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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.2022.1109807</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>Nomogram based on a circular RNA biomarker for predicting the likelihood of successful sperm retrieval <italic>via</italic> microdissection testicular sperm extraction in patients with idiopathic non-obstructive azoospermia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Shengjia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1085930"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Tianwei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Mingjuan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Reproductive Center, Northwest Women&#x2019;s and Children&#x2019;s Hospital</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Pathology, Northwest Women&#x2019;s and Children&#x2019;s Hospital</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Atsushi P. Kimura, Hokkaido University, Japan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Ryoma Yoneda, Saitama Medical University, Japan; Paul Jacob Turek, University of California, San Francisco, Untied States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Mingjuan Wang, <email xlink:href="mailto:wangmj1982@126.com">wangmj1982@126.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Reproduction, a section of the journal Frontiers in Endocrinology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>1109807</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Shi, Wang, Wang and Wang</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Shi, Wang, Wang and Wang</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>Background</title>
<p>Many circular RNAs (circRNAs) are specifically expressed in the testes and seminal plasma of patients with non-obstructive azoospermia (NOA), highlighting them as potential predictors of microdissection testicular sperm extraction (micro-TESE) outcomes. Although research has indicated that circular RNA monoglyceride lipase (circ_MGLL) is highly expressed in the testicular tissues of patients with NOA, the association between circ_MGLL expression and sperm retrieval outcomes (SROs) in patients with idiopathic non-obstructive azoospermia (iNOA) receiving micro-TESE remains unclear.</p>
</sec>
<sec>
<title>Methods</title>
<p>This single-center, retrospective cohort study enrolled 114 patients with iNOA who underwent micro-TESE at Northwest Women&#x2019;s and Children&#x2019;s Hospital from January 2017 to November 2021.&#xa0;A logistic regression model was used to examine associations between SRO and circ_MGLL expression in testicular tissues, the results of which were used in conjunction with previous findings to establish a nomogram. The predictive performance of the circ_MGLL-based nomogram was evaluated <italic>via</italic> calibration curves, receiver operating characteristic curves, and decision curve analysis (DCA) using an internal validation method.</p>
</sec>
<sec>
<title>Results</title>
<p>The generalized additive model indicated that the probability of successful SRO for micro-TESE decreased as circ_MGLL expression increased in testicular tissues. Across the entire cohort, univariate logistic regression analysis revealed that circ_MGLL expression was inversely associated with SRO in patients with NOA. This trend did not change after stratification according to age, body mass index, testicular volume, follicle-stimulating hormone (FSH) level, luteinizing hormone (LH) level, testosterone (T) level, or pathological type (or after adjusting for these confounders) (odds ratio &lt;1, <italic>P</italic> &lt; 0.001). A nomogram was then generated by integrating circ_MGLL, pathological types, and FSH, LH, and T levels. The circ_MGLL-based predictive model achieved satisfactory discrimination, with an area under the curve of 0.857, and the calibration curves demonstrated impressive agreement. The DCA indicated that the net clinical benefit of the circ_MGLL-based predictive model was greater than that of circ_MGLL alone.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>circ_MGLL is significantly associated with the SRO of micro-TESE in patients with iNOA. The circ_MGLL-based nomogram developed in the current study can predict successful SRO with high accuracy.</p>
</sec>
</abstract>
<kwd-group>
<kwd>circ_MGLL</kwd>
<kwd>idiopathic non-obstructive azoospermia</kwd>
<kwd>microdissection testicular sperm extraction</kwd>
<kwd>sperm retrieval</kwd>
<kwd>decision curve analysis</kwd>
</kwd-group>
<contract-sponsor id="cn001">Xi'an Municipal Bureau of Science and Technology<named-content content-type="fundref-id">10.13039/501100008387</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Shaanxi Provincial Health Commission<named-content content-type="fundref-id">10.13039/501100020209</named-content>
</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="11"/>
<word-count count="5137"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Azoospermia is characterized by the complete absence of spermatozoa in the ejaculate semen, occurring in approximately 1% of all men and 10%&#x2013;15% of infertile men (<xref ref-type="bibr" rid="B1">1</xref>). However, in some cases, intracytoplasmic sperm injection treatment can be performed after obtaining sperm through microdissection testicular sperm extraction (micro-TESE) (<xref ref-type="bibr" rid="B2">2</xref>). Among the types of non-obstructive azoospermia (NOA), idiopathic NOA (iNOA) presents a particular clinical challenge given the lack of a clear etiology, absence of effective treatments, and poorest sperm retrieval outcomes (SROs) following micro-TESE (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Regrettably, micro-TESE is only successful in approximately 50% of patients with NOA (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Although research has identified various factors related to SRO, such as testicular volume (TV) and hormonal levels [<italic>e</italic>.<italic>g</italic>., follicle-stimulating hormone (FSH), luteinizing hormone (LH), and testosterone (T)] (<xref ref-type="bibr" rid="B5">5</xref>), reliable molecular biomarkers for predicting SROs following micro-TESE in patients with iNOA remain to be identified.</p>
