BACKGROUND: Immunosuppression is closely related to the pathogenesis of sepsis, but the underlying mechanisms have not yet been fully elucidated. In this study, we aimed to examine the role of the Sterile Alpha Motif, Src Homology 3 domain and nuclear localization signal 1 (SAMSN1) in sepsis and elucidate its potential molecular mechanism in sepsis induced immunosuppression. METHODS: RNA sequencing databases were used to validate SAMSN1 expression in sepsis. The impact of SAMSN1 on sepsis was verified using gene knockout mice. Flow cytometry was employed to delineate how SAMSN1 affects immunity in sepsis, focusing on immune cell types and T cell functions. Clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9)-mediated gene editing in RAW264.7 macrophages enabled interrogation of SAMSN1 's regulatory effects on essential macrophage functions, including cell proliferation and phagocytic capacity. The mechanism of SAMSN1 in the interaction between macrophages and T cells was investigated using the RAW264.7 cell line and primary cell lines. RESULTS: SAMSN1 expression was significantly increased in patients with sepsis and was positively correlated with sepsis mortality. Genetic deletion of Samsn1 in murine sepsis model improved T cell survival, elevated T cell cytolytic activity, and activated T cell signaling transduction. Concurrently, Samsn1 knockout augmented macrophage proliferation capacity and phagocytic efficiency. In macrophage, SAMSN1 binds to Kelch-like epichlorohydrin-associated protein 1 (KEAP1), causing nuclear factor erythroid 2-related factor 2 (NRF2) to dissociate from the KEAP1-NRF2 complex and translocate into the nucleus. This promotes the transcription of the coinhibitory molecules CD48/CD86/carcinoembryonic antigen related cell adhesion molecule 1 (CEACAM1), which bind to their corresponding receptors natural killer cell receptor 2B4/CD152/T cell immunoglobulin and mucin domain-containing protein 3 (TIM3) on the surface of T cells, inducing T-cell exhaustion. CONCLUSIONS SAMSN1 deletion augmented adaptive T cell immunity and macrophage phagocytic-proliferative dual function. Furthermore, it mediates the KEAP1-NRF2 axis, which affects the expression of coinhibitory molecules on macrophages, leading to T-cell exhaustion. This novel immunosuppression mechanism potentially provides a candidate molecular target for sepsis immunotherapy.
Animals ; NF-E2-Related Factor 2/metabolism* ; Mice ; Macrophages/immunology* ; Sepsis/metabolism* ; Kelch-Like ECH-Associated Protein 1/genetics* ; T-Lymphocytes/immunology* ; Humans ; Signal Transduction/physiology* ; RAW 264.7 Cells ; Mice, Knockout ; Mice, Inbred C57BL ; Male ; Flow Cytometry ; T-Cell Exhaustion

OBJECTIVE: Cigarette smoking exacerbates the progression of pulmonary tuberculosis (TB). The role of tertiary lymphoid structures (TLS) in chronic lung diseases has gained attention; however, it remains unclear whether smoking-exacerbated lung damage in TB is associated with TLS. This study aimed to analyze the characteristics of pulmonary TLS in smokers with TB and to explore the possible role of TLS in smoking-related lung injury in TB. METHODS: Lung tissues from 36 male patients (18 smokers and 18 non-smokers) who underwent surgical resection for pulmonary TB were included in this study. Pathological and immunohistological analyses were conducted to evaluate the quantity of TLS, and chest computed tomography (CT) was used to assess the severity of lung lesions. The correlation between the TLS quantity and TB lesion severity scores was analyzed. The immune cells and chemokines involved in TLS formation were also evaluated and compared between smokers and non-smokers. RESULTS: Smoker patients with TB had significantly higher TLS than non-smokers ( P < 0.001). The TLS quantity in both the lung parenchyma and peribronchial regions correlated with TB lesion severity on chest CT (parenchyma: r = 0.5767; peribronchial: r = 0.7373; both P < 0.001). Immunohistochemical analysis showed increased B cells, T cells, and C-X-C motif chemokine ligand 13 (CXCL13) expression in smoker patients with TB ( P < 0.001). CONCLUSION Smoker TB patients exhibited increased pulmonary TLS, which was associated with exacerbated lung lesions on chest CT, suggesting that cigarette smoking may exacerbate lung damage by promoting TLS formation.
Humans ; Male ; Tuberculosis, Pulmonary/immunology* ; Middle Aged ; Tertiary Lymphoid Structures/pathology* ; Adult ; Lung/pathology* ; Smoking/adverse effects* ; Smokers ; Aged ; Tomography, X-Ray Computed

