Objective To compare the clinical efficacy of high-dose tigecycline(TGC)and polymyxin B(PMB)in the treatment of pulmonary infection due to carbapenem-resistant organism(CRO).Methods Clinical data of pa-tients with CRO pulmonary infection and received PMB or high-dose TGC combined with other antimicrobial treat-ment regimens in Department of Critical Care Medicine of Xiangya Hospital,Central South University from January 2019 to March 2022 were analyzed retrospectively,including basic information,pathogen detection results,antimi-crobial use regimen,clinical efficacy,30-day mortality,bacterial clearance rate,etc.Results A total of 173 pa-tients were included in analysis,with 103 in the TGC group and 70 in the PMB group.Compared with TGC group,PMB group had a higher score of acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)(25.0 vs 20.0,P＜0.001),but clinical efficacy rates were not statistically different(67.1％vs 52.4％,P=0.054).Stratified analysis revealed that when the APACHE Ⅱ score was ≥15 points,compared with TGC group(n=78),PMB group(n=66)had a higher APACHE Ⅱ score(27.0 vs 22.0,P=0.005)and a higher clinical efficacy rate(66.7％vs 47.4％,P=0.020).After adjusting confounding factors through logistic regression analysis,it was found that PMB treatment was a protective factor for clinical efficacy rate compared with TGC treatment.Conclusion For treating pulmonary infection caused by CRO in patients,PMB-based treatment regimen has a significant protec-tive effect on the clinical efficacy rate compared with the high-dose TGC-based treatment regimen.

Objective:To investigate the inhibitory effect of astragaloside Ⅳ(AS-Ⅳ)on cisplatin(CDDP)-induced liver injury in the mice,and to elucidate its possible mechanism.Methods:Forty male C57BL/6 mice with body weights of 18-22 g were randomly divided into control group,model group,AS-Ⅳ group and adenosine 5'-monophosphate-activated protein kinase(AMPK)inhibitor(Compound C)+AS-Ⅳ group.The mice in control group and model group were gavaged with the same volume of normal saline,and the drug was administered continuously for 9 d.The mice in AS-Ⅳ group and Compound C+AS-Ⅳ group were given AS-Ⅳ aqueous solution(150 mg·kg-1·d-1),respectively.On the 6th day of experiment,the mice in Compound C+AS-Ⅳ group were intraperitoneally injected with Compound C(20 mg·kg-1),and on the 7th day,except for control group,the mice in other groups were intraperitoneally injected with 20 mg·kg-1 CDDP to establish the mouse liver injury models,and the mice were sacrificed 48 h later.Serum and liver tissues were collected,and the levels of aspartate aminotransferase(AST)and alanine aminotransferase(ALT)in the serum of the mice,as well as the activities of superoxide dismutase(SOD)and catalase(CAT)and the levels of malondialdehyde(MDA)in the liver tissue of the mice in various groups were detected by kits.The pathomorphology of liver tissue of the mice in various groups were detected by HE staining.The expression levels of glutathione peroxidase 4(GPX4),ferritin heavy chain 1(FTH1)and ferroptosis inhibitory protein 1(FSP1)proteins in liver tissue of the mice in various groups were detected by immunohistochemical staining,and the expression levels of nuclear factor-E2-related factor 2(Nrf2),heme oxygenase-1(HO-1)and AMPK proteins in liver tissue of the mice in various groups were detected by Western blotting method.Results:Compared with control group,the levels of AST and ALT in serum of the mice in model group were increased(P＜0.01),the activities of SOD and CAT in the liver tissue were significantly decreased(P＜0.01),and the MDA level was increased(P＜0.01);compared with model group,the levels of AST and ALT in serum of the mice in AS-Ⅳ group were decreased(P＜0.01),the MDA level in the liver tissue was decreased(P＜0.01),and the activities of SOD and CAT were increased(P＜0.01);compared with AS-Ⅳ group(P＜0.01),the levels of AST and ALT in serum of the mice in Compound C+AS-Ⅳ group were increased(P＜0.01),the level of MDA in liver tissue was increased(P＜0.05),and the activities SOD and CAT were decreased(P＜0.01).The HE staining results showed that compared with control group,the liver damage degree of the mice in model group was enhanced,the hepatocyte arrangement was disordered,and some hepatocyte edema were increased;compared with model group,the liver morphology of the mice in AS-Ⅳ group returned to normal;compared with AS-Ⅳ group,the hepatocyte arrangement of the mice in Compound C+AS-Ⅳ group was disordered and the edges were blurred.The immunohistochemistry results showed that compared with control group,the expression levels of GPX4,FTH1 and FSP1 proteins in liver tissue of the mice in model group were decreased(P＜0.05);compared with model group,the expression levels of GPX4,FTH1 and FSP1 proteins in liver tissue of the mice in AS-Ⅳ group were increased(P＜0.05);compared with AS-Ⅳ group,the expression levels of GPX4,FTH1 and FSP1 proteins in liver tissue of the mice in Compound C+AS-Ⅳ group were decreased(P＜0.05 or P＜0.01).The Western blotting results showed that compared with control group,the expression levels of Nrf2,HO-1 and AMPK proteins in liver tissue of the mice in model group were decreased(P＜0.01);compared with model group,the expression levels of Nrf2,HO-1 and AMPK proteins in liver tissue of the mice in AS-Ⅳgroup were increased(P＜0.01);compared with AS-Ⅳ group,the expression levels of Nrf2,HO-1 and AMPK proteins in liver tissue of the mice in Compound C+AS-Ⅳ group were decreased(P＜0.01).Conclusion:AS-Ⅳ can alleviate the CDDP-induced liver injury,and its mechanism may be related to the regulation of AMPK/Nrf2/HO-1 signal pathway and ferroptosis by AS-Ⅳ.

