The chapter Zhouyu in Guoyu says "Qi of the heaven and the earth moves without losing its order." With lucidity ascending and turbidity descending， Qi moves in a normal state， and Yin and Yang consolidate the foundation of the body. The mutual interference between lucidity and turbidity leads to the disorder of Qi movement， thus causing diseases. It is a pathological state of disorder between ascending and descending， as well as between entering and exiting， gradually evolving into a state of turbidity affecting lucidity and transforming into pathogen， which can be used to interpret and analyze the core of disease pathogenesis. The theory of lucidity and turbidity is connected with the harmony of nutrient and defensive aspects， Qi circulation， and sweat pore associating with Qi movement， and it has common implications with immune responses and nutrient metabolism system， intestinal mucosal barrier function， and mitochondrial energy synthesis. Modern studies have shown that intestinal flora imbalance， bile acid receptor inactivation， macrophage polarization imbalance， epithelial-mesenchymal transition， ferroptosis and other related microscopic pathological mechanisms are involved in the development and progression of ulcerative colitis. By delving into the common meaning of the classic theory of mutual interference between lucidity and turbidity in traditional Chinese medicine and modern medical pathological mechanisms， this paper summarizes the correspondence between the micropathological mechanism and the theory of mutual interference between lucidity and turbidity in the regulation and mamagement of ulcerative colitis. The combined use of sweet and warm medicinal materials consolidates the middle Qi and activates Qi circulation， thus ascending lucidity and descending turbidity. The combined use of pungent medicinal materials for dispersing and bitter medicinal materials for descending simultaneously raises warm and clear Qi. Wind-extinguishing medicinal materials facilitate the ascending of Qi and the opening of sweat pores. Accordingly， turbidity descends and lucidity ascends. The prescriptions incorporating these medication principles are in agreement with the therapeutic approach of following the normal flow of lucidity and turbidity. This paper clarifies the scientific connotation and micropathologic mechanism of ulcerative colitis from the perspective of mutual interference between lucidity and turbidity， providing new theories and prescriptions for the clinical diagnosis， treatment， and prevention of ulcerative colitis.

Objective: To develop a dual-branch deep learning framework for accurate multi-label classification of fundus diseases, addressing the key limitations of insufficient complementary feature extraction and inadequate cross-modal feature fusion in existing automated diagnostic methods. Methods: The fundus multi-label classification dataset with 12 disease categories (FMLC-12) dataset was constructed by integrating complementary samples from Ocular Disease Intelligent Recognition (ODIR) and Retinal Fundus Multi-Disease Image Dataset (RFMiD), yielding 6 936 fundus images across 12 retinal pathology categories, and the framework was validated on both FMLC-12 and ODIR. Inspired by the holistic multi-regional assessment principle of the Five Wheels theory in traditional Chinese medicine (TCM) ophthalmology, the dual-branch multi-label network (DBMNet) was developed as a novel framework integrating complementary visual feature extraction with pathological correlation modeling. The architecture employed a TransNeXt backbone within a dual-branch design: one branch processed red-green-blue (RGB) images to capture color-dependent features, such as vascular patterns and lesion morphology, while the other processed grayscale-converted images to enhance subtle textural details and contrast variations. A feature interaction module (FIM) effectively integrated the multi-scale features from both branches. Comprehensive ablation studies were conducted to evaluate the contributions of the dual-branch architecture and the FIM. The performance of DBMNet was compared against four state-of-the-art methods, including EfficientNet Ensemble, transfer learning-based convolutional neural network (CNN), BFENet, and EyeDeep-Net, using mean average precision (mAP), F1-score, and Cohen's kappa coefficient. Results: The dual-branch architecture improved mAP by 15.44 percentage points over the single-branch TransNeXt baseline, increasing from 34.41% to 44.24%, and the addition of FIM further boosted mAP to 49.85%. On FMLC-12, DBMNet achieved an mAP of 49.85%, a Cohen’s kappa coefficient of 62.14%, and an F1-score of 70.21%. Compared with BFENet (mAP: 45.42%, kappa: 46.64%, F1-score: 71.34%), DBMNet outperformed it by 4.43 percentage points in mAP and 15.50 percentage points in kappa, while BFENet achieved a marginally higher F1-score. On ODIR, DBMNet achieved an F1-score of 85.50%, comparable to state-of-the-art methods. Conclusion DBMNet effectively integrates RGB and grayscale visual modalities through a dual-branch architecture, significantly improving multi-label fundus disease classification. The framework not only addresses the issue of insufficient feature fusion in existing methods but also demonstrates outstanding performance in balancing detection across both common and rare diseases, providing a promising and clinically applicable pathway for standardized, intelligent fundus disease classification.

