Factors Influencing Early Diagnosis and Poor Prognosis of Dysphagia After Senile Ischemic Stroke.

Dysphagia is often a long-term problem after ischemic stroke, which are often accompanied by complications and results in poor outcome. This study aimed to investigate the influencing factors associated with the prognosis of dysphagia after senile ischemic stroke and evaluate the diagnostic performance of crucial factors. A total of 192 elderly ischemic stroke patients (96 patients without dysphagia with average age of 69.81 ± 4.61 years and 96 patients with dysphagia with average of 70.00 ± 6.66 years) were enrolled in the retrospective study. The clinical factors of the patients were collected and recorded for chi-square analysis and logistic analysis. The receiver operating characteristic (ROC) curve was performed to evaluate the diagnostic performance of international normalized ratio (INR) and homocysteine (Hcy) in senile ischemic stroke patients. The age, cough reflex, history of stroke, mechanical ventilation, eating posture, insufficient elevation of the larynx, standard swallowing assessment (SSA) score, Hcy value, and INR were closely related to endpoint events of patients with dysphagia. The joint model (combined INR and Hcy value) can increase the area under the curve (AUC) value (0.948) with higher sensitivity and specificity for predicting patients with dysphagia occurred endpoint events. The influencing factors for older ischemic stroke patients with dysphagia include age, cough reflex, history of stroke, mechanical ventilation, eating posture, insufficient elevation of the larynx, SSA score, Hcy value, and INR. INR and Hcy were independent risk factors for prognosis and diagnostic markers for patients with dysphagia after senile ischemic stroke.

Genome-Wide Association Mapping of Processing Quality Traits in Common Wheat (Triticum aestivum L.).

Processing quality is an important economic wheat trait. The marker-assisted selection (MAS) method plays a vital role in accelerating genetic improvement of processing quality. In the present study, processing quality in a panel of 165 cultivars grown in four environments was evaluated by mixograph. An association mapping analysis using 90 K and 660 K single nucleotide polymorphism (SNP) arrays identified 24 loci in chromosomes 1A, 1B (4), 1D, 2A, 2B (2), 3A, 3B, 3D (2), 4A (3), 4B, 5D (2), 6A, 7B (2) and 7D (2), explaining 10.2-42.5% of the phenotypic variances. Totally, 15 loci were stably detected in two or more environments. Nine loci coincided with known genes or QTL, whereas the other fifteen were novel loci. Seven candidate genes encoded 3-ketoacyl-CoA synthase, lipoxygenase, pyridoxal phosphate-dependent decarboxylase, sucrose synthase 3 and a plant lipid transfer protein/Par allergen. SNPs significantly associated with processing quality and accessions with more favorable alleles can be used for marker-assisted selection.

Impact of social reward on the evolution of cooperation in voluntary prisoner's dilemma.

The existence and sustainability of cooperation is a critical issue in nature and social systems. Reward is an essential mechanism to enhance cooperation. Meanwhile, some individuals loathe competition and then choose to escape and become a loner in competition. In this scenario, we propose a four-strategy networked evolutionary game model involving rewarders, loners, cooperators, and defectors. The classical square lattice and the Erdös-Rényi random network are adopted to describe the interaction between individuals. The four-strategy model is an extension of the classic prisoner's dilemma game model. The simulation results show that the introduction of new strategic choices can significantly improve cooperation in the population. The promotion level of cooperation is directly correlated with reward intensity and negatively correlated with reward cost. With regard to the evolution of altruistic behaviors, the fixed income from interactions with loners has an impact that is connected to the temptation to defect. Furthermore, by analyzing characteristic snapshots of four strategies, we further dissect the essence of the evolution of cooperation. As the temptation value increases, cooperators and rewarders first form compact clusters, then more and more loners join to resist the intrusion of defectors. Eventually, the three strategies coexist stably in a spatially structured population. Our research may shed some light on exploring the nature of cooperation and solving social dilemmas in the future.

Treatment of endometriosis with dienogest in combination with traditional Chinese medicine: A systematic review and meta-analysis.

