1.Genetic disease diagnosis and treatment in Shanghai: Survey and countermeasures for clinical genetics specialist training.
Xiaoju HUANG ; Lin HAN ; Li CAO ; Taosheng HUANG ; Duan MA ; Jian WANG ; Wenjuan QIU ; Fanyi ZENG ; Luming SUN ; Chenming XU ; Songchang CHEN ; Xinyu KUANG ; Hong TIAN
Chinese Journal of Medical Genetics 2026;43(4):241-247
OBJECTIVE:
To investigate the current status of clinical genetics specialization development and the diagnostic and therapeutic capabilities for hereditary diseases across medical institutions in Shanghai, and to assess the necessity and feasibility of establishing training bases for clinical genetics specialists.
METHODS:
By employing a cross-sectional survey design, the Clinical Genetics Committee of Shanghai Medical Association has conducted questionnaire surveys from March to April 2025 across 54 healthcare institutions in Shanghai (including 33 tertiary hospitals and 21 secondary hospitals). The survey involved administrative departments and medical personnel from 15 clinical specialties. The survey has covered current genetic disease diagnosis and treatment practices, relevant and specialised disease types, genetic department establishment, testing capabilities, personnel teams, and training requirements.
RESULTS:
The results revealed that 78.0% of clinical departments surveyed had treated patients with hereditary disorders. Shanghai possesses diagnostic and therapeutic expertise for over 95% of hereditary diseases listed in its rare disease catalogue, reflecting both the practical clinical demand for such conditions and the city's overall diagnostic and therapeutic strengths in this field. Nevertheless, significant disparities exist in the development of genetics departments across different tiers of healthcare institutions. Resources for genetic testing capabilities (including molecular, cellular, and biochemical testing) are also unevenly distributed across different tiers of hospitals. The survey further revealed that only 26.0% of departments believe that their current physician structure fully meets the diagnostic and treatment demands. Over 90% of departments consider standard training for clinical genetic specialists necessary, with 74.0% expressing willingness to participate in establishing training bases. Based on above findings and thorough deliberation, the Clinical Genetics Committee of the Shanghai Medical Association proposes advancing specialist training and discipline development through establishing a standard training system. The committee has drafted a three-year training protocol featuring a "joint training"-centered model, recommending a pilot-first, dynamically optimized strategy for steadily advancing training base development.
CONCLUSION
Shanghai faces substantial demand for genetic disease diagnosis and treatment, yet exhibits shortcomings in clinical genetics specialization development, resource allocation, and talent pipeline cultivation. To establish a standard training system holds significant practical importance and is underpinned by a broad demand.
Humans
;
China
;
Surveys and Questionnaires
;
Genetic Diseases, Inborn/genetics*
;
Cross-Sectional Studies
;
Genetics, Medical/education*
;
Genetic Testing
2.Application of peripheral blood inflammatory markers in prognosis evaluation of patients with acute-on-chronic liver failure
Xuefang YANG ; Xiaoqing YANG ; Haiwen MA ; Wenjuan SHI ; Hong WAN ; Jianyun WANG
Journal of Clinical Hepatology 2025;41(11):2418-2423
Acute-on-chronic liver failure (ACLF) refers to severe liver dysfunction that occurs on the basis of chronic liver diseases, and it is characterized by rapid disease progression, poor prognosis, and high mortality rate. In recent years, inflammatory markers have become a research hotspot due to their significant role in assessing the prognosis of ACLF. This article reviews the advances in the application of inflammatory markers in assessing the prognosis of ACLF, such as systemic immune inflammatory index, lymphocyte-white blood cell ratio, neutrophil-lymphocyte ratio, and C-reactive protein, and discusses their clinical value and future research directions, in order to provide a theoretical basis for the early intervention and prognosis management of ACLF patients.
