Air quality–related health damages of food

Agriculture is a major contributor to air pollution, the largest environmental risk factor for mortality in the United States and worldwide. It is largely unknown, however, how individual foods or entire diets affect human health via poor air quality. We show how food production negatively impacts human health by increasing atmospheric fine particulate matter (PM_2.5), and we identify ways to reduce these negative impacts of agriculture. We quantify the air quality–related health damages attributable to 95 agricultural commodities and 67 final food products, which encompass >99% of agricultural production in the United States. Agricultural production in the United States results in 17,900 annual air quality–related deaths, 15,900 of which are from food production. Of those, 80% are attributable to animal-based foods, both directly from animal production and indirectly from growing animal feed. On-farm interventions can reduce PM_2.5-related mortality by 50%, including improved livestock waste management and fertilizer application practices that reduce emissions of ammonia, a secondary PM_2.5 precursor, and improved crop and animal production practices that reduce primary PM_2.5 emissions from tillage, field burning, livestock dust, and machinery. Dietary shifts toward more plant-based foods that maintain protein intake and other nutritional needs could reduce agricultural air quality–related mortality by 68 to 83%. In sum, improved livestock and fertilization practices, and dietary shifts could greatly decrease the health impacts of agriculture caused by its contribution to reduced air quality.

The health and environmental consequences of feeding the increasingly large and affluent global population are becoming increasingly apparent. These consequences have spurred interest in identifying food production practices and diets that improve human health and reduce environmental harm. Recent work has demonstrated that many of the opportunities for food producers and consumers to improve nutritional outcomes also have environmental benefits, such as reducing greenhouse gas emissions, land and water use, and eutrophication (1–6). It is largely unknown, however, how individual foods and diets affect air quality, even though air pollution is the largest environmental mortality risk factor in the United States and globally (7, 8), and agriculture is itself known to be a major contributor to reduced air quality (8, 9). In the United States alone, atmospheric fine particulate matter (PM_2.5) from anthropogenic sources is responsible for about 100,000 premature deaths each year, one-fifth of which are linked to agriculture (10, 11).Here, we show how different foods affect human health by reducing air quality. We consider the emission of pollutants that contribute to atmospheric PM_2.5, the chronic exposure to which increases the incidence of premature mortality from cardiovascular disease, cancer, and stroke (12, 13). These pollutants include directly emitted PM_2.5 (primary PM_2.5) and PM_2.5 formed in the atmosphere (secondary PM_2.5) from the precursors ammonia (NH₃), nitrogen oxides (NO_x), sulfur dioxide (SO₂), and nonmethane volatile organic compounds (NMVOCs). From a spatially explicit inventory of emissions of primary PM_2.5 and secondary PM_2.5 precursors from agricultural supply chain activities for commodities in the contiguous United States (SI Appendix, Figs. S1 and S2) (14, 15) (Materials and Methods), we estimate increases in atmospheric concentrations of total (primary + secondary) PM_2.5 attributable to agricultural emissions; total PM_2.5 transport, chemistry, and removal; and exposure of populations to total PM_2.5 using an ensemble of three independent air quality models (16–19). We describe damages attributable to 95 agricultural commodities and 67 final food products (full list in SI Appendix, Table S1), which cover >99% of US agricultural production (20).     

From the Cover: Emergence of dynamic vortex glasses in disordered polar active fluids

In equilibrium, disorder conspires with topological defects to redefine the ordered states of matter in systems as diverse as crystals, superconductors, and liquid crystals. Far from equilibrium, however, the consequences of quenched disorder on active condensed matter remain virtually uncharted. Here, we reveal a state of strongly disordered active matter with no counterparts in equilibrium: a dynamical vortex glass. Combining microfluidic experiments and theory, we show how colloidal flocks collectively cruise through disordered environments without relaxing the topological singularities of their flows. The resulting state is highly dynamical but the flow patterns, shaped by a finite density of frozen vortices, are stationary and exponentially degenerated. Quenched isotropic disorder acts as a random gauge field turning active liquids into dynamical vortex glasses. We argue that this robust mechanism should shape the collective dynamics of a broad class of disordered active matter, from synthetic active nematics to collections of living cells exploring heterogeneous media.

