AIM:To investigate the function of mitochondrial reactive oxygen species(mtROS)/nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3)signaling pathway in modulating macrophage polarization in liver fibrosis resulting from iron overload.METHODS:Thirty-two male C57BL/6 mice were randomly allocated into four groups:control group,model group(iron dextran,50 mg/kg),MitoTEMPO(3 mg/kg)group,and MCC950(10 mg/kg)group,comprising eight mice per group.All mice,with the exception of the control group,were administered daily in-traperitoneal injections of iron dextran for a duration of seven consecutive weeks,whereas the control group received equiv-alent volumes of normal saline.Starting in week four,the MitoTEMPO and MCC950 cohorts received their designated treatments through intraperitoneal injection three times weekly.Serum alanine aminotransferase(ALT)and aspartate ami-notransferase(AST)concentrations were assessed through biochemical analysis.Liver tissues were analyzed utilizing HE,Masson,Sirius red and immunohistochemical staining.The concentrations of mtROS were evaluated utilizing the MitoSOX Red probe.Cytokines and polarization markers,such as interleukin-1β(IL-1β),IL-18,IL-6,tumor necrosis factor-α(TNF-α),inducible nitric oxide synthase(iNOS),IL-10,and arginase-1(Arg-1),were quantified via ELISA.Western blot analysis was performed to quantify the protein expression levels of Arg-1,iNOS,NLRP3,apoptosis-associated speck-like protein containing a caspase recruitment domain(ASC),and caspase-1.The mRNA expression of NLRP3,ASC,and caspase-1 was assessed using RT-qPCR.Immunofluorescence double labeling was employed to identify M1 and M2 macrophages.RESULTS:(1)In comparison to the control group,the model group demonstrated notable inflammatory cell infiltration,pronounced fibrous tissue hyperplasia,significant disruption of hepatic lobular architecture,and the develop-ment of pseudo-lobules in certain areas.Serum ALT and AST levels were markedly elevated(P<0.01),as were the mRNA and protein expression levels of NLRP3,ASC,caspase-1,and mtROS(P<0.01).Iron overload resulted in markedly ele-vated serum iron,ferritin,total liver iron,and ferrous iron concentrations(P<0.01).Markers indicative of M1 macrophage polarization,including IL-6,TNF-α,and iNOS,exhibited upregulation(P<0.01),whereas M2 markers such as IL-10,Arg-1,and CD206 were significantly downregulated(P<0.01).(2)Compared with model group,inhibiting mtROS or NL-RP3 substantially reduced inflammation and fibrous tissue hyperplasia.ALT and AST levels were markedly diminished(P<0.01),as were the areas of positive staining for α-smooth muscle actin and collagen type Ⅰ(P<0.01).Markers of iron over-load,such as serum iron,ferritin,total liver iron,and ferrous iron,were significantly ameliorated(P<0.01).M1 polariza-tion markers were significantly downregulated(P<0.01).CONCLUSION:The mtROS/NLRP3 signaling pathway facili-tates liver fibrosis caused by iron overload by enhancing macrophage polarization to the M1 phenotype.

Objective This study aims to use subjective and objective evaluation indicators to accurately calculate the relative weights of various factors that affect blood glucose control in gestational diabetes and provide scientific basis for the formu-lation of clinical nutrition intervention plans and support for the evaluation of blood sugar intervention effects in the late stage of pregnancy.Methods The fuzzy analytic hierarchy process(FAHP)was used to construct a hierarchical model of nutrition man-agement for patients with gestational diabetes,calculate the weights of each criterion layer in detail,and integrate them with the weight adjustment coefficients of scoring experts to form a mathematical model for nutrition management of gestational diabetes.Results Based on 14 valid expert feedback questionnaires,the relative weights of the first,second,and 29 end indicators were calculated.The weights of the first indicators were nutrition assessment indicators for gestational diabetes(0.34142105),formu-lation of nutrition management plans for gestational diabetes(0.331055183),and implementation of nutrition management plans(0.327923333).The largest weights in the second indicators were laboratory indicators(0.110385024)and meal plans(0.117342182).Conclusion The fuzzy analytic hierarchy process can accurately estimate the relative weights of factors affect-ing personalized nutrition management in gestational diabetes,providing a theoretical basis for blood sugar management during the entire pregnancy.

