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 explore the clinical diagnostic value of high-frequency ultrasound and color Doppler ultrasound in detecting vibration-induced nerve and vascular injuries in patients with occupational hand-arm vibration disease (HAVD). Methods A total of 32 patients with mild occupational HAVD were enrolled as the case group, and 32 healthy volunteers were selected as the control group by the purposive sampling method. High-frequency ultrasound was used to observe the location, morphology, course and echogenic characteristics of the median nerve of the participants in both groups. The cross-sectional area (CSA) of the median nerve at the carpal tunnel inlet was measured. Color Doppler ultrasound was applied to observe the course of the proper palmar digital artery of the index finger, and hemodynamic parameters including peak systolic velocity (PSV), end-diastolic velocity (EDV) and resistive index (RI) were evaluated. Results In the case group, the transverse section of the median nerve among participants appeared flattened, the "honeycomb-like" structure was mildly blurred, epineurial echogenicity was slightly increased, and the margins of hyperechoic fascicles on longitudinal sections were indistinct. The CSA of the median nerve at the pisiform level and the palmar digital RI of the index finger were increased among the participants in the case group compared with the control group (both P<0.01), while PSV and EDV of the proper palmar digital artery of the index finger were decreased (both P<0.01). Conclusion High-frequency ultrasound and color Doppler ultrasound can detect morphological changes in the median nerve and hemodynamic alterations in finger vessels among patients with mild occupational HAVD, objectively reflecting neurovascular injury caused by hand-transmitted vibration and providing scientific and objective imaging evidence for the clinical diagnosis of occupational HAVD.

Rodent models play a crucial role in research on human periodontal diseases,providing key evidence for investigation into the pathological mechanisms of periodontal bone defects.Relevant research in the field involves gene expression,inflammatory regulation mechanisms,host-microbial interactions,as well as disease resolution and healing processes.Research methodology in the field falls under 2 categories-periodontal inflammation models and surgical defect models.The former simulates periodontal defects by inducing periodontal diseases,while the latter constructs clinically simulated periodontal defects through surgical removal of periodontal tissue.However,the currently available animal models of periodontitis face challenges in simultaneously capturing the disease complexity,tracking dynamic repair processes,and meeting translational needs.Herein,we reviewed and summarized the methods and characteristics of periodontal disease modeling in recent years.We proposed the establishment of a multimodal assessment framework integrating technologies such as spatial transcriptomics,single-cell sequencing,and in vivo fluorescence imaging,which may serve as a critical pathway for overcoming existing research challenges.

Objective To analyze the relationship between different degrees of cerebral venous sinus stenosis and the trans-stenotic pressure gradient using a 3D-printed hemodynamic simulation system for cerebral venous sinuses.Methods Based on the double elastic cavity model,a complete morphological model of the superior sagittal sinus,transverse sinus,and sigmoid sinuses was constructed using 3D printing technology.An in vitro hemodynamic simulation system incorporating pulsatile blood flow was established to simulate the hemodynamic environment of cerebral venous sinus stenosis.Using this system,both unilateral dominant drainage and bilateral balanced drainage were simulated.The degree of stenosis and the pressure upstream and downstream of the stenosis were measured.The pressure difference and pressure ratio were calculated to analyze the correlation between stenosis degree and the trans-stenotic pressure gradient.Results In the unilateral dominant drainage model,as the stenosis severity increased,the upstream pressure increased,whereas the downstream pressure remained relatively stable,leading to an increased pressure gradient between the two ends.The regression equation for stenosis degree(X)and pressure gradient(pressure difference ΔP)was:YΔP=1.962X-1.417(R=0.867,R2=0.753,P<0.001).In the bilateral balanced drainage model of cerebral venous sinuses,when the stenosis degree on one side of the model increased,the pressure gradient between the two ends changed slightly and eventually reached a stable state.The regression equation between X and ΔP was:YΔP=0.62X+1.047(R=0.98,R2=0.96,P<0.001).Conclusions Stenosis in cerebral venous sinuses with unilateral dominant drainage has a more significant impact on the pressure gradient,while unilateral stenosis in bilateral cerebral venous sinuses with balanced drainage has a smaller impact on the pressure gradient.This result suggests that for bilateral venous sinus stenosis,stent implantation can be prioritized in one side of the cerebral venous sinuses.

In recent years,more and more studies have found that phase separation plays an important role in the onset and progression of cardiovascular diseases.Phase separation refers to the process in which biological macromole-cules,such as proteins and nucleic acids,spontaneously segregate into concentrated and diluted phases under certain con-ditions.This process creates distinct functional compartments within cells and is involved in various cellular biological functions.The driving forces of phase separation include multivalent interactions such as electrostatic interactions,hydro-phobic interactions,and π-π stacking.Key protein regions that promote phase separation include intrinsically disordered regions,low complexity domains,folded domains,and nucleic acid binding domains.This article reviews recent progress in understanding the role of phase separation in cardiovascular diseases,including heart failure,myocardial fibrosis,and atherosclerosis,with a particular focus on the last five years of research.Future studies should aim to elucidate the specif-ic mechanisms of phase separation in cardiovascular diseases and explore its potential as a therapeutic target.

