"Spirit turns but does not reverse； if it reverses， it ceases to turn" originates from the Plain Questions： Discussion on Essential Jade Plates （《素问·玉版论要篇》）. It profoundly summarizes the objectivity of life as a phenomenon subject to the laws of the universe and nature， while also expressing the subjectivity of individuals possessing systematic， stable， and ordered biological rhythms. In light of relevant ancient philosophical insights， the theory of "spirit turns but does not reverse； if it reverses， it ceases to turn" embodies the principles of constant motion in life， change according to dao （道）， orderly progression， and the rule that reversal disrupts continuity. In clinical diagnosis and treatment， one should adopt the therapeutic principle of regulating spirit to promote "spirit turning". Guiding along the trend and acting in accordance with the natural momentum must be adopted to maintain the operation of spirit turning. Adhering to constancy while recognizing variability， and prioritizing harmony above all， should be employed to ensure the orderly progress of spirit turning. Regulating qi movement serves as the driving force behind facilitating spirit turning. This will provide clinical insights and theoretical foundations for treating diseases through the concept of "regulating spirit".

"Spirit turns but does not reverse； if it reverses， it ceases to turn" originates from the Plain Questions： Discussion on Essential Jade Plates （《素问·玉版论要篇》）. It profoundly summarizes the objectivity of life as a phenomenon subject to the laws of the universe and nature， while also expressing the subjectivity of individuals possessing systematic， stable， and ordered biological rhythms. In light of relevant ancient philosophical insights， the theory of "spirit turns but does not reverse； if it reverses， it ceases to turn" embodies the principles of constant motion in life， change according to dao （道）， orderly progression， and the rule that reversal disrupts continuity. In clinical diagnosis and treatment， one should adopt the therapeutic principle of regulating spirit to promote "spirit turning". Guiding along the trend and acting in accordance with the natural momentum must be adopted to maintain the operation of spirit turning. Adhering to constancy while recognizing variability， and prioritizing harmony above all， should be employed to ensure the orderly progress of spirit turning. Regulating qi movement serves as the driving force behind facilitating spirit turning. This will provide clinical insights and theoretical foundations for treating diseases through the concept of "regulating spirit".

Objective: To evaluate the diagnostic performance of magnetic resonance spectroscopy (MRS) in discriminating fumarate hydratase-deficient (FH-d) uterine leiomyomas (ULs) from FH-preserved ULs. Materials and Methods: This study consisted of three stages, with independent cohorts recruited for each stage: 1) sample-size estimation was retrospectively performed on UL specimens (diameter ≥3 cm; age, 20–40 years) from our database with immunohistochemistry (IHC) for 2-succinocysteine (2-SC) as the reference, without genetic testing, 2) MRS sequence optimization in confirmed FH germline mutation participants with ultrasound-detected ULs (diameter ≥3 cm), without IHC analysis, and 3) prospective diagnostic test accuracy was evaluated in consecutive participants with ultrasound-detected ULs (diameter ≥3 cm;age, 20–40 years), using IHC for 2-SC for determining the FH status and subsequent genetic testing in those with positive 2-SC results to identify whether FH mutations were germline or somatic in origin. The choline and fumarate peaks in MRS were classified as positive, negative, or technical failure (TF). TFs were analyzed separately and excluded from the primary diagnostic accuracy calculations. T1-, T2-, and diffusion-weighted images were interpreted as hyperintense or hypointense. The enhancement rate and apparent diffusion coefficient were also acquired. Diagnostic performance was compared between MRS and various magnetic resonance imaging (MRI) features. Results: The optimal MRS parameters for the fumarate peak were echo time (TE) = 140 ms and an average of 256. Among the 360 prospective participants, 37 were confirmed to have FH-dULs. MRS showed positive fumarate peaks in 35 of 37 FH-dULs.After excluding six TFs, the positive fumarate peak on MRS showed 94.6% (35/37) sensitivity, 99.7% (316/317) specificity, and 99.2% (351/354) accuracy, all of which were significantly superior to those of other MRI features (P ≤ 0.002). Conclusion A positive fumarate peak on MRS may be a useful imaging biomarker for diagnosing FH-dULs.

