JP2020520447A - 個人仕様の栄養を可能にする方法 - Google Patents
個人仕様の栄養を可能にする方法 Download PDFInfo
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Abstract
Description
i)当該1人の対象又は対象群から、1つ以上の代謝及び/又は栄養学的マーカMの0、1、又はそれ以上の値を測定するステップと、
ii)ステップi)の1つ以上のマーカMに関して測定した0、1、又はそれ以上の値に関して適応性ベイジアンモデルを適用して、当該1人の対象又は対象群における、各マーカMに対する予測値の個別分布を導出するステップと、
iii)当該個別分布から、各マーカMの所与の特異性レベルに対するいくつかの個別参照Z値、及び個別の参照範囲を導出するステップと、
iv)当該1人の対象又は対象群において、1つ以上のマーカMに対する1つ以上の追加の値を測定するステップと、
v)当該1つ以上の測定値を、当該1つ以上の個別参照Zスコア及び個別参照範囲と比較するステップであって、当該1つ以上の個別参照Zスコア及び範囲からの、当該1つ以上の測定値の偏差は、当該1人の対象又は対象群における、特異的な栄養学的必要条件を示す、比較するステップと、
vi)当該栄養学的必要条件を対処する栄養推奨を提供するステップと、を含む方法に関する。
a.所与の栄養素に関して個別参照範囲を導出するために、測定した代謝及び/又は栄養マーカ量に統計的方法を適用するステップと、
b.当該1人の対象又は対象群における栄養学的必要条件を画定するために、1つ以上の追加代謝及び/又は栄養マーカ値の測定を、個別参照範囲と比較するステップと、
c.当該栄養学的必要条件を対処する推奨を提供するステップと、
d.個別参照範囲の外にある、測定した代謝及び/又は栄養マーカ値の偏差を、個別参照範囲内に戻る値に訂正するために、個人仕様の栄養管理ソリューションを当該1人の対象又は対象群に提供するステップと、を含む方法に関する。
i)当該1人の対象又は対象群から、1つ以上の代謝及び/又は栄養学的マーカMの0、1、又はそれ以上の値を測定するステップと、
ii)ステップi)の1つ以上のマーカMに関して測定した0、1、又はそれ以上の値に関して適応性ベイジアンモデルを適用して、当該1人の対象又は対象群における、各マーカMに対する予測値の個別分布を導出するステップと、
iii)当該個別分布から、各マーカMの所与の特異性レベルに対するいくつかの個別参照Z値、及び個別の参照範囲を導出するステップと、
iv)当該1人の対象又は対象群において、1つ以上のマーカMに対する1つ以上の追加の値を測定するステップと、
v)当該1つ以上の測定値を、当該1つ以上の個別参照Zスコア及び個別参照範囲と比較するステップであって、
当該1つ以上の個別参照Zスコア及び範囲からの、当該1つ以上の測定値の偏差は、当該1人の対象又は対象群における、特異的な栄養学的必要条件を示すものである、ステップと、
vi)当該栄養学的必要条件を対処する栄養推奨を提供するステップと、
を含む方法に関する。
a.所与の栄養素に関して個別参照範囲を導出するために、測定した代謝及び/又は栄養マーカ量に関して統計的方法を適用するステップと、
b.当該1人の対象又は対象群における栄養学的必要条件を画定するために、1つ以上の追加の代謝及び/又は栄養マーカ値の測定を、個別参照範囲と比較するステップと、
c.当該栄養学的必要条件を対処する推奨を提供するステップと、
d.個別参照範囲の外にある、測定した代謝及び/若しくは栄養マーカ、又は追加の機能マーカ値の偏差を、個別参照範囲内に戻る値に訂正するために、個人仕様の栄養管理ソリューションを当該1人の対象又は対象群に提供するステップと、を含む方法が提供される。