<p>Testicular biopsy is an important invasive procedure for evaluating testicular spermatogenesis (<xref ref-type="bibr" rid="B7">7</xref>). However, whether testicular biopsy is necessary before micro-TESE remains controversial. Because spermatogenic foci are few and scattered in patients with iNOA, biopsied testicular tissues may not reflect spermatogenesis in other parts of the testis. Thus, some studies have pointed out that testicular biopsy only contributes to the pathological classification of the biopsied tissues and has limited value in the prediction of SROs following micro-TESE (<xref ref-type="bibr" rid="B8">8</xref>). Meanwhile, open testicular biopsy increases the risk of testicular injury and bleeding (<xref ref-type="bibr" rid="B9">9</xref>). However, other studies have confirmed that testicular biopsy is of major predictive significance in the context of micro-TESE outcomes. Mao et&#xa0;al. reported extremely poor SROs (11% success) in patients with iNOA whose biopsy results indicated an absence of sperm in both the intraoperative microscopic examination and the post-pathological examination&#x2014;a rate far below that observed for patients with iNOA exhibiting identifiable sperm in even just one of the two examinations (<xref ref-type="bibr" rid="B10">10</xref>). Cao et&#xa0;al. also found significantly different profiles of PIWI-interacting RNA (piRNA) between successful and failed micro-TESE procedures among patients with NOA, providing insight into strategies for identifying biomarkers that can predict residual spermatogenic loci in this population (<xref ref-type="bibr" rid="B11">11</xref>). Our collaborators also reported obvious upregulation of beclin-1 in the Sertoli cell-only syndrome (SCOS) group, which was further identified as an important predictor of SRO failure in micro-TESE (<xref ref-type="bibr" rid="B12">12</xref>). Taken together, these findings indicate that different histopathological outcomes and differentially expressed genes in testicular tissues obtained during micro-TESE or testicular biopsy may, in part, reflect the extent of spermatogenesis within the whole testis, suggestive of the potential value for predicting SROs following micro-TESE in patients with NOA.</p>
<p>Circular RNAs (circRNAs) are a new class of endogenous non-coding RNAs that covalently bind to a closed circular structure without a 5&#x2032; end cap and a 3&#x2032; end poly(A) tail (<xref ref-type="bibr" rid="B13">13</xref>). Several studies have confirmed that circRNAs play a pivotal role in regulating gene expression and cell fate (<xref ref-type="bibr" rid="B14">14</xref>). Many circular RNAs (circRNAs) are specifically expressed in the testis and seminal plasma of patients with NOA (<xref ref-type="bibr" rid="B15">15</xref>) and can be used as predictors of the outcome of micro-TESE (<xref ref-type="bibr" rid="B16">16</xref>). However, research regarding the expression and function of circRNAs in spermatogenesis is still in its infancy. Our collaborators have shown that approximately 1,000 circRNAs, including circ_0008045 (circular RNA monoglyceride lipase, circ_MGLL), are differentially dysregulated in testicular tissues between NOA and obstructive azoospermia (<xref ref-type="bibr" rid="B17">17</xref>). Previous studies have indicated that the expression of monoglyceride lipase (MGLL), an important downstream factor involved in triglyceride catabolism, is very low in germ cells but is specifically abundant in Sertoli cells, indicating that MGLL is a potential functional regulator of Sertoli cells (<xref ref-type="bibr" rid="B18">18</xref>). More importantly, silencing the expression of circ_MGLL results in an increase in the proliferation of Sertoli cells (<xref ref-type="bibr" rid="B19">19</xref>). However, many studies have reported that changes in the population or function of Sertoli cells are among the main factors leading to defective spermatogenesis (<xref ref-type="bibr" rid="B20">20</xref>). Nevertheless, the clinical relevance of circ_MGLL in patients with iNOA remains to be determined.</p>
<p>In the current study, we discovered that circ_MGLL, a circRNA generated from the circularization of the MGLL gene, was significantly upregulated in the testicular tissues of patients with iNOA in the SRO-failure group. Detailed univariate and multivariate logistic analyses were conducted to further clarify the relationship between circ_MGLL and SRO. Furthermore, stratified analyses were performed to determine whether the correlation between circ_MGLL and SRO remained within different subgroups, thus distinguishing our study from previous research. Finally, receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were performed to analyze the ability of circ_MGLL to predict SROs.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Patients and specimens</title>
<p>This single-center, retrospective cohort study enrolled 114 patients with iNOA who underwent micro-TESE at Northwest Women&#x2019;s and Children&#x2019;s Hospital from January 2017 to November 2021. The inclusion criteria for all cases have been described in our previously published article (<xref ref-type="bibr" rid="B12">12</xref>). The study was approved by the Ethics Review Board of Northwest Women&#x2019;s and Children&#x2019;s Hospital (ethical review number: 2021-XBFE-023). Written informed consent for the use of their testis biopsies and anonymized data for research purposes was obtained from the participants before micro-TESE. All procedures were performed in accordance with the ethical standards of the responsible committee on human experimentation or the Helsinki Declaration of 1975.</p>
<p>The inclusion criteria were as follows (1): a history of infertility of not less than 1 year, (2) no sperm detected in three semen analyses, and (3) completion of micro-TESE to obtain sperm. The exclusion criteria were (1) a diagnosis of congenital absence of the vas deferens, (2) abnormal seminal fructose or neutral &#x3b1;-glucosidase, (3) absence of seminal glands, (4) other obstructive factors accounting for azoospermia, (5) lack of Johnsen scores after micro-TESE surgery, (6) abnormal chromosome karyotype, (7) microdeletions in the azoospermia factor (AZF) c region of the Y chromosome, (8) a history of cryptorchidism, and (9) a history of cryptorchidism.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>micro-TESE</title>
