ObjectiveTo dynamically observe and evaluate the damage to the pulmonary air-blood barrier in mice during the inflammatory cancer transformation process of ulcerative colitis （UC） based on the "lung-intestine correlation" theory. MethodsSixty-five C57BL/6 mice were divided into a normal group （n=25） and a model group （n=40） using a random number table. Azoxymethane/dextran sodium sulfate （DSS） method was used to establish a mouse model of UC inflammation cancer transformation in the modeling group. According to the tissue collection time points at 5， 8， 11， 13， and 15 weeks， the normal group mice were randomly divided into the normal 5w， 8w， 11w， 13w， and 15w groups. The model group mice， 10 mice of which died after the first cycle of DSS administration， were randomly divided into model 5w， 8w， 11w， 13w， and 15w groups. During the experiment， the general condition of the mice was observed daily， and their body weight was measured weekly. At the corresponding tissue collection time points， the colon length of each group was measured. Histopathology of mouse lung and colon tissues was examined using HE staining. Immunofluorescence was used to detect changes in the positive expression of tight junction protein （ZO-1）， vascular endothelial cadherin （VE-cadherin）， and cytoskeletal protein （F-actin） in lung and colon tissues. RT-PCR was used to detect the mRNA expression of apoptosis regulatory proteins B-cell lymphoma-2 （Bcl-2）， BCL2-associated X protein （Bax）， and Cysteine aspartic acid protease-3 （Caspase-3） in lung tissues. Western Blot was employed to measure protein levels of ZO-1， VE-cadherin， and F-actin in lung tissues. ResultsCompared to the normal group at the same time point， the mice in the model group at each time point generally had poorer conditions， with weight loss and shortened colon length （P＜0.05 or P＜0.01）. In the model 5w group， there was significant inflammatory cell infiltration in the colon tissue； in the model 8w group， there was mild atypical hyperplasia； in the model 11w group， the crypt structure was disordered， and moderate to severe atypical hyperplasia occurred； in the model 13w and 15w groups， tumors appeared. Pulmonary interstitial lesions， inflammation， vasculitis， and fibrosis were observed at all stages of UC inflammation cancer transformation. The protein levels of ZO-1， VE-cadherin， and F-actin， as well as Bcl-2 mRNA expression in lung tissue decreased during the acute inflammatory recovery period， atypical hyperplasia period， and canceration period， while the expressions of Bax and Caspase-3 mRNA increased； the expressions of ZO-1， VE-cadherin， and F-actin proteins in colon tissue decreased during the acute inflammatory recovery period， atypical hyperplasia period， and canceration period （P＜0.01 or P＜0.05）. Compared to the model 5w group， the ZO-1 and F-actin protein levels and Bcl-2 mRNA expression in lung tissue in the other model groups increased in the atypical hyperplasia period and canceration period， while the expressions of Bax and Caspase-3 mRNA decreased； the expression of ZO-1 protein in colon tissue increased in the canceration period， and the expression of VE-cadherin protein decreased in the atypical hyperplasia period （P＜0.01 or P＜0.05）. ConclusionIn the process of "inflammatory response-atypical hyperplasia-carcinogenesis" in UC inflammatory cancer transformation mice， there were damage to air-blood barrier.

BACKGROUND:Studies have found that probiotics have a certain preventive and therapeutic effect on peri-implantitis,and there are further explorations in the mechanism against peri-implantitis.OBJECTIVE:To review the mechanism and clinical application of probiotics in the treatment of peri-implantitis.METHODS:Relevant literature was searched on PubMed,Web of Science,CNKI,and WanFang Data,using the search terms of"probiotics,peri-implantitis,flora imbalance,immunoregulation,inflammatory reaction,mechanism of action"in Chinese and English.A total of 90 articles were finally included.RESULTS AND CONCLUSION:Probiotics have the following mechanisms.They can activate the anti-inflammatory mechanism by inhibiting the secretion of inflammatory factors and promoting the production of anti-inflammatory factors.They can destroy the cell wall of pathogenic bacteria by secreting microbial complexes and bacteriocins,reduce the pH value of biofilms,improve the composition of microorganisms in microecology,induce the change of bacterial community structure,and restore the balance of microbial population around implants.They have immunomodulatory effects and can enhance the resistance of the host oral mucosa to pathogenic bacteria in the surrounding area of the implant.In addition,probiotics can produce antibacterial compounds,offset the adhesion of pathogenic microorganisms,and regulate immune function.Through the above mechanisms,probiotics have certain potential in the adjuvant treatment of peri-implantitis,which can improve the clinical parameters of peri-implantitis and affect the microbiota.Probiotic therapy provides a new treatment option,but more long-term prospective studies are needed to further verify its effect.

