脑缺血大鼠肺组织NGF/TrkA表达变化及其意义

目的:探讨大鼠脑缺血后肺组织神经生长因子(nerve growth factor,NGF)/酪氨酸蛋白激酶A(tropomyosin-related kinase A,TrkA)表达的变化。方法:成年雄性大鼠随机分为假手术组和脑缺血后6 h、24 h及48 h组,每组8只。建立大脑中动脉永久性局灶性缺血模型,术后于各时间点麻醉处死大鼠后,测定肺组织湿重/干重(W/D),光镜下观察HE染色肺组织病理学改变;Western blot法检测肺组织NGF、TrkA蛋白表达。结果:与假手术组相比,脑缺血后6 h肺组织W/D有增加,差异无统计学意义(P>0.05),而脑缺血后24 h及48 h肺组织W/D均有显著增高(P<0.05),其中以24 h组最明显(P<0.01);脑缺血后6 h肺组织出现轻度充血、水肿及炎性改变,24 h及48 h组肺泡结构破坏明显。病理学评分结果显示,脑缺血后24 h及48 h组大鼠肺组织病理评分较假手术组显著升高(P<0.05);Western blot法显示,脑缺血6 h肺组织中NGF表达增加(P<0.05),48 h时表达有下降趋势,但仍高于假手术组(P<0.05)。而肺组织中TrkA表达在脑缺血6h有下降(P>0.05),24 h下降明显(P<0.05),48 h时TrkA蛋白表达虽有上升,仍显著低于假手术组(P<0.05)。结论:大鼠肺组织NGF/TrkA的动态变化可能参与了脑缺血后肺损伤的病理生理过程。     

心脏右向左分流对偏头痛患者临床症状的影响

目的:探讨心脏右向左分流(RLS)对偏头痛患者临床特征是否存在影响,并研究RLS分级与头痛强度之间的关系。方法:选择2016年6月-2018年12月青岛大学附属医院收治的偏头痛患者216例作为偏头痛组,选择于青岛大学附属医院体检的健康志愿者60例作为对照组。216例偏头痛患者根据有无RLS分为有RLS偏头痛组(127例)和无RLS偏头痛组(89例)。有RLS偏头痛患者根据RLS分级将其分为大分流组(n=51)、中分流组(n=11)和小分流组(n=65)。观察对照组与偏头痛组RLS情况,比较有RLS偏头痛组和无RLS偏头痛组患者的一般资料情况,比较大分流组、中分流组和小分流组患者的一般资料情况,采用多因素Logistic回归分析偏头痛患者产生RLS的危险因素。结果:对照组与偏头痛组小分流、中分流患病率比较差异无统计学意义(P0.05),而偏头痛组大分流患病率高于对照组(P0.05)。有RLS偏头痛组患者的视觉先兆、感觉先兆的比例均大于无RLS偏头痛组,头痛初始年龄均小于无RLS偏头痛组,头痛强度均高于无RLS偏头痛组(P0.05),两组患者年龄、性别、吸烟、饮酒、高血压、糖尿病、高血脂、运动先兆、遗传、头痛频率、头痛持续时间比较差异无统计学意义(P0.05)。不同RLS分级的偏头痛患者的视觉先兆、感觉先兆、头痛初始年龄、头痛强度整体比较差异有统计学意义(P0.05)。多因素Logistic回归分析显示,视觉先兆、感觉先兆、头痛初始年龄是偏头痛患者产生RLS的独立危险因素(P0.05)。结论:偏头痛发病年龄较小或有视觉先兆、感觉先兆可能提示偏头痛患者伴有RLS,RLS分级与头痛强度没有关系。     

