ObjectiveTo clarify whether METTL14 mediates the core role of acupuncture at Neiguan (PC6) in promoting myelination and improving behavior in young autistic rats through gene intervention technology. MethodsThe ASD model was established by intraperitoneal injection of valproic acid (VPA) in pregnant rats. Male offspring were intracerebroventricularly injected with adenovirus-packaged METTL14 shRNA (sh-METTL14) or its control (sh-NC) on postnatal day 1, with a model group set as well. Subsequently, the juvenile rats were divided into model group, acupuncture group, acupuncture+sh-NC group, and acupuncture+sh-METTL14 group. The acupuncture group received acupuncture at Neiguan (PC6) from postnatal day 7, once daily for 21 consecutive days. Neurobehavioral changes were evaluated by behavioral tests; METTL14 knockdown efficiency and the expression of METTL14, METTL3, and PTEN were detected by quantitative real-time PCR (qRT-PCR) and Western blot (WB); PTEN m⁶A levels were measured by RNA immunoprecipitation-qPCR (RIP-qPCR); myelin ultrastructure, expression of myelin basic protein (MBP) and neurofascin 155 (NF155), and dendritic spine density were observed using transmission electron microscopy (TEM), enzyme-linked immunosorbent assay (ELISA), immunofluorescence, qRT-PCR, and primary neuron culture. ResultsBehaviorally, knockdown of METTL14 significantly counteracted the beneficial effects of acupuncture in improving self-grooming, open field exploration, three-chamber social interaction, and Morris water maze learning and memory (P<0.05, P<0.01). Compared with the acupuncture+sh-NC group, the acupuncture+sh-METTL14 group showed significantly decreased mRNA and protein expression of hippocampal METTL14 (P<0.01), and the upregulating effects of acupuncture on METTL3 and PTEN expression were reversed (P<0.01). Meanwhile, knockdown of METTL14 significantly inhibited the acupuncture-induced increase in PTEN m⁶A levels (P<0.01). Morphologically, knockdown of METTL14 attenuated the improvement of myelin structure by acupuncture, reversed the downregulation of MBP and upregulation of NF155 induced by acupuncture, and blocked the increase in dendritic spine density (P<0.05, P<0.01). ConclusionMETTL14 is a key molecule mediating the therapeutic effect of acupuncture at Neiguan. Acupuncture at Neiguan upregulates METTL14, thereby enhancing m⁶A methylation modification of PTEN mRNA to stabilize its expression, ultimately promoting myelin development and improving behavioral symptoms in ASD juvenile rats. This preliminarily reveals the modern biological connotation of “opening Xuanfu and dredging myelin”.

ObjectiveTo clarify whether METTL14 mediates the core role of acupuncture at Neiguan (PC6) in promoting myelination and improving behavior in young autistic rats through gene intervention technology. MethodsThe ASD model was established by intraperitoneal injection of valproic acid (VPA) in pregnant rats. Male offspring were intracerebroventricularly injected with adenovirus-packaged METTL14 shRNA (sh-METTL14) or its control (sh-NC) on postnatal day 1, with a model group set as well. Subsequently, the juvenile rats were divided into model group, acupuncture group, acupuncture+sh-NC group, and acupuncture+sh-METTL14 group. The acupuncture group received acupuncture at Neiguan (PC6) from postnatal day 7, once daily for 21 consecutive days. Neurobehavioral changes were evaluated by behavioral tests; METTL14 knockdown efficiency and the expression of METTL14, METTL3, and PTEN were detected by quantitative real-time PCR (qRT-PCR) and Western blot (WB); PTEN m⁶A levels were measured by RNA immunoprecipitation-qPCR (RIP-qPCR); myelin ultrastructure, expression of myelin basic protein (MBP) and neurofascin 155 (NF155), and dendritic spine density were observed using transmission electron microscopy (TEM), enzyme-linked immunosorbent assay (ELISA), immunofluorescence, qRT-PCR, and primary neuron culture. ResultsBehaviorally, knockdown of METTL14 significantly counteracted the beneficial effects of acupuncture in improving self-grooming, open field exploration, three-chamber social interaction, and Morris water maze learning and memory (P<0.05, P<0.01). Compared with the acupuncture+sh-NC group, the acupuncture+sh-METTL14 group showed significantly decreased mRNA and protein expression of hippocampal METTL14 (P<0.01), and the upregulating effects of acupuncture on METTL3 and PTEN expression were reversed (P<0.01). Meanwhile, knockdown of METTL14 significantly inhibited the acupuncture-induced increase in PTEN m⁶A levels (P<0.01). Morphologically, knockdown of METTL14 attenuated the improvement of myelin structure by acupuncture, reversed the downregulation of MBP and upregulation of NF155 induced by acupuncture, and blocked the increase in dendritic spine density (P<0.05, P<0.01). ConclusionMETTL14 is a key molecule mediating the therapeutic effect of acupuncture at Neiguan. Acupuncture at Neiguan upregulates METTL14, thereby enhancing m⁶A methylation modification of PTEN mRNA to stabilize its expression, ultimately promoting myelin development and improving behavioral symptoms in ASD juvenile rats. This preliminarily reveals the modern biological connotation of “opening Xuanfu and dredging myelin”.