The pathogenesis of neurodegenerative diseases (NDDs) is fundamentally linked to complex and profound alterations in metabolic networks within the brain, which exhibit marked spatial heterogeneity. While conventional bulk metabolomics is powerful for detecting global metabolic shifts, it inherently lacks spatial resolution. This methodological limitation hampers the ability to interrogate critical metabolic dysregulation within discrete anatomical brain regions and specific cellular microenvironments, thereby constraining a deeper understanding of the core pathological mechanisms that initiate and drive NDDs. To address this critical gap, spatial metabolomics, with mass spectrometry imaging (MSI) at its core, has emerged as a transformative approach. It uniquely overcomes the limitations of bulk methods by enabling high-resolution, simultaneous detection and precise localization of hundreds to thousands of endogenous molecules—including primary metabolites, complex lipids, neurotransmitters, neuropeptides, and essential metal ions—directly in situ from tissue sections. This powerful capability offers an unprecedented spatial perspective for investigating the intricate and heterogeneous chemical landscape of NDD pathology, opening new avenues for discovery. Accordingly, this review provides a comprehensive overview of the field, beginning with a discussion of the technical features, optimal application scenarios, and current limitations of major MSI platforms. These include the widely adopted matrix-assisted laser desorption/ionization (MALDI)-MSI, the ultra-high-resolution technique of secondary ion mass spectrometry (SIMS)-MSI, and the ambient ionization method of desorption electrospray ionization (DESI)-MSI, along with other emerging technologies. We then highlight the pivotal applications of spatial metabolomics in NDD research, particularly its role in elucidating the profound chemical heterogeneity within distinct pathological microenvironments. These applications include mapping unique molecular signatures around amyloid β‑protein (Aβ) plaques, uncovering the metabolic consequences of neurofibrillary tangles composed of hyperphosphorylated tau protein, and characterizing the lipid and metabolite composition of Lewy bodies. Moreover, we examine how spatial metabolomics contributes to constructing detailed metabolic vulnerability maps across the brain, shedding light on the biochemical factors that render certain neuronal populations and anatomical regions selectively susceptible to degeneration while others remain resilient. Looking beyond current applications, we explore the immense potential of integrating spatial metabolomics with other advanced research methodologies. This includes its combination with three-dimensional brain organoid models to recapitulate disease-relevant metabolic processes, its linkage with multi-organ axis studies to investigate how systemic metabolic health influences neurodegeneration, and its convergence with single-cell and subcellular analyses to achieve unprecedented molecular resolution. In conclusion, this review not only summarizes the current state and critical role of spatial metabolomics in NDD research but also offers a forward-looking perspective on its transformative potential. We envision its continued impact in advancing our fundamental understanding of NDDs and accelerating translation into clinical practice—from the discovery of novel biomarkers for early diagnosis to the development of high-throughput drug screening platforms and the realization of precision medicine for individuals affected by these devastating disorders.

