Soy is a vital source of plant carbohydrates.However,it poses significant allergenic risks,particularly to young children and animals.Among the various proteins in soy,β-conglycinin,which con-stitutes approximately 30％of total soy carbohydrates,is a primary allergen.Undigested β-conglycinin can lead to intestinal damage by inhibiting cell growth,disrupting the cytoskeleton,and inducing apopto-sis.It can also enter the lymphatic and circulatory systems,triggering allergic reactions.Conventional ELISA methods for detecting β-conglycinin rely on polyclonal or monoclonal antibodies,which are limited by their large molecular weight,difficulty in accessing the protein core,and sensitivity to acidic and bas-ic conditions.To address these limitations,this study aimed to develop nanobodies(Nbs)against β-con-glycinin.Nbs,derived from the variable regions of heavy-chain antibodies found in camelids,have a mo-lecular weight approximately one-tenth that of conventional antibodies.They offer advantages such as small size,stable structure,high specificity,and strong affinity.A female alpacas was immunized five times using β-conglycinin,which showed a heavy chain antibody potency of 1∶16 000 by ELISA.Pe-ripheral blood lymphocytes were subsequently isolated and total RNA was extracted.The variable region of the heavy-chain antibody was amplified via PCR,and recombinant plasmids were constructed and transformed into the E.coli competency strain ER2738.The resulting library contained about 3.5×108 CFU/mL,which increased to 1.15×1012 PFU/mL after phage rescue,with a 100％Nbs gene insertion rate,indicating high diversity.Its Nbs phage output was significantly enriched by four rounds of solid-phase elution with an enrichment rate of 155.9.Four rounds of solid-phase panning yielded 35 positive clones,all of which shared the same amino acid sequence upon sequencing.The selected Nb was ex-pressed in a prokaryotic system,and its binding ability to β-conglycinin was confirmed using Western blotting and ELISA.The results demonstrated excellent specificity and affinity.This research lays the groundwork for developing a rapid and efficient detection method for β-conglycinin using Nbs,potentially enhancing food safety and allergen management.

OBJECTIVE: To investigate the clinical features and prognosis of central nervous system (CNS) invasion in peripheral T-cell lymphoma (PTCL) and construct a risk prediction model for CNS invasion. METHODS: Clinical data of 395 patients with PTCL diagnosed and treated in the First Affiliated Hospital of Zhengzhou University from 1st January 2013 to 31st December 2022 were analyzed retrospectively. RESULTS: The median follow-up time of 395 PTCL patients was 24(1-143) months. There were 13 patients diagnosed CNS invasion, and the incidence was 3.3%. The risk of CNS invasion varied according to pathological subtype. The incidence of CNS invasion in patients with anaplastic large cell lymphoma (ALCL) was significantly higher than in patients with angioimmunoblastic T-cell lymphoma (AITL) (P <0.05). The median overall survival was significantly shorter in patients with CNS invasion than in those without CNS involvement, with a median survival time of 2.4(0.6-127) months after diagnosis of CNS invasion. The results of univariate and multivariate analysis showed that more than 1 extranodal involvement (HR=4.486, 95%CI : 1.166-17.264, P =0.029), ALCL subtype (HR=9.022, 95%CI : 2.289-35.557, P =0.002) and ECOG PS >1 (HR=15.890, 95%CI : 4.409-57.262, P <0.001) were independent risk factors for CNS invasion in PTCL patients. Each of these risk factors was assigned a value of 1 point and a new prediction model was constructed. It could stratify the patients into three distinct groups: low-risk group (0-1 point), intermediate-risk group (2 points) and high-risk group (3 points). The 1-year cumulative incidence of CNS invasion in the high-risk group was as high as 50.0%. Further evaluation of the model showed good discrimination and accuracy, and the consistency index was 0.913 (95%CI : 0.843-0.984). CONCLUSION The new model shows a precise risk assessment for CNS invasion prediction, while its specificity and sensitivity need further data validation.
Humans ; Lymphoma, T-Cell, Peripheral/pathology* ; Prognosis ; Retrospective Studies ; Central Nervous System Neoplasms/pathology* ; Neoplasm Invasiveness ; Male ; Female ; Central Nervous System/pathology* ; Middle Aged ; Adult