Objective To report a case of synovial sarcoma of the liver and review the literature for improving the understanding of the disease.Methods The clinical data of a patient with liver synovial sarcoma admitted to the First Affiliated Hospital of Henan University were analyzed retrospectively.The imaging,pathological features,treatment and prognosis of this disease were summarized by searching the database(CNKI,Wanfang Data,PubMed,untill July 2022)and the literature results analyzed comprehensively.Results The patient was a 71-year-old female who was admitted to the hospital due to abdominal pain.Computed tomography(CT)scan showed a mass with mixed density in the right lobe and caudate lobe of the liver.The large cross section size was about 115 mm×87 mm and the mass showed continuous heterogeneous enhancement,being considered as malignant hepatic tumors with multiple metastasis of the liver and lung.Ultrasound-guided needle biopsy was performed,and microscopy showed the tumor cells were obvious atypical,and some were spindle-shaped.Immunohistochemistry showed that the patient was positive for vimentin(VIM),epithelial membrane antigen(EMA),methylation of histone at lysine 27(H3K27Me3),and negative for pan cytokeratin(CK-pan)and S-100,and pathological diagnosis of synovial sarcoma was made.The patient did not undergo subsequent treatment and was lost to follow-up after discharge.A total of 12 cases of hepatic synovial sarcoma were reported after searching the database.The clinical manifestations were abdominal pain or distention.The lesions were mostly located in the right lobe of the liver,usually large,heterogeneous density,and heterogeneous enhancement on enhanced CT or magnetic resonance imaging(MRI).Spindle-shaped cells were found at histopathologic examination.Immunohistochemistry showed the patient was positive for VIM,EMA,H3K27Me,B-cell leukemia/lymphoma-2(BCL-2)and transducer-like enhancer of split 1(TLE1).SS18-SSX fusion gene or SS18 gene isolation were detected.Eleven patients received surgical treatment,5 received adjuvant chemotherapy,and 4 had recurrence or metastasis during the follow-up period.Conclusions Synovial sarcoma of the liver is a rare malignant tumor of the liver.The clinical and imaging features are not specific.The diagnosis depends on pathology.At present,the main treatment is surgery,and comprehensive treatment such as adjuvant chemotherapy can be performed.The prognosis of the patient is poor.

Objective:To explore the early predictive value of amplitude-integrated electroencephalogram(aEEG) combined with general movements（GMs）assessment for motor development outcomes in infants with severe hyperbilirubinemia at 12 months of age.Methods:The clinical data of 125 cases of neonates with severe hyperbilirubinaemia admitted to the NICU at Inner Mongolia Medical University Hospital from January 2020 to June 2022 were retrospectively analyzed.The aEEG were performed within 24 h of admission；GMs assessment were carried out at the duration of hospital stay，when the serum bilirubin values decreased below phototherapy intervention value and the infant was stable. The patients were regularly followed-up until one-year-old to evaluate the predictive values by Griffiths Developmental Scale.Results:A total of 125 infants with severe hyperbilirubinemia were enrolled，including 82（65.6%）males and 73（58.4%）females，with the mean gestational age of（38.1±1.5）weeks，the mean birth weight of（3 169±573）g，and the mean serum bilirubin of（378.5±51.9）μmol/L. Of the 125 infants diagnosed by Griffiths assessment at the age of 12 months，normal in 86 cases（68.8%），and abnormal in 39 cases（31.2%）. GMs writhing phase assessment had a sensitivity of 100%, negative predictive value of 100% and specificity of 19.77% in predicting motor developmental outcome in neonates with severe hyperbilirubinaemia. The aEEG had a sensitivity of 92.31% and a negative predictive value of 94.92% in predicting motor developmental outcome in neonates with severe hyperbilirubinaemia, with a higher specificity of 65.12%. The sensitivity and negative predictive value of aEEG+GMs assessment for predicting motor developmental outcome in neonates with severe hyperbilirubinaemia were 87.18% and 92.42%, respectively, with the highest specificity of 70.93%.Conclusion:GMs writhing stage assessment, aEEG assessment, and aEEG combined with GMs early assessment have good predictive value for motor developmental outcomes in neonates with severe hyperbilirubinaemia.The aEEG combined with GMs assessment has a high specificity, which can improve the predictive effect of motor developmental outcomes in neonates with hyperbilirubinaemia.

