1.Current status of eating behaviors and its predictive role in overweight and obese of adolescents
Chinese Journal of School Health 2025;46(1):53-57
Objective:
To explore the current status and influencing factors of eating behaviors in adolescents, so as to provide a theoretical foundation for health promotion education among adolescents.
Methods:
Based on the database from Survey of Chinese Family Health Index (2021), by a random number table method, 1 065 teenagers were selected from the provincial capitals of 22 provinces and 5 autonomous regions in China, as well as 4 municipalities directly under the central government. A general characteristic questionnaire, Patient Health Questionnaire-9 (PHQ-9), Short Form of the Family Health Scale (FHS-SF), 10-item Short Version of the Big Five Personality(BFP-10), Content-based Media Exposure Scale (CM-E) and Sakata Eating Behavior Scale Short Form(EBS-SF) were used to collect information. Multivariate stepwise linear regression analysis was employed to identify and analyze related factors of eating behaviors among adolescents. Receiver operating characteristic was used to validate the predictive ability of the EBS-SF score for overweight and obesity among adolescents.
Results:
The average scores of BFI-10,C-ME, FHS-SF, PHQ-9 and EBS-SF were (33.08±4.64)(19.20±4.55)(38.48±6.65)(6.09±5.63)(16.75±4.36), respectively. Multivariate linear regression showed that family type (other types), agreeableness, conscientiousness, family health and depression were the main related factors of EBS-SF scores among adolescents( B =2.61,-0.42,0.20,-0.11,0.23, P <0.05).The analysis of receiver operating characteristic curve showed that the EBS-SF scores had a good ability in predicting obesity among male adolescents ( AUC= 0.73, P <0.01).
Conclusions
Family type, big five personality, family health,depression are the related factors of eating behaviors among adolescents. EBS-SF scores are predictive of obesity in adolescents, which would provide a new perspective for promoting healthy eating habits among adolescents.
2.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
3.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
4.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
5.Mechanism of warmed malate ringer's solution in fluid resuscitation in improving the lethal triad of severe trauma
Yinyu WU ; Han SHE ; Yunxia DU ; Yuxi ZHANG ; Xiaowei ZHOU ; Qinghui LI ; Tao LI ; Yi HU ; Qingxiang MAO ; Yaling WANG
Journal of Army Medical University 2025;47(3):216-225
Objective To explore the role and mechanism of warm malate ringer's solution(MR)in resuscitation of the lethal triad caused by severe trauma.Methods A rat model of severe trauma was established in SPF-grade SD rats(half male and half female,weighing 200~220 g)using combined multiple injuries and hemorrhagic shock,and the rats were randomly divided into 8 groups(n=8):Sham group,only arterial and venous catheterization;Trauma(Tra)groups with different time points(10,30,60,90,120,180 min)and a Trauma group that were observed without any treatment for 180 min after model establishment.The changes of activated clotting time(ACT),reaction time(R),maximum amplitude(MA),and rate of blood clot formation(Angle)at different time points were detected by using thromboelastography,and tail bleeding,core body temperature and arterial blood gas parameters,were also observed and detected.The plasma von Willebrand Factor(vWF)level,mitochondrial respiratory control ratio in pulmonary venous endothelium,and expression levels of vascular endothelial cadherin(VE-Cadherin),peroxisome proliferator activating receptor gamma coactivator 1α(PGC1α),dynamin-related protein 1(Drp1),p-Drp1,and mitofusin 2(Mfn2)were detected to evaluate the vascular endothelial injury and mitochondrial dysfunction.Another group of SD rats were randomly divided into severe trauma group(no treatment for 180 min after injury),and MR solution at room temperature and at 37 ℃ groups.MR solution at room temperature or at 37 ℃ was given to the rats using a medical blood transfusion apparatus at 60 min post-trauma.Above indicators were observed and detected to investigate the resuscitation effect of the MR solution.Results Compared with the Sham group,the severely traumatic rats at 180 min after injury had significantly prolonged ACT and R values(P<0.05),shortened MA and decreased Angle values(P<0.05),extended tail bleeding time(P<0.05),lower partial pressure of carbon dioxide(PCO2)and HCO3-and base excess(BE)levels(P<0.05),and continuously increasing K+(P<0.05)and decreasing Na+(P<0.05)and Ca2+levels(P<0.05).Additionally,plasma vWF level(P<0.05)and protein levels of VE-cadherin,PGC1α and Mfn2 in pulmonary vein endothelium were significantly reduced(P<0.05),the expression of p-Drp1 was enhanced and the mitochondrial respiration control rate was declined in the rats at 180 min after injury(P<0.05).MR solution resuscitation shortened tail bleeding time(P<0.05),increased core body temperature(P<0.05),elevated plasma vWF level(P<0.05),increased protein levels of VE-cadherin,PGC1α and Mfn2(P<0.05),and decreased that of p-Drp1 protein expression(P<0.05)when compared with the rats at 180 min after severe traumatic injury.The above effects were more significant in the rats infused with the solution at 37 ℃ than those at room temperature.Conclusion Warm MR solution significantly improves the lethal triad in rats after severe trauma,which may be associated with its improving mitochondrial function and attenuating vascular endothelial damage.