Background: Endometriosis is now considered to be a systemic disease rather than a disease that primarily affects the pelvis. Dienogest (DNG) has unique advantages in the treatment of endometriosis, but it also has side effects. Alternatively, Traditional Chinese Medicine (TCM) has been used for over 2000 years in the treatment and prevention of disease and growing numbers of Chinese scholars are experimenting with the combined use of Dienogest and TCM for endometriosis treatment. Objectives: This review evaluated the efficacy and safety of TCM in combination with Dienogest in the treatment of endometriosis through meta-analysis. Methods: MEDLINE, Embase, the Cochrane Library, PubMed, Web of Science, China National Knowledge Infrastructure, Journal Integration Platform, and Wanfang were used in literature searches, with a deadline of May 31, 2022. Literature quality was assessed using the Cochrane Collaboration "risk of bias" (ROB2) tool, and the "meta" package of R software v.4.1 was used for meta-analysis. Dichotomous variables and continuous variables were assessed using the relative risk (RR) and 95% confidence intervals (95% CI); standard mean differences (MD) and 95% CI, respectively. Results: Twelve human randomized controlled trials (RCTs) and one retrospective study, all 13 written in the Chinese language, were included in the meta-analysis (720 experiments and 719 controls). The result indicated that TCM plus Dienogest was superior to Dienogest/TCM alone in increasing the cure rates (RR = 1.3780; 95% CI, 1.1058, 1.7172; P = 0.0043), remarkable effect rate (RR = 1.3389; 95% CI, 1.1829, 1.5154; P < 0.0001), invalid rate (RR = 0.2299; 95% CI, 0.1591, 0.3322; P < 0.0001), and rate of adverse effects (RR = 0.6177; 95% CI, 0.4288, 0.8899; P = 0.0097). The same conclusion was drawn from the subgroup analysis. Conclusion: Results suggest that TCM combined with Dienogest is superior to Dienogest or TCM alone and can be used as a complementary treatment for endometriosis. TCMs have potential to improve clinical efficacy and reduce the side effects of Dienogest. This study was financially supported by Annual Science and Technology Steering Plan Project of Zhuzhou. PROSPERO has registered our meta-analysis as CRD42022339518 (https://www.crd.york.ac.uk/prospero/record_email.php).

Effectiveness of smart health-based rehabilitation on patients with poststroke dysphagia: A brief research report.

Objective: This study aimed to evaluate the effectiveness of smart health-based rehabilitation on patients with poststroke dysphagia (PSD). Methods: We recruited 60 PSD patients and randomly allocated them to the intervention (n = 30) and control (n = 30) groups. The former received the smart health-based rehabilitation for 12 weeks, whereas the latter received routine rehabilitation. Water swallow test (WST), standardized swallowing assessment (SSA), swallow quality-of-life questionnaire (SWAL-QOL), stroke self-efficacy questionnaire (SSEQ), perceived social support scale (PSSS) and nutritional measurements including body weight, triceps skinfold thickness (TSF), total protein (TP), serum albumin (ALB) and serum prealbumin (PA) in both groups were measured. Results: When the baseline WST, SSA, SWAL-QOL, SSEQ, PSSS and nutritional measurements were examined, there was no significant difference between the intervention group and the control group (P > 0.05). After rehabilitation interventions, the WST and SSA scores in the intervention group were significantly lower than those in the control group (P < 0.01). The SWAL-QOL, SSEQ and PSSS scores in the intervention group were significantly higher than in the control group (P < 0.01). Compared with the control group, the intervention group showed an increase in the serum levels of PA (P < 0.01). However, no statistically significant difference existed between the intervention group and the control group in terms of body weight, TSF, TP or ALB (P > 0.05). Conclusions: Overall, our data revealed that smart health-based rehabilitation is significantly beneficial to the swallowing function, quality of life, self-efficacy, and social support for PSD patients when compared with routine rehabilitation. However, nutritional measurements were not significantly improved in such patients under the smart health-based rehabilitation when compared the routine rehabilitation. In the future, it is necessary to extend the intervention time to further evaluate the long-term efficacy of smart health-based rehabilitation on nutritional measurements of PSD patients.

Effect of the Mendelsohn maneuver and swallowing training in patients with senile vascular dementia complicated with dysphagia.