OBJECTIVES: To investigate the expression of parathyroid hormone-like hormone (PTHLH) in hepatocellular carcinoma (HCC) and analyze its correlation with clinical prognosis, its regulatory effects on HCC cell behaviors, and the signaling pathways mediating its effects. METHODS: We analyzed the differential expression of PTHLH in HCC and adjacent tissues and its association with patient prognosis based on data from TCGA and GEO databases and from 70 HCC patients treated in our hospital. The effects of PTHLH knockdown and overexpression on proliferation, migration, and invasion of cultured HCC cells were investigated using CCK-8 assay, colony formation assay, Transwell migration and invasion assays, and the signaling pathways activated by PTHLH were detected using Western blotting. RESULTS: TCGA and GEO database analysis showed significant overexpression of PTHLH mRNA in HCC tissues, which was associated with poor prognosis of the patients (P<0.05). High PTHLH mRNA expression was a probable independent prognostic risk factor for HCC (P<0.05). In the clinical samples, PTHLH mRNA and protein expressions were significantly higher in HCC tissues than in the adjacent tissues (P<0.001 or 0.01). Univariate and multivariate Cox regression analyses suggested that high PTHLH mRNA expression was an independent risk factor to affect postoperative disease-free survival of HCC patients (P<0.05). The prognostic prediction model based on PTHLH mRNA expression showed an improved accuracy for predicting the risk of postoperative recurrence in HCC patients. In cultured HCC cells, PTHLH overexpression significantly promoted cell proliferation, colony formation, migration and invasion, and caused activation of the ERK/JNK signaling pathway in Huh7 and Hep3B cells. CONCLUSIONS High PTHLH expression promotes HCC progression and is associated with poor patient prognosis. Its pro-tumor effects may be mediated by activation of the ERK/JNK signaling pathway.
Humans ; Carcinoma, Hepatocellular/metabolism* ; Liver Neoplasms/metabolism* ; Prognosis ; Cell Proliferation ; Parathyroid Hormone-Related Protein/genetics* ; Cell Line, Tumor ; Cell Movement ; Disease Progression ; Signal Transduction ; Male ; RNA, Messenger/genetics* ; Female