颅内动脉瘤夹闭术、血管内栓塞术治疗颅内动脉瘤的疗效及安全性研究

目的:探讨颅内动脉瘤夹闭术、血管内栓塞术治疗颅内动脉瘤的疗效及安全性。方法:回顾性分析2016年9月-2019年1月接受手术治疗的76例颅内动脉瘤患者的临床资料,根据手术方式的不同分为接受颅内动脉瘤夹闭术治疗的A组40例和接受血管内栓塞术治疗的B组36例。对比两组患者的动脉瘤完全闭合率、住院费用及血清炎性因子[C反应蛋白(CRP)、白介素-1β(IL-1β)、白介素-6(IL-6)、肿瘤坏死因子-α(TNF-α)]、脑氧饱和度水平及日常生活能力量表(ADL)评分值,记录并发症发生情况。结果:两组患者的动脉瘤完全闭合率比较差异无统计学意义(x~2=0.515,P=0.473)。A组患者的住院费用低于B组患者(t=17.732,P=0.000);A组患者术后血清中CRP、IL-1β、IL-6、TNF-α的水平高于B组(t=10.580、12.904、9.355、19.176,P均=0.000);A组患者术后脑氧饱和度水平低于B组(t=2.113,P=0.019),两组ADL评分值的差异无统计学意义(t=1.211,P=0.115);A组术中再破裂、脑血管痉挛发生率高于B组患者(x~2=4.817、5.383,P=0.028、0.020)。结论:颅内动脉瘤夹闭术应用于颅内动脉瘤患者,动脉瘤完全闭合率与血管内栓塞术无明显差异,住院费用更低,但对目标血管的刺激较大,可能存在术中再破裂、脑血管痉挛等风险。     

解毒颗粒联合阿帕替尼治疗中晚期肝癌的回顾性研究

目的:评估解毒颗粒联合阿帕替尼治疗中晚期肝癌患者的疗效及其不良反应。方法:对2018年12月至2019年6月收治于海军军医大学第一附属医院口服解毒颗粒联合阿帕替尼的27例肝癌患者的临床资料进行回顾性研究。无法切除或复发的中晚期肝癌患者被纳入研究,给予解毒颗粒联合阿帕替尼治疗直至疾病进展或不可耐受其毒副反应,随访观察治疗效果、生存期、炎症因子指标及不良反应。结果:治疗后完全缓解(CR)4例(14.81%),部分缓解(PR)4例(14.81%),稳定(SD)8例(29.63%),进展(PD)11名患者(40.74%),疾病控制率(DCR)为59.26%(16/27),客观缓解率(ORR)为29.63%(8/27)。中位无进展生存期(PFS)为3.630个月,中位总生存期(OS)为13.667个月。常见的不良反应是高血压59.26%(16/27)、蛋白尿59.26%(16/27)、腹泻74.07%(20/27)以及手足综合征62.96%(17/27)。治疗后炎症因子指标中C反应蛋白、白介素2水平下降,存在统计学差异(P0.05)。结论:解毒颗粒联合阿帕替尼治疗中晚期肝癌安全、有效,可降低患者炎症反应,不良反应可耐受。     

不同温度下稻螟赤眼蜂在黏虫卵上的种群生命表

稻螟赤眼蜂Trichogramma japonicum Ashmead是水稻二化螟Chilo suppressalis(Walker)的优势卵寄生蜂。本文构建了以黏虫卵为中间寄主,稻螟赤眼蜂在20℃、25℃、30℃、33℃四个温度条件下的生命表。研究结果表明利用黏虫卵繁育稻螟赤眼蜂时,不同温度下其生长发育和繁殖均存在显著差异,雌蜂平均寿命随温度的升高呈下降趋势,在20℃条件下,雌蜂平均寿命为1.44 d,显著长于其它温度,当温度为30~33℃时,雌蜂寿命最短,平均为0.59 d。在温度为20℃和25℃时,稻螟赤眼蜂的羽化率显著高于温度较高的30℃和33℃,平均为94.73%。在25℃条件下,黏虫卵繁育的稻螟赤眼蜂的净生殖力(R 0)最大,达到31.9176,单雌寄生卵数最多,为32.88个,表现出最强的繁殖能力,而在30℃条件下,瞬时增长率r m和周限增长率λ达到最大值。综合生命表参数、单雌寄生黏虫卵数、寿命、羽化率等指标,利用黏虫卵工厂化繁殖稻螟赤眼蜂的最佳温度为25℃。本研究为利用黏虫卵大量繁殖稻螟赤眼蜂提供了有价值的参考。     

Phylogenomics of the hyperdiverse daisy tribes: Anthemideae,Astereae, Calenduleae,Gnaphalieae, and Senecioneae

Asteraceae account for 10% of all flowering plant species, and 35%–40% of these are in five closely related tribes that total over 10 000 species. These tribes include Anthemideae, Astereae, Calenduleae, Gnaphalieae, and Senecioneae, which form one of two enormous clades within Subfamily Asteroideae. We took a phylogenomics approach to resolve evolutionary relationships among these five tribes. We sampled the nuclear and plastid genomes via HybSeq target enrichment and genome skimming, and recovered 74 plastid genes and nearly 1000 nuclear loci, known as Conserved Orthologous Sequences. We tested for conflicting support in both data sets and used network analyses to assess patterns of reticulation to explain the early evolutionary history of this lineage, which has experienced whole‐genome duplications and rapid radiations. We found concordance and conflicting support in both data sets and documented four ancient hybridization events. Due to the timing of the early radiation of this five‐tribe lineage, shortly before the Eocene–Oligocene extinction event (34 MYA), early lineages were likely lost, obscuring some details of their early evolutionary history.     