OBJECTIVE: We investigated the effect of the Mendelsohn maneuver and swallowing training in patients with senile vascular dementia complicated with dysphagia. METHODS: We randomly classified 214 patients with senile vascular dementia and swallowing dysfunction into a control group (CG, n = 106) and observation group (OG, n = 108). Both groups underwent health education, psychological intervention, and training of the oral muscle group. The OG additionally underwent the Mendelsohn maneuver and swallowing training. The Hasegawa Dementia Scale (HDS), China Stroke Scale (CSS), and Neurobehavioral Cognitive Status Examination (NCSE) were used to evaluate dementia, neurological impairment, and cognitive dysfunction, respectively. RESULTS: The OG had a higher rate of effective therapy than the CG. After intervention, the OG showed better swallowing function than the CG. At 15 days and 1 month after intervention, the OG had higher video fluoroscopic swallowing exam scores than the CG. The OG had lower serum interleukin (IL)-1, IL-6, and tumor necrosis factor-α levels than the CG. After intervention, the OG had higher HDS and NCSE scores and lower CSS scores than the CG. CONCLUSIONS: The Mendelsohn maneuver and swallowing training can improve swallowing function in patients with senile vascular dementia complicated with dysphagia and help to ameliorate the inflammatory response.

Environmental feedback promotes the evolution of cooperation in the structured populations.

Environment plays a vital role in individual decision-making. In the game process, employing the strategy of the opponent who behaves better is nontrivial for the evolution and maintenance of cooperation, in that such a behavior may assist the player in achieving higher personal interests and more competitive superiorities. Enlightened by this thought, a coevolutionary model where the mechanisms of dynamic environment and preference selection are introduced in the networked prisoner's dilemma game is considered. Individual preference selection is introduced in the strategy update process to probe how the preferences of the latent strategy sources interfere with individual behaviors. The environment defined in the model is not only heterogeneous, but also evolves with the evolution of individual strategies. Through conducting large-scale Monte Carlo simulations, we draw a conclusion that the introduction of evolutionary environment-related preference selection is an effective promoter of cooperation even under a severe temptation. Our exploration indicates that the coevolutionary model may have a practical significance and provide a new insight into the analysis of the origin of cooperation in structured populations for further research.

Investment preference promotes cooperation in spatial public goods game.

It is usually assumed that each cooperator contributes equally to different public pools in spatial public goods game. However, it is more reasonable to invest differently according to individual investment preference. In this paper, an extended public goods game, in which cooperators contribute to the groups according to the investment preference, is developed. The investment preference of a cooperator is characterized by the fraction of the cooperator from his/her own memory about a group and the intensity of investment preference is represented by a tunable parameter α. The well-mixed population and the structured population are analyzed under this mechanism. It is shown that the investment preference can give rise to coordination. Moreover, the extensive numerical simulation results show that with the increasing of investment preference density or memory length, the proportion of cooperation can increase monotonously. This is because the investment preference could help cooperators resist the invasion from defectors. Compared with the basic version, the new mechanism is able to promote cooperation effectively. Our research may provide a valuable insight for further exploring the nature of cooperation in the real world.

Environment-based preference selection promotes cooperation in spatial prisoner's dilemma game.

The impact of environment on individuals is particularly critical. In evolutionary games, adopting the strategy of the neighbor who performs better is nontrivial for the survival and maintenance of cooperation, in that such an action may help the agents to obtain higher benefit and more obvious evolutionary advantages. Inspired by this idea, we investigate the effect of the environment-based preference selection on the evolution of cooperation in spatial prisoner's dilemma. A simple rule, incorporating individual preference selection via an adjustable parameter α to explore how the selection of the potential strategy sources influences individual behavior traits, is considered. Because social interaction may not be the only way of generating payoffs, we assume that the individual's income is also affected by the environment. Besides, taking into account individual differences, we introduce the heterogeneity of the environment. Through numerous computing simulations, we find that environment-based preference selection, which accelerates the microscopic organization of cooperator clusters to resist the aggression of defectors, can truly promote cooperation within a large range of parameters. Our study indicates that the combination of heterogeneity and preference selection may be key for the sustainability of cooperation in structured populations.

Coevolution of teaching ability and cooperation in spatial evolutionary games.

Individuals with higher reputation are able to spread their social strategies easily. At the same time, one's reputation is changing according to his previous behaviors, which leads to completely different teaching abilities for players. To explore the effect of the teaching ability influenced by reputation, we consider a coevolutionary model in which the reputation score affects the updating rule in spatial evolutionary games. More precisely, the updating probability becomes bigger if his/her partner has a positive reputation. Otherwise, the updating probability becomes smaller. This simple design describes the influence of teaching ability on strategy adoption effectively. Numerical results focus on the proportion of cooperation under different levels of the amplitude of change of reputation and the range of reputation. For this dynamics, the fraction of cooperators presents a growth trend within a wide range of parameters. In addition, to validate the generality of this mechanism, we also employ the snowdrift game. Moreover, the evolution of cooperation on Erdos-Rényi random graph is studied for the prisoner's dilemma game. Our results may be conducive to understanding the emergence and sustainability of cooperation during the strategy adoptions in reality.

