With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

In recent years， hyperuricemia （HUA） has shown a rapidly increasing incidence and tends to occur in increasingly young people， with a wide range of cardiac， renal， joint， and cancerous hazards and all-cause mortality associations. Western medicine treatment has limitations such as large liver and kidney damage， medication restriction， and easy recurrence. The intestine is the major extra-renal excretion pathway for uric acid （UA）， and the intestinal microecology can be regulated to promote UA degradation. It offers great potential to develop UA-lowering strategies that target the intestinal microecology， which are promising to provide safer and more effective therapeutic approaches. Traditional Chinese medicine （TCM） can treat HUA via multiple targets and multiple pathways from a holistic view， with low toxicity and side effects. Studies have shown that intestinal microecology is a crucial target for TCM in the treatment of HUA. However， its specific mechanism of action has not been fully elucidated. Focusing on the key role of intestinal microecology in HUA， this review explores the relationship between intestinal microecology and HUA in terms of intestinal flora， intestinal metabolites， intestinal UA transporters， and intestinal barriers. Furthermore， we summarize the research progress in TCM treatment of HUA by targeting the intestinal microecology， with the aim of providing references for the development of TCM intervention strategies for HUA and the direction of future research.

ObjectiveTo observe the clinical efficacy and safety of Guben Quyu Jiedu prescription in treating nocturnal hypoxemia of chronic obstructive pulmonary disease （COPD） combined with Obstructive sleep apnea hypopnea syndrome （ OSAHS ） （deficiency of lung， spleen and kidney with blood stasis and toxicity）. MethodsThe paper used a forward-looking， random double-blind， placebo-controlled design method to select 96 patients with COPD combined with OSAHS， and their traditional Chinese medicines （TCM） syndrome differentiation was deficiency of lung， spleen and kidney with blood stasis and toxicity. These patients were randomly divided into the observation group and the control group， with 48 cases in each group. Based on conventional Western medicine treatment， the observation group was treated with Guben Quyu Jiedu prescription and the control group was treated with traditional Chinese medicine placebo. Both courses of treatment were 90 days. Then the paper compared the changes in minimum pulse oxygen saturation （SpO₂） during the night， apnea index （AHI）， OSAHS efficacy evaluation， TCM syndrome efficacy evaluation， and TCM symptom score before and after treatment between the two groups. ResultsThere were 5 withdrawals in the observation group and 8 withdrawals in the control group， so 43 cases in the observation group and 40 cases in the control group completed the trial. Compared with the condition before treatment， the minimum SpO₂ during the night and AHI in the observation group were significantly improved at night （P<0.01） and were better than those in the control group （P<0.01）. OSAHS efficacy in the observation group was better than in the control group （χ²=7.085， P<0.05）. In terms of TCM syndrome efficacy， the total effective rate was 81.40% （35/43） in the observation group， significantly higher than that in the control group， which was 15.00% （6/40） （χ²=36.78， P<0.01）. The TCM symptom scores of the two groups were improved compared with the condition before treatment， and the effect of the two groups was similar in the four main symptoms of snoring， choking， lethargy， and cough. However， the observation group was better than the control group in 10 details such as dizziness， headache， chest tightness， chest pain， wheezing， dry mouth， and thirst （P<0.05）. ConclusionUsing Guben Quyu Jiedu prescription combined with conventional Western medicine can treat COPD combined with OSAHS hypoxemia at night （deficiency of lung， spleen and kidney with blood stasis and toxicity）. In this way， the minimum pulse oxygen saturation （SpO₂） of patients， the level of disease control， and the quality of life of patients can be improved， and the clinical symptoms can be relieved.

