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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2024.1364585</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Ultra rapid lispro improves postprandial glucose control versus lispro in combination with basal insulin: a study based on CGM in type 2 diabetes in China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Yuan</surname>
<given-names>Lu</given-names>
</name>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Luo</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Luo</surname>
<given-names>Yong</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ding</surname>
<given-names>Bo</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1723624"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Peng</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Jianhua</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1189747"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wu</surname>
<given-names>Jindan</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Stefano Passanisi, University of Messina, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Benli Su, Second Hospital of Dalian Medical University, China</p>
<p>Sergio Di Molfetta, University of Bari Aldo Moro, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jianhua Ma, <email xlink:href="mailto:majianhua196503@126.com">majianhua196503@126.com</email>; Jindan Wu, <email xlink:href="mailto:wujindandan@sina.com">wujindandan@sina.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>05</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1364585</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Yuan, Luo, Luo, Ding, Zhang, Ma and Wu</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Yuan, Luo, Luo, Ding, Zhang, Ma and Wu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Aim</title>
<p>To evaluate the efficacy and safety of URLi (ultra rapid lispro insulin) compared to insulin lispro as bolus insulin with basal insulin using CGM in the individuals with type 2 diabetes(T2D) in China.</p>
</sec>
<sec>
<title>Methods</title>
<p>This was a double-blind, randomized, parallel, prospective, phase 3 study. Subjects with uncontrolled T2D were recruited and randomized 1:2 into the insulin lispro and URLi groups. Subjects received a consistent basal insulin regimen during the study and self-administered insulin lispro or URLi before each meal throughout the treatment period. Subjects underwent a 3-day continuous glucose monitoring (CGM) at the baseline and endpoint respectively, and then CGM data were analyzed. The primary endpoint was to compare the difference in postprandial glucose (PPG) control using CGM between the two groups.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 57 subjects with T2D completed the study. Our CGM data showed that postprandial glucose excursions after breakfast (BPPGE) in the URLi group was lower than that in the insulin lispro group (1.59 &#xb1; 1.57 mmol/L vs 2.51 &#xb1; 1.73 mmol/L, p = 0.046). 1-hour PPG was observed to decrease more in the URLi group than that in the insulin lispro group (-1.37 &#xb1; 3.28 mmol/L vs 0.24 &#xb1; 2.58 mmol/L, p = 0.047). 2-hour PPG was observed to decrease more in the URLi group than that in the insulin lispro group (-1.12 &#xb1; 4.00 mmol/L vs 1.22 &#xb1; 2.90 mmol/L, p = 0.021). The mean HbA1c level decreased by 1.1% in the URLi group and 0.99% in the insulin lispro group, with no treatment difference (p = 0.642). In the CGM profile, TBR was not significantly different between the two groups (p = 0.743). The weight gain also did not differ between the two groups (p = 0.303).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>URLi can control breakfast PPG better than insulin lispro in adults with T2D in China, while it is non-inferior in improving HbA1c. The incidence of hypoglycemic and weight gain were similar between the two groups.</p>
</sec>
</abstract>
<kwd-group>
<kwd>ultra rapid lispro insulin</kwd>
<kwd>postprandial glucose</kwd>
<kwd>postprandial glucose excursions</kwd>
<kwd>continuous glucose monitoring</kwd>
<kwd>HbA1c</kwd>
</kwd-group>
<contract-sponsor id="cn001">Medical Science and Technology Development Foundation, Nanjing Municipality Health Bureau<named-content content-type="fundref-id">10.13039/501100010227</named-content>
</contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="9"/>
<word-count count="4906"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Clinical Diabetes</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Diabetes mellitus (DM) has become one of the most common chronic diseases in the world. The global prevalence of diabetes was estimated to be 10.5% in 2021, with China having the largest number of people with diabetes, with more than 140 million, and more than 174 million by 2045 (<xref ref-type="bibr" rid="B1">1</xref>). According to statistics, about 95% of Chinese people with diabetes are type 2 diabetes mellitus (T2D) (<xref ref-type="bibr" rid="B2">2</xref>). Compared with the Western population, the age of onset of diabetes in Asian patients was generally younger, early &#x3b2;-cell dysfunction was also more obvious in the setting of insulin resistance because there appears to be a predisposition to impaired insulin secretion among East Asian population (<xref ref-type="bibr" rid="B3">3</xref>), and polished rice and refined wheat form the basis of most Asian diets with high glycemic index and high glycemic load values (<xref ref-type="bibr" rid="B4">4</xref>), postprandial glucose(PPG) fluctuates obviously (<xref ref-type="bibr" rid="B5">5</xref>). In the Asian population, postprandial blood glucose levels tend to be higher than in the Caucasian population, even after eating the same foods (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>). A study conducted in China found that nearly 70% of Chinese T2D patients received insulin therapy, but less than 20% of them reached the glycated hemoglobin A1c (HbA1c) target (HbA1c&lt;7.0) (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>The HbA1c value is one of the main indicators reflecting long-term glycemic control (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). In order to achieve the HbA1c target value, both fasting plasma glucose(FPG) and PPG should be monitored (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). As HbA1c decreased, PPG had a greater impact on HbA1c than FPG, and PPG accounted approximately 80% of HbA1c when HbA1c was &lt;6.2% and only about 40% when HbA1c was above 9.0% (<xref ref-type="bibr" rid="B14">14</xref>). A study in China showed that PPG contributed more than FPG in individuals with HbA1c&#x2009;&lt;&#x2009;8.5%, whereas FPG became the predominant contributor in the poorly controlled individuals with HbA1c&#x2009;&#x2265;&#x2009;8.5% (<xref ref-type="bibr" rid="B15">15</xref>). Control of PPG is essential for achieving recommended HbA1c targets. A survey in China showed that the number of participants with isolated fasting hyperglycemia (IFH), isolated postprandial hyperglycemia (IPH) and combined hyperglycemia (CH) were 18.5%, 43.1% and 38.4%, respectively (<xref ref-type="bibr" rid="B16">16</xref>). People with diabetes with the IPH phenotype showed increased risks of diabetic microvascular complications compared to participants with the IFH phenotype (<xref ref-type="bibr" rid="B16">16</xref>). Clinical studies have demonstrated that targeting PPG can effectively improve glycemic control and long-term results in persons with T2D (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>However, HbA1c does not necessarily refer daily glucose variability (GV), because the previous studies found that individuals with similar HbA1c may have different GV (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). GV is associated with oxidative stress, chronic inflammation and endothelial dysfunction, which contribute to vascular endothelial cell damage (<xref ref-type="bibr" rid="B21">21</xref>). Importantly, studies have already demonstrated the positive association between GV and macro/microvascular complications of diabetes (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Therefore, both HbA1c and GV should be taken into account to reduce the incidence of diabetic complications (<xref ref-type="bibr" rid="B20">20</xref>). Continuous glucose monitoring (CGM) continuously provides the glucose readings every 5 minutes for several consecutive days, which may be a potential tool to assess GV in subjects with T2D (<xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>Reducing postprandial glucose excursions(PPGE), defined as the difference between peak PPG and FPG, is a valuable strategy for reducing GV in the individuals with diabetes (<xref ref-type="bibr" rid="B27">27</xref>). Furthermore, the data suggest that PPGE may be a particularly important therapeutic target in person with diabetes. Compared to long-term, sustained hyperglycemia, BG variety postprandially or during glucose &#x2018;swings&#x2019; have a more specific triggering effect on oxidative stress, a factor that plays a pivotal role in the development of various diabetic complications (<xref ref-type="bibr" rid="B28">28</xref>). There is also evidence that postprandial hyperglycemia is a greater predictor of cardiovascular disease than elevated FPG levels (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>Besides HbA1c and GV, the scientific community has recently focused on the importance of time in tight range 3.9-10.0 mmol/L (TITR) as a glucose control indicator, correlating with both average glucose levels and GV. TITR is important because it better reflects near-normal, or healthy, glucose physiology than TIR. Low PPGE contributes to achieving tight glycemic control. So the highest TITR may be associated with the lowest PPGE (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Postprandial glucose can be control with bolus insulin therapy (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). However, the action of many bolus insulins is not sufficiently rapid to match carbohydrate absorption, limiting their efficacy and dosing flexibility (<xref ref-type="bibr" rid="B35">35</xref>). Ultra rapid insulins can better match carbohydrate absorption through faster absorption, more rapid onset, and shorter duration of action is highly desired for optimizing PPG control (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>The active substance of ultra rapid insulin lispro (URLi) is insulin lispro. The excipients contain treprostinil and citrate, which can improve vascular permeability, cause local vasodilation, increase blood flow at the injection site and accelerate the entry of insulin-dependent proline into the vascular circulation to achieve a faster onset of action, shorter duration of action and more effective control of PPG levels (<xref ref-type="bibr" rid="B36">36</xref>). Studies have shown that URLi is superior to insulin lispro in controlling PPG levels and has also been shown to be non-inferior in improving HbA1c levels in adults with T2D (<xref ref-type="bibr" rid="B37">37</xref>). To date, there has been no study using continuous glucose monitoring systems (CGMS) to evaluate the efficacy and safety of URLi in the treatment of T2D in the Chinese population. Therefore, the aim of this study was to evaluate the efficacy and safety of URLi compared to insulin lispro as bolus insulin (administered 0 to 2 minutes before meal) with basal insulin using CGM in T2D in China.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<p>This was a double-blind, randomized, prospective, phase 3 study. The study was conducted in accordance with the ethical standards of institutional and/or national research committees and following the principles of the 1964 Declaration of Helsinki and later amendments. The study protocol and informed consent documents were approved by the Institutional Ethics Committee of Nanjing First Hospital. Written informed consent was obtained from all patients. The trial was registered with <uri xlink:href="https://ClinicalTrials.gov">ClinicalTrials.gov</uri> (NCT03952143).</p>