Overexpression of Slit2 improves function of the paravascular pathway in the aging mouse brain.

Aging is associated with impairment of the paravascular pathway caused by the activation of astrocytes and depolarization of protein aquaporin­4 (AQP4) water channels, resulting in the accumulation of protein waste, including amyloid ß (Aß), in the brain parenchyma. The secreted glycoprotein slit guidance ligand 2 (Slit2) is important in regulating the function of the central nervous system and inflammatory response process. In the present study, 15­month­old Slit2 overexpression transgenic mice (Slit2­Tg mice) and two­photon fluorescence microscopy were used to evaluate the dynamic clearance of the paravascular pathway and the integrity of the blood­brain barrier (BBB). The reactivity of astrocytes, polarity of AQP4 and deposition of Aß in the brain parenchyma were analyzed by immunofluorescence. A Morris water maze test was used to examine the effect of Slit2 on spatial memory cognition in aging mice. It was found that the overexpression of Slit2 improved the clearance of the paravascular pathway by inhibiting astrocyte activation and maintaining AQP4 polarity on the astrocytic endfeet in Slit2­Tg mice. In addition, Slit2 restored the disruption of the BBB caused by aging. The accumulation of Aß was significantly reduced in the brain of Slit2­Tg mice. Furthermore, the water maze experiment showed that Slit2 improved spatial memory cognition in the aging mice. These results indicated that Slit2 may have the potential to be used in the prevention and treatment of neurodegenerative diseases in the elderly.

Heterogeneous indirect reciprocity promotes the evolution of cooperation in structured populations.

A fundamental aspect of all biological system is cooperation. Human society is based to a large extent on mechanisms that favor cooperation. Indirect reciprocity is a crucial factor for the emergence and maintenance of cooperation in evolutionary games. In this work, we introduce a mechanism of heterogeneous indirect reciprocity in the prisoner's dilemma game, where an altruistic attribute is considered. The so-called altruistic attribute refers to the trait that when an altruistic individual cooperates, its neighbors, regardless of their strategies, can gain additional benefits. Intuitively, altruistic cooperative agents seem to do only what is beneficial for others, but in fact, their neighbors tend to cooperate in order to maintain the cooperative strategies of altruistic individuals. In this way, the neighbors of cooperative altruistic individuals not only guarantee their own additional benefits, but also indirectly protect the income of altruistic individuals, which strengthens the links between cooperative individuals, thus promoting the evolution of cooperation. The robustness of the results is verified on homogeneous and heterogeneous networks. Moreover, the results of individual heterogeneity corroborate the existing evidence that heterogeneity, almost irrespective of its origin, promotes cooperative actions. Our conclusions might provide additional insights into understanding the roots of cooperation in social systems.

The pattern of plasma BCAA concentration and liver Bckdha gene expression in GK rats during T2D progression.

BACKGROUND: This study was conducted to measure the concentration of branched chain amino acid (BCAA) in different species and detect the expression pattern of the liver Bckdha gene in Goto-Kakizaki (GK) rats during type 2 diabetes (T2D) progression. METHODS: We measured the concentration of BCAA in GK rats, induced T2D cynomolgus monkeys and T2D humans by liquid chromatography tandem mass spectrometry, and used real-time quantitative PCR to analyze the gene expression of Bckdha and Bckdk, which encode the rate-limiting enzymes in catabolism of, respectively, branched chain amino acids and branched chain α-keto acid dehydrogenase kinase. RESULTS: In this study, we showed that GK rat BCAA concentrations were significantly reduced at 4 and 8 weeks (P < 0.05 and P < 0.01, respectively), while the expression of Bckdha in GK rat liver was increased at 4 and 8 weeks (1.62-fold and 1.93-fold, respectively). The BCAA concentrations were significantly reduced in diet-induced T2D cynomolgus monkeys (P < 0.01), but significantly increased in T2D humans (P < 0.001). CONCLUSIONS: Our results showed that BCAA concentrations changed at different times and by different amounts in different species and during different periods of T2D progress, and the significant changes of BCAA concentration in the three species indicated that BCAA might participate in the progress of T2D. The results suggested that the increased expression of Bckdha in GK rat liver might partially explain the reduced plasma BCAA concentration at 4 and 8 weeks. Further studies are required to investigate the exact mechanism of BCAA changes in non-obese T2D.