酪酸C4:0;カプロン酸C6:0;カプリル酸C8:0;カプリン酸C10:0;ウンデカン酸C11:0;ラウリン酸C12:0;トリデカン酸C13:0;ミリスチン酸C14:0;ペンタデカン酸C15:0;パルミチン酸C16:0;ヘプタデカン酸C17:0;ステアリン酸C18:0;アラキジン酸C20:0;ヘンイコサノン酸C21:0;ベヘン酸C22:0;リグノセリン酸C24:0;ミリストレイン酸C14:1 n−5;cis−10−ペンタデセノン酸C15:1 n−5;パルミトレイン酸C16:1 n−7;cis−10−ヘプタデセノン酸C17:1 n−7;エライジン酸C18:1 n−9 trans;オレイン酸C18:1 n−9 cis;cis−11−エイコセン酸C20:1 n−9;エルカ酸C22:1 n−9;ネルヴォン酸C24:1 n−9;リノール酸C18:2 n−6 trans;リノレン酸C18:2 n−6 cis;γ−リノレン酸C18:3 n−6;αーリノレン酸C18:3 n−3;Cis−11,14−エイコサジエノン酸C20:2 n−6;Cis−8,11,14−エイコサトリエノン酸C20:3 n−6;Cis−11,14,17−エイコサトリエノン酸20:3 n−3;アラキドン酸C20:4 n−6;cis−13,16−ドコサジエノン酸22:2 n−6;cis−5,8,11,14,17−エイコサペンタン酸(EPA) C20:5 n−3;cis−4,7,10,13,16,19−ドコサヘキサエン酸(DHA)C22:6 n−3
2−ケト酪酸;3−メチル−2−オキソ酪酸;3−メチル−2−オキソペンタン酸;4−メチル−2−オキソペンタン酸
Li;B;Mg;Al;P;S;K;Ca;Ti;V;Cr;Mn;Fe;Co;Ni;Cu;Zn;As;Se;Br;Rb;Sr;Mo;Cd;Sn;I;Cs;Hg;Pb
栄養マーカリスト6:脂溶性ビタミン
血圧;睡眠の質;心拍;内皮機能;腎臓機能;疲労;筋肉の弱さ;認知機能;味覚;触覚;視覚;性機能;運動からの回復;VO2maxなどの身体パフォーマンス;水和;タンパク同化/異化バランス;及び酸化ストレス。
アルゴリズム
マーカの個体間及び個体内変化量が、正規分布により十分に表されることが知られている特別な場合に、単純なアルゴリズムを用いて本方法を適用することができる。手順及びアルゴリズムを表1に示す。そうでなければ、本方法を実行するのに、ベイジアン推論技術が必要である。
A=0.0032
B=0.8
X1=1/(1/0.0032+1/0.0017)=0.0011
X2=0.0011*0.8/0.0032+0.0011*0.86/0.0017=0.84
PRED_ME=0.84
PRED_VAR=0.0011+0.0017=0.0028
A=0.0011
B=0.84
X1=1/(1/0.0011+1/0.0017)=0.00067
X2=0.00067*0.84/0.0011+0.00067*0.85/0.0017=0.84
PRED_ME=0.84
PRED_VAR=0.00067+0.0017=0.0023
個人仕様の範囲
多量のホモシステインは、心臓血管疾患、血栓症、神経精神医学的疾患、免疫不全、及び腎疾患を含む広範囲の疾患の危険因子である。母集団に基づくホモシステインの参照範囲は、年齢、性別、及び民族性などの異質的要素に大きく依存することが知られている。ホモシステインの代謝異常、特に、ホモシステインの再メチル化の、及び硫黄転換作用の酵素に対してエンコードする遺伝子に関する遺伝多様体(例えば、677C>T及び1298C>T機能性多型を含む、5,10−メチルテトラヒドロフォレート還元酵素(MTHFR)遺伝子に関する多様体)における異常は、多量のホモシステインと関連付けられてきた(Brustolin et al,Braz J Med Biol Res.2010;43(1):1−7)。これらの理由により、ホモシステインの個別性指数は非常に低く、個人内の変化量よりも個人間の変化量が著しく高いことが知られている。
栄養素レベルでの遺伝多型の影響
