PURPOSE: To investigate the incidence and influencing factors of bone loss in patients with spinal cord injury (SCI). METHODS: A retrospective case-control study was conducted. Patients with SCI in our hospital from January 2019 to March 2023 were collected. According to the correlation between bone mineral density (BMD) at different sites, the patients were divided into the lumbar spine group and the hip joint group. According to the BMD value, the patients were divided into the normal bone mass group (t > -1.0 standard deviation) and the osteopenia group (t ≤ -1.0 standard deviation). The influencing factors accumulated as follows: gender, age, height, weight, cause of injury, injury segment, injury degree, time after injury, start time of rehabilitation, motor score, sensory score, spasticity, serum value of alkaline phosphatase, calcium, and phosphorus. The trend chart was drawn and the influencing factors were analyzed. SPSS 26.0 was used for statistical analysis. Correlation analysis was used to test the correlation between the BMD values of the lumbar spine and bilateral hips. Binary logistic regression analysis was used to explore the influencing factors of osteoporosis after SCI. p < 0.05 was considered statistically significant. RESULTS: The incidence of bone loss in patients with SCI was 66.3%. There was a low concordance between bone loss in the lumbar spine and the hip, and the hip was particularly susceptible to bone loss after SCI, with an upward trend in incidence (36% - 82%). In this study, patients with SCI were divided into the lumbar spine group (n = 100) and the hip group (n = 185) according to the BMD values of different sites. Then, the lumbar spine group was divided into the normal bone mass group (n = 53) and the osteopenia group (n = 47); the hip joint group was divided into the normal bone mass group (n = 83) and the osteopenia group (n = 102). Of these, lumbar bone loss after SCI is correlated with gender and weight (p = 0.032 and < 0.001, respectively), and hip bone loss is correlated with gender, height, weight, and time since injury (p < 0.001, p = 0.015, 0.009, and 0.012, respectively). CONCLUSIONS The incidence of bone loss after SCI was high, especially in the hip. The incidence and influencing factors of bone loss in the lumbar spine and hip were different. Patients with SCI who are male, low height, lightweight, and long time after injury were more likely to have bone loss.
Humans ; Spinal Cord Injuries/complications* ; Male ; Female ; Retrospective Studies ; Incidence ; Adult ; Bone Density ; Middle Aged ; Case-Control Studies ; Osteoporosis/etiology* ; Lumbar Vertebrae ; Bone Diseases, Metabolic/etiology* ; Aged ; Risk Factors

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*

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.

OBJECTIVES: To characterize fine particulate matter (PM _2.5)-bound polycyclic aromatic hydrocarbons (PAHs) emitted from different cooking fumes and their exposure routes and assess their health-associated impact to provide a reference for health risk prevention from PAH exposure across different age and sex groups. METHODS: Sixteen PM _2.5-bound PAHs emitted from 11 cooking styles were analyzed using GC-MS/MS. The health hazards of these PAHs in the Handan City population (stratified by age and sex) were predicted using the incremental lifetime cancer risk ( ILCR) model. The respiratory deposition doses ( RDDs) of the PAHs in children and adults were calculated using the PM _2.5 deposition rates in the upper airway, tracheobronchial, and alveolar regions. RESULTS: The total concentrations of PM _2.5-bound PAHs ranged from 61.10 to 403.80 ng/m ³. Regardless of cooking styles, the ILCR _total values for adults (1.23 × 10 ^-6 to 3.70 × 10 ^-6) and older adults (1.28 × 10 ^-6 to 3.88 × 10 ^-6) exceeded the acceptable limit of 1.00 × 10 ^-6. With increasing age, the ILCR _total value first declined and then increased, varying substantially among the population groups. Cancer risk exhibited particularly high sensitivity to short exposure to barbecue-derived PAHs under equivalent body weights. Furthermore, barbecue, Sichuan and Hunan cuisine, Chinese cuisine, and Chinese fast food were associated with higher RDDs for both adults and children. CONCLUSION ILCR _total values exceeded the acceptable limit for both females and males of adults, with all cooking styles showing a potentially high cancer risk. Our findings serve as an important reference for refining regulatory strategies related to catering emissions and mitigating health risks associated with cooking styles.
Humans ; Polycyclic Aromatic Hydrocarbons/analysis* ; Cooking/methods* ; Male ; Female ; Particulate Matter/analysis* ; Adult ; Child ; Middle Aged ; Air Pollutants/analysis* ; Adolescent ; Air Pollution, Indoor/analysis* ; Young Adult ; Child, Preschool ; Aged ; China ; Inhalation Exposure ; Age Factors ; Sex Factors ; Cities ; Infant

