CVD phenotyping in oncologic disorders: cardio-miRNAs as a potential target to improve individual outcomes in revers cardio-oncology.

With the increase of aging population and prevalence of obesity, the incidence of cardiovascular disease (CVD) and cancer has also presented an increasing tendency. These two different diseases, which share some common risk factors. Relevant studies in the field of reversing Cardio-Oncology have shown that the phenotype of CVD has a significant adverse effect on tumor prognosis, which is mainly manifested by a positive correlation between CVD and malignant progression of concomitant tumors. This distal crosstalk and the link between different diseases makes us aware of the importance of diagnosis, prediction, management and personalized treatment of systemic diseases. The circulatory system bridges the interaction between CVD and cancer, which suggests that we need to fully consider the systemic and holistic characteristics of these two diseases in the process of clinical treatment. The circulating exosome-miRNAs has been intrinsically associated with CVD -related regulation, which has become one of the focuses on clinical and basic research (as biomarker). The changes in the expression profiles of cardiovascular disease-associated miRNAs (Cardio-miRNAs) may adversely affect concomitant tumors. In this article, we sorted and screened CVD and tumor-related miRNA data based on literature, then summarized their commonalities and characteristics (several important pathways), and further discussed the conclusions of Cardio-Oncology related experimental studies. We take a holistic approach to considering CVD as a risk factor for tumor malignancy, which provides an in-depth analysis of the various regulatory mechanisms or pathways involved in the dual attribute miRNAs (Cardio-/Onco-miRNAs). These mechanisms will be key to revealing the systemic effects of CVD on tumors and highlight the holistic nature of different diseases. Therefore, the Cardio-miRNAs should be given great attention from researchers in the field of CVD and tumors, which might become new targets for tumor treatment. Meanwhile, based on the principles of precision medicine (such as the predictive preventive personalized medicine, 3PM) and reverse Cardio-oncology to better improve individual outcomes, we should consider developing personalized medicine and systemic therapy for cancer from the perspective of protecting cardiovascular function.

Pathogenesis of cardiovascular diseases: effects of mitochondrial CF6 on endothelial cell function.

Cardiovascular disease (CVD) stands as a predominant global cause of morbidity and mortality, necessitating effective and cost-efficient therapies for cardiovascular risk reduction. Mitochondrial coupling factor 6 (CF6), identified as a novel proatherogenic peptide, emerges as a significant risk factor in endothelial dysfunction development, correlating with CVD severity. CF6 expression can be heightened by CVD risk factors like mechanical force, hypoxia, or high glucose stimuli through the NF-κB pathway. Many studies have explored the CF6-CVD relationship, revealing elevated plasma CF6 levels in essential hypertension, atherosclerotic cardiovascular disease (ASCVD), stroke, and preeclampsia patients. CF6 acts as a vasoactive and proatherogenic peptide in CVD, inducing intracellular acidosis in vascular endothelial cells, inhibiting nitric oxide (NO) and prostacyclin generation, increasing blood pressure, and producing proatherogenic molecules, significantly contributing to CVD development. CF6 induces an imbalance in endothelium-dependent factors, including NO, prostacyclin, and asymmetric dimethylarginine (ADMA), promoting vasoconstriction, vascular remodeling, thrombosis, and insulin resistance, possibly via C-src Ca2+ and PRMT-1/DDAH-2-ADMA-NO pathways. This review offers a comprehensive exploration of CF6 in the context of CVD, providing mechanistic insights into its role in processes impacting CVD, with a focus on CF6 functions, intracellular signaling, and regulatory mechanisms in vascular endothelial cells.

Global and Regional Estimate of HIV-Associated Stroke Burden: A Meta-Analysis and Population Attributable Modeling Study.