OBJECTIVE: To explore the feasibility of incorporating simple bedside indicators into death predictive model for elderly critically ill patients based on interpretability machine learning algorithms, providing a new scheme for clinical disease assessment. METHODS: Elderly critically ill patients aged ≥ 65 years who were hospitalized in the intensive care unit (ICU) of Tacheng People's Hospital of Ili Kazak Autonomous Prefecture from June 2017 to May 2020 were retrospectively selected. Basic parameters including demographic characteristics, basic vital signs and fluid intake and output within 24 hours after admission, as well acute physiology and chronic health evaluation II (APACHE II), Glasgow coma score (GCS) and sequential organ failure assessment (SOFA) were also collected. According to outcomes in hospital, patients were divided into survival group and death group. Four datasets were constructed respectively, namely baseline dataset (B), including age, body temperature, heart rate, pulse oxygen saturation, respiratory rate, mean arterial pressure, urine output volume, infusion volume, and crystal solution volume; B+APACHE II dataset (BA), B+GCS dataset (BG), and B+SOFA dataset (BS). Then three machine learning algorithms, Logistic regression (LR), extreme gradient boosting (XGboost) and gradient boosting decision tree (GBDT) were used to develop the corresponding mortality predictive models within four datasets. The feature importance histogram of each prediction model was drawn by SHapley additive explanation (SHAP) method. The area under curve (AUC), accuracy and F1 score of each model were compared to determine the optimal prediction model and then illuminate the nomogram. RESULTS: A total of 392 patients were collected, including 341 in the survival group and 51 in the death group. There were statistically significant differences in heart rate, pulse oxygen saturation, mean arterial pressure, infusion volume, crystal solution volume, and etiological distribution between the two groups. The top three causes of death were shock, cerebral hemorrhage, and chronic obstructive pulmonary disease. Among the 12 prognostic models trained by three machine learning algorithms, overall performance of prognostic models based on B dataset was behind, whereas the LR model trained by BA dataset achieved the best performance than others with AUC of 0.767 [95% confidence interval (95%CI) was 0.692-0.836], accuracy of 0.875 (95%CI was 0.837-0.903) and F1 score of 0.190. The top 3 variables in this model were crystal solution volume with first 24 hours, heart rate and mean arterial pressure. The nomogram of the model showed that the total score between 150 and 230 were advisable. CONCLUSION The interpretable machine learning model including simple bedside parameters combined with APACHE II score could effectively identify the risk of death in elderly patients with critically illness.
Humans ; Critical Illness ; Machine Learning ; Aged ; Algorithms ; Intensive Care Units ; Retrospective Studies ; APACHE ; Prognosis ; Organ Dysfunction Scores ; Hospital Mortality ; Male ; Female

OBJECTIVES: To evaluate the osteogenic efficacy of three-dimensional printing individualized titanium mesh (3D-PITM) as a scaffold material in guided bone regeneration (GBR). METHODS: 1) Patients undergoing GBR for alveolar bone defects were enrolled as study subjects, and postoperative healing complications were recorded. 2) Postoperative cone beam computed tomography (CBCT) scans acquired at least 6 months post-surgery were used to calculate the percentage of actual bone formation volume. 3) Alveolar bone specimens were collected during the first-stage implant surgery for histomorphometric analysis. This analysis quantitatively measured the proportions of newly formed bone and newly formed unmineralized bone within the specimens. Specimens were categorized into three groups based on healing complications (good healing group, wound dehiscence group, 3D-PITM exposure group) to compare differences in the proportions of newly formed bone and newly formed unmineralized bone. RESULTS: 1) Twelve patients were included. Guided bone regeneration failed in one patient, and 3D-PITM exposure occurred in three patients (exposure rate: 25%). 2) The mean percentage of actual bone formation volume in the 11 successful guided bone regeneration cases was 95.23%±28.85%. 3) Histomorphometric analysis revealed that newly formed bone constituted 40.35% of the alveolar bone specimens, with newly formed unmineralized bone accounting for 13.84% of the newly formed bone. Intergroup comparisons showed no statistically significant differences (P>0.05) in the proportions of newly formed bone or newly formed unmineralized bone between the good healing group and the wound dehiscence group or the 3D-PITM exposure group. CONCLUSIONS 3D-PITM enables effective bone augmentation. Radiographic assessment demonstrated favorable bone formation volume, while histological analysis confirmed substantial formation of newly formed mineralized bone within the surgical site.
Humans ; Printing, Three-Dimensional ; Titanium ; Cone-Beam Computed Tomography ; Bone Regeneration ; Osteogenesis ; Surgical Mesh ; Tissue Scaffolds ; Alveolar Process/surgery* ; Adult ; Male ; Middle Aged ; Female ; Wound Healing ; Guided Tissue Regeneration, Periodontal/methods* ; Alveolar Bone Loss/surgery*

Organoids are three-dimensional (3D) cellular structures formed through the differentiation and self-organization of pluripotent stem cells or tissue-derived cells, showing considerable potential in the research on disease mechanism, personalized medicine, and developmental biology. However, the development of organoids is limited by the complex composition, batch-to-batch variations, and immunogenicity of basement-membrane matrix in the current culture system, which hinders the clinical translation and in vivo applications of organoids. Hydrogels are highly hydrated 3D polymer network materials, with modifiable mechanical and biochemical properties by engineering, representing an ideal alternative to basement-membrane matrix. This article reviews the research progress in engineered hydrogels with defined composition currently used in organoid culture. We introduce the structural characteristics and engineering design considerations of hydrogels, emphasize the latest research progress and specific application cases, and discuss the future development of these engineered hydrogels, provide valuable insights for the further advancement and optimization of engineered hydrogels for organoid.
Hydrogels/chemistry* ; Organoids/cytology* ; Tissue Engineering/methods* ; Humans ; Animals ; Pluripotent Stem Cells/cytology* ; Cell Culture Techniques, Three Dimensional/methods* ; Tissue Scaffolds

