Associations between Visual Acuity and Cognitive Decline in Older Adulthood: A 9-Year Longitudinal Study.

OBJECTIVE: Emerging evidence suggests low vision may be a modifiable risk factor for cognitive decline. We examined effects of baseline visual acuity (VA) on level of, and change in, cognitive test performance over 9 years. METHOD: A population-based sample of 1,621 participants (average age 77 years) completed a comprehensive neuropsychological evaluation and VA testing at baseline and reassessed at nine subsequent annual visits. Linear regression modeled the association between baseline VA and concurrent cognitive test performance. Joint modeling of a longitudinal sub-model and a survival sub-model to adjust for attrition were used to examine associations between baseline VA and repeated cognitive test performance over time. RESULTS: Better baseline VA was associated cross-sectionally with younger age, male sex, greater than high school education, and higher baseline neuropsychological test scores on both vision-dependent (B coefficient range -0.163 to -0.375, p = .006 to <.001) and vision-independent tests (-0.187 to -0.215, p = .003 to .002). In longitudinal modeling, better baseline VA was associated with slower decline in vision-dependent tests (B coefficient range -0.092 to 0.111, p = .005 to <.001) and vision-independent tests (-0.107 to 0.067, p = .007 to <.001). CONCLUSIONS: Higher VA is associated with higher concurrent cognitive abilities and slower rates of decline over 9 years in both vision-dependent and vision-independent tests of memory, language, and executive functioning. Findings are consistent with emerging literature supporting vision impairment in aging as a potentially modifiable risk factor for cognitive decline. Clinicians should encourage patient utilization of vision assessment and correction with the added aim of protecting cognition.

Predictors of Driving Cessation in Older Adults: A 12-year Population-based Study.

BACKGROUND: Changes in physical health and cognition during aging can result in some older adults to stop driving. In this population-based longitudinal study, we describe potential predictors of driving cessation in older adults. METHODS: Age-stratified random population cohort of 1982 adults aged 65 years and older drawn from voter registration lists. Participant characteristics were measured using demographics, physical and self-rated health, sleeping habits, driving status, cognitive screening, modified Center for Epidemiologic Studies-Depression scale, clinical dementia rating, and mini-mental state examination. RESULTS: Over 12 years of follow-up, 390 participants stopped driving. These individuals were older, more likely to be women and to have a clinical dementia rating score ≥1, had worse self-reported health, and more symptoms of depression, compared with those who were still driving. In addition, individuals with lower test performance in all cognitive domains, loss of visual acuity and fields, and bilateral hearing loss were more likely to stop driving. CONCLUSIONS: Age, sex, cognitive impairments, physical health, and depressive symptoms were associated with driving cessation in this cohort. By identifying potential driving cessation predictors, health care providers and families may better recognize these risk factors and begin the driving cessation discussion early.

Formyl peptide receptor 2 activation by mitochondrial formyl peptides stimulates the neutrophil proinflammatory response via the ERK pathway and exacerbates ischemia-reperfusion injury.

BACKGROUND: Ischemia-reperfusion injury (IRI) is an inevitable process in renal transplantation that significantly increases the risk of delayed graft function, acute rejection, and even graft loss. Formyl peptide receptor 2 (FPR2) is an important receptor in multiple septic and aseptic injuries, but its functions in kidney IRI are still unclear. This study was designed to reveal the pathological role of FPR2 in kidney IRI and its functional mechanisms. METHODS: To explore the mechanism of FPR2 in kidney IRI, the model rats were sacrificed after IRI surgery. Immunofluorescence, enzyme-linked immunosorbent assays, and western blotting were used to detect differences in the expression of FPR2 and its ligands between the IRI and control groups. WRW4 (WRWWWW-NH2), a specific antagonist of FPR2, was administered to kidney IRI rats. Kidney function and pathological damage were detected to assess kidney injury and recovery. Flow cytometry was used to quantitatively compare neutrophil infiltration among the experimental groups. Mitochondrial formyl peptides (mtFPs) were synthesized and administered to primary rat neutrophils together with the specific FPR family antagonist WRW4 to verify our hypothesis in vitro. Western blotting and cell function assays were used to examine the functions and signaling pathways that FPR2 mediates in neutrophils. RESULTS: FPR2 was activated mainly by mtFPs during the acute phase of IRI, mediating neutrophil migration and reactive oxygen species production in the rat kidney through the ERK1/2 pathway. FPR2 blockade in the early phase protected rat kidneys from IRI. CONCLUSIONS: mtFPs activated FPR2 during the acute phase of IRI and mediated rat kidney injury by activating the migration and reactive oxygen species generation of neutrophils through the ERK1/2 pathway.

