利用代谢组学技术研究全氟辛酸的人肝脏毒性机制

采用超高效液相色谱-飞行时间质谱联用系统研究暴露于不同浓度全氟辛酸(PFOA)72 h的正常人L-02肝细胞内代谢谱的变化。将主成分分析法用于数据分析和生物标志物的初步筛选。在正离子和负离子扫描模式下,对照组和暴露组均可得到较好区分并呈现出明显的剂量-效应关系,筛选鉴定了18种与全氟辛酸毒性密切相关的潜在生物标志物,包括肉碱和酰肉碱、核苷及其同源物、氨基酸及其同源物等。在暴露组中,在脂肪酸代谢中起关键作用的肉碱类代谢物的含量变化显著,其中肉碱含量随剂量的升高呈现明显的下降趋势,而酰肉碱则呈现相反的变化趋势,表明全氟辛酸可通过诱导胆固醇等脂类物质代谢相关基因的异常表达从而扰乱胆碱类物质的正常合成和代谢。除了变化最显著的胆碱代谢通路之外,全氟辛酸的肝脏毒性还与三羧酸循环、嘌呤代谢、氨基酸代谢和核酸代谢等多个通路相关。这些结果表明,PFOA在体内经过长时间累积可通过干扰众多的代谢通路从而破坏人体的正常生理机能,造成潜在的健康危害。     

基于核磁共振氢谱代谢组学研究黄连解毒汤对胰岛素抵抗大鼠棕色脂肪组织代谢组的影响

采用基于核磁共振氢谱(¹H NMR)的代谢组学方法, 研究了黄连解毒汤(HJD)对高果糖诱导胰岛素抵抗大鼠模型棕色脂肪代谢组的影响. 选取Wistar大鼠32只, 适应7 d后随机分为正常对照组、 模型组、 阳性药物对照组和黄连解毒汤组, 每组8只. 正常对照组给予纯净水喂养, 其它3组给予100 g/L的果糖水喂饲. 28 d后, 4组大鼠除了继续给予100 g/L的果糖水喂养外, 阳性对照组和黄连解毒汤组同时分别给予阿托伐他汀10 mg/(kg·d)和HJD水煎剂3.175 g/(kg·d)灌胃, 正常对照组和模型组给予一定体积的生理盐水灌胃, 整个实验持续56 d. 取各组大鼠棕色脂肪组织(BAT), 采集各组组织提取液的¹H NMR谱, 运用主成分分析法(PCA)分析. 与正常对照组相比, 在模型组中乳酸、 胆碱、 磷脂胆碱/甘油磷脂胆碱、 肌酸/肌酸酐、 牛磺酸和肌苷的含量升高, 脂质含量降低; 黄连解毒汤组逆转了模型组中上述各代谢物的变化, 且引起肌醇升高, 均具有统计学意义. 实验结果表明, 黄连解毒汤能够逆转机体能量代谢、 减轻细胞膜受损以及降低肝肾损伤, 初步阐明了黄连解毒汤对胰岛素抵抗状态下棕色脂肪组织代谢的调控作用.     

台风过后网箱养殖大黄鱼恢复过程中血清代谢物变化的研究

为了考察台风影响后鱼类恢复过程中血清代谢物的变化,利用超高效液相色谱-四极杆-飞行时间质谱,电喷雾电离源分别在正负离子模式下,对超强台风"罗莎"影响后的象山港网箱养殖大黄鱼血清进行为期半个月的测定,并通过SIMCA-P软件进行主成分分析和正交偏最小二乘法辨别分析.结果表明,大黄鱼恢复过程中潜在生物标志物主要为磷脂酰胆碱和溶血磷脂酰胆碱.另外还有皮五醇和牛黄胆酸.其中,溶血磷脂酰胆碱、含高不饱和度脂肪酰基的磷脂酰胆碱(总不饱和度之和大于9)和牛黄胆酸在恢复过程中均呈现增加的趋势; 而含低不饱和度脂肪酰基的磷脂酰胆碱(总不饱和度之和小于8)和皮五醇则呈现减少的趋势.这些代谢指标物的变化,体现了大黄鱼在台风后恢复过程中,通过皮质类激素调节脂类物质代谢的结果.     

