An auxiliary diagnostic tool for common fundus diseases based on fundus color photography and light-weight classification models.

OBJECTIVE: To evaluate the performance of two lightweight neural network models in the diagnosis of common fundus diseases and make comparison to another two classical models. METHODS: A total of 16,000 color fundus photography were collected, including 2000 each of glaucoma, diabetic retinopathy (DR), high myopia, central retinal vein occlusion (CRVO), age-related macular degeneration (AMD), optic neuropathy, and central serous chorioretinopathy (CSC), in addition to 2000 normal fundus. Fundus photography was obtained from patients or physical examiners who visited the Ophthalmology Department of Beijing Tongren Hospital, Capital Medical University. Each fundus photography has been diagnosed and labeled by two professional ophthalmologists. Two classical classification models (ResNet152 and DenseNet121), and two lightweight classification models (MobileNetV3 and ShufflenetV2), were trained. Area under the curve (AUC), sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were used to evaluate the performance of the four models. RESULTS: Compared with the classical classification model, the total size and number of parameters of the two lightweight classification models were significantly reduced, and the classification speed was sharply improved. Compared with the DenseNet121 model, the ShufflenetV2 model took 50.7% less time to make a diagnosis on a fundus photography. The classical models performed better than lightweight classification models, and Densenet121 showed highest AUC in five out of the seven common fundus diseases. However, the performance of lightweight classification models is satisfying. The AUCs using MobileNetV3 model to diagnose AMD, diabetic retinopathy, glaucoma, CRVO, high myopia, optic atrophy, and CSC were 0.805, 0.892, 0.866, 0.812, 0.887, 0.868, and 0.803, respectively. For ShufflenetV2model, the AUCs for the above seven diseases were 0.856, 0.893, 0.855, 0.884, 0.891, 0.867, and 0.844, respectively. CONCLUSION: The training of light-weight neural network models based on color fundus photography for the diagnosis of common fundus diseases is not only fast but also has a significant reduction in storage size and parameter number compared with the classical classification model, and can achieve satisfactory accuracy.

The Diagnostic Value of Carnett's Test with Chronic Abdominal Pain: A Narrative Review.

PURPOSE OF REVIEW: Chronic abdominal wall pain is a poorly recognized cause of chronic abdominal pain, and patients frequently go misdiagnosed despite a battery of medical tests. The Carnett's test is a diagnostic tool used to distinguish between abdominal wall pain and visceral pain. This review synthesizes the current literature on the Carnett's test, merges the viewpoints of diverse writers, and evaluates and reports on the Carnett's test's applicability. RECENT FINDINGS: Several clinical investigations have established the usefulness of the Carnett's test in the diagnosis of chronic abdominal wall pain. Furthermore, the Carnett's test is quite useful in determining the depth of the mass and detecting psychogenic abdominal pain. However, its diagnostic use for acute abdominal pain is limited. The Carnett's test is a simple and safe point-of-care diagnostic technique, with several studies supporting its usefulness. Early detection of abdominal wall pain is critical for chronic abdominal wall pain therapy. Carnett's test is very useful in patients with chronic, unexplained local abdominal discomfort who are compliant and do not have a clear rationale for surgery.

Migration mechanism of atrazine in the simulated lake icing process at different freezing temperatures based on density function theory.

Atrazine causes concern due to its resistant to biodegradation and could be accumulated in aquatic organisms, causing pollution in lakes. This study measured the concentration of atrazine in ice and the water under ice through a simulated icing experiment and calculated the distribution coefficient K to characterize its migration ability in the freezing process. Furthermore, density functional theory (DFT) calculations were employed to expatiate the migration law of atrazine during icing process. According to the results, it could release more energy into the environment when atrazine staying in water phase (-15.077 kcal/mol) than staying in ice phase (-14.388 kcal/mol), therefore it was beneficial for the migration of atrazine from ice to water. This explains that during the freezing process, the concentration of atrazine in the ice was lower than that in the water. Thermodynamic calculations indicated that when the temperature decreases from 268 to 248 K, the internal energy contribution of the compound of atrazine and ice molecule (water cluster) decreases at the same vibrational frequency, resulting in an increase in the free energy difference of the compound from -167.946 to -165.390 kcal/mol. This demonstrated the diminished migratory capacity of atrazine. This study revealed the environmental behavior of atrazine during lake freezing, which was beneficial for the management of atrazine and other pollutants during freezing and environmental protection.

