BACKGROUND:Many recent studies have shown a close relationship between inflammatory cytokines and osteoporosis and bone mineral density(BMD).However,the causal relationship between inflammatory cytokines and BMD has not been fully revealed. OBJECTIVE:To explore the potential causal relationship between inflammatory cytokines and BMD using a two-sample Mendelian randomization analysis. METHODS:The single nucleotide polymorphisms associated with 41 circulating inflammatory cytokines were selected from the open database of genome-wide association studies(GWAS)as instrumental variables.The GWAS data about BMD were from the Genetic Factors for Osteoporosis Consortium,involving a total of 32 735 individuals of European ancestry.Inverse variance weighting was used as the primary analysis to evaluate the causal effect.Weighted median,MR Egger regression,simple mode,and weighted mode methods were used to supplement the explanation.We used the MR-Egger intercept and MR-PRESSO method to conduct a pleiotropy test,the Cochran's Q test was used to determine whether there was heterogeneity in the results,and the leave-one-out method was used to evaluate the stability of the results.In addition,to more accurately assess the causality,the Bonferroni-corrected test was used to identify inflammatory cytokines that have a strong causal relationship with BMD. RESULTS AND CONCLUSION:(1)According to the results of the inverse variance weighting method,we found a positive causal relationship between interleukin-8 and lumbar spine BMD[β=0.075,95%confidence interval(CI):0.033-0.117,P=0.000 5),while a negative causal relationship between interleukin-17 and lumbar spine BMD(β=-0.083,95%CI:-0.152 to-0.014,P=0.018).There might be a negative causal relationship between tumor necrosis factor b and femoral neck BMD(β=-0.053,95%CI:-0.088 to-0.018,P=0.003),while a positive causal relationship between basic fibroblast growth factor and femoral neck BMD(β=0.085,95%CI:0.016-0.154,P=0.015).There might be a negative causal relationship between macrophage inflammatory protein-1a and total body BMD(β=-0.056,95%CI:-0.105 to-0.007,P=0.025).There was a negative causal relationship between interleukin-5(β=-0.019,95%CI:-0.031 to-0.006,P=0.004),stromal cell-derived factor-1a(β=-0.022,95%CI:-0.038 to-0.005,P=0.010),hepatocyte growth factor(β=-0.021,95%CI:-0.041 to-0.002,P=0.030),interleukin-4(β=-0.016,95%CI:-0.032 to-0.001,P=0.034)and heel BMD,while a positive causal relationship between nerve growth factor(β=0.019,95%CI:0.002-0.036,P=0.033),granulocyte colony-stimulating factor(β=0.011,95%CI:0.000-0.022,P=0.050),and heel BMD.Meanwhile,after the Bonferroni-corrected test,there was a strong positive causal effect between interleukin-8 and lumbar spine BMD(P=0.000 5).And consistent directional effects for all analyses were observed in MR Egger,weighted median,simple mode,and weighted mode methods.(2)Sensitivity analyses revealed no heterogeneity,pleiotropy,or outliers for the causal effect of circulating inflammatory cytokines on BMD.

OBJECTIVE To explore comprehensive management and potential issues associated with long-term prescriptions medications of psychiatry， in order to provide a reference for the comprehensive management of long-term prescriptions of psychiatry in psychiatric hospitals and other medical institutions’ pharmacies. METHODS Starting from the applicable principles for long-term prescriptions of psychiatry， this study introduced the standardized assessment and precautions before issuing long-term prescriptions， the formulation and adjustment of the drug list， as well as the rational management of the long-term prescriptions. It also analyzed potential issues that may arise in the comprehensive management of long-term prescription medications and proposed corresponding countermeasures and suggestions. RESULTS & CONCLUSIONS Prior to initiating long-term prescriptions， a standardized assessment should be conducted on patients from the aspects of their psychiatric condition and long-term potential risk factors， pharmacological treatment plans and other non-pharmacological therapies， physical illnesses. Additionally， healthcare providers should fulfill their obligation to inform patients or their family members. The comprehensive management of long-term prescription medications should be jointly established and improved by multiple departments， and the formulation of drug catalogs should avoid including drugs with potential social harm or medication risks while complying with policy requirements. Furthermore， measures such as adding special identifiers to long-term prescriptions， providing patients with reminders about （No.YGLX202537） prescription expiration， or offering online consultations can also effectively enhance the rationality of medication use under long-term prescriptions. Currently， the implementation of long-term prescriptions in psychiatry remains challenged by inconsistencies in prescription duration， incomplete coverage of diagnostic categories， poor patient adherence， and the risk of deviation in clinical assessments. In this regard， measures such as collaborating with multiple departments to strengthen long-term prescription information management， providing matching pharmaceutical services， ensuring the quality and rationality of long-term prescription implementation， and using modern methods to screen high-risk patients can be taken to improve patient medication compliance and safety.

