1.Hypoglycemic Effect and Mechanism of ICK Pattern Peptides
Lin-Fang CHEN ; Jia-Fan ZHANG ; Ye-Ning GUO ; Hui-Zhong HUANG ; Kang-Hong HU ; Chen-Guang YAO
Progress in Biochemistry and Biophysics 2025;52(1):50-60
Diabetes is a very complex endocrine disease whose common feature is the increase in blood glucose concentration. Persistent hyperglycemia can lead to blindness, kidney and heart disease, neurodegeneration, and many other serious complications that have a significant impact on human health and quality of life. The number of people with diabetes is increasing yearly. The global diabetes prevalence in 20-79 year olds in 2021 was estimated to be 10.5% (536.6 million), and it will rise to 12.2% (783.2 million) in 2045. The main modes of intervention for diabetes include medication, dietary management, and exercise conditioning. Medication is the mainstay of treatment. Marketed diabetes drugs such as metformin and insulin, as well as GLP-1 receptor agonists, are effective in controlling blood sugar levels to some extent, but the preventive and therapeutic effects are still unsatisfactory. Peptide drugs have many advantages such as low toxicity, high target specificity, and good biocompatibility, which opens up new avenues for the treatment of diabetes and other diseases. Currently, insulin and its analogs are by far the main life-saving drugs in clinical diabetes treatment, enabling effective control of blood glucose levels, but the risk of hypoglycemia is relatively high and treatment is limited by the route of delivery. New and oral anti-diabetic drugs have always been a market demand and research hotspot. Inhibitor cystine knot (ICK) peptides are a class of multifunctional cyclic peptides. In structure, they contain three conserved disulfide bonds (C3-C20, C7-C22, and C15-C32) form a compact “knot” structure, which can resist degradation of digestive protease. Recent studies have shown that ICK peptides derived from legume, such as PA1b, Aglycin, Vglycin, Iglycin, Dglycin, and aM1, exhibit excellent regulatory activities on glucose and lipid metabolism at the cellular and animal levels. Mechanistically, ICK peptides promote glucose utilization by muscle and liver through activation of IR/AKT signaling pathway, which also improves insulin resistance. They can repair the damaged pancrease through activation of PI3K/AKT/Erk signaling pathway, thus lowering blood glucose. The biostability and hypoglycemic efficacy of the ICK peptides meet the requirements for commercialization of oral drugs, and in theory, they can be developed into natural oral anti-diabetes peptide drugs. In this review, the structural properties, activity and mechanism of ICK pattern peptides in regulating glucose and lipid metabolism were summaried, which provided a reference for the development of new oral peptides for diabetes.
2.Cloning, subcellular localization and expression analysis of SmIAA7 gene from Salvia miltiorrhiza
Yu-ying HUANG ; Ying CHEN ; Bao-wei WANG ; Fan-yuan GUAN ; Yu-yan ZHENG ; Jing FAN ; Jin-ling WANG ; Xiu-hua HU ; Xiao-hui WANG
Acta Pharmaceutica Sinica 2025;60(2):514-525
The auxin/indole-3-acetic acid (Aux/IAA) gene family is an important regulator for plant growth hormone signaling, involved in plant growth, development, as well as response to environmental stresses. In the present study, we identified
3.Treatment of Insomnia Using the Method of Resolving Depression and Regulating the Middle and Tranquillising Mind
Chengyun HU ; Jun ZHANG ; Qian GUO ; Shuting DU ; Zhihao LIN ; Bing GAO ; Hui HUANG
Journal of Traditional Chinese Medicine 2025;66(12):1277-1280
To summarise the clinical experience of treating insomnia with the method of resolving depression, regulating the middle, and tranquilising mind. It is believed that the key to the pathogenesis of insomnia lies in qi depression, disharmony of qi pivot, and disharmony of qi and blood, and the core treatment is to resolve depression, regulating the middle, and tranquilising mind. The self-prescribed Jieyu Anmian Formula (解郁安眠方) could be used as the basic treatment, then modified according to the performance of the patient and syndromes. For syndrome of liver depression restricting spleen, the treatment should soothe liver and invigorate spleen, resolve depression and regulate the middle; for syndrome of liver depression and phlegm coagulation, the treatment should resolve depression and phlegm, support the earth and free the wood; for syndrome of liver depression transforming into fire, the treatment should soothe liver and clear fire, resolve depression and dysphoria; for syndrome of qi stagnation and blood stasis, the treatment should activate blood and regulate the middle, resolve depression and tranquilise mind.
