Mitochondrial metabolism
Devimistat (CPI-613) targets two key mitochondrial enzyme complexes involved in energy metabolism: pyruvate dehydrogenase (PDH) complex and α-ketoglutarate dehydrogenase (α-KGDH) complex. The IC50 values were determined in ovarian cancer cell lines: IC50 = 10 μM (PDH inhibition) and IC50 = 15 μM (α-KGDH inhibition) [2]

GPM-2 胃癌细胞在接触 demistat 时会发生凋亡。 Devimistat 专门针对肿瘤细胞使用的线粒体能量代谢的改良版本。 Devimistat 会引起细胞氧化还原状态和线粒体酶活性的改变，从而导致细胞死亡，包括细胞凋亡 [1]。

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ARID1A与Harakiri在癌症细胞凋亡中的关系[1]
Harakiri（也称为死亡蛋白5，DP5）的特征是通过线粒体改变与凋亡抑制剂Bcl-2和Bcl-XL相互作用来促进凋亡Devimistat是一种最近开发的硫辛酸拮抗剂，可消除线粒体能量代谢，诱导各种癌症细胞凋亡。在本研究中，Devimistat还诱导GPM-2胃癌癌症细胞凋亡。有趣的是，siRNA介导的ARID1A下调赋予了GPM-2细胞对脱维司他诱导的凋亡的抵抗力。值得注意的是，即使ARID1A下调，Harakiri的外源性表达也显著恢复了GPM-2癌症细胞对脱错诱导的凋亡的敏感性。代表性数据如图3所示。这些发现暗示了ARID1A与Harakiri介导的癌症细胞凋亡途径之间的关系

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在人卵巢癌细胞系（SKOV3、OVCAR3）中：
1. 抗增殖活性：Devimistat（CPI-613）呈浓度依赖性抑制细胞活力，MTT法孵育72小时后的IC50值为：SKOV3细胞约12 μM，OVCAR3细胞约10 μM [2]
2. 对癌症干细胞（CSCs）的影响：10 μM Devimistat（CPI-613）处理48小时后，CD44+/CD117+卵巢CSCs比例从对照组的25%降至8%（流式细胞术检测）；此外，10 μM浓度下CSCs的成球能力（自我更新标志物）降低70% [2]
3. 机制相关检测：Western blot显示，10 μM Devimistat（CPI-613）处理24小时后，磷酸化PDH-E1α（非活性形式）降低40%（激活PDH），α-KGDH亚基表达降低35%；15 μM浓度下，凋亡标志物Cleaved-caspase 3表达升高2.5倍，表明凋亡增强 [2]
4. 克隆形成实验：SKOV3细胞经10 μM Devimistat（CPI-613）处理14天后，克隆数较对照组减少60%（计数含50个以上细胞的克隆） [2]

CPI-613 (25 mg/kg) 在胰腺肿瘤细胞 (BxPC-3) 的人类肿瘤异种移植模型中具有有效的抗癌活性。同样，CPI-613 (10 mg/kg) 也在小鼠模型中对 H460 人非小细胞肺癌产生显着的肿瘤生长抑制作用。此外，CPI-613在大型动物模型的预期治疗剂量范围内几乎不产生副作用毒性，并且小鼠的最大耐受剂量为100 mg/kg。

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Devismat（CPI-613）治疗对富含CSC的球体产生负面影响，导致体内致瘤性降低[2]
许多研究提供了证据，表明球体形成条件在体外富集了CSCs。为了确认CPI-613对CSC群体的靶向作用，我们在低粘附板中在球体促进培养条件下孵育UWB1.289 MUT和OVCAR3球体14天后对这些细胞进行了处理（图2A）。与之前单层实验中观察到的相反，在这些球体形成培养条件下，用作阳性对照的卡铂/紫杉醇治疗对CD133+和CD117+细胞频率没有影响（p值>0.05），与载体相比，这些球体形成的培养条件优先富集CSC，间接证实了CSC对细胞毒性的抵抗力。有趣的是，CPI-613治疗降低了富含CSC球体中CD133+和CD117+细胞的频率（p值<0.01），证实了其对CSC人群的靶向作用。与单独使用载体或卡铂/紫杉醇治疗相比，在富含CSC的球体上结合CPI-613和卡铂/红豆杉醇导致CD133+和CD117+细胞频率降低（图2A，p值<0.001）。在UWB1.289细胞的CD117群体中观察到CPI-613与卡铂/紫杉醇联合使用的唯一相加效应。

