Retrospective Descriptive Analysis of the Combined First Trimester of Pregnancy Screening in the Period Included from February 2016 to March 2017, Maternal Fetal Medicine Unit, San Juan de Dios Hospital

A retrospective descriptive study is conducted at the San Juan de Dios Hospital, San José, Costa Rica, during the period from February 2016 to March 2017, with a total of 37 patients from which a combined screening during the first trimester of pregnancy was conducted, evaluating maternal age, biochemical and sonographic methods that together can predict the risk of fetal chromosomal alterations during pregnancy. The purpose of using combined screening as a noninvasive method is to identify high risk gestations and to minimize the number of invasive procedures to detect the highest number of cases. Four patients with higher risk of aneuploidy during pregnancy were identified through this screening.

Multi-factor combined biomarker screening strategy to rapidly diagnose Alzheimer's disease and evaluate drug effect based on a rat model

Alzheimer's disease(AD)represents the main form of dementia;however,valid diagnosis and treatment measures are lacking.The discovery of valuable biomarkers through omics technologies can help solve this problem.For this reason,metabolomic analysis using ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS)was carried out on plasma,hippocampus,and cortex samples of an AD rat model.Based on the metabolomic data,we report a multi-factor combined biomarker screening strategy to rapidly and accurately identify potential biomarkers.Compared with the usual procedure,our strategy can identify fewer biomarkers with higher diagnostic specificity and sensitivity.In addition to diagnosis,the potential biomarkers identified using our strategy were also beneficial for drug evaluation.Multi-factor combined biomarker screening strategy was used to identify differential metabolites from a rat model of amyloid beta peptide 1e40(Aβ_(1-40))plus ibotenic acid-induced AD(compared with the controls)for the first time;lysophosphatidylcholine(LysoPC)and intermediates of sphingolipid metabolism were screened as potential biomarkers.Subsequently,the effects of donepezil and pine nut were successfully reflected by regulating the levels of the abovementioned biomarkers and metabolic profile distribution in partial least squaresdiscriminant analysis(PLS-DA).This novel biomarker screening strategy can be used to analyze other metabolomic data to simultaneously enable disease diagnosis and drug evaluation.

Equidistant combination wavelength screening and step-by-step phase-out method for the near-infrared spectroscopic analysis of serum urea nitrogen

We applied near-infrared(NIR)spectroscopy with chemometrics for the rapid and reagent-fee analysis of serum urea nitrogen(SUN).The modeling is based on the average effect of multiple sample partitions to achieve parameter selection with stability.A multiparameter optimization platform with Norris derivative filter-partial least squares(Norris-PLS)was developed to select the most suitable mode(d=2,s=33,g=15).Using equidistant combination PLS(EC-PLS)with four parameters(initial wavelength I,number of wavelengths N,number of wavelength gaps G and latent variables LV),we performed wavelength screening after eliminating high-absorption wavebands.The optimal EC-PLS parameters were I=1228 nm,N=26,G=16 and LV=12.The root-mean square error(SEP),correlation coefficient(R_(p))for prediction and ratio of performance-to-deviation(RPD)for validation were 1.03 mmol L^(-1),0.992 and 7.6,respectively.We proposed the wavelength step-by-step phase-out PLS(WSP-PLS)to remove redun-dant wavelengths in the top 100 EC-PLS models with improved prediction performance.The combination of 19 wavelengths was identifed as the optimal model for SUN.The SEP,Rp and RPD in validation were 1.01 mmol L^(-1),0.992 and 7.7,respectively.The prediction effect and wavelength complexity were better than those of EC-PIS.Our results showed that NIR spectroscopy combined with the EC-PLS and WSP-PLS methods enabled the high-precision analysis ofSUN.WSP-PLS is a secondary optimization method that can further optimize any wavelength moc odel obtained through other continuous or discrete strategies to establish a simple and better model.

Droplet-based forward genetic screening of astrocyte-microglia cross-talk

Cell-cell interactions in the central nervous system play important roles in neurologic diseases.However,little is known about the specific molecular pathways involved,and methods for their systematic identification are limited.Here,we developed a forward genetic screening platform that combines CRISPR-Cas9 perturbations,cell coculture in picoliter droplets,and microfluidic-based fluorescence-activated droplet sorting to identify mechanisms of cell-cell communication.We used SPEAC seq(systematic perturbation of encapsulated associated cells followed by sequencing).