BACKGROUND:Studies have found that probiotics have a certain preventive and therapeutic effect on peri-implantitis,and there are further explorations in the mechanism against peri-implantitis.OBJECTIVE:To review the mechanism and clinical application of probiotics in the treatment of peri-implantitis.METHODS:Relevant literature was searched on PubMed,Web of Science,CNKI,and WanFang Data,using the search terms of"probiotics,peri-implantitis,flora imbalance,immunoregulation,inflammatory reaction,mechanism of action"in Chinese and English.A total of 90 articles were finally included.RESULTS AND CONCLUSION:Probiotics have the following mechanisms.They can activate the anti-inflammatory mechanism by inhibiting the secretion of inflammatory factors and promoting the production of anti-inflammatory factors.They can destroy the cell wall of pathogenic bacteria by secreting microbial complexes and bacteriocins,reduce the pH value of biofilms,improve the composition of microorganisms in microecology,induce the change of bacterial community structure,and restore the balance of microbial population around implants.They have immunomodulatory effects and can enhance the resistance of the host oral mucosa to pathogenic bacteria in the surrounding area of the implant.In addition,probiotics can produce antibacterial compounds,offset the adhesion of pathogenic microorganisms,and regulate immune function.Through the above mechanisms,probiotics have certain potential in the adjuvant treatment of peri-implantitis,which can improve the clinical parameters of peri-implantitis and affect the microbiota.Probiotic therapy provides a new treatment option,but more long-term prospective studies are needed to further verify its effect.

AIM: To investigate the association between dyslipidemia and macular hard exudates(HEs)in non-proliferative diabetic retinopathy(NPDR)secondary to type 2 diabetes mellitus(T2DM).METHODS: NPDR patients attending the outpatient ophthalmology clinic from January 2021 to December 2023 were selected and divided into three groups according to the severity of macular HEs. Group A: None or minimal HEs; Group B: Definite HEs; Group C: Prominent HEs. Total cholesterol(TC), triglycerides(TG), low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), lipoprotein(a)[Lp(a)] levels and other lipid-related indicators were routinely measured. The correlation between these indicators and HEs was analyzed.RESULTS:Group A(24 eyes)consisted of 9 males and 15 females with the mean age of 54.71±6.15 y, group B(52 eyes)consisted of 20 males and 32 females with the mean age of 55.08±6.27 y, group C(14 eyes)consisted of 9 males and 5 females with the mean age of 53.93±6.08 y. The concentration of TC, TG, LDL-C and Lp(a)was highest in group C, followed by group B and lowest in group A with statistically significant differences(P<0.001). There were no statistically significant differences between the three groups for fasting plasma glucose(FPG), glycated hemoglobin A1c(HbA1c), creatinine(Cr), and HDL-C(P>0.05). The results of multivariate Logistic regression analysis showed that elevated levels of TC, TG, LDL-C, and Lp(a)were associated with the presence of macular HEs. Receiver operating characteristiccurve analysis showed that the area under the curve(AUC)for TC, TG, LDL-C, Lp(a), and their combination in predicting macular HEs in NPDR were 0.785, 0.718, 0.784, 0.742, and 0.911, respectively, with the combined model demonstrating the highest predictive performance.CONCLUSION: Dyslipidemia is closely associated with the development and progression of macular HEs in patients with NPDR and T2DM. The levels of TC, TG, LDL-C, and Lp(a)were correlated with the severity of macular HEs, suggesting that dyslipidemia may be involved in the pathological process of macular HEs formation.