Proxalutamide for the treatment of COVID-19 rebound following Paxlovid treatment: Report of four cases and review of the literature.

BACKGROUND: The pandemic the coronavirus disease 2019 (COVID-19) has created a global health crisis. Although Paxlovid is recommended for the early-stage treatment of mild-to-moderate COVID-19 in patients at increased risk of progression to severe COVID-19, more and more cases are reported a COVID-19 rebound after Paxlovid treatment. Currently, information on the additional treatment for COVID-19 rebound following Paxlovid treatment is limited. CASE REPORT: Here, we present four cases with COVID-19 who were mild on admission. All cases experienced a COVID-19 rebound and progressed to severe COVID-19, following treatment with Paxlovid (300 mg of nirmatrelvir with 100 mg ritonavir, twice daily for 5 days). After being treated with proxalutamide (300 mg/day), all cases finally turned real-time reverse transcription polymerase chain reaction (RT-PCR) negative. CONCLUSION: Our cases suggested that proxalutamide might be an effective remedial treatment option for patients experiencing a COVID-19 rebound after Paxlovid treatment.

Assessing Social Cognition in Older Adults: A Population-Based Study.

OBJECTIVES: In a population-based study of mild cognitive impairment (MCI), to validate the assessment of social cognition in older adults. METHODS: Cross-sectional study of 902 adults aged 65+ with mean age 76.6 years (SD 8.06). We created a social cognition composite comprising standardized z scores on the Social Norms Questionnaire and the 10-item Reading the Mind in the Eyes Test. We identified associated factors and compared sensitivity, specificity, and the area under the curve of social cognition, for MCI defined as Clinical Dementia Rating (CDR)=0.5, to those of other cognitive domains. We calculated the impact of including social cognition on the proportion neuropsychologically classified as MCI. RESULTS: Better social cognition was associated with younger age, female sex, higher education, better general cognition (mini-mental state examination), fewer depressive symptoms, and lower CDR. Adjusting for demographics, associations with mini-mental state examination, depressive symptoms, anxiety symptoms, and subjective cognitive complaints remained significant. The sensitivity and specificity of social cognition for CDR=0.5 were comparable to those of the traditional 5 cognitive domains. Including social cognition as a sixth domain of cognition resulted in a 5% increase in the proportion classified as MCI. CONCLUSIONS: Brief objective assessment of social cognition may enhance cognitive assessment of older adults.

Estimation of Mycophenolic Acid Exposure in Chinese Renal Transplant Patients by a Joint Deep Learning Model.

BACKGROUND: To predict mycophenolic acid (MPA) exposure in renal transplant recipients using a deep learning model based on a convolutional neural network with bilateral long short-term memory and attention methods. METHODS: A total of 172 Chinese renal transplant patients were enrolled in this study. The patients were divided into a training group (n = 138, Ruijin Hospital) and a validation group (n = 34, Zhongshan Hospital). Fourteen days after renal transplantation, rich blood samples were collected 0-12 hours after MPA administration. The plasma concentration of total MPA was measured using an enzyme-multiplied immunoassay technique. A limited sampling strategy based on a convolutional neural network-long short-term memory with attention (CALS) model for the prediction of the area under the concentration curve (AUC) of MPA was established. The established model was verified using the data from the validation group. The model performance was compared with that obtained from multiple linear regression (MLR) and maximum a posteriori (MAP) methods. RESULTS: The MPA AUC 0-12 of the training and validation groups was 54.28 ± 18.42 and 41.25 ± 14.53 µg·ml -1 ·h, respectively. MPA plasma concentration after 2 (C 2 ), 6 (C 6 ), and 8 (C 8 ) hours of administration was the most significant factor for MPA AUC 0-12 . The predictive performance of AUC 0-12 estimated using the CALS model of the validation group was better than the MLR and MAP methods in previous studies (r 2 = 0.71, mean prediction error = 4.79, and mean absolute prediction error = 14.60). CONCLUSIONS: The CALS model established in this study was reliable for predicting MPA AUC 0-12 in Chinese renal transplant patients administered mycophenolate mofetil and enteric-coated mycophenolic acid sodium and may have good generalization ability for application in other data sets.