Screening of Oilseed and Vegetable Dual-purpose Rapeseed Combinations Based on Grey Relation Analysis and Cluster Analysis

To screen out the rapeseed(Brassica napus) combinations that are suitable for the production of both oilseed and vegetable, we carried out a field experiment for 11 new combinations(hybrids) of rapeseed and then performed grey relation analysis and cluster analysis on 12 traits including the yield and quality of young stem,seed yield, and several agronomic traits after harvesting of young stem. The results showed that A11, A7, and A4 had higher main stalk yield than other combinations.The young stem/leaf ratios of A11, A5, A7, A4, A3, and A1 were in line with the quality requirements for young stem commodity. The soluble sugar content of A2,A8, and A10 was higher than that of CK(Fengyou 737), and the seed yields of A4,A3, A2, A1, A5, and A6 were higher than that of CK. The 11 rapeseed combinations were classified into 3 grades by grey relation analysis and cluster analysis. Two combinations, A4(Y20A×95C4R) and A11(3194A×09-5R), showed the weighted relation degrees higher than 0.95, which were clustered into grade I by cluster analysis. They had good agronomic traits and good performance as both oilseed and vegetable. A8, A5, A3, A7, A2, A10, A6, and A1 were clustered into grade Ⅱ and A9 into grade Ⅲ. In this study, the oilseed and vegetable dual-purpose rapeseed combinations were screened out based on grey relation analysis and cluster analysis,which can provide reference for the breeding of oilseed and vegetable dual-purpose rapeseed combinations.

Study on a noninvasive method for rapid screening Human Serum albumin injectables by Raman spectroscopy

Human serum albumin(HSA)injectable product is a severely afflicted area on drug safety due to its high price and restricted supply.Raman spectroscopy performances high specificity on HSA detection and it is even possible to determine HSA injectable products noninvasively.In this study,we developed a noninvasive rapid screening method for of HSA injectable products by using portable Raman spectrometer.Qualitative models were established by using principal component analysis combined with classical least squares(PCA-CLS)algorithm,while quanti-tative model was established by using partial least squares(PLS)algorithm.Model transfer in different instruments of both the same and different apparatus modules was further discussed in this paper.A total of 34 HSA injectable samples collected from markets were used for verification.The identification results showed 100%accuracy and the predicted concentrations of those identified as true HSA were consistent with their labeled concentrations.The quantitative results also indicated that model transfer was excellent in the same apparatus modules of Raman spectrometer at all concentration levels,and still good enough in the different apparatus modules although the relative standard deviation(RSD)value showed a little increasing trend at low HSA concentration level.In conclusion,the method was proved to be feasible and efficient for screening HSA injections,especially on its screening speed and the consideration of glass containers.Moreover,with inspiring results on the model transfer,the method could be used as a universal screening mean to different Raman instruments.

Antibacterial Screening of Fifteen Cameroonian Medicinal Plants against Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa and Salmonella typhi

Multi-drug resistant microbial infections caused by Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa and Salmonella typhi represent a critical public health issue worldwide. Plant-derived agents are credible sources for search and development of alternative antimicrobials to fight these infections. This study describes the in-vitro antibacterial activity of plants extracts from 15 medicinal plants of the Cameroonian pharmacopeia against Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa and Salmonella typhi. Plants selected based on their ethnopharmacological uses were extracted by either maceration or decoction using distilled water, ethanol, methanol and ethylacetate. The afforded extracts were phytochemically screened for bioactive secondary metabolites. The microdilution method was used to assess the antibacterial activity. The two promising extracts were tested in combination using the cbeckboard technique. Eighty one extracts showed antibacterial activity with eight having minimum inhibitory concentrations below 2.5 mg/mL. Results from combination assays with extracts from Terminalia catappa and Gnidia glauca leaves showed synergistic effect against Escherichia coli, Pseudomonas aeruginosa and Salmonella typhi and additive effect against Staphylococcus aureus. These extracts mainly contained saponins, tannins, glucosides, phenols, triterpenes and anthraquinones. These results support the ethnobotanical claims and indicate further directions for the investigation of plants extracts to develop alternative drugs against multi-resistant bacteria.