Factor reallocation and cost pass-through under the carbon emission trading policy: Evidence from Chinese metal industrial chain.

Piloted in 2013, the Carbon Emission Trading (CET) policy is the most practical tool for emission reduction in China, however, midstream firms increase capital investment to cope with compliance costs, resulting in more expensive intermediate commodities that may hurt export benefits of industrial chain terminal. Based on the A-shared listed firms of Chinese metal industrial chain during 2008-2018, this paper applies the difference-in-difference model to explore the effects of CET on chain reactions of corporate activities. After a set of robustness tests, the results show that midstream firms accelerate capital deepening in response to CET and become more capital-intensive, but gain losses of outputs both in revenue and in quantity, accompanying cost pass-through to downstream firms, which are all contributed by the external pressure imposed by stakeholders and internal incentive from senior managers. Then, affected by price fluctuation in markets of production factors and carbon-intensive commodities, CET increases the cleanliness standards of midstream firms and promote their export benefits immediately, and cost pass-through generates more expensive intermediate products and results in export contraction of downstream firms, but precision machine manufacturing has seen export growth, as their products are more sensitive to technological breakthroughs than material costs.

Does environmental regulation enhance firm's position in dual value chain? An analysis based on environmental information disclosure.

Climbing the dual value chain (DVC) of parallel development in global and domestic value chains is an important channel to get rid of bottom solidification. Based on the data of international input-output tables after embedding provinces and decomposing value-added flow during 2003-2012, this article provides measurement for downstream or upstream embedding and division position indexes of A-listed firms. Then, theoretical framework of environmental regulation affecting DVC embeddedness is constructed, and the Environmental Information Disclosure (EID) trial implemented in 2008 is regarded as a quasi-natural experiment. The results show that EID enhances corporate division position in DVC by weakening downstream embeddedness and increasing upstream embeddedness, domestic firms are gradually transforming from low-end manufacturers to high-end designers. The effect works with a year lag in downstream embeddedness and lags 2 years in others. Heterogeneity analysis confirms that enhancement of division position is more sensitive in resource-rich cities with high marketization or labor-intensive firms and manufacturing or service sectors. Besides, we find that environmental regulation such as EID induces technological innovation for process upgrade, product improvement for quality upgrade and allocation optimization for function upgrade to transform the role and degree of firms embedding DVC.

Novel circulating tumor cell-based blood test for the assessment of PD-L1 protein expression in treatment-naïve, newly diagnosed patients with non-small cell lung cancer.

We evaluated the analytical and clinical performance of a novel circulating tumor cell (CTC)-based blood test for determination of programmed death ligand 1 (PD-L1) protein expression status in real time in treatment-naïve non-small cell lung cancer (NSCLC) patients. CTCs were detected in 86% of patients with NSCLC (I-IV) at the time of diagnosis, with a 67% PD-L1 positivity rate (≥ 1 PDL + CTC). Among 33 NSCLC patients with PD-L1 results available via both tissue immunohistochemistry (IHC) and CTC assays, 78.9% were positive according to both methods. The CTC test identified an additional ten cases that were positive for PD-L1 expression but that tested negative via IHC analysis. Detection of higher PD-L1 expression on CTCs compared to that in the corresponding tissue was concordant with data obtained using other platforms in previously treated patients. The concordance in PD-L1 expression between tissue and CTCs was approximately 57%, which is higher than that reported by others. In summary, evaluation of PD-L1 protein expression status on CTCs isolated from NSCLC patients is feasible. PD-L1 expression status on CTCs can be determined serially during the disease course, thus overcoming the myriad challenges associated with tissue analysis.

