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Abstract Arbuscular mycorrhizal fungi (AMF) typically exhibit reduced diversity in nutrient-rich soils. However, whether the influence of host plants on AMF within the rhizosphere is direct or indirect through the alteration of soil nutrient levels has yet to be determined. This study explored the diversity and colonization of AMF in the National Tropical Fruit Tree Genebank, where chemical fertilizers are used to preserve minor tropical fruit germplasms. We aimed to understand the direct and indirect effects of host plants on AMF community dynamics, sporulation, and colonization. By analyzing fine roots and rhizosphere soil from 12 tropical fruit trees, we assessed mycorrhizal colonization indices, soil nutrients, AMF spore density, and community structure. Despite their low colonization density and arbuscular abundance, all the tree roots harbored AMF, with spore densities ranging from 24.00 to 204.80 spores/100 g of dry soil. High-throughput sequencing identified 207 AMF virtual taxa (VTs) from 60 soil samples, with dominant taxa, including early-evolved Paraglomus fungi and ruderal AMF, being minimally affected by soil nutrient levels. Interestingly, there was no correlation between α diversity and spore density. Structural equation modeling (SEM) indicated that host plant evolutionary divergence time (ET) directly influenced AMF α diversity indices and indirectly impacted spore density via soil nutrients. However, neither ETs nor soil nutrients significantly affected the AMF community structure, with only arbuscular abundance showing a negative correlation with ET. This research underscores the intricate relationship between host plants and AMF in genebanks, offering insights for effective AMF resource management and informed conservation practices. Graphical Abstract

Self-reported tiredness or low energy, often referred to as fatigue, has been linked to lifestyle factors, although data from randomized-controlled trials are lacking. We investigate whether modifiable lifestyle factors including smoking and alcohol intake related exposures (SAIEs) are causal factors for fatigue using Mendelian randomization (MR). A two-sample MR study was performed by using genome-wide association summary results from UK Biobank (UKBB), and each of the sample size is more than 100,000. We used the inverse variance weighted method, and sensitivity analyses (MR Egger, weighted median, penalized median estimators, and multivariable MR) to account for pleiotropy. The two-sample MR analyses showed inverse causal effect of never-smoking status and positive effect of current smoking status on the risk of fatigue. Similarly, genetically predicted alcoholic intake was positively associated with fatigue. The results were consistent across the different MR methods. Our Mendelian randomization analyses do support that the cessation of smoking and alcohol can decrease the risk of fatigue, and limit alcohol intake frequency can also reduce the risk.

Ovarian cancer is the second leading cause of death of female gynecological malignant tumor patients worldwide. Although surgery and chemotherapy have achieved dramatic achievement, the mortality remains high, resulting in the demand for new specific drug discovery. Disrupting ovarian cancer growth via histone deacetylase (HDAC) inhibition is a strategy for cancer therapy or prevention. In this work, we synthesized a novel pyridine derivative named compound H42 and investigated its anti-cancer activity in vivo and in vitro. We found that compound H42 inhibited ovarian cancer cell proliferation with IC50 values of 0.87 μM (SKOV3) and 5.4 μM (A2780). Further studies confirmed that compound H42 induced apoptosis, intracellular ROS production, and DNA damage. Moreover, compound H42 downregulated the expression of histone deacetylase 6 (HDAC6) with a distinct increase in the acetylation of α-tubulin and heat shock protein 90 (HSP90), followed by the degradation of cyclin D1, resulting in cell cycle arrest at the G0/G1 phase. Importantly, ectopic expression of HDAC6 induced deacetylation of HSP90 and α-tubulin, while HDAC6 knockdown upregulated the acetylation of HSP90 and α-tubulin. However, in the nude xenograft mouse study, compound H42 treatment can inhibit ovarian cancer growth without obvious toxicity. These findings indicated that compound H42 inhibited ovarian cancer cell proliferation through inducing cell cycle arrest at the G0/G1 phase via regulating HDAC6-mediated acetylation, suggesting compound H42 could serve as a lead compound for further development of ovarian cancer therapeutic agents.

Camellia oleifera is an important woody edible oil crop in China with high ecological and economical values. It is a traditional oilseed crop with high levels of desirable fatty acids. The fruits of C. oleifera were harvested from 18 geographic provenances in southern China. In this paper, we analyzed the key environmental factors of diverse geographic provenances that caused the variation in the fruit morphology and fatty acid composition (FAC). Our study indicated an average coefficient of variation of fruit width (FW) of 18.63%, and 15.81% for fruit length (FL). The most abundant fatty acids (FA) were oleic acid (C18:1; 70.21–85.23%), followed by palmitic acid (C16:0; 6.93–13.89%) and linoleic acid (C18:2; 5.02–14.26%). In addition, the fruit width had a negative correlation with the equivalent latitude (ELAT) and a positive correlation with the annual mean air temperature (MAT). The fruit length-to-width ratio and oleic acid level had a positive correlation with ELAT but a negative correlation with MAT, annual precipitation (AP), and precipitation of wettest quarter (PWQ). A positive correlation was observed between MAT, AP, and PWQ with palmitic acid. Meanwhile, a negative correlation was found between longitude (LON), maximum temperature of warmest month (MTW), and ELAT and palmitic acid. The cluster analysis indicated six groups for the selected 18 populations. Our results showed the most influential environmental factors for variation in fruit morphology and FAC are ELAT and MAT.