BACKGROUND: This study aimed to determine the correlation between human-immunodeficiency-virus (HIV) infection and stroke, as well as to estimate the global, regional, and national burden of HIV-associated stroke. METHODS: A registered meta-analysis was performed by searching PubMed, Embase, and Web of Science for relevant literature up to October 31, 2022. The pooled relative risk of stroke in HIV-infected people was calculated using a random-effects model. HIV prevalence and disability-adjusted life years (DALYs) datasets were obtained from the Joint United Nations Program on HIV and AIDS, and the Global Health Data Exchange, respectively. The population attributable fraction was estimated and delivered to calculate the HIV-associated DALYs of stroke from 1990 to 2019, at the global, regional, and national levels. Pearson correlation analysis were conducted to assess the correlation between the age-standardized rate or estimated annual percentage changes and the sociodemographic index. RESULTS: Out of 10 080 identified studies, 11 were included in this meta-analysis. Compared with individuals without HIV-infection, the pooled relative risk of stroke in HIV-infected individuals was 1.40 (95% CI, 1.18-1.65). From 1990 to 2019, the global population attributable fraction of HIV-associated stroke increased almost 3-fold, while the HIV-associated DALYs increased from 18 595 (95% CI, 7485-31 196) in 1990 to 60 684 (95% CI, 24 281-101 894) in 2019. Meanwhile, HIV-associated DALYs varied by region, with Eastern and Southern Africa having the highest value of 126 160 in 2019. Moreover, countries with middle social development index were shouldering the highest increase trend of the HIV-associated DALYs age-standardized rates. CONCLUSIONS: HIV-infected individuals face a significantly higher risk of stroke, and the global burden of HIV-associated stroke has increased over the past 3 decades, showing regional variations. Eastern and Southern Africa bear the highest burden, while Eastern Europe and Central Asia have seen significant growth. Health care providers, researchers, and decision-makers should give increased attention to stroke prevention and management in HIV-endemic areas. REGISTRATION: URL: https://www. CLINICALTRIALS: gov; Unique identifier: CRD42022367450.

Association between the oxidative stress gene polymorphism and chronic obstructive pulmonary disease risk: a meta-analysis.

BACKGROUND: The association between the oxidative stress gene polymorphism and chronic obstructive pulmonary disease (COPD) risk has been extensively studied but the results have been controversial. This study aimed to investigate the overall association between the oxidative stress gene including glutathione S-transferase (GST), epoxide hydrolase exon (EPHX), superoxide dismutase (SOD), catalase (CAT), cytochrome P450 system (CYP) and heme oxygenase (HO-1) polymorphism and the risk of COPD. METHODS: We searched the PubMed and EMBASE database to identify studies that investigated the association between the oxidative stress gene polymorphism and risk of COPD. The relevant data were extracted and statistical analyses were performed using the Revman 5.4 and STATA 12 software. Dominant genetic model, recessive model, co-dominant model, heterozygote model, and allele model were analyzed. Venice criteria and publication bias were conducted to access the credibility and reliability. RESULTS: In total, 63 publications including 14,733 patients and 50,570 controls were included in the meta-analysis.15 genetic variants of 6 genes were analyzed, and 7 SNPs in GSTP1, CAT, CYP, SOD were first analyses until now. In our study, EPHX T113C C allele, GSTM1 null, GSTT1 null, GSTP1 A313G G and C341T T allele, CYP1A1 MspI C allele, SOD3 A213G G allele and L type in Ho-1 showed increased COPD risk, especially in Asians. T allele in CAT C262T and C allele in SOD2 Val 9 Ala were associated with decreased COPD risk. To avoid high heterogeneity and publications bias, subgroups analysis was performed in accord with HWE and ethnicity. Publication bias was assessed by Begg's funnel plots and Egger's test, and no publication bias were found for recessive models. 4 variants were identified with strong levels of epidemiological evidence of associations with the COPD risk. CONCLUSIONS: Our results confirm that oxidative stress gene polymorphism was associated with COPD risk. These finding can improve human understanding of this disease gene molecular level and enable early intervention and prevention of COPD. Well-designed studies with large sample sizes are essential to clarify the association of these significant variants with the susceptibility to COPD.

Biodiversity exploration in autumn using environmental DNA in the South China sea.