Mangrove blue carbon stocks and dynamics are controlled by hydrogeomorphic settings and land‐use change

Globally, carbon‐rich mangrove forests are deforested and degraded due to land‐use and land‐cover change (LULCC). The impact of mangrove deforestation on carbon emissions has been reported on a global scale; however, uncertainty remains at subnational scales due to geographical variability and field data limitations. We present an assessment of blue carbon storage at five mangrove sites across West Papua Province, Indonesia, a region that supports 10% of the world's mangrove area. The sites are representative of contrasting hydrogeomorphic settings and also capture change over a 25‐years LULCC chronosequence. Field‐based assessments were conducted across 255 plots covering undisturbed and LULCC‐affected mangroves (0‐, 5‐, 10‐, 15‐ and 25‐year‐old post‐harvest or regenerating forests as well as 15‐year‐old aquaculture ponds). Undisturbed mangroves stored total ecosystem carbon stocks of 182–2,730 (mean ± SD: 1,087 ± 584) Mg C/ha, with the large variation driven by hydrogeomorphic settings. The highest carbon stocks were found in estuarine interior (EI) mangroves, followed by open coast interior, open coast fringe and EI forests. Forest harvesting did not significantly affect soil carbon stocks, despite an elevated dead wood density relative to undisturbed forests, but it did remove nearly all live biomass. Aquaculture conversion removed 60% of soil carbon stock and 85% of live biomass carbon stock, relative to reference sites. By contrast, mangroves left to regenerate for more than 25 years reached the same level of biomass carbon compared to undisturbed forests, with annual biomass accumulation rates of 3.6 ± 1.1 Mg C ha^?1 year^?1. This study shows that hydrogeomorphic setting controls natural dynamics of mangrove blue carbon stocks, while long‐term land‐use changes affect carbon loss and gain to a substantial degree. Therefore, current land‐based climate policies must incorporate landscape and land‐use characteristics, and their related carbon management consequences, for more effective emissions reduction targets and restoration outcomes.     

Abiotic factors and trophic interactions affect the macroinvertebrate community of bromeliad tanks in a Neotropical Restinga

Limnology - Aquatic macroinvertebrate communities are dependent on intrinsic environmental characteristics and biological interactions in microhabitat systems. We investigated the...     

Operation Crayweed: Ecological and sociocultural aspects of restoring Sydney’s underwater forests

Operation Crayweed focuses on the restoration of underwater forests that disappeared from the coastline of Sydney, Australia’s largest city, 40 years previously. We show how a combination of science, hands‐on restoration, community engagement and art has helped the project to reach its goals as well as raise awareness about the importance of underwater kelp forests that are experiencing global decline.     

Fungal functional ecology: bringing a trait‐based approach to plant‐associated fungi

Fungi play many essential roles in ecosystems. They facilitate plant access to nutrients and water, serve as decay agents that cycle carbon and nutrients through the soil, water and atmosphere, and are major regulators of macro‐organismal populations. Although technological advances are improving the detection and identification of fungi, there still exist key gaps in our ecological knowledge of this kingdom, especially related to function . Trait‐based approaches have been instrumental in strengthening our understanding of plant functional ecology and, as such, provide excellent models for deepening our understanding of fungal functional ecology in ways that complement insights gained from traditional and ‐omics‐based techniques. In this review, we synthesize current knowledge of fungal functional ecology, taxonomy and systematics and introduce a novel database of fungal functional traits (Fun^Fun). Fun^Fun is built to interface with other databases to explore and predict how fungal functional diversity varies by taxonomy, guild, and other evolutionary or ecological grouping variables. To highlight how a quantitative trait‐based approach can provide new insights, we describe multiple targeted examples and end by suggesting next steps in the rapidly growing field of fungal functional ecology.