ObjectiveStroke poses a heavy burden due to its high mortality and morbidity rates. Accurate and real-time detection of lesions is pivotal for prompt clinical intervention and favorable prognosis. Electrical impedance tomography (EIT) and microwave tomography (MWT) have emerged as compelling alternatives for stroke screening, owing to their non-ionizing, non-invasive and portable nature. EIT provides information on tissue conductivity, and MWT offers high sensitivity to changes in dielectric properties. However, single-modality imaging is inherently limited, EIT suffers from low sensitivity to deep-seated tissues and severe ill-posedness of inverse problems, whereas MWT is challenged by strong nonlinearity in inverse scattering and susceptibility to modeling errors. Consequently, the clinical utility of standalone EIT or MWT for stroke diagnosis remains constrained by poor spatial resolution and imaging artifacts. To improve the accuracy and robustness of stroke imaging, a dual-modality fusion conditional denoising diffusion probabilistic model (DM-DDPM) was proposed for high-precision dual-modality image reconstruction. MethodsA dual-encoder network with a symmetric architecture and independently trained parameters was constructed to extract heterogeneous features separately from EIT boundary voltage measurements and MWT scattered field signals. Attentional feature fusion (AFF) is employed to integrate complementary information from the two modalities adaptively, generating robust fused priors that suppress redundant noise while preserving key physical characteristics. Subsequently, the fused priors are embedded into a Transformer-based diffusion model via a cross attention mechanism to guide the reverse denoising process. This approach effectively reduces artifacts and enhances the stability of conductivity distribution reconstruction. Time step embedding is introduced to enable the network to perceive the diffusion stage and further improve the accuracy of noise prediction. ResultsSimulated experiments demonstrated that DM-DDPM significantly outperforms single-modality and multi-modality networks under various noise levels. A head model simulation dataset was constructed based on COMSOL Multiphysics, and tests were carried out under 50 dB, 40 dB and 30 dB signal-to-noise ratio levels. At 30 dB, the average relative error (RE) was below 0.20, while the structural similarity index measure (SSIM) and correlation coefficient (CC) remained above 0.90 and 0.89, respectively. Compared with single-modality and multi-modality networks, artifacts were significantly reduced, lesion edges were clearer, and localization was more accurate. The model maintains high reconstruction quality and strong robustness for single, double, and triple lesions simultaneously. Furthermore, physical experiments were conducted using a 16-electrode EIT system and a 16-antenna MWT system with asynchronous data acquisition. These experiments confirmed the feasibility of the method in real-world scenarios and demonstrated that it can robustly reconstruct simulated lesions despite environmental interference and measurement noise, validating its reliability for practical clinical applications. ConclusionThe proposed method effectively combines complementary dual-modality information with a conditional diffusion model. Low accuracy and poor noise resistance in single-modality imaging were effectively addressed, while the noise amplification issue caused by direct multimodal data fusion was avoided. The proposed algorithm exhibits strong anti-noise interference ability and high imaging stability in both simulation and physical experiments. Precise localization of stroke lesions with different quantities was achieved, providing a high-precision, and practical technical support for clinical stroke detection.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

Based on the opening-closing-pivot theory， this paper proposes that adolescent bipolar disorder is closely associated with taiyin （太阴）， shaoyang （少阳）， and jueyin （厥阴） channels. The principal pathogenesis involves dysfunction of the opening function of taiyin， impaired pivot function of shaoyang， and failure of the closing function of jueyin. Accordingly， the therapeutic principles include regulating taiyin to restore the ascending and descending movement of qi， harmonizing shaoyang to facilitate the pivot mechanism， and balancing yin and yang to reinforce the closing and storing function of jueyin. In clinical practice， Yihuang Powder （益黄散） and Tongxie Important Formula （痛泻要方） are commonly prescribed to regulate the qi movement of taiyin and restore its ascending and transporting functions， while Xiaochaihu Decoction （小柴胡汤） and Sini Powder （四逆散） are used to regulate the shaoyang pivot， and Wumei Pill （乌梅丸）， Danggui Sini Decoction （当归四逆汤）， and Huanglian Ejiao Decoction （黄连阿胶汤） combined with Shaoyao Gancao Decoction （芍药甘草汤） are employed to harmonize the jueyin closing mechanism. In addition， traditional daoyin （导引） exercise yi jin jing （易筋经） is incorporated to simultaneously regulate the body and mind by guiding internal regulation through external movement， thereby calming the body and tranquilizing the mind.