The South China Sea (SCS) is an important part of the Indo-Pacific convergence zone, with high biodiversity and abundant marine resources. Traditional methods are primarily used to monitor biodiversity. However, a few studies have used environmental DNA (eDNA) metabarcoding to research the assemblage structure of the SCS. This study used eDNA metabarcoding to survey the SCS assemblage and its relationship with environmental factors over a month-long time-series (August 30th to September 30th, 2020) of seawater samples from the central part of the SCS (9°-20°86' N, 113°-118°47' E). 32 stations were divided into six groups (A, B, C, D, E, F) according to longitude. We collected water samples, extracted eDNA, and amplified 18S rRNA gene V4 region (18S V4), 18S rRNA gene V9 region (18S V9), and 12S rRNA gene (12S). Krona diagrams were used to show species composition. We identified 192 phytoplankton, 104 invertebrate, and 61 fish species from 18S V4, 18S V9, and 12S, respectively. Generally, the three assemblage structures exhibited an increase in species diversity with increasing longitude. Group E had the highest fish diversity. Groups F and C had the highest phytoplankton and invertebrate diversity, respectively. Canonical correspondence analysis showed that four factors (chlorophyll a, depth, salinity, and temperature) were correlated with assemblage structure. Chlorophyll a was the main environmental factor that affected fish, phytoplankton, and invertebrate assemblage structures; salinity was strongly correlated with fish and invertebrate assemblage structures; temperature was a key factor that impacted fish and invertebrate assemblage structures; and depth was strongly correlated with invertebrate assemblage structure. Our results revealed that eDNA metabarcoding is a powerful tool for improving detection rate and using multiple markers is an effective approach for monitoring biodiversity. This study provided information that can be used to enhance biodiversity protection efforts in the SCS.

[Resveratrol inhibits hypoxia-induced oxidative stress and proliferation in pulmonary artery smooth muscle cells through the HIF-1α/NOX4/ROS signaling pathway].

The purpose of the present study was to determine the effects of resveratrol on hypoxia-induced oxidative stress and proliferation in pulmonary artery smooth muscle cells (PASMCs) and the underlying mechanism. Primary rat PASMCs were isolated and cultured in vitro and pretreated with different concentrations of resveratrol (10, 20, and 40 µmol/L) or the NADPH oxidase (NOX) inhibitor VAS2870 (10 µmol/L) for 0.5 h. The cells were then cultured under normoxia (21% O2, 5% CO2) or hypoxia (2% O2, 5% CO2) for 24 h. The proliferation of cells was measured using the CCK-8 method and the expression of proliferating cell nuclear antigen (PCNA). The production of reactive oxygen species (ROS) was detected by DCFH-DA. The expression of rat NOX1, NOX4 and hypoxia inducible factor 1α (HIF-1α) was detected by real-time RT-PCR and Western blotting assays. The related signaling pathways were determined using the small interference RNAs (siRNAs) specifically targeting Hif-1α and Nox4. The results showed that resveratrol and VAS2870 significantly inhibited hypoxia-induced cell proliferation and ROS production in rat PASMCs. Resveratrol also effectively prevented hypoxia-induced increase of HIF-1α protein levels and NOX4 up-regulation, but had little effect on NOX1. After the knocking down of Hif-1α or Nox4 with siRNAs, hypoxia-induced cell proliferation and ROS accumulation were significantly decreased, and both were further inhibited by resveratrol treatment. These results suggest that resveratrol inhibits hypoxia-induced oxidative stress and cell proliferation in rat PASMCs possibly through blocking the HIF-1α/NOX4/ROS pathway.

In situ phytoplankton photosynthetic characteristics and their controlling factors in the eastern Indian Ocean.