基于足迹理论的钢铁企业低碳选址评价方法

为推动钢铁企业在资源约束下完成产业升级,在环境约束下提升技术效率,提出一种基于足迹理论的钢铁企业低碳选址评价方法。首先,在钢铁企业常规选址指标的基础上,以足迹理论表征的环境支持力和压力指标为切入点,客观评估待选地区环境容量对新建厂址的容许程度,利用改进灰色关联度完成指标定量筛选,构建钢铁企业低碳选址评价体系。其次,运用差异系数法将主客观权重进行组合优化,采用可拓云模型求解选址综合评价等级隶属度和特征值,并结合可信度因子进行检验。最后,以某钢铁企业产能置换选址为例,确定待选厂址的评价等级。该方法在钢铁企业低碳选址综合评价中具有较好的可行性和适用性。

宫颈刮片BHLHE22/CDO1和COL2A1基因甲基化检测在早期子宫内膜癌筛查中的作用

目的探讨宫颈刮片BHLHE22/CDO1和COL2A1基因甲基化检测在早期子宫内膜癌筛查中的作用。方法选取徐州市妇幼保健院2022年2月—2024年5月行宫腔镜下诊断性刮宫排除子宫内膜病变的患者78例,妇科检查时进行宫颈刮片细胞采集,并进行BHLHE22/CDO1和COL2A1基因甲基化检测。同时收集患者的基本临床资料及三维能量多普勒超声下子宫内膜血流指数(FI)、血管化指数(VI)、血管化-血流指数(VFI)等资料。以宫腔镜手术获得的组织病理学结果为金标准,利用单因素logistic回归模型分析子宫内膜癌的影响因素,采用受试者工作特征(ROC)曲线下面积(AUC)分析相关基因甲基化检测联合或不联合子宫内膜血流指标对早期子宫内膜癌的筛查价值。结果患者年龄、体重指数、VI、FI、VFI、BHLHE22/CDO1基因甲基化高风险是子宫内膜癌的影响因素(P<0.05)。宫颈刮片相关基因甲基化检测筛查子宫内膜癌的AUC为0.926(0.846~1.000),其敏感度和特异度分别为90.48%、94.74%。子宫内膜血流指标VFI联合宫颈刮片相关基因甲基化检测可提高敏感度至100%,但特异度降至68.42%。结论宫颈刮片BHLHE22/CDO1和COL2A1基因甲基化检测筛查子宫内膜癌的准确性较高,联合子宫内膜血流指标可以增加筛查的敏感度,但也降低了筛查的特异度,增加了有创操作的风险。

六君子汤合玉屏风散对肺脾气虚型慢性阻塞性肺疾病稳定期患者免疫功能的影响

目的:探讨六君子汤合玉屏风散对肺脾气虚型慢性阻塞性肺疾病(COPD)稳定期患者免疫功能的影响。方法:选取符合纳入标准的60例证属肺脾气虚型COPD稳定期患者,依据随机数字表随机分为对照组和观察组,每组各30例。对照组根据初始评估给予常规西医基础治疗方案,观察组在对照组治疗基础上加用六君子汤合玉屏风散,两组治疗时间均为4周。比较两组患者治疗前后中医证候积分、六分钟步行试验(6MWT)、改良版英国医学研究委员会呼吸困难量表(mMRC)分级、免疫球蛋白(IgA、IgG、IgM)含量和CD4^(+)、CD8^(+)水平及CD4^(+)/CD8^(+)比值的变化情况,并比较临床疗效。结果:观察组临床总有效率93.33%(28/30)显著高于对照组73.33%(22/30),两组比较差异有统计学意义(P<0.01);治疗后两组患者中医证候积分均较治疗前明显降低(P<0.01),且观察组优于对照组(P<0.01);与治疗前比较,治疗后两组患者6MWT、免疫球蛋白(IgA、IgG、IgM)水平以及CD4^(+)水平、CD4^(+)/CD8^(+)比值均明显升高(P<0.01),mMRC分级、CD8^(+)水平均明显改善(P<0.01,P<0.05),且观察组优于对照组(P<0.05,P<0.01)。结论:六君子汤合玉屏风散可明显改善肺脾气虚型COPD稳定期患者的症状及免疫功能。

