Objective To investigate the role of bone marrow mesenchymal stem cells derived from diabetic mice and their paracrine roles in inducing insulin resistance(IR).Methods The mouse model of diabetes mellitus was established,bone marrow mesenchymal stem cells(BMSC)were extracted and cultured,and the culture supernatant(M-BMSC-CS)was collected.(1)Cell experiment:HepG2 hepatocytes were divided into normal low-glycemic culture group[cultured with low-glycemic DMEM(5.55 mmol·L-1)],M-BMSC-CS experimental group(M-BMSC-CS 75 μL),and high-glycemic and high-lipid control group(given 25 mmol·L-1 high-glycemic DMEM+0.25 mmol·L-1 palmitic acid);(2)Animal experiments:Mice were divided into normal mice group(0.9％NaCl by intraperitoneal injection)and M-BMSC-CS-m group(M-BMSC-CS by intraperitoneal injection of normal mice(injection dose 0.2 mL/10 g)].Glucose intake was measured by glucose oxidase method.The fluorescence intensity of Glut2 protein was detected by immunofluorescence.The expression of insulin signaling pathway protein was detected by Western blot.Test oral glucose tolerance(OGTT)and insulin tolerance(ITT).Results The glucose intakes of the normal low-glucose culture group,the M-BMSC-CS experimental group and the high-glucose and high-lipid control group were(2.96±0.05),(1.64±0.28)and(1.42±0.32)mmol·L-1,respectively;the fluorescence expressions of glucose transporter 2(Glut2)were 53.21±2.70,30.95±3.39 and 34.96±7.60,respectively;the protein expression levels of phosphorylated insulin receptor substrate 1-ser307(p-IRS-1ser307)were 0.46±0.21,1.09±0.24 and 0.91±0.16,respectively;phosphorylated protein kinase(p-AKT)protein expression levels were 0.94±0.05,0.59±0.06 and 0.53±0.05;Glut2 protein expression levels were 1.08±0.14,0.58±0.14 and 0.62±0.09,respectively.The above indexes in M-BMSC-CS experimental group were statistically significant compared with those in normal low-glycemic culture group(all P＜0.05).Fasting blood glucose levels in the normal group and M-BMSC-CS-m group were(5.23±0.57)and(9.30±1.14)mmol·L-1;p-AKT protein expression level were 1.27±0.21 and 0.51±0.19;Glut2 protein expression level were 1.17±0.17 and 0.79±0.09,respectively.The above indexes in M-BMSC-CS-m group were significantly different from those in normal mouse group(P＜0.05).Conclusion BMSC culture supernatant from diabetic mice induced insulin resistance of normal HepG2 hepatocytes in vitro and normal mice in vivo.

In recent years, nucleic acid therapy, as a revolutionary therapeutic tool, has shown great potential in the treatment of genetic diseases, infectious diseases and cancer. Lipid nanoparticles (LNPs) are currently the most advanced mRNA delivery carriers, and their emergence is an important reason for the rapid approval and use of COVID-19 mRNA vaccines and the development of mRNA therapy. Currently, mRNA therapeutics using LNP as a carrier have been widely used in protein replacement therapy, vaccines and gene editing. Conventional LNP is composed of four components: ionizable lipids, phospholipids, cholesterol, and polyethylene glycol (PEG) lipids, which can effectively load mRNA to improve the stability of mRNA and promote the delivery of mRNA to the cytoplasm. However, in the face of the complexity and diversity of clinical diseases, the structure, properties and functions of existing LNPs are too homogeneous, and the lack of targeted delivery capability may result in the risk of off-targeting. LNPs are flexibly designed and structurally stable vectors, and the adjustment of the types or proportions of their components can give them additional functions without affecting the ability of LNPs to deliver mRNAs. For example, by replacing and optimizing the basic components of LNP, introducing a fifth component, and modifying its surface, LNP can be made to have more precise targeting ability to reduce the side effects caused by treatment, or be given additional functions to synergistically enhance the efficacy of mRNA therapy to respond to the clinical demand for nucleic acid therapy. It is also possible to further improve the efficiency of LNP delivery of mRNA through machine learning-assisted LNP iteration. This review can provide a reference method for the rational design of engineered lipid nanoparticles delivering mRNA to treat diseases.

Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria, Acinetobacter baumannii can still survive and acquire polymyxin resistance after complete loss of LPS. Previous studies of LPS-deficient Acinetobacter baumannii mostly focused on LPS-deficient strains induced by polymyxin, whose background was complex and unstable. To investigate LPS loss-mediated polymyxin resistant-Acinetobacter baumannii, this study constructed a stable and clear background LPS-deficient strain by knocking out lpxC gene in Acinetobacter baumannii ATCC 19606 with CIRSPR/Cas9, and then studied the phenotypic changes of the lpxC-deficient strain including morphology, growth rate, antibiotic susceptibility, virulence, membrane permeability, and membrane potential. Animal experiments were approved by the Animal Care and Welfare Committee Institute of Medicinal Biotechnology, CAMS and PUMC (approval number: IMB-20240119D₉). The results indicated that the lpxC gene of Acinetobacter baumannii ATCC 19606 was successfully knocked out. After losing the lpxC, the strain underwent the morphological change from rod-shaped to spherical. Furthermore, it leads to reduced growth rate, enhanced membrane permeability, decreased membrane potential, lower virulence, and increased antibiotic susceptibility to β-lactams, quinolones, aminoglycosides, macrolides, glycopeptides. The lpxC deletion results in significant changes in membrane homeostasis and adaptability of Acinetobacter baumannii. Understanding the phenotypic changes of colistin-resistant Acinetobacter baumannii mediated by LPS loss is useful for exploring the resistance mechanism of Acinetobacter baumannii and developing new therapeutic strategies.

Objective To explore the risk signals of adverse events(ADE)in the use of exenatide microspheres by the FDA adverse event reporting system(FAERS),and provide reference for clinical rational drug use and drug safety.Methods With exenatide microspheres as the target drug,the search keywords were Exenatide Microspheres for Injection,LY05006,AC 2 993 LAR and Bydureon.SAS software was used to extract the ADE report data from January 2,2012 to March 31,2023 in the FAERS database and the duplicates were removed.Data mining of exenatide microspheres-related ADE reports was performed by the reporting odds ratio method and the comprehensive standard method.Results A total of 27 248 exenatide microspheres-related ADE reports were retrieved,involving 27 SOCs,of which 4 719 were severe ADE reports.The reporting personnel were mainly consumers(18 435 cases,67.66%),the United States was the mainly reporting country(26 295 cases,96.50%).A total of 163 ADE risk signals were obtained by reporting odds ratio method and comprehensive standard method,including new adverse reactions such as abnormal blood cholesterol,elevated lipase and mixed hyperlipidemia.Conclusion Based on the FAERS database,the post-marketing ADE of exenatide microspheres was mined and analyzed,which could provide reference for clinical medication safety and improvement of patients'medication compliance.

Objective:To characterize the complete genome sequence and elucidate the structural features of norovirus (NoV) isolate SD20200267.Methods:The viral nucleic acid was extracted from patient samples, followed by amplification and sequencing for genotyping based on the nucleotide sequences. The metagenomic sequencing technology was utilized for whole genome sequencing, and subsequent analysis was performed on the acquired nucleotide sequences.Results:The complete genome sequence of the SD20200267 strain, spanning a total length of 7 465 nucleotides, was successfully obtained. The SD20200267 strain belongs to the GⅡ.12 and GⅡ.P16 genotypes in the VP1 and RdRp regions, respectively. The nucleotide sequence identity of SD20200267 strain with other GⅡ.12[P16] strains ranged from 96.0% to 97.3%, exhibiting 15 amino acid variations. The strain displayed evidence of recombination, with the recombination site located in the overlapping region of ORF1 and ORF2.Conclusions:SD20200267 is classified as a GⅡ.12[P16] strain, and recombination was observed in the overlapping region of ORF1 and ORF2.

