Objective To explore the influencing factors of acute kidney injury in severe burn patients,and to construct a visual risk nomogram model.Methods A total of 390 patients with severe burn admitted to the Institute of Burn Frostbite and Tissue Function Reconstruction of Chinese People's Armed Police Force Specialty Medical Center from January 2018 to January 2022 were collected as an internal training data set,and 50 patients with severe burn admitted from February to December 2022 were collected as an external validation data set.The 390 patients of the internal training data set were divided into the acute kidney injury group and the non-acute kidney injury group according to the occurrence of acute kidney injury,and the baseline data of patients in the two groups were compared.Univariate and multivariate Logistic regression were used to analyze the risk factors of acute kidney injury in severe burn patients of the internal training data set,and a nomogram model was drawn.Subsequently,the model was verified both internally and externally.Kaplan-Meier analysis and Log-rank test were used to compare the 90-day survival rate of patients between the acute kidney injury group and the non-acute kidney injury group.Results The burn area(OR=1.18,95%CI:1.06 to 2.36,P=0.004),sequential organ failure assessment(SOFA)score(OR=1.81,95%CI:1.21 to 5.92,P<0.001),inhalation injury(OR=3.21,95%CI:1.23 to 6.35,P<0.001),neutrophil to lymphocyte ratio(NLR)(OR=1.22,95%CI:1.05 to 3.65,P<0.001)and albumin(ALB)(OR=0.78,95%CI:0.57 to 0.92,P=0.011)were the independent risk factors for the development of acute kidney injury in severe burn patients.The nomogram model was established by the above factors.The area under the receiver operating characteristic curve(AUC)of the internal training data set was 0.833(95%CI:0.752 to 0.935),the sensitivity was 81.2%,and the specificity was 83.2%.The AUC of the external validation data set was 0.842(95%CI:0.762 to 0.912),the sensitivity 87.2%,and the specificity was 78.7%.The 90-day survival rate of patients in the acute kidney injury group after burns was significantly lower than that in the non-acute kidney injury group(P<0.001).Conclusion Larger burn area,higher SOFA score,combined inhalation injury,increased NLR,and decreased ALB level are the risk factors for the occurrence of acute kidney injury in severe burn patients,which are related to the 90-day survival rate of patients after burns.The nomogram model based on the risk factors can provide certain reference for clinical individualized prevention and treatment of acute kidney injury in severe burn patients.

Objective To explore the influencing factors of acute kidney injury in severe burn patients,and to construct a visual risk nomogram model.Methods A total of 390 patients with severe burn admitted to the Institute of Burn Frostbite and Tissue Function Reconstruction of Chinese People's Armed Police Force Specialty Medical Center from January 2018 to January 2022 were collected as an internal training data set,and 50 patients with severe burn admitted from February to December 2022 were collected as an external validation data set.The 390 patients of the internal training data set were divided into the acute kidney injury group and the non-acute kidney injury group according to the occurrence of acute kidney injury,and the baseline data of patients in the two groups were compared.Univariate and multivariate Logistic regression were used to analyze the risk factors of acute kidney injury in severe burn patients of the internal training data set,and a nomogram model was drawn.Subsequently,the model was verified both internally and externally.Kaplan-Meier analysis and Log-rank test were used to compare the 90-day survival rate of patients between the acute kidney injury group and the non-acute kidney injury group.Results The burn area(OR=1.18,95%CI:1.06 to 2.36,P=0.004),sequential organ failure assessment(SOFA)score(OR=1.81,95%CI:1.21 to 5.92,P<0.001),inhalation injury(OR=3.21,95%CI:1.23 to 6.35,P<0.001),neutrophil to lymphocyte ratio(NLR)(OR=1.22,95%CI:1.05 to 3.65,P<0.001)and albumin(ALB)(OR=0.78,95%CI:0.57 to 0.92,P=0.011)were the independent risk factors for the development of acute kidney injury in severe burn patients.The nomogram model was established by the above factors.The area under the receiver operating characteristic curve(AUC)of the internal training data set was 0.833(95%CI:0.752 to 0.935),the sensitivity was 81.2%,and the specificity was 83.2%.The AUC of the external validation data set was 0.842(95%CI:0.762 to 0.912),the sensitivity 87.2%,and the specificity was 78.7%.The 90-day survival rate of patients in the acute kidney injury group after burns was significantly lower than that in the non-acute kidney injury group(P<0.001).Conclusion Larger burn area,higher SOFA score,combined inhalation injury,increased NLR,and decreased ALB level are the risk factors for the occurrence of acute kidney injury in severe burn patients,which are related to the 90-day survival rate of patients after burns.The nomogram model based on the risk factors can provide certain reference for clinical individualized prevention and treatment of acute kidney injury in severe burn patients.