A new menthane-type monoterpenoid from fermented Illigera aromatica with Clonostachys rogersoniana 828H2.

A new menthane-type monoterpenoid, illigerate E (1), as well as two known ones, (1R*,3R*,4S*,6R*)-6,8-dihydroxymenthol (2) and cis-4-hydroxy-5-(1-hydroxy-1-methylethyl)-2-methyl-2-cyclohexene-1-one (3), were isolated from fermented Illigera aromatica with Clonostachys rogersoniana 828H2. Their structures were identified by HRESIMS and 1D/2D NMR spectra. Their inhibitory effects of NO production in RAW 264.7 macrophages were estimated.

Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals.

Understanding the consequences of regulatory variation in the human genome remains a major challenge, with important implications for understanding gene regulation and interpreting the many disease-risk variants that fall outside of protein-coding regions. Here, we provide a direct window into the regulatory consequences of genetic variation by sequencing RNA from 922 genotyped individuals. We present a comprehensive description of the distribution of regulatory variation--by the specific expression phenotypes altered, the properties of affected genes, and the genomic characteristics of regulatory variants. We detect variants influencing expression of over ten thousand genes, and through the enhanced resolution offered by RNA-sequencing, for the first time we identify thousands of variants associated with specific phenotypes including splicing and allelic expression. Evaluating the effects of both long-range intra-chromosomal and trans (cross-chromosomal) regulation, we observe modularity in the regulatory network, with three-dimensional chromosomal configuration playing a particular role in regulatory modules within each chromosome. We also observe a significant depletion of regulatory variants affecting central and critical genes, along with a trend of reduced effect sizes as variant frequency increases, providing evidence that purifying selection and buffering have limited the deleterious impact of regulatory variation on the cell. Further, generalizing beyond observed variants, we have analyzed the genomic properties of variants associated with expression and splicing and developed a Bayesian model to predict regulatory consequences of genetic variants, applicable to the interpretation of individual genomes and disease studies. Together, these results represent a critical step toward characterizing the complete landscape of human regulatory variation.

Alkaloids with antioxidant activities from Aconitum handelianum.

A new C20-diterpenoid alkaloid handelidine (1) and twenty-seven known alkaloids (2-28) were isolated from the roots of Aconitum handelianum. Their structures were established on the basis of extensive spectroscopic analyses. The study indicated that denudatine-type C20-diterpenoid alkaloids with vicinal-triol system and benzyltetrahydroisoquinoline alkaloids exhibited significant antioxidant activities measured by three antioxidant test systems. The aconitine-type C19-diterpenoid alkaloids could serve as potential secondary antioxidants for their strong binding effects to metal ions.

Consanguinity and Nonsuicidal Self-Injury in Depressed Patients: New Risk Factors and Risk Prediction Models.

Objective: The aim of the study was to identify the risk factors associated with nonsuicidal self-injurious (NSSI) behavior in patients with depressive disorders and develop predictive models utilizing these influencing factors as predictors, followed by validation of the constructed models for their efficacy. Methods: Patients with depression disorders admitted to Wuhan Mental Health Center from 2020 to 2021 were included using retrospective analysis. Patients who exhibited one or more items on the NSSI behavior rating questionnaire were categorized into the NSSI group, while those without any such behaviors were assigned to the non-NSSI group. Patients in both groups were categorized separately based on gender, age, personality traits, and interpersonal relationships. The above data were analyzed using multiple logistic regression analysis. Prediction models were constructed, receiver operating characteristic (ROC) curves were produced and model accuracy was calculated. Results: A total of 237 patients were included in this study, with 122 patients assigned to the NSSI group and 115 patients assigned to the non-NSSI group. By comparing the baseline data of the patients in the 2 groups, the results revealed statistically significant differences between the 2 groups in terms of age, grades at school, early childhood parenting style, Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Scale (HAMA), and Experiences in Close Relationships Scale (ECRS) (P＜.05). However, no statistically significant differences were observed for the remaining indicators (P＞.05). The results of the multiple logistic regression model showed that grades at school, early childhood parenting style, HAMD, HAMA, and ECRS scores were risk factors. The ROC model was constructed using school performance, childhood parenting style, HAMD, HAMA, and ECRS scores as predictors. The findings indicated that the ECRS score was the best predictor of NSSI, and it had a sensitivity of 91.8% and specificity of 70.5% for an area of 0.967. Conclusion: ECRS was utilized as a predictor to evaluate the NSSI inclination of depressed patients with commendable sensitivity and specificity. Furthermore, early childhood parenting style, HAMD, HAMA, and ECRS scores were identified as risk factors for NSSI. For individuals at high risk who exhibit these aforementioned risk factors, clinical diagnosis and treatment should be approached with caution.

