Global disability-adjusted life years and deaths attributable to child and maternal malnutrition from 1990 to 2019.

Background: Child and maternal malnutrition (CMM) caused heavy disability-adjusted life years (DALY) and deaths globally. It is crucial to understand the global burden associated with CMM in order to prioritize prevention and control efforts. We performed a comprehensive analysis of the global DALY and deaths attributable to CMM from 1990 to 2019 in this study. Methods: The age-standardized CMM related burden including DALY and death from 1990 to 2019 were accessed from the Global Burden of Disease study 2019 (GBD 2019). The changing trend were described by average annual percentage change (AAPC). The relationship between sociodemographic factors and burden attributable to CMM were explored by generalized linear model (GLM). Results: Globally, in 2019, the age-standardized DALY and death rates of CMM were 4,425.24/100,000 (95% UI: 3,789.81/100,000-5,249.55/100,000) and 44.72/100,000 (95% UI: 37.83/100,000-53.47/100,000), respectively. The age-standardized DALY rate (AAPC = -2.92, 95% CI: -2.97% to -2.87%) and death rates (AAPC = -3.19, 95% CI: -3.27% to -3.12%) presented significantly declining trends during past 30 years. However, CMM still caused heavy burden in age group of <28 days, Sub-Saharan Africa and low SDI regions. And, low birth weight and short gestation has identified as the primary risk factors globally. The GLM indicated that the highly per capita gross domestic product, per capita current health expenditure, physicians per 1,000 people were contributed to reduce the burden attributable to CMM. Conclusion: Although global burden attributable to CMM has significantly declined, it still caused severe health burden annually. To strengthen interventions and address resources allocation in the vulnerable population and regions is necessary.

The global region-specific epidemiologic characteristics of influenza: World Health Organization FluNet data from 1996 to 2021.

OBJECTIVES: This study aimed to investigate region-specific epidemiologic characteristics of influenza and influenza transmission zones (ITZs). METHODS: Weekly influenza surveillance data of 156 countries from 1996 to 2021 were obtained using FluNet. Joinpoint regression was used to describe global influenza virus trends, and clustering analyses were used to classify the ITZs. RESULTS: The global median average positive rate for total influenza virus was 16.19% (interquartile range: 11.62-25.70%). Overall, three major subtypes (influenza H1, H3, and B viruses) showed alternating epidemics. Notably, the proportion of influenza B viruses increased significantly from July 2020 to June 2021, reaching 62.66%. The primary peaks of influenza virus circulation in the north were earlier than those in the south. Global influenza virus circulation was significantly characterized by seven ITZs, including "Northern America" (primary peak: week 10), "Eastern & Southern-Asia" (primary peak: week 10), "Europe" (primary peak: week 11), "Asia-Europe" (primary peak: week 12), "Southern-America" (primary peak: week 30), "Oceania-Melanesia-Polynesia" (primary peak: week 39), and "Africa" (primary peak: week 46). CONCLUSION: Global influenza virus circulation was significantly characterized by seven ITZs that could be applied to influenza surveillance and warning.

The association of lncRNA SNPs and SNPs-environment interactions based on GWAS with HBV-related HCC risk and progression.

BACKGROUND: Long non-coding RNA (lncRNA) plays an essential role in hepatitis B virus-related hepatocellular carcinoma (HBV-related HCC) occurrence and development. Single nucleotide polymorphism (SNP) may affect HBV-related HCC susceptibility by altering the function of lncRNA. However, the relationship between lncRNA SNPs and HBV-related HCC occurrence and development is still unclear. METHODS: In the present study, based on HBV-related HCC genome-wide association studies, eight potentially functional SNPs from two lncRNAs were predicted using a set of bioinformatics strategies. In 643 HBV-related HCC patients, 549 CHB carriers, and 553 HBV natural clearance subjects from Southern Chinese, we evaluated associations between SNPs and HBV-related HCC occurrence or development with odds ratio (OR) and 95% confidence interval (CI) under credible genetic models. RESULTS: In HBV-related HCC patients, rs9908998 was found to significantly increase the risk of lymphatic metastasis under recessive model (Adjusted OR = 1.95, 95% CI = 1.20-3.17). Lnc-RP11-150O12.3 rs2275959, rs1008547, and rs11776545 with cancer family history may show significant multiplicative and additive interactions on HBV-related HCC susceptibility (all pAdjusted < .05). The associations of rs2275959, rs1008547, and rs11776545 with distant metastasis of HBV-related HCC patients were observed in additive model (Adjusted OR = 1.45, 95% CI = 1.06-1.97 for rs2275959; Adjusted OR = 1.45, 95% CI = 1.06-1.98 for rs1008547; Adjusted OR = 1.40, 95% CI = 1.03-1.91 for rs11776545). CONCLUSION: Taken together, lnc-ACACA-1 rs9908998, lnc-RP11-150O12.3 rs2275959, rs1008547, and rs11776545 might be predictors for HBV-related HCC risk or prognosis.