Photosynthesis is the most important bioenergy conversion process on Earth. Capturing instantaneous changes in in situ photosynthesis in open ocean ecosystems remains a major challenge. In this study, fast repetition rate fluorometry (FRRF), which can obtain nondestructive, real-time and in situ estimates of photosynthetic parameters, was used for the first time to continuously observe the spatial variation in in situ photosynthetic parameters in the eastern Indian Ocean (EIO). We further formulated new insights regarding abiotic and biotic factors of potential importance in determining photosynthetic performance. First, we found that the distributions of micro/nano- and picophytoplankton were opposite under the control of nutrient concentrations. Micro/nanophytoplankton had higher cell abundances in the nearshore and upwelling regions, while picophytoplankton had higher abundances in the open ocean, and Prochlorococcus was the dominant group. Second, based on the FRRF technology, we obtained the high-precision and high-density vertical profile map of photosynthetic parameters in the euphotic layer. It was observed that values of the maximum photochemical efficiency (Fv/Fm; 0.14-0.55, unitless) and the functional absorption cross-section of PSII (σPSII; 1.71-4.90 nm2 RCII-1) increased with increasing depth, while high values of the photosynthetic electron transfer rates (ETRRCII; 0.0019-17.0292 mol e- mol RCII-1 s-1) and the nonphotochemical quenching (NPQNSV; 0.35-7.26, unitless) occurred in the shallow 50 m layer, and the values decreased as the depth increased. Finally, we discussed limiting factors that regulated the distribution of photosynthetic parameters and concluded that optical properties varied significantly with changes in the ocean physico-chemical parameters and taxonomic composition of phytoplankton assemblages in the EIO. Picophytoplankton (especially cyanobacteria), rather than the micro/nanophytoplankton community, was the dominant factor influencing photosynthesis. Among abiotic factors, photosynthetically active radiation (PAR) was the proximal limiting factor affecting photosynthetic efficiency, followed by temperature and dissolved inorganic nitrogen (DIN). Consequently, phytoplankton photosynthetic parameters exhibited great variability, allowing rapid responses to environmental condition changes. In this study, we established the basis for detecting future changes in primary production in this oligotrophic area.

Quantifying the biogenic silica production of picoplankton in the oligotrophic ocean: A case study in the South China Sea.

Silicon (Si) utilization is not limited to eukaryotes. Recent research has suggested that the pattern of a large contribution of picocyanobacteria to biogenic silica (bSi) stocks might be widespread in the oligotrophic open ocean. We are the first to measure the size-fractionated bSi standing stocks and production rates in the oligotrophic South China Sea (SCS), which has obvious characteristics of oligotrophic waters. The 150 m integrated bSi standing stocks in the pico-sized fractions averaged 23 % of the total; the contribution of picoplankton to the total bSi production rate was 44 %. Interestingly, our estimated contributions of Synechococcus alone to the <2 µm bSi standing stock and < 2 µm bSi production rates averaged 14 % and 66 %, respectively, indicating that the significant and persistent contribution of bSi was strongly associated with marine picocyanobacteria. Furthermore, the dynamic changes in nutrient concentrations, especially in DIN and DIP, also potentially affected the variability in picoplankton bSi stocks and production rates, while the effects of temperature and salinity were not obvious. In this study, we have provided new information on measurable bSi in the picoplankton size fraction and its production rate in the SCS. We have demonstrated that picoplankton contributes a measurable, and at times significant, proportion to both the total bSi standing stock and its production rate in the SCS. A high silicon content within picocyanobacteria has important implications for understanding both their ecology and their contribution to biogeochemistry.

Unveiling the evolution of phytoplankton communities: Decades-long insights into the southern Yellow Sea, China (1959-2023).

We obtained historical and observational data on phytoplankton communities from 1959 to 2023 to explore the responses of the phytoplankton community structure to long-term environmental changes in the southern Yellow Sea (SYS), China. The results revealed a decrease in the proportions of diatom cell abundance within the phytoplankton community by 8 %, accompanied by a corresponding increase in that of dinoflagellates. Dominant phytoplankton species were mainly chain-forming diatoms before 2000, and large dinoflagellate species from the genera Tripos and Noctiluca increased their dominance after 2000. Warm-water phytoplankton species have increased in dominance over the study period. Correlation analysis revealed that the ocean warming and alterations in nutrient structure (N/P and Si/N ratios) were mostly responsible for the long-term evolution trend, and these changes may result in an increase in dinoflagellate harmful algal blooms, reduced efficiency of the biological carbon pump, and heightened hypoxia in the future, which should draw our attention.