Aim To investigate the anti-acute lung injury(ALI)effect of Sterculiae Lychnophorae Semen(SLS)and its mechanism.Methods The main ac-tive components of SLS and their core targets and path-ways of action against ALI were obtained by network pharmacology methods.Subsequently,molecular doc-king technology and in vitro cellular experiments were applied for validation.Results A total of 19 core tar-gets were obtained,including HSP90AA1,CASP3,TNF,MAPK8 and MAPK14.The mechanisms may in-volve signaling pathways such as cancer,PI3K/Akt and MAPK.Molecular docking confirmed that the key targets of SLS formed a better binding activity with the relevant active ingredients.The in vitro results showed that SLS was able to protect the PM2.5-contaminated BEAS-2B cells,inhibit their NO,IL-1β and TNF-αlevels,and reduce the expression of p-p38 MAPK and p-JNK proteins.Conclusions The study successfully predicts the active ingredients,targets and signaling pathways of SLS against ALI,and in vitro experiments demonstrate that SLS might protect BEAS-2B cells from PM2.5 stimulus-induced inflammation and apoptosis by inhibiting the over-activation of p38 MAPK and JNK signaling pathways.

Aim To observe the mechanism of salvian-olic acid B(SalB)against oxygen glucose deprivation/re-oxygenation(OGD/R)injury in H9c2 cardiomyo-cytes.Methods The protective concentration of SalB against OGD/R-injured H9c2 cardiomyocytes was screened by CCK-8 assay.The levels of lactate dehy-drogenase(LDH),aspartate transaminase(AST)and creatine kinase(CK)were detected by ELISA kit.The mechanism of action of SalB on OGD/R-injured H9c2 cardiomyocytes was explored using high-through-put sequencing of the transcriptome.The binding of SalB to differential proteins was assessed using molecu-lar docking assays.Fatty acid content was determined using free fatty acid kits.The relative expressions of mRNA and protein of differential genes were verified by RT-qPCR and Western blot.The causal relationship between the target of action of SalB and heart failure was examined by Mendelian randomization experiment.Results SalB protected OGD/R-injured H9c2 cardio-myocytes and significantly reduced the levels of CK,LDH and AST compared with the blank control group.One hundred differential genes were screened by tran-scriptome sequencing,which were mainly involved in fatty acid elongation,central carbon metabolism of cancer,tryptophan metabolism pathways.Molecular docking showed that SalB had good binding energy to differential proteins.The mRNA and protein expression of core differential genes Elovl6,Echs1 and Acot1 were consistent with the transcriptome sequencing results.SalB reduced fatty acidsafter OGD/R injury.Mende-lian randomization experiments suggested that SalB might reduce the risk of heart failure through fatty acid metabolism,thereby reducing the risk of heart failure.Conclusion SalB can protect H9c2 cardiomyocytes after OGD/R injury by down-regulating Elovl6,Echs1 and Acot1 expression through the fatty acid metabolism pathway.

This study analyzed soil-transmitted nematode infection surveillance data for children 3-9 years of age in Shaanxi Province from 2016 to 2023,to provide a scientific basis for control strategies for soil-transmitted nematode infections in children in the province.Since 2016,according to the requirements of the National Schistosomiasis and Soil-transmitted Nematode Surveillance Program(Trial),several counties and districts in Shaanxi Province were selected as surveillance sites every year.According to geo-graphical position,the surveillance sites were divided into five areas:east,west,south,north and middle,and one administrative vil-lage(community)was selected in each area for monitoring.The eggs of soil-transmitted nematodes(hookworm,Ascaris lumbricoides,Trichuris trichiura,and Enterobius vermicularis)were detected with the Kato-Katz technique in children 3-9 years of age at each sur-veillance site,and the eggs of Enterobius vermicularis were detected again with the cellophane tape anal swab method.The infection rate and intensity for E.vermicularis were calculated.Detection was performed in 12 462 children 3-9 years old at 75 surveillance sites in Shaanxi Province from 2016 to 2023;84 cases of soil-borne nematode infections were detected,and the overall infection rate was 0.67%.The infection rates for Ascaris lumbricoides and E.vermicularis were 0.18%(22/12 462)and 0.50%(62/12 462),respec-tively,and the infection rates for Trichuris trichiura and hookworm were not found.The infection rates of soil-transmitted nematodes in children were 1.28%(16/1 250),0.16%(2/1 252),1.25%(17/1 365),1.20%(18/1 494),0.17%(2/1 169),1.45%(20/1 382),0.00,and 0.36%(9/251),respectively.A linear trend was observed among years(χ2=11.973,P<0.001).The infection rates in the Weifen Basin ecological region,Loess Plateau ecological region,and Qinba Mountains ecological region were 0.51%,1.19%,and 0.72%,respectively,and the differences were statistically significant(χ2=9.726,P=0.008).Significant differences in infection rates were observed among scattered children(1.63%),preschool children(0.66%),and students(0.57%)(χ2=11.189,P=0.004).No significant differences in infection rates were observed by gender,age,and education level.Compared with the infection rates in the entire country and other provinces,the infection rate of soil-transmitted nematodes among children in Shaanxi Province was low,and the main infection species were Ascaris lumbricoides and E.vermicularis.The infection rates greatly varied within Shaanxi Prov-ince,possibly because of differences in economic development levels,children′s living habits,and personal hygiene status across re-gions.In the future,comprehensive control measures should be taken to strengthen the monitoring and control of key areas,popula-tions,and parasite species.