α−トコフェロールは、ビタミンEの最も生物学的に活性な形態である。脂溶性酸化防止剤として、α−トコフェロールは膜及び血漿リポタンパク質内のフリーラジカルをスカベンジすることができる。血液中でのα−トコフェロールの濃度は、腸により分泌されるアポタンパクをエンコードするアポリポタンパク質(Apo)A−IV遺伝子、リポタンパク質クリアランスをエンコードするApo E遺伝子、及び、細胞膜を通して脂質を取り込むことに関与する膜タンパク質をエンコードする、スカベンジャー受容体クラスB I型(SR−BI)遺伝子を含む、複数の遺伝多型に依存することが知られている。
L−カルニチンを含む個人仕様の栄養管理ソリューション
カルニチンは、エネルギー代謝及びミトコンドリア保護に関与する物質である。尿でのカルニチンの排泄増加をもたらすSLC22A5遺伝子によりコードされるOCTN2における遺伝多型が原因で、カルニチン量の欠乏が遺伝される可能性がある。脂肪酸代謝における役割を考慮すると、カルニチンの補充は、活動的なヒト、特にアスリートにおいて一般的なことである。図6は25歳の男性アスリートにおける、血液L−カルニチンレベルのモニタリングを示す。7番目の値が個別参照範囲を下回り、母集団に基づく範囲内にとどまっているものの、L−カルニチンを含有する食料品、飲料、又はサプリメントが、この対象には推奨され得る。
カリウムを含む個人仕様の栄養管理ソリューション
健康な対象群において、カリウム量をモニタリングした。図7は、ベイジアンモデルの結果(破線)と共に、1人の対象におけるカリウム量(実線)を示す。この対象は、個別参照範囲を下回るいくつかの値を示すが、このことは、循環カリウム量の著しい増加を示す。カリウムを含有する食料品、飲料、又はサプリメントが、この対象には推奨され得る。
鉄状態の機能マーカ
鉄スコア、循環鉄、及び血液学的パラメータの測定値を使用して、炎症性疾患、寄生虫感染、及び肥満を有しない健康なヒトにおける鉄の状態を評価し得る。血清フェリチン(鉄貯蔵タンパク質)、血清鉄、鉄結合の全能力、及びトランスフェリン(血液中での主たる鉄のキャリア)の飽和を測定して、鉄の状態を評価することができる。可溶性トランスフェリン受容体(sTfR)もまた、鉄の貯蔵が枯渇したときの鉄状態の指標として使用することができる。ヘモグロビン濃度、平均血球ヘモグロビン濃度、赤血球の平均赤血球容積、及び網状赤血球ヘモグロビン含有量を含む血液学的マーカが、貧血が存在するときに異常を検出するのに役立つことができる。
他のマーカレベルの測定
図9は、高HDL及び高ビタミンAを有する第1の対象のプロファイル(図9A及び9B)、並びに、中〜低HDL、及び中〜低ビタミンAを有する第2の対象のプロファイル(図9C及び9D)を示す。本発明の方法の実用性を、図10及び11に更に示す。これらは、2つの脂溶性ビタミン、2つの水溶性ビタミン、2つのアミノ酸、2つの無機質、2つの脂肪酸、及び2つの機能マーカの測定を示す。図10は、対象におけるマグネシウム、カリウム、C182n6、C205n3、HDL、及びLDLの量を示す。図11は、同じ対象におけるビタミンB12、葉酸、α−トコフェロール、γ−トコフェロール、メチオニン、及びトリプトファンの量を示す。
HDL/LDL比、HDL/コレステロール比、HDL、及び全ての変数の相関
HDL/LDL比、HDL/コレステロール比、HDL及び全ての変数の相関を、個体レベルで測定した。このような相関のR値(即ち、エフェクトサイズ)もまた測定した。
Claims (15)
- 1人の対象又は対象群における、栄養学的必要条件及び栄養学的ガイダンスの個別化を通しての、個人仕様の栄養を可能にする方法であって、
i)前記1人の対象又は対象群から、1つ以上の代謝及び/又は栄養学的マーカMの0、1、又はそれ以上の値を測定するステップと、
ii)ステップi)の1つ以上のマーカMに関して測定した0、1、又はそれ以上の値に関して適応性ベイジアンモデルを適用して、前記1人の対象又は対象群における、各マーカMに対する予測値の個別分布を導出するステップと、