Based on the opening-closing-pivot theory， this paper proposes that adolescent bipolar disorder is closely associated with taiyin （太阴）， shaoyang （少阳）， and jueyin （厥阴） channels. The principal pathogenesis involves dysfunction of the opening function of taiyin， impaired pivot function of shaoyang， and failure of the closing function of jueyin. Accordingly， the therapeutic principles include regulating taiyin to restore the ascending and descending movement of qi， harmonizing shaoyang to facilitate the pivot mechanism， and balancing yin and yang to reinforce the closing and storing function of jueyin. In clinical practice， Yihuang Powder （益黄散） and Tongxie Important Formula （痛泻要方） are commonly prescribed to regulate the qi movement of taiyin and restore its ascending and transporting functions， while Xiaochaihu Decoction （小柴胡汤） and Sini Powder （四逆散） are used to regulate the shaoyang pivot， and Wumei Pill （乌梅丸）， Danggui Sini Decoction （当归四逆汤）， and Huanglian Ejiao Decoction （黄连阿胶汤） combined with Shaoyao Gancao Decoction （芍药甘草汤） are employed to harmonize the jueyin closing mechanism. In addition， traditional daoyin （导引） exercise yi jin jing （易筋经） is incorporated to simultaneously regulate the body and mind by guiding internal regulation through external movement， thereby calming the body and tranquilizing the mind.

ObjectiveTo explore the possible mechanisms of Modified Shoutai Pill （寿胎丸加味方， MSP） in treating polycystic ovary syndrome （PCOS） with hyperandrogenism， insulin resistance， and miscarriage， focusing on inflammatory response and endometrial receptivity. MethodsThirty female SPF-grade SD rats with regular estrous cycles and in proestrus， and 15 male SPF-grade SD rats were housed together in a 2∶1 ratio at 18：00. At 8：00 next morning， rats showing abundant sperm and vaginal plugs were considered pregnant on the day 0.5. The 30 pregnant rats were randomly divided into three groups， normal group， model group， and MSP group， with 10 rats in each group. From day 0.5 to day 13.5 of pregnancy， the MSP group was given 26.6 g/（kg·d） of the MSP via gavage twice a day for 14 consecutive days. The normal group and the model group received 4 ml of normal saline daily. From day 7.5 to day 13.5 of pregnancy， the rats in the model group and MSP group were intraperitoneally injected with dihydrotestosterone （DHT） and insulin （INS） for 7 consecutive days to establish a PCOS model with hyperandrogenism， insulin resistance， and miscarriage. On day 13.5 of pregnancy， an oral glucose tolerance test （OGTT） was performed to measure blood glucose levels at 0， 30， 60， 90， and 120 minutes. On day 14.5， serum level of progesterone （P₄）， estradiol （E₂）， fasting insulin （FINS）， interleukin-6 （IL-6）， and tumor necrosis factor-alpha （TNF-α） were measured by ELISA. The insulin resistance index （HOMA-IR） was calculated. Embryo implantation， miscarriage rate， and average number of live fetuses were observed. Uterine tissue pathology was examined by HE staining， and mRNA expression of Il-6， Tnf-α， leukemia inhibitory factor （Lif）， homeobox gene 10 （Hoxa10）， prolactin family 8 subfamily A member 2 （Prl8a2）， and insulin-like growth factor-binding protein 1 （Igfbp1） in the uterine tissue was detected by qRT-PCR. ResultsCompared with the normal group， the model group had significantly higher blood glucose level at 0， 30， 60， 90， and 120 minutes， increased miscarriage rate， elevated HOMA-IR， decreased average number of live fetuses， lower level of P₄ and E₂， higher level of IL-6， TNF-α， and FINS， and higher mRNA expression of Il-6 and Tnf-α in the uterine tissue. The mRNA expression of Lif， Hoxa10， and Prl8a2 was reduced （P＜0.05 or P＜0.01）. The uterus had a dark red color， visible areas of bleeding， fewer embryos with developmental abnormalities， and increased placental necrosis. Pathological examination revealed thrombus in the decidual layer， unclear decidual cell morphology， loose arrangement， scattered distribution， edema degeneration in the cytoplasm， and nuclear shrinkage or disappearance， with extensive infiltration of inflammatory cells. In contrast， compared with the model group， the MSP group showed significantly lower blood glucose level at 0， 30， 60， 90， and 120 min， reduced miscarriage rate， lower HOMA-IR， increased number of live fetuses， higher level of P₄ and E₂， and lower level of IL-6， TNF-α， and FINS. The mRNA expression of Il-6 and Tnf-α in the uterine tissue was lower， while the expression of Lif， Hoxa10， and Prl8a2 mRNA was higher （P＜0.05 or P＜0.01）. There was significant improvement in uterine and embryo conditions， as well as in uterine tissue pathology. ConclusionThe MSP can reduce the miscarriage rate in a PCOS model with hyperandrogenism， insulin resistance， and miscarriage. Its mechanism may involve inhibiting inflammation， improving endometrial receptivity， and restoring the defects in endometrial decidualization.