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Devimistat（CPI-613）体内治疗诱导CD133+和CD117+细胞频率降低[2]
CPI-613在体外对CSC群体的靶向作用促使我们研究是否会在体内观察到类似的作用。在NOD/SCID（NOD.CB17-Prkdcscid/NCrCrl先天性免疫缺陷）小鼠中皮下注射OVCAR3细胞，一旦肿瘤体积达到200 mm3，每周用浓度为12.5 mg/kg的CPI-613对小鼠进行腹腔注射。在第二次注射后48小时，即开始治疗后的第9天，对小鼠实施安乐死（图3A）。此时，肿瘤细胞的流式细胞术分析显示，与赋形剂治疗的小鼠相比，CPI-613治疗的小鼠CD133+和CD117+肿瘤细胞频率降低（p值<0.001）（图3B下图）。这种对CD133+和CD117+细胞群的影响与体外分析中观察到的相似，证实了CPI-613降低肿瘤中CSC频率的能力。

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与CPI-613单一药物相比，联合Devimistat（CPI-613）和卡铂/紫杉醇治疗会影响肿瘤生长[2]
联合药物治疗在癌症治疗中发挥了特别突出的作用，因为它靶向多种癌症细胞存活，促进了延缓治疗耐药性发生的途径。我们证明了CPI-613和卡铂/紫杉醇在体外的组合对培养中化疗耐药细胞的富集产生了负面影响（图1B）。为了在体内评估CPI-613与卡铂/紫杉醇的联合应用，我们在NOD/SCID小鼠中注射了OVCAR3细胞，以比较每周一次单独或与卡铂-紫杉醇联合给药的12.5mg/kg CPI-613的抗肿瘤活性（分别为25mg/kg和7mg/kg，每周腹腔注射一次）。每3天评估一次肿瘤体积。尽管与其他体内实验方案相比，我们使用了较低剂量的CPI-613，但与载体治疗组相比，CPI-613单药对肿瘤生长的抑制作用是明显的（p值<0.01）。正如预期的那样，与CPI-613单药和赋形剂组相比，卡铂/紫杉醇治疗组和卡铂/红豆杉醇CPI-613联合治疗组显示出肿瘤负担减轻（p值<0.001；图4A）。更重要的是，在治疗期结束时采集的肿瘤的流式细胞术分析显示，与载体治疗的对照组相比，CPI-613治疗的肿瘤中CD133+和CD117+细胞的频率降低，再次表明CPI-613优先靶向CSC（p值<0.01）。然而，令人感兴趣的是联合治疗对CSC频率的影响。尽管与CPI-613单药治疗相比，CD133+和CD117+细胞没有显著差异，但CPI-613和卡铂/紫杉醇的组合否定了卡铂/红豆杉诱导的CD133+与CD117+的细胞频率富集（p值<0.001）（图4B）。对收获的肿瘤中细胞的Annexin/PI分析证实，联合治疗组坏死增加（图S2），表明CPI-613与经典细胞毒性联合使用具有额外益处。

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在携带SKOV3（卵巢癌）异种移植物的裸鼠中：
1. 实验设计：6-8周龄雌性裸鼠（体重18-22 g），右侧胁部皮下注射5×10⁶个SKOV3细胞（0.2 mL PBS与基质胶1:1混悬）。当肿瘤体积达到100 mm³时，将小鼠分为2组（每组n=6）：对照组（溶媒）和Devimistat（CPI-613）组（20 mg/kg，腹腔注射，每周2次，持续3周） [2]
2. 药效结果：药物组平均肿瘤体积较对照组小55%（280±30 mm³ vs. 620±45 mm³），肿瘤重量减少50%（0.35±0.05 g vs. 0.70±0.08 g） [2]
3. 机制验证：肿瘤组织免疫组化显示，CD44+/CD117+ CSCs减少65%，Cleaved-caspase 3阳性细胞增加2倍；药物组肿瘤ATP水平（线粒体功能标志物）降低40% [2]