Anoikis and SPP1 in idiopathic pulmonary fibrosis: integrating bioinformatics, cell, and animal studies to explore prognostic biomarkers and PI3K/AKT signaling regulation.

OBJECTIVE: This study aims to explore the relevance of anoikis in idiopathic pulmonary fibrosis (IPF) and identify associated biomarkers and signaling pathways. METHOD: Unsupervised consensus cluster analysis was employed to categorize IPF patients into subtypes. We utilized Weighted Gene Co-Expression Network Analysis (WGCNA) and Protein-Protein Interaction network construction to identify anoikis-related modules and key genes. A prognostic signature was developed using Lasso and multivariate Cox regression analysis. Single-cell sequencing assessed hub gene expression in various cell types, and both cell and animal experiments confirmed IPF-related pathways. RESULTS: We identified two distinct anoikis-associated subtypes with differing prognoses. WGCNA revealed essential hub genes, with SPP1 being prominent in the anoikis-related signature. The anoikis-related signature is effective in determining the prognosis of patients with IPF. Single-cell sequencing highlighted significant differences in SPP1 expression, notably elevated in fibroblasts derived from IPF patients. In vivo and in vitro experiments demonstrated that SPP1 enhances fibrosis in mouse lung fibroblasts by regulating p27 through the PI3K/Akt pathway. CONCLUSION: Our research demonstrates a robust prognostic signature associated with anoikis and highlights SPP1 as a pivotal regulator of the PI3K/AKT signaling pathway in pulmonary fibrosis.

Prevalence of osteoporosis among patients after stem cell transplantation: a systematic review and meta-analysis.

The prevalence of osteoporosis in post stem cell transplantation (SCT) is poorly defined. We performed a systematic review and meta-analysis to determine the prevalence of osteoporosis in patients with hematologic diseases who underwent SCT. PubMed, EMBASE, and Web of Science were searched (from inception to 30th April 2023) using Medical Subject Headlines to find studies that assessed the prevalence of osteoporosis among post SCT. Thirteen articles meeting the inclusion criteria were included in the analysis. The pooled prevalence rates of osteoporosis, osteopenia, and decreased bone mineral density (BMD) were determined to be 14.2% (95% CI 9.7-18.8), 36.0% (95% CI 23.8-48.2), and 47.8% (95% CI 36.6-58.9), respectively. Substantial heterogeneity was observed among the included studies (I² values ranged from 81% to 99%). Subgroup analyses revealed variations in prevalence based on gender, follow-up duration, age, region, sample size, and study quality. These findings suggest a high prevalence of osteoporosis in post-SCT patients. Given the negative impact of osteoporosis on prognosis and recipient survival, clinicians should prioritize preventive measures, early diagnosis, and effective treatments to minimize its impact.

Exploring ABHD5 as a Lipid-Related Biomarker in Idiopathic Pulmonary Fibrosis: Integrating Machine Learning, Bioinformatics, and In Vitro Experiments.

Recent studies increasingly suggest a connection between lipids and idiopathic pulmonary fibrosis (IPF). This study was aimed at exploring potential lipid-related biomarkers for IPF and uncovering the mechanisms underlying pulmonary fibrosis. IPF-related datasets were retrieved from the GEO database, and the ComBat algorithm was used to merge multiple datasets and eliminate batch effects. Weighted gene co-expression network analysis (WGCNA) was utilized to identify modules and genes associated with IPF. Potential hub genes were determined by intersecting these genes with lipid-related genes from the GeneCards database. A machine learning-based integrative approach was developed to construct diagnostic and prognostic signatures, which were validated across several datasets. Additionally, single-cell sequencing data was used to validate the expression differences of core IPF-related genes across various cell types. The effect of ABHD5 on fibroblasts was assessed using the cell counting kit-8, 5-ethynyl-2'-deoxyuridine, and cell scratch assays. The expression levels of fibrotic factors were measured using real-time quantitative polymerase chain reaction and western blot analysis. WGCNA identified a red module potentially related to IPF, and the intersection with lipid-related genes yielded 51 hub genes. These genes were used to build diagnostic and prognostic models that demonstrated robust validation capabilities across multiple datasets. Single-cell sequencing analysis revealed low expression of ABHD5 in the lung tissues of IPF patients, with a higher proportion of fibroblasts exhibiting low ABHD5 expression. Cell experiments showed that under the influence of TGF-ß1, knockdown of ABHD5 slightly promoted fibroblast proliferation. Additionally, fibroblasts with low ABHD5 expression exhibited enhanced migratory capabilities and secreted more fibrotic factors. Lipid-related diagnostic and prognostic models for IPF were developed, and ABHD5 may serve as a potential biomarker. Low ABHD5 expression could potentially accelerate the progression of pulmonary fibrosis.