ObjectiveMagnetoencephalography (MEG), a non-invasive neuroimaging technique, meticulously captures the magnetic fields emanating from brain electrical activity. Compared with MEG based on superconducting quantum interference devices (SQUID), MEG based on optically pump magnetometer (OPM) has the advantages of higher sensitivity, better spatial resolution and lower cost. However, most of the current studies are clinical studies, and there is a lack of animal studies on MEG based on OPM technology. Pain, a multifaceted sensory and emotional phenomenon, induces intricate alterations in brain activity, exhibiting notable sex differences. Despite clinical revelations of pain-related neuronal activity through MEG, specific properties remain elusive, and comprehensive laboratory studies on pain-associated brain activity alterations are lacking. The aim of this study was to investigate the effects of inflammatory pain (induced by Complete Freund’s Adjuvant (CFA)) on brain activity in a rat model using the MEG technique, to analysis changes in brain activity during pain perception, and to explore sex differences in pain-related MEG signaling. MethodsThis study utilized adult male and female Sprague-Dawley rats. Inflammatory pain was induced via intraplantar injection of CFA (100 μl, 50% in saline) in the left hind paw, with control groups receiving saline. Pain behavior was assessed using von Frey filaments at baseline and 1 h post-injection. For MEG recording, anesthetized rats had an OPM positioned on their head within a magnetic shield, undergoing two 15-minute sessions: a 5-minute baseline followed by a 10-minute mechanical stimulation phase. Data analysis included artifact removal and time-frequency analysis of spontaneous brain activity using accumulated spectrograms, generating spectrograms focused on the 4-30 Hz frequency range. ResultsMEG recordings in anesthetized rats during resting states and hind paw mechanical stimulation were compared, before and after saline/CFA injections. Mechanical stimulation elevated alpha activity in both male and female rats pre- and post-saline/CFA injections. Saline/CFA injections augmented average power in both sexes compared to pre-injection states. Remarkably, female rats exhibited higher average spectral power 1 h after CFA injection than after saline injection during resting states. Furthermore, despite comparable pain thresholds measured by classical pain behavioral tests post-CFA treatment, female rats displayed higher average power than males in the resting state after CFA injection. ConclusionThese results imply an enhanced perception of inflammatory pain in female rats compared to their male counterparts. Our study exhibits sex differences in alpha activities following CFA injection, highlighting heightened brain alpha activity in female rats during acute inflammatory pain in the resting state. Our study provides a method for OPM-based MEG recordings to be used to study brain activity in anaesthetized animals. In addition, the findings of this study contribute to a deeper understanding of pain-related neural activity and pain sex differences.