Objective: To assess the dynamic changes of microcirculation at acupoints in patients with primary dysmenorrhea and cold congelation and blood stasis syndrome using laser speckle blood flow imaging. Methods: Patients with primary dysmenorrhea and cold coagulation and blood stasis syndrome (primary dysmenorrhea group, n=53) and healthy female college students(control group, n=57) who met the inclusion and exclusion criteria from October 2020 to July 2022 were enrolled at Hebei University of Chinese Medicine. On the premenstrual and first day of menstruation, a laser speckle blood flow imaging system was used to measure the microcirculation blood flow perfusion on the surface of acupoints related to the conception, thoroughfare, and governor vessels, and stomach, spleen, and bladder meridians in the abdomen and lumbosacral regions. The dynamic changes in microcirculation were calculated based on the difference in average blood flow perfusion at each acupoint before and after menstruation. Receiver operating curve (ROC) analysis was used to analyze the diagnostic efficacy of dynamic changes in microcirculation on the surface of each acupoint. The microcirculation sensitization rate of acupoints was calculated. Results: Compared with the control group, the dynamic changes in microcirculation at the following acupoints in the primary dysmenorrhea group were increased (P<0.05): conception vessel (Yinjiao[CV7], Qihai[CV6], Shimen[CV5], Guanyuan[CV4]); left thoroughfare vessel (left Huangshu[KI16], left Zhongzhu[KI15], left Siman[KI14], left Qixue[KI13], left Dahe[KI12], left Henggu[KI11]); left stomach meridian (left Tianshu[ST25], left Wailing[ST26], left Qichong[ST30]); left spleen meridian (left Daheng[SP15], left Fujie[SP14]); right thoroughfare vessel (right Huangshu[KI16], right Zhongzhu[KI15], right Siman[KI14], right Qixue[KI13], right Dahe[KI12], right Henggu[KI11]); right stomach meridian (right Wailing[ST26], right Daju[ST27], right Shuidao[ST28], right Guilai[ST29], right Qichong[ST30]); and right spleen meridian (right Fujie[SP14]). The area under the ROC curve of conception vessel (Yinjiao[CV7], Qihai[CV6], Shimen[CV5], Guanyuan[CV4]), thoroughfare vessel (right Siman[KI14], left Huangshu[KI16], right Qixue[KI13], right Zhongzhu[KI15], right Dahe[KI12], left Zhongzhu[KI15], left Siman[KI14], right Huangshu[KI16], left Qixue[KI13], right Henggu[KI11], left Henggu[KI11], left Dahe[KI12]); stomach meridian (left Tianshu[ST25], right Guilai[ST29], left Wailing[ST26], right Shuidao[ST28], right Daju[ST27], right Wailing[ST26], right Qichong[ST30], left Qichong[ST30]), and spleen meridian (left Daheng[SP15], left Fujie[SP14], right Fujie[SP14]) was 0.610-0.682 (P<0.05). Compared with the control group, the sensitization rate of some acupoints in the primary dysmenorrhea group increased (P<0.05). Conclusion With the onset of menstruation, the blood flow perfusion of some acupoints in the abdomen (thoroughfare, and conception vessels, and stomach and spleen meridians) of patients with primary dysmenorrhea and cold blood coagulation and blood stasis syndrome increased, and the status of acupoints changed from a resting state to an active state. These acupoints are sensitive in patients with primary dysmenorrhea and cold blood coagulation and blood stasis syndrome and have a certain diagnostic efficacy, providing a basis for further analyzing the efficacy and mechanism of acupuncture and moxibustion to treat primary dysmenorrhea with cold blood coagulation and blood stasis syndrome.

Fecal microbiota transplantation (FMT) technology originated in China during the Eastern Jin Dynasty and has rapidly developed over the past two decades, becoming a primary method for studying the causal relationship between gut microbiota and the occurrence and progression of diseases. At the same time, the therapeutic effects of FMT in the field of gastrointestinal diseases have gained widespread recognition and are gradually expanding into other disease areas. The FMT procedure is relatively complex, and there is currently no standardized method; its success is influenced by various factors, including the donor, recipient, processing of the fecal material, and the method of implantation. Given the increasingly recognized relationship between gut microbiota and various diseases, FMT has become a research hotspot in both scientific studies and clinical applications, achieving a series of significant advancements. To help researchers better understand this technology, this paper will outline the development history of FMT, summarize common operational methods in research and clinical settings, review its application progress, and look forward to future development directions.