Objective To explore the relationship of EEG and IGF-1 and NSE with infarct size and NIHSS score in patients with acute cerebral infarction(ACI).Methods A total of 218 patients with freshly diagnosed ACI admitted in our department from August 2021 to December 2022 were enrolled,and according to the lesion volume,they were divided into large-,medium-and small-volume groups(63,103 and 52 cases,respectively).The(δ+θ)/(α+β)ratio(DTABR),brain-spine interface(BSI),and serum IGF-1 and NSE levels were measured in these patients.The cor-relation of the above indicators with the volume of infarct volume by MRI,and NIHSS score at baseline and at 2 and 4 weeks after rt-PA thrombolysis was analyzed.Results The medium-and large-volume groups had significantly lower serum IGF-1 level,and higher NSE level and in-creased DTABR and BSI values than the small-volume group(P＜0.05).When compared with the medium volume group,the serum IGF-1 level was obviously lower,and the NSE level and DTABR and BSI values were higher in the large-volume group(P＜0.05).The DTABR and BSI values and serum NSE level were positively correlated with the infarct size(r=0.563,P=0.000;r=0.318,P=0.038;r=0.673,P=0.000)and baseline NIHSS score(r=0.499,P=0.000;r=0.362,P=0.013;r=0.750,P=0.001).The serum IGF-1 level had a negative correlation with the infarct size(r=-0.572,P=0.000)and baseline NIHSS score(r=-0.438,P=0.001).In addi-tion,positive correlations were observed in DTABR and BSI values,serum NSE level and infarct size with the 2-week and 4-week NIHSS scores,while negative correlations were seen in the ser-um IGF-1 level with the NIHSS scores at the two time points(P＜0.05,P＜0.01).Conclusion EEG parameters,IGF-1 and NSE are significantly correlated with infarct size and NIHSS score af-ter thrombolysis in ACI patients.

Objective To explore the relationship of EEG and IGF-1 and NSE with infarct size and NIHSS score in patients with acute cerebral infarction(ACI).Methods A total of 218 patients with freshly diagnosed ACI admitted in our department from August 2021 to December 2022 were enrolled,and according to the lesion volume,they were divided into large-,medium-and small-volume groups(63,103 and 52 cases,respectively).The(δ+θ)/(α+β)ratio(DTABR),brain-spine interface(BSI),and serum IGF-1 and NSE levels were measured in these patients.The cor-relation of the above indicators with the volume of infarct volume by MRI,and NIHSS score at baseline and at 2 and 4 weeks after rt-PA thrombolysis was analyzed.Results The medium-and large-volume groups had significantly lower serum IGF-1 level,and higher NSE level and in-creased DTABR and BSI values than the small-volume group(P＜0.05).When compared with the medium volume group,the serum IGF-1 level was obviously lower,and the NSE level and DTABR and BSI values were higher in the large-volume group(P＜0.05).The DTABR and BSI values and serum NSE level were positively correlated with the infarct size(r=0.563,P=0.000;r=0.318,P=0.038;r=0.673,P=0.000)and baseline NIHSS score(r=0.499,P=0.000;r=0.362,P=0.013;r=0.750,P=0.001).The serum IGF-1 level had a negative correlation with the infarct size(r=-0.572,P=0.000)and baseline NIHSS score(r=-0.438,P=0.001).In addi-tion,positive correlations were observed in DTABR and BSI values,serum NSE level and infarct size with the 2-week and 4-week NIHSS scores,while negative correlations were seen in the ser-um IGF-1 level with the NIHSS scores at the two time points(P＜0.05,P＜0.01).Conclusion EEG parameters,IGF-1 and NSE are significantly correlated with infarct size and NIHSS score af-ter thrombolysis in ACI patients.

