Background: Obesity and chronic pain are related in both directions, according to earlier observational research.This research aimed to analyze the causal association between obesity and chronic pain at the genetic level, as well as to assess whether common factors mediate this relationship. Methods: This study used bidirectional two sample Mendelian randomization (MR) technique to analyze the association between obesity and chronic pain. Obesity's summary genome-wide association data were obtained from European ancestry groups, as measured by body mass index (BMI), waist-to-hip ratio, waist circumference (WC), and hip circumference (HC), genome-wide association study data for chronic pain also came from the UK population, including chronic pain at three different sites (back, hip, and headache), chronic widespread pain (CWP), and multisite chronic pain (MCP). Secondly, a two-step MR and multivariate MR investigation was performed to evaluate the mediating effects of several proposed confounders. Results: The authors discovered a link between chronic pain and obesity. More specifically, a sensitivity analysis was done to confirm the associations between greater BMI, WC, and HC with an increased risk of CWP and MCP.Importantly, the intermediate MR results suggest that education levels and smoking initiation may mediate the causal relationship between BMI on CWP, with a mediation effect of 23.08% and 15.38%, respectively. Conclusions The authors’ findings demonstrate that the importance of education and smoking in understanding chronic pain’s pathogenesis, which is important for the primary prevention and prognosis of chronic pain.

Background: Obesity and chronic pain are related in both directions, according to earlier observational research.This research aimed to analyze the causal association between obesity and chronic pain at the genetic level, as well as to assess whether common factors mediate this relationship. Methods: This study used bidirectional two sample Mendelian randomization (MR) technique to analyze the association between obesity and chronic pain. Obesity's summary genome-wide association data were obtained from European ancestry groups, as measured by body mass index (BMI), waist-to-hip ratio, waist circumference (WC), and hip circumference (HC), genome-wide association study data for chronic pain also came from the UK population, including chronic pain at three different sites (back, hip, and headache), chronic widespread pain (CWP), and multisite chronic pain (MCP). Secondly, a two-step MR and multivariate MR investigation was performed to evaluate the mediating effects of several proposed confounders. Results: The authors discovered a link between chronic pain and obesity. More specifically, a sensitivity analysis was done to confirm the associations between greater BMI, WC, and HC with an increased risk of CWP and MCP.Importantly, the intermediate MR results suggest that education levels and smoking initiation may mediate the causal relationship between BMI on CWP, with a mediation effect of 23.08% and 15.38%, respectively. Conclusions The authors’ findings demonstrate that the importance of education and smoking in understanding chronic pain’s pathogenesis, which is important for the primary prevention and prognosis of chronic pain.

Background: Obesity and chronic pain are related in both directions, according to earlier observational research.This research aimed to analyze the causal association between obesity and chronic pain at the genetic level, as well as to assess whether common factors mediate this relationship. Methods: This study used bidirectional two sample Mendelian randomization (MR) technique to analyze the association between obesity and chronic pain. Obesity's summary genome-wide association data were obtained from European ancestry groups, as measured by body mass index (BMI), waist-to-hip ratio, waist circumference (WC), and hip circumference (HC), genome-wide association study data for chronic pain also came from the UK population, including chronic pain at three different sites (back, hip, and headache), chronic widespread pain (CWP), and multisite chronic pain (MCP). Secondly, a two-step MR and multivariate MR investigation was performed to evaluate the mediating effects of several proposed confounders. Results: The authors discovered a link between chronic pain and obesity. More specifically, a sensitivity analysis was done to confirm the associations between greater BMI, WC, and HC with an increased risk of CWP and MCP.Importantly, the intermediate MR results suggest that education levels and smoking initiation may mediate the causal relationship between BMI on CWP, with a mediation effect of 23.08% and 15.38%, respectively. Conclusions The authors’ findings demonstrate that the importance of education and smoking in understanding chronic pain’s pathogenesis, which is important for the primary prevention and prognosis of chronic pain.

Background: Obesity and chronic pain are related in both directions, according to earlier observational research.This research aimed to analyze the causal association between obesity and chronic pain at the genetic level, as well as to assess whether common factors mediate this relationship. Methods: This study used bidirectional two sample Mendelian randomization (MR) technique to analyze the association between obesity and chronic pain. Obesity's summary genome-wide association data were obtained from European ancestry groups, as measured by body mass index (BMI), waist-to-hip ratio, waist circumference (WC), and hip circumference (HC), genome-wide association study data for chronic pain also came from the UK population, including chronic pain at three different sites (back, hip, and headache), chronic widespread pain (CWP), and multisite chronic pain (MCP). Secondly, a two-step MR and multivariate MR investigation was performed to evaluate the mediating effects of several proposed confounders. Results: The authors discovered a link between chronic pain and obesity. More specifically, a sensitivity analysis was done to confirm the associations between greater BMI, WC, and HC with an increased risk of CWP and MCP.Importantly, the intermediate MR results suggest that education levels and smoking initiation may mediate the causal relationship between BMI on CWP, with a mediation effect of 23.08% and 15.38%, respectively. Conclusions The authors’ findings demonstrate that the importance of education and smoking in understanding chronic pain’s pathogenesis, which is important for the primary prevention and prognosis of chronic pain.

