BACKGROUND:Inter-limb asymmetry is a common phenomenon observed during human growth and development.Prolonged specialized training can lead to specific adaptations in inter-limb asymmetry among athletes.OBJECTIVE:To review the formation causes,manifestations,and impacts of inter-limb asymmetry on sports performance,and provide an overview of the relevant assessment methods and intervention strategies.METHODS:A literature search was conducted in the CNKI,WanFang,PubMed,and Web of Science databases from their inception to September 2024.The search terms included"asymmetry,asymmetries,asymmetric,asymmetrical,imbalance,strength,power,force,jump,sprint,athletic performance,anthropometry,injury"in English and Chinese.After excluding duplicate publications,irrelevant content,and conference papers,a total of 131 articles were finally included for analysis.RESULTS AND CONCLUSION:(1)Inter-limb asymmetry can be influenced by various factors including genetics,task demands,training regimens,injuries,fatigue,and limb preference.These factors lead to being primarily manifested in anatomical structure,strength performance,and task-specific asymmetry.(2)An increase in inter-limb asymmetry can result in impaired performance in bilateral in-phase symmetric movements.However,the relationship between increased inter-limb asymmetry and bilateral out-of-phase symmetric movements remains unclear and requires further investigation.(3)Training interventions have been shown to effectively mitigate inter-limb asymmetry,with unilateral training demonstrating superior outcomes compared with bilateral training.The choice of training methods and content should be tailored to meet the specific demands of the sport.(4)To further clarify the relationship between inter-limb asymmetry and athletic performance,it is recommended that future research adopt the concept of"task specificity"in inter-limb asymmetry.This includes standardizing study designs,selecting sensitive testing methods and indicators,unifying calculation methods to provide more high-quality evidence,and establishing categorized warning threshold standards for inter-limb asymmetry in different sports.

BACKGROUND:Inter-limb asymmetry is a common phenomenon observed during human growth and development.Prolonged specialized training can lead to specific adaptations in inter-limb asymmetry among athletes.OBJECTIVE:To review the formation causes,manifestations,and impacts of inter-limb asymmetry on sports performance,and provide an overview of the relevant assessment methods and intervention strategies.METHODS:A literature search was conducted in the CNKI,WanFang,PubMed,and Web of Science databases from their inception to September 2024.The search terms included"asymmetry,asymmetries,asymmetric,asymmetrical,imbalance,strength,power,force,jump,sprint,athletic performance,anthropometry,injury"in English and Chinese.After excluding duplicate publications,irrelevant content,and conference papers,a total of 131 articles were finally included for analysis.RESULTS AND CONCLUSION:(1)Inter-limb asymmetry can be influenced by various factors including genetics,task demands,training regimens,injuries,fatigue,and limb preference.These factors lead to being primarily manifested in anatomical structure,strength performance,and task-specific asymmetry.(2)An increase in inter-limb asymmetry can result in impaired performance in bilateral in-phase symmetric movements.However,the relationship between increased inter-limb asymmetry and bilateral out-of-phase symmetric movements remains unclear and requires further investigation.(3)Training interventions have been shown to effectively mitigate inter-limb asymmetry,with unilateral training demonstrating superior outcomes compared with bilateral training.The choice of training methods and content should be tailored to meet the specific demands of the sport.(4)To further clarify the relationship between inter-limb asymmetry and athletic performance,it is recommended that future research adopt the concept of"task specificity"in inter-limb asymmetry.This includes standardizing study designs,selecting sensitive testing methods and indicators,unifying calculation methods to provide more high-quality evidence,and establishing categorized warning threshold standards for inter-limb asymmetry in different sports.