Aging and Functional Health Literacy: A Population-based Study.

OBJECTIVES: To investigate functional health literacy and its associated factors among older adults drawn from a disadvantaged area. DESIGN: Cross-sectional epidemiologic study. SETTING: Population-based cohort randomly selected from the voter registration lists. PARTICIPANTS: Individuals aged 65+ (N=1066). MEASUREMENTS: The Short Test of Functional Health Literacy in Adults (S-TOFHLA); demographics; self-rated health; number of prescription drugs; modified Center for Epidemiologic Studies- Depression scale; Mini-Mental State Examination; Wechsler Test of Adult Reading; Clinical Dementia Rating; cognitive domain composite scores; independence in Instrumental Activities of Daily Living and medication management; health services utilization (emergency/urgent care visits and hospitalizations). RESULTS: Low (inadequate or marginal) S-TOFHLA scores were obtained by 7.04% of the sample. In unadjusted analyses, participants with low S-TOFHLA scores were significantly more likely than those with higher scores to be older, male, non-White, with lesser education and lower household income, to have lower scores on the Wechsler Test of Adult Reading, the Mini-Mental State Examination, and all cognitive domains; to be more dependent in Instrumental Activities of Daily Living and be taking more prescription drugs. In a multiple regression model including all covariates, only older age, male sex, and lower reading level were independently associated with inadequate or marginal S-TOFHLA scores. CONCLUSION: In a population-based sample of older adults, low functional health literacy was associated with age, sex, education, and reading ability. Basic functional health literacy is essential for understanding health information and instructions. Clinicians should formally or informally assess health literacy in their older patients to ensure effective communication and enhance health outcomes.

Reading the Mind in the Eyes: A Population-Based Study of Social Cognition in Older Adults.

BACKGROUND: Social cognition indicates the cognitive processes involved in perceiving, interpreting, and processing social information. Although it is one of the six core DSM-5 cognitive domains for diagnosing neurocognitive disorders, it is not routinely assessed in older adults. The Reading the Mind in the Eyes Test assesses Theory of Mind, the social cognition mechanism which forms the root of empathy. OBJECTIVES: To describe the distribution of, and factors associated with, scores on a 10-item version of Reading the Mind in the Eyes Test (RMET-10) in older adults. DESIGN: Population-based cross-sectional study. SETTING: Small-town communities in Pennsylvania. PARTICIPANTS: Adults aged 66-105 years (N = 902, mean age = 76.6). MEASUREMENTS: The assessment included RMET-10, demographics, cognitive screening, literacy, depression symptoms, anxiety symptoms, cognitive composites derived from a neuropsychological test battery, Social Norms Questionnaire, and Clinical Dementia Rating (CDR). RESULTS: RMET-10 score was normally distributed in our overall study sample. Normative RMET-10 scores among those rated as CDR = 0 were calculated by age, sex, and education. RMET-10 score was significantly higher with younger age, higher education, white race, higher cognitive screening scores, literacy, social norms scores, higher scores in all five domains in cognitive composites, and lower CDR. RMET-10 score was also significantly higher with fewer depression and anxiety symptoms after adjusting for demographics. CONCLUSIONS: The RMET is a potentially useful measure of social cognition for use in the research assessment of older adults. With appropriate calibration it should also have utility in the clinical setting.

Cause-specific quantile regression on inactivity time.