From a physicist’s perspective, flocks are ensembles of living or synthetic motile units collectively moving along a common emerging direction (1–4). They realize one of the most robust ordered states of matter observed over five orders of magnitude in scale and in systems as diverse as motility assays, self-propelled colloids, shaken grains, and actual flocks of birds (3, 5–10). The quiet flows of flocks are in stark contrast with the spatiotemporal chaos consistently reported and predicted in active nematic liquid crystals, another abundant form of ordered active matter realized in biological tissues, swimming cells, cellular extracts, and shaken rods (2, 11). Active nematics do not support any form of long-range order (4, 12). Their structure is continuously bent and destroyed by the proliferation and annihilation of singularities in their local orientation: topological defects (11, 13–15). Unlike in active nematics, topological defects in flocking matter are merely transient excitations which annihilate rapidly and allow uniaxial order to extend over system-spanning scales (4).This idyllic view of the ordered phases of active liquids is limited, however, to pure systems. Disorder is known to profoundly alter the stability of topological defects and the corresponding ordered states in equilibrium condensed matter (16–18), but its role in active fluids remains virtually uncharted territory. All previous studies (19–26), including our own early experiments (22), have been limited to weak disorder and smooth perturbations around topologically trivial states. Unlike in equilibrium, no available experiment, simulation, or theory has ever demonstrated or predicted disorder-induced topological excitations in active matter.In this paper we show how isotropic disorder generically challenges the extreme robustness of flocking matter to topological defects. We map the full phase behavior of colloidal flocks navigating through disordered lattice of obstacles and reveal an unanticipated state of active matter: a dynamical vortex glass. In dynamical vortex glasses, millions of self-propelled particles can steadily cruise through disorder, maintaining local orientational order and without relaxing the topological singularities of their flows. The associated flow patterns are exponentially degenerated and shaped by amorphous ensembles of frozen topological defects, yielding a dynamical state akin to the static vortex-glass phase of dirty superconductors and random-gauge magnets (27–29). Building a theory of flock hydrodynamics beyond the spin-wave approximation, we elucidate the emergence and stabilization of topological vortices by quenched disorder. Finally, we discuss the universality of the dynamical vortex glass phase beyond the specifics of polar active matter and colloidal flocks.     

CO2浓度升高对不同水分养分条件下小麦幼苗生长的影响--测试文章

设置了5个氮素浓度梯度（N₀、N₁、N₂、N₃、N₄）、3个PEG（P₀、P₁、P₂）浓度梯度以及2个CO₂浓度（370±50 μmol·mol^-1; 700±50 μmol·mol^-1）水平的盆栽试验,探究了小麦幼苗生长、物质积累与分配以及植株水分条件的变化规律。结果表明：小麦幼苗株高、地上部干重、根干重、生物量以及叶水势的最大值以及高浓度CO₂的最大刺激作用均出现在处理N₁P₀; 而根长和根冠比的最大值分别出现在处理N₀P₀和N₁P₂,高浓度CO₂的最大刺激值也分别出现在处理N₀P₀和N₁P₂; 适宜养分条件下,高浓度CO₂能够最大限度地促进小麦幼苗的生长,同时高浓度CO₂通过提高小麦幼苗叶水势,一定程度上缓解了低浓度PEG胁迫的不利影响。因此,未来CO₂浓度升高将对水肥条件好的小麦产生促进作用,可缓解轻度水分不足的不利影响,而对严重干旱胁迫下小麦的生长作用不明显。     

Cannabis,Cigarettes, and Their Co-Occurring Use: Disentangling Differences in Gray Matter Volume

Background:

Structural magnetic resonance imaging techniques are powerful tools for examining the effects of drug use on the brain. The nicotine and cannabis literature has demonstrated differences between nicotine cigarette smokers and cannabis users compared to controls in brain structure; however, less is known about the effects of co-occurring cannabis and tobacco use.

