectively, while notably reducing the Cd TF by 48.2 %, which may be ascribed to the earthworm mucus's significant impacts on tomato seedling growth and physiological indicators, its considerable influences on the subcellular components and chemical species of root Cd, and its substantial effects on the soil characteristics and soil Cd fractionation, as revealed by correlation analysis. Redundancy analysis further suggested that the most prominent impacts of earthworm mucus may have been due to its considerable reduction of soil pH, improvement of soil DOC content, and enhancement of the exchangeable Cd fraction in soil. This work may help better understand how earthworm mucus influences the transport behavior of metals in soil-plant systems.

Value of Combined Optical Coherence Tomography and Optical Flow Ratio Measurements After Percutaneous Coronary Intervention.

BACKGROUND: Optical flow ratio (OFR) is a novel computational fractional flow reserve derived from optical coherence tomography (OCT). However, the impact of combining post-stenting morphology (OCT) and physiology (OFR) remains largely unknown. METHODS: OCT and OFR were analysed at an independent core laboratory. Target lesion failure (TLF) was defined as the composite of cardiac death, target lesion myocardial infarction, and target lesion revascularisation. Suboptimal stent deployment was identified with at least 1 TLF-related OCT or OFR characteristic. RESULTS: A total of 448 patients with acute coronary syndrome (459 vessels) were assessed. Stent expansion < 80%, minimal stent area < 4.5 mm2, stent edge lipid-rich plaque and OFR < 0.90 were independent predictors of TLF (all P < 0.001). Patients with OCT-suboptimal (adjusted hazard ratio [aHR] 7.88, 95% CI 2.73-22.72,-P < 0.001) or OFR-suboptimal (aHR 5.78, 95% CI 2.54-13.14; P < 0.001) stent deployment showed significantly higher risk of TLF compared with those with optimal stent deployment, with a significant interaction (Pinteraction < 0.001). OCT and OFR both-suboptimal stent deployment was confirmed as an independent predictor of TLF (aHR 9.39, 95% CI 4.25-20.76; P < 0.001). CONCLUSIONS: Combined OCT and OFR conferred an optimal reclassification of stent deployment, which may aid in decision making regarding a tailored PCI strategy for optimal stent deployment.

The increase of particle size shifts the biogeochemical cycle functions of mineral-associated microorganisms and weakens the mineral-associated organic carbon sink in mangrove soils.

Mineral-organic matter-microbe interactions greatly impact the biogeochemical processes and biodiversity in soils. An increasing trend of particle size (PS) in mangrove soils has been observed because of the relative sea level rise. However, the impacts of PS increase on the microbial biogeochemical functions and carbon sink in the mineral-associated microcosms are exceedingly nebulous. This work showed a remarkable difference in the communities of mineral-associated microorganisms (MMOs) in various PS fractions. Heavy metal contents and urease activity were the factors that mostly driven the MMO community variation in different PS fractions. Large PS fraction attenuated the stability of MMO communities according to the co-occurrence network characteristics. The PS increase significantly (P < 0.05) lowered the gene abundances for carbon input (e.g., carbon fixation) and raised the gene abundances for carbon loss (e.g., aerobic respiration). Combined with the significant decrease of mineral-associated organic carbon (MOC) in large PS fraction (P < 0.05), this work inferred that the PS increase could weaken the MOC sink partially due to the MMO function shift for carbon cycle. The current work indicated unhealthy changes of MMO communities and MOC storage in mangrove soils, and PS was of significance as an indicator for predicting the carbon sink function, especially for the stable form, such as MOC, in the soils of mangroves under the ecological background of climate migration. IMPORTANCE: Carbon with stable forms, such as mineral-associated organic carbon (MOC), is crucial for the sink capabilities in mangrove soils, and mineral-associated microorganisms (MMOs) are important players for the formation and metabolism of MOC. Therefore, the future successions of the MMO functions and MOC contents under the background of climate change are of value for a deeper understanding of mangrove ecology. The relative sea level rise caused by the global warming results in the increase of mangrove soil particle size (PS), which provides distinct microcosms for MMOs and MOC. However, the responses of MMO functions and MOC content to the PS increase of mangrove soils are unknown. The current study aims to reveal the succession regulations of MMO functions and their potential ecological impacts for the storages of MOC in different PS fractions, therefore widening our knowledge of future function migration and promoting the research development of mangrove.