Glutamine provides carbon and nitrogen to support the proliferation of cancer cells. However, the precise reason why cancer cells are particularly dependent on glutamine remains unclear. In this study, we report that glutamine modulates the tumor suppressor F-box and WD repeat domain-containing 7 (FBW7) to promote cancer cell proliferation and survival. Specifically, lysine 604 (K604) in the sixth of the 7 substrate-recruiting WD repeats of FBW7 undergoes glutaminylation (Gln-K604) by glutaminyl tRNA synthetase. Gln-K604 inhibits SCFFBW7-mediated degradation of c-Myc and Mcl-1, enhances glutamine utilization, and stimulates nucleotide and DNA biosynthesis through the activation of c-Myc. Additionally, Gln-K604 promotes resistance to apoptosis by activating Mcl-1. In contrast, SIRT1 deglutaminylates Gln-K604, thereby reversing its effects. Cancer cells lacking Gln-K604 exhibit overexpression of c-Myc and Mcl-1 and display resistance to chemotherapy-induced apoptosis. Silencing both c-MYC and MCL-1 in these cells sensitizes them to chemotherapy. These findings indicate that the glutamine-mediated signal via Gln-K604 is a key driver of cancer progression and suggest potential strategies for targeted cancer therapies based on varying Gln-K604 status.
Glutamine/metabolism* ; Myeloid Cell Leukemia Sequence 1 Protein/genetics* ; Humans ; Proto-Oncogene Proteins c-myc/genetics* ; Cell Proliferation ; Signal Transduction ; Neoplasms/pathology* ; F-Box-WD Repeat-Containing Protein 7/genetics* ; Cell Survival ; Cell Line, Tumor ; Apoptosis

Objective To investigate the pharmacokinetics of fospropofol disodium and its active metabolite propofol in pregnant rats.Methods A liquid chromatography tandem mass spectrometry(LC-MS/MS)method for simultaneous determination of fospropofol disodium and propofol in plasma of SD rats was establish and investigated methodologically.Pregnant SD rats were given 120 mg·kg-1 fospropofol disodium intravenously,and blood was taken from the inner canthus before administration and 3,6,10,15,30,45,60,90,120,150min after administration.Plasma drug concentration was determined by LC-MS/MS method,and pharmacokinetic parameters of fospropofol disodium and propofol were calculated by DAS software.Results The standard curve equations of fospropofol disodium and propofol were y=0.77x+0.08(r=0.997 2)and y=8.90 × 10-3x+4.70 × 10-3(r=0.997 1),and the linear ranges were 0.2-250.0 μg·mL-1 and 1.0-80.0 μg·mL-1.After intravenous administration of fospropofol disodium,the tmax of propofol was(9.50±3.33)min,theCmaxof fospropofol disodium and propofol were(349.50±154.10)and(28.33±15.30)μg·mL-1,t1/2 was(24.35±11.33)and(43.87±4.86)min,and AUC0→t were(79.40±21.53)and(25.13±15.71)μg·mL-1·h.Conclusion The LC-MS/MS method established in this study can simultaneously determine the concentration of fospropofol disodium and propofol in plasma of rats,and fospropofol disodium can also be quickly converted into active metabolite propofol after intravenous administration to pregnant rats.

Objective Recombinase-aided polymerase chain reaction(RAP)is a sensitive,single-tube,two-stage nucleic acid amplification method.This study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannan-binding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with RAP. Methods Recombinant plasmids were used to evaluate the assay sensitivity.Common blood influenza bacteria were used for the specific detection.Simulated and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCR(M-RAP)and quantitative PCR(qPCR)assays.Kappa analysis was used to evaluate the consistency between the two assays. Results The M-RAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial species.The M-RAP assay obtained results for<10 CFU/mL pathogens in the blood within 4 h,with higher sensitivity than qPCR.M-RAP and qPCR for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(P<0.05). Conclusion An M-RAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.

