Wilson disease is a copper metabolism disorder caused by mutations in the ATP7B gene， which encodes a copper-transporting ATPase β， and can result in multisystem damage. The kidneys are the third most commonly affected organs after the liver and brain. In recent years， numerous diagnostic and treatment guidelines for Wilson disease have emerged. However， most of these focus primarily on hepatic and neurological manifestations and their management， with limited coverage of renal involvement. The high incidence， low awareness， and lack of clinical specificity of Wilson disease-related renal damage （WDRD） have made early detection and intervention particularly challenging in clinical practice. To further optimize the treatment of patients with WDRD， improve clinical diagnosis and management， and enhance patients' quality of life， the Neurology Committee of the Chinese Association of Integrative Medicine， in April 2024， initiated a revision of the first expert consensus on the integrated diagnosis， treatment， and management of WDRD. This effort brought together experts in hepatology， encephalopathy （neurology）， and nephrology from many tertiary-level grade A hospitals and research institutions across China. Through comprehensive literature review and integration of frontline clinical experience， the expert group jointly developed Chinese Expert Consensus on Integrated Chinese and Western Medicine Management of Wilson Disease-related Renal Damage （hereinafter referred to as the "Consensus"）. This article provides a detailed interpretation of the Consensus in terms of diagnostic criteria， traditional Chinese medicine （TCM） syndrome differentiation and treatment classification， and comprehensive disease management， aiming to better guide clinical application. Regarding diagnostic criteria， the Consensus integrates the latest standards in China and abroad， highlights the importance of biochemical diagnosis， and compensates for the limitations of genetic testing. In the area of TCM syndrome differentiation and treatment， the Consensus refines four major syndrome types， introduces a newly defined syndrome， i.e.， phlegm， blood stasis， and heat accumulation， and elaborates on treatment principles， prescriptions， and clinical modification rules for each syndrome. For comprehensive disease management， the Consensus emphasizes multi-dimensional intervention strategies， including diet， exercise， emotional regulation， medication， and medical care， with the goal of maximally controlling the progression of renal dysfunction and helping patients achieve a better quality of life.