Objective To analyze the risk factors associated with the occurrence of rectal neuroendocrine tumors (RNETs) and construct a risk prediction model. Methods Clinical data of patients who underwent electronic colonoscopy were collected. The clinical information on patients with and without RNETs were compared, and potential risk factors for RNETs were identified. Binary logistic regression was performed to analyze the relevant risk factors and construct a risk prediction model. Results Among 164 patients, 66 were diagnosed with RNETs, and 98 who did not have such a condition were randomly selected. Univariate logistic regression analysis revealed that age, fatty liver, anxiety and depression, total cholesterol, triglyceride levels, and carcinoembryonic antigen (CEA) were significant factors influencing the occurrence of RNETs (P<0.05). Multivariate logistic regression analysis identified age (P=0.015), anxiety and depression (P=0.031), cholesterol level (P=0.009), fatty liver (P=0.001), and CEA (P<0.001) as independent risk factors for RNETs. The participants were randomly divided into training and test sets at a 7:3 ratio. The training set was used to construct a nomogram-based risk prediction model, and the testing set was used for internal validation. The area under the curve values for the training and testing sets were 0.843 and 0.772, respectively (P>0.05). These findings indicate a good discriminative performance. The calibration curves for the training and testing sets were in good agreement with the 45° standard line, which suggests that the predicted probabilities were consistent with the actual outcomes. Decision curve analysis showed that the model provided a high net benefit within a threshold range of 0.2 to 0.7 for clinical decision making. Conclusion Young age, fatty liver, high CEA levels, high cholesterol levels, and anxiety and depression are independent risk factors for RNETs. The nomogram model constructed based on these risk factors exhibits a strong capability to predict the occurrence of RNETs, and clinical intervention can be considered based on the predicted probability values.

Objective To explore the applicative value of blue Laser imaging combined with magnifying endoscope(BLI+ME)system for the lesion of esophagogastric junction(EGJ).Methods Retrospective study endoscopic and pathological reported during February 2022 to February 2024.6 803 patients who met the inclusion and exclusion criteria were enrolled.They were divided into BLI+ME group(2 931 cases)and white light imaging group(WLI group,3 872 cases)according to the different gastroscopy types used in the examination.Finally,the EGJ biopsy rate,positive biopsy rate,detection rate of various lesions and early diagnosis rate between the two groups were compared.Results The biopsy rate of the BLI+ME group was 27.60%,the positive biopsy rate was 68.73%,and the detection rate of all the lesions was 20.74%,the detection rate of non-cancerous lesions was 20.30%,the detection rate of early cancer was 0.10%,the detection rate of non-cancerous lesions above the dentate line was 5.53%,the detection rate of non-cancerous lesions below the dentate line was 14.77%,the detection rate of cancerous lesions below the dentate line was 0.27%,significantly higher than those of the WLI group,which the biopsy rate was 17.74%,the positive biopsy rate was 60.26%,and the detection rate of all the lesions was 11.90%,the detection rate of non-cancerous lesions was 11.67%,the detection rate of early cancer was 0.00%,the detection rate of non-cancerous lesions above the dentate line was 3.49%,the detection rate of non-cancerous lesions below the dentate line was 8.19%,the detection rate of cancerous lesions below the dentate line was 0.05%,the differences were statistically significant(P＜0.05).Conclusion The BLI+ME system can enhance the biopsy rate,positive biopsy rate,the detection rate of all the lesions,early cancer detection rate,non-cancerous lesions detection rate above and below the dentate line,and cancerous lesions detection rate below the dentate line at the EGJ.It is helpful to improve the early diagnosis rate and early treatment rate of EGJ.It is worthy of clinical application.

High mobility group box protein 1(HMGB1)is one of the most widely expressed protein member in the HMGs family,which is well known for its involvement in the body inflammatory response.Previous researches have found that it plays a significant role in cell migration,immune identification and neuroprotection.Spinal cord injury is a disease that causes severe damage to the nervous system,and neural circuits are disrupted after a spinal cord injury,which leads to many conditions including ischemia and hypoxia,inflammatory responses,demyelinating lesions,and glial scar formation that are detrimental to nerve regeneration and repair,making it one of the most difficult diseases to treat in the modern spinal surgery field.HMGB1 is upregulated after spinal cord injury,thereby regulating neuroinflam-matory responses,and participating in the neuronal apoptosis,promoting neuronal regeneration,and inducing neural stem cell differentiation and migration,which plays an important role in the process of neural function recovery.This paper summarizes the structure and function of HMGB1,as well as its role in spinal cord injury,in order to provide direction for founding therapeutic target for neurological function recovery after spinal cord injury.

