1.Clinical Study of MiR-125b-5p/HIF-1α Pathway in Involvement of Vitamin D Deficiency in Pathogenesis of Multiple Myeloma
Qian-Song CHENG ; Jing-Jing ZHOU ; Feng GUO ; Ming ZHU ; Liang HE ; Ting-Ting YUAN ; Mei-Qi DING
Journal of Experimental Hematology 2025;33(6):1650-1654
Objective:To detect the serum levels of 25(OH)D,miR-125b-5p,hypoxia-inducible factor-1α(HIF-1α)and vascular endothelial growth factor A(VEGFA)in patients with multiple myeloma(MM),and explore the role of miR-125b-5p/HIF-1α pathway in the involvement of vitamin D deficiency in the pathogenesis of MM.Methods:Fifty three newly diagnosed/relapsed MM patients admitted to the department of hematology of our hospital from October 2021 to December 2023 were included.Meanwhile,25 healthy individuals matched in gender and age from our hospital's Health Management Center were selected as controls.The serum level of 25(OH)D was monitored by mass spectrometry,the serum level of miR-125b-5p was detected by real-time fluorescence quantitative PCR,and serum levels of HIF-1α and VEGFA were measured by enzyme-linked immunosorbent assay.The levels of 25(OH)D,miR-125b-5p,HIF-1α,and VEGFA were compared between the two groups.According to the level of 25(OH)D,the MM patients were divided into vitamin D deficiency group(<20 ng/ml)and vitamin D non-deficiency group(≥ 20 ng/ml),and the levels of miR-125b-5p,HIF-1α,and VEGFA were compared between the two groups.The correlations between 25(OH)D,miR-125b-5p,HIF-1α and VEGFA were analyzed.The receiver operating characteristic(ROC)curve analysis was used to determine the diagnostic value of25(OH)D combined with miR-125b-5p for newly diagnosed MM.Results:The level of 25(OH)D in MM patients was significantly lower than that in control group(P<0.01).There was no significant difference in 25(OH)D level between newly diagnosed and relapsed MM patients(P>0.05).Compared with the control group,the level of miR-125b-5p was significantly reduced in MM patients(P<0.01),while the levels of HIF-1α and VEGFA were significantly increased(both P<0.001).In MM patients,the miR-125b-5p level in the vitamin D deficiency group was significantly decreased than that in the non-deficiency group(P<0.01),while the levels of HIF-1 α and VEGFA were significantly increased(both P<0.05).In MM patients,25(OH)D was positively correlated with miR-125b-5p,while negatively correlated with HIF-1α and VEGFA(both P<0.05).Moreover,miR-125b-5p was negatively correlated with HIF-1α and VEGFA(both P<0.05).The area under the curve(AUC)for diagnosing MM with 25(OH)D,miR-125b-5p,and their combination were 0.699,0.751,and 0.791,respectively.Conclusion:The incidence of vitamin D deficiency is high in MM patients.Vitamin D deficiency may promote angiogenesis and participate in the occurrence and development of MM by downregulating miR-125b-5p and upregulating HIF-1α and VEGFA expression.
2.Construction and Optimization of Alzheimer's Disease Classification Model Based on Brain Mixed Function Network Topology Parameters and Machine Learning
Xiao-yu HAN ; Xiu-zhu JIA ; Yang LI ; Meng-ying LOU ; Yong-qi NIE ; Xin-ping GUO ; Lu YU ; Zhi-yuan LI ; Lian-zheng SU
Progress in Modern Biomedicine 2025;25(11):1770-1778
Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P<0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7%,and the AUC values were up to 100%,99.5%,99.1%and 99.5%,respectively.The accuracy(98.5%),precision(98.5%),recall(98.5%),and AUC(99.1%)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0%,while Bagging has the lowest AUC value(99.1%)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13%),AUC(99.42%),recall rate(99.46%)and specificity(99.42%)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.