松花粉干预卵巢早衰大鼠肝脏的广泛靶向代谢组学分析

卵巢早衰是妇科领域的常见病,中医认为卵巢早衰与肝肾的正常与否息息相关,通过药食两用物质对肝脏代谢的调理是治疗卵巢早衰的一种重要手段。该研究基于超高效液相色谱-三重四极杆质谱(UHPLC-MS/MS)建立的广泛靶向代谢组学技术,探讨破壁松花粉对环磷酰胺诱导的卵巢早衰模型大鼠肝脏代谢的影响,旨在通过测定对照组、模型组、雌激素阳性对照组及施以不同剂量的松花粉干预组的SD大鼠肝脏组织中代谢物的含量变化,结合主成分分析(PCA)、正交偏最小二乘判别分析(OPLS-DA)等多元统计方法揭示松花粉干预卵巢早衰大鼠肝脏代谢的作用机制。通过正、负离子模式共检测出687种肝脏代谢物,PCA与OPLS-DA显示环磷酰胺诱导的模型组能够与对照组、阳性对照组、松花粉干预组等组别之间的代谢物较好的分离。通过单变量分析中的t检验(p<0.05)、变异倍数(FC>2或<0.5)与多变量分析中变量投影重要性(VIP值)>1相结合对差异代谢物进行筛选。与对照组相比,模型组SD大鼠肝脏中的32个生物标志物含量显著升高,28个生物标志物含量显著降低,主要涉及α-亚麻酸代谢、维生素B6代谢、嘌呤代谢、赖...     

不同批次SD大鼠血清的代谢组学比较

基于核磁共振氢谱(1H NMR)的代谢组学及多元统计等技术分析不同饲养时期的健康SD大鼠血清,探讨了不同批次的实验动物在机体代谢上的差异性。结果表明不同批次的SD大鼠血清代谢物中,柠檬酸、丙酮酸、琥珀酸、谷氨酰胺、二甲基甘氨酸等成分的含量相对稳定,而丙氨酸、精氨酸、异亮氨酸、乳酸、3-羟基丁酸、胆碱等成分的含量易波动。进一步分析得出,氨基酸代谢、酮体代谢、胆碱代谢等体内代谢途径在不同批次大鼠间存在一定的波动性。该研究为评价健康大鼠之间的批次一致性提供了一种新的思路,也为准确地确定血液生物标志物奠定了基础。     

健康和病变关节软骨的傅里叶变换红外光谱显微成像及Fisher判别

傅里叶变换红外光谱显微成像(FTIRI)可同时获得样品的红外光谱和形貌信息,其与化学计量学方法结合,可实现生物组织中主成分含量及分布的定量研究.本研究采用FTIRI技术结合主成分分析(PCA)以及Fisher判别算法对正常和病变的关节软骨进行鉴别分析.对关节软骨切片进行实现FTIR扫描及光谱分析,再利用SPSS软件对软骨的光谱(矩阵)进行主成分分析,根据主成分得分矩阵构造分类函数,结合Fisher判别算法对样本进行分类识别.正常和病变的关节软骨样品识别准确率高达95.7％(初始案例)和94.3％(交互验证案例).本方法可准确有效地辨别关节软骨是否发生病变,为监测骨关节炎的发生和修复提供参考.     

基于GC-TOF/MS技术的转Bt基因大米代谢组学研究

基于GC-TOF/MS技术对来源于两个不同产地的转Bt基因及其亲本大米进行了代谢组学研究。从大米样本中共检出774个色谱峰,鉴定出278种代谢产物,包括糖、氨基酸、脂肪酸及有机酸等代谢产物。对转Bt基因及其亲本大米进行主成分分析,结果表明,转Bt基因与亲本大米的代谢组之间无明显差异性,进一步对数据进行偏最小二乘判别分析和方差分析,仅甘油和鼠李糖两种代谢产物浓度在转Bt基因大米及其亲本大米间存在一定差异(分别升高1.55和3.32倍);考察了不同产地对大米代谢组的影响,结果表明武汉和海南两个产地的大米代谢组之间存在明显差异,有15种代谢产物在不同产地的亲本大米之间以及不同产地的转基因大米之间均发生显著变化。应用GC-TOF/MS技术对来源于不同产地的转Bt基因大米及其亲本大米的代谢组进行比较研究,结果表明引入外源Bt基因对实验中的水稻机体内代谢未产生明显影响,产地差异造成的大米间代谢组差异比引入外源Bt基因造成的大米间代谢组差异更为显著。     

