肾功能减退的基因组学研究进展

杨明鑫, 王梦婧, 陈靖

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中华肾脏病杂志 ›› 2020, Vol. 36 ›› Issue (11) : 885-891. DOI: 10.3760/cma.j.cn441217-20200302-00155
综述

肾功能减退的基因组学研究进展

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Genomics research of kidney function decline

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摘要

慢性肾脏病(CKD)是主要公共问题之一,肾功能是评估CKD严重程度指标之一。肾功能与遗传因素相关,基因组学特别是全基因组关联性研究(GWAS)为研究复杂疾病的遗传背景提供了有力手段。自2009年以来,针对肾功能的GWAS不断涌现,队列规模从上万人到上百万人,已经识别数百个相关基因位点,精细定位、组织定位和功能注释等分析方法筛选出可能的相关基因,同时全表型组关联研究、遗传风险评分等则为基因型与表型的关联提供线索,孟德尔随机化等新的手段从基因层面找出肾功能与其他表型之间的因果关系,进一步的功能研究为全面认识肾功能的生理病理机制研究提供众多线索。本文通过对基因组学在肾功能中的研究进行综述,为保护肾功能的治疗新靶点提供理论参考。

关键词

肾功能不全,慢性 / 基因组学 / 全基因组关联研究 / 肾功能

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彭苗

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杨明鑫 , 王梦婧 , 陈靖. 肾功能减退的基因组学研究进展[J]. 中华肾脏病杂志, 2020, 36(11): 885-891. DOI: 10.3760/cma.j.cn441217-20200302-00155.
Yang Mingxin , Wang Mengjing , Chen Jing. Genomics research of kidney function decline[J]. Chinese Journal of Nephrology, 2020, 36(11): 885-891. DOI: 10.3760/cma.j.cn441217-20200302-00155.
慢性肾脏病(chronic kidney disease,CKD)是主要公共卫生问题之一,其发病率和患病率在世界范围内正在增加[1]。随着中国进入老龄化社会,年龄相关肾损伤、共病相关肾损伤患者逐年增多,中国面临更加严峻的CKD挑战[2-4]。CKD的定义之一为估算肾小球滤过率(estimated glomerular filtration rate,eGFR)低于60 ml·min-1·(1.73 m2)-1[5]。研究显示代谢性疾病、慢性炎症、衰老、遗传等因素均可以引起非肾病性肾功能减退,而正常人群中的肾功能差异将近40%由遗传因素引起[6]。近年来随着基因测序技术的发展,从遗传角度认识肾功能减退获得了越来越多的成果。
基因组学是从基因角度对疾病等进行研究,在肾脏病领域中有广泛应用,包括符合孟德尔遗传的Alport综合征、家族性局灶节段性肾小球硬化、激素抵抗性肾小球肾病、脂蛋白肾病、遗传性肾小管间质疾病等[7-15],以及IgA肾病、糖尿病肾病等不符合孟德尔遗传的复杂疾病[16-20]。近年来依托于大型队列构建的CKDGen联盟(the Chronic Kidney Disease Genetics Consortium)等肾脏病遗传研究数据库,在肾功能减退方面取得很多进展[21-22]。本文对肾功能减退研究相关的基因组学方法以及研究进展进行综述。

一、 基因组学相关研究方法

基因测序方法从Sanger测序、基因芯片到如今广泛应用的二代测序(next-generation sequencing,NGS),通量不断提高,疾病遗传机制的研究策略也从最初的候选基因扩展到全基因组层面[23]。符合孟德尔遗传的疾病多采用以家系为基础的连锁分析法,而复杂疾病/性状多采用以群体为基础的关联分析法。复杂疾病/性状的遗传结构主要有两种假说,由常见变异累积或由罕见变异影响[24-25],全基因组关联性研究(genome-wide association studies,GWAS)主要基于前一个假说,自从在年龄相关性黄斑变性中成功应用[26],GWAS已成为检测复杂疾病/性状遗传背景的强大工具。
GWAS主要采用性价比较高的基因芯片检测单核苷酸多态性(single nucleotide polymorphism,SNP),应用连锁不平衡的原理,以SNP为标记定位到疾病/性状相关的染色体位点,即基因座(locus),为保证敏感性和特异性,一般在两个队列中分别寻找和验证相关基因座。由于单个基因座可能包含众多SNP位点,同时连锁不平衡等机制导致统计关联高的SNP并不一定与表型存在因果关系,由此延伸出精细定位(fine-mapping)的GWAS结果解读方法[27]。精细定位通过统计方法缩小范围,并进行功能注释,找到可能存在因果关系的SNP位点。GWAS是1种从表型到基因型的研究方法,全表型组关联研究(phenome-wide association studies,PheWAS)则将基因变异与许多表型相关联,可以发现基因与疾病之间的关联,识别SNP的多效性[28]。孟德尔随机化(mendelian randomization,MR)是1种研究因果关系的方法,传统流行病学方法往往会有难以控制的偏倚,MR方法则是以基因作为关联,找到某表型相关遗传特征的人群,寻找该人群与另一表型之间的关系,从而得到两个表型间的因果关系。由于个体大部分细胞的基因型早在胚胎时期即确定,基因型出现在表型之前,因果关系论证强度较高。遗传风险评分(genic risk scores,GRS)是对疾病相关的风险SNP位点进行综合评分,识别疾病风险高或者疾病进展更快的人群[29]

二、 不同基因组学研究方法在肾功能研究中的应用

肾功能属于复杂性状,受遗传、环境等多种因素影响,近10年来肾功能方面的基因组学研究特别是GWAS不断涌现。
1. 连锁分析: 该方法主要针对符合孟德尔遗传的疾病,与肾功能减退直接相关的孟德尔遗传病是常染色体显性遗传的肾小管间质性肾炎(autosomal dominant tubulointerstitial kidney disease,ADTKD),临床表现为随年龄增加的肾功能减退,蛋白尿表型不明显。随着NGS的普及,近年来陆续发现MUC1UMODHNF1BRENSEC61A1是ADTKD的致病基因[30],提示这些基因在肾功能的维持中具有重要作用。近期纳入3 000余例CKD患者的全外显子测序提示,在单基因突变的患者中,UMOD突变占比达3%,仅次于引起多囊肾的PKD1/PKD2突变以及IV型胶原突变[12]
2. GWAS: 肾功能的GWAS从单一种族扩展到跨种族研究,纳入人数从数万扩展到百万级别,找到的基因座数目也不断增多。早期的1项关于eGFR的GWAS在欧洲人中进行,纳入6个队列的21 466名参与者,主要是社区人群,也包括数千例CKD患者[31],作者分别分析了MDRD公式(肌酐)和胱抑素C计算的eGFR相关的基因座,在UMOD基因找到与CKD显著相关的SNP位点[31]。同时作者还发现UMODSHROOM3GATM-SPATA5L1与MDRD公式(肌酐)计算的eGFR水平相关,而CSTSTC1基因与胱抑素C计算的eGFR相关[31]。该研究提示了UMOD基因在肾功能中的重要作用。其后的多项欧洲人群研究已累计发现60余个与肾功能相关的位点,与肾脏发育、肾脏结构以及跨膜转运蛋白、葡萄糖代谢等相关[32-37]。一项2012年的研究纳入71 149名东亚人群,利用血尿素氮、尿酸、肌酐以及肌酐计算的eGFR作为肾功能评估指标,GWAS识别了17个与肾功能相关的新位点[38],其中SHROOM3WDR72UMODBCAS3等基因的相关位点与CKD-EPI公式(肌酐)计算的eGFR相关。然而欧洲人群中与肾功能相关的UMOD基因rs12917707位点在东亚人群中变异率较低,其后的研究则在非裔美国退伍军人中发现HBB基因上的rs334位点变异与较差肾功能相关[39],该基因编码β珠蛋白的镰状细胞等位基因,这些体现了不同种族背景的遗传差异。但是近期包含7 064名韩国成年人的研究[40]以及日本迄今最大样本(包含11 221名参与者)的肾功能GWAS[41],未发现与肾功能相关的新位点。这些结果提示影响肾功能的主要基因在不同种族中是类似的。为了扩大样本量,跨种族人群的GWAS应运而生。2016年1项包含71 638名来自非洲、东亚、欧洲人群以及拉丁裔人群的研究对以MDRD公式(肌酐)计算的eGFR的GWAS进行了Meta分析,发现影响eGFR且排名靠前的SNP位点在不同种族中没有遗传异质性[42]。其后,1项纳入多达312 468名跨种族人群的研究,找到93个基因座[43]。而最近的肾功能GWAS纳入百万名跨种族参与者,研究者以76万名参与者为发现组找到308个基因座,可以解释7.1%的eGFR变异,经过另1组28万名参与者以及两组相加的验证,最终确定了264个基因座[6]
3. 精细定位: 基因座大多包含很多SNP位点,同时差异有统计学意义的基因座也可能与真正的因果基因座连锁不平衡,精细定位方法用来定位到明确的SNP位点,并进行功能注释,按照重要性进行排序。近期的1项研究在欧洲人群中对GWAS结果进行精细定位,首先找到58个小的基因座(每个基因组小于5个SNP),经过尿素氮的校正后定位于33个小的基因座[6]。随后将位于外显子区域的错义变异SNP定位于SLC47A1RPL3LSLC25A45CACNA1SEDEM3CPS1KLHDC7APPM1JCERS2C9SLC22A2 11个基因,其中CACNA1SRPL3LCERS2C9基因在尿素氮校正后与肾功能相关,这些基因的功能注释也提示它们与肾功能相关[6]。精细定位还确定了其他候选基因例如NFATC1RGS14-SLC34A1基因,动物实验提示这两种基因是调节盐负荷敏感程度的基因[42],表明盐敏感程度可能是影响肾功能的1个重要指标。此外,基因表达共定位等方法也进一步阐释了相关位点的意义,通过比对器官组织的基因表达谱,可以发现肾功能降低相关的SNP引起各组织基因表达的变化,例如人群中某个基因座变异与肾功能降低和肾脏UMOD基因表达增高相关,该基因座中相关性最显著的SNP位点是位于PDILT基因内含子区域的rs77924615[6],提示这一位点是通过影响UMOD而非PDILT基因发挥作用的。
4. PheWAS: PheWAS可以发现肾功能相关的SNP位点对其他表型的影响。由于单一位点效应微弱,代之以肾功能相关的多个SNP位点进行GRS评分,再找出不同肾功能水平遗传风险得分人群对应的疾病表型。通过该方法发现,预示肾功能下降的GRS评分与慢性肾衰竭、肾小球疾病、原发性高血压相关,而eGFR升高相关的GRS评分与肾结石风险增加相关[6,39],可能是因为肾功能相关的位点与尿液浓缩、钙盐排泄等相关。此外,影响肾功能的部分SNP位点与冠状动脉粥样硬化、2型糖尿病等肾外疾病相关[44]。虽然GRS评分在一定程度上佐证了已发现的SNP与肾功能、CKD相关,但在预测CKD方面未能显现优势,与年龄、性别以及其他常见临床风险因素等相比,肾功能的GRS评分并不能很好地预测个体的CKD风险[44]
5. MR分析: 在肾功能减退的研究中,MR分析一方面可以发挥与PheWAS相似的作用,即分析肾功能降低与其他表型的因果关系[43],另一方面则可以发现其他与肾功能存在因果关系的因素。近年来利用MR方法发现咖啡摄入较多[45]、血清铁较高[46]是肾功能的保护因素,尿酸盐转运体变异引起的尿酸升高是欧洲血统男性的肾功能保护因素[47],另1项研究则提示血清尿酸水平与肾功能无因果关系[48],这表明尿酸盐转运体的变异与肾功能存在因果关系,而非血清尿酸水平。肾功能下降的风险因素则包括2型糖尿病、甲状旁腺功能降低、促甲状腺激素升高以及抗甲状腺过氧化物酶抗体升高等[49-50],循环维生素D代谢水平与肾功能未见因果关系[51]