基于多靶点粪便FIT-DNA联合检测技术的结直肠癌早筛应用研究

目的评价多靶点粪便FIT-DNA联合检测技术在结直肠癌早期筛查中的效果并进一步分析其应用前景。方法选取内蒙古医科大学附属医院就诊人群,每位受试者分别行血清肿瘤标志物检测、多靶点粪便FIT-DNA联合检测、肠镜检查,以接受多靶点粪便FIT-DNA联合检测人群为实验组,以接受肠镜检查及血清肿瘤标志物检测人群为对照组,以病理结果为金标准,评价新型粪便分子检测技术对于结直肠癌筛查的效果,对筛出的阳性人群给予及时干预。结果共分析了115例患者。血清肿瘤标志物检测敏感度63.2%(43/68),特异度74.5%(35/47);肠镜检查敏感度97.1%(66/68),特异度80.7%(38/47);而多靶点粪便FIT-DNA联合检测敏感度89.7%(61/68),特异度87.2%(41/47)。多靶点粪便FIT-DNA联合检测敏感度、特异度等均优于血清肿瘤标志物检测,敏感度虽低于肠镜检查,但相较肠镜检查操作简单,可居家自测。

重症监护病房新生儿重症联合免疫缺陷病筛查结果及致病基因突变分析

目的 探讨在新生儿重症监护病房(NICU)新生儿中开展重症联合免疫缺陷病(SCID)筛查的意义,以及新生儿性别、胎龄、出生体重和感染对干血斑T细胞受体切除环(TREC)拷贝数检测结果的影响。方法 选取2017年11月16日至2020年6月9日在解放军总医院第七医疗中心NICU住院的227例新生儿作为研究对象,分别按性别、胎龄、出生体重和感染情况进行分组,采用多重实时荧光定量PCR的方法检测TREC拷贝数。分析性别、胎龄、出生体重、感染与TREC拷贝数的关系,并对SCID筛查阳性的新生儿进行全外显子测序分析以明确诊断。结果 不同性别NICU新生儿TREC拷贝数差异无统计学意义(P>0.05);极早产儿组、晚期早产儿组TREC拷贝数高于超早产儿组,差异有统计学意义(P<0.05);TREC拷贝数随着出生体重的增加而稍有增加,但是各组TREC拷贝数差异无统计学意义(P>0.05);感染组TREC拷贝数显著高于非感染组(P<0.05)。16例新生儿SCID筛查阳性,均在SCID致病基因ADA上均检测出2个突变,可以确认为ADA-SCID患者。结论 对NICU新生儿进行SCID早期筛查并对筛查阳性新生儿进行全外显子测序可以明确SCID诊断,对提高SCID患儿生存率有重要意义。NICU新生儿性别、胎龄和出生体重与TREC拷贝数的关系需在扩大样本量后进一步探讨。感染性疾病可能导致SCID筛查的假阳性,应该引起重视。

手机OLED屏幕子像素排布的观察与颜色合成实验

三基色原理是彩色显示器件的基本原理之一,颜色合成实验是物理实验体系中体现三基色原理的常见实验。将实验内容与日常生活紧密结合,激发学生的学习兴趣,是提升实验教学效果的有效手段。学生自己的手机作为实验仪器设计的手机OLED屏幕子像素分布的观察与颜色合成实验能够在完成颜色相加混合实验的同时,调动学生的探究热情,实现良好的教学效果。与现行实验相比,开展实验不需要额外光源和颜色合成仪,成本大幅降低,具有良好的推广意义。