Shield-armed probiotic delivery system based on co-deposition of poly-dopamine and poly-l-lysine helps Lactiplantibacillus plantarum relieve hyperuricemia.

Hyperuricemia (HUA) is a disease characterized by an abnormal metabolism of purine. Lactic acid bacteria (LAB) have attracted much attention for their safe and effective treatment of HUA by inhibiting xanthine oxidase (XOD) and regulating gut microbiota. However, the effectiveness of probiotics can be compromised by the harsh environment of the gastrointestinal tract. In preliminary experiments, Lactiplantibacillus plantarum DY1, which is generally regarded as safe (GRAS), can lower uric acid. We have devised a straightforward and efficient technique for encapsulating DY1 using a coating comprising polydopamine (PDA) co-deposited with poly-l-lysine (PLL) to obtain DY1@PDLL. TEM, SEM, FT-IR and DLS tests showed that DY1 was successfully coated. Incubate at SGF or SIF for 3 h, the number of viable bacteria of free probiotics and DY1@PDLL decreased by 0.92 and 0.46 log cfu/mL, 1.66 and 0.66 log cfu/mL, respectively. The fluorescence intensity of the intestines of the DY1@PDLL treated mice was 3.96 times that of free probiotic. Notably, DY1@PDLL can reduce the uric acid levels of HUA mice by 31.63 % and free probiotics by 18.72 % (≈1.69 times). DY1@PDLL could also regulate gut microbiota and serum metabolic profile. These findings unequivocally highlight the remarkable potential of DY1@PDLL as an exceptional oral probiotic delivery system.

Facile synthesis, release mechanism, and life cycle assessment of amine-modified lignin for bifunctional slow-release fertilizer.

Biomass-based slow-release fertilizers (SRFs) are a sustainable solution for addressing food scarcity, improving fertilizer efficiency, and reducing pollution, whereas they still face complex preparation, high costs, and low release characteristics. This study introduces a simple and innovative approach to producing bifunctional green SRFs with controlled release and conditioning properties for saline soils and harsh environments. The method involves a one-pot preparation of microsphere-structured amine-modified lignin slow-release fertilizer (L-UX) using biomass lignin as the starting material. The L-UX demonstrates an exceptional fertilizer loading rate (66.2 %) and extended slow-release performance (288 h), effectively enhancing the fertilizer's release ability. Compared to traditional fertilizers, the bifunctional L-UX significantly improves soil water retention capacity (824.3 %), plant growth, and germination percentage in challenging soil conditions (133 %). These findings highlight the potential of L-UX as a large-scale controlled-release fertilizer in harsh environments. A life cycle assessment (LCA) was also conducted to evaluate the environmental impact of L-UX from its production to disposal. This revealed that L-UX has a minimal environmental footprint compared to conventional inorganic fertilizers. This study further supports the widespread application of L-UX as an environmentally friendly alternative.

Pioneering noninvasive colorectal cancer detection with an AI-enhanced breath volatilomics platform.

Background: The sensitivity and specificity of current breath biomarkers are often inadequate for effective cancer screening, particularly in colorectal cancer (CRC). While a few exhaled biomarkers in CRC exhibit high specificity, they lack the requisite sensitivity for early-stage detection, thereby limiting improvements in patient survival rates. Methods: In this study, we developed an advanced Mass Spectrometry-based volatilomics platform, complemented by an enhanced breath sampler. The platform integrates artificial intelligence (AI)-assisted algorithms to detect multiple volatile organic compounds (VOCs) biomarkers in human breath. Subsequently, we applied this platform to analyze 364 clinical CRC and normal exhaled samples. Results: The diagnostic signatures, including 2-methyl, octane, and butyric acid, generated by the platform effectively discriminated CRC patients from normal controls with high sensitivity (89.7%), specificity (86.8%), and accuracy (AUC = 0.91). Furthermore, the metastatic signature correctly identified over 50% of metastatic patients who tested negative for carcinoembryonic antigen (CEA). Fecal validation indicated that elevated breath biomarkers correlated with an inflammatory response guided by Bacteroides fragilis in CRC. Conclusion: This study introduces a sophisticated AI-aided Mass Spectrometry-based platform capable of identifying novel and feasible breath biomarkers for early-stage CRC detection. The promising results position the platform as an efficient noninvasive screening test for clinical applications, offering potential advancements in early detection and improved survival rates for CRC patients.