Assessment of cadmium content of potato grown in Weining County, Guizhou Province, China.

A total of 54 soil and 54 potato samples have been collected from Weining County to evaluate the accumulation of cadmium in potatoes. The concentrations of the total Cd and the available Cd in the soil samples have been detected. The total concentrations of Cd were from 0.41 to 10.0 mg/kg with an average value of 2.60 mg/kg in soil. The concentrations of available Cd in the soil were 0.07 to 3.47 mg/kg with an average value of 0.59 mg/kg. The concentration of the available Cd showed a good linear positive correlation with the total Cd content in the soil. For the 54 potato samples, the Cd concentrations were from 0.023 to 0.18 mg/kg with an average value 0.083 mg/kg (fresh weight).The bioconcentration factor (BCF) values of Cd in potatoes, based on dry weight, were from 0.02 to 0.96 with an average value 0.24. The uptake of cadmium by plants is dependent on various soil and environmental factors. A regression model to predict the concentration of cadmium in Weining potatoes based on soil properties and elevation was developed. The results showed the elevation and the soil pH played an important role and had a negative influence on the uptake of Cd by potato in Weining County. The mean intake of Cd by adults through consumption of potato from Weining would be 5.9 µg/day, and it is well below the provisionally tolerable daily intake for Cd (70 µg/day).

Impact of Social Reward on the Evolution of the Cooperation Behavior in Complex Networks.

Social reward, as a significant mechanism explaining the evolution of cooperation, has attracted great attention both theoretically and experimentally. In this paper, we study the evolution of cooperation by proposing a reward model in network population, where a third strategy, reward, as an independent yet particular type of cooperation is introduced in 2-person evolutionary games. Specifically, a new kind of role corresponding to reward strategy, reward agents, is defined, which is aimed at increasing the income of cooperators by applying to them a social reward. Results from numerical simulations show that consideration of social reward greatly promotes the evolution of cooperation, which is confirmed for different network topologies and two evolutionary games. Moreover, we explore the microscopic mechanisms for the promotion of cooperation in the three-strategy model. As expected, the reward agents play a vital role in the formation of cooperative clusters, thus resisting the aggression of defectors. Our research might provide valuable insights into further exploring the nature of cooperation in the real world.

RNA-seq analysis of the hypothalamic transcriptome reveals the networks regulating physiopathological progress in the diabetic GK rat.

The Goto-Kakizaki (GK) rat is an animal model of non-obese type 2 diabetes (T2D). The GK rat was generated through the introduction of various genetic mutations from continuous inbreeding; these rats develop diabetes spontaneously. The mutated genes in GK rats may play key roles in the regulation of diabetes. The hypothalamus plays a central role in systematic energy homeostasis. Here, the hypothalamic transcriptomes in GK and Wistar rats at 4, 8 and 12 weeks were investigated by RNA-seq, and multiple variants and gene expression profiles were obtained. The number of variants identified from GK rats was significantly greater than that of Wistar rats, indicating that many variants were fixed and heritable in GK rats after selective inbreeding. The differential gene expression analysis indicated that GK rats had a dysfunctional hypothalamic melanocortin system and attenuation of the hypothalamic glucose-sensing pathway. In addition, we generated integrated gene network modules by combining the protein-protein interaction (PPI) network, co-expression network and mutations in GK and Wistar rats. In the modules, GK-specific genes, such as Bad, Map2k2, Adcy3, Adcy2 and Gstm6, may play key roles in hypothalamic regulation in GK rats. Our research provides a comprehensive map of the abnormalities in the GK rat hypothalamus, which reveals the new mechanisms of pathogenesis of T2D.

Establishment and evaluation of a transgenic mouse model of arthritis induced by overexpressing human tumor necrosis factor alpha.