6.Clinical characteristics of neonatal necrotizing enterocolitis and analysis of risk factors for early-onset children
Jing WANG ; Mingqi SHEN ; Rongxiu ZHENG ; Yue XIN ; Yunxia MA ; Ying ZHANG ; Dejing WU ; Dan LIU
International Journal of Pediatrics 2025;52(9):629-633
Objective:To explore the clinical characteristics of neonatal necrotizing enterocolitis(NEC)and analyze the risk factors for early-onset NEC.Methods:A total of 220 children with NEC admitted to the Department of Pediatrics,Tianjin Medical University General Hospital from January 1st,2018 to February 29th,2024 were retrospectively selected as the research objects. According to the time of onset,the early-onset group( n=120)and the late-onset group( n=100)were established,and the clinical characteristics of the two groups were compared. Another 150 cases of normal healthy newborns born in this hospital in the same period were selected as the control group,and the clinical data of the control group were collected. The clinical characteristics of the early-onset group and the control group were compared,and the risk factors of early-onset NEC were analyzed by multivariate Logistic regression. Results:Compared with the late-onset group,the early-onset group had fever[50.0%(60/120)vs. 40%(40/100), χ2=7.333, P=0.007],apnea[39.17%(47/120)vs. 28%(28/100), χ2=7.568, P=0.006],no rise in body temperature[56.67%(68/120)vs. 39%(39/100), χ2=6.815, P=0.009],abdominal distension[25%(30/120)vs. 40%(40/100), χ2=13.200, P<0.001],vomiting[30.83%(37/120)vs. 45%(45/100), χ2=12.797, P<0.001]was significantly different(all P<0.05);Multivariate Logistic regression analysis:weight<1 500 g( OR=5.871,95% CI:3.153~9.673, P<0.001),gestational age<30 weeks( OR=4.256,95% CI:2.641~7.896, P=0.007),hemodynamically significant patent ductus arteriosus(hs-PDA)( OR=3.113,95% CI:1.865~5.133, P=0.033),severe anemia( OR=3.057,95% CI:2.165~4.802, P=0.001),feeding intolerance( OR=4.215,95% CI:1.579~10.802, P=0.005),amniotic fluid pollution( OR=2.452,95% CI:1.579~3.111, P<0.001)were the independent risk factors for early-onset NEC(all P<0.05). Conclusion:Weight<1 500 g,gestational age<30 weeks,hs-PDA,severe anemia,feeding intolerance,and amniotic fluid contamination are independent risk factors for early-onset NEC. In clinical practice,more attention should be paid to these factors for disease prevention,early identification,and timely intervention in newborns to reduce the occurrence of NEC.
