Objective:To explore the clinical features, genetic characteristics in a child with Miller-McKusick-Malvaux syndrome (3MS) type 1 caused by CUL7 gene variant. Methods:A child diagnosed with 3MS type 1 at the Children′s Hospital Affiliated to Zhengzhou University in February 2021 was selected as the subject of this study. Peripheral blood samples were collected from the child and her parents for genomic DNA extraction. Whole exome sequencing (WES) was performed on the child, and Sanger sequencing was used to validate the candidate variants and analyze their pathogenicity. A literature search was conducted using the keywords "3M syndrome" in the China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, and PubMed databases from inception to December 2024. The clinical data of Chinese children with 3MS reported in the literature were summarized. This study was approved by the Medical Ethics Committee of the Children′s Hospital Affiliated to Zhengzhou University (Ethics No. 2024-K-020).Results:①The child was a 6-year-old and 2-month-old female with facial dysmorphism, skeletal abnormalities, and growth and developmental delay. ②WES revealed compound heterozygous variants in the CUL7 gene: c. 2686G>T (p.E896*) and c. 1200delT (p.R401Gfs66). Sanger sequencing confirmed that these two variants were inherited from the child′s father and mother, respectively. According to the American College of Medical Genetics and Genomics (ACMG) Standards and Guidelines for the Interpretation of Sequence Variants, c. 2686G>T (p.E896) was classified as a pathogenic (PVS1+ PM2_Supporting+ PM3), and c. 1200delT (p.R401Gfs*66) was classified as a likely pathogenic (PVS1+ PM2_Supporting). ③ Based on the literature search strategy, 18 relevant articles were identified, including a total of 32 Chinese cases of 3MS, of which 8 were fetuses. A total of 32 Chinese 3MS cases were included in the literature review, of which 8 were fetuses. The majority of these cases carried variants in the CUL7 gene (20/32, 62.5%) and OBSL1 gene (12/32, 37.5%). The main clinical manifestations included intrauterine or postnatal growth and developmental delay (32/32, 100.0%), triangular facies (27/32, 84.3%), and skeletal abnormalities (21/32, 65.6%). Conclusion:The compound heterozygous variants c.2686G>T (p.E896*) and c. 1200delT (p.R401Gfs*66) in the CUL7 gene are likely the genetic cause of 3MS type 1 in the child. For children presenting with facial dysmorphism, skeletal abnormalities, and intrauterine or postnatal growth and developmental delay, 3MS should be considered as a differential diagnosis.

Radiotherapy is main method in treating cervical cancer,and the rapid advancement of artificial intelligence(AI)technique is providing entirely new solutions for radiotherapy for cervical cancer.The AI means that is represented by deep learning is deeply integrating into the whole process of diagnosis,treatment and management for cervical cancer,which can promote intelligent and precise development of radiotherapy workflows.Currently,the applied cores of AI in radiotherapy for cervical cancer include image registration,target delineation,optimization of radiotherapy planning and risk assessment,which can significantly enhance efficiency and precision of treatment.But,AI is facing some challenges in clinical applications include data quality,and algorithm's robustness and interpretability at the same time.Depended on the above analyses,this paper systematically reviewed the frontier applications and progress in practice of AI in radiotherapy for cervical cancer,which especially analyzed technical advantages and limitations of AI in key link,and explored its development path and coping strategy in clinical promotion and standard application in future.It is purpose to provide theoretical references for clinical practice of precise and accurate radiotherapy for cervical cancer.