High mobility group box protein 1(HMGB1)is one of the most widely expressed protein member in the HMGs family,which is well known for its involvement in the body inflammatory response.Previous researches have found that it plays a significant role in cell migration,immune identification and neuroprotection.Spinal cord injury is a disease that causes severe damage to the nervous system,and neural circuits are disrupted after a spinal cord injury,which leads to many conditions including ischemia and hypoxia,inflammatory responses,demyelinating lesions,and glial scar formation that are detrimental to nerve regeneration and repair,making it one of the most difficult diseases to treat in the modern spinal surgery field.HMGB1 is upregulated after spinal cord injury,thereby regulating neuroinflam-matory responses,and participating in the neuronal apoptosis,promoting neuronal regeneration,and inducing neural stem cell differentiation and migration,which plays an important role in the process of neural function recovery.This paper summarizes the structure and function of HMGB1,as well as its role in spinal cord injury,in order to provide direction for founding therapeutic target for neurological function recovery after spinal cord injury.

Soy is a vital source of plant carbohydrates.However,it poses significant allergenic risks,particularly to young children and animals.Among the various proteins in soy,β-conglycinin,which con-stitutes approximately 30％of total soy carbohydrates,is a primary allergen.Undigested β-conglycinin can lead to intestinal damage by inhibiting cell growth,disrupting the cytoskeleton,and inducing apopto-sis.It can also enter the lymphatic and circulatory systems,triggering allergic reactions.Conventional ELISA methods for detecting β-conglycinin rely on polyclonal or monoclonal antibodies,which are limited by their large molecular weight,difficulty in accessing the protein core,and sensitivity to acidic and bas-ic conditions.To address these limitations,this study aimed to develop nanobodies(Nbs)against β-con-glycinin.Nbs,derived from the variable regions of heavy-chain antibodies found in camelids,have a mo-lecular weight approximately one-tenth that of conventional antibodies.They offer advantages such as small size,stable structure,high specificity,and strong affinity.A female alpacas was immunized five times using β-conglycinin,which showed a heavy chain antibody potency of 1∶16 000 by ELISA.Pe-ripheral blood lymphocytes were subsequently isolated and total RNA was extracted.The variable region of the heavy-chain antibody was amplified via PCR,and recombinant plasmids were constructed and transformed into the E.coli competency strain ER2738.The resulting library contained about 3.5×108 CFU/mL,which increased to 1.15×1012 PFU/mL after phage rescue,with a 100％Nbs gene insertion rate,indicating high diversity.Its Nbs phage output was significantly enriched by four rounds of solid-phase elution with an enrichment rate of 155.9.Four rounds of solid-phase panning yielded 35 positive clones,all of which shared the same amino acid sequence upon sequencing.The selected Nb was ex-pressed in a prokaryotic system,and its binding ability to β-conglycinin was confirmed using Western blotting and ELISA.The results demonstrated excellent specificity and affinity.This research lays the groundwork for developing a rapid and efficient detection method for β-conglycinin using Nbs,potentially enhancing food safety and allergen management.

Objective To explore the applicative value of blue Laser imaging combined with magnifying endoscope(BLI+ME)system for the lesion of esophagogastric junction(EGJ).Methods Retrospective study endoscopic and pathological reported during February 2022 to February 2024.6 803 patients who met the inclusion and exclusion criteria were enrolled.They were divided into BLI+ME group(2 931 cases)and white light imaging group(WLI group,3 872 cases)according to the different gastroscopy types used in the examination.Finally,the EGJ biopsy rate,positive biopsy rate,detection rate of various lesions and early diagnosis rate between the two groups were compared.Results The biopsy rate of the BLI+ME group was 27.60%,the positive biopsy rate was 68.73%,and the detection rate of all the lesions was 20.74%,the detection rate of non-cancerous lesions was 20.30%,the detection rate of early cancer was 0.10%,the detection rate of non-cancerous lesions above the dentate line was 5.53%,the detection rate of non-cancerous lesions below the dentate line was 14.77%,the detection rate of cancerous lesions below the dentate line was 0.27%,significantly higher than those of the WLI group,which the biopsy rate was 17.74%,the positive biopsy rate was 60.26%,and the detection rate of all the lesions was 11.90%,the detection rate of non-cancerous lesions was 11.67%,the detection rate of early cancer was 0.00%,the detection rate of non-cancerous lesions above the dentate line was 3.49%,the detection rate of non-cancerous lesions below the dentate line was 8.19%,the detection rate of cancerous lesions below the dentate line was 0.05%,the differences were statistically significant(P＜0.05).Conclusion The BLI+ME system can enhance the biopsy rate,positive biopsy rate,the detection rate of all the lesions,early cancer detection rate,non-cancerous lesions detection rate above and below the dentate line,and cancerous lesions detection rate below the dentate line at the EGJ.It is helpful to improve the early diagnosis rate and early treatment rate of EGJ.It is worthy of clinical application.