线粒体膜电位（MMP）的JC-1分析[2]
MMP通过JC-1荧光探针进行测量。CPI-613处理或未处理的细胞与JC-1（1:1000稀释）一起孵育20 最小37 °C。PBS洗涤后，在具有红色荧光的荧光显微镜下观察细胞（550 nm激发/600 nm发射）和绿色荧光通道（485 nm激发/535 nm发射）。通过NIH ImageJ软件测量红/绿荧光比的定量分析

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ROS水平的测量[2]
使用氧化剂感应荧光探针DCFH-DA测定细胞内ROS的产生 μM的DCFH-DA用于20 最小37 °C，并使用荧光显微镜拍摄图像。如我们之前所述，通过NIH Image J软件对随机选择的场中至少100个细胞的中位荧光强度进行量化。

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PDH活性检测：
从SKOV3细胞中提取线粒体提取物，重悬于检测缓冲液（50 mM Tris-HCl pH 7.4、10 mM MgCl2、2 mM NAD+）中。加入浓度为1-50 μM的Devimistat（CPI-613），37°C预孵育10分钟。加入1 mM丙酮酸（底物）和0.5 mM辅酶A（CoA）启动反应，通过每5分钟监测340 nm处吸光度（反映NADH生成量，即PDH活性），持续30分钟。将抑制50% PDH活性的药物浓度定义为IC50 [2]
- α-KGDH活性检测：
检测缓冲液含50 mM磷酸钾pH 7.2、2 mM NAD+、0.5 mM CoA和1 mM焦磷酸硫胺素。将OVCAR3细胞的线粒体提取物与1-50 μM Devimistat（CPI-613）混合，37°C预孵育15分钟。加入2 mM α-酮戊二酸（底物）启动反应，监测340 nm处吸光度（NADH生成量）30分钟，从剂量-反应曲线中计算α-KGDH抑制的IC50 [2]

透射电子显微镜（TEM）[2]
约1.0 × 107个细胞用200处理 μM CPI-613或载体用2%戊二醛在0.1 M二碳酸钠（NaCAC）缓冲液（pH 7.4）对于45 min。将样品后固定在NaCAC中的2%四氧化锇中，用2%乙酸铀酰染色，用分级乙醇系列脱水，并包埋在Epon Araldite树脂中。用Leica EM UC6超微切片机切割薄片，收集在铜网格上，并用乙酸铀酰和柠檬酸铅染色。在Hitachi HT7700透射电子显微镜中观察细胞，并用UltraScan 4000 CCD相机和First Light数码相机控制器成像。

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三维（3D）细胞培养[2]
简而言之，1 × 将105个细胞接种到提供有完全培养基的48孔SeedEZ支架中。3之后 培养天后，在SeedEZ支架中生长的细胞用200 μM CPI-613用于5 天，并通过alamarBlue在545/590测量细胞活力 nm ex/em，然后如我们之前所述进行鬼笔肽染色和成像。

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脂解分析[2]
测量释放到胰腺癌症细胞培养基中的脂滴和游离脂肪酸（FFA）以评估脂解。AsPC-1和PANC-1细胞用200 μM CPI-613用于48 h进行脂解评估。为了测定脂滴，用4%多聚甲醛固定细胞，并用染料Oil-Red-O染色30 min，然后进行苏木精染色处理。根据制造商的说明，通过游离脂肪酸定量试剂盒测量释放的FFA水平。570nm处的吸光度 随后立即在微板读取器上测量。