The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

Objective To investigate the changes in the levels of D-dimer(D-D),fibrin degradation product(FDP),thrombomodulin(TM),thrombin-antithrombin complex(TAT),tissue plasminogen activator-plasminogen activator inhibitor-1 complex(t-PAIC),and plasmin-alpha 2 plasmin inhibitor complex(PIC)during the treatment of patients with acute myeloid leukemia(AML)and their predictive value for efficacy and prognosis.Methods Thirty-one AML patients initially diagnosed at Guidong People's Hospital of Guangxi Zhuang Autonomous Region from January 2022 to December 2024 were collected as observation group,and 34 healthy medical checkupers were selected as control group.The changes in the levels of the indicators between two groups as well as before,during and after the treatment of observation group were compared,and observation group was divided into remission group and non-remission group according to the efficacy criteria,and the levels of the indicators between two groups were further compared.Risk factors for the efficacy and prognosis of AML patients were analyzed by using Logistic regression analysis.Results Before treatment,the levels of prothrombin time(PT),activated partial thromboplastin time(APTT),D-D,FDP,t-PAIC,PIC,TM and TAT in observation group were significantly higher than those in control group(P＜0.05),whereas there was no significant difference in fibrinogen(Fib)compared with control group(P＞0.05).During the treatment,the levels of t-PAIC and TM in observation group were higher than those before treatment(P＜0.05);After treatment,the levels of PT,D-D,FDP,PIC and TAT in observation group were significantly lower than those before treatment(P＜0.05).After treatment,the levels of PT,D-D,FDP,t-PAIC,PIC,TM and TAT were all lower than those during treatment(P＜0.05).The D-D,FDP,t-PAIC,PIC,TAT and TM levels in non-remission group were all higher than those in remission group,with the t-PAIC and TM levels showing statistical significance(P＜0.05).Binary Logistic regression analysis showed that t-PAIC was an independent risk factor affecting the efficacy and prognosis of AML patients(P＜0.05,OR=1.205,95％CI:1.015-1.430).Conclusion Regular testing of D-D,FDP,TM,TAT,t-PAIC and PIC levels can help to assess the disease changes and efficacy prognosis of AML patients,and provide an important reference for clinical decision-making.

This review summarizes recent advances in neoadjuvant immunotherapy for advanced gastric cancer.Through literature search in PubMed,Web of Science,and CNKI databases from 2020 to 2023,we systematically analyzed the mechanisms,clinical applications,and bio-marker research.Programmed death-1(PD-1)inhibitors combined with chemotherapy significantly improve patient outcomes,while mi-crosatellite instability(MSI),programmed death-ligand 1(PD-L1)expression,and tumor mutational burden(TMB)have been identified as important predictive biomarkers.Multi-omics analysis shows great potential in identifying optimal responders,with pyroptosis-related gene scoring system(PRS)positively correlating with anti-tumor immune infiltration.Metabolic reprogramming and epigenetic regulation in the tumor microenvironment play key roles in immune evasion,while emerging targets such as Claudin 18.2 and combination targeting strategies further enhance therapeutic efficacy.Despite significant progress,precise patient selection and overcoming resistance mechan-isms remain major challenges.Future research should focus on biomarker validation,personalized treatment strategy development,tumor microenvironment dynamic analysis,and novel combination therapy exploration to improve clinical outcomes.

Objective To construct a mammography image classification assistant system suitable for Chinese population,and explore the potential of artificial intelligence technology to assist early screening of breast cancer in China.Methods Curated breast imaging subset of digital database for screening mammography(CBIS-DDSM),Mammographic image analysis society database(MIAS)and other international open datasets were used to conduct model training respectively in order to reproduce the mainstream in-depth learning methods in the current literature.The model was also tested on the Chinese breast mammography database(CBMD)provided by Huajiao Technology Co.,Ltd,and the performance was compared.Aiming at the problem that the Chinese population data are not ideal in the performance test of the open dataset training model,an optimization strategy based on the sliding window adjustment mechanism was implemented in combination with the characteristics of Chinese population data.Then a two-stage migration learning method was designed to improve the overall performance of the model,and then development of our system was carried out.Results With the sliding window adjustment mechanism and the CBMD training model after two-stage transfer learning,the accuracy of our developed system was improved from 0.50 of the open datasets to 0.80,precision from 0.54 to 0.82,sensitivity from 0.52 to 0.80,F1 value from 0.52 to 0.80,and AUC value from 0.51 to 0.89 based on the Chinese population dataset as the test set.Conclusion Through the introduction of sliding window adjustment mechanism and two-stage migration learning strategy,the performance of the breast molybdenum target image classification model has been significantly improved in the Chinese population dataset,and our system primarily achieves the purpose of assisting the classification of breast molybdenum target images for the Chinese population.

Ferric oxide/nitrogen-doped carbon nanomaterials(Fe2O3/N-C)with high oxidase-like activity were successfully synthesized via the wet chemistry and pyrolysis method using pyrrole and 1,2,3,4-butanetetracarboxylic acid as raw materials and ferric chloride as the oxidant.The structure and morphology of Fe2O3/N-C were characterized by the techniques including scanning electron microscopy,surface scanning elemental analysis,X-ray diffraction,X-ray photoelectron spectroscopy,and Fourier transform infrared spectroscopy.It was revealed that Fe2O3/N-C could efficiently catalyze the conversion of colorless 3,3',5,5'-tetramethylbenzidine(TMB)into blue-colored oxidized TMB(oxTMB).Based on the principle that ascorbic acid(AA)could inhibit the catalytic color-development reaction of Fe2O3/N-C on TMB,resulting in a paler color and a reduction in the absorbance of the system,a colorimetric sensor for sensitive and accurate detection of AA was constructed.The linear range of the sensor for AA detection was 0.25-30.0 μmol/L,and the detection limit was 0.1 μmol/L.Moreover,it was successfully applied to determination of AA in beverage and tablet samples with satisfactory results.