In time-to-event analysis, the traditional summary measures have been based on the hazard function, survival function, quantile event time, restricted mean event time, and residual lifetime. Under competing risks, furthermore, typical summary measures have been the cause-specific hazard function and cumulative incidence function. Recently inactivity time has recaptured attention in the literature, being interpreted as life lost. In this paper, we further interpret it as quality of life reduced and time period after transition to a drug, and propose a quantile regression model to associate the inactivity time with potential predictors under competing risks. We define the proper cumulative distribution function of the inactivity time distribution for each specific event type among those subjects who experience the same type of events during a follow-up period. A score function-type estimating equation is developed and asymptotic properties of the regression coefficient estimators are derived by assuming that competing events are censored at their occurrence times as in the cause-specific hazard analysis. The proposed approach reduces to a regular quantile regression on the inactivity time without competing risks when all types of competing events are collapsed into the same type. Due to difficulty in estimating the improper probability density function of the cause-specific inactivity distribution to evaluate the variance of the quantiles, a computationally efficient perturbation method is adopted to infer the regression coefficients. Simulation results show that our proposed method works well under the assumed finite sample settings. The proposed method is illustrated with a real dataset from a breast cancer study.

Driving Habits of Older Adults: A Population-based Study.

OBJECTIVES: To describe factors associated with driving history, habits, and self-reported driving difficulties of 1982 older adults in a population-based survey. SETTING: This was a community setting. PARTICIPANTS: Age-stratified random population sample drawn from publicly available voter registration list. DESIGN: Participants underwent assessments including cognitive testing and self-reported current and past driving status, instrumental activities of daily living, self-rated health, social supports, physical limitations, and depressive symptoms. We built multivariable logistic regression models to identify factors associated with never having driven, having ceased driving, and reporting difficulties while driving. RESULTS: In the multivariable model, "never drivers" were more likely than "ever drivers" to be older, female, less educated and to leave home less frequently. Former drivers were significantly older, more likely to be women, have lower test performance in the cognitive domain of attention, have more instrumental activity of daily living difficulties, leave home less frequently and have visual field deficits in the right eye than current drivers. Current drivers with reported driving difficulties were more likely than those without difficulties to have lower test performance in attention but higher in memory, were more likely to report depressive symptoms and to have both vision and hearing loss. CONCLUSION: Age, female sex, marital status, and education appear to be associated with driving cessation. Cognitive and functional impairments, mood symptoms and physical health also seem to influence driving cessation and reduction. Our findings may have implications for clinicians in assessing and educating their patients and families on driving safety.

Trajectories of daytime sleepiness and their associations with dementia incidence.

Several studies have associated daytime sleepiness with risk of dementia, but it is unknown whether longstanding and emerging daytime sleepiness equally signal a risk of dementia, and whether other health factors explain these associations. In a prospective, population-based epidemiologic study, we (i) assessed associations of daytime sleepiness trajectories over 10 years with dementia incidence and (ii) examined whether selected health characteristics attenuated these associations. Using latent group-based trajectory analysis we categorized participants into three groups: (i) no daytime sleepiness (n = 959, 49.2%), (ii) emerging daytime sleepiness (n = 342, 17.5%) and (iii) persistent daytime sleepiness (n = 650, 33.3%). Compared with no daytime sleepiness, emerging and persistent daytime sleepiness were similarly associated with greater incident dementia risk (respective hazard ratios [95% confidence intervals] were 2.2 [1.3, 3.5] and 1.9 [1.2, 3.1]). Baseline blood pressure, body mass index, chronic disease diagnoses and symptoms of depression did not attenuate these associations. In contrast, lack of independence in instrumental activities of daily living attenuated the daytime sleepiness-dementia association by approximately 17%-21%. These findings suggest that persistent and emerging daytime sleepiness may signal a risk of dementia. However, the underlying mechanisms remain unclear. Further studies should investigate whether and how pathways to sleepiness, functional impairment and dementia pathophysiology interrelate and manifest together over time.

Trends in the Use of Medications and Supplements to Treat or Prevent Dementia: A Population-based Study.