Nanozymes are a distinct category of nanomaterials that exhibit catalytic properties resembling those of enzymes such as peroxidase (POD), superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx). Nanozymes derived from Chinese herbal medicines exhibit the catalytic functions of their enzyme mimics, while retaining the specific medicinal properties of the herb (termed "herbzymes"). These nanozymes can be categorized into three main groups based on their method of synthesis: herb carbon dot nanozymes, polyphenol-metal nanozymes, and herb extract nanozymes. The reported catalytic activities of herbzymes include POD, SOD, CAT, and GPx. This review presents an overview of the catalytic activities and potential applications of nanozymes, introduces the novel concept of herbzymes, provides a comprehensive review of their classification and synthesis, and discusses recent advances in their biomedical applications. Furthermore, we also discuss the significance of research into herbzymes, including the primary challenges faced and future development directions.
Nanostructures/chemistry* ; Humans ; Herbal Medicine/methods* ; Superoxide Dismutase/chemistry* ; Catalase/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Catalysis ; Glutathione Peroxidase/chemistry*

OBJECTIVE: To investigate the effectiveness of delayed replantation of degloving skin preserved at 4℃ in treatment of limb degloving injuries. METHODS: Between October 2020 and October 2023, 12 patients with limb degloving injuries were admitted. All patients had severe associated injuries or poor wound conditions that prevented primary replantation. There were 7 males and 5 females; age ranged from 29 to 46 years, with an average of 39.2 years. The causes of injury included machine entanglement in 6 cases, traffic accidents in 5 cases, and sharp instrument cuts in 1 case. Time from injury to hospital admission was 0.5-3.0 hours, with an average of 1.3 hours. Injury sites included upper limbs in 7 cases and lower limbs in 5 cases. The range of degloving skin was from 5 cm×4 cm to 15 cm×8 cm, and all degloving skins were intact. The degloving skin was preserved at 4℃. After the patient's vital signs became stable and the wound conditions improved, it was trimmed into medium-thickness skin grafts for replantation. The degloving skin was preserved for 3 to 7 days. At 4 weeks after replantation, the viability of the degloving skin grafts was assessed, including color, elasticity, and sensation of pain. The Vancouver Scar Scale (VSS) was used to assess the scars of the skin grafts during follow-up. RESULTS: At 4 weeks after replantation, 8 cases of skin grafts completely survived and the color was similar with normal skin, with a survival rate of 66.67%. The elasticity of skin grafts (R0 value) ranged from 0.09 to 0.85, with an average of 0.55; moderate pain was reported in 4 cases, mild pain in 3 cases, and no pain in 5 cases. All patients were followed up 12 months. Over time, the VSS scores of all 12 patients gradually decreased, with a range of 4-11 at 12 months (mean, 6.8). CONCLUSION For limb degloving injuries that cannot be replanted immediately and do not have the conditions for deep low-temperature freezing preservation, the method of preserving the degloving skin at 4℃ for delayed replantation can be chosen.
Humans ; Male ; Adult ; Replantation/methods* ; Female ; Degloving Injuries/surgery* ; Middle Aged ; Skin Transplantation/methods* ; Treatment Outcome ; Extremities/injuries* ; Time Factors ; Skin/injuries* ; Tissue Preservation/methods*

OBJECTIVE: To explore the application value of infrared thermography in the design and harvesting of ultrathin anterolateral thigh perforator flaps. METHODS: Between June 2024 and December 2024, 9 cases of ultrathin anterolateral thigh perforator flaps were designed and harvested with the assistance of infrared thermography. There were 7 males and 2 females, aged 21-61 years (mean, 39.8 years). The body mass index ranged from 19.49 to 26.45 kg/m² (mean, 23.85 kg/m²). Causes of injury included 5 cases of traffic accident injuries and 4 cases of machine crush injuries. There were 3 cases of leg wounds, 2 cases of foot wounds, and 4 cases of hand wounds. After debridement, the size of wound ranged from 7 cm×4 cm to 13 cm×11 cm. The time from admission to flap repair surgery was 5-12 days (mean, 7 days). Preoperatively, perforator localization was performed using a traditional Doppler flow detector and infrared thermography, respectively. The results were compared with the actual intraoperative locations; a discrepancy ≤10 mm was considered as consistent localization (positive), and the positive predictive value was calculated. All 9 cases were repaired with ultrathin anterolateral thigh perforator flaps designed and harvested based on thermographic images. The size of flap ranged from 8 cm×5 cm to 14 cm×8 cm, with a thickness of 3-6 mm (mean, 5.2 mm). One donor site was repaired with a full-thickness skin graft, and the others were sutured directly. Postoperatively, anti-inflammatory, anticoagulant, and anti-vascular spasm treatments were administered, and follow-up was conducted. RESULTS: The Doppler flow detector identified 22 perforating vessels within the set range, among