1.Serum miR-15a and MIF levels and their relationship with adverse maternal and infant outcomes in patients with gestational diabetes mellitus
Chen ZHANG ; Aiwen MIAO ; Shanshan LI ; Gaoxiang HUO ; Shuxia WU
International Journal of Laboratory Medicine 2024;45(16):1973-1978
Objective To investigate the serum micro-ribonucleic acid-15a(miR-15a)and macrophage mi-gration inhibitory factor(MIF)levels and their relationship with adverse maternal and infant outcomes in pa-tients with gestational diabetes mellitus(GDM).Methods From January 2020 to December 2022,106 patients with GDM who underwent prenatal examination and gave birth in the Hengshui Fourth People's Hospital were selected as the experimental group.Another 106 healthy women who underwent pregnancy examination and delivered in a hospital during the same period were selected as the control group.Detection of serum miR-15a level by real-time fluorescent quantitative polymerase chain reaction and serum MIF levels were detected by enzyme-linked immunosorbent assay.Serum MIF and miR-15a levels were compared between the two groups,and the relationship between miR-15a and MIF levels and adverse maternal and infant outcomes in GDM patients was analyzed by multivariate Logistic regression.Results The serum levels of miR-15a and MIF in the experimental group were higher than those in the control group,the difference was statistically sig-nificant(P<0.05).The age of patients with adverse maternal and infant outcomes in the experimental group was>35 years old,the pre-pregnancy body mass index was>24 kg/m2,the proportion of patients with ad-verse pregnancy history,poor blood glucose control and serum MIF and miR-15a levels were higher than those with good maternal and infant outcomes in the experimental group,and the differences were statistically sig-nificant(P<0.05).Multivariate Logistic regression analysis showed that age>35 years old,pre-pregnancy body mass index>24 kg/m2,adverse pregnancy history,poor blood glucose control and serum miR-15a and MIF were all risk factors for adverse maternal and infant outcomes in the experimental group(P<0.05).Conclusion Serum miR-15a and MIF levels are abnormally elevated in GDM patients,and serum miR-15a and MIF levels are closely related to adverse maternal and infant outcomes.
2.Association Between the Aggregate Index of Systemic Inflammation and Albuminuria:A Cross-Sectional Study of National Health and Nutrition Examination Survey 2007-2018
Lirong SUN ; Xingwei HUO ; Shanshan JIA ; Xiaoping CHEN
Journal of Sichuan University (Medical Sciences) 2024;55(3):671-679
Objective Prior studies have established a connection between albuminuria and various inflammatory reactions,highlighting that an increase in C-reactive protein by 1 mg/L increases the likelihood of albuminuria by 2%.Recent investigations indicate a positive correlation between the systemic immune-inflammation index(SII)and increased urinary protein excretion.In addition,elevated levels of the systemic inflammatory response index(SIRI)also correlate with a higher prevalence of albuminuria.The aggregate index of systemic inflammation(AISI)offers a more comprehensive indicator of inflammation,providing an extensive assessment of systemic inflammatory status compared to SII and SIRI.Yet,the specific relationship between AISI and albuminuria remains unclear.This study aims to explore this association in U.S.adults.Methods We analyzed data from the National Health and Nutrition Examination Survey(NHANES)for 2007-2018,excluding pregnant women and individuals under 18.Cases with missing data on AISI,urinary albumin concentration,and other covariates were also excluded.AISI was computed using the formula:AISI=(platelet count×neutrophil count×monocyte count)/lymphocyte count.Albuminuria was defined as the urinary albumin-to-creatinine ratio exceeding 30 mg/g.Continuous variables were presented in the form of the mean±standard error,and categorical variables in percentages.We utilized weighted t-tests and chi-square tests for baseline comparisons.We applied weighted multivariable logistic regression and generalized additive models(GAM)to explore the association between AISI and albuminuria and to assess potential nonlinear