Sensorineural hearing loss is one of the most common sensory disorders. In recent years, auditory neuropathy spectrum disorders caused by mutations in the OTOF gene have garnered significant attention worldwide, marking it as the first deafness gene with breakthroughs in gene therapy. Most patients with OTOF gene mutations present with stable, congenital, or prelingual onset of hearing loss, which can range from severe to profound and even complete hearing loss. However, a minority of patients may exhibit mild to moderate progressive hearing loss or temperature-sensitive hearing loss. This review further explores the genotype-phenotype relationship of the OTOF gene based on reported cases in China and abroad. Additionally, we analyze the characteristics of the natural history of OTOF gene mutations within the Chinese population. This study aims to provide a reference for the clinical diagnosis, evaluation, and treatment of hearing loss associated with OTOF gene mutations.
Humans ; Mutation ; Phenotype ; Genotype ; Hearing Loss, Sensorineural/genetics* ; Membrane Proteins/genetics*

Traditional development of small protein scaffolds has relied on display technologies and mutation-based engineering, which limit sequence and functional diversity, thereby constraining their therapeutic and application potential. Protein design tools have significantly advanced the creation of novel protein sequences, structures, and functions. However, further improvements in design strategies are still needed to more efficiently optimize the functional performance of protein-based drugs and enhance their druggability. Here, we extended an evolution-based design protocol to create a novel minibinder, BindHer, against the human epidermal growth factor receptor 2 (HER2). It not only exhibits super stability and binding selectivity but also demonstrates remarkable properties in tissue specificity. Radiolabeling experiments with ^99mTc, ⁶⁸Ga, and ¹⁸F revealed that BindHer efficiently targets tumors in HER2-positive breast cancer mouse models, with minimal nonspecific liver absorption, outperforming scaffolds designed through traditional engineering. These findings highlight a new rational approach to automated protein design, offering significant potential for large-scale applications in therapeutic mini-protein development.

This article reviews the review articles and research papers related to biomanufacturing driven by engineered organisms published in the Chinese Journal of Biotechnology from 2023 to 2024. The content covers 26 aspects, including chassis cells; gene (genome) editing; facilities, tools and methods; biosensors; protein design and engineering; peptides and proteins; screening, expression, characterization and modification of enzymes; biocatalysis; bioactive substances; plant natural products; microbial natural products; development of microbial resources and biopesticides; steroidal compounds; amino acids and their derivatives; vitamins and their derivatives; nucleosides; sugars, sugar alcohols, oligosaccharides, polysaccharides and glycolipids; organic acids and monomers of bio-based materials; biodegradation of polymeric materials and biodegradable materials; intestinal microorganisms, live bacterial drugs and synthetic microbiomes; microbial stress resistance engineering; biodegradation and conversion utilization of lignocellulose; C1 biotechnology; bioelectron transfer and biooxidation-reduction; biotechnological environmental protection; risks and regulation of biomanufacturing driven by engineered organisms, with hundreds of technologies and products commented. It is expected to provide a reference for readers to understand the latest progress in research, development and commercialization related to biomanufacturing driven by engineered organisms.
Biotechnology/methods* ; Gene Editing ; Genetic Engineering ; Metabolic Engineering ; Protein Engineering ; Biosensing Techniques