<p>The patients underwent the micro-TESE procedure as described in our previous study (<xref ref-type="bibr" rid="B12">12</xref>). Briefly, the TV was measured in a standard surgical room. Then, a longitudinal incision on the tunica albuginea of the testes was made to reveal the seminiferous tubules. Tubules with a full appearance and opacity, suggestive of possible sperm production, were gently dissected and placed in a Petri dish. An experienced embryologist dissected the seminiferous tubules and assessed the presence of sperms using a specialized microscope. A positive result was confirmed when at least one sperm sample was obtained. Thereafter, a large fragment of testicular tissue measuring approximately 8 &#xd7; 4 &#xd7; 3 mm<sup>3</sup> was cut for histopathological examination, regardless of whether the sperm had been harvested successfully.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Pathological examination and Johnsen score</title>
<p>Testicular tissue samples were fixed in Bouin&#x2019;s solution for 24&#xa0;h and embedded in paraffin. The slides were then stained with hematoxylin and eosin solution. Subsequently, all slides were observed under a microscope by two pathologists. The level of spermatogenesis in each testicular biopsy sample was measured based on the Johnsen score system as previously described (<xref ref-type="bibr" rid="B21">21</xref>). Patients with iNOA who had Johnsen scores of 1 to 2 were identified as having Sertoli cell-only syndrome (SCOS), those with Johnsen scores of 3&#x2013;7 were identified as having maturation arrest (MA), and those with Johnsen scores of 8 to 9 were identified as having hypo-spermatogenesis (HS). Typical photomicrographs of the different Johnsen scores are presented in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>RNA extraction and quantitative real-time polymerase chain reaction</title>
<p>Total RNA was extracted from testicular tissues using a paraffin-embedded tissue section total RNA extraction kit (Tiangen, Beijing, China) in accordance with the manufacturer&#x2019;s instructions. For circ_MGLL quantification, a one-step prime-script-circRNA cDNA synthesis kit was used to convert the total RNA to cDNA. Then, the SYBR premix Ex Taq kit (Takara, Japan) and specific circRNA LNATM PCR primers (Exiqon, Denmark) were used to perform real-time polymerase chain reaction (RT-PCR). Data were analyzed using 7500 software v.2.0.1 (Applied Biosystems, USA), with the automatic Ct setting for adapting the baseline and threshold for Ct determination. Each sample was examined in triplicate, and the amount of PCR product produced was normalized to GAPDH. The primers used for circ_MGLL were 5&#x2032;-GCCTACCTGCTCATGGAGTT-3&#x2032; (forward) and 5&#x2032;-AGACGGCATTCAGCAGTTG-3&#x2032; (reverse). The primers used for GAPDH were 5&#x2032;-AATCCCATCACCATCTTCCA-3&#x2032; (forward) and 5&#x2032;-TGGACTCCACGACGTACTCA-3&#x2032; (reverse).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analyses</title>
<p>Statistical analysis was performed using IBM SPSS version 23.0 (International Business Machines Corporation, USA), R software (<uri xlink:href="http://www.R-project.org">http://www.R-project.org</uri>, The R Foundation), and EmpowerStats (<uri xlink:href="http://www.empowerstats.com">http://www.empowerstats.com</uri>, X&amp;Y Solutions, Inc., Boston, MA, USA). Continuous variables are presented as the mean &#xb1; standard deviation (SD) and were compared using one-way analysis of variance (ANOVA) and the Kruskal&#x2013;Wallis test in cases of normally and non-normally distributed data, respectively. Categorical data are presented as percentages and were compared using chi-square tests. A generalized additive model was used for smooth curve fitting to evaluate the relationship between circ_MGLL expression and successful SRO probability. The odds ratios (OR) and 95% confidence intervals (CIs) of SRO according to adjusted or unadjusted for potential confounders were evaluated using univariate and multivariate logistic regression models. Stratified analyses were conducted according to age (years), body mass index (BMI, kg/m<sup>2</sup>), average TV (ml), FSH (IU/L), LH (IU/L), T (ng/dl), and pathological type. A nomogram integrating circ_MGLL, pathological type, and serum hormone levels was established to predict the probability of successful SRO. Subsequently, the original data were divided into a training set (<italic>n</italic> = 58, successful SRO: 29, failed SRO: 29) and a validation set (<italic>n</italic> = 56, successful SRO: 18, failed SRO: 38), and the predictive performance of the circ_MGLL-based nomogram was evaluated in the training set and internally validated <italic>via</italic> bootstrapping with 500 resamples. The accuracy of the circ_MGLL-based nomogram was assessed using calibration curves, ROC, and DCA. All <italic>P</italic>-values were generated using two-sided tests, and statistical significance was set at <italic>P &lt;</italic>0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Participants&#x2019; characteristics</title>
<p>In accordance with the inclusion and exclusion criteria depicted in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, 114 patients with iNOA in our hospital were included in the final analysis. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows the clinical characteristics of these 114 patients with iNOA who were classified into success (47, 41.228%) and failure (67, 58.772%) groups based on the SRO of micro-TESE. There were no significant differences in age, TV, FSH levels, LH levels, or T levels between the two groups (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Although successful SROs were more common in patients with pathological type MA or HS than in those with type SCOS, the differences among the three groups were not significant (<italic>P</italic> = 0.067, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow diagram of patient selection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-1109807-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinical characteristics of idiopathic non-obstructive azoospermia patients receiving micro-testicular sperm extraction.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Failure (<italic>n</italic> = 67)</th>
<th valign="top" align="center">Success (<italic>n</italic> = 47)</th>
<th valign="top" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">C<bold>ircular RNA monoglyceride lipase</bold>
</td>
<td valign="top" align="center">6.617 &#xb1; 2.124</td>
<td valign="top" align="center">3.903 &#xb1; 1.698</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age (years)</bold>
</td>
<td valign="top" align="center">30.090 &#xb1; 3.311</td>
<td valign="top" align="center">30.064 &#xb1; 3.300</td>