relationships.Results The study included 32 273 participants,with an average age of(46.75±0.24)years old.The cohort comprised 48.73% males and 51.27% females.The prevalence of albuminuria was 9.64%.The average logarithmic value of log2AISI was 7.95±0.01,and were categorized into tertiles as follows:Quartile 1(Q1)(4.94 to 7.49),Q2(7.49 to 8.29),and Q3(8.29 to 10.85).As log2AISI increased,so did the prevalence of hypertension,diabetes,congestive heart failure,and albuminuria,all showing statistically significant increases(P<0.001).Similarly,the use of antihypertensive,lipid-lowering,and hypoglycemic drugs was also more prevalent(P<0.001).Statistically significant differences were observed across the three groups concerning age,race and ethnicity,formal education,alcohol consumption,smoking status,systolic and diastolic blood pressures,body mass index,estimated glomerular filtration rate,HbA1c,alanine aminotransferase,aspartate aminotransferase,albumin,creatinine,uric acid,and high-density lipoprotein cholesterol(P<0.05).However,no significant differences were noted in the total cholesterol or the sex ratios among the groups.The association between log2AISI and albuminuria was assessed using weighted multivariable logistic regression,and the detailed results are presented in Table 2.In model 1,without adjusting for covariates,each unit increase in log2AISI was associated with a 32% increase in the risk of albuminuria(odds ratio[OR]=1.32,95% confidence interval[CI]:1.27-1.38,P<0.001).Model 2 was adjusted for age,gender,race,and education level,and showed a similar trend,with each unit increase in log2AISI associated with a 31% increased risk(OR=1.31,95% CI:1.26-1.37,P<0.001).Model 3,which was further adjusted for all covariates,revealed that each unit increase in log2AISI was associated with a 20% increase in the risk of albuminuria(OR=1.20,95% CI:1.15-1.26,P<0.001).The study also transformed log2AISI from a continuous to a categorical variable for analysis.Compared with Q1,the risk of albuminuria in Q3,after adjusting for all covariates,significantly increased(OR=1.37,95% CI:1.22-1.55,P<0.001).Q2 also demonstrated a higher risk compared with Q1(OR=1.13,95% CI:1.06-1.36,P=0.004).The trend test indicated a dose-effect relationship between increasing log2AISI and the rising risk of albuminuria.GAM revealed a nonlinear relationship between log2AISI and albuminuria,with distinct trends noted between sexes.Segmented regression based on turning points showed significant effects among women,although the slope difference between the segments was not significant.In men,a significant threshold effect was observed;below the log2AISI of 7.25,increases in log2AISI did not enhance the risk of albuminuria,but above this threshold,the risk significantly increased.As part of a sensitivity analysis,weighted multivariable logistic regression was performed by changing the outcome variable to macroalbuminuria and adjusting for all covariates.The analysis showed that for every unit increase in log2AISI,the risk of developing macroalbuminuria increased by 31% (OR=1.31,95% CI:1.15-1.49,P<0.001).Compared with Q1,the risk of albuminuria in Q3 increased by 69% (OR=1.69,95% CI:1.27-2.25,P<0.001),and in Q2,it increased by 40% (OR=1.40,95% CI:1.03-1.92,P=0.030).Subgroup analysis and interaction results showed that the positive association between AISI and proteinuria risk was stronger in men than in women.Similarly,the association was stronger in people with hypertension compared with those with normal blood pressure,and higher in overweight people compared with those of normal weight.Furthermore,smokers and drinkers showed a stronger positive association between AISI and the risk of proteinuria than non-smokers and non-drinkers do.These results suggest that sex,blood pressure,body mass index,smoking,and alcohol consumption interact with AISI to influence the risk of proteinuria.Conclusion There is a robust positive association between AISI and increased risks of albuminuria in US adults.As log2AISI increases,so does the risk of albuminuria.However,further validation of this conclusion through large-scale prospective studies is warranted.
3.Progresses on RNA-based therapeutics for genetic diseases.