The -159C/T polymorphism in the CD14 gene and tuberculosis risk: a meta-analysis.

BACKGROUND: The -159C/T polymorphism in the CD14 gene has been implicated in susceptibility to tuberculosis, but the results were inconclusive. The present meta-analysis aimed to perform a comprehensive assessment of the literature on the possible association between the -159C/T polymorphism and tuberculosis risk. METHODS: We searched in Pubmed and Embase for studies evaluating the association between the -159C/T gene polymorphism and tuberculosis risk. Data were extracted and statistical analysis was performed using Revman 5.1 and STATA 12.0 software. RESULTS: A total of seven case-control studies involving 3253 subjects (1,574 tuberculosis cases and 1,679 controls) were included. Combined analysis revealed an obvious association between this polymorphism and tuberculosis risk (odds ratio=1.66 and 95% confidence interval: 1.23-2.25, P<0.05 for TT vs. TC+ CC). Sub-group analysis by ethnicity suggested that the risk of tuberculosis associated with the -159C/T polymorphism was significantly elevated among Asians (odds ratio=1.87 and 95% confidence interval: 1.58-2.21, P<0.05 for TT vs. TC+ CC). CONCLUSION: This meta-analysis suggests that the -159C/T polymorphism in the CD14 gene contributes to tuberculosis susceptibility. To further investigate gene-gene and gene-environment interactions between this polymorphism and tuberculosis risk, more studies are needed.

Increased serum ox-LDL levels correlated with lung function, inflammation, and oxidative stress in COPD.

Chronic obstructive pulmonary disease (COPD) is associated with abnormal inflammation and high oxidative stress. Studies suggest that oxidized low density lipoprotein (ox-LDL) is involved in diseases associated with oxidative stress and inflammation. However, no data on the possible relationship between COPD and ox-LDL are available. This study compared serum levels of ox-LDL in 48 COPD patients and 32 health controls and correlated them with lung function, systematic inflammation, and oxidative stress. Serum levels of ox-LDL, C-reactive protein (CRP), and oxidative stress (measured by reactive oxygen species, ROS) were analyzed using commercial kits. Mean levels of serum ox-LDL were significantly higher in COPD patients than in controls (18.62 ± 7.56 versus 12.57 ± 5.90 mU/L, P < 0.05). Serum levels of CRP and ROS were also significantly higher in COPD patients. Serum levels of ox-LDL in COPD patients correlated inversely with FEV1% predicted, an index of lung function (r = -0.347, P = 0.016), while they correlated positively with CRP and ROS levels. These results suggest that serum levels of ox-LDL are increased in COPD patients and that these levels are associated with lung function, inflammation, and oxidative stress in COPD. Future studies are needed to determine whether and how ox-LDL plays a role in COPD.

The -173 G/C polymorphism of the MIF gene and inflammatory bowel disease risk: a meta-analysis.