<sec id="s2_1">
<label>2.1</label>
<title>Participants</title>
<p>From May 2019 to April 2020, T2D individuals in outpatient who presented with poorly controlled blood glucose for at least 90 d were enrolled in the Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, China. Our site was one of the centers. Data sourced from our center.</p>
<p>The inclusion criteria were as follows: 1) age: above 18 years, 2) T2D duration: at least one year, 3) HbA1c: 7.0% to 11.0% at screening, 4) body mass index (BMI): &#x2264;35.0 kg/m<sup>2</sup>, 5) basal insulin combined with &#x2265;1 prandial insulin or premixed insulin with &#x2265;2 injections daily for &#x2265;90 d prior to screening, 6) combined oral anti-diabetic medication (OAM): no more than three types.</p>
<p>Key exclusion criteria were as follows: 1) any episode of severe hypoglycemia within 6 months prior to screening, 2) one or more episodes of acute complications of diabetes within 6 months prior to screening.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Randomization</title>
<p>Following an eight-week lead-in period, subjects were randomized to receive either URLi or insulin lispro in a 2:1 ratio.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Study design</title>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Insulin titration</title>
<p>The study included a one-week screening period and an 8-week lead-in period, followed by a 26-week treatment period, and a 4-week safety follow-up (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>). During the 8-week lead-in study period, all the individuals switch from premixed insulin or basal-bolus insulin to basal-bolus insulin. Initial insulin dose allocation: basal insulin accounted for 40-60% of the baseline total daily dose, and meal insulin accounted for another 40-60%. The unit of each meal was assigned by the researchers according to the subjects&#x2019; eating patterns. The subjects received a uniform basal insulin regimen during this period: insulin glargine U-100 once daily or insulin degludec U-100 once daily (all the subjects in our site received insulin glargine U-100). The basal insulin dose was titrated according to the median of the last three FBG during the 8-week lead-in period at least once a week, the titration algorithm was in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>. All subjects self-administered insulin lispro before each meal during the lead-in period, and the dose was adjusted under the guidance of the investigator. During the first 12 weeks after randomization (the intensive titration period), the insulin dose at breakfast was adjusted according to the median of the last three self-monitoring of blood glucose (SMBG) before lunch, the insulin dose at lunch was adjusted according to the median of the last three SMBG before dinner and the insulin dose at dinner was adjusted according to the median of the last three SMBG before bedtime at least once a week (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>). During 12 to 26 weeks (the maintenance period), neither prandial nor basal insulin were allowed to be adjusted, except for safety reasons such as hypoglycemia or unacceptable hyperglycemia. From the beginning of the 8-week lead-in period and during the 26-week treatment period, only stable dosing of metformin and/or sodium glucose cotransporter-2 inhibitors (SGLT2is) were continued, and other OAMs were discontinued. The investigator gave the subjects dietary guidance about the meal composition and size.</p>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>MMTT</title>
<p>A 4-hour mixed glucose tolerance test (MMTT) was determined for all the subjects at baseline (visit 8) and at the end of the primary treatment period (visit 18), where MMTT at V8 had to be performed before randomization. MMTT required the subjects to be on an empty stomach for at least 8 hours, and patients had to have a FBG range of 3.9-10.0 mmol/L before starting MMTT. The standard meal for MMTT was a liquid nutrient mixture, with individualized insulin doses at mealtime, injected within 0-2 minutes before mealtime, and the subjects completed their meal within 15 minutes, with 0 being the time at which the subject began eating. Venous blood was collected 15 minutes before the meal and 0,15,30,60,120,180 and 240 minutes after the start of the meal (8 times).</p>
</sec>
<sec id="s2_3_3">
<label>2.3.3</label>
<title>CGM</title>
<p>All recruited subjects were subjected to a two-time, 3-day, retrospective CGM (Sof-sensor, CGMS-Gold, Medtronic Incorporated, Northridge, USA) at 3 days before Visits 8 and 18, as described previously (<xref ref-type="bibr" rid="B38">38</xref>). During the two-time CGM period, subjects were instructed to maintain moderate physical activity and have breakfast, lunch, and dinner at 07:00, 11:00, and 17:00, respectively, with a total daily caloric intake of 25kcal/kg/day. The percentages of carbohydrates, proteins, and fats were 55%, 17%, and 28%, respectively. After the CGM data collection, glucose indicators, such as the 24hr mean glucose concentration (MBG), 24hr standard deviation of the MG (SD), coefficient of variation (CV), TIR (time in range), TAR (time above range), TBR (time below range), TITR (time in tight range), and postprandial glucose excursions (PPGE) were recorded.</p>
</sec>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Endpoints</title>
<p>The primary endpoint was to compare the difference of PPGE between the two groups used CGM. The secondary endpoint included HbA1c, other CGM data, hypoglycemia and weight gain.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>The sample size required was calculated using PASS 15.0. The level of significance, &#x3b1;, was set as 0.05, and the desired power of the study (1 &#x2212; &#x3b2;) was 90%. Assuming that the mean of PPGE was 2.2 and 2.9 for the URLi and insulin lispro groups, the hypothesized standard deviation (SD) was 0.7 and 0.75 in each group. The minimum number of subjects required was 56 and assuming a 20% drop out rate over 26 weeks. It was estimated that we need enrolled at least 70 subjects.</p>
