The escalating pressure from global population growth, climate change, and resource consumption is intensifying the burden on traditional agricultural production. Against this backdrop, soil degradation and pollution present increasingly severe challenges, creating a vicious cycle with rising food demands. Maintaining soil health and its ecosystem services has thus become a critical prerequisite for achieving sustainable agriculture in the future. This review explores the impacts of soil carbon (C) and nitrogen (N) dynamics on soil microbial communities and their interactions. Soil C and N are key determinants of microbial diversity and community structure, intrinsically linked to soil C/N cycling, crop productivity, and ecological balance. Environmental factors such as nitrogen fertilizer application, organic matter amendment application, litter decomposition, elevated CO₂ concentrations, and nitrogen deposition significantly influence soil C and N dynamics. Changes in soil C and N content regulate microbial community dynamics and the synergistic, competitive, and antagonistic interactions among microorganisms. Meanwhile, microbial communities actively respond to alterations in soil C and N availability. The resulting shifts in microbial communities and their interactions subsequently regulate soil C/N cycling and ecosystem stability, ultimately influencing ecosystem functions. By elucidating the mechanisms underlying soil carbon-nitrogen-microbial interactions, this review significantly advances our understanding of soil ecosystem responses and feedback mechanisms in the context of global change, while also providing crucial practical guidance for enhancing soil fertility and promoting sustainable agricultural development through microbial regulation.
Soil Microbiology ; Nitrogen/metabolism* ; Carbon/metabolism* ; Soil/chemistry* ; Bacteria/growth & development* ; Fungi/metabolism* ; Ecosystem ; Fertilizers ; Agriculture

Pneumothorax during pediatric laparoscopic surgery is a potentially fatal complication that may not be promptly recognized. It can occur due to congenital anatomical abnormalities, pre-existing pulmonary disease, or operative factors during laparoscopy. Clinical presentation may range from asymptomatic to acute respiratory distress, pleuritic chest pain, and even life-threatening circulatory collapse. Here, we report a case of sudden intraoperative pneumothorax accompanied by extensive subcutaneous emphysema of the neck and chest wall during laparoscopic high ligation of the hernial sac in a child. The child presented with a reducible left lower abdominal mass and mild pain 3 days prior but did not seek medical attention. Symptoms worsened 1 day prior to admission, with difficulty reducing the mass. On April 8, 2021, the patient was admitted to the Department of Anesthesiology, Zhuzhou Hospital Affiliated to Xiangya School of Medicine of Central South University, with a diagnosis of "left inguinal hernia." On the second day of hospitalization, laparoscopic high ligation of the left inguinal hernia sac was performed under general anesthesia. During the procedure, the patient developed a sudden increase in airway pressure, marked hemodynamic fluctuations, crepitus in the neck and right anterior chest regions, and significantly diminished breath sounds in the right lung. Emergent bedside chest X-ray confirmed a right-sided pneumothorax. Immediate intervention including thoracic needle decompression, closed thoracic drainage, the lung re-expansion was performed. The patient was discharged on the 7th postoperative day with full recovery. This case highlights the need for clinicians to remain vigilant for iatrogenic pneumothorax during pediatric laparoscopic surgery. Close intraoperative monitoring of vital signs is crucial for early detection, recognition, and timely management of pneumothorax to ensure patient safety during minimally invasive procedures.
Humans ; Laparoscopy/methods* ; Pneumothorax/etiology* ; Ligation/methods* ; Hernia, Inguinal/surgery* ; Male ; Intraoperative Complications/etiology* ; Child ; Herniorrhaphy/methods* ; Female ; Subcutaneous Emphysema/etiology*

