Insomnia is often comorbid with anxiety and/or depression.Identifying biomarkers for this comorbidity is crucial for precise diagnosis,elucidating the underlying pathological mechanisms,and developing personalized treatment strategies.Current research has preliminarily revealed a series of potential biomarkers for insomnia comorbid with anxiety and/or depression.Elevated peripheral pro-inflammatory factors(e.g.,interleukin-6),and decreased peripheral brain-derived neurotrophic factor,and monoamine neurotransmitters(e.g.,5-hydroxytryptamine)may indicate the presence of a comorbid state.However,studies focusing on this comorbidity remain relatively limited.In the future,it will be necessary to systematically explore and verify the clinical application value of potential biomarkers through measures such as expanding sample size,strengthening longitudinal design,and expanding the categories of biomarkers.This will provide a more solid theoretical foundation for the early diagnosis and personalized treatment of insomnia comorbid with anxiety and/or depression.

Objective:To investigate the association of blood lipids and body mass index (BMI) with hyperuricemia (HUA) in the elderly.Methods:It was a cross-sectional study. A total of 114 391 elderly individuals received health examinations at primary healthcare institutions in Wujin District from January to December in 2022. The health examination included questionnaire survey, physical examination and laboratory examination. The multivariate logistic regression and restricted cubic spline (RCS) plots were used to analyze the association and dose-response relationship of blood lipid and BMI with HUA. The mediating effect model was used to explore the mediation effect of BMI on the association between blood lipid and HUA.Results:Among the 112 415 subjects, 18 506 (16.46%) were checked with HUA. After adjusting for relevant confounders, total cholesterol (TC) ( OR=1.20, 95% CI: 1.16-1.23), triglyceride (TG) ( OR=1.46, 95% CI: 1.44-1.49), high density lipoprotein cholesterol (HDL-C) ( OR=0.74, 95% CI: 0.73-0.76), low density lipoprotein cholesterol (LDL-C) ( OR=1.14, 95% CI: 1.12-1.15) and BMI ( OR=1.42, 95% CI: 1.39-1.44) were all associated with HUA (all P0.05). The RCS analysis revealed that TG, HDL-C, and LDL-C each exhibited a nonlinear dose-response relationship with HUA, the inflection points was 3.00 mmol/L, 1.57 mmol/L and 2.50 mmol/L, respectively (all P-nonlinear0.001). The results of interaction showed that there were additive interaction between high TC( S=1.27 , 95% CI: 1.17-1.37), high TG( S=1.32 , 95% CI: 1.25-1.40), high LDL-C( S=1.23 , 95% CI: 1.14-1.34) and overweight/obesity with HUA (all P0.05). The results of mediation effect analysis showed that the mediation effect of BMI on the association between blood lipids (HDL-C, LDL-C, TG and TC) and HUA, from high to low, were as follows: 22.5% (95% CI: 20.8%-24.2%), 13.9% (95% CI: 12.0%-16.2%), 13.5% (95% CI: 12.7%-14.4%) and-3.9% (95% CI:-6.6%--1.8%). Conclusion:The blood lipid levels and BMI are positively correlated with HUA in the elderly.

OBJECTIVE: To explore and quantify the association of hot night exposure during the sperm development period (0-90 lag days) with semen quality. METHODS: A total of 6,640 male sperm donors from 6 human sperm banks in China during 2014-2020 were recruited in this multicenter study. Two indices (i.e., hot night excess [HNE] and hot night duration [HND]) were used to estimate the heat intensity and duration during nighttime. Linear mixed models were used to examine the association between hot nights and semen quality parameters. RESULTS: The exposure-response relationship revealed that HNE and HND during 0-90 days before semen collection had a significantly inverse association with sperm motility. Specifically, a 1 °C increase in HNE was associated with decreased sperm progressive motility of 0.0090 (95% confidence interval [ CI]: -0.0147, -0.0033) and decreased total motility of 0.0094 (95% CI: -0.0160, -0.0029). HND was significantly associated with reduced sperm progressive motility and total motility of 0.0021 (95% CI: -0.0040, -0.0003) and 0.0023 (95% CI: -0.0043, -0.0002), respectively. Consistent results were observed at different temperature thresholds on hot nights. CONCLUSION Our findings highlight the need to mitigate nocturnal heat exposure during spermatogenesis to maintain optimal semen quality.
Humans ; Male ; Semen Analysis ; Adult ; Sperm Motility ; Hot Temperature/adverse effects* ; China ; Middle Aged ; Spermatozoa/physiology* ; Young Adult

