Nonobstructive azoospermia (NOA), one of the most severe types of male infertility, etiology often remains unclear in most cases. Therefore, this study aimed to detect four biallelic detrimental variants (0.5%) in the minichromosome maintenance domain containing 2 ( MCMDC2 ) genes in 768 NOA patients by whole-exome sequencing (WES). Hematoxylin and eosin (H&E) demonstrated that MCMDC2 deleterious variants caused meiotic arrest in three patients (c.1360G>T, c.1956G>T, and c.685C>T) and hypospermatogenesis in one patient (c.94G>T), as further confirmed through immunofluorescence (IF) staining. The single-cell RNA sequencing data indicated that MCMDC2 was substantially expressed during spermatogenesis. The variants were confirmed as deleterious and responsible for patient infertility through bioinformatics and in vitro experimental analyses. The results revealed four MCMDC2 variants related to NOA, which contributes to the current perception of the function of MCMDC2 in male fertility and presents new perspectives on the genetic etiology of NOA.
Humans ; Male ; Azoospermia/genetics* ; Meiosis/genetics* ; Spermatogenesis/genetics* ; Adult ; Exome Sequencing ; Microtubule-Associated Proteins/genetics* ; Alleles ; Infertility, Male/genetics*

OBJECTIVE: This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF. METHODS: Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus. RESULTS: LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response. CONCLUSION The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans ; China/epidemiology* ; Genome, Viral ; Lassa Fever/virology* ; Lassa virus/classification* ; Molecular Epidemiology ; Phylogeny

Objective:To develop a post competence assessment scale for nurses in the health management (physical examination) center and assess its reliability and validity.Methods:This study adopted an empirical approach. A total of 801 nurses from the health management (physical examination) center were recruited to participate in this study. A research team was formed in August 2024. This team transformed the previously constructed core competence evaluation index system for health management specialist nurses in the health management (physical examination) center (comprising 6 first-level indicators and 70 third-level indicators) into a preliminary post competence assessment scale. Seven experts evaluated the content validity of the scale. In September 2024, a pilot survey was conducted among 27 nurses from the health management (physical examination) center of Sichuan Provincial People′s Hospital using convenience sampling. From October to November 2024, the first main survey was administered to 385 nurses of health management (physical examination) center across 54 cities in China using both convenience sampling and snowball sampling methods, followed by exploratory factor analysis (EFA). Subsequently, utilizing the refined scale obtained after eliminating certain items, a second main survey was conducted among 389 nurses in the health management (physical examination) center, followed by a confirmatory factor analysis (CFA). The reliability of the final scale was assessed using Cronbach′s α coefficient, split-half reliability, composite reliability, and test-retest reliability.Results:The finalized scale for nurses′ post competency in health management (physical examination) center comprises five dimensions—basic nursing service competency, health management practice competency, knowledge integration competency, professional development competency, and professional attitude—with a total of 57 items. The item level content validity index (I-CVI) of the items of the content validity display scale ranged from 0.857 to 1.000, and the content validity index of each dimension ranged from 0.984 to 1.000. The scale-level Content Validity index/average (S-CVI/Ave) was 0.995. The contribution rate of the 6 factors extracted by EFA was 74.07%. After group discussion and CFA, the scale of the 5-factor structural equation model was constructed. The total Cronbach′s α coefficient of the scale was 0.986, the split-half reliability was 0.865, the composite reliability was 0.960-0.980, the total table test-retest reliability was 0.762, and the test-retest reliability of each dimension was 0.681-0.731.Conclusion:The developed assessment scale for assessing the post competence of nurses in the health management (physical examination) center demonstrates excellent reliability and validity.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To compare the the cultivation effects of human embryos in dry and humid incubators.Methods:A total of 479 infertile patients who underwent in vitro fertilization (IVF) treatment at Reproductive Center of Guiyang Maternal and Child Health Care Hospital from October 2020 to April 2022. The study was divided into two stages. The first stage of the study was a self-comparative research with 95 cases from the same period and source. The embryos were divided into dry and humid incubator groups to compare the embryo development indicators. In the second stage of the study, the patients were divided into six groups, including 10 μL humid incubator group ( n=64), 20 μL humid incubator group ( n=64), 30 μL humid incubator group ( n=64), 10 μL dry incubator group ( n=64), 20 μL dry incubator group ( n=64), and 30 μL dry incubator group ( n=64). The general clinical data, embryo development indicators, pregnancy outcomes, and the osmotic pressure and pH values of each group at 24 h, 48 h and 72 h were detected and compared. Results:After cultivation of the same patient's embryos in dry and humid incubator, the total blastocyst formation rate [62.3% (162/260)] and high-quality blastocyst rate [24.6% (64/260)] in dry incubator were lower than those in the humid incubator [71.6% (252/352), P=0.015; 32.1% (113/352), P=0.043]. Compared with the other microdroplet groups, the osmotic pressure of cleavage culture medium in 10 μL group of dry incubator at 48 h and 72 h and blastocyst culture medium were significantly increased, the differences among the groups were significant (cleavage culture medium, all P<0.001; blastocyst culture medium, P=0.006, P=0.008). There was no significant difference in pH value among different microdroplet volume groups at the same period (all P>0.05). There were no significant differences in general data among the different microdroplet groups (all P>0.05). Compared with the other microdroplet groups, 10 μL dry incubator group exhibited significantly lower transferable embryo rate (all P<0.001). When compared with 20 μL and 30 μL groups in both dry and humid incubators, 10 μL dry incubator group showed a lower day 5 blastocyst formation rate, lower total blastocyst formation rate, and lower high-quality blastocyst formation rate, the differences among the groups were significant (all P<0.05). There were no significant differences in the number of transferred embryos, the ratio of cleavage-stage embryos and the ratio of high-quality embryos among different groups (all P>0.05). Compared with the other microdroplet groups, the clinical pregnancy rate, the embryo implantation rate, the live birth rate of fresh transplanted embryos and the cumulative pregnancy rate in 10 μL group in the dry incubator decreased, and the miscarriage rate increased, but all were not significant (all P>0.05). Conclusion:Compared with humid incubators, there are no significant differences in embryo development and pregnancy outcomes for droplet volumes of 20 μL or above in dry incubators. However, the 10 μL microdroplet culture in the dry incubator is not conducive to embryonic development, which may be related to the increased osmotic pressure of the microdroplet.

