[Objective] To investigate the infection status and characteristics of HEV among voluntary blood donors in Ningbo, and to provide a basis for improving the blood screening strategy. [Methods] A total of 12 227 blood samples from voluntary blood donors in Ningbo from June 2022 to May 2023 were tested for HEV serology, enzymology, and nucleic acid testing. Furthermore, HEV gene sequencing was performed for genotyping analysis, and donors with reactive nucleic acid testing results were followed up to confirm their infection status. [Results] The reactivity rate of HEV Ag, anti-HEV IgM and anti-HEV IgG was 0.098%, 0.899% and 29.198%, respectively. There was no difference in the reactivity of anti-HEV IgM and anti-HEV IgG between genders, donation frequencies and donation types (P>0.05). The reactivity rate increased significantly with age (P<0.05). The rate of ALT disqualification (ALT>50U/L) was significantly higher than that in non-reactive samples (P<0.05). The HEV Ag reactivity rate (0.098%) was not correlated with gender, donation frequency, donation type or age. One HEV RNA positive case was found, with a positive rate of 0.008%(1/12 227). It was confirmed to be hepatitis E virus genotype 3 by sequencing analysis. Apart from HEV Ag reactivity, all other blood safety screening items were non-reactive, suggesting this case might be in the acute infection phase. The follow-up results showed that all indicators of the donor's previous blood donation were non-reactive. [Conclusion] Pre-donation ALT detection can reduce the risk of transfusion-transmitted HEV (TT-HEV) to a certain extent, and the effective way to prevent TT-HEV is to detect HEV RNA and serology of donor blood.

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 CD36 gene by PacBio Sequel Ⅱ the third-generation sequencing technology (TGS), including non-coding sequence, and to investigate the molecular mechanism of CD36 deficiency. Methods: Flow cytometry was performed in the southern Chinese population to detect the CD36 phenotype. Among them, 15 cases of CD36 type I deficiency, 15 cases of CD36 type Ⅱ deficiency, and 10 positive samples were selected. The TGS of the CD36 gene was performed and statistical analysis was conducted. Results: 40 samples (including 15 cases of type I deficiency, 15 cases of type Ⅱ deficiency, and 10 positive samples) were subjected by TGS of CD36 full-length sequences (except part of intron1). A total of 180 polymorphic loci were identified. Among them, 13 kinds were in the coding region, the rest were in non-coding region, with most mutations located in regulatory regions such as the 5′-UTR and 3′-UTR. Conclusion: The high polymorphism of CD36 non-coding regions, particularly in regulatory sequences, provides mechanistic insights into type Ⅱ CD36 deficiency.

OBJECTIVE: Diabetes-induced gastrointestinal (GI) motility disorders are increasingly prevalent. Damage to the enteric nervous system (ENS), composed primarily of enteric neurons and glial cells, is an essential mechanism involved in these disorders. Although electroacupuncture (EA) has shown the potential to mitigate enteric neuronal loss, its mechanism is not fully understood. Additionally, the effects of EA on enteric glial cells have not been investigated. Enteric neural precursor cells (ENPCs) contribute to the structural and functional integrity of the ENS, yet whether EA enhances their differentiation into enteric neurons and glial cells remains unexplored. This study investigates whether EA promotes ENS repair through enhancing ENPC-derived neurogenesis and gliogenesis and elucidates the potential molecular mechanisms involved. METHODS: Transgenic mice were used to trace Nestin⁺/nerve growth factor receptor (Ngfr)⁺ ENPCs labeled with green fluorescent protein (GFP) in vivo. Mice were randomly divided into four groups: control, diabetes mellitus (DM), DM + sham EA, and DM + EA. The effects of EA on diabetic mice were evaluated by GI motility, ENS structure, and ENPC differentiation. Glial cell line-derived neurotrophic factor (GDNF)/Ret signaling was detected to clarify the underlying molecular mechanisms. RESULTS: EA alleviated diabetes-induced GI motility disorders, as indicated by reduced whole gut transit time, shortened colonic bead expulsion time, and enhanced smooth muscle contractility. Furthermore, EA attenuated diabetes-induced losses of enteric neurons and glial cells, thereby restoring ENS integrity. Notably, EA reversed the diabetes-induced decrease in ENPCs and significantly increased the absolute number and the proportion of ENPC-derived enteric neurons. However, immunofluorescence analyses revealed no colocalization between EA-induced glial fibrillary acidic protein⁺ glial cells and GFP-labeled ENPCs. Mechanistically, GDNF/Ret signaling was elevated in intestinal tissues and upregulated in ENPCs in EA-treated diabetic mice. CONCLUSION EA facilitates ENS repair by promoting Nestin⁺/Ngfr⁺ ENPC differentiation into enteric neurons via upregulation of GDNF/Ret signaling, and driving enteric gliogenesis from non-Nestin⁺/Ngfr⁺ ENPCs. These findings highlight EA's role in ameliorating diabetes-induced GI dysmotility through ENPC-derived ENS restoration. Please cite this article as: Guo JL, Liu S, Ding SJ, Yang X, Du F. Electroacupuncture at ST36 improves gastrointestinal motility disorders by promoting enteric nervous system regeneration through GDNF/Ret signaling in diabetic mice. J Integr Med. 2025; 23(5):548-559.
Animals ; Electroacupuncture ; Enteric Nervous System/physiology* ; Gastrointestinal Motility/physiology* ; Glial Cell Line-Derived Neurotrophic Factor/metabolism* ; Diabetes Mellitus, Experimental/therapy* ; Signal Transduction ; Mice ; Gastrointestinal Diseases/physiopathology* ; Proto-Oncogene Proteins c-ret/metabolism* ; Mice, Transgenic ; Male ; Nerve Regeneration ; Neural Stem Cells ; Mice, Inbred C57BL ; Acupuncture Points

