ObjectiveTo investigate the differential expression of LEFTY1 in peritoneal dialysis （PD）-associated peritoneal fibrosis （PF） and its clinical value. MethodsLevels of LEFTY1， transforming growth factor-β （TGF-β）， and fibronectin （FN） in peritoneal dialysis effluent were measured in 72 PD patients， and clinical data were collected. Differences in these indicators were compared among groups with different dialysis durations， and the correlation between LEFTY1 and clinical parameters was analyzed to evaluate its predictive value for ultrafiltration insufficiency. ResultsLEFTY1 levels decreased progressively with longer dialysis duration： short-term group ［（2 262.49±270.47） ng/mL］ > mid-term group ［（1 853.52±226.06） ng/mL］ > long-term group ［（1 767.24±264.57） ng/mL］， with significant differences among groups （P<0.001）. TGF-β and FN levels increased with prolonged dialysis duration （P<0.05）. Correlation analysis revealed that LEFTY1 was significantly negatively correlated with FN （r=-0.327， P=0.004）， dialysis duration （r=-0.496，P<0.001）， peritoneal Kt/V （r=-0.333， P=0.004）， peritoneal creatinine clearance （r=-0.239， P=0.043）， and serum calcium （r=-0.410， P<0.001）， while positively correlated with total creatinine clearance （r=0.283， P=0.016）. The area under the ROC curve for LEFTY1 combined with peritoneal Kt/V and peritoneal Ccr in predicting ultrafiltration insufficiency was 0.739. Multivariate regression analysis identified dialysis duration as an independent influencing factor for LEFTY1 expression （P=0.001）. ConclusionThe expression of LEFTY1 in the peritoneal dialysis effluent of PD patients decreases with prolonged dialysis duration and is negatively correlated with pro-fibrotic indicators， suggesting that it may play a potential anti-fibrotic role in the progression of PF. The combined detection of LEFTY1 and solute removal indicators holds value for the early identification of ultrafiltration dysfunction.

CRISPR-Cas-based biosensing systems have become important platforms for rapid nucleic acid detection because of their programmable sequence recognition and high specificity. In many diagnostic workflows, the CRISPR reaction is coupled with polymerase chain reaction or isothermal pre-amplification to enrich low-abundance targets before readout. This design improves sensitivity, but it also introduces additional primers and enzymes, requirements for temperature control and reaction compatibility, and a higher demand for contamination management. These factors make the whole assay less convenient for integrated and field-deployable point-of-care testing. Developing pre-amplification-free CRISPR assays is therefore not simply a pursuit of shorter protocols, but a way to simplify molecular diagnosis at the system level, especially in settings where rapid decisions, closed workflows, and minimal manual operation are required. Microfluidic devices provide an important engineering route for this purpose. Their small reaction volumes, precise fluid manipulation, high-throughput partitioning, and compatibility with portable readout make it possible to integrate target confinement, reaction control, signal acquisition, and quantitative analysis on a chip. Droplet microfluidics and microwell arrays can divide a sample into large numbers of independent microreactors, enabling digital counting of rare recognition events. Continuous-flow, centrifugal, and paper-based microfluidic formats further provide options for automated operation, low-cost fabrication, and on-site use. In this context, microfluidics is not only a signal-enhancement method, but also a platform that connects CRISPR molecular recognition with practical assay implementation. This review summarizes recent progress in microfluidic-based pre-amplification-free CRISPR-Cas biosensing for rapid detection. We focus on four related technical directions. crRNA engineering, including spacer-length tuning, multi-crRNA design, chemical modification, and allosteric regulation, can improve recognition kinetics, nuclease stability, and mismatch discrimination. Digital microfluidic detection based on droplets or microwell arrays converts single-molecule recognition events into countable positive partitions, thereby improving quantitative capability without target pre-amplification. Physical signal transduction interfaces couple CRISPR activity to electrochemical, electrochemiluminescent, fluorescent, or surface-enhanced Raman scattering readouts, making weak molecular signals easier to detect with portable instruments. On-chip cascade signal amplification strategies further enhance output intensity through enzymatic reactions, DNA circuits, nanomaterials, or cross-domain amplification modules while avoiding direct amplification of the target nucleic acid. Together, these strategies show that the performance of a pre-amplification-free assay depends not only on biochemical recognition, but also on how the reaction is confined, amplified, transduced, and operated. In addition to describing these mechanisms, this review compares different strategies in terms of sensitivity improvement, operational complexity, cost, and suitability for point-of-care testing. Representative applications in food authenticity identification and rapid pathogen screening are also discussed to illustrate how these platforms perform in practical scenarios. Finally, we analyze the remaining challenges, including the detection of low-abundance targets in complex matrices, on-chip sample preparation, device-to-device reproducibility, long-term reagent storage, and standardization. Future development will likely depend on tighter integration of sample processing, CRISPR reaction, signal readout, and data interpretation, ultimately moving pre-amplification-free CRISPR diagnostics toward automated and user-friendly sample-to-answer systems.

