Objective:Near-infrared(NIR)spectroscopy technology faces the problem of insufficient model generalization due to individual differences in non-invasive blood glucose testing,in order to solve this problem,to improve data utilization,and to build predictive models with stronger generalization ability,this study introduces a transfer learning method to study the NIR spectroscopy non-invasive glucose testing.Methods:Migration learning is a machine learning technique that aims to improve task performance in the target domain by transferring knowledge from the source domain to the target domain.In this study,we used community population data as the source domain and student population data as the target domain to improve the performance of the noninvasive glucose detection model on the target domain.In order to verify the effectiveness of migration learning,this study compares the performance of the model before and after migration learning.Results:the model's performance on the noninvasive glucose detection task is significantly improved by the migration learning strategy,and the MAPE and MAE of the migrated model decreases by 52.5460％and 6.0805％,respectively,and the RMSE and MSE decreases by 10.7215％and 12.1135％.Conclusions:This study demonstrates the promising application of transfer learning in the field of non-invasive blood glucose detection,which is expected to realize portable and continuous blood glucose monitoring in the future by migrating the features that are difficult to access in the source domain but are related to blood glucose values to the target domain,which will greatly improve the quality of life of diabetic patients.Advances in noninvasive glucose testing technology will not only reduce patients' pain,but also provide a more convenient means of glucose monitoring,which will provide strong support for diabetes management.

Objective:Near-infrared(NIR)spectroscopy technology faces the problem of insufficient model generalization due to individual differences in non-invasive blood glucose testing,in order to solve this problem,to improve data utilization,and to build predictive models with stronger generalization ability,this study introduces a transfer learning method to study the NIR spectroscopy non-invasive glucose testing.Methods:Migration learning is a machine learning technique that aims to improve task performance in the target domain by transferring knowledge from the source domain to the target domain.In this study,we used community population data as the source domain and student population data as the target domain to improve the performance of the noninvasive glucose detection model on the target domain.In order to verify the effectiveness of migration learning,this study compares the performance of the model before and after migration learning.Results:the model's performance on the noninvasive glucose detection task is significantly improved by the migration learning strategy,and the MAPE and MAE of the migrated model decreases by 52.5460％and 6.0805％,respectively,and the RMSE and MSE decreases by 10.7215％and 12.1135％.Conclusions:This study demonstrates the promising application of transfer learning in the field of non-invasive blood glucose detection,which is expected to realize portable and continuous blood glucose monitoring in the future by migrating the features that are difficult to access in the source domain but are related to blood glucose values to the target domain,which will greatly improve the quality of life of diabetic patients.Advances in noninvasive glucose testing technology will not only reduce patients' pain,but also provide a more convenient means of glucose monitoring,which will provide strong support for diabetes management.

To investigate the molecular mechanisms underlying the mechanosensitive ion channel PI-EZO2 in osteoarthritis(OA),we developed a lentiviral vector for endogenous PIEZO2 overexpression and established a stable PIEZO2-high-expressing immortalized human primary chondrocyte line.By map-ping the open reading frame of the PIEZO2 locus and designing sequence-specific sgRNA,we employed the CRISPR/Cas9 synergistic activation mediator(SAM)system to precisely integrate transcriptional ac-tivation elements into the PIEZO2 promoter region.Lentiviral-mediated targeted genomic integration en-sured endogenous PIEZO2 overexpression,confirmed by mCherry fluorescence tracing coupled with flow cytometric sorting,which revealed membrane-specific localization of PIEZO2 protein(localization effi-ciency:78.49％).Quantitative PCR demonstrated a 17-fold upregulation of PIEZO2 mRNA,while Western blotting validated enhanced membrane-localized protein expression.Strikingly,PIEZO2-overex-pressing chondrocytes exhibited hallmark OA metabolic phenotypes compared to wild-type controls:typeⅡ collagen mRNA expression decreased to 50％of baseline levels,whereas matrix metalloproteinase 13(MMP13)mRNA surged by 20-fold.These alterations recapitulated the pathological matrix metabolic phenotype observed in biomechanical OA models induced by cyclic mechanical stress(10％strain,0.5 Hz,8 h/day for 2 consecutive days).Collectively,we successfully generated a human chondrocyte model with stable PIEZO2 overexpression,which faithfully mirrors mechanotransduction-driven OA progression.This engineered cellular system provides a robust platform for dissecting PIEZO2-mediated mechanosig-naling networks and advancing targeted therapeutic discovery.

