JP2009257842A - Examination method of osteoarthritis and diagnostic kit - Google Patents
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本発明は、変形性関節症の検査方法及び診断用キットに関する。 The present invention relates to a method for testing osteoarthritis and a diagnostic kit.
変形性関節症(以下「OA」ともいう)は慢性の関節炎を伴う関節疾患であり、関節の構成要素の退行変性により、軟骨の破壊と、骨及び軟骨の増殖性変化を来す病気である。患者数は年令とともに増加し、60才以上になると膝、肘、股関節、及び脊椎で、80%以上の人に程度の差こそあれ、OAの症状が認められるといわれている。
現在、OAの治療は痛みを抑制する対処療法が中心であることから、関節の退行性変化を抑制する治療方法の開発が求められており、また一方で早期診断の観点から種々の診断方法が検討されている。
Osteoarthritis (hereinafter also referred to as “OA”) is a joint disease with chronic arthritis, and is a disease that causes destruction of cartilage and proliferative changes in bone and cartilage due to degenerative degeneration of joint components. . The number of patients increases with age, and at the age of 60 years or older, it is said that OA symptoms are observed in knees, elbows, hip joints, and vertebrae, with more than 80% of the degree being different.
Currently, treatment of OA is centered on coping therapy that suppresses pain, and therefore development of a treatment method that suppresses degenerative changes in joints is required. On the other hand, various diagnosis methods are required from the viewpoint of early diagnosis. It is being considered.
関節の状態を把握する方法としては、問診の他、視診やX線検査等の形態学的診断が一般的であるが、これらは病気がある程度進行しないと判断できないため、他の診断方法が提案されている。例えば、軟骨基質の分解に伴って関節液中に遊出した軟骨基質成分に着目し、ヒアルロン酸との結合能を有する正常アグリカンを定量して、その他のプロテオグリカンとの関係から正常関節と病態関節を識別する方法(特許文献1)、変形性関節症の軟骨において発現が顕著に増加する遺伝子に注目して、そのタンパク質又はDNAを関節炎の診断マーカーとする方法(特許文献2)、Runx3遺伝子及びタンパク質の発現を解析することによりOAなどの骨・関節関連疾患の診断法又は診断薬(特許文献3)、関節軟骨のN−結合型糖タンパク質糖鎖を分析する工程を含む関節疾患の診断及び/又は治療における有用な情報を提供する方法(特許文献4)が提案されている。
OAの病態評価は、通常、JOA、VAS、WOMACなどのスコアを用いて行われている。これらのスコアは疼痛や症状を評価するには優れているが、患者の主観に左右される可能性がある。一方、OAの病態を客観的に評価するための指標としてヒアルロン酸やアグリカンなどが用いられているが、これらの物質は軟骨以外の組織からも分泌されるため必ずしも軟骨代謝を反映していない。 The pathological evaluation of OA is usually performed using scores such as JOA, VAS, and WOMAC. These scores are excellent for assessing pain and symptoms, but may depend on patient subjectivity. On the other hand, hyaluronic acid, aggrecan, and the like are used as an index for objectively evaluating the pathological condition of OA, but these substances are not necessarily reflected on cartilage metabolism because they are secreted from tissues other than cartilage.
本発明は、OAの研究過程で知見を得たものであり、特定の複数の生体マーカーをそれぞれ変数として用いる判別分析を行うことを特徴とする、新規なOAの検査方法及び診断用キットを提供することを課題とする。 The present invention provides a novel OA testing method and diagnostic kit characterized by performing discriminant analysis using a plurality of specific biomarkers as variables, which have been obtained in the course of OA research. The task is to do.