Objective:To discuss the effect of exosomes(Exos)loaded with microRNA-520a-5p(miR-520a-5p)on the pregnancy outcomes in fetal mice with intrauterine growth restriction(FGR),and to clarify its mechanism.Methods:The mouse placental mesenchymal stem cells(MSCs)were cultured in vitro and transfected with miR-520a-5p adenovirus vector(Ad-miR-520a-5p)to obtain the Exos with high miR-520a-5p load(miR-520a-5p-MSCs-Exos),which were then identified.The C57BL/6 mice were mated in cages at a female∶male ratio of 2∶1 to achieve successful pregnancy.Forty pregnant mice were divided into control group,FGR group,NC-MSCs-Exos group,and miR-520a-5p-MSCs-Exos group,with 10 mice in each group.Except for control group,the mice in other groups were exposed to excessive dexamethasone(DEX)during pregnancy to induce FGR models in the pregnant mice.The body weights of the fetal mice at birth and at 1,2,3,and 4 weeks after birth were detected;real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression levels of miR-520a-5p,DNA methyltransferase 3b(DNMT3b),and vascular endothelial growth factor(VEGF)mRNA in placenta tissue of the mice in various groups;Western blotting method was used to detect the expression levels of DNMT3b and VEGF proteins in placenta tissue of the mice in various groups;methylation-specific PCR(MSP)was used to analyze the methylation rates of VEGF promoter in placenta tissue of the mice in various groups;dual-luciferase reporter gene assay was used to verify the targeting relationship between miR-520a-5p and DNMT3b.Results:The results of transmission electron microscope(TEM)and nanoparticle tracking analysis(NTA)showed that the Exos were spherical with particle size concentrated near 100 nm;the Western blotting method results showed that the surface biomarkers CD63 and CD81 of Exos were positively expressed.The RT-qPCR results showed that compared with NC-MSCs-Exos and Ad-NC-MSCs-Exos,the expression level of miR-520a-5p in Ad-miR-520a-5p-MSCs-Exos was increased(P＜0.001).The differences in birth body weight and the body weights at 1,2,and 3 weeks after birth of the fetal mice among four groups were statistically significant(F=36.084,F=19.851,F=77.755,F=103.223;P＜0.001).Compared with control group,the birth body weight and the body weights at 1,2,and 3 weeks after birth of the fetal mice in FGR group were decreased(P＜0.05);compared with FGR group and NC-MSCs-Exos group,the birth body weight and the body weights at 1,2,and 3 weeks after birth of the fetal mice in miR-520a-5p-MSCs-Exos group were increased(P＜0.05).The One-way ANOVA results showed that the differences in the expression levels of miR-520a-5p,DNMT3b,and VEGF mRNA in placenta tissue of the mice among four groups were statistically significant(F=103.224,F=856.460,F=214.563;P＜0.001).The pairwise comparison between groups showed that compared with control group,the expression levels of miR-520a-5p and VEGF mRNA in placenta tissue of the mice in FGR group were decreased(P＜0.05),and the expression level of DNMT3b mRNA was increased(P＜0.05);compared with FGR group and NC-MSCs-Exos group,the expression levels of miR-520a-5p and VEGF mRNA in placenta tissue of the mice in miR-520a-5p-MSCs-Exos group were increased(P＜0.05),and the expression level of DNMT3b mRNA was decreased(P＜0.05).The One-way ANOVA results showed that the differences in the expression levels of DNMT3b and VEGF proteins in placenta tissue of the mice among four groups were statistically significant(F=245.601,F=149.360;P＜0.001).The pairwise comparison between groups showed that compared with control group,the expression level of DNMT3b protein in placenta tissue of the mice in FGR group was increased(P＜0.05),and the expression level of VEGF protein was decreased(P＜0.05);compared with FGR group and NC-MSCs-Exos group,the expression level of DNMT3b protein in placenta tissue of the mice in miR-520a-5p-MSCs-Exos group was decreased(P＜0.05),and the expression level of VEGF protein was increased(P＜0.05).The One-way ANOVA results showed that the difference in the methylation rate of VEGF promoter in placenta tissue of the mice among four groups was statistically significant(F=687.096,P＜0.001).The pairwise comparison between groups showed that compared with control group,the methylation rate of VEGF promoter in placenta tissue of the mice in FGR group was increased(P＜0.05);compared with FGR group and NC-MSCs-Exos group,the methylation rate of VEGF promoter in placenta tissue of the mice in miR-520a-5p-MSCs-Exos group was decreased(P＜0.05).Dual-luciferase reporter gene assay results showed that compared with miR-NC group,the luciferase activity in the cells containing DNMT3b-WT reporter vector in miR-520a-5p group was decreased(P＜0.05);compared with miR-NC group,the luciferase activity in the cells containing DNMT3b-MUT reporter vector in miR-520a-5p group had no change,no significant difference was observed(P＞0.05).Conclusion:The MSCs-derived Exos highly loaded with miR-520a-5p may improve the pregnancy outcomes of FGR fetal mice by targeting and down-regulating the expression of DNMT3b,inhibiting VEGF methylation,and promoting VEGF expression.