Objective To investigate the levels and clinical significance of microRNA(miR)-17-5p and miR-141-3p in the serum of children with bacterial meningitis(BM).Methods A total of 111 children with BM ad-mitted to the First Affiliated Hospital of Xinjiang Medical University from May 2019 to May 2022 were in-cluded as the study group,and another 111 healthy children who underwent physical examinations were in-cluded as the control group.Real-time fluorescence quantitative PCR(qRT-PCR)was used to measure the ex-pression levels of serum miR-17-5p and miR-141-3p.Pearson correlation was used to analyze the correlation between serum miR-17-5p,miR-141-3p levels and inflammatory factors in children with BM.Multivariate Lo-gistic regression was applied to analyze the influencing factors of BM occurrence.Receiver operating character-istic(ROC)curve was applied to analyze the diagnostic value of miR-17-5p and miR-141-3p levels for BM.Re-sults The serum levels of miR-17-5p and miR-141-3p in the study group were obviously lower than those in the control group(P＜0.05),while the serum levels of C-reactive protein(CRP),procalcitonin(PCT),inter-feron-γ(IFN-γ),tumor necrosis factor-α(TNF-α),interleukin(IL)-1β,and IL-6 in the study group were high-er than those in the control group(P＜0.05).According to Pearson correlation analysis,miR-17-5p and miR-141-3p were negatively correlated with CRP,PCT,IFN-γ,TNF-α,IL-1β,and IL-6(P＜0.05).According to multivariate Logistic analysis,CRP,PCT,IFN-γ,TNF-α,IL-1β,and IL-6 were risk factors affecting the occur-rence of BM(P＜0.05),while miR-17-5p and miR-141-3p were protective factors affecting the occurrence of BM(P＜0.05).According to the ROC curve,the area under the curve(AUC)of serum level of miR-17-5p for diagnosing BM was 0.756,and the AUC of serum level of miR-141-3p for diagnosing BM was 0.720.The AUC of the combination of the two for diagnosing BM was 0.819,which was larger than that of single detec-tion(Zcombination vs.miR-17-5p=2.278,Zcombination vs.miR-141-3p=2.425,P＜0.05).Conclusion The expression levels of miR-17-5p and miR-141-3p in the serum of children with BM are reduced.The two are related to the levels of inflammatory factors,and their combined detection has a high diagnostic value for BM.

OBJECTIVES: To investigate the effect of Ching Shum Pills (CSP) for alleviating non-alcoholic fatty liver disease (NAFLD) and the underlying mechanism. METHODS: In a mouse model of NAFLD, the therapeutic effect of CSP was evaluated by measuring serum glucose, lipid profiles (TC, TG, LDL-C, HDL-C), and hepatic function markers. Network pharmacology was employed to identify active compounds in CSP and their targets using TCMSP, HERB, SwissTargetPrediction, GeneCards, OMIM, and DisGeNET. Protein-protein interaction (PPI) networks, Gene Ontology (GO), and KEGG pathway analyses were conducted. Molecular docking (AutoDock Vina) was used to assess the compound-target binding affinities. Quantitative real-time PCR (qRT-PCR) was used to validate the mRNA expressions of the core genes in the liver tissue of the mouse models. RESULTS: In the mouse model of NAFLD, treatment with CSP significantly reduced body weight gain and serum TG levels of the mice, and high-dose CSP treatment resulted in obvious reduction of ALT levels and hepatic fat accumulation. Network pharmacology analysis identified quercetin and 2-monolinolenin as the key bioactives in CSP, which target TNF, AKT1, IL6, TP53, and ALB. Docking simulations suggested strong binding between the two core compounds and their target proteins. The results of qRT-PCR showed that high-fat diet induced significant downregulation of Tp53, Cpt1, and Ppara expressions in mice, which was effectively reversed by CSP treatment. CONCLUSIONS CSP can improve lipid metabolism disorders in NAFLD mice through a regulatory mechanism involving multiple targets and pathways to reduce liver fat accumulation and protect liver function. The key components in CSP such as quercetin and linolenic acid monoacylglycerol may participate in the regulation of such metabolic processes as fatty acid oxidation by targeting TP53.
Animals ; Non-alcoholic Fatty Liver Disease/drug therapy* ; Mice ; Drugs, Chinese Herbal/pharmacology* ; Lipid Metabolism/drug effects* ; Molecular Docking Simulation ; Disease Models, Animal ; Liver/metabolism* ; Male ; Lipid Metabolism Disorders/drug therapy* ; PPAR alpha/metabolism* ; Mice, Inbred C57BL ; Network Pharmacology