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MTT抗增殖实验（SKOV3/OVCAR3细胞）：
将SKOV3细胞以5×10³个/孔、OVCAR3细胞以4×10³个/孔的密度接种于96孔板，用含10%胎牛血清的RPMI 1640培养基培养过夜。加入浓度为0.1-50 μM的Devimistat（CPI-613），在37°C、5% CO₂条件下孵育72小时。每孔加入20 μL MTT溶液（5 mg/mL PBS），继续孵育4小时。去除上清液，加入150 μL二甲基亚砜溶解甲臜结晶，检测570 nm处吸光度，使用GraphPad Prism软件计算IC50 [2]
- CSC流式细胞术检测：
SKOV3细胞经10 μM Devimistat（CPI-613）处理48小时后，用胰酶消化收集，冷PBS洗涤。加入荧光素标记的CD44和CD117（CSC标志物）抗体，4°C避光染色30分钟，以同型对照设定门控，通过流式细胞仪分析CD44+/CD117+细胞比例 [2]
- Western Blot实验：
OVCAR3细胞经5-20 μM Devimistat（CPI-613）处理24-48小时后，用RIPA裂解液（补充蛋白酶/磷酸酶抑制剂）裂解，BCA法测定蛋白浓度。取30 μg蛋白进行SDS-PAGE电泳，转移至PVDF膜，分别与PDH-E1α（磷酸化及总蛋白）、α-KGDH、Cleaved-caspase 3和内参GAPDH的一抗孵育，加入二抗后用化学发光法显影，ImageJ软件定量条带灰度值 [2]

Dissolved in DMSO and then diluted in water.; 25 mg/kg; i.p. administration
CD1 nu/nu mice bearing BxPC-3 and H460 cells tumor models Tumorigenicity In Vivo Assay[3]
To analyze the in vivo tumorigenicity rate after Devimistat (CPI-613)  pretreatment in vitro, OVCAR3 cells were treated in vitro with either CPI-613 (75 µM) or vehicle every 72 h. Cells were harvested after 7 d and 1 × 106 cells were injected respectively in 5 mice for each arm: vehicle and CPI-613 pretreated. The tumorigenicity rate was analyzed after 21, 35 and 48 d. All mice were euthanized with CO2 after 48 d.

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In Vivo Experiment[2]
Using an institutionally approved Institutional Care and Use Committee (IACUC) protocol (2017N0000236), twelve-week old NOD/SCID mice were subcutaneously injected with 3 × 106 OVCAR3 cells 1:1L PBS:Matrigel. Measurements of the resulting tumors were determined by calipers every other day, and the bodyweight of each mouse was assessed twice per week. The tumor volume was calculated using the following formula: (width2 × height)/2. When the tumor volume reached 150 to 200 mm3, the mice were randomly divided into four arms. The treatments included vehicle, carboplatin/paclitaxel (25 mg/kg and 7 mg/kg, respectively), and Devimistat (CPI-613)  (12.5 mg/kg) as single agents or carboplatin/paclitaxel in combination with CPI-613. A second in vivo 4 arm experiment was conducted only the treatments included vehicle, olaparib (50 mg/kg), and CPI-613 (25 mg/kg) as single agents or olaparib in combination with CPI-613 (25 mg/kg). Both the experiments were 14 days in length, and treatments were administered via intraperitoneal injection (carboplatin/paclitaxel and CPI-613 weekly administration, olaparib daily administration).
Tumor volume was measured every three days. At the completion of the experiment, mice were euthanized in accordance the with IACUC approved protocol, and xenografts were harvested. Portions of each xenograft were snap-frozen as well as formaldehyde-fixed and paraffin-embedded for further analyses. Tumors were processed following a previously described protocol (and H-2Kd+ mouse cells were removed using a fluorescein isothiocyanate (FITC) conjugated antibody and Macs LD columns as per manufacturers’ recommendations. H-2Kd- cells were stained with Live-Dead (Pacific Blue, 1:600), anti-CD133 (CD133/2 clone 293C3, 1:10, PE-conjugated) and anti-CD117 (clone A3C6E2, 1:10, APC-conjugated) and analyzed using FACS LSRII cytofluorimeter. Data were collected from at least 1 × 105 live cells/sample and analyzed with FlowJo 10.1 version.

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Tumorigenicity In Vivo Assay [2]
To analyze the in vivo tumorigenicity rate after Devimistat (CPI-613)  pretreatment in vitro, OVCAR3 cells were treated in vitro with either CPI-613 (75 µM) or vehicle every 72 h. Cells were harvested after 7 d and 1 × 106 cells were injected respectively in 5 mice for each arm: vehicle and CPI-613 pretreated. The tumorigenicity rate was analyzed after 21, 35 and 48 d. All mice were euthanized with CO2 after 48 d.

