Association of domain-specific physical activity with albuminuria among prediabetes and diabetes: a large cross-sectional study.

BACKGROUND: Albuminuria, the presence of excess of protein in urine, is a well-known risk factor for early kidney damage among diabetic/prediabetic patients. There is a complex interaction between physical activity (PA) and albuminuria. However, the relationship of specific-domain PA and albuminuria remained obscure. METHODS: Albuminuria was defined as urinary albumin/creatinine ratio (ACR) > 30 mg/g. PA was self-reported by participants and classified into transportation-related PA (TPA), occupation-related PA (OPA), and leisure-time PA (LTPA). Weighted logistic regression was conducted to compute the odds ratios (ORs) and 95% confidence intervals (CIs). Restricted cubic spline (RCS) was used to evaluate the dose-response of PA domains with the risk of albuminuria. RESULTS: A total of 6739 diabetic/prediabetic patients (mean age: 56.52 ± 0.29 years) were enrolled in our study, including 3181 (47.20%) females and 3558 (52.80%) males. Of them, 1578 (23.42%) were identified with albuminuria, and 5161(76.58%) were without albuminuria. Diabetic/prediabetic patients who adhered the PA guidelines for total PA had a 22% decreased risk of albuminuria (OR = 0.78, 95%CI 0.64-0.95), and those met the PA guidelines for LTPA had a 28% decreased of albuminuria (OR = 0.72, 95%CI 0.57-0.92). However, OPA and TPA were both not associated with decreased risk of albuminuria. RCS showed linear relationship between the risk of albuminuria with LTPA. CONCLUSIONS: Meeting the PA guideline for LTPA, but not OPA and TPA, was inversely related to the risk of albuminuria among diabetic/prediabetic patients. Additionally, achieving more than 300 min/week of LTPA conferred the positive effects in reducing albuminuria among diabetic/prediabetic patients.

Composite dietary antioxidant index and sleep health: a new insight from cross-sectional study.

BACKGROUND: Low-quality sleep and obstructive sleep apnea (OSA) can result in series of chronic diseases. Healthy diet has been considered as an effective and simple strategy to optimize sleep quality. However, current evidence on the correlation of dietary composite antioxidant intake with sleep health remained obscure. AIM OF THE STUDY: To determine the relationship of composite dietary antioxidant index (CDAI) and sleep health. METHODS: Cross-sectional analyses were based on National Health and Nutrition Examination Survey (NHANES) 2005-2008. Dietary consumption was assessed by trained staff using 24-h diet recall method and CDAI was calculated based on previous validated approach that included six antioxidants. Sleep-related outcomes were self-reported by a set of questionnaires and classified into OSA, day sleepiness, and insufficient sleep. Weighted logistic regression was conducted to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Restricted cubic spline (RCS) regressions were also used to evaluate the dose-response of CDAI and three sleep-related outcomes. RESULTS: A total of 7274 subjects included (mean age: 46.97 years) were enrolled in our study, including 3658 were females (52.54%) and 3616 were males (47.46%). Of them, 70.6%, 29.51%, and 35.57% of the subjects reported that they had OSA, day sleepiness and insufficient sleep, respectively. Logistic regression showed the highest quartile of CDAI was inversely associated with the risk of OSA (OR: 0.69, 95%CI: 0.49-0.97), day sleepiness (OR: 0.64, 95%CI: 0.44-0.94) and insufficient sleep (OR: 0.68, 95%CI: 0.50-0.92) compared with the lowest quartile. RCS showed linear relationship of CDAI and insufficient sleep but non-linear relationship of CDAI with OSA and day sleepiness. CONCLUSIONS: Our results show that CDAI was non-linearly associated with lower risk of OSA and day sleepiness whereas a linear inverse association between CDAI and insufficient sleep was observed. These findings implicate that combined intake of antioxidants could be a promising and effective approach to optimize sleep quality for public.

Associations of starchy and non-starchy vegetables with risk of metabolic syndrome: evidence from the NHANES 1999-2018.