代谢组学方法研究姜黄根茎及块根次生代谢产物表达差异

基于GC-MS的代谢组学分析方法,建立了分析不同产地来源的姜科植物姜黄( Curcuma.Longa L)的根茎(中药姜黄)和块根(中药郁金)的次生代谢产物的方法.对样品的提取方法、气相升温条件和方法学进行了考察,确定采用石油醚索氏提取法对样品进行提取.色谱图中主要化合物的精密度为1.2％～5.7％;重现性为2.18％～6.27％;回归系数R2=0.699～0.972.数据处理采用SIMCA P软件进行主成分(PCA)分析,通过主成分得分图( Score plot)可以明显区分姜黄的根茎及块根样品,说明在根茎和块根中次生代谢产物的表达存在差异;通过载荷图(Loading)和t检验(t-test)发现了14种表达差异显著的化合物.这些化合物可能是姜黄根茎与块根具有不同药性和临床用途的物质基础.     

代谢组学法分析骨髓抑制模型小鼠血清小分子代谢产物

骨髓抑制是恶性肿瘤患者化疗后常见的症状,研究骨髓抑制造成体内代谢产物的变化可以为诊断骨髓抑制病症发展状况及采用药物治疗提供思路。采用雄性BalB/C小鼠腹腔注射环磷酰胺建立骨髓抑制模型,通过气相色谱-质谱(GC-MS)对正常与造模小鼠血液代谢产物进行指纹图谱分析,然后采用主成分分析(PCA)和正交偏最小方差判别分析(OPLS-DA)对代谢组学数据进行多维统计分析。与对照组相比,骨髓抑制模型小鼠血浆中潜在的差异表达代谢标志物有15个,其中葡萄糖-1-磷酸、对硝基苯酚、乙酰苯胺、可的松、烟酰胺、马钱苷、咖啡酸、亚油酸和油酸这9种物质的表达差异有统计学意义(P0.05)。结果表明,代谢产物可作为骨髓抑制研究中的重要标记物,有助于揭示化疗所致骨髓抑制的发病机制,判断疾病发展阶段以及后续治疗手段的有效性。     

毛细管气相色谱法测定健康人外周血单个核细胞磷脂脂肪酸组成

采用毛细管气相色谱法对输注脂肪乳剂的健康志愿者外周血单个核细胞磷脂脂肪酸组成进行了分析测定 ,并将定量结果与输注脂肪乳剂前进行了比较 ,结果表明 :与输注脂肪乳剂前相比 ,连续 7d外周静脉输注 2 0 %脂肪乳剂 (2 5 0mL d) ,外周血单个核细胞数无明显变化 ;外周血单个核细胞磷脂酰乙醇胺中棕榈酸(P <0 .0 5 )和油酸 (P <0 .0 1 )明显增加 ,硬脂酸下降 ;磷脂酰胆碱中棕榈油酸 (P <0 .0 5 )和亚麻酸 (P <0 .0 5 )明显增加 ,而两种磷脂中花生四烯酸及其它多不饱和脂肪酸、饱和脂肪酸与不饱和脂肪酸的比值以及脂肪酸的不饱和指数均未发生明显变化。     

Use of NMR metabolomic plasma profiling methodologies to identify illicit growth-promoting administrations

Detection of growth-promoter use in animal production systems still proves to be an analytical challenge despite years of activity in the field. This study reports on the capability of NMR metabolomic profiling techniques to discriminate between plasma samples obtained from cattle treated with different groups of growth-promoting hormones (dexamethasone, prednisolone, oestradiol) based on recorded metabolite profiles. Two methods of NMR analysis were investigated—a Carr–Purcell–Meiboom–Gill (CPMG)-pulse sequence technique and a conventional ¹H NMR method using pre-extracted plasma. Using the CPMG method, 17 distinct metabolites could be identified from the spectra. ¹H NMR analysis of extracted plasma facilitated identification of 23 metabolites—six more than the alternative method and all within the aromatic region. Multivariate statistical analysis of acquired data from both forms of NMR analysis separated the plasma metabolite profiles into distinct sample cluster sets representative of the different animal study groups. Samples from both sets of corticosteroid-treated animals—dexamethasone and prednisolone—were found to be clustered relatively closely and had similar alterations to identified metabolite panels. Distinctive metabolite profiles, different from those observed within plasma from corticosteroid-treated animal plasma, were observed in oestradiol-treated animals and samples from these animals formed a cluster spatially isolated from control animal plasma samples. These findings suggest the potential use of NMR methodologies of plasma metabolite analysis as a high-throughput screening technique to aid detection of growth promoter use.     