<p>Data are presented as mean &#xb1; SD, median (interquartile range), or percentage as appropriate. Standard t test was used to compare normally distributed data, and the Wilcoxon test was used for asymmetrically distributed data. The categorical data were examined with chi-square test. All statistical analyses were performed using SPSS version 22.0 software (IBM Corp., USA). A p value &lt; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Demographic characteristics</title>
<p>Overall, 75 participants with T2D were assessed for eligibility, 18 participants did not meet the inclusion criteria. Thus, the CGM data of 57 participants were collected and analyzed at the endpoint (insulin lispro, n = 21; URLi, n = 36).</p>
<p>There were no differences in the demographic characteristics of participants between the two groups (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The baseline characteristics of subjects of the two groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Insulin lispro</th>
<th valign="top" align="left">URLi</th>
<th valign="top" align="left">p value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender (M/F)</td>
<td valign="top" align="left">12/9</td>
<td valign="top" align="left">20/17</td>
<td valign="top" align="left">0.820</td>
</tr>
<tr>
<td valign="top" align="left">Age (year)</td>
<td valign="top" align="left">62.00 &#xb1; 6.94</td>
<td valign="top" align="left">64.70 &#xb1; 9.49</td>
<td valign="top" align="left">0.490</td>
</tr>
<tr>
<td valign="top" align="left">Weight (kg)</td>
<td valign="top" align="left">65.45 &#xb1; 10.40</td>
<td valign="top" align="left">69.00 &#xb1; 9.05</td>
<td valign="top" align="left">0.180</td>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="left">24.47 &#xb1; 2.38</td>
<td valign="top" align="left">25.52 &#xb1; 2.69</td>
<td valign="top" align="left">0.144</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="left">20.76 &#xb1; 9.26</td>
<td valign="top" align="left">23.68 &#xb1; 14.80</td>
<td valign="top" align="left">0.419</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="left">19.62 &#xb1; 5.27</td>
<td valign="top" align="left">20.73 &#xb1; 9.82</td>
<td valign="top" align="left">0.633</td>
</tr>
<tr>
<td valign="top" align="left">Cr (mmol/L)</td>
<td valign="top" align="left">90.40 &#xb1; 30.83</td>
<td valign="top" align="left">78.05 &#xb1; 20.89</td>
<td valign="top" align="left">0.078</td>
</tr>
<tr>
<td valign="top" align="left">HbA1c (%)</td>
<td valign="top" align="left">8.71 &#xb1; 1.00</td>
<td valign="top" align="left">8.89 &#xb1; 1.14</td>
<td valign="top" align="left">0.549</td>
</tr>
<tr>
<td valign="top" align="left">FPG (mmol/L)</td>
<td valign="top" align="left">12.05 &#xb1; 4.43</td>
<td valign="top" align="left">12.40 &#xb1; 4.52</td>
<td valign="top" align="left">0.779</td>
</tr>
<tr>
<td valign="top" align="left">Insulin used at study entry (Basal-bolus insulin/Pre-mix insulin)</td>
<td valign="top" align="left">7/14</td>
<td valign="top" align="left">12/24</td>
<td valign="top" align="left">0.611</td>
</tr>
<tr>
<td valign="top" align="left">Time of Pre-mix insulin</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">0.264</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="left">12</td>
<td valign="top" align="left">23</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;3</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Time of Bolus insulin</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">0.253</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;3</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">10</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Insulin dose at study entry (U/d)</td>
<td valign="top" align="left">42.19 &#xb1; 15.07</td>
<td valign="top" align="left">39.47 &#xb1; 15.76</td>
<td valign="top" align="left">0.522</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">OAMs used at baseline</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;SGLT-2 inhibitors (n)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Metformin (n)</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">0.224</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; Cr, creatinine; FPG, fasting plasma glucose; HbA1C, Hemoglobin A1c; OAM, oral anti-diabetic medication.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>HbA1c</title>
<p>After 26 weeks of treatment, the HbA1c levels in the two groups significantly decreased (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Also in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, we showed that there were no differences in the HbA1c levels between the two groups at different stages of treatment. URLi was non-inferior to insulin lispro in terms of the changes in the HbA1c levels from baseline to week 26. The mean HbA1c level decreased by 1.1% in the URLi group and 0.99% in the insulin lispro group with no treatment difference (p = 0.642) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Different stages of treatment of HbA1c in the two groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">
</th>
<th valign="middle" align="center">V1</th>
<th valign="middle" align="center">V8</th>
<th valign="middle" align="center">V18</th>
<th valign="middle" align="center">&#x394;</th>
<th valign="middle" align="center">p value 1</th>
<th valign="middle" align="center">p value 2</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Insulin lispro</td>
<td valign="middle" align="center">8.71 &#xb1; 1.00</td>
<td valign="middle" align="center">7.78 &#xb1; 0.90</td>
<td valign="middle" align="center">6.80 &#xb1; 0.75</td>
<td valign="middle" align="center">-0.99 &#xb1; 0.80</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">0.000</td>
</tr>