AIM To study the chemical constituents from the leaves of Drynaria fortunei(Kunze)J.Sm.and their antioxidant activity.METHODS ODS-AG-HG,Sephadex LH-20 and semi-preparative HPLC were used for separation and purification,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The antioxidant activity was determined by DPPH mothod.RESULTS Fifteen compounds were isolated and identified as kaempferol-3-O-neohesperidoside(1),dihydrodehydrodiconiferyl alcohol(2),kaempferol-3,7-di-O-α-L-rahmnoside(3),astragalin(4),loliolid(5),trichothecene analogue(6),2,2-[bis-4-(2,3-dihydroxypropoxy)phenyl]propane(7),maculatin(8),trichothecin(9),4-[(Z)-but-2-enoyloxy]-8-chloro-12-hydroxy-7,13-epoxytrichothec-9-ene(10),8-deoxy-trichotecin(11),β-sitosterol(12),daucosterol(13),afzelin(14),samwinol(15).The IC50 values of the leaf and rhizome extracts against DPPH free radicals were(0.072±0.005),(0.287±0.012)mg/mL,respectively.CONCLUSION Compounds 1,2,5-11,15 are isolated from this plant for the first time.The leaves of D.fortunei exhibit strong antioxidant activity.

To investigate the molecular mechanisms underlying the mechanosensitive ion channel PI-EZO2 in osteoarthritis(OA),we developed a lentiviral vector for endogenous PIEZO2 overexpression and established a stable PIEZO2-high-expressing immortalized human primary chondrocyte line.By map-ping the open reading frame of the PIEZO2 locus and designing sequence-specific sgRNA,we employed the CRISPR/Cas9 synergistic activation mediator(SAM)system to precisely integrate transcriptional ac-tivation elements into the PIEZO2 promoter region.Lentiviral-mediated targeted genomic integration en-sured endogenous PIEZO2 overexpression,confirmed by mCherry fluorescence tracing coupled with flow cytometric sorting,which revealed membrane-specific localization of PIEZO2 protein(localization effi-ciency:78.49％).Quantitative PCR demonstrated a 17-fold upregulation of PIEZO2 mRNA,while Western blotting validated enhanced membrane-localized protein expression.Strikingly,PIEZO2-overex-pressing chondrocytes exhibited hallmark OA metabolic phenotypes compared to wild-type controls:typeⅡ collagen mRNA expression decreased to 50％of baseline levels,whereas matrix metalloproteinase 13(MMP13)mRNA surged by 20-fold.These alterations recapitulated the pathological matrix metabolic phenotype observed in biomechanical OA models induced by cyclic mechanical stress(10％strain,0.5 Hz,8 h/day for 2 consecutive days).Collectively,we successfully generated a human chondrocyte model with stable PIEZO2 overexpression,which faithfully mirrors mechanotransduction-driven OA progression.This engineered cellular system provides a robust platform for dissecting PIEZO2-mediated mechanosig-naling networks and advancing targeted therapeutic discovery.

Anemarrhenae Rhizoma is bitter, sweet, and cold in nature, and has the effects of clearing heat, dispelling fire, nourishing Yin, and moisturizing dryness. It is associated with the lung, stomach, and kidney meridians, and is mainly distributed in the northwestern and northern regions of China. Modern research has shown that Anemarrhenae Rhizoma contains various chemical active constituents, including steroidal saponins, flavonoids, polysaccharides, lignans, volatile oils, and alkaloids. These constituents exhibit pharmacological effects such as anti-tumor, hypoglycemic, anti-inflammatory, and neuroprotective activities. However, there have been few comprehensive summaries of Anemarrhenae Rhizoma in recent years, which has limited its in-depth research and development. The complexity of traditional Chinese medicine constituents, along with their quality and efficacy, is easily influenced by processing, preparation, and the growing environment and resource distribution. This paper summarizes the resources, chemical constituents, and pharmacological effects of Anemarrhenae Rhizoma, and predicts its quality markers(Q-markers) from several aspects, including the specificity of chemical composition, properties related to preparation and active ingredients, measurability of chemical components, compounding environment, construction of the ″active ingredient-target″ network pathway, and differences in active ingredient content from different origins and parts. These predicted Q-markers may provide a basis for improving the quality evaluation system of Anemarrhenae Rhizoma.
Anemarrhena/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Rhizome/chemistry* ; Humans ; Animals ; Quality Control