Objective: To establish and identify hepatocyte-specific transmembrane protein 121 ( Tmem121 ) knockout mice． Methods: The hepatocyte-specific Tmem121 knockout mice ( Tmem121flox / flox / Cre，Tmem121ΔHep) were obtained by crossbreeding of Tmem121flox / + / Cre and Tmem121flox / flox mice，which were generated using the CRISPR / Cas9 and Cre / Loxp systems．The genotype was verified by PCR using genomic DNA extracted from mouse tails as template．The growth，reproduction and organ development of both control and knockout mice were ob- served and analyzed．PCR and Western blot methods were performed to assess the knockout efficiency of Tmem121 in mouse primary hepatocytes．CellMaskTM Deep Red plasma membrane staining was employed to compare the mor- phological differences in primary hepatocytes between control and knockout mice． Results: Tmem121flox / flox / Cre mice were successfully obtained according to genotype identification analysis，and there were no significant differ- ences between control and knockout mice in body mass，reproductive ability，growth and development of liver．The specific knockout of Tmem121 gene in primary hepatocytes did not significantly affect the morphological structure or pathological characteristics of liver tissue．However，compared to the control group，the levels of Tmem121 mRNA and protein in the primary hepatocytes of the knockout group were significantly reduced ( P ＜0. 01) ．CellMaskTM Deep Red plasma membrane staining indicated that the proportion of binucleated hepatocytes in Tmem121-deficient mice significantly increased ( P＜0. 05) ，while the cell area was significantly reduced ( P＜0. 001) ． Conclusion Hepatocyte-specific Tmem121 knockout mice are successfully constructed，which provides an animal model for further exploration of the function and mechanism of Tmem121 gene in liver diseases．

OBJECTIVE: To explore the clinical features, genetic characteristics in a child with Miller-McKusick-Malvaux syndrome (3MS) type 1 caused by CUL7 gene variant. METHODS: A child diagnosed with 3MS type 1 at the Children's Hospital Affiliated to Zhengzhou University in February 2021 was selected as the subject of this study. Peripheral blood samples were collected from the child and her parents for genomic DNA extraction. Whole exome sequencing (WES) was performed on the child, and Sanger sequencing was used to validate the candidate variants and analyze their pathogenicity. A literature search was conducted using the keywords "3M syndrome" in the China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, and PubMed databases from inception to December 2024. The clinical data of Chinese children with 3MS reported in the literature were summarized. This study was approved by the Medical Ethics Committee of the Children's Hospital Affiliated to Zhengzhou University (Ethics No. 2024-K-020). RESULTS: The child was a 6-year-old and 2-month-old female with facial dysmorphism, skeletal abnormalities, and growth and developmental delay. WES revealed compound heterozygous variants in the CUL7 gene: c.2686G>T (p.E896*) and c.1200delT (p.R401Gfs66). Sanger sequencing confirmed that these two variants were inherited from the child's father and mother, respectively. According to the American College of Medical Genetics and Genomics (ACMG) Standards and Guidelines for the Interpretation of Sequence Variants, c.2686G>T (p.E896) was classified as a pathogenic (PVS1+PM2_Supporting+PM3), and c.1200delT (p.R401Gfs*66) was classified as a likely pathogenic (PVS1+PM2_Supporting). Based on the literature search strategy, 18 relevant articles were identified, including a total of 32 Chinese cases of 3MS, of which 8 were fetuses. A total of 32 Chinese 3MS cases were included in the literature review, of which 8 were fetuses. The majority of these cases carried variants in the CUL7 gene (20/32, 62.5%) and OBSL1 gene (12/32, 37.5%). The main clinical manifestations included intrauterine or postnatal growth and developmental delay (32/32, 100.0%), triangular facies (27/32, 84.3%), and skeletal abnormalities (21/32, 65.6%). CONCLUSION The compound heterozygous variants c.2686G>T (p.E896*) and c.1200delT (p.R401Gfs*66) in the CUL7 gene are likely the genetic cause of 3MS type 1 in the child. For children presenting with facial dysmorphism, skeletal abnormalities, and intrauterine or postnatal growth and developmental delay, 3MS should be considered as a differential diagnosis.
Humans ; Cullin Proteins/genetics* ; Female ; Child ; Limb Deformities, Congenital/genetics* ; Exome Sequencing ; Mutation ; Child, Preschool ; Dwarfism ; Muscle Hypotonia ; Spine/abnormalities*