BACKGROUND: Higher dietary quality, including increased vegetable consumption, was associated with a reduced risk of metabolic syndrome (MetS). However, specific vegetable consumption in the development of MetS remains obscure. Our study aimed to investigate the correlation between starchy and non-starchy vegetables and MetS. METHODS: Secondary data analysis from the National Health and Nutrition Examination Survey (NHANES 1999-2018). MetS was defined by National Cholesterol Education Program-Adult treatment Panel III (NCEP ATPIII) and dietary consumption was assessed by trained staff using two 24-h diet recall methods. Weighted logistic regression analysis was carried out to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup analyses and restricted cubic spline (RCS) regression were performed to further investigate specific vegetable subtypes and MetS. RESULTS: This research enrolled 24,646 individuals (11,725 females and 12,921 males), with an average age of 45.84 ± 0.23 years. Approximately 15,828(64.22%) participants were defined to be with non-MetS and 8818(35.78%) were with MetS. Both total starchy vegetables and potatoes were associated with increased MetS risk, with the corresponding OR per standard deviation (SD) (95%CI, p-trend) being 1.06(1.02-1.11, p-trend = 0.028) and 1.08(1.04-1.13, p-trend = 0.011), respectively. However, an inverse correlation was found between dark-green vegetables and MetS, and the OR per SD (95%CI, p-trend) was 0.93(0.90-0.97, p-trend = 0.010). Subgroup analyses showed that the positive associations of starchy vegetables and potatoes on MetS risk were stronger in non-Hispanic White participants (p for interaction < 0.050). CONCLUSION: Total starchy vegetables and white potatoes were both associated with an increased risk of MetS, while consumption of dark-green vegetables was negatively associated with MetS risk. These findings might provide a promising and healthy dietary strategy for preventing MetS.

Association between dietary inflammatory index and low muscle mass in diabetes/prediabetes patients.

BACKGROUND: Growing evidence has increasingly validated that individuals with diabetes/prediabetes have a higher prevalence of low skeletal muscle mass and function compared to healthy individuals. The anti-inflammatory diet is considered a promising and modifiable approach to optimize skeletal muscle quality. However, current evidence on the relation of dietary inflammatory potential with low muscle mass among diabetic/prediabetic patients is limited. METHODS: Dietary consumption was determined by trained staff using the 24-hour diet recall method, and the Dietary Inflammatory Index (DII) was scored based on a previously validated approach that included 26 food parameters. Dual-energy X-ray absorptiometry was used to assess the mass of skeletal muscle and low muscle mass was defined based on the sarcopenia index. Logistic regression was conducted to calculate odds ratios (ORs) and 95 % confidence intervals (CIs). Restricted cubic spline (RCS) analysis was also performed to visually represent the relationship between DII and low muscle mass. Furthermore, sensitivity and subgroup analyses were conducted. RESULTS: In this study, a total of 4269 eligible participants were registered, comprising 1975 (46.26 %) females and 2294 (53.74 %) males. The mean age was 49.98 ± 0.31 years old, and the mean DII score was 1.53 ± 0.04. Among them, 934 (21.88 %) patients were defined as having low muscle mass, while 3335 (78.12 %) were without low muscle mass. The highest tertile (T3) of DII had an 61 % increased risk of low muscle mass (OR = 1.61, 95%CI: 1.19-2.17, p for trend = 0.004) compared to the lowest tertile. The RCS curve displayed a linear dose-response relationship between DII score and low muscle mass risk in patients with diabetes/prediabetes. Subgroup and sensitivity analyses provided robustness to our results. CONCLUSIONS: Our results indicated that a higher DII score was associated with an increased risk of low muscle mass among diabetes/prediabetes patients. These findings provided a nutritional strategy for diabetes/prediabetes patients to prevent skeletal muscle mass loss.

Identification of key genes and mechanisms of epicardial adipose tissue in patients with diabetes through bioinformatic analysis.