Objective To investigate the influence of helical tomographic radiotherapy plans with different combinations of lead gate width,pitch and algorithms on threading effects.Methods A target model was established with a Cheese Phantom used as the simulated human body,then three lead gate widths(1.0,2.5,and 5.0 cm),six screw pitches(0.143,0.172,0.215,0.287,0.430,and 0.500)and two computational grids(Fine algorithm and Normal algorithm)were respectively combined for designing the helical tomography radiotherapy plans.The radiotherapy plans with a pitch of 0.143,0.172,0.215,0.287 or 0.430 were enrolled into an experimental group,and the plans with a pitch of 0.500 were divided into a control group.The dosimetric parameters including maximum dose(Dmax),minimum dose(Dmin)and mean dose(Dmean)of the target area PTV1 and PTV2 were evaluated by the dose volume histogram(DVH).The dose homogeneity index(HI)of the target area was calculated,and the single rotation time and total treatment time of each plan were recorded and counted.SPSS 27.0 software was used for statistical analysis.Results No significant threading effect appeared regardless of the pitch value when the lead gate width was 1.0 cm.The threading effects in the experimental group were weaker than those in the control group when the lead gate width was 2.5 or 5.0 cm.The threading effect gradually rose with the pitch increased when the lead gate width was 5.0 cm.The most significant difference was found between the threading effect in case of the screw pitch being 0.500 and that with the screw pitch being 0.143,with the differenes being statistically obvious(P<0.05).The lead gate width had significant effects on the Dmax,Dmin,Dmean and HI of PTV1 and PTV2.When the lead gate width was 5.0 cm,high HI value and uneven dose distribution were detected and lowered screw pitch weakened the threading effect.The single rotation time first remained constant and then increased with the screw pitch was enlarged,with the changing points occurring in case of the screw pitches of 0.287 and 0.430.With a certain lead gate width,the treatment time for plans was shortened with the decrease of the pitches in case of the pritches lower than 0.287,and tended to be constant after the screw pitches reached 0.287.The changes of the computational grid had no significant effects on the results of radiotherapy plans when the lead gate width and screw pitch were kept constant.Conclusion When designing a spiral tomotherapy plan with conventional doses,a lead gate width of 1.0 or 2.5 cm and a screw pitch of 0.287 or 0.430 should be selected in order to minimize the threading effect while ensuring the efficiency of plan implementation.[Chinese Medical Equipment Journal,2025,46(8):58-66]

Objective To understand the current status of traditional Chinese medicine(TCM)systematic reviews/Meta-analysis over the past 10 years.Methods Cochrane Database of Systematic Reviews,PubMed,Web of Knowledge,CNKI,SinoMed,WanFang Data,VIP databases,as well as the Cochrane Register and PROSPERO registration platform were searched to collect TCM-related systematic reviews/Meta-analysis published between January 2015 and December 2024.Literature was screened,and standardization of institutions,countries,and journals was performed.Data cleaning was conducted,and trends in publication years,high-frequency diseases,journals,institutions,and highly cited papers were analyzed.Results A total of 11,174 papers were included,involving approximately 56,656 authors from 1,422 institutions across 44 countries,covering 1,300 journals and 1,070 diseases.The top five institutions in terms of publications were Beijing University of Chinese Medicine(954 papers),Guangzhou University of Chinese Medicine(928 papers),China Academy of Chinese Medical Sciences(537 papers),Tianjin University of Chinese Medicine(460 papers),and Chengdu University of Chinese Medicine(393 papers).Foreign institutions with the highest publication volumes were concentrated in South Korea,Iran,and Australia.The most frequently published Chinese journal was Zhongyi Clinical Research with 332 papers,while the most published English journal was Evidence-Based Complementary and Alternative Medicine with 311 papers.There were 282 single-author papers involving 271 authors,and the most cited paper was referenced 323 times,The three most frequently studied diseases were diabetes(267 papers,2.39％),angina pectoris(214 papers,1.92％),and osteoarthritis(210 papers,1.88％).Non-pharmacological interventions such as acupuncture(1,265 papers,11.32％),auricular therapy(101 papers,0.90％),and Tai Chi(98 papers,0.88％)were most frequently reported.In pharmacological interventions,studies on Tripterygium wilfordii tablets(76 papers,0.68％)and Danhong injection(54 papers,0.48％)were more common.Conclusion The systematic reviews/Meta-analysis method is widely used in the field of TCM,and the field continues to grow.Active academic teams,institutions,and journals have emerged.Over the past decade,there has been a considerable body of evidence in Chinese systematic reviews on TCM for chronic diseases such as diabetes,angina pectoris,and osteoarthritis.In English-language studies,non-pharmacological therapies like acupuncture have been more widely reported,and some high-impact studies have emerged.However,challenges remain,such as issues with research transparency and methodological standardization.Future efforts should focus on establishing transparent systems and quality control mechanisms to further enhance the reliability,accuracy,and dissemination of TCM evidence-based research.

In the clinical stage, suspected hemolytic plasma may cause hemolysis illness, manifesting as symptoms such as heart failure, severe anemia, etc. Applying a deep learning method to plasma images significantly improves recognition accuracy, so that this paper proposes a plasma quality detection model based on improved "You Only Look Once" 5th version (YOLOv5). Then the model presented in this paper and the evaluation system ‌were introduced‌ into the plasma datasets, and ‌the average accuracy of the final classification reached 98.7%‌. The results of this paper's experiment were obtained through the combination of several key algorithm modules including‌ omni-dimensional dynamic convolution, pooling with separable kernel attention, residual bi-fusion feature pyramid network, ‌and‌ re-parameterization convolution. The method of this paper‌ obtains the feature information of spatial mapping efficiently, and enhances the average recognition accuracy of plasma quality detection. This paper presents a high-efficiency detection method for plasma images, aiming to provide a practical approach to prevent hemolysis illnesses caused by external factors.
Algorithms ; Humans ; Hemolysis ; Plasma ; Deep Learning ; Image Processing, Computer-Assisted/methods*