3.The effect of family functioning on exercise adherence in elderly patients with postoperative vertebral compression fractures and adjacent vertebral re-fractures
Rui LI ; Hong SONG ; Chunyan ZHANG ; Liming GENG ; Wenjuan CAI ; Yifan LI
Chinese Journal of Nursing 2025;60(10):1164-1170
Objective To test the longitudinal mediating mechanism of kinesophobia between family functioning and exercise adherence in elderly patients with postoperative adjacent vertebral re-fracture after osteoporotic vertebral compression fracture(OVCF).Methods Convenience sampling method was used to admit to the Department of Orthopaedics of a tertiary hospital in Xuzhou City with adjacent vertebral re-fracture after OVCF were conveniently selected as the survey subjects,and longitudinal investigation was conducted using the APGAR,Functional Exercise Adherence Scale,and TSK Scale.Unconditional potential growth model,structural equation and Bootstrap method were used for statistical analysis.Results A total of 232 valid questionnaires were collected.Longitudinal mediation modeling revealed that the intercept of family functioning significantly negatively predicted the intercept of kinesophobia(β=-0.456,P<0.001)and the slope of family functioning significantly negatively predicted the slope of kinesophobia(β=-0.962,P<0.001).The intercept for kinesophobia significantly negatively predicted the intercept for exercise adherence(β=-0.623,P<0.001)and significantly negatively predicted the slope for exercise adherence(β=-0.354,P=0.013).Conclusion The initial level and rate of development of kinesophobia play a fully longitudinal mediating role in the development of family functioning on exercise adherence.Medical professionals should assess and manage patients'family functioning and kinesophobia in a timely manner,and rationally utilize their interrelationships to improve the level of exercise adherence as much as possible.
4.The effects of apigenin,an active component of Polygonati Rhizoma,on depression-like behaviors induced by hindlimb unloading simulating microgravity in rats
Xiaoni DENG ; Wenjuan ZHANG ; Hong YU ; Wenhui YANG ; Hao ZHANG ; Shuo GAO ; Airong QIAN
Space Medicine & Medical Engineering 2025;36(1):43-49
Objective To screen antidepressant-active compounds from Polygonati Rhizoma and explore their effects and possible mechanisms against depression induced by simulated weightlessness.Methods A systems pharmacology approach was used to screen potential antidepressant-active compounds and their targets from Polygonati Rhizoma.The hindlimb unloading(HLU)rat model was employed for the study.Twenty-four healthy male Sprague-Dawley rats were randomly divided into three groups:control group(administered 0.5%carboxymethylcellulose by gavage),HLU group(hindlimb unloading),and HLU+treatment group(hindlimb unloading+active compound gavage),with 8 rats in each group.After 28 days of hindlimb unloading,depressive-like behaviors in rats were evaluated using the forced swimming test and tail suspension test.Hippocampal morphology was examined with H&E staining,and GO and KEGG enrichment analyses were conducted on the targets of active compounds.Results A total of 38 active compounds were screened from Polygonati Rhizoma,among which apigenin had an oral bioavailability of 23.06%and a drug-likeness score of 0.21.Compound-target network analysis indicated that apigenin had the highest degree and betweenness centrality values,suggesting it might be the key active component with antidepressant potential in Polygonati Rhizoma.In the forced swimming and tail suspension tests,rats in the HLU group showed a significant increase in immobility time compared to the control group,indicating successful establishment of the depression model.However,compared to the HLU group,rats in the HLU plus apigenin group exhibited significantly reduced immobility time.The H&E staining results of hippocampal tissue showed a significant reduction in the number of hippocampal neurons,along with numerous shrunken neurons and small vacuoles in nerve fibers in the HLU group.In contrast,the treatment group exhibited an increased number of hippocampal neurons,with improved cellular morphology.Target enrichment analysis indicated that apigenin targets were mainly involved in the regulation of apoptosis and cancer-related signaling pathways.Conclusion Apigenin significantly improved depressive-like behaviors in rats subjected to hindlimb unloading,and it has a protective effect on hippocampal tissue.It may provide a new natural active compound for the treatment of depression caused by spaceflight-induced weightlessness.
5.NLRP6 overexpression improves nonalcoholic fatty liver disease by promoting lipid oxidation and decomposition in hepatocytes through the AMPK/CPT1A/PGC1A pathway.
Qing SHI ; Suye RAN ; Lingyu SONG ; Hong YANG ; Wenjuan WANG ; Hanlin LIU ; Qi LIU
Journal of Southern Medical University 2025;45(1):118-125
OBJECTIVES:
To investigate the regulatory role of nucleotide-bound oligomerized domain-like receptor containing pyrin-domain protein 6 (NLRP6) in liver lipid metabolism and non-alcoholic fatty liver disease (NAFLD).