Tumor drug resistance is an important problem in the failure of chemotherapy and targeted drug therapy, which is a complex process involving chromatin remodeling. SWI/SNF is one of the most studied ATP-dependent chromatin remodeling complexes in tumorigenesis, which plays an important role in the coordination of chromatin structural stability, gene expression, and post-translation modification. However, its mechanism in tumor drug resistance has not been systematically combed. SWI/SNF can be divided into 3 types according to its subunit composition: BAF, PBAF, and ncBAF. These 3 subtypes all contain two mutually exclusive ATPase catalytic subunits (SMARCA2 or SMARCA4), core subunits (SMARCC1 and SMARCD1), and regulatory subunits (ARID1A, PBRM1, and ACTB, etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca²⁺ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca²⁺ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.

Degenerative cervical myelopathy(DCM)is a group of diseases caused by cervical spine degeneration that compresses the spinal cord.It is a major cause of spinal cord dysfunction in adults,and its incidence is increasing globally.In the late stage,DCM could lead to paralysis due to spinal cord injury,which makes rapid,effective,and accurate medical diagnosis clinically significant.Deep learning(DL)technology can assist physicians in the rapid and accurate diagnosis of DCM by analyzing and processing a large amount of imaging data to extract features of the affected regions.In recent years,DL algorithm models have been leveraged for DCM-related research,which has become a focal point of intelligent medical development.In this review,domestic and international literature is surveyed,and the research progress and application of DL technology in the auxiliary diagnosis and prognosis evaluation of DCM are systematically summarized,aiming to provide a reference for intelligent diagnosis in clinical practice.

Colorectal inflammatory cancer transformation poses a major risk to patients with colitis.Patients with chronic intestinal inflammation have an approximately 2-3 fold increased risk of developing colorectal cancer(CRC).Unfortunately,there is currently no effective intervention available.Huangqin decoction(HQD),a well-known traditional Chinese medicine(TCM)formula,is frequently clinically prescribed for treating patients with colitis,and its active ingredients have effective antitumour efficacy.Nonetheless,the mechanism of HQD-mediated prevention of colorectal inflammatory cancer transformation remains unclear.A strategy integrating metagenomic,lipidomic,and messenger RNA(mRNA)sequencing analysis was used to investigate the regulatory effects of HQD on the gut microbiome,metabolism and potential mechanisms involved in colorectal inflammatory cancer transformation.Our study revealed that HQD suppressed colorectal inflammatory cancer transformation,which was associated with enhanced in-testinal barrier function,decreased the inflammatory response,and regulation of the gut microbiome.Notably,cohousing experiments revealed that the transfer of the gut microbiome from HQD-treated mice largely inhibited the pathological transformation of colitis.Moreover,gut microbiome transfer from HQD-treated mice primarily resulted in the altered regulation of fatty acid metabolism,especially the remodeling of arachidonic acid metabolism,which was associated with the amelioration of pathological transformation.Arachidonic acid metabolism and the key metabolic enzyme arachidonic acid 12-lipoxygenase(ALOX12)were affected by HQD treatment,and no obvious protective effect of HQD was observed in Alox12-/-mice,which revealed that ALOX12 was a critical mediator of HQD protection against colorectal inflammatory cancer transformation.In summary,multiple omics analyses were applied to produce valuable data and theoretical support for the application of HQD as a promising intervention for the transformation of inflammatory CRC.

Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the"therapeutic module"of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

AIM To establish the HPLC characteristic chromatograms for Yixin Fumai Granules,and to determine the contents of sodium danshensu,protocatechualdehyde,chlorogenic acid,calycosin-7-O-β-D-glucoside,ferulic acid,rosalinic acid,salvianolic acid A,salvianolic acid B,schisandrol A.METHODS The analysis was performed on a 35 ℃ thermostatic Acutfex PA-C18 column(4.6 mm ×250 mm,5 μm),with the mobile phase comprising of acetonitrile-0.1％phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelengths were set at 210,250,280,320 nm.Subsequently,cluster analysis and principal component analysis were performed.RESULTS There were 11 characteristic peaks in the characteristic chromatograms for 15 batches of samples with the similarities of more than 0.980.Nine constituents showed good linear relationships within their own ranges(r≥0.999 6),whose average recoveries were 97.60％-107.02％with the RSDs of 0.78％-1.87％.Various batches of samples were clustered into 4 categories,2 principal components demonstrated the accumulative variance contribution rate of 89.454％.CONCLUSION This sensitive and reproducible method can provide a reference for the quality evaluation and control of Yixin Fumai Granules.

Objective:This study aims to investigate the predictive performance of serum levels of white blood cell count(WBC),D-dimer(D-D)and N-terminal pro-brain natriuretic peptide(NT-proBNP)for major adverse cardiovascular events(MACE)in elderly patients with acute ST-segment elevation myocardial infarction(ASTE-MI).Methods:A total of 70 elderly patients with ASTEMI treated in Bozhou People's Hospital between April 2020 and May 2023 were prospectively selected as observation group.Incidence of MACE during 1-year follow-up were recorded,another 50 patients with unstable angina pectoris treated in our hospital simultaneously were selected as control group.Serum levels of WBC,D-D and NT-proBNP were compared among above groups.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of serum WBC,D-D and NT-proBNP for MACE in elderly patients with ASTEMI.A nomogram was established,and calibration curve and deci-sion curve analysis(DCA)were used to evaluate the performance of model.Results:A total of 40 cases(59.70％)experienced MACE during one-year follow-up.Compared to those in control group,patients in observation group had significant higher serum WBC[(11.43±1.98)×109/Lvs.(6.30±1.99)× 109/L],D-D[(0.91±0.20)mg/L vs.(0.47±0.18)mg/L]andNT-proBNP[(192.31±63.19)pg/ml vs.(114.05±22.79)pg/ml](P＜0.001 all).Compared to participants without MACE,those with MACE had significantly higher serum WBC[(13.33±1.90)× 109/L vs.(10.27±0.98)× 109/L],D-D[(1.11±0.25)mg/L vs.(0.87±0.21)mg/L]and NT-proBNP[(238.73±50.22)pg/ml vs.(150.70±39.16)pg/ml](P＜0.001 all).ROC analysis showed that the ar-ea under the curve(AUC)of the combined detection of serum WBC(AUC=0.791,95％CI 0.677～0.879),D-D(AUC=0.767,95％CI 0.650～0.859)and NT-proBNP(AUC=0.733,95％CI 0.614～0.832)was 0.916(95％CI 0.825～0.969),which was significantly higher than those of single detections(Z=2.386,4.953,3.190,P=0.017,0.004,＜0.001).The total score of the nomogram model constructed based on the levels of WBC,D-D and NT-proBNP ranged from 70 to 126 points.The predicted incidence was basically consistent with the actual in-cidence.For the internal verification of the model,the AUC of ROC curve of the training set and the validation set was 0.863 and 0.926 respectively.The DCA curve was located above the critical curve,indicating that the model had a net benefit and good clinical effectiveness.Conclusion:Serum WBC,D-D and NT-proBNP significantly el-evated in elderly patients with ASTEMI.The combined detection of serum WBC,D-D and NT-proBNP levels has good predictive value for MACE in these patients.