三、 基因组学研究对肾功能改变机制的提示

影响肾功能的基因可能直接参与肾功能改变的生理病理过程,从而为进一步研究提供线索。大型人群的GWAS提供了上百个与肾功能相关的基因位点,但识别因果基因和功能机制仍面临挑战,目前仅少数基因得到相对充分的论证,这些结果从不同角度为肾功能改变的机制提供了思路,以下列举部分基因。
尿调节素蛋白(uromodulin,别名Tamm-Horsfall)由UMOD基因编码,仅由肾小管产生,对eGFR下降以及罹患CKD的风险影响很大,是目前与肾功能水平相关性突出的基因之一[52]UMOD的罕见变异可以引起ADTKD,常见变异则在多项研究中提示与肾功能相关[6,31,53]。其中UMOD-PDILT基因区域的rs77924615位点在多项研究中得到证实,位于PDILT内含子和UMOD上游,与UMOD基因相关联[6,42],并且在肾组织的基因表达以及尿的尿调节素蛋白水平得到印证。另外,UMOD的变异也与肾结石风险降低以及尿酸水平升高相关[54-55],不过早先发现的1个与欧洲人群肾功能相关的UMOD基因rs12917707位点与尿酸水平无明显关联[31],提示了不同位点效应的差异。另1个基因SHROOM3编码肌动蛋白结合蛋白,调节上皮细胞的形态,在肾脏中也有表达,多项GWAS提示该基因与肾功能相关[6,31,38]。可能的机制是SHROOM3肌动蛋白结合域的变异会导致足细胞足突消失以及肾小球滤过屏障受损[56]。此外,NFATC1RGS14基因在部分研究中与肾功能水平相关[42]NFATC1基因在免疫应答过程中可诱导基因转录,也是环孢素A的下游靶点,RGS14基因编码G蛋白信号转导调节剂14,在肾脏中作用未知,果蝇中这两个蛋白失功能突变会增加对盐负荷的敏感性,盐敏感小鼠模型中这两个基因的RNA表达量下降[42],提示NFATC1RGS14基因可能通过盐负荷的敏感性来影响肾功能。GALNT11CDH23也是与肾功能恶化相关的基因,这两个基因变异的斑马鱼肾脏未见明显异常,但经过肾毒性药物庆大霉素处理后则出现严重水肿[57],提示两个基因的变异可加速肾功能恶化。此外,还有与肾素-血管紧张素-醛固酮系统相关的KNG1基因和纤维化相关的基因FGF5[6]
一些错义变异SNP位点可能直接影响基因编码的蛋白从而影响肾功能,比如SLC47A1基因(SNP位点rs111653425,p.Ala465Val)编码的通道蛋白分布于近端小管等组织的刷状缘上,负责转运阳离子药物、毒物和肌酐等代谢物,该基因敲除的小鼠血清肌酐和尿素氮水平更高,升高水平不能完全用肌酐转运来解释[6],提示该SNP可能影响药物、毒物的排泄进而改变CKD的风险。有趣的是,另1项研究则发现影响SLC47A1基因表达的另1个SNP位点仅在女性中与肾功能相关[44],既往研究也提示该基因在不同性别小鼠中表达存在差异[58],提示该基因功能受激素影响。CACNA1S基因(SNP位点rs3850625,p.Arg1539Cys)编码的L型钙离子通道亚单位,位于肾小球入球小动脉,是高血压药物二氢吡啶类钙离子拮抗剂的靶点,调节小动脉张力和肾小球压力,同时也在骨骼肌高表达,可能通过调节肌酐代谢等机制影响eGFR水平。CPS1基因(SNP位点rs1047891,p.Thr1406Asn)在尿素循环中起作用。CERS2基因(SNP位点rs267738,p.Glu115Ala)在肾脏小球和小管中表达丰富,体外实验表明其可能影响足细胞运动功能[43]
而在蛋白尿的GWAS中呈现高度显著相关的CUBN基因[59],近来发现可能有肾功能的保护作用。CUBN基因编码的Cubilin蛋白分布于肠道和近端肾小管,作为肾小管的3种蛋白重吸收转运体之一发挥作用,CUBN基因的纯合变异导致尿蛋白增多,但肾功能相对较好[60],可能由于小管重吸收蛋白减少了小管间质细胞的损伤,并引发小管蛋白尿可以保护肾功能的讨论[61]

四、 挑战和展望

近10年来肾功能相关的基因组学研究不断涌现,增加了人们对肾功能减退机制的认识。目前影响肾功能水平的基因位点大多映射到肾脏组织[36],很少涉及肾外组织,提示对肾功能的研究需要更多地聚焦在肾脏本身的生理机制上;大部分基因变异在不同种族中没有明显差异,提示影响肾功能的主要基因变异在人类走出非洲之前已经发生[43,62]。目前超大组的GWAS有很多激动人心的发现,不过目前的研究主要集中在欧洲人群,其他种族的队列相对较小、信息不足,可能掩盖了不同种族遗传差异[22];不同年龄段、不同性别人群的分层研究也有待进行。此外,依照生物标志物计算的肾功能可能与标志物本身的代谢相关,需要多种肾功能标志物综合评估和校正[6]。“缺失的遗传力”仍旧存在,目前最大规模研究得到的基因位点仅解释了eGFR总变异的7.1%[6],而肾功能这一性状的遗传力估计为30%~50%[37,63],这意味着eGFR的大多数遗传力仍然无法解释,可能是方法上的漏洞导致遗传力被高估[64],也可能是目前的研究方法忽略了罕见变异的作用[65]。而随着测序成本的降低,全外显子测序以及全基因组测序等NGS方法也逐渐从孟德尔遗传病扩展到复杂性状和疾病中[66-67],具有发现罕见变异、拷贝数变异等优势,可以检测罕见变异在复杂疾病/性状中的重要性。虽然在多基因理论中每个性状相关SNP位点仅有微小影响,但它们都通过特定通路发挥作用,对单个位点进行功能探究依然有必要[68]
基因组学研究对疾病诊治比如药物研发、发现新的生物标志物等具有潜在的指导作用,体现了精准医学的特点[69-71]。目前明确有遗传学支持的药物靶点大多来自罕见的家族性疾病研究,比如治疗高胆固醇血症的前蛋白转化酶枯草杆菌蛋白酶/kexin9型(proprotein convertase subtilisin/kexin type 9,PCSK9)抑制剂,源于法国1个家族性高胆固醇血症家系,家系中的高胆固醇血症患者携带PCSK9基因获得性突变,进一步研究发现携带PCSK9基因功能丧失性突变的人群低密度脂蛋白胆固醇水平低,通过对PCSK9蛋白的功能认识明确了抑制PCSK9可以降低胆固醇[72]。而近年在糖尿病和肾脏病领域备受瞩目的钠-葡萄糖协同转运蛋白2(SGLT2)通道抑制剂,则源于对导致家族性肾性糖尿的SGLT2基因的研究[73-76]。肾功能GWAS的结果也可以用于寻找潜在的药物靶点,比如SLC47A1基因的变异影响药物和毒物的转运[6],可能帮助识别药物肾损伤的风险人员,并成为治疗靶点;而CUBN基因的变异可能通过减少小管性蛋白尿起到保护肾功能的作用,使用Cubilin蛋白的抑制剂减少小管重吸收蛋白,也许可以作为减缓蛋白尿肾损害的1种方法;此外通过MR发现尿酸转运体可以影响肾功能[47],也提示尿酸转运体是可能的治疗靶点。基因组学研究还可以为个体化用药提供线索,例如与肾功能相关的NFATC1基因在足细胞的损伤中有重要作用[42,77],也与盐的代谢相关,同时是环孢素A的作用靶点,尚有研究表明该基因的多态性影响环孢素A在肾移植中的作用[78],或许可以通过基因测序促进环孢素A的个体化用药。基因组研究也可以为疾病的发生发展机制提供思路,比如IgA肾病的GWAS证实了其发病机制的免疫学途径,针对补体机制进行治疗的相关研究也在进行[79]。在生物标志物方面,肾脏基因组研究推动了对UMOD基因认识的加深,其编码的尿调节素蛋白有望成为评估肾脏生理功能的重要标志物[52,80]。虽然肾脏病学领域基因研究起步较晚,但随着研究的进展,有望发现更多保护肾功能的新靶点和生物标志物,识别肾功能减退的风险人群,鉴于很多药物经过肾脏代谢,还可能为个性化用药提供依据。