Objective The aim of this study was to characterize the basic molecular and biochemical parameters for a cyclophilin protein in Cryptosporidium parvum called CpCyP1.Methods CpCyP1 expression patterns during the parasite life cycle were evaluated using qRT-PCR with total RNA isolated from different developmental stages of C.parvum.Native CpCyP1 protein in sporozoites was detected using western blot.The localization of CpCyP1 was performed using the immunofluorescence assay,with an affinity-purified rabbit polyclonal antibody against a synthetic peptide.The peptidyl-prolyl cis-trans isomerase(PPIase)activity of His-tagged recombinant CpCyP1 was evaluated using absorbance colorimetry,and the effect of cyclosporin A(CsA)on the activity of CpCyP1 was determined.Results CpCyP1 was expressed in all parasite developmental stages,whereas CpCyP1 was present mainly in the cytosol of sporozoites,meronts,and gamonts.CpCyP1 displayed Michaelis-Menten kinetics towards N-succinyl-Ala-Ala-Pro-Phe-p-nitroanilide for its PPIase activity(Km=456.4 μmol/L;Vmax=1.981 U).CsA inhibited PPIase activity,showing lower micromolar inhibitory activity and binding affinity(Kd=5.122 μmol/L;IC50=1.004 μmol/L).Conclusions These results imply that CpCyP1 in the parasite may be the target for the previously reported anti-cryptosporidial efficacy of CsA and suggest that C.parvum cyclophilins could be evaluated as candidate drug targets.

Insomnia is often comorbid with anxiety and/or depression.Identifying biomarkers for this comorbidity is crucial for precise diagnosis,elucidating the underlying pathological mechanisms,and developing personalized treatment strategies.Current research has preliminarily revealed a series of potential biomarkers for insomnia comorbid with anxiety and/or depression.Elevated peripheral pro-inflammatory factors(e.g.,interleukin-6),and decreased peripheral brain-derived neurotrophic factor,and monoamine neurotransmitters(e.g.,5-hydroxytryptamine)may indicate the presence of a comorbid state.However,studies focusing on this comorbidity remain relatively limited.In the future,it will be necessary to systematically explore and verify the clinical application value of potential biomarkers through measures such as expanding sample size,strengthening longitudinal design,and expanding the categories of biomarkers.This will provide a more solid theoretical foundation for the early diagnosis and personalized treatment of insomnia comorbid with anxiety and/or depression.

Objective:To investigate the association of blood lipids and body mass index (BMI) with hyperuricemia (HUA) in the elderly.Methods:It was a cross-sectional study. A total of 114 391 elderly individuals received health examinations at primary healthcare institutions in Wujin District from January to December in 2022. The health examination included questionnaire survey, physical examination and laboratory examination. The multivariate logistic regression and restricted cubic spline (RCS) plots were used to analyze the association and dose-response relationship of blood lipid and BMI with HUA. The mediating effect model was used to explore the mediation effect of BMI on the association between blood lipid and HUA.Results:Among the 112 415 subjects, 18 506 (16.46%) were checked with HUA. After adjusting for relevant confounders, total cholesterol (TC) ( OR=1.20, 95% CI: 1.16-1.23), triglyceride (TG) ( OR=1.46, 95% CI: 1.44-1.49), high density lipoprotein cholesterol (HDL-C) ( OR=0.74, 95% CI: 0.73-0.76), low density lipoprotein cholesterol (LDL-C) ( OR=1.14, 95% CI: 1.12-1.15) and BMI ( OR=1.42, 95% CI: 1.39-1.44) were all associated with HUA (all P0.05). The RCS analysis revealed that TG, HDL-C, and LDL-C each exhibited a nonlinear dose-response relationship with HUA, the inflection points was 3.00 mmol/L, 1.57 mmol/L and 2.50 mmol/L, respectively (all P-nonlinear0.001). The results of interaction showed that there were additive interaction between high TC( S=1.27 , 95% CI: 1.17-1.37), high TG( S=1.32 , 95% CI: 1.25-1.40), high LDL-C( S=1.23 , 95% CI: 1.14-1.34) and overweight/obesity with HUA (all P0.05). The results of mediation effect analysis showed that the mediation effect of BMI on the association between blood lipids (HDL-C, LDL-C, TG and TC) and HUA, from high to low, were as follows: 22.5% (95% CI: 20.8%-24.2%), 13.9% (95% CI: 12.0%-16.2%), 13.5% (95% CI: 12.7%-14.4%) and-3.9% (95% CI:-6.6%--1.8%). Conclusion:The blood lipid levels and BMI are positively correlated with HUA in the elderly.