OBJECTIVE To study material basis of Xianglian Pill(XLP)in vivo and in vitro using UPLC-Q-TOF-MS/MS technique,and to qualitatively analyze the main components of Xianglian Pill as well as the prototypical components and metabolites that were absorbed into the blood.METHODS A Thermo Accucore C18 column(2.1 mm×100 mm,2.6 μm)was used with 0.1%formic acid in water(A)-acetonitrile(B)as the mobile phase in a gradient elution mode,the column temperature was 40℃,and the flow rate was 0.4 mL·min-1 with the injection volume of 4 μL.The mass spectrometry information was collected by using the electros-pray ionization(ESI)ion source in the positive-negative ion scan mode.RESULTS By analyzing the precise relative molecular mass,retention times,secondary fragments and other mass spectrometry information of the components,and comparing them with the mass spectrometry information of the corresponding control products and relevant literature information,a total of 75 chemical compo-nents were finally identified in the extract of Xianglian Pill,including alkaloids,sesquiterpenoids,flavonoids,limonins and organic acids.In addition,16 prototypical components and 15 metabolites were identified in the plasma of the mice after the administration of the drug.Most of the prototypical components found in the plasma were alkaloids,and the metabolic pathways of these components in vivo were mainly hydroxylation,demethylation,reduction,hydrolysis,hydrogenation and glucuronidation.CONCLUSION The method can be used for the rapid identification of the external and internal components of Xianglian Pill,and its analytical results lay the foundation for further basic research on the pharmacological substances.

Objective To study placental microcirculation and microstructure of pregnant women with pregnancy-induced hyper-tension by using MRI intravoxel incoherent motion(IVIM)at plateau area.Methods A retrospective analysis was performed on 22 healthy pregnant women at third trimester with single birth and 20 pregnant women with pregnancy-induced hypertension.All subjects underwent ultrasound,routine MRI and IVIM examination.The D,D*,f values of the whole placental and various parts of the placental,estimated fetal weight(EFW)and postnatal weight were measured and recorded.The differences of two groups data were analyzed by independent sample t test or one-way analysis of variance,and then multiple comparisons of placental quantitative parameters between the two groups were analyzed by Bonferroni method.Results The fetal side and whole placental f values in healthy pregnant women at third trimester were higher than pregnancy-induced hypertension(P＜0.05),the maternal side and whole placental D values in healthy pregnant women at third trimester were higher than pregnancy-induced hypertension(P＜0.05),the EFW and fetal birth weight in healthy pregnant women at third trimester were higher than pregnancy-induced hypertension(P＜0.05).Conclusion IVIM can effectively evaluate placental blood flow microcirculation and microstructure with pregnancy-induced hypertension at plateau area,and provide a new proof for clinical evaluation of placental structure and function changes.