3.Correlation of gait parameters and muscle parameters with imaging in adolescent idiopathic scoliosis patients
Jing LIU ; Chunxin XU ; Yangyang LU ; Qinquan QU ; Qi ZHU ; Yulan GUO ; Min SHEN
Chinese Journal of Tissue Engineering Research 2025;29(21):4477-4485
BACKGROUND:Gait analysis,as a radiation-free dynamic assessment method,may be able to assist imaging to evaluate patients with scoliosis,thereby reducing radiation exposure.OBJECTIVE:To analyze the correlation between gait parameters and imaging parameters in adolescent idiopathic scoliosis patients,and preliminarily explore the potential mechanism through OpenSim simulation modeling.METHODS:Twenty adolescent idiopathic scoliosis patients aged 10-18 years with Cobb angle of 10°-45° were selected as adolescent idiopathic scoliosisgroup. The control group was normal children of the same age and the same body mass index range,and a total of 40 subjects were included. The differences in spatiotemporal parameter,kinematic parameters,dynamic parameters,and gait deviation index of the two groups were compared to explore the correlation between pathological gait and coronal balance. The related mechanisms were preliminarily studied.RESULTS AND CONCLUSION:(1) The comparison of gait parameters between groups showed that the percentage of bilateral support phase and double support phase increased in adolescent idiopathic scoliosis patients,and the percentage of bilateral swing phase decreased (P<0.05). The maximum adduction angle of the left hip joint of patients in the adolescent idiopathic scoliosis group was greater than that of the control group,and the maximum abduction angle of the bilateral hip joints was significantly less than that of the control group (P<0.05). The ankle joints of the two groups when the bilateral heels initially touched the ground;the difference between angles was significant (P<0.05). The peak power of right hip flexor muscle group in adolescent idiopathic scoliosis patients was significantly decreased when they pushed off the ground (P<0.05). (2) The results of the correlation study showed that the maximum abductive angle of the right hip joint was significantly positively correlated with the Cobb angle (r=0.552,P=0.012),and the right peak power of right hip flexor muscle and C7 lateral offset were significantly negatively correlated (r=-0.475,P=0.034). There was a significant positive correlation between ankle angle and lateral pelvic tilt when left foot followed the ground (r=0.476,P=0.034). (3) The simulation results of muscle length showed that the change of muscle fiber length of gluteal medium muscle in adolescent idiopathic scoliosis patients was significantly reduced (P<0.05). The change of muscle fiber length of the bilateral internal oblique muscle was significantly reduced in adolescent idiopathic scoliosis patients (P<0.05). Comparing the muscle fiber length of the two groups when foot followed the ground,it was found that the muscle fiber length of the calf triceps of the adolescent idiopathic scoliosis patients was significantly shorter when foot followed the ground (P<0.05). (4) The results showed that the postural stability control of the trunk of adolescent idiopathic scoliosis patients was decreased,which was manifested as slow step frequency,increased percentage of double support phase and decreased percentage of swing phase. The common pattern of low foot striking pattern is caused by bilateral Achilles tendon tension. In adolescent idiopathic scoliosis patients,the ability of hip flexor muscle to do work is decreased,which may be related to joint angular velocity and main bend direction.
4.Effect of Renshen-Huangjing combination on post-traumatic stress disorder based on bioinformatics and animal experiments and its mechanism
Ke-ke DING ; Dao-kang CHEN ; Jing-ji WANG ; Xun-cui WANG ; Zheng-rong ZHANG ; Shao-jie YANG ; Guo-qi ZHU
Chinese Pharmacological Bulletin 2025;41(6):1099-1107
Aim To evaluate the ameliorative effects of different ratios of Renshen-Huangjing(RH) on SPS-induced PTSD-like behaviors in mice,and to investi-gate the action mechanism using bioinformatics analysis and experimental studies.Methods The aqueous ex-tract was extracted in four ratios of RH in a total weight of 60 g,i.e.1∶0(RH1),2∶1(RH2),1∶2(RH3),and 0∶1(RH4).The extraction rates of Rg1,Rb1,and polysaccharides from different ratios of RH were then detected using UPLC-UV method.The SPS model was established,and RH1,RH2,RH3 and RH4(400 mg·kg-1)were administered by intragas-tric gavage for 14 day,followed by behavioral tests to e-valuate the PTSD-like behaviors.The serum CORT,IL-1β and IL-10 were determined by ELISA.The possible targets of action were analyzed using bioinformatics.The expression levels of Calpain-1,PSD95,BDNF and GluN2B in the hippocampus were detected by Western blot.Results The SPS model induced PTSD-like be-haviors in mice.Serum levels of CORT and IL-1β in-creased and level of IL-10 decreased in SPS model.After treatment with different ratios of RHs,RH2 showed the best therapeutic effect,which was manifes-ted in the suppression of PTSD-like behaviors,the re-duction of CORT and IL-1β levels,and the promotion of IL-10 levels;160 overlapping targets might explain the therapeutic effects of RH on PTSD,and these tar-gets were enriched in inhibiting synaptic damage,exer-ting antioxidant properties and suppressing neuroin-flammation,respectively.RH2 prevented the SPS-in-duced decrease in the expression of Calpain-1,PSD95,BDNF and the elevation of GluN2B.Molecular docking showed strong binding of Rg1 and Rb1 to Calpain-1,PSD95,and BDNF,respectively.Conclusions The a-queous extract of RH in a 2∶1 ratio can more effec-tively prevent SPS-induced PTSD-like behaviors,and its effect may be related to targets such as Calpain-1,PSD95,BDNF and GluN2B.