OBJECTIVE: To compare clinical effect of anterior tibial plateau fracture line and anterior tibial fenestration reduction in treating anterolateral tibial plateau column fracture combined with posterior lateral column collapse. METHODS: Fifty-two patients with Schatzker typeⅡ tibial plateau anterolateral column fracture combined with posterolateral column collapse admitted from January 2016 to December 2021 were retrospectively analyzed and divided into two groups according to fracture reduction methods. There were 27 patients in fracture line group, including 19 males and 8 females, aged from 26 to 62 years old with an average of (43.2±11.4) years old;the time from injury to operation ranged from 4 to 8 days with an average of (5.8±1.5) days;treated with reduction and internal fixation via fracture line of lateral platform front. There were 25 patients in fenestrate group, including 13 males and 12 females, aged from 22 to 69 years old with an average of (40.8±11.1) years old;the time from injury to operation ranged from 4 to 8 days with an average of (6.0±1.4) days;treated with tibial fenestration reduction and internal fixation. The amount of bone graft, operation time, fracture healing time and complications were compared between two groups. Posterior slope angle (PSA) and posterior slope angle of the lateral tibial plateau was compared before surgery, 2 days and 6 months after surgery. The knee function was evaluated by Hospital for Speical Surgery (HSS) at 2 days and 6 months after surgery, respectively. Fracture reduction was evaluated by Rasmussen anatomic score of knee joint. RESULTS: Both of group were followed up from 12 to 24 months (16.0±3.4) months. No redisplacement of fracture, internal and external inversion deformity of knee joint, or instability of knee joint were found between two groups during follow-up. In fracture line group, 1 patient occurred wound fat liquefaction and 2 patients occurred lower limb intermuscular venous thrombosis occurred. In fenestration group, 1 patient occurred joint stiffness, 1 patient occurred lower limb intermuscular venous thrombosis, and 1 patient occurred superficial wound infection;there were no significant difference in complications between two groups (P>0.05). Bone graft volume, operative time and fracture healing time in fracture line group were (3.6±2.3) cm³, (123.4±18.2) min and (13.8±1.8) weeks, while in feneplast group were (4.8±1.8) cm³, (135.5±22.5) min and (15.2±2.0) weeks, respectively;the difference between two groups was statistically significant (P<0.05). The collapse depth of lateral platform articular surface at 2 days and 6 months after surgery were (0.8±0.1) and (0.9±0.1) mm in fracture line group, which were lower than those in fenestration group (0.9±0.1) and (1.1±0.1) mm, respectively (P<0.05). After 2 days and 6 months, , PSA in fracture line group were (9.4±1.5) ° and (10.1±1.9) °, respectively, which were lower than those in fenestration group (10.5±1.5) ° and (11.3±1.9) ° (P<0.05). Rasmussen anatomical scores in fracture line group at 2 days and 6 months were 16(16, 18) and 16(14, 16) points, respectively, which were better than those in fenestrated group (16, 16) and 14(14, 16) points (P< 0.05). The collapse depth, PSA and Rasmussen anatomical score between two groups were better than those before surgery (P<0.05). There was no significant difference in HSS score between two groups at 2 days after surgery (P>0.05). At six months after surgery, HSS score in fracture line group (86.7±3.6) was higher than that in fenestration group (84.1±3.91) (P<0.05). HSS score at 6 months after surgery was better than that at 2 days after surgery (P<0.05). CONCLUSION Both anterior tibial plateau fracture line and anterior tibial fenestration could be used to treat anterolateral tibial plateau column fracture with posterior lateral column collapse. Compared with fenestration group, transfracture line group had advantages of less intraoperative bone grafting, shorter operative time, shorter fracture healing time, better articular surface reduction effect and better knee functional recovery.
Humans ; Male ; Female ; Middle Aged ; Tibial Fractures/physiopathology* ; Adult ; Fracture Fixation, Internal/methods* ; Aged ; Retrospective Studies ; Tibia/injuries* ; Tibial Plateau Fractures

AIM To study the chemical constituents from the leaves of Drynaria fortunei(Kunze)J.Sm.and their antioxidant activity.METHODS ODS-AG-HG,Sephadex LH-20 and semi-preparative HPLC were used for separation and purification,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The antioxidant activity was determined by DPPH mothod.RESULTS Fifteen compounds were isolated and identified as kaempferol-3-O-neohesperidoside(1),dihydrodehydrodiconiferyl alcohol(2),kaempferol-3,7-di-O-α-L-rahmnoside(3),astragalin(4),loliolid(5),trichothecene analogue(6),2,2-[bis-4-(2,3-dihydroxypropoxy)phenyl]propane(7),maculatin(8),trichothecin(9),4-[(Z)-but-2-enoyloxy]-8-chloro-12-hydroxy-7,13-epoxytrichothec-9-ene(10),8-deoxy-trichotecin(11),β-sitosterol(12),daucosterol(13),afzelin(14),samwinol(15).The IC50 values of the leaf and rhizome extracts against DPPH free radicals were(0.072±0.005),(0.287±0.012)mg/mL,respectively.CONCLUSION Compounds 1,2,5-11,15 are isolated from this plant for the first time.The leaves of D.fortunei exhibit strong antioxidant activity.