Methods:

We used voxel-based morphometry to examine gray matter volume differences between four groups: (1) cannabis-dependent individuals who do not smoke tobacco (Cs); (2) cannabis-dependent individuals who smoke tobacco (CTs); (3) cannabis-naïve, nicotine-dependent individuals who smoke tobacco (Ts); and (4) healthy controls (HCs). We also explored associations between gray matter volume and measures of cannabis and tobacco use.

Results:

A significant group effect was observed in the left putamen, thalamus, right precentral gyrus, and left cerebellum. Compared to HCs, the Cs, CTs, and Ts exhibited larger gray matter volumes in the left putamen. Cs also had larger gray matter volume than HCs in the right precentral gyrus. Cs and CTs exhibited smaller gray matter volume than HCs in the thalamus, and CTs and Ts had smaller left cerebellar gray matter volume than HCs.

Conclusions:

This study extends previous research that independently examined the effects of cannabis or tobacco use on brain structure by including an examination of co-occurring cannabis and tobacco use, and provides evidence that cannabis and tobacco exposure are associated with alterations in brain regions associated with addiction.     

The association between white matter changes and development of malignant middle cerebral artery infarction: A case–control study

Disrupted blood–brain barrier (BBB) in patients with ischemic stroke plays a critical role in malignant middle cerebral artery infarction (MMI) development.Cerebral white matter changes (WMC), particularly in the deep subcortical area or in severe one, may be also underlain by disrupted BBB. It is unclear whether the presence of WMC with potential premorbid disruption of BBB makes patients susceptible to MMI. Therefore, this study aimed to clarify any putative relationship between the MMI and WMC in terms of their severity and locations.In this case–control study, patients with infarction in the middle cerebral artery territory were retrospectively reviewed. Brain magnetic resonance images were analyzed according to Fazekas scale, and identified WMC were divided into periventricular WMC (PV-WMC) and deep subcortical WMC (deep-WMC). Patients were scored as having WMC, PV-WMC, deep-WMC, severe PV-WMC, and severe deep-WMC according to the severity and locations. Patients were defined as having MMI if either a progressive conscious disturbance or signs of uncal herniation was recorded in combination with a midline shift >5 mm identified on the follow-up computed tomography.Among 297 patients admitted between July 2009 and February 2015, 92 patients were eligible for final analysis. Compared to patients without MMI, patients with MMI had a higher score of National Institutes of Health Stroke Scale, a larger infarct volume, and an increasingly greater proportion of severe PV-WMC, deep-WMC, and severe deep-WMC, respectively. After adjustment for sex, age, infarct volume, and history of hypertension, severe deep-WMC (odds ratio [OR] = 6.362, 95% confidence interval [CI] = 1.444–28.023, P = .0144) and severe PV-WMC (odds ratio = 5.608, 95% confidence interval = 1.107–28.399, P = .0372) were significantly associated with MMI development.MMI and WMC are significantly associated such that MMI development is more likely when PV-WMC or deep-WMC is more severe. We hypothesize that Fazekas scale-defined severe deep-WMC and PV-WMC may be considered as clinically approachable predictors of MMI development. These findings support that the WMC with potential premorbid disrupted BBB may make patients susceptible to MMI, and further prospective study should be conducted to clarify this hypothesis.     

The influence of humic acid on the toxicity of nano‐ZnO and Zn2+ to the Anabaena sp.