Objective: To systematically evaluate the clinical efficacy of topical preparations of Mongolian medicine Manggari hot compress therapy (hereafter referred to as Manggari hot compress therapy) in treating cervical spondylotic radiculopathy (CSR) and explore the possible pharmacological material basis in the formula, providing evidence for the clinical application of Mongolian medicine in the treatment of CSR. Methods: The clinical trial employed a randomized, controlled, open-label, and outcome-assessor-blinded design. The CSR patients who were treated at the Department of Traditional Therapeutics Outpatient Clinic, Xilinguole Meng Mongolian General Hospital between July 1, 2024 and August 31, 2025, were enrolled. They were randomly assigned to three groups: an oral control group (administration of oral administration of mecobalamin tablets combined with cervical electric traction), an experimental group (Manggari external hot compress), and a patch control group (flurbiprofen gel plaster). The intervention lasted two weeks. Before and after treatment, the following subjective indicators were recorded: Mongolian Medicine Syndrome (MMS) score, Visual Analog Scale (VAS) score, Northwick Park Neck Pain Questionnaire (NPQ) score, and tongue morphology. Serum levels of inflammatory markers [tumor necrosis factor (TNF)-α, interleukin (IL)-6, and IL-1β)] and oxidative stress markers [malondialdehyde (MDA) content, superoxide dismutase (SOD) activity, and glutathione peroxidase (GSH-Px) activity] were measured using enzyme-linked immunosorbent assay (ELISA). Overall therapeutic efficacy was evaluated. One month after treatment completion, a follow-up assessment was conducted, and the MMS, VAS, and NPQ scores were recorded again for all patients. For the pharmacological substance exploration, ultra-high-performance liquid chromatography-Q-exactive orbitrap-mass (UHPLC-QE-MS) was employed to analyze blood-absorbed prototype components of Manggari, under both positive and negative ion modes. The targeting relationship between the core active compounds and the target protein was validated using molecular docking. Results: This study ultimately included 90 patients with CSR for analysis. Baseline characteristics showed no statistically significant differences among the three groups (P > 0.05). (i) Symptom scores. After treatment, the MMS, VAS, and NPQ scores decreased significantly from baseline in all three groups (P < 0.001). At follow-up, there was no significant difference in MMS, VAS, and NPQ scores of the experimental group compared with those at the end of the treatment (P > 0.05). After treatment, the experimental group showed significantly greater reductions in MMS, VAS, and NPQ scores than oral control and patch control groups (P < 0.001). At follow-up, these differences remained significant (P < 0.001). (ii) Inflammatory and oxidative stress markers. After treatment, serum levels of TNF-α, IL-6, and IL-1β, and MDA activity decreased significantly from baseline in all three groups (P < 0.001), and SOD content and GSH-Px activity increased significantly from baseline (P < 0.05). After treatment, the experimental group had significantly lower serum levels of TNF-α, IL-6, and IL-1β than oral and patch control groups. Additionally, it exhibited lower MDA activity and higher SOD content and GSH-Px activity compared with the two control groups. (P < 0.05). (iii) Overall efficacy. The total effective rate was 93.33% in the experimental group, 86.66% in the oral control group, and 83.33% in the patch control group. (iv) Pharmacological substance analysis. A total of 152 compounds were identified in the blood-absorbed components of Manggari. Among them, the core compounds—4-hydroxycoumarin, N-methylanthranilic acid, genistein, and ginsenoside-Rk1—showed binding energies to the key target proteins TNF-α and IL-1β range from − 4.7 to − 7.1 kcal/mol, with the majority of the binding energies being below − 5.0 kcal/mol, suggesting that it generally has a good binding affinity. Conclusion Mongolian medicine hot compress therapy effectively modulates inflammatory and oxidative stress responses through the combined action of its thermal effects and active pharmaceutical ingredients Manggari. It inhibits cervical nerve root inflammation and alleviates radicular pain, improving clinical symptoms, reducing pain severity, and alleviating neck functional disability.

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.

