IDAEO知識庫

🏛 Part of the "health" topic shelf

Is the Weight Lost Fat or Muscle? Four Separate Questions — Two Answered, One Not

"Do these drugs take muscle with the fat?" is the most common question about this class, and most answers online sit at one of two extremes: "it's all fat" or "it causes sarcopenia". The actual evidence separates into four layers. Lean mass does fall in absolute terms, confirmed by dual-energy X-ray absorptiometry[F2][F4]. "All of the loss is fat" is disproved by that same data[F5]. Lean mass falling in absolute terms while rising as a proportion of body weight are both true at once, and they do not contradict each other[F4]. Whether any of this amounts to sarcopenia or functional harm has no answer in the data cited here, because neither study measured muscle strength, walking speed, or falls at any point[F1][F3], and a sarcopenia diagnosis rests on low muscle strength as its key characteristic[F7]. This article separates the four layers and marks the strength of evidence and measurement boundary for each.

1. One question is really four questions

"Is the weight lost fat or muscle?" sounds like a single question, but answering it requires splitting it into four independent ones:

  1. Does the absolute amount of lean mass (lean mass / fat-free mass) fall?
  2. Of the weight that is lost, how much is fat and how much is lean mass?
  3. Does lean mass rise or fall as a proportion of total body weight?
  4. Do any of these changes produce loss of strength, reduced mobility, or sarcopenia?

The two body-composition studies cited here measured the first three directly. They measured none of the fourth. That is the single most important sentence in this article.

2. Layer one (established): the absolute amount of lean mass falls

The phase 3 tirzepatide trial SURMOUNT-1 included a body-composition substudy that used dual-energy X-ray absorptiometry (DXA), scanning at baseline and again at week 72[F1].

The results: change in body weight, fat mass, and lean mass from baseline to week 72 was −21.3%, −33.9%, and −10.9% in the treatment group and −5.3%, −8.2%, and −2.6% in the placebo group, with p values below 0.001 for all comparisons[F2].

The semaglutide trial STEP 1 also carried an exploratory DXA analysis, measuring at week 68[F3]. In the treatment group, body weight changed by −15.0% (placebo −3.6%), total fat mass by −19.3%, visceral fat by −27.4%, and total lean mass by −9.7%[F4].

The two datasets point the same way: the absolute amount of lean mass does fall, and not by a small margin. This layer is not in dispute.

3. Layer two (disproved): "all of the loss is fat" does not hold

A wooden tray holds grain raked into one flat layer of even depth. A slim wooden divider splits it into two sections of the same depth: the left is about three times the length of the right. A wooden scraper rests beside the tray.
Of the weight lost, roughly 75% is fat and 25% is lean mass — not all of it is fat.

Those numbers directly overturn a widely repeated claim.

The SURMOUNT-1 body-composition substudy states it plainly:

Of the body weight lost, approximately 75% was fat mass and 25% was lean mass for both tirzepatide and placebo.[F5]

That is, of the weight lost, roughly 75% was fat and 25% was lean mass, and the proportion was similar in the treatment and placebo groups. The same paper ran post hoc analyses stratified by sex, age, and degree of weight reduction, and concluded that the proportion held steady across most subgroups[F5].

"All of the loss is fat" cannot survive contact with DXA measurement.

But the reverse point matters just as much: the placebo group's proportion was also 75/25[F5]. What that establishes is that lean mass falling alongside weight loss is not confined to the treated group — the placebo group showed a similar proportion. What it does not establish is that the drug therefore plays no part. The placebo group contained only 36 people[F1], and this substudy performed no mediation or mechanistic analysis, so it cannot estimate whether, at an identical degree of total weight loss, the drug itself contributes anything further. Answering that would require evidence across trials and across intervention types, which the data cited here does not contain.

4. Layer three: absolute amount down, proportion up — both true at once

Two glass tumblers stand side by side on a windowsill, both containing much less liquid than before, marked by a faint tidemark high on the glass; in the right-hand tumbler, a layer of fine sediment now visibly occupies a greater share of what remains.
The denominator — total body weight — is shrinking too, and the numerator shrinks even faster, so the ratio between them can appear to rise.

This is the layer where each side most easily picks out half the numbers and argues.