4.Analysis of prognostic risk factors for chronic active antibody-mediated rejection after kidney transplantation
Yu HUI ; Hao JIANG ; Zheng ZHOU ; Linkun HU ; Liangliang WANG ; Hao PAN ; Xuedong WEI ; Yuhua HUANG ; Jianquan HOU
Organ Transplantation 2025;16(4):565-573
Objective To investigate the independent risk factors affecting the prognosis of chronic active antibody-mediated rejection (caAMR) after kidney transplantation. Methods A retrospective analysis was conducted on 61 patients who underwent renal biopsy and were diagnosed with caAMR. The patients were divided into caAMR group (n=41) and caAMR+TCMR group (n=20) based on the presence or absence of concurrent acute T cell-mediated rejection (TCMR). The patients were followed up for 3 years. The value of 24-hour urinary protein and estimated glomerular filtration rate (eGFR) at the time of biopsy in predicting graft loss was assessed using receiver operating characteristic (ROC) curves. The independent risk factors affecting caAMR prognosis were analyzed using the LASSO-Cox regression model. The correlation between grouping, outcomes, and Banff scores was compared using Spearman rank correlation matrix analysis. Kaplan-Meier analysis was used to evaluate the renal allograft survival rates of each subgroup. Results The 3-year renal allograft survival rates for the caAMR group and the caAMR+TCMR group were 83% and 79%, respectively. The area under the ROC curve (AUC) for predicting 3-year renal allograft loss was 0.83 [95% confidence interval (CI) 0.70-0.97] for eGFR and 0.78 (95% CI 0.61-0.96) for 24-hour urinary protein at the time of biopsy. LASSO-Cox regression analysis and Kaplan-Meier analysis showed that eGFR≤25.23 mL/(min·1.73 m²) and the presence of donor-specific antibody (DSA) against human leukocyte antigen (HLA) class I might be independent risk factors affecting renal allograft prognosis, with hazard ratios of 7.67 (95% CI 2.18-27.02) and 5.13 (95% CI 1.33-19.80), respectively. A strong correlation was found between the Banff chronic lesion indicators of renal interstitial fibrosis and tubular atrophy (P<0.05). Conclusions The presence of HLA class I DSA and eGFR≤25.23 mL/(min·1.73 m²) at the time of biopsy may be independent risk factors affecting the prognosis of caAMR.
5.Correlation between Kayser-Fleischer ring grading and cognitive function in Wilson’s disease
Wei HE ; Yulong YANG ; Wenming YANG ; Yue YANG ; Chen HU ; Hui LI ; Peng HUANG
Journal of Clinical Hepatology 2025;41(6):1150-1155
ObjectiveTo investigate the correlation with cognitive function based on a new Kayser-Fleischer ring (K-F ring) grading method in Wilson’s disease (WD). MethodsA total of 136 WD patients who were hospitalized in Encephalopathy Center, The First Affiliated Hospital of Anhui University of Chinese Medicine, from April 2022 to October 2023 were enrolled. All subjects underwent slit lamp examination, and the grade of K-F ring was determined according to the shape and extent of copper deposition in the cornea, whether it formed a ring or not, and whether there was a sunflower-like cloudy change in the lens. The patients were instructed to complete UWDRS, MoCA, and MMSE scale assessments, and these indicators were compared between patients with different K-F ring grades. An analysis of variance was used for comparison of normally distributed continuous data between multiple groups, and the least significant difference t-test (homogeneity of variance) or the Dunnett’s T3 test (heterogeneity of variance) was used for further multiple comparisons; the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups; the chi-square test was used for comparison of categorical data between groups. The Spearman correlation analysis was used to investigate the correlation of K-F ring grade with UWDRS, MoCA, and MMSE scores. ResultsAmong the 136 patients with WD, there were 40 patients with grade 4 K-F ring, accounting for the highest proportion of 29.4%, and 14 patients with grade 0 K-F ring, accounting for the lowest proportion of 10.3%, and there were 22 patients with grade 1 K-F ring (16.2%), 19 with grade 2 K-F ring (14%), 25 with grade 3 K-F ring (18.4%), and 16 with grade 5 K-F ring (11.7%). According to the different grades of K-F ring, there was a significant increase in UWDRS score (F=22.61, P<0.001) and significant reductions in MoCA and MMSE scores (F=16.40 and 13.80, both P<0.001). The Spearman correlation analysis showed that K-F ring grade was positively correlated with UWDRS score (r=0.67, P<0.01) and was negatively correlated with MoCA and MMSE scores in WD patients (r=-0.59 and -0.57, both P<0.01). ConclusionThe new K-F ring grading method can determine disease severity in WD patients to a certain degree and partially reflect cognitive function and activities of daily living in such patients.