<tr>
<td valign="middle" align="center">URLi</td>
<td valign="middle" align="center">8.89 &#xb1; 1.14</td>
<td valign="middle" align="center">7.88 &#xb1; 1.00</td>
<td valign="middle" align="center">6.77 &#xb1; 0.73</td>
<td valign="middle" align="center">-1.10 &#xb1; 0.94</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">0.000</td>
</tr>
<tr>
<td valign="middle" align="center">p value</td>
<td valign="middle" align="center">0.549</td>
<td valign="middle" align="center">0.723</td>
<td valign="middle" align="center">0.913</td>
<td valign="middle" align="center">0.642</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>P value 1: V18 vs. V1; P value 2: V18 vs. V8.</p>
</fn>
<fn>
<p>&#x394;: the change of HbA1c from V8 to V18 (V18-V8).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>MMTT</title>
<p>The superiority of URLi over insulin lispro in controlling 1-and 2-h PPG was demonstrated during the MMTT. Notably, 1-hour PPG was observed to decrease more in the URLi group than that in the insulin lispro group (-1.37 &#xb1; 3.28 mmol/L vs 0.24 &#xb1; 2.58mmol/L, p = 0.047). Also 2-hour PPG was observed to decrease more in the URLi group than that in the insulin lispro group (-1.12 &#xb1; 4.00 mmol/L vs 1.22 &#xb1; 2.90 mmol/L, p = 0.021) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>The MMTT profile of the two groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Time</th>
<th valign="middle" align="center">Insulin lispro</th>
<th valign="middle" align="center">URLi</th>
<th valign="middle" align="center">p value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">&#x394;-15min</td>
<td valign="middle" align="center">0.22 &#xb1; 1.71</td>
<td valign="middle" align="center">-0.12 &#xb1; 2.29</td>
<td valign="middle" align="center">0.532</td>
</tr>
<tr>
<td valign="middle" align="center">&#x394;0min</td>
<td valign="middle" align="center">0.37 &#xb1; 1.71</td>
<td valign="middle" align="center">-0.16 &#xb1; 2.15</td>
<td valign="middle" align="center">0.318</td>
</tr>
<tr>
<td valign="middle" align="center">&#x394;15min</td>
<td valign="middle" align="center">-0.05 &#xb1; 2.27</td>
<td valign="middle" align="center">-0.54 &#xb1; 2.55</td>
<td valign="middle" align="center">0.463</td>
</tr>
<tr>
<td valign="middle" align="center">&#x394;30min</td>
<td valign="middle" align="center">0.22 &#xb1; 3.00</td>
<td valign="middle" align="center">-1.05 &#xb1; 2.87</td>
<td valign="middle" align="center">0.128</td>
</tr>
<tr>
<td valign="middle" align="center">&#x394;60min</td>
<td valign="middle" align="center">0.24 &#xb1; 2.58</td>
<td valign="middle" align="center">-1.37 &#xb1; 3.28</td>
<td valign="middle" align="center">0.047</td>
</tr>
<tr>
<td valign="middle" align="center">&#x394;120min</td>
<td valign="middle" align="center">1.22 &#xb1; 2.90</td>
<td valign="middle" align="center">-1.12 &#xb1; 4.00</td>
<td valign="middle" align="center">0.021</td>
</tr>
<tr>
<td valign="middle" align="center">&#x394;180min</td>
<td valign="middle" align="center">1.51 &#xb1; 2.70</td>
<td valign="middle" align="center">-0.45 &#xb1; 4.93</td>
<td valign="middle" align="center">0.060</td>
</tr>
<tr>
<td valign="middle" align="center">&#x394;240min</td>
<td valign="middle" align="center">1.17 &#xb1; 3.20</td>
<td valign="middle" align="center">0.04 &#xb1; 3.92</td>
<td valign="middle" align="center">0.246</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x394;: V18-V8.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>CGM profile</title>
<p>Notably, MBG, SD, CV, TIR, TITR and TAR showed no significant differences between the two groups (p = 0.873, 0.582, 0.152, 0.465 and 0.542, respectively) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>The CGM profile of the two groups at the endpoint.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Parameter</th>
<th valign="middle" align="center">Insulin lispro</th>
<th valign="middle" align="center">URLi</th>
<th valign="middle" align="center">p value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">24 h MBG (mmol/L)</td>
<td valign="middle" align="center">7.80 &#xb1; 1.31</td>
<td valign="middle" align="center">7.73 &#xb1; 1.54</td>
<td valign="middle" align="center">0.873</td>
</tr>
<tr>
<td valign="middle" align="center">SD (mmol/L)</td>
<td valign="middle" align="center">1.90 &#xb1; 0.87</td>
<td valign="middle" align="center">2.05 &#xb1; 0.92</td>
<td valign="middle" align="center">0.582</td>
</tr>
<tr>
<td valign="middle" align="center">CV (%)</td>
<td valign="middle" align="center">22.46 &#xb1; 6.71</td>
<td valign="middle" align="center">25.74 &#xb1; 9.32</td>
<td valign="middle" align="center">0.152</td>
</tr>
<tr>
<td valign="middle" align="center">TIR (%)</td>
<td valign="middle" align="center">84.42 &#xb1; 15.86</td>
<td valign="middle" align="center">80.89 &#xb1; 17.34</td>
<td valign="middle" align="center">0.465</td>
</tr>
<tr>
<td valign="middle" align="center">TITR (%)</td>
<td valign="middle" align="center">69.26 &#xb1; 19.72</td>
<td valign="middle" align="center">65.87 &#xb1; 22.15</td>
<td valign="middle" align="center">0.581</td>
</tr>
<tr>
<td valign="middle" align="center">TAR (%)</td>
<td valign="middle" align="center">0.00 (0.00, 0.18)</td>
<td valign="middle" align="center">0.00 (0.00, 6.51)</td>
<td valign="middle" align="center">0.196</td>
</tr>
<tr>
<td valign="middle" align="center">TBR (%)</td>
<td valign="middle" align="center">7.29 (0.00, 19.88)</td>
<td valign="middle" align="center">8.33 (0.00, 17.53)</td>
