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”.

ObjectiveTo investigate the efficacy and safety of Shuganning injection in the treatment of liver injury by observing the clinical outcome of patients with liver injury after treatment with Shuganning injection and comparing it with reduced glutathione （GSH）. MethodsThis study was conducted among 175 patients with liver injury who attended 6 hospitals in China （Beijing YouAn Hospital， Capital Medical University； Nanyang First People’s Hospital； The Second Affiliated Hospital of Xi’an Jiaotong University； The Fifth Medical Center of Chinese PLA General Hospital； The Third Hospital of Hebei Medical University； The Affiliated Hospital of Guizhou Medical University） from April 25， 2019 to February 28， 2022. The patients were divided into experimental group （89 patients treated with Shuganning injection） and control group （86 patients treated with GSH）， and the course of treatment was 4 weeks for both groups. Related indicators were recorded before treatment， after treatment， and after drug withdrawal for 8 weeks， including liver function parameters， blood biochemical parameters， blood lipids， coagulation profiles， liver fibrosis markers， traditional Chinese medicine （TCM） syndrome score， and ultrasound findings， as well as adverse events during treatment. The Wilcoxon rank-sum test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The Wilcoxon signed-rank test was used for comparison of observation indicators before treatment， at week 4 of treatment， and after drug withdrawal for 8 weeks. When the efficacy evaluation of TCM syndromes was used as the outcome， a pooled analysis was performed for the effective cases and the markedly effective cases， and a Logistic regression model was used to calculate the odds ratio （OR） and its 95%CI. ResultsAfter 4 weeks of treatment with Shuganning injection， the patients showed significant reductions in TCM syndrome score （P<0.001） and the levels of aspartate aminotransferase， alanine aminotransferase， total bilirubin， and direct bilirubin （all P<0.001） and a significant increase in the level of albumin （P=0.002）， and these significant improvements persisted after drug withdrawal for 8 weeks. Furthermore， compared with the control group， the experimental group had a significantly higher proportion of patients assessed as effective or markedly effective cases （48.31% vs 32.56%， P=0.033）. Compared with the control group， the experimental group had a significantly greater change in TCM syndrome score at weeks 1-4 of treatment and after drug withdrawal for 8 weeks （P<0.05）. At week 4 of treatment， the experimental group had a significantly greater reduction in alanine aminotransferase than the control group （P<0.05）， and at week 8 after drug withdrawal， the experimental group had a significantly greater reduction in alanine aminotransferase and aspartate aminotransferase than the control group （all P<0.05）. One patient in the experimental group （1.12%） experienced an adverse event， which was determined to be associated with the progression of viral hepatitis. ConclusionShuganning injection can effectively improve liver injury， with good long-term efficacy and a low incidence rate of adverse reactions.

Objective To analyze the changes of early ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET-CT) metabolic parameters in patients with diffuse large B-cell lymphoma (DLBCL) before and after chemotherapy, and to systematically evaluate the early predictive efficacy of the above prarmeters for residual lesions. Methods Eighty patients with DLBCL admitted to our hospital from January 2021 to January 2025 were randomly selected as study subjects. All patients received ¹⁸F-FDG PET-CT examination. After 3 months of chemotherapy, patients were assessed according to the Lugano 2014 criteria. Patients without residual lesions were assigned to the complete remission group, while those with residual lesions were assigned to the residual lesion group. Clinical data and ¹⁸F-FDG PET-CT parameters were compared between the two groups. A logistic regression model was used to analyze the relationship between ¹⁸F-FDG PET-CT parameters and residual tumor lesions in DLBCL patients after chemotherapy. The receiver operating characteristic curve was used to analyze the predictive value of early ¹⁸F-FDG PET-CT parameters for residual tumor lesions in patients with DLBCL after chemotherapy. Results Compared with the complete remission group, the residual lesion group had a significantly higher proportion of patients with an international prognostic index score>3, as well as significantly higher maximum standardized uptake value (SUV_max), metabolic tumor volume (MTV), and total lesion glycolysis（TLG）. The early percentage change in the maximum standardized uptake value (ΔSUV_max%) was significantly lower in the residual lesion group (P<0.05). There were no significant differences in age, sex, Ann Arbor stage, serum lactate dehydrogenase elevation, Eastern Cooperative Oncology Group performance status score ≥2, and molecular subtype between the two groups (P>0.05). Logistic regression analysis showed that an international prognostic index score >3 and a high MTV were independent risk factors for residual tumor lesions in DLBCL patients after chemotherapy, while a high ΔSUVmax% was a protective factor (P<0.05). Receiver operating characteristic curve analysis showed that the area under the curve for ΔSUV_max% and MTV alone in predicting residual tumor lesions after chemotherapy for DLBCL was 0.918 (95%CI=0.848-0.989) and 0.926 (95%CI=0.866-0.985), with cutoff values of 75.16% and 13.58 cm³, respectively. The combined prediction using both parameters yielded an area under the curve of 0.960 (95%CI=0.891-0.991), with a sensitivity of 91.38% and a specificity of 95.45%. Conclusion The early ¹⁸F-FDG PET-CT parameters ΔSUV_max% and MTV demonstrate high predictive value for residual tumor lesions in DLBCL patients after chemotherapy. Their combined use has improved predictive efficacy, which can provide a reference for clinical evaluation of chemotherapy efficacy in DLBCL.