Objective:To investigate the differences in hippocampal subfield volumes and structural covariance network properties among patients with mild cognitive impairment (MCI) exhibiting different cognitive outcomes and normal controls (NCs), and to further evaluate the predictive value of these imaging indicators for cognitive deterioration in MCI patients.Methods:A total of 43 NCs, 65 stable MCI (sMCI), and 26 progressive MCI (pMCI) patients enrolled in the Alzheimer′s Disease Neuroimaging Initiative (ADNI) database between December 2012 and May 2016 were included in this study. Baseline demographic information and T 1-weighted magnetic resonance imaging scans were collected. Hippocampal subfield volumes were extracted using freesurfer software, and structural covariance networks of hippocampal subfields were constructed. Multivariate analysis of covariance was used to compare hippocampal subfield volumes among the 3 groups. A general linear model was applied to examine group differences in hippocampal subfield structural covariance network properties. Least absolute shrinkage and selection operator (LASSO)-Logistic regression was employed to identify imaging predictors associated with conversion to Alzheimer′s disease (AD), based on which structural, network-based, and combined predictive models were constructed. Model discrimination was evaluated using the area under the curve (AUC); internal validation was performed using Bootstrap resampling; model calibration was assessed with the Hosmer-Lemeshow test; and clinical utility was evaluated through decision curve analysis. Results:Significant differences in hippocampal subfield volumes (mm3) were observed among the 3 groups (all P<0.05, Bonferroni-corrected). Specifically, left parasubiculum (65.58±13.30, 61.96±17.56, 49.56±11.82, F=9.900), right parasubiculum (65.92±15.21, 59.45±16.65, 47.69±15.48, F=11.612), left presubiculum (277.09±39.85, 258.15±44.86, 224.05±45.05, F=14.513), right presubiculum (262.85±40.43, 247.41±43.27, 209.97±46.11, F=14.500), left subiculum (399.66±32.19, 374.25±55.83, 306.12±51.62, F=32.923), right subiculum (417.93±48.92, 376.59±51.01, 316.82±70.22, F=28.764), left cornu ammonis 1 (CA1) (592.10±83.87, 561.96±94.72, 490.06±86.89, F=13.352), right CA1 (632.15±100.09, 601.24±88.88, 531.05±110.29, F=10.579), left CA3 (191.58±30.08, 180.47±34.66, 155.08±37.82, F=12.182), right CA3 (210.42±28.92, 203.84±34.80, 176.69±41.47, F=9.597), left CA4 (224.61±28.94, 210.49±35.04, 183.98±36.89, F=16.521), right CA4 (238.49±28.14, 227.43±30.65, 200.23±42.74, F=13.702), left granule cell-molecular layer-dentate gyrus (GC-ML-DG) (259.96±36.76, 239.42±41.17, 207.61±41.84, F=19.831), right GC-ML-DG (273.98±35.12, 258.79±36.82, 227.81±49.07, F=14.204), left molecular layer (505.62±66.16, 468.58±75.17, 402.68±75.47, F=22.293), right molecular layer (527.39±72.39, 493.14±70.39, 423.81±88.09, F=19.588), left hippocampal amygdala transition area (HATA) (54.91±9.99, 49.52±9.93, 43.27±9.59, F=13.571), right HATA (58.43±9.83, 54.55±10.80, 47.12±12.54, F=10.037), left fimbria (69.94±25.04, 56.63±23.74, 40.58±19.83, F=14.846), right fimbria (68.61±26.24, 53.95±23.16, 45.25±17.04, F=10.424), left hippocampal tail (488.37±83.44, 463.54±80.33, 393.83±77.73, F=13.570), and right hippocampal tail (519.78±80.22, 498.84±81.68, 419.75±93.29, F=14.339) all showed significant group differences. Significant group differences were also observed in small-worldness metric γ (0.51±0.10, 0.51±0.08, 0.62±0.14, F=9.317), small-worldness metric λ (0.39±0.02, 0.39±0.02, 0.43±0.04, F=9.925), global efficiency (0.19±0.01, 0.20±0.01, 0.18±0.01, F=3.189), local efficiency (0.26±0.02, 0.26±0.01, 0.27±0.01, F=3.068), clustering coefficient (0.23±0.01, 0.23±0.01, 0.24±0.02, F=4.274), and characteristic path length (0.73±0.06, 0.72±0.06, 0.76±0.07, F=4.477) of the hippocampal subfield structural covariance network (all P<0.05). Specifically, the pMCI group exhibited higher γ ( t=3.773, P<0.001), λ ( t=4.060, P<0.001), local efficiency ( t=2.445, P=0.047), and clustering coefficient ( t=2.849, P=0.015) than the NCs group, and higher γ ( t=4.074, P<0.001), λ ( t=4.068, P<0.001), and characteristic path length ( t=2.986, P=0.010) but lower global efficiency ( t=-2.444, P=0.047) than the sMCI group. The AUC of the structural, network, and combined models based on LASSO-Logistic regression was 0.837, 0.861, and 0.899, respectively. After internal validation, the corrected AUC was 0.835, 0.855, and 0.889, respectively. All models demonstrated good calibration ( P>0.05), and decision curve analysis indicated favorable clinical net benefit across models. Conclusions:Both sMCI and pMCI patients exhibit widespread hippocampal subfield atrophy and altered global properties of hippocampal subfield structural covariance networks compared to NCs. The models constructed based on hippocampal subfield volumes and structural covariance networks show strong potential for predicting cognitive decline in MCI patients.