OBJECTIVE To systematically evaluate the influencing factors affecting the poor prognosis of drug-induced liver injury （DILI） in the Chinese population， and to provide evidence-based support for early identification and interventions of DILI. METHODS Retrieved from PubMed， Medline， Embase， the Cochrane Library， CNKI， Wanfang database， China biomedical medicine database （CBM） and VIP， clinical studies （case-control studies， cohort studies） related to influencing factors for poor prognosis of DILI were collected from inception to May 31， 2025. After literature screening， data extraction and quality evaluation of included studies， meta-analysis was carried out by using RevMan 5.4 software. RESULTS A total of 17 literature were included， involving 4 078 DILI patients， of whom 673 were in the poor prognosis group and 3 405 were in the favorable prognosis group. Meta-analysis showed that history of liver disease （OR＝2.47， 95%CI was 1.61-3.78， P ＜0.001）， alcohol drinking history （OR＝1.77， 95%CI was 1.22-2.56， P ＝0.003）， Chinese herbal medicine/Chinese patent medicine （OR＝1.87， 95%CI was 1.30-2.70， P ＜0.001）， non-hepatocellular injury type （OR＝1.70， 95%CI was 1.37-2.10， P ＜0.001）， international normalized ratio （INR） elevated （OR＝2.51， 95%CI was 1.97-3.19， P ＜0.001）， and alanine transamine （ALT） elevated （OR＝1.27， 95%CI was 1.14-1.41， P ＜0.001） were risk factors of poor prognosis in DILI. Higher albumin （ALB） level （OR＝0.47， 95%CI was 0.39-0.57， P ＜0.001）， elevated prothrombin activity （PTA） （OR＝0.88， 95%CI was 0.85-0.91， P ＜0.001） and more than 2 kinds of hepatoprotective drugs （OR＝0.62， 95%CI was 0.41-0.95， P ＝0.030） were protective factors for poor prognosis of DILI. CONCLUSIONS Patients with alcohol drinking history， history of liver disease， elevated INR， elevated ALT， taking Chinese herbal medicine/Chinese patent medicine， and non-hepatocellular injury type of DILI have a greater risk of poor prognosis， and higher ALB level， higher PTA and more than 2 kinds of hepatoprotective drugs can reduce the risk of poor prognosis of DILI.