6.Application and Advance of Image Compression Algorithms in Medical Imaging
Jiawen SHANG ; Peng HUANG ; Zhixing CHANG ; Yuhan FAN ; Zhihui HU ; Ke ZHANG ; Jianrong DAI ; Hui YAN
Medical Journal of Peking Union Medical College Hospital 2025;16(5):1281-1290
Medical imaging technology plays a crucial role in clinical diagnosis and treatment. Image compression technology provides robust technical support for the storage and transmission of massive medical imaging data, serving as an effective safeguard for hospital data backup and telemedicine. The technology holds broad application prospects in the medical field, enabling the processing of various imaging modalities, multidimensional imaging, and medical video imaging. This study elaborates on general image and video compression algorithms, the application of compression algorithms in the medical field, and the performance metrics of medical image compression, thereby providing critical technical support for enhancing clinical diagnostic efficiency and data management security.
7.Expert consensus on clinical protocol for treating herpes zoster with fire needling.
Xiaodong WU ; Bin LI ; Baoyan LIU ; Lin HE ; Zhishun LIU ; Shixi HUANG ; Keyi HUI ; Hongxia LIU ; Yuxia CAO ; Shuxin WANG ; Zhe XU ; Cang ZHANG ; Jingsheng ZHAO ; Yali LIU ; Nanqi ZHAO ; Nan DING ; Jing HU
Chinese Acupuncture & Moxibustion 2025;45(12):1825-1832
The expert consensus on the clinical treatment of herpes zoster with fire needling was developed, and the commonly used fire needling treatment scheme verified by clinical research was selected to form a standardized diagnosis and treatment scheme for acute herpes zoster and postherpetic neuralgia (PHN), so as to answer the core problems in clinical application. The consensus focuses on patients with herpes zoster, and forms recommendations for 9 key clinical issues, covering simple fire needling and TCM comprehensive therapy based on fire needling, including fire needling combined with cupping, fire needling combined with Chinese herb, fire needling combined with cupping and Chinese herb, fire needling combined with filiform needling, fire needling combined with moxibustion, and provides specific recommendations and operational guidelines for various therapies.
Humans
;
Herpes Zoster/therapy*
;
Acupuncture Therapy/instrumentation*
;
Consensus
;
Clinical Protocols
8.Antidepressant mechanism of Baihe Dihuang Decoction based on metabolomics and network pharmacology.
Chao HU ; Hui YANG ; Hong-Qing ZHAO ; Si-Qi HUANG ; Hong-Yu LIU ; Shui-Han ZHANG ; Lin TANG
China Journal of Chinese Materia Medica 2025;50(1):10-20
The Baihe Dihuang Decoction(BDD) is a representative traditional Chinese medicine formula that has been used to treat depression. This study employed metabolomics and network pharmacology to investigate the mechanism of BDD in the treatment of depression. Fifty male Sprague-Dawley(SD) rats were randomly assigned to the normal control group, model group, fluoxetine group, and high-and low-dose BDD groups. A rat model of depression was established through chronic unpredictable mild stress(CUMS), and the behavioral changes were detected by forced swimming test and open field test. Metabolomics technology was used to analyze the metabolic profiles of serum and hippocampal tissue to screen differential metabolites and related metabolic pathways. Additionally, network pharmacology and molecular docking techniques were used to investigate the key targets and core active ingredients of BDD in improving metabolic abnormalities of depression. A "component-target-metabolite-pathway" regulatory network was constructed. BDD could significantly improve depressive-like behavior in CUMS rats and regulate 12 differential metabolites in serum and 27 differential metabolites in the hippocampus, involving tryptophan metabolism, phenylalanine, tyrosine, and tryptophan biosynthesis, alanine, aspartate, and glutamate metabolism, tyrosine metabolism, and purine metabolism. Verbascoside, isorbascoside, and regaloside B were the key active ingredients for improving metabolic abnormalities in depression. Epidermal growth factor receptor(EGFR), protooncogene tyrosine-protein kinase(SRC), glycogen synthase kinase 3β(GSK3β), and androgen receptor(AR) were the key core targets for improving metabolic abnormalities of depression. This study offered a preliminary insight into the mechanism of BDD in alleviating metabolic abnormalities of depression through network regulation, providing valuable guidance for its clinical use and subsequent research.
