Aim To investigate the mechanism of icar-itin(ICT)on D-galactose(D-gal)-induced TM4 ser-toli cell junctional function damage in vitro.Methods TM4 cells were divided into the normal control group and D-gal treatment group with different concentra-tions.The expression changes of TM 4 cell junction function-related proteins(ZO-1,Occludin,β-catenin and Cx43)and ERα/FAK signaling pathway-related proteins(ERα,FAK and pY397-FAK)were detected by Western blot.The concentration of ICT was screened by MTT method.TM4 cells were divided into normal control group,D-gal treatment group,and D-gal treatment+different concentrations of ICT group.The expression levels of the above proteins were detected by Western blot.Molecular docking was used to study the interaction between ERα and ICT,meanwhile predict the affinity between them.Finally,TM4 cells were di-vided into normal control group,D-gal treatment group,ERα inhibitor group,D-gal+ICT group,and ERα inhibitor+ICT group.The expression levels of the above proteins were detected by Western blot.Re-sults Compared with the normal control group,the ex-pression of junctional function-related proteins(ZO-1,Occludin,β-catenin and Cx43)and ERα/FAK signa-ling pathway-related proteins(ERα,FAK and pY397-FAK)were significantly down-regulated.After treat-ment with ICT,the expression of above proteins were significantly up-regulated.The docking results of ERα and ICT molecules revealed the formation of two hydro-gen bonds between Asp351 amino acid residue of ERα and ICT,with bond distances measuring 3.4? and 2.4?.Additionally,the docking binding energy be-tween them was found to be lower than-7 kcal·mol-1.After TM4 cells were treated with ERα inhibi-tor,the expression of above proteins and ERα/FAK signaling pathway-related proteins were significantly down-regulated,while the expression levels of the a-bove proteins did not change significantly after being given ICT protected group.Conclusions D-gal can cause damage to the junctional function of TM4 cells,and ICT can improve this damage,which may be related to the up-regulation of ERα/FAK signaling pathway.

Objective:To analyze the clinical characteristics and prognosis of patients with CD5+diffuse large B-cell lymphoma(DLBCL).Methods:The clinical data of 161 newly treated DLBCL patients in Gansu Provincial Hospital from January 2013 to January 2020 were retrospectively analyzed.According to CD5 expression,the patients were divided into CD5+group and CD5-group.The clinical characteristics and prognosis of the two groups were statistically analyzed.Results:The median age of patients in CD5+group was 62 years,which was higher than 56 years in CD5-group(P=0.048).The proportion of women in CD5+group was 62.96％,which was significantly higher than 41.79％in CD5-group(P=0.043).The proportion of patients with IPI score＞2 in CD5+group was 62.96％,which was higher than 40.30％in CD5-group(P=0.031).Survival analysis showed that the median overall survival and progression-free survival time of patients in CD5+group were 27(3-77)and 31(3-76)months,respectively,which were both shorter than 30(5-84)and 32.5(4-83)months in CD5-group(P=0.047,P=0.026).Univariate analysis showed that advanced age,positive CD5 expression,triple or double hit at initial diagnosis,high IPI score and no use of rituximab during chemotherapy were risk factors for the prognosis of DLBCL patients.Further Cox multivariate regression analysis showed that these factors were also independent risk factors except for advanced age.Conclusion:CD5+DLBCL patients have a worse prognosis than CD5-DLBCL patients.Such patients are more common in females,with advanced age and high IPI score,which is a special subtype of DLBCL.