Photodynamic therapy(PDT)is a precise targeted therapy that selectively treats certain benign diseases and malignant tumors by combining therapeutic light sources,photosensitizers,and oxygen molecules.The wavelength range of the light source,as a key factor in inducing PDT,has a decisive impact on the triggering and therapeutic effect of the treatment.However,there is a lack of relevant reviews on the selection of light sources for photodynamic therapy.This article reviews the PDT-related applications of commonly used light sources with different wavelength ranges of excitation,such as visible light,near-infrared,and X-ray,including the excitation characteristics of this band of light,as well as the multi-therapy combination and multi-range breakthroughs of PDT cancer treatment under the excitation of this band of light.The aim is to provide feasible directions for the development of photodynamic therapy bands and subsequent applications.

Objective This study aims to use subjective and objective evaluation indicators to accurately calculate the relative weights of various factors that affect blood glucose control in gestational diabetes and provide scientific basis for the formu-lation of clinical nutrition intervention plans and support for the evaluation of blood sugar intervention effects in the late stage of pregnancy.Methods The fuzzy analytic hierarchy process(FAHP)was used to construct a hierarchical model of nutrition man-agement for patients with gestational diabetes,calculate the weights of each criterion layer in detail,and integrate them with the weight adjustment coefficients of scoring experts to form a mathematical model for nutrition management of gestational diabetes.Results Based on 14 valid expert feedback questionnaires,the relative weights of the first,second,and 29 end indicators were calculated.The weights of the first indicators were nutrition assessment indicators for gestational diabetes(0.34142105),formu-lation of nutrition management plans for gestational diabetes(0.331055183),and implementation of nutrition management plans(0.327923333).The largest weights in the second indicators were laboratory indicators(0.110385024)and meal plans(0.117342182).Conclusion The fuzzy analytic hierarchy process can accurately estimate the relative weights of factors affect-ing personalized nutrition management in gestational diabetes,providing a theoretical basis for blood sugar management during the entire pregnancy.

Objective:To address large-scale nonlinear programming challenges in optimizing prognosis-guided intensity-modulated radiation therapy (IMRT) plans, to propose gradient-enhanced random contrastive interaction particle swarm optimization (GradRCIPSO). This gradient-enhanced swarm intelligence algorithm aims to enable global optimization of prognostic treatment plans in clinically efficient scenarios.Methods:The core concept of GradRCIPSO lied in achieving rapid global convergence by allowing particles to learn both swarm interaction and gradient information. Specifically, the interaction information was obtained from elite individuals in the swarm, enabling the particles to efficiently search the entire solution space, whereas the gradient information represents the direction of the steepest descent, enabling the particles to quickly explore the current neighborhood. To assess the effectiveness of the methodology, the IMRT plans for 10 cases of non-small cell lung cancer (NSCLC) were selected in this study. They were compared with the GradRCIPSO-generated prognosis-guided IMRT plans. Moreover, the interior-point method, sequential quadratic programming, active set, gradient descent method, and random contrastive interaction particle swarm optimization (RCIPSO) were employed as optimization engines and compared with GradRCIPSO in terms of optimization efficiency and accuracy.Results:GradRCIPSO successfully generated clinically viable prognosis-guided IMRT plans with comparable dosimetric statistics to original plans, while significantly reducing predicted total radiotherapy risk from 1.22(0.84, 1.51) to 0.93(0.80, 1.29) ( z=2.81, P<0.01). It demonstrated superior accuracy over the above four gradient-based method ( z=2.80-2.81, P<0.01) and achieved threefold acceleration versus RCIPSO while maintaining equivalent solution quality( P>0.05). Conclusions:The proposed GradRCIPSO demonstrates high feasibility and performance in optimizing prognosis-guided IMRT plans, laying the technical foundation for the broad clinical application of prognosis-guided IMRT plans for lung cancer.