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[29]
Martin AR, Kanai M, Kamatani Y, et al. Clinical use of current polygenic risk scores may exacerbate health disparities[J]. Nat Genet, 2019, 51(4): 584-591. DOI: 10.1038/s41588-019-0379-x.
Polygenic risk scores (PRS) are poised to improve biomedical outcomes via precision medicine. However, the major ethical and scientific challenge surrounding clinical implementation of PRS is that those available today are several times more accurate in individuals of European ancestry than other ancestries. This disparity is an inescapable consequence of Eurocentric biases in genome-wide association studies, thus highlighting that-unlike clinical biomarkers and prescription drugs, which may individually work better in some populations but do not ubiquitously perform far better in European populations-clinical uses of PRS today would systematically afford greater improvement for European-descent populations. Early diversifying efforts show promise in leveling this vast imbalance, even when non-European sample sizes are considerably smaller than the largest studies to date. To realize the full and equitable potential of PRS, greater diversity must be prioritized in genetic studies, and summary statistics must be publically disseminated to ensure that health disparities are not increased for those individuals already most underserved.
[30]
Ayasreh N, Bullich G, Miquel R, et al. Autosomal dominant tubulointerstitial kidney disease: clinical presentation of patients with ADTKD-UMOD and ADTKD-MUC1[J]. Am J Kidney Dis, 2018, 72(3): 411-418. DOI: 10.1053/j.ajkd.2018.03.019.
Autosomal dominant tubulointerstitial kidney disease (ADTKD) is a rare underdiagnosed cause of end-stage renal disease (ESRD). ADTKD is caused by mutations in at least 4 different genes: MUC1, UMOD, HNF1B, and REN.Retrospective cohort study.56 families (131 affected individuals) with ADTKD referred from different Spanish hospitals. Clinical, laboratory, radiologic, and pathologic data were collected, and genetic testing for UMOD, MUC1, REN, and HNF1B was performed.Hyperuricemia, ultrasound findings, renal histology, genetic mutations.Age at ESRD, rate of decline in estimated glomerular filtration rate.ADTKD was diagnosed in 25 families (45%), 9 carried UMOD pathogenic variants (41 affected members), and 16 carried the MUC1 pathogenic mutation c.(428)dupC (90 affected members). No pathogenic variants were identified in REN or HNF1B. Among the 77 individuals who developed ESRD, median age at onset of ESRD was 51 years for those with ADTKD-MUC1 versus 56 years (P=0.1) for those with ADTKD-UMOD. Individuals with the MUC1 duplication presented higher risk for developing ESRD (HR, 2.24; P=0.03). The slope of decline in estimated glomerular filtration rate showed no significant difference between groups (-3.0mL/min/1.73m per year in the ADTKD-UMOD group versus -3.9mL/min/1.73m per year in the ADTKD-MUC1 group; P=0.2). The prevalence of hyperuricemia was significantly higher in individuals with ADTKD-UMOD (87% vs 54%; P=0.006). Although gout occurred more frequently in this group, the difference was not statistically significant (24% vs 7%; P=0.07).Relatively small Spanish cohort. MUC1 analysis limited to cytosine duplication.The main genetic cause of ADTKD in our Spanish cohort is the MUC1 pathogenic mutation c.(428)dupC. Renal survival may be worse in individuals with the MUC1 mutation than in those with UMOD mutations. Clinical presentation does not permit distinguishing between these variants. However, hyperuricemia and gout are more frequent in individuals with ADTKD-UMOD.Copyright © 2018 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.
[31]
Köttgen A, Glazer NL, Dehghan A, et al. Multiple loci associated with indices of renal function and chronic kidney disease[J]. Nat Genet, 2009, 41(6): 712-717. DOI: 10.1038/ng.377.
Chronic kidney disease (CKD) has a heritable component and is an important global public health problem because of its high prevalence and morbidity. We conducted genome-wide association studies (GWAS) to identify susceptibility loci for glomerular filtration rate, estimated by serum creatinine (eGFRcrea) and cystatin C (eGFRcys), and CKD (eGFRcrea < 60 ml/min/1.73 m(2)) in European-ancestry participants of four population-based cohorts (ARIC, CHS, FHS, RS; n = 19,877; 2,388 CKD cases), and tested for replication in 21,466 participants (1,932 CKD cases). We identified significant SNP associations (P < 5 × 10(-8)) with CKD at the UMOD locus, with eGFRcrea at UMOD, SHROOM3 and GATM-SPATA5L1, and with eGFRcys at CST and STC1. UMOD encodes the most common protein in human urine, Tamm-Horsfall protein, and rare mutations in UMOD cause mendelian forms of kidney disease. Our findings provide new insights into CKD pathogenesis and underscore the importance of common genetic variants influencing renal function and disease.
[32]
Chambers JC, Zhang W, Lord GM, et al. Genetic loci influencing kidney function and chronic kidney disease[J]. Nat Genet, 2010, 42(5): 373-375. DOI: 10.1038/ng.566.
Using genome-wide association, we identify common variants at 2p12-p13, 6q26, 17q23 and 19q13 associated with serum creatinine, a marker of kidney function (P = 10(-10) to 10(-15)). Of these, rs10206899 (near NAT8, 2p12-p13) and rs4805834 (near SLC7A9, 19q13) were also associated with chronic kidney disease (P = 5.0 x 10(-5) and P = 3.6 x 10(-4), respectively). Our findings provide insight into metabolic, solute and drug-transport pathways underlying susceptibility to chronic kidney disease.
[33]
Köttgen A, Pattaro C, Böger CA, et al. New loci associated with kidney function and chronic kidney disease[J]. Nat Genet, 2010, 42(5): 376-384. DOI: 10.1038/ng.568.
Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m(2); n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P < 5 x 10(-8)) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.
[34]
Chasman DI, Fuchsberger C, Pattaro C, et al. Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function[J]. Hum Mol Genet, 2012, 21(24): 5329-5343. DOI: 10.1093/hmg/dds369.
In conducting genome-wide association studies (GWAS), analytical approaches leveraging biological information may further understanding of the pathophysiology of clinical traits. To discover novel associations with estimated glomerular filtration rate (eGFR), a measure of kidney function, we developed a strategy for integrating prior biological knowledge into the existing GWAS data for eGFR from the CKDGen Consortium. Our strategy focuses on single nucleotide polymorphism (SNPs) in genes that are connected by functional evidence, determined by literature mining and gene ontology (GO) hierarchies, to genes near previously validated eGFR associations. It then requires association thresholds consistent with multiple testing, and finally evaluates novel candidates by independent replication. Among the samples of European ancestry, we identified a genome-wide significant SNP in FBXL20 (P = 5.6 × 10(-9)) in meta-analysis of all available data, and additional SNPs at the INHBC, LRP2, PLEKHA1, SLC3A2 and SLC7A6 genes meeting multiple-testing corrected significance for replication and overall P-values of 4.5 × 10(-4)-2.2 × 10(-7). Neither the novel PLEKHA1 nor FBXL20 associations, both further supported by association with eGFR among African Americans and with transcript abundance, would have been implicated by eGFR candidate gene approaches. LRP2, encoding the megalin receptor, was identified through connection with the previously known eGFR gene DAB2 and extends understanding of the megalin system in kidney function. These findings highlight integration of existing genome-wide association data with independent biological knowledge to uncover novel candidate eGFR associations, including candidates lacking known connections to kidney-specific pathways. The strategy may also be applicable to other clinical phenotypes, although more testing will be needed to assess its potential for discovery in general.
[35]
Pattaro C, Köttgen A, Teumer A, et al. Genome-wide association and functional follow-up reveals new loci for kidney function[J]. PLoS Genet, 2012, 8(3): e1002584. DOI: 10.1371/journal.pgen.1002584.
[36]
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function[J]. Nat Commun, 2016, 7: 10023. DOI: 10.1038/ncomms10023.
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.
[37]
Gorski M, van der Most PJ, Teumer A, et al. 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function[J]. Sci Rep, 2017, 7: 45040. DOI: 10.1038/srep45040.
[38]
Okada Y, Sim X, Go MJ, et al. Meta-analysis identifies multiple loci associated with kidney function-related traits in east Asian populations[J]. Nat Genet, 2012, 44(8): 904-909. DOI: 10.1038/ng.2352.
Chronic kidney disease (CKD), impairment of kidney function, is a serious public health problem, and the assessment of genetic factors influencing kidney function has substantial clinical relevance. Here, we report a meta-analysis of genome-wide association studies for kidney function-related traits, including 71,149 east Asian individuals from 18 studies in 11 population-, hospital- or family-based cohorts, conducted as part of the Asian Genetic Epidemiology Network (AGEN). Our meta-analysis identified 17 loci newly associated with kidney function-related traits, including the concentrations of blood urea nitrogen, uric acid and serum creatinine and estimated glomerular filtration rate based on serum creatinine levels (eGFRcrea) (P < 5.0 × 10(-8)). We further examined these loci with in silico replication in individuals of European ancestry from the KidneyGen, CKDGen and GUGC consortia, including a combined total of ∼110,347 individuals. We identify pleiotropic associations among these loci with kidney function-related traits and risk of CKD. These findings provide new insights into the genetics of kidney function.
[39]
Hellwege JN, Velez Edwards DR, Giri A, et al. Mapping eGFR loci to the renal transcriptome and phenome in the VA Million Veteran Program[J]. Nat Commun, 2019, 10(1): 3842. DOI: 10.1038/s41467-019-11704-w.