One patient was admitted to a hospital due to"sepsis,chronic kidney disease,type 2 diabetes,shock,and cerebral infarction".Patient's blood specimen was taken for clinical examination.Aerobic and anaerobic culture results of catheter blood and venous blood were both positive.The pathogen was identified as Staphylococcus pas-teuri by VITEK MS,and the patient was diagnosed as catheter-related bloodstream infection caused by Staphylo-coccus pasteuri.Clinical empirical use of piperacillin for anti-infection treatment was ineffective,and vancomycin was eventually used for treatment based on in vitro antimicrobial susceptibility testing.Patient's condition improved after removing the venous catheter.There are currently no reported cases of Staphylococcus pasteuri in China.Ear-ly identification of pathogen and adjustment of treatment plans based on antimicrobial susceptibility testing results are crucial for effective treatment of this case.

Mutations in myosin heavy chain 7(MYH7)and myosin binding protein C3(MYBPC3)genes encoding thick filaments are the main cause of hypertrophic cardiomyopathy(HCM),while a small part of HCM is caused by mutations of troponin C1,slow skeletal and cardiac type(TNNC1),troponin T2,cardiac type(TNNT2),troponin I3,cardiac type(TNNI3),actin alpha cardiac muscle 1(ACTC1),and tropomyosin 1(TPM1)genes encoding thin filaments.In this review,we mainly introduce the detailed mechanism and research status of HCM caused by mutations of the gene encoding cardiomyocyte sarcomere in the past few years,in order to provide reference for further study of the pathogenesis and treatment of HCM.

Objective To quantitatively assess the influence of various factors on the pharmacokinetic parameters of propofol and to develop a propofol population pharmacokinetic model tailored for Chinese patients.Methods Thirty patients scheduled for selective abdominal surgeries received an anesthesia dose of propofol at 2.0 mg·kg-1.The concentration of propofol in collected venous blood samples was measured using liquid chromatography-tandem mass spectrometry.Polymorphisms in metabolizing enzyme genes were detected through Sanger sequencing technology.Pharmacokinetic parameters were computed,and models were constructed and evaluated using Phoenix Winnonlin software.Results Through software analysis,the drug's in vivo process was best described by a three-compartment model.The population mean values for the central compartment clearance rate(CL),shallow peripheral compartment clearance rate(Q2),deep peripheral compartment clearance rate(Q3),central compartment volume of distribution(V),shallow peripheral compartment volume of distribution(V2),and deep peripheral compartment volume of distribution(V3)were 1.71 L·min-1,1.31 L·min-1,1.51 L·min-1,5.92 L,19.86 L and 99.06 L,respectively.Body weight was identified as a significant covariate affecting CL and V,and was incorporated into the model.Conclusion The evaluation of the final model demonstrates its substantial predictive capability,offering directional guidance for the clinical administration of propofol.

ObjectiveCoronavirus is a class of long-standing pathogens, which are enveloped single-stranded positive-sense RNA viruses. The genome all encodes 4 structural proteins: spike protein (S), nucleocapsid protein (N), membrane protein (M), and envelope protein (E). The nucleocapsid protein (NP) serves as a key structural component of coronaviruses, playing a vital function in the viral life cycle. NP acts as an RNA-binding protein, with a critical role in identifying specific sequences within the viral genome RNA, facilitating the formation of ribonucleoprotein (RNP) complexes with viral RNA to stabilize the viral genome and contribute to viral particles assembly. The NP consists of two primary structural domains, the N-terminal domain (NTD) and the C-terminal domain (CTD). The NTD is primarily responsible for RNA binding, whereas the CTD is involved in polymerization. The N protein demonstrated to trigger the host immune response and to modulate the cell cycle of infected cells by interacting with host proteins. The