5.Construction and Optimization of Alzheimer's Disease Classification Model Based on Brain Mixed Function Network Topology Parameters and Machine Learning
Xiao-yu HAN ; Xiu-zhu JIA ; Yang LI ; Meng-ying LOU ; Yong-qi NIE ; Xin-ping GUO ; Lu YU ; Zhi-yuan LI ; Lian-zheng SU
Progress in Modern Biomedicine 2025;25(11):1770-1778
Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P<0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7%,and the AUC values were up to 100%,99.5%,99.1%and 99.5%,respectively.The accuracy(98.5%),precision(98.5%),recall(98.5%),and AUC(99.1%)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0%,while Bagging has the lowest AUC value(99.1%)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13%),AUC(99.42%),recall rate(99.46%)and specificity(99.42%)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.
6.Correlation of gait parameters and muscle parameters with imaging in adolescent idiopathic scoliosis patients
Jing LIU ; Chunxin XU ; Yangyang LU ; Qinquan QU ; Qi ZHU ; Yulan GUO ; Min SHEN
Chinese Journal of Tissue Engineering Research 2025;29(21):4477-4485
BACKGROUND:Gait analysis,as a radiation-free dynamic assessment method,may be able to assist imaging to evaluate patients with scoliosis,thereby reducing radiation exposure.OBJECTIVE:To analyze the correlation between gait parameters and imaging parameters in adolescent idiopathic scoliosis patients,and preliminarily explore the potential mechanism through OpenSim simulation modeling.METHODS:Twenty adolescent idiopathic scoliosis patients aged 10-18 years with Cobb angle of 10°-45° were selected as adolescent idiopathic scoliosisgroup. The control group was normal children of the same age and the same body mass index range,and a total of 40 subjects were included. The differences in spatiotemporal parameter,kinematic parameters,dynamic parameters,and gait deviation index of the two groups were compared to explore the correlation between pathological gait and coronal balance. The related mechanisms were preliminarily studied.RESULTS AND CONCLUSION:(1) The comparison of gait parameters between groups showed that the percentage of bilateral support phase and double support phase increased in adolescent idiopathic scoliosis patients,and the percentage of bilateral swing phase decreased (P<0.05). The maximum adduction angle of the left hip joint of patients in the adolescent idiopathic scoliosis group was greater than that of the control group,and the maximum abduction angle of the bilateral hip joints was significantly less than that of the control group (P<0.05). The ankle joints of the two groups when the bilateral heels initially touched the ground;the difference between angles was significant (P<0.05). The peak power of right hip flexor muscle group in adolescent idiopathic scoliosis patients was significantly decreased when they pushed off the ground (P<0.05). (2) The results of the correlation study showed that the maximum abductive angle of the right hip joint was significantly positively correlated with the Cobb angle (r=0.552,P=0.012),and the right peak power of right hip flexor muscle and C7 lateral offset were significantly negatively correlated (r=-0.475,P=0.034). There was a significant positive correlation between ankle angle and lateral pelvic tilt when left foot followed the ground (r=0.476,P=0.034). (3) The simulation results of muscle length showed that the change of muscle fiber length of gluteal medium muscle in adolescent idiopathic scoliosis patients was significantly reduced (P<0.05). The change of muscle fiber length of the bilateral internal oblique muscle was significantly reduced in adolescent idiopathic scoliosis patients (P<0.05). Comparing the muscle fiber length of the two groups when foot followed the ground,it was found that the muscle fiber length of the calf triceps of the adolescent idiopathic scoliosis patients was significantly shorter when foot followed the ground (P<0.05). (4) The results showed that the postural stability control of the trunk of adolescent idiopathic scoliosis patients was decreased,which was manifested as slow step frequency,increased percentage of double support phase and decreased percentage of swing phase. The common pattern of low foot striking pattern is caused by bilateral Achilles tendon tension. In adolescent idiopathic scoliosis patients,the ability of hip flexor muscle to do work is decreased,which may be related to joint angular velocity and main bend direction.