Ting LUO ; Chunxiao HUO ; Tianhua ZHOU ; Shanshan XIE
Journal of Zhejiang University. Medical sciences 2023;():1-11
RNA therapeutics inhibit the expression of specific proteins/RNAs by targeting complementary sequences of corresponding genes, or synthesize proteins encoded by the desired genes to treat genetic diseases. RNA-based therapeutics are categorized as oligonucleotide drugs (antisense oligonucleotides, small interfering RNA, RNA aptamers), and mRNA drugs. The antisense oligonucleotides and small interfering RNA for treatment of genetic diseases have been approved by the FDA in the United State, while RNA aptamers and mRNA drugs are still in clinical trials. Chemical modifications are applied to RNA drugs, such as pseudouridine modification of mRNA, to reduce immunogenicity and improve the efficacy. The secure and effective delivery systems like lipid-based nanoparticles, extracellular vesicles, and virus-like particles are under development to address stability, specificity, and safety issues of RNA drugs. This article provides an overview of the specific molecular mechanisms of 11 RNA drugs currently used for treating genetic diseases, and discusses the research progress of chemical modifications and delivery systems of RNA drugs.
4.Progress on RNA-based therapeutics for genetic diseases.
Ting LUO ; Chunxiao HUO ; Tianhua ZHOU ; Shanshan XIE
Journal of Zhejiang University. Medical sciences 2023;52(4):406-416
RNA therapeutics inhibit the expression of specific proteins/RNAs by targeting complementary sequences of corresponding genes or encode proteins for the synthesis desired genes to treat genetic diseases. RNA-based therapeutics are categorized as oligonucleotide drugs (antisense oligonucleotides, small interfering RNA, RNA aptamers), and mRNA drugs. The antisense oligonucleotides and small interfering RNA for treatment of genetic diseases have been approved by the FDA in the United States, while RNA aptamers and mRNA drugs are still in clinical trials. Chemical modifications can be applied to RNA drugs, such as pseudouridine modification of mRNA, to reduce immunogenicity and improve the efficacy. The secure and effective delivery systems such as lipid-based nanoparticles, extracellular vesicles, and virus-like particles are under development to address stability, specificity, and safety issues of RNA drugs. This article provides an overview of the specific molecular mechanisms of eleven RNA drugs currently used for treating genetic diseases, and discusses the research progress of chemical modifications and delivery systems of RNA drugs.
Aptamers, Nucleotide
;
RNA, Small Interfering/therapeutic use*
;
RNA, Messenger
;
Oligonucleotides, Antisense/therapeutic use*
5.Recent advances in developing small-molecule inhibitors against SARS-CoV-2.
Rong XIANG ; Zhengsen YU ; Yang WANG ; Lili WANG ; Shanshan HUO ; Yanbai LI ; Ruiying LIANG ; Qinghong HAO ; Tianlei YING ; Yaning GAO ; Fei YU ; Shibo JIANG
Acta Pharmaceutica Sinica B 2022;12(4):1591-1623
The COVID-19 pandemic caused by the novel SARS-CoV-2 virus has caused havoc across the entire world. Even though several COVID-19 vaccines are currently in distribution worldwide, with others in the pipeline, treatment modalities lag behind. Accordingly, researchers have been working hard to understand the nature of the virus, its mutant strains, and the pathogenesis of the disease in order to uncover possible drug targets and effective therapeutic agents. As the research continues, we now know the genome structure, epidemiological and clinical features, and pathogenic mechanism of SARS-CoV-2. Here, we summarized the potential therapeutic targets involved in the life cycle of the virus. On the basis of these targets, small-molecule prophylactic and therapeutic agents have been or are being developed for prevention and treatment of SARS-CoV-2 infection.