Boron removal in seawater desalination by progressive freezing-melting.

Desalination plays a crucial role in addressing water scarcity and promoting sustainable development. However, the presence of high boron content in seawater poses a significant challenge. This study introduces a progressive freezing-melting method that effectively removes boron while desalinating seawater. The experimental results indicated that salinity and boron rate of removal increased with freezing temperature and decreased with freezing duration. Among the experimental melting methods, ultrasonic melting (UM) and oscillatory melting (OM) were superior to natural melting (NM) for boron removal and desalination, with oscillatory melting proving to be the most effective. Specifically, when seawater was frozen at - 20 °C for 44 h followed by OM of 55% of the ice, salinity and boron removal rates reached 96.79% and 97.60%, respectively. The concentrations of boron and salinity in the treated seawater were only 0.777‰ and 0.149 mg/L. Moreover, the estimated theoretical energy consumption for treating 1 m3 of seawater was calculated to be 5.95 kWh. This study not only contributes to environmental sustainability but also holds significant potential due to its high efficiency in desalination and boron removal.

Accumulation of antitumor polyketides by fermentation of Rubus delavayi Franch. with Clonostachys rogersoniana.

The aim of this work is to explore the effects of herbal medicine on secondary metabolites of microorganisms during fermentation. Clonostachys rogersoniana was found to metabolize only small amounts of polyketide glycosides rogerson B and C on fresh potatoes, but after replacing the medium to the medicinal plant Rubus delavayi Franch., the type and content of the metabolized polyketones showed significant changes. The sugars and glycosides in R. delavayi are probably responsible for the changes in secondary metabolites. Six polyketide glycosides including a new metabolite, rogerson F, and two potential antitumor compounds, TMC-151C and TMC-151D, were isolated from the extract of R. delavayi fermented by C. rogersoniana. In addition, 13C labeling experiments were used to trace the biosynthesis process of these compounds. TMC-151C and TMC-151D showed significant cytotoxic activity against PANC-1, K562 and HCT116 cancer cells but had no obvious cytotoxic activity against BEAS-2B human normal lung epithelial cells. The yields of TMC-151C and TMC-151D reached 14.37 ± 1.52 g/kg and 1.98 ± 0.43 g/kg, respectively, after fermentation at 28 °C for 30 days. This is the first study to confirm that herbal medicine can induce microbes to metabolize active compounds. And the technology of fermenting medicinal materials can bring more economic value to medicinal plants.

Hydrogen-releasing magnesium hydrogel mitigates post laminectomy epidural fibrosis through inhibition of neutrophil extracellular traps.