This study explored the effects of humic acid (HA) on the toxicity of ZnO nanoparticles (nano‐ZnO) and Zn²⁺ to Anabaena sp. Typical chlorophyll fluorescence parameters, including effective quantum yield, photosynthetic efficiency and maximal electron transport rate, were measured by a pulse‐amplitude modulated fluorometer. Results showed that nano‐ZnO and Zn²⁺ could inhibit Anabaena sp. growth with the EC₅₀ (concentration for 50% of maximal effect) of 0.74 ± 0.01 and 0.3 ± 0.01 mg/L, respectively. In the presence of 3.0 mg/L of HA, EC₅₀ of nano‐ZnO increased to 1.15 ± 0.04 mg/L and EC₅₀ of Zn²⁺ was still 0.3 ± 0.01 mg/L. Scanning electron microscopy observation revealed that HA prevented the adhesion of nano‐ZnO on the algae cells due to the increased electrostatic repulsion. The generation of intracellular reactive oxygen species and cellular lipid peroxidation were significantly limited by HA. Nano‐ZnO had more damage to the cell membrane than Zn²⁺ did, which could be proven by the malondialdehyde content in Anabaena sp. cells. © 2014 Wiley Periodicals, Inc. Environ Toxicol 30: 895–903, 2015.     

Evidence in chronic fatigue syndrome for severity‐dependent upregulation of prefrontal myelination that is independent of anxiety and depression

White matter (WM) involvement in chronic fatigue syndrome (CFS) was assessed using voxel‐based regressions of brain MRI against CFS severity scores and CFS duration in 25 subjects with CFS and 25 normal controls (NCs). As well as voxel‐based morphometry, a novel voxel‐based quantitative analysis of T₁‐ and T₂‐weighted spin‐echo (T1w and T2w) MRI signal level was performed. Severity scores included the Bell CFS disability scale and scores based on the 10 most common CFS symptoms. Hospital Anxiety and Depression Scale (HADS) depression and anxiety scores were included as nuisance covariates. By relaxing the threshold for cluster formation, we showed that the T1w signal is elevated with increasing CFS severity in the ventrolateral thalamus, internal capsule and prefrontal WM. Earlier reports of WM volume losses and neuroinflammation in the midbrain, together with the upregulated prefrontal myelination suggested here, are consistent with the midbrain changes being associated with impaired nerve conduction which stimulates a plastic response on the cortical side of the thalamic relay in the same circuits. The T2w signal versus CFS duration and comparison of T2w signal in the CFS group with the NC group revealed changes in the right middle temporal lobe WM, where impaired communication can affect cognitive function. Adjustment for depression markedly strengthened cluster statistics and increased cluster size in both T1w severity regressions, but adjustment for anxiety less so. Thus, depression and anxiety are statistical confounders here, meaning that they contribute variance to the T1w signal in prefrontal WM but this does not correlate with the co‐located variance from CFS severity. MRI regressions with depression itself only detected associations with WM volume, also located in prefrontal WM. We propose that impaired reciprocal brain–body and brain–brain communication through the midbrain provokes peripheral and central responses which contribute to CFS symptoms. Although anxiety, depression and CFS may share biological features, the present evidence indicates that CFS is a distinct disorder. © 2015 The Authors. NMR in Biomedicine published by John Wiley & Sons, Ltd.     

晚发型抑郁症伴轻度认知损害患者脑白质胆碱能通路的对照研究

目的：对伴轻度认知损害（ MCI）的晚发型抑郁症（ LOD）患者脑白质胆碱能通路的改变进行对照性研究,并分析其与患者认知功能各领域受损的关系。方法：对伴MCI的LOD患者（研究组,n＝25）磁共振成像的胆碱能通路高信号评分（ CHIPS）,同时评定蒙特利尔认知评估量表（ MoCA）,分析CHIPS评分与MoCA各认知领域的关系;并与不伴MCI的LOD患者（对照组,n＝25）进行对照。结果：①研究组MoCA总分、视空间与执行功能、延迟记忆、注意及工作记忆得分,均显著低于对照组,差异有统计学意义（t＝2．091～2．398,P＝0．041～0．028）;②研究组CHIPS显著高于对照组,差异有统计学意义（t＝2．097,P＝0．042）;③研究组CHIPS评分与MoCA总分、视空间与执行功能、延迟记忆得分显著负相关（r＝－0．434,－0．398,－0．483;P＜0．05）。结论：脑白质胆碱能通路受损,在LOD患者MCI的发生中可能起了一定的作用,尤其与其视空间与执行功能、记忆及延迟记忆的损害有关。