BACKGROUND:The regulation of M1/M2 polarization direction of macrophages is particularly critical in tissue engineering applications,and timely regulation can minimize proinflammatory,anti-inflammatory,or tissue healing responses. OBJECTIVE:To implant lentivirus-mediated miRNA-378a macrophage strain complex collagen to detect the expression level of immune regulation in the in vivo environment,and further clarify the influence of miRNA-378a in promoting macrophage M2 polarization in immune regulation and tissue repair in the in vivo environment. METHODS:Lentivirus-mediated miRNA-378a overexpressing macrophage cell lines and negative control virus macrophage lines were amplified and screened,and the macrophage lines were recovered and cultured together with collagen sponge to form a composite scaffold,which was divided into the following groups:(1)Positive group:miRNA-378a overexpressing macrophage-collagen sponge composite;(2)negative group:negative control of virus-mediated miRNA-378a macrophage-collagen sponge composite;(3)control group:macrophage-collagen sponge;(4)blank control group:collagen sponge.The cell density,phenotype,and adhesion of each group were observed by immunofluorescence and scanning electron microscopy.The cells were implanted into the subcutaneous model of the back of mice,and the mice were sacrificed 4 and 7 days after modeling.The direction of macrophage polarization in the collagen sponge composite of macrophages with miRNA-378a overexpression mediated by lentivirus and its effect on immune regulation and tissue repair were analyzed by gross observation,hematoxylin-eosin staining,MASSON staining,and immunohistochemistry. RESULTS AND CONCLUSION:(1)Under immunofluorescence microscopy,the macrophage cell lines in each group were observed to form a composite scaffold with the collagen sponge.(2)Under scanning electron microscope,lentivirus-mediated miRNA-378a macrophages in the positive group proliferated in cell density,had spherical,elliptic and polygonal differentiation,and had more pseudofeet than other groups.(3)Under general observation,the overall 7-day healing was better than that at 4 days.Lentivirus-mediated miRNA-378a macrophages in the positive group healed better than other groups regardless of 4 and 7 days.(4)Lentivirus-mediated miRNA-378a macrophages in the positive group under hematoxylin-eosin staining and MASSON staining had more amounts of fibrocytes,capillaries,fibroblasts,and collagen fiber hyperplasia.(5)Immunohistochemistry showed that lentivirus-mediated miRNA-378a macrophages in the positive group were more positive in 4-and 7-day M2 polarized cells than in other groups.The macrophages of the control and negative groups in 4-and 7-day M2 polarized cells were greater than that of the blank control group.There was no statistical difference between the control group and the negative group.The number of stained cells in the positive,negative,and control groups regardless of 4 and 7 days was higher than that in the blank control group,and the positive group>negative group ≈ control group>blank control group.(6)It is concluded that macrophages with miRNA-378a overexpression have a large amount of fibroblasts,capillaries,fibroblasts,and collagen fiber hyperplasia in vivo,which has a positive effect on tissue repair,and can promote the polarization of macrophages towards M2 type and inhibit the polarization of M1 type,thus contributing to reducing the inflammatory response of the body.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective:To analyze the efficacy and safety of daratumumab plus dexamethasone in the treatment of renal injury patients with light chain amyloidosis, and to provide clinical reference.Methods:It was a single center retrospective observational study. The clinical data before and after daratumumab treatment of renal injury patients with light chain amyloidosis treated with daratumumab plus dexamethasone from December 2021 to August 2022 were retrospectively collected. The hematologic response, kidney response, prognosis, and adverse events were analyzed. The treatment regimen was 16 mg/kg intravenous infusion of daratumumab on day 1 + 20 mg intravenous push of dexamethasone on day 1-2, once every 2 weeks. The follow-up was up to February 28, 2023.Results:The study included 18 patients, with age of (58.4±7.7) years old, and a male to female ratio of 11∶7. Eleven patients were newly diagnosed and 7 patients were retreated. There were 7, 5, 5 and 1 patients, respectively at the stage Ⅰ, Ⅱ, Ⅲ and Ⅳ of light chain amyloidosis according to 2012 Mayo stage criteria. The median course of disease before onset was 2.5 (1.0, 8.0) months and the follow-up time was (8.7±2.8) months. The patients received (10±3) times of treatment. The overall hematologic response rates were 9/13, 11/13 and 13/13 at 1 month, 3 months, and 6 months respectively after treatment, meanwhile 8/13, 10/13 and 12/13 achieved at least very good partial response at 1 month, 3 months, and 6 months respectively (the other 5 patients did not undergo detailed evaluation due to baseline difference of serum free κ and λ light chain <20 mg/L). The median duration of hematologic response was 16 (13, 40) days. At 3 months, 6 months and the end of follow-up, 10, 13 and 13 of 18 patients respectively achieved renal response, and the median duration of response was 66 (26, 182) days. During follow-up, the median difference of serum free κ and λ light chain decreased by 93% (72%, 97%). Until the last follow-up, one patient died of organ hemorrhage. Other infusion reactions, leukopenia, neutropenia and infection all improved after symptomatic treatments.Conclusion:Daratumumab plus dexamethasone treatment is effective for light chain amyloidosis nephropathy in inducing hematologic remission and kidney remission, with good safety.