As和Ni超标矿山土壤对不同桑树品种生长及根际微生物多样性的影响

闭库尾矿库土壤生态修复及土地再生利用,不仅避免了随意排放风险,还能增加土地使用面积。桑树根系旺盛,抗逆性强,生物量大,用途广泛,在矿山重金属超标土壤修复和再利用中具有巨大潜力。本研究采用原土盆栽法比较3个桑树品种(Y120、G12和G62)一年生幼苗在矿区砷(As)和镍(Ni)复合污染土壤中种植60 d后的生长情况,以及桑树不同部位对As和Ni的富集差异,同时采用宏基因组分析桑树根际土壤微生物的差异,初步阐明不同桑树品种对As和Ni复合污染矿山土壤的适应能力及与其根际土壤微生物多样性间的关系。结果表明:种植60d后,3个桑树品种根际土壤Ni的污染指数均从种植前的中度降为轻度,G62根际土壤As的污染指数则从重度污染降为中度污染。3个桑树品种的地上部分和根系生长部分均受到抑制,但G62的生长总体优于Y120和G12,G12生长较差。3个桑树品种对As的转运系数和富集系数均小于Ni,对As的富集能力为根>叶>茎,根部积累As的量占植株总量的47.33%~50.52%,品种间差异较小,但对Ni的富集能力则在不同品种间存在差异,G12、G62、Y120根部Ni积累量占植株总量依次为25.67%、38.46%和47.14%,品种间差异较大。生长较好的G62根际土壤中Nocardioides、Thiomonas和Rhizobium 3个属的丰富度显著高于G12和Y120,其中Thiomonas sp.在G62中丰富度最高,结合G62根际土壤As的污染指数下降较多的事实,说明这些属和种可能更多地参与桑树根际对As的阻隔吸收或解毒。Sphingopyxissp.在G12中丰富度最高,该品种在体内转移和富集的As和Ni均最低,可能与其更多地参与桑树对As和Ni复合污染的解毒有关。研究结果为筛选出适宜矿区生长的抗复合重金属的桑树品种及可促进桑树在As和Ni复合污染矿山土壤生长的菌株筛选和利用奠定基础。

碳青霉烯类耐药肺炎克雷伯菌感染的预防和治疗研究进展

碳青霉烯类耐药肠杆菌科细菌在世界范围内广泛传播,其中碳青霉烯类耐药肺炎克雷伯菌最为显著,这些细菌通常对临床常用抗菌药物耐药。在新药的研发和应用有限,以及对联合治疗疗效不明确的背景下,该文分析了有关碳青霉烯类耐药肺炎克雷伯菌感染的预防、单一及联合治疗的相关文献,在碳青霉烯酶流行和抗菌药物耐药性增加的情况下,通过预防和抗感染治疗联动来延缓耐药的发生,为预防耐药菌的传播和抗感染治疗提供新的策略。

基于放电曲线多特征值和组合聚类算法的液态金属电池筛选研究

高效的电池筛选技术是保障储能电池系统安全性、经济性的关键技术之一。为了满足液态金属电池储能系统构建对单体一致性的要求,提出一种组合聚类方法,通过电池恒流放电期间获得的分选指标进行有效聚类,快速实现液态金属电池筛选。首先,提出一种特征提取框架来准确表征电池放电曲线,主要包括数据采集、数据预处理、特征参数生成、筛选指标生成4个阶段,生成的3个筛选指标,分别是电池曲线第2个拐点电压、对应的时间以及电池在第1个拐点电压前的放电能量。然后,提出基于密度的噪声应用空间聚类和均值漂移的组合聚类电池筛选方法,并提出一种一致性差异指标量化评估聚类效果。最后,通过分析212个200 Ah级液态金属电池的聚类优化效果可知,所提方法可显著减弱差异性较大电池对电池筛选的影响,能够同时实现离群值检测及电池自适应快速精准筛选,并通过动态工况测试证实所提方法可有效提升电池组响应一致性。

三角阵列式组合光幕坐标测量系统的研究

提出一种三角阵列式组合光幕坐标测量系统,以解决传统组合光幕靶在坐标测量中存在稳定性差,结构复杂以及成本高等难题。给出了半光强角为3°的发光元件和探测阵列组成的光幕系统设计方案,分析了系统的元器件选型和光幕搭建中探测阵列的工作原理,推导出了三角阵列式组合光幕弹着点坐标的计算方法。研究结果得出在搭建光幕靶架的长宽为1.1 m时,实际光幕测量范围为1 m×1 m,系统可测量直径大于5.7 mm的弹丸;在仿真与对比分析后表明三角阵列式组合光幕坐标测量系统可行。