Gene network and canonical pathway analysis in prostate cancer: a microarray study

The molecular mechanism playing a role in the development of prostate cancer (PCA) is not well defined. We decided to determine the changes in gene expression in PCA tissues and to compare them to those in non-cancerous samples. Prostate tissue samples were collected by needle biopsy from 21 PCA and 10 benign prostate hyperplasic (BPH) patients. Total RNA was isolated, cDNA was synthesized, and gene expression levels were determined by microarray method. In the progression to PCA, 738 up-regulated and 515 down-regulated genes were detected in samples. Analysis using Ingenuity Pathway Analysis (IPA) software revealed that 466 network and 423 functions-pathways eligible genes were up-regulated, and 363 network and 342 functions-pathways eligible genes were down-regulated. Up-regulated networks were identified around IL-1beta and insulin-like growth factor-1 (IGF-1) genes. The NFKB gene was centered around two up- and down-regulated networks. Up-regulated canonical pathways were assigned and four of them were evaluated in detail: acute phase response, hepatic fibrosis, actin cytoskeleton, and coagulation pathways. Axonal guidance signaling was the most significant down-regulated canonical pathway. Our data provide not only networks between the genes for understanding the biologic properties of PCA but also useful pathway maps for future understanding of disease and the construction of new therapeutic targets.     

A Multimethodological Characterization of Cannabis sativa L. Inflorescences from Seven Dioecious Cultivars Grown in Italy: The Effect of Different Harvesting Stages

The chemical profile of the female inflorescence extracts from seven Cannabis sativa L. dioecious cultivars (Carmagnola, Fibranova, Eletta Campana, Antal, Tiborszallasi, Kompolti, and Tisza) was monitored at three harvesting stages (4, 14, and 30 September), reaching from the beginning of flowering to end of flowering/beginning of seed formation, using untargeted nuclear magnetic resonance (NMR) and targeted (ultra-high-performance liquid chromatography (UHPLC) and spectrophotometry) analyses. The tetrahydrocannabinol content was always below the legal limits (<0.6%) in all the analyzed samples. The NMR metabolite profile (sugars, organic acids, amino acids, and minor compounds) subjected to principal components analysis (PCA) showed a strong variability according to the harvesting stages: samples harvested in stage I were characterized by a high content of sucrose and myo-inositol, whereas the ones harvested in stage II showed high levels of succinic acid, alanine, valine, isoleucine, phenylalanine, and threonine. Samples harvested in stage III were characterized by high levels of glucose, fructose, choline, trigonelline, malic acid, formic acid, and some amino acids. The ratio between chlorophylls and carotenoids content indicated that all plants grew up exposed to the sun, the Eletta Campana cultivar having the highest pigment amount. Tiborszallasi cultivar showed the highest polyphenol content. The highest antioxidant activity was generally observed in stage II. All these results suggested that the Cannabis sativa L. inflorescences of each analyzed dioecious hemp cultivar presented a peculiar chemical profile affected by the harvesting stage. This information could be useful for producers and industries to harvest inflorescences in the appropriate stage to obtain samples with a peculiar chemical profile suitable for proper applications.     

Heating and temperature gradients of lipid bilayer samples induced by RF irradiation in MAS solid‐state NMR experiments