Objective To investigate the relationship between the injury and ferroptosis of bone marrow mesenchymal stem cells(BMSCs)induced by high glucose and high fat.Methods BMSCs were divided into normal group(5.50 mmol·L-1 glucose)and high glucose and high fat(HGHF)group(25.00 mmol·L-1 glucose+0.25 mmol·L-1 palmitic acid).Assessment of cellular aging via β-galactosidase staining;enzyme linked immunosorbent assay(ELISA)were used to detect tumor necrosis factor-α(TNF-α),interleukin-10(IL-10)release levels;glutathione(GSH),malondialdehyde(MDA)and ferrous ion(Fe2+)detection kits were used to detect ferroptosis related indicators;Western blotting was used to detect the expression of ferroptosis related signaling pathway protein acyl-CoA synthetase long chain family member 4(ACS14)/arachidonate 15-lipoxygenase(ALOX15)/glutathione peroxidase 4(GPX4).Results The senescence rates of normal group HGHF group were(6.80±1.60)％and(13.00±1.58)％;the levels of TNF-α were(122.54±3.94)and(169.77±2.89)pg·mL-1;the levels of IL-10 were(155.16±3.97)and(105.15±7.30)pg·mL-1;GSH levels were 4.30±0.33 and 1.55±0.14;MDA levels were 2.94±0.10 and 5.84±0.10;Fe2+levels were 6.22±0.35 and 16.13±0.36;the relative expression levels of ACSL4 protein were 0.42±0.05 and 0.84±0.10;the relative ALOX15 protein were 0.61±0.25 and 1.06±0.11;the relative expression levels of GPX4 protein were 1.13±0.17 and 0.33±0.08,respectively.The above indexes in the HGHF group were significantly different from those in the normal group(all P＜0.05).Conclusion 25 mmol·L-1 glucose combined with 0.25 mmol·L-1 palmitic acid for 24 h can be used as a suitable condition to induce BMSCs injury.ferroptosis plays an important role in BMSCs injury induced by high glucose and high fat.

Objective:To develop a prognostic prediction model for patients with colorectal cancer based on a peripheral blood cell composite score (PBCS) system.Methods:This retrospective observational study included patients who had primary colorectal cancer without distant metastasis, who did not undergo radiotherapy or chemotherapy before surgery, who did not receive leukocyte or platelet-raising therapy within 1 month before surgery, and whose postoperative pathology confirmed colorectal adenocarcinoma with complete tumor resection. Patients with severe anemia, infection, or hematologic diseases before surgery, as well as those with severe heart, lung, or other important organ diseases or concurrent malignant tumors, were excluded. In total, 1021 patients with colorectal cancer who underwent surgical treatment in the Department of Gastrointestinal Surgery of the Fourth Hospital of Hebei Medical University from April 2018 to April 2020 were retrospectively included as the training set (766 patients) and the internal validation set (255 patients). Additionally, using the same criteria, 215 patients with colorectal cancer who underwent surgical treatment in another treatment group from March 2015 to December 2020 were selected as the external validation set. The "surv_cutpoint" function in R software was used to analyze the optimal cut-off values of neutrophils, lymphocytes, and platelets, and a PBCS system was established based on the optimal cut-off values. The scoring rules of the PBCS system were as follows: Neutrophils and platelets below the optimal cut-off value = 1 point, otherwise 0 points; Lymphocytes above the optimal cut-off value = 1 point, otherwise 0 points. The scores of the three cell types were added together to obtain the PBCS. Univariate and multivariate Cox regression analyses were performed to explore the correlation between patients' clinicopathological features and prognosis, and a nomogram was constructed based on the Cox regression analysis to predict patients' prognosis. The accuracy of the nomogram prediction model was validated using the C-index, calibration curve, and decision curve analysis.Results:The optimal cut-off values for neutrophils, lymphocytes, and platelets were 4.40×10 9/L, 1.41×10 9/L, and 355×10 9/L, respectively. The patients were divided into high and low groups according to the optimal cut-off values of these cells. Survival curve analysis showed that a high lymphocyte count (training set: P=0.042, internal validation: P=0.010, external validation: P=0.029), low neutrophil count (training set: P=0.035, internal validation: P=0.001, external validation: P=0.024), and low platelet count (training set: P=0.041, internal validation: P=0.030, external validation: P=0.024) were associated with prolonged overall survival (OS), with statistically significant differences in all cases. Survival analysis of different PBCS groups showed that patients with a high PBCS had longer OS than those with a low PBCS ( P<0.05). Univariate and multivariate Cox regression analysis results showed that aspirin use history, vascular thrombus, neural invasion, CA19-9, N stage, operation time, M stage, and PBCS were independent factors affecting OS (all P<0.05). The PBCS was also an independent factor affecting disease-specific survival ( P<0.05), but not progression-free survival ( P>0.05). The above independent risk or protective factors were included in R software to construct a nomogram for predicting OS. The C-index (0.873), calibration curve, and decision curve analysis (threshold probability: 0.0%–75.2%) all indicated that the nomogram prediction model had good predictive performance for OS. Conclusion:This study demonstrates that the PBCS constructed based on preoperative peripheral blood levels of neutrophils, lymphocytes, and platelets is an independent factor associated with the prognosis of patients with colorectal cancer. The nomogram model constructed based on this score system exhibits good predictive efficacy for the prognosis of these patients.