which 16 were confirmed as superficial fascia layer perforators intraoperatively, with a positive predictive value of 72.7%. The infrared thermograph detected 23 superficial fascia layer perforating vessels, and 21 were verified intraoperatively, with a positive predictive value of 91.3%. There was no significant difference between the two methods [OR (95%CI)=3.93 (0.70, 22.15), P=0.100]. The perforator localization time of the infrared thermograph was (5.1±1.3) minutes, which was significantly shorter than that of the Doppler flow detector [(10.1±2.6) minutes; MD (95%CI)=-5.00 (-7.08, -2.91), P<0.001]. Postoperatively, 1 case of distal flap necrosis healed after dressing change; all other flaps survived successfully. The skin grafts at donor site survived, and all incisions healed by first intention. All patients were followed up 3-6 months (mean, 4.7 months). No pain or other discomfort occurred at the donor or recipient sites. All patients with foot wounds could walk with shoes, and no secondary flap revision was required. Flaps in 3 hand wound cases, 2 foot wound cases, and 3 leg wound cases recovered light touch and pressure sensation, but not pain or temperature sensation; the remaining 2 cases had no sensory recovery. CONCLUSION Preoperative localization using infrared thermography for repairing ultrathin anterolateral thigh perforator flaps can help evaluate the blood supply status of perforators, reduce complications, and improve surgical safety and flap survival rate.
Humans ; Perforator Flap/blood supply* ; Adult ; Male ; Thermography/methods* ; Female ; Thigh/blood supply* ; Middle Aged ; Plastic Surgery Procedures/methods* ; Tissue and Organ Harvesting/methods* ; Infrared Rays ; Skin Transplantation/methods* ; Soft Tissue Injuries/surgery* ; Young Adult

Objective:To investigate the influence of prealbumin on cerebral infarction severity, hemorrhage transformation and 1-year prognosis.Methods:A retrospective study was conducted to select 752 patients with cerebral infarction who were treated in Beijing Tiantan Hospital,Capital Medical University from December 2018 to December 2019 as the study objects. Personal information and laboratory indicators of the patients were collected including prealbumin, hemoglobin, white blood cell count, etc.Patients were divided into group B1 (<238 mg/L) and group B2 (≥238 mg/L) based on median prealbumin. By inquiry patient's case, NIHSS score (<16 was classified as mild, ≥16 as moderate and severe)and cerebral infarction volume (<20 cm 3 as small infarct, >20 cm 3 as large infarct) were recorded to evaluate the severity of the disease, and whether hemorrhage transformation occurred during hospitalization was recorded. Patients were followed up 1 year after discharge, and prognostic information of patients was recorded, including neurological function recovery (mRS score <3 was classified as good recovery, ≥3 as poor recovery),all-cause case fatality rate, and recurrence of cardio-cerebrovascular events. Normally distributed measurement data were expressed as xˉ±s, non-normally distributed measurement data were expressed as median and quartiles[ M( Q1, Q3)], categorical variable were expressed as ratio and percent(%). Comparison between groups of measurement data were performed by independent sample t test and Mann-Whitney U test. Chi-square test were used on comparison between groups of categorical variable. Single-factor comparison, Spearman correlation analysis and multiple Logistic regression were used to analyze the correlation between prealbumin and other laboratory indicators, cerebral infarction severity, hemorrhage transformation and 1-year prognosis, respectively. Results:The NIHSS score and infarct volume of patients in group B1 were 5(2,10) and 3.18(0.72,18.00) cm 3, and those in group B2 were 3(2,7) and 2.0(0.5,10.0) cm 3, respectively, which were higher in group B1 than in group B2, the differences were statistically significant ( Z=3.85, P<0.001, Z=2.81, P=0.005). The proportion of mRS Score ≥3 in group B1 was 28.8%(107/371), and the all-cause case fatality rate was 7.5%(28/371), both higher than 20.5%(78/381) and 3.1%(12/381) in group B2, with statistical significance ( χ2=7.10, P=0.008, χ2=7.22, P=0.007). Hemorrhage transformation and recurrence of cardio-cerebrovascular events were 13.5%(50/371) and 11.6%(43/371) in group B1 and 9.2% (35/381) and 8.7%(33/381) in group B2, respectively, with no significant difference between the two groups ( χ2=3.45, P=0.063, χ2=1.78, P=0.183). Multivariate logistic regression analysis showed that, after adjusted for potential confounding factors, prealbumin was protective factor of NIHSS ( OR and 95% CI: 0.990(0.984-0.997), P=0.035), poor neurological recovery(mRS≥3) ( OR and 95% CI:0.992(0.988-0.997), P<0.001) and all-cause case fatality rate ( OR and 95% CI:0.991(0.983-0.999), while prealbumin had no significant influence on cardiocerebrovascular recurrence events ( OR and 95% CI: 0.999(0.993-1.005), P=0.729). Conclusion:Prealbumin is significantly associated with the severity of cerebral infarction and poor prognosis 1 year after discharge, and low prealbumin was an independent risk factor for NIHSS score(≥16), poor neurological recovery (mRS≥3) and all-cause case fatality rate.