Chronic kidney disease (CKD), defined by low estimated glomerular filtration rate (eGFR), contributes to global morbidity and mortality. Here we conduct a transethnic Genome-Wide Association Study of eGFR in 280,722 participants of the Million Veteran Program (MVP), with replication in 765,289 participants from the Chronic Kidney Disease Genetics (CKDGen) Consortium. We identify 82 previously unreported variants, confirm 54 loci, and report interesting findings including association of the sickle cell allele of betaglobin among non-Hispanic blacks. Our transcriptome-wide association study of kidney function in healthy kidney tissue identifies 36 previously unreported and nine known genes, and maps gene expression to renal cell types. In a Phenome-Wide Association Study in 192,868 MVP participants using a weighted genetic score we detect associations with CKD stages and complications and kidney stones. This investigation reinterprets the genetic architecture of kidney function to identify the gene, tissue, and anatomical context of renal homeostasis and the clinical consequences of dysregulation.
[40]
Lee J, Lee Y, Park B, et al. Genome-wide association analysis identifies multiple loci associated with kidney disease-related traits in Korean populations[J]. PLoS One, 2018, 13(3): e0194044. DOI: 10.1371/journal.pone.0194044.
[41]
Hishida A, Nakatochi M, Akiyama M, et al. Genome-wide association study of renal function traits: results from the Japan multi-institutional collaborative cohort study[J]. Am J Nephrol, 2018, 47(5): 304-316. DOI: 10.1159/000488946.
Chronic kidney disease (CKD) is a rapidly growing, worldwide public health problem. Recent advances in genome-wide-association studies (GWAS) revealed several genetic loci associated with renal function traits worldwide.We investigated the association of genetic factors with the levels of serum creatinine (SCr) and the estimated glomerular filtration rate (eGFR) in Japanese population-based cohorts analyzing the GWAS imputed data with 11,221 subjects and 12,617,569 variants, and replicated the findings with the 148,829 hospital-based Japanese subjects.In the discovery phase, 28 variants within 4 loci (chromosome [chr] 2 with 8 variants including rs3770636 in the LDL receptor related protein 2 gene locus, on chr 5 with 2 variants including rs270184, chr 17 with 15 variants including rs3785837 in the BCAS3 gene locus, and chr 18 with 3 variants including rs74183647 in the nuclear factor of -activated T-cells 1 gene locus) reached the suggestive level of p < 1 × 10-6 in association with eGFR and SCr, and 2 variants on chr 4 (including rs78351985 in the microsomal triglyceride transfer protein gene locus) fulfilled the suggestive level in association with the risk of CKD. In the replication phase, 25 variants within 3 loci (chr 2 with 7 variants, chr 17 with 15 variants and chr 18 with 3 variants) in association with eGFR and SCr, and 2 variants on chr 4 associated with the risk of CKD became nominally statistically significant after Bonferroni correction, among which 15 variants on chr 17 and 3 variants on chr 18 reached genome-wide significance of p < 5 × 10-8 in the combined study meta-analysis. The associations of the loci on chr 2 and 18 with eGFR and SCr as well as that on chr 4 with CKD risk have not been previously reported in the Japanese and East Asian populations.Although the present GWAS of renal function traits included the largest sample of Japanese participants to date, we did not identify novel loci for renal traits. However, we identified the novel associations of the genetic loci on chr 2, 4, and 18 with renal function traits in the Japanese population, suggesting these are transethnic loci. Further investigations of these associations are expected to further validate our findings for the potential establishment of personalized prevention of renal disease in the Japanese and East Asian populations.© 2018 S. Karger AG, Basel.
[42]
Mahajan A, Rodan AR, Le TH, et al. Trans-ethnic fine mapping highlights kidney-function genes linked to salt sensitivity[J]. Am J Hum Genet, 2016, 99(3): 636-646. DOI: 10.1016/j.ajhg.2016.07.012.
We analyzed genome-wide association studies (GWASs), including data from 71,638 individuals from four ancestries, for estimated glomerular filtration rate (eGFR), a measure of kidney function used to define chronic kidney disease (CKD). We identified 20 loci attaining genome-wide-significant evidence of association (p < 5 × 10(-8)) with kidney function and highlighted that allelic effects on eGFR at lead SNPs are homogeneous across ancestries. We leveraged differences in the pattern of linkage disequilibrium between diverse populations to fine-map the 20 loci through construction of "credible sets" of variants driving eGFR association signals. Credible variants at the 20 eGFR loci were enriched for DNase I hypersensitivity sites (DHSs) in human kidney cells. DHS credible variants were expression quantitative trait loci for NFATC1 and RGS14 (at the SLC34A1 locus) in multiple tissues. Loss-of-function mutations in ancestral orthologs of both genes in Drosophila melanogaster were associated with altered sensitivity to salt stress. Renal mRNA expression of Nfatc1 and Rgs14 in a salt-sensitive mouse model was also reduced after exposure to a high-salt diet or induced CKD. Our study (1) demonstrates the utility of trans-ethnic fine mapping through integration of GWASs involving diverse populations with genomic annotation from relevant tissues to define molecular mechanisms by which association signals exert their effect and (2) suggests that salt sensitivity might be an important marker for biological processes that affect kidney function and CKD in humans. Copyright © 2016 The Author(s). Published by Elsevier Inc. All rights reserved.
[43]
Morris AP, Le TH, Wu H, et al. Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies[J]. Nat Commun, 2019, 10(1): 29. DOI: 10.1038/s41467-018-07867-7.
Chronic kidney disease (CKD) affects ~10% of the global population, with considerable ethnic differences in prevalence and aetiology. We assemble genome-wide association studies of estimated glomerular filtration rate (eGFR), a measure of kidney function that defines CKD, in 312,468 individuals of diverse ancestry. We identify 127 distinct association signals with homogeneous effects on eGFR across ancestries and enrichment in genomic annotations including kidney-specific histone modifications. Fine-mapping reveals 40 high-confidence variants driving eGFR associations and highlights putative causal genes with cell-type specific expression in glomerulus, and in proximal and distal nephron. Mendelian randomisation supports causal effects of eGFR on overall and cause-specific CKD, kidney stone formation, diastolic blood pressure and hypertension. These results define novel molecular mechanisms and putative causal genes for eGFR, offering insight into clinical outcomes and routes to CKD treatment development.
[44]
Graham SE, Nielsen JB, Zawistowski M, et al. Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis[J]. Nat Commun, 2019, 10(1): 1847. DOI: 10.1038/s41467-019-09861-z.
[45]
Kennedy OJ, Pirastu N, Poole R, et al. Coffee consumption and kidney function: a mendelian randomization study[J]. Am J Kidney Dis, 2020, 75(5): 753-761. DOI: 10.1053/j.ajkd.2019.08.025.
Chronic kidney disease (CKD) is a leading cause of morbidity and mortality worldwide, with limited strategies for prevention and treatment. Coffee is a complex mixture of chemicals, and consumption has been associated with mostly beneficial health outcomes. This work aimed to determine the impact of coffee consumption on kidney function.Genome-wide association study (GWAS) and Mendelian randomization.UK Biobank baseline data were used for a coffee consumption GWAS and included 227,666 participants. CKDGen Consortium data were used for kidney outcomes and included 133,814 participants (12,385 cases of CKD) of mostly European ancestry across various countries.Coffee consumption.Estimated glomerular filtration rate (eGFR), CKD GFR categories 3 to 5 (G3-G5; eGFR<60mL/min/1.73m), and albuminuria.GWAS to identify single-nucleotide polymorphisms (SNPs) associated with coffee consumption in UK Biobank and use of those SNPs in Mendelian randomization analyses of coffee consumption and kidney outcomes in CKDGen.2,126 SNPs were associated with coffee consumption (P<5×10), 25 of which were independent and available in CKDGen. Drinking an extra cup of coffee per day conferred a protective effect against CKD G3-G5 (OR, 0.84; 95% CI, 0.72-0.98; P=0.03) and albuminuria (OR, 0.81; 95% CI, 0.67-0.97; P=0.02). An extra cup was also associated with higher eGFR (β=0.022; P=1.6×10) after removal of 3 SNPs responsible for significant heterogeneity (Cochran Q P = 3.5×10).Assays used to measure creatinine and albumin varied between studies that contributed data and a sex-specific definition was used for albuminuria rather than KDIGO guideline recommendations.This study provides evidence of a beneficial effect of coffee on kidney function. Given widespread coffee consumption and limited interventions to prevent CKD incidence and progression, this could have significant implications for global public health in view of the increasing burden of CKD worldwide.Copyright © 2019 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.
[46]
Del Greco MF, Foco L, Pichler I, et al. Serum iron level and kidney function: a Mendelian randomization study[J]. Nephrol Dial Transplant, 2017, 32(2): 273-278. DOI: 10.1093/ndt/gfw215.
[47]
Hughes K, Flynn T, de Zoysa J, et al. Mendelian randomization analysis associates increased serum urate, due to genetic variation in uric acid transporters, with improved renal function[J]. Kidney Int, 2014, 85(2): 344-351. DOI: 10.1038/ki.2013.353.