Zishen Qingre Lishi Huayu Recipe May Ameliorate the Symptoms of PCOS Model Rats via Alleviating Systemic and Ovarian Inflammation.

BACKGROUND: Zishen Qingre Lishi Huayu recipe (ZQLHR) has shown significant therapeutic effects in treating sex hormone levels and follicular developmental disorders in patients with polycystic ovary syndrome (PCOS). However, little is known about the potential mechanisms of its treatment. METHODS: Dehydroepiandrosterone and a high-fat diet induced the PCOS model rat. The serum of rats was collected to detect the levels of sex hormones and inflammatory cytokines by enzyme-linked immunosorbent assay, and the ovaries were collected for ovarian histopathology and qPCR assay to detect the levels of inflammatory cytokines in ovarian tissues. Granulosa cells (GCs) were collected for western blot assay to detect of IL-1ß, IL-6R, and LOX protein expression levels. RESULTS: ZQLHR could reduce body weight, regulate estrous cycles, and improve serum sex hormone levels, follicular development, and insulin resistance (IR) in PCOS model rats. In addition, ZQLHR treatment improved the levels of inflammatory cytokines in serum and ovary, and regulated the protein expression of IL-6R, IL-1ß, and LOX in GCs of PCOS model rats. The results showed that the HOMA-IR index increased with the increasing levels of IL-6, IL-1ß, and CRP, and decreased with the increased IL-10. CONCLUSION: This study reveals that the treatment of endocrine disorders and ovulation disorders in PCOS with ZQLHR may be closely related to the improvement of systemic and ovarian inflammation in PCOS patients, as well as the inhibition of IL-6R, IL-1ß, and LOX expression in GCs, which reemphasizes the role of reducing chronic inflammatory states in the treatment of PCOS. Moreover, this study reemphasizes the correlation between multiple inflammatory mediators and IR.

Candidate Antigens and the Development of Helicobacter pylori Vaccines.

BACKGROUND: Infection with Helicobacter pylori (Hp) mostly occurs during childhood, and persistent infection may lead to severe gastric diseases and even gastric cancer. Currently, the primary method for eradicating Hp is through antibiotic treatment. However, the increasing multidrug resistance in Hp strains has diminished the effectiveness of antibiotic treatments. Vaccination could potentially serve as an effective intervention to resolve this issue. AIMS: Through extensive research and analysis of the vital protein characteristics involved in Hp infection, we aim to provide references for subsequent vaccine antigen selection. Additionally, we summarize the current research and development of Hp vaccines in order to provide assistance for future research. MATERIALS AND METHODS: Utilizing the databases PubMed and the Web of Science, a comprehensive search was conducted to compile articles pertaining to Hp antigens and vaccines. The salient aspects of these articles were then summarized to provide a detailed overview of the current research landscape in this field. RESULTS: Several potential antigens have been identified and introduced through a thorough understanding of the infection process and pathogenic mechanisms of Hp. The conserved and widely distributed candidate antigens in Hp, such as UreB, HpaA, GGT, and NAP, are discussed. Proteins such as CagA and VacA, which have significant virulence effects but relatively poor conservatism, require further evaluation. Emerging antigens like HtrA and dupA have significant research value. In addition, vaccines based on these candidate antigens have been compiled and summarized. CONCLUSIONS: Vaccines are a promising method for preventing and treating Hp. While some Hp vaccines have achieved promising results, mature products are not yet available on the market. Great efforts have been directed toward developing various types of vaccines, underscoring the need for developers to select appropriate antigens and vaccine formulations to improve success rates.

Renal inflammation combined with renal function reserve reduction accelerate kidney aging via pentose phosphate pathway.