METHODS:
Mouse models with high-fat diet (HFD) feeding for 16 weeks (n=6) or with methionine choline-deficient diet (MCD) feeding for 8 weeks (n=6) were examined for the development of NAFLD using HE and oil red O staining, and hepatic expressions of NLRP6 were detected with RT-qPCR, Western blotting, and immunohistochemical staining. Cultured human hepatocytes (LO2 cells) with adenovirus-mediated NLRP6 overexpression or knock-down were treated with palmitic acid (PA) in the presence or absence of compound C (an AMPK inhibitor), and the changes in cellular lipid metabolism were examined by measuring triglyceride, ATP and β-hydroxybutyrate levels and using oil red staining, RT-qPCR, and Western blotting.
RESULTS:
HFD and MCD feeding both resulted in the development of NAFLD in mice, which showed significantly decreased NLRP6 expression in the liver. In PA-treated LO2 cells, NLRP6 overexpression significantly decreased cellular TG content and lipid deposition, while NLRP6 knockdown caused the opposite effects. NLRP6 overexpression in PA-treated LO2 cells also increased mRNA and protein expressions of PGC1A and CPT1A, levels of ATP and β-hydroxybutyrate, and the phosphorylation level of AMPK pathway; the oxidative decomposition of lipids induced by Ad-NLRP6 was inhibited by the use of AMPK inhibitors.
CONCLUSIONS
NLRP6 overexpression promotes lipid oxidation and decomposition through AMPK/CPT1A/PGC1A to alleviate lipid deposition in hepatocytes.
Non-alcoholic Fatty Liver Disease/metabolism*
;
Animals
;
Hepatocytes/metabolism*
;
Lipid Metabolism
;
Mice
;
Humans
;
Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha
;
AMP-Activated Protein Kinases/metabolism*
;
Carnitine O-Palmitoyltransferase/metabolism*
;
Diet, High-Fat
;
Male
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Mice, Inbred C57BL
;
Signal Transduction
6.The value of deep learning models based on ultrafast dynamic contrast-enhanced MRI for diagnosing malignant breast lesions
Wenqi WANG ; Wenjuan MA ; Yijun GUO ; Jingbo WANG ; Hong LU
Chinese Journal of Radiology 2025;59(3):307-312
Objective:To explore the value of deep learning models based on ultrafast dynamic contrast-enhanced MRI (UF-DCE MRI) in predicting malignant breast lesions.Methods:The study was a cross-sectional study. Clinical and imaging data of 347 patients with breast lesions who received treatment at Tianjin Medical University Cancer Institute and Hospital from March 2023 to January 2024 were analyzed retrospectively. A total of 347 lesions were observed in the 347 patients, including 75 benign and 272 malignant lesions. The random number method was used to divide into the training set with 243 cases and the validation set with 104 cases in a ratio of 7∶3. All patients underwent breast UF-DCE MRI and conventional dynamic-enhanced MRI (DCE-MRI). A 27-channel model (27-phase enhancement images of input UF-DCE MRI), a 3-channel model (3-phase enhancement images of input DCE-MRI), and a 1-channel model (1st-phase enhancement images of DCE-MRI) were built based on the pre-trained ResNet18 deep learning model on ImageNet. The efficacy of each model in predicting breast malignant lesions was analyzed using receiver operating characteristic curves and area under the curve (AUC). The differences of AUC were compared using DeLong test.Results:In the training and validation sets, the 27-channel model had the highest AUC for diagnosing malignant breast lesions, which were 0.848 (95% CI 0.818-0.877) and 0.784 (95% CI 0.752-0.817), respectively. DeLong test showed no statistically significant difference in the AUC values of the three models in the validation set for the diagnosis of malignant lesions of the breast in a two-by-two comparison ( P>0.05). UF-DCE MRI scans were 27 phases totaling 81 s with a temporal resolution of 3 s/phase; DCE-MRI scans were 3 phases totaling 270 s with a temporal resolution of 90 s/phase. Conclusions:The model combining UF-DCE MRI with deep learning demonstrates comparable efficacy to DCE-MRI deep learning model in diagnosing breast malignant lesions. However the UF-DCE MRI has the advantages of high temporal resolution and short scanning time, which makes this model valuable for precise diagnosis and treatment of breast cancer.
