Objective To investigate the role and regulatory mechanism of LINC00657 in the progression of cervical cancer. Methods Bioinformatics analysis predicted potential binding sites between LINC00657 and miR-30a-5p and between miR-30a-5p and Skp2. These sites were verified by using RNA immunoprecipitation and dual-luciferase reporter experiments. LINC00657, miR-30a-5p, and Skp2 mRNA expression levels in cervical cancer tissues and cell lines were assessed by utilizing RT-qPCR. Western blot analysis was employed to examine the protein levels of Skp2 in cells and subcutaneous xenograft tumor models in nude mice. Immunohistochemistry was applied to analyze Skp2 expression in animal tissues. The cellular processes of cervical cancer cell lines were evaluated through CCK-8, scratch, and Transwell assays. Results LINC00657 and Skp2 presented binding sites for miR-30a-5p. In cervical cancer, LINC00657 and Skp2 showed high expression levels (P<0.05), whereas miR-30a-5p displayed low expression (P<0.05). Functional experiments demonstrated that linc00657 upregulates Skp2 expression, a process that is dependent on its sequestration of miR-30a-5p. Conclusion LINC00657 promoted the malignant progression of cervical cancer by upregulating Skp2 expression through specifically sequestering miR-30a-5p, thereby relieving its inhibitory effect on the target gene Skp2.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Olfactory receptors (ORs) form the largest superfamily of G protein-coupled receptors (GPCRs). Traditionally recognized for their role in the nasal olfactory epithelium, where they mediate the sense of smell, accumulating evidence has firmly established their ectopic expression in non-olfactory tissues, including the intestine, lungs, and kidneys. The intestine, as the primary site for nutrient digestion and absorption, harbors a highly complex chemical environment. To adapt to this environment, the gut employs a sophisticated network of “chemosensors” to monitor luminal contents and maintain homeostasis. Among these sensors, intestinal ORs have emerged as crucial functional components, serving as a molecular bridge that connects environmental chemical signals—such as food-derived odorants—to specific physiological responses. This discovery has significantly deepened our understanding of how dietary flavors and compounds influence intestinal physiology at the molecular level. This review systematically summarizes the expression profiles, ligand classification, and biological functions of ORs within the gastrointestinal tract. Studies indicate that intestinal ORs exhibit distinct spatial distribution patterns across different gut segments and display cell-type specificity, particularly within enterocytes and enteroendocrine cells. These receptors function as versatile sensors capable of recognizing a wide variety of ligands, including exogenous dietary components, gut microbiota metabolites such as short-chain fatty acids, and endogenous small molecules like azelaic acid. Upon activation by specific ligands, intestinal ORs trigger intracellular signaling cascades, primarily involving the AC-cAMP-PKA pathway or calcium influx channels. A major focus of this review is to elucidate the molecular mechanisms by which these receptors regulate the secretion of gut hormones. Activation of specific ORs in enteroendocrine cells has been shown to stimulate the release of hormones such as glucagon-like peptide-1 (GLP-1), peptide YY (PYY), and serotonin (5-HT), thereby modulating systemic energy metabolism, glucose homeostasis, and gastrointestinal motility. Furthermore, the review addresses the critical roles of ORs in immune regulation and pathology. Evidence suggests that specific ORs contribute to the maintenance of intestinal immune homeostasis and may offer protection against inflammation. Beyond their involvement in inflammatory responses, ORs such as Olfr78 have been shown to regulate the differentiation and function of intestinal endocrine cells. Similarly, Olfr544 has been demonstrated to alleviate intestinal inflammation by remodeling the gut microbiome and metabolome. These findings collectively suggest that specific ORs hold promise as therapeutic targets for mitigating intestinal inflammation and maintaining gut homeostasis. Additionally, the review explores the emerging role of ORs in cancer. Although OR expression is often downregulated in tumor tissues compared to normal mucosa, activation of specific ORs by certain ligands can inhibit tumor cell proliferation and migration and induce apoptosis via pathways such as MEK/ERK and p38 MAPK. Conversely, other receptors, such as OR7C1, may serve as biomarkers for cancer-initiating cells. In conclusion, intestinal ORs represent a vital component of the gut’s sensory network. The review also discusses the translational potential of these findings. By elucidating the precise pairing relationships between dietary components and specific ORs, novel therapeutic strategies could be developed. Intestinal ORs may thus emerge as promising targets for nutritional and pharmacological interventions in metabolic diseases, inflammatory bowel diseases, and malignancies.