<td valign="middle" align="center">0.969</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CV, coefficient of variation (%); MBG, mean glucose concentration (mmol/L); SD, the standard deviation of the MBG (mmol/L); TAR, time above range (&gt; 10.0 mmol/L) (%); TBR, time below range (&lt; 3.9 mmol/L) (%); TIR, time in range (3.9 - 10 mmol/L) (%); TITR (%): time in tight range (3.9 &#x2013; 7.8 mmol/L) (%).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>PPGE was calculated as the peak value of glucose after meals minus the glucose level at the beginning of each meal. The BPPGE (PPGE of breakfast) in the URLi group was lower than that in the insulin lispro group (1.59 &#xb1; 1.57 mmol/L vs 2.51 &#xb1; 1.73 mmol/L, p =0.046). The LPPGE (PPGE of lunch) and DPPGE (PPGE of dinner) did not differ between the two groups (p = 0.759 and 0.262, respectively) (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). The time to achieve the peak value of glucose after each meal had no difference between the two groups (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). TIR and TAR after each meals also showed no significant differences between the two groups (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>The difference of the PPGE before and after treatment between the two groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Insulin lispro</th>
<th valign="middle" align="center">URLi</th>
<th valign="middle" align="center">p value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="4" align="left">BPPGE (mmol/L)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">2.99 &#xb1; 2.31</td>
<td valign="middle" align="center">3.95 &#xb1; 2.93</td>
<td valign="middle" align="center">0.314</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">2.51 &#xb1; 1.73</td>
<td valign="middle" align="center">1.59 &#xb1; 1.57</td>
<td valign="middle" align="center">0.046</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">peak time after breakfast(min)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">98.53 &#xb1; 52.70</td>
<td valign="middle" align="center">95.54 &#xb1; 51.23</td>
<td valign="middle" align="center">0.778</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">88.23 &#xb1; 50.25</td>
<td valign="middle" align="center">77.94 &#xb1; 43.87</td>
<td valign="middle" align="center">0.423</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">LPPGE (mmol/L)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">4.07 &#xb1; 4.36</td>
<td valign="middle" align="center">3.04 &#xb1; 2.42</td>
<td valign="middle" align="center">0.750</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">2.27 &#xb1; 1.81</td>
<td valign="middle" align="center">2.24 &#xb1; 1.86</td>
<td valign="middle" align="center">0.759</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">peak time after lunch(min)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">85.67 &#xb1; 66.70</td>
<td valign="middle" align="center">65.71 &#xb1; 42.60</td>
<td valign="middle" align="center">0.444</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">64.21 &#xb1; 28.25</td>
<td valign="middle" align="center">67.18 &#xb1; 40.05</td>
<td valign="middle" align="center">0.824</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">DPPGE (mmol/L)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">3.93 &#xb1; 4.30</td>
<td valign="middle" align="center">2.91 &#xb1; 2.31</td>
<td valign="middle" align="center">0.731</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">1.99 &#xb1; 1.56</td>
<td valign="middle" align="center">2.60 &#xb1; 1.88</td>
<td valign="middle" align="center">0.262</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">peak time after dinner(min)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">87.67 &#xb1; 77.04</td>
<td valign="middle" align="center">77.50 &#xb1; 48.81</td>
<td valign="middle" align="center">0.888</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">73.16 &#xb1; 55.13</td>
<td valign="middle" align="center">77.21 &#xb1; 50.78</td>
<td valign="middle" align="center">0.689</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BPPGE, postprandial glucose excursions of breakfast (mmol/L); DPPGE, postprandial glucose excursions of dinner (mmol/L); LPPGE, postprandial glucose excursions of lunch (mmol/L).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>The difference of the postprandial 2h and 4h TIR/TAR before and after treatment between the two groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Insulin lispro</th>
<th valign="middle" align="center">URLi</th>
<th valign="middle" align="center">p value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="4" align="left">TIR-2hB (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">82.02 &#xb1; 31.95</td>
<td valign="middle" align="center">73.28 &#xb1; 33.76</td>
<td valign="middle" align="center">0.362</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">83.33 &#xb1; 29.22</td>
<td valign="middle" align="center">85.05 &#xb1; 23.91</td>
<td valign="middle" align="center">0.821</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TIR-2hL (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">62.50 (20.83, 95.83)</td>
<td valign="middle" align="center">66.67 (9.38, 100.00)</td>
<td valign="middle" align="center">0.873</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">90.28 &#xb1; 20.56</td>
<td valign="middle" align="center">86.76 &#xb1; 28.36</td>
<td valign="middle" align="center">0.645</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TIR-2hD (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">70.83 (20.83, 100.00)</td>
<td valign="middle" align="center">66.67 (3.13, 100.00)</td>
<td valign="middle" align="center">0.679</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">82.41 &#xb1; 29.17</td>
<td valign="middle" align="center">89.22 &#xb1; 25.89</td>
<td valign="middle" align="center">0.392</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TAR-2hB (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">0.00 (0.00, 33.33)</td>
<td valign="middle" align="center">0.00 (0.00, 42.71)</td>
<td valign="middle" align="center">0.211</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">0.00 (0.00, 19.79)</td>
<td valign="middle" align="center">0.00 (0.00, 14.58)</td>
<td valign="middle" align="center">0.424</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TAR-2hL (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">16.67 (0.00, 66.67)</td>
<td valign="middle" align="center">33.33 (0.00, 90.63)</td>