Aging is closely associated with inflammation, which affects renal function reserve (RFR) in the kidneys. This study aims to investigate the impact of reduced RFR reduction on kidney aging and the influence of renal inflammation and RFR reduction on this process. Natural aging rats and those subjected to unilateral nephrectomy (UNX), 1/6 nephrectomy (1/6NX), and unilateral ureteral obstruction (UUO) were observed at 6, 12, 18, and 21 months. Our findings suggest that RFR reduction and renal inflammation can accelerate kidney aging, and inflammation contributes more. Metabolomics analysis revealed alterations in amino acid metabolism contribute to RFR decline. Furthermore, experiments in vitro confirmed the involvement of pentose phosphate pathway (PPP) in promoting aging though inflammation. Our research provides novel insights into for the mechanism of kidney aging and provides indirect support for clinical treatment decisions, such as addressing kidney inflammation, stones, or tumors that may necessitate partial or complete nephrectomy.

Recent Progress in Brain Network Models for Medical Applications: A Review.

Importance: Pathological perturbations of the brain often spread via connectome to fundamentally alter functional consequences. By integrating multimodal neuroimaging data with mathematical neural mass modeling, brain network models (BNMs) enable to quantitatively characterize aberrant network dynamics underlying multiple neurological and psychiatric disorders. We delved into the advancements of BNM-based medical applications, discussed the prevalent challenges within this field, and provided possible solutions and future directions. Highlights: This paper reviewed the theoretical foundations and current medical applications of computational BNMs. Composed of neural mass models, the BNM framework allows to investigate large-scale brain dynamics behind brain diseases by linking the simulated functional signals to the empirical neurophysiological data, and has shown promise in exploring neuropathological mechanisms, elucidating therapeutic effects, and predicting disease outcome. Despite that several limitations existed, one promising trend of this research field is to precisely guide clinical neuromodulation treatment based on individual BNM simulation. Conclusion: BNM carries the potential to help understand the mechanism underlying how neuropathology affects brain network dynamics, further contributing to decision-making in clinical diagnosis and treatment. Several constraints must be addressed and surmounted to pave the way for its utilization in the clinic.

Acupuncture and moxibustion treatment for breast cancer-related lymphoedema： a systematic review and Meta-analysis. / é’ˆç¸æ²»ç–—ä¹³è ºç™Œæ·‹å·´æ°´è‚¿çš„ç³»ç»Ÿè¯„ä»·å’ŒMeta分析.

OBJECTIVES: To evaluate the efficacy of acupuncture in treating breast cancer-related lymphedema (BCRL) by using systematic review and Meta analysis method. METHODS: Searching CNKI, Wanfang Data Knowledge Service Platform, VIP Chinese Journal Service Platform, Chinese Biomedical Literature Database, PubMed, Cochrane Library, Embase and Web of Science, the randomized controlled trials (RCTs) literature of acupuncture for BCRL was collected from the establishment of the databases to October 1st, 2023. After data extraction and risk of bias evaluation of the included literature, Meta-analysis was performed using RevMan5.4 software. RESULTS: A total of 14 RCTs with 952 patients were included. The Meta-analysis results showed that compared with comprehensive decongestive therapy (CDT), CDT-associated methods and other interventions of the contro group, acupuncture was able to decrease the circumference of the proximal 10 cm to elbow crease (MD=-1.95, P=0.000 5), reduce the difference in arm circumference (MD=-1.30, P<0.000 01), and increase the effective index (MD=27.47, P<0.000 01；RR=1.23, P=0.000 5)；acupuncture improves the range of motion(ROM) scores of shoulder joint in four areas：anteflexion(SMD=0.47, P=0.04), posterior extension (SMD=0.87, P<0.000 01), abduction (SMD=0.48, P=0.03), and adduction (SMD=0.72, P=0.000 5)；acupuncture also could alleviate pain and improve visual analog scale (VAS) scores (MD=-1.15, P<0.000 01). No serious adverse reactions were reported in the literatures. CONCLUSIONS: Acupuncture can effectively improve the degree of limb edema and subjective symptoms in BCRL patients.