Objective:To investigate the causes and management strategies of anesthetic complications during percutaneous spinal endoscopic surgery under local anesthesia.Methods:A total of 16 800 patients (8 625 males and 8 175 females) who underwent percutaneous spinal endoscopic surgery under local anesthesia (including intravenous basic anesthesia) in Tianjin Hospital, Shandong Public Health Clinical Center and Hebei General Hospital from February 2012 to February 2023 were retrospectively analyzed. The average age was 45.3±21.6 years (range, 12-84 years). There were 220 cases of posterior cervical keyhole endoscopic surgery, 50 cases of thoracic transforaminal endoscopic surgery, 70 cases of thoracic posterior interlaminar endoscopic surgery, 11 670 cases of lumbar transforaminal endoscopic surgery, and 4 790 cases of lumbar posterior interlaminar endoscopic surgery. The occurrence time, clinical manifestations, management of intraoperative anesthesia complications were recorded, as well as surgical segments, puncture sites, complication symptoms, signs, outcome and prognosis.Results:All patients received percutaneous water-mediated uniaxial spinal endoscopic surgery under local anesthesia. There were 9 patients experienced anesthesia complications, including 6 cases of epidural diffusion of anesthetics and 3 cases of anesthetics mistakenly entering the subarachnoid space. There were 4 males and 5 females, aged 48.4±18.2 years (range, 28-84 years). There were 1 case of T 12L 1 disc herniation, 1 case of C 5-6 disc herniation, 3 cases of L 4-5 disc herniation and 4 cases of L 5S 1 disc herniation. Surgical segments and procedures: 1 case of C 5-6 posterior Keyhole endoscopic surgery, 1 case of T 12L 1 transforaminal endoscopic surgery, 2 cases of L 4-5 transforaminal endoscopic surgery, 1 case of L 4-5 interlaminar endoscopic surgery, and 4 cases of L 5S 1 interlaminar endoscopic surgery. Anesthesia complications all appeared 5-10 min after injection of local anesthetics, with symptoms of decreased oxygen saturation, decreased blood pressure, altered consciousness, and sensory and motor dysfunction of limbs. 6 patients with epidural diffusion of anesthetics recovered completely after symptomatic treatment in 5 cases, and 1 case was left with foot drop. Three patients with anesthetics mistakenly entering the subarachnoid space were immediately converted to the supine position, of which one recovered by mask oxygenation; 1 patient improved after emergency tracheal intubation, rehydration, and application of vasoconstrictive medications; and 1 patient developed multiple complications such as multiorgan failure, rhabdomyolysis, and sepsis after tracheal intubation, and recovered at 3 months after surgery with symptomatic treatment. Conclusions:Epidural diffusion and entering into subarachnoid space of anesthetics are serious complications of local anesthesia in percutaneous spinal endoscopic surgery. In addition to sensory and motor dysfunction of the limbs, the functions of the respiratory and circulatory systems can also be affected. It is necessary to be alert to the occurrence of anesthesia-related complications during operation and early identification and treatment.