Objective:To investigate the clinical and genetic characteristics of patients with amyotrophic lateral sclerosis (ALS) caused by FUS gene mutations. Methods:A retrospective analysis was conducted on 7 families diagnosed with FUS gene related ALS in the Department of Neurology of Henan Provincial People′s Hospital from January 2018 to June 2024. Clinical data and neuroelectrophysiological results of the probands and family members were collected. Next generation sequencing or whole exome sequencing was conducted on the probands. The detected variants of the FUS gene were confirmed by Sanger sequencing. Results:Among the 7 probands, 4 were with familial ALS and 3 with sporadic ALS, including 6 males and 1 female. The average age of onset was 24.6 years (ranging from 21 to 30 years). The onset site included bulbar muscles in 1 case, proximal upper limbs in 3 cases, proximal lower limbs in 2 cases, and both upper and lower limbs in 1 case. Four patients presented both upper and lower motor neurons involvement on examination, and 3 had only lower motor neuron syndrome. Muscle atrophy and fasciculation were observed in 6 patients respectively, and dyspnea in 3 patients. Bilateral muscle strength was asymmetric in 5 patients. Proximal muscle weakness was predominant in 6 of the 7 patients with upper limb weakness, and 3 of the 5 patients with lower limb weakness. Electromyography showed neurogenic damage in all 7 cases. Five heterozygous variants of the FUS gene were detected in 7 patients, including 2 patients with c.1574C>T(p.P525L), 2 with c.1552A>G(p.R518G), 1 with c.1561C>T(p.R521C), 1 with c.1441delC(p.R481Efs *48), and 1 with both c.1574C>T(p.P525L) and c.430_447del(p.G144_Y149del) variants. The variant c.1441delC(p.R481Efs *48) had not been previously reported. During follow-up, 6 patients died of respiratory failure 6-18 months after onset, with an average of 11.8 months. Conclusions:Patients with FUS gene related ALS have an early age of onset, rapid progression, short survival period, asymmetric limb weakness, and more severe involvement of proximal limbs. The c.1574C>T(p.P525L) is a hotspot mutation, and the novel variant c.1441delC(p.R481Efs *48) enriches the mutation spectrum of the FUS gene.

Objective:To investigate the clinical and genetic characteristics of spinal muscular atrophy (SMA) patients with SMN1 gene compound heterozygous mutations. Methods:Three SMA-Ⅲ pedigrees treated in Henan Provincial People′s Hospital from October 2019 to July 2020 were selected. The clinical data of 3 SMA-Ⅲ probands were retrospectively analyzed. Multiplex ligation-dependent probe amplification (MLPA) technology was used to detect the copy number of the SMN gene in the probands and their parents. Polymerase chain reaction amplification combined with microfluidic capillary electrophoresis were used to detect point mutations in the SMN1 gene of the probands. Sanger sequencing was used to validate candidate variant sites. Results:The 3 probands are all male, aged 19, 17 and 12 years, respectively. The main clinical manifestations were symmetrical muscle weakness mainly in the proximal lower limbs, mild to moderate elevation of serum creatine kinase, and neurogenic injury as determined by electromyography or muscle pathology. The genetic testing results showed that all 3 probands had heterozygous deletion in exon 7 of the SMN1 gene, and carried heterozygous variations c.275G>A (p.Trp92 *), c.689C>T (p.Ser230Leu), and c.708dupT (p.Pro237Serfs *19), respectively. The exon deletion and point mutation were inherited separately from their parents. c. 275G>A (p.Trp92 *) and c.708dupT (p.Pro237Serfs *19) variations had not been reported before. Conclusions:The clinical manifestations of SMA-Ⅲ patients are symmetrical muscle weakness, mainly in the proximal extremities of both lower limbs, and electromyography or muscle biopsy suggesting neurogenic lesions. The compound heterozygous variation of point mutation and heterozygous deletion in the SMN1 gene can lead to SMA-Ⅲ. Suspected SMA patients with SMN1 gene heterozygous deletion should take point mutation testing.