Increased serum urate predicts chronic kidney disease independent of other risk factors. The use of xanthine oxidase inhibitors coincides with improved renal function. Whether this is due to reduced serum urate or reduced production of oxidants by xanthine oxidase or another physiological mechanism remains unresolved. Here we applied Mendelian randomization, a statistical genetics approach allowing disentangling of cause and effect in the presence of potential confounding, to determine whether lowering of serum urate by genetic modulation of renal excretion benefits renal function using data from 7979 patients of the Atherosclerosis Risk in Communities and Framingham Heart studies. Mendelian randomization by the two-stage least squares method was done with serum urate as the exposure, a uric acid transporter genetic risk score as instrumental variable, and estimated glomerular filtration rate and serum creatinine as the outcomes. Increased genetic risk score was associated with significantly improved renal function in men but not in women. Analysis of individual genetic variants showed the effect size associated with serum urate did not correlate with that associated with renal function in the Mendelian randomization model. This is consistent with the possibility that the physiological action of these genetic variants in raising serum urate correlates directly with improved renal function. Further studies are required to understand the mechanism of the potential renal function protection mediated by xanthine oxidase inhibitors.
[48]
Jordan DM, Choi HK, Verbanck M, et al. No causal effects of serum urate levels on the risk of chronic kidney disease: a mendelian randomization study[J]. PLoS Med, 2019, 16(1): e1002725. DOI: 10.1371/journal.pmed.1002725.
[49]
Xu M, Bi Y, Huang Y, et al. Type 2 diabetes, diabetes genetic score and risk of decreased renal function and albuminuria: a mendelian randomization study[J]. EBioMedicine, 2016, 6: 162-170. DOI: 10.1016/j.ebiom.2016.02.032.
Type 2 diabetes (T2D) is a risk factor for dysregulation of glomerular filtration rate (GFR) and albuminuria. However, whether the association is causal remains unestablished.We performed a Mendelian Randomization (MR) analysis in 11,502 participants aged 40 and above, from a well-defined community in Shanghai during 2011-2013, to explore the causal association between T2D and decreased estimated GFR (eGFR) and increased urinary albumin-to-creatinine ratio (uACR). We genotyped 34 established T2D common variants in East Asians, and created a T2D-genetic risk score (GRS). We defined decreased eGFR as eGFR<90ml/min/1.73m(2) and increased uACR as uACR≥30mg/g. We used the T2D_GRS as the instrumental variable (IV) to quantify the causal effect of T2D on decreased eGFR and increased uACR.Each 1-standard deviation (SD, 3.90 points) increment in T2D_GRS was associated with decreased eGFR: odds ratio (OR)=1.18 (95% confidence interval [CI]: 1.01, 1.30). In the MR analysis, we demonstrated a causal relationship between genetically determined T2D and decreased eGFR (OR=1.47, 95% CI: 1.15, 1.88, P=0.0003). When grouping the genetic loci according to their relations with either insulin secretion (IS) or insulin resistance (IR), we found both IS_GRS and IR_GRS were significantly related to decreased eGFR (both P<0.02). In addition, T2D_GRS and IS_GRS were significantly associated with Log-uACR (both P=0.04).Our results provide novel evidence for a causal association between T2D and decreased eGFR by using MR approach in a Chinese population.Copyright © 2016. Published by Elsevier B.V.
[50]
Ellervik C, Mora S, Ridker PM, et al. Hypothyroidism and kidney function: a mendelian randomization study[J]. Thyroid, 2020, 30(3): 365-379. DOI: 10.1089/thy.2019.0167.
Uncertainty in the mechanism and directionality of observational associations between thyroid function and kidney function may be addressed by genetic analysis with an instrumental variable method termed bidirectional Mendelian randomization (MR). In the Women's Genome Health Study (WGHS), observational associations between thyroid measures and kidney function were evaluated. Genetic instruments for MR were from recent genome-wide association studies (GWAS) of hypothyroidism, thyrotropin (TSH), and free thyroxine (fT4) concentrations within the reference range, thyroid peroxidase antibodies (TPOAb), estimated glomerular filtration rate from creatinine (eGFR), eGFR from cystatin C (eGFR), and chronic kidney disease (CKD). In WGHS individual-level data, these instruments were used for bidirectional MR between thyroid ( = 3336) and kidney ( = 23,186) functions. To increase power, MR was also performed using GWAS summary statistics from the Chronic Kidney Disease Genetics Consortium (CKDGen) for eGFR ( = 567,460), eGFR ( = 24,063), CKD [(total) = 480,698, (cases) = 41,395], and urinary albumin/creatinine ratio (UACR/ = 54,450). In the WGHS, hypothyroidism was observationally associated with decreased eGFR [beta (standard error, SE): -0.024 (0.009) ln(mL/min/1.73 m),  = 0.01]. By MR, hypothyroidism was associated with decreased eGFR in the WGHS [beta (SE): -0.007 (0.002) per doubled odds hypothyroidism,  = 1.7 × 10] and in CKDGen [beta (SE): -0.004 (0.0005),  = 2.0 × 10], and robust to sensitivity analysis. Hypothyroidism was also associated by MR with increased CKD in CKDGen (odds ratio, OR [confidence interval, CI]: 1.05 [1.03-1.08],  = 3.3 × 10), but not in the WGHS (OR [CI]: 1.02 [0.95-1.10],  = 0.57). Increased TSH within the reference range had an MR association with increased eGFR in the WGHS [beta (SE): -0.018 (0.007) ln(mL/min/1.73 m)/standard deviation, SD,  = 6.5 × 10] and CKDGen [beta (SE): -0.008 (0.001) ln(mL/min/1.73 m)/SD,  = 6.8 × 10], and with CKD in CKDGen (OR [CI]: 1.10 [1.04-1.15],  = 3.1 × 10). There were no MR associations of hypothyroidism or TSH with eGFR or UACR, and MR associations of fT4 in the reference range with kidney function were inconsistent in both the WGHS and CKDGen. However, by MR in CKDGen, TPOAb were robustly associated with decreased eGFR [beta (SE): -0.041 (0.009),  = 6.2 × 10] and decreased eGFR [beta (SE): -0.294 (0.065),  = 6.2 × 10]. TPOAb were less robustly associated with CKD but not associated with UACR. In reverse MR in the WGHS, kidney function was not consistently associated with thyroid function. Bidirectional MR supports a directional association from hypothyroidism, increased TSH, and TPOAb, but not fT4, to decreased eGFR and increased CKD.
[51]
Teumer A, Gambaro G, Corre T, et al. Negative effect of vitamin D on kidney function: a Mendelian randomization study[J]. Nephrol Dial Transplant, 2018, 33(12): 2139-2145. DOI: 10.1093/ndt/gfy074.
[52]
Devuyst O, Pattaro C. The UMOD locus: insights into the pathogenesis and prognosis of kidney disease[J]. J Am Soc Nephrol, 2018, 29(3): 713-726. DOI: 10.1681/ASN.2017070716.
The identification of genetic factors associated with kidney disease has the potential to provide critical insights into disease mechanisms. Genome-wide association studies have uncovered genomic regions associated with renal function metrics and risk of CKD. UMOD is among the most outstanding loci associated with CKD in the general population, because it has a large effect on eGFR and CKD risk that is consistent across different ethnic groups. The relevance of UMOD for CKD is clear, because the encoded protein, uromodulin (Tamm–Horsfall protein), is exclusively produced by the kidney tubule and has specific biochemical properties that mediate important functions in the kidney and urine. Rare mutations in UMOD are the major cause of autosomal dominant tubulointerstitial kidney disease, a condition that leads to CKD and ESRD. In this brief review, we use the UMOD paradigm to describe how population genetic studies can yield insight into the pathogenesis and prognosis of kidney diseases.
[53]
郭俊, 陈莉明, 常宝成, 等. 尿调蛋白基因和天津地区汉族糖尿病肾病的相关性[J]. 中华肾脏病杂志, 2016, 32(5): 339-344. DOI: 10.3760/cma.j.issn.1001-7097.2016.05.004.
目的 探讨尿调蛋白(uromodulin,UMOD)基因多态性与天津地区汉族人群糖尿病肾病(diabetic kidney disease)的关系。 方法 选取健康对照者(NC)90例、2型糖尿病患者(T2DM)210例和DKD患者280例(GFR≥90 ml/min组105例,60 ml/mim≤GFR<90 ml/min组84例,GFR<60 ml/min组91例),利用聚合酶链反应-限制性片段长度多态性分析法(PCR-RFLP)进行 UMOD基因rs13333226位点多态性检测。 结果 NC组、T2DM组和DKD组患者的AA、AG、GG 3种基因型频率分别为27.8%、58.9%、13.3%,41.0%、48.6%、10.5%和54.3%、36.1%、9.6%;G等位基因频率分别为42.8%、34.8%和27.7%。NC组与DKD组间、T2DM组与DKD组间在基因型分布上的差异有统计学意义(P<0.05)。 Logistic回归分析显示,UMOD基因的G等位基因是DKD的独立保护因素(B=-0.248,Wald=8.012,P=0.021,OR=0.780,95%CI 0.612~0.968)。 结论 UMOD基因rs13333226 G等位基因可能是天津地区汉族人群DKD的独立保护因素。
[54]
Han J, Liu Y, Rao F, et al. Common genetic variants of the human uromodulin gene regulate transcription and predict plasma uric acid levels[J]. Kidney Int, 2013, 83(4): 733-740. DOI: 10.1038/ki.2012.449.
Uromodulin (UMOD) genetic variants cause familial juvenile hyperuricemic nephropathy, characterized by hyperuricemia with decreased renal excretion of UMOD and uric acid, suggesting a role for UMOD in the regulation of plasma uric acid. To determine this, we screened common variants across the UMOD locus in one community-based Chinese population of 1000 individuals and the other population from 642 American twins and siblings of European and Hispanic ancestry. Transcriptional activity of promoter variants was estimated in luciferase reporter plasmids transfected into HEK-293 cells and mIMCD3 cells. In the primary Chinese population, we found that carriers of the GCC haplotype had higher plasma uric acid, and three promoter variants were associated with plasma uric acid. UMOD promoter variants displayed reciprocal effects on urine uric acid excretion and plasma uric acid concentration, suggesting a primary effect on renal tubular handling of urate. These UMOD genetic marker-on-trait associations for uric acid were replicated in the independent American cohort. Site-directed mutagenesis at trait-associated UMOD promoter variants altered promoter activity in transfected luciferase reporter plasmids. Thus, UMOD promoter variants seem to initiate a cascade of transcriptional and biochemical changes influencing UMOD secretion, leading to altered plasma uric acid levels.
[55]
Gudbjartsson DF, Holm H, Indridason OS, et al. Association of variants at UMOD with chronic kidney disease and kidney stones-role of age and comorbid diseases[J]. PLoS Genet, 2010, 6(7): e1001039. DOI: 10.1371/journal.pgen.1001039.