BACKGROUND:The healing of mandibular fractures after rigid internal fixation is influenced by many factors,including the material of the bone plate,fracture site,and bone density of the patient.However,there are relatively few studies on the relationship between the stability of mandibular fracture fixation in different bone qualities and they lack a scientific basis. OBJECTIVE:To analyze the stability of fixation of mandibular fractures with different bone qualities with bioabsorbable plates and miniature titanium plates by finite element analysis. METHODS:Three-dimensional finite element models of class Ⅰ-Ⅳ mandibular fractures were developed according to the bone quality classification method proposed by ZARB and LEKHOLM.The fractures at the median mandibular symphysis,mandibular body,and mandibular angle were simulated under different bone qualities.Bioabsorbable bone grafting plates(or miniature titanium plates)were placed at each fracture site for fixation and to simulate the state of healthy side occlusion.Finite element analysis on the model was used to analyze the relative displacement of the fracture segments and the stress distribution of fixators. RESULTS AND CONCLUSION:(1)The maximum stress value during fixation with titanium plates increased gradually with the increase of bone class,in which the maximum stress value of titanium plates was the highest in the mandibular body class Ⅳ bone group,which was 382.74 MPa and 96.11 MPa in the miniature titanium plate and bioabsorbable plate groups.The results for mandibles of the same bone type showed that the maximum stress value of titanium plates was much higher than that of bioabsorbable plates.(2)For fractures of the median middle of the mandible in types Ⅲ and Ⅳ,the displacement of the fracture breaks at the fixation site was large and exceeded the limiting value of bone healing(>150 μm),regardless of whether the fixation was performed with a miniature titanium plate or a bioabsorbable plate.For type Ⅳ mandibular fractures,the fracture end displacement in the bioabsorbable plate group exceeded the healing limit value,and the fracture end displacement in the miniature titanium plate group was close to the healing limit value.Under the same bone quality and fracture site,the fracture displacement of the miniature titanium plate group was smaller than that of the bioabsorbable plate group.(3)The results showed that the strength and stiffness of the two internal fixations were sufficient to support bone healing of fractures at three sites of the types Ⅰ-Ⅳ mandible,and the fixation stability of the bioabsorbable plate was almost the same as that of the miniature titanium plate,which could provide early healing conditions for fractures.Mandibular bone type should be taken into consideration in the treatment of mandibular fracture.The higher the mandibular bone grade,the worse the stability of fracture fixation,and the more likely the complications such as poor bone healing will occur after surgery.

OBJECTIVES: To propose a new method for optimizing radiotherapy planning for lung cancer by incorporating prognostic models that take into account individual patient information and assess the feasibility of treatment planning optimization directly guided by minimizing the predicted prognostic risk. METHODS: A mixed fluence map optimization objective was constructed, incorporating the outcome-based objective and the physical dose constraints. The outcome-based objective function was constructed as an equally weighted summation of prognostic prediction models for local control failure, radiation-induced cardiac toxicity, and radiation pneumonitis considering clinical risk factors. These models were derived using Cox regression analysis or Logistic regression. The primary goal was to minimize the outcome-based objective with the physical dose constraints recommended by the clinical guidelines. The efficacy of the proposed method for optimizing treatment plans was tested in 15 cases of non-small cell lung cancer in comparison with the conventional dose-based optimization method (clinical plan), and the dosimetric indicators and predicted prognostic outcomes were compared between different plans. RESULTS: In terms of the dosemetric indicators, D_95% of the planning target volume obtained using the proposed method was basically consistent with that of the clinical plan (100.33% vs 102.57%, P=0.056), and the average dose of the heart and lungs was significantly decreased from 9.83 Gy and 9.50 Gy to 7.02 Gy (t=4.537, P<0.05) and 8.40 Gy (t=4.104, P<0.05), respectively. The predicted probability of local control failure was similar between the proposed plan and the clinical plan (60.05% vs 59.66%), while the probability of radiation-induced cardiac toxicity was reduced by 1.41% in the proposed plan. CONCLUSIONS The proposed optimization method based on a mixed objective function of outcome prediction and physical dose provides effective protection against normal tissue exposure to improve the outcomes of lung cancer patients following radiotherapy.
Humans ; Lung Neoplasms/radiotherapy* ; Radiotherapy Planning, Computer-Assisted/methods* ; Prognosis ; Radiotherapy, Intensity-Modulated/methods* ; Carcinoma, Non-Small-Cell Lung/radiotherapy* ; Radiotherapy Dosage ; Female ; Male ; Middle Aged