Twelve pre-processing protocols for formalin-fixed paraffin-embedded(FFPE)tissue samples were developed by orthogonal experimental design,incorporating different dewaxing buffers(Triton X-100 and xylene),lysis buffers(TFE and RapiGest),and enzyme digestion methods(iST,SP3,and FASP)to explore the optimal experimental conditions.These protocols were assessed based on protein and peptide identification depth,identification stability,and quantitative levels of protein abundance.The results indicated that Triton X-100 and xylene minimally impacted proteomics identification,whereas the TFE lysis buffer and iST digestion method significantly enhanced the proteomics analysis of FFPE samples.Considering the potential toxicity of xylene,the TTI protocol based on Triton X-100,TFE,and iST was determined to be the optimal choice.This protocol exhibited the best repeatability and stability,and a higher number of proteins associated with significant biological functions were identified.In conclusion,the established TTI protocol offered an efficient and comprehensive approach for proteomic analysis of FFPE samples,significantly enhancing the repeatability and stability of protein identification.

Non-invasive body fluids contain a wealth of health-related biomarkers.Monitoring these biomarkers can provide valuable information for disease diagnosis,health management,drug abuse screening,and sports performance optimization.In this work,a carbon nanotube-polysiloxane(CNT-Putty)-based wearable electrochemical sensor was constructed on glove by screen-printing method.This electrode material had not only a simple composition,but also a relatively simple synthesis process.In addition,the electrode exhibited superior electrochemical performance compared to commercial screen-printed electrodes.When applied to uric acid(UA)detection in three different body fluids,the CNT-Putty working electrode demonstrated excellent linearity,selectivity,and a low detection limit.The wearable glove sensor could successfully monitor UA levels in body fluids under varying dietary conditions,indicating its potential for personalized UA monitoring and management.

A rapid and accurate method for textile fiber identification was developed for quality control and consumer protection.This method utilized electric soldering iron burning-mesh collision enhanced microtube plasma ionization mass spectrometry(ESIB-MC-μTP-MS)to acquire textile fiber MS data and used a random forest(RF)prediction model to identify fiber composition based on these MS data.The MC-μTP device involved in the method was a homemade low-temperature plasma ionization device constructed using cost-effective and readily available components.The system was applicable for direct analysis of small amount of textile samples without any complex sample pretreatment processes.Characteristic thermal decomposition products of different fibers were generated via soldering iron burning(350℃)in ambient atmosphere,and were subsequently analyzed by a mass spectrometer,with each analysis completed within 5 s.Raw MS data underwent noise reduction,normalization,and global binning steps to form a dataset,and its intrinsic class separability was evaluated using principal component analysis(PCA)combined with k-means clustering.Then,the RF model was trained based on the dimensionality-reduced textile fiber dataset.After grid search optimization,this model demonstrated robust performance with a 0.9762 out-of-bag score,a 0.9683 cross-validation accuracy(5-fold),and a 0.9636 test accuracy,supported by precision,recall,and F1-scores exceeding 0.889 for all fiber classes.The method was applied to analysis of 30 luxury apparel samples from eight brands,among which 20 samples achieved 100%prediction confidence,aligning with labeled compositions.The identification result of two low-confidence samples was further confirmed using attenuated total reflection Fourier transform infrared spectroscopy(ATR-FT-IR).The method has been proven to be simple,portable and with minimal sample requirements for on-site customs inspections,providing a viable tool in the fight against counterfeit products,therefore supporting regulatory enforcement and consumer trust in the textile goods market.