Knee osteoarthritis(KOA)is a chronic degenerative joint disease,which poses a major challenge particularly among the elderly population due to its high incidence and high disability.Imaging examination has been used commonly to diagnose KOA.However,it faces imitations in predicting disease progression due to the lack of prior information and constraints in manpower and time.With the rapid evolution of big data and computational technologies,artificial intelligence(AI)is progressively integrating into various healthcare domains.Therefore,the integration of artificial intelligence(AI)into healthcare holds promise for revolutionizing KOA diagnosis and treatment.AI-assisted diagnostic models have demonstrated the potential to automate diagnosis,classify disease severity,and predict disease progression with improved efficiency and accuracy.In addition,these models provide personalized diagnosis and treatment options,as well as accurate disease progression risk assessment.Despite these promising outcomes,challenges such as high costs associated with data annotation and limitations in model generalization capabilities persist.This paper reviews recent advancements in AI applications and summarizes the potential value of utilizing AI applications for KOA.To further enhance the utilization of AI in KOA management to overcome current limitations,future efforts should focus on standardizing clinical sample databases,optimizing AI algorithms,and enhancing external verification sets.

Objective To investigate the association of digit ratio with single nucleotide polymorphism(SNP)at three loci(rs17576,rs3918249,rs9509)of matrix metallopeptidase 9(MMP-9)gene.Methods A total of 804 Ningxia Han youths(399 males and 405 females)were used as the study subjects.A digital camera was used to take frontal photographs of the hands,and image analysis software was used to mark the anatomical points and measure the lengths of each finger of both hands(2D,3D,4D,5D);Multiplexed PCR was used to detect the three polymorphic sites of the MMP-9 gene,SPSS 25.0 and R Studio software were used for data analysis and plotting.Results The 2D/3D(P＜0.05)and 2D/4D(left,P＜0.01,right,P＜0.05)of both hands,2D/5D(P＜0.01),3D/5D,4D/5D(P＜0.05)of the right hand,and 3D/4D(P＜0.05)of the left hand in female youths of Ningxia Han were significantly higher than those in males,Differences in genotypes and allele frequencies at all 3 loci of the MMP-9 gene were not statistically significant between genders(P＞0.05).Right hand 2D/4D was significantly associated with genotypes at the rs17576 and rs3918249 loci in male youths(P＜0.05).Conclusion MMP-9 gene SNPs(rs17576 and rs3918249)may be associated with the formation of 2D/4D of Ningxia Han male youths.

Objective To investigate influencing factors for failed cardiopulmonary resuscitation(CPR)in patients with respiratory and cardiac arrest.Methods A retrospective analysis was con-ducted on the clinical data of 204 patients with respiratory and cardiac arrest.All patients underwent CPR treatment and were divided into success group and failure group based on the CPR outcome.A matched case-control study based on matching design was carried out.The success and failure groups were matched at a ratio of 1 to 2 using gender,age,body mass index(BMI),and the presence or absence of hypertension,hyperlipidemia,and diabetes as covariates.Logistic regression analysis was employed to explore the influencing factors for failed CPR in patients with respiratory and cardiac ar-rest.Results Among the 204 patients,65(31.86％)had successful CPR and were included in success group,while 139(68.14％)had failed CPR and were included in failure group.After a rati-o of 1 to 2 matching design,62 patients in the success group and 124 patients in the failure group were finally included in the study.Multivariate logistic regression analysis revealed that cardiovascular disease as the cause of respiratory and cardiac arrest,CPR performed outside the hospital,a long time interval from the onset of the condition to the initiation of CPR,and a large dose of epinephrine were independent risk factors for failed CPR(P＜0.05).In contrast,the combined use of a bag-mask de-vice and endotracheal intubation during respiratory and cardiac arrest,a prolonged duration of CPR,and electrical defibrillation were independent protective factors for successful CPR(P＜0.05).Con-clusion Cardiovascular disease,out-of-hospital CPR,a long time interval from the onset of the condi-tion to the initiation of CPR,and a large dose of epinephrine are risk factors for failed CPR in patients with respiratory and cardiac arrest.The combined use of a bag-mask device and endotracheal intubation during respiratory and cardiac arrest,prolonging the duration of CPR,and electrical defibrillation are protective factors for successful CPR.The matched case-control study method based on a matc-hing design can reduce the interference of confounding factors,ensure the reliability of the results,and provide a reliable basis for the formulation of CPR intervention protocols.