7.Effect of Renshen-Huangjing combination on post-traumatic stress disorder based on bioinformatics and animal experiments and its mechanism
Ke-ke DING ; Dao-kang CHEN ; Jing-ji WANG ; Xun-cui WANG ; Zheng-rong ZHANG ; Shao-jie YANG ; Guo-qi ZHU
Chinese Pharmacological Bulletin 2025;41(6):1099-1107
Aim To evaluate the ameliorative effects of different ratios of Renshen-Huangjing(RH) on SPS-induced PTSD-like behaviors in mice,and to investi-gate the action mechanism using bioinformatics analysis and experimental studies.Methods The aqueous ex-tract was extracted in four ratios of RH in a total weight of 60 g,i.e.1∶0(RH1),2∶1(RH2),1∶2(RH3),and 0∶1(RH4).The extraction rates of Rg1,Rb1,and polysaccharides from different ratios of RH were then detected using UPLC-UV method.The SPS model was established,and RH1,RH2,RH3 and RH4(400 mg·kg-1)were administered by intragas-tric gavage for 14 day,followed by behavioral tests to e-valuate the PTSD-like behaviors.The serum CORT,IL-1β and IL-10 were determined by ELISA.The possible targets of action were analyzed using bioinformatics.The expression levels of Calpain-1,PSD95,BDNF and GluN2B in the hippocampus were detected by Western blot.Results The SPS model induced PTSD-like be-haviors in mice.Serum levels of CORT and IL-1β in-creased and level of IL-10 decreased in SPS model.After treatment with different ratios of RHs,RH2 showed the best therapeutic effect,which was manifes-ted in the suppression of PTSD-like behaviors,the re-duction of CORT and IL-1β levels,and the promotion of IL-10 levels;160 overlapping targets might explain the therapeutic effects of RH on PTSD,and these tar-gets were enriched in inhibiting synaptic damage,exer-ting antioxidant properties and suppressing neuroin-flammation,respectively.RH2 prevented the SPS-in-duced decrease in the expression of Calpain-1,PSD95,BDNF and the elevation of GluN2B.Molecular docking showed strong binding of Rg1 and Rb1 to Calpain-1,PSD95,and BDNF,respectively.Conclusions The a-queous extract of RH in a 2∶1 ratio can more effec-tively prevent SPS-induced PTSD-like behaviors,and its effect may be related to targets such as Calpain-1,PSD95,BDNF and GluN2B.
8.Clinical Study of MiR-125b-5p/HIF-1α Pathway in Involvement of Vitamin D Deficiency in Pathogenesis of Multiple Myeloma
Qian-Song CHENG ; Jing-Jing ZHOU ; Feng GUO ; Ming ZHU ; Liang HE ; Ting-Ting YUAN ; Mei-Qi DING
Journal of Experimental Hematology 2025;33(6):1650-1654
Objective:To detect the serum levels of 25(OH)D,miR-125b-5p,hypoxia-inducible factor-1α(HIF-1α)and vascular endothelial growth factor A(VEGFA)in patients with multiple myeloma(MM),and explore the role of miR-125b-5p/HIF-1α pathway in the involvement of vitamin D deficiency in the pathogenesis of MM.Methods:Fifty three newly diagnosed/relapsed MM patients admitted to the department of hematology of our hospital from October 2021 to December 2023 were included.Meanwhile,25 healthy individuals matched in gender and age from our hospital's Health Management Center were selected as controls.The serum level of 25(OH)D was monitored by mass spectrometry,the serum level of miR-125b-5p was detected by real-time fluorescence quantitative PCR,and serum levels of HIF-1α and VEGFA were measured by enzyme-linked immunosorbent assay.The levels of 25(OH)D,miR-125b-5p,HIF-1α,and VEGFA were compared between the two groups.According to the level of 25(OH)D,the MM patients were divided into vitamin D deficiency group(<20 ng/ml)and vitamin D non-deficiency group(≥ 20 ng/ml),and the levels of miR-125b-5p,HIF-1α,and VEGFA were compared between the two groups.The correlations between 25(OH)D,miR-125b-5p,HIF-1α and VEGFA were analyzed.The receiver operating characteristic(ROC)curve analysis was used to determine the diagnostic value of25(OH)D combined with miR-125b-5p for newly diagnosed MM.Results:The level of 25(OH)D in MM patients was significantly lower than that in control group(P<0.01).There was no significant difference in 25(OH)D level between newly diagnosed and relapsed MM patients(P>0.05).Compared with the control group,the level of miR-125b-5p was significantly reduced in MM patients(P<0.01),while the levels of HIF-1α and VEGFA were significantly increased(both P<0.001).In MM patients,the miR-125b-5p level in the vitamin D deficiency group was significantly decreased than that in the non-deficiency group(P<0.01),while the levels of HIF-1 α and VEGFA were significantly increased(both P<0.05).In MM patients,25(OH)D was positively correlated with miR-125b-5p,while negatively correlated with HIF-1α and VEGFA(both P<0.05).Moreover,miR-125b-5p was negatively correlated with HIF-1α and VEGFA(both P<0.05).The area under the curve(AUC)for diagnosing MM with 25(OH)D,miR-125b-5p,and their combination were 0.699,0.751,and 0.791,respectively.Conclusion:The incidence of vitamin D deficiency is high in MM patients.Vitamin D deficiency may promote angiogenesis and participate in the occurrence and development of MM by downregulating miR-125b-5p and upregulating HIF-1α and VEGFA expression.