[56]
Yeo NC, O'Meara CC, Bonomo JA, et al. Shroom3 contributes to the maintenance of the glomerular filtration barrier integrity[J]. Genome Res, 2015, 25(1): 57-65. DOI: 10.1101/gr.182881.114.
Genome-wide association studies (GWAS) identify regions of the genome correlated with disease risk but are restricted in their ability to identify the underlying causative mechanism(s). Thus, GWAS are useful "roadmaps" that require functional analysis to establish the genetic and mechanistic structure of a particular locus. Unfortunately, direct functional testing in humans is limited, demonstrating the need for complementary approaches. Here we used an integrated approach combining zebrafish, rat, and human data to interrogate the function of an established GWAS locus (SHROOM3) lacking prior functional support for chronic kidney disease (CKD). Congenic mapping and sequence analysis in rats suggested Shroom3 was a strong positional candidate gene. Transferring a 6.1-Mb region containing the wild-type Shroom3 gene significantly improved the kidney glomerular function in FHH (fawn-hooded hypertensive) rat. The wild-type Shroom3 allele, but not the FHH Shroom3 allele, rescued glomerular defects induced by knockdown of endogenous shroom3 in zebrafish, suggesting that the FHH Shroom3 allele is defective and likely contributes to renal injury in the FHH rat. We also show for the first time that variants disrupting the actin-binding domain of SHROOM3 may cause podocyte effacement and impairment of the glomerular filtration barrier. © 2015 Yeo et al.; Published by Cold Spring Harbor Laboratory Press.
[57]
Gorski M, Tin A, Garnaas M, et al. Genome-wide association study of kidney function decline in individuals of European descent[J]. Kidney Int, 2015, 87(5): 1017-1029. DOI: 10.1038/ki.2014.361.
Genome-wide association studies (GWASs) have identified multiple loci associated with cross-sectional eGFR, but a systematic genetic analysis of kidney function decline over time is missing. Here we conducted a GWAS meta-analysis among 63,558 participants of European descent, initially from 16 cohorts with serial kidney function measurements within the CKDGen Consortium, followed by independent replication among additional participants from 13 cohorts. In stage 1 GWAS meta-analysis, single-nucleotide polymorphisms (SNPs) at MEOX2, GALNT11, IL1RAP, NPPA, HPCAL1, and CDH23 showed the strongest associations for at least one trait, in addition to the known UMOD locus, which showed genome-wide significance with an annual change in eGFR. In stage 2 meta-analysis, the significant association at UMOD was replicated. Associations at GALNT11 with Rapid Decline (annual eGFR decline of 3 ml/min per 1.73 m(2) or more), and CDH23 with eGFR change among those with CKD showed significant suggestive evidence of replication. Combined stage 1 and 2 meta-analyses showed significance for UMOD, GALNT11, and CDH23. Morpholino knockdowns of galnt11 and cdh23 in zebrafish embryos each had signs of severe edema 72 h after gentamicin treatment compared with controls, but no gross morphological renal abnormalities before gentamicin administration. Thus, our results suggest a role in the deterioration of kidney function for the loci GALNT11 and CDH23, and show that the UMOD locus is significantly associated with kidney function decline.
[58]
Lickteig AJ, Cheng X, Augustine LM, et al. Tissue distribution, ontogeny and induction of the transporters multidrug and toxin extrusion (MATE) 1 and MATE2 mRNA expression levels in mice[J]. Life Sci, 2008, 83(1-2): 59-64. DOI: 10.1016/j.lfs.2008.05.004.
Transporters are expressed in a wide variety of tissues where they perform the critical function of enabling anionic and cationic chemicals of exogenous and endogenous origin to cross otherwise impermeable cell membranes. The Multidrug and toxin extrusion (MATE) transporters mediate cellular efflux of a variety of organic cations, including many drugs. The purpose of the current study was to determine (1) constitutive expression levels of MATE mRNA in various tissues, (2) whether there are gender differences in the expression of MATEs, (3) the ontogenic expression pattern of MATE1 in kidney and (4) whether MATEs are pharmacologically inducible in liver via activation of known transcription factors. In both male and female mice, MATE1 mRNA levels were highest in the kidney, where male expression was higher than female. MATE2 mRNA expression levels were the highest in the testis, where high expression was localized to Sertoli cells, a critical cell type of the blood testis barrier. In female mice, MATE2 mRNA levels were expressed most highly in the colon. The ontogenic pattern of expression of MATE1 mRNA in the kidneys of both males and females was gradual, with levels increasing steadily from prenatal day -2 to 45 days of age, and a gender difference appearing at day 30. Of the transcription factor activators examined (AhR, CAR, Nrf2, PPARalpha and PXR), none were capable of altering MATE1 or MATE2. The current findings support a potential role for MATE1 and MATE2 in a wide range of tissues and, notably, a unique role for MATE2 in the blood-testis barrier.
[59]
Böger CA, Chen MH, Tin A, et al. CUBN is a gene locus for albuminuria[J]. J Am Soc Nephrol, 2011, 22(3): 555-570. DOI: 10.1681/ASN.2010060598.
Identification of genetic risk factors for albuminuria may alter strategies for early prevention of CKD progression, particularly among patients with diabetes. Little is known about the influence of common genetic variants on albuminuria in both general and diabetic populations. We performed a meta-analysis of data from 63,153 individuals of European ancestry with genotype information from genome-wide association studies (CKDGen Consortium) and from a large candidate gene study (CARe Consortium) to identify susceptibility loci for the quantitative trait urinary albumin-to-creatinine ratio (UACR) and the clinical diagnosis microalbuminuria. We identified an association between a missense variant (I2984V) in the CUBN gene, which encodes cubilin, and both UACR (P = 1.1 × 10(-11)) and microalbuminuria (P = 0.001). We observed similar associations among 6981 African Americans in the CARe Consortium. The associations between this variant and both UACR and microalbuminuria were significant in individuals of European ancestry regardless of diabetes status. Finally, this variant associated with a 41% increased risk for the development of persistent microalbuminuria during 20 years of follow-up among 1304 participants with type 1 diabetes in the prospective DCCT/EDIC Study. In summary, we identified a missense CUBN variant that associates with levels of albuminuria in both the general population and in individuals with diabetes.
[60]
Bedin M, Boyer O, Servais A, et al. Human C-terminal CUBN variants associate with chronic proteinuria and normal renal function[J]. J Clin Invest, 2020, 130(1): 335-344. DOI: 10.1172/JCI129937.
BACKGROUNDProteinuria is considered an unfavorable clinical condition that accelerates renal and cardiovascular disease. However, it is not clear whether all forms of proteinuria are damaging. Mutations in CUBN cause Imerslund-Gräsbeck syndrome (IGS), which is characterized by intestinal malabsorption of vitamin B12 and in some cases proteinuria. CUBN encodes for cubilin, an intestinal and proximal tubular uptake receptor containing 27 CUB domains for ligand binding.METHODSWe used next-generation sequencing for renal disease genes to genotype cohorts of patients with suspected hereditary renal disease and chronic proteinuria. CUBN variants were analyzed using bioinformatics, structural modeling, and epidemiological methods.RESULTSWe identified 39 patients, in whom biallelic pathogenic variants in the CUBN gene were associated with chronic isolated proteinuria and early childhood onset. Since the proteinuria in these patients had a high proportion of albuminuria, glomerular diseases such as steroid-resistant nephrotic syndrome or Alport syndrome were often the primary clinical diagnosis, motivating renal biopsies and the use of proteinuria-lowering treatments. However, renal function was normal in all cases. By contrast, we did not found any biallelic CUBN variants in proteinuric patients with reduced renal function or focal segmental glomerulosclerosis. Unlike the more N-terminal IGS mutations, 37 of the 41 proteinuria-associated CUBN variants led to modifications or truncations after the vitamin B12-binding domain. Finally, we show that 4 C-terminal CUBN variants are associated with albuminuria and slightly increased GFR in meta-analyses of large population-based cohorts.CONCLUSIONCollectively, our data suggest an important role for the C-terminal half of cubilin in renal albumin reabsorption. Albuminuria due to reduced cubilin function could be an unexpectedly common benign condition in humans that may not require any proteinuria-lowering treatment or renal biopsy.FUNDINGATIP-Avenir program, Fondation Bettencourt-Schueller (Liliane Bettencourt Chair of Developmental Biology), Agence Nationale de la Recherche (ANR) Investissements d'avenir program (ANR-10-IAHU-01) and NEPHROFLY (ANR-14-ACHN-0013, to MS), Steno Collaborative Grant 2018 (NNF18OC0052457, to TSA and MS), Heisenberg Professorship of the German Research Foundation (KO 3598/5-1, to AK), Deutsche Forschungsgemeinschaft (DFG) Collaborative Research Centre (SFB) KIDGEM 1140 (project 246781735, to CB), and Federal Ministry of Education and Research (BMB) (01GM1515C, to CB).
[61]
Simons M. The benefits of tubular proteinuria: an evolutionary perspective[J]. J Am Soc Nephrol, 2018, 29(3): 710-712. DOI: 10.1681/ASN.2017111197.
[62]
Chan E, Timmermann A, Baldi BF, et al. Human origins in a southern African palaeo-wetland and first migrations[J]. Nature, 2019, 575(7781): 185-189. DOI: 10.1038/s41586-019-1714-1.
[63]
Pattaro C, Aulchenko YS, Isaacs A, et al. Genome-wide linkage analysis of serum creatinine in three isolated European populations[J]. Kidney Int, 2009, 76(3): 297-306. DOI: 10.1038/ki.2009.135.