Animals
;
Drugs, Chinese Herbal/administration & dosage*
;
Male
;
Rats, Sprague-Dawley
;
Rats
;
Metabolomics
;
Depression/genetics*
;
Antidepressive Agents/chemistry*
;
Network Pharmacology
;
Hippocampus/drug effects*
;
Humans
;
Molecular Docking Simulation
;
Behavior, Animal/drug effects*
;
Disease Models, Animal
9.Risk factors and development of a prediction model of enteral feeding intolerance in critically ill children.
Xia ZHOU ; Hong-Mei GAO ; Lin HUANG ; Hui-Wu HAN ; Hong-Ling HU ; You LI ; Ren-He YU
Chinese Journal of Contemporary Pediatrics 2025;27(3):321-327
OBJECTIVES:
To explore the risk factors of feeding intolerance (FI) in critically ill children receiving enteral nutrition (EN) and to construct a prediction nomogram model for FI.
METHODS:
A retrospective study was conducted to collect data from critically ill children admitted to the Pediatric Intensive Care Unit of Xiangya Hospital, Central South University, between January 2015 and October 2020. The children were randomly divided into a training set (346 cases) and a validation set (147 cases). The training set was further divided into a tolerance group (216 cases) and an intolerance group (130 cases). Multivariate logistic regression analysis was used to screen for risk factors for FI in critically ill children receiving EN. A nomogram was constructed using R language, which was then validated on the validation set. The model's discrimination, calibration, and clinical net benefit were evaluated using receiver operating characteristic curves, calibration curves, and decision curves.
RESULTS:
Duration of bed rest, shock, gastrointestinal decompression, use of non-steroidal anti-inflammatory drugs, and combined parenteral nutrition were identified as independent risk factors for FI in critically ill children receiving EN (P<0.05). Based on these factors, a nomogram prediction model for FI in critically ill children receiving EN was developed. The area under the receiver operating characteristic curve for the training set and validation set was 0.934 (95%CI: 0.906-0.963) and 0.852 (95%CI: 0.787-0.917), respectively, indicating good discrimination of the model. The Hosmer-Lemeshow goodness-of-fit test showed that the model had a good fit (χ 2=12.559, P=0.128). Calibration curve and decision curve analyses suggested that the model has high predictive efficacy and clinical application value.
CONCLUSIONS
Duration of bed rest, shock, gastrointestinal decompression, use of non-steroidal anti-inflammatory drugs, and combined parenteral nutrition are independent risk factors for FI in critically ill children receiving EN. The nomogram model developed based on these factors exhibits high predictive efficacy and clinical application value.
Humans
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Critical Illness
;
Enteral Nutrition/adverse effects*
;
Male
;
Risk Factors
;
Female
;
Child, Preschool
;
Infant
;
Nomograms
;
Retrospective Studies
;
Child
;
Logistic Models
10.Characterization of Acute Myeloid Leukemia Patients with DEK-NUP214 Fusion Gene Positive.
Ran HUANG ; Yuan-Bing WU ; Ya-Xue WU ; Xiao-Hui HU
Journal of Experimental Hematology 2025;33(5):1293-1298
OBJECTIVE:
To analyze the clinical features of acute myeloid leukemia patients with DEK-NUP214 fusion gene positive.
METHODS:
The DEK-NUP214 fusion gene was amplified by multi-nested PCR in 26 patients admitted to the First Affiliated Hospital of Soochow University from January 2018 to October 2023, and the disease course and post-transplant survival data were obtained by searching outpatient and inpatient medical records and telephone follow-up.
RESULTS:
The median follow-up time of pateints was 21.25(0.9-60.2) months. Among 26 patients with DEK-NUP214 fusion gene positive AML, 15 patients had FLT3-ITD gene mutation positive. One patient died after abandoning treatment due to non-remission of induction chemotherapy, one died due to infection, and 23 patients received allo-HSCT after achieving CR, of which one patient died within one month after transplantation due to multiple infections and one died due to severe pulmonary infection that did not respond to treatment. One patient received allo-HSCT in non-remission state and later died due to recurrence.
CONCLUSION
DEK-NUP214 fusion gene positive AML is a type of acute leukemia subtype with high risk and poor prognosis. Allo-HSCT treatment at the early stage of disease remission is the most effective way to improve the prognosis of patients.
Humans
;
Leukemia, Myeloid, Acute/genetics*
;
Poly-ADP-Ribose Binding Proteins
;
Oncogene Proteins, Fusion/genetics*
;
Nuclear Pore Complex Proteins/genetics*
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Oncogene Proteins/genetics*
;
Chromosomal Proteins, Non-Histone/genetics*
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Male
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Female
;
Adult
;
Mutation
;
Hematopoietic Stem Cell Transplantation
;
Middle Aged

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