Clinical practice guidelines serve as a crucial bridge linking research evidence, clinical practice, and health policy decision-making. However, the guideline domain continues to face persistent challenges, including duplicate guideline development, variable methodological quality, lack of transparent reporting, insufficient implementation and translation, and delayed updates. Focusing solely on "how to develop a high-quality guideline" is no longer sufficient to meet the modern healthcare system's demands for timely, trustworthy, actionable, and dynamically updated recommendations. The emergence of the guideline ecosystem marks a shift in guideline research and practice from a linear development process toward a more systematic governance model. Rooted in the evidence ecosystem, the guideline ecosystem has its own distinct functional positioning, encompassing recommendation formulation, clinical implementation, and life-cycle updating. Looking ahead, China should leverage guideline registries, integrated quality assessment systems, implementation science, dynamic updating mechanisms, and artificial intelligence technologies to promote the transformation of its guideline system from scale expansion to an ecosystem-based model characterized by high quality and sustainability.

Background Polystyrene microplastics (PS-MPs) attract widespread public attention due to their adverse effects on mammalian reproductive systems. However, it is currently unclear whether ferroptosis is related to testicular damage and decreased sperm quality in mice exposed to PS-MPs. Objective To clarify the reproductive damage in male mice exposed to PS-MPs and investigate the mechanism of ferroptotic effects. Methods Five-week-old male BALB/c mice were randomly divided into four experimental groups, including one control group and three PS-MPs groups at low dose (0.5 mg·kg⁻¹), medium dose (5 mg·kg⁻¹), and high dose (50 mg·kg⁻¹), respectively, with 6 mice in each group. The treatment was delivered by gavage for 35 consecutive days (one time per day). After the mice were neutralized, the wet weights of testis and epididymis were measured, and organ coefficients were then calculated. Sperm was counted by hematimetry, and sperm motility and adenosine triphosphate (ATP) level were evaluated using CCK-8 and CellTiter Glo ® Kit 2.0 Assay respectively. In addition, serum testosterone, follicle-stimulating hormone, and luteinizing hormone were determined using ELISA kit, total testicular iron content was measured using tissue iron kit, and pathological changes in testicular tissue were observed after hematoxylin-eosin (HE) staining. We also used glutathione (GSH), malondialdehyde (MDA), and superoxide dismutase (SOD) assays to examine their changes to better understand the physiological status of testicular tissue. Finally, the expression levels of ferroptosis-associated proteins glutathione peroxidase 4 (GPX4) and solute carrier family 7 member 11 (SLC7A11) were detected by Western blotting. Results Compared with the control group, the testicular index in the high dose group decreased, and the epididymal index decreased in all dose groups (P<0.05). The results of sperm quality analysis showed that the sperm count in each dose group was lower than that of the control group; the sperm motility decreased, sperm malformation rate increased, and ATP level in sperm decreased in the medium and high dose groups. The results of HE staining showed that the spermatogenic epithelium was disordered and the arrangement of spermatogenic cells were loose in the low dose group, the spermatogenic gap was enlarged in the middle dose group, and the cells in the high dose group were vacuolated and even azoospermic. The results of serum sex hormone levels showed that the serum testosterone levels decreased in each dose group, the serum follicle-stimulating hormone levels decreased in the medium and high dose groups, and the serum luteinizing hormone levels decreased in the high dose group (P<0.05). The iron content in the testicular tissue homogenate of the high dose group increased (P<0.05). The levels of GSH and SOD in the homogenate of testicular tissue decreased in the medium and high dose groups, while the levels of MDA increased (P<0.05). The results of Western blotting showed that the protein expression level of GPX4 in the testis in the high dose group was lower than that in the control group. The protein expression levels of SLC7A11 in the medium and high dose groups were lower than that in the control group. The results of correlation analysis showed that the expression level of GPX4 was positively correlated with sperm count, and negatively correlated with MDA level (P<0.05). SLC7A11 expression level was positively correlated with sperm count, and negatively correlated with sperm malformation rate and MDA level (P<0.05). Conclusion PS-MPs exposure leads to decreased sperm quality, testicular damage, and decreased serum sex hormone levels in male mice, and its mechanism of action may involve ferroptosis.

Poloxamer， as a non-ionic surfactant， exhibits a unique triblock [polyethylene oxide-poly （propylene oxide）-polyethylene oxide] structure， which endows it with broad application potential in various fields， including solid dispersion technology， nanotechnology， gel technology， biologics， gene engineering and 3D printing. As a carrier， it enhances the solubility and bioavailability of poorly soluble drugs. In the field of nanotechnology， it serves as a stabilizer etc.， enriching preparation methods. In gel technology， its self-assembly behavior and thermosensitive properties facilitate controlled drug release. In biologics， it improves targeting efficiency and reduces side effects. In gene engineering， it enhances delivery efficiency and expression levels. In 3D printing， it provides novel strategies for precise drug release control and the production of high-quality biological products. As a versatile material， poloxamer holds promising prospects in the pharmaceutical field.