NP, one of the most abundant protein in coronaviruses, is essential in understanding the pathogenic mechanism of coronaviruses through its interaction with host factors, which response for determining the virus pathogenicity. HCoV-229E is a widely distributed coronavirus that typically causes mild upper respiratory tract diseases, accounting for a significant portion of common cold cases. However, its pathogenicity is notably lower compared to other coronaviruses like MERS-CoV, SARS-CoV, and SARS-CoV-2. The exact molecular mechanism behind remains unexplained, and how HCoV-229E N protein influences virus replication, host antiviral immunity, and pathogenesis need to be further explored. MethodsProximity labeling-mass spectrometry technique and bioinformatics analysis were used to screen for potential host factors interacting with the NP of human coronavirus 229E (HCoV-229E). In this study, a recombinant adenovirus Ad-V5-NP^HCoV-229E-TurboID was constructed to express the fusion protein of HCoV-229E NP and biotin ligase (TurboID). A549 cells were infected with the Ad-V5-NP^HCoV-229E-TurboID. After 30 min biotin treatment, NP interacting proteins were labeled with biotin by biotin ligase, and subsequently isolated with streptavidin cross-linked magnetic beads. The potential interacting proteins were identified using label-free proteomic mass spectrometry and further validated through immunoprecipitation and immunofluorescence assays. ResultsWe identified a total of 584 potential interacting proteins. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis highlighted the enrichment of glycogen synthase kinase (GSK)3A and GSK3B in the glycolysis/gluconeogenesis pathway, indicating HCoV-229E NP connection to diabetes through aberrant activity. Moreover, SARS-CoV-2 infection can exacerbate hyperglycemia and metabolic dysregulation in diabetic individuals by activating the ACE2 receptor. Moreover, SARS-CoV-2 was observed to cause potentially harm to pancreatic β‑cells and leading to insulin deficiency, which not only worsens the condition of diabetic patients but also raises the possibility of new-onset diabetes in non-diabetic individuals. We demonstrated that GSK3A and GSK3B interacted with NP of HCoV-229E, suggesting that the NP may engage in various coronavirus pathogenic processes by interacting with GSK3. ConclusionThese findings suggest that proximity labeling-mass spectrometry technique is a valuable tool for identifying virus-host interaction factors, and lay the foundation for future investigations into the mechanisms underlying coronavirus replication, proliferation, and pathogenesis.

Objective: To observe the expansion rule of directional skin and soft tissue expander (hereinafter referred to as expander) in abdominal scar reconstruction. Methods: A prospective self-controlled study was conducted. Twenty patients with abdominal scar who met the inclusion criteria and admitted to Zhengzhou First People's Hospital from January 2018 to December 2020 were selected by random number table method, including 5 males and 15 females, aged 12-51 (31±12) years, with 12 patients of type Ⅰ scar and 8 patients of type Ⅱ scar. In the first stage, two or three expanders with rated capacity of 300-600 mL were placed on both sides of the scar, of which at least one expander had rated capacity of 500 mL (as the follow-up observation object). After the sutures were removed, water injection treatment was started, with the expansion time of 4 to 6 months. After the water injection volume reached 2.0 times of the rated capacity of expander, abdominal scar excision+expander removal+local expanded flap transfer repair was performed in the second stage. The skin surface area at the expansion site was measured respectively when the water injection volume reached 1.0, 1.2, 1.5, 1.8, and 2.0 times of the rated capacity of expander, and the skin expansion rate of the expansion site at corresponding multiples of expansion (1.0, 1.2, 1.5, 1.8, and 2.0 times) and adjacent multiple intervals (1.0-1.2, 1.2-1.5, 1.5-1.8, and 1.8-2.0 times) were calculated. The skin surface area of