Objective To explore the early detection value of estimated glucose disposal rate(eGDR)for non-alcoholic fatty liver disease(NAFLD),providing a simple tool for precise clinical intervention.Methods A cross-sectional analysis was conducted on totally 3 262 participants with complete data from the National Health and Nutrition Survey Database of the United States from 2007 to 2018.Univariate regression and multivariate logistic regression analyses were used to explore the correlation between the estimated glucose treatment rate and the incidence of non-alcoholic fatty liver disease.Subgroup analysis,restricted cubic spline and threshold effect analysis were conducted to investigate the potential factor influences and nonlinear relationships.Result Among all the included populations,948 cases(25.29%)were diagnosed with NAFLD,and the number gradually decreased with the increase of the estimated glucose treatment rate(P<0.001).Multivariate logistic regression showed that the estimated grape processing rate was negatively correlated with non-alcoholic fatty liver disease(OR=0.86,95%CI:0.83～0.88,P<0.001),and when the estimated glucose processing rate was≥10.246,it could significantly reduce the risk of non-alcoholic fatty liver disease(OR=0.20,95%CI:0.10～0.39,P<0.001),and stratified analysis further confirmed this result.Conclusion The eGDR is significantly associated with the incidence risk of NAFLD.A higher eGDR indicates a lower risk of NAFLD.This implies that in clinical practice,the risk of disease detection can be quantified through this indicator,thereby identifying potential patients earlier and initiating intervention.Countermeasures As decision-makers,they should strengthen public health education on non-alcoholic fatty liver disease,reduce health risks by promoting healthy diets and lifestyle interventions,and pay attention to the cardiovascular health of high-risk groups for non-alcoholic fatty liver disease.At the same time,promote the research and application of drugs,and dynamically adjust policies through continuous disease monitoring to comprehensively reduce the burden of non-alcoholic fatty liver disease.

Gastrointestinal dysfunction is a common and significant complication in colorectal surgical practice, which is associated with gut microbiota dysbiosis caused by various perioperative interventions. Currently, enhanced recovery after surgery (ERAS) protocols have been increasingly adopted in clinical practice, greatly accelerating the recovery of postoperative intestinal function. However, there are still no effective interventions in the ERAS protocols to target surgery-induced gut microbiota dysbiosis. Probiotics, as a key treatment method targeting the gut microbiota, can stimulate intestinal motility, inhibit the colonization of pathogenic bacteria, enhance intestinal barrier function, among other effects. Based on these effects of probiotics, they are expected to resolve the neglected gut microbiota dysbiosis, further accelerating the postoperative recovery of intestinal function after colorectal surgery. This article reviews the mechanisms and clinical progress in postoperative bowel functional recovery after colorectal surgery.

Protein acylation is a group of recently identified chemical modification closely linked to me-tabolism with the metabolic intermediate acyl-coenzyme A(acyl-coA)as the substrate.Acylation posses-ses similar chemical structures to acetylation,with differences in carbon chain length,hydrophobicity,and charge.Most acyl-CoAs are intermediate metabolites,the level of which are influenced by the intra-cellular metabolic state.Therefore,protein acylation is greatly affected by cellular metabolism.Metabolic reprogramming is an important feature of tumor cells.In addition to the classic"Warburg effect",cancer cells exhibit abnormal regulation in lipid metabolism,amino acid metabolism and biological oxidation.Acylation on histones can impact chromatin structure,regulating gene expression and DNA repair critical-ly involved in cancer progression.On the other hand,acylation on non-histones can regulate signal trans-duction,enzymatic activity,or protein-protein interactions to affect cancer cell behaviors such as prolifer-ation,invasion,immune evasion,and vascular remodeling.Focusing on three types of acylation closely related to metabolism:lactylation,succinylation,and crotonylation,this article introduces the produc-tion,raw materials,regulatory mechanism and factors of protein acylation.We then review representative studies to show how cancer cell metabolic reprogramming can regulate these processes and histone/non-histone acylation levels,which subsequently affect the expression and function metabolism-related genes/proteins to form a bidirectional dialogue and accelerate cancer progression.In addition,we present sever-al prospects for potential research directions and translational applications in the field.