<td valign="top" align="left">0.967</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>B</bold>MI <bold>(kg* m<sup>-2</sup>)</bold>
</td>
<td valign="top" align="center">24.784 &#xb1; 3.117</td>
<td valign="top" align="center">25.564 &#xb1; 3.803</td>
<td valign="top" align="left">0.232</td>
</tr>
<tr>
<td valign="top" align="left">F<bold>ollicle-stimulating hormone (IU/L)</bold>
</td>
<td valign="top" align="center">22.033 &#xb1; 13.166</td>
<td valign="top" align="center">21.413 &#xb1; 10.930</td>
<td valign="top" align="left">0.791</td>
</tr>
<tr>
<td valign="top" align="left">L<bold>uteinizing hormone (IU/L)</bold>
</td>
<td valign="top" align="center">9.944 &#xb1; 8.951</td>
<td valign="top" align="center">8.980 &#xb1; 4.865</td>
<td valign="top" align="left">0.504</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Testosterone (ng/</bold>dl<bold>)</bold>
</td>
<td valign="top" align="center">412.914 &#xb1; 191.582</td>
<td valign="top" align="center">392.904 &#xb1; 178.437</td>
<td valign="top" align="left">0.574</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>TV (ml)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">0.282</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2264;10</bold> ml</td>
<td valign="top" align="center">61.2 (41)</td>
<td valign="top" align="center">51.1 (24)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>&gt;10</bold> ml</td>
<td valign="top" align="center">38.8 (26)</td>
<td valign="top" align="center">48.9 (23)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Pathological type</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">0.067</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SCOS</bold>
</td>
<td valign="top" align="center">49.3 (33)</td>
<td valign="top" align="center">34.0 (16)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>MA</bold>
</td>
<td valign="top" align="center">47.8 (32)</td>
<td valign="top" align="center">53.2 (25)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>HS</bold>
</td>
<td valign="top" align="center">3.0 (2)</td>
<td valign="top" align="center">12.8 (6)</td>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; TV, testicular volume; SCOS, Sertoli cell-only syndrome; MA, maturation arrest; HS, hypo-spermatogenesis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Relative expression of circ_MGLL in the testicular tissues of patients with iNOA</title>
<p>We investigated circ_MGLL levels in paraffin sections of testicular tissues from 114 patients with iNOA. When compared with the level observed in the failure group, the relative expression of circ_MGLL was downregulated in testicular tissues obtained from the successful SRO group (<italic>P</italic> &lt; 0.001, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). In addition, a generalized additive model analysis revealed a negative correlation between circ_MGLL expression and the probability of successful SRO (<italic>P</italic> &lt; 0.001, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). More importantly, although we observed that circ_MGLL expression was higher in patients with SCOS than in those with HS or MA, this difference was not statistically significant (<italic>P</italic> = 0.069, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Relationships between circ_MGLL expression and successful SRO in patients with iNOA undergoing micro-TESE. <bold>(A)</bold> Relative expression of circ_MGLL in the testicular tissues of patients with successful and failed SRO. <bold>(B)</bold> Dose&#x2013;response relationship between the relative expression of circ_MGLL and the probability of successful SRO. The adjustment factors included all baseline covariates: age, BMI, TV, FSH, LH, T, and pathological type. The filled and hollow circles represent the estimated values and their corresponding 95% confidence intervals. circ_MGLL, circular RNA monoglyceride lipase; SRO, sperm retrieval outcome; iNOA, idiopathic non-obstructive azoospermia; micro-TESE, microdissection testicular sperm extraction; BMI, body mass index; TV, testicular volume; FSH, follicle-stimulating hormone; LH, luteinizing hormone; T, testosterone. *P&lt;0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-1109807-g002.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The relationships between circ_MGLL expression and pathological classification of iNOA patients receiving micro-testicular sperm extraction.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Pathological type</th>
<th valign="top" align="center">SCOS</th>
<th valign="top" align="center">MA</th>
<th valign="top" align="center">HS</th>
<th valign="top" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Number</bold>
</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">c<bold>irc_MGLL</bold>
</td>
<td valign="top" align="center">5.94 &#xb1; 2.22</td>
<td valign="top" align="center">5.34 &#xb1; 2.46</td>
<td valign="top" align="center">3.96 &#xb1; 2.01</td>
<td valign="top" align="center">0.069</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SCOS, Sertoli cell-only syndrome; MA, maturation arrest; HS, hypo-spermatogenesis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Association between circ_MGLL and SRO in patients with iNOA</title>
<p>We conducted univariate and multivariable logistic regression analyses to evaluate the association between clinicopathological features and SRO in patients with NOA. We included circ_MGLL, age, BMI, TV, serum FSH, LH, T, and pathological type in the univariate analysis. As shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, patients with high circ_MGLL were more likely to experience failed SRO, and patients with the pathological classification of HS were more likely to experience successful SRO in the crude model (all <italic>P</italic> &lt; 0.01, <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Other parameters such as age, BMI, TV, FSH, LH, and T were not significantly associated with SRO (<italic>P</italic> &gt; 0.05, <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Multivariate analysis was then conducted using circ_MGLL and pathological types based on the significant associations observed in the univariate analysis. After adjusting for baseline covariates, high circ_MGLL expression exerted a significantly negative impact on the probability of successful SRO in patients with iNOA (model 1 adjusted for age, TV, and BMI; odds ratio, OR: 0.470, 95% confidence interval, CI: 0.357&#x2013;0.620, <italic>P</italic> &lt; 0.001; model 2 adjusted for age, TV, BMI, FSH, LH, T, and pathological type: OR: 0.398, 95% CI: 0.282&#x2013;0.563, <italic>P</italic> &lt; 0.001, <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). More importantly, after stratification according to age, BMI, TV, FSH, LH, T, and pathological types, inverse correlations were still observed between circ_MGLL and successful SRO of micro-TESE (all OR &lt;1, <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Univariate logistic analyses of the clinical characteristics for successful sperm retrieval in idiopathic non-obstructive azoospermia patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Statistics</th>