7.The value of deep learning models based on ultrafast dynamic contrast-enhanced MRI for diagnosing malignant breast lesions
Wenqi WANG ; Wenjuan MA ; Yijun GUO ; Jingbo WANG ; Hong LU
Chinese Journal of Radiology 2025;59(3):307-312
Objective:To explore the value of deep learning models based on ultrafast dynamic contrast-enhanced MRI (UF-DCE MRI) in predicting malignant breast lesions.Methods:The study was a cross-sectional study. Clinical and imaging data of 347 patients with breast lesions who received treatment at Tianjin Medical University Cancer Institute and Hospital from March 2023 to January 2024 were analyzed retrospectively. A total of 347 lesions were observed in the 347 patients, including 75 benign and 272 malignant lesions. The random number method was used to divide into the training set with 243 cases and the validation set with 104 cases in a ratio of 7∶3. All patients underwent breast UF-DCE MRI and conventional dynamic-enhanced MRI (DCE-MRI). A 27-channel model (27-phase enhancement images of input UF-DCE MRI), a 3-channel model (3-phase enhancement images of input DCE-MRI), and a 1-channel model (1st-phase enhancement images of DCE-MRI) were built based on the pre-trained ResNet18 deep learning model on ImageNet. The efficacy of each model in predicting breast malignant lesions was analyzed using receiver operating characteristic curves and area under the curve (AUC). The differences of AUC were compared using DeLong test.Results:In the training and validation sets, the 27-channel model had the highest AUC for diagnosing malignant breast lesions, which were 0.848 (95% CI 0.818-0.877) and 0.784 (95% CI 0.752-0.817), respectively. DeLong test showed no statistically significant difference in the AUC values of the three models in the validation set for the diagnosis of malignant lesions of the breast in a two-by-two comparison ( P>0.05). UF-DCE MRI scans were 27 phases totaling 81 s with a temporal resolution of 3 s/phase; DCE-MRI scans were 3 phases totaling 270 s with a temporal resolution of 90 s/phase. Conclusions:The model combining UF-DCE MRI with deep learning demonstrates comparable efficacy to DCE-MRI deep learning model in diagnosing breast malignant lesions. However the UF-DCE MRI has the advantages of high temporal resolution and short scanning time, which makes this model valuable for precise diagnosis and treatment of breast cancer.
8.The effect of family functioning on exercise adherence in elderly patients with postoperative vertebral compression fractures and adjacent vertebral re-fractures
Rui LI ; Hong SONG ; Chunyan ZHANG ; Liming GENG ; Wenjuan CAI ; Yifan LI
Chinese Journal of Nursing 2025;60(10):1164-1170
Objective To test the longitudinal mediating mechanism of kinesophobia between family functioning and exercise adherence in elderly patients with postoperative adjacent vertebral re-fracture after osteoporotic vertebral compression fracture(OVCF).Methods Convenience sampling method was used to admit to the Department of Orthopaedics of a tertiary hospital in Xuzhou City with adjacent vertebral re-fracture after OVCF were conveniently selected as the survey subjects,and longitudinal investigation was conducted using the APGAR,Functional Exercise Adherence Scale,and TSK Scale.Unconditional potential growth model,structural equation and Bootstrap method were used for statistical analysis.Results A total of 232 valid questionnaires were collected.Longitudinal mediation modeling revealed that the intercept of family functioning significantly negatively predicted the intercept of kinesophobia(β=-0.456,P<0.001)and the slope of family functioning significantly negatively predicted the slope of kinesophobia(β=-0.962,P<0.001).The intercept for kinesophobia significantly negatively predicted the intercept for exercise adherence(β=-0.623,P<0.001)and significantly negatively predicted the slope for exercise adherence(β=-0.354,P=0.013).Conclusion The initial level and rate of development of kinesophobia play a fully longitudinal mediating role in the development of family functioning on exercise adherence.Medical professionals should assess and manage patients'family functioning and kinesophobia in a timely manner,and rationally utilize their interrelationships to improve the level of exercise adherence as much as possible.