Objective:To analyze the development trajectory of sleep quality in patients with insomnia after cognitive behavioral therapy (CBT-I), and to explore the influencing factors of different development trajectories.Methods:A total of 418 patients with insomnia who received CBT-I at the Sleep Medicine Center of Xiamen Xianyue Hospital from February 2019 to June 2023 were recruited using convenience sampling. All patients completed the Pittsburgh sleep quality index (PSQI) at five time points: before CBT-I initiation (T1), at the end of treatment (T2), and at 3 months (T3), 6 months (T4), and 12 months (T5) post-treatment. At T1, all patients were evaluated by the insomnia severity index (ISI), Flinders fatigue scale (FFS), Beck depression inventory-Ⅱ (BDI-Ⅱ), Beck anxiety inventory (BAI), and dysfunctional beliefs and attitudes about sleep scale (DBAS). Latent class growth modeling (LCGM) was constructed and employed to analyze the development trajectories of sleep quality post-CBT-I using Mplus 8.0 software. Univariate analysis and Logistic regression analysis were conducted by SPSS 26.0 software to explore influencing factors of the sleep quality trajectories.Results:The PSQI scores of insomnia patients at T1, T2, T3, T4 and T5 were 15(12, 18), 8(6, 11), 5(3, 7), 5(3, 7) and 5(2, 7), respectively. Three distinct development trajectories were identified. Based on these trajectories, 418 patients were categorized into fluctuating development group ( n=44, 10.53%), slow improvement group ( n=193, 46.17%), and sustained improvement group ( n=181, 43.30%). Logistic regression analysis revealed that depressive symptom severity, anxiety symptom severity, family history of insomnia, and use of hypnotic medications were significant influencing factors for the sleep quality trajectories after CBT-I treatment (all P<0.05). Conclusion:The sleep quality of insomnia patients after CBT-I treatment shows different development trajectories, and its influencing factors are depression, anxiety, family history of insomnia and the use of hypnotic medications.

Objective To explore the current status of penile erection hardness and its influencing factors in patients with non-obstructive azoospermia.Methods From January to December 2024,450 patients with non-obstructive azoospermia were surveyed at the Reproductive Medicine Center of Hospital.A self-made general information questionnaire was used to collect their demographic data.The Erectile Hardness Scale(EHS)was employed to investigate the current status of their penile erection hardness,and a self-made questionnaire was utilized to explore the influencing factors.Results Among the 450 patients with non-obstructive azoospermia,during sexual intercourse,35.3%of the patients reported that their penile erection hardness could reach grade 4(normal state),54.5%reported that it only reached grade 3(sub-optimal state),9.3%reported that it only reached grade 2(slight penile erection),and 0.9%reported that it only reached grade 1(inability to achieve an erection).In the survey of satisfaction with sexual life quality,among the 450 patients,only 24.9%were very satisfied with their sexual life quality;57.3%were basically satisfied;9.6%considered it average;4.0%were dissatisfied;3.1%were very dissatisfied;and 1.1%had no sexual life.alcohol consumption(OR=2.393,95%CI:1.493～3.836),satisfaction with the quality of sexual life(OR=1.455,95%CI:1.118～1.894),educational attainment(OR=0.709,95%CI:0.549～0.917),and the sleep quality in the past month(OR=0.641,95%CI:0.452～0.907).Conclusions Clinical studies have shown that factors such as drinking habits,sexual life satisfaction,sleep quality,and educational attainment collectively influence the penile erection hardness in patients with non-obstructive azoospermia.Therefore,the medical team needs to customize personalized intervention plans and educational materials based on individual differences among patients.Through psychological counseling and lifestyle guidance,they can improve erectile function and the quality of sexual life,promote harmonious marital relationships,and enhance the overall life experience of the patients.