Objective:To construct a nomogram prediction model for predicting the risk of death in patients with sepsis-associated thrombocytopenia (SAT) in intensive care unit (ICU) for early indentification and active intervention.Methods:Clinical data of SAT patients admitted to ICU of the First Affiliated Hospital of Nanjing Medical University from December 2019 to August 2021 were retrospectively collected, including demographic data, laboratory indicators, etc. According to the prognosis at 28 days, the patients were divided into the death group and the survival group, and the differences of clinical variables between the two groups were compared. Multivariate Logistic regression analysis was performed to analyze the independent risk factors influencing mortality of patients within 28 days, then a nomogram predictive model was constructed and its performance was verified with internal data. Receiver operator characteristic curve (ROC curve) was used to evaluate the diagnostic effectiveness of the nomogram model, and the clinical applicability of this model was evaluated by clinical decision curve analysis (DCA).Results:A total of 275 patients were included, with 95 deaths at 28 days and a 28-day mortality of 34.5%. Compared with the survival group, acute physiology and chronic health evaluation Ⅱ (APACHEⅡ), sequential organ failure assessment (SOFA), lactic acid (Lac), platelet distribution width (PDW) on day 5 of ICU admission, blood urea nitrogen (BUN), total bilirubin (TBIL), aspartate aminotransferase (AST), C-reactive protein (CRP) of patients in the death group were higher, activated partial thromboplastin time (APTT) and prothrombin time (PT) were longer, platelet count (PLT) on day 3 and day 5 of ICU admission, direct bilirubin (DBIL), fibrinogen (FIB) were lower, the history of chronic lung disease, mixed site infection, lung infection, bloodstream infection, Gram-negative bacterial infection and fungal infection accounted for a higher proportion, the history of diabetes mellitus, urinary tract infection and no pathogenic microorganisms cultured accounted for a lower proportion, and the proportion of the use of vasoactive drugs, mechanical ventilation (MV), continuous renal replacement therapy (CRRT), bleeding events and platelet transfusion were higher. Multivariate Logistic regression analysis showed that APACHEⅡ score at the day of ICU admission [odds ratio ( OR) = 1.417, 95% confidence interval (95% CI) was 1.153-1.743, P = 0.001], chronic lung disease ( OR = 72.271, 95% CI was 4.475-1?167.126, P = 0.003), PLT on day 5 of ICU admission ( OR = 0.954, 95% CI was 0.922-0.987, P = 0.007), vasoactive drug ( OR = 622.943, 95% CI was 10.060-38?575.340, P = 0.002), MV ( OR = 91.818, 95% CI was 3.973-2?121.966, P = 0.005) were independent risk factors of mortality in SAT patients. The above independent risk factors were used to build a nomogram prediction model, and the area under the curve (AUC), sensitivity and specificity were 0.979, 94.7% and 91.7%, respectively, suggesting that the model had good discrimination. The Hosmer-Lemeshow goodness of fit test showed a good calibration with P > 0.05. At the same time, DCA showed that the nomogram model had good clinical applicability. Conclusions:Patients with SAT has a higher risk of death. The nomogram model based on APACHEⅡ score at the day of ICU admission, chronic lung disease, PLT on day 5 of ICU admission, the use of vasoactive drug and MV has good clinical significance for the prediction of 28-day mortality, and the discrimination and calibration are good, however, further verification is needed.

Photothermal therapy is a new type of tumor therapy that uses near-infrared laser to specifically activate the photothermal agent accumulated in the lesion site, so as to achieve thermal ablation of cancer cells. However, the long metabolic cycle and difficult clearance of photothermal agent materials in vivo are also one of the major obstacles hindering their clinical transformation. In this work, we used hemoglobin as a novel stabilizer, hexachloroplatinic acid as a novel oxidant, and pyrrole as a monomer to prepare hemoglobin-stabilized platinum-based polypyrrole nanoparticles (Hb@PtP) by a one-step oxidative polymerization method and investigated in detail to study their physicochemical properties, such as morphology and structure. After polyethylene glycol modification, the particle size of obtained Hb@PtPP was 99.08 ± 8.3 nm and the zeta potential was -18.7 ± 1.2 mV. Transmission electron microscopy showed that the Hb@PtPP nanoparticles exhibited irregular spherical shape and uniform dispersion in the system. Under the irradiation of 808 nm laser with different power densities, Hb@PtPP showed power density-dependent temperature-raising behavior, and CCK-8 and dead-live staining experiments confirmed that they could effectively exert the photothermal effect to kill tumor cells. Small living animal imaging results demonstrated that Hb@PtPP had good tumor targeting and retention ability, and achieved tumor growth inhibition and ablation in vivo under laser excitation. All animal experiments involved in the study were performed in accordance with the program approved by the Animal Care and Use Committee of the Chinese Academy of Medical Sciences, Beijing Union Medical College, Institute of Radiation Medicine [IRM/2-IACUC-2312-005].

Synthetic medicinal chemistry plays a crucial role in the research and development of new drugs. This article overviewed the proposal application and funding of the General Program, Young Scientist Fund and Fund for Less Developed Regions of National Natural Science Foundation of China related to synthetic medicinal chemistry in application codes H3401 and H3407 in 2023. It also analyzed the hotspots of the applied projects of synthetic medicinal chemistry in 2023 and provided suggestions to address the current challenges, which aimed to further exert the role of synthetic medicinal chemistry in the development of new drugs and continuously promote the high-quality development of China's original new drug research.