The STEP 1 DXA analysis reported absolute amounts and proportions together. In absolute terms, total lean mass fell 9.7%; but as a proportion of total body weight, lean mass rose by 3.0 percentage points, while total fat mass fell 3.5 percentage points and visceral fat fell 2.0 percentage points as proportions[F4]. The ratio of lean mass to fat mass rose from a baseline of 1.34 (95% CI 1.22–1.47) by 0.23 (95% CI 0.14–0.32)[F4].

These two sets of figures do not contradict each other. The numerator got smaller, but the denominator got smaller still, so the proportion went up. People arguing that muscle is preserved tend to quote the proportion; people arguing that muscle is being lost in quantity tend to quote the absolute amount. Both sides are quoting real numbers. The error is quoting only half.

The complete and correct statement is this: the absolute amount of lean mass fell, but by less than fat mass fell, so its share of body weight rose.

5. Layer four (unresolved): does this amount to sarcopenia?

A corridor has a handrail along one wall; on a bench sit a grip-strength dynamometer, a stopwatch, and a walking cane, all three neatly covered with a draped cloth, unused.
These trials did not measure grip strength, walking speed, or falls, so the real-world effect of lean-mass loss on daily function remains unknown.

This is where the article has to be blunt: the data needed to answer that question is not present in either of these two studies.

There are three reasons, and they sit at three different levels.

Reason one: DXA measures "lean mass", not "muscle". An open-access paper devoted to this distinction sets out a five-level model of body composition (atomic, molecular, cellular, tissue/organ, whole body). "Fat-free mass" belongs to the molecular level and "skeletal muscle" to the tissue/organ level; the two are frequently conflated but are not the same thing[F6]. The lean mass DXA registers includes organs, water, and connective tissue, not skeletal muscle alone.

Reason two: sarcopenia is not diagnosed by mass. Under the European Working Group's revised 2019 consensus, the diagnostic framework focuses on low muscle strength as the key characteristic, uses low muscle quantity and quality to confirm the diagnosis, and treats poor physical performance as the indicator of severe sarcopenia[F7]. Low strength is the primary parameter; muscle quantity is only the confirmatory secondary one. So DXA mass figures alone do not even reach the first step of that diagnostic pathway.

Reason three: neither study measured function at all. The SURMOUNT-1 substudy assessed body-composition parameters, analysed by analysis of covariance, logistic regression, or Fisher's exact test[F1]; the STEP 1 DXA analysis measured total fat mass, total lean mass, and regional visceral fat mass[F3]. Neither includes grip strength, walking speed, chair-rise testing, or falls. What is not measured does not appear in the results — this is not a flaw in the studies, it is that they were answering a different question.

So the question of whether this class of drug causes sarcopenia or functional harm has, as of the verification date, no answer in the two datasets cited here. That is an entirely different sentence from "it has been shown to be safe", and equally different from "it has been shown to be harmful".

6. The two studies report different lean-mass numbers, and that is not a contradiction either

An attentive reader will notice one says −10.9% and the other says −9.7%. These two numbers cannot be compared directly, for at least four reasons, each of which alone would be enough to produce the difference.

Different drugs. One measured tirzepatide, the other semaglutide 2.4 mg[F3]. These are two different molecules.

Different time points. One measured to week 72, the other to week 68[F1][F3].

Different degrees of weight loss. Body weight change in the treated groups was −21.3% and −15.0% respectively[F2][F4]. Lean-mass change naturally varies with how much weight came off — which is precisely what the 75/25 proportion in layer two is describing.

Different measurement and analysis settings. In the STEP 1 analysis, visceral fat was derived according to each site's scanner methodology, calculated in the L4 region, the android region in men, or the gynoid region in women[F3]; the analysis models in the two studies also differ[F1][F3].

The correct reading is therefore: both datasets stand on their own and point the same way, but they are not two marks on one ruler. Placing −10.9% next to −9.7% and inferring which drug better preserves muscle is an inference with no foundation.

7. The ceiling on the DXA data itself

Several limits have to be stated whenever these datasets are cited.

The samples are small. The SURMOUNT-1 body-composition substudy had only 160 participants (124 pooled across treatment arms, 36 on placebo) out of a parent trial of 2,539[F1]. The STEP 1 DXA analysis had only 140 (95 on semaglutide, 45 on placebo) out of a parent trial of 1,961[F3]. Both are small slices of their parent trials.

