Corneal endothelial cells(CECs), which form the innermost cellular layer of the cornea, play a pivotal role in sustaining corneal transparency and preserving visual acuity. However, CECs are vulnerable to damage induced by a spectrum of pathological conditions or traumatic injuries. Once the density of CECs declines below a critical threshold, corneal endothelial dysfunction is precipitated, ultimately leading to corneal edema and progressive visual impairment. Penetrating keratoplasty and corneal endothelial transplantation remain the first-line therapeutic strategies for managing advanced corneal endothelial dysfunction. Nevertheless, the global shortage of donor corneas severely limits the accessibility and scalability of these surgical interventions. Consequently, regenerative medicine approaches targeting corneal endothelial repair and regeneration have emerged as a major focus of international research in ophthalmology. A key challenge in the in vitro expansion of CECs is their propensity to undergo endothelial-to-mesenchymal transition(EndMT). EndMT is a process of cellular phenotypic transformation, through which endothelial cells lose their intrinsic functions and acquire the characteristic features of mesenchymal cells. The EndMT significantly impedes the clinical translation of in vitro-cultured CECs for regenerative applications. In this review, the risk factors and related signaling pathways involved in EndMT were summarized, aiming to provide references for the basic research and clinical treatment of relevant diseases.

ObjectiveTo analyze the factors influencing meropenem-related liver injury （MRLI） and to explore their clinical predictive value. MethodsA retrospective case-control study was conducted， and the Chinese Hospital Pharmacovigilance System （CHPS） was used to establish a retrieval scheme. A total of 1 625 hospitalized cases using meropenem from January 2018 to December 2022 were collected. Patients were divided into case group （n=62） and control group （n=1 563） based on the presence or absence of liver injury. Clinical data and laboratory indicators from both groups were collected and analyzed. The t-test was used for comparison of normally distributed continuous data between the two groups， while the Mann-Whitney U test was used for comparison of continuous data not conforming to a normal distribution. The chi-square test was used for comparison of categorical data between the two groups. A multivariate Logistic regression analysis was performed to identify the influencing factors for MRLI. A Logistic regression equation was established， and the predictive value of these factors was assessed using the receiver operating characteristic （ROC） curve. ResultsThe results of univariate analysis indicated that the rates of male patients， hypoproteinemia， shock， intensive care unit （ICU） admissions， sepsis， and liver， gallbladder， and cardiovascular diseases， the levels of alanine aminotransferase （ALT）， alkaline phosphatase （ALP）， gamma-glutamyl transpeptidase （GGT）， aspartate aminotransferase （AST）， creatinine （CREA）， and procalcitonin （PCT）， and the number of hospitalization days were significantly higher in the case group than in the control group （P<0.05）， and that the platelet levels in the case group were significantly lower than those in the control group （P<0.05）. The multivariate Logistic regression analysis showed that male sex （odds ratio ［OR］=2.080， 95% confidence interval ［CI］： 1.050 — 4.123， P=0.036）， admission to the ICU （OR=8.207， 95%CI： 4.094‍ ‍—‍ ‍16.453， P<0.001）， comorbidity with gallbladder disease （OR=8.240， 95%CI： 3.605‍ ‍—‍ ‍18.832， P<0.001）， ALP （OR=1.012， 95%CI： 1.004‍ ‍—‍ ‍1.019， P=0.004）， GGT （OR=1.010， 95%CI： 1.005‍ ‍—‍ ‍1.015， P<0.001）， and PLT （OR=0.997， 95%CI： 0.994‍ ‍—‍ ‍0.999， P=0.020） were the influential factors for MRLI. The areas under the ROC curve of ALP， GGT， and PLT were 0.589， 0.637， and 0.595， respectively， and the AUC of them combined was 0.837. ConclusionMale sex， ICU admission， comorbidity with gallbladder disease， increased ALP， increased GGT， and decreased PLT were influencing factors for MRLI， and a combination of factors has a better predictive value for the occurrence of MRLI.