Objective:To observe the intervention effect of personalized nutrition program combined with rehabilitation training in stroke rehabilitation patients.Methods:86 stroke rehabilitation patients who were admitted to our hospital from January 2023 to June 2024 were prospectively selected,they were divided into control group and study group according to the random number table method,with 43 cases in each group,the control group received rehabilitation training,while the study group received personalized nutrition program combine with rehabilitation training.Simple Fugl Meyer motor function(FMA)score,immune function indicators[immunoglobulin(Ig)A,IgG,complement C3,IgM,complement C4],National Institutes of Health Stroke Scale(NIHSS),nutritional status indicators[albumin(ALB),prealbumin(PA),total protein(TP),hemoglobin(HB)],Stroke Specific Quality of Life Scale(SS-QOL),Barthel Index(BI)score were compared between the two groups.Results:NIHSS score in the study group at 8 weeks after intervention was lower than that in the control group,and SS-QOL score,BI score,FMA score,IgM,IgA,IgG,complement C3,complement C4,ALB,HB,TP and PA were higher than those in the control group(P＜0.05).Conclusion:Personalized nutrition program combined with rehabilitation training in stroke rehabilitation patients,can reduce neurological damage,improve limb motor function,enhance nutritional status,immunity,and quality of life.

Objective:To explore the genetic diversity of Mycobacterium tuberculosis (MTB) in different types of tuberculosis and its association with clinical features, providing evidence for precise diagnosis and treatment of tuberculosis. Methods:This cross-sectional study included 103 cases of tuberculosis (38 with simple pulmonary tuberculosis, 43 with tuberculous pleurisy, and 22 with pulmonary combined with extrapulmonary tuberculosis) from Shenzhen Third People′s Hospital from 2015 to 2018. Paired bacterial strains from lung and pleural effusion/extrapulmonary sites were collected. Whole-genome sequencing (WGS) was used for drug resistance prediction, and genetic diversity (π value) was calculated as well as differential genes screening. Statistical analysis included paired t-tests and χ2 tests to compare clinical, bacteriological and genetic diversity features among groups.Results:The simple pulmonary tuberculosis group exhibited significantly higher rates of retreatment (71.7%, 27/38), cavitation (70.4%, 19/27), and multidrug-resistant or rifampicin-resistant (MDR/RR) (60.5%, 23/38) compared to the tuberculous pleurisy group (retreatment 11.9%, 5/42; cavitation 11.9%, 5/42; MDR/RR 16.3%, 7/43) and extrapulmonary tuberculosis group (retreatment 9.1%, 2/22; cavitation 18.2%, 4/22; MDR/RR 13.6%, 3/22) ( P<0.05). The overall π values of the MTB strain genomes in lung [(5.94±3.93)×10 ?5], pleural effusion[(6.22±3.51)×10 ?5], and extrapulmonary tissues [(5.83±3.54)×10 ?5] showed no significant differences ( H=0.10, P=0.94). Differential gene diversity analysis revealed that π value alternating genes related to respiration and intermediate metabolism were prominently high [tuberculous pleurisy 32.4% (11/34) and extrapulmonary tuberculosis groups 31.4% (32/102)], while cell wall-associated genes dominated in the simple pulmonary tuberculosis group (42.9%, 6/14). Drug resistance profiles and mutation spectra were identical across isolates from different sites within the same patient. Conclusion:WGS revealed the MTB diversity among different types of tuberculosis. Difference between pulmonary and extrapulmonary environments may impel the adaptive alternations of the bacterial strains to maintain survival with higher overall genome stability. Drug resistance testing of lung-derived isolates may provide references on extrapulmonary tuberculosis treatment.

To address the challenges of capturing micro-strains in detecting esophageal motility disorders and the limitations of existing high-resolution manometry and functional intraluminal imaging probes in directly measuring esophageal tissue electrical impedance, this study proposes a novel flexible balloon sensor structure that integrates a piezoelectric film assembly with a distributed impedance electrode array. Using the electrical analysis module in the finite element analysis (FEA) software, simulations of the forward problem for esophageal impedance detection were conducted to optimize the excitation source parameters, and a physical prototype was fabricated. Under a relative excitation mode with a voltage sensitivity of 2.059%, the voltage output characteristics of the impedance electrode array were analyzed during linear changes in the balloon filling volume. Based on the performance variation of the piezoelectric film assembly, 80% was selected as the optimal filling volume. Force-electric coupling tests were conducted on the balloon sensor using a pressure testing platform, revealing that both the piezoelectric film assembly inside the balloon and the impedance electrodes outside the balloon exhibited significant load differentiation characteristics as the force application point shifted. In summary, this balloon sensor facilitates the localization of force application while simultaneously analyzing esophageal tissue properties, offering a novel diagnostic approach and objective tool for esophageal disease detection.
Esophagus/physiology* ; Electric Impedance ; Humans ; Finite Element Analysis ; Manometry/methods* ; Electrodes ; Esophageal Motility Disorders/physiopathology* ; Equipment Design

