Objective:Nailfold video capillaroscopy (NVC) was used to evaluate the microvascular changes in patients with connective tissue diseases (CTD)-related Raynaud′s phenomenon and explore its potential application value in understanding the pathogenesis, diagnosis, and treatment of CTD.Methods:The literature on NVC of connective tissue disease related patients published by CNKI, China biomedical literature database, Weipu Database,Wanfang Database, PubMed, Embase, Web of Science and Cochrane were searched, and the publication cases of time was up until May 2024. Quality assessment of the included studies was performed using the National Institutes of Health observational cohort and cross-sectional study quality assessment tools. Begg′s test and Egger′s test were analyzed with random effects meta-analysis.Results:A total of 12 studies were included, including 495 cases of Raynaud′s phenomenon of Connective tissue diseases, and 716 no-Raynaud′s phenomenon of Connective tissue diseases. The abnormal rate of nail microcirculation in CTDs-RP group was higher than that in CTDs-nonRP group [ OR value(95% CI)=2.20 (1.55, 3.12), P<0.001], Subgroup analysis showed that the proportion of scleroderma pattern in the CTDs-RP group was higher than that in the control group [ OR value (95% CI)=10.88 (2.34, 50.52), P=0.002], Telangiectasia rate in the CTDs-RP group was higher than that in the control group [ OR value (95% CI)=5.12 (3.40, 7.70), P<0.001]. The SSc pattern was higher in patients with CTD-RP than in the control group [ OR (95% CI)=2.47 (1.60, 3.79), P<0.001], The rate of capillary malformation in the CTD-RP group was higher than that in the control group [ OR value (95% CI)=2.39 (1.36, 4.19), P=0.002], The capillary density was mild decreased in the CTD-RP group [SMD value (95% CI)=-0.27 (-0.66, 0.13), P=0.185]. Conclusion:The proportion of patients with nail-fold abnormality is higher in CTD-RP group was higher than in the CTD-noRP group, and the microcirculation injury is more severe in CTD-RP group.

Objective:To explore the clinicopathological characteristics and prognosis of fumarate hydratase-deficient uterine leiomyoma (FH-dUL).Methods:Clinical data and follow-up information for 117 patients with FH-dUL diagnosed through surgical pathology and immunohistochemistry in the First Affiliated Hospital of Nanjing Medical University from January 2020 to December 2024, were collected. A control group of 130 patients with common uterine leiomyomas was also included. The differences between the two groups in clinical, imaging, and pathological characteristics were compared. Additionally, recurrence rates, fertility outcomes for FH-dUL patients, and the incidence of renal cancer in FH germline mutation carriers were monitored.Results:(1) Comparison of clinicopathological characteristics: the median age of 117 FH-dUL patients was 35 years, and the median age at first diagnosis of uterine leiomyomas was 29 years, both significantly younger than the control group (41 and 36 years; both P<0.01). The FH-dUL group showed significantly higher incidences of uterine myomectomy, multiple leiomyomas, diffusion restriction on pelvic magnetic resonance imaging diffusion weighted imaging, and typical pathological features (candelabra-like vessels, bizarre nuclei, cytoplasmic eosinophilic globules, perinuclear halo, cellular atypia) and higher ultrasound blood flow score (all P<0.05). Of the 30 FH-dUL patients who underwent genetic testing, 9 had germline mutations, 3 had somatic mutations, and 6 had mutations of unclear origin. Among the 9 FH gene germline mutation patients, 2 had already developed renal cell carcinoma. (2) Recurrence analysis: among the 56 patients who underwent uterine myomectomy, 22 (39.3%, 22/56) experienced recurrence during follow-up, compared to 12 (21.8%, 12/55) of the 55 patients in the control group, the difference between the two groups was statistically significant ( P=0.046). Multivariate binary logistic regression analysis showed that cellular leiomyomas ( OR=9.489, 95% CI: 1.740-51.755; P=0.009) and multiple uterine leiomyomas ( OR=10.709, 95% CI: 1.354-84.683; P=0.025) were significant risk factors for recurrence in FH-dUL. (3) Fertility analysis: among the 66 FH-dUL patients who underwent fertility-preserving surgery, 16 had the intention to have fertility desire, only 2 (2/16) completed their fertility plans during follow-up. Conclusions:Clinicopathological features and imaging features help to differentiate FH-dUL from common type uterine fibroids, but lack specificity, and the diagnosis of FH-dUL is based on immunohistochemistry. The recurrence rate after resection of FH-dUL is high, and cellular and multiple leiomyomas are important predictors of recurrence. It is crucial to perform genetic testing, genetic counseling, drug treatment to prevent recurrence, fertility guidance, and long-term comprehensive management after surgery for FH-dUL management.

Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the"therapeutic module"of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

As the brain's resident immune cells, microglia perform crucial functions such as phagocytosis, neuronal network maintenance, and injury restoration by adopting various phenotypes. Dynamic imaging of these phenotypes is essential for accessing brain diseases and therapeutic responses. Although numerous probes are available for imaging pro-inflammatory microglia, no PET tracers have been developed specifically to visualize anti-inflammatory microglia. In this study, we present an ¹⁸F-labeled PET tracer (QTFT) that targets the P2Y₁₂, a receptor highly expressed on anti-inflammatory microglia. [¹⁸F]QTFT exhibited high binding affinity to the P2Y₁₂ (14.43 nmol/L) and superior blood-brain barrier permeability compared to other candidates. Micro-PET imaging in IL-4-induced neuroinflammation models showed higher [¹⁸F]QTFT uptake in lesions compared to the contralateral normal brain tissues. Importantly, this specific uptake could be blocked by QTFT or a P2Y₁₂ antagonist. Furthermore, [¹⁸F]QTFT visualized brain lesions in mouse models of epilepsy, glioma, and aging by targeting the aberrantly expressed P2Y₁₂ in anti-inflammatory microglia. In a pilot clinical study, [¹⁸F]QTFT successfully located epileptic foci, showing enhanced radioactive signals in a patient with epilepsy. Collectively, these studies suggest that [¹⁸F]QTFT could serve as a valuable diagnostic tool for imaging various brain disorders by targeting P2Y₁₂ overexpressed in anti-inflammatory microglia.

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

Objective To identify the key biomarkers for diagnosing chronic obstructive pulmonary disease(COPD)complicated with pulmonary arterial hypertension(PAH)using bioinformatics,and validate their clinical significance.Methods High-throughput sequencing data analysis was employed to identify differentially expressed genes(DEGs)in COPD-PAH.Functional enrichment analysis was then conducted to explore the biological functions of these DEGs.Machine learning methods,including least absolute shrinkage and selection operator(LASSO),random forest(RF),and support vector machine-recursive feature elimination(SVM-RFE),were utilized to screen 5 potential biomarkers.Single-cell analysis was performed to reveal the expression patterns of these key genes in macrophages.The clinical significance of these biomarkers was further validated using peripheral blood mononuclear cells(PBMC)data.A mouse model of COPD-PAH was established using hypoxia exposure.Sixteen mice(either sexes,8 weeks old,weighing 20～22 g)were randomly divided into a hypoxia group[O2(10.0±0.5)%,COPD-PAH,n=8]and a normoxia group(COPD,n=8).Immunofluorescence assay was used to label the key biomarkers,and their expression levels were quantified.Results A total of 28 DEGs(|Log2FC|≥2,P<0.05)were identified in COPD-PAH patients.Functional enrichment analysis indicated that DEGs in COPD were primarily associated with major histocompatibility complex(MHC)Ⅱ and cell division,and involved in lysosomes,oxidative phosphorylation,and cell cycle pathways(P<0.05).Machine learning identified 5 potential biomarkers(GRN,KLF4,SHTN1,LRP1,and GPNMB),and subsequent single-cell analysis revealed that these markers exhibited reverse expression patterns during disease progression.A nomogram model constructed based on PBMC data yielded an area under the curve(AUC)of 0.907 in diagnosing COPD-PAH.GRN,KLF4,SHTN1,LRP1 and GPNMB were significantly upregulated in the COPD-PAH group(P<0.05).Conclusion GRN,KLF4,SHTN1,LRP1 and GPNMB are identified as key biomarkers for the prediction and diagnosis of COPD-PAH,which providing new insights for the clinical and treatment of the condition.