Objective To investigate the pharmacokinetics of fospropofol disodium and its active metabolite propofol in pregnant rats.Methods A liquid chromatography tandem mass spectrometry(LC-MS/MS)method for simultaneous determination of fospropofol disodium and propofol in plasma of SD rats was establish and investigated methodologically.Pregnant SD rats were given 120 mg·kg-1 fospropofol disodium intravenously,and blood was taken from the inner canthus before administration and 3,6,10,15,30,45,60,90,120,150min after administration.Plasma drug concentration was determined by LC-MS/MS method,and pharmacokinetic parameters of fospropofol disodium and propofol were calculated by DAS software.Results The standard curve equations of fospropofol disodium and propofol were y=0.77x+0.08(r=0.997 2)and y=8.90 × 10-3x+4.70 × 10-3(r=0.997 1),and the linear ranges were 0.2-250.0 μg·mL-1 and 1.0-80.0 μg·mL-1.After intravenous administration of fospropofol disodium,the tmax of propofol was(9.50±3.33)min,theCmaxof fospropofol disodium and propofol were(349.50±154.10)and(28.33±15.30)μg·mL-1,t1/2 was(24.35±11.33)and(43.87±4.86)min,and AUC0→t were(79.40±21.53)and(25.13±15.71)μg·mL-1·h.Conclusion The LC-MS/MS method established in this study can simultaneously determine the concentration of fospropofol disodium and propofol in plasma of rats,and fospropofol disodium can also be quickly converted into active metabolite propofol after intravenous administration to pregnant rats.

Objective To develop an intelligent positioning system for mobile medical equipment in the operating room based on Bluetooth technology to enhance medical equipment management efficiency.Methods The intelligent positioning system for mobile medical equipment used received signal strength indication(RSSI)algorithm and multi-gateway trajectory filtering algorithm to realize Bluetooth positioning,which was composed of Bluetooth gateways,Bluetooth beacons,Bluetooth labels and a background data processing platform.The Bluetooth gateway consisted of an active power over ethernet(POE)module,a DC power module,a CPU,a Wi-Fi module and a Bluetooth module;the Bluetooth beacon included a beacon control unit,a Bluetooth transmitter module and a Bluetooth receiver module;the Bluetooth label was made up of a microcontroller unit(MCU),a Bluetooth module,an anti-temper switch and a accelerometer;the data processing platform had the front end developed with Vue architecture and the back end with Java language.Results The system developed could accurately locate the medical equipment in the operating room without electromagnetic interference to other medical devices.Conclusion The system developed gains advantages in high positioning accuracy,low electromagnetic interference,high stability and reliability and low cost,which improves the positioning and management efficiency of medical equipment under the premise of ensuring safety.[Chinese Medical Equipment Journal,2023,44(9):29-32]

OBJECTIVE: To investigate the effect of teriparatide on the differentiation of MC3T3-E1 cells in high-glucose microenvironment and explore the possible mechanism. METHODS: MC3T3-E1 cells cultured in normal glucose or high-glucose (25 mmol/L) medium were treated with 10 nmol/L teriparatide with or without co-treatment with H-89 (a PKA inhibitor). CCK-8 assay was used to detect the changes in cell proliferation, and cAMP content in the cells was determined with ELISA. Alkaline phosphatase (ALP) activity and mineralized nodules in the cells were detected using ALP kit and Alizarin red staining, respectively. The changes in cell morphology were detected by cytoskeleton staining. Real-time PCR was used to detect the mRNA expressions of PKA, CREB, RUNX2 and Osx in the treated cells. RESULTS: The treatments did not result in significant changes in proliferation of MC3T3-E1 cells (P > 0.05). Compared with the cells in routine culture, the cells treated with teriparatide showed significantly increased cAMP levels (P < 0.05) with enhanced ALP activity and increased area of mineralized nodules (P < 0.05). Teriparatide treatment also resulted in more distinct visualization of the cytoskeleton in the cells and obviously up-regulated the mRNA expressions of PKA, CREB, RUNX2 and Osx (P < 0.05). The opposite changes were observed in cells cultured in high glucose. In cells exposed to high glucose, treatment with teriparatide significantly increased cAMP levels (P < 0.05), ALP activity and the area of mineralized nodules (P < 0.05) and enhanced the clarity of the cytoskeleton and mRNA expressions of PKA, CREB, RUNX2 and Osx; the effects of teriparatide was strongly antagonized by co-treatment with H-89 (P < 0.05). CONCLUSION Teriparatide can promote osteoblast differentiation of MC3T3-E1 cells in high-glucose microenvironment possibly by activating the cAMP/PKA/CREB signaling pathway.
Cell Differentiation ; Core Binding Factor Alpha 1 Subunit ; Glucose/pharmacology* ; Osteoblasts/drug effects* ; RNA, Messenger ; Signal Transduction ; Teriparatide ; Animals ; Mice ; Cell Line

Humans ; Consensus ; Hypersensitivity ; Desensitization, Immunologic/adverse effects* ; Immunotherapy/adverse effects* ; Injections, Subcutaneous ; Allergens