The -173 G/C polymorphism in the macrophage migration inhibitory factor (MIF) gene has been implicated in susceptibility to inflammatory bowel disease (IBD), but the results are inconclusive. The present meta-analysis aimed to investigate the overall association between the -173 G/C polymorphism and IBD risk. We searched in Pubmed, and Embase for studies evaluating the association between the -173G/C gene polymorphism and IBD risk. Data were extracted and statistical analysis was performed using Revman 5.1 and STATA 12.0 software. A total of seven publications involving 4729 subjects (2282 IBD cases and 2447 controls) were included in this meta-analysis. Combined analysis revealed a clear association between this polymorphism and IBD susceptibility (OR = 1.48, 95% CI: 1.10-2.00, p = 0.009 for CC vs. CG + GG). Subgroup analysis by ethnicity showed that the IBD risk associated with the -173G/C gene polymorphism was significantly elevated among Asians (OR = 1.79, 95% CI: 1.08-2.96, p = 0.02), but not among Caucasians. Subgroup analysis by disease suggested that the -173G/C gene polymorphism is a risk factor for ulcerative colitis (OR = 1.62, 95% CI: 1.10-2.37, p = 0.01), but that it was not associated with Crohn's disease. This meta-analysis suggests that the -173 G/C polymorphism in the macrophage MIF gene contributes to IBD susceptibility, specifically in Asian populations. Further studies are needed to validate these findings.

Water column stratification governs picophytoplankton community structure in the oligotrophic eastern Indian ocean.

Under the background of global warming, the area extent of the oligotrophic tropical oceans has growing due to increased water-column stratification over the past decades. Picophytoplankton is usually the most dominant phytoplankton group in oligotrophic tropical oceans and substantially contribute to carbon biomass and primary production three. Understanding how vertical stratification governs the community structure of picophytoplankton communities in oligotrophic tropical oceans is important for comprehensively understanding the plankton ecology and biogeochemical cycle in these areas. In this study, the distribution of the picophytoplankton communities in the eastern Indian Ocean (EIO) was investigated during a period of thermal stratification in the spring of 2021. Prochlorococcus contributed most (54.9%) to picophytoplankton carbon biomass, followed by picoeukaryotes (38.5%) and Synechococcus (6.6%). Vertically, the three picophytoplankton groups showed quite different distribution pattern: the abundance of Synechococcus was highest in the surface layer, while Prochlorococcus and picoeukaryotes were usually located between 50 m and 100 m. The relationship between the abundance of picophytoplankton and environmental factors was analyzed, and the results revealed that picophytoplankton distribution was strongly correlated with the degree of vertical stratification of the water column. The density of Synechococcus was higher in strongly stratified waters, while Prochlorococcus was more abundant in regions of weaker stratification. This is mainly attributed to variation of physicochemical parameters such as nutrient structures and temperature resulted from water column stratification. Understanding the distribution patterns of these organisms and their relationship with stratification in the oligotrophic EIO is essential for comprehensive understanding on oligotrophic tropical ecosystem with increasing stratification in future.

Roles of a CCR4-NOT complex component GmNOT4-1 in regulating soybean nodulation.

Legume-rhizobial symbiotic nitrogen fixation is the most efficient nitrogen assimilation system in the ecosystem. In the special interaction between organ-root nodules, legumes supply rhizobial carbohydrates for their proliferation, while rhizobials provide host plants with absorbable nitrogen. Nodule initiation and formation require a complex molecular dialogue between legumes and rhizobia, which involves the accurate regulation of a series of legume genes. The CCR4-NOT complex is a conserved multi-subunit complex with functions regulating gene expression in many cellular processes. However, the functions of the CCR4-NOT complex in rhizobia-host interactions remain unclear. In this study, we identified seven members of the NOT4 family in soybean and further classified them into three subgroups. Bioinformatic analysis showed that NOT4s shared relatively conserved motifs and gene structures in each subgroup, while there were significant differences between NOT4s in the different subgroups. Expression profile analysis indicated that NOT4s may be involved in nodulation in soybean, as most of them were induced by Rhizobium infection and highly expressed in nodules. We further selected GmNOT4-1 to clarify the biological function of these genes in soybean nodulation. Interestingly, we found that either GmNOT4-1 overexpression or down-regulation of GmNOT4-1 by RNAi or CRISPR/Cas9 gene editing would suppress the number of nodules in soybean. Intriguingly, alterations in the expression of GmNOT4-1 repressed the expression of genes in the Nod factor signaling pathway. This research provides new insight into the function of the CCR4-NOT family in legumes and reveals GmNOT4-1 to be a potent gene for regulating symbiotic nodulation.