Using an integrated bioinformatics approach to find novel biomarkers that can predict asthma severity. From June 2022 to December 2022, this clinical medical study was conducted and completed in the Department of Allergy, Zhongnan Hospital of Wuhan University. The gene chip dataset GSE43696 was screened and downloaded from the high-throughput Gene Expression Omnibus (GEO) database, and the gene chip data preprocessing was completed using package "affy" in R and "rma" algorithm in turn. Use the the "edgeR" and "limma" packages to screen out the differentially expressed genes (DEGs) between normal controls, mild to moderate asthma patients and severe asthma patients, and then use the "clusterProfiler" package to perform GO enrichment analysis and KEGG pathway enrichment analysis of DEGs, finally use the STRING website to construct a protein-protein interaction (PPI) network of DEGs to further screen key genes. Using the R language "WGCNA" package, the weighted gene co-expression network analysis (WGCNA) was performed on the dataset GSE43696, and the modules significantly related to the severity of asthma were screened out, then the hub genes were obtained by intersecting the WGCNA analysis results with the DEGs screened by PPI. Datasets GSE43696 and GSE63142 were used to verify the expression of hub genes, and the diagnostic value was evaluated according to the ROC curve, then the potential function of hub genes in dataset GSE43696 was further clarified by gene set enrichment analysis (GSEA). The results showed that a total of 251 DEGs were screened, including 39 in the normal group and mild to moderate asthma group, 178 in the normal group and severe asthma group, and 34 in the mild to moderate asthma group and severe asthma group, mainly involved in biological processes such as response to toxic substance, response to oxidative stress, extracellular structure organization, extracellular matrix organization. Two modules significantly correlated with asthma severity were screened out (red module, P=7e-6, r=0.43; pink module, P=5e-8, r=-0.51), and finally six hub genes were obtained, including B3GNT6, CEACAM5, CCK, ERBB2, CSH1 and DPPA5. The comparison of gene expression levels and ROC curve analysis of datasets GSE43696 and GSE63142 further verified the six hub genes, which may associated with o-glycan biosynthesis, alpha linolenic acid metabolism, linoleic acid metabolism, pentose and glucoronate interconversions. In conclusion, through a variety of bioinformatics analysis methods, this study identified six hub genes significantly related to the severity of asthma, which potentially provided a new direction for the prediction and targeted therapy of asthma.
Humans ; Asthma/genetics* ; Computational Biology ; Hospitals

Using an integrated bioinformatics approach to find novel biomarkers that can predict asthma severity. From June 2022 to December 2022, this clinical medical study was conducted and completed in the Department of Allergy, Zhongnan Hospital of Wuhan University. The gene chip dataset GSE43696 was screened and downloaded from the high-throughput Gene Expression Omnibus (GEO) database, and the gene chip data preprocessing was completed using package "affy" in R and "rma" algorithm in turn. Use the the "edgeR" and "limma" packages to screen out the differentially expressed genes (DEGs) between normal controls, mild to moderate asthma patients and severe asthma patients, and then use the "clusterProfiler" package to perform GO enrichment analysis and KEGG pathway enrichment analysis of DEGs, finally use the STRING website to construct a protein-protein interaction (PPI) network of DEGs to further screen key genes. Using the R language "WGCNA" package, the weighted gene co-expression network analysis (WGCNA) was performed on the dataset GSE43696, and the modules significantly related to the severity of asthma were screened out, then the hub genes were obtained by intersecting the WGCNA analysis results with the DEGs screened by PPI. Datasets GSE43696 and GSE63142 were used to verify the expression of hub genes, and the diagnostic value was evaluated according to the ROC curve, then the potential function of hub genes in dataset GSE43696 was further clarified by gene set enrichment analysis (GSEA). The results showed that a total of 251 DEGs were screened, including 39 in the normal group and mild to moderate asthma group, 178 in the normal group and severe asthma group, and 34 in the mild to moderate asthma group and severe asthma group, mainly involved in biological processes such as response to toxic substance, response to oxidative stress, extracellular structure organization, extracellular matrix organization. Two modules significantly correlated with asthma severity were screened out (red module, P=7e-6, r=0.43; pink module, P=5e-8, r=-0.51), and finally six hub genes were obtained, including B3GNT6, CEACAM5, CCK, ERBB2, CSH1 and DPPA5. The comparison of gene expression levels and ROC curve analysis of datasets GSE43696 and GSE63142 further verified the six hub genes, which may associated with o-glycan biosynthesis, alpha linolenic acid metabolism, linoleic acid metabolism, pentose and glucoronate interconversions. In conclusion, through a variety of bioinformatics analysis methods, this study identified six hub genes significantly related to the severity of asthma, which potentially provided a new direction for the prediction and targeted therapy of asthma.
Humans ; Asthma/genetics* ; Computational Biology ; Hospitals