本発明者らは、鋭意研究を重ねた結果、被検体から得られた生体マーカー6項目:C2C、CTX−II、CPII、NTx、ヒアルロン酸、及びC2C/CPII比をそれぞれ変数として用いて判別分析を行うことによって、良好な精度で簡便かつ客観的にOAの病態評価ができることを見出し、本発明を完成させた。
すなわち、本発明は、
(1)被検体から得られたC2C、CTX−II、CPII、NTx、及びヒアルロン酸の測定値、ならびにC2C/CPII比をそれぞれ変数として用いて判別分析を行うことを特徴とする、変形性関節症の検査方法;及び
(2)被検体から得られたC2C、CTX−II、CPII、NTx、及びヒアルロン酸の測定値、ならびにC2C/CPII比をそれぞれ変数として用いて判別分析を行うことを特徴とする、変形性関節症診断用キットに関する。
As a result of intensive studies, the present inventors have made a discriminant analysis using six biomarkers obtained from a subject: C2C, CTX-II, CPII, NTx, hyaluronic acid, and C2C / CPII ratio as variables. As a result, it was found that the OA pathological condition can be easily and objectively evaluated with good accuracy, and the present invention has been completed.
That is, the present invention
(1) A deformable joint characterized by performing discriminant analysis using measured values of C2C, CTX-II, CPII, NTx, and hyaluronic acid obtained from a subject, and C2C / CPII ratio as variables, respectively. (2) C2C, CTX-II, CPII, NTx, and hyaluronic acid measured values obtained from a subject, and C2C / CPII ratio are used as variables, respectively, and discriminant analysis is performed. And an osteoarthritis diagnostic kit.
本発明によれば、疼痛やX線所見を使用した従来の病態評価と比べて、簡便かつ客観的に、しかも良好な精度でOAの病態評価ができる。すなわち、OAに罹患しているか否かの決定の他に、OAの病期分類や悪性度分類などの病態評価に使用できる。 According to the present invention, compared to conventional pathological evaluation using pain and X-ray findings, pathological evaluation of OA can be performed easily, objectively, and with good accuracy. That is, in addition to the determination of whether or not OA is affected, it can be used for pathological evaluation such as staging and malignancy classification of OA.
本願発明で使用される生体マーカーは、軟骨破壊マーカーであるC2C及びCTX−II、軟骨合成マーカーであるCPII、骨代謝マーカーであるI型コラーゲン架橋N末端ペプチド(NTx)、及びヒアルロンの測定値、ならびにC2C/CPII比の6項目である。
本発明では、例えば、被検体から慣用の手法で生体試料(血清、尿など)を採取し、この生体試料に存在する生体マーカー:C2C、CTX−II、CPII、NTx、及びヒアルロン酸を、慣用の手法、例えば、酵素抗体法(Enzyme Linked immunosorbent Assay)などの免疫学的方法で測定することにより、これら生体マーカーを得てもよい。そして、このようにして得られたC2C及びCPIIの測定値から計算によりC2C/CPII比を得る。
Biomarkers used in the present invention include cartilage destruction markers C2C and CTX-II, cartilage synthesis marker CPII, bone metabolism marker type I collagen cross-linked N-terminal peptide (NTx), and measured values of hyaluron, And 6 items of the C2C / CPII ratio.
In the present invention, for example, a biological sample (serum, urine, etc.) is collected from a subject by a conventional technique, and biomarkers existing in the biological sample: C2C, CTX-II, CPII, NTx, and hyaluronic acid are conventionally used. These biomarkers may be obtained by measurement by an immunological method such as the enzyme antibody method (Enzyme Linked Immunosorbent Assay). Then, the C2C / CPII ratio is obtained by calculation from the measured values of C2C and CPII thus obtained.
本発明では、上述のとおりにして被検体から得られた生体マーカー6項目をそれぞれ変数として用いて判別分析を行う。判別分析は、与えられた個体の持つ複数個の情報をいくつかの要素に分解し、その要素に重み付けをすることによって、その個体がどのグループに属するかを分析する多変量解析の手法であり、広く用いられている。本発明では、この判別分析を用いて、被検体のOAを検査する。 In the present invention, discriminant analysis is performed using the six biomarker items obtained from the subject as described above as variables. Discriminant analysis is a method of multivariate analysis that analyzes which group an individual belongs to by disassembling multiple pieces of information of a given individual into several elements and weighting the elements. Widely used. In the present invention, this discriminant analysis is used to examine the OA of the subject.