There is increasing evidence for a role of genetic predisposition in the etiology of kidney disease, but linkage scans have been poorly replicated. Here we performed a genome-wide linkage analysis of serum creatinine on 2859 individuals from isolated villages in South Tyrol (Italy), Rucphen (The Netherlands) and Vis Island (Croatia), populations that have been stable and permanently resident in their region. Linkage of serum creatinine levels to loci on chromosomes 7p14, 9p21, 11p15, 15q15-21, 16p13, and 18p11 was successfully replicated in at least one discovery population or in the pooled analysis. A novel locus was found on chromosome 10p11. Linkage to chromosome 22q13, independent of diabetes and hypertension, was detected over a region containing the non-muscle myosin heavy chain type II isoform A (MYH9) gene (LOD score=3.52). In non-diabetic individuals, serum creatinine was associated with this gene in two of the three populations and in meta-analysis (SNP rs11089788, P-value=0.0089). In populations sharing a homogeneous environment and genetic background, heritability of serum creatinine was higher than in outbred populations, with consequent detection of a larger number of loci than reported before. Our finding of a replicated association of serum creatinine with the MYH9 gene, recently linked to pathological renal conditions in African Americans, suggests that this gene may also influence kidney function in healthy Europeans.
[64]
Vinkhuyzen AA, Wray NR, Yang J, et al. Estimation and partition of heritability in human populations using whole-genome analysis methods[J]. Annu Rev Genet, 2013, 47: 75-95. DOI: 10.1146/annurev-genet-111212-133258.
Understanding genetic variation of complex traits in human populations has moved from the quantification of the resemblance between close relatives to the dissection of genetic variation into the contributions of individual genomic loci. However, major questions remain unanswered: How much phenotypic variation is genetic; how much of the genetic variation is additive and can be explained by fitting all genetic variants simultaneously in one model, and what is the joint distribution of effect size and allele frequency at causal variants? We review and compare three whole-genome analysis methods that use mixed linear models (MLMs) to estimate genetic variation. In all methods, genetic variation is estimated from the relationship between close or distant relatives on the basis of pedigree information and/or single nucleotide polymorphisms (SNPs). We discuss theory, estimation procedures, bias, and precision of each method and review recent advances in the dissection of genetic variation of complex traits in human populations. By using genome-wide data, it is now established that SNPs in total account for far more of the genetic variation than the statistically highly significant SNPs that have been detected in genome-wide association studies. All SNPs together, however, do not account for all of the genetic variance estimated by pedigree-based methods. We explain possible reasons for this remaining "missing heritability."
[65]
Siu H, Zhu Y, Jin L, et al. Implication of next-generation sequencing on association studies[J]. BMC Genomics, 2011, 12: 322. DOI: 10.1186/1471-2164-12-322.
Background: Next-generation sequencing technologies can effectively detect the entire spectrum of genomic variation and provide a powerful tool for systematic exploration of the universe of common, low frequency and rare variants in the entire genome. However, the current paradigm for genome-wide association studies (GWAS) is to catalogue and genotype common variants (5% < MAF). The methods and study design for testing the association of low frequency (0.5% < MAF <= 5%) and rare variation (MAF <= 0.5%) have not been thoroughly investigated. The 1000 Genomes Project represents one such endeavour to characterize the human genetic variation pattern at the MAF = 1% level as a foundation for association studies. In this report, we explore different strategies and study designs for the near future GWAS in the post-era, based on both low coverage pilot data and exon pilot data in 1000 Genomes Project.;Results: We investigated the linkage disequilibrium (LD) pattern among common and low frequency SNPs and its implication for association studies. We found that the LD between low frequency alleles and low frequency alleles, and low frequency alleles and common alleles are much weaker than the LD between common and common alleles. We examined various tagging designs with and without statistical imputation approaches and compare their power against de novo resequencing in mapping causal variants under various disease models. We used the low coverage pilot data which contain similar to 14 M SNPs as a hypothetical genotype-array platform (Pilot 14 M) to interrogate its impact on the selection of tag SNPs, mapping coverage and power of association tests. We found that even after imputation we still observed 45.4% of low frequency SNPs which were untaggable and only 67.7% of the low frequency variation was covered by the Pilot 14 M array.;Conclusions: This suggested GWAS based on SNP arrays would be ill-suited for association studies of low frequency variation.
[66]
周家蓬, 裴智勇, 陈禹保, 等. 基于高通量测序的全基因组关联研究策略[J]. 遗传, 2014, 36(11): 1099-1111. DOI: 10.3724/SP.J.1005.2014.1099.
[67]
Yano K, Yamamoto E, Aya K, et al. Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice[J]. Nat Genet, 2016, 48(8): 927-934. DOI: 10.1038/ng.3596.
A genome-wide association study (GWAS) can be a powerful tool for the identification of genes associated with agronomic traits in crop species, but it is often hindered by population structure and the large extent of linkage disequilibrium. In this study, we identified agronomically important genes in rice using GWAS based on whole-genome sequencing, followed by the screening of candidate genes based on the estimated effect of nucleotide polymorphisms. Using this approach, we identified four new genes associated with agronomic traits. Some genes were undetectable by standard SNP analysis, but we detected them using gene-based association analysis. This study provides fundamental insights relevant to the rapid identification of genes associated with agronomic traits using GWAS and will accelerate future efforts aimed at crop improvement.
[68]
Ehret G. In the age of genomics, is it still worth it to investigate individual loci?[J]. Hypertension, 2019, 74(3): 495-496. DOI: 10.1161/HYPERTENSIONAHA.119.12521.
[69]
Nelson MR, Tipney H, Painter JL, et al. The support of human genetic evidence for approved drug indications[J]. Nat Genet, 2015, 47(8): 856-860. DOI: 10.1038/ng.3314.
Over a quarter of drugs that enter clinical development fail because they are ineffective. Growing insight into genes that influence human disease may affect how drug targets and indications are selected. However, there is little guidance about how much weight should be given to genetic evidence in making these key decisions. To answer this question, we investigated how well the current archive of genetic evidence predicts drug mechanisms. We found that, among well-studied indications, the proportion of drug mechanisms with direct genetic support increases significantly across the drug development pipeline, from 2.0% at the preclinical stage to 8.2% among mechanisms for approved drugs, and varies dramatically among disease areas. We estimate that selecting genetically supported targets could double the success rate in clinical development. Therefore, using the growing wealth of human genetic data to select the best targets and indications should have a measurable impact on the successful development of new drugs.
[70]
Reilly DF, Breyer MD. The use of genomics to drive kidney disease drug discovery and development[J]. Clin J Am Soc Nephrol, 2020, 15(9): 1342-1351. DOI: 10.2215/CJN.11070919.
As opposed to diseases such as cancer, autoimmune disease, and diabetes, identifying drugs to treat CKD has proven significantly more challenging. Over the past 2 decades, new potential therapeutic targets have been identified as genetically altered proteins involved in rare monogenetic kidney diseases. Other possible target genes have been implicated through common genetic polymorphisms associated with CKD in the general population. Significant challenges remain before translating these genetic insights into clinical therapies for CKD. This paper will discuss how genetic variants may be leveraged to develop drugs and will especially focus on those genes associated with CKD to exemplify the value and challenges in including genetic information in the drug development pipeline.
[71]
刘必成, 汤涛涛. 精准医学对我国肾脏病学发展的启示[J]. 中华肾脏病杂志, 2016, 32(1): 64-67. DOI: 10.3760/cma.j.issn.1001-7097.2016.01.014.
[72]
Kotowski IK, Pertsemlidis A, Luke A, et al. A spectrum of PCSK9 alleles contributes to plasma levels of low-density lipoprotein cholesterol[J]. Am J Hum Genet, 2006, 78(3): 410-422. DOI: 10.1086/500615.
Selected missense mutations in the proprotein convertase subtilisin/kexin type 9 serine protease gene (PCSK9) cause autosomal dominant hypercholesterolemia, whereas nonsense mutations in the same gene are associated with low plasma levels of low-density lipoprotein cholesterol (LDL-C). Here, DNA sequencing and chip-based oligonucleotide hybridization were used to determine whether other sequence variations in PCSK9 contribute to differences in LDL-C levels. The coding regions of PCSK9 were sequenced in the blacks and whites from the Dallas Heart Study (n=3,543) who had the lowest (<5th percentile) and highest (>95th percentile) plasma levels of LDL-C. Of the 17 missense variants identified, 3 (R46L, L253F, and A443T) were significantly and reproducibly associated with lower plasma levels of LDL-C (reductions ranging from 3.5% to 30%). None of the low-LDL-C variants were associated with increased hepatic triglyceride content, as measured by proton magnetic resonance spectroscopy. This finding is most consistent with the reduction in LDL-C being caused primarily by accelerating LDL clearance, rather than by reduced lipoprotein production. Association studies with 93 noncoding single-nucleotide polymorphisms (SNPs) at the PCSK9 locus identified 3 SNPs associated with modest differences in plasma LDL-C levels. Thus, a spectrum of sequence variations ranging in frequency (from 0.2% to 34%) and magnitude of effect (from a 3% increase to a 49% decrease) contribute to interindividual differences in LDL-C levels. These findings reveal that PCSK9 activity is a major determinant of plasma levels of LDL-C in humans and make it an attractive therapeutic target for LDL-C lowering.