<td valign="middle" align="center">0.438</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">0.00 (0.00, 0.00)</td>
<td valign="middle" align="center">0.00 (0.00, 0.00)</td>
<td valign="middle" align="center">0.793</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TAR-2hD (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">29.17 (0.00, 79.17)</td>
<td valign="middle" align="center">33.33 (0.00, 96.88)</td>
<td valign="middle" align="center">0.808</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">0.00 (0.00, 39.58)</td>
<td valign="middle" align="center">0.00 (0.00, 0.00)</td>
<td valign="middle" align="center">0.206</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TIR-4hB (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">78.95 &#xb1; 28.43</td>
<td valign="middle" align="center">64.15 &#xb1; 35.77</td>
<td valign="middle" align="center">0.148</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">79.51 &#xb1; 28.50</td>
<td valign="middle" align="center">83.27 &#xb1; 20.67</td>
<td valign="middle" align="center">0.588</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TIR-4hL (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">47.92 (18.75, 89.58)</td>
<td valign="middle" align="center">50.00 (20.83, 90.63)</td>
<td valign="middle" align="center">0.838</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">85.76 &#xb1; 23.29</td>
<td valign="middle" align="center">85.60 &#xb1; 28.32</td>
<td valign="middle" align="center">0.983</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TIR-4hD (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">68.75 (14.58, 100.00)</td>
<td valign="middle" align="center">45.83 (8.33, 81.77)</td>
<td valign="middle" align="center">0.524</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">83.10 &#xb1; 25.31</td>
<td valign="middle" align="center">84.99 &#xb1; 26.61</td>
<td valign="middle" align="center">0. 806</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TAR-4hB (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">8.33 (0.00, 37.50)</td>
<td valign="middle" align="center">21.88 (0.00, 60.94)</td>
<td valign="middle" align="center">0.150</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">0.00 (0.00, 43.75)</td>
<td valign="middle" align="center">0.00 (0.00, 25.52)</td>
<td valign="middle" align="center">0.856</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TAR-4hL (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">39.58 (0.00, 81.25)</td>
<td valign="middle" align="center">44.79 (9.38, 79.17)</td>
<td valign="middle" align="center">0.716</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">0.00 (0.00, 12.50)</td>
<td valign="middle" align="center">0.00 (0.00, 0.00)</td>
<td valign="middle" align="center">0.463</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TAR-4hD (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Baseline</td>
<td valign="middle" align="center">31.25 (0.00, 81.25)</td>
<td valign="middle" align="center">46.88 (0.00, 91.67)</td>
<td valign="middle" align="center">0.977</td>
</tr>
<tr>
<td valign="middle" align="center">Endpoint</td>
<td valign="middle" align="center">0.00 (0.00, 24.48)</td>
<td valign="middle" align="center">0.00 (0.00, 21.35)</td>
<td valign="middle" align="center">0.338</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>TAR-2hB: time above range (&gt; 10 mmol/L) from 0 to 120 minutes after the start of the breakfast; TAR-2hD, TAR from 0 to 120 minutes after the start of the dinner; TAR-2hL, TAR from 0 to 120 minutes after the start of the lunch; TAR-4hB, TAR from 0 to 240 minutes after the start of the breakfast; TAR-4hD, TAR from 0 to 240 minutes after the start of the dinner; TAR-4hL, TAR from 0 to 240 minutes after the start of the lunch; TIR-2hB, time in range (3.9 - 10 mmol/L) from 0 to 120 minutes after the start of the breakfast; TIR-2hD, TIR from 0 to 120 minutes after the start of the dinner; TIR-2hL, TIR from 0 to 120 minutes after the start of the lunch; TIR-4hB, TIR from 0 to 240 minutes after the start of the breakfast; TIR-4hD, TIR from 0 to 240 minutes after the start of the dinner; TIR-4hL, TIR from 0 to 240 minutes after the start of the lunch.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Although the CGM data showed that individuals in the two groups had similar hourly blood glucose concentrations per hour at the baseline, except at 12:00, the hourly MBG concentration at 12:00 in the URLi group was significantly higher than it in the insulin lispro group (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). At the endpoint, the hourly MBG concentrations at 9:00, 10:00, 11:00, 12:00 in the URLi group were significantly lower than those in the insulin lispro group (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>hourly blood glucose concentrations per hour in 24h (<bold>A</bold>: at the baseline; <bold>B</bold>: at the endpoint). *: p &lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1364585-g001.tif"/>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Safety and weight gain</title>
<p>We also compared the risk of severe hypoglycemia (glucose &lt;3.9 mmol/L) between the two groups. Subjects in the URLi group did not show an increased number of hypoglycemic episodes compared with those in the insulin lispro group.</p>
<p>TBR was not significantly different between the two groups (p = 0.743) in the CGM profile (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<p>The body weight at baseline and endpoint both did not differ between the two groups. The weight gain in the URLi group did not significantly differ from that in the insulin lispro group (2.74 &#xb1; 2.36 kg vs 2.95 &#xb1; 2.81 kg, p = 0.303).</p>
<p>At the endpoint, the basal insulin dose did not differ between the two groups, and the bolus insulin dose also did not differ between the two groups (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>insulin dose between the two groups at the endpoint.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1364585-g002.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This prospective study showed that individuals with T2D who received URLi with basal insulin had better postprandial glycemic control than those who received lispro with basal insulin.</p>