Objective To explore characteristics of clinical parameters and cytokines in patients with drug-induced liver injury(DILI)caused by different drugs and their correlation with clinical indicators. Method The study was conducted on patients who were up to Review of Uncertainties in Confidence Assessment for Medical Tests(RUCAM)scoring criteria and clinically diagnosed with DILI.Based on Chinese herbal medicine,cardiovascular drugs,non-steroidal anti-inflammatory drugs(NSAIDs),anti-infective drugs,and other drugs,patients were divided into five groups.Cytokines were measured by Luminex technology.Baseline characteristics of clinical biochemical indicators and cytokines in DILI patients and their correlation were analyzed. Results 73 patients were enrolled.Age among five groups was statistically different(P=0.032).Alanine aminotransferase(ALT)(P=0.033)and aspartate aminotransferase(AST)(P=0.007)in NSAIDs group were higher than those in chinese herbal medicine group.Interleukin-6(IL-6)and tumor necrosis factor alpha(TNF-α)in patients with Chinese herbal medicine(IL-6:P<0.001;TNF-α:P<0.001)and cardiovascular medicine(IL-6:P=0.020;TNF-α:P=0.001)were lower than those in NSAIDs group.There was a positive correlation between ALT(r=0.697,P=0.025),AST(r=0.721,P=0.019),and IL-6 in NSAIDs group. Conclusion Older age may be more prone to DILI.Patients with NSAIDs have more severe liver damage in early stages of DILI,TNF-α and IL-6 may partake the inflammatory process of DILI.

Objective:To explore the influencing factors of left ventricular thrombus (LVT) in patients with non-ischemic heart failure (NIHF) and to construct a nomogram prediction model for NIHF patients with LVT.Methods:This study was a case-control study. A total of 2 592 patients with NIHF hospitalized in Beijing Anzhen Hospital affiliated to Capital Medical University from January 2018 to July 2022 were selected. Fifty-one patients with LVT identified by echocardiography and cardiac magnetic resonance were classified into LVT group. One hundred and sixty patients were selected as the non-LVT group using a 1∶3 propensity score matching based on age and gender. Multivariate logistic regression analysis was used to explore the influencing factors of LVT in patients with NIHF. A nomogram prediction model was constructed, and the area under (AUC) the receiver operating characteristic (ROC) curve was calculated to evaluate the predictive effect of the model.Results:A total of 211 patients were enrolled, with a median age of 40 years old and 160 males (76%). Compared with non-LVT group, LVT group had lower systolic blood pressure ((112±20) mmHg vs. (120±19) mmHg; 1 mmHg=0.133 kPa), lower left ventricular ejection fraction (LVEF; (27±12)% vs. (39±14)% ), lower proportion of patients with history of hypertension (28% (14/51) vs. 44% (70/160)) and atrial fibrillation (8% (4/51)vs.39% (62/160)), higher proportion of patients with New York Heart Association functional class Ⅲ to Ⅳ (class Ⅲ: 59% (30/51) vs. 41% (66/160); class Ⅳ: 28% (14/51) vs. 19% (31/160)), and larger left ventricular end-systolic diameter (LVESD; (56±14) mm vs. (50±15) mm). The levels of hemoglobin ((152±23) g/L vs. (142±30) g/L), D-dimer (508 (300, 1 105) μg/L vs. 158 (68, 379) μg/L), and N-terminal pro-brain natriuretic peptide (3 429 (2 462, 4 734) ng/L vs. 1 288 (422, 2 544) ng/L) were higher in LVT group than in non-LVT group ( P all<0.05). LVT group had a higher proportion of patients using beta-blockers (92% (47/51) vs. 78% (124/160)), angiotensin-converting enzyme inhibitors or angiotensin receptor blockers or angiotensin receptor neprilysin inhibitors (88% (45/51) vs. 72% (115/160)), and anticoagulant drugs (98% (50/51) vs. 32% (51/160)) than non-LVT group (all P <0.05). Multivariate logistic regression showed that reduced LVEF ( OR=1.08, 95% CI 1.02-1.15, P=0.008), decreased LVESD ( OR=1.07, 95% CI 1.01-1.12, P=0.013), and increased D-dimer levels ( OR=5.40, 95% CI 1.98-14.74, P=0.001) were independent influencing factors for LVT in patients with NIHF. The ROC curve showed that the AUC of the nomogram for predicting LVT in patients with NIHF was 0.793 (95% CI 0.710-0.876, P<0.001). Conclusion:Reduced LVEF, decreased LVESD, and elevated D-dimer are associated with LVT in NIHF patients. The predictive model developed based on the above indicators has certain value in predicting LVT in NIHF patients.