Objective:To analyze the clinical manifestations and muscular magnetic resonance imaging (MRI) features of 12 families with facioscapulohumeral muscular dystrophy (FSHD).Methods:Retrospective analysis was conducted on 12 FSHD families diagnosed by genetic testing at the Department of Neurology of Henan Provincial People′s Hospital from January 2017 to June 2021. Clinical data and lower limb muscle MRI results of the probands and related members of the families were collected, and the degree of muscle fatty degeneration shown in the MRI was scored using the modified Mercuri score.Results:There were 21 patients in 12 families, with the age of onset ranged from 10 to 47 years (mean 19.5 years). The course of disease ranged from 1 to 47 years (mean 23.1 years). The onset sites included unilateral upper extremity in 8 cases, bilateral proximal upper extremities in 9 cases, bilateral proximal lower extremities in 2 cases, unilateral proximal lower extremity in 1 case, and simultaneous onset in all 4 limbs in 1 case. Sixteen patients had limb weakness and bilateral asymmetry, and 11/16 cases were more severe on the right side than the left side. Winged scapular and facial muscle weakness were observed in all patients. The creatine kinase range was 85-1 038 U/L (461 U/L on average) in 12/21 cases. There were 10/21 cases of myogenic lesion in electromyography. Myodystroph-like pathological changes were found in 11/21 cases. The fragment length of the 4q35 subtelomere polymorphism EcoRI/p13E-11 was less than 38 kb in 20/21 cases; 1 case was confirmed based on clinical symptoms and family history. Fat infiltration occurred in at least one muscle of lower limbs in 9/10 cases, in thigh muscle in 9/10 cases and in calf muscle in 6/10 cases. The average score of fat infiltration in thigh muscle group was higher than that in calf muscle group. The muscles with higher fat infiltration scores were the vastus intermedius, the long head of the biceps femoris, the vastus medialis, the vastus lateralis, the semitendinosus, the semimembranosus, the vastus lateralis in the thigh (with score ≥2.15), the tibialis anterior, and the medial head of the gastrocnemius in the calf (with score ≥1.11). Fat infiltration in the medial and posterior thigh muscles was more common than in the anterior thigh muscles. There was asymmetry of bilateral muscle fat in 9/10 cases. There were edematous changes in thigh muscles in 1 case and in calf muscles in 3 cases.Conclusions:The age of onset of FSHD patients is mostly ≤30 years. Bilateral asymmetric involvement is the characteristic manifestation of FSHD. The FSHD patients ' muscles most affected by the disease in the thigh are the quadriceps femoris, the long head of the biceps femoris, the vastus medialis, the vastus lateralis, the semitendinosus, the semimembranosus, and the vastus intermedius. In the calf, the muscles most affected are the anterior tibial muscle and the medial head of the gastrocnemius. The MRI pattern of muscle involvement of patients with FSHD is bilateral asymmetrical lesions, with the right side having more severe lesions. The fatization of thigh muscles is more significant than that of calf muscles, and the asymmetry of fatization between bilateral muscles is also present.

Objective To propose a dynamic early warning model based on machine learning methods and validate its predi-ctive efficacy so as to achieve precise assessment and early warning of mortality risk in patients with traumatic hypothermia.Methods Firstly,a total of 480 patients who met inclusion criteria were retrospectively selected from the eICU database and randomly divided into training and test sets at an 8∶2 ratio.Secondly,physiological parameters were extracted from these patients,and five machine learning algorithms including XGBoost,AdaBoost,LightGBM,logistic regression(LR)and random forest(RF)were employed respectively to develop dynamic mortality risk warning models for traumatic hypothermia patients,utilizing a 1-hour observation window.Thirdly,receiver operating characteristic curves(ROC)were plotted using the test set data and the effects of different warning windows on the model performance were analyzed by calculating the AUC.Finally,the interpretability of the models was analyzed using the SHapley Additive exPlanations(SHAP)algorithm to elucidate the contribution of each feature to predictive performance.Results The optimal warning window for the dynamic warning model constructed using the eICU database was 12 hours,and in case of 12-hour warning window the logistic regression model achieved the highest AUC of 0.935 and showed optimal predictive performance.The results of the interpretability analysis by the SHAP algorithm showed that body temperature was the feature that had the greatest impact on the model results,and its reduction was positively correlated with the increased risk of death.Conclusion The machine learning-based dynamic warning model for mortality risk in traumatic hypothermia patients enables real-time dynamic risk assessment,providing robust support for clinicians to identify the patient's condition changes at an early stage and references for the adjustment of clinical treatment programs.[Chinese Medical Equipment Journal,2025,46(3):9-14]

Objective To propose a dynamic early warning model based on machine learning methods and validate its predi-ctive efficacy so as to achieve precise assessment and early warning of mortality risk in patients with traumatic hypothermia.Methods Firstly,a total of 480 patients who met inclusion criteria were retrospectively selected from the eICU database and randomly divided into training and test sets at an 8∶2 ratio.Secondly,physiological parameters were extracted from these patients,and five machine learning algorithms including XGBoost,AdaBoost,LightGBM,logistic regression(LR)and random forest(RF)were employed respectively to develop dynamic mortality risk warning models for traumatic hypothermia patients,utilizing a 1-hour observation window.Thirdly,receiver operating characteristic curves(ROC)were plotted using the test set data and the effects of different warning windows on the model performance were analyzed by calculating the AUC.Finally,the interpretability of the models was analyzed using the SHapley Additive exPlanations(SHAP)algorithm to elucidate the contribution of each feature to predictive performance.Results The optimal warning window for the dynamic warning model constructed using the eICU database was 12 hours,and in case of 12-hour warning window the logistic regression model achieved the highest AUC of 0.935 and showed optimal predictive performance.The results of the interpretability analysis by the SHAP algorithm showed that body temperature was the feature that had the greatest impact on the model results,and its reduction was positively correlated with the increased risk of death.Conclusion The machine learning-based dynamic warning model for mortality risk in traumatic hypothermia patients enables real-time dynamic risk assessment,providing robust support for clinicians to identify the patient's condition changes at an early stage and references for the adjustment of clinical treatment programs.[Chinese Medical Equipment Journal,2025,46(3):9-14]