本発明の検査は、例えば以下のように行ってもよい。
先ず、OAの病態が評価された、例えば病期分類又は悪性度分類などでグループ分けされた被検体について、前掲生体マーカー6項目を取得し、これに基づき当該グループ間を識別するルールを構築する。次に、そのルールを、新たな被検体に適用して、当該被検体が属するグループを判定する。これによって、従来は、複雑な手法で行っていた被検体の病期分類又は悪性度分類といったOAの病態の評価を、前傾6項目の生体マーカーを用いた判別分析によって容易にかつ良好な精度で行うことができる。
The inspection of the present invention may be performed as follows, for example.
First, for the subjects whose OA pathology has been evaluated, for example, grouped according to staging or malignancy classification, the above-described 6 biomarkers are acquired, and a rule for identifying the groups is constructed based on this. . Next, the rule is applied to a new subject, and the group to which the subject belongs is determined. As a result, it has been possible to easily evaluate OA pathological conditions such as staging or malignancy classification of a subject, which has been conventionally performed by a complicated method, by discriminant analysis using six forward lean biomarkers. Can be done.
本発明において、被検体とは、OAの病態が評価されるヒト又は哺乳類動物などをいう。哺乳類動物として、イヌ及びネコなどの愛玩動物ならびにウシ及びウマなどの家畜が例示される。被検体は、上記ルールを構築する際に使用した動物種と同一種であるべきで、例えば、被検体がヒトである場合、上記ルールはヒトで構築されるべきである。 In the present invention, the subject refers to a human or a mammal that is evaluated for the pathological condition of OA. Examples of mammals include pets such as dogs and cats and livestock such as cows and horses. The subject should be the same species as the animal species used in constructing the rules. For example, if the subject is a human, the rules should be constructed in humans.
本発明で検査又は診断等される変形性関節症は、その発症部位は特に制限されず、膝関節、股関節、肘関節、指関節、足関節、頚椎、脊椎、腰椎などで発症し得る。発症部位は一つと限らず、複数部位で発症し得る。変形性関節症として、変形性膝関節症、変形性腰椎症、変形性股関節症、及び変形性肘関節症などが例示される。本発明の方法で良好な精度でOAの病態を評価ができる点から、変形性膝関節症、変形性腰椎症、及び変形性股関節症が好ましく、特に変形性膝関節症が好ましい。 Osteoarthritis examined or diagnosed in the present invention is not particularly limited in its onset site, and can occur in knee joints, hip joints, elbow joints, finger joints, ankle joints, cervical vertebrae, spine, lumbar vertebrae, and the like. The onset site is not limited to one, and can develop at multiple sites. Examples of osteoarthritis include knee osteoarthritis, lumbar spondylosis, hip osteoarthritis, and elbow arthropathy. From the viewpoint that the pathological condition of OA can be evaluated with good accuracy by the method of the present invention, osteoarthritis of the knee, lumbar spondylosis, and hip osteoarthritis are preferable, and knee osteoarthritis is particularly preferable.
本発明に係る診断用キットは、前述の測定方法による生体マーカー測定用の試薬を含む。本発明の診断用キットは、生体試料の採取用具や調製用具、生体マーカー測定用具、例えば、カラムカートリッジなどを含んでもよい。また、本発明の診断用キットは、判別分析手段、例えば、判別分析の手順を記載した書面や説明書、判別分析の手順をコンピューターに実行させるためのプログラム、当該プログラムリスト、当該プログラムを記録した、コンピューターに読み取り可能な記録媒体(例えば、フレキシブルディスク、光ディスク、CD−ROM、CD−R、及びCD−RWなど)、判別分析を実行する装置又はシステム(コンピューターなど)を含んでもよい。 The diagnostic kit according to the present invention includes a reagent for measuring a biomarker by the measurement method described above. The diagnostic kit of the present invention may include a biological sample collection tool, a preparation tool, a biomarker measurement tool, such as a column cartridge. Further, the diagnostic kit of the present invention records discriminant analysis means, for example, a document or manual describing the procedure of discriminant analysis, a program for causing a computer to execute the discriminant analysis procedure, the program list, and the program. A computer-readable recording medium (for example, a flexible disk, an optical disk, a CD-ROM, a CD-R, and a CD-RW), a device or a system (such as a computer) that performs discriminant analysis may be included.