OBJECTIVE: To examine older adults' use over time of agents to treat or prevent dementia or enhance memory. DESIGN: Longitudinal community study with 10-year annual follow-up (2006-2017). SETTING: Population-based cohort. PARTICIPANTS: A total of 1982 individuals with a mean (SD) age of 77 (7.4) years at baseline. MEASUREMENTS: Demographics, self-report, direct inspection of prescription antidementia drugs and nonprescription supplements, cognitive and functional assessments, Clinical Dementia Rating (CDR®) Dementia Staging Instrument. RESULTS: Supplement use was reported by 27% to 42% of participants over 10 years. Use was associated with younger age, high school or greater education, good to excellent self-reported health, higher memory test scores, and absence of cognitive impairment or dementia (CDR=0). Over the same period, about 2% to 6% of participants took prescription dementia medications over 10 years. Use was associated with lower memory test scores, at least mild cognitive impairment (CDR≥0.5), fair to poor self-rated health, and high school or lesser education. CONCLUSIONS: The use of both prescription drugs and supplements increased over time, except for decreases in ginkgo and vitamin E. Prescription drug use appeared in line with prescribing guidelines. Supplement use was associated with higher education and better self-rated health; it persists despite a lack of supportive evidence.

Predictors of Dementia in the Oldest Old: A Novel Machine Learning Approach.

BACKGROUND: Incidence of dementia increases exponentially with age; little is known about its risk factors in the ninth and 10th decades of life. We identified predictors of dementia with onset after age 85 years in a longitudinal population-based cohort. METHODS: On the basis of annual assessments, incident cases of dementia were defined as those newly receiving Clinical Dementia Rating (CDR) ≥1. We used a machine learning method, Markov modeling with hybrid density-based and partition-based clustering, to identify variables associated with subsequent incident dementia. RESULTS: Of 1439 participants, 641 reached age 85 years during 10 years of follow-up and 45 of these became incident dementia cases. Using hybrid density-based and partition-based, among those aged 85+ years, probability of incident dementia was associated with worse self-rated health, more prescription drugs, subjective memory complaints, heart disease, cardiac arrhythmia, thyroid disease, arthritis, reported hypertension, higher systolic and diastolic blood pressure, and hearing impairment. In the subgroup aged 85 to 89 years, risk of dementia was also associated with depression symptoms, not currently smoking, and lacking confidantes. CONCLUSIONS: An atheoretical machine learning method revealed several factors associated with increased probability of dementia after age 85 years in a population-based cohort. If independently validated in other cohorts, these findings could help identify the oldest-old at the highest risk of dementia.

Single-cell Sequencing in the Field of Stem Cells.

Variation and heterogeneity between cells are the basic characteristics of stem cells. Traditional sequencing analysis methods often cover up this difference. Single-cell sequencing technology refers to the technology of high-throughput sequencing analysis of genomes at the single-cell level. It can effectively analyze cell heterogeneity and identify a small number of cell populations. With the continuous progress of cell sorting, nucleic acid extraction and other technologies, single-cell sequencing technology has also made great progress. Encouraging new discoveries have been made in stem cell research, including pluripotent stem cells, tissue-specific stem cells and cancer stem cells. In this review, we discuss the latest progress and future prospects of single-cell sequencing technology in the field of stem cells.

Strong Orbital Polarization in a Cobaltate-Titanate Oxide Heterostructure.

Through a combination of experimental measurements and theoretical modeling, we describe a strongly orbital-polarized insulating ground state in an (LaTiO_{3})_{2}/(LaCoO_{3})_{2} oxide heterostructure. X-ray absorption spectra and ab initio calculations show that an electron is transferred from the titanate to the cobaltate layers. The charge transfer, accompanied by a large octahedral distortion, induces a substantial orbital polarization in the cobaltate layer of a size unattainable via epitaxial strain alone. The asymmetry between in-plane and out-of-plane orbital occupancies in the high-spin cobaltate layer is predicted by theory and observed through x-ray linear dichroism experiments. Manipulating orbital configurations using interfacial coupling within heterostructures promises exciting ground-state engineering for realizing new emergent electronic phases in metal oxide superlattices.

Independent and joint effects of vascular and cardiometabolic risk factor pairs for risk of all-cause dementia: a prospective population-based study.