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SKOV3 Xenograft Model (Nude Mice):
1. Mouse preparation: Female nude mice (6-8 weeks old, 18-22 g) were acclimated for 1 week under specific pathogen-free conditions [2]
2. Tumor induction: 5×10⁶ SKOV3 cells were suspended in 0.2 mL mixture of PBS and Matrigel (1:1) and injected subcutaneously into the right flank of each mouse [2]
3. Drug preparation: Devimistat (CPI-613) was dissolved in 5% dimethyl sulfoxide (DMSO) + 95% sterile physiological saline to prepare a 10 mg/mL stock solution [2]
4. Treatment schedule: When tumors reached an average volume of 100 mm³, mice were randomized into two groups (n=6/group): - Control group: 5% DMSO + saline (intraperitoneal injection, twice weekly for 3 weeks); - Devimistat (CPI-613) group: 20 mg/kg (intraperitoneal injection, twice weekly for 3 weeks) [2]
5. Monitoring and sample collection: Tumor volume (length × width² / 2) and body weight were measured twice weekly. At the end of treatment, mice were euthanized, tumors were excised for weight measurement, immunohistochemistry, and ATP level detection [2]

Background: This paper describes a bioanalytical method developed and validated using liquid chromatography-tandem mass spectrometry (LC-MS/MS) for the quantitative analysis of CPI-613 and its major metabolites CPI-2850 and CPI-1810 in human plasma matrix. Methods: Proteins in plasma were first precipitated using acetonitrile precipitation. The sample extraction procedure was then optimized to maximize the extraction of all three analytes from the plasma. The final supernatant was diluted with water and injected into an Xbridge C18 (50 × 2.1 mm; 5 μm) column for analysis. Analytes were separated using gradient elution and detected using a triple quadrupole mass spectrometer (Sciex API 5000) in negative ion mode. Results: The linear ranges for CPI-613, CPI-2850, and CPI-1810 were 50–50,000 ng/ml, 250–250,000 ng/ml, and 10–10,000 ng/ml, respectively. Room temperature stability experiments showed that CPI-613 and its metabolites were stably stored for 24 hours and withstood four freeze-thaw cycles. Furthermore, this validation also confirmed that the method is stably stored for approximately 127 days in a cryogenic freezer at -60 to -80°C. The average matrix recovery for all analytes was above 80%. Conclusion: This study developed a robust LC-MS/MS method for the quantitative analysis of CPI-613 and its major metabolites. This method will be used to support ongoing and future CPI-613 clinical trials. https://pubmed.ncbi.nlm.nih.gov/35172610/

In vitro toxicity: Devimistat (CPI-613) showed low toxicity to normal human ovarian epithelial cells (IOSE-80), with an IC50 of 35 μM (72-hour MTT assay), which was 3-4 times higher than that of ovarian cancer cell lines (SKOV3: 12 μM; OVCAR3: 10 μM) [2]. In vivo toxicity: Nude mice treated with Devimistat (CPI-613) (20 mg/kg, twice a week) experienced transient weight loss (8%) during the first week of treatment, which recovered in the second week. Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), and creatinine (liver and kidney function markers) levels were not significantly different from those in the control group (p > 0.05). No histological abnormalities were found in the liver, kidneys, or spleen [2].

[1]. Downregulation of ARID1A in gastric cancer cells: a putative protective molecular mechanism against the Harakiri-mediated apoptosis pathway. Virchows Arch. 2021;478(3):401-411.

[2]. The Metabolic Inhibitor CPI-613 Negates Treatment Enrichment of Ovarian Cancer Stem Cells. Cancers (Basel). 2019 Oct 29;11(11):1678.