<p>Overall, the results of this study suggest that URLi may provide a glycemic control comparable to lispro insulin in individuals with T2D who have significantly elevated PPG. In individuals with T2D, PPG levels typically peak about 2 hours after a meal (<xref ref-type="bibr" rid="B39">39</xref>). The increase in PPG is due to loss of insulin secretion in the first phase, decreased insulin sensitivity in peripheral tissues, and decreased suppression of hepatic glucose production after meals (<xref ref-type="bibr" rid="B40">40</xref>). Bolus pre-meal insulin treatment reduces PPGE in T2D (<xref ref-type="bibr" rid="B41">41</xref>) The first generation of fast acting insulin analogs has shown better PPGE regulation than standard human insulin. However, there is still an unmet need for insulin analogs with faster onset and a shorter duration of action that could potentially contribute to better PPG control than the rapid-acting insulin analogs (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>).</p>
<p>Although there was no clinically significant difference in HbA1c reduction between the URLi groups and the lispro insulin group in the study. It is known that HbA1c measurements can be influenced by factors other than glucose levels (<xref ref-type="bibr" rid="B44">44</xref>), such as hemoglobinopathies, red blood cell survival, and metabolic factors that influence the glycation response. Information about glycemic variability or the distinction between fasting, preprandial and PPG is not accurately reflected by the HbA1c value (<xref ref-type="bibr" rid="B45">45</xref>). It is therefore not surprising that the HbA1c value may not accurately reflect the improvement in average daily blood glucose levels, particularly the reduction in PPGE in individuals treated with URLi. A 1-h plasma glucose cut off of 155 mg/dL post oral glucose tolerance test (OGTT) is an important predictor of developing T2D (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). PPGE is also associated with inflammation, thrombosis, endothelial dysfunction and the development of oxidative stress, all of which may contribute to the pathogenesis of cardiovascular disease (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). Elevated 2-hour PPG levels are associated with an increased risk of cardiovascular events and mortality (<xref ref-type="bibr" rid="B50">50</xref>).The MMTT assessment (at breakfast) showed that URLi lowered 1-hour and 2-hour PPG levels and excursions as effectively or in some cases (in the early post-meal phase), even more effectively than pre-meal insulin lispro.</p>
<p>Similarly, CGM profile results at baseline and after 26 weeks of treatment showed that URLi was more effective than insulin lispro in lowering PPG levels and PPGE after breakfast. The effect of URLi was greatest during breakfast. The most important finding of this study is that URLi works particularly well at breakfast, a meal with a high physiological demand for insulin. The BPPGE in the URLi group was lower than it in the insulin lispro group, the URLi can improve the PPGE of breakfast. The peak PPG after breakfast was relatively the highest and reached the peak value the fastest, indicating severe acute postprandial hyperglycemia. In addition to the influence of dietary habits, this was also related to the peak effect of glucose- increasing hormones such as cortisol during this period.</p>
<p>Our results showed a similar safety profile for URLi and insulin lispro. Importantly, the improvement in PPG control with URLi was not associated with an increase in hypoglycemic events.</p>
<p>There was no previous study investigating the efficacy and safety of URLi in the treatment of T2D with CGM. This study has highlighted that URLi can improve PPG more than insulin lispro. One strength of the study is the use of CGM, which can capture more detailed information about blood glucose levels than SMBG and HbA1c, such as PPGE, SD, TIR, TAR and TBR. One limitation of the study is that it did not assess &#x3b2;-cell function in those with T2D. Thus, the result did not account for differences in the efficacy of URLi in individuals with different islet function.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>In conclusion, this study shows that URLi can control breakfast PPG better than insulin lispro in adults with T2D in China, while being non-inferior in improving HbA1c. The incidence of hypoglycemic and weight gain were similar in both groups.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Institutional Ethics Committee of Nanjing First Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>LY: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Investigation, Formal analysis. YiL: Writing &#x2013; original draft. YoL: Writing &#x2013; original draft, Investigation. BD: Writing &#x2013; original draft, Investigation. PZ: Writing &#x2013; original draft, Investigation. JM: Writing &#x2013; review &amp; editing, Project administration, Investigation, Funding acquisition. JW: Writing &#x2013; review &amp; editing, Investigation.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the Nanjing Health Science and Technology Development Special Fund Project Plan (ZKX22038).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fendo.2024.1364585/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2024.1364585/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.jpeg" id="SM1" mimetype="image/jpeg"/>
<supplementary-material xlink:href="Table_1.docx" id="ST1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>URLi, ultra rapid lispro insulin; PPG, postprandial glucose; PPGE, postprandial glucose excursions.</p>
</fn>
</fn-group>
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