Heat stroke is a heat-related illness caused by an imbalance between the body's heat production and heat dissipation,which could lead to multiple organ dysfunction syndrome with a high mortality rate.Rapid and effective reduction of core body temperature is key to successful treatment.This article reviews recent progress in the treatment of heat stroke,including new understandings of organ injury mechanisms,the timing,velocity and goals of cooling treatment,evaluation and selection of traditional cooling techniques(such as cold water immersion),and scientific evaluation of new cooling technologies(such as blood purification technology and intravascular heat exchange cooling technology),aiming to promote understanding and treatment of heat stroke.

This study aims to comprehensively analyze the material basis of toad visceral oil(hereafter referred to as toad oil), and explore the pharmacological effect of toad oil on atopic dermatitis(AD). Ultra-high performance liquid chromatography-linear ion trap/orbitrap high-resolution mass spectrometry(UHPLC-LTQ-Orbitrap-MS) and gas chromatography-mass spectrometry(GC-MS) were employed to comprehensively identify the chemical components in toad oil. The animal model of AD was prepared by the hapten stimulation method. The modeled animals were respectively administrated with positive drug(0.1% hydrocortisone butyrate cream) and low-and high-doses(1%, 10%) of toad oil by gavage. The effect of toad oil on AD was evaluated with the AD score, ear swelling rate, spleen index, and pathological section results as indicators. A total of 99 components were identified by UHPLC-LTQ-Orbitrap-MS, including 14 bufadienolides, 7 fatty acids, 6 alkaloids, 10 ketones, 18 amides, and other compounds. After methylation of toad oil samples, a total of 20 compounds were identified by GC-MS. Compared with the model group, the low-and high-dose toad oil groups showed declined AD score, ear swelling rate, and spleen index, alleviated skin lesions, and reduced infiltrating mast cells. This study comprehensively analyzes the chemical composition and clarifies the material basis of toad oil. Meanwhile, this study proves that toad oil has a good therapeutic effect on AD and is a reserve resource of traditional Chinese medicine for external use in the treatment of AD.
Animals ; Dermatitis, Atopic/immunology* ; Disease Models, Animal ; Mice ; Male ; Gas Chromatography-Mass Spectrometry ; Humans ; Bufonidae ; Oils/administration & dosage* ; Chromatography, High Pressure Liquid ; Female ; Mice, Inbred BALB C

Objective To establish a liquid chromatography-tandem mass spectrometry(LC-MS/MS)method for the determination of ginsenoside Rh2(GRh2)in plasma of mice,so as to provide preclinical data support for the pharmacokinetic study and application of GRh2.Methods C57BL16 mice were given 7.5 mg/kg GRh2 by gavage.After administration,0.03 mL of whole blood was collected at 5 min,10 min,15 min,30 min,1 h,2 h,4 h,and 8 h.Then,the whole blood was centrifuged and the serum was treated with 0.1％formic acid acetonitrile,dried by nitrogen(40℃),and redissolved with 50.0 pL 50％methanol solution containing 100 ng/mL diclofenac sodium.After vortex mixing for 5 min at room temperature,it was put into the automatic sampler for sampling analysis.The chromatographic column was Waters BEHC18(2.1 mm × 50.0 mm,1.7 pm),the mobile phase was aqueous solution containing 0.1％formic acid and acetonitrile solution containing 0.1％formic acid at a flow rate of 0.60 mL/min,the column temperature was 40℃,and the injection volume was 1.00 pL.The electric spray ion source,positive ion mode and multiple reaction monitoring mode were performed.A standard curve was established to calculate blood drug concentration.The blood drug concentration-time curve was established according to the blood drug concentration,and the main pharmacokinetic parameters were calculated.Results The linear range of the standard curve of drug containing plasma was 100-40 000 ng/mL,and the correlation coefficient(r)was 0.996 0.After internal standard normalization,the matrix effect factors of GRh2 were 1.09,1.06,and 1.00(between 0.8 and 1.2),indicating no significant matrix effect.The precision and accuracy results showed that the average measured concentration of GRh2 samples at each concentration level was 103,333,23 800 and 35 000 ng/mL,the inter batch standard deviation was 6.47-1 120 ng/mL,the inter batch relative standard deviation was 1.5％-8.3％,and the inter batch accuracy deviation was 93.3％-111.1％.The long-term stability,short-term stability,repeated freeze-thaw property,and extraction recovery rate of GRh2 were all good.The pharmacokinetic parameters Tmax and Cmax of GRh2 in mice were(1.42±1.01)h and(1 251±495)ng/mL,respectively,indicating that the absorption and utilization rate of GRh2 in vivo was high and GRh2 had good drug performance.Conclusion The established LC-MS/MS method is accurate and reliable,and can be used to determine the concentration of GRh2 in mouse plasma and study its pharmacokinetic.