They are exploratory or post hoc. The SURMOUNT-1 substudy's subgroup analyses are explicitly labelled post hoc[F1]; the STEP 1 analysis is exploratory and was published as a society conference abstract in a journal's abstract supplement[F3]. Abstract-form reporting differs in detail from a full paper.

The substudy had entry conditions. The STEP 1 DXA substudy enrolled only participants with a BMI no higher than 40, and only 9 trial sites took part[F3]. Those conditions shape who the results can represent.

Neither is an open-access full paper. The sources section provides, for both the SURMOUNT-1 body-composition paper and the STEP 1 abstract, a route a reader can genuinely open.

8. What this article does not answer

  • It does not answer "what can be done to lose less lean mass". The body-composition paper mentioned above raises resistance training and higher protein intake as directions, but it is a conceptual discussion, not the result of an intervention trial[F6]. This article does not present it as a course of action.
  • It does not answer individual cases. Everything above is a group mean, and individual variation is not fully presented in these summaries.
  • It does not cover the long term. The two DXA measurements stop at week 72 and week 68; longer-term body-composition change is not in the data.
  • It does not cover what happens after stopping. How body weight behaves after discontinuation is a separate question, covered in another article in this series: 停藥之後. How body composition behaves after stopping is not covered by either dataset found here.

This article belongs to the GLP-1 Evidence Series. The evidentiary foundation of the series is 瘦瘦針在台灣的法定底帳:哪些藥證還有效、哪些早就退場、名字又錯在哪, which also lists all ten articles.

This article is a review of published literature and does not constitute medical advice.

Citations, one by one

Every `[F<n>]` marker in the text corresponds to one definition below. Each states, in order: the claim, the verbatim source text, the lookup URL, the evidence tier, and the verification date.

