Objective: To systematically analyzes the impact of blood donor characteristics on red blood cell (RBC) quality and transfusion outcomes, and to provide a scientific basis for optimizing donor selection criteria and developing personalized transfusion strategies. Methods: A literature search was conducted across electronic databases including CNKI, VIP, Wanfang Data, PubMed, and Embase using combinations of keywords such as "donor characteristics", "blood storage lesion", "blood quality", and "transfusion outcomes" for summary and analysis. Results: Factors associated with the blood donor characteristics including demographic characteristics (sex, age, body mass index), lifestyle habits (smoking, alcohol consumption, exercise), and dietary or pharmacological exposures significantly influence blood storage stability and transfusion efficacy by modulating erythrocyte metabolism, oxidative stress levels, and immune properties. Conclusion: The complexity and diversity of the blood donor characteristics are associated with blood quality and transfusion outcomes. Future efforts should focus on refining donor selection criteria and establishing personalized transfusion strategies to enhance blood product quality and improve patient outcomes.

Deep learning(DL)is a machine learning technique that emulates the human brain's functionality through multi-layered neural network models,enabling it to learn and extract features from data,thereby facilitating the automatic processing and learning of complex tasks.DL has achieved numerous significant breakthroughs in areas such as image recognition,speech recognition,and natural language processing,becoming one of the most promi-nent technologies in the field of artificial intelligence.With the rapid advancement of DL technology,its application in the medical field has yielded remarkable outcomes,offering new possibilities for the diagnosis and treatment of lumbar diseases.This review aims to elucidate the application and research progress of DL in diagnosing,planning surgeries,and predicting postoperative efficacy for lumbar spine diseases.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

We report a family with multiple endocrine neoplasia type 1(MEN1), in which the proband presented with primary amenorrhea and was diagnosed with both a pituitary prolactinoma and an ACTH-secreting adenoma. Genetic testing identified a heterozygous MEN1 gene c. 1449_1476del mutation in the proband, as well as in six additional family members, who exhibited variable clinical phenotypes. Following initial transsphenoidal pituitary surgery, the proband's symptoms and biochemical abnormalities persisted, with elevated ACTH and cortisol levels. Functional imaging using [ 68Ga]-DOTA-TATE PET/CT confirmed residual pituitary tumor tissue, and a second surgery resulted in biochemical remission.

Deep learning(DL)is a machine learning technique that emulates the human brain's functionality through multi-layered neural network models,enabling it to learn and extract features from data,thereby facilitating the automatic processing and learning of complex tasks.DL has achieved numerous significant breakthroughs in areas such as image recognition,speech recognition,and natural language processing,becoming one of the most promi-nent technologies in the field of artificial intelligence.With the rapid advancement of DL technology,its application in the medical field has yielded remarkable outcomes,offering new possibilities for the diagnosis and treatment of lumbar diseases.This review aims to elucidate the application and research progress of DL in diagnosing,planning surgeries,and predicting postoperative efficacy for lumbar spine diseases.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

We report a family with multiple endocrine neoplasia type 1(MEN1), in which the proband presented with primary amenorrhea and was diagnosed with both a pituitary prolactinoma and an ACTH-secreting adenoma. Genetic testing identified a heterozygous MEN1 gene c. 1449_1476del mutation in the proband, as well as in six additional family members, who exhibited variable clinical phenotypes. Following initial transsphenoidal pituitary surgery, the proband's symptoms and biochemical abnormalities persisted, with elevated ACTH and cortisol levels. Functional imaging using [ 68Ga]-DOTA-TATE PET/CT confirmed residual pituitary tumor tissue, and a second surgery resulted in biochemical remission.