Objective:To develop a prognostic prediction model for patients with colorectal cancer based on a peripheral blood cell composite score (PBCS) system.Methods:This retrospective observational study included patients who had primary colorectal cancer without distant metastasis, who did not undergo radiotherapy or chemotherapy before surgery, who did not receive leukocyte or platelet-raising therapy within 1 month before surgery, and whose postoperative pathology confirmed colorectal adenocarcinoma with complete tumor resection. Patients with severe anemia, infection, or hematologic diseases before surgery, as well as those with severe heart, lung, or other important organ diseases or concurrent malignant tumors, were excluded. In total, 1021 patients with colorectal cancer who underwent surgical treatment in the Department of Gastrointestinal Surgery of the Fourth Hospital of Hebei Medical University from April 2018 to April 2020 were retrospectively included as the training set (766 patients) and the internal validation set (255 patients). Additionally, using the same criteria, 215 patients with colorectal cancer who underwent surgical treatment in another treatment group from March 2015 to December 2020 were selected as the external validation set. The "surv_cutpoint" function in R software was used to analyze the optimal cut-off values of neutrophils, lymphocytes, and platelets, and a PBCS system was established based on the optimal cut-off values. The scoring rules of the PBCS system were as follows: Neutrophils and platelets below the optimal cut-off value = 1 point, otherwise 0 points; Lymphocytes above the optimal cut-off value = 1 point, otherwise 0 points. The scores of the three cell types were added together to obtain the PBCS. Univariate and multivariate Cox regression analyses were performed to explore the correlation between patients' clinicopathological features and prognosis, and a nomogram was constructed based on the Cox regression analysis to predict patients' prognosis. The accuracy of the nomogram prediction model was validated using the C-index, calibration curve, and decision curve analysis.Results:The optimal cut-off values for neutrophils, lymphocytes, and platelets were 4.40×10 9/L, 1.41×10 9/L, and 355×10 9/L, respectively. The patients were divided into high and low groups according to the optimal cut-off values of these cells. Survival curve analysis showed that a high lymphocyte count (training set: P=0.042, internal validation: P=0.010, external validation: P=0.029), low neutrophil count (training set: P=0.035, internal validation: P=0.001, external validation: P=0.024), and low platelet count (training set: P=0.041, internal validation: P=0.030, external validation: P=0.024) were associated with prolonged overall survival (OS), with statistically significant differences in all cases. Survival analysis of different PBCS groups showed that patients with a high PBCS had longer OS than those with a low PBCS ( P<0.05). Univariate and multivariate Cox regression analysis results showed that aspirin use history, vascular thrombus, neural invasion, CA19-9, N stage, operation time, M stage, and PBCS were independent factors affecting OS (all P<0.05). The PBCS was also an independent factor affecting disease-specific survival ( P<0.05), but not progression-free survival ( P>0.05). The above independent risk or protective factors were included in R software to construct a nomogram for predicting OS. The C-index (0.873), calibration curve, and decision curve analysis (threshold probability: 0.0%–75.2%) all indicated that the nomogram prediction model had good predictive performance for OS. Conclusion:This study demonstrates that the PBCS constructed based on preoperative peripheral blood levels of neutrophils, lymphocytes, and platelets is an independent factor associated with the prognosis of patients with colorectal cancer. The nomogram model constructed based on this score system exhibits good predictive efficacy for the prognosis of these patients.