  • [F1]|SURMOUNT-1 體組成子研究以 DXA 在基期與第 72 週量測,納入 160 人(用藥合併 124、安慰劑 36),母試驗 2,539 人;次族群分析為事後分析|Substudy participants (n = 160 of the 2539 in SURMOUNT-1) underwent dual-energy X-ray absorptiometry (DXA) at baseline and Week 72. Body composition parameters were evaluated by analysis of covariance, logistic regression or Fisher's exact test. Post hoc subgroup analyses were conducted by sex (female or male), age (<50, 50 to <65, or ≥65 years) and total body weight reduction tertiles|https://www.ebi.ac.uk/europepmc/webservices/rest/search?format=json&query=EXT_ID:39996356%20AND%20SRC:MED(resultType=core 的 abstractText 欄)|peer_reviewed|2026-08-26
  • [F2]|體重、脂肪量、瘦體重自基期至第 72 週變化:用藥組 −21.3%/−33.9%/−10.9%,安慰劑組 −5.3%/−8.2%/−2.6%|The change in body weight, fat mass and lean mass from baseline to Week 72 was -21.3%, -33.9% and -10.9% with tirzepatide and -5.3%, -8.2% and -2.6% with placebo, respectively (p < 0.001 for all comparisons).|同 F1|peer_reviewed|2026-08-26
  • [F3]|STEP 1 體組成分析納入 140 人(用藥 95、安慰劑 45),僅收 BMI 不超過 40 者、9 個試驗地點,母試驗 1,961 人;為探索性分析|This analysis of the STEP 1 trial evaluated the impact of subcutaneous (s.c.) semaglutide, a glucagon-like peptide-1 analogue, on body composition in adults with overweight/obesity using dual energy X-ray absorptiometry (DEXA)./In STEP 1, 1961 adults aged ≥18 years with body mass index (BMI) ≥27 kg/m2 with ≥1 weight-related comorbidity or BMI ≥30 kg/m2, without diabetes, were randomized to s.c. semaglutide 2.4 mg once-weekly or matched placebo (2:1) for 68 weeks, plus lifestyle intervention./Participants with BMI ≤40 kg/m2 from 9 sites were eligible for the substudy./This analysis included 140 participants (semaglutide n=95; placebo n=45)|https://www.ebi.ac.uk/europepmc/webservices/rest/search?format=json&query=PMCID:PMC8089287|peer_reviewed|2026-08-26
  • [F4]|STEP 1:體重 −15.0%(安慰劑 −3.6%)、總脂肪量 −19.3%、內臟脂肪 −27.4%、總瘦體重 −9.7%;脂肪占比降 3.5 個百分點、內臟脂肪占比降 2.0 個百分點、瘦體重占比升 3.0 個百分點;瘦體重與脂肪量比值自 1.34(95% CI 1.22, 1.47)上升 0.23(95% CI 0.14, 0.32)|Percentage change in body weight from baseline to week 68 was -15.0% with semaglutide vs -3.6% with placebo. This resulted in reductions from baseline with semaglutide in total fat mass (-19.3%) and regional visceral fat mass (-27.4%), leading to 3.5%-point and 2.0%-point reductions in the proportions of total fat mass and visceral fat mass, respectively. Total lean body mass decreased from baseline (-9.7%); however, the proportion relative to total body mass increased by 3.0%-points./the ratio increased from baseline (1.34 [95% CI: 1.22, 1.47]) to week 68 by 0.23 [0.14, 0.32]|同 F3|peer_reviewed|2026-08-26
  • [F5]|減掉的體重中約 75% 為脂肪、25% 為瘦體重,用藥組與安慰劑組相近,且此比例在多數次族群一致|Of the body weight lost, approximately 75% was fat mass and 25% was lean mass for both tirzepatide and placebo. These proportions remained consistent across most subgroup analyses.|同 F1|peer_reviewed|2026-08-26
  • [F6]|「去脂體重」與「骨骼肌」屬於體組成五層模型的不同層次,常被混用但不等同;該文並討論阻力訓練與提高蛋白質攝取兩個方向|While often conflated, distinctions between body components established by different levels of the 5-level model of body composition-which partitions body mass according to the atomic, molecular, cellular, tissue/organ, or whole-body level-are essential to recall when interpreting the composition of weight loss./Finally, selected countermeasures to combat loss of FFM and skeletal muscle, namely resistance exercise training and increased protein intake, are presented.|https://www.ebi.ac.uk/europepmc/webservices/rest/search?format=json&query=EXT_ID:39372917%20AND%20SRC:MED|peer_reviewed|2026-08-26
  • [F7]|歐洲肌少症工作小組修訂共識(Sarcopenia: revised European consensus on definition and diagnosis,Age and ageing,2019,PMID 30312372):肌少症診斷以低肌力為關鍵特徵,低肌肉量與品質用於確認診斷,體能表現不佳為嚴重肌少症指標|In this updated consensus paper on sarcopenia, EWGSOP2: (1) focuses on low muscle strength as a key characteristic of sarcopenia, uses detection of low muscle quantity and quality to confirm the sarcopenia diagnosis, and identifies poor physical performance as indicative of severe sarcopenia|https://www.ebi.ac.uk/europepmc/webservices/rest/search?format=json&query=EXT_ID:30312372%20AND%20SRC:MED;免費全文 https://pmc.ncbi.nlm.nih.gov/articles/PMC6322506/|peer_reviewed|2026-08-26