Objective:To compare the the cultivation effects of human embryos in dry and humid incubators.Methods:A total of 479 infertile patients who underwent in vitro fertilization (IVF) treatment at Reproductive Center of Guiyang Maternal and Child Health Care Hospital from October 2020 to April 2022. The study was divided into two stages. The first stage of the study was a self-comparative research with 95 cases from the same period and source. The embryos were divided into dry and humid incubator groups to compare the embryo development indicators. In the second stage of the study, the patients were divided into six groups, including 10 μL humid incubator group ( n=64), 20 μL humid incubator group ( n=64), 30 μL humid incubator group ( n=64), 10 μL dry incubator group ( n=64), 20 μL dry incubator group ( n=64), and 30 μL dry incubator group ( n=64). The general clinical data, embryo development indicators, pregnancy outcomes, and the osmotic pressure and pH values of each group at 24 h, 48 h and 72 h were detected and compared. Results:After cultivation of the same patient's embryos in dry and humid incubator, the total blastocyst formation rate [62.3% (162/260)] and high-quality blastocyst rate [24.6% (64/260)] in dry incubator were lower than those in the humid incubator [71.6% (252/352), P=0.015; 32.1% (113/352), P=0.043]. Compared with the other microdroplet groups, the osmotic pressure of cleavage culture medium in 10 μL group of dry incubator at 48 h and 72 h and blastocyst culture medium were significantly increased, the differences among the groups were significant (cleavage culture medium, all P<0.001; blastocyst culture medium, P=0.006, P=0.008). There was no significant difference in pH value among different microdroplet volume groups at the same period (all P>0.05). There were no significant differences in general data among the different microdroplet groups (all P>0.05). Compared with the other microdroplet groups, 10 μL dry incubator group exhibited significantly lower transferable embryo rate (all P<0.001). When compared with 20 μL and 30 μL groups in both dry and humid incubators, 10 μL dry incubator group showed a lower day 5 blastocyst formation rate, lower total blastocyst formation rate, and lower high-quality blastocyst formation rate, the differences among the groups were significant (all P<0.05). There were no significant differences in the number of transferred embryos, the ratio of cleavage-stage embryos and the ratio of high-quality embryos among different groups (all P>0.05). Compared with the other microdroplet groups, the clinical pregnancy rate, the embryo implantation rate, the live birth rate of fresh transplanted embryos and the cumulative pregnancy rate in 10 μL group in the dry incubator decreased, and the miscarriage rate increased, but all were not significant (all P>0.05). Conclusion:Compared with humid incubators, there are no significant differences in embryo development and pregnancy outcomes for droplet volumes of 20 μL or above in dry incubators. However, the 10 μL microdroplet culture in the dry incubator is not conducive to embryonic development, which may be related to the increased osmotic pressure of the microdroplet.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To develop a post competence assessment scale for nurses in the health management (physical examination) center and assess its reliability and validity.Methods:This study adopted an empirical approach. A total of 801 nurses from the health management (physical examination) center were recruited to participate in this study. A research team was formed in August 2024. This team transformed the previously constructed core competence evaluation index system for health management specialist nurses in the health management (physical examination) center (comprising 6 first-level indicators and 70 third-level indicators) into a preliminary post competence assessment scale. Seven experts evaluated the content validity of the scale. In September 2024, a pilot survey was conducted among 27 nurses from the health management (physical examination) center of Sichuan Provincial People′s Hospital using convenience sampling. From October to November 2024, the first main survey was administered to 385 nurses of health management (physical examination) center across 54 cities in China using both convenience sampling and snowball sampling methods, followed by exploratory factor analysis (EFA). Subsequently, utilizing the refined scale obtained after eliminating certain items, a second main survey was conducted among 389 nurses in the health management (physical examination) center, followed by a confirmatory factor analysis (CFA). The reliability of the final scale was assessed using Cronbach′s α coefficient, split-half reliability, composite reliability, and test-retest reliability.Results:The finalized scale for nurses′ post competency in health management (physical examination) center comprises five dimensions—basic nursing service competency, health management practice competency, knowledge integration competency, professional development competency, and professional attitude—with a total of 57 items. The item level content validity index (I-CVI) of the items of the content validity display scale ranged from 0.857 to 1.000, and the content validity index of each dimension ranged from 0.984 to 1.000. The scale-level Content Validity index/average (S-CVI/Ave) was 0.995. The contribution rate of the 6 factors extracted by EFA was 74.07%. After group discussion and CFA, the scale of the 5-factor structural equation model was constructed. The total Cronbach′s α coefficient of the scale was 0.986, the split-half reliability was 0.865, the composite reliability was 0.960-0.980, the total table test-retest reliability was 0.762, and the test-retest reliability of each dimension was 0.681-0.731.Conclusion:The developed assessment scale for assessing the post competence of nurses in the health management (physical examination) center demonstrates excellent reliability and validity.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.