ObjectiveTo investigate the intervention effect of modified Xiangsha Liujunzitang （M-XSLJZ） on insulin resistance-regulated fatty acid synthesis via Lon protease 1 （Lonp1） in the liver of spleen-deficiency hyperlipidemia rats. MethodsA total of 70 male SD rats were randomly allocated into seven groups （n=10）： blank control group， high-fat diet （HFD） group， spleen-deficiency hyperlipidemia （PX-HFD） model group， low-， medium-， and high-dose Modified Xiangsha Liujunzitang （JW-L， JW-M， JW-H）， and rosuvastatin group. The spleen-deficiency model was induced in the PX-HFD， JW-L， JW-M， JW-H， and rosuvastatin groups by irregular diet combined with exhaustive swimming. Except for the control group， all groups were fed an HFD for 10 weeks to establish a hyperlipidemia rat model. Following modeling， the rats in the JW-L， JW-M， and JW-H groups received the decoction by gavage at 3.51， 7.02， 14.04 g·kg^-1， respectively， while the rosuvastatin group received 9×10^-4 g·kg^-1. After 8 weeks of administration， samples were collected. D-xylose excretion rate was quantified using the phloroglucinol method. Serum levels of total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein cholesterol （HDL-C）， and low-density lipoprotein cholesterol （LDL-C） were measured by an automatic biochemical analyzer. Hepatic TG content was quantified by the glycerol phosphate oxidase-peroxidase anti-peroxidase （GPO-PAP） method. Serum insulin （INS）， fasting blood glucose （FBG）， hepatic reactive oxygen species （ROS） levels， and mitochondrial complex Ⅰ activity were assessed by enzyme-linked immunosorbent assay （ELISA）. The mRNA levels of Lonp1， and acetyl-CoA carboxylase 1 （ACC1） were determined by real-time quantitative PCR （Real-time PCR）. Protein expression levels of Lonp1， c-Jun N-terminal kinase （JNK）， phosphorylated （p）-JNK， insulin receptor substrate 1 （IRS1）， p-IRS1， and ACC1 in liver tissues were analyzed by Western blot. ResultsCompared with the control group， the HFD group showed a significant increase in body weight （P<0.01）. The PX-HFD group showed a significant decrease in D-xylose excretion rate （P<0.01）. Both the HFD and PX-HFD groups exhibited significantly elevated serum levels of TC， TG， HDL-C， LDL-C， FBG， INS， and HOMA-IR （P<0.01）， along with increased orange-red lipid droplets， prominent fatty vacuoles， and significantly elevated hepatic TG level （P<0.01）. Mitochondrial complex Ⅰ activity significantly decreased （P<0.05）， while ROS level， Lonp1 mRNA and protein expression， and ACC1 mRNA and protein expression significantly increased （P<0.05， P<0.01）. The p-IRS1/IRS1 protein expression ratio significantly decreased （P<0.01）， whereas the p-JNK/JNK protein expression ratio significantly increased （P<0.01）. Compared with the HFD group， the PX-HFD group showed significantly reduced D-xylose excretion rate and serum HDL-C level （P<0.01）， significantly decreased hepatic TG level （P<0.05）， and significantly increased HOMA‑IR index （P<0.01）. Hepatic Lonp1 mRNA and protein expression significantly decreased （P<0.05， P<0.01）， p‑IRS1/IRS1 protein expression ratio was significantly decreased （P<0.01）， while ACC1 mRNA and protein expression and p‑JNK/JNK protein expression ratio were significantly increased （P<0.01）. Compared with the PX-HFD group， all treatment groups showed significantly reduced serum TC， TG， LDL-C levels， and HOMA-IR index （P<0.05， P<0.01）， with ameliorated orange‑red lipid droplet deposition and significantly reduced hepatic TG and ROS levels （P<0.05， P<0.01）. The JW-M， JW-H， and rosuvastatin groups exhibited significantly decreased body weight （P<0.05， P<0.01）， significantly increased D‑xylose excretion rate （P<0.01）， significantly decreased HDL‑C level （P<0.05， P<0.01）， significantly increased mitochondrial complex I activity， Lonp1 mRNA and protein expression， and p-IRS1/IRS1 protein expression ratio （P<0.05， P<0.01）， as well as significantly decreased p-JNK/JNK protein expression ratio （P<0.01）. ConclusionM-XSLJZ may exert its lipid‑lowering effect by regulating Lonp1 expression in rat liver， thereby improving insulin resistance and subsequently inhibiting hepatic lipid synthesis.

With the rapid development of computer vision technology, deep learning models have demonstrated new research area and potential value in intelligent microbiological detection. By utilizing multilayer neural networks and large amounts of training data, these models are capable of automated extraction and analysis for complex features, thereby improving the efficiency and accuracy of detection. This paper introduces the research background of deep learning in microbiological image detection, and elaborates on the methods for constructing microbiological image datasets, including data collection, preprocessing, annotation, and partitioning, and introduces typical deep learning models as well as their application examples in various microbiological detection. Deep learning in microbiological image analysis faces numerous challenges which needs further development.

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.

Objective To analyze the characteristics of methadone-related poisoning cases and provide a reference for forensic identification.Methods A total of 71 cases of methadone-related poisoning re-ported from 1998 to 2023 in China and 26 cases of methadone-related deaths reported from 2013 to 2018 in Italy were retrieved from databases including PubMed,Wanfang and CNKI.The general infor-mation,forensic pathological and toxicological characteristics were analyzed.Results Among the 71 methadone-related poisoning cases in China,there were 54 cases(76.06%)of poisoning without death and 17 cases(23.94%)of death from poisoning.There were 54 male cases(76.06%),and 51 cases(71.83%)aged 19 to 39 years old.There were 35 cases(49.30%)of poisoning caused by methadone alone,and 32 cases(45.07%)were poisoning caused by methadone combined with other substances or drugs including heroin and benzodiazepines.Most of the poisoned showed coma,respiratory depres-sion and miosis.Signs of asphyxia were often found by autopsy.The mass concentration of methadone detected in the blood of 6 deceased ranged from 0.112 to 3.000 mg/L.Among the 26 methadone-related deaths in Italy,22 cases were male(84.62%).There were 6 cases(23.08%)caused by methadone alone,and 20 cases(76.92%)died from methadone combined with other substances or drugs.The mass concentration of methadone in blood ranged from 0.181 to 4.059 mg/L.Conclusion The propor-tions of poisoning cases caused by methadone alone and methadone combined with other substances or drugs are comparable in China.The majority of deceased caused by methadone poisoning shows typi-cal triad of coma,respiratory depression and miosis,which helps forensic experts determine the cause of death related to methadone.Additionally,it is necessary to increase the routine testing of the con-centration of methadone and its combined substances or drugs in deceased,and collect data for the in-terpretation of the results of related cases.