This study aims to explore the mechanism of Huanglian Jiedu Decoction(HJD) in treating acute liver injury(ALI) in the mouse model of sepsis induced by lipopolysaccharide(LPS). Fifty-four male C57BL/6 mice were randomized into six groups: blank group, model group, low-, medium-, and high-dose group HJD, and dexamethasone group. The mouse model of sepsis was established by intraperitoneal injection of LPS after 7 days of gavage with HJD, and dexamethasone(0.2 mL) was injected intraperitoneally 1.5 h after modeling. The murine sepsis score(MSS) was recorded 12 h after modeling. The levels of alanine aminotransferase(ALT) and aspartate aminotransferase(AST) in the liver tissue and tumor necrosis factor-α(TNF-α) and interleukin-6(IL-6) in the serum were measured by ELISA. Hematoxylin-eosin(HE) staining was used to observe the pathological changes of the mouse liver. The content of light chain 3 of microtubule-associated protein 1(LC3) was detected by immunofluorescence, and that of sirtuin 1(SIRT1) was detected by immunohistochemistry. The mRNA levels of adenosine 5'-monophosphate-activated protein kinase(AMPK), LC3, and P62 were detected by RT-PCR. Western blot was employed to determine the protein levels of AMPK, p-AMPK, and SIRT1 in the liver tissue. The results showed that compared with model group, drug interventions decreased the MSS and liver injury indicators, lowered the levels of inflammatory cytokines, improved the liver tissue structure, upregulated the protein levels of of p-AMPK/AMPK and SIRT1 and the mRNA levels of AMPK and LC3, and downregulated the mRNA level of P62. To sum up, HJD can regulate the autophagy level and reduce inflammation to ameliorate acute liver injury in septic mice by activating the AMPK/SIRT1 autophagy pathway.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Sirtuin 1/genetics* ; Male ; Mice ; Sepsis/metabolism* ; Mice, Inbred C57BL ; Autophagy/drug effects* ; AMP-Activated Protein Kinases/genetics* ; Liver/metabolism* ; Humans ; Signal Transduction/drug effects* ; Disease Models, Animal ; Tumor Necrosis Factor-alpha/genetics*