Objective To compare the clinical efficacy of high-dose tigecycline(TGC)and polymyxin B(PMB)in the treatment of pulmonary infection due to carbapenem-resistant organism(CRO).Methods Clinical data of pa-tients with CRO pulmonary infection and received PMB or high-dose TGC combined with other antimicrobial treat-ment regimens in Department of Critical Care Medicine of Xiangya Hospital,Central South University from January 2019 to March 2022 were analyzed retrospectively,including basic information,pathogen detection results,antimi-crobial use regimen,clinical efficacy,30-day mortality,bacterial clearance rate,etc.Results A total of 173 pa-tients were included in analysis,with 103 in the TGC group and 70 in the PMB group.Compared with TGC group,PMB group had a higher score of acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)(25.0 vs 20.0,P＜0.001),but clinical efficacy rates were not statistically different(67.1％vs 52.4％,P=0.054).Stratified analysis revealed that when the APACHE Ⅱ score was ≥15 points,compared with TGC group(n=78),PMB group(n=66)had a higher APACHE Ⅱ score(27.0 vs 22.0,P=0.005)and a higher clinical efficacy rate(66.7％vs 47.4％,P=0.020).After adjusting confounding factors through logistic regression analysis,it was found that PMB treatment was a protective factor for clinical efficacy rate compared with TGC treatment.Conclusion For treating pulmonary infection caused by CRO in patients,PMB-based treatment regimen has a significant protec-tive effect on the clinical efficacy rate compared with the high-dose TGC-based treatment regimen.

Objective:To explore the prognostic value of systemic immune-inflammatory index(SII)combined with tumor burden score (TBS) (hereinafter referred to as STS) in patients with intrahepatic cholangiocarcinoma (ICC) after radical resection, and to construct a nomogram model.Methods:The clinical data (including the degree of tumor differentiation, vascular cancer thrombus, and lymph node metastasis, etc.) of 258 ICC patients who received radical resection at People′s Hospital of Zhengzhou University (170 cases, training set) and Cancer Hospital of Zhengzhou University (88 cases, validation set) from January 1, 2016 to January 31, 2020 were retrospectively analyzed and graded by SII, TBS and STS. Multivariate Cox regression analysis were used to identify independent factors affecting the prognosis of patients with ICC. Kaplan-Meier survival curve and receiver operating characteristic curve (ROC) were drawn to evaluate the predictive efficiency of SII, TBS and STS in the overall survival of patients with ICC after radical resection. The nomogram prediction model was constructed and evaluate the performance of nomogram model using consistency index (C-index) and calibration curve.Results:Among 170 ICC patients in the training set, there were 106 cases of SII grade 1 and 64 cases of SII grade 2; 137 cases of TBS grade 1 and 33 cases of TBS grade 2; and 98 cases of STS grade 1, 47 cases of STS grade 2, and 25 cases of STS grade 3. Among 88 ICC patients in the validation set, there were 33 cases of SII grade 1 and 55 cases of SII grade 2; 66 cases of TBS grade 1 and 22 cases of TBS grade 2; and 30 case of STS grade 1, 39 cases of TBS grade 2, and 19 cases of TBS grade 3.The multivariate Cox regression analysis showed that tumor differentiation degree (highly differentiated vs. moderately differentiated HR=0.157, 95% confidence interval(95% CI) 0.045 to 0.546, highly differentiated vs. poorly differentiated HR=0.452, 95% CI 0.273 to 0.750), STS (grade 3 vs. grade 2 HR=1.966, 95% CI 1.148 to 3.469; grade 3 vs. grade 1 HR=1.405, 95% CI 0.890 to 2.216), vascular cancer thrombus ( HR=2.006, 95% CI 1.313 to 3.066), nerve invasion ( HR=1.865, 95% CI 1.221 to 2.850), and lymph node metastasis ( HR=1.802, 95% CI 1.121 to 2.896) were independent influencing factors of overall survival in ICC patients after radical resection (all P<0.05). The Kaplan-Meier survival curve showed that SII, TBS, and STS were independent influencing factors of overall survival in ICC patients (all P<0.05). The results of ROC analysis showed that the areas under the curve of SII, TBS and STS in predicting overall survival of ICC patients after radical resection were 0.566 (95% CI 0.479 to 0.652), 0.585 (95% CI 0.499 to 0.672), and 0.657 (95% CI 0.522 to 0.692), respectively. Tumor differentiation, vascular tumor thrombus, nerve invassion, lymph node metastasis, and STS were included to constract the nomogram model. The C-indexes of the training set and validation set based on the nomogram model were 0.792 (95% CI 0.699 to 0.825) and 0.776 (95% CI 0.716 to 0.833), respectively. The calibration curves of the survival rate of the training set and the validation set were close to the reference lines, and the nomogram model had better predictive ability in both the training set and the validation set. Conclusions:Preoperative STS grading is an effective and practical predictor of overall survival in ICC patients after radical section. Compared with SII and TBS alone, it has better predictive value for the prognosis of patients with ICC.