Background Injury poses a serious threat to human health. As global warming continues to intensify, there is an urgent need to explore the impact of temperature changes on injury deaths. However limited research has focused on this issue. Objective To investigate the relationship between daily mean temperature change (Tm) and injury death, as well as to estimate the associated future death burden in Hunan Province. Methods We employed an individual-level, time-stratified case-crossing design to establish a conditional logistic regression model to analyze the exposure-response relationship between daily mean temperature change and injury death in Hunan Province from 2013 to 2018. Consequently, we conducted subgroup analysis of gender, age group, and injury type. Finally, we estimated the excess burden of injury death attributable to temperature changes under a sustainable development path [low emission scenario (SSP1-2.6)], regional competition path [high emission scenario (SSP3-7.0)], or fossil fuel development path [very high emission scenario (SSP5-8.5)]. Results The study collected 155577 injury deaths in Hunan Province. The results indicated that for each 1 ℃ increment in daily mean temperature, the cumulative excess risk (CER) of injury mortality among Hunan residents increased by 0.71% (95%CI: 0.53%, 0.90%). Notably, the CER for intentional injuries (1.06%, 95%CI: 0.51%, 1.61%) was higher than that for unintentional injuries (0.66%, 95%CI: 0.46%, 0.87%). Warmer temperatures were positively associated with CER of mortality due to drowning, falls, transport injuries, assaults, and suicides, while they were negatively associated with mortality due to poisoning. Compared with 2010–2019, for 2090–2099, the excess mortality rate (EMR) due to ambient temperature increase in Hunan Province under the SSP5-8.5 scenario (14.62/100000, 95%CI: 10.81/100000, 18.40/100000) would be higher than that of the SSP3-7.0 scenario (10.28/100000, 95%CI: 7.58/100000, 12.97/100000) and the SSP1-2.6 scenario (3.35/100000, 95%CI: 2.46/100000, 4.23/100000); the EMR would be around 2.5 times among men (20.64/100000, 95%CI: 14.44/100000, 26.8/100000) than that among women (8.33/100000, 95%CI: 3.98/100000, 12.6/100000). Among unintentional injuries, the leading contributors to EMR would be drowning (4.46/100000), falls (3.96/100000), and transport injuries (2.96/100000). And among intentional injuries, the EMR for suicide (2.08/100000) would be higher than that for assault (0.47/100000). Conclusion Climate warming will increase the total burden of injury-related deaths among residents in Hunan Province, especially in the absence of effective mitigation strategies and measures. It is necessary to strengthen the prevention and control of severe injuries closely related to temperature changes, such as drowning, falls, traffic, and suicides injuries, in order to reduce injury deaths associated with climate change.

Glycogen storage disease type Ⅱ,also known as Pompe disease,is an autosomal recessive metabolic myopathy with pulmonary hypertension as a rare complication.We reported a case of pulmonary hypertension in adult with late-onset glycogen storage disease type Ⅱ.Her arterial blood gas results indicated type Ⅱ respiratory failure,lung function indicated severe restricted ventilation dysfunction,sleep monitoring indicated severe sleep apnea hypopnea,severe nocturnal hypoxemia,echocardiography-derived systolic pulmonary pressure was 62 mmHg(1 mmHg=0.133 kPa),electromyography indicated myogenic lesion,and whole exon sequencing indicated GAA gene mutation.Supportive therapy and enzyme replacement therapy are applied in this patient.

Objectives:To observe the effectiveness and safety of recombinant human brain natriuretic peptide(rhBNP)for the treatment of patients with right heart failure caused by pulmonary arterial hypertension(PAH).Methods:A total of 421 patients with right heart failure caused by PAH who were hospitalized in Fuwai Hospital from January 2019 to June 2024 were retrospectively included in this study.All patients were treated with rhBNP on top of conventional therapy.24 h urine volume,body weight,liver and renal function index,electrolyte,uric acid,red blood cell distribution width(RBCDW),cardiac function,blood pressure and heart rate before and after the treatment of rhBNP were compared.Clinical symptoms,signs and the occurrence of adverse events during treatment were also observed.Results:Compared with baseline,after treatment with rhBNP,the 24 h urine volume increased.The levels of body weight,transaminase,total bilirubin,direct bilirubin,uric acid,RBCDW,systolic blood pressure,heart rate,and N-terminal pro-B-type natriuretic peptide significantly decreased(all P<0.05).There were no statistically significant differences in the levels of serum creatinine,and tricuspid annular plane systolic excursion to pulmonary artery systolic pressure ratio(both P>0.05).Dyspnea and lower limbs edema were improved in 75.2%cases(227/302)and 66.9%cases(281/420)respectively.The incidence of adverse events and severe adverse events during rhBNP treatment were 1.2%(5/421)and 0.5%(2/421)respectively.Conclusions:Adding rhBNP on top of standard medication can effectively increase 24 h urine volume,reduce body weight,improve some prognostic indicators,improve the clinical symptoms and signs of heart failure without negatively affecting the renal function in right heart failure patients caused by PAH.Blood pressure should be closely monitored during the treatment process.