Epidural fibrosis is a primary contributor to the failure of laminectomy surgeries, leading to the development of failed back surgery syndrome (FBSS). Post-laminectomy, neutrophils infiltrate the surgical site, generating neutrophil extracellular traps (NETs) that contribute to epidural fibrosis. Reactive oxygen species (ROS) play a pivotal role in mediating NETs formation. Molecular hydrogen, recognized for its selective antioxidant properties and biosafety, emerges as a potential therapeutic gas in suppressing epidural fibrosis. In this study, we developed an in-situ hydrogen release hydrogel that inhibits the formation of NETs and mitigates epidural scarring. Biodegradable magnesium (Mg) microspheres served as a hydrogen source, coated with PLGA to regulate hydrogen release. These microspheres (Mg@PLGA) were then incorporated into a PLGA-PEG-PLGA thermosensitive hydrogel (Mg@PLGA@Gel), providing a surgical implant for sustained, long-term hydrogen release. In vitro experiments confirmed the biocompatibility of the system, demonstrating that hydrogen produced by Mg@PLGA effectively neutralizes neutrophil intracellular ROS and inhibits NETs formation. Histological analyses, including H&E staining, MRI, Masson staining, and immunohistochemistry, collectively indicate that Mg@PLGA@Gel is biocompatible and effectively inhibits epidural fibrosis post-laminectomy. Furthermore, Mg@PLGA@Gel inhibits ROS accumulation and NETs formation at the surgical site. These findings suggest that Mg@PLGA@Gel ensures continuous, therapeutic hydrogen concentration, providing relief from epidural fibrosis in a laminectomy mouse model. STATEMENT OF SIGNIFICANCE: •The hydrogen-releasing hydrogel combines the therapeutic effects of a physical barrier with immunomodulation. •In situ-generated molecular hydrogen scavenges ROS caused by surgical stress and suppresses NETs formation. •The hydrogen-releasing hydrogel is demonstrated to exhibit high biocompatibility and inhibit epidural scar formation in vivo.

Interlayer bond polarizability model for interlayer phonons in van der Waals heterostructures.

Raman scattering provides essential insights into phonons, electronic structures and electron-phonon coupling within solids through the intensity of Raman peaks, which cannot be easily quantified using the classical bond polarizability model. The interlayer bond polarizability model (IBPM) had been developed to understand the Raman intensity of layer-breathing modes (LBMs) in two-dimensional materials. However, the quantitative understanding of the LBM intensity of a van der Waals heterostructure (vdWH) remains challenging. Here, in polynary vdWHs comprising twisted multilayer graphene (tMLG), MoS2 and hBN, we observed a series of LBMs, whose intensity is markedly dependent on the excitation energy and twist angle of the tMLG constituent. An improved IBPM is proposed to quantitatively understand the Raman intensity of LBMs in the tMLG-based vdWHs, including the emergence or absence of a specific LBM when the excitation energy is resonant with the electronic states of tMLG or MoS2 constituents. This work underscores the significant potential of the improved IBPM in accurately understanding and predicting the intensity profile of LBM in polynary vdWHs, even for the case of Raman scattering with excitation energies selectively resonant with the electronic states of the corresponding specific constituents.

The Distribution and Influence Factors of Non-Invasive Tear Film Break-Up Time in Children.

Objective: To explore the distribution and influence factors of non-invasive tear film break-up time (NIBUT) in children. Methods: This is a hospital-based cross-sectional study. Spherical equivalent error (SER) was measured with cycloplegia. NIBUT was measured by an ocular surface integrated analyzer. Results: A total of 1269 children (1269 eyes) were included in this study. Participants' median age was 11 (range 6-18) years. 47.1% (598/1269) of participants were boys. The median NIBUT of myopic children and non-myopic children were 9.9 seconds (s) (Inter-quartile range, IQR: 6.4 to 16.1) and 10.9 s (IQR: 8.8 to 17.9), respectively, which was statistically significant (p = 0.004). In myopic children, 49.9% (573/1148) were able to achieve NIBUT of 10 s or more, compared to 67.8% (82/121) in non-myopic children, which was statistically significant (p < 0.001). There were 41 (3.57%) children in the myopic group and none (0%) in the non-myopic group with dry eye disease (p = 0.028). There was a positive correlation between NIBUT and age: NIBUT = 9.256 + 0.352*Age. 71.8% (824/1148) of myopic children used electronic products almost every day, compared to 37.2% (45/121) of non-myopic children, which was statistically significant (p < 0.001). Conclusion: The NIBUT of myopic children was significantly shorter than that of non-myopic children. Children with myopia are more likely to have dry eyes. NIBUT increases with age. High frequency of electronic product use may be an important cause to NIBUT shortening in children.