Objective To observe the clinical efficacy of electroacupuncture at Shuigou(DU26)combined with warming-needle moxibustion in the treatment of acute cerebral infarction.Methods Nighty-six patients with acute cerebral infarction were randomly divided into observation group and control group,48 cases in each group.Both groups were given routine basic treatment.The control group was treated with warming-needle moxibustion.The observation group was treated with electroacupuncture at Shuigou point on the basis of the control group.The treatment was performed 5 days a week for a total of 3 weeks.After 3 weeks of treatment,the clinical efficacy of the two groups was evaluated,and the changes of National Institutes of Health Stroke Scale(NIHSS)score,Barthel Index(BI)score and Fugl-Meyer motor function assessment scale score of the two groups were observed before and after treatment.The changes of interleukin-6(IL-6),high-sensitivity C-reactive protein(hs-CRP)and homocysteine(Hey)levels were compared before and after treatment between the two groups.The safety and adverse reactions of the two groups were evaluated.Results(1)The total effective rate of the observation group was 95.83％(46/48),and that of the control group was 81.25％(39/48).The efficacy of the observation group was superior to that of the control group,and the difference was statistically significant(P＜0.05).(2)After treatment,the NIHSS scores,BI scores,and FMA scores of the patients in the two groups were significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving the NIHSS scores,BI scores,and FMA scores,with a statistically significant difference(P＜0.05).(3)After treatment,the serum IL-6,hs-CRP,and Hey levels of patients in the two groups were significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving the serum inflammatory factors of IL-6,hs-CRP,and Hey levels,with statistically significant differences(P＜0.05).(4)Comparing the incidence of adverse reactions between the observation group and the control group,the difference was not statistically significant(P＞0.05).Conclusion Electroacupuncture at Shuigou point combined with warming-needle moxibustion in the treatment of acute cerebral infarction can significantly promote the recovery of patients'neurological function,thus improving their motor and living ability,effectively reducing the levels of inflammatory factors and homocysteine,and the clinical efficacy is remarkable.

Objective:To study the osseointegration and new bone formation of titanium implants treated by sandblasting acid etching combined with plasma spraying tantalum coating in rats.Methods:After polishing and cleaning of the pure titanium specimens(SLA),the tantalum coating was prepared by plasma spraying after sandblasting and acid etching(SLA-Ta).The surface feature of the samples was observed by SEM,EDS and contact angle meter.The samples of SLA and SLA-Ta were respectively implanted into femur condyle at each side of 18 SD rats(SLA group and SLA-Ta group),and the rats were double-fluorescent labeled after surgery.The rats were sacrificed 4 and 12 weeks after implantation respectively(n=9),the samples of implants and surrounding tissue were examined by mi-cro-CT scanning,fluorescence microscopy and histological staining,the new bone formation and osseointegration around the implant were analyzed.Results:Micro-nano Porous structureed tantalum coating was successfully prepared on the surface of SLA titanium.In vivo experiments showed that 4 and 12 weeks after implantation,the amount of new bone and osseointegration around the implant in the SLA-Ta group were significantly higher than those in the SLA group.Conclusion:The micro-nano multi-level structure formed by SLA combined with plasma sprayed tantalum can promote new bone formation,accelerate mineralization deposition,and improve the osseoin-tegration capacity of the implant.