<th valign="top" align="center">SR</th>
<th valign="top" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">c<bold>irc_MGLL</bold>
</td>
<td valign="top" align="center">5.498 &#xb1; 2.369</td>
<td valign="top" align="center">0.500 (0.388, 0.644)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age (years)</bold>
</td>
<td valign="top" align="center">30.079 &#xb1; 3.292</td>
<td valign="top" align="center">0.998 (0.890, 1.118)</td>
<td valign="top" align="center">0.967</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>BMI (kg * m<sup>-2</sup>)</bold>
</td>
<td valign="top" align="center">25.105 &#xb1; 3.422</td>
<td valign="top" align="center">1.070 (0.957, 1.196)</td>
<td valign="top" align="center">0.233</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">TV (ml)</th>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2264;10</bold> ml</td>
<td valign="top" align="center">65 (57.018%)</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>&gt;10</bold> ml</td>
<td valign="top" align="center">49 (42.982%)</td>
<td valign="top" align="center">1.511 (0.711, 3.212)</td>
<td valign="top" align="center">0.283</td>
</tr>
<tr>
<td valign="top" align="left">Follicle-stimulating hormone <bold>(IU/L)</bold>
</td>
<td valign="top" align="center">21.777 &#xb1; 12.246</td>
<td valign="top" align="center">0.996 (0.966, 1.027)</td>
<td valign="top" align="center">0.789</td>
</tr>
<tr>
<td valign="top" align="left">Luteinizing hormone <bold>(IU/L)</bold>
</td>
<td valign="top" align="center">9.547 &#xb1; 7.527</td>
<td valign="top" align="center">0.982 (0.929, 1.037)</td>
<td valign="top" align="center">0.506</td>
</tr>
<tr>
<td valign="top" align="left">Testosterone <bold>(ng/</bold>dl<bold>)</bold>
</td>
<td valign="top" align="center">404.664 &#xb1; 185.733</td>
<td valign="top" align="center">0.999 (0.997, 1.001)</td>
<td valign="top" align="center">0.570</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Pathological type</th>
</tr>
<tr>
<td valign="top" align="left">
<bold>SCOS</bold>
</td>
<td valign="top" align="center">49 (42.982%)</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>MA</bold>
</td>
<td valign="top" align="center">57 (50.000%)</td>
<td valign="top" align="center">1.611 (0.728, 3.564)</td>
<td valign="top" align="center">0.239</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>HS</bold>
</td>
<td valign="top" align="center">8 (7.018%)</td>
<td valign="top" align="center">6.187 (1.121, 34.145)</td>
<td valign="top" align="center">0.037</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; TV, testicular volume; SCOS, Sertoli cell-only syndrome; MA, maturation arrest; HS, hypo-spermatogenesis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Multivariate logistic analyses of the clinical characteristics for successful sperm retrieval in idiopathic non-obstructive azoospermia patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Adjust I OR (95% CI)</th>
<th valign="top" align="center">
<italic>P</italic>
</th>
<th valign="top" align="center">Adjust II OR (95% CI)</th>
<th valign="top" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>circ_MGLL</bold>
</td>
<td valign="top" align="center">0.470 (0.357, 0.620)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">0.398 (0.282, 0.563)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Pathological type</th>
</tr>
<tr>
<td valign="top" align="left">
<bold>SCOS</bold>
</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>MA</bold>
</td>
<td valign="top" align="center">1.541 (0.688, 3.454)</td>
<td valign="top" align="center">0.294</td>
<td valign="top" align="center">1.566 (0.693, 3.542)</td>
<td valign="top" align="center">0.281</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>HS</bold>
</td>
<td valign="top" align="left">6.836 (1.133, 41.259)</td>
<td valign="top" align="center">0.036</td>
<td valign="top" align="center">6.223 (1.000, 38.732)</td>
<td valign="top" align="center">0.050</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SCOS, Sertoli cell-only syndrome; MA, maturation arrest; HS, hypo-spermatogenesis; Adjust I, model adjusted for age, volume, and body mass index; Adjust II, model adjusted for age, volume, body mass index, follicle-stimulating hormone, luteinizing hormone, testosterone, and pathological type.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Logistic regression analyses of the clinical characteristics for successful sperm retrieval in patients with iNOA. <bold>(A)</bold> Crude odds ratios in the univariate analyses. <bold>(B)</bold> Adjusted odds ratios in the multivariate analyses. Adjust I, model adjusted for age, BMI, and TV; Adjust II, model adjusted for age, BMI, TV, FSH, LH, and T. circ_MGLL, circular RNA monoglyceride lipase; iNOA, idiopathic non-obstructive azoospermia; BMI, body mass index; TV, testicular volume; FSH, follicle-stimulating hormone; LH, luteinizing hormone; T, testosterone; SCOS, Sertoli cell-only syndrome; MA, maturation arrest; HS, hypo-spermatogenesis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-1109807-g003.tif"/>
</fig>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Stratified analysis of circ_MGLL in testicular tissues for successful sperm retrieval in idiopathic non-obstructive azoospermia patients with different clinical characteristics sub-groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Sub-group</th>
<th valign="top" align="center">
<italic>N</italic>
</th>
<th valign="top" align="center">Odds ratio (95% CI)</th>
<th valign="top" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="4" align="left">Age (years)</th>
</tr>
<tr>
<td valign="top" align="left">23&#x2013;28</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.401 (0.235, 0.684)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">29&#x2013;30</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">0.512 (0.304, 0.862)</td>