Objective: To methodically assess the clinical effectiveness and safety of robot-assisted total rectal mesenteric resection (RTME), laparoscopic-assisted total rectal mesenteric resection (laTME), and transanal total rectal mesenteric resection (taTME). Methods: A computer search was conducted on PubMed, Embase, Cochrane Library, and Ovid databases to identify English-language reports published between January 2017 and January 2022 that compared the clinical efficacy of the three surgical procedures of RTME, laTME, and taTME. The quality of the studies was evaluated using the NOS and JADAD scales for retrospective cohort studies and randomized controlled trials, respectively. Direct meta-analysis and reticulated meta-analysis were performed using Review Manager software and R software, respectively. Results: Twenty-nine publications comprising 8,339 patients with rectal cancer were ultimately included. The direct meta-analysis indicated that the length of hospital stay was longer after RTME than after taTME, whereas according to the reticulated meta-analysis the length of hospital stay was shorter after taTME than after laTME (MD=-0.86, 95%CI: -1.70 to -0.096, P=0.036). Moreover, the incidence of anastomotic leak was lower after taTME than after RTME (OR=0.60, 95%CI: 0.39 to 0.91, P=0.018). The incidence of intestinal obstruction was also lower after taTME than after RTME (OR=0.55, 95%CI: 0.31 to 0.94, P=0.037). All of these differences were statistically significant (all P<0.05). There were no statistically significant differences between the three surgical procedures regarding the number of lymph nodes cleared, length of the inferior rectal margin, or rate of positive circumferential margins (all P>0.05). An inconsistency test using nodal analysis revealed no statistically significant differences between the results of direct and indirect comparisons of the six outcome indicators (all P>0.05). Furthermore, we detected no significant overall inconsistency between direct and indirect evidence. Conclusion: taTME has advantages over RTME and laTME, in terms of radical and surgical short-term outcomes in patients with rectal cancer.
Humans ; Robotics ; Robotic Surgical Procedures/adverse effects* ; Network Meta-Analysis ; Retrospective Studies ; Postoperative Complications/etiology* ; Transanal Endoscopic Surgery/methods* ; Rectum/surgery* ; Rectal Neoplasms/pathology* ; Laparoscopy/methods* ; Treatment Outcome

Objective:To establish a method for correction of tail vein extravasation based on PET images and to improve the accuracy of SUV.Methods:The simulation method was established by phantom on Nano PET/CT and images were reconstructed by a three-dimensional ordered-subsets exception maximum algorithm. PET images were analyzed by using the Interview Fusion 1.0 software. The optimal scanning time and the ROI delineated method were found. The accuracy of the simulation method was verified by comparing the activity of simulation method with the mice tail activity measured by the dose calibrator directly on Kunming (KM) mouse ( n=11). Using the simulation method, the impact of extravasation on SUV was proved. Independent-sample t test was used to analyze data. Results:Ten minutes was selected as the optimal scanning time and SUV max 42% threshold was selected as the ROI delineated method. The specific correction formula was as follows: actual activity=image activity/(4.48× V+ 77.05)×100 (0.3 MBq/ml≤leakage concentration<6.5 MBq/ml); actual activity=image activity/(6.65× V+ 71.10)×100 (6.5 MBq/ml