Objective: To analyze the change trends in the body shape indicators and proportions of students in Harbin from 2010 to 2024, and to investigate ergonomic compatibility of functional dimensions of school desks and chairs with current student shape indicators, so as to provide a reference for revising furniture standards of desks and chairs. Methods: Between September and November of both 2010 and 2024, a combination of convenience sampling and stratified cluster random sampling was conducted across three districts in Harbin, yielding samples of 6 590 and 6 252 students, respectively. Anthropometric shape indicators cluding height, sitting height, crus length, and thigh length-and their proportional changes were compared over the 15-year period. The 2024 data were compared with current standard functional dimensions of school furniture. The statistical analysis incorporated t-test and Mann-Whitney U- test. Results: From 2010 to 2024, average height increased by 1.8 cm for boys and 1.5 cm for girls; sitting height increased by 1.5 cm for both genders; crus length increased by 0.3 cm for boys and 0.4 cm for girls; and thigh length increased by 0.5 cm for both genders. The ratios of sitting height to height, and sitting height to leg length increased by less than 0.1 . The difference between desk chair height and 1/3 sitting height ranged from 0.4-0.8 cm. Among students matched with size 0 desks and chairs, 22.0% had a desk to chair height difference less than 0, indicating that the desk to chair height difference might be insufficient for taller students. The differences between seat height and fibular height ranged from -1.4 to 1.1 cm; and the differences between seat depth and buttock popliteal length ranged from -9.8 to 3.4 cm. Among obese students, the differences between seat width and 1/2 hip circumference ranged from -20.5 to -8.7 cm, while it ranged from -12.2 to -3.8 cm among non obese students. Conclusion Current furniture standards basically satisfy hygienic requirements; however, in the case of exceptionally tall and obese students, ergonomic accommodations such as adaptive seating allocation or personalized adjustments are recommended to meet hygienic requirements.

[摘 要] 目的：构建程序性死亡受体1（PD-1）高表达的细菌质膜纳米囊泡（BMV）BMV-PD-1，评估其对小鼠肺癌移植瘤组织的靶向性。方法：通过质粒转化将PD-1与膜孔蛋白细胞溶素A（ClyA）融合质粒ClyA-PD-1-EGFP转入大肠杆菌BL21-Codonplus，使用激光共聚焦显微镜、SDS-PAGE和WB法检测融合蛋白ClyA-PD-1-EGFP的表达。提取质膜并采用挤出法，利用挤出器制备BMV-PD-1。采用透射电子显微镜（TEM）、纳米粒子跟踪分析（NTA）技术分别对BMV-PD-1的形态、粒径和膜电位进行检测，用WB鉴定PD-1蛋白的携带情况。采用激光共聚焦成像检测Lewis肺癌LLC细胞对BMV-PD-1的摄取。建立肺癌LLC细胞C57BL/6J小鼠皮下移植瘤模型，采用小动物活体成像系统评估BMV-PD-1的肿瘤靶向性。结果：激光共聚焦显微成像结果显示，质粒ClyA-PD-1-EGFP被转入BL21-Codonplus并成功表达蛋白。SDS-PAGE结果表明，ClyA-PD-1-EGFP在BL21-Codonplus中过表达。WB分析表明，PD-1在细菌中表达且在BMV-PD-1上呈高表达（P < 0.001）状态。NTA和TEM分析表明，BMV-PD-1是一种粒径为（145 ± 14） nm、表面呈负电性的球状囊泡。激光共聚焦成像显示，PD-1高表达能显著提升肺癌细胞对BMV-PD-1的摄取（P < 0.01），小动物活体成像也进一步证实PD-1高表达能有效提升BMV-PD-1的肿瘤靶向性（P < 0.01）。结论：本研究成功构建了PD-1高表达的细菌纳米囊泡BMV-PD-1，发现PD-1高表达可显著提高BMV-PD-1的肺癌LLC细胞移植瘤组织的靶向性，为进一步开发以BMV-PD-1为载体的肿瘤靶向药物递送系统奠定基础。

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.