以下、実施例などを挙げて本発明を更に詳しく具体的に説明するが、本発明はこれらに限定されるものではない。 EXAMPLES Hereinafter, although an Example etc. are given and this invention is demonstrated in more detail concretely, this invention is not limited to these.
1.試験目的
被検体を、医師の診断により、OA患者(膝に痛みがあり、X線で明らかな変形がみられる)、Pre-OA(1)(膝に痛みがあり、X線で変形がみられない)、Pre-OA(2)(膝に痛みがない、X線で明らかな変形がみられる)、及び健常者(膝に痛みがなく、X線で変形がみられない)の4グループに分け(表1)、各グループについて生体マーカーを用いた判別分析を行った。膝の痛みの有無は被検体の自己申告によった。
1. Purpose of the test The subject was diagnosed by a doctor, OA patient (pain in the knee and obvious deformation by X-ray), Pre-OA (1) (pain in the knee and deformation by X-ray) 4 groups: Pre-OA (2) (no pain in the knee, obvious deformation by X-ray), and healthy people (no pain in the knee, no deformation by X-ray) (Table 1), each group was subjected to discriminant analysis using a biomarker. The presence or absence of knee pain was determined by the subject's self-report.
2.試験に使用した生体マーカーの種類とマークする項目
測定されるべき生体マーカーを表2に示した。先ず、被検体から採血及び採尿により血清及び尿をそれぞれ得た。得られた血清中の、C2Cを生化学バイオビジネス株式会社販売の測定キットで、CPIIを生化学バイオビジネス株式会社販売の測定キットで、NTxを持田製薬株式会社販売の測定キット(オステオマークNTx血清、製造:WAMPOLE)で、及びヒアルロン酸を富士レビオ株式会社販売の測定キット(エルピアエースHA、製造:三菱化学ヤトロン)で、それぞれ測定した。得られた尿中の、CTX−IIを住商ファーマ株式会社販売の測定キットで、クレアチニンを第一化学薬品株式会社製造販売の測定キット(ピュアオートS CRE-L)で、それぞれ測定し、そしてクレアチニン補正してCTX−II測定値を得た。このようにして得られたC2C及びCPIIの測定値からC2C/CPII比を計算した(表2)。
2. Table 2 shows the types of biomarkers used in the test and items to be marked. First, serum and urine were obtained from a subject by blood collection and urine collection, respectively. In the obtained serum, C2C is a measurement kit sold by Seikagaku Biobusiness, CPII is a measurement kit sold by Seikagaku Biobusiness, and NTx is a measurement kit sold by Mochida Pharmaceutical Co., Ltd. (Osteomark NTx Serum , Manufactured by WAMPOLE), and hyaluronic acid was measured with a measurement kit (Elpiace A HA, manufactured by Mitsubishi Chemical Yatron) sold by Fujirebio Inc., respectively. In the obtained urine, CTX-II was measured with a measuring kit sold by Sumisho Pharma Co., Ltd., and creatinine was measured with a measuring kit manufactured by Daiichi Chemicals Co., Ltd. (Pure Auto S CRE-L), and creatinine was measured. Corrections were made to obtain CTX-II measurements. The C2C / CPII ratio was calculated from the measured values of C2C and CPII thus obtained (Table 2).