[73]
Beitelshees AL, Leslie BR, Taylor SI. Sodium-glucose cotransporter 2 inhibitors: a case study in translational research[J]. Diabetes, 2019, 68(6): 1109-1120. DOI: 10.2337/dbi18-0006.
Sodium-glucose cotransporter 2 (SGLT2) inhibitors are the most recently approved class of diabetes drugs. Unlike other agents, SGLT2 inhibitors act on the kidney to promote urinary glucose excretion. SGLT2 inhibitors provide multiple benefits, including decreased HbA, body weight, and blood pressure. These drugs have received special attention because they decrease the risk of major adverse cardiovascular events and slow progression of diabetic kidney disease (1-3). Balanced against these impressive benefits, the U.S. Food and Drug Administration-approved prescribing information describes a long list of side effects: genitourinary infections, ketoacidosis, bone fractures, amputations, acute kidney injury, perineal necrotizing fasciitis, and hyperkalemia. This review provides a physiological perspective to understanding the multiple actions of these drugs complemented by a clinical perspective toward balancing benefits and risks.© 2019 by the American Diabetes Association.
[74]
于磊, 周绪杰, 吕继成, 等. 人胚肾细胞SGLT2基因异源表达体系的构建[J]. 中华肾脏病杂志, 2011, 27(8): 606-610. DOI: 10.3760/cma.j.issn.1001-7097.2011.08.012.
目的 构建钠依赖的葡萄糖转运蛋白2(SGLT2)基因异源表达体系,为探讨突变引起SGLT2蛋白功能及表达异常的分子机制提供实验依据。 方法 利用RT-PCR法从人肾组织中获得SGLT2基因,将该基因克隆到真核表达载体PEXL-GFP(绿色荧光蛋白)中,将携带有SGLT2基因的PEXL载体转染人胚肾细胞系(HEK293细胞),获得目的蛋白的瞬时表达。应用Western印迹及激光共聚焦显微镜检测融合蛋白在HEK293细胞的表达和分布,并通过摄取实验进一步验证SGLT2蛋白的转运功能。 结果 SGLT2-GFP蛋白可在HEK293细胞表达,激光共聚焦显微镜观察发现,SGLT2-GFP蛋白在细胞膜上呈点状分布,并且与细胞膜标记物(DiI)有良好的共定位,转染SGLT2-GFP质粒的HEK293细胞的转运活性较对照组(未转染及转染空质粒细胞组)强约3.5倍(P &lt; 0.01)。 结论 成功构建了SGLT2真核表达载体,为探讨SGLT2基因表达、功能及SGLT2突变在家族性肾性糖尿发病的遗传机制提供了重要的依据。
[75]
王晓慧, 赵向忠, 李春梅, 等. 中国家族性肾性糖尿SGLT2基因突变分析及表型和基因型相关性研究[J]. 中华肾脏病杂志, 2016, 32(1): 1-8. DOI: 10.3760/cma.j.issn.1001-7097.2016.01.001.
目的&nbsp;&nbsp;&nbsp; 总结中国7个家系的家族性肾性糖尿(FRG)患者的临床特点,验证和分析FRG 患者及其亲属Na+-葡萄糖协同转运蛋白2(SGLT2)基因突变位点,探讨FRG患者的基因型和表型的相关关系。 方法&nbsp;&nbsp;&nbsp; 检测7个家系FRG先证者及其一级亲属共23名家庭成员(其中14例患者)24 h尿糖及血尿生化指标。PCR法扩增SGLT2全部编码区及其侧翼序列,用直接测序法分析SGLT2基因突变位点。 结果&nbsp;&nbsp;&nbsp; SGLT2基因测序结果发现5个新的基因突变。包括4个错义突变:8号外显子第335位丝氨酸突变为甘氨酸(p.S335G,c.1003A>G);11号外显子第448位谷氨酰胺突变为精氨酸(p.Q448R,c.1343A>G);474位的丙氨酸突变为脯氨酸(p.A474P,c.1420G>C);13号外显子第580位甘氨酸突变为天冬氨酸(p.G580D,c.1739G>A);1个7号内含子缺失突变c.886(-10_-31)del,该突变经迷你基因(pSPL3外显子捕获质粒)验证为剪切突变。14例患者c.886(-10_-31)del的突变等位基因频率为43%(12/28)。纯合或复合杂合突变的患者表现为中重度肾性糖尿,杂合突变的患者表现为轻中度肾性糖尿,符合共显性遗传特点。 结论&nbsp;&nbsp;&nbsp; 我们发现5种新的突变基因型与中国人群家族性肾性糖尿相关,c.886(-10_-31)del可能为中国人群的高频突变基因。
[76]
望赛, 刘雪梅, 赵向忠, 等. 中国家族性肾性糖尿SGLT2基因突变分析及肾葡萄糖阈值的测定[J]. 中华肾脏病杂志, 2018, 34(11): 816-821. DOI: 10.3760/cma.j.issn.1001-7097.2018.11.003.
目的 分析中国9个家系家族性肾性糖尿(FRG)的致病基因SGLT2,测定先证者及其家族患病成员的肾葡萄糖阈,探讨FRG患者基因型与肾糖阈的相关性。 方法 PCR法扩增SGLT2全部编码区及其侧翼序列,用直接测序法分析 SGLT2 基因突变位点。检测 9个家系 FRG 先证者及其一级亲属共 25位家庭成员(其中21例患者)SGLT2 基因突变、24 h尿糖定量和肾葡萄糖阈(RTG)。比较不同基因型患者肾糖阈的差异。 结果 基因测序分析共发现12个SGLT2突变,其中未被人类基因突变数据库(HGMD)收录的新突变10 个,包括:c.331T>C,p.W111R;c.374T>C,p.M125T;c.394C>T,p.R132C;c.612G>C,p.Q204H;c.829C>T,p.P277S;c.880G>A,p.D294N;c.1129G>A,p.G377S;c.1194C>A,p.F398L;c.1540C>T,p.P514S;c.1573C>T,p.H525Y。中国人群特有的突变c.886(-10_-31)del等位基因突变频率高达28%(5/18)。复合杂合突变患者的RTG较杂合突变患者低[(1.28±0.10)mmol/L比(5.14±0.77)mmol/L,P<0.001];c.886(-10_-31)del携带者的RTG较其他杂合突变携带者低[(4.43±0.37)mmol/L比(5.70±0.51)mmol/L,P<0.001]。 结论 发现10个新的突变基因型与中国人FRG相关,c.886(-10_-31)del可能为中国FRG人群的热点突变。复合杂合突变患者较杂合突变患者表现为更低的RTG。
[77]
Pedigo CE, Ducasa GM, Leclercq F, et al. Local TNF causes NFATc1-dependent cholesterol-mediated podocyte injury[J]. J Clin Invest, 2016, 126(9): 3336-3350. DOI: 10.1172/JCI85939.
High levels of circulating TNF and its receptors, TNFR1 and TNFR2, predict the progression of diabetic kidney disease (DKD), but their contribution to organ damage in DKD remains largely unknown. Here, we investigated the function of local and systemic TNF in podocyte injury. We cultured human podocytes with sera collected from DKD patients, who displayed elevated TNF levels, and focal segmental glomerulosclerosis (FSGS) patients, whose TNF levels resembled those of healthy patients. Exogenous TNF administration or local TNF expression was equally sufficient to cause free cholesterol-dependent apoptosis in podocytes by acting through a dual mechanism that required a reduction in ATP-binding cassette transporter A1-mediated (ABCA1-mediated) cholesterol efflux and reduced cholesterol esterification by sterol-O-acyltransferase 1 (SOAT1). TNF-induced albuminuria was aggravated in mice with podocyte-specific ABCA1 deficiency and was partially prevented by cholesterol depletion with cyclodextrin. TNF-stimulated free cholesterol-dependent apoptosis in podocytes was mediated by nuclear factor of activated T cells 1 (NFATc1). ABCA1 overexpression or cholesterol depletion was sufficient to reduce albuminuria in mice with podocyte-specific NFATc1 activation. Our data implicate an NFATc1/ABCA1-dependent mechanism in which local TNF is sufficient to cause free cholesterol-dependent podocyte injury irrespective of TNF, TNFR1, or TNFR2 serum levels.
[78]
Xu Q, Qiu X, Jiao Z, et al. NFATC1 genotypes affect acute rejection and long-term graft function in cyclosporine-treated renal transplant recipients[J]. Pharmacogenomics, 2017, 18(4): 381-392. DOI: 10.2217/pgs-2016-0171.
To investigate the effects of SNPs in the cyclophilin A/calcineurin/nuclear factor of activated T-cells (NFATs) pathway genes (PPIA, PPP3CB, PPP3R1, NFATC1 and NFATC2) on cyclosporine (CsA) efficacy in renal transplant recipients.Seventy-six tag SNPs were detected in 155 CsA-treated renal recipients with at least a 5-year follow-up. The associations of SNPs with acute rejection, nephrotoxicity, pneumonia and estimated glomerular filtration rate post transplant were explored.NFATC1 rs3894049 GC was a risk factor for acute rejection compared with CC carriers (p = 0.0005). NFATC1 rs2280055 TT carriers had a more stable estimated glomerular filtration rate level than CC (p = 0.0004).Detecting NFATC1 polymorphisms could help predict CsA efficacy in renal transplant patients.
[79]
Rizk DV, Maillard N, Julian BA, et al. The emerging role of complement proteins as a target for therapy of IgA nephropathy[J]. Front Immunol, 2019, 10: 504. DOI: 10.3389/fimmu.2019.00504.
IgA nephropathy (IgAN) is the most common form of primary glomerulonephritis worldwide and a common cause of end-stage renal disease. Evaluation of a kidney biopsy is necessary for diagnosis, with routine immunofluorescence microscopy revealing dominant or co-dominant IgA immunodeposits usually with complement C3 and sometimes IgG and/or IgM. IgA nephropathy reduces life expectancy by more than 10 years and leads to kidney failure in 20-40% of patients within 20 years of diagnosis. There is accumulating clinical, genetic, and biochemical evidence that complement plays an important role in the pathogenesis of IgA nephropathy. The presence of C3 differentiates the diagnosis of IgA nephropathy from the subclinical deposition of glomerular IgA. Markers for the activation of the alternative and mannan-binding lectin (MBL) pathways in renal-biopsy specimens are associated with disease activity and portend a worse renal outcome. Complement proteins in the circulation have also been evaluated in IgA nephropathy and found to be of prognostic value. Recently, genetic studies have identified IgA nephropathy-associated loci. Within these loci are genes encoding products involved in complement regulation and interaction with immune complexes. Put together, these data identify the complement cascade as a rational treatment target for this chronic kidney disease. Recent case reports on the successful use of humanized anti-C5 monoclonal antibody eculizumab are consistent with this hypothesis, but a better understanding of the role of complement in IgA nephropathy is needed to guide future therapeutic interventions.
[80]
Devuyst O, Olinger E, Rampoldi L. Uromodulin: from physiology to rare and complex kidney disorders[J]. Nat Rev Nephrol, 2017, 13(9): 525-544. DOI: 10.1038/nrneph.2017.101.
Uromodulin (also known as Tamm-Horsfall protein) is exclusively produced in the kidney and is the most abundant protein in normal urine. The function of uromodulin remains elusive, but the available data suggest that this protein might regulate salt transport, protect against urinary tract infection and kidney stones, and have roles in kidney injury and innate immunity. Interest in uromodulin was boosted by genetic studies that reported involvement of the UMOD gene, which encodes uromodulin, in a spectrum of rare and common kidney diseases. Rare mutations in UMOD cause autosomal dominant tubulointerstitial kidney disease (ADTKD), which leads to chronic kidney disease (CKD). Moreover, genome-wide association studies have identified common variants in UMOD that are strongly associated with risk of CKD and also with hypertension and kidney stones in the general population. These findings have opened up a new field of kidney research. In this Review we summarize biochemical, physiological, genetic and pathological insights into the roles of uromodulin; the mechanisms by which UMOD mutations cause ADTKD, and the association of common UMOD variants with complex disorders.

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基金

国家自然科学基金(81730017)
国家自然科学基金(81570665)
上海市医学领军人才(2019LJ03)
上海市科学技术委员会科研计划项目(17411950700)
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