the repaired site at 0 (immediately), 1, 2, 3, 4, 5, and 6 months after operation, and the skin shrinkage rate of the repaired site at different time points (1, 2, 3, 4, 5, and 6 months after operation) and different time periods (0-1, 1-2, 2-3, 3-4, 4-5, and 5-6 months after operation) were calculated. Data were statistically analyzed with analysis of variance for repeated measurement and least significant difference-t test. Results: Compared with the expansion of 1.0 time ((287.6±2.2) cm² and (47.0±0.7)%), the skin surface area and expansion rate of the expansion site of patients ((315.8±2.1), (356.1±2.8), (384.9±1.6), and (386.2±1.5) cm², (51.7±0.6)%, (57.2±0.6)%, (60.4±0.6)%, and (60.5±0.6)%) were significantly increased when the expansion reached 1.2, 1.5, 1.8, and 2.0 times (with t values of 46.04, 90.38, 150.14, 159.55, 45.11, 87.83, 135.82, and 118.48, respectively, P<0.05). Compared with the expansion of 1.2 times, the skin surface area and expansion rate of the expansion site of patients were significantly increased when the expansion reached 1.5, 1.8, and 2.0 times (with t values of 49.82, 109.64, 122.14, 144.19, 49.51, and 105.85, respectively, P<0.05). Compared with the expansion of 1.5 times, the skin surface area and expansion rate of the expansion site of patients were significantly increased when the expansion reached 1.8 times (with t values of 38.93 and 39.22, respectively, P<0.05) and 2.0 times (with t values of 38.37 and 38.78, respectively, P<0.05). Compared with the expansion of 1.8 times, the skin surface area and expansion rate of the expansion site of patients both had no statistically significant differences when the expansion reached 2.0 times (with t values of 4.71 and 4.72, respectively, P>0.05). Compared with the expansion of 1.0-1.2 times, the skin expansion rate of the expansion site of patient was significantly increased when the expansion reached 1.2-1.5 times (t=6.95, P<0.05), while the skin expansion rate of the expansion site of patient was significantly decreased when the expansion reached 1.5-1.8 and 1.8-2.0 times (with t values of 5.89 and 40.75, respectively, P<0.05). Compared with the expansion of 1.2-1.5 times, the skin expansion rate of the expansion site of patient was significantly decreased when the expansion reached 1.5-1.8 and 1.8-2.0 times (with t values of 10.50 and 41.92, respectively, P<0.05). Compared with the expansion of 1.5-1.8 times, the skin expansion rate of the expansion site of patient was significantly decreased when the expansion reached 1.8-2.0 times (t=32.60, P<0.05). Compared with 0 month after operation, the skin surface area of the repaired site of patient at 1, 2, 3, 4, 5, and 6 months after operation was significantly decreased (with t values of 61.66, 82.70, 96.44, 102.81, 104.51, and 102.21, respectively, P<0.05). Compared with 1 month after operation, the skin surface area of the repaired site of patient was significantly decreased at 2, 3, 4, 5, and 6 months after operation (with t values of 37.37, 64.64, 69.40, 72.46, and 72.62, respectively, P<0.05), while the skin shrinkage rate was significantly increased (with t values of 32.29, 50.00, 52.67, 54.76, and 54.62, respectively, P<0.05). Compared with 2 months after operation, the skin surface area of the repaired site of patient was significantly decreased at 3, 4, 5, and 6 months after operation (with t values of 52.41, 60.41, 70.30, and 65.32, respectively, P<0.05), while the skin shrinkage rate was significantly increased (with t values of 52.97, 59.29, 69.68, and 64.50, respectively, P<0.05). Compared with 3 months after operation, the skin surface area of the repaired site of patient was significantly decreased at 4, 5, and 6 months after operation (with t values of 5.53, 38.00, and 38.52, respectively, P<0.05), while the skin shrinkage rate was significantly increased (with t values of 25.36, 38.59, and 37.47, respectively, P<0.05). Compared with 4 months after operation, the skin surface area (with t values of 41.10 and 50.50, respectively, P>0.05) and skin shrinkage rate (with t values of 48.09 and 50.00, respectively, P>0.05) of