Background: Obesity and chronic pain are related in both directions, according to earlier observational research.This research aimed to analyze the causal association between obesity and chronic pain at the genetic level, as well as to assess whether common factors mediate this relationship. Methods: This study used bidirectional two sample Mendelian randomization (MR) technique to analyze the association between obesity and chronic pain. Obesity's summary genome-wide association data were obtained from European ancestry groups, as measured by body mass index (BMI), waist-to-hip ratio, waist circumference (WC), and hip circumference (HC), genome-wide association study data for chronic pain also came from the UK population, including chronic pain at three different sites (back, hip, and headache), chronic widespread pain (CWP), and multisite chronic pain (MCP). Secondly, a two-step MR and multivariate MR investigation was performed to evaluate the mediating effects of several proposed confounders. Results: The authors discovered a link between chronic pain and obesity. More specifically, a sensitivity analysis was done to confirm the associations between greater BMI, WC, and HC with an increased risk of CWP and MCP.Importantly, the intermediate MR results suggest that education levels and smoking initiation may mediate the causal relationship between BMI on CWP, with a mediation effect of 23.08% and 15.38%, respectively. Conclusions The authors’ findings demonstrate that the importance of education and smoking in understanding chronic pain’s pathogenesis, which is important for the primary prevention and prognosis of chronic pain.

Objective:To investigate the application value of single-sperm sequencing in resolving the carrier status of preim-plantation genetic testing(PGT)for chromosomal structural rearrangements in Robertsonian translocations.Methods:Haplotypes were constructed by single-sperm isolation combined with single-sperm sequencing for a patient with 45,XY,der(13;14)(q10;q10).Twenty single-sperm samples were isolated by mechanical braking and subjected to whole-genome amplification(WGA),and then the Asian Screening Array(ASA)gene chip was used to detect the 183 708 single nucleotide polymorphisms(SNP)of the WGA products.The single sperm associated with the translocation that could be used as haplotype inference was detected by copy number variation(CNV)sequencing,and the chromosomal haplotypes with normal and Robertsonian translocations were inferred.Three biopsy samples of embryonic trophoblast cells were used as the objects.After whole-genome amplification,high-throughput sequencing was employed to determine the status of the translocation chromosome carried by the embryos.The available blastocysts were selected for transfer,and the amniotic fluid samples were taken at 18 weeks of gestation to confirm whether the fetus carried the pathogenic muta-tion.Results:A total of 6 037 SNP sites were screened by single-sperm sequencing,and 30 sites selected to distinguish normal and translocation haplotypes.Preimplantation haplotype analysis showed that all the three embryos were euploids without Robertsonian translocation chromosome.Genetic testing of amniotic fluid in the second trimester confirmed that the karyotype of the fetus was 46,XN,carrying no Robertsonian translocation chromosome.Conclusion:For male carriers of Robertsonian translocation,single sperm sequencing can be used to screen SNP sites to construct haplotypes for distinguishing normal and Robertsonian translocation em-bryos,and to provide a basis for embryo selection by preimplantation chromosomal structural genetic testing.

Patient 1,a 12-day-old female infant,presented with fever,cough,dyspnea,and elevated infection markers,requiring respiratory support.Metagenomic next-generation sequencing(mNGS)of blood and bronchoalveolar lavage fluid revealed Legionella pneumophila(LP),leading to diagnoses of LP pneumonia and LP sepsis.The patient was treated with erythromycin for 15 days and azithromycin for 5 days,resulting in recovery and discharge.Patient 2,an 11-day-old female infant,presented with dyspnea,fever,elevated infection markers,and multiple organ dysfunction,requiring mechanical ventilation.mNGS of blood and cerebrospinal fluid indicated LP,leading to diagnoses of LP pneumonia,LP sepsis,and LP intracranial infection.The patient was treated with erythromycin for 19 days and was discharged after recovery.Neonatal LP pneumonia lacks specific clinical symptoms,and azithromycin is the preferred antimicrobial agent.The use of mNGS can provide early and definitive diagnosis for severe neonatal pneumonia of unknown origin.