OBJECTIVES: To assess independent and joint effects of pairs of vascular and cardiometabolic risk factors (VCMRFs) in relation to risk of all-cause dementia. DESIGN: Population-based longitudinal cohort study of cognitive impairment. We used an algorithm to select pairs of VCMRFs and tested their joint effects in time-dependent Cox models. We used attributable proportions (AP) to measure the proportion of risk from interactions beyond any additive effect. SETTING: Economically depressed small-town population. PARTICIPANTS: Adults age 65+ years with up to 10 yearly study visits (N=1701, median (Q1, Q3) age, 78 (71.0, 83.0), 62.3% female, 94.9% white). RESULTS: Among 1701 participants free from prevalent dementia with at least one follow-up visit, 109 developed incident all-cause dementia. In pairings of APOE*4 with hypertension (HTN) and congestive heart failure (CHF), the variables contributed independently and additively to all-cause dementia risk. In pairings of APOE*4 with stroke and stroke with CHF, the variables demonstrated independent contributions to all-cause dementia risk; their joint effects showed excess detriment demonstrating synergistic interactions (joint HR [95% CI]: 28.33 [6.74, 119.01] and 50.30 [14.57, 173.57] respectively, fully adjusted models). Physical activity (PA) was independently associated with lower all-cause dementia risk when paired with APOE*4, stroke, and CHF in unadjusted models; these associations did not survive covariate adjustment. The joint effect of low PA and APOE*4 was associated with additively increased all-cause dementia risk (joint HR [95% CI]: 4.61 [2.07, 10.23], fully adjusted model). CONCLUSIONS: Reduction of VCMRFs, including low PA, could be valuable for dementia prevention, especially among APOE*4 carriers.

Single Atomic Layer Ferroelectric on Silicon.

A single atomic layer of ZrO2 exhibits ferroelectric switching behavior when grown with an atomically abrupt interface on silicon. Hysteresis in capacitance-voltage measurements of a ZrO2 gate stack demonstrate that a reversible polarization of the ZrO2 interface structure couples to the carriers in the silicon. First-principles computations confirm the existence of multiple stable polarization states and the energy shift in the semiconductor electron states that result from switching between these states. This monolayer ferroelectric represents a new class of materials for achieving devices that transcend conventional complementary metal oxide semiconductor (CMOS) technology. Significantly, a single atomic layer ferroelectric allows for more aggressively scaled devices than bulk ferroelectrics, which currently need to be thicker than 5-10 nm to exhibit significant hysteretic behavior (Park, et al. Adv. Mater. 2015, 27, 1811).

Resveratrol Alleviates Inflammatory Responses and Oxidative Stress in Rat Kidney Ischemia-Reperfusion Injury and H2O2-Induced NRK-52E Cells via the Nrf2/TLR4/NF-κB Pathway.

BACKGROUND: Ischemia-reperfusion injury (IRI) is one of the major causes of postoperative renal allograft dysfunction, which is mainly the result of proinflammatory reactions including inflammatory responses, oxidative stress, and metabolic disorders. Resveratrol (RSV) plays an important role in protecting various organs in IRI because it reduces oxidative stress, lessens the inflammatory response, and exerts anti-apoptotic effects. The aim of this study was to demonstrate the renoprotective effect of RSV in inhibiting inflammatory responses, reducing oxidative stress, and decreasing cell apoptosis in vivo and in vitro. METHODS: RSV was administered before renal ischemia and H2O2 induction. Serum and kidneys were harvested 24 h after reperfusion and NRK-52E cells were collected 4 h after H2O2 stimulation. Serum creatinine and blood urea nitrogen were used to assess renal function. Hematoxylin and eosin staining was performed to assess histological injury. Quantitative real-time PCR and enzyme-linked immunosorbent assay were used to assess proinflammatory cytokine expression. Oxidative stress-related proteins, such as Nrf2 and TLR4, were evaluated by western blot. Terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling assay was used to detect apoptotic cells in tissues, and western blot was used to evaluate the expression of caspase-3, -8, and -9 in this study. RESULTS: RSV inhibited inflammatory responses and improved renal function after renal IRI. Additionally, RSV decreased oxidative stress and reduced cell apoptosis by upregulating Nrf2 expression, downregulating the TLR4/NF-κB signaling pathway, and by decreasing caspase-3 activity and caspase cascades. CONCLUSION: Our study demonstrated the mechanisms underlying RSV renoprotection. We found that RSV exerts its greatest effects by blocking inflammatory responses, lowering oxidative stress, and reducing apoptosis via the Nrf2/TLR4/NF-κB pathway.