Association of tagSNPs at lncRNA MALAT-1 with HCC Susceptibility in a Southern Chinese Population.

As a long non-coding RNA (lncRNA) and a transcriptional regulator, Metastasis associated lung adenocarcioma transcript-1 (MALAT-1) has been reported to be associated with proliferation and metastasis of hepatocellular carcinoma (HCC). However, the effects of MALAT-1 single nucleotide polymorphisms (SNPs) on HCC remains poorly understood. This study, including 624 HCC cases and 618 controls, aimed to explore the potential associations between three common tagSNPs at MALAT-1 and HCC risk in a Southern Chinese population. No significant associations were observed between the three tagSNPs and HCC risk under any genetic models after adjusting for potential confounders. Additionally, there were no any significant associations in the stratified analysis, combined effect analysis, and multifactor dimensionality reduction (MDR) analysis. Unification analysis of mediation and interaction on HCC risk further showed that four decomposition of total effects ((controlled direct effect (CDE), the reference interaction effect (INTref), the mediated interaction effect (INTmed), or the pure indirect effect (PIE)) were also not significant. Neither was the association between the MALAT-1 SNPs and progression factors of HCC, including TNM staging, metastasis, and cancer embolus; Overall, this study suggested that tagSNPs rs11227209, rs619586, and rs3200401 at MALAT-1 were not significantly associated with HCC susceptibility. Nevertheless, large population-based studies are warranted to further explore the role of MALAT-1 SNPs in HCC incidence and development.

SNP-SNP and SNP-environment interactions of potentially functional HOTAIR SNPs modify the risk of hepatocellular carcinoma.

HOX transcript antisense intergenic RNA (HOTAIR) has been widely regarded as a functional lncRNA contributing to multiple cancers. However, few studies have examined the effect of single nucleotide polymorphisms (SNPs) in HOTAIR on the occurrence and development of hepatocellular carcinoma (HCC). In this study, three potentially functional HOTAIR SNPs (rs17105613, rs12427129, and rs3816153) were selected using bioinformatic tools. A case-control study including 1262 cases and 1559 controls was conducted to explore the association of HOTAIR SNPs with the risk of HCC in a Southern Chinese population. We found that SNPs rs12427129 and rs3816153 were associated with the risk of HCC in dominant genetic models (CC: CT + TT, adjusted odds ratio (OR) = 0.72, 95% confidence interval (CI) = 0.57-0.90 and GG: GT + TT, adjusted OR = 1.30, 95%CI = 1.08-1.57). Additionally, SNP-environment interactions for rs12427129, rs3816153, and HBsAg status were found to enhance the risk of HCC, with FDR-P as an additive interaction equal to 0.0006 and 0.0144, respectively. In multifactor dimensionality reduction (MDR) analysis, the three-factor model (HBsAg status, rs12427129 and rs3816153) yielded the highest test accuracy of 77.74% (permutation P < 0.001). Interestingly, the effect of rs12427129 and rs3816153 on the risk of HCC could be modified by HBsAg status, while the rs12427129 CT/TT genotype could antagonize the detrimental effect of rs3816153 GT/TT genotype on HCC. Our findings suggest that rs12427129 and rs3816153, including their SNP-SNP and SNP-environment interaction with HBsAg status, potentially play important roles on the susceptibility to HCC.

Comparison of common burden tests for genetic association studies of rare variants.

Common burden tests have different statistical performance in genetic association studies of rare variants. Here, we compare the statistical performance of burden tests, such as CMC, WST, SUM and extension methods, using the computer-simulated datasets of rare variants with different parameters of sample sizes, linkage disequilibrium (LD), and different numbers of mixed non-associated variants. The simulation results showed that the type I error for all methods is near 0.05. When the rare variants had the same direction of effect, the higher LD and the less non-associated variants, the higher the power of these method, except the data adaptive SUM test. When the direction was different, the power was significantly reduced for all methods. The methods that consider the direction yielded larger statistical power than those methods without considering the effect direction, except the strong LD condition. And the larger the sample size, the larger the power. The statistical performance of burden tests is affected by a variety of factors, including the sample size, effect direction of variants, non-associated variants, and LD. Therefore, when choosing the method and setting the collection unit and weight, the prior biological information of genetic variation should be integrated to improve study efficiency.