Objective:To compare the effects of different appointment regimens on the daily waiting time, fixedness of treatment time and lateness rate of radiotherapy patients.Methods:Medical records of 5488 radiotherapy from 332 patients on the same linear accelerator in West China Hospital of Sichuan University from March to June 2022 were selected. Based on the radiotherapy information integration platform of MOSAIQ, all patients were randomly assigned to the morning class, afternoon class and evening class. Traditional manual appointment regimen was adopted for the morning class, 30 min appointment regimen for the afternoon class, and 15 min appointment regimen for the evening class, respectively. The differences in patient waiting time for treatment, fixedness of treatment time, and lateness rate under different appointment regimens were compared. The fixedness of treatment time and waiting time was determined by one-way ANOVA, and the 2×3 Chi-square test was adopted for the lateness rate. Results:The waiting time in the 15 min appointment, the 30 min appointment and manual appointment groups were (27.08 ± 17.21), (34.57± 19.12) and (41.50 ±20.94) min, respectively. There was statistical significance among three appointment regimens ( F=254.97, P<0.001). The waiting time was the shortest in the 15 min appointment group, followed by the 30 min appointment group, and the manual appointment group (all P<0.001 for two-group comparison). The fixedness of treatment time in the 15 min appointment, the 30 min appointment and the manual appointment groups were (15.60±7.87), (18.69±8.94) and (24.30±15.10) min, respectively. There was statistical significance among three groups ( F=25.23, P<0.001). Among them, the fixedness of treatment time in the 15 min appointment group was the highest, followed by the 30 min appointment group, and the manual appointment group (all P<0.001). The lateness rates in the 15 min appointment, the 30 min appointment and the manual appointment groups were 5.7%, 6.2% and 9.6%, respectively. The lateness rate in the manual appointment group was higher than those in the 15 min appointment and the 30 min appointment groups ( χ2=19.24、14.90, both P<0.001), but there was no statistical significance in the lateness rate between the 15 min appointment and 30min appointment groups ( χ2=0.39, P=0.535). Conclusion:In the clinical practice of conventional intensity-modulated radiotherapy technology carried out by conventional linear accelerator, the 15 min appointment regimen can shorten the waiting time for radiotherapy and improve the fixedness of daily radiotherapy time, which is worthy of clinical promotion.

Vast majority of human RNA are non-coding RNA(ncRNA),which can regulate physiological activities and affects functions on cells.Although each part of them is obscure,they are involved in different levels of gene regulation,from epigene-tic gene silencing to post transcriptional regulation.Metabolic reprogramming of tumor-associated macrophages(TAMs)can promote tumor progression and is closely related to activation phenotypes of anti-tumor(M1)or pro-tumor(M2).A lot of ncRNAs are involved in metabolic reprogramming of TAMs,reshaping tumor microenvironment and playing a key role in tumor progression.Improving understanding of effect on ncRNA regulating metabolic reprogramming of TAMs may provide new methods for developing effective clinical treatments.