Circadian rhythm refers to the 24-hour periodic changes in behavior, physiology, and molecular processes in the human body. Disruptions to the circadian rhythm not only affect mental health but are also associated with various metabolic disorders, including the regulation of bone and muscle metabolism. Research has shown that work-related musculoskeletal disorders (WMSDs) are influenced not only by workload but also by circadian rhythm factors, such as shift work. This review examined the relationships between circadian rhythm-related antecedents, outcomes, and WMSDs, exploring their shared metabolic markers and mechanisms. It provided a systematic overview of the intrinsic connection between circadian rhythm disruptions and WMSDs. While current studies highlight the impact of circadian rhythm disturbances on musculoskeletal disorders, further investigation is required to address the confounding factors involved. Future research should integrate chronobiology with both subjective and objective data to explore the pathway from environmental factors to intermediate phenotypes to diseases, ultimately providing a more comprehensive understanding of the network mechanisms underlying WMSDs.

ObjectiveIn the realm of forensic science, dust is a valuable type of trace evidence with immense potential for intricate investigations. With the development of DNA sequencing technologies, there is a heightened interest among researchers in unraveling the complex tapestry of microbial communities found within dust samples. Furthermore, striking disparities in the microbial community composition have been noted among dust samples from diverse geographical regions, heralding new possibilities for geographical inference based on microbial DNA analysis. The pivotal role of microbial community data from dust in geographical inference is significant, underscoring its critical importance within the field of forensic science. This study aims to delve deeply into the nuances of fungal community composition across the urban landscapes of Beijing, Fuzhou, Kunming, and Urumqi in China. It evaluates the accuracy of biogeographic inference facilitated by the internal transcribed spacer 2 (ITS2) fungal sequencing while concurrently laying a robust foundation for the operational integration of environmental DNA into geographical inference mechanisms. MethodsITS2 region of the fungal genomes was amplified using universal primers known as 5.8S-Fun/ITS4-Fun, and the resulting DNA fragments were sequenced on the Illumina MiSeq FGx platform. Non-metric multidimensional scaling analysis (NMDS) was employed to visually represent the differences between samples, while analysis of similarities (ANOSIM) and permutational multivariate analysis of variance (PERMANOVA) were utilized to statistically evaluate the dissimilarities in community composition across samples. Furthermore, using Linear Discriminant Analysis Effect Size (LEfSe) analysis to identify and filter out species that exhibit significant differences between various cities. In addition, we leveraged SourceTracker to predict the geographic origins of the dust samples. ResultsAmong the four cities of Beijing, Fuzhou, Kunming and Urumqi, Beijing has the highest species richness. The results of species annotation showed that there were significant differences in the species composition and relative abundance of fungal communities in the four cities. NMDS analysis revealed distinct clustering patterns of samples based on their biogeographic origins in multidimensional space. Samples from the same city exhibited clear clustering, while samples from different cities showed separation along the first axis. The results from ANOSIM and PERMANOVA confirmed the significant differences in fungal community composition between the four cities, with the most pronounced distinctions observed between Fuzhou and Urumqi. Notably, the biogeographic origins of all known dust samples were successfully predicted. ConclusionSignificant differences are observed in the fungal species composition and relative abundance among the cities of Beijing, Fuzhou, Kunming, and Urumqi. Employing fungal ITS2 sequencing on dust samples from these urban areas enables accurate inference of biogeographical locations. The high feasibility of utilizing fungal community data in dust for biogeographical inferences holds particular promise in the field of forensic science.