the repaired site of patients at 5 and 6 months after operation showed no statistically significant differences. Compared with 5 months after operation, the skin surface area and skin shrinkage rate of the repaired site of patient at 6 months after operation showed no statistically significant differences (with t values of 9.40 and 9.59, respectively, P>0.05). Compared with 0-1 month after operation, the skin shrinkage rate of the repaired site of patient at 1-2, 2-3, 3-4, 4-5, and 5-6 months after operation was significantly decreased (with t values of 13.56, 40.00, 49.21, 53.97, and 57.68, respectively, P<0.05). Compared with 1-2 months after operation, the skin shrinkage rate of the repaired site of patients at 2-3, 3-4, 4-5, and 5-6 months after operation was significantly decreased (with t values of 12.37, 27.72, 30.16, and 31.67, respectively, P<0.05). Compared with 2-3 months after operation, the skin shrinkage rate of the repaired site of patients at 3-4, 4-5, and 5-6 months after operation was significantly decreased (with t values of 33.73, 41.31, and 54.10, respectively, P<0.05). Compared with 3-4 months after operation, the skin shrinkage rate of the repaired site of patient at 4-5 and 5-6 months after operation showed no statistically significant differences (with t values of 10.90 and 23.60, respectively, P>0.05). Compared with 4-5 months after operation, the skin shrinkage rate of the repaired site of patient at 5-6 months after operation showed no statistically significant difference (t=20.90, P>0.05). Conclusions: The expander can effectively expand the abdominal skin, thus repairing the abdominal scar deformity. Maintained expansion for one month after the water injection expansion reaches 1.8 times of the rated capacity of the expander can be set as a phase Ⅱ operation node.
Female ; Male ; Humans ; Cicatrix/surgery* ; Prospective Studies ; Tissue Expansion Devices ; Skin ; Abdominal Wall

Aim To study the effects of high-fat diet on testicular germ cell apoptosis in mice through endoplasmic reticulum stress. Methods C57BL/6J male mice were assigned into normal group and high-fat diet group randomly, with six mice in each group. The mice in normal group or high-fat diet group were fed with regular or high-fat diet continuously for five months. The mice were weighed, anesthetized, and euthanized to collect testicular and epididymal tissue for analysis. The testicular tissue was weighed and their indices were calculated. Epididymal tissue was collected for semen analysis. The morphological alterations of testicular tissue were observed using hematoxylin-eosin ( HE ) staining. The apoptosis of germ cells was detected by TUNEL staining and the apoptotic indices were calculated. The expression levels of apoptosis and endoplasmic reticulum stress-related proteins in testicular tissue were detected by Western blot. The protein expression and localization of GRP78 in testicular tissue were further detected by immunofluorescence. Results The results showed that compared to the normal group, the high-fat diet group had a significant increase in body weight, a significant decrease in testicular index, sperm concentration, and sperm vability, loose arrangement of germ cells, significant thinning of the seminiferous epithelium, no significant change in the diameter of seminiferous tubules, a significant increase in germ cell apoptosis , with an increased apoptosis index, and significant increase in expression of Bax and cleaved-caspase-12,and a significant decrease in Bcl-2 protein expression. The expression levels of GRP78 , p-IREl, XBP1, and ATF6a proteins were significantly up-regulated, while p-PERK, p-eIF2a, ATF4 protein expression showed no significant changes. Immunofluorescence results further showed a significant increase in the expression of GRP78 protein in the testicular tissue,with no significant changes in the expression location. Conclusions High-fat diet can induce the apoptosis of mouse testicular germ cells, and the mechanism may be related to the activation of endoplasmic reticulum stress IRE1 and ATF6 signaling pathway.