9.Distribution of infectious keratitis pathogens and drug resistance in Nantong, China in recent 10 years
Panpan LI ; Huaijin GUAN ; Yangchen GUO ; Qi CAI ; Yan ZHU ; Mudong XU ; Yong WANG
Chinese Journal of Experimental Ophthalmology 2025;43(8):722-729
Objective:To investigate the ocular pathogen spectrum and drug sensitivity characteristics of patients to be diagnosed with infectious keratitis within 10 years in two tertiary hospitals in Nantong City, Jiangsu Province, eastern China.Methods:A cross-sectional study was conducted.Microbial culture specimens from consecutive 1 404 patients with suspected infectious keratitis admitted to the Department of Ophthalmology at the First People's Hospital of Nantong City and Nantong University Affiliated Hospital from January 2014 to October 2023 were collected.The patients' general data, etiology and drug sensitivity test results were analyzed.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Nantong First People's Hospital (No.2021KT273) and Nantong University Affiliated Hospital (No.2019-K068).Results:Among 1 404 patients with suspected infectious keratitis, the positive rate of microbial culture was 37.04%(520/1 404).A total of 537 strains were isolated and cultured, with fungi accounting for 69.09%(371/537) and bacteria accounting for 30.91%(166/537).The common bacterial genera in fungal keratitis were Fusarium (47.17%, 175/371), Alternaria (15.90%, 59/371), Aspergillus (14.56%, 54/371), Certospora (10.78%, 40/371) and Penicillium (3.50%, 13/371).The annual composition ratio of Fusarium showed a downward trend, while Certospora showed an upward trend.The common bacteria in bacterial keratitis were Staphylococcus epidermidis (24.10%, 40/166), Streptococcus pneumoniae (17.47%, 29/166), Pseudomonas aeruginosa (13.25%, 22/166), Staphylococcus aureus (6.63%, 11/166) and Corynebacterium macginleyi (4.22%, 7/166).The annual composition ratio of Pseudomonas aeruginosa showed an increasing trend.The resistance rates of gram-positive bacteria to levofloxacin and vancomycin were 36.26% and 0% respectively, and the resistance rates of gram-negative bacteria to aminoglycosides and ceftazidime were <10%.A total of 61 bacterial strains (40.94%) were multi-drug resistant. Conclusions:Fusarium is common in fungal keratitis, and Corynebacterium macginleyi in bacterial keratitis may be a microbial feature in Nantong City.Levofloxacin may no longer be suitable as a first-line antibiotic for topical ocular use.
10.Progress in evaluation of animal disease models based on omics technologies
Chao ZHU ; Xing GUO ; Jine WANG ; Pingxuan DONG ; Qianqian GAO ; Xiaoyue WANG ; Xiaojie QI ; Jinju TIAN
Acta Laboratorium Animalis Scientia Sinica 2025;33(6):866-877
Animal disease models are important biological tools for basic medical research.Establishing an ideal animal model is a critical prerequisite for acquiring reliable experimental data.By enabling molecular-level characterization,omics technologies can enhance the precision of animal model assessments,thereby improving the evaluation criteria.This review summarizes the current applications of omics in evaluating animal disease models,discusses their potential for quality control implementation,and proposes novel frameworks for standardized model validation.

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