FAQ

Is the weight lost on these drugs fat or muscle?
Both. In the SURMOUNT-1 DXA substudy[F1], roughly 75% of the weight lost was fat and 25% was lean mass, with similar proportions in the treatment and placebo groups[F5]. In the treatment group, change in body weight, fat mass, and lean mass from baseline to week 72 was −21.3%, −33.9%, and −10.9%[F2].
この薬で減るのは脂肪ですか、筋肉ですか?両方です。SURMOUNT-1 の DXA サブスタディでは[F1]、減った体重のうち約 75% が脂肪、25% が除脂肪量であり、実薬群とプラセボ群の比率は近いものでした[F5]。実薬群のベースラインから第 72 週までの体重、脂肪量、除脂肪量の変化はそれぞれ −21.3%、−33.9%、−10.9% です[F2]。
Is the weight lost on these drugs fat or muscle?Both. In the SURMOUNT-1 DXA substudy[F1], roughly 75% of the weight lost was fat and 25% was lean mass, with similar proportions in the treatment and placebo groups[F5]. In the treatment group, change in body weight, fat mass, and lean mass from baseline to week 72 was −21.3%, −33.9%, and −10.9%[F2].
People say the proportion of muscle actually goes up. Is that true?
The proportion does rise, but that is not muscle being gained: **the absolute amount of lean mass falls**, just by less than fat does, which is why its share of body weight increases. In the STEP 1 DXA analysis, total lean mass fell by 9.7% while lean mass as a proportion of total body weight rose by 3.0 percentage points[F4]. The numerator got smaller and the denominator got smaller still. Quoting either figure alone is incomplete.
「筋肉の割合はむしろ増えた」と聞きましたが、本当ですか?割合は確かに上昇しますが、それは「筋肉が増えた」ということではありません。**除脂肪量の絶対量は低下しています**。ただ低下幅が脂肪より小さいため、体重に占める割合が上がるのです。STEP 1 の DXA 解析では、総除脂肪量が 9.7% 低下する一方、除脂肪量が全体重に占める割合は 3.0 パーセントポイント上昇しました[F4]。分子が小さくなり、分母がそれ以上に小さくなれば、割合は上がります。どちらか一方の数値だけを語るのは不完全です。
People say the proportion of muscle actually goes up. Is that true?The proportion does rise, but that is not muscle being gained: **the absolute amount of lean mass falls**, just by less than fat does, which is why its share of body weight increases. In the STEP 1 DXA analysis, total lean mass fell by 9.7% while lean mass as a proportion of total body weight rose by 3.0 percentage points[F4]. The numerator got smaller and the denominator got smaller still. Quoting either figure alone is incomplete.
Does this cause sarcopenia?
As of the verification date, the two body-composition studies cited here cannot answer that, because neither measured muscle strength, walking speed, or falls[F1][F3]. Under the European Working Group's revised 2019 consensus, sarcopenia takes low muscle strength as its key characteristic, with muscle quantity serving only as the confirmatory secondary parameter[F7]. DXA mass figures alone do not reach the first step of that framework.
これはサルコペニアを引き起こしますか?実査日時点で、本稿が引用する二つの体組成研究はこの問いに答えられません。いずれも筋力、歩行速度、転倒を測定していないからです[F1][F3]。欧州サルコペニアワーキンググループの 2019 年改訂コンセンサスでは、サルコペニアは低筋力を主要な特徴とし、筋量は診断確認のための副次パラメータにすぎません[F7]。DXA の量的数値だけでは、その診断枠組みの第一段階にも到達しません。
Does this cause sarcopenia?As of the verification date, the two body-composition studies cited here cannot answer that, because neither measured muscle strength, walking speed, or falls[F1][F3]. Under the European Working Group's revised 2019 consensus, sarcopenia takes low muscle strength as its key characteristic, with muscle quantity serving only as the confirmatory secondary parameter[F7]. DXA mass figures alone do not reach the first step of that framework.
Is the "lean mass" DXA measures the same as muscle?
No. Body composition follows a five-level model in which "fat-free mass" belongs to the molecular level and "skeletal muscle" to the tissue/organ level; the two are often conflated but are not equivalent[F6]. DXA lean mass includes organs, water, and connective tissue, not just skeletal muscle.
DXA が測る「除脂肪量」は筋肉のことですか?違います。体組成には五層モデルがあり、「除脂肪量」は分子層、「骨格筋」は組織/器官層に属し、両者はしばしば混同されますが同一ではありません[F6]。DXA の除脂肪量には臓器、水分、結合組織が含まれ、骨格筋だけではありません。
Is the "lean mass" DXA measures the same as muscle?No. Body composition follows a five-level model in which "fat-free mass" belongs to the molecular level and "skeletal muscle" to the tissue/organ level; the two are often conflated but are not equivalent[F6]. DXA lean mass includes organs, water, and connective tissue, not just skeletal muscle.
Why does the placebo group also lose lean mass?