Objective·To analyze the clinicopathologic characteristics,gene mutation profile,and prognostic factors of patients with adrenal diffuse large B-cell lymphoma(DLBCL).Methods·From March 2002 to December 2022,a total of 105 patients with adrenal DLBCL admitted to Ruijin Hospital,Shanghai Jiao Tong University School of Medicine were retrospectively analyzed for their clinicopathological data,survival outcomes,and prognostic factors.Patients'gene mutation profiles were evaluated by targeted sequencing of 152 lymphoma-related genes.Results·The median age of the patients was 62(15?82)years and the male-to-female ratio was 2.3∶1.Among them,63 patients(60.0%)were over 60 years old,22 patients(21.0%)had an Eastern Cooperative Oncology Group(ECOG)performance status of two or higher,87 patients(82.9%)were staged Ann Arbor Ⅲ?Ⅳ,92 patients(87.6%)had elevated serum lactate dehydrogenase(LDH)levels(above the upper limit of reference),84 patients(80.0%)had extranodal invasion in at least two organs,67 patients(63.8%)were of non-germinal center B-cell(non-GCB)origin,and 95 patients(90.5%)had an international prognosis index(IPI)scored over 2.With a median follow-up of 28.3(0.7?191.9)months,the estimated 2-year overall survival(OS)rate and progression-free survival(PFS)rate were 68.3%and 53.1%,respectively.The estimated 5-year OS rate and PFS rate were 52.6%and 44.0%,respectively.Among 93 patients who could be evaluated for clinical outcomes,62(66.7%)got a complete response(CR).Univariate analysis and multivariate Cox analysis revealed that age over 60 years was an adverse prognostic factor for PFS,and ECOG performance status of two or higher was an adverse prognostic factor for both OS and PFS.Targeted gene sequencing in 46 adrenal diffuse DLBCL patients showed high mutation frequencies in lysine methyltransferase 2D(KMT2D;n=17,37%),Pim-1 proto-oncogene,serine/threonine kinase(PIM1;n=17,37%),MYD88 innate immune signal transduction adaptor(MYD88;n=15,33%),CD79b molecule(CD79B;n=13,28%),and BTG anti-proliferation factor 2(BTG2;n=10,22%).Conclusion·Age over 60 years is an adverse prognostic factor for PFS,and ECOG performance status of two or higher is an adverse prognostic factor for both OS and PFS in patients with adrenal DLBCL.Patients exhibited high frequencies of KMT2D,PIM1,MYD88,CD79B,and BTG2 mutations,as well as an increased proportion of the MCD-like subtype.