Objective:To evaluate the surgical outcomes of recalcitrant medial epicondylitis combined with recalcitrant lateral epicondylitis or without.Methods:A retrospective study was conducted to analyze the clinical data of the 41 patients who had undergone suture repair of the flexor tendon via a small incision for recalcitrant medial epicondylitis between January 2010 and December 2023 at Department of Sports Medicine, Beijing Jishuitan Hospital, Capital Medical University. There were 13 males and 28 females, with an age of (52.4±7.6) years and duration of symptoms of 12 (6, 24) months. Of the patients, 26 suffered from simple recalcitrant medial epicondylitis (the simple group) and 15 recalcitrant medial epicondylitis combined with recalcitrant lateral epicondylitis (the combined group subjected to additional suture repair of the lateral tendon). The visual analogue scale (VAS) for pain, Mayo elbow performance score (MEPS), disabilities of the arm, shoulder, and hand (DASH) score, and grip strength level were evaluated at preoperation, postoperative 3 months, and the final follow-up to evaluate the surgical efficacy. Comparisons were made within the 2 groups.Results:The follow-up time for all patients was 12 (12, 16) months. At postoperative 3 months and the final follow-up, the VAS pain score [3.0 (1.8, 5.0) points, and 0.0 (0.0, 2.0) point], MPES [85.0 (81.3, 85.0) points, and 100.0 (85.0, 100.0) points], and DASH score [18.9 (12.7, 26.7) points, and 0.0 (0.0, 7.3) point] in the simple group were significantly improved compared with those at preoperation [5.0 (4.0, 7.0) points, 70.0 (65.0, 85.0) points, and 34.9 (23.2, 46.2) points] ( P<0.05). In the simple group, the grip strength at the final follow-up (88.4%±7.0%) was significantly improved compared with that at preoperation (50.2%±14.7%) ( P<0.05), but the difference in the grip strength was not statistically significant between that at postoperative 3 months (56.2%±12.3%) and that at preoperation ( P=0.137). In the combined group, at postoperative 3 months and the final follow-up, the VAS pain score [3.0 (3.0, 4.0) points, and 0.0 (0.0, 1.0) point], MPES [85.0 (85.0, 85.0) points, and 100.0 (85.0, 100.0) points], DASH score [16.7 (13.3, 23.3) points, and 3.3 (0.0, 7.0) points], and grip strength (58.9%±11.2%, and 86.9%±5.5%) were significantly improved compared with those at preoperation [5.0 (5.0, 7.0) points, 70.0 (60.0, 70.0) points, 45.6 (33.3, 46.6) points, and 43.7%±16.1%] ( P<0.05). Follow-ups revealed no complications requiring further treatment in all the patients. Conclusions:Early clinical follow-ups show that suture repair of the affected tendon through a small incision is an effective treatment of recalcitrant medial epicondylitis. Additional suture repair of the lateral tendon can also achieve good outcomes for those combined with recalcitrant lateral epicondylitis.

AIM:To investigate the potential mechanism of neutrophil extracellular traps(NETs)in the pla-centa during the pathogenesis of preeclampsia(PE).METHODS:Differential neutrophil infiltration in PE versus normo-tensive placentas was assessed using placental transcriptome sequencing data.Single-cell sequencing analysis of GSE173193 dataset was conducted to evaluate the expression of NETs formation-related genes in neutrophils from PE pla-centa and control placenta.Immunofluorescence and ELISA were used to measure NETs levels in placental tissues.Fol-lowing NETs generation and treatment of human extravillous trophoblast(EVT)HTR8/Svneo strain with NETs,RNA se-quencing was utilized to identify potential signaling pathways through which NETs regulate trophoblast function.RE-SULTS:Neutrophil infiltration,and expression of NETs formation critical genes,MPO(myeloperoxidase)and ELANE(elastase,neutrophil expressed),in neutrophils were significantly increased in PE placentas compared with controls.The level of NETs was elevated in PE placentas as well.The NETs significantly inhibited the migration of HTR8/Svneo cells.Disrupted F-actin arrangement,aggregate formation,and reduced paxillin expression were observed in NETs-treated HTR8/Svneo cells.Single-cell sequencing analysis revealed that focal adhesion and stress fiber pathways were down-regu-lated in the EVT of PE placenta.CONCLUSION:Neutrophil infiltration and NETs formation were increased in PE.The NETs may inhibit EVT migration by inducing stress fiber disassembly and down-regulating paxillin expression,thereby dis-rupting cytoskeletal organization and focal adhesion formation.