基于模糊Borda组合评价法筛选适宜基质袋培的螺丝椒品种

【目的】筛选适合基质袋培的高产优质螺丝椒品种,为陕北地区无土栽培辣椒的发展提供依据。【方法】以20个螺丝椒品种(丝路新星、丝路之星、楼兰之星、特早一尺长、中农青螺王子、陇旋339、博收019、HP29017、HP29037、HP29047、HP29082、西域长龙、久保田螺椒王、金椒6号、金椒8号、金椒9号、金椒12号、博陇(37-94)、茎毛802和沃尔斯天萝)为试材,进行基质袋栽培,测定并比较分析各品种辣椒果实的单果质量、果皮厚度、果实长度、维生素C含量、可溶性蛋白含量、游离氨基酸含量、还原糖含量、可溶性总糖含量、硝态氮含量和产量等10项指标,对各指标的相关性进行Pearson分析。同时,采用主成分分析法、TOPSIS分析法、隶属函数分析法和灰色关联度分析法对各品种螺丝椒的产量和品质指标进行评价,经事前一致性检验(Kendall-W)后,采用模糊Borda评价法进行组合评价,以筛选出适合陕北地区基质袋培的螺丝椒品种。【结果】20个螺丝椒品种的单果质量为25.62~52.83 g,以陇旋339最大;果皮厚度为1.58~2.17 mm,以沃尔斯天萝最厚;果实长度为19.42~30.55 cm,以HP29082最长;维生素C含量为276.37~1058.09 mg/hg,以金椒8号最高;可溶性蛋白含量为0.97~1.61 mg/g,以金椒12号最高;游离氨基酸含量为393.78~969.69μg/g,以沃尔斯天萝最高;还原糖和可溶性总糖含量分别为3.82%~6.65%及9.87%~13.91%,均以博收019最高;硝态氮含量在各品种间无显著性差异;产量为9625.98~84600.00 kg/hm^(2),以丝路新星最高。4种单一综合评价方法的评价结果存在差异,主成分分析法的评价结果与其他分析方法评价结果的相关性较弱,其余3种单一评价方法间评价结果的相关系数通过了Kendall-W协和系数事前检验,具有相容性,可进行组合评价。模糊Borda组合评价方法的评价结果通过了事后检验,具有可信性,其评价结果显示排名前5位的螺丝椒品种为丝路新星、HP29047、丝路之星、陇旋339和博收019。【结论】丝路新星、HP29047、丝路之星、陇旋339和博收019为适宜陕北地区基质栽培的螺丝椒品种。

四维彩色多普勒超声联合唐氏筛查诊断胎儿生长受限的临床价值

目的分析四维彩色多普勒超声联合唐氏筛查诊断胎儿生长受限的临床价值。方法以2020年1月至2022年12月我院收治的40例疑似存在胎儿生长受限的孕产妇为本次研究的观察组,再以同期到我院进行产检的40例正常健康胎儿的孕产妇为本次研究的对照组。所有孕产妇均先行四维彩色多普勒超声检查,再行唐氏筛查。比较四维彩色多普勒超声、唐氏筛查单一检查与联合检查对胎儿生长受限的诊断价值。结果观察组的胎盘体积小于对照组,血流搏动指数(PI)、收缩期最大血流速度与舒张期最低血流速度比值(S/D)、阻力指数(RI)高于对照组(P<0.05)。观察组的游离雌三醇(uE3)水平低于对照组,甲胎蛋白(AFP)、游离β-人绒毛膜促性腺激素(β-hCG)水平均高于对照组(P<0.05)。四维彩色多普勒超声与唐氏筛查对胎儿生长受限的诊断效能比较,差异无统计学意义(P>0.05);联合检查对胎儿生长受限的诊断特异度、阳性预测值与单一检查比较,差异无统计学意义(P>0.05);联合检查对胎儿生长受限的诊断准确度、灵敏度、阴性预测值均高于单一检查(P<0.05)。结论四维彩色多普勒超声联合唐氏筛查诊断胎儿生长受限可取得较高的诊断价值。

功能性动作筛查联合功能性体适能测试在普通老年人群中的应用研究

目的通过功能性动作筛查(FMS)与功能性体适能(FF)测试,对普通老年人群身体功能性运动能力进行评价分析,探索FMS联合FF在普通老年人群运动促健康中的应用。方法对64例60~70岁的老年人(男性28例、女性36例)进行FMS和坐站、坐位体前屈、站立-走3项FF测试。结果老年人FMS分值普遍偏低,存在肢体两侧功能性运动能力不对称的情况,其中肩关节差异最为明显;女性FMS总分略高于男性,肩部灵活性与直腿抬高2个动作的性别差异较为显著;女性FF值低于男性,其坐位体前屈测试显著优于男性,且与肩部灵活性与直腿抬高有着较强的正相关,但FMS与FF总体上相关性不强。结论FMS联合FF可形成更加完整的人体运动认识,大幅度提高功能性运动能力评估的精准度。建议老年人运动前使用FMS与FF的联合评估,更好地提高运动锻炼的科学性,充分发挥运动抗衰老的作用。