3.判別分析(1)
(ア)被検体
OAが出現しやすい年齢のヒトを被検体として選択した。健常者は年齢58〜80歳(平均68.6±5.8歳)の男性10名と女性15名、膝に痛みはあるが変形がない者(Pre-OA(1))は年齢40〜76歳(平均62.2±10.4歳)の男性4名と女性7名、膝に痛みはないが変形がある者(Pre-OA(2))は年齢59〜81歳(平均68.2±7.4歳)の男性1名と女性5名、OA患者は年齢48〜87歳(平均74.3±9.8歳)の男性7名と女性14名であった(表3)。
3. Discriminant analysis (1)
(A) Subject A person who is likely to appear OA was selected as a subject. Healthy individuals are 10 males and 15 females aged 58 to 80 years (average 68.6 ± 5.8 years), those who have pain in the knee but do not deform (Pre-OA (1)) are 40 to 40 years old Four men and seven women aged 76 years (average 62.2 ± 10.4 years), those with no knee pain but deformed (Pre-OA (2)) age 59-81 years (average 68.68). (2 ± 7.4 years old) 1 male and 5 females, OA patients were 48-87 years old (average 74.3 ± 9.8 years old) 7 males and 14 females (Table 3) .
(イ)結果
4グループの被検体に、生体マーカー6項目「C2C、CPII、C2C/CPII比、CTX−II、NTx、ヒアルロン酸」を変数として用いて判別分析を行った。判別分析はSPSSの判別分析プログラムを用いて実行した。具体的には「SPSSによる統計データ解析」(柳井晴夫・緒方裕光編著、2007年7月3日第2刷発行、現代数学社、京都)に記載の解析例1(248〜257頁)に準じて行った。
分類結果は表4に示した。被検体の痛みの申告及び変形の有無とマーカーからみた判別分析の結果、71.4%が正しく分類できたが、28.6%が正しく分類できなかった。その理由は図1の正準判別関数に示した通り、膝に痛みはないが変形がある者(Pre-OA(2))と健常者がほぼ一致していたためであった。そこで、この2者を同一グループとして再度、判別解析を行った。
(A) Results Discriminant analysis was performed on four groups of subjects using six biomarker items “C2C, CPII, C2C / CPII ratio, CTX-II, NTx, hyaluronic acid” as variables. Discriminant analysis was performed using the SPSS discriminant analysis program. Specifically, according to Analysis Example 1 (pages 248 to 257) described in “Statistical Data Analysis by SPSS” (Hario Yanai, Hiromitsu Ogata, second edition issued July 3, 2007, Hyundai Mathematics, Kyoto) I went.
The classification results are shown in Table 4. As a result of discriminant analysis from the viewpoint of the declaration of pain and deformation of the subject and the marker, 71.4% were correctly classified, but 28.6% could not be correctly classified. The reason is that, as shown in the canonical discriminant function in FIG. 1, those who did not have pain in the knee but had deformation (Pre-OA (2)) and the healthy people almost matched. Therefore, discriminant analysis was performed again with the two groups as the same group.
4.判別分析(2)
(ア)グループ分け
上述のとおり、4グループの被検体を3グループに変更した。Pre-OA(2)(膝に痛みがない、X線で明らかな変形がみられる)と健常者(膝に痛みがなく、X線で変形がみられない)とを同一グループとした。すなわち、OA患者(膝に痛みがあり、X線で明らかな変形がみられる)、Pre-OA(膝に痛みがあり、X線で変形がみられない)、及び痛みがない者(膝に痛みがなく、X線での変形の有無に係わらない)の3グループに分けた(表5)。
4). Discriminant analysis (2)
(A) Grouping As described above, the subjects of 4 groups were changed to 3 groups. Pre-OA (2) (no pain in the knee, apparent deformation by X-ray) and normal subjects (no pain in the knee, no deformation by X-ray) were grouped together. That is, patients with OA (pain in the knee and obvious deformation by X-ray), Pre-OA (pain in the knee and no deformation by X-ray), and those without pain (in the knee) There was no pain and it was divided into 3 groups (table 5).
(イ)被検体
膝に痛みを持たない者は年齢58〜81歳(平均68.5±6.0歳)の男性11名と女性20名、膝に痛みはあるが変形がない者(Pre-OA)は年齢40〜76歳(平均62.2±10.4歳)の男性4名と女性7名、OA患者は年齢48〜87歳(平均74.3±9.8歳)の男性7名と女性14名であった(表6)。
(A) Subject Eleven persons who have no pain in the knee are 58 to 81 years old (average 68.5 ± 6.0 years old) and 20 females, who have pain in the knee but do not deform (Pre -OA) are 4 males and 7 females aged 40-76 years (average 62.2 ± 10.4 years), and OA patients are males 48-87 years old (average 74.3 ± 9.8 years) There were 7 and 14 women (Table 6).