Objectives:To explore the effects of infarct volume, infarct type, inflammation, and coagulation indicators on hemorrhagic transformation in patients with acute cerebral infarction.Methods:711 patients with cerebral infarction admitted to Beijing Tiantan Hospital were retrospectively included as the study objects from December 2018 to December 2019 [535 males and 176 females, age 22-95 years, mean age (59.6±12.1) years]. Clinical data, laboratory indicators such as inflammation and coagulation function of patients were collected, and information such as location, volume and type of infarction were recorded. The patients were divided into hemorrhage transformation group and non-hemorrhage transformation group according to whether hemorrhage transformation occurred during hospitalization. Normally distributed measurement data were expressed as xˉ± s, non-normally distributed measurement data were expressed as median and quartiles [ M( Q1, Q3)], categorical variable were expressed as ratio and percent (%). Comparison between groups of measurement data were performed by independent sample t test and Mann-Whitney U test. χ2 test were used on comparison between groups of categorical variable. Univariate comparison and multivariate Logistic regression were used to analyze the correlation between hemorrhage transformation and infarct volume, infarction type and laboratory indicators, respectively, to explore the risk factors of hemorrhage transformation. ROC curve analysis was used to evaluate the diagnostic value of indicators. Results:The rates of coronary heart disease and atrial fibrillation history in the hemorrhage transformation group were 23.5% (20/85) and 22.4% (19/85), respectively, which were significantly higher than those in the non-hemorrhage transformation group (13.9% (87/626) and 5.8% (36/626), respectively), and the difference between the two groups was statistically significant ( χ2=5.43, χ2=28.90, P=0.020, P<0.001, respectively). The NIHSS score [10(4,17) points] and infarct volume [46.50 (14.21,118.42) mL] in the hemorrhage transformation group were significantly higher than those in the non-hemorrhage transformation group [4(2,7) points, 2.00(0.51,8.94) mL]. The difference between the two groups was statistically significant ( Z values were 6.69 and 10.69, respectively, P<0.001). The results of multivariate Logistic regression analysis showed that atrial fibrillation (OR=2.604, 95% CI: 1.186-5.716, P=0.107), infarct volume (OR=1.009, 95% CI: 1.004-1.015, P=0.001), infarct type of Chinese ischemic stroke subclassfication (OR=1.371, 95% CI: 1.085-1.731, P=0.008) and neutrophil/lymphocyte ratio (OR=1.047, 95% CI: 1.006-1.090, P=0.023) were independent risk factors for hemorrhage transformation. ROC curve analysis showed that the area under curve (AUC) of infarct volume and neutrophil/lymphocyte ratio were 0.861 (0.821-0.901) and 0.684 (0.626-0.741), respectively, which were effective in predicting hemorrhage transformation after cerebral infarction. The prediction of infarct volume was more efficient. Conclusion:History of atrial fibrillation, classification of cardioembolic stroke, infarct volume, and neutrophil/lymphocyte ratio are all risk factors for hemorrhagic transformation after acute cerebral infarction.