Abstract To analyzes the characteristics, problems and enlightenment of physical activity observation tools, so as to provide reference for researchers to quickly and accurately choose appropriate observation tools to evaluate children s and adolescents physical activity. Literature search is conducted in eight databases of Chinese and English, including CNKI, Wanfang, VIP, Web of Science, PubMed, Medline, ERIC, and SPORTDiscus. Ultimately, eight observation tools for assessing physical activity in children and adolescents are included. Through summarization and comparison, it is found that the applications of those tools cover multiple age groups, the observation indicators cover multiple dimensions for each with varying emphases, and the applicable contexts vary in their specific background information, and recording methods tend to be quantitative. However, several issues remain to be addressed in practical applications. First, the observation indicators need to be supplemented and improved; second, physical activity in community environments and academic classrooms requires further attention; third, physical activity intensity needs to be scientifically evaluated; fourth, observation and recording methods need to be integrated and innovated; fifth, the number of observation subjects needs to be expanded. Future research could focus on developing observation tools tailored to the characteristics of Chinese children and adolescents, while drawing on foreign observation tools to comprehensively assess physical activity among children and adolescents.

Aim To investigate the protective effect of Vaccarin(Va)on epithelial-mesenchymal transition(EMT)in renal fibrosis model mice through regulating STAT3,and the underlying mechanism.Methods Left ureter ligation was used to establish a mouse model of unilateral ureteral obstruction(UUO);human kid-ney tubular epithelial(HK2)cells were induced to differentiate by transforming growth factor-β(TGF-β)in vitro.HE and Masson staining were used to observe the morphological changes of renal tissue;kits were used to detect the levels of BUN,Cr,IL-1β and IL-7 in mouse serum;CCK-8 was used to detect the effect of Va on the viability of HK2 cells;RT-PCR was used to detect the levels of inflammatory factors in HK2 cells;Western blot was used to detect the expression of STAT3,p-STAT3,E-cadherin,and α-SMA proteins in renal tissue and HK2 cells;to further investigate the regulation of Va on STAT3,JAK/STAT3 pathway acti-vator RO8191 was used to treat TGF-β-induced HK2 cells,and functional loss was detected.Results Va improved the pathological damage in UUO mice,inhibi-ted the levels of BUN,Cr and inflammatory factors;Va inhibited the phosphorylation of STAT3,upregulated E-cadherin,and downregulated α-SMA protein expres-sion;RO8191 counteracted the inhibitory effect of Va on the phosphorylation of STAT3.Conclusions Va inhibits the phosphorylation of STAT3 and the release of inflammatory factors,improves EMT,thus exerting an anti-renal fibrosis effect.

Objective:To explore the effect of the combination of robot-assisted total knee arthroplasty and pressure sensor on early postoperative outcomes.Methods:Twenty patients who underwent YUANHUA robot-assisted TKA between September 2024 and December 2024 were prospectively enrolled. After randomization and exclusion of one patient lost to follow-up, 10 patients were included in the pressure-sensor group and 10 in the control (no-pressure) group. In the pressure-sensor group, surgeons used a pressure sensor to assist in soft tissue balancing after osteotomy, whereas in the control group, balancing was performed empirically. In both groups, medial and lateral compartment pressures of the knee at 10°, 45°, 90°, and 120° of flexion were recorded using a pressure sensor prior to component implantation. Clinical outcomes were evaluated preoperatively and at 1 day, 3 days, 1 week, 2 weeks, 6 weeks, and 3 months postoperatively using the visual analog scale (VAS), Knee Society Score (KSS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and Forgotten Joint Score (FJS).Results:All 20 procedures were completed successfully, and patients were followed for at least 3 months. At 10° of knee flexion, the difference between medial and lateral compartment pressures was significantly smaller in the pressure-sensor group (0.99±59.44 N) than in the control group (97.18±84.34 N; t=-2.948, P=0.009). At 45° of flexion, the corresponding differences were -12.99±36.20 N and 51.48±76.40 N, respectively ( t=-2.411, P=0.032). No significant differences in VAS, KSS, or WOMAC scores were observed between groups preoperatively ( P>0.05). At 3 months postoperatively, the KSS was significantly higher in the pressure-sensor group (174.40±16.39) compared with the control group (138.50±38.35, t=2.722, P=0.014). The WOMAC and VAS scores were significantly lower in the pressure-sensor group (12.70±11.00 and 1.20±0.92, respectively) than in the control group (27.30±18.54 and 2.70±2.00; t=-2.142, P=0.046; t=-2.153, P=0.045). At 2 weeks and 3 months postoperatively, the FJS scores in the pressure-sensor group [70.00±26.06 and 88.07(83.52, 95.83)] were significantly higher than those in the control group [37.92±32.42 and 50.00(32.50, 67.75); t=2.439, P=0.025; Z=-2.466, P=0.014]. Conclusion:The combination of precise osteotomy using robot-assisted TKA and soft tissue balancing guided by a pressure sensor provided more accurate medial-lateral compartment balance and significantly enhanced early postoperative clinical outcomes.