Background: In recent years, peri-organ fat has emerged as a diagnostic and therapeutic target in metabolic diseases, including diabetes mellitus. Here, we performed a comprehensive analysis of epicardial adipose tissue (EAT) transcriptome expression differences between diabetic and non-diabetic participants and explored the possible mechanisms using various bioinformatic tools. Methods: RNA-seq datasets GSE108971 and GSE179455 for EAT between diabetic and non-diabetic patients were obtained from the public functional genomics database Gene Expression Omnibus (GEO). The differentially expressed genes (DEGs) were identified using the R package DESeq2, then Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were analyzed. Next, a PPI (protein-protein interaction) network was constructed, and hub genes were mined using STRING and Cytoscape. Additionally, CIBERSORT was used to analyze the immune cell infiltration, and key transcription factors were predicted based on ChEA3. Results: By comparing EAT samples between diabetic and non-diabetic patients, a total of 238 DEGs were identified, including 161 upregulated genes and 77 downregulated genes. A total of 10 genes (IL-1ß, CD274, PDCD1, ITGAX, PRDM1, LAG3, TNFRSF18, CCL20, IL1RN, and SPP1) were selected as hub genes. GO and KEGG analysis showed that DEGs were mainly enriched in the inflammatory response and cytokine activity. Immune cell infiltration analysis indicated that macrophage M2 and T cells CD4 memory resting accounted for the largest proportion of these immune cells. CSRNP1, RELB, NFKB2, SNAI1, and FOSB were detected as potential transcription factors. Conclusion: Comprehensive bioinformatic analysis was used to compare the difference in EAT between diabetic and non-diabetic patients. Several hub genes, transcription factors, and immune cell infiltration were identified. Diabetic EAT is significantly different in the inflammatory response and cytokine activity. These findings may provide new targets for the diagnosis and treatment of diabetes, as well as reduce potential cardiovascular complications in diabetic patients through EAT modification.

Multivessel vs. Culprit Vessel-Only Percutaneous Coronary Intervention for ST-Segment Elevation Myocardial Infarction in Patients With Cardiogenic Shock: An Updated Systematic Review and Meta-Analysis.

Background: The optimal revascularization strategy in patients with ST-segment elevation myocardial infarction (STEMI) complicating by cardiogenic shock (CS) remains controversial. This study aims to evaluate the clinical outcomes of multivessel percutaneous coronary intervention (MV-PCI) compared to culprit vessel-only PCI (CO-PCI) for the treatment, only in patients with STEMI with CS. Methods: A comprehensive literature search was conducted. Studies assessed the efficacy outcomes of short (in-hospital or 30 days)/long-term mortality, cardiac death, myocardial reinfarction, repeat revascularization, and safety outcomes of stroke, bleeding, acute renal failure with MV-PCI vs. CO-PCI in patients with STEMI with CS were included. The publication bias and sensitivity analysis were also performed. Results: A total of 15 studies were included in this meta-analysis. There was no significant difference in short- and long-term mortality in patients treated with MV-PCI compared to CO-PCI group [odds ratio (OR) = 1.17; 95% confidence interval (CI), 0.92-1.48; OR = 0.86; 95% CI, 0.58-1.28]. Similarly, there were no significant differences in cardiac death (OR = 0.67; 95% CI, 0.44-1.00), myocardial reinfarction (OR = 1.24; 95% CI, 0.77-2.00), repeat revascularization (OR = 0.75; 95% CI, 0.40-1.42), bleeding (OR = 1.53; 95% CI, 0.53-4.43), or stroke (OR = 1.42; 95% CI, 0.90-2.23) between the two groups. There was a higher risk in acute renal failure (OR = 1.33; 95% CI, 1.04-1.69) in patients treated with MV-PCI when compared with CO-PCI. Conclusion: This meta-analysis suggests that there may be no significant benefit for patients with STEMI complicating CS treated with MV-PCI compared with CO-PCI, and patients are at increased risk of developing acute renal failure after MV-PCI intervention.

[Identification, characterization and utilization of simple sequence repeat markers derived from Salvia miltiorrhiza expressed sequence tags].