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

The applications of nuclear technology in industries, medicine, and other fields have increased the risk of radiation injury. Although some small-molecule drugs for radiation injury treatment have been applied clinically or are in preclinical research, their therapeutic efficacy is significantly limited by short circulation time and rapid metabolism. Nanomaterials have attracted growing attention with their outstanding bioactivity, chemical stability, tissue compatibility, and targeted delivery capabilities, therefore having the promise of offering the potential solutions to the limitations of current small-molecule drugs. However, their biosafety and clinical efficacy require further investigation. This review summarizes the design strategies and classifications of nanomaterials for radiation injury treatment, analyzes current research progress in their therapeutic applications, and introduces nanomaterial-based approaches for enhancing the elimination of internal radionuclide contamination. Finally, the challenges and future prospects of nanomaterials in radiation injury treatment are discussed. This review aims to provide researchers with a comprehensive understanding of recent advances in nanomaterial-based radiation injury therapeutics, thereby promoting further development in this field.

Objective To study the age-dependent relationship between body mass index(BMI)and cognitive impairment in rural population aged 40 years and above.Methods From October 2014 to March 2015,people aged 40 years and above,who lived in two natural villages in Huyi District of Xi'an,were selected as the research subjects.Their general demographic information,lifestyle,medical history,family history,physical examination,and biochemical examination were collected.Mini-Mental State Examination(MMSE)was used to evaluate global cognitive function.Cognitive impairment was defined as an MMSE score lower than the cutoff value,specifically,scores ≤17 for subjects who were illiterate,scores ≤20 for subjects with primary school education,and scores ≤24 for subjects with junior high school education or above.The age-dependent relationship between BMI and cognitive impairment was discussed using stratified analysis,restricted cubic spline(RCS),and multivariate Logistic regression.Results We included a total of 1 792 subjects in the analysis,of whom 230(12.8％)were diagnosed with cognitive impairment.There were 726 males(40.5％);the average age was(55.53±9.92)years,ranging from 40 to 85 years,1 193 subjects aged 40-59 years(66.6％),and 599 subjects aged ≥60 years(33.4％).The average BMI was(25.29±3.14)kg/m2.In the total population,BMI index was fitted as restricted cubic splines in the Logistic regression model,and other confounding factors were corrected.The results showed that BMI index was significantly correlated with cognitive impairment(Poverall=0.023),and there was a trend of nonlinear relationship(P nonlinear=0.097).The specific relationship was that with BMI=25 kg/m2 as the reference(OR=1),when BMI index was＜25 kg/m2,the OR value increased as BMI index decreased.However,when BMI index was ≥25 kg/m2,the OR value did not change significantly as BMI index increased.The population was divided into two subgroups according to age(40-59 years vs.≥60 years).Stratified analysis showed that in the ≥60 years old subgroup,cognitive impairment had significant correlation with BMI index(Poverall=0.038,Pnonlinear=0.097),and the changing trend of the correlation was similar to that of the overall population.By contrast,in the 40-59 years old subgroup,BMI index was not significantly associated with cognitive impairment(Poverall=0.722,Pnonlinear=0.738).Conclusion The relationship between BMI and cognitive impairment is affected by age.No significant association is found in the middle-aged population of 40-59 years old,but there may be a nonlinear association in the elderly population over 60 years old.Specifically,with BMI=25 kg/m2 as the boundary,as BMI decreases,the risk of cognitive impairment gradually increases.As BMI further increases,the risk of cognitive impairment does not change significantly even though it reaches the obesity level.