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Objective To investigate the protective effect of verapamil on hyperuricemia nephropathy(HN)in mice through modulating TXNIP/NLRP3 inflammasome signaling pathway.Methods Thirty-two male C57BL/6J mice(8 weeks old,weighing 18～22 g)were randomly divided into a blank control group,a model group,an allopurinol group(10 mg/kg),and a verapamil group(40 mg/kg),with 8 animals in each group.Except for the control mice,the other mice were given 10%fructose water and adenine to establish a mouse model of HN.After successful establishment of model mice,the corresponding interventions were administered to the mice of the other 3 groups for 4 consecutive weeks.The levels of serum uric acid(UA),creatinine(Cr),urea(UREA),aspartate aminotransferase(AST)and alanine aminotransferase(ALT)were measured.HE staining was used to assess the alterations in renal morphology and the infiltration of inflammatory cells,while Masson's staining was employed to evaluate renal fibrosis.Moreover,ELISA was employed to measure the contents of IL-1β and IL-6 in kidney tissue,while serum levels of malondialdehyde(MDA),superoxide dismutase(SOD),and glutathione peroxidase(GSH-Px)were detected by colorimetric assay.Furthermore,immunohistochemical staining and Western blot analysis were conducted to examine the expression of TXNIP,NLRP3,IL-1β,MMP7,FN1,CD68,and MPO proteins in the kidney.Results Compared to the control group,HN mice exhibited increased serum UA,Cr,and UREA levels(P<0.05),renal pathological changes including renal tubular regeneration,interstitial or periglomerular fibrosis and prominent infiltration of inflammatory cells,and significantly increased renal contents of IL-1β and IL-6 and serum MDA level(P<0.05),while reduced serum SOD and GSH-Px contents(P<0.05),as well as up-regulation of kidney proteins TXNIP,NLRP3,IL-1β,CD68,MPO,FN1 and MMP7(P<0.01).Verapamil treatment notably reduced serum UA and Cr levels(P<0.01),improved kidney lesions to some extents,decreased collagen volume fraction(CVF)(P<0.01),and restored pro-inflammatory cytokines and oxidative stress markers(P<0.05)when compared with the levels in the model group.Further research found that the expression of kidney proteins TXNIP,NLRP3,IL-1β,CD68,MPO,FN1,and MMP7 was significantly down-regulated by verapamil treatment(P<0.05).Conclusion Verapamil exhibits a renal protective effect on HN mice through its anti-inflammatory,antioxidant,and antifibrotic properties,and its mechanism may be related to the inhibition of the TXNIP/NLRP3 inflammasome signaling pathway.

Objective:To investigate the effects of different types and administration times of defoaming agents on the gastric vision clarity before magnetically controlled capsule endoscopy (MCE) in children.Methods:A retrospective analysis was conducted on children who underwent MCE in Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University from January 2017 to March 2023.Children were divided into three groups based on type of defoaming agents: the simethicone emulsion group (10 mL simethicone emulsion), the dimethicone powder group (5 g dimethicone powder dissolved in 30 mL warm water), and the dimethicone emulsion group (4 mL dimethicone emulsion dissolved in 10 mL water). Each group was further divided into 3 subgroups based on the time of administration before the examination: 30 minutes, 45 minutes, and 60 minutes, resulting in a total of 9 subgroups. The primary outcome measure was the gastric bubble score. Secondary outcomes included gastric cleanliness score, examination time, gastric transit time (GTT), diagnostic efficacy, and safety assessment.Results:A total of 180 children (20 per group) were included in the study. The gastric bubble score (0.89 ± 0.35) and gastric cleanliness score (0.99 ± 0.52) in the 45-minutes subgroup of the dimethicone powder group were significantly lower than those in other groups, indicating better view clarity, with significant differences ( P<0.05). There were no significant differences in examination time, GTT, or the positive detection rate of gastric diseases among the groups ( P>0.05). Conclusion:Administration of defoaming agents before MCE can significantly reduce gastric bubbles and improve the view clarity of the gastric mucosa. The optimal regimen for children is taking 5 g dimethicone powder dissolved in 30 mL warm water 45 minutes before the examination.