Despite Salvia miltiorrhiza being one of the most important medicine plants in China, there is a limited availability of genomic resources, especially of the expressed sequence tag-based markers. In this study, we selected and characterized functional markers in S. miltiorrhiza, which consisted of 4,192 non-redundant expressed sequence tags (ESTs) from 10,288 identified S. miltiorrhiza ESTs in dbEST data bank. Among them, 159 simple sequence repeats (SSR) were detected, which amounted to 3.79% of the non-redundant starting sequence population. This incidence was equivalent to one EST-SSR in every 12.74 kb of S. miltiorrhiza ESTs. Among the different motifs ranging from 1 bp to 6 bp, di-nucleotide repeat motif was the most abundant (77, 48.43%), followed by tri-nucleotide (41, 25.79%), hexa-nucleotide (23, 14.47%), penta-nucleotide (12, 7.55%) and tetra-nucleotide (6, 3.77%). In 47 identified motif types, the detected frequency above 5% were GA/CT (16.35%), AG/TC (15.09%), TCA/AGT (10.69%), AT/TA (6.29%), GAAAAG/CAAAAC (6.29%) and TA/AT (5.03%). Based on flank sequence of detected SSR, a total of 83 EST-SSR primer pairs were designed and tested for the amplification efficiency, polymorphism and transferability in thirteen S. mihiorrhiza samples and other ten species from the genus Salvia. The results showed that 72 primer pairs were successfully amplified in S. miltiorrhiza samples to yield and 279 loci with an average of 3.88 loci per primer pair. The cross-transferability of S. miltiorrhiza EST-SSR markers to other ten Salvia plants was very high, ranging from 60% to 100% with an average of 85%. Further analysis of the genetic similarity based on the polymorphic bands showed the EST-SSR could detect the genetic diversity on different levels among the whole test samples and distinguish the S. miltiorrhiza from other Salvia plants effectively. It is expected that the potential markers described here would add to the repertoire of DNA markers needed for genetic analysis, linkage mapping and comparative genomics studies in S. miltiorrhiza and related Salvia genus plants.

[Ecological significance of arbuscular mycorrhiza biotechnology in modern agricultural system].

Mycorrhiza plays a key role in nutrient cycling in ecosystem, and protects host plant against environmental stress. Under natural condition, plant's mycorrhizal structure is a normal phenomenon, and arbuscular mycorrhiza (AM) association is the commonest mycorrhizal type. If well mycorrhizal structure can be formed during plant root system developing process, the quantity and quality of plant production will be improved in large. Because of its effects on plant growth and health, it is accepted that AM symbiosis can reduce chemical fertilizer and pesticide inputs. Consequently, this will lead to a reduction in harmful chemical substance impact on environment. The key effects of AM symbiosis can be summarized as follows: (1) improving rooting and plant establishment; (2) improving uptake of low mobile ions; (3) improving nutrient cycling; (4) enhancing plant tolerance to (biotic and abiotic) stress; (5) improving quality of soil structure; and (6) enhancing plant community diversity. In this paper, the ecological characteristic of arbuscular mycorrhiza fungi (AMF), effects of AM on host plant, and ecologic significance of AM biotechnology in agricultural system were reviewed.

[Effect of methanol eluates from Ginkgo biloba root on growth and development of arbuscular mycorrhizal fungi cultured in vitro].

The effect of methanol eluates from Ginkgo biloba root on growth and development of arbuscular mycorrhizal fungi was studied under cultured in vitro. The study indicated that the methanol eluates from Ginkgo biloba root could significantly stimulate the spore germination and hyphal growth of arbuscular mycorrhizal fungi (Glomus mosseae, Gigaspora margarita), and the 80% methanol eluates had the most significant effect. There were rich flavonoids in the methanol eluates, and the highest flavonoids content was in the 80% methanol eluates. The mathematical analysis showed that there was a significantly positive correlation between the flavonoids content in the methanol eluates and the growth and development of arbuscular mycorrhizal fungi cultured in vitro.