Objective:To explore the value of Plan-Do-Check-Act (PDCA) management model in improving the quality of breast ultrasound diagnosis.Methods:From January 1 to December 31, 2021, patients undergoing breast nodule surgery in the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology were selected for breast ultrasound Breast Imaging Reporting and Data System (BI-RADS) classification diagnosis and follow-up. Using pathological results as the gold standard, the malignant rate of different BI-RADS grade and the coincidence rate of ultrasound diagnosis of breast cancer before the first treatment were analyzed. PDCA cycle management mode was introduced to analyze, learn and sort out the quality of breast ultrasound diagnosis. The same method was used to follow up the breast ultrasound diagnosis in the ultrasound department of our hospital from January 1 to December 31, 2022. The results of two follow-up visits were compared.Results:Compared with 2021, the malignancy rates of category 3 and 4a BI-RADS diagnosed by ultrasonic diagnosis of breast nodules in hospitals in 2022 were closer to the malignancy rates recommended by the classification guidelines of BI-RADS (all P<0.05). There was no significant difference in the malignant rate of BI RADS 4b, 4c and 5 types of nodules (all P>0.05). In 2022, compared with 2021, the ultrasound diagnosis coincidence rate before the first treatment of breast disease increased from 90.4%(1 592/1 761) to 95.9%(1 806/1 884). Conclusions:PDCA management mode is helpful to improve the classification and diagnosis quality of breast ultrasound BI-RADS, and better assist clinical diagnosis and treatment.

Objective To examined gene mutations in thymic carcinoma (TC) patients and to explore prognostic correlates and potential targets for therapy. Methods We retrospectively included TC patients in Sichuan Cancer Hospital between January 2015 and Febuary 2021.Whole-exome sequencing was performed on tumor tissues from TC patients and their control peripheral blood samples, and the raw data were subjected to bioinformatics analysis and statistical analysis. Results We finally included 24 TC patients with 16 males and 8 females at a median age of 55 (42-74) years. The highest frequency of single nucleotide mutations in this cohort were in the TTN gene (42%), HSPG2 (29%), and OBSCN (29%). Higher frequency of copy number variations occurred in ZNF276 gene (54%, loss), BEND3 (50%, loss), DHODH (50%, loss), and VAC14 (50%, loss). Microsatellite instability (MSI) phenotype was found in 25% of the patients, and the mean tumor mutation burden (TMB) was 9.86. Conclusion This study is the first comprehensive analysis of the mutation profile of thymic carcinoma in China to date. The mutation frequencies of TTN, OBSCN, and ZNF276 genes were high. The biomarker analysis suggests that patients may benefit from immunotherapy and have a long effective survival.

Objective: To investigate the awareness of air pollution protection knowledge and its influencing factors among primary school students in Shennongjia Forest District, Hubei Province, so as to provide insights into targeting implementation of health education on air pollution protection knowledge. Methods: Students in Grade 3 to 5 in Shennongjia Shiyan primary school were enrolled by stratified cluster sampling method, and students' demographic features and awareness of air pollution protection knowledge were investigated using the Investigation on the Effects of Air Pollution Health Protection of Pupils (Volume A). Factors affecting the awareness of air pollution protection knowledge among primary school students were identified using a multivariable logistic regression model. Results: A total of 897 questionnaires were allocated, and 877 valid questionnaires were recovered, with an effective rate of 97.77%. The respondents included 446 men (50.86%) and 431 women (49.14%), 301 third grade students (34.32%), 284 fourth grade students (32.38%), and 292 fifth grade students (33.30%), and had a mean age of (10.32±0.93) years. The overall awareness of air pollution protection was 55.76%, and the awareness rates of basic concepts, basic knowledge, and basic behaviors and skills were 42.99%, 53.48% and 57.24%, respectively. Multivariable logistic regression analysis identified age (OR=1.453, 95%CI: 1.053-2.005), living with parents (OR=2.638, 95%CI: 1.571-4.429), mother's educational level (below primary school, OR=0.270, 95%CI: 0.084-0.862; primary school, OR=0.169, 95%CI: 0.069-0.416; junior high school, OR=0.309, 95%CI: 0.138-0.691; high school, OR=0.352, 95%CI: 0.160-0.773) and average annual family income (50 000 to 100 000 Yuan, OR=1.629, 95%CI: 1.162-2.282; 100 000 to 150 000 Yuan, OR=1.802, 95%CI: 1.101-2.948; ≥150 000 Yuan, OR=1.939, 95%CI: 1.065-3.529) as factors affecting the awareness of air pollution protection knowledge among primary school students. Conclusion The awareness of air pollution protection knowledge is 55.76% among primary school students in Shennongjia Forest District, and is affected by age, mother's educational level, average annual family income and living with parents.