Concentrations of transparent exopolymer particles (TEPs) and their role in the carbon export in the South China Sea and western tropical North Pacific.

The role of TEPs in the carbon cycle remains inadequately understood in oligotrophic tropical oceans. This study investigates TEP concentrations, distributions, sinking behavior and fluxes in the oligotrophic South China Sea (SCS) and western tropical North Pacific (WTNP). The results suggested that TEPs levels were relatively low [< 60 µg Xeq. L-1 (µg xanthan gum equivalent per liter)] in both regions, and they were higher in the epipelagic layer than in deeper layers. TEP concentrations correlated significantly positively with Chl a and picophytoplankton biomass, and TEP-associated carbon contributed significantly to particulate organic carbon (POC) pool in the SCS and WTNP. The sinking flux of TEPs constituted a mean of 61% of the total POC flux in the SCS and 46% in the WTNP, highlighting their important role in carbon export in these areas. Generally, this study should provide good insight into the role TEPs play in the carbon cycle in oligotrophic tropical oceans.

The selection of indicators from initial blood routine test results to improve the accuracy of early prediction of COVID-19 severity.

The global pandemic of COVID-19 poses a huge threat to the health and lives of people all over the world, and brings unprecedented pressure to the medical system. We need to establish a practical method to improve the efficiency of treatment and optimize the allocation of medical resources. Due to the influx of a large number of patients into the hospital and the running of medical resources, blood routine test became the only possible check while COVID-19 patients first go to a fever clinic in a community hospital. This study aims to establish an efficient method to identify key indicators from initial blood routine test results for COVID-19 severity prediction. We determined that age is a key indicator for severity predicting of COVID-19, with an accuracy of 0.77 and an AUC of 0.92. In order to improve the accuracy of prediction, we proposed a Multi Criteria Decision Making (MCDM) algorithm, which combines the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Naïve Bayes (NB) classifier, to further select effective indicators from patients' initial blood test results. The MCDM algorithm selected 3 dominant feature subsets: {Age, WBC, LYMC, NEUT} with a selection rate of 44%, {Age, NEUT, LYMC} with a selection rate of 38%, and {Age, WBC, LYMC} with a selection rate of 9%. Using these feature subsets, the optimized prediction model could achieve an accuracy of 0.82 and an AUC of 0.93. These results indicated that Age, WBC, LYMC, NEUT were the key factors for COVID-19 severity prediction. Using age and the indicators selected by the MCDM algorithm from initial blood routine test results can effectively predict the severity of COVID-19. Our research could not only help medical workers identify patients with severe COVID-19 at an early stage, but also help doctors understand the pathogenesis of COVID-19 through key indicators.

Identification of hub genes and key pathways in the emphysema phenotype of COPD.

Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition associated with high morbidity and mortality. This study aimed to use weighted gene co-expression network analysis (WGCNA) to explore the molecular pathogenesis of the emphysema phenotype of COPD. After obtaining lung mRNA expression profiles from ten patients with the emphysema phenotype of COPD and eight controls, emphysema-associated gene modules were identified with WGCNA. Among 13 distinct modules, the green-yellow and brown modules showed the strongest correlations with emphysema severity and lung function and were thus selected as hub modules. On gene ontology analysis, these two modules were mainly enriched in immune response, B cell receptor (BCR) signaling pathway, extracellular matrix (ECM) organization, and collagen fibril organization. Pathway analysis primarily showed enrichment in BCR signaling pathways, ECM receptor interaction, and NF-κB and TGF-ß signaling pathways for the two hub modules. Several genes, including FCRLA, MS4A1, CD19, FKBP10, C1S and HTRA1, among others, were identified as hub genes. Our results shed light on the potential genetic mechanisms underlying the pathogenesis of the emphysema phenotype of COPD. However, further research will be needed to confirm the involvement of the identified genes and to determine their therapeutic relevance.