Progress in deciphering the role of p53 in diffuse large B-cell lymphoma: mechanisms and therapeutic targets.

Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoma subtype, accounting for 30%-40% of non-Hodgkin lymphoma in adults. The mechanisms underlying DLBCL occurrence are extremely complex, and involve the B-cell receptor (BCR) and Toll-like receptor (TLR) signaling pathways, as well as genetic abnormalities and other factors. With the development of high-throughput sequencing, an increasing number of abnormal genes have been identified in DLBCL. Among them, the tumor protein p53 (TP53/p53) gene is important in DLBCL occurrence. Patients with DLBCL carrying TP53 gene abnormalities generally have poor prognosis and studies of p53 have potential to provide a better basis for their treatment. Normally, p53 is maintained at low levels through its interaction with murine double minute 2 (MDM2), and prevents tumorigenesis by mediating cell cycle arrest, apoptosis, and repair of damaged cells, among other processes. Therefore, the prognosis of patients with DLBCL harboring TP53 gene abnormalities (mutations, deletions, etc.) is poor, and targeting p53 for tumor therapy has become a research hotspot, following developments in molecular biology technologies. Current treatments targeting p53 mainly act by restoring the function or promoting degradation of mutant p53, and enhancing wild-type p53 protein stability and activity. Based on the current status of p53 research, exploration of existing therapeutic methods to improve the prognosis of patients with DLBCL with TP53 abnormalities is warranted.

Specialized metabolites of the endophyte Annulohypoxylon areolatum hosted by Aconitum carmichaelii.

Seven previously undescribed compounds, including one amino acid hybrid sesquiterpene areolatol A (1), two unusual natural sesquiterpenoid skeleton areolatones A-B (2-3) and four benzo[j]fluoranthene areolaranes A-D (4-7) were characterized from Annulohypoxylon areolatum. The structures of the compounds were determined by extensive spectroscopic analysis, X-ray diffraction analysis, and ECD and NMR computational. Notably, areolatol A (1) was the first reported sesquiterpene featuring a 5/7/3-ring system and hybridized with two molecular amino acids. In addition, areolaranes A-D (4-7) were identified as possible chemophenetic markers.

Effects of atropine eyedrops at ten different concentrations for myopia control in children: A systematic review on meta-analysis.

PURPOSE: To estimate the effect of atropine eyedrops at different concentrations for myopia control in children. METHODS: We conducted a Bayesian random-effects network meta-analysis based on randomized controlled trials (RCT). Primary outcomes include changes in spherical equivalent error (SER) and changes in axial length (AL), mean difference (MD) together with 95% credible interval (CrI) were used to evaluate the efficacy. RESULTS: 28 RCTs (6608 children) were included in this review. Comparing ten atropine eyedrops (0.0025%, 0.005%, 0.01%, 0.02%, 0.025%, 0.05%, 0.1%, 0.25%, 0.5% and 1% concentrations) with the placebo, the MDs and 95%CrIs of changes in SER are -0.006 (-0.269, 0.256) D, 0.216 (-0.078, 0.508) D, 0.146 (0.094, 0.199) D, 0.167 (0.039, 0.297) D, 0.201 (0.064, 0.341) D, 0.344 (0.251, 0.440) D, 0.255 (0.114, 0.396) D, 0.296 (0.140, 0.452) D, 0.331 (0.215, 0.447) D, and 0.286 (0.195, 0.337) D, respectively. The MDs and 95%CrIs of changes in AL are -0.048 (-0.182, 0.085) mm, -0.078 (-0.222, 0.066) mm, -0.095 (-0.130, -0.060) mm, -0.096 (-0.183, -0.009) mm, -0.083 (-0.164, -0.004) mm, -0.114 (-0.176, -0.056) mm, -0.134 (-0.198, -0.032) mm, -0.174 (-0.315, -0.061) mm, -0.184 (-0.291, -0.073) mm, and -0.171 (-0.203, -0.097) mm, respectively.Whether evaluated by SER or AL, 1% concentration ranks first in efficacy, but the risk of photophobia is 17 times higher than 0.01% concentration. CONCLUSIONS: 0.01% or higher concentration atropine eyedrops are effective for myopia control, while 0.0025% and 0.005% concentrations may not. As the concentration increases, the effect tends to increase, 1% concentration may have the strongest effect.