iii)前記個別分布から、各マーカMの所与の特異性レベルに対するいくつかの個別参照Z値、及び個別の参照範囲を導出するステップと、
iv)前記1人の対象又は対象群において、1つ以上のマーカMに対する1つ以上の追加の値を測定するステップと、
v)前記1つ以上の測定値を、前記1つ以上の個別参照Zスコア及び個別参照範囲と比較するステップであって、
前記1つ以上の個別参照Zスコア及び範囲からの、前記1つ以上の測定値の偏差は、前記1人の対象又は対象群における、特異的な栄養学的必要条件を示すものである、比較するステップと、
vi)前記栄養学的必要条件を対処する栄養推奨を提供するステップと、
を含む方法。 - 前記1つ以上のマーカMの0、1、又はそれ以上の値は、1人のヒト対象又はヒト対象群から測定される、請求項1に記載の方法。
- 前記1つ以上のマーカMの遺伝多型、又は前記1人の対象又は対象群における特異的な生理学的状態と関連した、特異的なヌクレオチド配列の有無が、ステップi)の前記1つ以上の値から推定される、請求項1又は2に記載の方法。
- 前記1人の対象又は対象群における、マーカポリポタンパク質EのE2多様体の存在が、測定したα−トコフェロール量から推定される、請求項3に記載の方法。
- 前記1つ以上の個別参照Zスコアからの前記1つ以上の測定値、並びに所与の栄養素及び/又は微量栄養素及び/又は追加のマーカの個別参照範囲の偏差が、ステップv)における特定の栄養学的必要条件を示す、請求項1〜4のいずれか一項に記載の方法。
- 前記マーカMは脂肪酸、アミノ酸、有機酸、無機質、水溶性ビタミン、脂溶性ビタミン、並びに代謝及び/又は栄養状態の他の指標から選択される、請求項1〜5のいずれか一項に記載の方法。
- 前記マーカMは代謝及び/又は栄養マーカリスト1、2、3、4、5、6、7、及び8から選択される、請求項1〜6のいずれか一項に記載の方法。
- 前記マーカMは代謝及び/又は栄養マーカリスト1a、2a、4a、5a、6a、及び7aから選択される、請求項1〜7のいずれか一項に記載の方法。
- 前記1つ以上のマーカMの0、1、又はそれ以上の値は、血液、血清、血漿、赤血球、白血球、尿、唾液、皮膚スワブ、毛髪、水様液、又は汗の1つ以上で測定される、請求項1〜8のいずれか一項に記載の方法。
- 前記1つ以上のマーカMの0、1、又はそれ以上の値は血液で測定される、請求項9に記載の方法。
- 1人の対象又は対象群における個人の栄養素及び微量栄養素量を維持する方法であって、
a.所与の栄養素に関して個別参照範囲を導出するために、測定した代謝及び/又は栄養マーカ量に統計的方法を適用するステップと、
b.前記1人の対象又は対象群における栄養学的必要条件を画定するために、1つ以上の追加代謝及び/又は栄養マーカ値の測定を、個別参照範囲と比較するステップと、
c.前記栄養学的必要条件に取り組む推奨を提供するステップと、
d.個別参照範囲の外にある、測定した代謝及び/又は栄養マーカ値の偏差を、個別参照範囲内に戻る値に訂正するために、個人仕様の栄養管理ソリューションを前記1人の対象又は対象群に提供するステップと、
を含む方法。 - 前記統計学的方法は適応性ベイジアンモデルである、請求項11に記載の方法。
- 前記個人仕様の栄養管理ソリューションは食料品、飲料、及び/又はサプリメントである、請求項11又は12に記載の方法。
- 適応性ベイジアンモデルを用いて、1人のヒト対象又は対象群の個別参照範囲を取得する方法であって、特定の栄養の必要性は前記範囲に基づいて特定され、これらの栄養の必要性を満たす特定の組成を有する食料品、飲料、又はサプリメントが、前記1人の対象又は対象群に提供される、方法。
- 栄養推奨及び/又は個人仕様の栄養管理ソリューションを、請求項1〜14に記載の方法に従って、必要とする1人の対象又は対象群に提供するデバイス、システム、又は装置。
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