Objective To develop a machine learning model integrating preoperative chest CT radiomic features with clinical data for predicting 5-year postoperative recurrence risk in stage Ⅰ non-small cell lung cancer(NSCLC)patients undergoing surgical resection.Methods A total of 217 patients with pathologically confirmed stage Ⅰ NSCLC(selected from 778 initially screened cases based on our inclusion and exclusion criteria)treated in Army Medical Center of PLA between January 2014 and December 2019 were retrospectively enrolled,including 53 recurrence cases and 164 non-recurrence cases within 5-year follow-up.They were randomly divided into a training set(n=173)and a validation set(n=44)in a ratio of 8:2.Radiomic models were established based on extracted features from tumor-dominant regions of interest(ROI)on CT images,while clinical models were developed using demographic characteristics and preoperative laboratory examinations.A combined model was further constructed by integrating both feature sets,and model performance was compared to identify the optimal predictive model.Results This study screened the features from non-contrast CT images and ultimately selected 7 radiomic features for constructing radiomic model.Among 6 machine learning algorithms,the adaptive boosting(Adaboost)model demonstrated the best overall predictive performance,with an area under the curve(AUC)of 0.866(95%CI:0.808～0.923;accuracy:0.832,specificity:0.884)in the training set and of 0.806(95%CI:0.630～0.983;accuracy:0.795,specificity:0.971)in the validation set.Univariate and multivariate logistic regression analyses identified 4 clinical features for clinical model construction.The clinical model achieved an AUC value of 0.874(95%CI:0.821～0.928;accuracy:0.827,specificity:0.891)in the training set and 0.813(95%CI:0.677～0.948;accuracy:0.636,specificity:0.600)in the validation set.By integrating the 7 radiomic features and 4 clinical features using a feature-level fusion strategy,the combined model exhibited further improved predictive performance,with an AUC value of 0.953(95%CI:0.924～0.983;accuracy:0.884,specificity:0.860)and 0.852(95%CI:0.729～0.976;accuracy:0.682,specificity:0.629),respectively in the training set and the validation set.Conclusion The combined model integrating preoperative CT radiomic features with clinical risk factors may provide an evidence-based framework for evaluating 5-year postoperative recurrence risk in stage Ⅰ NSCLC patients.