(ウ)判別分析の結果
3グループの被検体に、生体マーカー6項目「C2C、CPII、C2C/CPII比、CTX−II、NTx、ヒアルロン酸」を変数として用いて、前述の判別分析(1)のとおりに、判別分析を行った。その結果、被検体の痛みの申告及び変形の有無とマーカーからみた判別分析の結果、92.1%が正しく分類されることが分かった(表7、図2)。
(C) Results of discriminant analysis The above-mentioned discriminant analysis (1) was performed on three groups of subjects using six biomarkers, “C2C, CPII, C2C / CPII ratio, CTX-II, NTx, hyaluronic acid” as variables. Discriminant analysis was performed as shown in the figure. As a result, it was found that 92.1% was correctly classified as a result of discriminant analysis from the viewpoint of the declaration of pain of the subject, the presence or absence of deformation and the marker (Table 7, FIG. 2).
本発明の方法及び診断用キットは、OAの鑑別、病態などの評価、及び診断に利用できる。
また、本発明の方法は変形性関節症の治療又は予防薬のスクリーニングにも利用できる。
The method and diagnostic kit of the present invention can be used for OA discrimination, pathological evaluation, and diagnosis.
The method of the present invention can also be used for screening for a therapeutic or prophylactic agent for osteoarthritis.
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CN111163791A (en) * | 2017-09-29 | 2020-05-15 | 默克专利有限公司 | Metabolic biomarkers predictive of reactivity to FGF-18 compounds |
JP2022511305A (en) * | 2018-09-10 | 2022-01-31 | メルク パテント ゲゼルシャフト ミット ベシュレンクテル ハフツング | Useful markers in enrichment strategies for the treatment of osteoarthritis |
KR20220033336A (en) * | 2020-09-09 | 2022-03-16 | 아주대학교산학협력단 | Biomarker composition for diagnosis or predicting prognosis of temporomandibular joint osteoarthritis |
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JP2006501479A (en) * | 2002-09-30 | 2006-01-12 | シュライナーズ・ホスピタル・フォー・チルドレン | Collagen peptide ratios, their use and products |
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JP2006501479A (en) * | 2002-09-30 | 2006-01-12 | シュライナーズ・ホスピタル・フォー・チルドレン | Collagen peptide ratios, their use and products |
WO2006036662A2 (en) * | 2004-09-27 | 2006-04-06 | Intel Corporation | Feed forward equalizer for a communication system |
JP2007051077A (en) * | 2005-08-17 | 2007-03-01 | Nippon Barrier Free:Kk | Composition for prevention and treatment of osteoarthritis |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN111163791A (en) * | 2017-09-29 | 2020-05-15 | 默克专利有限公司 | Metabolic biomarkers predictive of reactivity to FGF-18 compounds |
JP2020535436A (en) * | 2017-09-29 | 2020-12-03 | メルク パテント ゲゼルシャフト ミット ベシュレンクテル ハフツングMerck Patent Gesellschaft mit beschraenkter Haftung | Metabolic biomarkers that predict reactivity to FGF-18 compounds |
US11513128B2 (en) | 2017-09-29 | 2022-11-29 | Merck Patent Gmbh | Metabolic biomarkers for predicting responsiveness to FGF-18 compound |
JP2022511305A (en) * | 2018-09-10 | 2022-01-31 | メルク パテント ゲゼルシャフト ミット ベシュレンクテル ハフツング | Useful markers in enrichment strategies for the treatment of osteoarthritis |
KR20220033336A (en) * | 2020-09-09 | 2022-03-16 | 아주대학교산학협력단 | Biomarker composition for diagnosis or predicting prognosis of temporomandibular joint osteoarthritis |
KR102384149B1 (en) | 2020-09-09 | 2022-04-08 | 아주대학교산학협력단 | Biomarker composition for diagnosis or predicting prognosis of temporomandibular joint osteoarthritis |
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