OBJECTIVES: To observe the evolution of intrahepatic macrophage polarization in mice with liver fibrosis induced by iron overload. METHODS: Thirty-two C57BL/6 mice (6-8 weeks) were randomized into control group (n=8) and liver fibrosis model group (n=24) induced by aidly intraperitoneal injection of iron dextran. At the 3rd, 5th, and 7th weeks of modeling, 8 mice in the model group were sacrificed for observing liver fibrosis using Masson, Sirius Red and immunohistochemical staining and detecting serum levels of ALT, AST and the levels of serum iron, ferritin, liver total Fe and ferrous Fe. iNOS⁺/F4/80⁺ cells and CD206⁺/F4/80⁺ cells were detected by double immunofluorescence assay to observe the proportion and distribution of M1 and M2 macrophages. The hepatic expressions of Arg-1, iNOS, IL-6, IL-10, and TNF‑α proteins were detected using Western blotting or ELISA, and the expression of CD206 mRNA was detected using RT-PCR. RESULTS: The mice in the model group showed gradual increase of fibrous tissue hyperplasia in the portal area over time, structural destruction of the hepatic lobules and formation of pseudolobules. With the passage of time during modeling, the rat models showed significantly increased hepatic expressions of α-SMA and COL-1, elevated serum levels of ALT, AST, Fe, ferritin, and increased liver total Fe and ferrous Fe levels. The expressions of M1 polarization markers IL-6, TNF‑α, and iNOS all increased with time and reached their peak levels at the 3rd week; The expressions of M2 polarization markers (IL-10 and Arg-1 proteins and CD206 mRNA) significantly increased in the 3rd week and but decreased in the 5th and 7th weeks. CONCLUSIONS Iron overload promotes M1 polarization of macrophages in mice. Liver fibrosis in the early stage promotes M2 polarization of macrophages but negatively regulate M2 polarization at later stages.
Animals ; Mice ; Mice, Inbred C57BL ; Iron Overload/pathology* ; Macrophages/metabolism* ; Male ; Liver Cirrhosis/etiology* ; Nitric Oxide Synthase Type II/metabolism* ; Interleukin-10/metabolism* ; Liver/pathology* ; Interleukin-6/metabolism* ; Mannose Receptor ; Tumor Necrosis Factor-alpha/metabolism* ; Mannose-Binding Lectins/metabolism* ; Arginase

Objective:To address large-scale nonlinear programming challenges in optimizing prognosis-guided intensity-modulated radiation therapy (IMRT) plans, to propose gradient-enhanced random contrastive interaction particle swarm optimization (GradRCIPSO). This gradient-enhanced swarm intelligence algorithm aims to enable global optimization of prognostic treatment plans in clinically efficient scenarios.Methods:The core concept of GradRCIPSO lied in achieving rapid global convergence by allowing particles to learn both swarm interaction and gradient information. Specifically, the interaction information was obtained from elite individuals in the swarm, enabling the particles to efficiently search the entire solution space, whereas the gradient information represents the direction of the steepest descent, enabling the particles to quickly explore the current neighborhood. To assess the effectiveness of the methodology, the IMRT plans for 10 cases of non-small cell lung cancer (NSCLC) were selected in this study. They were compared with the GradRCIPSO-generated prognosis-guided IMRT plans. Moreover, the interior-point method, sequential quadratic programming, active set, gradient descent method, and random contrastive interaction particle swarm optimization (RCIPSO) were employed as optimization engines and compared with GradRCIPSO in terms of optimization efficiency and accuracy.Results:GradRCIPSO successfully generated clinically viable prognosis-guided IMRT plans with comparable dosimetric statistics to original plans, while significantly reducing predicted total radiotherapy risk from 1.22(0.84, 1.51) to 0.93(0.80, 1.29) ( z=2.81, P<0.01). It demonstrated superior accuracy over the above four gradient-based method ( z=2.80-2.81, P<0.01) and achieved threefold acceleration versus RCIPSO while maintaining equivalent solution quality( P>0.05). Conclusions:The proposed GradRCIPSO demonstrates high feasibility and performance in optimizing prognosis-guided IMRT plans, laying the technical foundation for the broad clinical application of prognosis-guided IMRT plans for lung cancer.