Objective:To investigate the alterations of individual metabolic brain network properties in patients with mild cognitive impairment (MCI) and their correlations with cognitive function.Methods:One hundred and five participants from Alzheimer's Disease Neuroimaging Initiative (ADNI) database enrolled from March 2012 to February 2016 were chosen, including 61 MCI patients and 44 normal controls (NC). Cognitive assessments, including mini-mental state examination (MMSE), auditory verbal learning test (AVLT), trail making test (TMT), and semantic verbal fluency (SVF) score, were performed in both groups; differences of above scores and clinical data between the participants from the two groups were compared. T1-weighted imaging and fluorodeoxyglucose positron emission tomography (FDG-PET) images were collected in both groups; individual metabolic brain networks were constructed based on differences in effect sizes between brain regions and network properties were calculated. Spatial correlation analysis was used to compare the correlations of metabolic brain networks at the individual and group levels. General linear model was employed to compare the differences in network properties between the two groups. Partial correlation analysis was used to examine the correlations of differential network properties with cognitive function in MCI patients. A support vector machine (SVM) classification model was constructed based on individual metabolic brain network properties, and receiver operating characteristic (ROC) curve was used to explore the diagnostic value of this SVM classification model in MCI.Results:(1) Compared with the NC group, the MCI group had significantly lower MMSE and AVLT-immediate recall scores, and longer TMT-A completion time ( P<0.05). (2) Spatial correlation analysis revealed a positive correlation between individual metabolic brain networks and group-level metabolic brain networks in patients of the MCI group ( r=0.825, P<0.001). No significant differences in global network properties were noted between the two groups ( P>0.05). Compared with the NC group, the MCI group significantly decreased degree centrality in the left A8vl, right A39c, and right V5/MT+ regions, increased degree centrality in the left anterior cuneus, decreased nodal efficiency in the left A8vl, right V5/MT+, and right caudal hippocampus regions, increased nodal shortest path length and nodal clustering coefficient in the left A8vl region ( P<0.05). (3) The degree centrality at the A8vl of ventral part of the left middle frontal gyrus and nodal efficiency in right caudal hippocampus region were positively correlated with AVLT-immediate recall scores ( r=0.331, P=0.010; r=0.282, P=0.030), nodal efficiency in the left A8vl region was negatively correlated with TMT-A completion time ( r=-0.470, P<0.001), and nodal efficiency in the left A8vl region was positively correlated with SVF score ( r=0.263, P=0.044). (4) Area under the curve of SVM classification model in diagnosing MCI was 0.880 (95% CI: 0.813-0.945, P<0.001), with an accuracy rate of 0.790. Conclusions:Patients with MCI have alterations in individual metabolic brain network properties, among which the degree centrality and nodal efficiency of some nodes are closely related to cognitive function changes. Models constructed based on individual metabolic brain network properties can help to effectively diagnose MCI.

Effective annotation of in vivo drug metabolites using liquid chromatography-mass spectrometry (LC-MS) remains a formidable challenge. Herein, a metabolic reaction-based molecular networking (MRMN) strategy is introduced, which enables the "one-pot" discovery of prototype drugs and their metabolites. MRMN constructs networks by matching metabolic reactions and evaluating MS² spectral similarity, incorporating innovations and improvements in feature degradation of MS² spectra, exclusion of endogenous interference, and recognition of redundant nodes. A minimum 75% correlation between structural similarity and MS² similarity of neighboring metabolites was ensured, mitigating false negatives due to spectral feature degradation. At least 79% of nodes, 49% of edges, and 97% of subnetworks were reduced by an exclusion strategy of endogenous ions compared to the Global Natural Products Social Molecular Networking (GNPS) platform. Furthermore, an approach of redundant ions identification was refined, achieving a 10%-40% recognition rate across different samples. The effectiveness of MRMN was validated through a single compound, plant extract, and mixtures of multiple plant extracts. Notably, MRMN is freely accessible online at https://yaolab.network, broadening its applications.

Five novel nor-eremophilane-type sesquiterpenoids, peniroqueforins E-H and J (1-4 and 7), two new eremophilane-type sesquiterpenoids, peniroqueforins I and K (5 and 8), and a new eudesmane-type sesquiterpenoid, peniroqueforin L (9), along with four known compounds (6 and 10-12), were isolated and characterized from fungus Penicillium roqueforti (P. roqueforti). The structures and absolute configurations of these compounds were determined through comprehensive spectroscopic analyses, electronic circular dichroism (ECD) data analyses, and single-crystal X-ray diffraction methods. The anti-multi-drug resistance (MDR) cancer activity of these compounds was evaluated using SW620/Ad300 cells. Notably, the half maximal inhibitory concentration (IC₅₀) value of paclitaxel (PTX) combined with 1 in SW620/Ad300 cells was 50.36 nmol·L^-1, which was 65-fold more potent than PTX alone (IC₅₀ 3.26 μmol·L^-1). Subsequent molecular docking studies revealed an affinity between compound 1 and P-glycoprotein (P-gp), suggesting that this nor-eremophilane-type sesquiterpenoid (1) could serve as a potential lead for MDR reversal in cancer cells through P-gp inhibition.
Penicillium/chemistry* ; Humans ; Sesquiterpenes/isolation & purification* ; Cell Line, Tumor ; Molecular Structure ; Drug Resistance, Neoplasm/drug effects* ; Antineoplastic Agents/pharmacology* ; Drug Resistance, Multiple/drug effects* ; Molecular Docking Simulation