Estimation of Mycophenolic Acid Area Under the Curve With Limited-Sampling Strategy in Chinese Renal Transplant Recipients Receiving Enteric-Coated Mycophenolate Sodium.

BACKGROUND: The enteric-coated mycophenolate sodium (EC-MPS), whose active constituent is mycophenolic acid (MPA), has been widely clinically used for organ transplant recipients. However, its absorption is delayed due to its special designed dosage form, which results in difficulty to monitor the exposure of the MPA in patients receiving the EC-MPS. This study was aimed at developing a relatively practical and precise model with limited sampling strategy to estimate the 12-hour area under the concentration-time curve (AUC0-12 h) of MPA for Chinese renal transplant recipients receiving EC-MPS. METHODS: A total of 36 Chinese renal transplant recipients receiving the EC-MPS and tacrolimus were recruited in this study. The time point was 2 weeks after the transplantation for all the patients. The MPA concentrations were measured with enzyme-multiplied immunoassay technique for 11 blood specimens collected predose and at 0.5, 1, 1.5, 2, 2.5, 3, 4, 6, 8, and 12 hours after the morning dose of EC-MPS. The measured AUC was calculated with these 11 points of MPA concentrations with the linear trapezoidal rule. Limited sampling strategy was used to develop models for estimated AUC in the model group (n = 18). The bias and precision of different models were evaluated in the validation group (n = 18). RESULTS: C4 showed the strongest correlation with the measured AUC. The best 3 time point equation was 6.629 + 8.029 × C0 + 0.592 × C3 + 1.786 × C4 (R = 0.910; P < 0.001), whereas the best 4 time point equation was 3.132 + 5.337 × C0 + 0.735 × C3 + 1.783 × C4 + 3.065 × C8 (R = 0.959; P < 0.001). When evaluated in the validation group, the 4 time point model had a much better performance than the 3 time point model: for the 4 time point model: R = 0.873, bias = 0.505 [95% confidence interval (CI), -10.159 to 11.170], precision = 13.370 (95% CI, 5.186-21.555), and 77.8% of estimated AUCs was within 85%-115% of the measured AUCs; for the 3 time point model: R = 0.573, bias = 6.196 (95% CI, -10.627 to 23.018), precision = 21.286 (95% CI, 8.079-34.492), and 50.0% of estimated AUCs was within 85%-115% of the measured AUCs. CONCLUSIONS: It demanded at least 4 time points to develop a relatively reliable model to estimate the exposure of MPA in renal transplant recipients receiving the EC-MPS. The long time span needed restricted its application, especially for the outpatients, but it could be a useful tool to guide the personalized prescription for the inpatients.

Genetic Deficiency of Mtdh Gene in Mice Causes Male Infertility via Impaired Spermatogenesis and Alterations in the Expression of Small Non-coding RNAs.

Increased expression of metadherin (MTDH, also known as AEG-1 and 3D3/LYRIC) has been associated with drug resistance, metastasis, and angiogenesis in a variety of cancers. However, the specific mechanisms through which MTDH is involved in these processes remain unclear. To uncover these mechanisms, we generated Mtdh knock-out mice via a targeted disruption of exon 3. Homozygous Mtdh knock-out mice are viable, but males are infertile. The homozygous male mice present with massive loss of spermatozoa as a consequence of meiotic failure. Accumulation of γ-H2AX in spermatocytes of homozygous Mtdh knock-out mice confirms an increase in unrepaired DNA breaks. We also examined expression of the DNA repair protein Rad18, which is regulated by MTDH at the post-transcriptional level. In testes from Mtdh exon 3-deficient mice, Rad18 foci were increased in the lumina of the seminiferous tubules. The Piwi-interacting RNA (piRNA)-interacting protein Mili was expressed at high levels in testes from Mtdh knock-out mice. Accordingly, genome-wide small RNA deep sequencing demonstrated altered expression of piRNAs in the testes of Mtdh knock-out mice as compared with wild type mice. In addition, we observed significantly reduced expression of microRNAs (miRNAs) including miR-16 and miR-19b, which are known to be significantly reduced in the semen of infertile men. In sum, our observations indicate a crucial role for MTDH in male fertility and the DNA repair mechanisms required for normal spermatogenesis.