ObjectiveTo investigate the expression level of lysophosphatidyllecithin acyltransferase 4 （LPCAT4） in pancreatic cancer and its effect on the proliferation of pancreatic cancer cells. MethodsIn this study， the differentially expressed genes of patients with KRAS mutant and wild-type pancreatic cancer were analyzed by online database LinkedOmics. The LPCAT4 expression in pancreatic cancer tissues was analyzed online by the University of Alabama at Birmingham Cancer Data Analysis （UALCAN）， Sangerbox and gene expression profile interaction analysis 2 （GEPIA2）. Kaplan-Meier Plotter database was used to explore the correlation between LPCAT4 and the prognosis of patients with pancreatic cancer. The expression of LPCAT4 in human pancreatic cancer cells were detected by quantitative real-time PCR and Western blot analysis. LPCAT4 was knocked down in the high-expressing SW1990 cell line and overexpressed in the low-expressing MIA PaCa-2 cell line. The effects of LPCAT4 expression on cell proliferation were assessed using CCK-8 and EdU assays. STRING and GEPIA2 databases were used to obtain LPCAT4 binding and coexpressed genes in tumors， which were then analyzed by GO and KEGG. ResultsAnalysis of the LinkedOmics online database revealed a significant upregulation of LPCAT4 in patients with KRAS mutant pancreatic cancer compared to patients with KRAS wild-type pancreatic cancer. The online analysis of GEPIA2， UALCAN and Sangerbox 3.0 showed that the expression of LPCAT4 was higher in pancreatic cancer than in normal tissues. Analysis of the Kaplan-Meier Plotter database revealed that high LPCAT4 expression was associated with poorer prognosis in pancreatic cancer patients.Western blot and qPCR results showed that expression of LPCAT4 in pancreatic cancer cell lines was significantly higher than in normal pancreatic ductal epithelial cells. Knockdown of LPCAT4 in SW1990 cells inhibited proliferation， while overexpression in MIA PaCa-2 cells promoted proliferation. Enrichment analysis indicated that LPCAT4 was closely related to sulfur metabolism. ConclusionsLPCAT4 is highly expressed in pancreatic cancer and is associated with poor prognosis of patients. It plays a significant regulatory role in the proliferation of pancreatic cancer cells， with its expression level closely correlated with cell proliferation capacity. These findings reveal the critical role of LPCAT4 in the malignant progression of pancreatic cancer and provide important evidence for its potential as a therapeutic target.

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

Objective To construct a symptom network in patients with acute type A aortic dissection(ATAAD),so as to provide theoretical basis for the screening of dissection ATAAD during emergency pre-screening triage.Methods There were 433 patients diagnosed with ATAAD during 2019 to 2023 in an emergency department of a tertiary hospital in Wuhan.Their basic information and medical records were reviewed by self-designed data questionnaire.UCINET6.0 software was used to construct a symptom network,analyze the centrality index and determine the core symptoms.Symptom distribution of patients with positive and negative blood pressure in extremities was analyzed in the further.Results The most common symptoms in patients with type A aortic dissection were chest pain(77.37％),back pain(42.96％),and sweating(29.79％).In the symptom network,chest pain had the highest degree(rs=659).The closeness of chest pain,chest tightness,shortness of breath,back pain,nausea and vomiting,limb numbness and fatigue were same(rc=93.33).Fatigue has the highest betweenness(rb=13.69).Patients with positive limbs blood pressure mainly reported chest pain(70.17％),back pain(44.96％),and nausea and vomiting(19.33％),while those with negative limb blood pressure mainly reported chest pain(63.64％),back pain(63.64％),and orosphyalgia(39.40％).Orosphyalgia had the highest degree(rs=20).Conclusion The symptoms of ATAAD are complex and varied in patients.During triage,nurses should measure the limb blood pressure when patients complained chest pain alone or when combined with other hypoperfusion symptoms,such as back pain,chest tightness,sweating,near-death sensation,and shortness of breath.Aortic dissection cannot be ruled out in patients with negative blood pressure when they had chest pain,back pain or orosphyalgia.

A method was developed for determination of dilauryl thiodipropionate(DLTDP)in fried foods by coupling solid-phase extraction(SPE)pretreatment with reverse-phase liquid chromatography-tandem mass spectrometry(RPLC-MS/MS)detection.Samples were extracted with n-hexane as the solvent,purified using a neutral alumina SPE cartridge,and finally analyzed by RPLC-MS/MS.Quantitative analysis was performed using matrix-matched calibration curves combined with an external standard method under optimal experimental conditions.The results showed that DLTDP exhibited good linearity in the range of 2.0-50.0 μg/L,with a correlation coefficient(R2)≥0.999.The limit of detection(LOD)and the limit of quantification(LOQ)of the method were 0.15 mg/kg and 0.5 mg/kg,respectively.The mean recoveries at three fortification levels(0.5,1.0,and 200 mg/kg)in different samples ranged from 84.8%to 96.8%,with the relative standard deviations(RSDs)all less than 8.0%.The developed method was highly sensitive,accurate and reliable,and easy to operate,making it well suited for the routine quantitative analysis of DLTDP in fried foods.