Tumor necrosis factor alpha (TNFα) plays a key role in the pathogenesis of rheumatoid arthritis (RA). Blockade of TNFα by monoclonal antibody has been widely used for the therapy of RA since the 1990s; however, its mechanism of efficacy, and potential safety concerns of the treatment are still not fully understood. This study sought to establish a transgenic arthritic mouse model by overexpressing human TNFα (hTNFα) and to apply this model as a means to evaluate therapeutic consequences of TNFα inhibitors. The transgenic mouse line (TgTC) with FVB background was generated by incorporating 3'-modifiedhTNFαgene sequences. A progressively erosive polyarthritis developed in the TgTC mice, with many characteristics observed in human rheumatoid arthritis, including polyarticular swelling, impairment of movement, synovial hyperplasia, and cartilage and bone erosion. Gene expression analysis demonstrated that hTNFα is not only expressed in hyperplastic synovial membrane, but also in tissues without lesions, including brain, lung and kidney. Treatment of the TgTC mice with anti-hTNFα monoclonal antibodies (mAb) significantly decreased the level of hTNFα in the diseased joint and effectively prevented development of arthritis in a dose-dependent response fashion. Our results indicated that the TgTC mice represent a genetic model which can be used to comprehensively investigate the pathogenesis and therapeutics of TNFα-related diseases.

Systemic Candida parapsilosis Infection Model in Immunosuppressed ICR Mice and Assessing the Antifungal Efficiency of Fluconazole.

This study was to establish a systemic C. parapsilosis infection model in immunosuppressed ICR mice induced by cyclophosphamide and evaluate the antifungal efficiency of fluconazole. Three experiments were set to confirm the optimal infectious dose of C. parapsilosis, outcomes of infectious model, and antifungal efficiency of fluconazole in vivo, respectively. In the first experiment, comparisons of survival proportions between different infectious doses treated groups showed that the optimal inoculum for C. parapsilosis was 0.9 × 10(5) CFU per mouse. The following experiment was set to observe the outcomes of infection at a dose of 0.9 × 10(5) CFU C. parapsilosis. Postmortem and histopathological examinations presented fugal-specific lesions in multiorgans, especially in kidneys, characterized by inflammation, numerous microabscesses, and fungal infiltration. The CFU counts were consistent with the histopathological changes in tissues. Th1/Th2 cytokine imbalance was observed with increases of proinflammatory cytokines and no responses of anti-inflammatory cytokines in sera and kidneys. In the last experiment, model based evaluation of fluconazole indicated that there were ideal antifungal activities for fluconazole at dosages of 10-50 mg/kg/d. Data demonstrates that the research team has established a systemic C. parapsilosis infection model in immunosuppressed ICR mice, affording opportunities for increasing our understanding of fungal pathogenesis and treatment.

Increased permeability of the blood-brain barrier and Alzheimer's disease-like alterations in slit-2 transgenic mice.

Alzheimer's disease (AD) is a progressive neurological disorder that primarily affects memory, and its prevalence is rising. Increasing evidence suggests that dysfunction of the blood-brain barrier (BBB) may be involved in AD and other neurodegenerative diseases. Herein, we report that the permeability of the BBB is increased and that AD-like alterations are present in Slit-2 overexpressing transgenic mice. We found that behavioral change and the corresponding molecular diagnostic markers of AD, such as hippocampal neuron apoptosis, amyloid-ß (Aß) protein deposition, and acetylcholinesterase expression, were increased in the Slit-2 transgenic mice. Moreover, the endothelial cells were dysfunctional, the size of the lateral ventricle cavity increased, and the permeability of the BBB increased. Additionally, there was an increased serum level of glutamate indicating that the BBB is related to AD. Finally, histopathological analysis of other organs in the Slit-2 overexpressing mice did not show any marked abnormalities. These findings demonstrate that Slit2 overexpression may be responsible for AD-like alterations and the increased BBB permeability in these mice. Our study provides a potential novel mechanism for the development of AD.

Polarization independent broadband femtosecond optical gating using transient Kerr lens effect.

A convenient polarization independent, broadband femtosecond optical gating technique utilizing transient Kerr lens effect is demonstrated by measuring the chirp structure of linearly polarized or non-polarized white light continuum generated in water and a photonic crystal fiber, respectively. Comparing with previous time-resolved spectroscopic techniques, this Kerr lens gating method is not limited by the requirement of specific nonlinear media with broadband response, critical phase-matching conditions, and especially the pump-probe polarization relationship. By replacing the white light continuum with other broadband light signals of interest, this method can be exploited in other femtosecond time-resolved spectroscopy, e.g., femtosecond photoluminescence.