6.Analysis on the changing trend of nursing human resources in China from 1990 to 2019
Nan MU ; Wuping ZHOU ; Shanshan HUO ; Lei YANG ; Zhijun WU ; Weiyan JIAN
Chinese Journal of Hospital Administration 2021;37(10):848-851
Objective:To clarify the long-term trend of nursing human resource allocation in China, and provide basis for relevant departments to optimize nursing human resource allocation.Methods:Data were extracted from China′s health statistical yearbook from 1990 to 2019. Six indicators of the number of registered nurses, the number of registered nurses per 1 000 population, the ratio of registered nurses to health technicians, doctor-nurse ratio, hospital bed-nurse ratio and nurse-patient ratio were used to make a descriptive statistical analysis on the changing trend of nursing human resources in China.Results:From 1990 to 2019, the number of registered nurses increased from 0.970 million to 4.445 million in China, with an average annual growth rate of 5.37%, the average annual growth rate was 2.23% from 1990 to 2005, 9.96% from 2006 to 2013, and 8.21% from 2014 to 2019. The number of registered nurses per 1 000 population increased from 0.85 to 3.18, with a 4.65% annual growth rate, the doctor-nurse ratio increased from 1∶0.55 to 1∶1.15, with a 2.58% annual growth rate, the hospital bed-nurse ratio increased from 1∶0.33 to 1∶0.50, and the average annual growth rate was 1.44%. The proportion of registered nurses to health technicians increased from 24.87% in 1990 to 43.84% in 2019, however, the number of registered nurses in hospitals accounted for about 73.00% of registered nurses in health institutions.Conclusions:From 1990 to 2019, the overall allocation efficiency of nursing human resources in China has been significantly optimized, and indicators such as doctor-nurse ratio and hospital bed-nurse ratio have improved, but the growth rate is slowing down. The relevant departments need to take necessary measures to further increase the absolute and relative number of nurses to cope with the increasing service demand.
7.The associated factors of cesarean section during COVID-19 pandemic: a cross-sectional study in nine cities of China.
Jian ZHANG ; Yumei ZHANG ; Yidi MA ; Yalei KE ; Shanshan HUO ; Liping HE ; Wenjuan LUO ; Jing LI ; Ai ZHAO
Environmental Health and Preventive Medicine 2020;25(1):60-60
BACKGROUND:
Improving and maintaining the health of mothers and newborns is indisputably a global priority, especially during a pandemic. This study intends to examine the factors associated with cesarean section (CS) during lockdown time.
METHODS:
A total of 678 women who just gave birth within 7 days were enrolled from maternal and children hospitals in nine cities of China from April to May 2020. The delivery modes and potential influencing factors were investigated. The subgroup analysis and sensitivity analysis were used to examine the association of CS and risk factors among populations with different characteristics and to control for possible confounding, respectively.
RESULTS:
The overall rate of cesarean delivery was 37.3%. In multi-variant model, maternal age > 30 years (OR, 95% CI = 1.71, 1.21-2.41), higher pre-gestational BMI (OR, 95% CI = 1.16, 1.10-1.23), living in regions with confirmed COVID-19 cases > 500 (OR, 95% CI = 2.45, 1.74-3.45), and excess gestational weight gain (OR, 95% CI = 1.73, 1.17-2.55) were associated with cesarean delivery. These trends of associations were not changes in sensitivity analysis and subgroup analysis. Cesarean delivery occurred more in women who got more nutrition instruction during the pandemic period in the univariant model; however, this association showed insignificance in the multiple-variant analysis.
CONCLUSION
A high cesarean delivery rate was found in uninfected women who experienced lockdown in their third trimester. During the COVID-19 pandemic, more medical support should be provided in severely affected regions to ensure and promote health in pregnancy.
8.Review of absolute quantification of brain metabolites by using multi-voxel 1H-MRS
Shanshan HUO ; Zhiwei SHEN ; Yaowen CHEN ; Huang HUANG ; Xiaofang CHENG ; Renhua WU ; Qingchun QIU
International Journal of Biomedical Engineering 2011;34(3):174-178
The technology of Magnetic Resonance Spectroscopy(MRS) is a newly-developed mean for analyzing some specific nucleus and their compounds making use of the principles of magnetic resonance and the effects of chemical shift. Currently, among MRS applications, proton magnetic resonance spectroscopy (1HMRS) is the most widely applied one developed from single voxel to three-dimensional multi-voxel scanning technique. It provides a lot of important information for clinical studies. This article mainly reviews the methods for absolute quantification measurement of brain metabolites using multi-voxel MRS.

Result Analysis
Print
Save
E-mail