Objective To validate the diagnostic performance and risk stratification ability of an AI-based recognition system(PE-AI)for pulmonary embolism(PE)using computed tomography pulmonary angiography(CTPA)so as to analyze its diagnostic value in clinical practice.Methods A total of 416 patients with suspected PE who underwent CTPA from January 1,2023 to December 10,2023 at our hospital were included in this study.Two junior radiologists and PE-AI separately detected and diagnosed emboli in the collected cases by double-blind method,and recorded the diagnosis time respectively.Three senior radiologists reviewing with clinical follow-up results were used as the gold standard in this study.Diagnostic performance was evaluated by using the receiver operating characteristic(ROC)curve analysis and Delong-t test.For positive cases,the pulmonary artery obstruction index(PAOI)calculated by AI and manually were collected respectively and consistency analysis was performed.Results The area under the curve(AUC)of PE-AI,manual and combined diagnosis was 85.6％,90.8％and 95.1％,respectively,which differed significantly(P＜0.05).The reading time of PE-AI[(0.16±0.07)min]was significantly lower than the time of manual[(4.42±1.85)min,P＜0.001]and combined diagnosis[(4.58±1.84)min,P＜0.001].The PAOI measured by PE-AI and manually had high consistency(intraclass correlation efficient,ICC=0.80)in the subgroup analysis of confirmed cases.Conclusion AI can quickly identify pulmonary artery emboli in a short time and assist radiologists to improve diagnostic efficiency.At the same time,through the intelligent detection of PAOI,it is helpful for the risk stratification of patients with PE and optimizing the diagnosis and treatment pathway for pulmonary embolism.

Objective To analyze relevant literature on the essence of traditional Chinese medicine syndromes using bibliometric methods;To understand the current research status and hotspots in this field;To provide references for relevant research.Methods Research literature about the essence of TCM syndromes was retrieved from CNKI,VIP,Wanfang Data and CBM from 1st Jan.1979 to 30th June 2024.CiteSpace 6.2 software was used to conduct visualization analysis on authors,institutions,keywords,etc.Results A total of 695 articles were included,with an overall upward trend in publication volume followed by stabilization.The authors who published more articles included Luo Ren(13 articles),Zhao Xiaoshan(13 articles),Li Zegeng(12 articles),etc.The institutions with more publications included Shandong University of Traditional Chinese Medicine(35 articles),Beijing University of Chinese Medicine(33 articles),Chengdu University of Traditional Chinese Medicine(26 articles),etc.Institutions were clustered regionally,and cooperation was mostly between TCM universities and their affiliated hospitals,with less cross regional communication.High frequency keywords included kidney yang deficiency syndrome,metabolomics,animal models,TCM syndrome types,coronary heart disease,lung qi deficiency syndrome,spleen qi deficiency syndrome,liver depression and spleen deficiency syndrome,etc;Keyword clustering covered aspects such as biomolecules and metabolism,TCM syndromes,pathology,disease models,and animal research.Conclusion Research in the field of the essence of TCM syndromes is gradually receiving more attention.Exploring the essence of TCM syndromes at the molecular level through techniques such as genomics,transcriptomics,metabolomics and proteomics is a research hotspot and trend in this field.

Objective To validate the diagnostic performance and risk stratification ability of an AI-based recognition system(PE-AI)for pulmonary embolism(PE)using computed tomography pulmonary angiography(CTPA)so as to analyze its diagnostic value in clinical practice.Methods A total of 416 patients with suspected PE who underwent CTPA from January 1,2023 to December 10,2023 at our hospital were included in this study.Two junior radiologists and PE-AI separately detected and diagnosed emboli in the collected cases by double-blind method,and recorded the diagnosis time respectively.Three senior radiologists reviewing with clinical follow-up results were used as the gold standard in this study.Diagnostic performance was evaluated by using the receiver operating characteristic(ROC)curve analysis and Delong-t test.For positive cases,the pulmonary artery obstruction index(PAOI)calculated by AI and manually were collected respectively and consistency analysis was performed.Results The area under the curve(AUC)of PE-AI,manual and combined diagnosis was 85.6％,90.8％and 95.1％,respectively,which differed significantly(P＜0.05).The reading time of PE-AI[(0.16±0.07)min]was significantly lower than the time of manual[(4.42±1.85)min,P＜0.001]and combined diagnosis[(4.58±1.84)min,P＜0.001].The PAOI measured by PE-AI and manually had high consistency(intraclass correlation efficient,ICC=0.80)in the subgroup analysis of confirmed cases.Conclusion AI can quickly identify pulmonary artery emboli in a short time and assist radiologists to improve diagnostic efficiency.At the same time,through the intelligent detection of PAOI,it is helpful for the risk stratification of patients with PE and optimizing the diagnosis and treatment pathway for pulmonary embolism.