Objective: To investigate the effect of activation of the stimulator of interferon genes(STING) pathway on macrophage polarization function and its role in T-cell response. Methods: Mouse macrophage RAW264.7 cells were used.STING signaling related proteins in RAW264.7 macrophage treated with STING agonist diABZI were analyzed by Western blot,including TANK-binding kinase-1(TBK1),interferon regulatory factor-3(IRF3),STING,p-TBK1,p-IRF3,p-STING.The polarization of macrophage RAW264.7 cells treated with diABZI was analyzed by flow cytometry.Co-culture of diABZI-treated RAW264.7 macrophage and T cells was applied to evaluate the change of T cell response. Results: STING signaling related proteins were upregulated in macrophage RAW264.7 cells treated with diABZI for 3 hours.The expression of CD86 was upregulated on the surface of macrophages after 12 hours of diABZI treatment,and the CD86/CD206 ratio was elevated,which presented the M1 polarization phenotype.When coculturing diABZI-treated macrophage RAW264.7 cells with T cells,the cytokine secretion ability of T cells including CD4+T and CD8+T cells was enhanced and the expression of CD107a in CD8+T cells was upregulated. Conclusion STING signaling induces M1 polarization of macrophages which enhance the function of T cells,especially CD8+T cell immune response.

Objective To investigate the disease spectrum and pathogenic genes of inherited metabolic disorder(IMD)among neonates in Gansu Province of China.Methods A retrospective analysis was conducted on the tandem mass spectrometry data of 286 682 neonates who received IMD screening in Gansu Provincial Maternal and Child Health Hospital from January 2018 to December 2021.A genetic analysis was conducted on the neonates with positive results in tandem mass spectrometry during primary screening and reexamination.Results A total of 23 types of IMD caused by 28 pathogenic genes were found in the 286 682 neonates,and the overall prevalence rate of IMD was 0.63‰(1/1 593),among which phenylketonuria showed the highest prevalence rate of 0.32‰(1/3 083),followed by methylmalonic acidemia(0.11‰,1/8 959)and tetrahydrobiopterin deficiency(0.06‰,1/15 927).In this study,166 variants were identified in the 28 pathogenic genes,with 13 novel variants found in 9 genes.According to American College of Medical Genetics and Genomics guidelines,5 novel variants were classified as pathogenic variants,7 were classified as likely pathogenic variants,and 1 was classified as the variant of uncertain significance.Conclusions This study enriches the database of pathogenic gene variants for IMD and provides basic data for establishing an accurate screening and diagnosis system for IMD in this region.

Chromatography is one of the most important separation and analytical techniques in production activity and academic research.With the growing demand for applications,the development of targeted separation devices is costly.However,the difficulty of constructing modeling makes it difficult to validate the theoretical studies of chromatography.Three dimensional(3D)printing,as a technology that can fabricate objects by depositing materials from the bottom to up,can custom print complex structures for specific needs,and shows many advantages such as low cost,low waste,high precision,high flexibility and parallel manufacturing,demonstrating great potential in the field of chromatography separations.In recent years,with the rapid development of 3D printing technology,the printing resolution and speed have progressively improved,and the range of printable materials has largely expanded.This has led to preliminary research and application of 3D printing technology in the field of chromatography separation,resulting in brand new discoveries and technological innovations.This article made a comprehensive overview of the latest advancements in research and application of 3D printing technology in separation science,including 3D printed columns,3D printed stationary phase,and 3D printed solid-phase extraction devices.Finally,The prospects and challenges of 3D printing technology in separation science were discussed.

This study explored a new model of Prostate Imaging Reporting and Data System (PIRADS) and adjusted prostate-specific antigen density of peripheral zone (aPSADPZ) for predicting the occurrence of prostate cancer (PCa) and clinically significant prostate cancer (csPCa). The demographic and clinical characteristics of 853 patients were recorded. Prostate-specific antigen (PSA), PSA density (PSAD), PSAD of peripheral zone (PSADPZ), aPSADPZ, and peripheral zone volume ratio (PZ-ratio) were calculated and subjected to receiver operating characteristic (ROC) curve analysis. The calibration and discrimination abilities of new nomograms were verified with the calibration curve and area under the ROC curve (AUC). The clinical benefits of these models were evaluated by decision curve analysis and clinical impact curves. The AUCs of PSA, PSAD, PSADPZ, aPSADPZ, and PZ-ratio were 0.669, 0.762, 0.659, 0.812, and 0.748 for PCa diagnosis, while 0.713, 0.788, 0.694, 0.828, and 0.735 for csPCa diagnosis, respectively. All nomograms displayed higher net benefit and better overall calibration than the scenarios for predicting the occurrence of PCa or csPCa. The new model significantly improved the diagnostic accuracy of PCa (0.945 vs 0.830, P < 0.01) and csPCa (0.937 vs 0.845, P < 0.01) compared with the base model. In addition, the number of patients with PCa and csPCa predicted by the new model was in good agreement with the actual number of patients with PCa and csPCa in high-risk threshold. This study demonstrates that aPSADPZ has a higher predictive accuracy for PCa diagnosis than the conventional indicators. Combining aPSADPZ with PIRADS can improve PCa diagnosis and avoid unnecessary biopsies.
Male ; Humans ; Prostate/pathology* ; Prostate-Specific Antigen/analysis* ; Prostatic Neoplasms/diagnostic imaging* ; Biopsy ; Nomograms ; Retrospective Studies