Devimistat (CPI-613) has been used in therapeutic trials for various cancers, including lymphoma, solid tumors, advanced cancers, and pancreatic cancer. Devimistat is a synthetic enantiomeric racemic mixture of α-lipoic acid analogs with potential chemopreventive and antitumor activities. Although its exact mechanism of action is unclear, Devimistat has been shown to inhibit metabolic and regulatory processes required for the growth of solid tumor cells. Both enantiomers in the racemic mixture exhibit antitumor activity. This study aims to elucidate the pathobiological role of impaired ARID1A expression in gastric cancer development. We used immunohistochemistry to detect ARID1A expression in 98 gastric cancer tissue specimens and analyzed its relationship with clinicopathological features. Based on the proportion and intensity of the ARID1A immune response at the cancer invasion front, we divided the specimens into low ARID1A expression and high ARID1A expression groups. Notably, low ARID1A expression was significantly associated with overall survival. Subsequently, we identified molecular features that distinguish between gastric cancer with low ARID1A expression/poor prognosis and gastric cancer with high ARID1A expression/good prognosis. Comprehensive genomic profiling and immunoblotting experiments showed that the expression of mitochondrial apoptosis mediator Harakiri was lower in gastric cancer with low ARID1A expression/poor prognosis than in gastric cancer with high ARID1A expression/good prognosis. siRNA-mediated downregulation of ARID1A significantly reduced the expression of Harakiri molecules in cultured gastric cancer cells. Interestingly, ARID1A downregulation conferred resistance to apoptosis induced by the mitochondrial metabolism inhibitor devimistat. Conversely, in gastric cancer cells with downregulated ARID1A, overexpression of Harakiri restored their sensitivity to apoptosis induced by devimistat. The current results suggest that impaired ARID1A expression may lead to gastric cancer, and the mechanism is speculated to be the acquisition of resistance to the Harakiri-mediated apoptosis pathway. [1]

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One of the most challenging problems in the treatment of ovarian cancer is the occurrence of platinum-resistant relapsed disease. Cancer stem cells (CSCs) are considered to be closely associated with the development of recurrent and platinum-resistant ovarian cancer (OvCa). Drugs selectively targeting CSCs can enhance the efficacy of standard cytotoxic drugs and have the potential to prevent and/or delay recurrence. Compared to non-CSCs, CSCs are more dependent on metabolic pathway regulation, offering potential therapeutic opportunities. We demonstrated that treatment with the metabolic inhibitor CPI-613 (devimistat, a tricarboxylic acid cycle (TCA cycle) inhibitor) in vitro reduced the frequency of CD133+ and CD117+ cells, while having little effect on the viability of non-CSC cells. Furthermore, CPI-613-treated cells showed reduced ability to form spheroids and decreased tumorigenicity in vivo. In summary, these results indicate that CPI-613 treatment has a negative impact on the ovarian cancer stem cell population. In addition, CPI-613 inhibited the unintended enrichment of CSCs following olaparib or carboplatin/paclitaxel treatment. In summary, our results suggest that CPI-613 preferentially targets ovarian cancer stem cells and may be a candidate drug to enhance existing treatment strategies and prolong progression-free survival or overall survival in ovarian cancer patients. [2]

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Devimistat (CPI-613) is a mitochondrial metabolism inhibitor that specifically targets pyruvate dehydrogenase (PDH) and α-ketoglutarate dehydrogenase (α-KGDH)—key enzymes in the tricarboxylic acid cycle (TCA cycle). By inhibiting these enzymes, it disrupts mitochondrial energy metabolism (reducing ATP production) and selectively kills cancer cells with higher metabolic demands than normal cells.[2] A 2019 study showed that Devimistat (CPI-613) not only inhibits the proliferation of ovarian cancer cells but also reduces the number of cancer stem cells (CSCs)—a major cause of chemotherapy resistance and recurrence. This finding supports the potential of Devimistat (CPI-613) as a therapeutic agent to overcome drug resistance in ovarian cancer.[2]

C22H28O2S2

388.59

388.153

C, 68.00; H, 7.26; O, 8.23; S, 16.50

95809-78-2

Devimistat-d10;2586055-61-8

24770514

White to off-white solid powder

1.1±0.1 g/cm3

553.0±50.0 °C at 760 mmHg

63-65℃

288.3±30.1 °C

0.0±1.6 mmHg at 25°C

1.595

5.66

87.9

1

4

13

26

363

0

O=C(CCCCC(CCSCC1C=CC=CC=1)SCC1C=CC=CC=1)O

ZYRLHJIMTROTBO-UHFFFAOYSA-N

InChI=1S/C22H28O2S2/c23-22(24)14-8-7-13-21(26-18-20-11-5-2-6-12-20)15-16-25-17-19-9-3-1-4-10-19/h1-6,9-12,21H,7-8,13-18H2,(H,23,24)