<td valign="top" align="center">0.012</td>
</tr>
<tr>
<td valign="top" align="left">31&#x2013;41</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">0.531 (0.369, 0.764)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">BMI (kg * m<sup>-2</sup>)</th>
</tr>
<tr>
<td valign="top" align="left">17.3&#x2013;23.5</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">0.456 (0.277, 0.749)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">23.7&#x2013;26.3</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">0.512 (0.334, 0.784)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">26.5&#x2013;38.4</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.461 (0.282, 0.755)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">TV (ml)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2264;10 ml</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">0.434 (0.292, 0.645)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&gt;10 ml</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">0.564 (0.399, 0.798)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Follicle-stimulating hormone (IU/L)</th>
</tr>
<tr>
<td valign="top" align="left">2.51&#x2013;15.58</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.506 (0.320, 0.800)</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">15.60&#x2013;24.21</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.370 (0.193, 0.709)</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">24.24&#x2013;78.94</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.469 (0.307, 0.717)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Luteinizing hormone (IU/L)</th>
</tr>
<tr>
<td valign="top" align="left">1.01&#x2013;6.47</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.597 (0.396, 0.900)</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="left">6.72&#x2013;10.22</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.321 (0.167, 0.617)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">10.26&#x2013;62.44</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.497 (0.324, 0.764)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Testosterone (ng/dl)</th>
</tr>
<tr>
<td valign="top" align="left">156.47&#x2013;297.64</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.529 (0.351, 0.796)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">299.67&#x2013;425.88</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.543 (0.364, 0.811)</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">432.90&#x2013;1,005.41</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.354 (0.179, 0.700)</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Pathological type</th>
</tr>
<tr>
<td valign="top" align="left">SCOS</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">0.565 (0.391, 0.816)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">MA</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">0.418 (0.270, 0.648)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; TV, testicular volume; SCOS, Sertoli cell only syndrome; MA, maturation arrest; HS, hypo-spermatogenesis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Construction and validation of circ_MGLL-based nomogram for patients with iNOAs undergoing micro-TESE</title>
<p>All independent predictors in the multivariate logistic analysis and serum hormone levels that were identified to be associated with spermatogenesis in previous literature were integrated to generate a nomogram for predicting the probability of a successful SRO. Each variable was assigned a value between 0 and 100 according to its contribution to the established model. By summing these values, a total value can be obtained and applied to predict the corresponding probabilities of successful SRO (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Using the bootstrap method for internal validation, calibration curves indicated a good agreement between the predicted probability of the circ_MGLL-based nomogram and the observed probability in both the training (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>) and validation sets (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>). Furthermore, in the ROC analysis, the area under the curve (AUC) for circ_MGLL expression to independently predict the SRO of micro-TESE was 0.834, with a cutoff value of 5.354, a sensitivity of 85.1%, and a specificity of 73.1% (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>, <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>). The circ_MGLL-based nomogram demonstrated AUC<sub>t</sub> values of 0.868 and 0.811 in the training and validation sets (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>, <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>), respectively. These findings indicated that the nomogram exhibited good discrimination and excellent calibration abilities.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Performance of the circ_MGLL-based nomogram in predicting successful SRO in patients with iNOA. <bold>(A)</bold> Nomogram for successful SRO prediction for the model combining circ_MGLL with clinicopathological variables. <bold>(B)</bold> Calibration curve for the circ_MGLL-based nomogram model in the training set. <bold>(C)</bold> Calibration curve for the circ_MGLL-based nomogram model in the validation set. <bold>(D)</bold> ROC curve for predicting successful SRO based on circ_MGLL in 114 patients with iNOA. <bold>(E)</bold> ROC curve for predicting successful SRO using the circ_MGLL-based nomogram in the training and validation sets. <bold>(F)</bold> Decision curve analysis of the clinical utility of the circ_MGLL-based nomogram for predicting successful SRO for microdissection testicular sperm extraction in patients with iNOA. circ_MGLL, circular RNA monoglyceride lipase; iNOA, idiopathic non-obstructive azoospermia; SRO, sperm retrieval outcome; ROC, receiver operating characteristic; FSH, follicle-stimulating hormone; LH, luteinizing hormone; T, testosterone.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-1109807-g004.tif"/>
</fig>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Predictive performance of circ_MGLL-based nomogram.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Circ_MGLL</th>
<th valign="top" align="center">Training set</th>
<th valign="top" align="center">Validation set</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Successful</bold> sperm retrieval outcomes (<bold>SRO</bold>)</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">29</td>