7.Clinical observation of regional citrate anticoagulation in pediatric plasma exchange
Wei DANG ; Fan ZHANG ; Yunxia LI ; Jie CHEN ; Xia LIN ; Sufang ZHANG ; Weifeng LU
Chinese Journal of Emergency Medicine 2025;34(6):795-802
Objective:To evaluate the efficacy and safety of regional citrate anticoagulation (RCA) during plasma exchange (PE) in pediatric patients.Methods:We conducted a retrospective analysis of 12 critically ill children admitted to the Pediatric Intensive Care Unit (PICU) of Jinan Children's Hospital, who underwent 28 PE sessions with RCA between December 2023 and August 2024. Clinical records were reviewed to assess bleeding events, extracorporeal circuit performance, and changes in arterial blood gas parameters, serum total calcium (Ca tot), and activated clotting time before and after treatment. Results:No patients exhibited signs of increased bleeding. In one case, the procedure was discontinued prematurely due to elevated venous pressure. A significant decrease in ionized calcium (Ca ion) was observed 0.5 hours post-treatment. At the end of PE, pH, HCO 3?, base excess (BE), lactate, PaCO 2, Ca tot, and Na + levels increased, while K + and Ca ion levels decreased, with all changes being statistically significant. Four hours post-treatment, pH, HCO 3?, BE, PaCO 2, and Na + remained elevated, whereas Ca ion, lactate, and K + returned to baseline. By 12–15 hours post-treatment, all parameters—including pH, HCO 3?, BE, PaCO 2, Na +, K +, Ca ion, and lactate—had normalized, showing no significant differences from pre-treatment levels. Conclusions:RCA provides effective extracorporeal anticoagulation during pediatric PE without increasing bleeding risk. However, metabolic complications—primarily metabolic alkalosis—are common. These disturbances typically resolve spontaneously and do not lead to severe adverse events. While no ideal anticoagulant for PE has yet been established, RCA remains a safe and effective option, particularly for pediatric patients at higher risk of bleeding.
8.Application of preimplantation genetic testing for monogenic disorders in families with hereditary epilepsy
Wenxiang Zhang ; Dawei Chen ; Tianjuan Wang ; Yunxia Cao
Acta Universitatis Medicinalis Anhui 2025;60(9):1725-1729
Objective:
To evaluate the clinical efficacy of preimplantation genetic testing for monogenic disorders(PGT-M) in families with hereditary epilepsy.
Methods :
Whole-exome sequencing(WES) and familial co-segregation analysis were performed to validate the pathogenicity of variants(PCDH19 c. 1031C > G and LGI1 c. 856T >G) in two monogenic epilepsy families. A clinical PGT-M pathway was implemented,and reproductive outcomes were tracked.
Results:
In Family 1(PCDH19 likely pathogenic variant),13 blastocysts were biopsied over two ovarian stimulation cycles,yielding 3 unaffected euploid embryos(23. 1%). After the third frozen embryo transfer,a healthy male infant was successfully delivered. Prenatal diagnosis confirmed that the fetus did not carry the pathogenic variant PCDH19. Family 2(LGI1 variant of uncertain significance,VUS) screened 14 blastocysts,identifying 2 unaffected euploid embryos(14. 3%),with the first transfer unsuccessful. A clinical pregnancy was currently ongoing following the second frozen-thawed embryo transfer(FET).
Conclusion
PGT-M can precisely block the vertical transmission of monogenic epileptic pathogenic variants,offering an effective reproductive intervention strategy for families with hereditary epilepsy.
9.The effect of endometriosis on pregnancy and delivery outcomes in cycles of single frozen euploid blastocyst transfer
Yuanyuan Zhang ; Dehuan Huang ; Yan Hao ; Dawei Chen ; Ping Zhou ; Yunxia Cao
Acta Universitatis Medicinalis Anhui 2025;60(8):1548-1554
Objective:
To investigate the impact of endometriosis on pregnancy and delivery outcomes in patients undergoing single euploid frozen_thawed blastocyst transfer cycles following preimplantation genetic testing.
Methods :
A retrospective analysis was performed on clinical data from patients undergoing frozen_thawed blastocyst transfer after preimplantation genetic testing at the reproductive center of The First Affiliated Hospital of Anhui Medical University. The endometriosis group comprised 84 treatment cycles. After 1 : 3 propensity score matching , 252 treatment cycles from non_endometriosis patients were included as the control group. General characteristics and clinical outcomes were compared between the two groups.