Objective:To investigate microbial ecology in restored milk (RM) -donor human milk (DHM) supplemented with mother's own milk (MOM)-under varying MOM ratios, incubation temperatures, and durations. Methods:This in vitro controlled study utilized breast milk samples collected from mothers of preterm infants (<37 weeks) admitted to the Neonatal Intensive Care Unit of Chongqing Health Center for Women and Children between December 2024 and March 2025, including five MOM samples and one DHM sample. Each MOM sample was mixed with DHM at 10% (RM-10 group) or 30% (RM-30 group) volume ratios. Samples were incubated at room temperature (23-26 ℃) and 37 ℃ for 1 h and 4 h, followed by collection. Microbial α-diversity (Chao/Shannon indices), β-diversity (principal co-ordinates analysis), and taxonomic composition (phylum/genus) were analyzed via high-throughput sequencing. Statistical analysis included analysis of variance and the Kruskal-Wallis H test. Results:No statistically significant differences in the Chao index or Shannon index were observed between the RM-10 and RM-30 groups across different incubation times and temperatures ( H or F values=7.61 and 93.20, respectively; both P>0.05). At 37 ℃, the microbial composition of the RM-30 group at both 1 h and 4 h showed no significant difference compared to the initial MOM samples ( R=－0.018, P=0.540), with Firmicutes abundance restored to 65%-90% of the initial MOM level. At room temperature, incubation of the RM-30 group partially restored microbial communities (50%-60%), but induced overgrowth of Proteobacteria (e.g., Pseudomonas, Acinetobacter). Incubation of the RM-10 group at 37 ℃ for 1 h and 4 h also showed no significant difference in microbial composition compared to the initial MOM ( R=－0.004, P=0.442). However, at room temperature, Proteobacteria consistently increased in the RM-10 group samples, and significant differences in microbial composition compared to initial MOM were observed at both 1 h and 4 h ( R=0.179, P=0.027). Conclusion:Under the experimental conditions of this study, preliminary evidence suggests that incubating a blend of DHM and 30% MOM at 37 ℃ for 1 h or 4 h may modulate the microbial composition toward a potentially beneficial profile.

Recently, intelligent care is gradually changing the traditional care way, and artificial intelligence (AI) application is gradually broadening in the field of assisted reproduction. This review systematically analyzes the AI application in multiple aspects of reproductive health care. It also indicates the challenge during the process, including data privacy, technical reliability, ethics and legal provisions, and humanistic care. Both the opportunities of AI in assisted reproduction are highlighted and the ensuing problems are analyzed in depth. The purpose is to provide ideas for future studies to ensure that AI technology can be safely, efficiently and responsibly integrated with the field of reproductive health care.

Recently, intelligent care is gradually changing the traditional care way, and artificial intelligence (AI) application is gradually broadening in the field of assisted reproduction. This review systematically analyzes the AI application in multiple aspects of reproductive health care. It also indicates the challenge during the process, including data privacy, technical reliability, ethics and legal provisions, and humanistic care. Both the opportunities of AI in assisted reproduction are highlighted and the ensuing problems are analyzed in depth. The purpose is to provide ideas for future studies to ensure that AI technology can be safely, efficiently and responsibly integrated with the field of reproductive health care.

Objective:To explore the clinical features, genetic characteristics in a child with Miller-McKusick-Malvaux syndrome (3MS) type 1 caused by CUL7 gene variant. Methods:A child diagnosed with 3MS type 1 at the Children′s Hospital Affiliated to Zhengzhou University in February 2021 was selected as the subject of this study. Peripheral blood samples were collected from the child and her parents for genomic DNA extraction. Whole exome sequencing (WES) was performed on the child, and Sanger sequencing was used to validate the candidate variants and analyze their pathogenicity. A literature search was conducted using the keywords "3M syndrome" in the China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, and PubMed databases from inception to December 2024. The clinical data of Chinese children with 3MS reported in the literature were summarized. This study was approved by the Medical Ethics Committee of the Children′s Hospital Affiliated to Zhengzhou University (Ethics No. 2024-K-020).Results:①The child was a 6-year-old and 2-month-old female with facial dysmorphism, skeletal abnormalities, and growth and developmental delay. ②WES revealed compound heterozygous variants in the CUL7 gene: c. 2686G>T (p.E896*) and c. 1200delT (p.R401Gfs66). Sanger sequencing confirmed that these two variants were inherited from the child′s father and mother, respectively. According to the American College of Medical Genetics and Genomics (ACMG) Standards and Guidelines for the Interpretation of Sequence Variants, c. 2686G>T (p.E896) was classified as a pathogenic (PVS1+ PM2_Supporting+ PM3), and c. 1200delT (p.R401Gfs*66) was classified as a likely pathogenic (PVS1+ PM2_Supporting). ③ Based on the literature search strategy, 18 relevant articles were identified, including a total of 32 Chinese cases of 3MS, of which 8 were fetuses. A total of 32 Chinese 3MS cases were included in the literature review, of which 8 were fetuses. The majority of these cases carried variants in the CUL7 gene (20/32, 62.5%) and OBSL1 gene (12/32, 37.5%). The main clinical manifestations included intrauterine or postnatal growth and developmental delay (32/32, 100.0%), triangular facies (27/32, 84.3%), and skeletal abnormalities (21/32, 65.6%). Conclusion:The compound heterozygous variants c.2686G>T (p.E896*) and c. 1200delT (p.R401Gfs*66) in the CUL7 gene are likely the genetic cause of 3MS type 1 in the child. For children presenting with facial dysmorphism, skeletal abnormalities, and intrauterine or postnatal growth and developmental delay, 3MS should be considered as a differential diagnosis.