<td valign="middle" align="center">18</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Failure SRO</bold>
</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">29</td>
<td valign="middle" align="center">38</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Cutoff value</bold>
</td>
<td valign="top" align="center">5.354</td>
<td valign="top" align="center">0.268</td>
<td valign="middle" align="center">-0.763</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Sensitivity</bold>
</td>
<td valign="top" align="center">0.851</td>
<td valign="middle" align="center">0.793</td>
<td valign="middle" align="center">0.944</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Specificity</bold>
</td>
<td valign="top" align="center">0.731</td>
<td valign="middle" align="center">0.828</td>
<td valign="middle" align="center">0.658</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>PPV</bold>
</td>
<td valign="top" align="center">0.690</td>
<td valign="middle" align="center">0.821</td>
<td valign="middle" align="center">0.567</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>NPV</bold>
</td>
<td valign="top" align="center">0.875</td>
<td valign="middle" align="center">0.800</td>
<td valign="middle" align="center">0.962</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Accuracy</bold>
</td>
<td valign="top" align="center">0.781</td>
<td valign="top" align="center">0.810</td>
<td valign="top" align="center">0.750</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>AUC</bold>
</td>
<td valign="top" align="center">0.834</td>
<td valign="top" align="center">0.868</td>
<td valign="middle" align="center">0.811</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>95% upper limit</bold>
</td>
<td valign="top" align="center">0.755</td>
<td valign="middle" align="center">0.776</td>
<td valign="middle" align="center">0.701</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>95% lower limit</bold>
</td>
<td valign="top" align="center">0.899</td>
<td valign="middle" align="center">0.960</td>
<td valign="middle" align="center">0.922</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>PLR</bold>
</td>
<td valign="top" align="center">3.168</td>
<td valign="middle" align="center">4.600</td>
<td valign="middle" align="center">2.761</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>NLR</bold>
</td>
<td valign="top" align="center">0.204</td>
<td valign="middle" align="center">0.250</td>
<td valign="middle" align="center">0.084</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>DOR</bold>
</td>
<td valign="top" align="center">15.556</td>
<td valign="middle" align="center">18.400</td>
<td valign="middle" align="center">32.692</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PLR, positive likelihood ratio; NLR, negative likelihood ratio; DOR, diagnostic odds ratios; PPV, positive predictive value; NPV, negative predictive value; AUC, area under ROC curve.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Finally, we performed DCA to determine the clinical potential of the circ_MGLL-based nomogram in assisting with micro-TESE decisions. The gray line (leftmost) represents the micro-TESE strategy for all patients, and the horizontal black line indicates the &#x201c;micro-TESE for none&#x201d; strategy. Curves representing the nomograms based on circ_MGLL alone and the integrated factors are shown. As expected, both nomograms were superior to the &#x201c;micro-TESE for all&#x201d; strategy (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4F</bold>
</xref>). Furthermore, the net benefit of the circ_MGLL-based nomogram was more powerful for patients with threshold probabilities of 40&#x2013;80% than circ_MGLL alone (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4F</bold>
</xref>). These data indicated that the clinical utility of the circ_MGLL-based nomogram was superior to that of a circ_MGLL alone on most occasions.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In the current study, we observed significant differences in circ_MGLL expression between successful and failed SRO among patients with iNOA, whereas other variables (including age, BMI, TV, FSH, LH, and T) did not differ between the successful and failed SRO groups. When compared with the level observed in the failure group, the relative expression of circ_MGLL was significantly downregulated in the successful SRO group. Both univariate and multivariate analyses indicated that circ_MGLL expression was negatively associated with SRO in patients with iNOA, even after stratification according to age, TV, BMI, FSH, T, and pathological type (all OR &lt;1). Notably, our results demonstrated that the circ_MGLL-based nomogram model was a relatively accurate predictor with the clinical potential to assist andrologists in screening patients with iNOA suitable for micro-TESE surgery.</p>
<p>Some molecules in the seminal plasma have been identified as predictors of residual spermatogenesis in patients with NOA (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B22">22</xref>). However, seminal plasma is a mixture secreted by accessory glands such as the prostate, seminal vesicle gland, and ureteral bulbar gland (<xref ref-type="bibr" rid="B23">23</xref>). Thus, the specific expression of molecules in the seminal plasma or seminal exosomes may only partly reflect the spermatogenic function of the testis. Furthermore, although some studies have indicated that spermatogenesis varies in different areas of the testis (<xref ref-type="bibr" rid="B24">24</xref>), a series of studies have verified that patterns of expression for testis-specific genes or non-coding RNAs are significantly associated with the success of sperm recovery in patients with NOA, emphasizing their potential value as predictors of successful SRO in these patients (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). In our previous collaboration, we observed that circ_MGLL expression is upregulated in patients with NOA when compared with the level observed in patients with obstructive azoospermia (<xref ref-type="bibr" rid="B17">17</xref>). In the current study, we further demonstrated that the expression of circ_MGLL is negatively correlated with the SRO in patients with iNOA, and the circ_MGLL-based nomogram had better diagnostic efficiency in predicting the SRO of micro-TESE for these patients. Further increasing the predictive power of this circ_MGLL-based nomogram by integrating histopathological results and the expression of testis-specific molecular biomarkers may help to avoid unnecessary surgery and excessive financial burden in patients with iNOA.</p>