This study aims to explore possible effect of RNA polymerase I subunit D (POLR1D) on proliferation and angiogenesis ability of colorectal cancer (CRC) cells and mechanism herein. The correlation of POLR1D and Yin Yang 1 (YY1) expressions with prognosis of CRC patients in TCGA database was analyzed. Quantitative realtime polymerase chain reaction (qRT-PCR) and Western blot were applied to detect expression levels of POLR1D and YY1 in CRC cell lines and CRC tissues. SW480 and HT-29 cells were transfected with si-POLR1D or pcDNA3.1-POLR1D to achieve POLR1D suppression or overexpression before cell migration, angiogenesis of human umbilical vein endothelial cells were assessed. Western blot was used to detect expressions of p38 MAPK signal pathway related proteins and interaction of YY1 with POLR1D was confirmed by dual luciferase reporter gene assay and chromatin immunoprecipitation (ChIP). TCGA data showed that both POLR1D and YY1 expressions were up-regulated in CRC patients. High expression of POLR1D was associated with poor prognosis of CRC patients. The results showed that POLR1D and YY1 were highly expressed in CRC cell lines. Inhibition or overexpression of POLR1D can respectively suppress or enhance proliferation and angiogenesis of CRC cells. YY1 inhibition can suppress CRC progression and deactivate p38 MAPK signal pathway, which can be counteracted by POLR1D overexpression. JASPAR predicted YY1 can bind with POLR1D promoter, which was confirmed by dual luciferase reporter gene assay and ChIP. YY1 transcription can up-regulate POLR1D expression to activate p38 MAPK signal pathway, thus promoting proliferation and angiogenesis ability of CRC cells.

Objective To compare and analyze the effectiveness of sequential nutritional support and parenteral nutrition support in clinical intervention of pediatric acute pancreatitis.Methods Data of 102 children with acute pancreatitis were retrospectively collected and divided into the parenteral nutrition group(n=51)and the sequential nutrition group(n=51)based on the type of parenteral nutrition support.Changes in nutritional status,immune function indicators and body rehabilitation indicators were compared before and after intervention between two groups.The humoral immune indexes(IgA,IgG and IgM)were detected by immunonephelometry.The body recovery indexes(abdominal distension relief time,oral feeding recovery time,body temperature recovery time,blood and urine amylase recovery time and hospital stay)were compared between the two groups.Results After intervention,levels of serum albumin,total protein and prealbumin were higher in the study group than those in the control group,while levels of blood amylase and urine amylase were lower than those in the control group(P＜0.05).After intervention,the CD3+,CD4+and CD4+/CD8+indicators were higher in the study group than those in the control group(P＜0.05).After intervention,IgA,IgG and IgM indicators were higher in the study group than those in the control group(P＜0.05).The relief time of abdominal distension,recovery time of oral feeding,recovery time of body temperature,recovery time of blood and urine amylase and hospitalization time were all shorter in the study group than those in the control group(P＜0.05).Conclusion Sequential nutritional support can effectively improve the nutritional status of children with acute pancreatitis,enhance immune function and promote physical recovery compared to parenteral nutrition support.

Objective To accurately encode pelvic organ prolapse and ensure data accuracy.Methods ICD-10 coding analysis was performed in combination with the professional knowledge of the International Classification of Diseases(ICD-10)and specific clinical cases of pelvic organ prolapse.Results Vaginal anterior wall prolapse,regardless of severity,was encoded as N81.1;vaginal posterior wall prolapse,regardless of severity,as N81.6;uterine prolapse grade Ⅰ and Ⅱ,regardless of the presence or absence of vaginal anterior and posterior wall prolapse,as N81.2;uterine prolapse grade Ⅲ,whether the prolapse of the anterior and posterior vaginal walls is combined,or what level of the severity of the prolapse,as N81.3;cervical prolapse staging,regardless of severity or presence of vaginal anterior and posterior wall prolapse,as N81.2.In addition,the N81.-code does not include genital prolapse complicating pregnancy(O34.5),prolapse and hernia of ovary and fallopian tube(N83.4),vaginal fornix prolapse after hysterectomy(N99.3).Conclusion To ensure accurate coding,the composite coding rules must be cross-checked with volume one.ICD-10 failed to reflect the severity of vaginal prolapse in clinical practice.To consider the severity,coding should be extended in the N81.-segment.It is essential for coders to actively acquire clinical knowledge,rein-force professional knowledge,and enhance their responsibility to improve their coding proficiency and ensure data accuracy.