Results:
There were no statistically significant differences between the two groups in terms of general characteristics , human chorionic gonadotropin ( HCG) positive rate , cycle clinical pregnancy rate per cycle , early miscarriage rate , preterm birth rate , live birth rate per cycle , cesarean section rate , delivery weeks , cumulative clinical pregnancy rate , and cumulative live birth rate (all P > 0. 05) .
Conclusion
Endometriosis may not reduce the pregnancy rate and live birth rate in single frozen euploid blastocyst transfer cycles .
10.Study of the feasibility of polar body transfer combined with preimplantation genetic testing for blocking the intergenerational transmission of mitochondrial genetic diseases.
Dongmei JI ; Zhikang ZHANG ; Weiwei ZOU ; Ning ZHANG ; Kai ZONG ; Yinan DU ; Xun SU ; Xin WANG ; Dawei CHEN ; Chunmei LIANG ; Zhiguo ZHANG ; Yunxia CAO
Chinese Journal of Medical Genetics 2025;42(1):18-25
OBJECTIVE:
To assess the feasibility of first polar body transfer (PB1T) combined with preimplantation mitochondrial genetic testing for blocking the transmission of a pathogenic mitochondrial DNA 8993T>G mutation.
METHODS:
A Chinese family affected with Leigh syndrome which had attended the Reproductive Medicine Centre of the First Affiliated Hospital of Anhui Medical University in September 2021 was selected as the study subject. Controlled ovarian hyperstimulation was carried out for the proband after completing the detection of the mitochondrial DNA 8993T>G mutation load among the pedigree members. Mature MII oocytes were inseminated by intracytoplasmic sperm injection (ICSI), cultured in vitro for 5 to 6 days to the blastocyst stage, and trophoblastocytes were obtained by microbiopsy. Mitochondrial DNA testing (PGT-MT) and chromosomal aneuploidy (PGT-A) analyses were carried out after whole-genome amplification, and the embryos with zero mutation load were selected for transfer. Amniotic fluid and umbilical cord blood samples were collected during middle pregnancy and after birth respectively for mitochondrial DNA testing to verify the reliability of embryo screening. As an attempt, PB1 with good morphology of MII oocytes was selected for transfer into the enucleated oocytoplasm from healthy donors, followed by ICSI fertilization, blastocyst culture and PGT of embryos using the same procedure. This study has been approved by the Ethics Committee of the First Affiliated Hospital of Anhui Medical University (No. 2021zhyx-B12).
RESULTS:
An antagonist protocol was used for ovarian stimulation, and a total of 19 oocytes were obtained, of which 14 MII were fertilized by ICSI, and 2 had developed into blastocysts. PGT-MT was carried out on biopsied trophoblastocytes, in which the mitochondrial DNA 8993T>G mutation load was not detected in one embryo, the other was 100% mutated, and the mutation loads of the remaining unfertilized eggs and developmentally arrested embryos ranged from 0% ~ 100%, presenting a clear biased distribution. With fully informed consent, one PGT-MT zero mutation load blastocyst was transferred and clinical pregnancy was achieved. Mitochondrial DNA and chromosomal testing of amniotic fluid cells during middle pregnancy had revealed no abnormalities. The proband had delivered a healthy boy through Caesarean section at 39+5 weeks of gestation, and no mutation was detected in the cord blood sample. Five well-formed PBs from 14 eggs were selected for PB1 transfer, followed by ICSI and culture, and two of the reconstituted embryos had formed blastocysts, with none of the above mutations detected in the biopsied samples.
CONCLUSION
The PGT-MT technology can help families affected with mitochondrial diseases to have healthy offspring. PB1 transfer in combination with ICSI and PGT-MT holds the promise of turning waste into treasure and providing an alternative means of fertility for such families.
Humans
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Preimplantation Diagnosis/methods*
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Female
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DNA, Mitochondrial/genetics*
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Genetic Testing/methods*
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Pregnancy
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Mitochondrial Diseases/genetics*
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Polar Bodies
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Adult
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Feasibility Studies
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Sperm Injections, Intracytoplasmic/methods*
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Embryo Transfer/methods*
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Mutation
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Male
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Blastocyst/metabolism*
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Pedigree


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