Andrographolide sulfonate (AS) is a sulfonated derivative of andrographolide extracted from Andrographis paniculata (Burm.f.) Nees, and has been approved for several decades in China. The present study aimed to investigate the novel therapeutic application and possible mechanisms of AS in the treatment of rheumatoid arthritis. Results indicated that administration of AS by injection or gavage significantly reduced the paw swelling, improved body weights, and attenuated pathological changes in joints of rats with adjuvant-induced arthritis. Additionally, the levels of tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and IL-1β in the serum and ankle joints were reduced. Bioinformatics analysis, along with the spleen index and measurements of IL-17 and IL-10 levels, suggested a potential relationship between AS and Th17 cells under arthritic conditions. In vitro, AS was shown to block Th17 cell differentiation, as evidenced by the reduced percentages of CD4⁺ IL-17A⁺ T cells and decreased expression levels of RORγt, IL-17A, IL-17F, IL-21, and IL-22, without affecting the cell viability and apoptosis. This effect was attributed to the limited glycolysis, as indicated by metabolomics analysis, reduced glucose uptake, and pH measurements. Further investigation revealed that AS might bind to hexokinase2 (HK2) to down-regulate the protein levels of HK2 but not glyceraldehyde-3-phosphate dehydrogenase (GAPDH) or pyruvate kinase M2 (PKM2), and overexpression of HK2 reversed the inhibition of AS on Th17 cell differentiation. Furthermore, AS impaired the activation of phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signals in vivo and in vitro, which was abolished by the addition of lactate. In conclusion, AS significantly improved adjuvant-induced arthritis (AIA) in rats by inhibiting glycolysis-mediated activation of PI3K/AKT to restrain Th17 cell differentiation.
Animals ; Th17 Cells/immunology* ; Diterpenes/pharmacology* ; Arthritis, Rheumatoid/metabolism* ; Proto-Oncogene Proteins c-akt/immunology* ; Glycolysis/drug effects* ; Cell Differentiation/drug effects* ; Phosphatidylinositol 3-Kinases/genetics* ; Rats ; Male ; Rats, Sprague-Dawley ; Humans ; Andrographis paniculata/chemistry* ; Arthritis, Experimental/drug therapy* ; Interleukin-17/immunology* ; Signal Transduction/drug effects*

Objective:To investigate the differences between high-frequency ultrasound-guided manual detorsion combined with surgery(MD+S)and surgery alone in the treatment of testicular torsion,and to provide some new evidence for the timely diagno-sis and treatment of the disease.Methods:We retrospectively analyzed the clinical data on 134 cases of unilateral testicular torsion within 48 hours treated in our hospital by MD+S or by surgery alone from January 2015 to May 2022.We statistically analyzed the age distribution,and duration and degrees of testicular torsion,followed by comparison between the two groups.Results:In the 134 ca-ses,the median age of onset was 15(13-19)years old,the median onset-to-visit time was 15(8-25)hours,and the median de-gree of torsion was 360°(180°-1080°).Of the total number of patients,21 underwent testicular excision and the other 113 were treated with the testis preserved,with no statistically significant difference in age distribution between the two groups(P＞0.05),and a higher rate of testis resection in those with longer duration and greater angle of torsion(P＜0.05).Totally,33 of the patients were assigned to the MD+S group and 101 to the surgery alone group.According to the actual clinical conditions and excluding those with torsion time longer than 24 hours and torsion angle greater than 720 °,28 of the patients underwent ultrasound-guided MD+S(with 1 case of testis resection,3.6％),and 68 received surgery alone(with 7 cases of testis resection,10.3％).The rate of testis resection was higher in the surgery alone than that in the MD+S group,but with no statistically significant difference between the two groups(P＞0.05),which was considered to be related to the small sample size in this study.Conclusion:The popularization of testicular torsion knowledge can shorten the onset-to-visit time,and reasonable manual detorsion before emergency surgery can reduce the rate of testis resection.

With the rapid development of computer vision technology, deep learning models have demonstrated new research area and potential value in intelligent microbiological detection. By utilizing multilayer neural networks and large amounts of training data, these models are capable of automated extraction and analysis for complex features, thereby improving the efficiency and accuracy of detection. This paper introduces the research background of deep learning in microbiological image detection, and elaborates on the methods for constructing microbiological image datasets, including data collection, preprocessing, annotation, and partitioning, and introduces typical deep learning models as well as their application examples in various microbiological detection. Deep learning in microbiological image analysis faces numerous challenges which needs further development.