<p>Previously, we reported that the proliferating speed of Sertoli cells was increased, the proportion of proliferating cells and cells at S stage was upregulated, and the apoptosis levels of Sertoli cells were decreased after silencing circ_MGLL expression (<xref ref-type="bibr" rid="B19">19</xref>). Furthermore, bioinformatics analysis and luciferase reporter assays showed that circ_MGLL can bind to miR-1228, miR-1233, miR-149, and miR-924 (<xref ref-type="bibr" rid="B19">19</xref>). Previous studies had already demonstrated that miR-1288 expression is abundant in the plasma and testis of cynomolgus monkeys, exhibiting associations with apoptosis and cell differentiation (<xref ref-type="bibr" rid="B27">27</xref>). Additional studies have indicated that miR-1233 inhibits apoptosis and promotes the proliferation of A549 cells by targeting dual-specificity phosphatase 9 (<xref ref-type="bibr" rid="B28">28</xref>). More importantly, miR-149 expression in sperm is correlated with the quality of early embryonic development (<xref ref-type="bibr" rid="B29">29</xref>). Previous literatures proved that Sertoli cells provide physical support and stable microenvironments or niche for developing sperm and perform an important role in sustaining spermatogenesis (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Considering the important functions of circ_MGLL and its targeted miRNAs in cell apoptosis, we speculate that a regulatory network with circ_MGLL as the core would induce apoptosis and the dysfunctions of Sertoli cells in patients with NOA, which may further result in the residual sperm losing nutritional supports and relatively normal microenvironments. Consequently, this dysfunction of Sertoli cells induced by circ_MGLL upregulation will eventually lead to the failure of micro-TESE. However, the mechanism by which circ_MGLL regulates cell proliferation and the functions of Sertoli cells and spermatogenesis should be further explored in future studies.</p>
<p>Notably, our results also indicated that the serum levels of FSH, LH, and T were not correlated with the outcome of sperm collection and could not be used as reliable predictors of SRO in patients with iNOA undergoing micro-TESE. However, findings regarding the correlation between hormonal levels and SRO have been inconsistent. Consistent with our results, some preliminary studies of patients with NOA have reported no significant differences in TV or hormonal levels based on the success or failure of micro-TESE (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Accordingly, serum hormone levels were not identified as a significant predictor of successful SRO (<xref ref-type="bibr" rid="B34">34</xref>). However, some studies have reported significantly higher levels of serum FSH in the failed group than in the successful group. This may be because the abovementioned studies failed to exclude patients with Klinefelter syndrome (KS) and AZF c microdeletions. Patients in these latter two groups may exhibit less remarkable increases in FSH as well as a relatively higher success rate following sperm collection than those with iNOA (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). In contrast, our study excluded patients with KS and AZFc microdeletion, instead focusing on patients with iNOA, which is often associated with significantly elevated FSH levels and low sperm retrieval rates (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Despite the associations observed in the current study, further research is required to clarify the effects of hormonal levels on SRO in patients with iNOA as well as the mechanisms underlying their actions.</p>
<p>In addition to the retrospective nature of this study, some non-negligible limitations exist&#x2014;for example, all testicular tissues used for the detection of circ_MGLL were paraffin-embedded testicular tissues obtained during micro-TESE surgery, and we did not examine the testicular biopsy tissue obtained <italic>via</italic> needle aspiration prior to micro-TESE surgery. Thus, for patients who meet the criteria of testicular needle aspiration, such an analysis may help to verify our findings. Furthermore, although we observed that the circ_MGLL-based nomogram could reflect the focal spermatogenesis of the whole testis and could be used as a predictor for SRO in patients with iNOA, the expression profiles and the function of circ_MGLL in germ cells and testicular tissues should be explored in future studies.</p>
<p>In summary, the detailed data obtained in our study demonstrate that higher circ_MGLL levels are associated with decreased success in sperm retrieval <italic>via</italic> micro-TESE in patients with iNOA. More importantly, to the best of our knowledge, the present study is the first to establish a competing risk nomogram for calculating the probability of successful SRO, which may aid in screening for micro-TESE eligibility. Although these results provide evidence regarding the significant association between circ_MGLL expression and failure of micro-TESE in patients with iNOA, an additional large-sample multicenter prospective cohort study is required to further validate the efficacy of the circ_MGLL-based nomogram for predicting successful SRO.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Review Board of the Northwest Women&#x2019;s and Children&#x2019;s Hospital (ethical review number: 2021-XBFE-023). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>MW designed the research study. SS, TW, and LW performed the research. SS analyzed the data. MW and SS wrote the paper. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the Xi&#x2019;an Science and Technology Project (XA2021-YXYJ-0104) and Health Research Project of Shaanxi Provincial Health Commission (no. 2021E024).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to express our gratitude to the patients who were enrolled in this study.</p>
</ack>
<sec id="s9" 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="s10" 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="s11" 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.2022.1109807/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2022.1109807/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.jpeg" id="SM1" mimetype="image/jpeg"/>
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