The MAS solid‐state NMR has been a powerful technique for studying membrane proteins within the native‐like lipid bilayer environment. In general, RF irradiation in MAS NMR experiments can heat and potentially destroy expensive membrane protein samples. However, under practical MAS NMR experimental conditions, detailed characterization of RF heating effect of lipid bilayer samples is still lacking. Herein, using ¹H chemical shift of water for temperature calibration, we systematically study the dependence of RF heating on hydration levels and salt concentrations of three lipids in MAS NMR experiments. Under practical ¹H decoupling conditions used in biological MAS NMR experiments, three lipids show different dependence of RF heating on hydration levels as well as salt concentrations, which are closely associated with the properties of lipids. The maximum temperature elevation of about 10 °C is similar for the three lipids containing 200% hydration, which is much lower than that in static solid‐state NMR experiments. The RF heating due to salt is observed to be less than that due to hydration, with a maximum temperature elevation of less than 4 °C in the hydrated samples containing 120 mmol l^?1 of salt. Upon RF irradiation, the temperature gradient across the sample is observed to be greatly increased up to 20 °C, as demonstrated by the remarkable broadening of ¹H signal of water. Based on detailed characterization of RF heating effect, we demonstrate that RF heating and temperature gradient can be significantly reduced by decreasing the hydration levels of lipid bilayer samples from 200% to 30%. Copyright © 2016 John Wiley & Sons, Ltd.     

Application of HR-MAS NMR spectroscopy for studying chemotype variations of Withania somnifera (L.) Dunal

Withania somnifera (L.) Dunal (Solanaceae), commonly known as Ashwagandha, is one of the most valued Indian medicinal plants with a number of pharmaceutical and nutraceutical applications. Metabolic profiling has been performed by HR-MAS NMR spectroscopy on fresh leaf and root tissue specimens from four chemotypes of W. somnifera. The HR-MAS NMR spectroscopy of lyophilized defatted leaf tissue specimens clearly distinguishes resonances of medicinally important secondary metabolites (withaferin A and withanone) and its distinctive quantitative variability among the chemotypes. A total of 41 metabolites were identified from both the leaf and root tissues of the chemotypes. The presence of methanol in leaf and root tissues of W. somnifera was detected by HR-MAS NMR spectroscopy. Multivariate principal component analysis (PCA) on HR-MAS (1) H NMR spectra of leaves revealed clear variations in primary metabolites among the chemotypes. The results of the present study demonstrated an efficient method, which can be utilized for metabolite profiling of primary and secondary metabolites in medicinally important plants.     

A metabonomic investigation of the biochemical effects of mercuric chloride in the rat using 1H NMR and HPLC-TOF/MS: time dependent changes in the urinary profile of endogenous metabolites as a result of nephrotoxicity

The effects of the administration of a single dose of the model nephrotoxin mercuric chloride (2.0 mg kg(-1), subcutaneous) to male Wistar-derived rats on the urinary metabolite profiles of a range of endogenous metabolites has been investigated using (1)H NMR and HPLC-MS. Urine samples were collected daily for 9 days from both dosed and control animals. Analysis of these samples revealed marked changes in the pattern of endogenous metabolites as a result of HgCl(2) toxicity. Peak disturbances in the urinary metabolite profiles were observed (using both NMR and HPLC-MS) at 3 days post dose. Thereafter the urinary metabolite profile gradually returned to a more normal composition. Markers of toxicity identified by (1)H NMR spectroscopy were raised concentrations of lactate, alanine, acetate, succinate, trimethylamine (TMA), and glucose. Reductions in the urinary excretion of citrate and alpha-ketoglutarate were also seen. Markers identified by HPLC-MS, in positive ion mode, were kynurenic acid, xanthurenic acid, pantothenic acid and 7-methylguanine which decreased after dosing. In addition an ion at m/z 188, probably 3-amino-2-naphthoic acid, was observed to increase after dosing. As well as these identified compounds other ions at m/z 297 and 267 decreased after dosing. In negative ion mode a range of sulfated compounds were observed, including phenol sulfate and benzene diol sulfate, which decreased after dosing. As well as the sulfated components an unidentified glucuronide at m/z 326 was also observed to decrease after dosing. The results of this study demonstrate the complementary nature of the NMR and MS-based techniques for metabonomic analysis.     

Autofluorescence of oral tissue for optical pathology in oral malignancy

Pulsed laser-induced-fluorescence studies of pathologically certified oral tissues are carried out at different excitations and time delays. Among the several excitations used, 325 nm produced noticeably different spectral profile for normal and malignant tissues. Extensive curve analysis was carried out in order to understand changes in biochemical composition of tissue based on spectral profiles. Curve resolution and principal component analysis (PCA) show that the fluorescence intensity changes from normal to malignant tissue samples are not completely explained in terms of simple collagen and NAD(P)H intensity changes. The spectra require at least five components to be fully accounted for. Several discrimination methodologies based on PCA and intensity differences between different emission peaks (resultant peaks of curve analysis) were also evaluated. The results obtained indicate PCA using Mahalanobis distance and spectral residual as discrimination parameters provides best discrimination and can be used for matching unknown samples to standard calibration sets. Intensity ratio of bound NAD(P)H to collagen seems to be more suitable for discrimination between normal and malignant oral tissue, compared to ratio of collagen to total intensity of all the other components together.     