Single-arm study of camrelizumab plus apatinib for patients with advanced mucosal melanoma.

BACKGROUND: Previous studies have suggested the potential synergistic antitumor activity when combining immune checkpoint inhibitors with anti-angiogenic agents in various solid tumors. We aimed to assess the efficacy and safety of camrelizumab (a humanized programmed cell death-1 antibody) plus apatinib (a vascular endothelial growth factor receptor tyrosine kinase inhibitor) for patients with advanced mucosal melanoma (MM), and explore-related biomarkers. METHODS: We conducted a single-center, open-label, single-arm, phase II study. Patients with unresectable or recurrent/metastatic MM received camrelizumab and apatinib. The primary endpoint was the confirmed objective response rate (ORR). RESULTS: Between April 2019 and June 2022, 32 patients were enrolled, with 50.0% previously received systemic therapy. Among 28 patients with evaluable response, the confirmed ORR was 42.9%, the disease control rate was 82.1%, and the median progression-free survival (PFS) was 8.05 months. The confirmed ORR was 42.9% (6/14) in both treatment-naïve and previously treated patients. Notably, treatment-naïve patients had a median PFS of 11.89 months, and those with prior treatment had a median PFS of 6.47 months. Grade 3 treatment-related adverse events were transaminase elevation, rash, hyperbilirubinemia, proteinuria, hypertension, thrombocytopenia, hand-foot syndrome and diarrhea. No treatment-related deaths were observed. Higher tumor mutation burden (TMB), increased T-cell receptor (TCR) diversity, and altered receptor tyrosine kinase (RTK)/RAS pathway correlated with better tumor response. CONCLUSION: Camrelizumab plus apatinib provided promising antitumor activity with acceptable toxicity in patients with advanced MM. TMB, TCR diversity and RTK/RAS pathway genes were identified as potential predictive biomarkers and warrant further validation. TRIAL REGISTRATION NUMBER: Chinese Clinical Trial Registry, ChiCTR1900023277.

Identifying signatures of natural selection in Tibetan and Andean populations using dense genome scan data.

High-altitude hypoxia (reduced inspired oxygen tension due to decreased barometric pressure) exerts severe physiological stress on the human body. Two high-altitude regions where humans have lived for millennia are the Andean Altiplano and the Tibetan Plateau. Populations living in these regions exhibit unique circulatory, respiratory, and hematological adaptations to life at high altitude. Although these responses have been well characterized physiologically, their underlying genetic basis remains unknown. We performed a genome scan to identify genes showing evidence of adaptation to hypoxia. We looked across each chromosome to identify genomic regions with previously unknown function with respect to altitude phenotypes. In addition, groups of genes functioning in oxygen metabolism and sensing were examined to test the hypothesis that particular pathways have been involved in genetic adaptation to altitude. Applying four population genetic statistics commonly used for detecting signatures of natural selection, we identified selection-nominated candidate genes and gene regions in these two populations (Andeans and Tibetans) separately. The Tibetan and Andean patterns of genetic adaptation are largely distinct from one another, with both populations showing evidence of positive natural selection in different genes or gene regions. Interestingly, one gene previously known to be important in cellular oxygen sensing, EGLN1 (also known as PHD2), shows evidence of positive selection in both Tibetans and Andeans. However, the pattern of variation for this gene differs between the two populations. Our results indicate that several key HIF-regulatory and targeted genes are responsible for adaptation to high altitude in Andeans and Tibetans, and several different chromosomal regions are implicated in the putative response to selection. These data suggest a genetic role in high-altitude adaption and provide a basis for future genotype/phenotype association studies necessary to confirm the role of selection-nominated candidate genes and gene regions in adaptation to altitude.