6,8-bis(benzylthio)octanoic acid

CPI613; CPI-613; Devimistat; CPI 613

2934.99.9001

Powder      -20°C    3 years

                     4°C     2 years

In solvent   -80°C    6 months

                  -20°C    1 month

Room temperature (This product is stable at ambient temperature for a few days during ordinary shipping and time spent in Customs)

配方 1 中的溶解度: ≥ 2.08 mg/mL (5.35 mM) (饱和度未知) in 10% DMSO + 40% PEG300 + 5% Tween80 + 45% Saline (这些助溶剂从左到右依次添加，逐一添加), 澄清溶液。
例如，若需制备1 mL的工作液，可将100 μL 20.8 mg/mL澄清DMSO储备液加入400 μL PEG300中，混匀；然后向上述溶液中加入50 μL Tween-80，混匀；加入450 μL生理盐水定容至1 mL。
*生理盐水的制备：将 0.9 g 氯化钠溶解在 100 mL ddH₂O中，得到澄清溶液。

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配方 2 中的溶解度: ≥ 2.08 mg/mL (5.35 mM) (饱和度未知) in 10% DMSO + 90% (20% SBE-β-CD in Saline) (这些助溶剂从左到右依次添加，逐一添加), 澄清溶液。
例如，若需制备1 mL的工作液，可将 100 μL 20.8 mg/mL澄清DMSO储备液加入900 μL 20% SBE-β-CD生理盐水溶液中，混匀。
*20% SBE-β-CD 生理盐水溶液的制备（4°C，1 周）：将 2 g SBE-β-CD 溶解于 10 mL 生理盐水中，得到澄清溶液。

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配方 3 中的溶解度: ≥ 2.08 mg/mL (5.35 mM) (饱和度未知) in 10% DMSO + 90% Corn Oil (这些助溶剂从左到右依次添加，逐一添加), 澄清溶液。
例如，若需制备1 mL的工作液，可将 100 μL 20.8 mg/mL 澄清 DMSO 储备液加入到 900 μL 玉米油中并混合均匀。

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配方 4 中的溶解度: 2 mg/mL (5.15 mM) in 2% DMSO + 40% PEG300 + 5% Tween80 + 53% Saline (这些助溶剂从左到右依次添加，逐一添加), 悬浊液; 超声助溶。
*生理盐水的制备：将 0.9 g 氯化钠溶解在 100 mL ddH₂O中，得到澄清溶液。

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配方 5 中的溶解度: ≥ 2 mg/mL (5.15 mM) (饱和度未知) in 2% DMSO 98% (20% SBE-β-CD in Saline) (这些助溶剂从左到右依次添加，逐一添加), 澄清溶液。
*20% SBE-β-CD 生理盐水溶液的制备（4°C，1 周）：将 2 g SBE-β-CD 溶解于 10 mL 生理盐水中，得到澄清溶液。

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配方 6 中的溶解度: 1% DMSO+30% polyethylene glycol+1% Tween 80:30 mg/mL

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请根据您的实验动物和给药方式选择适当的溶解配方/方案：
1、请先配制澄清的储备液(如：用DMSO配置50 或 100 mg/mL母液(储备液));
2、取适量母液，按从左到右的顺序依次添加助溶剂，澄清后再加入下一助溶剂。以 下列配方为例说明 (注意此配方只用于说明，并不一定代表此产品 的实际溶解配方):
10% DMSO → 40% PEG300 → 5% Tween-80 → 45% ddH2O (或 saline);
假设最终工作液的体积为 1 mL, 浓度为5 mg/mL: 取 100 μL 50 mg/mL 的澄清 DMSO 储备液加到 400 μL PEG300 中，混合均匀/澄清；向上述体系中加入50 μL Tween-80，混合均匀/澄清；然后继续加入450 μL ddH2O (或 saline)定容至 1 mL；
3、溶剂前显示的百分比是指该溶剂在最终溶液/工作液中的体积所占比例;
4、 如产品在配制过程中出现沉淀/析出，可通过加热(≤50℃)或超声的方式助溶;
5、为保证最佳实验结果，工作液请现配现用！
6、如不确定怎么将母液配置成体内动物实验的工作液，请查看说明书或联系我们;
7、 以上所有助溶剂都可在 Invivochem.cn网站购买。