Objective To explore the value of CT combined with MRI(hereinafter referred to as combined diagnosis)in diagnosing sacroiliac joint lesions in ankylosing spondylitis(AS).Methods A retrospective study selected CT and MRI examination data from 102 AS patients with sacroiliac joint lesions admitted to the Third People's Hospital of Haikou,Hainan Province between January 2021 and July 2023.The study compared the grading and detection rates of various signs using CT,MRI,and combined diagnosis.Results MRI showed higher detection rates for AS sacroiliac joint lesions in grades I-II,bone marrow edema,tendon and ligament attachment point inflammation,subchondral cartilage destruction,synovial thickening,and subchondral fat deposition compared to CT(P<0.05).In contrast,CT demonstrated higher accuracy in detecting joint surface sclerosis,subchondral bone erosion/destruction,and joint surface hyperplasia compared to MRI(P<0.05).Combined diagnosis showed significantly higher grading and detection rates of AS sacroiliac joint lesion signs compared to MRI or CT alone(P<0.05).Conclusion MRI has high detection rates for early AS sacroiliac joint lesions,CT exhibits high sensitivity for joint surface hyperplasia,sclerosis,erosion,and destruction,and combined diagnosis demonstrates superior efficacy compared to MRI or CT individually.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Objective To explore the effect of semaglutide on myocardial injury markers and cardiovascular and cerebrovascular events in patients with type 2 diabetes mellitus(T2DM).Methods A total of 100 patients with T2DM admitted to Xingtai Third Hospital from January to December 2021 were selected as the research subjects,and they were divided into the control group and the observation group by using the random number table,with 50 patients in each group.The patients in both groups were given lifestyle interventions,including reasonable diet,moderate exercise,smoking cessation and alcohol restriction.On this basis,the patients in the control group were given the conventional hypoglycemic drug metformin,and the patients in the observation group were given metformin and semaglutide injection.The patients in both groups were treated for 12 months.Before and after treatment,fasting venous blood was collected from the patients in the two groups,and the levels of glycated hemoglobin(HbA1c)were measured by high-performance liquid chromatography,the fasting plasma glucose(FPG),2-hour postprandial glucose(2hPG),total cholesterol(TC),triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),and low-density lipoprotein cholesterol(LDL-C)were measured by using the glucose oxidase method,and the levels of serum cardiac troponin Ⅰ(cTnⅠ),myoglobin(Myo),and lactate dehydrogenase(LDH)were measured by using the electro-chemiluminescence or enzyme-linked immunosorbent assay.The systolic blood pressure(SBP)and diastolic blood pressure(DBP)in the right upper arm of patients were measured by using an electronic blood pressure monitor.The cardiovascular and cerebrovascular events such as myocardial infarction,unstable angina,heart failure,cardiogenic shock,arrhythmia,ischemic stroke,and hemorrhagic stroke during treatment of patients in two groups were recorded.Results Before treatment,there was no statistically significant difference in the levels of FPG,2hPG,and HbA1c of patients between the two groups(P＞0.05).After treatment,the levels of FPG,2hPG,and HbA1c of patients in the two groups were significantly lower than those before treatment(P＜0.05);and the levels of FPG,2hPG,and HbA1c of patients in the observation group were significantly lower than those in the control group(P＜0.05).Before treatment,there was no statistically significant difference in SBP and DBP of patients between the two groups(P＞0.05).There was no statistically significant difference in SBP and DBP of patients before and after treatment in the control group(P＞0.05);after treatment,the SBP and DBP of patients in the observation group were significantly lower than those before treatment and in the control group(P＜0.05).Before treatment,there was no statistically significant difference in the levels of TC,TG,LDL-C,and HDL-C of patients between the two groups(P＞0.05).There was no statistically significant difference in the levels of TC,TG,LDL-C,and HDL-C of patients before and after treatment in the control group(P＞0.05);after treatment,the levels of TC,TG,and LDL-C of patients in the observation group were significantly lower than those before treatment,while the level of HDL-C was significantly higher than that before treatment(P＜0.05);after treatment,the levels of TC,TG,and LDL-C of patients in the observation group were significantly lower than those in the control group,while the level of HDL-C was significantly higher than that in the control group(P＜0.05).During the treatment period,the incidence of cardiovascular and cerebrovascular events of patients in the control and observation groups was 18.0％(9/50)and 4.0％(2/50),respectively;the incidence of cardiovascular and cerebrovascular events of patients in the observation group was significantly lower than that in the control group(x2=4.320,P＜0.05).Before treatment,there was no statistically significant difference in levels of cTnⅠ,Myo,and LDH of patients between the two groups(P＞0.05).There was no statistically significant difference in the levels of cTnⅠ,Myo,and LDH of patients before and after treatment in the control group(P＞0.05);after treatment,the levels of cTnⅠ,Myo,and LDH of patients in the observation group were significantly lower than those before treatment and in the control group(P＜0.05).Conclusion Semaglutide can obviously reduce blood glucose and pressure,improve blood lipids,reduce the incidence of cardiovascular and cerebrovascular events,and alleviate the degree of myocardial injury in patients with T2DM.

Signal transduction and activator of transcription factor 1(STAT1), one of the important members of the STAT family, is a key cytoplasmic transcription factor and an important component of the JAK-STAT signaling pathway. Gain-of-function mutations in STAT1 (STAT1-GOF) impaired the dephosphorylation of STAT1 protein, mediated the enhancement of cell signaling pathways such as type Ⅰ, Ⅱ, and Ⅲ interferon(IFN) and interleukins-27 (IL-27), IL-6, IL-10, and IL-17, and inhibited Th17 cells. The clinical manifestations of STAT1-GOF are diverse, including chronic mucocutaneous candidiasis and autoimmune diseases. For the treatment of STAT1-GOF, such as targeted therapy with ruxolitinib for STAT1 hyperphosphorylation, immunomodulatory therapy and hematopoietic stem cell transplantation for different self-immune systems, certain curative effects can be obtained. With the understanding of disease mechanisms and the discovery of new clinical phenotypes, this review focuses on the diseases caused by gain-of-function mutations of STAT1, and introduces the clinical manifestations and treatment progress of STAT1-GOF to promote the understanding of such diseases and their future diagnosis, treatment and research works.