9.Grey-scale Reversed T1-weighted MRI for Detecting Structural Lesions of the Sacroiliac Joint in Patients with Axial Spondyloarthritis
Ximeng LI ; Wenjuan LI ; Ke ZHANG ; Chaoran LIU ; Yunfei ZHU ; Yingying ZHAN ; Mingzhu LIANG ; Guobin HONG
Journal of Sun Yat-sen University(Medical Sciences) 2024;45(3):412-419
[Objective]To analyze the value of grey-scale reversed T1-weighted(rT1)MRI in the detection of structur-al lesions of the sacroiliac joint(SIJ)in patients with axial spondyloarthritis(ax-SpA).[Methods]Fifty-two ax-SpA pa-tients who underwent both MRI and CT in our hospital within a week from February 2020 to December 2022 were retrospec-tively included.Both sacral and iliac side of each SIJ on oblique coronal images were divided into anterior,middle and pos-terior portion.Two radiologists reviewed independently three groups of MRI including T1-weighted imaging(T1WI),rT1 and T1WI+rT1 images to evaluate the structural lesions like erosions,sclerosis and joint space changes in each of the 6 re-gions of the SIJ.One of the radiologist did the evaluation again one month later.CT images were scored for lesions by a third radiologist and served as the reference standard.Intra-class correlation coefficients(ICC)were calculated to test the inter-and intra-reader agreement for the assessment of SIJ lesions.A Friedman test was performed to compare the lesion results of MRI and CT image findings.We examined the diagnostic performance[accuracy,sensitivity(SE)and specifici-ty]of different groups of MRI in the detection of lesions by using diagnostic test.A McNemar test was used to compare the differences of three groups of MRI findings.[Results]CT showed erosions in 71 joints,sclerosis in 65 and joint space changes in 53.Good inter-and intra-reader agreements were found in three groups of MRI images for the assessment of le-sions,with the best agreement in T1WI+rT1.There were no difference between T1WI+rT1 and CT for the assessment of all lesions,nor between rT1 and CT for the assessment of erosions and joint space changes(P>0.05).T1WI+rT1 yielded better accuracy and SE than T1WI in detection of all lesions(Accuracy erosions:90.3%vs 76.9%;SE erosions:91.6%vs 76.1%;Accu-racy sclerosis:89.4%vs 80.8%;SE sclerosis:84.6%vs 73.9%;Accuracy joint space changes:86.5%vs 73.1%;SE joint space changes:84.9%vs 60.4%;P<0.05).rT1 yielded better accuracy and SE than T1WI in detection of erosions and joint space changes(Accuracy erosions:87.5%vs 76.9%;SE erosions:88.7%vs 76.1%;Accuracy joint space changes:85.6%vs 73.1%;SE joint space changes:83.0%vs 60.4%;P<0.05).[Conclusions]In the detection of SIJ structural lesions in ax-SpA,rT1 improves the diagnostic perfor-mance and T1WI+rT1 is more superior to others.
10.Effects of canagliflozin combined with amiloride or benzamil on bone metabolism in rats with nephrotic syndrome
Wei HUAN ; Xiao LI ; Wenjuan HONG ; Xiaofei LUO ; Xuefang WANG ; Qian LI ; Jiamao CHENG
Journal of Clinical Medicine in Practice 2024;28(2):78-83
Objective To investigate the effects of sodium-glucose cotransporter 2 inhibitor (SGLT2i)canagliflozin and epithelial sodium channel inhibitor amiloride or benzamil in combination on the bone metabolism in the rats with the nephrotic syndrome (NS) induced by doxorubicin. Methods In the 49 male SD rats selected, 7 were randomly selected as control group (NG), and 42 were built as adriamycin-induced nephropathy model by injecting adriamycin through the tail vein, and were randomly divided into model group (MG group), canagliflozin group (KG group), benzamil group (BH group), amiloride group (AL group), canagliflozin+benzamil group (KB group) and canagliflozin+amiloride group (KA group), with 7 cases in each group. Each medication group was given intragastric administration according to the body weight of rats regularly every day, NG group and MG group were given equal amount of normal saline, the course of treatment was 6 weeks. The 24-hour urinary protein (24 h-UTP) of each group was detected one day before treatment to verify the successful preparation of the model. At 6 weeks after treatment, the 24 h-UTP, urine sodium (UNa), urinary potassium (UK) levels in urine and the albumin (ALB), triglyceride (TG), cholesterol (TC), low density lipoprotein (LDL), serum calcium (SCa), sodium (SNa), potassium (SK), 25-hydroxyvitamin D (25-OH-D), alkaline phosphatase (ALP), parathyroid hormone (PTH), procollagen type Ⅰ N-terminal propeptide (PINP) and beta C-terminal cross-linked telopeptides of typeⅠ collagen (β-CTX) levels in serum were measured, respectively. Results After successful modeling, the levels of 24 h-UTP, TG, TC, LDL and SCa in the MG group were significantly increased, while the levels of ALB, 25-OH-D, ALP, PINP and PTH were significantly decreased (


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