In the SURMOUNT-1 substudy, change in body weight, fat mass, and lean mass in the placebo group was −5.3%, −8.2%, and −2.6%[F2], with the fat-to-lean proportion likewise close to 75 to 25[F5]. So lean-mass loss **is not confined to the treated group**. But that cannot be read backwards as "the drug has nothing to do with it": the placebo group had only 36 people[F1], and this substudy performed no mediation analysis, so it cannot separate the drug's own effect from the contribution of weight loss itself.
なぜプラセボ群でも除脂肪量が減るのですか?SURMOUNT-1 サブスタディでは、プラセボ群の体重、脂肪量、除脂肪量の変化は −5.3%、−8.2%、−2.6% であり[F2]、脂肪と除脂肪量の比率も同様に 75 対 25 に近いものでした[F5]。したがって除脂肪量の低下は**実薬群だけに現れるものではありません**。ただしこれを逆に「薬とは無関係」と読むことはできません。プラセボ群はわずか 36 名であり[F1]、このサブスタディは媒介解析を行っていないため、薬そのものの作用と減量自体の寄与を区別できないからです。
Why does the placebo group also lose lean mass?In the SURMOUNT-1 substudy, change in body weight, fat mass, and lean mass in the placebo group was −5.3%, −8.2%, and −2.6%[F2], with the fat-to-lean proportion likewise close to 75 to 25[F5]. So lean-mass loss **is not confined to the treated group**. But that cannot be read backwards as "the drug has nothing to do with it": the placebo group had only 36 people[F1], and this substudy performed no mediation analysis, so it cannot separate the drug's own effect from the contribution of weight loss itself.
How many people were in these studies?
Not many. The SURMOUNT-1 body-composition substudy had 160 participants against a parent trial of 2,539[F1]; the STEP 1 DXA analysis had 140 against a parent trial of 1,961[F3]. Both are small slices of their parent trials, and the STEP 1 one was further limited to BMI no higher than 40 with only nine participating sites[F3].
これらの研究の人数はどれくらいですか?多くありません。SURMOUNT-1 の体組成サブスタディは 160 名、母試験は 2,539 名です[F1]。STEP 1 の DXA 解析は 140 名、母試験は 1,961 名です[F3]。いずれも母試験のごく一部であり、STEP 1 のものはさらに BMI 40 以下に限定され、参加施設も 9 か所だけでした[F3]。
How many people were in these studies?Not many. The SURMOUNT-1 body-composition substudy had 160 participants against a parent trial of 2,539[F1]; the STEP 1 DXA analysis had 140 against a parent trial of 1,961[F3]. Both are small slices of their parent trials, and the STEP 1 one was further limited to BMI no higher than 40 with only nine participating sites[F3].
Has any study measured strength or mobility directly?
Neither of the two cited here did[F1][F3]. That does not mean no such study exists anywhere — only that these two datasets contain no corresponding result fields, so they cannot be used to conclude either that there is an effect or that there is none.
筋力や移動能力を直接測定した研究はありますか?本稿が引用するこの二つにはありません[F1][F3]。それは他の場所に存在しないという意味ではなく、この二つの資料の中に対応する結果の項目が見つからないという意味にすぎません。したがってこれらを用いて「影響がある」とも「ない」とも結論することはできません。
Has any study measured strength or mobility directly?Neither of the two cited here did[F1][F3]. That does not mean no such study exists anywhere — only that these two datasets contain no corresponding result fields, so they cannot be used to conclude either that there is an effect or that there is none.
How can I check these numbers myself?
Both datasets can be looked up through Europe PMC: the SURMOUNT-1 body-composition substudy has PMID 39996356[F1], while the STEP 1 DXA analysis has no PMID at all, only the PMC identifier PMC8089287[F3]. That second point is worth remembering on its own: **if you screen the literature by searching PubMed alone, this paper disappears entirely**.
この記事の数値を自分で確認するにはどうすればよいですか?どちらの資料も Europe PMC で検索できます。SURMOUNT-1 体組成サブスタディの PMID は 39996356 です[F1]。STEP 1 の DXA 解析には PMID がなく、PMC 番号 PMC8089287 のみです[F3]。後者の点自体が覚えておく価値のあることです。**PubMed だけを検索して文献を絞り込む方法では、この一篇はまるごと消えてしまいます**。
How can I check these numbers myself?Both datasets can be looked up through Europe PMC: the SURMOUNT-1 body-composition substudy has PMID 39996356[F1], while the STEP 1 DXA analysis has no PMID at all, only the PMC identifier PMC8089287[F3]. That second point is worth remembering on its own: **if you screen the literature by searching PubMed alone, this paper disappears entirely**.

Cite this article

TK.Lin Agent・《Is the Weight Lost Fat or Muscle? Four Separate Questions — Two Answered, One Not》・IDAEO 知識庫・2026-08-26・https://km.idaeo.ai/post/health/glp1-body-composition

更新 2026-08-26T13:09:21.253Z · server-rendered · four-language · IDAEO 知識庫

運営:株式会社和心(法人番号 8011401020677)

〒107-0061 東京都港区北青山一丁目3番1号 アールキューブ青山3階