PURPOSE: To methodically assess the effectiveness of augmentative plating (AP) and exchange nailing (EN) in managing nonunion following intramedullary nailing for long bone fractures of the lower extremity. METHODS: PubMed, EMBASE, Web of Science, and the Cochrane Library were searched to gather clinical studies regarding the use of AP and EN techniques in the treatment of nonunion following intramedullary nailing of lower extremity long bones. The search was conducted up until May 2023. The original studies underwent an independent assessment of their quality, a process conducted utilizing the Newcastle-Ottawa scale. Data were retrieved from these studies, and meta-analysis was executed utilizing Review Manager 5.3. RESULTS: This meta-analysis included 8 studies involving 661 participants, with 305 in the AP group and 356 in the EN group. The results of the meta-analysis demonstrated that the AP group exhibited a higher rate of union (odds ratio: 8.61, 95% confidence intervals (CI): 4.12 - 17.99, p < 0.001), shorter union time (standardized mean difference (SMD): -1.08, 95% CI: -1.79 - -0.37, p = 0.003), reduced duration of the surgical procedure (SMD: -0.56, 95% CI: -0.93 - -0.19, p = 0.003), less bleeding (SMD: -1.5, 95% CI: -2.81 - -0.18, p = 0.03), and a lower incidence of complications (relative risk: -0.17, 95% CI: -0.27 - -0.06, p = 0.001). In the subgroup analysis, the time for union in the AP group in nonisthmal and isthmal nonunion of lower extremity long bones was shorter compared to the EN group (nonisthmal SMD: -1.94, 95% CI: -3.28 - -0.61, p < 0.001; isthmal SMD: -1.08, 95% CI: -1.64 - -0.52, p = 0.002). CONCLUSION In the treatment of nonunion in diaphyseal fractures of the long bones in the lower extremity, the AP approach is superior to EN, both intraoperatively (with reduced duration of the surgical procedure and diminished blood loss) and postoperatively (with an elevated union rate, shorter union time, and lower incidence of complications). Specifically, in the management of nonunion of lower extremity long bones with non-isthmal and isthmal intramedullary nails, AP demonstrated shorter union time in comparison to EN.
Humans ; Bone Nails/adverse effects* ; Bone Plates/adverse effects* ; Femoral Fractures/surgery* ; Fracture Fixation, Intramedullary/methods* ; Fractures, Ununited/surgery* ; Lower Extremity/injuries*

This study explores whether the current external quality assessment (EQA) level and acceptable bias for basic semen analysis in China are clinically useful. We collected data of semen EQA from Andrology laboratories in the Hunan Province (China) in 2022 and searched for data in the published literature from January 2000 to December 2023 in China. On the basis of these data, we analyzed the coefficients of variation and acceptable biases of different quality control materials for basic semen analysis through robust statistics. We compared these findings with quality specifications based on biological variation from optimal, desirable, and minimum levels of bias to seek a unified and more suitable semen EQA bias evaluation standard for China's national conditions. Different sources of semen quality control material exhibited considerable variation in acceptable biases among laboratories, ranging from 8.2% to 56.9%. A total of 50.0% of the laboratories met the minimum quality specifications for progressive motility (PR), whereas 100.0% and 75.0% of laboratories met only the minimum quality specifications for sperm concentration and total motility (nonprogressive [NP] + PR), respectively. The Z value for sperm concentration and PR+NP was equivalent to the desirable performance specification, whereas the Z value for PR was equivalent only to the minimum performance specification. This study highlights the feasibility of operating external quality assessment schemes for basic semen analysis using quality specifications based on biological variation. These specifications should be unified among external quality control (EQC) centers based on biological variation.
Semen Analysis/standards* ; Humans ; China ; Male ; Quality Control ; Sperm Motility ; Sperm Count/standards*

Objective To explore the path of expanding the forms and optimizing the effects of children's health science popularization,further enhance the dissemination effect of science popularization,and improve children's health literacy.Meth-ods The WeChat public account of a tertiary pediatric hospital in Tianjin was selected as the research object.Using case analy-sis and data collection methods,statistics on the proportion of health science articles,the proportion of forms,reading volume,and other data were collected.Quantitative analysis was conducted on the dissemination effect of health science popularization.Strategies were proposed based on the problems reflected in the data.Results In this study,184 articles were studied,and 61 science popularization articles were analyzed in depth.In terms of science content,there were 2 articles with a total reading vol-ume of over 100 000.The average reading volume was mostly distributed in the range of 1 000-3 000 views,and the number of forwards and views maintained a low level of 4-15 views.In terms of the form of science popularization,the average reading vol-ume of video content was about 3 600 views,and the average reading volume of comic content was about 8 800 views,both lower than the average reading volume of traditional graphic content.Conclusion Based on the problems of low accuracy of children's health science content and insufficient formal innovation,an optimization path centered on the audience to optimize content and expand forms is proposed.This provides a reference for medical institutions to further leverage the role of WeChat public accounts and improve the level of children's health science popularization.