Ketamine,an antagonist of the glutamate N-methyl-D-aspartate(NMDA)receptor,is cur-rently one of the most widely abused psychoactive substances.Prolonged abuse can result in damages to various systems in the body,making it crucial to investigate the regulatory mechanism of ketamine addic-tion and screening related biomarkers.In this study,zebrafish embryos/larvae were initially exposed a-cutely to ketamine.Then,a ketamine addiction model was established in 6-month-old zebrafish through conditioned place preference(CPP)experiments.The zebrafish brain transcriptome was analyzed using RNA-seq,while qPCR and Western blotting were employed to detect the expression of key genes.Results revealed significant reductions in the spontaneous tail coiling,embryo hatching rate,and survival rate of zebrafish embryos in the ketamine-treated group compared to the control group.The distance moved also decreased significantly,from 1904.2 mm in the control group to 319.0 mm in the high dose of ketamine group(300 μmol/L).Conditional positional preference experiments demonstrated that the control ze-brafish did not exhibit significant changes in activity in the CPP tank.In contrast,the ketamine-treated group increased their activity time in the light zone of the tank from 385.2 s before training to 706.4 s af-ter training,representing a 26.8％increase(***P＜0.001).This suggests a preference for ketamine stimulation in zebrafish.KEGG analysis indicated enrichment of differentially expressed genes in the neu-roactive ligand-receptor interaction pathway in the ketamine-treated samples.GSEA analysis further re-veals a significant upregulation of the glutamatergic synapse pathway(NES=1.5).In addition,compared with the control group,the mRNA levels of Grin2b and Gria2 in the ketamine group increased by 4.6 and 1.4 times,respectively,while the protein levels increased by 2.0 and 1.4 times,respectively.These findings suggest that ketamine can induce addiction in zebrafish,potentially through upregulation of the glutamatergic synaptic pathway.

Serine/arginine-rich splicing factor 6 (SRSF6) is a member of the serine and arginine-rich (SR) protein family,and it plays a crucial regulatory role in RNA splicing.Dysregulation of SRSF6 ex-pression or function can lead to aberrant alternative splicing of certain genes,and contribute to the devel-opment and progression of inflammatory diseases,including tumors,diabetes,and pleural fibrosis.How-ever,the role of SRSF6 in inflammation remains unclear.In this study,we found that the expression of inflammatory factors,including tumor necrosis factor-α(TNF-α) and cyclooxygenase-2 (COX-2),was induced by lipopolysaccharides (LPS) .Concurrently,both the levels of SRSF6 mRNA and protein ex-pression significantly increased with prolonged LPS stimulation (P<0.05) .Furthermore,we investigated the change of SRSF6 expression on the expression of inflammatory factors.The results showed that upreg-ulation of SRSF6 enhanced the expression of LPS-induced inflammatory factors (P<0.05),while down-regulation of SRSF6 inhibited their expression (P<0.05) .Additionally,the activation of the nuclear fac-tor-κB (NF-κB) and mitogen-activated protein kinase (MAPK) signaling pathways was suppressed by SRSF6 knockdown (P<0.05),indicating that SRSF6 is involved in regulating inflammatory responses in macrophages.Myeloid differentiation factor 88 (MyD88) is a key adaptor protein in the TLR4 signaling pathway,with its splicing isoforms MyD88-L and MyD88-S exerting pro-inflammatory and anti-inflamma-tory effects,respectively.Analysis of RNA-binding protein database and RNA immunoprecipitation showed that SRSF6 binds to MyD88 mRNA.Splicing analysis indicated that downregulation of SRSF6 promoted the expression of the anti-inflammatory MyD88-S mRNA isoform (P<0.01) .Moreover,knock-down of MyD88-S could rescue the expression of inflammatory factors suppressed by SRSF6 downregula-tion.These findings suggest that SRSF6 regulates MyD88 alternative splicing in macrophages,thereby af-fecting the activation of inflammatory signaling pathways and the expression of inflammatory factors.This study provides a foundation for further elucidating the role of SRSF6 in inflammatory diseases.