This paper focuses on how to minimize the total passenger travel time cost by computing and adjusting skip-sop patterns with given time-varying origin-to-destination passenger demand matrices. A bi-objective nonlinear integer programming model with linear constraints is proposed to precisely formulate the total travel time cost and operating cost under minute-dependent demand from the different origin–destination pairs. The proposed model is implemented by using the genetic algorithm with the idea point optimization solvers, and we show its effectiveness on the real world instance of Guangzhou Metro Line 8.

Objective: To better understand the timing and unique contribution of four potential mechanisms of behavior change (MOBC) during alcohol use disorder (AUD) treatment (negative affect, positive affect, alcohol craving, and adaptive alcohol coping), we used a time-varying effect modeling analytic approach to examine the change trajectories of alcohol abstinence, heavy drinking, the hypothesized MOBCs, and the time-varying associations between the MOBCs and alcohol outcomes. Method: Participants (N = 181; Mage = 50.8 years, SD = 10.6; 51% women; 93.5% Caucasian) were enrolled in a 12-week randomized clinical trial of cognitive behavioral outpatient treatment program for AUD. For 84 consecutive days, participants provided self-reports of positive and negative affect, craving, alcohol use, and adaptive alcohol coping strategies employed. Results: Throughout the 84-day treatment window, higher daily average craving levels were associated with both decreased likelihood of alcohol abstinence and increased odds of heavy drinking, whereas higher adaptive alcohol coping was associated with increased odds of abstinence and decreased odds of heavy drinking. Higher negative affect was associated with decreased odds of abstinence in the first 10 days of treatment and increased odds of heavy drinking before Day 4 or Day 5. Higher positive affect was associated with decreased odds of heavy drinking during the first 4 or 5 days. Conclusions: The differential time-varying associations between negative affect, positive affect, alcohol craving, adaptive alcohol coping, and alcohol use provide insights into how and when each of the MOBCs is active during AUD treatment. These findings can help optimize the efficacy of future AUD treatments. Public Health Significance Statement This study highlights the importance of reducing both negative affect and craving when treating negative affect drinkers with moderate to severe alcohol use disorder. [ABSTRACT FROM AUTHOR]

Objective: Research has identified several potential mechanisms of behavior change (MOBCs) in cognitive-behavioral therapy for alcohol use disorder, including alcohol abstinence self-efficacy (AASE), negative affect (NA), and positive affect (PA). However, little is known about when MOBCs affect clinical outcomes during alcohol use disorder treatment. Such information could advance MOBC research by identifying relationships between specific treatment content and variations in MOBCs. This study examined three MOBCs simultaneously to determine their timing and relative influence on percent days abstinent (PDA) and drinks per day (DPD). Method: Data were derived from a parent study assessing pretreatment change in drinking. Participants (n = 205) received 12 sessions of cognitive-behavioral therapy for alcohol use disorder. AASE, NA, and PA were measured at each treatment session, and time-varying effect models (TVEM) were used to examine their association with PDA and DPD. Results: All three MOBCs were associated with PDA and DPD but varied with regard to time course, strength, and direction. For PDA, AASE was positively associated throughout treatment, NA was negatively associated from Sessions 1 to 10, and PA was positively associated from Sessions 1 to 3 and 11 to 12. For DPD, AASE was positively associated from Session 5 to the end of treatment, NA was positively associated throughout treatment although the strength of the association varied and was strongest at the beginning of treatment, and PA was positively associated from Sessions 5 to 12. Conclusions: Results show that MOBCs exert their effects at different times during treatment. In addition to replicating these results, future research should attempt to manipulate MOBCs directly and examine their influence on alcohol outcomes. [ABSTRACT FROM AUTHOR]

During the early phases of the COVID-19 pandemic, there were widely reported increases in alcohol consumption among the general population. However, little research has assessed the pandemic’s impact on individuals enrolled in alcohol treatment. Participants (N = 48) in an outpatient alcohol treatment program completed interviews at the end of treatment, during which they responded to open-ended questions assessing how COVID-19 affected their drinking. These responses were converted into categorical variables: COVID-19 increased drinking or COVID-19 decreased or had no impact on drinking. Most participants indicated that COVID-19 increased their drinking. A content analysis revealed three main themes: drinking in response to stress, drinking in response to boredom, and the impact of being in treatment on drinking. This investigation aimed to illuminate emerging clinical treatment practices, including screening approaches and tailored interventions that help populations disproportionately affected by the pandemic. [ABSTRACT FROM AUTHOR]