Lipid dynamics and protein-lipid interactions in 2D crystals formed with the β-barrel integral membrane protein VDAC1

We employ a combination of (13)C/(15)N magic angle spinning (MAS) NMR and (2)H NMR to study the structural and functional consequences of different membrane environments on VDAC1 and, conversely, the effect of VDAC1 on the structure of the lipid bilayer. MAS spectra reveal a well-structured VDAC1 in 2D crystals of dimyristoylphosphatidylcholine (DMPC) and diphytanoylphosphatidylcholine (DPhPC), and their temperature dependence suggests that the VDAC structure does not change conformation above and below the lipid phase transition temperature. The same data show that the N-terminus remains structured at both low and high temperatures. Importantly, functional studies based on electrophysiological measurements on these same samples show fully functional channels, even without the presence of Triton X-100 that has been found necessary for in vitro-refolded channels. (2)H solid-state NMR and differential scanning calorimetry were used to investigate the dynamics and phase behavior of the lipids within the VDAC1 2D crystals. (2)H NMR spectra indicate that the presence of protein in DMPC results in a broad lipid phase transition that is shifted from 19 to ~27 °C and show the existence of different lipid populations, consistent with the presence of both annular and bulk lipids in the functionally and structurally homogeneous samples.     

Metabonomics studies of intact hepatic and renal cortical tissues from diabetic db/db mice using high-resolution magic-angle spinning 1H NMR spectroscopy

A metabonomics approach based on high-resolution magic-angle spinning (HRMAS) ¹H NMR spectroscopy was applied to investigate the metabolite composition in intact hepatic tissues and renal cortical tissues from db/db mice of 8 weeks old, an animal model of type 2 diabetes mellitus. Compared to the control group, the hepatic tissues of diabetic mice have elevated levels of triglyceride and bile acid and declined levels of trimethylamine-N-oxide, phosphocholine, glycerophosphocholine, and choline. The biochemical changes are less obvious in renal cortical tissues of diabetic mice. The WET_CPMG pulse sequence was selected for our metabonomics study after the quality and reproducibility of the spectra obtained from the NOEPR, NOEPR_CPMG, and WET_CPMG pulse sequences were analyzed together with principal component analysis. The influence of line-broadening factor of exponential window function for spectral manipulation on class separation was paid attention to for the first time, and an optimal value was obtained under our experimental conditions. These studies show the efficiency of HRMAS ¹H NMR spectroscopy for tissue metabonomics study in combination with multivariate statistical analysis, which may help to explore the etiological factor of diabetes mellitus from a new perspective.

Nuclear Magnetic Resonance-Based Blood Metabolic Profiles of Rats Exposed to Short-Term Caloric Restriction

Caloric restriction increases the life-span of a number of organisms. The relationship between the increase in life-span and the extent of caloric restriction, however, varies among species. The underlying mechanisms are yet unknown, but appear to be related to changes in metabolism. In order to investigate the metabolic response of caloric restriction of rats, here is presented the first nuclear magnetic resonance (NMR) spectroscopy-based study of how blood metabolite profiles are influenced by graded levels of caloric restriction. The study involved three groups of obese rats exposed to 0, 20, and 40 percent caloric restriction for five days. Blood serum from each individual was analyzed by ¹H NMR and the resulting spectra were subjected to multivariate analysis by unsupervised principal component analysis and supervised orthogonal-partial least square discriminant analysis. The analyses revealed that a response to caloric restriction was present at 20 percent caloric restriction. The metabolites that distinguished the profiles at 20 percent restriction deviated from those at 40 percent restriction. The changes induced by caloric restriction were most clearly observed as an increased level of 3-hydroxybutyrate, and decreased levels of lipids and pyruvate. The metabolic responses of rats exposed to caloric restriction are in good agreement with a switch in metabolism from anabolic pathways towards fatty acid catabolism and gluconeogenesis, which is consistent with previous observations for mice.