Objective To analyze the results of health examination of soldiers stationed on an island,and to explore the health condition of the soldiers and main influencing factors,so as to provide scientific basis for further prevention and intervention.Methods The health examination reports of 507 soldiers stationed on an island were collected and analyzed.These soldiers were stratified according to age and body mass index.Priority diseases and abnormal results were analyzed.Results More than 40 kinds of abnormal results were detected,and the top 5 were sinus bradycardia,fatty liver,high uric acid,high blood pressure,and ametropia.There were significant differences in the detection rates of fatty liver,high cholesterol and kidney stone among all age groups(P<0.05).There were significant differences in the detection rates of fatty liver,high uric acid,high blood pressure and gallbladder polyps among soldiers with different BMI(P<0.05).Conclusion Metabolic diseases have become the main health problems in soldiers stationed on islands.Health care should be intensified,and health management targeting risk factors should be implemented to effectively reduce the prevalence rate and enhance combat capabilities.

Background Exposure to polycyclic aromatic hydrocarbons (PAHs) is associated with the development of metabolic syndrome (MS). However, the role of amino acids in PAH-induced MS remains unclear. Objective To explore the impact of PAHs exposure on the incidence of MS among coking workers, and to determine potential modifying effect of amino acid on this relationship. Methods Unmatched nested case-control design was adopted and the baseline surveys of coking workers were conducted in two plants in Taiyuan in 2017 and 2019, followed by a 4-year follow-up. The cohort comprised 667 coking workers. A total of 362 participants were included in the study, with 84 newly diagnosed cases of MS identified as the case group and 278 as the control group. Urinary levels of 11 PAH metabolites and plasma levels of 17 amino acids were measured by ultrasensitive performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Logistic regression was used to estimate the association between individual PAH metabolites and MS. Stratified by the median concentration of amino acids, Bayesian kernel machine regression (BKMR) model was employed to assess the mixed effects of PAHs on MS. Due to the skewed data distribution, all PAH metabolites and amino acids in the analysis were converted by natural logarithm ln (expressed as lnv). Results The median age of the 362 participants was 37 years, and 83.2% were male. Compared to the control group, the case group exhibited higher concentrations of urinary 2-hydroxyphenanthrene (2-OHPhe), 9-hydroxyphenanthrene (9-OHPhe), and hydroxyphenanthrene (OHPhe) (P=0.005, P=0.049, and P=0.004, respectively), as well as elevated levels of plasma branched chain amino acid (BCAA) and aromatic amino acid (AAA) (P<0.05). After being adjusted for confounding factors, for every unit increase in lnv_2-OHPhe in urine, the OR (95%CI) of MS was 1.57 (1.11, 2.26), and for every unit increase in lnv_OHPhe, the OR (95%CI) of MS was 1.82 (1.16, 2.90). Tyrosine, leucine, and AAA all presented a significant nonlinear correlation with MS. At low levels, tyrosine, leucine, and AAA did not significantly increase the risk of MS, but at high levels, they increased the risk of MS. In the low amino acid concentration group, as well as in the low BCAA and low AAA concentration groups, it was found that compared to the PAH metabolite levels at the 50th percentile (P₅₀), the log-odds of MS when the PAH metabolite levels was at the 75th percentile (P₇₅) were 0.158 (95%CI: 0.150, 0.166), 0.218 (95%CI: 0.209, 0.227), and 0.262 (95% CI: 0.241, 0.282), respectively, However, no correlation between PAHs and MS was found in the high amino acid concentration group. Conclusion Amino acids modify the effect of PAHs exposure on the incidence of MS. In individuals with low plasma amino acid levels, the risk of developing MS increases with higher concentrations of mixed PAH exposure. This effect is partly due to the low concentrations of BCAA and AAA.