Aim To investigate the role of autophagy in the dysfunction of testicular TM4 cell junction induced by ERα down-regulation. Methods TM4 cells were treated with different concentrations of E R a inhibitor ICI182780 (ICI), and the proliferative activity of TM4 cells was detected by CCK-8 method. The number and morphological changes of TM4 cells were observed by light microscope. The levels of E R a, junction function related proteins and autophagy marker proteins were detected by Western blot. The expression and localization of Cx43 were detected by immunofluorescence staining. The cells were treated with chloroquine (CQ) and ICI for 24 h. The expression levels of autophagy and junction function related proteins were detected by Western blot. Results When ICI concentration was 50 nmol • L ~ or above, the cell viability decreased significantly. The increase of cell vacuoles in ICI group was observed by light microscope. Compared with normal control group, the protein expression levels of E R a, ZO-1, occludin, claudin-11, p-catenin and Cx43 in ICI groups significantly dropped, while the expression levels of N-cadherin and E-cadherin had no significant changes; LC3 II significantly rose, while p62 expression significantly fell. The results of immunofluorescence showed that the fluorescence expression of Cx43 in ICI group decreased significantly, but the position of CX43 did not change significantly. Compared with ICI group, the expression levels of LC3 II, p62, Cx43, ZO-1 and β-Catenin significantly increased. Conclusions The down-regulation of E R a leads to damage of TM4 cell junction function, which may be related to the activation of autophagy.

Objectives: To investigate the role of donor change in the second hematopoietic stem cell transplantation (HSCT2) for hematological relapse of malignant hematology after the first transplantation (HSCT1) . Methods: We retrospectively analyzed patients with relapsed hematological malignancies who received HSCT2 at our single center between Mar 1998 and Dec 2020. A total of 70 patients were enrolled[49 males and 21 females; median age, 31.5 (3-61) yr]. Results: Forty-nine male and 21 female patients were enrolled in the trial. At the time of HSCT2, the median age was 31.5 (3-61) years old. Thirty-one patients were diagnosed with acute myeloid leukemia, 23 patients with ALL, and 16 patients with MDS or other malignant hematology disease. Thirty patients had HSCT2 with donor change, and 40 patients underwent HSCT2 without donor change. The median relapse time after HSCT1 was 245.5 (26-2 905) days. After HSCT2, 70 patients had neutrophil engraftment, and 62 (88.6%) had platelet engraftment. The cumulative incidence of platelet engraftment was (93.1±4.7) % in patients with donor change and (86.0±5.7) % in patients without donor change (P=0.636). The cumulative incidence of CMV infection in patients with and without donor change was (64.0±10.3) % and (37.0±7.8) % (P=0.053), respectively. The cumulative incidence of grade Ⅱ-Ⅳ acute graft versus host disease was (19.4±7.9) % vs (31.3±7.5) %, respectively (P=0.227). The cumulative incidence of TRM 100-day post HSCT2 was (9.2±5.1) % vs (6.7±4.6) % (P=0.648), and the cumulative incidence of chronic graft versus host disease at 1-yr post-HSCT2 was (36.7±11.4) % versus (65.6±9.1) % (P=0.031). With a median follow-up of 767 (271-4 936) days, 38 patients had complete remission (CR), and three patients had persistent disease. The CR rate was 92.7%. The cumulative incidences of overall survival (OS) and disease-free survival (DFS) 2 yr after HSCT2 were 25.8% and 23.7%, respectively. The cumulative incidence of relapse, OS, and DFS was (52.6±11.6) % vs (62.4±11.3) % (P=0.423), (28.3±8.6) % vs (23.8±7.5) % (P=0.643), and (28.3±8.6) % vs (22.3±7.7) % (P=0.787), respectively, in patients with changed donor compared with patients with the original donor. Relapses within 6 months post-HSCT1 and with persistent disease before HSCT2 were risk factors for OS, DFS, and CIR. Disease status before HSCT2 and early relapse (within 6 months post-HSCT1) was an independent risk factor for OS, DFS, and CIR post-HSCT2. Conclusion: Our findings indicate that changing donors did not affect the clinical outcome of HSCT2.
Humans ; Male ; Female ; Adult ; Child, Preschool ; Child ; Adolescent ; Young Adult ; Middle Aged ; Retrospective Studies ; Hematologic Neoplasms/therapy* ; Hematopoietic Stem Cell Transplantation/adverse effects* ; Leukemia, Myeloid, Acute/therapy* ; Recurrence ; Graft vs Host Disease/etiology* ; Chronic Disease