Radiotherapy is main method in treating cervical cancer,and the rapid advancement of artificial intelligence(AI)technique is providing entirely new solutions for radiotherapy for cervical cancer.The AI means that is represented by deep learning is deeply integrating into the whole process of diagnosis,treatment and management for cervical cancer,which can promote intelligent and precise development of radiotherapy workflows.Currently,the applied cores of AI in radiotherapy for cervical cancer include image registration,target delineation,optimization of radiotherapy planning and risk assessment,which can significantly enhance efficiency and precision of treatment.But,AI is facing some challenges in clinical applications include data quality,and algorithm's robustness and interpretability at the same time.Depended on the above analyses,this paper systematically reviewed the frontier applications and progress in practice of AI in radiotherapy for cervical cancer,which especially analyzed technical advantages and limitations of AI in key link,and explored its development path and coping strategy in clinical promotion and standard application in future.It is purpose to provide theoretical references for clinical practice of precise and accurate radiotherapy for cervical cancer.

Objective:To investigate microbial ecology in restored milk (RM) -donor human milk (DHM) supplemented with mother's own milk (MOM)-under varying MOM ratios, incubation temperatures, and durations. Methods:This in vitro controlled study utilized breast milk samples collected from mothers of preterm infants (<37 weeks) admitted to the Neonatal Intensive Care Unit of Chongqing Health Center for Women and Children between December 2024 and March 2025, including five MOM samples and one DHM sample. Each MOM sample was mixed with DHM at 10% (RM-10 group) or 30% (RM-30 group) volume ratios. Samples were incubated at room temperature (23-26 ℃) and 37 ℃ for 1 h and 4 h, followed by collection. Microbial α-diversity (Chao/Shannon indices), β-diversity (principal co-ordinates analysis), and taxonomic composition (phylum/genus) were analyzed via high-throughput sequencing. Statistical analysis included analysis of variance and the Kruskal-Wallis H test. Results:No statistically significant differences in the Chao index or Shannon index were observed between the RM-10 and RM-30 groups across different incubation times and temperatures ( H or F values=7.61 and 93.20, respectively; both P>0.05). At 37 ℃, the microbial composition of the RM-30 group at both 1 h and 4 h showed no significant difference compared to the initial MOM samples ( R=－0.018, P=0.540), with Firmicutes abundance restored to 65%-90% of the initial MOM level. At room temperature, incubation of the RM-30 group partially restored microbial communities (50%-60%), but induced overgrowth of Proteobacteria (e.g., Pseudomonas, Acinetobacter). Incubation of the RM-10 group at 37 ℃ for 1 h and 4 h also showed no significant difference in microbial composition compared to the initial MOM ( R=－0.004, P=0.442). However, at room temperature, Proteobacteria consistently increased in the RM-10 group samples, and significant differences in microbial composition compared to initial MOM were observed at both 1 h and 4 h ( R=0.179, P=0.027). Conclusion:Under the experimental conditions of this study, preliminary evidence suggests that incubating a blend of DHM and 30% MOM at 37 ℃ for 1 h or 4 h may modulate the microbial composition toward a potentially beneficial profile.