Objective:To analyze the clinical characteristics of patients with pregnancy-related chronic pain visiting the pain clinic.Methods:The number of pregnant patients who completed a pregnancy registration at the Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University from 2022 to 2024 was collected. The medical records were reviewed to identify the patients who visited the department of pain of our hospital due to chronic pain related to pregnancy. The clinical characteristics such as the visiting situation, gestational weeks, age and types of pain were analyzed.Results:From 2022 to 2024, the total number of registered pregnant patients was 64, 818, of which, 2, 224 cases visited the pain clinic, and the annual proportions of pregnancy-related chronic pain visits were 2.540%, 3.836% and 3.889% respectively. Among the patients who attended the clinic, 77.97% were pregnant (5.82% in early pregnancy, 41.93% in mid-pregnancy, and 52.25% in late pregnancy), and 21.03% were postpartum patients. A total of 83.72% were aged 20-34 yr. The types of pain were pelvic girdle pain (40.96%), limb joint pain (28.82%), low back pain (14.16%), cervical spondylosis (3.64%), peripheral nerve entrapment syndrome (3.42%), headache (2.97%), chest and back pain (2.79%), pelvic and perineal pain (1.66%), neuralgia (0.94%) and other pains (0.63%).Conclusions:From 2022 to 2024, the proportion of registered pregnant women at our hospital who visited to the pain clinic due to pregnancy-related chronic pain increases year by year. The common types of pain are pelvic girdle pain, limb joint pain and low back pain.

Objective To investigate the one-year postpartum weight retention for patients with gestational diabetes mellitus(GDM)and analyze its related influencing factors,so as to improve the postpartum weight retention.Methods GDM women who were diagnosed and gave birth at the Obstetrics and Gynecology Hospital,Fudan University from Oct 2022 to May 2023 were selected as the research subjects.The GDM postpartum weight status survey questionnaire was used to conduct a survey of one-year postpartum weight retention status and analyze relevant influencing factors.Results A total of 150 GDM postpartum women were included,with a weight retention rate of 46.7%one year after delivery,including a high weight retention rate of 25.3%.The follow-up rate of postpartum glucose tolerance was 36.0%,and the influencing factors of postpartum weight retention were excessive gestational weight gain(OR=2.883,95%CI:1.226-6.779)and the presence of dietary risk(OR=4.604,95%CI:1.065-19.903).Conclusion The one-year postpartum weight retention after GDM is relatively high.The possible influencing factors are excessive weight gain during pregnancy and dietary risk after delivery.Attention should be paid to the weight and healthy diet management of GDM during pregnancy and postpartum from multiple dimensions.

Background and Aims:Endovascular repair of aortic arch diseases poses a major challenge in vascular surgery due to the need to both effectively exclude the lesion and preserve perfusion of supra-aortic branch vessels.The Castor branched aortic covered stent,with its integrated design and ability to maintain left subclavian artery(LSA)patency,offers potential advantages.When combined with the chimney technique for the left common carotid artery(LCCA),it may provide a minimally invasive and feasible solution for patients with insufficient proximal landing zones.This study aims to evaluate the preliminary feasibility and safety of this combined approach and provide clinical reference for the endovascular management of complex aortic arch pathologies.Methods:A retrospective analysis was conducted on 15 patients with aortic arch diseases who underwent treatment with the Castor branched stent-graft combined with LCCA chimney stenting at the Second Xiangya Hospital of Central South University between February 2023 and December 2024.Baseline characteristics,surgical procedures,perioperative complications,and follow-up outcomes were analyzed to assess technical success,complication rates,and branch vessel patency.Results:Among the 15 patients(11 males,average age 63.8 years),primary diagnoses included aortic dissection(33.4%),aortic arch aneurysm(53.3%),and penetrating aortic ulcer(13.3%).The technical success rate was 100%,with no perioperative deaths or major complications.During the follow-up period(4-26 months,mean 12.9 months),no adverse events such as stroke,paralysis,endoleak,or stent migration occurred.The patency rate of both the LCCA and LSA remained 100%.Conclusion:The Castor branched aortic stent-graft combined with LCCA chimney technique appears to be a technically feasible and safe short-term option for treating aortic arch diseases with insufficient proximal landing zones.It may serve as a promising alternative for complex aortic arch repair;however,large-scale,multicenter studies with long-term follow-up are needed to further validate its efficacy and safety.